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Sample records for geothermometry sanyal classification

  1. Category:Sanyal Temperature Classification | Open Energy Information

    Open Energy Info (EERE)

    Sanyal Temperature Classification Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Category:Sanyal Temperature Classification Geothermalpower.jpg Looking for the Sanyal...

  2. Sanyal Temperature Classification | Open Energy Information

    Open Energy Info (EERE)

    and (e) unusual operational problems that impact power cost (such as scaling, corrosion, high content of non-condensable gases, etc.). Table 1. A Possible Classification...

  3. Hot Pot Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    of Replacement Wells: Average Temperature of Geofluid: Sanyal Classification (Wellhead): Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification...

  4. Tungsten Mountain Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    of Replacement Wells: Average Temperature of Geofluid: Sanyal Classification (Wellhead): Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification...

  5. McGuinness Hills Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    of Replacement Wells: Average Temperature of Geofluid: Sanyal Classification (Wellhead): Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification...

  6. Dixie Meadows Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    of Geofluid: Sanyal Classification (Wellhead): Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification (Reservoir): Depth to Top of Reservoir:...

  7. Jersey Valley Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    of Replacement Wells: Average Temperature of Geofluid: Sanyal Classification (Wellhead): Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification...

  8. Drum Mountain Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    of Geofluid: Sanyal Classification (Wellhead): Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification (Reservoir): Depth to Top of Reservoir:...

  9. Geothermal Literature Review At General Us Region (Sanyal, Et...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermal Literature Review At General Us Region (Sanyal, Et Al., 2004) Exploration Activity Details...

  10. Geothermometry | Open Energy Information

    Open Energy Info (EERE)

    In The Past 20 Years- Geochemistry In Geothermal Exploration Resource Evaluation And Reservoir Management Geothermometry (Powell and Cumming, 2010) Any Spreadsheets for...

  11. Reese River Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Reservoir Temp (Geothermometry): Reservoir Temp (Measured): Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to...

  12. Liquid Geothermometry | Open Energy Information

    Open Energy Info (EERE)

    Exploration Group: Geochemical Techniques Exploration Sub Group: Geochemical Data Analysis Parent Exploration Technique: Geothermometry Information Provided by Technique...

  13. Gas Geothermometry | Open Energy Information

    Open Energy Info (EERE)

    Exploration Group: Geochemical Techniques Exploration Sub Group: Geochemical Data Analysis Parent Exploration Technique: Geothermometry Information Provided by Technique...

  14. Isotope Geothermometry | Open Energy Information

    Open Energy Info (EERE)

    Exploration Group: Geochemical Techniques Exploration Sub Group: Geochemical Data Analysis Parent Exploration Technique: Geothermometry Information Provided by Technique...

  15. Category:Gas Geothermometry | Open Energy Information

    Open Energy Info (EERE)

    Gas Geothermometry Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Gas Geothermometry page? For detailed information on Gas...

  16. Category:Geothermometry | Open Energy Information

    Open Energy Info (EERE)

    Technique Subcategories This category has the following 2 subcategories, out of 2 total. G Gas Geothermometry 1 pages I Isotope Geothermometry 1 pages Pages in...

  17. Geothermometry At Yellowstone Region (Fournier, 1979) | Open...

    Open Energy Info (EERE)

    Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Enthalpy-Chloride digram. Not exactly cation geothermometry...

  18. Geothermometry At Nw Basin & Range Region (Shevenell & De Rocher...

    Open Energy Info (EERE)

    Geothermometry At Nw Basin & Range Region (Shevenell & De Rocher, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Nw...

  19. Geothermometry At Central Nevada Seismic Zone Region (Shevenell...

    Open Energy Info (EERE)

    Geothermometry At Central Nevada Seismic Zone Region (Shevenell & De Rocher, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry...

  20. Geothermometry At Blackfoot Reservoir Area (Hutsinpiller & Parry...

    Open Energy Info (EERE)

    Activity Details Location Blackfoot Reservoir Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown References Amy Hutsinpiller, W. T....

  1. Improved Geothermometry Through Multivariate Reaction Path Modeling and

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

    Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators | Department of Energy Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation

  2. Geothermometry At Fish Lake Valley Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Fish Lake Valley Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Fish Lake Valley Area (DOE GTP) Exploration...

  3. Geothermometry At Blue Mountain Geothermal Area (Casteel, Et...

    Open Energy Info (EERE)

    Details Location Blue Mountain Geothermal Area Exploration Technique Geothermometry Activity Date 2010 - 2010 Usefulness useful DOE-funding Unknown Exploration Basis A water...

  4. Geothermometry At Upper Hot Creek Ranch Area (Benoit & Blackwell...

    Open Energy Info (EERE)

    Activity Details Location Upper Hot Creek Ranch Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Ten water samples were collected...

  5. Geothermometry At Clear Lake Area (Thompson, Et Al., 1992) |...

    Open Energy Info (EERE)

    Activity Details Location Clear Lake Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Based on the above discussion,...

  6. Geothermometry At Chena Geothermal Area (Kolker, 2008) | Open...

    Open Energy Info (EERE)

    1973 - 1974 Usefulness not indicated DOE-funding Unknown Exploration Basis Masters thesis Norma Biggar, Geophysical Institute University of Alaska Notes Geothermometry...

  7. Geothermometry At Mt St Helens Area (Shevenell & Goff, 1995)...

    Open Energy Info (EERE)

    St Helens Area (Shevenell & Goff, 1995) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Mt St Helens Area (Shevenell & Goff,...

  8. Geothermometry At Nevada Test And Training Range Area (Sabin...

    Open Energy Info (EERE)

    Nevada Test And Training Range Area (Sabin, Et Al., 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Nevada Test And...

  9. Geothermometry At Desert Queen Area (Garchar & Arehart, 2008...

    Open Energy Info (EERE)

    Desert Queen Area (Garchar & Arehart, 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Desert Queen Area (Garchar &...

  10. Geothermometry At Silver Peak Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Silver Peak Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Silver Peak Area (DOE GTP) Exploration Activity...

  11. Geothermometry At Alum Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Alum Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Alum Area (DOE GTP) Exploration Activity Details Location...

  12. Geothermometry At The Needles Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    The Needles Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At The Needles Area (DOE GTP) Exploration Activity...

  13. Geothermometry At New River Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    New River Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At New River Area (DOE GTP) Exploration Activity Details...

  14. Geothermometry At Fort Bliss Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Fort Bliss Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Fort Bliss Area (DOE GTP) Exploration Activity...

  15. Geothermometry At Walker-Lane Transitional Zone Region (Shevenell...

    Open Energy Info (EERE)

    (Shevenell & De Rocher, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness...

  16. Geothermometry At Walker-Lane Transitional Zone Region (Laney...

    Open Energy Info (EERE)

    Zone Region (Laney, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness...

  17. Geothermometry At Akutan Fumaroles Area (Kolker, Et Al., 2010...

    Open Energy Info (EERE)

    Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes The chemistry of the hot springs strongly suggests the existence of a neutral chloride reservoir...

  18. Geothermometry At Lassen Volcanic National Park Area (Thompson...

    Open Energy Info (EERE)

    Thompson, 1985) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Lassen Volcanic National Park Area (Thompson, 1985) Exploration...

  19. New Mexico conservative ion water chemistry data and chalcedony geothermometry

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

    Shari Kelley

    2015-10-21

    Compilation of boron, lithium, bromine, and silica data from wells and springs throughout New Mexico from a wide variety of sources. The chalcedony geothermometry calculation is included in this file.

  20. Mineral Selection for Multicomponent Equilibrium Geothermometry

    SciTech Connect (OSTI)

    Plamer, C. D.; Ohly, S. R.; Smith, R. W.; Neupane, G.; McLing, T.; Mattson, E.

    2015-04-01

    Multicomponent geothermometry requires knowledge of the mineral phases in the reservoir with which the geothermal fluids may be equilibrated. These minerals phases are most often alteration products rather than primary minerals. We have reviewed the literature on geothermal systems representing most major geologic environments typically associated with geothermal activity and identified potential alteration products in various environments. We have included this information in RTEst, a code we have developed to estimate reservoir conditions (temperature, CO2 fugacity) from the geochemistry of near-surface geothermal waters. The information has been included in RTEst through the addition of filters that decrease the potential number of minerals from all possibilities based on the basis species to those that are more relevant to the particular conditions in which the user is interested. The three groups of filters include host rock type (tholeiitic, calc-alkaline, silicic, siliciclastic, carbonate), water type (acidic, neutral), and the temperature range over which the alteration minerals were formed (low, medium, high). The user-chosen mineral assemblage is checked to make sure that it does not violate the Gibbs phase rule. The user can select one of three mineral saturation weighting schemes that decrease the chance the optimization from being skewed by reaction stoichiometry or analytical uncertainty.

  1. Mineral Selection for Multicomponent Equilibrium Geothermometry

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Plamer, C. D.; Ohly, S. R.; Smith, R. W.; Neupane, G.; McLing, T.; Mattson, E.

    2015-04-01

    Multicomponent geothermometry requires knowledge of the mineral phases in the reservoir with which the geothermal fluids may be equilibrated. These minerals phases are most often alteration products rather than primary minerals. We have reviewed the literature on geothermal systems representing most major geologic environments typically associated with geothermal activity and identified potential alteration products in various environments. We have included this information in RTEst, a code we have developed to estimate reservoir conditions (temperature, CO2 fugacity) from the geochemistry of near-surface geothermal waters. The information has been included in RTEst through the addition of filters that decrease the potential numbermore » of minerals from all possibilities based on the basis species to those that are more relevant to the particular conditions in which the user is interested. The three groups of filters include host rock type (tholeiitic, calc-alkaline, silicic, siliciclastic, carbonate), water type (acidic, neutral), and the temperature range over which the alteration minerals were formed (low, medium, high). The user-chosen mineral assemblage is checked to make sure that it does not violate the Gibbs phase rule. The user can select one of three mineral saturation weighting schemes that decrease the chance the optimization from being skewed by reaction stoichiometry or analytical uncertainty.« less

  2. Extremely Low Temperature | Open Energy Information

    Open Energy Info (EERE)

    Extremely Low Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in...

  3. Geochemistry Sampling for Traditional and Multicomponent Equilibrium Geothermometry in Southeast Idaho

    SciTech Connect (OSTI)

    Cannon, Cody; Wood, Thomas; Neupane, Ghanashyam; McLing, Travis; Mattson, Earl; Dobson, Patrick; Conrad, Mark

    2014-10-01

    The Eastern Snake River Plain (ESRP) is an area of high regional heat flux due the movement of the North American Plate over the Yellowstone Hotspot beginning ca.16 Ma. Temperature gradients between 45-60 C/km (up to double the global average) have been calculated from deep wells that penetrate the upper aquifer system (Blackwell 1989). Despite the high geothermal potential, thermal signatures from hot springs and wells are effectively masked by the rapid flow of cold groundwater through the highly permeable basalts of the Eastern Snake River Plain aquifer (ESRPA) (up to 500+ m thick). This preliminary study is part of an effort to more accurately predict temperatures of the ESRP deep thermal reservoir while accounting for the effects of the prolific cold water aquifer system above. This study combines the use of traditional geothermometry, mixing models, and a multicomponent equilibrium geothermometry (MEG) tool to investigate the geothermal potential of the ESRP. In March, 2014, a collaborative team including members of the University of Idaho, the Idaho National Laboratory, and the Lawrence Berkeley National Laboratory collected 14 thermal water samples from and adjacent to the Eastern Snake River Plain. The preliminary results of chemical analyses and geothermometry applied to these samples are presented herein.

  4. Classification of Geothermal Systems: A Possible Scheme | Open...

    Open Energy Info (EERE)

    of Geothermal Systems: A Possible Scheme Abstract Abstract unavailable. Author Subir K. Sanyal Conference Thirtieth Workshop on Geothermal Reservoir Engineering; Stanford,...

  5. Improved Geothermometry Through Multivariate Reaction-path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators: Final Report

    SciTech Connect (OSTI)

    Mattson, Earl; Smith, Robert; Fujita, Yoshiko; McLing, Travis; Neupane, Ghanashyam; Palmer, Carl; Reed, David; Thompson, Vicki

    2015-03-01

    The project was aimed at demonstrating that the geothermometric predictions can be improved through the application of multi-element reaction path modeling that accounts for lithologic and tectonic settings, while also accounting for biological influences on geochemical temperature indicators. The limited utilization of chemical signatures by individual traditional geothermometer in the development of reservoir temperature estimates may have been constraining their reliability for evaluation of potential geothermal resources. This project, however, was intended to build a geothermometry tool which can integrate multi-component reaction path modeling with process-optimization capability that can be applied to dilute, low-temperature water samples to consistently predict reservoir temperature within 30 C. The project was also intended to evaluate the extent to which microbiological processes can modulate the geochemical signals in some thermal waters and influence the geothermometric predictions.

  6. Gabbs Valley Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Reservoir Temp (Measured): Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to Reservoir: Use the "Edit with...

  7. Coyote Canyon Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to Reservoir: Use the "Edit with Form" button at the top of the...

  8. Carson Lake Corral Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to Reservoir: Use the "Edit with Form" button at the top of the...

  9. Gabbs Valley Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to Reservoir: Use the "Edit with Form" button at the top of the...

  10. McCoy Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to Reservoir: Use the "Edit with Form" button at the top of the...

  11. Silver Peak Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Sanyal Classification (Reservoir): Depth to Top of Reservoir: Depth to Bottom of Reservoir: Average Depth to Reservoir: Use the "Edit with Form" button at the top of the...

  12. Ultra High Temperature | Open Energy Information

    Open Energy Info (EERE)

    Ultra High Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Ultra High Temperature Dictionary.png Ultra High...

  13. Steam Field | Open Energy Information

    Open Energy Info (EERE)

    Steam Field Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Steam Field Dictionary.png Steam Field: No definition has been...

  14. Property:SanyalTempReservoir | Open Energy Information

    Open Energy Info (EERE)

    Area + High Temperature + C Chena Geothermal Area + Very Low Temperature + D Desert Peak Geothermal Area + Moderate Temperature + F Fenton Hill HDR Geothermal Area + High...

  15. Property:SanyalTempWellhead | Open Energy Information

    Open Energy Info (EERE)

    Area + Moderate Temperature + Blue Mountain Geothermal Area + Moderate Temperature + Brady Hot Springs Geothermal Area + Low Temperature + C Chena Geothermal Area + Extremely...

  16. Classification Training Institute Catalog | Department of Energy

    Energy Savers [EERE]

    Classification Training Institute Catalog Classification Training Institute Catalog Classification Training Institute (CTI) Catalog

  17. Geology, hydrothermal petrology, stable isotope geochemistry, and fluid inclusion geothermometry of LASL geothermal test well C/T-1 (Mesa 31-1), East Mesa, Imperial Valley, California, USA

    SciTech Connect (OSTI)

    Miller, K.R.; Elders, W.A.

    1980-08-01

    Borehole Mesa 31-1 (LASL C/T-1) is an 1899-m (6231-ft) deep well located in the northwestern part of the East Mesa Geothermal Field. Mesa 31-1 is the first Calibration/Test Well (C/T-1) in the Los Alamos Scientific Laboratory (LASL), Geothermal Log Interpretation Program. The purpose of this study is to provide a compilation of drillhole data, drill cuttings, well lithology, and formation petrology that will serve to support the use of well LASL C/T-1 as a calibration/test well for geothermal logging. In addition, reviews of fluid chemistry, stable isotope studies, isotopic and fluid inclusion geothermometry, and the temperature log data are presented. This study provides the basic data on the geology and hydrothermal alteration of the rocks in LASL C/T-1 as background for the interpretation of wireline logs.

  18. Classification Documents and Publications

    Broader source: Energy.gov [DOE]

    Certain documents and publications created or issued by the Office of Classification are available from this page.

  19. Standard Subject Classification System

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1979-08-14

    The order establishes the DOE Standard Subject Classification System for classifying documents and records by subject, including correspondence, directives, and forms.Cancels DOE O 0000.1.

  20. Engineering rock mass classifications

    SciTech Connect (OSTI)

    Bieniawski, Z.T.

    1989-01-01

    This book is a reference on rock mass classification, consolidating into one handy source information widely scattered through the literature. Includes new, unpublished material and case histories. Presents the fundamental concepts of classification schemes and critically appraises their practical application in industrial projects such as tunneling and mining.

  1. 2-Stage Classification Modeling

    Energy Science and Technology Software Center (OSTI)

    1994-11-01

    CIRCUIT2.4 is used to design optimum two-stage classification configurations and operating conditions for energy conservation. It permits simulation of five basic grinding-classification circuits, including one single-stage and four two-stage classification arrangements. Hydrocyclones, spiral classifiers, and sieve band screens can be simulated, and the user may choose the combination of devices for the flowsheet simulation. In addition, the user may select from four classification modeling methods to achieve the goals of a simulation project using themore » most familiar concepts. Circuit performance is modeled based on classification parameters or equipment operating conditions. A modular approach was taken in designing the program, which allows future addition of other models with relatively minor changes.« less

  2. Standard Subject Classification System

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1978-07-19

    The order establishes the Department of Energy (DOE) Standard Subject Classification System for classifying documents and records by subject, including correspondence, directives, and forms. Canceled by DOE O 0000.1A.

  3. Classification | Department of Energy

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

    Classification Classification PREVENTING THE PROLIFERATION OF NUCLEAR WEAPONS Since the advent of the nuclear age, the United States has been dedicated to preventing the proliferation of nuclear weapons. In order to stop the spread of nuclear weapons-related technology, Congress gave the Atomic Energy Commission (now the Department of Energy [DOE]), authority to control nuclear weapons-related information. This task has gained even greater importance in recent years with an increasing number of

  4. Position Management and Classification - DOE Directives, Delegations...

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

    O 325.2, Position Management and Classification by Bruce Murray Functional areas: Position Classification, Federal Wage System Standards, Position Management and Classification The...

  5. Position Management and Classification

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2015-04-01

    The order establishes departmental requirements and responsibilities for classifying positions using general schedule (GS) and federal wage system (FWS) standards and for developing and administering a sound position management and classification program within the Department. Cancels Chapter VII of DOE O 320.1. Canceled by DOE O 325.2 Chg 1 (Admin Chg), 9-1-15.

  6. Position Management and Classification

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2015-04-01

    The order establishes departmental requirements and responsibilities for classifying positions using the general schedule (GS) and federal wage system (FWS) standards and to develop and administer a sound position management and classification program. Supersedes DOE O 325.2, dated 4-1-15.

  7. Classification of Information Manual

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1985-05-08

    To specify responsibilities, authorities, policy, and procedures for the management of the Department of Energy (DOE) classification system. Cancels DOE O 5650.2, dated 12-12-1978. Canceled by DOE O 5650.2B, dated 12-31-1991.

  8. Brochure, Understanding Classification - June 2012 | Department...

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

    Brochure, Understanding Classification - June 2012 Brochure, Understanding Classification - June 2012 June 2012 This booklet highlights your responsibilities identified in DOE...

  9. Materials Classification & Accelerated Property Predictions using...

    Office of Scientific and Technical Information (OSTI)

    Materials Classification & Accelerated Property Predictions using Machine Learning Citation Details In-Document Search Title: Materials Classification & Accelerated Property...

  10. Automated Defect Classification (ADC)

    Energy Science and Technology Software Center (OSTI)

    1998-01-01

    The ADC Software System is designed to provide semiconductor defect feature analysis and defect classification capabilities. Defect classification is an important software method used by semiconductor wafer manufacturers to automate the analysis of defect data collected by a wide range of microscopy techniques in semiconductor wafer manufacturing today. These microscopies (e.g., optical bright and dark field, scanning electron microscopy, atomic force microscopy, etc.) generate images of anomalies that are induced or otherwise appear on wafermore »surfaces as a result of errant manufacturing processes or simple atmospheric contamination (e.g., airborne particles). This software provides methods for analyzing these images, extracting statistical features from the anomalous regions, and applying supervised classifiers to label the anomalies into user-defined categories.« less

  11. Catalog, Classification Training Institute | Department of Energy

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

    Catalog, Classification Training Institute Catalog, Classification Training Institute 2016 Classification Training Course Catalog. To ensure that all classification and declassification decisions are based on these principles, the Office of Classification has undertaken the establishment and maintenance of a comprehensive classification and declassification education program. The training and education program is perpetually evolving with new courses and special briefings as events dictate.

  12. Classification of Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1978-12-12

    To provide specific responsibilities, standards, and procedures for the management of the Department of Energy (DOE) classification system. Cancels DOE O 5650.1, dated 7-18-78; DOE N 5650.1, dated 8-7-78; DOE N 5650.2, dated 8-7-78; DOE N 5650.3, dated 8-7-78. Canceled by DOE O 5650.2A, dated 5-8-95

  13. Seismic event classification system

    DOE Patents [OSTI]

    Dowla, Farid U.; Jarpe, Stephen P.; Maurer, William

    1994-01-01

    In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities.

  14. Seismic event classification system

    DOE Patents [OSTI]

    Dowla, F.U.; Jarpe, S.P.; Maurer, W.

    1994-12-13

    In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities. 21 figures.

  15. Position Classification | Department of Energy

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

    Position Classification Position Classification Documents Available for Download June 5, 2014 POLICY GUIDANCE MEMORANDUM #03 Addressing Missclassified Positions This memorandum provides policy guidance on how to consistently address misclassified positions within the Department and is effective immediately. There are several different circumstances that affect how a misclassified position will be addressed. April 27, 2010 POLICY GUIDANCE MEMORANDUM #08 DOE Fair Labor Standards Act (FLSA)

  16. Improved Geothermometry Through Multivariate Reaction Path Modeling...

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

    enhanced geothermal systems (EGS) | geothermal 2015 peer review Chemical Impact of Elevated CO2on Geothermal Energy Production track 2: hydrothermal | geothermal 2015 peer review...

  17. Colorado thermal spring water geothermometry (public dataset...

    Open Energy Info (EERE)

    chemical geothermometers for Colorado thermal springs. Data citations include Barrett, J. K. and Pearl, R. H. (1976), George, R. D., Curtis, H. A., Lester, O. C., Crook, J. K.,...

  18. Geothermometry (Klein, 2007) | Open Energy Information

    Open Energy Info (EERE)

    In The Past 20 Years- Geochemistry In Geothermal Exploration Resource Evaluation And Reservoir Management Additional References Retrieved from "http:en.openei.orgw...

  19. Integrated Chemical Geothermometry System for Geothermal Exploration

    Broader source: Energy.gov [DOE]

    DOE Geothermal Peer Review 2010 - Presentation. Develop practical and reliable system to predict geothermal reservoir temperatures from integrated chemical analyses of spring and well fluids.

  20. Benefits Summary - Temporary Job Classification | Argonne National...

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

    Temporary Job Classification Download a summary of benefits offered to employees in the temporary job classification (at least 6 months term and 20 hoursweek). PDF icon 2015 Long...

  1. EPA - UIC Well Classifications | Open Energy Information

    Open Energy Info (EERE)

    Well Classifications Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: EPA - UIC Well Classifications Author Environmental Protection Agency Published...

  2. Position Management and Classification - DOE Directives, Delegations...

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

    CURRENT DOE O 325.2 Chg 1 (AdminChg), Position Management and Classification by Bruce Murray Functional areas: Administrative Change, Position Classification, Federal Wage System...

  3. Identification of Export Control Classification Number - ITER

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

    Identification of Export Control Classification Number - ITER (April 2012) As the "Shipper of Record" please provide the appropriate Export Control Classification Number (ECCN) for...

  4. Brochure, Classification Bulletin GEN-16- February 2012

    Broader source: Energy.gov [DOE]

    Brochure on Classification Bulletin GEN-16, No Comment Policy on Classified Information in the open literature

  5. HIV classification using coalescent theory

    SciTech Connect (OSTI)

    Zhang, Ming; Letiner, Thomas K; Korber, Bette T

    2008-01-01

    Algorithms for subtype classification and breakpoint detection of HIV-I sequences are based on a classification system of HIV-l. Hence, their quality highly depend on this system. Due to the history of creation of the current HIV-I nomenclature, the current one contains inconsistencies like: The phylogenetic distance between the subtype B and D is remarkably small compared with other pairs of subtypes. In fact, it is more like the distance of a pair of subsubtypes Robertson et al. (2000); Subtypes E and I do not exist any more since they were discovered to be composed of recombinants Robertson et al. (2000); It is currently discussed whether -- instead of CRF02 being a recombinant of subtype A and G -- subtype G should be designated as a circulating recombination form (CRF) nd CRF02 as a subtype Abecasis et al. (2007); There are 8 complete and over 400 partial HIV genomes in the LANL-database which belong neither to a subtype nor to a CRF (denoted by U). Moreover, the current classification system is somehow arbitrary like all complex classification systems that were created manually. To this end, it is desirable to deduce the classification system of HIV systematically by an algorithm. Of course, this problem is not restricted to HIV, but applies to all fast mutating and recombining viruses. Our work addresses the simpler subproblem to score classifications of given input sequences of some virus species (classification denotes a partition of the input sequences in several subtypes and CRFs). To this end, we reconstruct ancestral recombination graphs (ARG) of the input sequences under restrictions determined by the given classification. These restritions are imposed in order to ensure that the reconstructed ARGs do not contradict the classification under consideration. Then, we find the ARG with maximal probability by means of Markov Chain Monte Carlo methods. The probability of the most probable ARG is interpreted as a score for the classification. To our knowledge, this particular problem was not addressed up to now. The software package Lamarc Kuhner et al. (2000) allows for sampling ARGs, but it assumes that recombination events only involve one breakpoint. However, in HIV recombinants usually have more than one breakpoint. Moreover, Lamarc does not perform an explicit breakpoint detection, but tries to find them by chance. Although this approach is suitable for most situations, it will not lead to satisfying results in case of highly recombining viruses with multiple breakpoints.

  6. Hazard classification process at LLNL

    SciTech Connect (OSTI)

    Hildum, J. S., LLNL

    1998-05-01

    An essential part of Integrated Safety Management is the identification of hazards in the workplace and the assessment of possible consequences of accidents involving those hazards. The process of hazard classification suggested by the DOE orders on Safety Analysis is the formalization of this identification and assessment for hazards that might cause harm to the public or workers external to the operation. Possible injury to workers in the facility who are exposed to the hazard is not considered in the designation of the hazard classification for facilities at LLNL, although worker safety is discussed in facility Safety Basis documentation.

  7. Materials Classification & Accelerated Property Predictions using...

    Office of Scientific and Technical Information (OSTI)

    Title: Materials Classification & Accelerated Property Predictions using Machine Learning ... Country of Publication: United States Language: English Subject: Materials Science(36) ...

  8. Vapor Retarder Classification - Building America Top Innovation |

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

    Department of Energy Vapor Retarder Classification - Building America Top Innovation Vapor Retarder Classification - Building America Top Innovation Photo of a vapor retarder classification. Air-tight and well-insulated homes have little or no tolerance for drying if they get wet; moisture control is critical. This Top Innovation profile describes Building America research that established vapor retarder classifications and appropriate applications that has been instrumental in the market

  9. Updating the Classification of Geothermal Resources

    Broader source: Energy.gov [DOE]

    USGS is working with DOE, the geothermal industry, and academic partners to develop a new geothermal resource classification system.

  10. Updating the Classification of Geothermal Resources- Presentation

    Broader source: Energy.gov [DOE]

    USGS is working with DOE, the geothermal industry, and academic partners to develop a new geothermal resource classification system.

  11. Statutes, Regulations, and Directives for Classification Program |

    Energy Savers [EERE]

    Department of Energy Statutes, Regulations, and Directives for Classification Program Statutes, Regulations, and Directives for Classification Program Classification Atomic Energy Act of 1954 - Establishes Government-wide policies for classifying, safeguarding, and declassifying Restricted Data information. 10 CFR Part 1045, Nuclear Classification and Declassification - Establishes the Government-wide policies and procedures for implementing sections 141 and 142 of the Atomic Energy Act of

  12. National Geothermal Resource Assessment and Classification

    Broader source: Energy.gov [DOE]

    National Geothermal Resource Assessment and Classification presentation at the April 2013 peer review meeting held in Denver, Colorado.

  13. Classification Training Institute | Department of Energy

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

    Classification Training Institute Classification Training Institute Welcome to the Classification Training Institute (CTI) Webpage. This page provides information for Department of Energy (DOE) and non-DOE personnel concerning courses offered by the CTI, the current course schedule, and provides training and resources (reference materials and links to web pages with additional information) concerning information classified and controlled information within the DOE. This page also contains short

  14. Office of Classification | Department of Energy

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

    Classification Office of Classification Mission The Office of Classification develops and interprets Government-wide and Department-wide policies, procedures and guidance, performs document reviews, and conducts training to ensure the accurate identification of information and documents that must be classified or controlled under statute or Executive order to protect the National Security, and controlled unclassified information (Official Use Only) to protect commercial and private interests and

  15. Geothermal Resource Classification | Department of Energy

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

    Geothermal Resource Classification.PDF More Documents & Publications Water Use in the Development and Operations of Geothermal Power Plants Water Use in the Development and...

  16. National Geothermal Resource Assessment and Classification |...

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

    National Geothermal Resource Assessment and Classification presentation at the April 2013 peer review meeting held in Denver, Colorado. PDF icon gsresourceassessmentpeer2013.pdf ...

  17. Discriminant forest classification method and system

    DOE Patents [OSTI]

    Chen, Barry Y.; Hanley, William G.; Lemmond, Tracy D.; Hiller, Lawrence J.; Knapp, David A.; Mugge, Marshall J.

    2012-11-06

    A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.

  18. Classification CommuniQué - Year: 2015 | Department of Energy

    Office of Environmental Management (EM)

    5 Classification CommuniQué - Year: 2015 Classification newsletters for the year 2015, consisting of the following issues: PDF icon CommuniQue 2015-1 - Spring 2015 More Documents & Publications Classification CommuniQué - Year: 2014 Classification CommuniQué - Year: 2012 Classification CommuniQué - Year: 2013

  19. Object Classification at the Nearby Supernova Factory (Journal...

    Office of Scientific and Technical Information (OSTI)

    Object Classification at the Nearby Supernova Factory Citation Details In-Document Search Title: Object Classification at the Nearby Supernova Factory You are accessing a...

  20. IDENTIFYING ROOF FALL PREDICTORS USING FUZZY CLASSIFICATION

    SciTech Connect (OSTI)

    Bertoncini, C. A.; Hinders, M. K.

    2010-02-22

    Microseismic monitoring involves placing geophones on the rock surfaces of a mine to record seismic activity. Classification of microseismic mine data can be used to predict seismic events in a mine to mitigate mining hazards, such as roof falls, where properly bolting and bracing the roof is often an insufficient method of preventing weak roofs from destabilizing. In this study, six months of recorded acoustic waveforms from microseismic monitoring in a Pennsylvania limestone mine were analyzed using classification techniques to predict roof falls. Fuzzy classification using features selected for computational ease was applied on the mine data. Both large roof fall events could be predicted using a Roof Fall Index (RFI) metric calculated from the results of the fuzzy classification. RFI was successfully used to resolve the two significant roof fall events and predicted both events by at least 15 hours before visual signs of the roof falls were evident.

  1. National Geothermal Resource Assessment and Classification

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

    Program 2013 Peer Review National Geothermal Resource Assessment and Classification Colin F. Williams US Geological Survey Data Systems and Analysis (Resource Assessment) April 24, 2013 This presentation does not contain any proprietary confidential, or otherwise restricted information. 2 | US DOE Geothermal Office eere.energy.gov Relevance/Impact of Research * Overall Summary - Major Project Goals * Develop new Geothermal Resource Classification standards * Expand Resource Assessment scope

  2. Waste Classification FAQ DRAFT.docx

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

    Public Understanding of Waste Classification DRAFT FAQ Public Involvement Committee Meeting, Hanford Advisory Board Wednesday, September 4, 2013 at the Red Lion - Columbia Center Waste Classification The better the public understands how wastes are classified, the more informed they will be when weighing in about Hanford cleanup. Here are some frequently asked questions about different waste forms and how they are classified. Q. How are radioactive wastes classified? A. Wastes are classified

  3. Identification of Export Control Classification Number - ITER

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

    Identification of Export Control Classification Number - ITER (April 2012) As the "Shipper of Record" please provide the appropriate Export Control Classification Number (ECCN) for the products (equipment, components and/or materials) and if applicable the nonproprietary associated installation/maintenance documentation that will be shipped from the United States to the ITER International Organization in Cadarache, France or to ITER Members worldwide on behalf of the Company. In rare

  4. Light-water reactor accident classification

    SciTech Connect (OSTI)

    Washburn, B.W.

    1980-02-01

    The evolution of existing classifications and definitions of light-water reactor accidents is considered. Licensing practice and licensing trends are examined with respect to terms of art such as Class 8 and Class 9 accidents. Interim definitions, consistent with current licensing practice and the regulations, are proposed for these terms of art.

  5. Classification CommuniQué- Year: 2012

    Broader source: Energy.gov [DOE]

    Classification newsletters for the year 2012 consisting of the following issues: CommuniQué 2012-1 - March/April 2012 CommuniQué 2012-2 - September/October 2012 CommuniQué 2012-2 - September/October 2012 - Crossword Puzzle Solution

  6. Geothermometry At Teels Marsh Area (Coolbaugh, Et Al., 2006)...

    Open Energy Info (EERE)

    useful DOE-funding Unknown Notes Follow up (to ASTER satellite imaging) analysis of spring and well waters yielded geothermometer reservoir estimates up to 192C References...

  7. Geothermometry At Rhodes Marsh Area (Coolbaugh, Et Al., 2006...

    Open Energy Info (EERE)

    useful DOE-funding Unknown Notes Follow up (to ASTER satellite imaging) analysis of spring and well waters yielded geothermometer reservoir estimates up to 162C References...

  8. Geothermometry At Salt Wells Area (Edmiston & Benoit, 1984) ...

    Open Energy Info (EERE)

    and drilled during the early 1980's that had not been documented previously in the literature, (2) summarize and compare chemical and temperature data from known moderate- to...

  9. Geothermometry At Lassen Volcanic National Park Area (Janik ...

    Open Energy Info (EERE)

    sample taken had a pH of 8.35 and contained 2100 ppm Cl and 0.55 ppm NH3. Ratios of Na+K+ and Na+Cl remained nearly constant throughout the flow test. Cation geothermometers...

  10. Geochemistry And Geothermometry Of Spring Water From The Blackfoot...

    Open Energy Info (EERE)

    for eight springs along the Corral Creek drainage. The springs along Corral Creek have Na-K-Ca temperatures that average 354C, a direct result of high potassium concentrations in...

  11. Geothermometry At Hot Springs Ranch Area (Szybinski, 2006) |...

    Open Energy Info (EERE)

    of two distinct waters in this group of samples (Tom Powell of Thermochem Inc., personal communication, 2005). Powell found that MDH, TRS-1 and TRS-6 are the most prospective...

  12. Geothermometry At Coso Geothermal Area (1980) | Open Energy Informatio...

    Open Energy Info (EERE)

    DOE-funding Unknown Exploration Basis Fluid temperature of feed water Notes Cation and sulfate isotope geothermometers indicate that the reservoir feeding water to the Coso Hot...

  13. Geothermometry At Coso Geothermal Area (1978) | Open Energy Informatio...

    Open Energy Info (EERE)

    analysis to determine fluid origin. The surface expression of fumarole and acid sulfate pools and shallow steam wells gives a false indication of an extensive vapor...

  14. Geothermometry At Mt Princeton Hot Springs Geothermal Area (Pearl...

    Open Energy Info (EERE)

    Celcius References R.H. Pearl, J.K. Barrett (1976) Geothermal resources of the Upper San Luis and Arkansas valleys, Colorado Additional References Retrieved from "http:...

  15. Geothermal Reservoir Temperatures in Southeastern Idaho using Multicomponent Geothermometry

    SciTech Connect (OSTI)

    Neupane, Ghanashyam; Mattson, Earl D.; McLing, Travis L.; Palmer, Carl D.; Smith, Robert W.; Wood, Thomas R.; Podgorney, Robert K.

    2015-03-01

    Southeastern Idaho exhibits numerous warm springs, warm water from shallow wells, and hot water within oil and gas test wells that indicate a potential for geothermal development in the area. Although the area exhibits several thermal expressions, the measured geothermal gradients vary substantially (19 61 C/km) within this area, potentially suggesting a redistribution of heat in the overlying ground water from deeper geothermal reservoirs. We have estimated reservoir temperatures from measured water compositions using an inverse modeling technique (Reservoir Temperature Estimator, RTEst) that calculates the temperature at which multiple minerals are simultaneously at equilibrium while explicitly accounting for the possible loss of volatile constituents (e.g., CO2), boiling and/or water mixing. Compositions of a selected group of thermal waters representing southeastern Idaho hot/warm springs and wells were used for the development of temperature estimates. The temperature estimates in the the region varied from moderately warm (59 C) to over 175 C. Specifically, hot springs near Preston, Idaho resulted in the highest temperature estimates in the region.

  16. Geothermometry At Roosevelt Hot Springs Geothermal Area (Ward...

    Open Energy Info (EERE)

    Area. References S. H. Ward, W. T. Parry, W. P. Nash, W. R. Sill, K. L. Cook, R. B. Smith, D. S. Chapman, F. H. Brown, J. A. Whelan, J. R. Bowman (1978) A Summary of the...

  17. Geothermometry At Raft River Geothermal Area (1980) | Open Energy...

    Open Energy Info (EERE)

    River geothermal system, Cassia County, Idaho Urban, T.C.; Diment, W.H.; Nathenson, M.; Smith, E.P.; Ziagos, J.P.; Shaeffer, M.H. (1 January 1986) Temperature,...

  18. Geothermometry At Long Valley Caldera Geothermal Area (Sorey...

    Open Energy Info (EERE)

    studies, and seem to prove useful in most cases (Flexser, 1991; Goff et al., 1991; Smith and Suemnicht, 1991). Results from these studies are also summarized in Sorey et al....

  19. Geothermometry At Socorro Mountain Area (Owens, Et Al., 2005...

    Open Energy Info (EERE)

    thermal waters with a minimum of 82oC at depth References Lara Owens, Richard Baars, David Norman, Harold Tobin (2005) New Methods In Exploration At The Socorro Peak Kgra- A...

  20. Geothermometry At Reese River Area (Henkle & Ronne, 2008) | Open...

    Open Energy Info (EERE)

    DOE-funding Unknown Notes Four formation water samples were collected from well 56-4, during an airlift test which took place between November 11 and November 14, 2007....

  1. Geothermometry At Long Valley Caldera Geothermal Area (McKenzie...

    Open Energy Info (EERE)

    published in 1976 (Mariner and Willey, 1976). Details of sampling practices and field treatment are detailed in the text. Water samples were passed through a 0.7x4 cm column...

  2. Geothermometry At Salt Wells Area (Coolbaugh, Et Al., 2006) ...

    Open Energy Info (EERE)

    and ICP emission for anions. The hottest sampled spring appears to match the location and temperature of the Borax Spring, first described in 1885, but reportedly inactive in 1981...

  3. Geothermometry At Salt Wells Area (Henkle, Et Al., 2005) | Open...

    Open Energy Info (EERE)

    were carried out in conjunction with geologic mapping to test the application of these ground-based techniques to geothermal exploration at three prospects in Nevada by Henkle...

  4. Geothermometry At Long Valley Caldera Geothermal Area (Farrar...

    Open Energy Info (EERE)

    stages of hydrothermal activity, flow, and recharge in the Long Valley caldera groundwater system. Fluids were sampled from LVEW during flow testing in May 2000, July 2000,...

  5. Geothermometry At Northern Basin & Range Region (Cole, 1983)...

    Open Energy Info (EERE)

    Fish (Wilson), Twin Peak, Cudahy, Laverkin, Grantsville, Crystal Prison, Arrowhead, Red Hill, Monroe, Joseph, Castilla, Saratoga, Thermo, Crater, Wasatch, Beck, Deseret, Big...

  6. Geothermometry At Lahaina-Kaanapali Area (Thomas, 1986) | Open...

    Open Energy Info (EERE)

    Date Usefulness not indicated DOE-funding Unknown Notes Groundwater temperature and chemistry surveys were similarly unable to identify any detectable thermal influence on...

  7. Geothermometry At Northern Basin & Range Region (Laney, 2005...

    Open Energy Info (EERE)

    Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which...

  8. Geothermometry At Buffalo Valley Hot Springs Area (Laney, 2005...

    Open Energy Info (EERE)

    Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which...

  9. Geothermometry At Nw Basin & Range Region (Laney, 2005) | Open...

    Open Energy Info (EERE)

    Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which...

  10. Geothermometry At Central Nevada Seismic Zone Region (Laney,...

    Open Energy Info (EERE)

    Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which...

  11. Isotope Geothermometry At Lightning Dock Geothermal Area (Witcher...

    Open Energy Info (EERE)

    Usefulness useful DOE-funding Unknown Exploration Basis Part of the Geothermal Resource Evaluation and Definition (GRED) Program administered by DOE-AAO under Cooperative...

  12. Geothermometry At Kawaihae Area (Thomas, 1986) | Open Energy...

    Open Energy Info (EERE)

    however, the data that are available strongly substantiate the presence of a thermal resource. A measured water temperature of 31 degrees C in one well is clearly above normal...

  13. Geothermometry At Columbus Salt Marsh Area (Shevenell, Et Al...

    Open Energy Info (EERE)

    References Lisa Shevenell, Mark Coolbaugh, Chris Sladek, Rick Zehner, Chris Kratt, James Faulds, Robin Penfield (2008) Our Evolving Knowledge Of Nevada'S Geothermal Resource...

  14. Geothermometry At Teels Marsh Area (Shevenell, Et Al., 2008)...

    Open Energy Info (EERE)

    References Lisa Shevenell, Mark Coolbaugh, Chris Sladek, Rick Zehner, Chris Kratt, James Faulds, Robin Penfield (2008) Our Evolving Knowledge Of Nevada'S Geothermal Resource...

  15. Geothermometry At Rhodes Marsh Area (Shevenell, Et Al., 2008...

    Open Energy Info (EERE)

    References Lisa Shevenell, Mark Coolbaugh, Chris Sladek, Rick Zehner, Chris Kratt, James Faulds, Robin Penfield (2008) Our Evolving Knowledge Of Nevada'S Geothermal Resource...

  16. Geothermometry At Gabbs Alkali Flat Area (Kratt, Et Al., 2008...

    Open Energy Info (EERE)

    Mark Coolbaugh, Chris Sladek, Rick Zehner, Robin Penfield, Ben Delwiche (2008) A New Gold Pan For The West- Discovering Blind Geothermal Systems With Shallow Temperature Surveys...

  17. Geothermometry At U.S. Midwest Region (Vugrinovich, 1987) | Open...

    Open Energy Info (EERE)

    Activity Date Usefulness useful DOE-funding Unknown Notes Michigan "The silica heat flow estimator does provide estimates of surface heat flow which appear to be in good...

  18. Geothermometry At Lualualei Valley Area (Thomas, 1986) | Open...

    Open Energy Info (EERE)

    have been commonly used in Hawaii for identifying geothermal potential (i.e. silica concentration and chloride to magnesium ion ratios) were anomalous in the groundwater of this...

  19. Geothermometry At Long Valley Caldera Geothermal Area (Mariner...

    Open Energy Info (EERE)

    California R.O. Fournier, Michael L. Sorey, Robert H. Mariner, Alfred H. Truesdell (1979) Chemical and Isotopic Prediction of Aquifer Temperatures in the Geothermal System at Long...

  20. Security Framework for Control System Data Classification and Protection |

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

    Department of Energy Framework for Control System Data Classification and Protection Security Framework for Control System Data Classification and Protection This document presents a data classification process that gives utility administrators, control engineers, and IT personnel a cohesive approach to deploying efficient and effective process control security. PDF icon Security Framework for Control System Data Classification and Protection More Documents & Publications Essential Body

  1. Brochure, Classification Overview of RD and FRD - September 2010 |

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

    Department of Energy Overview of RD and FRD - September 2010 Brochure, Classification Overview of RD and FRD - September 2010 September 2010 A Classification Overview of Restricted Data and Formerly Restricted Data - Brochure. PDF icon Brochure, Classification Overview of RD and FRD - September 2010 More Documents & Publications Briefing, Classification of Nuclear Weapons-Related Information Briefing, Transclassified Foreign Nuclear Information - June 2014 Brochure, Training and Outreach

  2. Brochure, Understanding Classification - June 2012 | Department of Energy

    Energy Savers [EERE]

    Brochure, Understanding Classification - June 2012 Brochure, Understanding Classification - June 2012 June 2012 This booklet highlights your responsibilities identified in DOE Order 475.2A, Identifying Classified Information. Classification is how certain information is identified that needs to be protected in the interest of national security. DOE has a formal process for classifying and declassifying information, documents, and materials. PDF icon Brochure, Understanding Classification - June

  3. Classification CommuniQué - Year: 2013 | Department of Energy

    Office of Environmental Management (EM)

    3 Classification CommuniQué - Year: 2013 Classification newsletters for the year 2013, consisting of the following issues: PDF icon CommuniQué 2013-1 - Spring 2013 PDF icon CommuniQué 2013-2 - Fall 2013 More Documents & Publications Briefing, Transclassified Foreign Nuclear Information - June 2014 Classification CommuniQué - Year: 2012 The Department of Energy's National Security Information Fundamental Classification Guidance Review

  4. Classification CommuniQué - Year: 2014 | Department of Energy

    Office of Environmental Management (EM)

    4 Classification CommuniQué - Year: 2014 Classification newsletters for the year 2014, consisting of the following issues: PDF icon CommuniQue Spring 2014 PDF icon CommuniQue Fall 2014 More Documents & Publications Briefing, DOE Order 475.2B, Identifying Classified Information, What Derivative Classifiers Should Know Brochure, Understanding Classification - June 2012 Declassification Instruction Guide, March 2014

  5. Microsoft Word - Global Harmonization Classifications.docx

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

    Harmonization Classifications: The following is prepared for your understanding of the new Global Harmonization System Physical hazards  H200: Unstable explosive  H201: Explosive; mass explosion hazard  H202: Explosive; severe projection hazard  H203: Explosive; fire, blast or projection hazard  H204: Fire or projection hazard  H205: May mass explode in fire  H220: Extremely flammable gas  H221: Flammable gas  H222: Extremely flammable aerosol  H223: Flammable

  6. To' File CLASSIFICATION CANCF,LLED

    Office of Legacy Management (LM)

    To' File CLASSIFICATION CANCF,LLED DATE AUG 1 7 1962 For the Atomio Energy Comml~~n RAYMOND A. CARPENTER b for the Chief. Declaselfloatlon Branch ;\. 2 : ' WC& -;l$, 4" Thle doom&t ooneleta of.& -pages and-a . . . figures. ! of-U-copies, Serlee- p.L A.& 0.. IiiRer Me castinc of cQatinge on Slugs, Alma; Run #2, August 5 and 4, 1944 ABeoMdtr~~~,,wsmade~totl~GarocoodpLantoflrlcoaonthaabove datesby J. Ii. Chtiizdn, J. L SUxme, L. U. Footer, ti A. B. &&nger. Ap~oxkuately

  7. Cross-ontological analytics for alignment of different classification schemes

    DOE Patents [OSTI]

    Posse, Christian (Seattle, WA); Sanfilippo, Antonio P (Richland, WA); Gopalan, Banu (Cleveland, OH); Riensche, Roderick M (Richland, WA); Baddeley, Robert L (Richland, WA)

    2010-09-28

    Quantification of the similarity between nodes in multiple electronic classification schemes is provided by automatically identifying relationships and similarities between nodes within and across the electronic classification schemes. Quantifying the similarity between a first node in a first electronic classification scheme and a second node in a second electronic classification scheme involves finding a third node in the first electronic classification scheme, wherein a first product value of an inter-scheme similarity value between the second and third nodes and an intra-scheme similarity value between the first and third nodes is a maximum. A fourth node in the second electronic classification scheme can be found, wherein a second product value of an inter-scheme similarity value between the first and fourth nodes and an intra-scheme similarity value between the second and fourth nodes is a maximum. The maximum between the first and second product values represents a measure of similarity between the first and second nodes.

  8. Classification/Declassification of Government Documents | Department of

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

    Energy Services » Classification » Classification/Declassification of Government Documents Classification/Declassification of Government Documents BALANCING NATIONAL SECURITY WITH OPENESS DOE promotes the release of information assets to the maximum extent possible consistent at all times with our paramount concern for the security of our nation. Programs are established to review historical records scheduled for declassification, documents requested under statute or Executive Order,

  9. Hawaii Land Study Bureau's Land Classification Finder | Open...

    Open Energy Info (EERE)

    Not Provided DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Hawaii Land Study Bureau's Land Classification Finder Citation Hawaii State...

  10. North American Industry Classification System (NAICS) Search Tool

    Broader source: Energy.gov [DOE]

    The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and...

  11. Bianchi Attractors: A Classification of Extremal Black Brane...

    Office of Scientific and Technical Information (OSTI)

    A Classification of Extremal Black Brane Geometries Authors: Iizuka, Norihiro ; CERN ; Kachru, Shamit ; Stanford U., ITP SLAC ; Kundu, Nilay ; Narayan, Prithvi ; Sircar,...

  12. A Brief Classification of Geothermal Systems | Open Energy Information

    Open Energy Info (EERE)

    LibraryAdd to library General: A Brief Classification of Geothermal Systems Author Paul Brophy Published GRC Annual Meeting, 2007 DOI Not Provided Check for DOI availability:...

  13. Updating the US hydrologic classification: an approach to clustering...

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

    subsequent classifications, we observed minimal increases in dimensionality (i.e. ... (2) nonreference with minimal hydrologic disturbance, and (3) pre-dam regulation. ...

  14. Multivariate classification of infrared spectra of cell and tissue samples

    DOE Patents [OSTI]

    Haaland, David M. (Albuquerque, NM); Jones, Howland D. T. (Albuquerque, NM); Thomas, Edward V. (Albuquerque, NM)

    1997-01-01

    Multivariate classification techniques are applied to spectra from cell and tissue samples irradiated with infrared radiation to determine if the samples are normal or abnormal (cancerous). Mid and near infrared radiation can be used for in vivo and in vitro classifications using at least different wavelengths.

  15. Classification Policy, Guidance & Reports | Department of Energy

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

    Classification Policy, Guidance & Reports Classification Policy, Guidance & Reports Statutes, Regulations, Executive Orders, DOE Directives and Bulletins Atomic Energy Act of 1954 - Establishes Government-wide policies for classifying, safeguarding, and declassifying Restricted Data information. 10 CFR Part 1045 - establishes responsiblities and requirements for classifying and declassifying RD and FRD. Executive Order 13526, Classified National Security Information - Prescribes the

  16. Hazard classification assessment for the High Voltage Initiator

    SciTech Connect (OSTI)

    Cogan, J.D.

    1994-04-19

    An investigation was conducted to determine whether the High Voltage Initiator (Sandia p number 395710; Navy NAVSEA No. 6237177) could be assigned a Department of Transportation (DOT) hazard classification of ``IGNITERS, 1.4G, UN0325`` under Code of Federal Regulations, 49 CFR 173.101, when packaged per Mound drawing NXB911442. A hazard classification test was performed, and the test data led to a recommended hazard classification of ``IGNITERS, 1.4G, UN0325,`` based on guidance outlined in DOE Order 1540.2 and 49 CFR 173.56.

  17. NEW- DOE O 325.2, Position Management and Classification

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    The order establishes departmental requirements and responsibilities for classifying positions using general schedule (GS) and federal wage system (FWS) standards and for developing and administering a sound position management and classification program within the Department.

  18. Materials Classification & Accelerated Property Predictions using Machine

    Office of Scientific and Technical Information (OSTI)

    Learning (Technical Report) | SciTech Connect Technical Report: Materials Classification & Accelerated Property Predictions using Machine Learning Citation Details In-Document Search Title: Materials Classification & Accelerated Property Predictions using Machine Learning Examine reliability of ML methods for "small" data sets and potenial for new insights - role of excess effective born charge as a feature. Authors: Pilania, Ghanshyam [1] ; Gubernatis, James E. [1] ;

  19. Bianchi Attractors: A Classification of Extremal Black Brane Geometries

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Bianchi Attractors: A Classification of Extremal Black Brane Geometries Citation Details In-Document Search Title: Bianchi Attractors: A Classification of Extremal Black Brane Geometries Authors: Iizuka, Norihiro ; /CERN ; Kachru, Shamit ; /Stanford U., ITP /SLAC ; Kundu, Nilay ; Narayan, Prithvi ; Sircar, Nilanjan ; Trivedi, Sandip P. ; /Tata Inst. Publication Date: 2013-07-10 OSTI Identifier: 1087393 Report Number(s): SLAC-PUB-15686 arXiv:1201.4861 DOE

  20. Briefing, Classification Bulletin GEN-16 - October 2014 | Department of

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

    Energy Bulletin GEN-16 - October 2014 Briefing, Classification Bulletin GEN-16 - October 2014 October 2014 No Comment Policy on Classified Information in the Open Literature This briefing provides information on Classification Bulletin GEN-16, No Comment Policy on Classified Information in the open literature. Provides guidance as to what use or discussion is allowed concerning sources in the open literature that contain classified information and what constitutes "comment". PDF

  1. National Security Information Classification Guidance Fundamental Review, June 2012

    Office of Environmental Management (EM)

    Security Information Fundamental Classification Guidance Review Report to the Information Security Oversight Office June 2012 United States Department of Energy Washington, DC 20585 Department of Energy | June 2012 National Security Information Fundamental Classification Guidance Review | Page iii Executive Summary Section 1.9 of Executive Order (E.O.) 13526, Classified National Security Information, dated December 29, 2009, directs agency heads to complete a comprehensive review of agency

  2. Classification of US hydropower dams by their modes of operation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    McManamay, Ryan A.; Oigbokie, II, Clement O.; Kao, Shih -Chieh; Bevelhimer, Mark S.

    2016-02-19

    A key challenge to understanding ecohydrologic responses to dam regulation is the absence of a universally transferable classification framework for how dams operate. In the present paper, we develop a classification system to organize the modes of operation (MOPs) for U.S. hydropower dams and powerplants. To determine the full diversity of MOPs, we mined federal documents, open-access data repositories, and internet sources. W then used CART classification trees to predict MOPs based on physical characteristics, regulation, and project generation. Finally, we evaluated how much variation MOPs explained in sub-daily discharge patterns for stream gages downstream of hydropower dams. After reviewingmore » information for 721 dams and 597 power plants, we developed a 2-tier hierarchical classification based on 1) the storage and control of flows to powerplants, and 2) the presence of a diversion around the natural stream bed. This resulted in nine tier-1 MOPs representing a continuum of operations from strictly peaking, to reregulating, to run-of-river, and two tier-2 MOPs, representing diversion and integral dam-powerhouse configurations. Although MOPs differed in physical characteristics and energy production, classification trees had low accuracies (<62%), which suggested accurate evaluations of MOPs may require individual attention. MOPs and dam storage explained 20% of the variation in downstream subdaily flow characteristics and showed consistent alterations in subdaily flow patterns from reference streams. Lastly, this standardized classification scheme is important for future research including estimating reservoir operations for large-scale hydrologic models and evaluating project economics, environmental impacts, and mitigation.« less

  3. 1. INSERT ABOVE, CLASSIFICATION LEVEL, UNCLASSIFIED, OR OFFICIAL USE ONLY

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

    (03-98) (Exception to SF 14, Approved by NARS, June 1978) 1. INSERT ABOVE, CLASSIFICATION LEVEL, UNCLASSIFIED, OR OFFICIAL USE ONLY 4. PRECEDENCE DESIGNATION ("X" appropriate box): 6. FROM 9. TO COMMUNICATION CENTER ROUTING U.S. DEPARTMENT OF ENERGY TELECOMMUNICATION MESSAGE (See reverse side for Instructions) 5. TYPE OF MESSAGE FOR COMMUNICATION CENTER USE MESSAGE IDENTIFICATION NR: DTG: Z YES 2. MESSAGE CONTAINS WEAPON DATA? ("X" appropriate box. Message Center will not

  4. Microsoft Word - Data Classification Security Framework V5.doc

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

    888P Unlimited Release Printed July 2007 Security Framework for Control System Data Classification and Protection Bryan T. Richardson and John Michalski Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under Contract DE-AC04-94AL85000. Approved for public release;

  5. Microsoft Word - Data Classification Security Framework V5.doc

    Office of Environmental Management (EM)

    888P Unlimited Release Printed July 2007 Security Framework for Control System Data Classification and Protection Bryan T. Richardson and John Michalski Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under Contract DE-AC04-94AL85000. Approved for public release;

  6. Various forms of indexing HDMR for modelling multivariate classification problems

    SciTech Connect (OSTI)

    Aksu, a?r?; Tunga, M. Alper

    2014-12-10

    The Indexing HDMR method was recently developed for modelling multivariate interpolation problems. The method uses the Plain HDMR philosophy in partitioning the given multivariate data set into less variate data sets and then constructing an analytical structure through these partitioned data sets to represent the given multidimensional problem. Indexing HDMR makes HDMR be applicable to classification problems having real world data. Mostly, we do not know all possible class values in the domain of the given problem, that is, we have a non-orthogonal data structure. However, Plain HDMR needs an orthogonal data structure in the given problem to be modelled. In this sense, the main idea of this work is to offer various forms of Indexing HDMR to successfully model these real life classification problems. To test these different forms, several well-known multivariate classification problems given in UCI Machine Learning Repository were used and it was observed that the accuracy results lie between 80% and 95% which are very satisfactory.

  7. UAS Detection Classification and Neutralization: Market Survey 2015

    SciTech Connect (OSTI)

    Birch, Gabriel Carisle; Griffin, John Clark; Erdman, Matthew Kelly

    2015-07-01

    The purpose of this document is to briefly frame the challenges of detecting low, slow, and small (LSS) unmanned aerial systems (UAS). The conclusion drawn from internal discussions and external reports is the following; detection of LSS UAS is a challenging problem that can- not be achieved with a single detection modality for all potential targets. Classification of LSS UAS, especially classification in the presence of background clutter (e.g., urban environment) or other non-threating targets (e.g., birds), is under-explored. Though information of avail- able technologies is sparse, many of the existing options for UAS detection appear to be in their infancy (when compared to more established ground-based air defense systems for larger and/or faster threats). Companies currently providing or developing technologies to combat the UAS safety and security problem are certainly worth investigating, however, no company has provided the statistical evidence necessary to support robust detection, identification, and/or neutralization of LSS UAS targets. The results of a market survey are included that highlights potential commercial entities that could contribute some technology that assists in the detection, classification, and neutral- ization of a LSS UAS. This survey found no clear and obvious commercial solution, though recommendations are given for further investigation of several potential systems.

  8. THE PHOTOMETRIC CLASSIFICATION SERVER FOR Pan-STARRS1

    SciTech Connect (OSTI)

    Saglia, R. P.; Bender, R.; Seitz, S.; Senger, R.; Snigula, J.; Phleps, S.; Wilman, D.; Tonry, J. L.; Burgett, W. S.; Chambers, K. C.; Heasley, J. N.; Kaiser, N.; Magnier, E. A.; Morgan, J. S.; Greisel, N.; Bailer-Jones, C. A. L.; Klement, R. J.; Rix, H.-W.; Smith, K.; Green, P. J.; and others

    2012-02-20

    The Pan-STARRS1 survey is obtaining multi-epoch imaging in five bands (g{sub P1} r{sub P1} i{sub P1} z{sub P1} y{sub P1}) over the entire sky north of declination -30 deg. We describe here the implementation of the Photometric Classification Server (PCS) for Pan-STARRS1. PCS will allow the automatic classification of objects into star/galaxy/quasar classes based on colors and the measurement of photometric redshifts for extragalactic objects, and will constrain stellar parameters for stellar objects, working at the catalog level. We present tests of the system based on high signal-to-noise photometry derived from the Medium-Deep Fields of Pan-STARRS1, using available spectroscopic surveys as training and/or verification sets. We show that the Pan-STARRS1 photometry delivers classifications and photometric redshifts as good as the Sloan Digital Sky Survey (SDSS) photometry to the same magnitude limits. In particular, our preliminary results, based on this relatively limited data set down to the SDSS spectroscopic limits, and therefore potentially improvable, show that stars are correctly classified as such in 85% of cases, galaxies in 97%, and QSOs in 84%. False positives are less than 1% for galaxies, Almost-Equal-To 19% for stars, and Almost-Equal-To 28% for QSOs. Moreover, photometric redshifts for 1000 luminous red galaxies up to redshift 0.5 are determined to 2.4% precision (defined as 1.48 Multiplication-Sign Median|z{sub phot} - z{sub spec}|/(1 + z)) with just 0.4% catastrophic outliers and small (-0.5%) residual bias. For bluer galaxies up to the same redshift, the residual bias (on average -0.5%) trend, percentage of catastrophic failures (1.2%), and precision (4.2%) are higher, but still interestingly small for many science applications. Good photometric redshifts (to 5%) can be obtained for at most 60% of the QSOs of the sample. PCS will create a value-added catalog with classifications and photometric redshifts for eventually many millions of sources.

  9. DOE Publishes Petition of CSA Group for Classification as a Nationally...

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

    notice of petition and request for public comments regarding CSA Group for classification as a nationally recognized certification program for small electric motors. 78 FR...

  10. NEW- DOE O 325.2, Position Management and Classification - DOE...

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

    NEW- DOE O 325.2, Position Management and Classification by Website Administrator The order establishes departmental requirements and responsibilities for classifying positions...

  11. Automatic Fault Characterization via Abnormality-Enhanced Classification

    SciTech Connect (OSTI)

    Bronevetsky, G; Laguna, I; de Supinski, B R

    2010-12-20

    Enterprise and high-performance computing systems are growing extremely large and complex, employing hundreds to hundreds of thousands of processors and software/hardware stacks built by many people across many organizations. As the growing scale of these machines increases the frequency of faults, system complexity makes these faults difficult to detect and to diagnose. Current system management techniques, which focus primarily on efficient data access and query mechanisms, require system administrators to examine the behavior of various system services manually. Growing system complexity is making this manual process unmanageable: administrators require more effective management tools that can detect faults and help to identify their root causes. System administrators need timely notification when a fault is manifested that includes the type of fault, the time period in which it occurred and the processor on which it originated. Statistical modeling approaches can accurately characterize system behavior. However, the complex effects of system faults make these tools difficult to apply effectively. This paper investigates the application of classification and clustering algorithms to fault detection and characterization. We show experimentally that naively applying these methods achieves poor accuracy. Further, we design novel techniques that combine classification algorithms with information on the abnormality of application behavior to improve detection and characterization accuracy. Our experiments demonstrate that these techniques can detect and characterize faults with 65% accuracy, compared to just 5% accuracy for naive approaches.

  12. Support Vector Machine algorithm for regression and classification

    Energy Science and Technology Software Center (OSTI)

    2001-08-01

    The software is an implementation of the Support Vector Machine (SVM) algorithm that was invented and developed by Vladimir Vapnik and his co-workers at AT&T Bell Laboratories. The specific implementation reported here is an Active Set method for solving a quadratic optimization problem that forms the major part of any SVM program. The implementation is tuned to specific constraints generated in the SVM learning. Thus, it is more efficient than general-purpose quadratic optimization programs. Amore » decomposition method has been implemented in the software that enables processing large data sets. The size of the learning data is virtually unlimited by the capacity of the computer physical memory. The software is flexible and extensible. Two upper bounds are implemented to regulate the SVM learning for classification, which allow users to adjust the false positive and false negative rates. The software can be used either as a standalone, general-purpose SVM regression or classification program, or be embedded into a larger software system.« less

  13. Pattern classification and associative recall by neural networks

    SciTech Connect (OSTI)

    Chiueh, Tzi-Dar.

    1989-01-01

    The first part of this dissertation discusses a new classifier based on a multilayer feed-forward network architecture. The main idea is to map irregularly-distributed prototypes in a classification problem to codewords that are organized in some way. Then the pattern classification problem is transformed into a threshold decoding problem, which is easily solved using simple hard-limiter neurons. At first the author proposes the new model and introduce two families of good internal representation codes. Then some analyses and software simulation concerning the storage capacity of this new model are done. The results show that the new classifier is much better than the classifier based on the Hopfield model in terms of both the storage capacity and the ability to classify correlated prototypes. A general model for neural network associative memories with a feedback structure is proposed. Many existing neural network associative memories can be expressed as special cases of this general model. Among these models, there is a class of associative memories, called correlation associative memories, that are capable of storing a large number of memory patterns. If the function used in the evolution equation is monotonically nondecreasing, then a correlation associative memory can be proved to be asymptotically stable in both the synchronous and asynchronous updating modes. Of these correlation associative memories, one stands out because of its VLSI implementation feasibility and large storage capacity. This memory uses the exponentiation function in its evolution equation; hence it is called exponential correlation associative memory (ECAM).

  14. A complete electrical hazard classification system and its application

    SciTech Connect (OSTI)

    Gordon, Lloyd B; Cartelli, Laura

    2009-01-01

    The Standard for Electrical Safety in the Workplace, NFPA 70E, and relevant OSHA electrical safety standards evolved to address the hazards of 60-Hz power that are faced primarily by electricians, linemen, and others performing facility and utility work. This leaves a substantial gap in the management of electrical hazards in Research and Development (R&D) and specialized high voltage and high power equipment. Examples include lasers, accelerators, capacitor banks, electroplating systems, induction and dielectric heating systems, etc. Although all such systems are fed by 50/60 Hz alternating current (ac) power, we find substantial use of direct current (dc) electrical energy, and the use of capacitors, inductors, batteries, and radiofrequency (RF) power. The electrical hazards of these forms of electricity and their systems are different than for 50160 Hz power. Over the past 10 years there has been an effort to develop a method of classifying all of the electrical hazards found in all types of R&D and utilization equipment. Examples of the variation of these hazards from NFPA 70E include (a) high voltage can be harmless, if the available current is sufficiently low, (b) low voltage can be harmful if the available current/power is high, (c) high voltage capacitor hazards are unique and include severe reflex action, affects on the heart, and tissue damage, and (d) arc flash hazard analysis for dc and capacitor systems are not provided in existing standards. This work has led to a comprehensive electrical hazard classification system that is based on various research conducted over the past 100 years, on analysis of such systems in R&D, and on decades of experience. Initially, national electrical safety codes required the qualified worker only to know the source voltage to determine the shock hazard. Later, as arc flash hazards were understood, the fault current and clearing time were needed. These items are still insufficient to fully characterize all types of electrical hazards. The new comprehensive electrical hazard classification system uses a combination of voltage, shock current available, fault current available, power, energy, and waveform to classify all forms of electrical hazards. Based on this electrical hazard classification system, many new tools have been developed, including (a) work controls for these hazards, (b) better selection of PPE for R&D work, (c) improved training, and (d) a new Severity Ranking Tool that is used to rank electrical accidents and incidents with various forms of electrical energy.

  15. EPA`s program for risk assessment guidelines: Cancer classification issues

    SciTech Connect (OSTI)

    Wiltse, J.

    1990-12-31

    Issues presented are related to classification of weight of evidence in cancer risk assessments. The focus in this paper is on lines of evidence used in constructing a conclusion about potential human carcinogenicity. The paper also discusses issues that are mistakenly addressed as classification issues but are really part of the risk assessment process. 2 figs.

  16. A Visual Analytics Approach for Correlation, Classification, and Regression Analysis

    SciTech Connect (OSTI)

    Steed, Chad A; SwanII, J. Edward; Fitzpatrick, Patrick J.; Jankun-Kelly, T.J.

    2012-02-01

    New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today's increasing complex, multivariate data sets. In this paper, a novel visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that addresses the challenges of today's data by combining automated statistical analytics with a highly interactive parallel coordinates based canvas. In addition to several intuitive interaction capabilities, this framework offers a rich set of graphical statistical indicators, interactive regression analysis, visual correlation mining, automated axis arrangements and filtering, and data classification techniques. The current work provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

  17. Development of characterization protocol for mixed liquid radioactive waste classification

    SciTech Connect (OSTI)

    Zakaria, Norasalwa; Wafa, Syed Asraf; Wo, Yii Mei; Mahat, Sarimah

    2015-04-29

    Mixed liquid organic waste generated from health-care and research activities containing tritium, carbon-14, and other radionuclides posed specific challenges in its management. Often, these wastes become legacy waste in many nuclear facilities and being considered as problematic waste. One of the most important recommendations made by IAEA is to perform multistage processes aiming at declassification of the waste. At this moment, approximately 3000 bottles of mixed liquid waste, with estimated volume of 6000 litres are currently stored at the National Radioactive Waste Management Centre, Malaysia and some have been stored for more than 25 years. The aim of this study is to develop a characterization protocol towards reclassification of these wastes. The characterization protocol entails waste identification, waste screening and segregation, and analytical radionuclides profiling using various analytical procedures including gross alpha/ gross beta, gamma spectrometry, and LSC method. The results obtained from the characterization protocol are used to establish criteria for speedy classification of the waste.

  18. Fact #623: May 17, 2010 Classification Changes in the CAFE Standards |

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

    Department of Energy 3: May 17, 2010 Classification Changes in the CAFE Standards Fact #623: May 17, 2010 Classification Changes in the CAFE Standards Beginning with model year (MY) 2011, the classification of cars or light trucks has changed for the purposes of the Corporate Average Fuel Economy (CAFE) Standards. Two-wheel-drive (2wd) sport utility vehicles of 6,000 pounds or less gross vehicle weight rating (GVWR) will no longer be classified as light trucks, though the 4wd models of these

  19. Classification of generalized quantum statistics associated with the exceptional Lie (super)algebras

    SciTech Connect (OSTI)

    Stoilova, N. I.; Jeugt, J. van der

    2007-04-15

    Generalized quantum statistics (GQS) associated with a Lie algebra or Lie superalgebra extends the notion of para-Bose or para-Fermi statistics. Such GQS have been classified for all classical simple Lie algebras and basic classical Lie superalgebras. In the current paper we finalize this classification for all exceptional Lie algebras and superalgebras. Since the definition of GQS is closely related to a certain Z grading of the Lie (super)algebra G, our classification reproduces some known Z gradings of exceptional Lie algebras. For exceptional Lie superalgebras such a classification of Z gradings has not been given before.

  20. Developmental defects in zebrafish for classification of EGF pathway inhibitors

    SciTech Connect (OSTI)

    Pruvot, Benoist; Cur, Yoann; Djiotsa, Joachim; Voncken, Audrey; Muller, Marc

    2014-01-15

    One of the major challenges when testing drug candidates targeted at a specific pathway in whole animals is the discrimination between specific effects and unwanted, off-target effects. Here we used the zebrafish to define several developmental defects caused by impairment of Egf signaling, a major pathway of interest in tumor biology. We inactivated Egf signaling by genetically blocking Egf expression or using specific inhibitors of the Egf receptor function. We show that the combined occurrence of defects in cartilage formation, disturbance of blood flow in the trunk and a decrease of myelin basic protein expression represent good indicators for impairment of Egf signaling. Finally, we present a classification of known tyrosine kinase inhibitors according to their specificity for the Egf pathway. In conclusion, we show that developmental indicators can help to discriminate between specific effects on the target pathway from off-target effects in molecularly targeted drug screening experiments in whole animal systems. - Highlights: We analyze the functions of Egf signaling on zebrafish development. Genetic blocking of Egf expression causes cartilage, myelin and circulatory defects. Chemical inhibition of Egf receptor function causes similar defects. Developmental defects can reveal the specificity of Egf pathway inhibitors.

  1. System diagnostics using qualitative analysis and component functional classification

    DOE Patents [OSTI]

    Reifman, J.; Wei, T.Y.C.

    1993-11-23

    A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system. 5 figures.

  2. System diagnostics using qualitative analysis and component functional classification

    DOE Patents [OSTI]

    Reifman, Jaques (Lisle, IL); Wei, Thomas Y. C. (Downers Grove, IL)

    1993-01-01

    A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system.

  3. Historical literature review on waste classification and categorization

    SciTech Connect (OSTI)

    Croff, A.G.; Richmond, A.A.; Williams, J.P.

    1995-03-01

    The Staff of the Waste Management Document Library (WMDL), in cooperation with Allen Croff have been requested to provide information support for a historical search concerning waste categorization/classification. This bibliography has been compiled under the sponsorship of Oak Ridge National Laboratory`s Chemical Technology Division to help in Allen`s ongoing committee work with the NRC/NRCP. After examining the search, Allen Croff saw the value of the search being published. Permission was sought from the database providers to allow limited publication (i.e. 20--50 copies) of the search for internal distribution at the Oak Ridge National Laboratory and for Allen Croff`s associated committee. Citations from the database providers who did not grant legal permission for their material to be published have been omitted from the literature review. Some of the longer citations have been included in an abbreviated form in the search to allow the format of the published document to be shortened from approximately 1,400 pages. The bibliography contains 372 citations.

  4. Deep Spatiotemporal Feature Learning with Application to Image Classification

    SciTech Connect (OSTI)

    Karnowski, Thomas Paul; Arel, Itamar; Rose, Derek C

    2010-01-01

    Deep machine learning is an emerging framework for dealing with complex high-dimensionality data in a hierarchical fashion which draws some inspiration from biological sources. Despite the notable progress made in the field, there remains a need for an architecture that can represent temporal information with the same ease that spatial information is discovered. In this work, we present new results using a recently introduced deep learning architecture called Deep Spatio-Temporal Inference Network (DeSTIN). DeSTIN is a discriminative deep learning architecture that combines concepts from unsupervised learning for dynamic pattern representation together with Bayesian inference. In DeSTIN the spatiotemporal dependencies that exist within the observations are modeled inherently in an unguided manner. Each node models the inputs by means of clustering and simple dynamics modeling while it constructs a belief state over the distribution of sequences using Bayesian inference. We demonstrate that information from the different layers of this hierarchical system can be extracted and utilized for the purpose of pattern classification. Earlier simulation results indicated that the framework is highly promising, consequently in this work we expand DeSTIN to a popular problem, the MNIST data set of handwritten digits. The system as a preprocessor to a neural network achieves a recognition accuracy of 97.98% on this data set. We further show related experimental results pertaining to automatic cluster adaptation and termination.

  5. Classification and storage of wastewater from floor finish removal operations

    SciTech Connect (OSTI)

    Hunt, C.E.

    1996-05-01

    This study evaluates the wastewater generated from hard surface floor finish removal operations at Lawrence Livermore Laboratory in order to determine if this wastewater is a hazardous waste, either by statistical evaluation, or other measurable regulatory guidelines established in California Regulations. This research also comparatively evaluates the 55 gallon drum and other portable tanks, all less than 1,000 gallons in size in order to determine which is most effective for the management of this waste stream at Lawrence Livermore Laboratory. The statistical methods in SW-846 were found to be scientifically questionable in their application to hazardous waste determination. In this statistical evaluation, the different data transformations discussed in the regulatory guidance document were applied along with the log transformation to the population of 18 samples from 55 gallon drums. Although this statistical evaluation proved awkward in its application, once the data is collected and organized on a spreadsheet this statistical analysis can be an effective tool which can aid the environmental manager in the hazardous waste classification process.

  6. Classification of subsurface objects using singular values derived from signal frames

    DOE Patents [OSTI]

    Chambers, David H; Paglieroni, David W

    2014-05-06

    The classification system represents a detected object with a feature vector derived from the return signals acquired by an array of N transceivers operating in multistatic mode. The classification system generates the feature vector by transforming the real-valued return signals into complex-valued spectra, using, for example, a Fast Fourier Transform. The classification system then generates a feature vector of singular values for each user-designated spectral sub-band by applying a singular value decomposition (SVD) to the N.times.N square complex-valued matrix formed from sub-band samples associated with all possible transmitter-receiver pairs. The resulting feature vector of singular values may be transformed into a feature vector of singular value likelihoods and then subjected to a multi-category linear or neural network classifier for object classification.

  7. Early F-type stars - refined classification, confrontation with Stromgren photometry, and the effects of rotation

    SciTech Connect (OSTI)

    Gray, R.O.; Garrison, R.F.

    1989-02-01

    The classification for early F-type stars in the MK spectral classification system presented by Gray and Garrison (1987) is refined. The effect of rotation on spectral classification and ubvy-beta photometry of early F-type stars is examined. It is found that the classical luminosity criterion, the 4417 A/4481 A ratio gives inconsistent results. It is shown that most of the stars in the Delta Delphini class of metallic-line stars are either normal or are indistinguishable from proto-Am stars. It is suggested that the designation Delta Delphini should be dropped. The classifications are compared with Stromgren photometry. The effects of rotation on the delta-c sub 1 index in the early-F field dwarfs is demonstrated. 55 references.

  8. Stream Classification Tool User Manual: For Use in Applications in Hydropower-Related Evironmental Mitigation

    SciTech Connect (OSTI)

    McManamay, Ryan A.; Troia, Matthew J.; DeRolph, Christopher R.; Samu, Nicole M.

    2016-01-01

    Stream classifications are an inventory of different types of streams. Classifications help us explore similarities and differences among different types of streams, make inferences regarding stream ecosystem behavior, and communicate the complexities of ecosystems. We developed a nested, layered, and spatially contiguous stream classification to characterize the biophysical settings of stream reaches within the Eastern United States (~ 900,000 reaches). The classification is composed of five natural characteristics (hydrology, temperature, size, confinement, and substrate) along with several disturbance regime layers, and each was selected because of their relevance to hydropower mitigation. We developed the classification at the stream reach level using the National Hydrography Dataset Plus Version 1 (1:100k scale). The stream classification is useful to environmental mitigation for hydropower dams in multiple ways. First, it creates efficiency in the regulatory process by creating an objective and data-rich means to address meaningful mitigation actions. Secondly, the SCT addresses data gaps as it quickly provides an inventory of hydrology, temperature, morphology, and ecological communities for the immediate project area, but also surrounding streams. This includes identifying potential reference streams as those that are proximate to the hydropower facility and fall within the same class. These streams can potentially be used to identify ideal environmental conditions or identify desired ecological communities. In doing so, the stream provides some context for how streams may function, respond to dam regulation, and an overview of specific mitigation needs. Herein, we describe the methodology in developing each stream classification layer and provide a tutorial to guide applications of the classification (and associated data) in regulatory settings, such as hydropower (re)licensing.

  9. Protein-Folding Landscapes in Multi-Chain Systems Major Classification: Biological Sciences

    Office of Scientific and Technical Information (OSTI)

    Protein-Folding Landscapes in Multi-Chain Systems Major Classification: Biological Sciences Minor Classification: Biophysics Authors: Troy Cellmer 1 , Dusan Bratko 1,2 , John M. Prausnitz 1,3 , and Harvey Blanch 1,* 1 Department of Chemical Engineering, University of California, Berkeley, CA 94720 2 Department of Chemistry, Virginia Commonwealth University, Richmond, VA 23284 3 Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 * corresponding author Tel:

  10. AFREET: HUMAN-INSPIRED SPATIO-SPECTRAL FEATURE CONSTRUCTION FOR IMAGE CLASSIFICATION WITH SUPPORT VECTOR MACHINES

    SciTech Connect (OSTI)

    S. PERKINS; N. HARVEY

    2001-02-01

    The authors examine the task of pixel-by-pixel classification of the multispectral and grayscale images typically found in remote-sensing and medical applications. Simple machine learning techniques have long been applied to remote-sensed image classification, but almost always using purely spectral information about each pixel. Humans can often outperform these systems, and make extensive use of spatial context to make classification decisions. They present AFREET: an SVM-based learning system which attempts to automatically construct and refine spatio-spectral features in a somewhat human-inspired fashion. Comparisons with traditionally used machine learning techniques show that AFREET achieves significantly higher performance. The use of spatial context is particularly useful for medical imagery, where multispectral images are still rare.

  11. A modified version of the geomechanics classification for entry design in underground coal mines

    SciTech Connect (OSTI)

    Newman, D.A.; Bieniawski, Z.T.

    1985-01-01

    The Geomechanics Classification was modified for entry and roof support design in underground room-and-pillar coal mines. Adjustment multipliers were introduced to incorporate the influence of strata weatherability, high horizontal stresses, and the roof support reinforcement factor into the existing classification system. Sixty-two case histories of both standing and fallen mine roof were collected from two mines in the northern Appalachian coalfield. Twenty-seven engineering and geologic parameters were recorded for each case. A partial correlation analysis was carried out on the cases to establish which parameters have a significant impact upon the supported stand-up time of coal mine roof. Survival analysis, a statistical technique used in medical research to assess the effect of a drug or treatment on a patient's life expectancy, was conducted together with stepwise multiple regression to derive values for the adjustment multipliers. A practical example is included to illustrate the application of the modified Geomechanics Classification to underground coal mine design.

  12. Net-Zero Energy Buildings: A Classification System Based on Renewable Energy Supply Options

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

    Net-Zero Energy Buildings: A Classification System Based on Renewable Energy Supply Options Shanti Pless and Paul Torcellini Technical Report NREL/TP-550-44586 June 2010 Technical Report Net-Zero Energy Buildings: NREL/TP-550-44586 A Classification System Based June 2010 on Renewable Energy Supply Options Shanti Pless and Paul Torcellini Prepared under Task Nos. BEC7.1210, BEC7.1123 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov

  13. The Council of Industrial Boiler Owners special project on non-utility fossil fuel ash classification

    SciTech Connect (OSTI)

    Svendsen, R.L.

    1996-12-31

    Information is outlined on the Council of Industrial Boiler Owners (CIBO) special project on non-utility fossil fuel ash classification. Data are presented on; current (1996) regulatory status of fossil-fuel combustion wastes; FBC technology identified for further study; CIBO special project methods; Bevill amendment study factors; data collection; and CIBO special project status.

  14. Next Generation Nuclear Plant Structures, Systems, and Components Safety Classification White Paper

    SciTech Connect (OSTI)

    Pete Jordan

    2010-09-01

    This white paper outlines the relevant regulatory policy and guidance for a risk-informed approach for establishing the safety classification of Structures, Systems, and Components (SSCs) for the Next Generation Nuclear Plant and sets forth certain facts for review and discussion in order facilitate an effective submittal leading to an NGNP Combined Operating License application under 10 CFR 52.

  15. Land cover classification in multispectral imagery using clustering of sparse approximations over learned feature dictionaries

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Moody, Daniela I.; Brumby, Steven P.; Rowland, Joel C.; Altmann, Garrett L.

    2014-12-09

    We present results from an ongoing effort to extend neuromimetic machine vision algorithms to multispectral data using adaptive signal processing combined with compressive sensing and machine learning techniques. Our goal is to develop a robust classification methodology that will allow for automated discretization of the landscape into distinct units based on attributes such as vegetation, surface hydrological properties, and topographic/geomorphic characteristics. We use a Hebbian learning rule to build spectral-textural dictionaries that are tailored for classification. We learn our dictionaries from millions of overlapping multispectral image patches and then use a pursuit search to generate classification features. Land cover labelsmore » are automatically generated using unsupervised clustering of sparse approximations (CoSA). We demonstrate our method on multispectral WorldView-2 data from a coastal plain ecosystem in Barrow, Alaska. We explore learning from both raw multispectral imagery and normalized band difference indices. We explore a quantitative metric to evaluate the spectral properties of the clusters in order to potentially aid in assigning land cover categories to the cluster labels. In this study, our results suggest CoSA is a promising approach to unsupervised land cover classification in high-resolution satellite imagery.« less

  16. NEW - DOE O 325.2 Chg 1 (Admin Chg), Position Management and Classification

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    The order establishes departmental requirements and responsibilities for classifying positions using the general schedule (GS) and federal wage system (FWS) standards and to develop and administer a sound position management and classification program. Cancels DOE O 325.2, dated 4-1-15.

  17. Using Process Knowledge to Manage Disposal Classification of Ion-Exchange Resin - 13566

    SciTech Connect (OSTI)

    Bohnsack, Jonathan N.; James, David W.

    2013-07-01

    It has been previously shown by EPRI [1] that Class B and C resins represent a small portion by volume of the overall generation of radioactively contaminated resins. In fact, if all of the resins were taken together the overall classification would meet Class A disposal requirements. Lowering the classification of the ion exchange resins as they are presented for disposal provides a path for minimizing the amount of waste stored. Currently there are commercial options for blending wastes from various generators for Class A disposal in development. The NRC may have by this time introduced changes and clarifications to the Branch Technical Position (BTP) on Concentration Averaging and Encapsulation [2] that may ultimately add more flexibility to what can be done at the plant level. The BTP has always maintained that mixtures of resins that are combined for ALARA purposes or operational efficiency can be classified on the basis of the mixture. This is a point often misinterpreted and misapplied. This paper will address options that can be exercised by the generator that can limit B and C waste generation by more rigorous tracking of generation and taking advantage of the normal mix of wastes. This can be achieved through the monitoring of reactor coolant chemistry data and coupled with our knowledge of radionuclide production mechanisms. This knowledge can be used to determine the overall accumulation of activity in ion-exchange resins and provides a 'real-time' waste classification determination of the resin and thereby provide a mechanism to reduce the production of waste that exceeds class A limits. It should be noted that this alternative approach, although rarely used in a nuclear power plant setting, is acknowledged in the original BTP on classification [3] as a viable option for determining radionuclide inventories for classification of waste. Also included is a discussion of an examination performed at the Byron plant to estimate radionuclide content in the final waste stream from upstream sampling of reactor coolant and fuel pool water. (authors)

  18. Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling

    SciTech Connect (OSTI)

    Patton, Robert M; Beaver, Justin M; Potok, Thomas E

    2011-01-01

    From a management perspective, understanding the information that exists on a network and how it is distributed provides a critical advantage. This work explores the use of topic modeling as an approach to automatically determine the classes of information that exist on an organization's network, and then use the resultant topics as centroid vectors for the classification of individual documents in order to understand the distribution of information topics across the enterprise network. The approach is tested using the 20 Newsgroups dataset.

  19. Building America Top Innovations Hall of Fame Profile … Vapor Retarder Classification

    Energy Savers [EERE]

    6 the IRC has permitted Class III vapor retarders like latex paint (see list above) in all climate zones under certain conditions thanks to research by Building America teams. Air-tight and well-insulated homes have little or no tolerance for drying if they get wet; moisture control is critical. That's why Building America research establishing vapor retarder classifications and their appropriate applications has been instrumental in the market transformation to high-performance homes. As

  20. On the construction of a new stellar classification template library for the LAMOST spectral analysis pipeline

    SciTech Connect (OSTI)

    Wei, Peng; Luo, Ali; Li, Yinbi; Tu, Liangping; Wang, Fengfei; Zhang, Jiannan; Chen, Xiaoyan; Hou, Wen; Kong, Xiao; Wu, Yue; Zuo, Fang; Yi, Zhenping; Zhao, Yongheng; Chen, Jianjun; Du, Bing; Guo, Yanxin; Ren, Juanjuan; Pan, Jingchang; Jiang, Bin; Liu, Jie E-mail: weipeng@nao.cas.cn; and others

    2014-05-01

    The LAMOST spectral analysis pipeline, called the 1D pipeline, aims to classify and measure the spectra observed in the LAMOST survey. Through this pipeline, the observed stellar spectra are classified into different subclasses by matching with template spectra. Consequently, the performance of the stellar classification greatly depends on the quality of the template spectra. In this paper, we construct a new LAMOST stellar spectral classification template library, which is supposed to improve the precision and credibility of the present LAMOST stellar classification. About one million spectra are selected from LAMOST Data Release One to construct the new stellar templates, and they are gathered in 233 groups by two criteria: (1) pseudo g r colors obtained by convolving the LAMOST spectra with the Sloan Digital Sky Survey ugriz filter response curve, and (2) the stellar subclass given by the LAMOST pipeline. In each group, the template spectra are constructed using three steps. (1) Outliers are excluded using the Local Outlier Probabilities algorithm, and then the principal component analysis method is applied to the remaining spectra of each group. About 5% of the one million spectra are ruled out as outliers. (2) All remaining spectra are reconstructed using the first principal components of each group. (3) The weighted average spectrum is used as the template spectrum in each group. Using the previous 3 steps, we initially obtain 216 stellar template spectra. We visually inspect all template spectra, and 29 spectra are abandoned due to low spectral quality. Furthermore, the MK classification for the remaining 187 template spectra is manually determined by comparing with 3 template libraries. Meanwhile, 10 template spectra whose subclass is difficult to determine are abandoned. Finally, we obtain a new template library containing 183 LAMOST template spectra with 61 different MK classes by combining it with the current library.

  1. Groenewold-Moyal product, ?*-cohomology, and classification of translation-invariant non-commutative structures

    SciTech Connect (OSTI)

    Varshovi, Amir Abbass

    2013-07-15

    The theory of ?*-cohomology is studied thoroughly and it is shown that in each cohomology class there exists a unique 2-cocycle, the harmonic form, which generates a particular Groenewold-Moyal star product. This leads to an algebraic classification of translation-invariant non-commutative structures and shows that any general translation-invariant non-commutative quantum field theory is physically equivalent to a Groenewold-Moyal non-commutative quantum field theory.

  2. Context-based automated defect classification system using multiple morphological masks

    DOE Patents [OSTI]

    Gleason, Shaun S. (Knoxville, TN); Hunt, Martin A. (Knoxville, TN); Sari-Sarraf, Hamed (Lubbock, TX)

    2002-01-01

    Automatic detection of defects during the fabrication of semiconductor wafers is largely automated, but the classification of those defects is still performed manually by technicians. This invention includes novel digital image analysis techniques that generate unique feature vector descriptions of semiconductor defects as well as classifiers that use these descriptions to automatically categorize the defects into one of a set of pre-defined classes. Feature extraction techniques based on multiple-focus images, multiple-defect mask images, and segmented semiconductor wafer images are used to create unique feature-based descriptions of the semiconductor defects. These feature-based defect descriptions are subsequently classified by a defect classifier into categories that depend on defect characteristics and defect contextual information, that is, the semiconductor process layer(s) with which the defect comes in contact. At the heart of the system is a knowledge database that stores and distributes historical semiconductor wafer and defect data to guide the feature extraction and classification processes. In summary, this invention takes as its input a set of images containing semiconductor defect information, and generates as its output a classification for the defect that describes not only the defect itself, but also the location of that defect with respect to the semiconductor process layers.

  3. Performance analysis of distributed applications using automatic classification of communication inefficiencies

    DOE Patents [OSTI]

    Vetter, Jeffrey S.

    2005-02-01

    The method and system described herein presents a technique for performance analysis that helps users understand the communication behavior of their message passing applications. The method and system described herein may automatically classifies individual communication operations and reveal the cause of communication inefficiencies in the application. This classification allows the developer to quickly focus on the culprits of truly inefficient behavior, rather than manually foraging through massive amounts of performance data. Specifically, the method and system described herein trace the message operations of Message Passing Interface (MPI) applications and then classify each individual communication event using a supervised learning technique: decision tree classification. The decision tree may be trained using microbenchmarks that demonstrate both efficient and inefficient communication. Since the method and system described herein adapt to the target system's configuration through these microbenchmarks, they simultaneously automate the performance analysis process and improve classification accuracy. The method and system described herein may improve the accuracy of performance analysis and dramatically reduce the amount of data that users must encounter.

  4. Resolving Radiological Classification and Release Issues for Many DOE Solid Wastes and Salvageable Materials

    SciTech Connect (OSTI)

    Hochel, R.C.

    1999-06-14

    The cost effective radiological classification and disposal of solid materials with potential volume contamination, in accordance with applicable U.S. Department of Energy (DOE) Orders, suffers from an inability to unambiguously distinguish among transuranic waste, low-level waste, and unconditional-release materials. Depending on the classification, disposal costs can vary by a hundred-fold. But in many cases, the issues can be easily resolved by a combination of process information, some simple measurements, and calculational predictions from a computer model for radiation shielding.The proper classification and disposal of many solid wastes requires a measurement regime that is able to show compliance with a variety of institutional and regulatory contamination limits. Although this is not possible for all solid wastes, there are many that do lend themselves to such measures. Several examples are discussed which demonstrate the possibilities, including one which was successfully applied to bulk contamination.The only barriers to such broader uses are the slow-to-change institutional perceptions and procedures. For many issues and materials, the measurement tools are available; they need only be applied.

  5. Recursive Partitioning Analysis for New Classification of Patients With Esophageal Cancer Treated by Chemoradiotherapy

    SciTech Connect (OSTI)

    Nomura, Motoo; Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya; Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya ; Shitara, Kohei; Kodaira, Takeshi; Kondoh, Chihiro; Takahari, Daisuke; Ura, Takashi; Kojima, Hiroyuki; Kamata, Minoru; Muro, Kei; Sawada, Satoshi

    2012-11-01

    Background: The 7th edition of the American Joint Committee on Cancer staging system does not include lymph node size in the guidelines for staging patients with esophageal cancer. The objectives of this study were to determine the prognostic impact of the maximum metastatic lymph node diameter (ND) on survival and to develop and validate a new staging system for patients with esophageal squamous cell cancer who were treated with definitive chemoradiotherapy (CRT). Methods: Information on 402 patients with esophageal cancer undergoing CRT at two institutions was reviewed. Univariate and multivariate analyses of data from one institution were used to assess the impact of clinical factors on survival, and recursive partitioning analysis was performed to develop the new staging classification. To assess its clinical utility, the new classification was validated using data from the second institution. Results: By multivariate analysis, gender, T, N, and ND stages were independently and significantly associated with survival (p < 0.05). The resulting new staging classification was based on the T and ND. The four new stages led to good separation of survival curves in both the developmental and validation datasets (p < 0.05). Conclusions: Our results showed that lymph node size is a strong independent prognostic factor and that the new staging system, which incorporated lymph node size, provided good prognostic power, and discriminated effectively for patients with esophageal cancer undergoing CRT.

  6. YOUNG PLANETARY NEBULAE: HUBBLE SPACE TELESCOPE IMAGING AND A NEW MORPHOLOGICAL CLASSIFICATION SYSTEM

    SciTech Connect (OSTI)

    Sahai, Raghvendra; Villar, Gregory G.; Morris, Mark R.

    2011-04-15

    Using Hubble Space Telescope images of 119 young planetary nebulae (PNs), most of which have not previously been published, we have devised a comprehensive morphological classification system for these objects. This system generalizes a recently devised system for pre-planetary nebulae, which are the immediate progenitors of PNs. Unlike previous classification studies, we have focused primarily on young PNs rather than all PNs, because the former best show the influences or symmetries imposed on them by the dominant physical processes operating at the first and primary stage of the shaping process. Older PNs develop instabilities, interact with the ambient interstellar medium, and are subject to the passage of photoionization fronts, all of which obscure the underlying symmetries and geometries imposed early on. Our classification system is designed to suffer minimal prejudice regarding the underlying physical causes of the different shapes and structures seen in our PN sample, however, in many cases, physical causes are readily suggested by the geometry, along with the kinematics that have been measured in some systems. Secondary characteristics in our system, such as ansae, indicate the impact of a jet upon a slower-moving, prior wind; a waist is the signature of a strong equatorial concentration of matter, whether it be outflowing or in a bound Keplerian disk, and point symmetry indicates a secular trend, presumably precession, in the orientation of the central driver of a rapid, collimated outflow.

  7. DOE Publishes Petition of CSA Group for Classification as a Nationally Recognized Certification Program for Small Electric Motors

    Broader source: Energy.gov [DOE]

    The Department of Energy has published a Federal Register notice of petition and request for public comments regarding CSA Group for classification as a nationally recognized certification program for small electric motors.

  8. Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Year to Date NAICS Code April - June 2014 January - March 2014

  9. Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 NAICS Code June 30, 2014 March 31, 2014 June 30, 2013 Percent Change (June

  10. Momotombo Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    World Geothermal Power Generation 2001-2005. Proceedings of World Geothermal Congress; Turkey: World Geothermal Congress. Tom Harding-Newman, James Morrow, Subir Sanyal,...

  11. Understanding Classification

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

    d e e r r s s t t a a n n d d i i n n g g C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f C C l l a a s s s s i i f f i i c c a a t t i i o...

  12. Understanding Classification

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

    U U n n d d e e r r s s t t a a n n d d i i n n g g C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f H H e e a a l l t t h h , , S S a a f f e e t t y y a a n n d d S S e e c c u u r r i i t t y y U U . . S S . . D D e e p p a a r r t t m m e e n n t t o o f f E E n n e e r r g g y y J J u u n n e e 2 2 0 0 1 1 2 2 1 Now that you have your clearance, you are likely to be

  13. Gradient Analysis and Classification of Carolina Bay Vegetation: A Framework for Bay Wetlands Conservation and Restoration

    SciTech Connect (OSTI)

    Diane De Steven,Ph.D.; Maureen Tone,PhD.

    1997-10-01

    This report address four project objectives: (1) Gradient model of Carolina bay vegetation on the SRS--The authors use ordination analyses to identify environmental and landscape factors that are correlated with vegetation composition. Significant factors can provide a framework for site-based conservation of existing diversity, and they may also be useful site predictors for potential vegetation in bay restorations. (2) Regional analysis of Carolina bay vegetation diversity--They expand the ordination analyses to assess the degree to which SRS bays encompass the range of vegetation diversity found in the regional landscape of South Carolina's western Upper Coastal Plain. Such comparisons can indicate floristic status relative to regional potentials and identify missing species or community elements that might be re-introduced or restored. (3) Classification of vegetation communities in Upper Coastal Plain bays--They use cluster analysis to identify plant community-types at the regional scale, and explore how this classification may be functional with respect to significant environmental and landscape factors. An environmentally-based classification at the whole-bay level can provide a system of templates for managing bays as individual units and for restoring bays to desired plant communities. (4) Qualitative model for bay vegetation dynamics--They analyze present-day vegetation in relation to historic land uses and disturbances. The distinctive history of SRS bays provides the possibility of assessing pathways of post-disturbance succession. They attempt to develop a coarse-scale model of vegetation shifts in response to changing site factors; such qualitative models can provide a basis for suggesting management interventions that may be needed to maintain desired vegetation in protected or restored bays.

  14. Net-Zero Energy Buildings: A Classification System Based on Renewable Energy Supply Options

    SciTech Connect (OSTI)

    Pless, S.; Torcellini, P.

    2010-06-01

    A net-zero energy building (NZEB) is a residential or commercial building with greatly reduced energy needs. In such a building, efficiency gains have been made such that the balance of energy needs can be supplied with renewable energy technologies. Past work has developed a common NZEB definition system, consisting of four well-documented definitions, to improve the understanding of what net-zero energy means. For this paper, we created a classification system for NZEBs based on the renewable sources a building uses.

  15. OPTICAL CLASSIFICATION OF GAMMA-RAY BURSTS IN THE SWIFT ERA

    SciTech Connect (OSTI)

    Van der Horst, A. J.; Kouveliotou, C.; Gehrels, N.; Cannizzo, J. K.; Rol, E.; Wijers, R. A. M. J.; Racusin, J.; Burrows, D. N.

    2009-07-10

    We propose a new method for the classification of optically dark gamma-ray bursts (GRBs), based on the X-ray and optical-to-X-ray spectral indices of GRB afterglows, and utilizing the spectral capabilities of Swift. This method depends less on model assumptions than previous methods, and can be used as a quick diagnostic tool to identify optically sub-luminous bursts. With this method we can also find GRBs that are extremely bright at optical wavelengths. We show that the previously suggested correlation between the optical darkness and the X-ray/gamma-ray brightness is merely an observational selection effect.

  16. Hazard Classification of the Remote Handled Low-Level Waste Disposal Facility

    SciTech Connect (OSTI)

    Boyd D. Christensen

    2012-05-01

    The Battelle Energy Alliance (BEA) at the Idaho National Laboratory (INL) is constructing a new facility to replace remote-handled low-level radioactive waste disposal capability for INL and Naval Reactors Facility operations. Current disposal capability at the Radioactive Waste Management Complex (RWMC) will continue until the facility is full or closed for remediation (estimated at approximately fiscal year 2015). Development of a new onsite disposal facility is the highest ranked alternative and will provide RH-LLW disposal capability and will ensure continuity of operations that generate RH-LLW for the foreseeable future. As a part of establishing a safety basis for facility operations, the facility will be categorized according to DOE-STD-1027-92. This classification is important in determining the scope of analyses performed in the safety basis and will also dictate operational requirements of the completed facility. This paper discusses the issues affecting hazard classification in this nuclear facility and impacts of the final hazard categorization.

  17. High Throughput Ambient Mass Spectrometric Approach to Species Identification and Classification from Chemical Fingerprint Signatures

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Musah, Rabi A.; Espinoza, Edgard O.; Cody, Robert B.; Lesiak, Ashton D.; Christensen, Earl D.; Moore, Hannah E.; Maleknia, Simin; Drijhout, Falko P.

    2015-07-09

    A high throughput method for species identification and classification through chemometric processing of direct analysis in real time (DART) mass spectrometry-derived fingerprint signatures has been developed. The method entails introduction of samples to the open air space between the DART ion source and the mass spectrometer inlet, with the entire observed mass spectral fingerprint subjected to unsupervised hierarchical clustering processing. Moreover, a range of both polar and non-polar chemotypes are instantaneously detected. The result is identification and species level classification based on the entire DART-MS spectrum. In this paper, we illustrate how the method can be used to: (1) distinguishmore » between endangered woods regulated by the Convention for the International Trade of Endangered Flora and Fauna (CITES) treaty; (2) assess the origin and by extension the properties of biodiesel feedstocks; (3) determine insect species from analysis of puparial casings; (4) distinguish between psychoactive plants products; and (5) differentiate between Eucalyptus species. An advantage of the hierarchical clustering approach to processing of the DART-MS derived fingerprint is that it shows both similarities and differences between species based on their chemotypes. Furthermore, full knowledge of the identities of the constituents contained within the small molecule profile of analyzed samples is not required.« less

  18. GIS Framework for Large River Geomorphic Classification to Aid in the Evaluation of Flow-Ecology Relationships

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

    2296 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 GIS Framework for Large River Geomorphic Classification to Aid in the Evaluation of Flow-Ecology Relationships CR Vernon EV Arntzen MC Richmond RA McManamay 1 TP Hanrahan CL Rakowski February 2013 PNNL-22296 GIS Framework for Large River Geomorphic Classification to Aid in the Evaluation of Flow-Ecology Relationships CR Vernon EV Arntzen MC Richmond RA McManamay 1 TP Hanrahan CL Rakwoski February 2013 Prepared for

  19. Video compression of coronary angiograms based on discrete wavelet transform with block classification

    SciTech Connect (OSTI)

    Ho, B.K.T.; Tsai, M.J.; Wei, J.; Ma, M.; Saipetch, P.

    1996-12-01

    A new method of video compression for angiographic images has been developed to achieve high compression ratio ({approximately}20:1) while eliminating block artifacts which leads to loss of diagnostic accuracy. This method adopts motion picture experts group`s (MPEG`s) motion compensated prediction to take advantage of frame to frame correlation. However, in contrast to MPEG, the error images arising from mismatches in the motion estimation are encoded by discrete wavelet transform (DWT) rather than block discrete cosine transform (DCT). Furthermore, the authors developed a classification scheme which label each block in an image as intra, error, or background type and encode it accordingly. This hybrid coding can significantly improve the compression efficiency in certain cases. This method can be generalized for any dynamic image sequences applications sensitive to block artifacts.

  20. Language Classification using N-grams Accelerated by FPGA-based Bloom Filters

    SciTech Connect (OSTI)

    Jacob, A; Gokhale, M

    2007-09-13

    N-Gram (n-character sequences in text documents) counting is a well-established technique used in classifying the language of text in a document. In this paper, n-gram processing is accelerated through the use of reconfigurable hardware on the XtremeData XD1000 system. Our design employs parallelism at multiple levels, with parallel Bloom Filters accessing on-chip RAM, parallel language classifiers, and parallel document processing. In contrast to another hardware implementation (HAIL algorithm) that uses off-chip SRAM for lookup, our highly scalable implementation uses only on-chip memory blocks. Our implementation of end-to-end language classification runs at 85x comparable software and 1.45x the competing hardware design.

  1. Brownian motors in the low-energy approximation: Classification and properties

    SciTech Connect (OSTI)

    Rozenbaum, V. M.

    2010-04-15

    We classify Brownian motors based on the expansion of their velocity in terms of the reciprocal friction coefficient. The two main classes of motors (with dichotomic fluctuations in homogeneous force and periodic potential energy) are characterized by different analytical dependences of their mean velocity on the spatial and temporal asymmetry coefficients and by different adiabatic limits. The competition between the spatial and temporal asymmetries gives rise to stopping points. The transition through these points can be achieved by varying the asymmetry coefficients, temperature, and other motor parameters, which can be used, for example, for nanoparticle segregation. The proposed classification separates out a new type of motors based on synchronous fluctuations in symmetric potential and applied homogeneous force. As an example of this type of motors, we consider a near-surface motor whose two-dimensional motion (parallel and perpendicular to the substrate plane) results from fluctuations in external force inclined to the surface.

  2. ISOLATING CONTENT AND METADATA FROM WEBLOGS USING CLASSIFICATION AND RULE-BASED APPROACHES

    SciTech Connect (OSTI)

    Marshall, Eric J.; Bell, Eric B.

    2011-09-04

    The emergence and increasing prevalence of social media, such as internet forums, weblogs (blogs), wikis, etc., has created a new opportunity to measure public opinion, attitude, and social structures. A major challenge in leveraging this information is isolating the content and metadata in weblogs, as there is no standard, universally supported, machine-readable format for presenting this information. We present two algorithms for isolating this information. The first uses web block classification, where each node in the Document Object Model (DOM) for a page is classified according to one of several pre-defined attributes from a common blog schema. The second uses a set of heuristics to select web blocks. These algorithms perform at a level suitable for initial use, validating this approach for isolating content and metadata from blogs. The resultant data serves as a starting point for analytical work on the content and substance of collections of weblog pages.

  3. Bayesian Models for Life Prediction and Fault-Mode Classification in Solid State Lamps

    SciTech Connect (OSTI)

    Lall, Pradeep; Wei, Junchao; Sakalaukus, Peter

    2015-04-19

    A new method has been developed for assessment of the onset of degradation in solid state luminaires to classifY failure mechanisms by using metrics beyond lumen degradation that are currently used for identification of failure. Luminous Flux output, Correlated Color Temperature Data on Philips LED Lamps has been gathered under 85C/85%RH till lamp failure. The acquired data has been used in conjunction with Bayesian Probabilistic Models to identifY luminaires with onset of degradation much prior to failure through identification of decision boundaries between lamps with accrued damage and lamps beyond the failure threshold in the feature space. In addition luminaires with different failure modes have been classified separately from healthy pristine luminaires. It is expected that, the new test technique will allow the development of failure distributions without testing till L 70 life for the manifestation of failure.

  4. Mechanism-based classification of PAH mixtures to predict carcinogenic potential

    SciTech Connect (OSTI)

    Tilton, Susan C.; Siddens, Lisbeth K.; Krueger, Sharon K.; Larkin, Andrew J.; Lhr, Christiane V.; Williams, David E.; Baird, William M.; Waters, Katrina M.

    2015-04-22

    We have previously shown that relative potency factors and DNA adduct measurements are inadequate for predicting carcinogenicity of certain polycyclic aromatic hydrocarbons (PAHs) and PAH mixtures, particularly those that function through alternate pathways or exhibit greater promotional activity compared to benzo[a]pyrene (BaP). Therefore, we developed a pathway based approach for classification of tumor outcome after dermal exposure to PAH/mixtures. FVB/N mice were exposed to dibenzo[def,p]chrysene (DBC), BaP or environmental PAH mixtures (Mix 1-3) following a two-stage initiation/promotion skin tumor protocol. Resulting tumor incidence could be categorized by carcinogenic potency as DBC>>BaP=Mix2=Mix3>Mix1=Control, based on statistical significance. Gene expression profiles measured in skin of mice collected 12 h post-initiation were compared to tumor outcome for identification of short-term bioactivity profiles. A Bayesian integration model was utilized to identify biological pathways predictive of PAH carcinogenic potential during initiation. Integration of probability matrices from four enriched pathways (p<0.05) for DNA damage, apoptosis, response to chemical stimulus and interferon gamma signaling resulted in the highest classification accuracy with leave-one-out cross validation. This pathway-driven approach was successfully utilized to distinguish early regulatory events during initiation prognostic for tumor outcome and provides proof-of-concept for using short-term initiation studies to classify carcinogenic potential of environmental PAH mixtures. As a result, these data further provide a source-to outcome model that could be used to predict PAH interactions during tumorigenesis and provide an example of how mode-of-action based risk assessment could be employed for environmental PAH mixtures.

  5. Validation and Simplification of the Radiation Therapy Oncology Group Recursive Partitioning Analysis Classification for Glioblastoma

    SciTech Connect (OSTI)

    Li Jing; Wang Meihua; Won, Minhee; Shaw, Edward G.; Coughlin, Christopher; Curran, Walter J.; Mehta, Minesh P.

    2011-11-01

    Purpose: Previous recursive partitioning analysis (RPA) of patients with malignant glioma (glioblastoma multiforme [GBM] and anaplastic astrocytoma [AA]) produced six prognostic groups (I-VI) classified by six factors. We sought here to determine whether the classification for GBM could be improved by using an updated Radiation Therapy Oncology Group (RTOG) GBM database excluding AA and by considering additional baseline variables. Methods and Materials: The new analysis considered 42 baseline variables and 1,672 GBM patients from the expanded RTOG glioma database. Patients receiving radiation only were excluded such that all patients received radiation+carmustine. 'Radiation dose received' was replaced with 'radiation dose assigned.' The new RPA models were compared with the original model by applying them to a test dataset comprising 488 patients from six other RTOG trials. Fitness of the original and new models was evaluated using explained variation. Results: The original RPA model explained more variations in survival in the test dataset than did the new models (20% vs. 15%) and was therefore chosen for further analysis. It was reduced by combining Classes V and VI to produce three prognostic classes (Classes III, IV, and V+VI), as Classes V and VI had indistinguishable survival in the test dataset. The simplified model did not further improve performance (explained variation 18% vs. 20%) but is easier to apply because it involves only four variables: age, performance status, extent of resection, and neurologic function. Applying this simplified model to the updated GBM database resulted in three distinct classes with median survival times of 17.1, 11.2, and 7.5 months for Classes III, IV, and V+VI, respectively. Conclusions: The final model, the simplified original RPA model combining Classes V and VI, resulted in three distinct prognostic groups defined by age, performance status, extent of resection, and neurologic function. This classification will be used in future RTOG GBM trials.

  6. Mechanism-based classification of PAH mixtures to predict carcinogenic potential

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tilton, Susan C.; Siddens, Lisbeth K.; Krueger, Sharon K.; Larkin, Andrew J.; Löhr, Christiane V.; Williams, David E.; Baird, William M.; Waters, Katrina M.

    2015-04-22

    We have previously shown that relative potency factors and DNA adduct measurements are inadequate for predicting carcinogenicity of certain polycyclic aromatic hydrocarbons (PAHs) and PAH mixtures, particularly those that function through alternate pathways or exhibit greater promotional activity compared to benzo[a]pyrene (BaP). Therefore, we developed a pathway based approach for classification of tumor outcome after dermal exposure to PAH/mixtures. FVB/N mice were exposed to dibenzo[def,p]chrysene (DBC), BaP or environmental PAH mixtures (Mix 1-3) following a two-stage initiation/promotion skin tumor protocol. Resulting tumor incidence could be categorized by carcinogenic potency as DBC>>BaP=Mix2=Mix3>Mix1=Control, based on statistical significance. Gene expression profiles measured inmore » skin of mice collected 12 h post-initiation were compared to tumor outcome for identification of short-term bioactivity profiles. A Bayesian integration model was utilized to identify biological pathways predictive of PAH carcinogenic potential during initiation. Integration of probability matrices from four enriched pathways (p<0.05) for DNA damage, apoptosis, response to chemical stimulus and interferon gamma signaling resulted in the highest classification accuracy with leave-one-out cross validation. This pathway-driven approach was successfully utilized to distinguish early regulatory events during initiation prognostic for tumor outcome and provides proof-of-concept for using short-term initiation studies to classify carcinogenic potential of environmental PAH mixtures. As a result, these data further provide a ‘source-to outcome’ model that could be used to predict PAH interactions during tumorigenesis and provide an example of how mode-of-action based risk assessment could be employed for environmental PAH mixtures.« less

  7. Solid waste bin detection and classification using Dynamic Time Warping and MLP classifier

    SciTech Connect (OSTI)

    Islam, Md. Shafiqul; Hannan, M.A.; Basri, Hassan; Hussain, Aini; Arebey, Maher

    2014-02-15

    Highlights: Solid waste bin level detection using Dynamic Time Warping (DTW). Gabor wavelet filter is used to extract the solid waste image features. Multi-Layer Perceptron classifier network is used for bin image classification. The classification performance evaluated by ROC curve analysis. - Abstract: The increasing requirement for Solid Waste Management (SWM) has become a significant challenge for municipal authorities. A number of integrated systems and methods have introduced to overcome this challenge. Many researchers have aimed to develop an ideal SWM system, including approaches involving software-based routing, Geographic Information Systems (GIS), Radio-frequency Identification (RFID), or sensor intelligent bins. Image processing solutions for the Solid Waste (SW) collection have also been developed; however, during capturing the bin image, it is challenging to position the camera for getting a bin area centralized image. As yet, there is no ideal system which can correctly estimate the amount of SW. This paper briefly discusses an efficient image processing solution to overcome these problems. Dynamic Time Warping (DTW) was used for detecting and cropping the bin area and Gabor wavelet (GW) was introduced for feature extraction of the waste bin image. Image features were used to train the classifier. A Multi-Layer Perceptron (MLP) classifier was used to classify the waste bin level and estimate the amount of waste inside the bin. The area under the Receiver Operating Characteristic (ROC) curves was used to statistically evaluate classifier performance. The results of this developed system are comparable to previous image processing based system. The system demonstration using DTW with GW for feature extraction and an MLP classifier led to promising results with respect to the accuracy of waste level estimation (98.50%). The application can be used to optimize the routing of waste collection based on the estimated bin level.

  8. THE GALEX TIME DOMAIN SURVEY. I. SELECTION AND CLASSIFICATION OF OVER A THOUSAND ULTRAVIOLET VARIABLE SOURCES

    SciTech Connect (OSTI)

    Gezari, S.; Martin, D. C.; Forster, K.; Neill, J. D.; Morrissey, P.; Wyder, T. K.; Huber, M.; Burgett, W. S.; Chambers, K. C.; Kaiser, N.; Magnier, E. A.; Tonry, J. L.; Heckman, T.; Bianchi, L.; Neff, S. G.; Seibert, M.; Schiminovich, D.; Price, P. A.

    2013-03-20

    We present the selection and classification of over a thousand ultraviolet (UV) variable sources discovered in {approx}40 deg{sup 2} of GALEX Time Domain Survey (TDS) NUV images observed with a cadence of 2 days and a baseline of observations of {approx}3 years. The GALEX TDS fields were designed to be in spatial and temporal coordination with the Pan-STARRS1 Medium Deep Survey, which provides deep optical imaging and simultaneous optical transient detections via image differencing. We characterize the GALEX photometric errors empirically as a function of mean magnitude, and select sources that vary at the 5{sigma} level in at least one epoch. We measure the statistical properties of the UV variability, including the structure function on timescales of days and years. We report classifications for the GALEX TDS sample using a combination of optical host colors and morphology, UV light curve characteristics, and matches to archival X-ray, and spectroscopy catalogs. We classify 62% of the sources as active galaxies (358 quasars and 305 active galactic nuclei), and 10% as variable stars (including 37 RR Lyrae, 53 M dwarf flare stars, and 2 cataclysmic variables). We detect a large-amplitude tail in the UV variability distribution for M-dwarf flare stars and RR Lyrae, reaching up to |{Delta}m| = 4.6 mag and 2.9 mag, respectively. The mean amplitude of the structure function for quasars on year timescales is five times larger than observed at optical wavelengths. The remaining unclassified sources include UV-bright extragalactic transients, two of which have been spectroscopically confirmed to be a young core-collapse supernova and a flare from the tidal disruption of a star by dormant supermassive black hole. We calculate a surface density for variable sources in the UV with NUV < 23 mag and |{Delta}m| > 0.2 mag of {approx}8.0, 7.7, and 1.8 deg{sup -2} for quasars, active galactic nuclei, and RR Lyrae stars, respectively. We also calculate a surface density rate in the UV for transient sources, using the effective survey time at the cadence appropriate to each class, of {approx}15 and 52 deg{sup -2} yr{sup -1} for M dwarfs and extragalactic transients, respectively.

  9. SPECTRAL CLASSIFICATION OF THE BRIGHTEST OBJECTS IN THE GALACTIC STAR-FORMING REGION W40

    SciTech Connect (OSTI)

    Shuping, R. Y.; Vacca, William D.; Kassis, Marc; Yu, Ka Chun

    2012-10-01

    We present high signal-to-noise, moderate resolution (R Almost-Equal-To 2000) near-infrared spectra, as well as 10 {mu}m imaging, for the brightest members of the central stellar cluster in the W40 H II region, obtained using the SpeX and MIRSI instruments at NASA's Infrared Telescope Facility. Using these observations combined with archival Spitzer Space Telescope data, we have determined the spectral classifications, extinction, distances, and spectral energy distributions (SEDs) for the brightest members of the cluster. Of the eight objects observed, we identify four main-sequence (MS) OB stars (one late-O, three early-B), two Herbig Ae/Be stars, and two low-mass young stellar objects (Class II). Strong He I absorption at 1.083 {mu}m in the MS star spectra strongly suggests that at least some of these sources are in fact close binaries. Two out of the four MS stars also show significant infrared excesses typical of circumstellar disks. Extinctions and distances were determined for each MS star by fitting model stellar atmospheres to the SEDs. We estimate a distance to the cluster of between 455 and 535 pc, which agrees well with earlier (but far less precise) distance estimates. We conclude that the late-O star we identify is the dominant source of Lyman continuum luminosity needed to power the W40 H II region and is the likely source of the stellar wind that has blown a large ( Almost-Equal-To 4 pc) pinched-waist bubble observed in wide-field mid-IR images. We also suggest that 3.6 cm radio emission observed from some of the sources in the cluster is likely not due to emission from ultracompact H II regions, as suggested in other work, due to size constraints based on our derived distance to the cluster. Finally, we also present a discussion of the curious source IRS 3A, which has a very strong mid-IR excess (despite its B3 MS classification) and appears to be embedded in a dusty envelope roughly 2700 AU in size.

  10. EXPLORING THE VARIABLE SKY WITH LINEAR. III. CLASSIFICATION OF PERIODIC LIGHT CURVES

    SciTech Connect (OSTI)

    Palaversa, Lovro; Eyer, Laurent; Rimoldini, Lorenzo; Ivezi?, eljko; Loebman, Sarah; Hunt-Walker, Nicholas; VanderPlas, Jacob; Westman, David; Becker, Andrew C.; Rudjak, Domagoj; Sudar, Davor; Boi?, Hrvoje; Galin, Mario; Kroflin, Andrea; Mesari?, Martina; Munk, Petra; Vrbanec, Dijana; Sesar, Branimir; Stuart, J. Scott; Srdo?, Gregor; and others

    2013-10-01

    We describe the construction of a highly reliable sample of ?7000 optically faint periodic variable stars with light curves obtained by the asteroid survey LINEAR across 10,000 deg{sup 2} of the northern sky. The majority of these variables have not been cataloged yet. The sample flux limit is several magnitudes fainter than most other wide-angle surveys; the photometric errors range from ?0.03 mag at r = 15 to ?0.20 mag at r = 18. Light curves include on average 250 data points, collected over about a decade. Using Sloan Digital Sky Survey (SDSS) based photometric recalibration of the LINEAR data for about 25 million objects, we selected ?200,000 most probable candidate variables with r < 17 and visually confirmed and classified ?7000 periodic variables using phased light curves. The reliability and uniformity of visual classification across eight human classifiers was calibrated and tested using a catalog of variable stars from the SDSS Stripe 82 region and verified using an unsupervised machine learning approach. The resulting sample of periodic LINEAR variables is dominated by 3900 RR Lyrae stars and 2700 eclipsing binary stars of all subtypes and includes small fractions of relatively rare populations such as asymptotic giant branch stars and SX Phoenicis stars. We discuss the distribution of these mostly uncataloged variables in various diagrams constructed with optical-to-infrared SDSS, Two Micron All Sky Survey, and Wide-field Infrared Survey Explorer photometry, and with LINEAR light-curve features. We find that the combination of light-curve features and colors enables classification schemes much more powerful than when colors or light curves are each used separately. An interesting side result is a robust and precise quantitative description of a strong correlation between the light-curve period and color/spectral type for close and contact eclipsing binary stars (? Lyrae and W UMa): as the color-based spectral type varies from K4 to F5, the median period increases from 5.9 hr to 8.8 hr. These large samples of robustly classified variable stars will enable detailed statistical studies of the Galactic structure and physics of binary and other stars and we make these samples publicly available.

  11. Twisted injectivity in projected entangled pair states and the classification of quantum phases

    SciTech Connect (OSTI)

    Buerschaper, Oliver

    2014-12-15

    We introduce a class of projected entangled pair states (PEPS) which is based on a group symmetry twisted by a 3-cocycle of the group. This twisted symmetry is expressed as a matrix product operator (MPO) with bond dimension greater than1 and acts on the virtual boundary of a PEPS tensor. We show that it gives rise to a new standard form for PEPS from which we construct a family of local Hamiltonians which are gapped, frustration-free and include fixed points of the renormalization group flow. Based on this insight, we advance the classification of 2D gapped quantum spin systems by showing how this new standard form for PEPS determines the emergent topological order of these local Hamiltonians. Specifically, we identify their universality class as DIJKGRAAFWITTEN topological quantum field theory (TQFT). - Highlights: We introduce a new standard form for projected entangled pair states via a twisted group symmetry which is given by nontrivial matrix product operators. We construct a large family of gapped, frustration-free Hamiltonians in two dimensions from this new standard form. We rigorously show how this new standard form for low energy states determines the emergent topological order.

  12. Standard for Communicating Waste Characterization and DOT Hazard Classification Requirements for Low Specific Activity Materials and Surface Contaminated Objects

    Energy Savers [EERE]

    STD-5507-2013 February 2013 DOE STANDARD Standard for Communicating Waste Characterization and DOT Hazard Classification Requirements for Low Specific Activity Materials and Surface Contaminated Objects [This Standard describes acceptable, but not mandatory means for complying with requirements. Standards are not requirements documents and are not to be construed as requirements in any audit or appraisal for compliance with associated rule or directives.] U.S. Department of Energy SAFT

  13. ROBUSTNESS OF DECISION INSIGHTS UNDER ALTERNATIVE ALEATORY/EPISTEMIC UNCERTAINTY CLASSIFICATIONS

    SciTech Connect (OSTI)

    Unwin, Stephen D.; Eslinger, Paul W.; Johnson, Kenneth I.

    2013-09-22

    The Risk-Informed Safety Margin Characterization (RISMC) pathway is a set of activities defined under the U.S. Department of Energy Light Water Reactor Sustainability Program. The overarching objective of RISMC is to support plant life-extension decision-making by providing a state-of-knowledge characterization of safety margins in key systems, structures, and components (SSCs). A key technical challenge is to establish the conceptual and technical feasibility of analyzing safety margin in a risk-informed way, which, unlike conventionally defined deterministic margin analysis, would be founded on probabilistic characterizations of SSC performance. Evaluation of probabilistic safety margins will in general entail the uncertainty characterization both of the prospective challenge to the performance of an SSC ("load") and of its "capacity" to withstand that challenge. The RISMC framework contrasts sharply with the traditional probabilistic risk assessment (PRA) structure in that the underlying models are not inherently aleatory. Rather, they are largely deterministic physical/engineering models with ambiguities about the appropriate uncertainty classification of many model parameters. The current analysis demonstrates that if the distinction between epistemic and aleatory uncertainties is to be preserved in a RISMC-like modeling environment, then it is unlikely that analysis insights supporting decision-making will in general be robust under recategorization of input uncertainties. If it is believed there is a true conceptual distinction between epistemic and aleatory uncertainty (as opposed to the distinction being primarily a legacy of the PRA paradigm) then a consistent and defensible basis must be established by which to categorize input uncertainties.

  14. ACTIVE LEARNING TO OVERCOME SAMPLE SELECTION BIAS: APPLICATION TO PHOTOMETRIC VARIABLE STAR CLASSIFICATION

    SciTech Connect (OSTI)

    Richards, Joseph W.; Starr, Dan L.; Miller, Adam A.; Bloom, Joshua S.; Butler, Nathaniel R.; Berian James, J.; Brink, Henrik; Long, James P.; Rice, John

    2012-01-10

    Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in large-scale surveys, the peculiarities of the training data often manifest as strongly biased predictions on the data of interest. Typically, training sets are derived from historical surveys of brighter, more nearby objects than those from more extensive, deeper surveys (testing data). This sample selection bias can cause catastrophic errors in predictions on the testing data because (1) standard assumptions for machine-learned model selection procedures break down and (2) dense regions of testing space might be completely devoid of training data. We explore possible remedies to sample selection bias, including importance weighting, co-training, and active learning (AL). We argue that AL-where the data whose inclusion in the training set would most improve predictions on the testing set are queried for manual follow-up-is an effective approach and is appropriate for many astronomical applications. For a variable star classification problem on a well-studied set of stars from Hipparcos and Optical Gravitational Lensing Experiment, AL is the optimal method in terms of error rate on the testing data, beating the off-the-shelf classifier by 3.4% and the other proposed methods by at least 3.0%. To aid with manual labeling of variable stars, we developed a Web interface which allows for easy light curve visualization and querying of external databases. Finally, we apply AL to classify variable stars in the All Sky Automated Survey, finding dramatic improvement in our agreement with the ASAS Catalog of Variable Stars, from 65.5% to 79.5%, and a significant increase in the classifier's average confidence for the testing set, from 14.6% to 42.9%, after a few AL iterations.

  15. Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification

    SciTech Connect (OSTI)

    Drukker, Karen Giger, Maryellen L.; Li, Hui; Duewer, Fred; Malkov, Serghei; Joe, Bonnie; Kerlikowske, Karla; Shepherd, John A.; Flowers, Chris I.; Drukteinis, Jennifer S.

    2014-03-15

    Purpose: To investigate whether biologic image composition of mammographic lesions can improve upon existing mammographic quantitative image analysis (QIA) in estimating the probability of malignancy. Methods: The study population consisted of 45 breast lesions imaged with dual-energy mammography prior to breast biopsy with final diagnosis resulting in 10 invasive ductal carcinomas, 5 ductal carcinomain situ, 11 fibroadenomas, and 19 other benign diagnoses. Analysis was threefold: (1) The raw low-energy mammographic images were analyzed with an established in-house QIA method, QIA alone, (2) the three-compartment breast (3CB) composition measurederived from the dual-energy mammographyof water, lipid, and protein thickness were assessed, 3CB alone, and (3) information from QIA and 3CB was combined, QIA + 3CB. Analysis was initiated from radiologist-indicated lesion centers and was otherwise fully automated. Steps of the QIA and 3CB methods were lesion segmentation, characterization, and subsequent classification for malignancy in leave-one-case-out cross-validation. Performance assessment included box plots, BlandAltman plots, and Receiver Operating Characteristic (ROC) analysis. Results: The area under the ROC curve (AUC) for distinguishing between benign and malignant lesions (invasive and DCIS) was 0.81 (standard error 0.07) for the QIA alone method, 0.72 (0.07) for 3CB alone method, and 0.86 (0.04) for QIA+3CB combined. The difference in AUC was 0.043 between QIA + 3CB and QIA alone but failed to reach statistical significance (95% confidence interval [0.17 to + 0.26]). Conclusions: In this pilot study analyzing the new 3CB imaging modality, knowledge of the composition of breast lesions and their periphery appeared additive in combination with existing mammographic QIA methods for the distinction between different benign and malignant lesion types.

  16. Impact of Passive Safety on FHR Instrumentation Systems Design and Classification

    SciTech Connect (OSTI)

    Holcomb, David Eugene

    2015-01-01

    Fluoride salt-cooled high-temperature reactors (FHRs) will rely more extensively on passive safety than earlier reactor classes. 10CFR50 Appendix A, General Design Criteria for Nuclear Power Plants, establishes minimum design requirements to provide reasonable assurance of adequate safety. 10CFR50.69, Risk-Informed Categorization and Treatment of Structures, Systems and Components for Nuclear Power Reactors, provides guidance on how the safety significance of systems, structures, and components (SSCs) should be reflected in their regulatory treatment. The Nuclear Energy Institute (NEI) has provided 10 CFR 50.69 SSC Categorization Guideline (NEI-00-04) that factors in probabilistic risk assessment (PRA) model insights, as well as deterministic insights, through an integrated decision-making panel. Employing the PRA to inform deterministic requirements enables an appropriately balanced, technically sound categorization to be established. No FHR currently has an adequate PRA or set of design basis accidents to enable establishing the safety classification of its SSCs. While all SSCs used to comply with the general design criteria (GDCs) will be safety related, the intent is to limit the instrumentation risk significance through effective design and reliance on inherent passive safety characteristics. For example, FHRs have no safety-significant temperature threshold phenomena, thus, enabling the primary and reserve reactivity control systems required by GDC 26 to be passively, thermally triggered at temperatures well below those for which core or primary coolant boundary damage would occur. Moreover, the passive thermal triggering of the primary and reserve shutdown systems may relegate the control rod drive motors to the control system, substantially decreasing the amount of safety-significant wiring needed. Similarly, FHR decay heat removal systems are intended to be running continuously to minimize the amount of safety-significant instrumentation needed to initiate operation of systems and components important to safety as required in GDC 20. This paper provides an overview of the design process employed to develop a pre-conceptual FHR instrumentation architecture intended to lower plant capital and operational costs by minimizing reliance on expensive, safety related, safety-significant instrumentation through the use of inherent passive features of FHRs.

  17. An Adaptive Landscape Classification Procedure using Geoinformatics and Artificial Neural Networks

    SciTech Connect (OSTI)

    Coleman, Andre M.

    2008-08-01

    The Adaptive Landscape Classification Procedure (ALCP), which links the advanced geospatial analysis capabilities of Geographic Information Systems (GISs) and Artificial Neural Networks (ANNs) and particularly Self-Organizing Maps (SOMs), is proposed as a method for establishing and reducing complex data relationships. Its adaptive and evolutionary capability is evaluated for situations where varying types of data can be combined to address different prediction and/or management needs such as hydrologic response, water quality, aquatic habitat, groundwater recharge, land use, instrumentation placement, and forecast scenarios. The research presented here documents and presents favorable results of a procedure that aims to be a powerful and flexible spatial data classifier that fuses the strengths of geoinformatics and the intelligence of SOMs to provide data patterns and spatial information for environmental managers and researchers. This research shows how evaluation and analysis of spatial and/or temporal patterns in the landscape can provide insight into complex ecological, hydrological, climatic, and other natural and anthropogenic-influenced processes. Certainly, environmental management and research within heterogeneous watersheds provide challenges for consistent evaluation and understanding of system functions. For instance, watersheds over a range of scales are likely to exhibit varying levels of diversity in their characteristics of climate, hydrology, physiography, ecology, and anthropogenic influence. Furthermore, it has become evident that understanding and analyzing these diverse systems can be difficult not only because of varying natural characteristics, but also because of the availability, quality, and variability of spatial and temporal data. Developments in geospatial technologies, however, are providing a wide range of relevant data, and in many cases, at a high temporal and spatial resolution. Such data resources can take the form of high-dimensional data arrays, which can difficult to fully use. Establishing relationships among high-dimensional datasets through neurocomputing based patterning methods can help 1) resolve large volumes of data into a meaningful form; 2) provide an approach for inferring landscape processes in areas that have limited data available but that exhibit similar landscape characteristics; and 3) discover the value of individual variables or groups of variables that contribute to specific processes in the landscape.

  18. A method for EIA scoping of wave energy converters-based on classification of the used technology

    SciTech Connect (OSTI)

    Margheritini, Lucia; Hansen, Anne Merrild; Frigaard, Peter

    2012-01-15

    During the first decade of the 21st Century the World faces spread concern for global warming caused by rise of green house gasses produced mainly by combustion of fossil fuels. Under this latest spin all renewable energies run parallel in order to achieve sustainable development. Among them wave energy has an unequivocal potential and technology is ready to enter the market and contribute to the renewable energy sector. Yet, frameworks and regulations for wave energy development are not fully ready, experiencing a setback caused by lack of understanding of the interaction of the technologies and marine environment, lack of coordination from the competent Authorities regulating device deployment and conflicts of maritime areas utilization. The EIA within the consent process is central in the realization of full scale devices and often is the meeting point for technology, politics and public. This paper presents the development of a classification of wave energy converters that is based on the different impact the technologies are expected to have on the environment. This innovative classification can be used in order to simplify the scoping process for developers and authorities.

  19. SALTSTONE VAULT CLASSIFICATION SAMPLES MODULAR CAUSTIC SIDE SOLVENT EXTRACTION UNIT/ACTINIDE REMOVAL PROCESS WASTE STREAM APRIL 2011

    SciTech Connect (OSTI)

    Eibling, R.

    2011-09-28

    Savannah River National Laboratory (SRNL) was asked to prepare saltstone from samples of Tank 50H obtained by SRNL on April 5, 2011 (Tank 50H sampling occurred on April 4, 2011) during 2QCY11 to determine the non-hazardous nature of the grout and for additional vault classification analyses. The samples were cured and shipped to Babcock & Wilcox Technical Services Group-Radioisotope and Analytical Chemistry Laboratory (B&W TSG-RACL) to perform the Toxic Characteristic Leaching Procedure (TCLP) and subsequent extract analysis on saltstone samples for the analytes required for the quarterly analysis saltstone sample. In addition to the eight toxic metals - arsenic, barium, cadmium, chromium, mercury, lead, selenium and silver - analytes included the underlying hazardous constituents (UHC) antimony, beryllium, nickel, and thallium which could not be eliminated from analysis by process knowledge. Additional inorganic species determined by B&W TSG-RACL include aluminum, boron, chloride, cobalt, copper, fluoride, iron, lithium, manganese, molybdenum, nitrate/nitrite as Nitrogen, strontium, sulfate, uranium, and zinc and the following radionuclides: gross alpha, gross beta/gamma, 3H, 60Co, 90Sr, 99Tc, 106Ru, 106Rh, 125Sb, 137Cs, 137mBa, 154Eu, 238Pu, 239/240Pu, 241Pu, 241Am, 242Cm, and 243/244Cm. B&W TSG-RACL provided subsamples to GEL Laboratories, LLC for analysis for the VOCs benzene, toluene, and 1-butanol. GEL also determines phenol (total) and the following radionuclides: 147Pm, 226Ra and 228Ra. Preparation of the 2QCY11 saltstone samples for the quarterly analysis and for vault classification purposes and the subsequent TCLP analyses of these samples showed that: (1) The saltstone waste form disposed of in the Saltstone Disposal Facility in 2QCY11 was not characteristically hazardous for toxicity. (2) The concentrations of the eight RCRA metals and UHCs identified as possible in the saltstone waste form were present at levels below the UTS. (3) Most of the inorganic species measured in the leachate do not exceed the MCL, SMCL or TW limits. (4) The inorganic waste species that exceeded the MCL by more than a factor of 10 were nitrate, nitrite and the sum of nitrate and nitrite. (5) Analyses met all quality assurance specifications of US EPA SW-846. (6) The organic species (benzene, toluene, 1-butanol, phenol) were either not detected or were less than reportable for the vault classification samples. (7) The gross alpha and radium isotopes could not be determined to the MCL because of the elevated background which raised the detection limits. (8) Most of the beta/gamma activity was from 137Cs and its daughter 137mBa. (9) The concentration of 137Cs and 90Sr were present in the leachate at concentrations 1/40th and 1/8th respectively than in the 2003 vault classification samples. The saltstone waste form placed in the Saltstone Disposal Facility in 2QCY11 met the SCHWMR R.61-79.261.24(b) RCRA metals requirements for a nonhazardous waste form. The TCLP leachate concentrations for nitrate, nitrite and the sum of nitrate and nitrite were greater than 10x the MCLs in SCDHEC Regulations R.61-107.19, Part I A, which confirms the Saltstone Disposal Facility classification as a Class 3 Landfill. The saltstone waste form placed in the Saltstone Disposal Facility in 2QCY11 met the R.61-79.268.48(a) non wastewater treatment standards.

  20. Hydroprobe | Open Energy Information

    Open Energy Info (EERE)

    Provided by Technique Lithology: StratigraphicStructural: Hydrological: Collection of ground water samples for geochemistry and geothermometry Thermal: Temperature measurements...

  1. GUIDANCE FOR THE PROPER CHARACTERIZATION AND CLASSIFICATION OF LOW SPECIFIC ACTIVITY MATERIALS AND SURFACE CONTAMINATED OBJECTS FOR DISPOSAL

    SciTech Connect (OSTI)

    PORTSMOUTH JH; BLACKFORD LT

    2012-02-13

    Regulatory concerns over the proper characterization of certain waste streams led CH2M HILL Plateau Remediation Company (CHPRC) to develop written guidance for personnel involved in Decontamination & Decommissioning (D&D) activities, facility management and Waste Management Representatives (WMRs) involved in the designation of wastes for disposal on and off the Hanford Site. It is essential that these waste streams regularly encountered in D&D operations are properly designated, characterized and classified prior to shipment to a Treatment, Storage or Disposal Facility (TSDF). Shipments of waste determined by the classification process as Low Specific Activity (LSA) or Surface Contaminated Objects (SCO) must also be compliant with all applicable U.S. Department of Transportation (DOE) regulations as well as Department of Energy (DOE) orders. The compliant shipment of these waste commodities is critical to the Hanford Central Plateau cleanup mission. Due to previous problems and concerns from DOE assessments, CHPRC internal critiques as well as DOT, a management decision was made to develop written guidance and procedures to assist CHPRC shippers and facility personnel in the proper classification of D&D waste materials as either LSA or SCO. The guidance provides a uniform methodology for the collection and documentation required to effectively characterize, classify and identify candidate materials for shipping operations. A primary focus is to ensure that waste materials generated from D&D and facility operations are compliant with the DOT regulations when packaged for shipment. At times this can be difficult as the current DOT regulations relative to the shipment of LSA and SCO materials are often not clear to waste generators. Guidance is often sought from NUREG 1608/RAMREG-003 [3]: a guidance document that was jointly developed by the DOT and the Nuclear Regulatory Commission (NRC) and published in 1998. However, NUREG 1608 [3] is now thirteen years old and requires updating to comply with the newer DOT regulations. Similar challenges present themselves throughout the nuclear industry in both commercial and government operations and therefore, this is not only a Hanford Site problem. Shipping radioactive wastes as either LSA or SCO rather than repacking it is significantly cheaper than other DOT radioactive materials shipping classifications particularly when the cost of packages is included. Additionally, the need to 'repackage' materials for transport can often increase worker exposure, necessitated by 'repackaging' waste materials into DOT 7 A Type A containers.

  2. Classification System for Identifying Women at Risk for Altered Partial Breast Irradiation Recommendations After Breast Magnetic Resonance Imaging

    SciTech Connect (OSTI)

    Kowalchik, Kristin V.; Vallow, Laura A.; McDonough, Michelle; Thomas, Colleen S.; Heckman, Michael G.; Peterson, Jennifer L.; Adkisson, Cameron D.; Serago, Christopher; McLaughlin, Sarah A.

    2013-09-01

    Purpose: To study the utility of preoperative breast MRI for partial breast irradiation (PBI) patient selection, using multivariable analysis of significant risk factors to create a classification rule. Methods and Materials: Between 2002 and 2009, 712 women with newly diagnosed breast cancer underwent preoperative bilateral breast MRI at Mayo Clinic Florida. Of this cohort, 566 were retrospectively deemed eligible for PBI according to the National Surgical Adjuvant Breast and Bowel Project Protocol B-39 inclusion criteria using physical examination, mammogram, and/or ultrasound. Magnetic resonance images were then reviewed to determine their impact on patient eligibility. The patient and tumor characteristics were evaluated to determine risk factors for altered PBI eligibility after MRI and to create a classification rule. Results: Of the 566 patients initially eligible for PBI, 141 (25%) were found ineligible because of pathologically proven MRI findings. Magnetic resonance imaging detected additional ipsilateral breast cancer in 118 (21%). Of these, 62 (11%) had more extensive disease than originally noted before MRI, and 64 (11%) had multicentric disease. Contralateral breast cancer was detected in 28 (5%). Four characteristics were found to be significantly associated with PBI ineligibility after MRI on multivariable analysis: premenopausal status (P=.021), detection by palpation (P<.001), first-degree relative with a history of breast cancer (P=.033), and lobular histology (P=.002). Risk factors were assigned a score of 0-2. The risk of altered PBI eligibility from MRI based on number of risk factors was 0:18%; 1:22%; 2:42%; 3:65%. Conclusions: Preoperative bilateral breast MRI altered the PBI recommendations for 25% of women. Women who may undergo PBI should be considered for breast MRI, especially those with lobular histology or with 2 or more of the following risk factors: premenopausal, detection by palpation, and first-degree relative with a history of breast cancer.

  3. The need for a characteristics-based approach to radioactive waste classification as informed by advanced nuclear fuel cycles using the fuel-cycle integration and tradeoffs (FIT) model

    SciTech Connect (OSTI)

    Djokic, D. [Department of Nuclear Engineering, University of California, Berkeley, 3115B Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, S.; Pincock, L.; Soelberg, N. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

    2013-07-01

    This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. Because heat generation is generally the most important factor limiting geological repository areal loading, this analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. Waste streams generated in different fuel cycles and their possible classification based on the current U.S. framework and international standards are discussed. It is shown that the effects of separating waste streams are neglected under a source-based radioactive waste classification system. (authors)

  4. Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model

    SciTech Connect (OSTI)

    Denia Djokic; Steven J. Piet; Layne F. Pincock; Nick R. Soelberg

    2013-02-01

    This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system , and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity.

  5. Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model - 13413

    SciTech Connect (OSTI)

    Djokic, Denia [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States)] [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, Steven J.; Pincock, Layne F.; Soelberg, Nick R. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)] [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

    2013-07-01

    This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system, and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity. (authors)

  6. Assessment of Exploitable Geothermal Resources Using Magmatic...

    Open Energy Info (EERE)

    parameter in the magmatic transfer method. The method of magmatic heat transfer (Smith and Shaw, 1975; Sanyal et al., 2002) was applied in the main volcanic complexes of the...

  7. Assessing the Rye Patch Geothermal Field, a Classic Basin-and...

    Open Energy Info (EERE)

    the Rye Patch Geothermal Field, a Classic Basin-and-Range Resource Authors S.K Sanyal, J.R McNitt, S. J. Butler, C. W. Klein and and R.E. Elliss Published Journal GRC...

  8. Assessing the Rye Patch geothermal field, a classic Basin-and...

    Open Energy Info (EERE)

    if one or two additional wells are drilled for injection. Authors Sanyal, S.K., McNitt, J.R., Butler, S.J., Klein, C.W., and Ellis and R.K. Conference GRC Annual Meeting;...

  9. Position Management and Classification

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-10-30

    The Order establishes Departmental requirements and responsibilities for classifying positions using the General Schedule (GS) and the Federal Wage System (FWS) standards.

  10. Methods for data classification

    DOE Patents [OSTI]

    Garrity, George (Okemos, MI); Lilburn, Timothy G. (Front Royal, VA)

    2011-10-11

    The present invention provides methods for classifying data and uncovering and correcting annotation errors. In particular, the present invention provides a self-organizing, self-correcting algorithm for use in classifying data. Additionally, the present invention provides a method for classifying biological taxa.

  11. Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain,

    Office of Scientific and Technical Information (OSTI)

    Idaho using Multicomponent Geothermometry (Conference) | SciTech Connect Conference: Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain, Idaho using Multicomponent Geothermometry Citation Details In-Document Search Title: Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain, Idaho using Multicomponent Geothermometry The U.S. Geological survey has estimated that there are up to 4,900 MWe of undiscovered geothermal resources and 92,000 MWe of enhanced

  12. Compound and Elemental Analysis At Blackfoot Reservoir Area ...

    Open Energy Info (EERE)

    References Amy Hutsinpiller, W. T. Parry (1985) Geochemistry And Geothermometry Of Spring Water From The Blackfoot Reservoir Region, Southeastern Idaho Additional References...

  13. Geology and Geothermal Potential of the Roosevelt Hot Springs...

    Open Energy Info (EERE)

    Field Mapping At Roosevelt Hot Springs Geothermal Area (Petersen, 1975) Geothermal Literature Review At Roosevelt Hot Springs Geothermal Area (Petersen, 1975) Geothermometry At...

  14. Property:ExplorationTimePerMetric | Open Energy Information

    Open Energy Info (EERE)

    Techniques Geothermal Literature Review Geothermometry Gravity Methods Gravity Techniques Ground Electromagnetic Techniques Groundwater Sampling H Hand-held X-Ray Fluorescence...

  15. Conceptual Geologic Model and Native State Model of the Roosevelt...

    Open Energy Info (EERE)

    (Faulder, 1991) Geothermometry At Roosevelt Hot Springs Geothermal Area (Faulder, 1991) Ground Gravity Survey At Roosevelt Hot Springs Geothermal Area (Faulder, 1991) Isotopic...

  16. Cation Geothermometers | Open Energy Information

    Open Energy Info (EERE)

    prospect the fastest is obtaining attractive chemical confirmation (geothermometry, gas analyses) that a thermal resource exists in that location. As with all geothermal...

  17. Category:Geochemical Data Analysis | Open Energy Information

    Open Energy Info (EERE)

    category, out of 4 total. G Geochemical Data Analysis Geothermometry T Thermal Ion Dispersion Thermochronometry Retrieved from "http:en.openei.orgwindex.php?titleCategory:Ge...

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

    Open Energy Info (EERE)

    Interactions in the Fenton Hill, New Mexico, Hot Dry Rock Geothermal Systems I. Fluid Mixing and Chemical Geothermometry Additional References Retrieved from "http:...

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

    Open Energy Info (EERE)

    Interactions in the Fenton Hill, New Mexico, Hot Dry Rock Geothermal Systems I. Fluid Mixing and Chemical Geothermometry Additional References Retrieved from "http:...

  20. The Genomes OnLine Database (GOLD) v.5: a metadata management system based on a four level (meta)genome project classifications

    SciTech Connect (OSTI)

    Thomas, Alex D.; Stamatis, Dimitri; Bertsch, Jon; Isbandi, Michelle; Jansson, Jakob; Mallajosyula, Jyothi; Pagani, Ioanna; Lobos, Elizabeth A.; Kyrpides, Nikos C.; Reddy, Tatiparthi

    2014-10-29

    The Genomes OnLine Database (GOLD, http://www.genomesonline.org) is a comprehensive online resource to catalogue and monitor genetic studies worldwide. GOLD provides up-to-date status on complete and ongoing sequencing projects along with a broad array of curated metadata. Here we report version 5 (v.5) of the database. The newly designed database schema and web user interface supports several new features including the implementation of a four level (meta)genome project classification system and a simplified intuitive web interface to access reports and launch search tools. The database currently hosts information for about 19,200 studies, 56,000 Biosamples, 56,000 sequencing projects, and 39,400 analysis projects. More than just a catalogue of worldwide genome projects, GOLD is a manually curated, quality controlled metadata warehouse. The problems encountered in integrating disparate and varying quality data into GOLD are briefly highlighted. GOLD fully supports and follows the Genomic Standards Consortium (GSC) Minimum Information standards.

  1. Rapid classification of biological components

    DOE Patents [OSTI]

    Thompson, Vicki S.; Barrett, Karen B.; Key, Diane E.

    2006-01-24

    A method is disclosed for analyzing a biological sample by antibody profiling for identifying forensic samples or for detecting the presence of an analyte. In an illustrative embodiment of the invention, the analyte is a drug, such as marijuana, cocaine, methamphetamine, methyltestosterone, or mesterolone. The method involves attaching antigens to the surface of a solid support in a preselected pattern to form an array wherein the locations of the antigens are known; contacting the array with the biological sample such that a portion of antibodies in the sample reacts with and binds to antigens in the array, thereby forming immune complexes; washing away antibodies that do form immune complexes; and detecting the immune complexes, thereby forming an antibody profile. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, can be coupled to a test for identity such that the results of the assay can be positively correlated to the subject's identity.

  2. Rapid classification of biological components

    DOE Patents [OSTI]

    Thompson, Vicki S.; Barrett, Karen B.; Key, Diane E.

    2010-03-23

    A method is disclosed for analyzing a biological sample by antibody profiling for identifying forensic samples or for detecting the presence of an analyte. In an illustrative embodiment of the invention, the analyte is a drug, such as marijuana, Cocaine (crystalline tropane alkaloid), methamphetamine, methyltestosterone, or mesterolone. The method involves attaching antigens of the surface of a solid support in a preselected pattern to form an array wherein the locations of the antigens are known; contacting the array with the biological sample such that a portion of antibodies in the sample reacts with and binds to antigens in the array, thereby forming immune complexes; washing away antibodies that do not form immune complexes; and detecting the immune complexes, thereby forming an antibody profile. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, can be coupled to a test for identity such that the results of the assay can be positively correlated to a subject's identity.

  3. Rapid classification of biological components

    DOE Patents [OSTI]

    Thompson, Vicki S.; Barrett, Karen B.; Key, Diane E.

    2010-03-23

    A method is disclosed for analyzing a biological sample by antibody profiling for identifying forensic samples or for detecting the presence of an analyte. In an illustrative embodiment of the invention, the analyte is a drug, such as marijuana, cocaine (crystalline tropane alkaloid), methamphetamine, methyltestosterone, or mesterolone. The method involves attaching antigens to a surface of a solid support in a preselected pattern to form an array wherein the locations of the antigens are known; contacting the array with the biological sample such that a portion of antibodies in the sample reacts with and binds to antigens in the array, thereby forming immune complexes; washing away antibodies that do not form immune complexes; and detecting the immune complexes, thereby forming an antibody profile. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, can be coupled to a test for identity such that the results of the assay can be positively correlated to a subject's identity.

  4. Video occupant detection and classification

    DOE Patents [OSTI]

    Krumm, John C. (Albuquerque, NM)

    1999-01-01

    A system for determining when it is not safe to arm a vehicle airbag by storing representations of known situations as observed by a camera at a passenger seat; and comparing a representation of a camera output of the current situation to the stored representations to determine the known situation most closely represented by the current situation. In the preferred embodiment, the stored representations include the presence or absence of a person or infant seat in the front passenger seat of an automobile.

  5. Nonderivative modified gravity: a classification

    SciTech Connect (OSTI)

    Comelli, D.; Nesti, F.; Pilo, L. E-mail: fabrizio.nesti@irb.hr

    2014-11-01

    We analyze the theories of gravity modified by a generic nonderivative potential built from the metric, under the minimal requirement of unbroken spatial rotations. Using the canonical analysis, we classify the potentials V according to the number of degrees of freedom (DoF) that propagate at the nonperturbative level. We then compare the nonperturbative results with the perturbative DoF propagating around Minkowski and FRW backgrounds. A generic V implies 6 propagating DoF at the non-perturbative level, with a ghost on Minkowski background. There exist potentials which propagate 5 DoF, as already studied in previous works. Here, no V with unbroken rotational invariance admitting 4 DoF is found. Theories with 3 DoF turn out to be strongly coupled on Minkowski background. Finally, potentials with only the 2 DoF of a massive graviton exist. Their effect on cosmology is simply equivalent to a cosmological constant. Potentials with 2 or 5 DoF and explicit time dependence appear to be a further viable possibility.

  6. A classification scheme for young stellar objects using the wide-field infrared survey explorer AllWISE catalog: revealing low-density star formation in the outer galaxy

    SciTech Connect (OSTI)

    Koenig, X. P.; Leisawitz, D. T.

    2014-08-20

    We present an assessment of the performance of WISE and the AllWISE data release for a section of the Galactic Plane. We lay out an approach to increasing the reliability of point-source photometry extracted from the AllWISE catalog in Galactic Plane regions using parameters provided in the catalog. We use the resulting catalog to construct a new, revised young star detection and classification scheme combining WISE and 2MASS near- and mid-infrared colors and magnitudes and test it in a section of the outer Milky Way. The clustering properties of the candidate Class I and II stars using a nearest neighbor density calculation and the two-point correlation function suggest that the majority of stars do form in massive star-forming regions, and any isolated mode of star formation is at most a small fraction of the total star forming output of the Galaxy. We also show that the isolated component may be very small and could represent the tail end of a single mechanism of star formation in line with models of molecular cloud collapse with supersonic turbulence and not a separate mode all to itself.

  7. Geochemistry and Isotopes of Fluids from Sulphur Springs, Valles...

    Open Energy Info (EERE)

    >Non-condensible gases consist of roughly 99% CO2 with minor amounts of H2S, H2, and CH4. Empirical gas geothermometry suggests a deep reservoir temperature of 215 to 280C....

  8. EERE PowerPoint 97-2004 Template: Green Version

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

    Geothermometry Mapping of Deep Hydrothermal Reservoirs in SE Idaho Earl Mattson INL Mark Conrad LBNL AOP 3.1.2.1 Track 2 HRC Project Officer: Eric Hass, Holly Thomas Total Project...

  9. Robustness of RISMC Insights under Alternative Aleatory/Epistemic Uncertainty Classifications: Draft Report under the Risk-Informed Safety Margin Characterization (RISMC) Pathway of the DOE Light Water Reactor Sustainability Program

    SciTech Connect (OSTI)

    Unwin, Stephen D.; Eslinger, Paul W.; Johnson, Kenneth I.

    2012-09-20

    The Risk-Informed Safety Margin Characterization (RISMC) pathway is a set of activities defined under the U.S. Department of Energy (DOE) Light Water Reactor Sustainability Program. The overarching objective of RISMC is to support plant life-extension decision-making by providing a state-of-knowledge characterization of safety margins in key systems, structures, and components (SSCs). A technical challenge at the core of this effort is to establish the conceptual and technical feasibility of analyzing safety margin in a risk-informed way, which, unlike conventionally defined deterministic margin analysis, would be founded on probabilistic characterizations of uncertainty in SSC performance. In the context of probabilistic risk assessment (PRA) technology, there has arisen a general consensus about the distinctive roles of two types of uncertainty: aleatory and epistemic, where the former represents irreducible, random variability inherent in a system, whereas the latter represents a state of knowledge uncertainty on the part of the analyst about the system which is, in principle, reducible through further research. While there is often some ambiguity about how any one contributing uncertainty in an analysis should be classified, there has nevertheless emerged a broad consensus on the meanings of these uncertainty types in the PRA setting. However, while RISMC methodology shares some features with conventional PRA, it will nevertheless be a distinctive methodology set. Therefore, the paradigms for classification of uncertainty in the PRA setting may not fully port to the RISMC environment. Yet the notion of risk-informed margin is based on the characterization of uncertainty, and it is therefore critical to establish a common understanding of uncertainty in the RISMC setting.

  10. Vapor Retarder Classification - Building America Top Innovation...

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

    This Top Innovation profile describes Building America research that established vapor ... Find other case studies of Building America projects across the country that utilizes ...

  11. National Geothermal Resource Assessment and Classification |...

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

    will enable lower riskcost deployment of conventional and EGS geothermal power. USGS is also supporting GTP input to DOE National Energy Modeling by providing resource assessment...

  12. National Geothermal Resource Assessment and Classification

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

    of the National Geothermal Data System. The results of this work will enable lower riskcost deployment of conventional and EGS geothermal power. USGS is also supporting GTP...

  13. Statistical fingerprinting for malware detection and classification

    DOE Patents [OSTI]

    Prowell, Stacy J.; Rathgeb, Christopher T.

    2015-09-15

    A system detects malware in a computing architecture with an unknown pedigree. The system includes a first computing device having a known pedigree and operating free of malware. The first computing device executes a series of instrumented functions that, when executed, provide a statistical baseline that is representative of the time it takes the software application to run on a computing device having a known pedigree. A second computing device executes a second series of instrumented functions that, when executed, provides an actual time that is representative of the time the known software application runs on the second computing device. The system detects malware when there is a difference in execution times between the first and the second computing devices.

  14. Integrating multiple data sources for malware classification

    DOE Patents [OSTI]

    Anderson, Blake Harrell; Storlie, Curtis B; Lane, Terran

    2015-04-28

    Disclosed herein are representative embodiments of tools and techniques for classifying programs. According to one exemplary technique, at least one graph representation of at least one dynamic data source of at least one program is generated. Also, at least one graph representation of at least one static data source of the at least one program is generated. Additionally, at least using the at least one graph representation of the at least one dynamic data source and the at least one graph representation of the at least one static data source, the at least one program is classified.

  15. Updating the Classification of Geothermal Resources - Presentation...

    Open Energy Info (EERE)

    - Presentation Abstract Abstract unavailable. Authors Colin F. Williams and Marshall J. Reed and Arlene F. Anderson Conference Thirty-Sixth Workshop on Geothermal Reservoir...

  16. Fly ash chemical classification based on lime

    SciTech Connect (OSTI)

    Fox, J.

    2007-07-01

    Typically, total lime content (CaO) of fly ash is shown in fly ash reports, but its significance is not addressed in US specifications. For certain applications a low lime ash is preferred. When a class C fly ash must be cementitious, lime content above 20% is required. A ternary S-A-C phase diagram pilot is given showing the location of fly ash compositions by coal rank and source in North America. Fly ashes from subbituminous coal from the Powder River Basin usually contain sufficient lime to be cementitious but blending with other coals may result in calcium being present in phases other than tricalcium aluminate. 9 refs., 1 fig.

  17. ARM - Evaluation Product - Cloud Classification VAP

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

    properties includes cloud boundaries, thickness, phase, type, and precipitation information, and hence provides a useful tool for evaluation of model simulations and...

  18. National Geothermal Resource Assessment and Classification

    Broader source: Energy.gov [DOE]

    This work will enable lower risk/cost deployment of conventional and EGS geothermal power. USGS is also supporting GTP input to DOE National Energy Modeling by providing resource assessment data by geothermal region as input to GTP supply curves.

  19. Classification Bulletin GEN-16 Revision 2

    Broader source: Energy.gov [DOE]

    Provides guidance to DOE Federal and contractor employees with access to classified information on appropriate actions when classified information

  20. Unified HVAC and Refrigeration Control Systems for Small Footprint Supermarkets

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

    Unified HVAC and Refrigeration Control Systems for Small Footprint Supermarkets Teja Kuruganti, David Fugate, James Nutaro, Jibonananda Sanyal, Brian Fricke Oak Ridge National Laboratory John Wallace Emerson Climate Technologies Presented at: Technical Meeting on Software Framework for Transactive Energy: VOLTTRON 23 rd - 24 th July, 2015 2 Presentation_name Motivation and Objective * Supermarket Energy Consumption - 37,000 supermarkets in the US * 2,000,000 kWh per year per store * 1,000,000

  1. ORNL Flexible Research Platforms

    Energy Savers [EERE]

    Flexible Research Platforms Presented by: Joshua New January 28, 2015 Empirical Validation of Whole-Building Energy Simulation Programs Patrick Hughes Ed Vineyard Melissa Lapsa PM: Joshua New PIs - Piljae Im and Mahabir Bhandari (Model) PI - Jibo Sanyal (Provenance) PI - Charles Castello (Sensor QA) PI - Joshua New (Visual Analytics) PI - Philip Boudreaux (Occupancy) PIs - Tony Gehl and Chris Halford (Sensors) PI - F&O (Installation) 2 Presentation name ORNL works with industry to accelerate

  2. ORNL Researchers Develop 'Autotune' Software to Make it Quicker,

    Energy Savers [EERE]

    Easier, and Cheaper to Model Energy Use of Buildings | Department of Energy ORNL Researchers Develop 'Autotune' Software to Make it Quicker, Easier, and Cheaper to Model Energy Use of Buildings ORNL Researchers Develop 'Autotune' Software to Make it Quicker, Easier, and Cheaper to Model Energy Use of Buildings October 15, 2014 - 12:34pm Addthis ORNL buildings researchers Jibonananda Sanyal, left, and Joshua New are developing software that will automatically calibrate models for simulating

  3. Accurate phylogenetic classification of DNA fragments based onsequence composition

    SciTech Connect (OSTI)

    McHardy, Alice C.; Garcia Martin, Hector; Tsirigos, Aristotelis; Hugenholtz, Philip; Rigoutsos, Isidore

    2006-05-01

    Metagenome studies have retrieved vast amounts of sequenceout of a variety of environments, leading to novel discoveries and greatinsights into the uncultured microbial world. Except for very simplecommunities, diversity makes sequence assembly and analysis a verychallenging problem. To understand the structure a 5 nd function ofmicrobial communities, a taxonomic characterization of the obtainedsequence fragments is highly desirable, yet currently limited mostly tothose sequences that contain phylogenetic marker genes. We show that forclades at the rank of domain down to genus, sequence composition allowsthe very accurate phylogenetic 10 characterization of genomic sequence.We developed a composition-based classifier, PhyloPythia, for de novophylogenetic sequence characterization and have trained it on adata setof 340 genomes. By extensive evaluation experiments we show that themethodis accurate across all taxonomic ranks considered, even forsequences that originate fromnovel organisms and are as short as 1kb.Application to two metagenome datasets 15 obtained from samples ofphosphorus-removing sludge showed that the method allows the accurateclassification at genus level of most sequence fragments from thedominant populations, while at the same time correctly characterizingeven larger parts of the samples at higher taxonomic levels.

  4. Representations and image classification methods for Cherenkov telescopes

    SciTech Connect (OSTI)

    Malagon, C.; Parcerisa, D. S.; Barrio, J. A.; Nieto, D.

    2008-05-29

    The problem of identifying gamma ray events out of charged cosmic ray background (so called hadrons) in Cherenkov telescopes is one of the key problems in VHE gamma ray astronomy. In this contribution, we present a novel approach to this problem by implementing different classifiers relying on the information of each pixel of the camera of a Cherenkov telescope.

  5. Binary classification of items of interest in a repeatable process

    DOE Patents [OSTI]

    Abell, Jeffrey A.; Spicer, John Patrick; Wincek, Michael Anthony; Wang, Hui; Chakraborty, Debejyo

    2014-06-24

    A system includes host and learning machines in electrical communication with sensors positioned with respect to an item of interest, e.g., a weld, and memory. The host executes instructions from memory to predict a binary quality status of the item. The learning machine receives signals from the sensor(s), identifies candidate features, and extracts features from the candidates that are more predictive of the binary quality status relative to other candidate features. The learning machine maps the extracted features to a dimensional space that includes most of the items from a passing binary class and excludes all or most of the items from a failing binary class. The host also compares the received signals for a subsequent item of interest to the dimensional space to thereby predict, in real time, the binary quality status of the subsequent item of interest.

  6. An Improved Cloud Classification Algorithm Based on the SGP CART...

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

    in the world. The millimeter wave cloud radar (MMCR) provides radar reflectivity and mean Doppler velocity profiles for most of clouds in the troposphere. Raman lidar provide not...

  7. The classification of magnetohydrodynamic regimes of thermonuclear combustion

    SciTech Connect (OSTI)

    Remming, Ian S. [Department of Astronomy and Astrophysics, The University of Chicago, Chicago, IL 60637 (United States); Khokhlov, Alexei M. [Department of Astronomy and Astrophysics, the Enrico Fermi Institute, and the Computational Institute, The University of Chicago, Chicago, IL 60637 (United States)

    2014-10-10

    Physical properties of magnetohydrodynamic (MHD) reaction fronts are studied as functions of the thermodynamic conditions, and the strength and orientation of the magnetic field in the unburned matter through which the fronts propagate. We determine the conditions for the existence of the various types of MHD reaction fronts and the character of the changes in physical quantities across these reaction fronts. The analysis is carried out in general for a perfect gas equation of state and a constant energy release, and then extended to thermonuclear reaction fronts in degenerate carbon-oxygen mixtures and degenerate helium in conditions typical of Type Ia supernova explosions. We find that as unburned matter enters perpendicular to a reaction front, the release of energy through burning generates shear velocity in the reacting gas that, depending on the type of reaction front, strengthens or weakens the magnetic field. In addition, we find that the steady-state propagation of a reaction front is impossible for certain ranges of magnetic field direction. Our results provide insight into the phenomena of MHD thermonuclear combustion that is relevant to the interpretation of future simulations of SN Ia explosions that have magnetic fields systematically incorporated.

  8. Bianchi Attractors: A Classification of Extremal Black Brane...

    Office of Scientific and Technical Information (OSTI)

    Information Service, Springfield, VA at www.ntis.gov. Authors: Iizuka, Norihiro ; CERN ; Kachru, Shamit ; Stanford U., ITP SLAC ; Kundu, Nilay ; Narayan, Prithvi ; Sircar,...

  9. A Proposed New Classification Of The Granites Of Egypt | Open...

    Open Energy Info (EERE)

    classified according to relative age (old and younger granites), dominant colour (grey, red and pink granites), type localities (Shaitian, Gattarian and Gharib granites) or their...

  10. USING CLOUD CLASSIFICATION TO MODEL SOLAR VARIABILITY Matthew...

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

    and variability profile for the location. 11. REFERENCES 1 R. J. Broderick, J. E. Quiroz, M. J. Reno, A. Ellis, J. Smith, and R. Dugan, "Time Series Power Flow Analysis for...

  11. Marginal erg facies: A trial approach toward a descriptive classification

    SciTech Connect (OSTI)

    Caputo, M.V. ); Langford, R.P. )

    1991-03-01

    During the late 1970s and early 1980s, sedimentologists began recognizing the margins of eolian sand seas as separate, components which differed from interior sand seas in geometry, extent, and facies. Stratigraphers have now observed these differences in eolian rocks. Erg margins may be grouped in five ways: (1) by associations with extradunal environments-coastal plain, lacustrine, periglacial, marine (tidal flat, coastal sabkha, beach, and lagoon), and arid alluvial (alluvial fan, fluvial, playa, inland sabkha); (2) by allocyclic controls-eustasy, plate tectonism, and climate; (3) by autocyclic controls-local tectonism, topography, vegetation, hydrology, structure, sediment source and supply, and wind regime; (4) by geographic position-upwind, downwind, and along-wind margins; and (5) by sedimentary facies-texture and architecture. In contrast with erg interiors, erg margins are characterized by smaller, less complex dune-forms related to thinner sand accumulation; elementary dune architecture; more vegetation and bioturbation; high occurrence of sand sheet, zibar, and serir facies; expansive, low-relief interdunes with widely distributed dunes; and a greater proportion of interbedded extradunal deposits. Some of the published studies on ancient eolian systems have identified erg margin facies that have been influences by marine and arid alluvial processes. Few reports have described lacustrine-eolian and periglacial-eolian interactions. This study is an attempt to organize known features of modern and ancient erg margins into a scheme based on erg margin controls.

  12. Terrain detection and classification using single polarization SAR

    DOE Patents [OSTI]

    Chow, James G.; Koch, Mark W.

    2016-01-19

    The various technologies presented herein relate to identifying manmade and/or natural features in a radar image. Two radar images (e.g., single polarization SAR images) can be captured for a common scene. The first image is captured at a first instance and the second image is captured at a second instance, whereby the duration between the captures are of sufficient time such that temporal decorrelation occurs for natural surfaces in the scene, and only manmade surfaces, e.g., a road, produce correlated pixels. A LCCD image comprising the correlated and decorrelated pixels can be generated from the two radar images. A median image can be generated from a plurality of radar images, whereby any features in the median image can be identified. A superpixel operation can be performed on the LCCD image and the median image, thereby enabling a feature(s) in the LCCD image to be classified.

  13. Detection and Classification of Buried Metallic Objects UX-1225

    SciTech Connect (OSTI)

    Morrison, Frank; Smith, Torquil; Becker, Alex; Gasperikova, Erika

    2005-03-31

    In summary the technical objectives of this project were: (1) To develop and demonstrate a methodology for the quantitative evaluation of existing active electromagnetic (AEM) systems and for the design of new systems. (2) To implement a new methodology for optimizing an AEM system for detecting and classifying UXO of a given class in a specified geologic setting and in a given noise environment. (3) To design and build a prototype of an active EM system for detecting and characterizing a metallic object in the ground.

  14. THE CLASSIFICATION OF KEPLER B-STAR VARIABLES

    SciTech Connect (OSTI)

    McNamara, Bernard J.; Jackiewicz, Jason; McKeever, Jean E-mail: jasonj@nmsu.edu

    2012-04-15

    The light curves of 252 B-star candidates in the Kepler database are analyzed in a similar fashion to that done by Balona et al. to further characterize B-star variability, increase the sample of variable B stars for future study, and to identify stars whose power spectra include particularly interesting features such as frequency groupings. Stars are classified as either constant light emitters, {beta} Cep stars, slowly pulsating B stars (SPBs), hybrid pulsators, binaries or stars whose light curves are dominated by rotation (Bin/Rot), hot subdwarfs, or white dwarfs. One-hundred stars in our sample were found to be either light constants or to be variable at a level of less than 0.02 mmag. We increase the number of candidate B-star variables found in the Kepler database by Balona et al. in the following fashion: {beta} Cep stars from 0 to 10, SPBs from eight to 54, hybrid pulsators from seven to 21, and Bin/Rot stars from 23 to 82. For comparison purposes, approximately 51 SPBs and six hybrids had been known prior to 2007. The number of {beta} Cep stars known prior to 2004 was 93. A secondary result of this study is the identification of an additional 11 pulsating white dwarf candidates, four of which possess frequency groupings.

  15. 3.0 UNIT IDENTIFICATION, CLASSIFICATION, AND PRIORITIZATION

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

    ... to complement decontamination and decommissioning of related structures. 3.5 WASTE ... Hanford Site, and describes the current status of each unit (e.g., activeinactive, TSD, ...

  16. Object Classification at the Nearby Supernova Factory (Journal...

    Office of Scientific and Technical Information (OSTI)

    Bibtex Format Close 0 pages in this document matching the terms "" Search For Terms: Enter terms in the toolbar above to search the full text of this document for pages...

  17. A3-4 Table A3-1. Classification

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

    rapidly permeable soils that formed in thick beds of unconsolidated sandy and loamy sediment of the upper Coastal Plain. These soils are on low toe slopes and in nearly level...

  18. Multitemporal spectral analysis for cheatgrass (Bromus tectorum) classification.

    SciTech Connect (OSTI)

    Singh, Nagendra; Glenn, Nancy F

    2009-07-01

    Operational satellite remote sensing data can provide the temporal repeatability necessary to capture phenological differences among species. This study develops a multitemporal stacking method coupled with spectral analysis for extracting information from Landsat imagery to provide species-level information. Temporal stacking can, in an approximate mathematical sense, effectively increase the 'spectral' resolution of the system by adding spectral bands of several multitemporal images. As a demonstration, multitemporal linear spectral unmixing is used to successfully delineate cheatgrass (Bromus tectorum) from soil and surrounding vegetation (77% overall accuracy). This invasive plant is an ideal target for exploring multitemporal methods because of its phenological differences with other vegetation in early spring and, to a lesser degree, in late summer. The techniques developed in this work are directly applicable for other targets with temporally unique spectral differences.

  19. Initial VHTR accident scenario classification: models and data.

    SciTech Connect (OSTI)

    Vilim, R. B.; Feldman, E. E.; Pointer, W. D.; Wei, T. Y. C.; Nuclear Engineering Division

    2005-09-30

    Nuclear systems codes are being prepared for use as computational tools for conducting performance/safety analyses of the Very High Temperature Reactor. The thermal-hydraulic codes are RELAP5/ATHENA for one-dimensional systems modeling and FLUENT and/or Star-CD for three-dimensional modeling. We describe a formal qualification framework, the development of Phenomena Identification and Ranking Tables (PIRTs), the initial filtering of the experiment databases, and a preliminary screening of these codes for use in the performance/safety analyses. In the second year of this project we focused on development of PIRTS. Two events that result in maximum fuel and vessel temperatures, the Pressurized Conduction Cooldown (PCC) event and the Depressurized Conduction Cooldown (DCC) event, were selected for PIRT generation. A third event that may result in significant thermal stresses, the Load Change event, is also selected for PIRT generation. Gas reactor design experience and engineering judgment were used to identify the important phenomena in the primary system for these events. Sensitivity calculations performed with the RELAP5 code were used as an aid to rank the phenomena in order of importance with respect to the approach of plant response to safety limits. The overall code qualification methodology was illustrated by focusing on the Reactor Cavity Cooling System (RCCS). The mixed convection mode of heat transfer and pressure drop is identified as an important phenomenon for Reactor Cavity Cooling System (RCCS) operation. Scaling studies showed that the mixed convection mode is likely to occur in the RCCS air duct during normal operation and during conduction cooldown events. The RELAP5/ATHENA code was found to not adequately treat the mixed convection regime. Readying the code will require adding models for the turbulent mixed convection regime while possibly performing new experiments for the laminar mixed convection regime. Candidate correlations for the turbulent mixed convection regime for circular channel geometry were identified in the literature. We describe the use of computational experiments to obtain correction factors for applying these circular channel results to the specialized channel geometry of the RCCS. The intent is to reduce the number of laboratory experiments required. The FLUENT and Star-CD codes contain models that in principle can handle mixed convection but no data were found to indicate that their empirical models for turbulence have been benchmarked for mixed convection conditions. Separate effects experiments were proposed for gathering the needed data. In future work we will use the PIRTs to guide review of other components and phenomena in a similar manner as was done for the mixed convection mode in the RCCS. This is consistent with the project objective of identifying weaknesses or gaps in the code models for representing thermal-hydraulic phenomena expected to occur in the VHTR both during normal operation and upsets, identifying the models that need to be developed, and identifying the experiments that must be performed to support model development.

  20. Rules governing the classification of coal slurries for filtering centrifuges

    SciTech Connect (OSTI)

    G.Y. Gol'berg; Y.B. Rubinshtein; S.A. Osadchii

    2008-07-01

    The feasibility of using filtering centrifuges for the cleaning of a coking-coal slurry is confirmed in principle, and regime operating parameters which ensure the production of a concentrate of conditioned quality are determined on the basis of results of experimental-industrial tests of a new procedure for this operation at the Neryungrinskaya Concentrating Mill. An equation is proposed for determination of solid carry-off in the centrifuge effluent, which completely satisfactorily (with a correlation coefficient of 0.7-0.8) describes the dependence of the parameter in question on the solid content in the centrifuge feed, and on its content of -0.2-mm material. It is noted that special investigations to determine the effect of the speed of the rotor and shape of the particles on the amount of solid carry-off in the centrifuge effluent are required for construction of a model describing the size reduction of solid-phase particles in the effluent during centrifuge filtration.

  1. Binary classification of items of interest in a repeatable process

    DOE Patents [OSTI]

    Abell, Jeffrey A; Spicer, John Patrick; Wincek, Michael Anthony; Wang, Hui; Chakraborty, Debejyo

    2015-01-06

    A system includes host and learning machines. Each machine has a processor in electrical communication with at least one sensor. Instructions for predicting a binary quality status of an item of interest during a repeatable process are recorded in memory. The binary quality status includes passing and failing binary classes. The learning machine receives signals from the at least one sensor and identifies candidate features. Features are extracted from the candidate features, each more predictive of the binary quality status. The extracted features are mapped to a dimensional space having a number of dimensions proportional to the number of extracted features. The dimensional space includes most of the passing class and excludes at least 90 percent of the failing class. Received signals are compared to the boundaries of the recorded dimensional space to predict, in real time, the binary quality status of a subsequent item of interest.

  2. Reassessing the extent of the Q classification for containment paint

    SciTech Connect (OSTI)

    Spires, G.

    1995-12-31

    A mounting number of site-specific paint debris transport and screen clogging analyses submitted to justify substandard containment paint work have been deemed persuasive by virtue of favorable U.S. Nuclear Regulatory Commission safety evaluation report (SER) findings. These lay a strong foundation for a standardized approach to redefining the extent to which paint in containment needs to be considered {open_quotes}Q.{close_quotes} This information justifies an initiative by licensees to roll back paint work quality commitments made at the design phase. This paper questions the validity of the basic premise that all primary containment paint can significantly compromise core and containment cooling [emergency core cooling system/engineered safeguard feature (ECCS/ESF)]. It is posited that the physical extent of painted containment surfaces for which extant material qualification and quality control (QC) structures need apply can be limited to zones relatively proximate to ECCS/ESF suction points. For other painted containment surfaces, simplified criteria should be allowed.

  3. Briefing, Classification of Nuclear Weapons-Related Information

    Broader source: Energy.gov [DOE]

    This brief will familiarize individuals from agencies outside of DOE who may come in contact with RD and FRD with the procedures for identifying, classifying, marking, handling, and declassifying documents containing Nuclear Weapons-Related Information.

  4. The Preston Geothermal Resources; Renewed Interest in a Known Geothermal Resource Area

    SciTech Connect (OSTI)

    Wood, Thomas R.; Worthing, Wade; Cannon, Cody; Palmer, Carl; Neupane, Ghanashyam; McLing, Travis L; Mattson, Earl; Dobson, Patric; Conrad, Mark

    2015-01-01

    The Preston Geothermal prospect is located in northern Cache Valley approximately 8 kilometers north of the city of Preston, in southeast Idaho. The Cache Valley is a structural graben of the northern portion of the Basin and Range Province, just south of the border with the Eastern Snake River Plain (ESRP). This is a known geothermal resource area (KGRA) that was evaluated in the 1970's by the State of Idaho Department of Water Resources (IDWR) and by exploratory wells drilled by Sunedco Energy Development. The resource is poorly defined but current interpretations suggest that it is associated with the Cache Valley structural graben. Thermal waters moving upward along steeply dipping northwest trending basin and range faults emanate in numerous hot springs in the area. Springs reach temperatures as hot as 84 C. Traditional geothermometry models estimated reservoir temperatures of approximately 125 C in the 1970s study. In January of 2014, interest was renewed in the areas when a water well drilled to 79 m (260 ft) yielded a bottom hole temperature of 104 C (217 F). The well was sampled in June of 2014 to investigate the chemical composition of the water for modeling geothermometry reservoir temperature. Traditional magnesium corrected Na-K-Ca geothermometry estimates this new well to be tapping water from a thermal reservoir of 227 C (440 F). Even without the application of improved predictive methods, the results indicate much higher temperatures present at much shallower depths than previously thought. This new data provides strong support for further investigation and sampling of wells and springs in the Northern Cache Valley, proposed for the summer of 2015. The results of the water will be analyzed utilizing a new multicomponent equilibrium geothermometry (MEG) tool called Reservoir Temperature Estimate (RTEst) to obtain an improved estimate of the reservoir temperature. The new data suggest that other KGRAs and overlooked areas may need to be investigated using improved geothermal exploration methods.

  5. Software and Data | Department of Energy

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

    Software and Data Software and Data Here you can find software programs that model geothermal systems and economics, as well as data related to geothermal technology and energy to assist with calculation and model construction. Software GeoT: A Computer Program for Multicomponent Geothermometry and Geochemical Speciation, Lawrence Berkeley National Laboratory Geothermal Electricity Technology Evaluation Model (GETEM) Chemical models for optimizing geothermal energy production, Idaho National

  6. Universal Membrane Classification Scheme: Maximizing the Return on High Temperature PEM Membrane Research

    Office of Energy Efficiency and Renewable Energy (EERE)

    This presentation on maximizing the return of high temperature PEM membrane research was given at the High Temperature Membrane Working Group Meeting in May 2007.

  7. Radioactive and mixed waste - risk as a basis for waste classification. Symposium proceedings No. 2

    SciTech Connect (OSTI)

    1995-06-21

    The management of risks from radioactive and chemical materials has been a major environmental concern in the United states for the past two or three decades. Risk management of these materials encompasses the remediation of past disposal practices as well as development of appropriate strategies and controls for current and future operations. This symposium is concerned primarily with low-level radioactive wastes and mixed wastes. Individual reports were processed separately for the Department of Energy databases.

  8. What happens to Petrov classification, on horizons of axisymmetric dirty black holes

    SciTech Connect (OSTI)

    Tanatarov, I. V.; Zaslavskii, O. B.

    2014-02-15

    We consider axisymmetric stationary dirty black holes with regular non-extremal or extremal horizons, and compute their on-horizon Petrov types. The Petrov type (PT) in the frame of the observer crossing the horizon can be different from that formally obtained in the usual (but singular in the horizon limit) frame of an observer on a circular orbit. We call this entity the boosted Petrov type (BPT), as the corresponding frame is obtained by a singular boost from the regular one. The PT off-horizon can be more general than PT on-horizon and that can be more general than the BPT on horizon. This is valid for all regular metrics, irrespective of the extremality of the horizon. We analyze and classify the possible relations between the three characteristics and discuss the nature and features of the underlying singular boost. The three Petrov types can be the same only for space-times of PT D and O off-horizon. The mutual alignment of principal null directions and the generator in the vicinity of the horizon is studied in detail. As an example, we also analyze a special class of metrics with utra-extremal horizons (for which the regularity conditions look different from the general case) and compare their off-horizon and on-horizon algebraic structure in both frames.

  9. Gas Chromatography Data Classification Based on Complex Coefficients of an Autoregressive Model

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhao, Weixiang; Morgan, Joshua T.; Davis, Cristina E.

    2008-01-01

    This paper introduces autoregressive (AR) modeling as a novel method to classify outputs from gas chromatography (GC). The inverse Fourier transformation was applied to the original sensor data, and then an AR model was applied to transform data to generate AR model complex coefficients. This series of coefficients effectively contains a compressed version of all of the information in the original GC signal output. We applied this method to chromatograms resulting from proliferating bacteria species grown in culture. Three types of neural networks were used to classify the AR coefficients: backward propagating neural network (BPNN), radial basis function-principal component analysismore » (RBF-PCA) approach, and radial basis function-partial least squares regression (RBF-PLSR) approach. This exploratory study demonstrates the feasibility of using complex root coefficient patterns to distinguish various classes of experimental data, such as those from the different bacteria species. This cognition approach also proved to be robust and potentially useful for freeing us from time alignment of GC signals.« less

  10. SO/sub 2/ dose-response sensitivity classification data for crops and natural vegetation species

    SciTech Connect (OSTI)

    Irving, P.M.; Ballou, S.W.

    1980-09-01

    Over the past several years studies have been made on the interaction of sulfur dioxide (SO/sub 2/) and vegetation by performing field research and by developing analytical procedures for applying field observation data to energy impact assessments. As a result of this work, numerous reports have been prepared on crop-pollutant interactions, such as dose-response data; on the applications of such data to screening approaches for identifying crops at risk; and on models that predict crop yield reductions from point source emissions of SO/sub 2/. Data that were used for these studies, such as the crop-at-risk screening procedure, are presented in this report. Maps are also presented that show the national distribution of SO/sub 2/-sensitive crops and natural vegetation.

  11. Automated Thermal Image Processing for Detection and Classification of Birds and Bats - FY2012 Annual Report

    SciTech Connect (OSTI)

    Duberstein, Corey A.; Matzner, Shari; Cullinan, Valerie I.; Virden, Daniel J.; Myers, Joshua R.; Maxwell, Adam R.

    2012-09-01

    Surveying wildlife at risk from offshore wind energy development is difficult and expensive. Infrared video can be used to record birds and bats that pass through the camera view, but it is also time consuming and expensive to review video and determine what was recorded. We proposed to conduct algorithm and software development to identify and to differentiate thermally detected targets of interest that would allow automated processing of thermal image data to enumerate birds, bats, and insects. During FY2012 we developed computer code within MATLAB to identify objects recorded in video and extract attribute information that describes the objects recorded. We tested the efficiency of track identification using observer-based counts of tracks within segments of sample video. We examined object attributes, modeled the effects of random variability on attributes, and produced data smoothing techniques to limit random variation within attribute data. We also began drafting and testing methodology to identify objects recorded on video. We also recorded approximately 10 hours of infrared video of various marine birds, passerine birds, and bats near the Pacific Northwest National Laboratory (PNNL) Marine Sciences Laboratory (MSL) at Sequim, Washington. A total of 6 hours of bird video was captured overlooking Sequim Bay over a series of weeks. An additional 2 hours of video of birds was also captured during two weeks overlooking Dungeness Bay within the Strait of Juan de Fuca. Bats and passerine birds (swallows) were also recorded at dusk on the MSL campus during nine evenings. An observer noted the identity of objects viewed through the camera concurrently with recording. These video files will provide the information necessary to produce and test software developed during FY2013. The annotation will also form the basis for creation of a method to reliably identify recorded objects.

  12. The role of trace impurities in classification of in-core reactor components. Final report

    SciTech Connect (OSTI)

    Luksic, A.T.; Pauley, K.A.; Reid, B.d.

    1993-08-01

    Low-level radioactive waste is classified into three distinct categories under Title 10 of the Code of Federal Regulations Part 61 (10CFR61). These categories, Class A, B, and C, are determined by the concentrations of specified radionuclides, with Class C being the most restrictive. Waste which is determined to exceed the Class C limits is referred to as Greater Than Class C (GTCC) and is generally deemed to be unacceptable for disposal in a shallow land burial site. Under the Low-Level Waste Policy Act Amendments of 1985 (Public Law 99-240), the responsibility for disposal of waste classified as GTCC rests with the US government. To provide a better understanding of the elemental constituents that are present in nuclear fuel related materials, 41 samples of unirradiated materials used in the manufacture of fuel assembly hardware and nonfuel assembly components were obtained and analyzed. Particular emphasis was placed on evaluating the concentration of niobium in Zircaloy. The results of this work indicate that insignificant amounts of niobium are found in the current generation of Zircaloy. However, the reason for the inconsistency between the trace amounts of elemental niobium (<10 ppM) observed in the current analysis and the significant amounts (>100 ppM) that were observed in the previous analysis has not been identified.

  13. A review on biomass classification and composition, cofiring issues and pretreatment methods

    SciTech Connect (OSTI)

    Jaya Shankar Tumuluru; Shahab Sokhansanj; Christopher T. Wright; Richard D. Boardman

    2011-08-01

    Presently around the globe there is a significant interest in using biomass for power generation as power generation from coal continues to raise environmental concerns. Biomass alone can be used for generation of power which can bring lot of environmental benefits. However the constraints of using biomass alone can include high investments costs for biomass feed systems and also uncertainty in the security of the feedstock supply due to seasonal variations and in most of the countries biomass is dispersed and the infrastructure for biomass supply is not well established. Alternatively cofiring biomass along with coal offer advantages like (a) reducing the issues related to biomass quality and buffers the system when there is insufficient feedstock quantity and (b) costs of adapting the existing coal power plants will be lower than building new systems dedicated only to biomass. However with the above said advantages there exists some technical constrains including low heating and energy density values, low bulk density, lower grindability index, higher moisture and ash content to successfully cofire biomass with coal. In order to successfully cofire biomass with coal, biomass feedstock specifications need to be established to direct pretreatment options that may include increasing the energy density, bulk density, stability during storage and grindability. Impacts on particle transport systems, flame stability, pollutant formation and boiler tube fouling/corrosion must also be minimized by setting feedstock specifications including composition and blend ratios if necessary. Some of these limitations can be overcome by using pretreatment methods. This paper discusses the impact of feedstock pretreatment methods like sizing, baling, pelletizing, briquetting, washing/leaching, torrefaction, torrefaction and pelletization and steam explosion in attainment of optimum feedstock characteristics to successfully cofire biomass with coal.

  14. How to Find More Supernovae with Less Work: Object ClassificationTechn...

    Office of Scientific and Technical Information (OSTI)

    to difference images in the context of the Nearby SupernovaFactory supernova search. Most current supernova searches subtractreference images from new images,...

  15. Automatic Generation of Data Types for Classification of Deep Web Sources

    SciTech Connect (OSTI)

    Ngu, A H; Buttler, D J; Critchlow, T J

    2005-02-14

    A Service Class Description (SCD) is an effective meta-data based approach for discovering Deep Web sources whose data exhibit some regular patterns. However, it is tedious and error prone to create an SCD description manually. Moreover, a manually created SCD is not adaptive to the frequent changes of Web sources. It requires its creator to identify all the possible input and output types of a service a priori. In many domains, it is impossible to exhaustively list all the possible input and output data types of a source in advance. In this paper, we describe machine learning approaches for automatic generation of the data types of an SCD. We propose two different approaches for learning data types of a class of Web sources. The Brute-Force Learner is able to generate data types that can achieve high recall, but with low precision. The Clustering-based Learner generates data types that have a high precision rate, but with a lower recall rate. We demonstrate the feasibility of these two learning-based solutions for automatic generation of data types for citation Web sources and presented a quantitative evaluation of these two solutions.

  16. ASTEROSEISMIC CLASSIFICATION OF STELLAR POPULATIONS AMONG 13,000 RED GIANTS OBSERVED BY KEPLER

    SciTech Connect (OSTI)

    Stello, Dennis; Bedding, Timothy R.; Benomar, Othman; White, Timothy R.; Huber, Daniel; Bildsten, Lars; Paxton, Bill; Elsworth, Yvonne P.; Gilliland, Ronald L.; Mosser, Benoit

    2013-03-10

    Of the more than 150,000 targets followed by the Kepler Mission, about 10% were selected as red giants. Due to their high scientific value, in particular for Galaxy population studies and stellar structure and evolution, their Kepler light curves were made public in late 2011. More than 13,000 (over 85%) of these stars show intrinsic flux variability caused by solar-like oscillations making them ideal for large-scale asteroseismic investigations. We automatically extracted individual frequencies and measured the period spacings of the dipole modes in nearly every red giant. These measurements naturally classify the stars into various populations, such as the red giant branch, the low-mass (M/M{sub Sun} {approx}< 1.8) helium-core-burning red clump, and the higher-mass (M/M{sub Sun} {approx}> 1.8) secondary clump. The period spacings also reveal that a large fraction of the stars show rotationally induced frequency splittings. This sample of stars will undoubtedly provide an extremely valuable source for studying the stellar population in the direction of the Kepler field, in particular when combined with complementary spectroscopic surveys.

  17. Classification of Superdeformed Bands in the Mass A{approx}60 Region

    SciTech Connect (OSTI)

    Andersson, L.-L.; Rudolph, D.; Fahlander, C.; Johansson, E. K.; Carlsson, B. G.; Ragnarsson, I.; Torres, D. A.

    2008-11-11

    The experimental knowledge of the {sub 29}{sup 61}Cu{sub 32} and {sub 30}{sup 61}Zn{sub 31} nuclei has been largely extended via the joint results from three experiments. The fusion-evaporation reaction used a {sup 36}Ar beam and a {sup 28}Si target foil to produce the two nuclei via the evaporation of either three protons ({sup 61}Cu) or two protons and a neutron ({sup 61}Zn). The experimental set-ups comprised the Ge-array GAMMASPHERE as well as neutron and charged-particle detectors placed around the target position.The resulting level schemes include around ten rotational superdeformed structures in each isotope. Most of them are linked to normally deformed states and in many cases spins and parities of the low-lying states in each structure have been determined.The collective structures are compared with results from configuration dependent Cranked Nilsson-Strutinsky calculations. The different structures are in general well understood from the calculation but the results do also suggest modifications of the standard Nilsson parameters in the mass A{approx}60 region.

  18. Bayesian probabilistic model for life prediction and fault mode classification of solid state luminaires

    SciTech Connect (OSTI)

    Lall, Pradeep [Auburn Univ., Auburn, AL (United States); Wei, Junchao [Auburn Univ., Auburn, AL (United States); Sakalaukus, Peter [Auburn Univ., Auburn, AL (United States)

    2014-06-22

    A new method has been developed for assessment of the onset of degradation in solid state luminaires to classify failure mechanisms by using metrics beyond lumen degradation that are currently used for identification of failure. Luminous Flux output, Correlated Color Temperature Data on Philips LED Lamps has been gathered under 85C/85%RH till lamp failure. Failure modes of the test population of the lamps have been studied to understand the failure mechanisms in 85C/85%RH accelerated test. Results indicate that the dominant failure mechanism is the discoloration of the LED encapsulant inside the lamps which is the likely cause for the luminous flux degradation and the color shift. The acquired data has been used in conjunction with Bayesian Probabilistic Models to identify luminaires with onset of degradation much prior to failure through identification of decision boundaries between lamps with accrued damage and lamps beyond the failure threshold in the feature space. In addition luminaires with different failure modes have been classified separately from healthy pristine luminaires. The ?-? plots have been used to evaluate the robustness of the proposed methodology. Results show that the predicted degradation for the lamps tracks the true degradation observed during 85C/85%RH during accelerated life test fairly closely within the 20% confidence bounds. Correlation of model prediction with experimental results indicates that the presented methodology allows the early identification of the onset of failure much prior to development of complete failure distributions and can be used for assessing the damage state of SSLs in fairly large deployments. It is expected that, the new prediction technique will allow the development of failure distributions without testing till L70 life for the manifestation of failure.

  19. NEC Hazardous classification and compliance regarding the surface moisture monitor measurement system

    SciTech Connect (OSTI)

    Bussell, J.H., WHC

    1996-06-12

    The National Electrical Code, NFPA 70, and National Fire Protection Association requirements for use of Surface Moisture Monitor Systems in classified locations are discussed. The design and configuration of the surface moisture monitor are analyzed with respect to how they comply with requirements of the National Electrical Code requirements, articles 500-504.

  20. On exact statistics and classification of ergodic systems of integer dimension

    SciTech Connect (OSTI)

    Guralnik, Zachary Guralnik, Gerald; Pehlevan, Cengiz

    2014-06-01

    We describe classes of ergodic dynamical systems for which some statistical properties are known exactly. These systems have integer dimension, are not globally dissipative, and are defined by a probability density and a two-form. This definition generalizes the construction of Hamiltonian systems by a Hamiltonian and a symplectic form. Some low dimensional examples are given, as well as a discretized field theory with a large number of degrees of freedom and a local nearest neighbor interaction. We also evaluate unequal-time correlations of these systems without direct numerical simulation, by Pad approximants of a short-time expansion. We briefly speculate on the possibility of constructing chaotic dynamical systems with non-integer dimension and exactly known statistics. In this case there is no probability density, suggesting an alternative construction in terms of a Hopf characteristic function and a two-form.

  1. Microsoft PowerPoint - Marchand_ARM_STM_2008_Poster_Classification_II.ppt

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

    States A Comparison of Simulated Hydrometeor Occurrence Profiles from t A Comparison of Simulated Hydrometeor Occurrence Profiles from the he Multiscale Multiscale Modeling Modeling Framework (MMF) with ARM observations as a Function of the Large Framework (MMF) with ARM observations as a Function of the Large- -Scale Atmospheric State Scale Atmospheric State Roger Marchand and Thomas Ackerman (University of Washington/JISAO), Nathaniel Beagley (Pacific Northwest National Laboratory) Comparison

  2. How to Find More Supernovae with Less Work: Object ClassificationTechn...

    Office of Scientific and Technical Information (OSTI)

    reject objects such as cosmic rays,asteroids, and subtraction artifacts. Although most static objectssubtract cleanly, even a very low false positive detection rate can leadto...

  3. DRAFT-DOE O 325.2, Position Management and Classification

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    The Order establishes Departmental requirements and responsibilities for classifying positions using the General Schedule (GS) and the Federal Wage System (FWS) standards.

  4. Classification Bulletin GEN-16, Revision 2, No Comment Poly on Classified Information in the Open Literature

    Office of Environmental Management (EM)

  5. SU-E-J-125: Classification of CBCT Noises in Terms of Their Contribution to Proton Range Uncertainty

    SciTech Connect (OSTI)

    Brousmiche, S; Orban de Xivry, J; Macq, B; Seco, J

    2014-06-01

    Purpose: This study assesses the potential use of CBCT images in adaptive protontherapy by estimating the contribution of the main sources of noise and calibration errors to the proton range uncertainty. Methods: Measurements intended to highlight each particular source have been achieved by adapting either the testbench configuration, e.g. use of filtration, fan-beam collimation, beam stop arrays, phantoms and detector reset light, or the sequence of correction algorithms including water precorrection. Additional Monte-Carlo simulations have been performed to complement these measurements, especially for the beam hardening and the scatter cases. Simulations of proton beams penetration through the resulting images have then been carried out to quantify the range change due to these effects. The particular case of a brain irradiation is considered mainly because of the multiple effects that the skull bones have on the internal soft tissues. Results: On top of the range error sources is the undercorrection of scatter. Its influence has been analyzed from a comparison of fan-beam and full axial FOV acquisitions. In this case, large range errors of about 12 mm can be reached if the assumption is made that the scatter has only a constant contribution over the projection images. Even the detector lag, which a priori induces a much smaller effect, has been shown to contribute for up to 2 mm to the overall error if its correction only aims at reducing the skin artefact. This last result can partially be understood by the larger interface between tissues and bones inside the skull. Conclusion: This study has set the basis of a more systematical analysis of the effect CBCT noise on range uncertainties based on a combination of measurements, simulations and theoretical results. With our method, even more subtle effects such as the cone-beam artifact or the detector lag can be assessed. SBR and JOR are financed by iMagX, a public-private partnership between the region Wallone of Belgium and IBA under convention #1217662.

  6. Rapid quantification and taxonomic classification of environmentalDNA from both prokaryotic and eukaryotic origins using a microarray

    SciTech Connect (OSTI)

    DeSantis, Todd Z.; Stone, Carol E.; Murray, Sonya R.; Moberg,Jordan P.; Andersen, Gary L.

    2005-02-22

    A microarray has been designed using 62,358 probes matched to both prokaryotic and eukaryotic small-subunit ribosomal RNA genes. The array categorized environmental DNA to specific phylogenetic clusters in under 9 h. To a background of DNA generated from natural outdoor aerosols, known quantities of rRNA gene copies from distinct organisms were added producing corresponding hybridization intensity scores that correlated well with their concentrations (r=0.917). Reproducible differences in microbial community composition were observed by altering the genomic DNA extraction method. Notably, gentle extractions produced peak intensities for Mycoplasmatales and Burkholderiales, whereas a vigorous disruption produced peak intensities for Vibrionales,Clostridiales, and Bacillales.

  7. SHORT VERSUS LONG AND COLLAPSARS VERSUS NON-COLLAPSARS: A QUANTITATIVE CLASSIFICATION OF GAMMA-RAY BURSTS

    SciTech Connect (OSTI)

    Bromberg, Omer; Piran, Tsvi; Sari, Re'em [Racah Institute of Physics, The Hebrew University, 91904 Jerusalem (Israel)] [Racah Institute of Physics, The Hebrew University, 91904 Jerusalem (Israel); Nakar, Ehud [The Raymond and Berverly Sackler School of Physics and Astronomy, Tel Aviv University, 69978 Tel Aviv (Israel)] [The Raymond and Berverly Sackler School of Physics and Astronomy, Tel Aviv University, 69978 Tel Aviv (Israel)

    2013-02-20

    Gamma-ray bursts (GRBs) are traditionally divided into long and short according to their durations (lg2 s). It was generally believed that this reflects a different physical origin: collapsars (long) and non-collapsars (short). We have recently shown that the duration distribution of collapsars is flat, namely, independent of the duration, at short durations. Using this model for the distribution of Collapsars we determine the duration distribution of non-Collapsars and estimate the probability that a burst with a given duration (and hardness) is a Collapsar or not. We find that this probability depends strongly on the spectral window of the observing detector. While the commonly used limit of 2 s is conservative and suitable for BATSE bursts, 40% of Swift's bursts shorter than 2 s are Collapsars and the division lg0.8 s is more suitable for Swift. We find that the duration overlap of the two populations is very large. On the one hand there is a non-negligible fraction of non-Collapsars longer than 10 s, while on the other hand even bursts shorter than 0.5 s in the Swift sample have a non-negligible probability to be Collapsars. Our results enable the construction of non-Collapsar samples while controlling the Collapsar contamination. They also highlight that no firm conclusions can be drawn based on a single burst and they have numerous implications concerning previous studies of non-Collapsar properties that were based on the current significantly contaminated Swift samples of localized short GRBs. Specifically (1) all known short bursts with z > 1 are most likely Collapsars; (2) the only short burst with a clear jet break is most likely a Collapsar, indicating our lack of knowledge concerning non-Collapsar beaming; and (3) the existence of non-Collapsars with durations up to 10 s imposes new challenges to non-Collapsar models.

  8. SPECTRAL CLASSIFICATION OF GALAXIES AT 0.5 {<=} z {<=} 1 IN THE CDFS: THE ARTIFICIAL NEURAL NETWORK APPROACH

    SciTech Connect (OSTI)

    Teimoorinia, H.

    2012-12-01

    The aim of this work is to combine spectral energy distribution (SED) fitting with artificial neural network techniques to assign spectral characteristics to a sample of galaxies at 0.5 < z < 1. The sample is selected from the spectroscopic campaign of the ESO/GOODS-South field, with 142 sources having photometric data from the GOODS-MUSIC catalog covering bands between {approx}0.4 and 24 {mu}m in 10-13 filters. We use the CIGALE code to fit photometric data to Maraston's synthesis spectra to derive mass, specific star formation rate, and age, as well as the best SED of the galaxies. We use the spectral models presented by Kinney et al. as targets in the wavelength interval {approx}1200-7500 A. Then a series of neural networks are trained, with average performance {approx}90%, to classify the best SED in a supervised manner. We consider the effects of the prominent features of the best SED on the performance of the trained networks and also test networks on the galaxy spectra of Coleman et al., which have a lower resolution than the target models. In this way, we conclude that the trained networks take into account all the features of the spectra simultaneously. Using the method, 105 out of 142 galaxies of the sample are classified with high significance. The locus of the classified galaxies in the three graphs of the physical parameters of mass, age, and specific star formation rate appears consistent with the morphological characteristics of the galaxies.

  9. Classification of Multiple Types of Organic Carbon Composition in Atmospheric Particles by Scanning Transmission X-Ray Microscopy Analysis

    SciTech Connect (OSTI)

    Kilcoyne, Arthur L; Takahama, S.; Gilardoni, S.; Russell, L.M.; Kilcoyne, A.L.D.

    2007-05-16

    A scanning transmission X-ray microscope at the Lawrence Berkeley National Laboratory is used to measure organic functional group abundance and morphology of atmospheric aerosols. We present a summary of spectra, sizes, and shapes observed in 595 particles that were collected and analyzed between 2000 and 2006. These particles ranged between 0.1 and 12 mm and represent aerosols found in a large range of geographical areas, altitudes, and times. They include samples from seven different field campaigns: PELTI, ACE-ASIA, DYCOMS II, Princeton, MILAGRO (urban), MILAGRO (C-130), and INTEX-B. At least 14 different classes of organic particles show different types of spectroscopic signatures. Different particle types are found within the same region while the same particle types are also found in different geographical domains. Particles chemically resembling black carbon, humic-like aerosols, pine ultisol, and secondary or processed aerosol have been identified from functional group abundance and comparison of spectra with those published in the literature.

  10. ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA

    SciTech Connect (OSTI)

    Simmons, Stuart F; Spycher, Nicolas; Sonnenthal, Eric; Dobson, Patrick

    2013-05-20

    This report summarizes the results of Phase I work for a go/no go decision on Phase II funding. In the first objective, we assessed the extent to which fluid-mineral equilibria controlled deep water compositions in geothermal systems across the Great Basin. Six systems were evaluated: Beowawe; Desert Peak; Dixie Valley; Mammoth; Raft River; Roosevelt. These represent a geographic spread of geothermal resources, in different geological settings and with a wide range of fluid compositions. The results were used for calibration/reformulation of chemical geothermometers that reflect the reservoir temperatures in producing reservoirs. In the second objective, we developed a reactive -transport model of the Desert Peak hydrothermal system to evaluate the processes that affect reservoir fluid geochemistry and its effect on solute geothermometry. This included testing geothermometry on reacted thermal water originating from different lithologies and from near-surface locations where the temperature is known from the simulation. The integrated multi-component geothermometer (GeoT, relying on computed mineral saturation indices) was tested against the model results and also on the systems studied in the first objective.

  11. Twentieth workshop on geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    1995-01-26

    PREFACE The Twentieth Workshop on Geothermal Reservoir Engineering, dedicated to the memory of Professor Hank Ramey, was held at Stanford University on January 24-26, 1995. There were ninety-five registered participants. Participants came from six foreign countries: Japan, Mexico, England, Italy, New Zealand and Iceland. The performance of many geothermal reservoirs outside the United States was described in several of the papers. Professor Roland N. Horne opened the meeting and welcomed visitors to the campus. The key note speaker was Marshall Reed, who gave a brief overview of the Department of Energy's current plan. Thirty-two papers were presented in the technical sessions of the workshop. Technical papers were organized into eleven sessions concerning: field development, modeling, well tesubore, injection, geoscience, geochemistry and field operations. Session chairmen were major contributors to the workshop, and we thank: Ben Barker, Bob Fournier, Mark Walters, John Counsil, Marcelo Lippmann, Keshav Goyal, Joel Renner and Mike Shook. In addition to the technical sessions, a panel discussion was held on ''What have we learned in 20 years?'' Panel speakers included Patrick Muffler, George Frye, Alfred Truesdell and John Pritchett. The subject was further discussed by Subir Sanyal, who gave the post-dinner speech at the banquet. The Workshop was organized by the Stanford Geothermal Program faculty, staff, and graduate students. We wish to thank our students who operated the audiovisual equipment. Shaun D. Fitzgerald Program Manager

  12. Cores from the Salton Sea scientific drilling program: Metamorphic reaction progress as a function of chemical and thermal environment: Final report

    SciTech Connect (OSTI)

    Papike, J.J.; Shearer, C.K.

    1987-05-13

    The study investigated the downhole progressive metamorphism at the Salton Sea site by monitoring and evaluating discontinuous and continuous metamorphic reactions. The main emphasis was placed on: (1) the addition of petrographic, geochemical, and mineralogical data to the Salton Sea data base; (2) determination of downhole reactions; (3) evaluation of the progress of individual continuous reaction (epsilon) and the overall reaction progress (epsilon/sub T/) during the transition from one metamorphic zone to the next; and (4) evaluation and correlation of mineral reactions and reaction progress with mineral phase and organic material geothermometry. To these ends, thirty-three samples from the Salton Sea core were analyzed for: (1) quantitative modal mineralogy using the x-ray diffraction reference intensity method (RIM), (2) 30 major and trace elements in the whole rock and (3) mineral chemistry and structural state. In addition, a subset of these samples were used for temperature determinations using vitrinite reflectivity.

  13. Investigations of low-temperature geothermal potential in New York State

    SciTech Connect (OSTI)

    Hodge, D.S.; De Rito, R.; Hifiker, K.; Morgan, P.; Swanberg, C.A.

    1981-09-01

    Temperature gradient map and published heat flow data indicate a possible potential for a geothermal resource in western and central New York State. A new analysis of bottom-hole temperature data for New York State confirms the existence of three positive gradient anomalies: the East Aurora, Cayuga, and Elmira anomalies, with gradients as high as 32/sup 0/C/km, 36/sup 0/C/km, and 36/sup 0/C/km, respectively. Ground waters from two of these anomalies are enriched in silica relative to surrounding areas. Heat flows based on silica geothermometry are 50 to 70 mWm/sup -2/ for the anomalies and 41.4 mWm/sup -2/ for bordering regional flux. A correlation between Bouguer gravity anomalies and the temperature gradient map suggests that the geothermal anomalies may occur above radioactive granites in the basement.

  14. Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis

    SciTech Connect (OSTI)

    Georgescu, Walter; Osseiran, Alma; Rojec, Maria; Liu, Yueyong; Bombrun, Maxime; Tang, Jonathan; Costes, Sylvain V.; Huen, Michael Shing-Yan

    2015-06-24

    Traditionally, the kinetics of DNA repair have been estimated using immunocytochemistry by labeling proteins involved in the DNA damage response (DDR) with fluorescent markers in a fixed cell assay. However, detailed knowledge of DDR dynamics across multiple cell generations cannot be obtained using a limited number of fixed cell time-points. Here we report on the dynamics of 53BP1 radiation induced foci (RIF) across multiple cell generations using live cell imaging of non-malignant human mammary epithelial cells (MCF10A) expressing histone H2B-GFP and the DNA repair protein 53BP1-mCherry. Using automatic extraction of RIF imaging features and linear programming techniques, we were able to characterize detailed RIF kinetics for 24 hours before and 24 hours after exposure to low and high doses of ionizing radiation. High-content-analysis at the single cell level over hundreds of cells allows us to quantify precisely the dose dependence of 53BP1 protein production, RIF nuclear localization and RIF movement after exposure to X-ray. Using elastic registration techniques based on the nuclear pattern of individual cells, we could describe the motion of individual RIF precisely within the nucleus. We show that DNA repair occurs in a limited number of large domains, within which multiple small RIFs form, merge and/or resolve with random motion following normal diffusion law. Large foci formation is shown to be mainly happening through the merging of smaller RIF rather than through growth of an individual focus. We estimate repair domain sizes of 7.5 to 11 m2 with a maximum number of ~15 domains per MCF10A cell. This work also highlights DDR which are specific to doses larger than 1 Gy such as rapid 53BP1 protein increase in the nucleus and foci diffusion rates that are significantly faster than for spontaneous foci movement. We hypothesize that RIF merging reflects a "stressed" DNA repair process that has been taken outside physiological conditions when too many DSB occur at once. High doses of ionizing radiation lead to RIF merging into repair domains which in turn increases DSB proximity and misrepair. Such finding may therefore be critical to explain the supralinear dose dependence for chromosomal rearrangement and cell death measured after exposure to ionizing radiation.

  15. Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Georgescu, Walter; Osseiran, Alma; Rojec, Maria; Liu, Yueyong; Bombrun, Maxime; Tang, Jonathan; Costes, Sylvain V.; Huen, Michael Shing-Yan

    2015-06-24

    Traditionally, the kinetics of DNA repair have been estimated using immunocytochemistry by labeling proteins involved in the DNA damage response (DDR) with fluorescent markers in a fixed cell assay. However, detailed knowledge of DDR dynamics across multiple cell generations cannot be obtained using a limited number of fixed cell time-points. Here we report on the dynamics of 53BP1 radiation induced foci (RIF) across multiple cell generations using live cell imaging of non-malignant human mammary epithelial cells (MCF10A) expressing histone H2B-GFP and the DNA repair protein 53BP1-mCherry. Using automatic extraction of RIF imaging features and linear programming techniques, we were ablemore » to characterize detailed RIF kinetics for 24 hours before and 24 hours after exposure to low and high doses of ionizing radiation. High-content-analysis at the single cell level over hundreds of cells allows us to quantify precisely the dose dependence of 53BP1 protein production, RIF nuclear localization and RIF movement after exposure to X-ray. Using elastic registration techniques based on the nuclear pattern of individual cells, we could describe the motion of individual RIF precisely within the nucleus. We show that DNA repair occurs in a limited number of large domains, within which multiple small RIFs form, merge and/or resolve with random motion following normal diffusion law. Large foci formation is shown to be mainly happening through the merging of smaller RIF rather than through growth of an individual focus. We estimate repair domain sizes of 7.5 to 11 µm2 with a maximum number of ~15 domains per MCF10A cell. This work also highlights DDR which are specific to doses larger than 1 Gy such as rapid 53BP1 protein increase in the nucleus and foci diffusion rates that are significantly faster than for spontaneous foci movement. We hypothesize that RIF merging reflects a "stressed" DNA repair process that has been taken outside physiological conditions when too many DSB occur at once. High doses of ionizing radiation lead to RIF merging into repair domains which in turn increases DSB proximity and misrepair. Furthermore, such finding may therefore be critical to explain the supralinear dose dependence for chromosomal rearrangement and cell death measured after exposure to ionizing radiation.« less

  16. Twenty-first workshop on geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    1996-01-26

    PREFACE The Twenty-First Workshop on Geothermal Reservoir Engineering was held at the Holiday Inn, Palo Alto on January 22-24, 1996. There were one-hundred fifty-five registered participants. Participants came from twenty foreign countries: Argentina, Austria, Canada, Costa Rica, El Salvador, France, Iceland, Indonesia, Italy, Japan, Mexico, The Netherlands, New Zealand, Nicaragua, the Philippines, Romania, Russia, Switzerland, Turkey and the UK. The performance of many geothermal reservoirs outside the United States was described in several of the papers. Professor Roland N. Horne opened the meeting and welcomed visitors. The key note speaker was Marshall Reed, who gave a brief overview of the Department of Energy's current plan. Sixty-six papers were presented in the technical sessions of the workshop. Technical papers were organized into twenty sessions concerning: reservoir assessment, modeling, geology/geochemistry, fracture modeling hot dry rock, geoscience, low enthalpy, injection, well testing, drilling, adsorption and stimulation. Session chairmen were major contributors to the workshop, and we thank: Ben Barker, Bobbie Bishop-Gollan, Tom Box, Jim Combs, John Counsil, Sabodh Garg, Malcolm Grant, Marcel0 Lippmann, Jim Lovekin, John Pritchett, Marshall Reed, Joel Renner, Subir Sanyal, Mike Shook, Alfred Truesdell and Ken Williamson. Jim Lovekin gave the post-dinner speech at the banquet and highlighted the exciting developments in the geothermal field which are taking place worldwide. The Workshop was organized by the Stanford Geothermal Program faculty, staff, and graduate students. We wish to thank our students who operated the audiovisual equipment. Shaun D. Fitzgerald Program Manager.

  17. Evolutionary conservation of sequence and secondary structures...

    Office of Scientific and Technical Information (OSTI)

    We also show that the repeat-based classification corresponds to, and expands upon, a previously reported CAS gene-based classification including specific relationships between ...

  18. WHO Statistical Information System (WHOSIS) | Open Energy Information

    Open Energy Info (EERE)

    Classification of Diseases (ICD-10), International Classification of Impairments, Disabilities and Handicaps (ICIDH) Links to other sources of health-related statistical...

  19. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and...

  20. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    to use automatic classification to identify some of the astronomical sources. The data mining technique of supervised classification is suitable for this problem. Here, we present...

  1. Pilfer

    Energy Science and Technology Software Center (OSTI)

    2005-06-06

    Extracts statistically regular temporal patterns from time-series data without human intervention for classification purposes.

  2. Jefferson Lab Human Resources

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

    Compensation Online Forms Salary Ranges Intern Rates Classification Matrices Annual Promotion Process TRC Membership Promotion Forms

  3. Ninth workshop on geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    Ramey, H.J. Jr.; Kruger, P.; Miller, F.G.; Horne, R.N.; Brigham, W.E.; Gudmundsson, J.S.

    1983-12-15

    The attendance at the Workshop was similar to last year's with 123 registered participants of which 22 represented 8 foreign countries. A record number of technical papers (about 60) were submitted for presentation at the Workshop. The Program Committee, therefore, decided to have several parallel sessions to accommodate most of the papers. This format proved unpopular and will not be repeated. Many of the participants felt that the Workshop lost some of its unique qualities by having parallel sessions. The Workshop has always been held near the middle of December during examination week at Stanford. This timing was reviewed in an open discussion at the Workshop. The Program Committee subsequently decided to move the Workshop to January. The Tenth Workshop will be held on January 22-24, 1985. The theme of the Workshop this year was ''field developments worldwide''. The Program Committee addressed this theme by encouraging participants to submit field development papers, and by inviting several international authorities to give presentations at the Workshop. Field developments in at least twelve countries were reported: China, El Salvador, France, Greece, Iceland, Italy, Japan, Kenya, Mexico, New Zealand, the Philippines, and the United States. There were 58 technical presentations at the Workshop, of which 4 were not made available for publication. Several authors submitted papers not presented at the Workshop. However, these are included in the 60 papers of these Proceedings. The introductory address was given by Ron Toms of the U.S. Department of Energy, and the banquet speaker was A1 Cooper of Chevron Resources Company. An important contribution was made to the Workshop by the chairmen of the technical sessions. Other than Stanford Geothermal Program faculty members, they included: Don White (Field Developments), Bill D'Olier (Hydrothermal Systems), Herman Dykstra (Well Testing), Karsten Pruess (Well Testing), John Counsil (Reservoir Chemistry), Malcolm Mossman (Reservoir Chemistry), Greg Raasch (Production), Manny Nathenson (Injection), Susan Petty (Injection), Subir Sanyal (Simulation), Marty Molloy (Petrothermal), and Allen Moench (Reservoir Physics). The Workshop was organized by the Stanford Geothermal Program faculty, staff and students. We would like to thank Jean Cook, Joanne Hartford, Terri Ramey, Amy Osugi, and Marilyn King for their valued help with the Workshop arrangements and the Proceedings. We also owe thanks to the program students who arranged and operated the audio-visual equipment. The Ninth Workshop was supported by the Geothermal and Hydropower Technologies Division of the U . S . Department of Energy through contract DE-AT03-80SF11459. We deeply appreciate this continued support. H. J. Ramey, Jr., R. N. Horne, P. Kruger, W. E. Brigham, F. G. Miller, J. S . Gudmundsson -vii

  4. Thirteenth workshop on geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    Ramey, H.J. Jr.; Kruger, P.; Horne, R.N.; Brigham, W.E.; Miller, F.G.; Cook, J.W.

    1988-01-21

    PREFACE The Thirteenth Workshop on Geothermal Reservoir Engineering was held at Stanford University on January 19-21, 1988. Although 1987 continued to be difficult for the domestic geothermal industry, world-wide activities continued to expand. Two invited presentations on mature geothermal systems were a keynote of the meeting. Malcolm Grant presented a detailed review of Wairakei, New Zealand and highlighted plans for new development. G. Neri summarized experience on flow rate decline and well test analysis in Larderello, Italy. Attendance continued to be high with 128 registered participants. Eight foreign countries were represented: England, France, Iceland, Italy, New Zealand, Japan, Mexico and The Philippines. A discussion of future workshops produced a strong recommendation that the Stanford Workshop program continue for the future. There were forty-one technical presentations at the Workshop. All of these are published as papers in this Proceedings volume. Four technical papers not presented at the Workshop are also published. In addition to these forty five technical presentations or papers, the introductory address was given by Henry J. Ramey, Jr. from the Stanford Geothermal Program. The Workshop Banquet speaker was Gustavo Calderon from the Inter-American Development Bank. We thank him for sharing with the Workshop participants a description of the Bank???s operations in Costa Rica developing alternative energy resources, specifically Geothermal, to improve the country???s economic basis. His talk appears as a paper in the back of this volume. The chairmen of the technical sessions made an important contribution to the workshop. Other than Stanford faculty members they included: J. Combs, G. T. Cole, J. Counsil, A. Drenick, H. Dykstra, K. Goyal, P. Muffler, K. Pruess, and S. K. Sanyal. The Workshop was organized by the Stanford Geothermal Program faculty, staff and students. We would like to thank Marilyn King, Pat Oto, Terri Ramey, Bronwyn Jones, Yasmin Gulamani, and Rosalee Benelli for their valued help with the meeting arrangements and preparing the Proceedings. We also owe great thanks to our students who arranged and operated the audio-visual equipment, especially Jeralyn Luetkehans. The Thirteenth Workshop was supported by the Geothermal Technology Division of the U.S. Department of Energy through Contract No. DE-AS07-84ID12529. We deeply appreciate this continued support. Henry J. Ramey, Jr. Paul Kruger Roland N. Horne William E. Brigham Frank G. Miller Jean W. Cook

  5. The low temperature hydrothermal system of Campiglia, Tuscany (Italy); A geochemical approach

    SciTech Connect (OSTI)

    Celati, R.; Grassi, S.; D'Amore, F.; Marcolini, L. )

    1991-01-01

    This paper reports on the Campiglia hydrothermal system which is a low temperature hydrothermal system located in southwestern Tuscany, a region of Italy characterized by intense geothermal activity and by the presence of high temperature exploited geothermal reservoirs. Six water-points, with temperatures ranging between 20 and 47{degrees} C and different chemical and isotopic compositions, are found close to the margins of outcrops of the main regional aquifer formation. Systematic hydrogeological, geochemical and isotopic observations and temperature measurements were carried out on the different springs and wells for a period of three years (1984-1986). Constant water characteristics with time were observed in four water-points; two wells had variable trends depending on mixing processes. A groundwater circulation model characterized by flowpaths of different length and depth is suggested by the variety of chemical and isotopic characteristics and is consistent with geothermometry, which indicates temperatures up to 25{degrees} C higher than those measured at the spring emergencies. An important water supply to the system comes from local recharge, although regional circulation may also be present, particularly in the eastern part of the investigated area.

  6. Geology of the Pavana geothermal area, Departamento de Choluteca, Honduras, Central America: Field report

    SciTech Connect (OSTI)

    Eppler, D.B.; Heiken, G.; Wohletz, K.; Flores, W.; Paredes, J.R.; Duffield, W.A.

    1987-09-01

    The Pavana geothermal area is located in southern Honduras near the Gulf of Fonseca. This region is underlain by late Tertiary volcanic rocks. Within ranges near the geothermal manifestations, the rock sequences is characterized by intermediate to mafic laharic breccias and lavas overlain by silicic tuffs and lavas, which are in turn overlain by intermediate to mafic breccias, lavas, and tuffs. The nearest Quaternary volcanoes are about 40 km to the southwest, where the chain of active Central American volcanoes crosses the mouth of the Gulf of Fonseca. Structure of the Pavana area is dominated by generally northwest-trending, southwest-dipping normal faults. This structure is topographically expressed as northwest-trending escarpments that bound blocks of bedrock separated by asymmetric valleys that contain thin alluvial deposits. Thermal waters apparently issue from normal faults and are interpreted as having been heated during deep circulation along fault zones within a regional environment of elevated heat flow. Natural outflow from the main thermal area is about 3000 l/min of 60/sup 0/C water. Geothermometry of the thermal waters suggests a reservoir base temperature of about 150/sup 0/C.

  7. Alum Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    2010-01-01

    Data generated from the Alum Innovative Exploration Project, one of several promising geothermal properties located in the middle to upper Miocene (~11-5 Ma, or million years BP) Silver Peak-Lone Mountain metamorphic core complex (SPCC) of the Walker Lane structural belt in Esmeralda County, west-central Nevada. The geothermal system at Alum is wholly concealed; its upper reaches discovered in the late 1970s during a regional thermal-gradient drilling campaign. The prospect boasts several shallow thermal-gradient (TG) boreholes with TG >75oC/km (and as high as 440oC/km) over 200-m intervals in the depth range 0-600 m. Possibly boiling water encountered at 239 m depth in one of these boreholes returned chemical- geothermometry values in the range 150-230oC. GeothermEx (2008) has estimated the electrical- generation capacity of the current Alum leasehold at 33 megawatts for 20 years; and the corresponding value for the broader thermal anomaly extending beyond the property at 73 megawatts for the same duration.

  8. Derivation and calibration of semi-empirical gas geothermometers for Mahanagdong Geothermal Project, Philippines

    SciTech Connect (OSTI)

    Sanchez, D.R.

    1996-12-31

    The dissolved CO{sub 2}, H{sub 2}S, and H{sub 2} gases in Mahanagdong aquifer fluids are controlled by specific gas-mineral equilibria. At temperature range of 250 to 310 {degrees}C, CO{sub 2} is buffered by clinozoisite + K-feldspar + calcite + muscovite (illite) + quartz mineral assemblage. For H{sub 2}S and H{sub 2} dissolved gases, they are more likely buffered by pyrrhotite + pyrite + magnetite mineral assemblage at similar temperature range. Calibration of five Mahanagdong (MG) gas geothermometers is presented, three of which used CO{sub 2}, H{sub 2}S, and H{sub 2} concentration in steam. The remaining two use CO{sub 2}/H{sub 2} and H{sub 2}S/H{sub 2} ratios. The calibration is based on the relation between gas content of drillhole discharges and measured aquifer temperatures. After establishing the gas content in the aquifer, gas concentrations were computed in steam after adiabatic boiling to atmospheric condition (100 {degrees}C), to obtain gas geothermometry functions. These functions could also be used in evaluating fraction of steam condensation and temperature of phase separation. A demonstration given the Mahanagdong fumarole data, indicates that there is generally a fair relation between computed temperatures using Mahanagdong gas geothermometers and the actual field trend`s temperatures.

  9. Dating thermal events at Cerro Prieto using fission-track annealing

    SciTech Connect (OSTI)

    Sanford, S.J.; Elders, W.A.

    1981-01-01

    The duration of heating in the Cerro Prieto reservoir was estimated by relating the fading of spontaneous fission tracks in detrital apatite to observed temperatures. The rate of fading is a function of both time and temperature. The apparent fission track age of the detrital apatites then, is a function of both their source age and their time-temperature history. Data from laboratory experiments and geologic fading studies were compiled from published sources to produce lines of iso-annealing for apatite in time-temperature space. Fission track ages were calculated for samples from two wells at Cerro Prieto, one with an apparently simple and one with an apparently complex thermal history. Temperatures were estimated by empirical vitrinite reflectance geothermometry, fluid inclusion homogenization and oxygen isotope equilibrium. These estimates were compared with logs of measured borehole temperatures. The temperature in well T-366, where complete annealing first occurs, was estimated to be between 160 and 180{sup 0}C. Complete annealing at these temperatures requires 10{sup 4} and 10{sup 3} years, respectively. Well M-94 has an apparently complex thermal history. Geothermometers in this well indicate temperatures some 50 to 100{sup 0}C higher than those measured directly in the borehole. Fission tracks are partially preserved in M-94 where paleotemperatures were as high as 200{sup 0}C and are erased where geothermometers indicate temperatures of 250{sup 0}C. This implies a thermal event less than 10{sup 1} years and greater than 10{sup 0} years in duration.

  10. Alum Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    Data generated from the Alum Innovative Exploration Project, one of several promising geothermal properties located in the middle to upper Miocene (~11-5 Ma, or million years BP) Silver Peak-Lone Mountain metamorphic core complex (SPCC) of the Walker Lane structural belt in Esmeralda County, west-central Nevada. The geothermal system at Alum is wholly concealed; its upper reaches discovered in the late 1970s during a regional thermal-gradient drilling campaign. The prospect boasts several shallow thermal-gradient (TG) boreholes with TG >75oC/km (and as high as 440oC/km) over 200-m intervals in the depth range 0-600 m. Possibly boiling water encountered at 239 m depth in one of these boreholes returned chemical- geothermometry values in the range 150-230oC. GeothermEx (2008) has estimated the electrical- generation capacity of the current Alum leasehold at 33 megawatts for 20 years; and the corresponding value for the broader thermal anomaly extending beyond the property at 73 megawatts for the same duration.

  11. Geothermal Geodatabase for Wagon Wheel Hot Springs, Mineral County, Colorado

    SciTech Connect (OSTI)

    Zehner, Richard

    2012-11-01

    Geothermal Geodatabase for Wagon Wheel Hot Springs, Mineral County, Colorado By Richard Rick Zehner Geothermal Development Associates Reno Nevada USA 775.737.7806 rzehner@gdareno.com For Flint Geothermal LLC, Denver Colorado Part of DOE Grant EE0002828 2013 This is an ESRI geodatabase version 10, together with an ESRI MXD file version 10.2 Data is in UTM Zone 13 NAD27 projection North boundary: approximately 4,189,000 South boundary: approximately 4,170,000 West boundary: approximately 330,000 East boundary: approximately 351,000 This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs at Wagon Wheel Gap have geochemistry and geothermometry values indicative of high-temperature systems. The datasets in the geodatabase are a mixture of public domain data as well as data collected by Flint Geothermal, now being made public. It is assumed that the user has internet access, for the mxd file accesses ESRIs GIS servers. Datasets include: 1. Results of reconnaissance shallow (2 meter) temperature surveys 2. Air photo lineaments 3. Groundwater geochemistry 4. Power lines 5. Georeferenced geologic map of Routt County 6. Various 1:24,000 scale topographic maps

  12. Geothermal Geodatabase for Routt Hot Springs, Routt County, Colorado

    SciTech Connect (OSTI)

    Zehner, Richard

    2012-11-01

    Geothermal Geodatabase for Routt Hot Springs, Routt County, Colorado By Richard Rick Zehner Geothermal Development Associates Reno Nevada USA 775.737.7806 rzehner@gdareno.com For Flint Geothermal LLC, Denver Colorado Part of DOE Grant EE0002828 2013 This is an ESRI geodatabase version 10, together with an ESRI MXD file version 10.2 Data is in UTM Zone 13 NAD27 projection North boundary: approximately 4,500,000 South boundary: approximately 4,480,000 West boundary: approximately 330,000 East boundary: approximately 358,000 This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs and wells in the Routt Hot Spring and Steamboat Springs areahave geochemistry and geothermometry values indicative of high-temperature systems. The datasets in the geodatabase are a mixture of public domain data as well as data collected by Flint Geothermal, now being made public. It is assumed that the user has internet access, for the mxd file accesses ESRIs GIS servers. Datasets include: 1. Results of reconnaissance shallow (2 meter) temperature surveys 2. Air photo lineaments 3. Groundwater geochemistry 5. Georeferenced geologic map of Routt County 6. Various 1:24,000 scale topographic maps

  13. OpenEI:Projects/Improvements Oil and Gas | Open Energy Information

    Open Energy Info (EERE)

    2 Oil | General Classification 3 Oil | Uses 3.1 Fuels 3.2 Derivatives 3.3 Agriculture 4 Natural Gas | Energy Basics 5 Natural Gas | General Classification 5.1 Biogas 6 Natural...

  14. ATTACHMENT F PAST PERFORMANCE QUESTIONNAIRE

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

    ... to maintain safeguards and security programs including counterintelligence, physical security, protection of property and information; classification and declassification of ...

  15. Student Spotlight

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

    Czapla Nick Czapla Project Name: Image Analysis Classification algorithm to automatically classify NIF optics damage sites Project Description: Develop a classification system of potential damage sites on the NIF Final Optics based on the sites' morphology (i.e., shape, color, size, roughness of edges, etc.) and automate the classification process using a wavelet transformation algorithm, called the Image Analysis Classification (IAC), written by Wim deVries. The project includes the manual

  16. Inspection Report: DOE/IG-0904 | Department of Energy

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

    Inspection Report: DOE/IG-0904 Inspection Report: DOE/IG-0904 March 27, 2014 Review of Controls Over the Department's Classification of National Security Information The Department of Energy handles and manages a broad spectrum of classified information, including National Security Information (NSI). The Office of Health, Safety and Security's Office of Classification, manages the Department-wide classification program and establishes policies to conform with Federal classification requirements.

  17. Inspection Report: DOE/IG-0904 | Department of Energy

    Energy Savers [EERE]

    904 Inspection Report: DOE/IG-0904 March 27, 2014 Review of Controls Over the Department's Classification of National Security Information The Department of Energy handles and manages a broad spectrum of classified information, including National Security Information (NSI). The Office of Health, Safety and Security's Office of Classification, manages the Department-wide classification program and establishes policies to conform with Federal classification requirements. Implementation of

  18. The Department of Energy's National Security Information Fundamental

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

    Classification Guidance Review | Department of Energy The Department of Energy's National Security Information Fundamental Classification Guidance Review The Department of Energy's National Security Information Fundamental Classification Guidance Review The goals of this review process was to evaluate the guidance content, determine if the guidance conforms to current operational and technical circumstances, determine if the guidance meets the standards for classification under section 1.4

  19. A Lesson Learned on Determination of Radionuclides on Metal Surface Fixed Contamination

    SciTech Connect (OSTI)

    MEZNARICH, H.K.

    2000-02-01

    A Measurement of fixed surface contamination required to determine classification as low-level or as transuranic waste.

  20. Workforce Analysis and Staffing | Department of Energy

    Office of Environmental Management (EM)

    Technical Capability Program (FTCP) Accident Investigation Reports Nuclear Safety Facility Safety Security Classification Databases Dashboards DOE Technical Standards Program...

  1. FTCP Quarterly Indicator Reports | Department of Energy

    Energy Savers [EERE]

    Technical Capability Program (FTCP) Accident Investigation Reports Nuclear Safety Facility Safety Security Classification Databases Dashboards DOE Technical Standards Program...

  2. ARM - Measurement - Soil characteristics

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

    Measurement : Soil characteristics Includes available water capacity, bulk density, permeability, porosity, rock fragment classification, rock fragment volume, percent clay,...

  3. Final Scientific/Technical Report – DE-EE0002960 Recovery Act. Detachment faulting and Geothermal Resources - An Innovative Integrated Geological and Geophysical Investigation of Pearl Hot Spring, Nevada

    SciTech Connect (OSTI)

    Stockli, Daniel F.

    2015-11-30

    The Pearl Host Spring Geothermal Project funded by the DoE Geothermal Program was a joint academic (KU/UT & OU) and industry collaboration (Sierra and Ram Power) to investigate structural controls and the importance of low-angle normal faults on geothermal fluid flow through a multifaceted geological, geophysical, and geochemical investigation in west-central Nevada. The study clearly showed that the geothermal resources in Clayton Valley are controlled by the interplay between low-angle normal faults and active deformation related to the Walker Lane. The study not only identified potentially feasible blind geothermal resource plays in eastern Clayton Valley, but also provide a transportable template for exploration in the area of west-central Nevada and other regional and actively-deforming releasing fault bends. The study showed that deep-seated low-angle normal faults likely act as crustal scale permeability boundaries and could play an important role in geothermal circulation and funneling geothermal fluid into active fault zones. Not unique to this study, active deformation is viewed as an important gradient to rejuvenated fracture permeability aiding the long-term viability of blind geothermal resources. The technical approach for Phase I included the following components, (1) Structural and geological analysis of Pearl Hot Spring Resource, (2) (U-Th)/He thermochronometry and geothermometry, (3) detailed gravity data and modeling (plus some magnetic and resistivity), (4) Reflection and Refraction Seismic (Active Source), (5) Integration with existing and new geological/geophysical data, and (6) 3-D Earth Model, combining all data in an innovative approach combining classic work with new geochemical and geophysical methodology to detect blind geothermal resources in a cost-effective fashion.

  4. Silver Peak Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    2010-01-01

    Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a “deep-circulation (amagmatic)” meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich brines from which have been mined for several decades). Spring- and shallow-borehole thermal-water geochemistry and geothermometry suggest that a Silver Peak geothermal reservoir is very likely to attain the temperature range 260- 300oF (~125-150oC), and may reach 300-340oF (~150-170oC) or higher (GeothermEx, Inc., 2006). Results of detailed geologic mapping, structural analysis, and conceptual modeling of the prospect (1) support the GeothermEx (op. cit.) assertion that the Silver Peak prospect has good potential for geothermal-power production; and (2) provide a theoretical geologic framework for further exploration and development of the resource. The Silver Peak prospect is situated in the transtensional (regional shearing coupled with extension) Walker Lane structural belt, and squarely within the late Miocene to Pliocene (11 Ma to ~5 Ma) Silver Peak-Lone Mountain metamorphic core complex (SPCC), a feature that accommodated initial displacement transfer between major right-lateral strike- slip fault zones on opposite sides of the Walker Lane. The SPCC consists essentially of a ductiley-deformed lower plate, or “core,” of Proterozoic metamorphic tectonites and tectonized Mesozoic granitoids separated by a regionally extensive, low-angle detachment fault from an upper plate of severely stretched and fractured structural slices of brittle, Proterozoic to Miocene-age lithologies. From a geothermal perspective, the detachment fault itself and some of the upper-plate structural sheets could function as important, if secondary, subhorizontal thermal-fluid aquifers in a Silver Peak hydrothermal system.

  5. Silver Peak Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    2010-01-01

    Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich brines from which have been mined for several decades). Spring- and shallow-borehole thermal-water geochemistry and geothermometry suggest that a Silver Peak geothermal reservoir is very likely to attain the temperature range 260- 300oF (~125-150oC), and may reach 300-340oF (~150-170oC) or higher (GeothermEx, Inc., 2006). Results of detailed geologic mapping, structural analysis, and conceptual modeling of the prospect (1) support the GeothermEx (op. cit.) assertion that the Silver Peak prospect has good potential for geothermal-power production; and (2) provide a theoretical geologic framework for further exploration and development of the resource. The Silver Peak prospect is situated in the transtensional (regional shearing coupled with extension) Walker Lane structural belt, and squarely within the late Miocene to Pliocene (11 Ma to ~5 Ma) Silver Peak-Lone Mountain metamorphic core complex (SPCC), a feature that accommodated initial displacement transfer between major right-lateral strike- slip fault zones on opposite sides of the Walker Lane. The SPCC consists essentially of a ductiley-deformed lower plate, or core, of Proterozoic metamorphic tectonites and tectonized Mesozoic granitoids separated by a regionally extensive, low-angle detachment fault from an upper plate of severely stretched and fractured structural slices of brittle, Proterozoic to Miocene-age lithologies. From a geothermal perspective, the detachment fault itself and some of the upper-plate structural sheets could function as important, if secondary, subhorizontal thermal-fluid aquifers in a Silver Peak hydrothermal system.

  6. Silver Peak Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich brines from which have been mined for several decades). Spring- and shallow-borehole thermal-water geochemistry and geothermometry suggest that a Silver Peak geothermal reservoir is very likely to attain the temperature range 260- 300oF (~125-150oC), and may reach 300-340oF (~150-170oC) or higher (GeothermEx, Inc., 2006). Results of detailed geologic mapping, structural analysis, and conceptual modeling of the prospect (1) support the GeothermEx (op. cit.) assertion that the Silver Peak prospect has good potential for geothermal-power production; and (2) provide a theoretical geologic framework for further exploration and development of the resource. The Silver Peak prospect is situated in the transtensional (regional shearing coupled with extension) Walker Lane structural belt, and squarely within the late Miocene to Pliocene (11 Ma to ~5 Ma) Silver Peak-Lone Mountain metamorphic core complex (SPCC), a feature that accommodated initial displacement transfer between major right-lateral strike- slip fault zones on opposite sides of the Walker Lane. The SPCC consists essentially of a ductiley-deformed lower plate, or core, of Proterozoic metamorphic tectonites and tectonized Mesozoic granitoids separated by a regionally extensive, low-angle detachment fault from an upper plate of severely stretched and fractured structural slices of brittle, Proterozoic to Miocene-age lithologies. From a geothermal perspective, the detachment fault itself and some of the upper-plate structural sheets could function as important, if secondary, subhorizontal thermal-fluid aquifers in a Silver Peak hydrothermal system.

  7. Origins of secondary silica within Yucca Mountain, Nye County, southwestern Nevada

    SciTech Connect (OSTI)

    Moscati, R.J.; Whelan, J.F.

    1996-09-01

    The accuracy of predictions of the hydrologic response of Yucca Mountain to future climate depends largely on how well relations between past climate and hydrology can be resolved. To advance this reconstruction, secondary minerals in and near Yucca Mountain, deposited by ground waters that originated both as surficial recharge at Yucca Mountain and from regional aquifers, are being studied to determine past ground-water sources and chemistries. Preliminary data on stable oxygen isotopes indicate that, although silica (opal, quartz, and chalcedony) and calcite and have formed in similar settings and from somewhat similar fluids, the authors have found no compelling evidence of coprecipitation or formation from identical fluids. If verified by further analyses, this precludes the use of silica-calcite mineral pairs for precise geothermometry. The preliminary data also indicate that opal and calcite occurrences in pedogenic and unsaturated-zone settings are invariably compatible with formation under modern ambient surface or subsurface temperatures. Silica and calcite stable-isotope studies are being integrated with soil geochemical modeling. This modeling will define the soil geochemical condition (climate) leading to opal or calcite deposition and to the transfer functions that may apply at the meteorologic soil unsaturated-zone interfaces. Additional study of pedogenic and unsaturated-zone silica is needed to support these models. The hypothesis that the transformation of vapor-phase tridymite to quartz requires saturated conditions is being tested through stable oxygen-isotope studies of lithophysal tridymite/quartz mixtures. Should this hypothesis be verified, mineralogic analysis by X-ray diffraction theoretically would permit reconstruction of past maximum water-table elevations.

  8. Semiotic indexing of digital resources

    DOE Patents [OSTI]

    Parker, Charles T; Garrity, George M

    2014-12-02

    A method of classifying a plurality of documents. The method includes steps of providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination.

  9. Integration of Hyperspectral Imagery and Biosensors for Biological and

    Office of Scientific and Technical Information (OSTI)

    Chemical Facility Classification (Technical Report) | SciTech Connect Hyperspectral Imagery and Biosensors for Biological and Chemical Facility Classification Citation Details In-Document Search Title: Integration of Hyperspectral Imagery and Biosensors for Biological and Chemical Facility Classification Authors: Munsky, Brian [1] ; Yeager, John D. [1] ; Sellars, Scott [2] ; Mukundan, Harshini [1] ; Nadler, Brett Ross [1] + Show Author Affiliations Los Alamos National Laboratory UC Irvine

  10. Integration of hyperspectral imagery and biosensors for biological and

    Office of Scientific and Technical Information (OSTI)

    chemical facility classification (Technical Report) | SciTech Connect hyperspectral imagery and biosensors for biological and chemical facility classification Citation Details In-Document Search Title: Integration of hyperspectral imagery and biosensors for biological and chemical facility classification Authors: Munsky, Brian [1] ; Sellars, Scott [2] ; Yeager, John D. [1] ; Mukundan, Harshini [1] ; Nadler, Brett Ross [1] + Show Author Affiliations Los Alamos National Laboratory UC Irvine

  11. Andrew Weston-Dawkes | Department of Energy

    Energy Savers [EERE]

    Weston-Dawkes About Us Andrew Weston-Dawkes - Director, Office of Classification Andrew Weston-Dawkes Dr. Andrew Weston-Dawkes is the Director for the Office of Classification within the Office of Environment, Health, Safety and Security. The Office of Classification manages the Government-wide program to classify and declassify nuclear weapons-related technology as authorized under the Atomic Energy Act of 1954 and implements the requirements of Executive Order 13526 regarding the

  12. Microsoft Word - NOPR versus SNOPR Factsheet_Final

    National Nuclear Security Administration (NNSA)

    NOPR versus SNOPR: Proposed Changes to Key Provisions Destination classification NOPR: The NOPR proposed to change the classification of 3 countries with growing nuclear trade to generally authorized from requiring specific authorization. It was also proposed that 77 countries with limited nuclear trade, with the exception of Mexico, switch from generally authorized to requiring specific authorization. The proposed change did not affect the classification of 117 country destinations. SNOPR: The

  13. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    of Classification, Office of Document Reviews DOE Office of Science Atmospheric ... Richland, WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID ...

  14. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    States) DOE HSS Office of Classification, Office of Document Reviews DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States) DOEEI USDOE Energy...

  15. Posting Date: 12/18/15 Posting Close Date: 1/4/16

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

    815 Posting Close Date: 1416 North American Industry Classification System (NAICS) code for the request: 336211 Estimated SubcontractPO Value: TBD Estimated Period of...

  16. Posting Date: July 16, 2015 Posting Close Date: TBD

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

    July 16, 2015 Posting Close Date: TBD North American Industry Classification System (NAICS) code for the request: 812332 Estimated SubcontractPO Value TBD Estimated Period of...

  17. Slide 1

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

    Improvements 1)Cloud classification based on measurements 2)Improved LWP retrieval 3)More conditional retrievals The ShupeTurner Microphysics Product at NSA Radiative Closure and...

  18. U.S. DEPARTMENT OF ENERGY Information Collection Clearance Manager...

    Office of Environmental Management (EM)

    Title SECTION II. Appointee Contact Information Location (City, State) Security Classification Email Phone Number SECTION III. Appointee Acknowledgement I acknowledge my...

  19. NEW - DOE O 325.2 Chg 1 (Admin Chg), Position Management and...

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

    O 325.2 Chg 1 (Admin Chg), Position Management and Classification by Patricia Greeson The order establishes departmental requirements and responsibilities for classifying positions...

  20. Tax Credits, Rebates & Savings | Department of Energy

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

    interconnection requests. A project must meet all of the requirements of a given classification in order to be eligible for that level of... Eligibility: Commercial, Industrial,...

  1. BPA-2011-00796-FOIA Correspondence

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

    2008, 2009, and 2010. You have asked for data that reflects positiontitle, name, classification, salary, all awards identified by type and any other cash recognition by fiscal...

  2. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Oak Ridge, TN (United States) DOE HSS Office of Classification, Office of Document Reviews DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States) ...

  3. Mentors and Projects

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

    ... Modeling scintillation effects on radio frequency signals requires knowledge of the ... Model and probabilistic prediction using machine learning (binomial classification) will ...

  4. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    States) Chicago Regional Office, Chicago, IL (United States) Clinch River Breeder Reactor Project, Oak Ridge, TN (United States) DOE HSS Office of Classification, Office of...

  5. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... States) Grand Forks Energy Technology Center (United States) Grand Junction Project Office, Grand Junction, CO (United States) HSS Office of Classification Hanford Site (HNF), ...

  6. GUIDANCE ON CONDUCTING ADVERSE DIVERSITY ANALYSIS

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

    U.S. Department of Justice in 1978 set out accepted statistical tests for assessing possible discriminatory impact of employment actions on protected classifications of employees. ...

  7. Microsoft Word - M-2 WTP Contract Section H - Conformed Thru...

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

    (or subcontracts thereunder) administered by the DOE, which are subject to the Davis-Bacon Act, in the classifications set forth in the Hanford Site Stabilization Agreement...

  8. DRAFT

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

    ... Security Classification Office Legal Counter Intelligence Technical Information Office ... In addition, an effective EMCP minimizes the risk of negative publicity to DOE and its ...

  9. Wild and Scenic Rivers Act | Open Energy Information

    Open Energy Info (EERE)

    as wild, scenic, or recreational. These classifications necessitate differing levels of environmental protection under the Act. Published NA Year Signed or Took Effect 1968...

  10. Privacy Act Systems of Records

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

    Examining and Placement Records OPMGOVT-7: Applicant Race, Sex, National Origin, and Disability Status Records OPMGOVT-9: File on Position Classification Appeals, Job Grading...

  11. Energy Intensity Indicators: Manufacturing Energy Intensity

    Broader source: Energy.gov [DOE]

    The manufacturing sector comprises 18 industry sectors, generally defined at the three-digit level of the North American Industrial Classification System (NAICS). The manufacturing energy data...

  12. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    (United States) Chicago Regional Office, Chicago, IL (United States) Clinch River Breeder Reactor Project, Oak Ridge, TN (United States) DOE HSS Office of Classification, Office of...

  13. RAPID/Roadmap/3-TX-a | Open Energy Information

    Open Energy Info (EERE)

    Act Lands' are defined in the Texas Administrative Code as "any public free school or asylum lands, whether surveyed or unsurveyed, sold with a mineral classification or...

  14. Stanford Synchrotron Radiation Lightsource

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

    LASER USE yes no If yes, please fill out all of the fields in this section. ANSI classification Wavelength Total Power Laser hazard controls you will apply. HAZARDOUS...

  15. Emergency Management Program Inspection Criteria, Approach, and...

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

    ... emphasize the need for prompt, accurate, and practical judgments involving event categorization and classification, protective actions, and the urgency of notifications of ...

  16. Electricity Monthly Update

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

    The Electric Power Sector comprises electricity-only and combined heat and power (CHP) plants within the North American Industrial Classification System 22 category whose...

  17. X:\\ARM_19~1\\PGS29-47.WPD

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

    the scene. This information will assist the volume rendering program in determining the shape of the cloud. Much work has been done on cloud classification using multispectral...

  18. The Department of Energy's National Security Information Fundamental...

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

    The review, which took over 2 years, has resulted in recommendations that will streamline, clarify, and enhance DOE NSI classification guidance. PDF icon The Department of...

  19. Directives Quarterly Update

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

    Directives at https:www.directives.doe.govdirectives APRIL 2015 DOE O 325.2, Position Management and Classification The order establishes departmental requirements and...

  20. Classifying forest productivity at different scales

    SciTech Connect (OSTI)

    Graham, R.L.

    1991-01-01

    Spatial scale is an important consideration when evaluating, using, or constructing forest productivity classifications. First, the factors which dominate spatial variability in forest productivity are scale dependent. For example, within a stand, spatial variability in productivity is dominated by microsite differences; within a national forest such as the Cherokee National Forest, spatial variability is dominated by topography and land-use history (e.g., years since harvest); within a large region such as the southeast, spatial variability is dominated by climatic patterns. Second, classifications developed at different spatial scales are often used for different purposes. For example, stand-level classifications are often keys or rules used in the field to judge the quality or potential of a site. National-forest classifications are often presented as maps or tables and may be used in forest land planning. Regional classifications may be maps or tables and may be used to quantify or predict resource availability. These scale-related differences in controlling factors and purposes will affect both the methods and the data used to develop classifications. In this paper, I will illustrate these points by describing and comparing three forest productivity classifications, each developed for a specific purpose at a specific scale. My objective is not to argue for or against any of these particular classifications but rather to heighten awareness of the critical role that spatial scale plays in the use and development of forest productivity classifications. 8 refs., 2 figs., 1 tab.

  1. Towards a Characterization of Arctic Mixed-Phase Clouds

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

    manual classification of cloud phase. Using collocated cloud radar and depolarization lidar observations, it is shown that mixed-phase conditions have a high correlation with a...

  2. POLICY BULLETIN: POL-5- Declassification Instruction "25X1-human"

    Broader source: Energy.gov [DOE]

    Provides instructions on the appropriate action to take when classification guide topics or source documents cite "25X1-human" declassification instructions.

  3. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Oak Ridge, TN (United States) DOE HSS Office of Classification, Office of Document Reviews DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United...

  4. Land-Use Change Data Analysis

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

    ... hierarchical manner - Use the composite cluster model to predict labels for both images - ... and rigorously test the classification algorithm to accurately estimate changes in ...

  5. Mission Support Alliance LLC Safeguards and Security Hanford...

    Office of Environmental Management (EM)

    disseminates regular safety reminders. SAS uses the MSA, Case Management Desk Instruction, OSH-2; Rev 5, dated March 10, 2010, to guide the weekly Classification Committee...

  6. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... The case of the (1020), where two-gluon exchanges are ... We summarize the conditions for this phase retrieval method ... Two practical examples-star-galaxy classification and ...

  7. UNIVERSITY OF CALIFORNIA, SAN DIEGO Automated Feature Design...

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

    sample Index reserved for time series Fitness Classification error Quadratic loss Fitness component weighting factor Number of instances in training data Number of instances in...

  8. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Office of Classification Hanford Site (HNF), Richland, WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID (United States) Idaho National Engineering Laboratory,...

  9. Slide 1

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

    ... The Labor Law Labyrinth Lesson 5A Horror Story 8(a) GC operates "independent field ... Non; Min Wage; OT. Service: Service Contract Act (SCA) - Classification; Wage ...

  10. Paperwork Reduction Act Submission (OMB 83-I)

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

    ... the use of a statistical data classification that has not been reviewed and ... confidentiality to the extent permitted by law. 8. If applicable, provide a copy and ...

  11. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... CO (United States) HSS Office of Classification Hanford Site (HNF), Richland, WA ... Probing Minicharged Particles with Tests of Coulomb's Law Jaeckel, Joerg Minicharged ...

  12. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    TN (United States) DOE HSS Office of Classification, Office of Document Reviews DOE ... models (1) synchrotrons (1) vegard law (1) x-ray diffraction (1) Filter by Author ...

  13. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... CO (United States) HSS Office of Classification Hanford Site (HNF), Richland, WA ... the existence of a Goldstone boson with nonlinear (typically, quadratic) dispersion law. ...

  14. Electronic Recordkeeping System Questionnaire

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

    ... Cite applicable law, regulation, or guidance and explain how it impacts the proposed ... with accession, such as data sensitivity or security classification review requirements. ...

  15. Instructions for the Supporting Statement

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

    ... requiring the use of statistical data classification that has not been reviewed and ... procedures to protect the information's confidentiality to the extent permitted by law. ...

  16. Chapter 14 - Grants and Cooperative Agreements

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

    money or property, authorized by federal law to support programs with a public purpose ... proper appropriation and accounting classification data prior to obligating the award ...

  17. Involuntary Separation Program General Release and Waiver

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

    ... not selected in the same job classification or organizational unit. 12. Entire ... valid and enforceable. 13. Governing Law: This Release will be construed and ...

  18. Staff

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

    Feature Design for Time Series Classification by Genetic Programming (pdf) Dustin Harvey, Ph.D. Dissertation, 2014 Structural Eng., Univ. of California, San Diego...

  19. DOE/EIA

    U.S. Energy Information Administration (EIA) Indexed Site

    The working deSriition of an establishment is the definition stated in the Office of Management and Budget's Standard Industrial Classification (SIC) Manual. ... an...

  20. X1/EIA-0512(88)

    U.S. Energy Information Administration (EIA) Indexed Site

    definition of a manufacturing establishment is the definition stated in the Office of Management and Budget's Standard Industrial Classification (SIC) Manual: 16 Manufacturing...

  1. Geographic Information System At Cove Fort Area - Vapor (Nash...

    Open Energy Info (EERE)

    Unknown Notes An example, shown in Figure 1, shows results from the classification of big sagebrush (Artimesia tridentata) spectra, acquired over the Cove Fort-Sulphurdale,...

  2. Geographic Information System At Cove Fort Area (Nash, Et Al...

    Open Energy Info (EERE)

    Unknown Notes An example, shown in Figure 1, shows results from the classification of big sagebrush (Artimesia tridentata) spectra, acquired over the Cove Fort-Sulphurdale,...

  3. SMART BRIDGE: A Tool for Estimating the Military Load

    Office of Scientific and Technical Information (OSTI)

    information is described in the next section. Finally, the last section summarizes the SMART BRIDGE efforts. BIUDGE AND VEHICLE CLASSIFICATION The U . S . military uses the...

  4. The ESSENCE Supernova Survey: Survey Optimization, Observations...

    Office of Scientific and Technical Information (OSTI)

    Ia SNe, at redshifts from 0.10 to 0.78, identified through an impartial, effective methodology for spectroscopic classification and redshift determination. We present the...

  5. Quality Management

    Broader source: Energy.gov [DOE]

    The Office of Quality Management, within the Office of Health, Safety and Security develops policies and procedures to ensure the classification and control of information is effective and...

  6. Summary of Decisions - June 23, 2014 - June 27, 2014 | Department...

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

    (LANL), he was retaliated against for an article he published in an international journal and his subsequent post-publication challenge of a classification decision relating...

  7. Integration of Hyperspectral Imagery and Biosensors for Biological...

    Office of Scientific and Technical Information (OSTI)

    Biological and Chemical Facility Classification Authors: Munsky, Brian 1 ; Yeager, John D. 1 ; Sellars, Scott 2 ; Mukundan, Harshini 1 ; Nadler, Brett Ross 1 + Show...

  8. Type D: Sedimentary-hosted, Volcanic-related Resource | Open...

    Open Energy Info (EERE)

    F 1,035.27 R References Colin F. Williams, Marshall J. Reed and Arlene F. Anderson. 2011. Updating the Classification of Geothermal Resources - Presentation. In:...

  9. Type A: Magma-heated, Dry Steam Resource | Open Energy Information

    Open Energy Info (EERE)

    518 F 977.67 R References Colin F. Williams, Marshall J. Reed and Arlene F. Anderson. 2011. Updating the Classification of Geothermal Resources - Presentation. In:...

  10. Type F: Oceanic-ridge, Basaltic Resource | Open Energy Information

    Open Energy Info (EERE)

    464 F 923.67 R References Colin F. Williams, Marshall J. Reed and Arlene F. Anderson. 2011. Updating the Classification of Geothermal Resources - Presentation. In:...

  11. DOE F 1450.6 | Department of Energy

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

    revised, or deleted. In addition to number and module, system information includes security classification and privacy level. REQUEST FOR SYSTEM CONTROL IDENTIFICATION...

  12. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    of Classification, Office of Document Reviews DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States) DOEEI USDOE Energy Information ...

  13. Conductive Plays - Basement | Open Energy Information

    Open Energy Info (EERE)

    Plays - Basement Author Graeme Beardsmore Conference IGA Workshop on Developing Best Practice for Geothermal Exploration and ResourceReserve Classification; Essen,...

  14. Conductive, Intracratonic Play Geothermal Development in the...

    Open Energy Info (EERE)

    in the Paris Basin Author Miklos Antics Conference IGA Workshop on Developing Best Practice for Geothermal Exploration and ResourceReserve Classification; Essen,...

  15. UNCLASSIFIED Nuclear Materials Management & Safeguards System

    National Nuclear Security Administration (NNSA)

    Nuclear Materials Management & Safeguards System CHANGE OF PROJECT NUMBER UPDATE PROJECT Project Number: Title: Date Valid: Date Deactivated: Classification Codes: Project Number:...

  16. LINGUISTIC ANALYSIS OF THE NUCLEOPROTEIN GENE OF INFLUENZA A VIRUS

    SciTech Connect (OSTI)

    A. SKOURIKHINE; T. BURR

    2000-05-01

    We applied linguistic analysis approach, specifically N-grams, to classify nucleotide and amino acids sequences of nucleoprotein (NP) gene of the Influenza A virus isolated from a range of hosts and geographic regions. We considered letter frequency (1-grams), letter pairs frequency (2-grams) and triplets' frequency (3-grams). Classification trees based on 1,2,3-grams variables were constructed for the same NP nucleotide and amino acids strains and their classification efficiency were compared with the clustering obtained using phylogenetic analysis. The results have shown that disregarding positional information for a NP gene can provide the same level of recognition accuracy like alternative more complex classification techniques.

  17. Title

    National Nuclear Security Administration (NNSA)

    Classification of Groundwater at the Nevada Test Site (DOE/NV, 10384-28) Ground- water classifications on NTS. Technical Reference Document Author Chapman, J.B./DRI, Publication No. 45069 100988 Document Date 8/1/94 Document Type Report ERC Index number 05.09.032 Box Number 1684-1 Recipients DOE/NV University and Community College System of Nevada DOE/NV/10384-28 UC-703 Water Resources Center CLASSIFICATION OF GROUNDWATER AT THE NEVADA TEST SITE by Jenny B. Chapman AUGUST 1994 Publication #45069

  18. C:\\PERFORM\\FORMS\\S1445.FRP

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

    FIRST NAME MI STREET ADDRESS CITY STATE ZIP CODE WORK CLASSIFICATION WAGE RATE NAME OF PRIME CONTRACTOR NAME OF EMPLOYER SUPERVISOR'S NAME LAST NAME FIRST NAME MI ACTION CHECK...

  19. Fault Controlled | Open Energy Information

    Open Energy Info (EERE)

    has been provided for this term. Add a Definition This classification is used if the literature describes the geothermal fluids as being controlled by faults, but not in detail....

  20. 1

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

    systems tracked using hourly thermal flux data is used to create a classification by life-cycle stage. This is shown to provide a valuable framework for the analysis of less...

  1. Transportation Management Workshop: Proceedings

    SciTech Connect (OSTI)

    Not Available

    1993-10-01

    This report is a compilation of discussions presented at the Transportation Management Workshop held in Gaithersburg, Maryland. Topics include waste packaging, personnel training, robotics, transportation routing, certification, containers, and waste classification.

  2. Davis Bacon

    Broader source: Energy.gov [DOE]

    1.  We have several jobs that are not listed on the WD table for our State from the WDOL website. It is my understanding that the contractor requests the additional classification & rate once...

  3. Links

    Broader source: Energy.gov [DOE]

    More Legal Research ResourcesEnergy Law NetLegal Citation Style GuideNuclear Regulatory LegislationOpen CRSPublic Library of LawTreatiesU.S. Code Classification TablesU.S. Congressional Documents...

  4. untitled

    U.S. Energy Information Administration (EIA) Indexed Site

    classification for one of the petroleum fractions produced in conventional distillation operations. Products known as No. 1, No. 2, and No. 4 diesel fuel are used in on-highway...

  5. X:\\L6046\\Data_Publication\\Pma\\current\\ventura\\pma.vp

    U.S. Energy Information Administration (EIA) Indexed Site

    classification for one of the petroleum fractions produced in conventional distillation operations. Products known as No. 1, No. 2, and No. 4 diesel fuel are used in on-highway...

  6. METALS DESIGN HANDBOOK DISCLAIMER

    Office of Scientific and Technical Information (OSTI)

    Metals Design Handbook Dear Andy : Enclosed f o r your useinformation is DOE-HTGR-88106, ... * 0 I ELECTRiCAL CLASSIFICATION 7 SUE F 0 - INTI NA I NA I NA I APPROVAL PREPARED ...

  7. Most Viewed Documents for Mathematics and Computing: December...

    Office of Scientific and Technical Information (OSTI)

    Thermal and Plasma Processes Dept. (1997) 26 Review of zirconium-zircaloy pyrophoricity Cooper, T.D. (1984) 26 SMART BRIDGE: A tool for estimating the military load classification ...

  8. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... CO (United States) HSS Office of Classification Hanford Site (HNF), Richland, WA ... The total value of the power-law index of the flare frequency distribution as a function ...

  9. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... CO (United States) HSS Office of Classification Hanford Site (HNF), Richland, WA ... FeP, MgAl, and CuZr, follow an exponential law with a characteristic length scale lsub c ...

  10. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    TN (United States) DOE HSS Office of Classification, Office of Document Reviews DOE ... Gu, Lianhong ORNL (10) Hanson, Paul J (6) Law, Beverly E. (6) Meyers, T. P. (6) Munger, ...

  11. BWXT Pantex

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

    ... Weight: 0.40 0.10 0.50 1.00 NAME Job Classification Salary Grade Education, Knowledge and ... in hiring, consistent with applicable law, regulation, or executive order, and ...

  12. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1998-05-08

    This Manual provides requirements for managing the Departments classification and declassification program, including details for classifying and declassifying information, documents, and material. Cancels DOE O 5650.2B.

  13. Email Template

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

    March 8, 2007 FINAL MEETING SUMMARY HANFORD ADVISORY BOARD HEALTH, SAFETY, AND ENVIRONMENTAL PROTECTION COMMITTEE MEETING March 8, 2007 Richland, WA Topics in this Meeting Summary Welcome and Introductions ................................................................................................ 1 Medical Removal Process ................................................................................................... 1 Classification of Workers and Medical Records

  14. West Valley Demonstration Project DOE Manual 435.1-1 Waste Incidental...

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

    Class C low-level waste as set out in 10 CFR 61.55, Waste Classification. Click below to view related documentation Final Vitrification Melter and Vessels Evaluation Documentation

  15. Automated Export Control.PDF

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

    ... He said that except for Defense, Commerce and State, Energy and other agencies are taking a "wait and see" attitude towards USXPORTS until issues such as the classification level ...

  16. Interconnection Standards

    Broader source: Energy.gov [DOE]

    The interconnection rules set four levels of review for interconnection requests. A project must meet all of the requirements of a given classification in order to be eligible for that level of...

  17. untitled

    U.S. Energy Information Administration (EIA) Indexed Site

    ... Inventory Classification of product stocks reported on Form EIA-801 may change as a result of product reclassification reported on Form EIA-805 "W eekly T erminal Blender Report". ...

  18. Microsoft Word - 2014_1007_RAP_ThreeMonth_WorkPlan.doc

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

    Plan? Timeframe? DOE Order 435.1 waste classification (joint with TWC, on TWC agenda) (Maynard and Dick) Update on Orchard Lands Work Plan Yes - Remaining 100 Area RIFS and...

  19. U.S. Crude Oil Production to 2025: Updated Projection of Crude...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... Consistent with recent classification decisions from the U.S. Department of Commerce, Bureau of Industry and Security, 4 minimal processing of crude streams with an API gravity of ...

  20. DOE F 470.1 | Department of Energy

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

    DOE F 470.1 Form is used in classified matter protection and control programs PDF icon DOE F 470.1 Contract Security Classification Specification (CSCS).pdf More Documents & ...

  1. Q-List

    SciTech Connect (OSTI)

    J.A. Ziegler

    2005-02-16

    The purpose of this report is to document the safety classification of the Yucca Mountain repository structures, systems, and components (SSCs) that are important to safety and to document the identification of natural and engineered barriers and other SSCs important to waste isolation, as described in ''Safety Classification of SSCs and Barriers'' (BSC 2005, Attachment A). This report supports the design and licensing activities for the Yucca Mountain Project.

  2. Small Business Program (Text Version) | Department of Energy

    Energy Savers [EERE]

    Small Business Program (Text Version) Small Business Program (Text Version) This is the text version for the images on the EERE Small Business Program page. North American Industry Classification System This pie chart shows the top ten North American Industry Classification System codes used by businesses working with the Department of Energy in September 2015. They are 541611: Administrative Management and General Management Consulting Services: $35,932,769; 541330: Engineering Services:

  3. OUO Review Requirement | Department of Energy

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

    OUO Review Requirement OUO Review Requirement Who can decide whether a document contains OUO information? In certain cases, the Office of Classification or your program office has already made the OUO decision for you. These decisions are found in classification guides, Unclassified Controlled Nuclear Information (UCNI) guidelines, or in program-issued OUO guidance. If a topic in such guidance indicates that information in your document is OUO, then the document contains OUO information. Some

  4. Beyond Scheme F

    SciTech Connect (OSTI)

    Elliott, C.J.; Fisher, H.; Pepin, J.; Gillmann, R.

    1996-07-01

    Traffic classification techniques were evaluated using data from a 1993 investigation of the traffic flow patterns on I-20 in Georgia. First we improved the data by sifting through the data base, checking against the original video for questionable events and removing and/or repairing questionable events. We used this data base to critique the performance quantitatively of a classification method known as Scheme F. As a context for improving the approach, we show in this paper that scheme F can be represented as a McCullogh-Pitts neural network, oar as an equivalent decomposition of the plane. We found that Scheme F, among other things, severely misrepresents the number of vehicles in Class 3 by labeling them as Class 2. After discussing the basic classification problem in terms of what is measured, and what is the desired prediction goal, we set forth desirable characteristics of the classification scheme and describe a recurrent neural network system that partitions the high dimensional space up into bins for each axle separation. the collection of bin numbers, one for each of the axle separations, specifies a region in the axle space called a hyper-bin. All the vehicles counted that have the same set of in numbers are in the same hyper-bin. The probability of the occurrence of a particular class in that hyper- bin is the relative frequency with which that class occurs in that set of bin numbers. This type of algorithm produces classification results that are much more balanced and uniform with respect to Classes 2 and 3 and Class 10. In particular, the cancellation of errors of classification that occurs is for many applications the ideal classification scenario. The neural network results are presented in the form of a primary classification network and a reclassification network, the performance matrices for which are presented.

  5. LLNL Distinguished Members of Technical Staff

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

    honors LLNL Distinguished Members of Technical Staff The Distinguised Members of Technical Staff (DMTS) classification, established in 2011, was created to serve as a career ladder for LLNL scientists and engineers within the Science & Engineering classification structure. It appropriately recognizes outstanding science and technology excellence with distinction and compensation while allowing the honored recipients to remain focused on delivering science and engineering solutions to

  6. Honors

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

    Honors Member of the National Academies LLNL Distinguished Members of the Technical Staff The Distinguised Members of Technical Staff (DMTS) classification, established in 2011, was created to serve as a career ladder for LLNL scientists and engineers within the Science & Engineering classification structure. It appropriately recognizes outstanding science and technology excellence with distinction and compensation while allowing the honored recipients to remain focused on delivering science

  7. NREL: Energy Analysis - Andrew Weekley

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

    Andrew Weekley Photo of Andrew Weekley (UCAR, photo by Carlye Calvin) Andrew Weekley is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Data Scientist On staff since January 2013 Phone number: 303-275-3680 E-mail: andrew.weekley@nrel.gov Areas of expertise MATLAB Expert systems Scientific data analysis Primary research interests Time series segmentation and classification Image segmentation and classification Machine intelligent algorithms Education

  8. EERE PowerPoint 97-2004 Template: Green Version

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

    Program 2015 Peer Review National Geothermal Resource Assessment and Classification Colin F. Williams US Geological Survey Systems Analysis (Resource Assessment) Project Officer: Tim Reinhardt Total Project Funding: $2.89M May 11, 2015 This presentation does not contain any proprietary confidential, or otherwise restricted information. 2 | US DOE Geothermal Office eere.energy.gov Relevance/Impact of Research * Overall Objectives * Develop new Geothermal Resource Classification standards * Expand

  9. Brochure, Training and Outreach Materials for RD and FRD - October 2007 |

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

    Department of Energy Training and Outreach Materials for RD and FRD - October 2007 Brochure, Training and Outreach Materials for RD and FRD - October 2007 October 2007 Brochure outlining Training and Outreach Materials for Restricted Data and Formerly Restricted Data. PDF icon Brochure, Training and Outreach Materials for RD and FRD - October 2007 More Documents & Publications Briefing, Classification of Nuclear Weapons-Related Information Catalog, Classification Training Institute

  10. Microsoft PowerPoint - ShupeARM2007.ppt [Compatibility Mode]

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

    and Microphysics in Arctic Mixed-Phase Stratus Matthew Shupe With contributions from Pavlos Kollias, Ed Luke, Ola Persson, Greg McFarquhar, Michael Poellot, Ed Eloranta g q , , John Daniel, Gijs DeBoer, Chuck Long, Dave Turner Hans Verlinde, Amy Solomon ARM Science Team Meeting 2007 Topics Status of Ground-Based Observational Methods Observational Methods Cloud Classification Cloud Classification M-PACE M PACE Vertical Motions & Microphysics p y A Conceptual Model p Status of Ground-based

  11. Chapter_2_Limited_Areas_Vault-Type_Rooms_and_Temporary_Limited_Areas

    Office of Environmental Management (EM)

    Limited Areas, VTRs, and Temporary Limited Areas Chapter 2 describes the security procedures adopted by DOE HQ to implement the requirements of the following DOE directives: * DOE Order 473.3, Protection Program Operations * DOE Order 471.6, Change 1, Information Security * DOE Order 475.2A, Identifying Classified Information * Classification Bulletin TNP-32, Classification Guidance for Classified Meeting Locations at DOE/NNSA or DOE/NNSA Contractor Sites or Facilities, dated May 27, 2010 DOE

  12. Date centerdTimes New Roman

    Office of Environmental Management (EM)

    Inspection Report Review of Controls Over the Department's Classification of National Security Information DOE/IG-0904 March 2014 Department of Energy Washington, DC 20585 March 27, 2014 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Inspection Report on "Review of Controls Over the Department's Classification of National Security Information" BACKGROUND The Department of Energy handles and manages a broad spectrum of classified

  13. A NEAR-INFRARED SPECTROSCOPIC STUDY OF YOUNG FIELD ULTRACOOL DWARFS

    SciTech Connect (OSTI)

    Allers, K. N.; Liu, Michael C.

    2013-08-01

    We present a near-infrared (0.9-2.4 {mu}m) spectroscopic study of 73 field ultracool dwarfs having spectroscopic and/or kinematic evidence of youth ( Almost-Equal-To 10-300 Myr). Our sample is composed of 48 low-resolution (R Almost-Equal-To 100) spectra and 41 moderate-resolution spectra (R {approx}> 750-2000). First, we establish a method for spectral typing M5-L7 dwarfs at near-IR wavelengths that is independent of gravity. We find that both visual and index-based classification in the near-IR provides consistent spectral types with optical spectral types, though with a small systematic offset in the case of visual classification at J and K band. Second, we examine features in the spectra of {approx}10 Myr ultracool dwarfs to define a set of gravity-sensitive indices based on FeH, VO, K I, Na I, and H-band continuum shape. We then create an index-based method for classifying the gravities of M6-L5 dwarfs that provides consistent results with gravity classifications from optical spectroscopy. Our index-based classification can distinguish between young and dusty objects. Guided by the resulting classifications, we propose a set of low-gravity spectral standards for the near-IR. Finally, we estimate the ages corresponding to our gravity classifications.

  14. Integrating multisource imagery and GIS analysis for mapping Bermuda`s benthic habitats

    SciTech Connect (OSTI)

    Vierros, M.K.

    1997-06-01

    Bermuda is a group of isolated oceanic situated in the northwest Atlantic Ocean and surrounded by the Sargasso Sea. Bermuda possesses the northernmost coral reefs and mangroves in the Atlantic Ocean, and because of its high population density, both the terrestrial and marine environments are under intense human pressure. Although a long record of scientific research exists, this study is the first attempt to comprehensively map the area`s benthic habitats, despite the need for such a map for resource assessment and management purposes. Multi-source and multi-date imagery were used for producing the habitat map due to lack of a complete up-to-date image. Classifications were performed with SPOT data, and the results verified from recent aerial photography and current aerial video, along with extensive ground truthing. Stratification of the image into regions prior to classification reduced the confusing effects of varying water depth. Classification accuracy in shallow areas was increased by derivation of a texture pseudo-channel, while bathymetry was used as a classification tool in deeper areas, where local patterns of zonation were well known. Because of seasonal variation in extent of seagrasses, a classification scheme based on density could not be used. Instead, a set of classes based on the seagrass area`s exposure to the open ocean were developed. The resulting habitat map is currently being assessed for accuracy with promising preliminary results, indicating its usefulness as a basis for future resource assessment studies.

  15. Preliminary hazards analysis for the National Ignition Facility

    SciTech Connect (OSTI)

    Brereton, S.J.

    1993-10-01

    This report documents the Preliminary Hazards Analysis (PHA) for the National Ignition Facility (NIF). In summary, it provides: a general description of the facility and its operation; identification of hazards at the facility; and details of the hazards analysis, including inventories, bounding releases, consequences, and conclusions. As part of the safety analysis procedure set forth by DOE, a PHA must be performed for the NIF. The PHA characterizes the level of intrinsic potential hazard associated with a facility, and provides the basis for hazard classification. The hazard classification determines the level of safety documentation required, and the DOE Order governing the safety analysis. The hazard classification also determines the level of review and approval required for the safety analysis report. The hazards of primary concern associated with NIF are radiological and toxicological in nature. The hazard classification is determined by comparing facility inventories of radionuclides and chemicals with threshold values for the various hazard classification levels and by examining postulated bounding accidents associated with the hazards of greatest significance. Such postulated bounding accidents cannot take into account active mitigative features; they must assume the unmitigated consequences of a release, taking into account only passive safety features. In this way, the intrinsic hazard level of the facility can be ascertained.

  16. Formation of deposits on the surfaces of superheaters and economisers of MSW incinerator plants

    SciTech Connect (OSTI)

    Reichelt, J.; Pfrang-Stotz, G.; Bergfeldt, B.; Seifert, H.; Knapp, P.

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer Composition of deposits depends on the temperature profile and boiler geometry. Black-Right-Pointing-Pointer The mineralogy of deposits defines critical and uncritical zones in the boiler. Black-Right-Pointing-Pointer Critical zones in boilers can be characterised by a classification systems. Black-Right-Pointing-Pointer Specific measures to enhance energy efficiency can be defined. - Abstract: Mineralogical and chemical investigations of deposits from superheaters and economisers from a MSWI plant in Mannheim, Germany, lead to a classification system which provides information about the most critical parameters leading to fouling and corrosion. With the help of this classification system parameters like the geometry of boilers and the waste input can be changed in order to prolong run times between revisions and enhance energy efficiency of MSWI plants.

  17. Information processing systems, reasoning modules, and reasoning system design methods

    DOE Patents [OSTI]

    Hohimer, Ryan E; Greitzer, Frank L; Hampton, Shawn D

    2014-03-04

    Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

  18. Information processing systems, reasoning modules, and reasoning system design methods

    DOE Patents [OSTI]

    Hohimer, Ryan E.; Greitzer, Frank L.; Hampton, Shawn D.

    2015-08-18

    Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

  19. Microtopographic characterization of ice-wedge polygon landscape in Barrow, Alaska: a digital map of troughs, rims, centers derived from high resolution (0.25 m) LiDAR data

    SciTech Connect (OSTI)

    Gangodagamage, Chandana; Wullschleger, Stan

    2014-07-03

    The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, both topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers.

  20. Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of Annual Energy Outlook 2005 (AEO). In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sector-bulk chemicals and pulp and paper.

  1. UNMANNED AERIAL VEHICLE (UAV) HYPERSPECTRAL REMOTE SENSING FOR DRYLAND VEGETATION MONITORING

    SciTech Connect (OSTI)

    Nancy F. Glenn; Jessica J. Mitchell; Matthew O. Anderson; Ryan C. Hruska

    2012-06-01

    UAV-based hyperspectral remote sensing capabilities developed by the Idaho National Lab and Idaho State University, Boise Center Aerospace Lab, were recently tested via demonstration flights that explored the influence of altitude on geometric error, image mosaicking, and dryland vegetation classification. The test flights successfully acquired usable flightline data capable of supporting classifiable composite images. Unsupervised classification results support vegetation management objectives that rely on mapping shrub cover and distribution patterns. Overall, supervised classifications performed poorly despite spectral separability in the image-derived endmember pixels. Future mapping efforts that leverage ground reference data, ultra-high spatial resolution photos and time series analysis should be able to effectively distinguish native grasses such as Sandberg bluegrass (Poa secunda), from invasives such as burr buttercup (Ranunculus testiculatus) and cheatgrass (Bromus tectorum).

  2. Stack filter classifiers

    SciTech Connect (OSTI)

    Porter, Reid B; Hush, Don

    2009-01-01

    Just as linear models generalize the sample mean and weighted average, weighted order statistic models generalize the sample median and weighted median. This analogy can be continued informally to generalized additive modeels in the case of the mean, and Stack Filters in the case of the median. Both of these model classes have been extensively studied for signal and image processing but it is surprising to find that for pattern classification, their treatment has been significantly one sided. Generalized additive models are now a major tool in pattern classification and many different learning algorithms have been developed to fit model parameters to finite data. However Stack Filters remain largely confined to signal and image processing and learning algorithms for classification are yet to be seen. This paper is a step towards Stack Filter Classifiers and it shows that the approach is interesting from both a theoretical and a practical perspective.

  3. Particle analysis using laser ablation mass spectroscopy

    DOE Patents [OSTI]

    Parker, Eric P.; Rosenthal, Stephen E.; Trahan, Michael W.; Wagner, John S.

    2003-09-09

    The present invention provides a method of quickly identifying bioaerosols by class, even if the subject bioaerosol has not been previously encountered. The method begins by collecting laser ablation mass spectra from known particles. The spectra are correlated with the known particles, including the species of particle and the classification (e.g., bacteria). The spectra can then be used to train a neural network, for example using genetic algorithm-based training, to recognize each spectra and to recognize characteristics of the classifications. The spectra can also be used in a multivariate patch algorithm. Laser ablation mass specta from unknown particles can be presented as inputs to the trained neural net for identification as to classification. The description below first describes suitable intelligent algorithms and multivariate patch algorithms, then presents an example of the present invention including results.

  4. Process for selective grinding of coal

    DOE Patents [OSTI]

    Venkatachari, Mukund K. (San Francisco, CA); Benz, August D. (Hillsborough, CA); Huettenhain, Horst (Benicia, CA)

    1991-01-01

    A process for preparing coal for use as a fuel. Forming a coal-water slurry having solid coal particles with a particle size not exceeding about 80 microns, transferring the coal-water slurry to a solid bowl centrifuge, and operating same to classify the ground coal-water slurry to provide a centrate containing solid particles with a particle size distribution of from about 5 microns to about 20 microns and a centrifuge cake of solids having a particle size distribution of from about 10 microns to about 80 microns. The classifer cake is reground and mixed with fresh feed to the solid bowl centrifuge for additional classification.

  5. HEMLOCK

    Energy Science and Technology Software Center (OSTI)

    2009-03-25

    HEMLOCK (Heterogeneous Ensemble Machine Learning Open Classification Kit) is a software tool for constructing, evaluating, and applying heterogeneous ensemble data models for use in solving supervised machine learning problems. Specifically, the main class of problems targeted by HEMLOCK is the problem of multiple-class classification (also called labeling or categorization) of data with continuous or discrete features. HEMLOCK consists of various data readers, machine learning algorithms, model combination and comparison routines, evaluation methods for model performancemore » testing, and interfaces to external, state-of-the-art machine learning software libraries.« less

  6. Method and apparatus for detecting concealed weapons

    DOE Patents [OSTI]

    Kotter, Dale K.; Fluck, Frederick D.

    2006-03-14

    Apparatus for classifying a ferromagnetic object within a sensing area may include a magnetic field sensor that produces magnetic field data. A signal processing system operatively associated with the magnetic field sensor includes a neural network. The neural network compares the magnetic field data with magnetic field data produced by known ferromagnetic objects to make a probabilistic determination as to the classification of the ferromagnetic object within the sensing area. A user interface operatively associated with the signal processing system produces a user-discernable output indicative of the probabilistic determination of the classification of the ferromagnetic object within a sensing area.

  7. EA-1962: Analysis for Below Grade Suspect Transuranic (TRU) Waste at Technical Area (TA)-54

    Broader source: Energy.gov [DOE]

    DOE is preparing an EA to evaluate the legacy suspect transuranic (TRU) waste at Area G for the purposes of reclassification of waste type and determination of a final disposal path. Per DOE Order 435.1, Change 1, Radioactive Waste Management, and its associated guide, legacy waste at Los Alamos National Laboratory that contained TRU waste was stored and managed as TRU waste. The waste was given an interim classification for the purposes of applying the most restrictive standard until the waste could be adequately characterized and a final determination on the disposition classification was made.

  8. September 2015 Most Viewed Documents for National Defense | OSTI, US Dept

    Office of Scientific and Technical Information (OSTI)

    of Energy, Office of Scientific and Technical Information September 2015 Most Viewed Documents for National Defense SMART BRIDGE: A tool for estimating the military load classification of bridges using varying levels of information Van Groningen, C.N.; Paddock, R.A. (1997) 131 Vapor-liquid equilibria for nitric acid-water and plutonium nitrate-nitric acid-water solutions Maimoni, A. (1980) 91 Smart bridge: a tool for estimating the military load classification of bridges Van Groningen, C.N.;

  9. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

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

    Information Administration (EIA) CBECS Terminology NOTE: This glossary is specific to the 1999, 2003 and 2012Commercial Buildings Energy Consumption Surveys (CBECS). CBECS glossaries for prior years can be found in the appendices of past CBECS reports. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are

  10. Facility Security Officer Contractor Toolcart

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

    SNL SECURITY CONTACTS SNL/NM Contacts SNL/CA Contacts Function Contact Email Telephone Badge Office 505-284-3626 - Escorting security@sandia.gov 505-845-1321 Classification 505-844-5574 - Classification Officer Ron McIntosh rmcinto@sandia.gov 505-844-5225 Classified Matter Protection & Control Jeremy Pacheco jpachec@sandia.gov 505-844-4316 - Classified Matter Channels Maretta King mking@sandia.gov 505-284-0827 Clearance Office - Clearance Reinvestigations security@sandia.gov 505-845-1321 -

  11. Residential Energy Consumption Survey (RECS) - U.S. Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) ‹ Consumption & Efficiency Residential Energy Consumption Survey (RECS) Glossary › FAQS › Overview Data 2009 2005 2001 1997 1993 Previous Analysis & Projections RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial,"

  12. Computationally Efficient Neural Network Intrusion Security Awareness

    SciTech Connect (OSTI)

    Todd Vollmer; Milos Manic

    2009-08-01

    An enhanced version of an algorithm to provide anomaly based intrusion detection alerts for cyber security state awareness is detailed. A unique aspect is the training of an error back-propagation neural network with intrusion detection rule features to provide a recognition basis. Network packet details are subsequently provided to the trained network to produce a classification. This leverages rule knowledge sets to produce classifications for anomaly based systems. Several test cases executed on ICMP protocol revealed a 60% identification rate of true positives. This rate matched the previous work, but 70% less memory was used and the run time was reduced to less than 1 second from 37 seconds.

  13. Microsoft Word - 2014_0305_Graphic_PIC_ThreeMonth_WorkPlan.docx

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

    03/05/14 during PIC meeting (Blue titles indicate those topics specifically identified in the 2014 HAB Work Plan) March April May RAD Primer (placeholder) o How workers are protected from exposure? o HSEP lead Public Understanding of... o Involving an informed public on issues like cleanup levels, waste streams and classifications, risk, budget, etc. o Check in with John Howieson & other issue managers on the tank waste classification FAQs (next step: Ken & Liz to set-up IM call) 100-F

  14. A rationalization of the Type IV loading dependence in the

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

    Kärger-Pfeifer classification of self-diffusivities | Center for Gas SeparationsRelevant to Clean Energy Technologies | Blandine Jerome rationalization of the Type IV loading dependence in the Kärger-Pfeifer classification of self-diffusivities Previous Next List Rajamani Krishna, Jasper M. van Baten, Microporous Mesoporous Mater., 142, 745-748 (2011) DOI: 10.1016/j.micromeso.2011.01.002 Full-size image (41 K) Abstract: Kärger and Pfeifer (1987) [1] have listed five different types of

  15. Glossary - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Glossary A B C D E F G H I J K L M N O P Q R S T U V W XYZ Search glossary terms: Search Browse terms related to these fuel groups: alternative fuels coal electricity natural gas nuclear petroleum renewable A AC: Alternating Current ACBM: Acronym for "asbestos-containing building material." Account classification: The way in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Residential,"

  16. CommuniQue, March/April 2012

    Office of Environmental Management (EM)

    TEP Status Update 3 Controlled Unclassified Information 5 Use of Exemption 2 for OUO 5 Personnel Updates 6 Guidance Updates 9 CommuniQué M A R C H / A P R I L 2 0 1 2 Special points of interest: * How will the Fundamental Classification Guidance Review affect DCs/DDs? - see page 4 * What happens if my classification guide is canceled? - see page 6 * Upcoming COs Technical Review Meeting - see page 7 * List of commonly used acronyms in this CommuniQué - see page 8 April 24-26 CO Technical

  17. System and method for resolving gamma-ray spectra

    DOE Patents [OSTI]

    Gentile, Charles A.; Perry, Jason; Langish, Stephen W.; Silber, Kenneth; Davis, William M.; Mastrovito, Dana

    2010-05-04

    A system for identifying radionuclide emissions is described. The system includes at least one processor for processing output signals from a radionuclide detecting device, at least one training algorithm run by the at least one processor for analyzing data derived from at least one set of known sample data from the output signals, at least one classification algorithm derived from the training algorithm for classifying unknown sample data, wherein the at least one training algorithm analyzes the at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by the detecting device.

  18. E & MJ buyers guide 2009

    SciTech Connect (OSTI)

    2008-11-15

    The guide lists over 1000 companies supplying equipment and services to mines and mills worldwide. It consists of a product classification section giving the name(s) and telephone numbers of manufacturers. The manufacturers are predominantly based in the USA although other worldwide companies are included.

  19. Hillslope stability and land use (1985). Volume II

    SciTech Connect (OSTI)

    Sidle, R.C.; Pearce, A.J.; O'Loughlin, C.L.

    1985-01-01

    This book emphasizes the natural factors affecting slope stability, including soils and geomorphic, hydrologic, vegetative, and seismic factors and provides information on landslide classification, global damage, and analytical methods. The effects of various extensive and intensive land management practices on slope stability are discussed together with methods for prediction, avoidance, and control. Examples of terrain evaluation procedures and land management practices are presented.

  20. CX-003243: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demolish Building 51 at Brookhaven National Laboratory and Dispose of Materials According to Classification as Hazardous or Clean Construction DebrisCX(s) Applied: B1.23Date: 08/05/2010Location(s): New YorkOffice(s): Brookhaven Site Office