National Library of Energy BETA

Sample records for maps mecs terminology

  1. MECS 2006- Plastics

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Plastics (NAICS 326) Sector with Total Energy Input, October 2012 (MECS 2006)

  2. MECS 2006- Forest Products

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Forest Products (NAICS 321, 322) Sector with Total Energy Input, October 2012 (MECS 2006)

  3. MECS 2006- Foundries

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Foundries (NAICS 3315) Sector with Total Energy Input, October 2012 (MECS 2006)

  4. MECS 2006- Petroleum Refining

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Petroleum Refining (NAICS 324110) Sector with Total Energy Input, October 2012 (MECS 2006)

  5. MECS 2006- Glass

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Glass (NAICS 3272, 327993) Sector with Total Energy Input, October 2012 (MECS 2006)

  6. MECS 2006- Textiles

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Textiles (NAICS 313-316) Sector with Total Energy Input, October 2012 (MECS 2006)

  7. MECS 2006- Machinery

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Machinery (NAICS 333) Sector with Total Energy Input, October 2012 (MECS 2006)

  8. MECS 2006- Chemicals

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Chemicals Sector (NAICS 325) with Total Energy Input, October 2012 (MECS 2006)

  9. MECS 2006 - Fabricated Metals | Department of Energy

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

    supporting documents Manufacturing Energy and Carbon Footprint Fabricated Metals More Documents & Publications Fabricated Metals (2010 MECS) MECS 2006 - Cement MECS 2006 - Glass...

  10. Fabricated Metals (2010 MECS) | Department of Energy

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

    Fabricated Metals (2010 MECS) Fabricated Metals (2010 MECS) Manufacturing Energy and Carbon Footprint for Fabricated Metals Sector (NAICS 332) Energy use data source: 2010 EIA MECS...

  11. Cement (2010 MECS) | Department of Energy

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

    Cement (2010 MECS) Cement (2010 MECS) Manufacturing Energy and Carbon Footprint for Cement Sector (NAICS 327310) Energy use data source: 2010 EIA MECS (with adjustments) Footprint...

  12. MECS 2006 - All Manufacturing | Department of Energy

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

    Footprint All Manufacturing (NAICS 31-33) More Documents & Publications All Manufacturing (2010 MECS) Plastics and Rubber Products (2010 MECS) MECS 2006 - Alumina and Aluminum...

  13. MECS 2006- Iron and Steel

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Iron and Steel Sector (NAICS 3311, 3312) with Total Energy Input, October 2012 (MECS 2006)

  14. MECS 2006- Food and Beverage

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Food and Beverage (NAICS 311, 312) Sector with Total Energy Input, October 2012 (MECS 2006)

  15. Transportation Equipment (2010 MECS) | Department of Energy

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

    Equipment (2010 MECS) Transportation Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Transportation Equipment Sector (NAICS 336) Energy use data source:...

  16. MECS 2006 - Alumina and Aluminum | Department of Energy

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

    documents Manufacturing Energy and Carbon Footprint Alumina and Aluminum More Documents & Publications Alumina and Aluminum (2010 MECS) MECS 2006 - Cement MECS 2006 - Glass...

  17. Plastics and Rubber Products (2010 MECS) | Department of Energy

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

    Products (2010 MECS) Plastics and Rubber Products (2010 MECS) Manufacturing Energy and Carbon Footprint for Plastics Sector (NAICS 326) Energy use data source: 2010 EIA MECS...

  18. Iron and Steel (2010 MECS) | Department of Energy

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

    Iron and Steel (2010 MECS) Iron and Steel (2010 MECS) Manufacturing Energy and Carbon Footprint for Iron and Steel Sector (NAICS 3311, 3312) Energy use data source: 2010 EIA MECS...

  19. Forest Products Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  20. Fabricated Metals Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  1. Cement Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  2. All Manufacturing Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  3. All Manufacturing Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  4. Chemical Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  5. Transportation Equipment Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  6. Petroleum Refining Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  7. Forest Products Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  8. Aluminum Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  9. Cement Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-01

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  10. Textiles Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  11. Foundries Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  12. Transportation Equipment Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  13. Chemicals Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  14. Fabricated Metals Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-19

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  15. Machinery Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  16. Aluminum Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  17. Textiles Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  18. Foundries Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  19. Petroleum Refining Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  20. Food and Beverage (2010 MECS) | Department of Energy

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

    Food and Beverage (2010 MECS) Food and Beverage (2010 MECS) Manufacturing Energy and Carbon Footprint for Food and Beverage Sector (NAICS 311, 312) Energy use data source: 2010 EIA...

  1. Terminology Radiant Energy (J)

    E-Print Network [OSTI]

    Herrick, Robert R.

    Terminology Radiant Energy (J) Add time Radiant Flux (J/s) add area Hemispherical Directional add, temperature, wavelength, look angle. The temperature of the black body which radiates the same radiant energy as an observed object is called the brightness temperature of the object. Many natural surface materials are well

  2. Foundries (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)Forthcoming Upgrades to the ARM MMCRs:Foundries (2010 MECS)

  3. Computers, Electronics, and Appliances Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  4. Iron and Steel Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  5. Glass and Fiber Glass Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  6. Plastics and Rubber Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  7. Iron and Steel Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  8. Food and Beverage Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  9. Glass and Fiber Glass Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  10. Food and Beverage Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  11. Computers, Electronics, and Appliances Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  12. Plastics and Rubber Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  13. Serie de problemas de Mec^anica Geometrica Jose Natario

    E-Print Network [OSTI]

    Natário, José

    2a S´erie de problemas de Mec^anica Geom´etrica Jos´e Nat´ario 10 de Abril de 2001 1. Se (U, ) ´e¸co vectorial real de dimens~ao n e uma forma bilinear sim´etrica n~ao- degenerada em V. a) Prove que V

  14. Manufacturing Energy and Carbon Footprints (2006 MECS)

    Broader source: Energy.gov [DOE]

    Energy and Carbon Footprints provide a mapping of energy from supply to end use in manufacturing. They show us where energy is used and lostand where greenhouse gases (GHGs) are emitted. Footprints are available below for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. Analysis of these footprints is also available in the U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis report.

  15. Petroleum Refining (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal Fleet Manager SurveyPeter

  16. Teor'ia de Grupos y Mec'anica Qu'antica Luis A. Seco

    E-Print Network [OSTI]

    Seco, Luis A.

    Teor'ia de Grupos y Mec'anica Qu'antica Luis A. Seco Universidad de Toronto. Notas del curso; Teor'ia de Grupos y Mec'anica Cu'antica, L. Seco. U.I.M.P. La Coru~na, 27 Junio -- 1 Julio, 1994. Preliminares Este curso recoge diversos temas que se encuentran a caballo entre la teor'ia de grupos y la mec

  17. Author's personal copy The caBIG terminology review process

    E-Print Network [OSTI]

    Cimino, James J.

    in evaluating four standard terminologies: the Gene Ontology (GO), the NCI Thesaurus (NCIt), the Common

  18. Escola de Inverno de Matematica, IST, 19 de Fevereiro de 2010 Introduc~ao `a Modelac~ao Matematica em Mec^anica dos Fluidos

    E-Print Network [OSTI]

    Baia, Margarida

    ´atica em Mec^anica dos Fluidos Juha H. Videman Resumo · Revis~ao de conceitos b´asicos da mec^anica dos

  19. Short Communication High hydrogen production rate of microbial electrolysis cell (MEC) with

    E-Print Network [OSTI]

    Short Communication High hydrogen production rate of microbial electrolysis cell (MEC) with reduced production rate Microbial electrolysis cell a b s t r a c t Practical applications of microbial electrolysis cells (MECs) require high hydrogen production rates and a compact reactor. These goals can be achieved

  20. Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat PumpsTechnologiesTechnologiesScience & InnovationMaps

  1. MAP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion to localPartnership willLynn Rippe2D,MANTISSA DayMAP

  2. Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy EfficiencyMaps Sign In About |

  3. Electric Market and Utility Operation Terminology (Fact Sheet)

    SciTech Connect (OSTI)

    2011-05-03

    This fact sheet is a list of electric market and utility operation terminology for a series of three electricity fact sheets.

  4. Electric Market and Utility Operation Terminology (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-05-01

    This fact sheet is a list of electric market and utility operation terminology for a series of three electricity fact sheets.

  5. A Glossary of GIS Terminology (92-13)

    E-Print Network [OSTI]

    Padmanabhan, G.; Leipnik, Mark R.; Yoon, Jeawan

    1992-01-01

    A GLOSSARY OF GIS TERMINOLOGY: 92-13 A comprehensiveinformation systems (GIS) and related technologies, with an2. Physical Scientist (GIS Specialist), Mail stop LC277,

  6. A New Approach To Kimberlite Facies Terminology Using A Revised...

    Open Energy Info (EERE)

    volcanic successions consist of both primary volcanic deposits as well as volcanic sediments, terminology must account for both possibilities. Authors Ray Cas, Lucy Porritt,...

  7. Mec^anica Geometrica A entregar ate `a data do 1o exame

    E-Print Network [OSTI]

    Natário, José

    Mec^anica Geom´etrica Ficha 14 A entregar at´e `a data do 1o exame 1. Considere a m´etrica de constante cosmol´ogica para um fluido perfeito sem press~ao, Ric = 4(2dt dt + g) + g, 1 #12;´e equivalente

  8. ficha de exercicios de Mec^anica Geometrica 27 de Marco de 2003

    E-Print Network [OSTI]

    Natário, José

    3a ficha de exerc´icios de Mec^anica Geom´etrica 27 de Mar¸co de 2003 1. Determine os eixos todos os valores do par^ametro)? (b) A equa¸c~ao de Euler e a equa¸c~ao da continuidade para um fluido

  9. ficha de exercicios de Mec^anica Geometrica 9 de Abril de 2002

    E-Print Network [OSTI]

    Natário, José

    5a ficha de exerc´icios de Mec^anica Geom´etrica 9 de Abril de 2002 1. Escreva as equa¸c~oes do isomorfismo vectorial : so(3) R3 tal que A = (A) ? para todo o R3 e A so(3). 3. Seja C um corpo r

  10. ficha de exercicios de Mec^anica Geometrica 2 de Maio de 2003

    E-Print Network [OSTI]

    Natário, José

    5a ficha de exerc´icios de Mec^anica Geom´etrica 2 de Maio de 2003 1. SO(2) S1 age em Q = R2 \\ {0, onde : so(3) R3 ´e o isomorfismo vectorial definido por Ax = (A) ? x para todo o x R3, e fazemos

  11. ficha de exercicios de Mec^anica Geometrica 1 de Abril de 2002

    E-Print Network [OSTI]

    Natário, José

    4a ficha de exerc´icios de Mec^anica Geom´etrica 1 de Abril de 2002 1. Seja (Q, ·, · ) uma sim´etrica de X(p), Y (p) para todo o p N. c) Mostre ainda que se Z : N TN ´e um campo vectorial

  12. Resumos de Mec^anica Geometrica 25 de Junho de 2002

    E-Print Network [OSTI]

    Natário, José

    Resumos de Mec^anica Geom´etrica 25 de Junho de 2002 I. Variedades Pseudo-Riemannianas 1. Uma xi . 11. Um campo vectorial X definido ao longo de um caminho c : R Q diz-se paralelo ao longo de c

  13. ficha de exercicios de Mec^anica Geometrica 15 de Marco de 2002

    E-Print Network [OSTI]

    Natário, José

    2a ficha de exerc´icios de Mec^anica Geom´etrica 15 de Mar¸co de 2002 1. Considere as coordenada (portanto c n~ao ´e uma geod´esica). Seja V um campo vectorial paralelo ao longo de c tal que V (0

  14. Resoluc~ao Sumaria da ficha de exercicios de Mec^anica Geometrica

    E-Print Network [OSTI]

    Natário, José

    Resolu¸c~ao Sum´aria da 2a ficha de exerc´icios de Mec^anica Geom´etrica 9 de Maio de 2002 1), onde 0 0, 2 (portanto c n~ao ´e uma geod´esica). Seja V um campo vectorial paralelo ao longo de c tal

  15. Exame de Mec^anica Geometrica 5 de Fevereiro de 2011 15 horas

    E-Print Network [OSTI]

    Natário, José

    2o Exame de Mec^anica Geom´etrica 5 de Fevereiro de 2011 ­ 15 horas Dura¸c~ao: 3h 1. Recorde que o a correspondente ac¸c~ao infinitesimal associa a cada B so(3) o campo vectorial XB X(SO(3)) dado por (XB)S = BS

  16. Exame de Mec^anica Geometrica (para praticar) 22 de Junho de 2002 9 horas

    E-Print Network [OSTI]

    Natário, José

    Exame de Mec^anica Geom´etrica (para praticar) 22 de Junho de 2002 ­ 9 horas Dura¸c~ao: 3h 1 jXi qj = 0, onde X = Xi qi X(Q) ´e o campo vectorial que gera o grupo a um par^ametro de

  17. ficha de exercicios de Mec^anica Geometrica 18 de Marco de 2003

    E-Print Network [OSTI]

    Natário, José

    1a ficha de exerc´icios de Mec^anica Geom´etrica 18 de Mar¸co de 2003 1. Considere as coordenada geod´esica). Seja V um campo vectorial paralelo ao longo de c tal que V (0) = . Calcule o ^angulo

  18. Research Council Common Terminology for Postgraduate Training Research Councils continue to work together to share best practice and evolve their mechanisms for

    E-Print Network [OSTI]

    with all types of strategic investments and are only available where the Research Council(s) identifyResearch Council Common Terminology for Postgraduate Training Research Councils continue to work A sets out the funding routes used by the different Research Councils as mapped against these approaches

  19. Plastics and Rubber Products (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal FleetUpSmallHydrocarbonPlastics and Rubber

  20. Calculo Diferencial e Integral II Exercicio de Aplicac~ao 6 -Mec^anica de Fluidos

    E-Print Network [OSTI]

    Natário, José

    C´alculo Diferencial e Integral II Exerc´icio de Aplica¸c~ao 6 - Mec^anica de Fluidos Um fluido ´e F = - A pn dV2, onde n ´e a normal unit´aria exterior (o integral de um campo vectorial ´e o vector qualquer campo vectorial v : R3 R3 satisfazen

  1. Analise Matematica III -Turma Especial Ficha Extra 7 -Mec^anica de Fluidos

    E-Print Network [OSTI]

    Natário, José

    An´alise Matem´atica III - Turma Especial Ficha Extra 7 - Mec^anica de Fluidos N~ao precisam de um campo vectorial ´e o vector dos integrais das suas componentes). Use o Teorema da Diverg zero) ent~ao o escoamento ser´a irrotacional em todo o espa¸co. 13. Mostre que qualquer campo vectorial

  2. Terminological Constraint Network Reasoning and its Application to Plan Recognition

    E-Print Network [OSTI]

    Proposal) Columbia University Department of Computer Science Technical Report CUCS02793 Robert Weida September 2, 1993 #12; Contents 1 Introduction 1 2 Overview 1 3 Foundations 4 3.1 Terminological Knowledge : : : : : : : : : : : : 4 3.1.2 Subsumption and Classification : : : : : : : : : : : : : : : : : 5 3.1.3 Computational

  3. English version UNISDR Terminology on Disaster Risk Reduction (2009)

    E-Print Network [OSTI]

    2009-01-01

    version "Terminology: Basic terms of disaster risk reduction" was published in "Living with risk: a global that a society or community considers acceptable given existing social, economic, political, cultural, technical and environmental conditions. Comment: In engineering terms, acceptable risk is also used to assess and define

  4. 206 Bulletin of the Ecological Society of America Invasion Terminology

    E-Print Network [OSTI]

    Davis, Mark A.

    traits of "high-im- pact" invaders. Daehler expresses concern regard- ing the subjectivity of the term206 Bulletin of the Ecological Society of America Invasion Terminology: Should Ecologists Define Their Terms Dif- ferently Than Others? No, Not if We Want to be of Any Help! Daehler (2001) recently argued

  5. Coordination polymers, metalorganic frameworks and the need for terminology

    E-Print Network [OSTI]

    Paik Suh, Myunghyun

    Coordination polymers, metalorganic frameworks and the need for terminology guidelines Stuart R,*f Michael O'Keeffe,g Myunghyun Paik Suhh and Jan Reedijki,j DOI: 10.1039/c2ce06488j Coordination polymers converge into a self-consistent and logical result. This dual situation occurs for coordi- nation polymers

  6. Resoluc~ao Sumaria da ficha de exercicios de Mec^anica Geometrica

    E-Print Network [OSTI]

    Natário, José

    Resolu¸c~ao Sum´aria da 5a ficha de exerc´icios de Mec^anica Geom´etrica 23 de Abril de 2002 1 vectorial : so(3) R3 tal que A = (A) ? para todo o R3 e A so(3). Resolu¸c~ao: Se 0 -c b c 0 -a -b vectorial, uma vez que ´e claramente linear e bijectiva. ´E interessante notar que se A, B so(3), com (A

  7. Resoluc~ao Sumaria da ficha de exercicios de Mec^anica Geometrica

    E-Print Network [OSTI]

    Natário, José

    Resolu¸c~ao Sum´aria da 4a ficha de exerc´icios de Mec^anica Geom´etrica 10 de Abril de 2002 1 : N TN ´e um campo vectorial normal a N ent~ao B(X, Y ), Z = - Y, XZ . Resolu¸c~ao: Come¸camos por vectorial normal a N ent~ao B(X, Y ), Z = ( XY ) , Z = XY - ( XY ) , Z = XY, Z = X · Y, Z - Y, XZ = X · 0

  8. MecE 390 Numerical Methods (Fall 2014) Objectives: To provide a basic familiarity with the numerical methods used by professional engi-

    E-Print Network [OSTI]

    Flynn, Morris R.

    MecE 390 Numerical Methods (Fall 2014) Objectives: To provide a basic familiarity or by appoint- ment. Text: Numerical Methods for Engineers, Sixth edition by Steven C. Chapra and Raymond P of MEC. (For more information, please consult the detailed course schedule on the course homepage

  9. Terminology relating to measurements taken on thin, reflecting films

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    2005-01-01

    1.1 This standard consists of terms and definitions pertaining to measurements taken on thin, reflecting films, such as found in microelectromechanical systems (MEMS) materials. In particular, the terms are related to the standards in Section , which were generated by Committee E08 on Fatigue and Fracture. Terminology E 1823 Relating to Fatigue and Fracture Testing is applicable to this standard. 1.2 The terms are listed in alphabetical order.

  10. Pre-acclimation of a wastewater inoculum to cellulose in an aqueouscathode MEC improves power generation in aircathode MFCs

    E-Print Network [OSTI]

    Pre-acclimation of a wastewater inoculum to cellulose in an aqueouscathode MEC improves power Cellulose Electricity generation Hydrolysis Microaerophilic a b s t r a c t Cellulose has been used in two removals were 5070% based on total cellulose removals of 6080%. Decreasing the reactor volume from 26

  11. Electric Market and Utility Operation Terminology (Fact Sheet), Solar Energy Technologies Program (SETP)

    Broader source: Energy.gov [DOE]

    This fact sheet is a list of electric market and utility operation terminology for a series of three electricity fact sheets.

  12. Title 40 CFR 1508 Terminology and Index for the Council on Environment...

    Open Energy Info (EERE)

    8 Terminology and Index for the Council on Environmental Quality Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: Title 40...

  13. Why-is-terminology-hard-single-r2.doc 14/01/00 15:21 1 Clinical Terminology: Why is it so hard?

    E-Print Network [OSTI]

    Rector, Alan

    will succeed in providing the needed solutions. The difficulty is made more puzzling because special purpose for clinical tasks must be taken into account, so that the intrinsic differences between the needs of users and the needs of software are addressed. This implies that validation of clinical terminologies must include

  14. Location Map

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

    Lane, Michael

    2013-06-27

    Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

  15. Location Map

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

    Lane, Michael

    Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

  16. RSSC GLOSSARY 8/99 GL-1 GLOSSARY OF BASIC RADIATION PROTECTION TERMINOLOGY

    E-Print Network [OSTI]

    Slatton, Clint

    RSSC GLOSSARY 8/99 GL-1 GLOSSARY OF BASIC RADIATION PROTECTION TERMINOLOGY ABSORBED DOSE: The amount of energy absorbed, as a result of radiation passing through a material, per unit mass of material by which energy from radiation is transferred to matter by interactions with the constituents of the matter

  17. 1Revised 9/30/11 Time Recording and Terminology in PeopleSoft

    E-Print Network [OSTI]

    Wu, Shin-Tson

    . Terminology Employee ID Number A unique seven-digit number assigned to each employee by People. Group ID The Group ID is the first four digits of the current Home Department number, (in some instances may be followed by an alpha character). The Group ID is located at the top of the timesheets

  18. Accounts Terminology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications Traditional Knowledge KiosksAbout Awarded projects Computational Systems

  19. restructuring_mecs94

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Feet)64,783Glossary Home >Changing

  20. MECS Fuel Oil Figures

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013(MillionYear5,020CubicCubic(Million:

  1. MECS Fuel Oil Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013(MillionYear5,020CubicCubic(Million:: Actual,

  2. Production of an English/Russian glossary of terminology for nuclear materials control and accounting

    SciTech Connect (OSTI)

    Schachowskoj, S.; Smith, H.A. Jr.

    1995-05-01

    The program plans for Former Soviet Union National Nuclear Materials Control and Accounting (MC and A) Systems Enhancements call for the development of an English/Russian Glossary of MC and A terminology. This glossary was envisioned as an outgrowth of the many interactions, training sessions, and other talking and writing exercises that would transpire in the course of carrying out these programs. This report summarizes the status of the production of this glossary, the most recent copy of which is attached to this report. The glossary contains over 950 terms and acronyms associated with nuclear material control and accounting for safeguards and nonproliferation. This document is organized as follows: English/Russian glossary of terms and acronyms; Russian/English glossary of terms and acronyms; English/Russian glossary of acronyms; and Russian/English glossary of acronyms.

  3. A GLOSSARY OF GIS TERMINOLOGY: 92-13 A comprehensive alphabetical listing of technical terms and their common

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    A GLOSSARY OF GIS TERMINOLOGY: 92-13 A comprehensive alphabetical listing of technical terms and their common meanings and an alphabetical list of acronyms related to geographic information systems (GIS State University, Fargo ND 58105. Email: gpadmana@plains.ndak.edu. 2. Physical Scientist (GIS Specialist

  4. Module No: 410232legal terminology in EnglishModule Title: Co-requisite:Introduction to LawPre-requisite

    E-Print Network [OSTI]

    Module No: 410232legal terminology in EnglishModule Title: Co-requisite:Introduction to LawPre-requisite: Module Type: specialization elective requirementModule level: Second year Evening StudyDaytime StudyInstructorMuhammad Altal E-mailOffice Number Office Phone Academic rank Module coordinator mtal

  5. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Mapping the Nanoscale Landscape Print Wednesday, 27 September 2006 00:00 For the first time, researchers have successfully mapped the chemical...

  6. Site Map

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top Scientific ImpactTechnologies |Site IndexSite Map

  7. Site Map

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3 Outlook forSimulationsSite Map TUNL pdf's |

  8. Progress in the standardization of DSM terminology, reporting formats, and evaluation protocols

    SciTech Connect (OSTI)

    Berry, L.

    1994-10-01

    Evaluations of demand-side management programs are numerous and serve many purposes: assessing effectiveness, promoting program improvements, guiding planning processes, and determining the level of shareholder incentives. Although many program evaluations are available, it is difficult to combine or compare results because of inconsistencies in definitions, reporting formats, and evaluation methods. The increased use of explicit and standardized definitions of terms, consistent data reporting formats, and comparable methods is needed to make combining and comparing results across a range of programs, utilities, and state jurisdictional boundaries possible. Producing consistent and accurate comparisons of program experience is an important, although challenging and, therefore, under utilized, means of identifying the key elements of effective programs and of improving future programs. In spite of the importance of arriving at standard terminology and data reporting conventions, progress is slow. The purpose of this report is to assess progress toward standardization by reviewing attempts to promote standardization and by determining the degree of consistency in various sources. There are a number of efforts to promote standardization including regional utility efforts such as Northeast Regional DSM Data Exchange and NU-Trak in the Pacific Northwest, state regulatory commission requirements, and Lawrence Berkeley Laboratory and Oak Ridge National Laboratory databases and publications, which are national in scope. A variety of other organizations such as the Association of Demand-Side Management Professionals, the Electric Power Research Institute, the National Association of Regulatory Utility Commissioners, the Energy Information Administration, the Synergic Resources Corporation, the Environmental Protection Agency, and the National Association of Energy Service Companies have publications and/or training courses designed to promote greater standardization.

  9. Geologic Maps Geology 200

    E-Print Network [OSTI]

    Kammer, Thomas

    Geologic Maps Geology 200 Geology for Environmental Scientists #12;Geologic Map of the US #12;Symbols found on geologic maps #12;Horizontal Strata #12;Geologic map of part of the Grand Canyon. Each color represents a different formation. #12;Inclined Strata #12;Dome #12;Geologic map of the Black Hills

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

    E-Print Network [OSTI]

    Fishkin, Shelley Fisher

    2011-01-01

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

  11. Career Map: Instrumentation Coordinator

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Instrumentation Coordinator positions.

  12. Introgression & mapping Fiber cell

    E-Print Network [OSTI]

    Germplasm Introgression Genomics & mapping Fiber cell initiation Radiation hybrid (RH) mapping and breeding. Research activities commonly include plant breeding, genetics, genomics, cytogenetics, molecular methods. (C, S) Contribute uniquely to genomics and its relevance to genetic improvement (C,S) Harness

  13. 0-7803-9508-5/05/$20.00 2005 IEEE Risk Analysis Terminology for IT-systems: Does it match intuition?

    E-Print Network [OSTI]

    Stlen, Ketil

    0-7803-9508-5/05/$20.00 2005 IEEE Risk Analysis Terminology for IT-systems: Does it match specific concepts like "threat", "consequence" and "risk" belong to the daily language. In a risk analysis analysis definitions. Risk analyses often use brainstorming techniques to identify risks based

  14. SERC Grants Interactive Map

    Broader source: Energy.gov [DOE]

    View SERC Grants in a larger map. To report corrections, please email SustainableEnergyWAP@ee.doe.gov.

  15. National Hydropower Map

    Broader source: Energy.gov [DOE]

    High-resolution map produced by Oak Ridge National Laboratory showing hydropower resources throughout the United States.

  16. WIPP Projects Interative Map

    Broader source: Energy.gov [DOE]

    View WIPP Projects in a larger map. To report corrections, please emailWeatherizationInnovation@ee.doe.gov.

  17. Flood Inundation Mapping

    E-Print Network [OSTI]

    Pearson, Wendy

    2009-11-18

    for Life Decisions Page 16 Inundation Mapping Activities There are considerable interests across many parts of Central Region. Central Indiana Partnership among NOAA, USGS, Polis Center, and Indiana to develop near real-time inundation maps based... for Life Decisions Page 16 Inundation Mapping Activities There are considerable interests across many parts of Central Region. Central Indiana Partnership among NOAA, USGS, Polis Center, and Indiana to develop near real-time inundation maps based...

  18. MECS 1991 Publications and Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013(MillionYear5,020CubicCubic(Million

  19. Curriculum Mapping . 1 .../...

    E-Print Network [OSTI]

    Laksanacharoen, Sathaporn

    #12; TQF #12; / . 5 / #12; 5 #12;Curriculum Mapping #12 ( (Curriculum Mapping) 1) 2) 1 3) ) #12; 1. - - - - - - - - #12. - - - - - - - - - - 0.3 - Power- point - .. #12;2. ( (CurriculumMapping) ) * 1.4, 1.5 2.2, 2.3, 2.6 3

  20. Historical Maps Online

    E-Print Network [OSTI]

    Rumsey, David Y.

    2005-01-31

    ://www.davidrumsey.com/, which currently has over 10,000 high resolution images of maps from his collection. He has also built a suite of tools for users to experience and interpret the maps online. These include GIS, which allows users to combine historical maps with modern...

  1. Maps & Web Mapping: An Introduction to Cartography Edition (2015)

    E-Print Network [OSTI]

    Clarke, Keith

    2015-01-01

    Showcase Site http://www.pearsonhighered.com/clarke-1e-info/index.html Catalog Link Maps & Web MappingMaps & Web Mapping: An Introduction to Cartography 1st Edition (2015) By Keith Clarke Links

  2. Map-likelihood phasing

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Bioscience Division, Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2001-12-01

    A map-likelihood function is described that can yield phase probabilities with very low model bias. The recently developed technique of maximum-likelihood density modification [Terwilliger (2000 ?), Acta Cryst. D56, 965972] allows a calculation of phase probabilities based on the likelihood of the electron-density map to be carried out separately from the calculation of any prior phase probabilities. Here, it is shown that phase-probability distributions calculated from the map-likelihood function alone can be highly accurate and that they show minimal bias towards the phases used to initiate the calculation. Map-likelihood phase probabilities depend upon expected characteristics of the electron-density map, such as a defined solvent region and expected electron-density distributions within the solvent region and the region occupied by a macromolecule. In the simplest case, map-likelihood phase-probability distributions are largely based on the flatness of the solvent region. Though map-likelihood phases can be calculated without prior phase information, they are greatly enhanced by high-quality starting phases. This leads to the technique of prime-and-switch phasing for removing model bias. In prime-and-switch phasing, biased phases such as those from a model are used to prime or initiate map-likelihood phasing, then final phases are obtained from map-likelihood phasing alone. Map-likelihood phasing can be applied in cases with solvent content as low as 30%. Potential applications of map-likelihood phasing include unbiased phase calculation from molecular-replacement models, iterative model building, unbiased electron-density maps for cases where 2F{sub o} ? F{sub c} or ?{sub A}-weighted maps would currently be used, structure validation and ab initio phase determination from solvent masks, non-crystallographic symmetry or other knowledge about expected electron density.

  3. Allinea MAP at NERSC

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

    Graphical User Interface can be greatly improved if used in conjunction with the free NX software. Introduction Allinea MAP is a parallel profiler with simple Graphical User...

  4. Site Monitoring Area Maps

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

    and roads The spatial location and boundaries for each Site shown on the Site Monitoring Area maps originate from activities conducted under the Compliance Order on Consent with...

  5. Regularity of mappings inverse to Sobolev mappings

    SciTech Connect (OSTI)

    Vodop'yanov, Sergei K [S.L. Sobolev Institute for Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk (Russian Federation)

    2012-10-31

    For homeomorphisms {phi}:{Omega}{yields}{Omega}' on Euclidean domains in R{sup n}, n{>=}2, necessary and sufficient conditions ensuring that the inverse mapping belongs to a Sobolev class are investigated. The result obtained is used to describe a new two-index scale of homeomorphisms in some Sobolev class such that their inverses also form a two-index scale of mappings, in another Sobolev class. This scale involves quasiconformal mappings and also homeomorphisms in the Sobolev class W{sup 1}{sub n-1} such that rankD{phi}(x){<=}n-2 almost everywhere on the zero set of the Jacobian det D{phi}(x). Bibliography: 65 titles.

  6. Mapping in the Cloud: Working with Google Maps and other Mapping Services

    E-Print Network [OSTI]

    Peterson, Michael

    2014-11-19

    :document.getElementById('map'), /*ID of element on the page where you want the map added*/ zoom:10, /*initial zoom level of map*/ latLng:{lat:39.743943, lng:-105.020089}, /*center of map in latitude/longitude*/ mtype...:'map' /*map type (map)*/ }; /*Construct an instance of MQA.TileMap with the options object*/ window.map = new MQA.TileMap(options); /*An example using the MQA.Poi constructor. You will need to pass in an object containing the lat (Latitude) and lng (Longitude...

  7. Photon Maps Photon Tracing

    E-Print Network [OSTI]

    Lischinski, Dani

    Photon Maps Photon Tracing Simulating light propagation by shooting photons from the light sources. Photon Tracing Storing the incidences of photon's path. Implementing surface properties statistically. Russian Roulette. Photon Tracing Photon maps keep: Incidence point (in 3D). The normal at that point

  8. Maps of Selected State Subdivisions

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

    Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map...

  9. Bending map and strong convergence

    E-Print Network [OSTI]

    Schlenker, Jean-Marc

    to a * *complete hyperbolic metric associates its bending measured geodesic lamination. In the p* *resent paper Bending map and strong convergence Abstract The bending map of a hyperbolic 3-manifold with boundary maps a geometr* *ically hyper

  10. Technical Note Engineering Soils Maps

    E-Print Network [OSTI]

    Technical Note Engineering Soils Maps PAUL M. SANTI Department of Geology and Geological, Suite 100, Overland Park, KS 66211 Key Terms: Engineering Properties, Soils, Hazards, Mapping INTRODUCTION For many applications, `engineering soils maps' may be preferable to comprehensive engineering

  11. Mapping the Nanoscale Landscape

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5MappingMapping aMapping

  12. Mapping the Nanoscale Landscape

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5MappingMappingMapping

  13. Arizona Map for Commercial Buildings

    U.S. Energy Information Administration (EIA) Indexed Site

    Home > Households, Buildings & Industry > Background Information on CBECS > 1979-1999 CBECS climate zone map Corrections Corrections to 1979-1999 CBECS Climate Zone Map, February...

  14. The Matrix of Linear Mappings

    E-Print Network [OSTI]

    Aleks Kleyn

    2010-01-27

    On the set of mappings of the given set, we define the product of mappings. If A is associative algebra, then we consider the set of matrices, whose elements are linear mappings of algebra A. In algebra of matrices of linear mappings we define the operation of product. The operation is based on the product of mappings. If the matrix a of linear mappings has an inverse matrix, then the quasideterminant of the matrix a and the inverse matrix are matrices of linear mappings. In the paper, I consider conditions when a matrix of linear mappings has inverse matrix, as well methods of solving a system of linear equations in an associative algebra.

  15. Mapping healthcare information technology

    E-Print Network [OSTI]

    Crawford, William Charles Richards

    2010-01-01

    In this thesis I have developed a map of Healthcare Information Technology applications used in the United States for care delivery, healthcare enterprise management, clinical support, research and patient engagement. No ...

  16. HVAC Performance Maps

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

    h) max. 75% 50% 25% min. Speed Dane Christensen, PhD dane.christensen@nrel.gov National Renewable Energy Laboratory Performance Mapping at NREL NREL develops and validates model...

  17. Dating the Vinland Map

    ScienceCinema (OSTI)

    None

    2013-07-17

    Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

  18. Map of Cuba

    E-Print Network [OSTI]

    1898-01-01

    are pithy stalk grain and juicy stalk sweet sorghums respectively. Following screening, two genetic maps were constructed with 372 and 381 single nucleotide polymorphisms (SNPs) evaluated using an Illumina GoldenGate assay. Analysis of the data in QTL...

  19. Logistic Map Potentials

    E-Print Network [OSTI]

    Thomas Curtright; Andrzej Veitia

    2010-05-27

    We develop and illustrate methods to compute all single particle potentials that underlie the logistic map, x --> sx(1-x) for 02. We illustrate the methods numerically for the cases s=5/2 and s=10/3.

  20. Wind Resource Maps (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01

    The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

  1. Mapping Miss America

    E-Print Network [OSTI]

    Short, Stephen David; Toben, David; Soener, Matt

    2011-11-16

    Using ArcGIS create a layered thematic map for each of the EALS constructs: Examine potential demographic and personality predictors using ArcGIS spatial statistics tools Political Activity Religious Conservatism Creationist... Using ArcGIS create a layered thematic map for each of the EALS constructs: Examine potential demographic and personality predictors using ArcGIS spatial statistics tools Political Activity Religious Conservatism Creationist...

  2. Basic Ideas and Terminology

    E-Print Network [OSTI]

    PRETEX (Halifax NS) #1 1054 1999 Mar 05 10:59:16

    2010-01-20

    Feb 16, 2007 ... If we look back at the examples from the previous section, we see that problems formu- lated using Newton's second law of motion will always...

  3. Buildings Performance Metrics Terminology

    Broader source: Energy.gov [DOE]

    This document provides the terms and definitions used in the Department of Energys Performance Metrics Research Project.

  4. Maps and inverse maps in open quantum dynamics

    E-Print Network [OSTI]

    Thomas F. Jordan

    2008-07-08

    Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital can not have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

  5. Hammond's map of Cuba

    E-Print Network [OSTI]

    C.S. Hammond & Company

    1903-01-01

    and industrial uses currently. Also, the United States wanted to assess and identi fy new data sources on a GIS format for the Mexican side. Therefore, this project produced several maps with the location of channels and ditches along the Valle de Ju...?rez Irrigati on District. This information also will support water planning of the Valle de Ju?r ez Irrigation District 009. The maps were produced from existing digital data regardi ng water resources and by adding thematic layers such as soil salinity...

  6. Mapping the Nanoscale Landscape

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5MappingMapping a

  7. Mapping the Nanoscale Landscape

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5MappingMapping

  8. PARKING MAP Sales Office

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    PARKING MAP BayDr. Main Entrance Parking Sales Office Main Entrance Kiosk East Remote Lot for details DMV Parking Transit Stop Traffic Signal PARTIAL OR FULL LOT CLOSURE Crown Lot 111 Kresge Lot 147M--close-in parking for undergraduate students (lot-specific) EV--charging for electric vehicles MC

  9. PARKING MAP Sales Office

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    PARKING MAP BayDr. Main Entrance Parking Sales Office Main Entrance Kiosk East Remote Lot Parking Transit Stop Traffic Signal PARTIAL OR FULL LOT CLOSURE Stevenson Lot 110 Crown Lot 111 Merrill student parking C--close-in parking for undergraduate students (lot-specific) EV--charging for electric

  10. Biomechanics Track Curriculum Map

    E-Print Network [OSTI]

    Lee, Tonghun

    Biomechanics Track Curriculum Map C MATH 221 (4) Calculus I RHET 105 (4) Principles of Composition) Bioenergetics BIOE 301 (3) Biomechanics BIOE 310 (3) Comp Tools for Bio Data BIOE 303 (2) Quant Human Physiology not graduating on time due to pre-reqs. Biomechanics Track Electives: (Fall) (Spring) (Both Semesters) BIOE 461

  11. REGIONAL TRAVEL MAPS Philadelphia

    E-Print Network [OSTI]

    Gilchrist, James F.

    REGIONAL TRAVEL MAPS 2 hrs. 1 hr. 3 hrs. 4 hrs. 5 hrs. Philadelphia New York City Pittsburgh BostonReadingand Harrisburg 476 476 276 309 309 663 378 309 33 78 80 80 LEHIGH UNIVERSITY Bethlehem Quakertown to Philadelphia Coast including Philadelphia (50 miles south) and New York City (90 miles northeast). Bethlehem

  12. Critical Issues Geologic mapping

    E-Print Network [OSTI]

    Polly, David

    , and productive cooperation with many other organizations all combine to enhance the IGS-bed methane, and geothermal energy. The IGS's important sources of information--geologic maps, rock and core technologies of energy production, such as integrated gasification combined cycle systems and underground coal

  13. Mapping the Competitiveness

    E-Print Network [OSTI]

    Levinson, David M.

    Alberta Oil & Gas Companies Source: InnovationAtlas #12;Mapping the Midwest's Future: Regional Innovation,000 11 GDP Growth Rate 2.0% 117 Life Expectancy 81 14 Urbanization 81% 47 Source: World Bank Top exports: Crude Oil & Bitumen $81.0B Motor Vehicles & Parts $68.1B Consumer Goods $52.1B Intermediate Metal

  14. battery, map parcel, med

    E-Print Network [OSTI]

    Rosenthal, Jeffrey S.

    Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

  15. Servant dictionary battery, map

    E-Print Network [OSTI]

    Rosenthal, Jeffrey S.

    Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

  16. Genomics via Optical Mapping II: Ordered Restriction Maps

    E-Print Network [OSTI]

    Mishra, Bud

    production of ordered restriction maps from individual DNA molecules. Ordered restriction maps were enzyme cleavage sites are visible as gaps that appear flanking the relaxed DNA fragments (pieces that such a restriction map created from one single DNA molecule is limited in its accuracy by the resolution

  17. Title: Ontario Base Map (OBM) [Ontario Basic Mapping] Data Creator /

    E-Print Network [OSTI]

    Title: Ontario Base Map (OBM) [Ontario Basic Mapping] Data Creator / Copyright Owner: Ontario/A Publication Date: N/A Coverage Date(s): N/A Updates: N/A Abstract: In 1975, the Ontario Basic Mapping (OBM) Program was created to provide a common geographic database for the Province of Ontario. This OBM program

  18. FEM: Feature-enhanced map

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

    Afonine, Pavel V.; Moriarty, Nigel W.; Mustyakimov, Marat; Sobolev, Oleg V.; Terwilliger, Thomas C.; Turk, Dusan; Urzhumtsev, Alexandre; Adams, Paul D.

    2015-02-26

    A method is presented that modifies a 2mFobs-DFmodel?A-weighted map such that the resulting map can strengthen a weak signal, if present, and can reduce model bias and noise. The method consists of first randomizing the starting map and filling in missing reflections using multiple methods. This is followed by restricting the map to regions with convincing density and the application of sharpening. The final map is then created by combining a series of histogram-equalized intermediate maps. In the test cases shown, the maps produced in this way are found to have increased interpretability and decreased model bias compared with themorestarting 2mFobs-DFmodel?A-weighted map.less

  19. Alternative Water Sources Map Tool

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program created the Alternative Water Map Tool to provide information about rainwater harvesting regulations throughout the United States. FEMP designed the map to help agencies decide where to implement rainwater harvesting projects.

  20. A map of the universe

    E-Print Network [OSTI]

    2003-01-01

    Boeke, K. , Cosmic View: The Universe in 40 Jumps, John DayTime Travel in Einsteins Universe, p 175, Houghton Mi?in,Fig. 7. Pocket map of the universe Fig. 8a. Map of the

  1. Algebraic entropy for algebraic maps

    E-Print Network [OSTI]

    A. N. W. Hone; O. Ragnisco; F. Zullo

    2015-08-06

    We propose an extension of the concept of algebraic entropy, as introduced by Bellon and Viallet for rational maps, to algebraic maps (or correspondences) of a certain kind. The corresponding entropy is an index of the complexity of the map. The definition inherits the basic properties from the definition of entropy for rational maps. We give an example with positive entropy, as well as two examples taken from the theory of Backlund transformations.

  2. Real-Time Traffic Maps

    E-Print Network [OSTI]

    Goldsberry, Kirk Patrick

    2007-01-01

    weather maps; they both overlay quantitatively dynamic thematic measurements atop a set of stationary geographic reference layers (base data).

  3. Maps | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 |Department of EnergyMapping the Frontier of

  4. Bending map and strong convergence

    E-Print Network [OSTI]

    Schlenker, Jean-Marc

    metric associates its bending measured geodesic lamination. In the present paper, we investigate someBending map and strong convergence Cyril LECUIRE May 2004 Abstract The bending map of a hyperbolic 3-manifold with boundary maps a geometrically hyper- bolic metric to its bending measured geodesic

  5. Solar Career Map | Department of Energy

    Office of Environmental Management (EM)

    Solar Career Map Solar Career Map Solar Career Map Use the Solar Career Map to explore 40 Jobs across 4 industry sectors, and identify more than 60 routes to advancement between...

  6. Mapping Biomass Distribution Potential

    E-Print Network [OSTI]

    Schaetzel, Michael

    2010-11-18

    stream_size 1487 stream_content_type text/plain stream_name ku_gis_day_2010_schaetzel.pdf.txt stream_source_info ku_gis_day_2010_schaetzel.pdf.txt Content-Encoding UTF-8 Content-Type text/plain; charset=UTF-8 Mapping Biomass... Distribution Potential Michael Schaetzel Undergraduate ? Environmental Studies ? University of Kansas L O C A T S I O N BIOMASS ENERGY POTENTIAL o According to DOE, Biomass has the potential to provide 14% of the nations power o Currently 1% of...

  7. Site Map - Cyclotron Institute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top Scientific ImpactTechnologies |Site IndexSite MapSite

  8. NREL: MapSearch

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial Toolkit The GeospatialSolar Energy The(35.93 N,

  9. Directions & Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDiesel prices continueDileepDirections & Maps Directions

  10. MAP | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation, search Name: Lyon-Lincoln Electric CoopMAP Jump to:

  11. Site Map | Geothermal

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report:Speeding access toSmallTechnicalSheldon Glashow and the ElectroweakSite Map

  12. Map to CAMD

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget || Department ofDubey selectedMap

  13. Mapping the Nanoscale Landscape

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget || DepartmentMapping the Nanoscale

  14. Mapping the Nanoscale Landscape

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget || DepartmentMapping the

  15. Research Portfolio Map

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday Production of SOA inResearch Portfolio Map Welcome to the

  16. Maps | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 |Department of EnergyMapping the Frontier of NewNEUP

  17. Site Map | DOEpatents

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3 Outlook forSimulationsSite Map TUNL pdf'sSite

  18. Site Monitoring Area Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3 Outlook forSimulationsSite Map TUNLMaps

  19. Defect mapping system

    DOE Patents [OSTI]

    Sopori, B.L.

    1995-04-11

    Apparatus for detecting and mapping defects in the surfaces of polycrystalline materials in a manner that distinguishes dislocation pits from grain boundaries includes a laser for illuminating a wide spot on the surface of the material, a light integrating sphere with apertures for capturing light scattered by etched dislocation pits in an intermediate range away from specular reflection while allowing light scattered by etched grain boundaries in a near range from specular reflection to pass through, and optical detection devices for detecting and measuring intensities of the respective intermediate scattered light and near specular scattered light. A center blocking aperture or filter can be used to screen out specular reflected light, which would be reflected by nondefect portions of the polycrystalline material surface. An X-Y translation stage for mounting the polycrystalline material and signal processing and computer equipment accommodate rastor mapping, recording, and displaying of respective dislocation and grain boundary defect densities. A special etch procedure is included, which prepares the polycrystalline material surface to produce distinguishable intermediate and near specular light scattering in patterns that have statistical relevance to the dislocation and grain boundary defect densities. 20 figures.

  20. On the harmonic map equation

    E-Print Network [OSTI]

    S. C. Tiwari

    2007-06-09

    A generalized harmonic map equation is presented based on the proposed action functional in the Weyl space (PLA, 135, 315, 1989).

  1. Breaking Points in Quartic Maps

    E-Print Network [OSTI]

    M. Romera; G. Pastor; M. -F. Danca; A. Martin; A. B. Orue; F. Montoya

    2014-12-18

    Dynamical systems, whether continuous or discrete, are used by physicists in order to study non-linear phenomena. In the case of discrete dynamical systems, one of the most used is the quadratic map depending on a parameter. However, some phenomena can depend alternatively of two values of the same parameter. We use the quadratic map $x_{n+1} =1-ax_{n}^{2} $ when the parameter alternates between two values during the iteration process. In this case, the orbit of the alternate system is the sum of the orbits of two quartic maps. The bifurcation diagrams of these maps present breaking points where abruptly change their evolution.

  2. Real-Time Traffic Maps

    E-Print Network [OSTI]

    Goldsberry, Kirk Patrick

    2007-01-01

    Philosophy in Geography by Kirk Patrick Goldsberry Committee2007 The dissertation of Kirk Patrick Goldsberry isTraffic Maps Copyright 2007 by Kirk Patrick Goldsberry iii

  3. Central American geologic map project

    SciTech Connect (OSTI)

    Dengo, G.

    1986-07-01

    During the Northeast Quadrant Panel meeting of the Circum-Pacific Map Project held in Mexico City, February 1985, Central American panel members proposed and adopted plans for compiling a geologic map of Central America, probably at a scale of 1:500,000. A local group with participants from each country was organized and coordinated by Rolando Castillo, director, Central American School of Geology, University of Costa Rica, for the geologic aspects, and Fernando Rudin, director, Geographic Institute of Costa Rica, for the topographic base. In 1956, the US Geological Survey published a geologic map of the region at a scale of 1:1 million. Subsequent topographic and geologic mapping projects have provided a large amount of new data. The entire area is now covered by topographic maps at a scale of 1:50,000, and these maps have been used in several countries as a base for geologic mapping. Another regional map, the Metallogenic Map of Central America (scale = 1:2 million), was published in 1969 by the Central American Research Institute for Industry (ICAITI) with a generalized but updated geologic base map. Between 1969 and 1980, maps for each country were published by local institutions: Guatemala-Belize at 1:500,000, Honduras at 1:500,000, El Salvador at 1:100,000, Nicaragua at 1:1 million, Costa Rica at 1:200,000, and Panama at 1:1 million. This information, in addition to that of newly mapped areas, served as the base for the Central American part of the Geologic-Tectonic Map of the Caribbean Region (scale = 1:2.5 million), published by the US Geological Survey in 1980, and also fro the Northeast Quadrant Maps of the Circum-Pacific Region. The new project also involves bathymetric and geologic mapping of the Pacific and Caribbean margins of the Central American Isthmus. A substantial amount of new information of the Middle America Trench has been acquired through DSDP Legs 67 and 84.

  4. National Mapping Program Technical Instructions

    E-Print Network [OSTI]

    Jane, Greg

    National Mapping Program Technical Instructions Standards for Digital Orthophotos U. S. Department quadrangle (DOQ) header, revise technical standards for overedge imagery, and include color-infrared and true of the Interior U.S. Geological Survey National Mapping Division #12;Standards for Digital Orthophotos 12/96 ii

  5. ALGORITHMS FOR CONSTRUCTING COMPARATIVE MAPS

    E-Print Network [OSTI]

    Kleinberg, Jon

    (i.e. that the segments are homeologous). The construction of comparative maps between the genomes and phylogenetic relationships among species as well as fundamental principles of genome evolution. Comparative maps allow us to use structural and functional information about one genome to make predictions about

  6. SRB distribution for Anosov maps Giovanni Gallavotti

    E-Print Network [OSTI]

    Roma "La Sapienza", Universit di

    1 SRB distribution for Anosov maps Giovanni Gallavotti Fisica Roma 1, I.N.F.N. Abstract: Two lectures on the construction of the SRB distributions for Anosov maps 1. Anosov maps and Gibbs distributions. Anosov maps are the paradigm of systems with chaotic evolution. Here I consider only smooth maps

  7. Brain Surface Conformal Mapping and Brain VolumetricBrain Surface Conformal Mapping and Brain Volumetric Harmonic Map withHarmonic Map with VariationalVariational MethodsMethods

    E-Print Network [OSTI]

    Brain Surface Conformal Mapping and Brain VolumetricBrain Surface Conformal Mapping and Brain Volumetric Harmonic Map withHarmonic Map with VariationalVariational MethodsMethods YalinYalin WangWang11 to the cortical surface matching problem. We further extended the algorithm to find a 3D volumetric harmonic map

  8. Cement (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a lCaribElectricSouthApplying caulk to a window

  9. Chemicals (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a lCaribElectricSouthApplying2-2002 July 2002 DOE

  10. All Manufacturing (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A sCOLONYDepartmentand StaffAliciaManufacturing Energy

  11. MECS 2006 - Cement | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S.LeadershipLumileds R&D ImpactsMARVIN S.

  12. MECS 2006 - Transportation Equipment | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S.LeadershipLumileds R&D ImpactsMARVIN

  13. Textiles (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaics »TanklessResearchEnergy2 DOE Hydrogen andTextiles (2010

  14. Transportation Equipment (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaicsState ofSavingsTransmissionin PEMFC Stacks

  15. Forest Products (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article) |FinalIndustrialFollowingFor yourMatteoForeignForest

  16. Fabricated Metals (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunitiesofExtrans -ORGANIZATION FY 2013MayUncosted3Fabricated Metals

  17. Machinery (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport) | SciTechAdministrationMTBE(TechnicalPartitions Mira

  18. Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping...

    Open Energy Info (EERE)

    and with data-capture methods to allow mapping to fit the needs of the project. Field testing has shown the hardware-software systems to be effective field-based solutions for...

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

    E-Print Network [OSTI]

    Leydesdorff, Loet

    2011-01-01

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

  20. Mappings of Conjugation of Quaternion Algebra

    E-Print Network [OSTI]

    Aleks Kleyn

    2012-06-10

    In the paper I considered mappings of conjugation of quaternion algebra. I proved the theorem that there is unique expansion of R-linear mapping of quaternion algebra relative to the given set of mappings of conjugation.

  1. Mapping Particle Charges in Battery Electrodes

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

    Mapping Particle Charges in Battery Electrodes Mapping Particle Charges in Battery Electrodes Print Friday, 26 July 2013 14:18 The deceivingly simple appearance of batteries masks...

  2. A map of the universe

    SciTech Connect (OSTI)

    Gott III, J. Richard; Juric, Mario; Schlegel, David; Hoyle, Fiona; Vogeley, Michael; Tegmark, Max; Bahcall, Neta; Brinkmann, Jon

    2003-10-20

    We have produced a new conformal map of the universe illustrating recent discoveries, ranging from Kuiper belt objects in the Solar system, to the galaxies and quasars from the Sloan Digital Sky Survey. This map projection, based on the logarithm map of the complex plane, preserves shapes locally, and yet is able to display the entire range of astronomical scales from the Earth s neighborhood to the cosmic microwave background. The conformal nature of the projection, preserving shapes locally, may be of particular use for analyzing large scale structure. Prominent in the map is a Sloan Great Wall of galaxies 1.37 billion light years long, 80 percent longer than the Great Wall discovered by Geller and Huchra and therefore the largest observed structure in the universe.

  3. Texture mapping using tiled textures

    E-Print Network [OSTI]

    Kaur, Avneet

    2004-09-30

    This thesis work presents a simple and practical technique for seamlessly texturing quadrilateral meshes. Using this technique, an isotropic homogeneous texture can be mapped to any quadrilateral mesh without any discontinuity or singularity...

  4. MAPPING CLIMATE CHANGE EXPOSURES, VULNERABILITIES,

    E-Print Network [OSTI]

    MAPPING CLIMATE CHANGE EXPOSURES, VULNERABILITIES, AND ADAPTATION TO PUBLIC HEALTH RISKS's California Climate Change Center JULY 2012 CEC5002012041 Prepared for: California Energy Commission of California. #12; ii ABSTRACT This study reviewed first available frameworks for climate change adaptation

  5. Protein folding using contact maps

    E-Print Network [OSTI]

    Michele Vendruscolo; Eytan Domany

    1999-01-21

    We present the development of the idea to use dynamics in the space of contact maps as a computational approach to the protein folding problem. We first introduce two important technical ingredients, the reconstruction of a three dimensional conformation from a contact map and the Monte Carlo dynamics in contact map space. We then discuss two approximations to the free energy of the contact maps and a method to derive energy parameters based on perceptron learning. Finally we present results, first for predictions based on threading and then for energy minimization of crambin and of a set of 6 immunoglobulins. The main result is that we proved that the two simple approximations we studied for the free energy are not suitable for protein folding. Perspectives are discussed in the last section.

  6. Siegel disk for complexified Henon map

    E-Print Network [OSTI]

    O. B. Isaeva; S. P. Kuznetsov

    2008-04-26

    It is shown that critical phenomena associated with Siegel disk, intrinsic to 1D complex analytical maps, survives in 2D complex invertible dissipative H\\'{e}non map. Special numerical method of estimation of the Siegel disk scaling center position (for 1D maps it corresponds to extremum) for multi-dimensional invertible maps are developed.

  7. Continuity of the bending map Cyril LECUIRE

    E-Print Network [OSTI]

    Schlenker, Jean-Marc

    Continuity of the bending map Cyril LECUIRE May 2004 Abstract The bending map of a hyperbolic 3-manifold maps a convex cocompact hyperbolic metric on a hyperbolic 3-manifold with boundary to its bending measured geodesic lamination. As proved in [KeS] and [KaT], this map is continuous. In the present paper we

  8. Before Mapping After Mapping Area Power Area Delay Power

    E-Print Network [OSTI]

    Pedram, Massoud

    32 Exam- ples Before Mapping After Mapping Area Power Area Delay Power 5xp1 0.93 0.98 0.86 0.82 0 1.01 1.01 1.02 1.07 0.99 duke2 1.01 1.01 0.99 1.13 0.97 e64 1.00 0.51 0.83 1.16 0.50 ex5 0.99 0.89 0.99 0.92 0.96 1.05 0.90 Table 2: Area, delay and power statistics for power script (normalized

  9. Radiometer System to Map the Cosmic Background Radiation

    E-Print Network [OSTI]

    Gorenstein, Marc V.; Muller, Richard A.; Smoot, George F.; Tyson, J. Anthony

    1977-01-01

    SYSTEM TO MAP THE COSMIC BACKGROUND RADIATION RECEIVEDSystem to Map the Cosmic Background Radiation* Marc V.

  10. RIMapperWMS: a Web Map Service providing SVG maps with a built-in client

    E-Print Network [OSTI]

    Kbben, Barend

    RIMapperWMS: a Web Map Service providing SVG maps with a built-in client Barend K Consortium's Web Map Service spec- ification. It serves interactive web maps from a spatial database back application that conforms to the Open Geospatial Con- sortium's (OGC) Web Map Service (WMS) specification. We

  11. BrainMap `95 workshop

    SciTech Connect (OSTI)

    1995-12-31

    The fourth annual BrainMap workshop was held at La Mansion del Rio Hotel in San Antonio December 3--4, 1995. The conference title was ``Human Brain Mapping and Modeling.`` The meeting was attended by 137 registered participants and 30 observers from 82 institutions representing 12 countries. The meeting focused on the technical issues associated with brain mapping and modeling. A total of 23 papers were presented covering the following topics: spatial normalization and registration; functional image analysis; metanalysis and modeling; and new horizons in biological databases. The full program with abstracts was available on the Research Imaging Center`s web site. A book will be published by John Wiley and Sons prior to the end of 1998.

  12. 3D interactive pictorial maps

    E-Print Network [OSTI]

    Naz, Asma

    2005-02-17

    will be used for data representation. I created the map of the United States of America and Europe. I displayed and compared the population density, and political stature of the states or countries by changing the color or heights of the 3D models of different... of height of models. The shades or patterns that represent each data must be clearly identifiable, not only on the legend, where the category boxes are ordered, but also on the map, where there is no predetermined order. If the shades are too similar...

  13. Map | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation, search Name:PowerInformationMantechMap of WindMap

  14. Self-Organizing Map and Axial Spatial Arrangement Topological Mapping of Alternative Designs

    E-Print Network [OSTI]

    Self-Organizing Map and Axial Spatial Arrangement Topological Mapping of Alternative Designs and Axial Spatial Arrangement:Topological Mapping of Alternative Designs properties of the objects alternatives, make it difficult to compare alternatives, and require tedious user intervention. One

  15. How do I display the Map of Wind Farms csv coordinates in ArcMap...

    Open Energy Info (EERE)

    I display the Map of Wind Farms csv coordinates in ArcMap software? Home > Groups > Geospatial I downloaded the Map of Wind Farms data as a .csv from http:en.openei.orgwiki...

  16. February 2011 Mapping the power

    E-Print Network [OSTI]

    Farrell, Anthony P.

    February 2011 5 Mapping the power of sunshine 8 Aboriginal portal emphasizes video 10 The value or less) must be signed and include an address and phone number for verification. Submit letters to campus By Jody Jacob these compounds could potentially be controlled. "Using lavender as our test model

  17. Mapping onto mesh connected multiprocessors

    E-Print Network [OSTI]

    Hangal, Prashant L

    1993-01-01

    solutions to the problem of task allocation in the context of a mesh connected parallel computer. We propose a mapping algorithm that is based on the Kernighan-Lin heuristic of vertex movement to reduce the cost of graph partition coupled with repeated...

  18. Digital Soil Mapping: Interactions with

    E-Print Network [OSTI]

    Grunwald, Sabine

    Chapter 21 Digital Soil Mapping: Interactions with and Applications for Hydropedology J.A. Thompson,1, * S. Roecker,2 S. Grunwald3 and P.R. Owens4 ABSTRACT Spatial information on soils, particularly hydrologic and hydromorphic soil properties, is used to understand and assess soil water retention, flooding

  19. GIS Mapping Technician Prince George

    E-Print Network [OSTI]

    Northern British Columbia, University of

    initiatives through data input, manipulation, and quality control as well as map production. A skilled for setting stumpage rates at levels consistent with forest product markets. BCTS has divided the province apportionment by planning, developing, auctioning and then reforesting those areas from which auctioned timber

  20. Wetland Mapping Matthew J. Gray

    E-Print Network [OSTI]

    Gray, Matthew

    ) Emergency Wetlands Resources Act (1986) Map all U.S. wetlands by 2001 (95%, WI, NM, MT) and provide distance; perpendicular to contour gradient S N W E Transect lower end: permanent water or cardinal 10 m apart = shrub 5 m apart = herbaceous/vine (use the midpoint distance)Linear Wetlands? Secure

  1. Terminologies Trivial extensions and representations

    E-Print Network [OSTI]

    Iyama, Osamu

    . For an artin algebra A over a commutative artinian ring C, D := HomC (-, E0 C (top C)), A = DTrA, -1 A = Tr of Algebra at University of Tsukuba The view from the old seminar at Univesity of Tsukuba Jun-ichi Miyachi November 14, 2013, Nagoya Jun-ichi Miyachi Researches on the Representation Theory of Algebra at Univers

  2. Volumetric painting by texture mapping swept surfaces

    E-Print Network [OSTI]

    Ferguson, John William Rowland

    1998-01-01

    In this thesis, a new non-photorealistic technique, aphics. volumetric painting by texture mapping swept surfaces. is introduced. The goal is to show that applying texture maps to sweeping surfaces is a viable means of creating satisfying images...

  3. Maps and Journeys: an Ethnomethodological Investigation

    E-Print Network [OSTI]

    Brown, Barry; Laurier, Eric

    2005-01-01

    The notion of the cognitive map has long been central to studies of maps, wayfinding and navigation. In this paper we provide an alternate approach to what are often mistakenly taken to be private mental processes which ...

  4. SNL-CRCV Map-580 to CRCV

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

    to be badged Sandia National Laboratories 7011 East Avenue Livermore, CA 94551 Parking Tesla Road CRF Parking 904 906 From OaklandSan Francisco Map Not to Scale Map Not to Scale...

  5. Rwanda forest cover mapping. Author Names

    E-Print Network [OSTI]

    and geoinformatics, in conjunction with national conference on mapping and geo-informatics 2006, 5-8 November 2006

  6. Geographic Resource Map of Frozen Pipe Probabilities

    Broader source: Energy.gov [DOE]

    Presentation slide details a resource map showing the probability of frozen pipes in the geographic United States.

  7. CanGEA Fifth Annual Geothermal Conference Presentation - Mapping...

    Energy Savers [EERE]

    CanGEA Fifth Annual Geothermal Conference Presentation - Mapping & Database Workshop CanGEA Fifth Annual Geothermal Conference Presentation - Mapping & Database Workshop Mapping...

  8. Building Science-Based Climate Maps - Building America Top Innovation...

    Energy Savers [EERE]

    Building Science-Based Climate Maps - Building America Top Innovation Building Science-Based Climate Maps - Building America Top Innovation Photo showing climate zone maps based on...

  9. Workforce Training for the Electric Power Sector: Map of Projects...

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

    Workforce Training for the Electric Power Sector: Map of Projects Workforce Training for the Electric Power Sector: Map of Projects Map showing the number of projects awarded in...

  10. VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1

    E-Print Network [OSTI]

    VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere- gest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate

  11. Unital Positive Maps and Quantum States

    E-Print Network [OSTI]

    M. Asorey; A. Kossakowski; G. Marmo; E. C. G. Sudarshan

    2008-08-04

    We analyze the structure of the subset of states generated by unital completely positive quantum maps, A witness that certifies that a state does not belong to the subset generated by a given map is constructed. We analyse the representations of positive maps and their relation to quantum Perron-Frobenius theory.

  12. VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1

    E-Print Network [OSTI]

    Ferguson, Thomas S.

    VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3 general investigation of 3D volumetric brain har- monic mapping. The motivations for 3D volumetric brain volumetric harmonic map- ping algorithm. The algorithm can work with manifolds with genus zero and non genus

  13. Automated evaluation of generalized topographic maps

    E-Print Network [OSTI]

    in their production lines. Map generalization inevitably changes certain aspects (accuracy, com- pleteness, etcAutomated evaluation of generalized topographic maps -- supported by formalization and data of the author. #12;AUTOMATED EVALUATION OF GENERALIZED TOPOGRAPHIC MAPS -- SUPPORTED BY FORMALIZATION AND DATA

  14. MapReduce SVM Game

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

    Vineyard, Craig M.; Verzi, Stephen J.; James, Conrad D.; Aimone, James B.; Heileman, Gregory L.

    2015-08-10

    Despite technological advances making computing devices faster, smaller, and more prevalent in today's age, data generation and collection has outpaced data processing capabilities. Simply having more compute platforms does not provide a means of addressing challenging problems in the big data era. Rather, alternative processing approaches are needed and the application of machine learning to big data is hugely important. The MapReduce programming paradigm is an alternative to conventional supercomputing approaches, and requires less stringent data passing constrained problem decompositions. Rather, MapReduce relies upon defining a means of partitioning the desired problem so that subsets may be computed independently andmorerecom- bined to yield the net desired result. However, not all machine learning algorithms are amenable to such an approach. Game-theoretic algorithms are often innately distributed, consisting of local interactions between players without requiring a central authority and are iterative by nature rather than requiring extensive retraining. Effectively, a game-theoretic approach to machine learning is well suited for the MapReduce paradigm and provides a novel, alternative new perspective to addressing the big data problem. In this paper we present a variant of our Support Vector Machine (SVM) Game classifier which may be used in a distributed manner, and show an illustrative example of applying this algorithm.less

  15. MapReuse and MapRecycle : Two More Frameworks for Eco-Friendly Data Processing

    E-Print Network [OSTI]

    MapReuse and MapRecycle : Two More Frameworks for Eco-Friendly Data Processing Mary Mc presents an additional two frameworks for eco-friendly data processing: MapReuse and MapRecycle. In both: Share your sensitive data with the general public of researchers. Being eco-friendly is more imporant

  16. The HapMap project has raised high hopes for mapping genetic determinants of complex human

    E-Print Network [OSTI]

    Rosenberg, Noah

    The HapMap project has raised high hopes for mapping genetic determinants of complex human disease for mapping studies in human populations around the world. The HapMap project has characterized haplotype structures across the genome for four human populations with the goal of enabling genome-wide sets of SNPs

  17. Blending World MapBlending World Map ProjectionsProjections Bernhard Jenny, Oregon State University, USA

    E-Print Network [OSTI]

    Clarke, Keith

    Blending World MapBlending World Map ProjectionsProjections Bernhard Jenny, Oregon State University via combination of two projections is well established. Some of the most popular world map projections Tripel projection). These two methods for creating new world map projections are included in the latest

  18. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogen Maps Below are some examples

  19. NREL: Dynamic Maps, GIS Data, and Analysis Tools - International Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogen Maps Below are some

  20. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogen Maps Below are

  1. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogen MapsAdditional Resources Wind

  2. Metrics for comparison of crystallographic maps

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

    Urzhumtsev, Alexandre; Afonine, Pavel V.; Lunin, Vladimir Y.; Terwilliger, Thomas C.; Adams, Paul D.

    2014-10-01

    Numerical comparison of crystallographic contour maps is used extensively in structure solution and model refinement, analysis and validation. However, traditional metrics such as the map correlation coefficient (map CC, real-space CC or RSCC) sometimes contradict the results of visual assessment of the corresponding maps. This article explains such apparent contradictions and suggests new metrics and tools to compare crystallographic contour maps. The key to the new methods is rank scaling of the Fourier syntheses. The new metrics are complementary to the usual map CC and can be more helpful in map comparison, in particular when only some of their aspects,moresuch as regions of high density, are of interest.less

  3. HARMONIC MAPPINGS BETWEEN RIEMANNIAN MANIFOLDS Anand Arvind Joshi

    E-Print Network [OSTI]

    Leahy, Richard M.

    HARMONIC MAPPINGS BETWEEN RIEMANNIAN MANIFOLDS by Anand Arvind Joshi A Thesis Presented ii Abstract iv 1 Harmonic Mappings 1 1.1 Space of Maps Variation Formula . . . . . . . . . . . . . . . . . . . . . . . . 11 1.4 Harmonic Maps

  4. Automatically and Accurately Conflating Orthoimagery and Street Maps

    E-Print Network [OSTI]

    Shahabi, Cyrus

    , such as property survey maps and maps of oil and natural gas fields. Satellite imagery and aerial photography have

  5. Physical mapping of complex genomes

    DOE Patents [OSTI]

    Evans, G.A.

    1993-06-15

    A method for the simultaneous identification of overlapping cosmid clones among multiple cosmid clones and the use of the method for mapping complex genomes are provided. A library of cosmid clones that contains the DNA to be mapped is constructed and arranged in a manner such that individual clones can be identified and replicas of the arranged clones prepared. In preferred embodiments, the clones are arranged in a two dimensional matrix. In such embodiments, the cosmid clones in a row are pooled, mixed probes complementary to the ends of the DNA inserts in the pooled clones are synthesized, hybridized to a first replica of the library. Hybridizing clones, which include the pooled row, are identified. A second portion of clones is prepared by pooling cosmid clones that correspond to a column in the matrix. The second pool thereby includes one clone from the first portion pooled clones. This common clone is located on the replica at the intersection of the column and row. Mixed probes complementary to the ends of the DNA inserts in the second pooled portion of clones are prepared and hybridized to a second replica of the library. The hybridization pattern on the first and second replicas of the library are compared and cross-hybridizing clones, other than the clones in the pooled column and row, that hybridize to identical clones in the first and second replicas are identified. These clones necessarily include DNA inserts that overlap with the DNA insert in the common clone located at the intersection of the pooled row and pooled column. The DNA in the entire library may be mapped by pooling the clones in each of the rows and columns of the matrix, preparing mixed end-specific probes and hybridizing the probes from each row or column to a replica of the library. Since all clones in the library are located at the intersection of a column and a row, the overlapping clones for all clones in the library may be identified and a physical map constructed.

  6. Physical mapping of complex genomes

    DOE Patents [OSTI]

    Evans, Glen A. (Encinitas, CA)

    1993-01-01

    Method for simultaneous identification of overlapping cosmid clones among multiple cosmid clones and the use of the method for mapping complex genomes are provided. A library of cosmid clones that contains the DNA to be mapped is constructed and arranged in a manner such that individual clones can be identified and replicas of the arranged clones prepared. In preferred embodiments, the clones are arranged in a two dimensional matrix. In such embodiments, the cosmid clones in a row are pooled, mixed probes complementary to the ends of the DNA inserts int he pooled clones are synthesized, hybridized to a first replica of the library. Hybridizing clones, which include the pooled row, are identified. A second portion of clones is prepared by pooling cosmid clones that correspond to a column in the matrix. The second pool thereby includes one clone from the first portion pooled clones. This common clone is located on the replica at the intersection of the column and row. Mixed probes complementary to the ends of the DNA inserts in the second pooled portion of clones are prepared and hybridized to a second replica of the library. The hybridization pattern on the first and second replicas of the library are compared and cross-hybridizing clones, other than the clones in the pooled column and row, that hybridize to identical clones in the first and second replicas are identified. These clones necessarily include DNA inserts that overlap with the DNA insert int he common clone located at the intersection of the pooled row and pooled column. The DNA in the entire library may be mapped by pooling the clones in each of the rows and columns of the matrix, preparing mixed end-specific probes and hybridizing the probes from each row or column to a replica of the library. Since all clones in the library are located at the intersection of a column and a row, the overlapping clones for all clones in the library may be identified and a physical map constructed. In other preferred embodiments, the cosmid clones are arranged in a three dimensional matrix, pooled and compared in threes according to intersecting planes of the three dimensional matrix. Arrangements corresponding to geometries of higher dimensions may also be prepared and used to simultaneously identify overlapping clones in highly complex libraries with relatively few hybridization reactions.

  7. Fault Mapping | Open Energy Information

    Open Energy Info (EERE)

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

  8. Field Mapping | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbHFarinello GeothermalFideris Inc formerly1-2003)EmidioMapping Jump to:

  9. ARM - TWP-ICE Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, AlaskaManus Site-Inactive TWP Related Links Facilities andTWP-ICE Maps

  10. WINDExchange: Wind Maps and Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentat LENA|UpcomingVisit UsNews This pageMarketWind Maps and

  11. Site Map | DOE Data Explorer

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3 Outlook forSimulationsSite Map TUNL pdf's

  12. Site Map | ScienceCinema

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3 Outlook forSimulationsSite Map TUNL

  13. Reciprocal Space Mapping for Dummies

    E-Print Network [OSTI]

    Samuele Lilliu; Thomas Dane

    2015-12-28

    Grazing Incidence X-ray Diffraction (GIXD) is a surface sensitive X-ray investigation technique (or geometry configuration) that can reveal the structural properties of a film deposited on a flat substrate. The term grazing indicates that the angle between the incident beam and the film is small (typically below 0.5 degrees). This essential technique has been employed on liquid crystals, nanoparticles and colloids, nanostructures, corrosion processes, polymers, bio-materials, interfaces, materials for solar cells, photodiodes, and transistors, etc. Diffraction patterns in GIXD geometry are typically captured with a 2D detector, which outputs images in pixel coordinates. A step required to perform analyses such as grain size estimation, disorder, preferred orientation, quantitative phase analysis of the probed film surface, etc., consists in converting the diffraction image from pixel coordinates to the momentum transfer or scattering vector in sample coordinates (the reciprocal space mapping). This momentum transfer embeds information on the crystal or polycrystal and its intrinsic rotation with respect to the substrate. In this work we derive, in a rigorous way, the reciprocal space mapping equations for a 3D+1S diffractometer in a way that is understandable to anyone with basic notions of linear algebra, geometry, and X-ray diffraction.

  14. Reciprocal Space Mapping for Dummies

    E-Print Network [OSTI]

    Samuele Lilliu; Thomas Dane

    2015-11-18

    Grazing Incidence X-ray Diffraction (GIXD) is a surface sensitive X-ray investigation technique (or geometry configuration) that can reveal the structural properties of a film deposited on a flat substrate. The term grazing indicates that the angle between the incident beam and the film is small (typically below 0.5 degrees). This essential technique has been employed on liquid crystals, nanoparticles and colloids, nanostructures, corrosion processes, polymers, bio-materials, interfaces, materials for solar cells, photodiodes, and transistors, etc. Diffraction patterns in GIXD geometry are typically captured with a 2D detector, which outputs images in pixel coordinates. A step required to perform analyses such as grain size estimation, disorder, preferred orientation, quantitative phase analysis of the probed film surface, etc., consists in converting the diffraction image from pixel coordinates to the momentum transfer or scattering vector in sample coordinates (the reciprocal space mapping). This momentum transfer embeds information on the crystal or polycrystal and its intrinsic rotation with respect to the substrate. In this work we derive, in a rigorous way, the reciprocal space mapping equations for a 3D+1S diffractometer in a way that is understandable to anyone with basic notions of linear algebra, geometry, and X-ray diffraction.

  15. STAFF CLUB MEMBER LIST (as on February 2008) No. NAME DEPT

    E-Print Network [OSTI]

    Narayanan, H.

    MEC 119 C AMARNATH MEC 120 U N GAITONDE MEC 121 A SUBHASH BABU MEC 122 S S PANDE MEC 123 S L BAPAT MEC

  16. Patent Overlay Mapping: Visualizing Technological Distance

    E-Print Network [OSTI]

    Kay, Luciano; Youtie, Jan; Porter, Alan L; Rafols, Ismael

    2012-01-01

    The purpose of this paper is to present a new global patent map that represents all technological categories, and a method to locate patent data of individual organizations and technological fields on the global map. This second patent overlay map technique is shown to be of potential interest to support competitive intelligence and policy decision-making. The global patent map is based on similarities in citing-to-cited relationships between categories of the International Patent Classification (IPC) of European Patent Office (EPO) patents from 2000 to 2006. This patent dataset, extracted from PatStat database, represents more than 760,000 patent records in more than 400 IPC categories. To illustrate the kind of analytical support offered by this approach, the paper shows the overlay of nanotechnology-related patenting activities of two companies and two different nanotechnology subfields on to the global patent map. The exercise shows the potential of patent overlay maps to visualize technological areas and...

  17. Some examples of exponentially harmonic maps

    E-Print Network [OSTI]

    A D Kanfon; A Fzfa; D Lambert

    2002-05-15

    The aim of this paper is to study some examples of exponentially harmonic maps. We study such maps firstly on flat euclidean and Minkowski spaces and secondly on Friedmann-Lema\\^ itre universes. We also consider some new models of exponentially harmonic maps which are coupled with gravity which happen to be based on a generalization of the lagrangian for bosonic strings coupled with dilatonic field.

  18. OutageMapURL Phases Energy Services

    Open Energy Info (EERE)

    OutageMapURL Phases Energy Services County Electric Power Assn http outages county org A N Electric Coop Virginia AEP Generating Company https www aepaccount com zipr...

  19. A Practical Introduction to MapServer

    E-Print Network [OSTI]

    Lime, Steve

    2008-11-19

    stream_size 3294 stream_content_type text/plain stream_name ku_gis_day_2008_lime.pdf.txt stream_source_info ku_gis_day_2008_lime.pdf.txt Content-Encoding UTF-8 Content-Type text/plain; charset=UTF-8 A Practical... Introduction to MapServer Steve Lime Minnesota DNR GIS Day 2008 @ KU MapServer Past 1995 - C program -> ArcPlot AML 1996 - NASA sponsors ForNet 1997 - shapelib released 1999 - NASA sponsors TerraSIP 2000 - MapServer 3.0 release 2003 - MapServer 4...

  20. Digital Mapping Of Structurally Controlled Geothermal Features...

    Open Energy Info (EERE)

    (PCs) were used to map surface geothermal features at the Bradys Hot Springs and Salt Wells geothermal systems, Churchill County, Nevada, in less time and with greater...

  1. Mapping Particle Charges in Battery Electrodes

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

    of the porous electrode. Using the STXM lithium maps and the high-resolution TEM images, researchers found that LFP battery particles do not charge simultaneously....

  2. Accelerating Read Mapping with FastHASH

    E-Print Network [OSTI]

    Xin, Hongyi; Lee, Donghyuk; Hormozdiari, Farhad; Yedkar, Samihan; Mutlu, Onur; Alkan, Can

    2013-01-01

    within the current human genome project assembly. Genome Res4. 2. 1000 Genomes Project Consortium: A map of human genomea human genome sequenced within the 1000 Genomes Project.

  3. Speech processing using maximum likelihood continuity mapping

    DOE Patents [OSTI]

    Hogden, John E. (Santa Fe, NM)

    2000-01-01

    Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of speech sounds to be mapped to smooth sequences of pseudo-articulator positions. In addition, a method for learning a probabilistic mapping between static speech sounds and pseudo-articulator position is described. The method for learning the mapping between static speech sounds and pseudo-articulator position uses a set of training data composed only of speech sounds. The said speech processing can be applied to various speech analysis tasks, including speech recognition, speaker recognition, speech coding, speech synthesis, and voice mimicry.

  4. Energy Citations Database (ECD) - Site Map

    Office of Scientific and Technical Information (OSTI)

    Site Map Home Basic Search Fielded Search Document Availability About ECD Help FAQ Contact Us Website Policies and Important Links Alerts Log On Alerts Registration Alerts Help...

  5. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been...

  6. Infrared Mapping Helps Optimize Catalytic Reactions

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

    was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared...

  7. Approximations by Orthonormal Mapped Chebyshev Functions for ...

    E-Print Network [OSTI]

    2014-03-12

    a School of Mathematical Science, Xiamen University, 361005 Xiamen, China .... suitable mapping can be used to approximate functions on the whole line R (cf.

  8. Error Analysis for Mapped Jacobi Spectral Methods

    E-Print Network [OSTI]

    2005-08-19

    Nov 30, 2003 ... Journal of Scientific Computing, Vol. 24, No. 2, August ... locally refined grid, a popular strategy is to use a suitable mapping which transforms a...

  9. Infrared Mapping Helps Optimize Catalytic Reactions

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

    The team is now exploring techniques that would permit two- and three-dimensional mapping of catalytic reactions. Multidimensional imaging will give the ability to know...

  10. Canadian Atlas Map Bundle Data Creator /

    E-Print Network [OSTI]

    , Nunavut, Ontario, Prince Edward Island, Quebec, Saskatchewan, Yukon Keywords (Subject): Railroads, mountains, parks and islands. Data Type: Vector Digital Data Format: Shapefile Datum / Map Projection: NAD83

  11. Mapping Particle Charges in Battery Electrodes

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

    Mapping Particle Charges in Battery Electrodes Print The deceivingly simple appearance of batteries masks their chemical complexity. A typical lithium-ion battery in a cell phone...

  12. Mappings and k-spaces

    E-Print Network [OSTI]

    Slama, Carolyn Jeanette

    1970-01-01

    )) ~ Thus, there exists a point q ~ f (p) such that q ~ cl(f (H)). Cases 1 and 2 show by Proposition 2. 9 that f is pseudo-open. I'r ~ttl 2 (j3*. * . * [7]). A ppl 6 from X onto Y 1s pseudo-open if and only if for each p ~ Y and. H ~ Y such that p e cl...(H), there exists a po1nt q ~ f (p) such that q = ? cl(f (R) ) ~ -1 The si &ilarities between this characterization of pseudo-open end the cheractori "atlons we have for perfecC (Proposlt1on 2 3) and b1?quot1ent (Proposition 2. 8) mapping- indicate that a...

  13. U.Va. Map : McCormick Road Area 1 (A4) Albert H. Small Building

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    ) Monroe Hill House/Range (MH3) 32 (B5) Montebello 33 (F1) Morea 34 (G2) Nameless Field 35 (F5) New Cabell*) 14 (F1) 108 Cresap Road 51 (C3) Dell 1 (Studio Art) 52 (C3) Dell 2 (Studio Art) 15 (D3) Dell Science Building (MSB) 25 (E4) Maury Hall (MRY*) 27 (B4) Mechanical Engineering (MEC) 28 (F2) Memorial

  14. NCBI Map Viewer Tutorial NCBI's Map Viewer can be used to visualize an organism's genome and

    E-Print Network [OSTI]

    Levin, Judith G.

    .1" link. Enter GDNF as a search term and click on the "Find" button. Filter your search result for gene sapiens (human) Build 36" link. Enter PRNP as a search term. Name the chromosome on which this gene mutated. Search for "GDNF" in the Map Viewer. Access the Human Map Viewer page by clicking on the Map

  15. The London Underground map The famous London Underground map shows the Thames

    E-Print Network [OSTI]

    Jenny, Bernhard

    of graphic information design. London Transport, of course, continues improving and extending the diagram mapThe London Underground map The famous London Underground map shows the Thames and named metro, was that it brought order into London's intricate geography. Garland 1998:7-8 writes: "Above any consideration

  16. On Constructing a Base Map for Collaborative Map Generation and its Application in Urban Mobility Planning

    E-Print Network [OSTI]

    planning depends largely on the presence of good navigation data in the form of vectorized maps countries. On the other hand, good paper maps collected by the city authorities are widely available. Nevertheless, the integration of these GPS traces is itself a challenge and requires a good base map

  17. New York's Online Invasive Species Database and Mapping System What is iMapInvasives?

    E-Print Network [OSTI]

    Berkowitz, Alan R.

    New York's Online Invasive Species Database and Mapping System What is iMapInvasives? i through batch uploads and quality- controlled online submissions. The New York Natural Heritage Program, and map data www.NYimapinvasives.org Questions? Contact: imapinvasives@nynhp.org Supported by the New York

  18. MINUTES MAPS Board Meeting April 9, 2013, MAPS Office 4-6:30pm

    E-Print Network [OSTI]

    Hitchcock, Adam P.

    operations vs. strategic planning) Must have qualifications and characteristics Must have integrity in MAPS control b. Some changes have already been made c. Things to post include: by-laws, new President. Arlen to lead discussion) c. Discussion of MAPS handbooks and production MAPS handbook

  19. repulsion and quantization in almost-harmonic maps, and asymptotics of the harmonic map flow

    E-Print Network [OSTI]

    Topping, Peter

    .2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2 Almost-harmonic maps - the proof of Theorem 1.2 13 2.1 Basic technology Topping #3; Abstract We present an analysis of bounded-energy low-tension maps between 2-spheres, we show that we can establish a `quantization estimate' which constrains the energy of the map to lie

  20. HARMONIC MAPS AND INTEGRABLE SYSTEMS EMMA CARBERRY

    E-Print Network [OSTI]

    Sydney, University of

    HARMONIC MAPS AND INTEGRABLE SYSTEMS EMMA CARBERRY Abstract. This article has two purposes. The first is to give an ex- pository account of the integrable systems approach to harmonic maps from surfaces to Lie groups and symmetric spaces, focusing on spectral curves for harmonic 2-tori. The most

  1. Current trends in mapping human genes

    SciTech Connect (OSTI)

    Mckusick, V.A. )

    1991-01-01

    The human is estimated to have at least 50,000 expressed genes (gene loci). Some information is available concerning about 5,000 of these gene loci and about 1,900 have been mapped, i.e., assigned to specific chromosomes (and in most instances particular chromosome regions). Progress has been achieved by a combination of physical mapping (e.g., study of somatic cell hybrids and chromosomal in situ hybridization) and genetic mapping (e.g., genetic linkage studies). New methods for both physical and genetic mapping are expanding the armamentarium. The usefulness of the mapping information is already evident; the spin-off from the Human Genome Project (HGP) begins immediately. the complete nucleotide sequence is the ultimate map of the human genome. Sequencing, although already under way for limited segments of the genome, will await further progress in gene mapping, and in particular creation of contig maps for each chromosome. Meanwhile the technology of sequencing and sequence information handling will be developed.

  2. ON THE WELDED TUBE MAP BENJAMIN AUDOUX

    E-Print Network [OSTI]

    Audoux, Benjamin

    ON THE WELDED TUBE MAP BENJAMIN AUDOUX Abstract. This paper investigates the so-called Tube map which connects welded knots, that is a quotient of the virtual knot theory, to ribbon torus-knots with a given filling are in one-to-one correspondence with welded knots before quo- tient under classical

  3. Time and maps Menno-Jan Kraak

    E-Print Network [OSTI]

    Time and maps Menno-Jan Kraak Time and maps ! · Why interested in time? · What is time and · How is time perceived? · How is time represented? Why interested in time? GIScience perspective) - analysis of changes over time - analysis of patterns of change over time ! · Development of methods

  4. INFORMATION SURFING FOR RADIATION MAP BUILDING

    E-Print Network [OSTI]

    technology in radiation detection is not well suited for the type of scenario described. Currently, searchingINFORMATION SURFING FOR RADIATION MAP BUILDING R. A. Cortez , H. G. Tanner , R. Lumia , and C. T a group of mobile sensors to map radiation over a given planar polygonal region. The advantage

  5. Title: Digital Map of Ontario Data Creator /

    E-Print Network [OSTI]

    Title: Digital Map of Ontario Data Creator / Copyright Owner: Ontario Ministry of Natural Resources Publisher: Ontario Ministry of Natural Resources Edition: N/A Versions: N/A Publication Date: 2003 Coverage Date(s): N/A Updates: N/A Abstract: The Digital Map of Ontario is a digital product digitized from

  6. INFORMATION SURFING FOR RADIATION MAP BUILDING

    E-Print Network [OSTI]

    Tanner, Herbert G.

    to envi- ronmental changes, as well as human retasking. Computer simulations and experiments are conducted radiation detectors do not provide any visual or statistical data map of the area in question. If humanINFORMATION SURFING FOR RADIATION MAP BUILDING R. A. Cortez , H. G. Tanner , R. Lumia , and C. T

  7. Good Maps are Straight \\Lambda Eric Harley

    E-Print Network [OSTI]

    Harley, Eric R.

    of the Human Genome Project is to con struct detailed physical maps of the human genome and the genomes for Genome Research Cambridge, MA 02139, USA nat@genome.wi.mit.edu Abstract This paper proposes a simplified approach to the assembly of large physical genome maps. The approach focuses on two key problems: (i

  8. COST ACTION MAPPING AND THE CITIZEN SENSOR

    E-Print Network [OSTI]

    (hazard/risk/vulnerability/damage) ICC 2013, Dresden www.unu-drm.nl Training & capacity building scientist or plain civilian Lay or professional Active or passive Volunteer or paid contributor (e base mapping with GMM/OpenStreetMap (OSM) `Open community'; detailed and accurate Building damage

  9. GROUNDWATER MAPPING AND ASSESSMENT IN BRITISH COLUMBIA

    E-Print Network [OSTI]

    #12;r GROUNDWATER MAPPING AND ASSESSMENT IN BRITISH COLUMBIA VOLUME I: Review and Recommendations and Turner Groundwater Consultants P.O. Box 43001 Victoria, B.C. V8X 3G2 October 1993 #12;DISCLAIMER of Groundwater Information in British Columbia 6 2.1 Sources of Groundwater Mapping and Assessment Information 6

  10. Exploring the Deep... Using ArcMap

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    started Exploring the Ocean Environment Introduction #12;The ArcMap User Interface Table of Contents off the layers above that layer in the Table of Contents. Table of Contents A list of data frames of the current map file. Coordinates Displays the coordinates, in the currently-selected units, of the cursor

  11. Exact map through ideal bends (again?)

    SciTech Connect (OSTI)

    Michelotti, L.

    1995-06-01

    There are three logically independent facets to calculating the transfer map through a bend magnet: physics, geometry, and representation. We will derive the exact map for transit through ideal bends while separating these three, esp., isolating the geometry problem from the other two.

  12. Biharmonic Volumetric Mapping Using Fundamental Solutions

    E-Print Network [OSTI]

    Li, Xin "Shane"

    Biharmonic Volumetric Mapping Using Fundamental Solutions Huanhuan Xu, Wuyi Yu, Shiyuan Gu, and Xin Li, Member, IEEE Computer Society Abstract--We propose a biharmonic model for cross-object volumetric individually. The biharmonic volumetric mapping can be performed in each subregion separately. Unlike

  13. Task mapping for non-contiguous allocations.

    SciTech Connect (OSTI)

    Leung, Vitus Joseph; Bunde, David P. [Knox College, Galesburg, IL; Ebbers, Johnathan [Knox College, Galesburg, IL; Price, Nicholas W. [Knox College, Galesburg, IL; Swank, Matthew [Knox College, Galesburg, IL; Feer, Stefan P. [3M Health Information Systems, Inc., Wallingford, CT; Rhodes, Zachary D. [Allstate Corporation, Northbrook, IL

    2013-02-01

    This paper examines task mapping algorithms for non-contiguously allocated parallel jobs. Several studies have shown that task placement affects job running time for both contiguously and non-contiguously allocated jobs. Traditionally, work on task mapping either uses a very general model where the job has an arbitrary communication pattern or assumes that jobs are allocated contiguously, making them completely isolated from each other. A middle ground between these two cases is the mapping problem for non-contiguous jobs having a specific communication pattern. We propose several task mapping algorithms for jobs with a stencil communication pattern and evaluate them using experiments and simulations. Our strategies improve the running time of a MiniApp by as much as 30% over a baseline strategy. Furthermore, this improvement increases markedly with the job size, demonstrating the importance of task mapping as systems grow toward exascale.

  14. Derivative of Map of Banach algebra

    E-Print Network [OSTI]

    Aleks Kleyn

    2015-05-14

    Let $A$ be Banach algebra over commutative ring $D$. The map $f:A\\rightarrow A\\ $ is called differentiable in the Gateaux sense, if $$f(x+a)-f(x)=\\partial f(x)\\circ a+o(a)$$ where the Gateaux derivative $\\partial f(x)$ of map $f$ is linear map of increment $a$ and $o$ is such continuous map that $$ \\lim_{a\\rightarrow 0}\\frac{|o(a)|}{|a|}=0 $$ Assuming that we defined the Gateaux derivative $\\partial^{n-1} f(x)$ of order $n-1$, we define $$ \\partial^n f(x)\\circ(a_1\\otimes...\\otimes a_n) =\\partial(\\partial^{n-1} f(x)\\circ(a_1\\otimes...\\otimes a_{n-1}))\\circ a_n $$ the Gateaux derivative of order $n$ of map $f$. Since the map $f(x)$ has all derivatives, then the map $f(x)$ has Taylor series expansion $$ f(x)=\\sum_{n=0}^{\\infty}(n!)^{-1}\\partial^n f(x_0)\\circ(x-x_0)^n $$

  15. Technology Forum Map and List of Awardees' Posters and Exhibits...

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

    Technology Forum Map and List of Awardees' Posters and Exhibits Technology Forum Map and List of Awardees' Posters and Exhibits Technology Forum map and list of exhibits.pdf More...

  16. Optimal Path Generation for Monocular Simultaneous Localization and Mapping

    E-Print Network [OSTI]

    Roorda, Timothy Isaac

    2014-09-01

    Monocular Simultaneous Localization and Mapping (MonoSLAM), a derivative of Simultaneous Localization and Mapping (SLAM), is a navigation method for autonomous vehicles that uses only an inertial measurement unit and a camera to map the environment...

  17. Advancement of cotton (Gossypium) radiation hybrid mapping tools

    E-Print Network [OSTI]

    Todd, Steven Michael

    2009-05-15

    The assembly of a robust structural genomics system requires the development and integration of multiple types of genome maps. This research focused on the development of a relatively new means of plant genome mapping, radiation hybrid mapping...

  18. Mapping the geography of student persistence at a research university

    E-Print Network [OSTI]

    Easterly, Douglas P.

    2012-01-01

    D. (2012). Mapping the Geography of Student Persistence at aSAN DIEGO Mapping the Geography of Student Persistence at aDISSERTATION Mapping the Geography of Student Persistence at

  19. Variations in Map Products Demonstrated During the FRMAC Fukushima Daiichi Response

    SciTech Connect (OSTI)

    Pemberton, W. J.

    2012-04-03

    This presentation provides a brief summary of the Fukushima Daiichi disaster, discussion on map uses and production, early phase maps, intermediate phase maps, and late phase maps.

  20. A Literature Review on Value Stream Mapping with a Case Study of Applying Value Stream Mapping on Research Process

    E-Print Network [OSTI]

    Li, Xiaoqi

    2014-04-23

    has two main objectives. The first is an in-depth literature review on value stream mapping, especially concerning useful value stream mapping tools and the application of value stream mapping in construction industry. The literature review of value...

  1. Symplectic Maps and Chromatic Optics in Particle Accelerators...

    Office of Scientific and Technical Information (OSTI)

    Symplectic Maps and Chromatic Optics in Particle Accelerators Citation Details In-Document Search Title: Symplectic Maps and Chromatic Optics in Particle Accelerators You are...

  2. Symplectic Maps and Chromatic Optics in Particle Accelerators...

    Office of Scientific and Technical Information (OSTI)

    Symplectic Maps and Chromatic Optics in Particle Accelerators Citation Details In-Document Search Title: Symplectic Maps and Chromatic Optics in Particle Accelerators Authors: Cai,...

  3. Complete LNG Terminal Status Maps | Department of Energy

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

    Complete LNG Terminal Status Maps Complete LNG Terminal Status Maps A series of slides showing the status of various LNG terminals (existing, under construction, proposed, etc.) in...

  4. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building...

  5. Field Mapping At Blue Mountain Geothermal Area (Fairbank Engineering...

    Open Energy Info (EERE)

    Field Mapping At Blue Mountain Geothermal Area (Fairbank Engineering Ltd, 2003) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At...

  6. Mapping Soil Carbon from Cradle to Grave: Identifying the Microbial...

    Office of Scientific and Technical Information (OSTI)

    Conference: Mapping Soil Carbon from Cradle to Grave: Identifying the Microbial Blueprint for Root-carbon Transformations in Soil Citation Details In-Document Search Title: Mapping...

  7. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

  8. Mapping and Assessment of the United States Ocean Wave Energy...

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

    Mapping and Assessment of the United States Ocean Wave Energy Resource Mapping and Assessment of the United States Ocean Wave Energy Resource This report describes the analysis and...

  9. Mapping Climate Change Vulnerability and Impact Scenarios - A...

    Open Energy Info (EERE)

    Mapping Climate Change Vulnerability and Impact Scenarios - A Guidebook for Sub-national Planners Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Mapping Climate Change...

  10. Energy Department Announces New Mapping Initiative to Advance...

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

    Department Announces New Mapping Initiative to Advance North American Carbon Storage Efforts Energy Department Announces New Mapping Initiative to Advance North American Carbon...

  11. Energy Department Announces New Mapping Initiative to Advance...

    Energy Savers [EERE]

    Energy Department Announces New Mapping Initiative to Advance North American Carbon Storage Efforts Energy Department Announces New Mapping Initiative to Advance North American...

  12. THE EVALUATION MAP AND HOMOLOGY Daniel H. Gottlieb

    E-Print Network [OSTI]

    tant role in the study of evaluation maps of mapping spaces other than XX . The ... The preparation of this paper was supported in part by the National Science.

  13. Infinitely many periodic attractors for holomorphic maps of 2 variables

    E-Print Network [OSTI]

    1910-30-92

    Finally, we apply a linear map which contracts in the horizontal direction and expands in the vertical direction. With the appropriate choice of these maps, the...

  14. Field Mapping At Central Nevada Seismic Zone Region (Shevenell...

    Open Energy Info (EERE)

    Field Mapping At Central Nevada Seismic Zone Region (Shevenell, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At...

  15. Field Mapping At Central Nevada Seismic Zone Region (Blewitt...

    Open Energy Info (EERE)

    Field Mapping At Central Nevada Seismic Zone Region (Blewitt, Et Al., 2003) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At...

  16. Field Mapping At Valles Caldera - Redondo Geothermal Area (Goff...

    Open Energy Info (EERE)

    this new map and cross sections represent the most current understanding of the stratigraphy, structure, and thermal gradients of the Valles caldera. The map and cross sections...

  17. Field Mapping At Valles Caldera - Sulphur Springs Geothermal...

    Open Energy Info (EERE)

    this new map and cross sections represent the most current understanding of the stratigraphy, structure, and thermal gradients of the Valles caldera. The map and cross sections...

  18. The Impact of Using Derived Fuel Consumption Maps to Predict...

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

    The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

  19. Mining Protein Contact Maps Jingjing Hu

    E-Print Network [OSTI]

    Bystroff, Chris

    -local (fre- quent) dense patterns in their contact maps, and compile a library of such non-local interactions methods like clustering, classification, association rules, hidden Markov models, etc. The ability

  20. Thermal Maps of Gases in Heterogeneous Reactions

    E-Print Network [OSTI]

    Jarenwattananon, Nanette N; Otto, Trenton; Melkonian, Arek; Morris, William; Burt, Scott R; Yaghi, Omar M; Bouchard, Louis-S

    2015-01-01

    Over 85% of all chemical industry products are made using catalysts, with the overwhelming majority of these employing heterogeneous catalysts functioning at the gas-solid interface. Consequently, optimizing catalytic reactor design attracts much effort. Such optimization relies on heat transfer and fluid dynamics modeling coupled to surface reaction kinetics. The complexity of these systems demands many approximations, which can only be tested with experimental observations of quantities such as temperature, pressure, concentrations, flow rates, etc. One essential measurement is a map of the spatial variation in temperature throughout the catalyst bed. We present here the first non-invasive maps of gas temperatures in catalyst-filled reactors, including high spatial resolution maps in microreactors enabled by parahydrogen. The thermal maps reveal energy flux patterns whose length scale correlates with the catalyst packing. By exploiting the motional averaging under a weak applied magnetic-field gradient, the...

  1. Solar America Initiative (Across America Map)

    SciTech Connect (OSTI)

    Not Available

    2007-06-01

    This factsheet gives an overview of the Solar America Initiative (SAI) using a map to show locations of the Solar America Cities, Solar America Showcases and other market transformation and research and development projects.

  2. Mental mapping abilities in domestic swine

    E-Print Network [OSTI]

    Scallan, Elizabeth Marie

    2001-01-01

    The presence of the mental mapping abilities, documented in animals such as chimpanzees, squirrels, and birds, was investigated in domestic pigs. Sixteen young, weanling, Landrace x Yorkshire crossbred pigs were selected and placed in two replicate...

  3. GIS-based energy consumption mapping

    E-Print Network [OSTI]

    Balta, Chrysi

    2014-11-27

    This project aims to provide a methodology to map energy consumption of the housing stock at a city level and visualise and evaluate different retrofitting scenarios. It is based on an engineering, bottom-up approach. It ...

  4. University of Arkansas GIS and Maps

    E-Print Network [OSTI]

    Capogna, Luca

    University of Arkansas GIS and Maps Large Format Scanner 1. Intent: The large format scanner as the trainers of the equipment. Reference Staff: Kate Dougherty Donna Daniels Will Bryan (GIS graduate

  5. Science Maps in Action Dr. Katy Brner

    E-Print Network [OSTI]

    Menczer, Filippo

    Science Maps in Action Dr. Katy Brner Cyberinfrastructure for Network Science Center, Director Information Visualization Laboratory, Director School of Library and Information Science Indiana University Computational Scientometrics: Studying Science by Scientific Means Brner, Katy, Chen, Chaomei, and Boyack

  6. Mapping molecular dynamics computations to hypercubes

    E-Print Network [OSTI]

    Lakamsani, Vamsee Krishna

    1993-01-01

    This thesis proposes an approach for systematic modeling, mapping and performance analysis of a Grand Challenge application problem in computational biology called Molecular Dynamics Simulation of Proteins. Molecular Dynamics (MD) is an important...

  7. HCEI Road Map: 2011 Edition (Brochure)

    SciTech Connect (OSTI)

    Braccio, R.; Finch, P.

    2011-08-01

    This road map outlines the 2011 key goals and strategies of the Hawaii Clean Energy Initiative, was founded based on a Memorandum of Understanding between the State of Hawaii and the U.S. Department of Energy in 2008.

  8. CCRS Landcover Maps From Satellite Data

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

    Trishchenko, Alexander

    The Canadian Centre for Remote Sensing (CCRS) presents several landcover maps over the SGP CART site area (32-40N, 92-102W) derived from satellite data including AVHRR, MODIS, SPOT vegetation data, and Landsat satellite TM imagery.

  9. CCRS Landcover Maps From Satellite Data

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

    Trishchenko, Alexander

    2008-01-15

    The Canadian Centre for Remote Sensing (CCRS) presents several landcover maps over the SGP CART site area (32-40N, 92-102W) derived from satellite data including AVHRR, MODIS, SPOT vegetation data, and Landsat satellite TM imagery.

  10. Glenda Romn Geographic Mapping Technologies, Corp.

    E-Print Network [OSTI]

    Gilbes, Fernando

    Government Nature Conservation Social Conflicts Energy Education Agriculture Economic Recovery Pollution Mapping Iowa Floods Bihar, India #12;Utilidades & Infraestructura Network Infrastructure Germany.S. Wells & Pipelines Mexico Oil & Gas Leases Gulf of Mexico Well Production Canada Petroleum Resources

  11. UNBC Campus Map PRINCE GEORGE CAMPUS

    E-Print Network [OSTI]

    Northern British Columbia, University of

    UNBC Campus Map PRINCE GEORGE CAMPUS Continuing Studies Office UNBC Bookstore Security Office in the Conference & Fitness Centre (Building 6). #12;UNBC Prince George Campus Campus Main Entrance Parking Lot B

  12. Maps of Costa Rica; an annotated cartobibliography

    E-Print Network [OSTI]

    Palmerlee, Albert E.

    1965-01-01

    whenever they have been uncovered in the course of the investigation. Careful attention has also been paid to the three notable listings known to the author: Luis Dobles Segreda's Lista de mapas parciales o totales de Costa Rica (San Jos, 1928), Jorge... A. Lines' Bibliografia aborigen de Costa Rica (San Jos, 1944), and the American Geographical Society of New York's Catalog of Maps of Hispanic America (New York, 1930-1932). The pertinent maps from these sources have been included when copies...

  13. Integral of Map into Abelian $?$-group

    E-Print Network [OSTI]

    Aleks Kleyn

    2014-03-12

    The common in ring, module and algebra is that they are Abelian group with respect to addition. This property is enough to study integration. I treat integral of measurable map into normed Abelian $\\Omega$-group. Theory of integration of maps into $\\Omega$-group has a lot of common with theory of integration of functions of real variable. However I had to change some statements, since they implicitly assume either compactness of range or total order in $\\Omega$-group.

  14. CHAOS FROM MAPS Lecture 7: 1-dimensional

    E-Print Network [OSTI]

    Read, Peter L.

    7.1.2 xn+1 = cos xn Fig. 7.1.2 xn x through damped oscillations. 4 #12;7.2 The Logistic Map in lecture 2. Fig. 7.2.1 Let 0 r 4, 0 x 1 map is a parabola with maximum value of r/4 at x = 1 which repeats every 4 generations period-4 cycle. Fig. 7.2.4 Further period doublings to cycles

  15. Effect of noise on the standard mapping

    SciTech Connect (OSTI)

    Karney, C.F.F.; Rechester, A.B.; White, R.B.

    1981-03-01

    The effect of a small amount of noise on the standard mapping is considered. Whenever the standard mapping possesses accelerator models (where the action increases approximately linearly with time), the diffusion coefficient contains a term proportional to the reciprocal of the variance of the noise term. At large values of the stochasticity parameter, the accelerator modes exhibit a universal behavior. As a result the dependence of the diffusion coefficient on stochasticity parameter also shows some universal behavior.

  16. Extinction Maps in the WFAU Archives

    E-Print Network [OSTI]

    Cross, Nicholas

    2015-01-01

    A brief set of notes about the database design for 3D maps of dust extinction in the WFAU Archives, which support data from UKIRT-WFCAM, VISTA and VST. The notes also detail typical use cases, such as getting colour-excesses, extinction-corrections, spectral energy distributions and colour-magnitude diagrams and demonstrate the SQL queries to return data, along with examples from VVV DR2 with bulge extinction maps from Chen et al. (2013).

  17. Comparative Mapping of the Alpaca Genome

    E-Print Network [OSTI]

    Fagundes De Avila, Felipe

    2014-08-06

    and overgo primers and the isolated BAC clones for each marker. BAC clones in bold were used for FISH mapping ...................................................................................................... 50 Table 3. Summary of cytogenetic... ............................................................ 83 Table 5. List of all gene-specific PCR and overgo primers, and the isolated BAC clones. BAC clones in bold were used for FISH mapping ................... 85 Table 6. Chromosomal locations (chromosome:Mb position) of markers used...

  18. Mapping biological ideas: Concept maps as knowledge integration tools for evolution education

    E-Print Network [OSTI]

    Schwendimann, Beat Adrian

    2011-01-01

    use of concept mapping in higher education: Applications inin graduate medical education: A role for concept mappinginterest to evolution education, a concept-rich field that

  19. Mapping with crowds and scientists -what is the difference?

    E-Print Network [OSTI]

    of an existing toolset. ! Neogeography VGI Citizen science Crowd sourcing (turner, 2006) Mapping

  20. Logistic maps General systems Motivating examples in dynamical systems

    E-Print Network [OSTI]

    Climenhaga, Vaughn

    Logistic maps General systems Motivating examples in dynamical systems Vaughn Climenhaga University of Houston October 16, 2012 Vaughn Climenhaga (University of Houston) October 16, 2012 1 / 7 #12;Logistic #12;Logistic maps General systems The logistic map Logistic map: f (x) = x(1 - x) 0 4 x f(x) = 0

  1. Implementing the web map service for the University of Edinburgh

    E-Print Network [OSTI]

    Dai, Songheng

    2007-11-27

    This paper describes for a necessity of new approach to the web based-map service for the University of Edinburgh. An interactive online map is developed to implement the feature of the static map in the web site of the university. The Google Map...

  2. FACILITATING DATA EXPLORATION: DYNAMIC QUERIES ON A HEALTH STATISTICS MAP

    E-Print Network [OSTI]

    Golbeck, Jennifer

    . A thematic map of the United States is animated by adjusting sliders displayed on the side of the map. A time.g. proposing that a demographic factor might be linked to a cause of death.) More recently thematic maps helped in order to access the exact rate in an area. Research on map graphic design (e.g.. [2]) shows that careful

  3. Fast Clustering Methods for Genetic Mapping in Plants

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Fast Clustering Methods for Genetic Mapping in Plants Veronika Strnadova, Aydin Buluc, Leonid Mapping Overview "A genetic map is a list of genetic elements ordered according to their co-segregation patterns" [Computational approaches and software tools for genetic linkage map estimation in plants.(2009

  4. MAP: Concentrating Solar Power Across the United States

    Broader source: Energy.gov [DOE]

    Explore our latest map, charting the location of concentrating solar power plants across the country.

  5. Modern MAP inference methods for accurate and fast occupancy grid mapping on higher order factor graphs

    E-Print Network [OSTI]

    Cafarella, Michael J.

    problems like navigation, path planning, localization and collision avoidance require an estimate on the mobile robot. Robot mapping hence remains an active field of research [3] [5] as it is an important reality. Although robot mapping can be performed in many ways--metric or topological; with range sensors

  6. Efficient FISH mapping with small cDNA probe and its application in comparative mapping

    SciTech Connect (OSTI)

    Heng, H.H.Q.; Shi, X.M.; Tsui, L.C. [Univ. of Toronto, Ontario (Canada)

    1994-09-01

    Gene mapping for fluorescence in situ hybridization (FISH) is generally difficult for small probes, especially cDNA probes. Yet, different cDNA projects have generated large number of clones that can be useful in generating physical and transcription maps and as candidate genes in studying human genetic diseases. To develop an efficient FISH method for mapping small cDNA probes (generally around a few hundred bp in size), we have investigated different hybridization conditions, methods of probe preparation as well as slide preparation. Our results suggest that the efficiency of FISH mapping with cDNA probes is critically dependent on the probe labeling and concentration, the temperature of hybridization and washing, and the concentration of formamide present in the solution. These conditions may be optimized systematically. The use of probe self-ligation to increase {open_quotes}network{close_quotes} formation was another useful signal amplification method. So far, we have been able to determine precise chromosome location for 90% of the cDNA probes (45/50). The sizes of the successfully mapped clones were between 200 bp and 2.5 kb. One important extension of our study has been our ability to map cDNA probes from heterologous species. Nine cDNA clones (390 bp to 3 kb) from mouse, rat, rabbit, chicken, frog and fish were successfully mapped to specific regions of banded human chromosomes. The latter application should greatly facilitate comparative gene mapping and study of genome evolution through identification of syntenic groups.

  7. New York's Online Invasive Species Database and Mapping System What is iMapInvasives?

    E-Print Network [OSTI]

    Berkowitz, Alan R.

    New York's Online Invasive Species Database and Mapping System What is iMapInvasives? i through batch uploads and quality- controlled online submissions. The New York Natural Heritage Program.NYimapinvasives.org Questions? Contact: imapinvasives@nynhp.org Supported by the New York State Environmental Protection Fund

  8. 1Copyright W. Maly SIA Road MapSIA Road Map

    E-Print Network [OSTI]

    Maly, Wojciech P.

    Wojciech Maly Department of Electrical and Computer EngineeringDepartment of Electrical and Computer Engineering1Copyright W. Maly SIA Road MapSIA Road Map andand DESIGN&TESTDESIGN&TEST Wojciech MalyCopyright W. Maly ObjectiveObjective D&T Current and Future ProblemsD&T Current and Future Problems Future

  9. MacauMap: Handheld Digital Map of Macau Robert P. Biuk-Aghai*

    E-Print Network [OSTI]

    Biuk-Aghai, Robert P.

    of traditional maps, while at the same time promoting Macau tourism. MacauMap is a software application running University of Macau Faculty of Science and Technology P.O. Box 3001, Macau Phone: (+853) 3974365 Fax: (+853) 838314 Email: robertb@umac.mo Abstract Tourism is one of the main sources of income of the Macau economy

  10. The momentum map representation of images

    E-Print Network [OSTI]

    M. Bruveris; F. Gay-Balmaz; D. D. Holm; T. S. Ratiu

    2015-04-08

    This paper discusses the mathematical framework for designing methods of large deformation matching (LDM) for image registration in computational anatomy. After reviewing the geometrical framework of LDM image registration methods, a theorem is proved showing that these methods may be designed by using the actions of diffeomorphisms on the image data structure to define their associated momentum representations as (cotangent lift) momentum maps. To illustrate its use, the momentum map theorem is shown to recover the known algorithms for matching landmarks, scalar images and vector fields. After briefly discussing the use of this approach for Diffusion Tensor (DT) images, we explain how to use momentum maps in the design of registration algorithms for more general data structures. For example, we extend our methods to determine the corresponding momentum map for registration using semidirect product groups, for the purpose of matching images at two different length scales. Finally, we discuss the use of momentum maps in the design of image registration algorithms when the image data is defined on manifolds instead of vector spaces.

  11. Symplectic map description of Halley's comet dynamics

    E-Print Network [OSTI]

    G. Rollin; P. Haag; J. Lages

    2015-02-02

    The main features of 1P/Halley chaotic dynamics can be described by a two dimensional symplectic map. Using Mel'nikov integral we semi-analytically determine such a map for 1P/Halley taking into account gravitational interactions from the Sun and the eight planets. We determine the Solar system kick function ie the energy transfer to 1P/Halley along one passage through the Solar system. Our procedure allows to compute for each planet its contribution to the Solar system kick function which appears to be the sum of the Keplerian potential of the planet and of a rotating circular gravitational dipole potential due to the Sun movement around Solar system barycenter. We test the robustness of the symplectic Halley map by directly integrating Newton's equations over $\\sim 2.4\\cdot 10^4$ yr around Y2K and by reconstructing the Solar system kick function. Our results show that the Halley map with fixed parameters gives a reliable description of comet dynamics on time scales of $10^4$ yr while on a larger scales the parameters of the map are slowly changing due to slow oscillations of orbital momentum.

  12. Sustaining the Internet with hyperbolic mapping

    E-Print Network [OSTI]

    Boguna, Marian; Krioukov, Dmitri

    2010-01-01

    The Internet infrastructure is severely stressed. Rapidly growing overhead associated with the primary function of the Internet---routing information packets between any two computers in the world---causes concerns among Internet experts that the existing Internet routing architecture may not sustain even another decade; parts of the Internet have started sinking into black holes already. Here we present a method to map the Internet to a hyperbolic space. Guided with the constructed map, which we release with this paper, Internet routing exhibits scaling properties close to theoretically best possible, thus resolving serious scaling limitations that the Internet faces today. Besides this immediate practical viability, our network mapping method can provide a different perspective on the community structure in complex networks.

  13. Turbine adapted maps for turbocharger engine matching

    SciTech Connect (OSTI)

    Tancrez, M.; Galindo, J.; Guardiola, C.; Fajardo, P.; Varnier, O.

    2011-01-15

    This paper presents a new representation of the turbine performance maps oriented for turbocharger characterization. The aim of this plot is to provide a more compact and suited form to implement in engine simulation models and to interpolate data from turbocharger test bench. The new map is based on the use of conservative parameters as turbocharger power and turbine mass flow to describe the turbine performance in all VGT positions. The curves obtained are accurately fitted with quadratic polynomials and simple interpolation techniques give reliable results. Two turbochargers characterized in an steady flow rig were used for illustrating the representation. After being implemented in a turbocharger submodel, the results obtained with the model have been compared with success against turbine performance evaluated in engine tests cells. A practical application in turbocharger matching is also provided to show how this new map can be directly employed in engine design. (author)

  14. Mapping Particle Charges in Battery Electrodes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget || Department ofDubeyMappingMapping

  15. Mapping Particle Charges in Battery Electrodes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5Mapping ParticleMapping

  16. Campus Parking Map University of California

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    Campus Parking Map University of California BERKELEY #12;Campus Building Locations Parking Lots Campus parking lots are located around and near campus and in the hill areas east of campus. Parking lot/Weekend parking permits are valid weekdays after 5pm and on weekends in , , and designated lots. Parking on campus

  17. TigerTransit Routes & Parking Map

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    PARKING ZONE & LOT ASSIGNMENTS Parking in Princeton University parking lots is by permit only. To obtain in the assigned lot and zone indicated on the vehicle hangtag. Parking in an unassigned lot within a designated20142015 TigerTransit Routes & Parking Map Contact Us Transportation & Parking Services New South

  18. Contemporary Mathematics Quasiconformal mappings on Carnot groups

    E-Print Network [OSTI]

    Cowling, Michael

    of step r of a Lie algebra n is a decomposition of n as a direct sum rj=1nj such that [ni, nj] ni in U if etff(f(p)-1f(pe-tffx)) converges locally uniformly * *in x ____________ 1991 Mathematics, contact map. This research was partly supported by the Australian Research Council and t* *he Swiss

  19. Mapping and Exploring the "Hidden Oregon"

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    and Space Museum #12;Images courtesy of the National Air and Space Museum #12;#12;#12;#12;#12;Goldfinger et, recreation Oil Spill Response, TrackingWave Energy Navigation Products, Services Maps and Visualizations Port Statement is ... Part of governor's public position on ocean stewardship A suggested process ... (communal

  20. Order Parameters for SelfOrganizing Maps

    E-Print Network [OSTI]

    Polani, Daniel

    there is a surprisingly clear agreement which systems are to be subjectively called selforganizing and which not; this idea is used in related models to derive quantities measuring the formation of neural maps in close.e. an equilibrium. The system complexity is reduced by ignoring short lived slave modes, which are removed

  1. Optimal measurements and fixed-point maps

    SciTech Connect (OSTI)

    Dhara, Chirag; Hari Dass, N.D.

    2005-08-15

    When an optimal measurement of (S{sub x},S{sub y},S{sub z}) is made on a qubit and what we call a mutually unbiased mixture of the resulting ensembles is taken, then the post-measurement density matrix is shown to be related to the premeasurement density matrix through a simple linear relation. It is also shown that the form of this relation is the same for all quantum systems. It is shown that for a general quantum system such a relation holds only when the measurements are made in mutually unbiased bases. The post-measurement density matrix is shown to be a normalized incoherent superposition of the identity map and the pin map of Gorini and Sudarshan. A pin map is one which maps all density matrices to a fixed density matrix which in our case turns out to be the unit matrix. The result is shown to be true irrespective of whether the initial state is pure or mixed. For spin-1/2 systems it is also shown explicitly that nonorthogonal measurements fail to give such a linear relation no matter how the ensembles are mixed.

  2. A genetic linkage map of buffelgrass

    E-Print Network [OSTI]

    Jessup, Russell William

    1999-01-01

    of buffelgrass to investigate the molecular basis of apospory and serve as a framework map for marker-facilitated breeding of perennial forage grasses. Buffelgrass (Pennisetum ciliare (L.) Link syn. Cenchrus ciliaris L.) (2n=4x=36), a highly polymorphic...

  3. A Spacetime Map of the Universe

    E-Print Network [OSTI]

    John A. Gowan

    2011-11-20

    A geometric spacetime map of the universe is presented, addressing problems inherent in deep space observations and cosmology. Implications for the observer's perspective, the cosmological "horizon" and "flatness" problem, "inflation", and the recently observed accelerating expansion of the Universe are discussed.

  4. Chemical Storage Map Building: Room: Date

    E-Print Network [OSTI]

    & Eyewash Free-Standing Cabinet Fume Hood Natural Gas Outlet Gas Cylinder Floor-Standing Equipment Hazards shown on the right side of the map template. d. Label natural gas outlets with the symbol shown Refrigerator and/or Freezer 2.2 Non Toxic/Flam Gases 1 cu ft 2.3 Toxic gases 1 cu ft 3 Flammable Liquid 5 gals

  5. Particles, maps and Irreversible Thermodynamics { I

    E-Print Network [OSTI]

    Rondoni, Lamberto

    Particles, maps and Irreversible Thermodynamics { I E. G. D. Cohen The Rockefeller University New Thermodynamics from deterministic dynamics. We #12;nd that these models do not posses the crucial property of local thermodynamic equilibrium, since they rep- resent noninteracting particles systems. Hence

  6. Linkage Disequilibrium Mapping and Parkinson's Disease

    E-Print Network [OSTI]

    Parkinson's Disease Genetics Study Group, Science 279, 1116 (1998); T. Lynch et al., ibid., 278, 1212 (1997Linkage Disequilibrium Mapping and Parkinson's Disease Several investigators (1) have questioned with Parkinson's disease (PD) in four appar- ently unrelated Italian and Greek families, may be a cause

  7. Folded Bifurcation in Coupled Asymmetric Logistic Maps

    E-Print Network [OSTI]

    Shoichi Midorikawa; Takayuki Kubo; Taksu Cheon

    1995-12-28

    A system of coupled two logistic maps, one periodic and the other chaotic, is studied. It is found that with the variation of the coupling strength, the system displays several curious features such as the appearance of quadrupling of period, occurrence of isolated period three attractor and the coexistence of the Hopf and pitchfork bifurcations. Possible applications and extensions are discussed.

  8. GROUNDWATER MAPPING AND ASSESSMENT IN BRITISH COLUMBIA

    E-Print Network [OSTI]

    #12;GROUNDWATER MAPPING AND ASSESSMENT IN BRITISH COLUMBIA VOLUME II: Criteria and Guidelines DOE and Turner Groundwater Consultants P.O. Box 43001 Victoria, B.C. V8X 3G2 October 1993 #12;DISCLAIMER 3H7 #12;TABLE OF CONTENTS Chapter 1 Introduction 1 Chapter 2 Basic Groundwater Concepts

  9. Spatial distribution maps for benthic communities

    E-Print Network [OSTI]

    of multivariate statistics. The object of the thesis is the preparation of maps depicting spatial distribution of geostatistics, image analysis and multivariate statistics in an appropriate data processing scheme has been would like to acknowledge the enthusiasm and energy provided by my marine biologist colleague and close

  10. Jerry Crail Johnson Earth Sciences & Map Library

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Center...) Places to Search Map Library webpages Other Online Sources Chinook (Libraries catalog and agroclimatology, fisheries, forestry, hydrology and water resources, land cover and land use, population and socio http://libraries.colorado.edu/ Search Chinook, the Libraries catalog, to find government datasets

  11. Computing Non- Gaussian Maps of the CMB

    E-Print Network [OSTI]

    Martin Landriau; Paul Shellard

    2003-10-10

    We discuss methods to compute maps of the CMB in models featuring active causal sources and in non-Gaussian models ofinflation. We show our large angle results as well as some preliminary results on small angles. We conclude by discussing on-going work.

  12. Alexander M. de Sherbinin Mapping the

    E-Print Network [OSTI]

    Columbia University

    sets. SEDAC data have been widely used in journal articles and reports focusing on climate change Change and Climate Variability #12;Page intentionally left blank #12;MAPPING THE UNMEASURABLE? SPATIAL ANALYSIS OF VULNERABILITY TO CLIMATE CHANGE AND CLIMATE VARIABILITY Alexander Michael de Sherbinin #12

  13. Mapping the News: How Journalists use GIS

    E-Print Network [OSTI]

    Herzog, David

    2006-11-15

    in January 2002, he was an investigative reporter for the Providence Journal in Rhode Island and editor for computer-assisted reporting at The Morning Call in Allentown, Pa. He is author of the book "Mapping the News: Case Studies in GIS and Journalism" (ESRI...

  14. Hyperinstantons, the Beltrami Equation, and Triholomorphic Maps

    E-Print Network [OSTI]

    Fr, P; Sorin, A S

    2015-01-01

    We consider the Beltrami equation for hydrodynamics and we show that its solutions can be viewed as instanton solutions of a more general system of equations. The latter are the equations of motion for an ${\\cal N}=2$ sigma model on 4-dimensional worldvolume (which is taken locally HyperK\\"ahler) with a 4-dimensional HyperK\\"ahler target space. By means of the 4D twisting procedure originally introduced by Witten for gauge theories and later generalized to 4D sigma-models by Anselmi and Fr\\'e, we show that the equations of motion describe triholomophic maps between the worldvolume and the target space. Therefore, the classification of the solutions to the 3-dimensional Beltrami equation can be performed by counting the triholomorphic maps. The counting is easily obtained by using several discrete symmetries. Finally, the similarity with holomorphic maps for ${\\cal N}=2$ sigma on Calabi-Yau space prompts us to reformulate the problem of the enumeration of triholomorphic maps in terms of a topological sigma mod...

  15. A monotonicity conjecture for real cubic maps

    SciTech Connect (OSTI)

    Dawson, S.P.; Galeeva, R.; Milnor, J.; Tresser, C.

    1993-12-01

    This will be an outline of work in progress. We study the conjecture that the topological entropy of a real cubic map depends ``monotonely`` on its parameters, in the sense that each locus of constant entropy in parameter space is a connected set. This material will be presented in more detail in a later paper.

  16. Mec^anica Estatistica Numero de creditos:4

    E-Print Network [OSTI]

    Levin, Yan

    Renormalizac~ao Metodo Monte Carlo Fluidos Classicos Plasmas e eletrolitos Transic~ao de

  17. Microbial Electrolysis Cells (MECs) for High Yield Hydrogen ...

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

    Hydrogen Production Workshop held September 24-25, 2013, at the National Renewable Energy Laboratory in Golden, Colorado. bioh2workshopren.pdf More Documents &...

  18. Exame de Mec^anica Geometrica Jose Natario

    E-Print Network [OSTI]

    Natário, José

    = r sen sen z = r cos e que a energia cin´etica de uma part´icula de massa m em R3 ´e dada por¸c~ao do seu planeta a 60% da velocidade da luz. Em desespero de causa, decide-se instalar um motor¸c~ao demora 1 ano, mas o novo motor funciona na perfei¸c~ao. A Enterprise parte no encal¸co do espi~ao e

  19. MEC E 230 Introduction to thermo-fluid sciences

    E-Print Network [OSTI]

    Flynn, Morris R.

    . Introduction to fluid mechanics. Fluid properties. Fluid statics. Use of control volumes. Internal flows. Pre in mechanical engineering. The physics of heat transfer and fluid mechanics are introduced. Understand tension in calculating pressure in a fluid Calculate static pressure and forces on immersed objects

  20. UNIVERSIDADE ESTADUAL DE CAMPINAS FACULDADE DE ENGENHARIA MEC

    E-Print Network [OSTI]

    'ul Antonino Feij'oo Co­orientador: Prof. Dr. Hans Ingo Weber Curso: Engenharia Mec??anica ' Area de Concentra¸c~ao: Mec??anica dos S'olidos Trabalho apresentado `a Comiss~ao de P'os­Gradua¸c~ao da Faculdade de Engenharia Mec??anica, como parte dos requisitos para obten¸c~ao do t'itulo de Doutor em Engenharia Mec??anica

  1. Atomismo y Mec\\'anica Cu\\'antica

    E-Print Network [OSTI]

    Canals, Enric Prez

    2015-01-01

    We discuss, from a historiographical point of view, which was the degree of certainty that the physicists directly involved in the birth of Quantum Mechanics (Heisenberg, Born, Jordan, Dirac and Schr\\"odinger) gave to the atomistic hypothesis, starting from 1925, and until the celebration of the 5th Solvay Conference, in October 1927. In particular, we analyze how was tackled the problem of the free particle, and how that affected decisively the interpretations proposed for the new mechanics. We show that, despite focusing on such a narrow period of time, so close to those seminal years, practically all the questions which still prevail nowadays, were then already posed. Except in the case of Schr\\"odinger, there hardly were changes of appreciation of the atomistic hypothesis.

  2. Scheduling-shutdown-2014-MEC v4 web.xlsx

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

    4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 2 Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon...

  3. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUM FOR: JOHNThousandU.S. Energy Information

  4. Manufacturing-Industrial Energy Consumption Survey(MECS) Historical

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUM FOR: JOHNThousandU.S. Energy

  5. Summary of the MECS 2002 User Needs Questionnaire

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2Feet)Thousand7,Year Jan FebDecade Year-09,7, View

  6. Scheduling-shutdown-2014-MEC v4 web.xlsx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatric CancerSchedules of Key EnvironmentalAug

  7. Computers, Electronics and Electrical Equipment (2010 MECS) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartment ofCommercialEnergy Computers, Electronics and

  8. Alumina and Aluminum (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y AEfficiency RebateFederal Energy

  9. MECS 2006 - Computer, Electronics and Appliances | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S.LeadershipLumileds R&D ImpactsMARVIN S.Computer,

  10. Iron and Steel (2010 MECS) | Department of Energy

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

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

  11. Manufacturing Energy and Carbon Footprints (2010 MECS) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget |

  12. Glass and Glass Products (2010 MECS) | Department of Energy

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

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

  13. Food and Beverage (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article) |FinalIndustrialFollowing the Technical Career

  14. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan Project Sites inMannU.S. Energy

  15. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan Project Sites inMannU.S.

  16. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan Project Sites inMannU.S.U.S.

  17. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan Project Sites

  18. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan Project SitesInformation

  19. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan Project

  20. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan ProjectInformation Administration

  1. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan ProjectInformation

  2. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan ProjectInformationInformation

  3. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric Manhattan

  4. Manufacturing Energy Consumption Survey (MECS) - Residential - U.S. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric ManhattanInformation Administration

  5. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric ManhattanInformation

  6. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoric ManhattanInformationAdministration

  7. Manufacturing Energy and Carbon Footprints (2006 MECS) | Department of

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

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

  8. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIARegional energy challengesLower

  9. MAP3S precipitation chemistry network: seventh periodic summary report, 1983. [MAP3S Network

    SciTech Connect (OSTI)

    Rothert, J.E.; Dana, M.T.

    1984-11-01

    This summary report, the seventh in the series, contains complete field and chemical data from the MAP3S Precipitation Chemistry Network for the year 1983. Sections cover QA/QC of the MAP3S/PCN; network history, network site information and a MAP3S/PCN bibliography; and a brief statistical look at the laboratory operations for 1983. There is also a brief statistical summary for 1982 to 1983. Included under the Quality Control section are the QA audits for site performance, laboratory comparisons, field blank and pH test results, and sample shipping and analysis results. Included is a listing of cooperating organizations and personnel for the MAP3S/PCN. 10 references, 10 figures, 32 tables.

  10. repulsion and quantization in almost-harmonic maps, and asymptotics of the harmonic map flow

    E-Print Network [OSTI]

    Topping, Peter

    .1 Basic technology * Abstract We present an analysis of bounded-energy low-tension maps between 2-sphe* *res develop, we show that we can establish a `quantization estimate' which constrains t* *he energy

  11. Computational Aesthetics for Geographic Maps Tobias Isenberg, University of Groningen

    E-Print Network [OSTI]

    from: OpenStreetMap http://www.openstreetmap.org/ Paris, le de la Cit NewYork, Manhattan Dubai, Palm of the world,using different abstraction techniques.For city maps (e.g.,Paris and New

  12. On Consistent Mapping in Distributed Environments using Mobile Sensors

    E-Print Network [OSTI]

    Saha, Roshmik

    2011-10-21

    The problem of robotic mapping, also known as simultaneous localization and mapping (SLAM), by a mobile agent for large distributed environments is addressed in this dissertation. This has sometimes been referred to as the holy grail in the robotics...

  13. ATLAS: a framework for large scale automated mapping and localization

    E-Print Network [OSTI]

    Bosse, Michael Carsten

    2004-01-01

    This thesis describes a scalable robotic navigation system that builds a map of the robot's environment on the fly. This problem is also known as Simultaneous Localization and Mapping (SLAM). The SLAM problem has as inputs ...

  14. Efficient simultaneous localization and mapping algorithms using submap networks

    E-Print Network [OSTI]

    Kim, SungJoon, 1970-

    2004-01-01

    Autonomous mapping of large-scale environments has been a critical challenge confronting researchers in mobile robotics. This thesis investigates two aspects of the large-scale simultaneous localization and mapping (SLAM) ...

  15. The So-Called Velasco Map: A Case of Forgery?

    E-Print Network [OSTI]

    Allen, David Y.

    2006-02-14

    This article examines a well-known map of the northeastern United States and southeastern Canada allegedly made in or around 1610. The map was uncovered in the Spanish Archives at Simancas in 1887. Supposedly, it is a copy ...

  16. Autonomous underwater vehicle navigation and mapping in dynamic, unstructured environments

    E-Print Network [OSTI]

    Kunz, Clayton Gregory

    2012-01-01

    This thesis presents a system for automatically building 3-D optical and bathymetric maps of underwater terrain using autonomous robots. The maps that are built improve the state of the art in resolution by an order of ...

  17. Reading maps as plans : changing perceptions of Delhi

    E-Print Network [OSTI]

    Parthasarathy, Sowmya

    1994-01-01

    The common perception of maps as 'scientific' images and objective records of topographic features has undermined the role of ideology in their evolving form and use. This thesis contends that the structuring of maps and ...

  18. Protein folding using contact maps Michele Vendruscolo and Eytan Domany

    E-Print Network [OSTI]

    Domany, Eytan

    Protein folding using contact maps Michele Vendruscolo and Eytan Domany Department of Physics 26 I. INTRODUCTION Computational approaches to protein folding are divided into two main categories protein fold prediction. Contact maps are a particularly manageable representation of protein structure

  19. Activity Stream - Mapping and Assessment of the United States...

    Open Energy Info (EERE)

    Mapping and Assessment of the United States Ocean Wave Energy Resource 8 months ago Jay Huggins updated the dataset Mapping and Assessment of the United States Ocean Wave Energy...

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

    Office of Environmental Management (EM)

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

  1. Numerical Chaos in a Fractional Order Logistic Map

    E-Print Network [OSTI]

    Joakim Munkhammar

    2010-11-10

    In this paper we investigate a fractional order logistic map and its discrete time dynamics. We show some basic properties of the fractional logistic map and numerically study its period-doubling route to chaos.

  2. Accurate, Low-Energy Trajectory Mapping for Mobile Devices

    E-Print Network [OSTI]

    Thiagarajan, Arvind

    CTrack is an energy-efficient system for trajectory mapping using raw position tracks obtained largely from cellular base station fingerprints. Trajectory mapping, which involves taking a sequence of raw position samples ...

  3. New Mariners and a Massive Map: Berkeley Computers Calculate...

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

    map. SDSS's Famous Places Gallery displays some great shots of galaxies, nebulae and supernovae. Map-making can be a massy business. Not a messy one -- though even ancient mariners...

  4. Seismic Mapping Of The Subsurface Structure At The Ryepatch Geothermal...

    Open Energy Info (EERE)

    Seismic Mapping Of The Subsurface Structure At The Ryepatch Geothermal Reservoir Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Seismic Mapping Of The...

  5. Mapping the Frontier of New Wind Power Potential | Department...

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

    map shows wind potential capacity for turbine hub heights at 140 meters. This map shows wind potential capacity for turbine hub heights at 140 meters. Brie Van Cleve Stakeholder...

  6. Integral Bases for the Universal Enveloping Algebras of Map Algebras

    E-Print Network [OSTI]

    Chamberlin, Samuel Herron

    2011-01-01

    2.2 An Integral Formand Integral Basis . . . . . . . . . . . . .Loop Algebra 2 Integral Bases for the Map Algebras 2.1

  7. A SQL Implementation On The MapReduce Framework Chattopadhyay

    E-Print Network [OSTI]

    Cortes, Corinna

    and execution techniques [10, 12, 20]. At the same time, distributed DBMS vendors have integrated the Map

  8. Map of Geologic Sequestration Training and Research Projects

    Broader source: Energy.gov [DOE]

    A larger map of FE's Geologic Sequestration Training and Research Projects awarded as part of the Recovery Act.

  9. Mapping Hawking into Unruh for global embeddings

    E-Print Network [OSTI]

    Wen-Yuan Ai; Hua Chen; Jian-Bo Deng

    2014-10-15

    We study the mechanism of global embeddings into the Minkowski spacetime(GEMS) with the Hawking into Unruh mapping. We find a constraint that the extrinsic acceleration of the static observer in the Riemann space must satisfy for such embeddings. Thus the question raised by Paston in Ref.\\cite{1}, that is, when does the Hawking into Unruh mapping for global embeddings work, is partly addressed. We also calculate the potential barrier of a scalar field to reach r $\\rightarrow\\infty$ in the ambient space. The results show that the potential barrier is finite, hence the static observer at r $\\rightarrow\\infty$ can indeed detect the radiation caused by the Unruh effect from the embedding view. However the potential barriers calculated in both the Riemann background and the Minkowski background are not coincident, therefore the GEMS approach is not complete and the Hawking effect can be distinguished from the Unruh effect of the GEMS in principle.

  10. Modular multiplication operator and quantized baker's maps

    SciTech Connect (OSTI)

    Lakshminarayan, Arul [Max-Planck-Institut fuer Physik komplexer Systeme, Noethnitzer Strasse 38, D-01187 Dresden (Germany)

    2007-10-15

    The modular multiplication operator, a central subroutine in Shor's factoring algorithm, is shown to be a coherent superposition of two quantum baker's maps when the multiplier is 2. The classical limit of the maps being completely chaotic, it is shown that there exist perturbations that push the modular multiplication operator into regimes of generic quantum chaos with spectral fluctuations that are those of random matrices. For the initial state of relevance to Shor's algorithm we study fidelity decay due to phase and bit-flip errors in a single qubit and show exponential decay with shoulders at multiples or half-multiples of the order. A simple model is used to gain some understanding of this behavior.

  11. AGM2015: Antineutrino Global Map 2015

    E-Print Network [OSTI]

    Usman, Shawn M; Dye, Stephen T; McDonough, William F; Learned, John G

    2015-01-01

    Every second greater than $10^{25}$ antineutrinos radiate to space from Earth, shining like a faint antineutrino star. Underground antineutrino detectors have revealed the rapidly decaying fission products inside nuclear reactors, verified the long-lived radioactivity inside our planet, and informed sensitive experiments for probing fundamental physics. Mapping the anisotropic antineutrino flux and energy spectrum advance geoscience by defining the amount and distribution of radioactive power within Earth while critically evaluating competing compositional models of the planet. We present the Antineutrino Global Map 2015 (AGM2015), an experimentally informed model of Earth's surface antineutrino flux over the 0 to 11 MeV energy spectrum, along with an assessment of systematic errors. The open source AGM2015 provides fundamental predictions for experiments, assists in strategic detector placement to determine neutrino mass hierarchy, and aids in identifying undeclared nuclear reactors. We use cosmochemically a...

  12. Hamiltonian Maps and Transport in Structured Fluids

    E-Print Network [OSTI]

    Jeffrey B. Weiss

    1993-11-20

    Structures such as waves, jets, and vortices have a dramatic impact on the transport properties of a flow. Passive tracer transport in incompressible two-dimensional flows is described by Hamiltonian dynamics, and, for idealized structures, the system is typically integrable. When such structures are perturbed, chaotic trajectories can result which can significantly change the transport properties. It is proposed that the transport due to the chaotic regions can be efficiently calculated using Hamiltonian mappings designed specifically for the structure of interest. As an example a new map is constructed, appropriate for studying transport by propagating isolated vortices. It is found that a perturbed vortex will trap fluid parcels for varying lengths of time, and that the distribution of such trapping times has slopes which are independent of the amplitudes of both the vortex and the perturbation.

  13. A representation formula for maps on supermanifolds

    SciTech Connect (OSTI)

    Helein, Frederic [Institut de Mathematiques de Jussieu, UMR 7586, Universite Denis Diderot-Paris 7, Case 7012, 2 place Jussieu, 75251 Paris Cedex 5 (France)

    2008-02-15

    We analyze the notion of morphisms of rings of superfunctions which is the basic concept underlying the definition of supermanifolds as ringed spaces (i.e., following Berezin, Leites, Manin, etc.). We establish a representation formula for all (pull-back) morphisms from the algebra of functions on an ordinary manifolds to the superalgebra of functions on an open subset of a superspace. We then derive two consequences of this result. The first one is that we can integrate the data associated with a morphism in order to get a (nonunique) map defined on an ordinary space (and uniqueness can be achieved by restriction to a scheme). The second one is a simple and intuitive recipe to compute pull-back images of a function on a manifold M by a map from a superspace to M.

  14. Anomalous synchronization threshold in coupled logistic maps

    E-Print Network [OSTI]

    C. Anteneodo; A. M. Batista; R. L. Viana

    2005-04-05

    We consider regular lattices of coupled chaotic maps. Depending on lattice size, there may exist a window in parameter space where complete synchronization is eventually attained after a transient regime. Close outside this window, an intermittent transition to synchronization occurs. While asymptotic transversal Lyapunov exponents allow to determine the synchronization threshold, the distribution of finite-time Lyapunov exponents, in the vicinity of the critical frontier, is expected to provide relevant information on phenomena such as intermittency. In this work we scrutinize the distribution of finite-time exponents when the local dynamics is ruled by the logistic map $x \\mapsto 4x(1-x)$. We obtain a theoretical estimate for the distribution of finite-time exponents, that is markedly non-Gaussian. The existence of correlations, that spoil the central limit approximation, is shown to modify the typical intermittent bursting behavior. The present scenario could apply to a wider class of systems with different local dynamics and coupling schemes.

  15. Route to chaos in generalized logistic map

    E-Print Network [OSTI]

    Rafa? Rak; Ewa Rak

    2015-02-01

    Motivated by a possibility to optimize modelling of the population evolution we postulate a generalization of the well-know logistic map. Generalized difference equation reads: \\begin{equation} x_{n+1}=rx^p_n(1-x^q_n), \\end{equation} $x\\in[0,1],\\;(p,q)>0,\\;n=0,1,2,...$, where the two new parameters $p$ and $q$ may assume any positive values. The standard logistic map thus corresponds to the case $p=q=1$. For such a generalized equation we illustrate the character of the transition from regularity to chaos as a function of $r$ for the whole spectrum of $p$ and $q$ parameters. As an example we consider the case for $p=1$ and $q=2$ both in the periodic and chaotic regime. We focus on the character of the corresponding bifurcation sequence and on the quantitative nature of the resulting attractor as well as its universal attribute (Feigenbaum constant).

  16. Mapping mesoscale heterogeneity in the plastic deformation of a copper single crystal

    E-Print Network [OSTI]

    Magid, K. R.

    2009-01-01

    619. page 18 Mapping mesoscale heterogeneity in a deformedthese planes. page 36 Mapping mesoscale heterogeneity in aJanuary 2009, 77107 Mapping mesoscale heterogeneity in the

  17. The US Muon Accelerator Program (MAP)

    SciTech Connect (OSTI)

    Bross, Alan D.; /Fermilab

    2010-12-01

    The US Department of Energy Office of High Energy Physics has recently approved a Muon Accelerator Program (MAP). The primary goal of this effort is to deliver a Design Feasibility Study for a Muon Collider after a 7 year R&D program. This paper presents a brief physics motivation for, and the description of, a Muon Collider facility and then gives an overview of the program. I will then describe in some detail the primary components of the effort.

  18. The US Muon Accelerator Program (MAP)

    SciTech Connect (OSTI)

    Bross, Alan D.

    2011-10-06

    The US Department of Energy Office of High Energy Physics has recently approved a Muon Accelerator Program (MAP). The primary goal of this effort is to deliver a Design Feasibility Study for a Muon Collider after a 7 year R and D program. This paper presents a brief physics motivation for, and the description of, a Muon Collider facility and then gives an overview of the program. I will then describe in some detail the primary components of the effort.

  19. Harmonic maps on domains with piecewise Lipschitz continuous metrics

    E-Print Network [OSTI]

    Wang, Changyou

    Harmonic maps on domains with piecewise Lipschitz continuous metrics Haigang Li , Changyou Wang consider harmonic map from (, g) to a compact Rie- mannian manifold (N, h) Rk without boundary. We generalize the notion of stationary harmonic maps and prove their partial regularity. We also discuss

  20. An Automated Method for Digitizing Color Thematic Maps

    E-Print Network [OSTI]

    Lawrence, Rick L.

    was to capture analog maps in three color bands using a digital camera and perform a su- pervised classification on the resulting digital images to pro- duce digital thematic maps for GIS analysis. Post classification proceduresAn Automated Method for Digitizing Color Thematic Maps Rick L. Lawrence, Joseph E. Means

  1. Laser and Vision Based Outdoor Object Mapping Bertrand Douillard

    E-Print Network [OSTI]

    Washington at SeattleUniversity of

    Laser and Vision Based Outdoor Object Mapping Bertrand Douillard ARC Centre of Excellence (CRF) to jointly classify laser returns in a 2D scan map into seven object types (car, wall, tree trunk triangulation of the laser map. Our model incorporates laser shape features, visual appearance features

  2. Curriculum Support Maps for the Study of Indiana Coal

    E-Print Network [OSTI]

    Polly, David

    Curriculum Support Maps for the Study of Indiana Coal By Walt Gray Targeted Age: High SchoolMap to create geographic information systems (GIS) maps to demonstrate the distribution of coal mines within comprehension of the data presented to them. It is expected that students have studied the process of coal

  3. The global pairwise approach to radiation hybrid mapping

    E-Print Network [OSTI]

    Hastie, Trevor

    The global pairwise approach to radiation hybrid mapping Robert Tibshirani \\Lambda Laura Lazzeroni maps from radiation hybrid data is pro posed. It uses maximization of a pseudolikelihood based for constructing maps from radiation hybrid data. The method depends upon a novel statistical criterion for iden

  4. ForPeerReview Information Surfing for Radiation Map Building

    E-Print Network [OSTI]

    ForPeerReview Information Surfing for Radiation Map Building Journal: The International Journal that coordinates a group of mobile sensors to map radiation over a given planar polygonal region. The advantagePeerReview Information Surfing for Radiation Map Building R. Andres Cortez , Herbert G. Tanner , Ron Lumia , and Chaouki

  5. MAPPING HIGH-RESOLUTION LAND SURFACE RADIATIVE FLUXES FROM MODIS

    E-Print Network [OSTI]

    Liang, Shunlin

    Chapter 6 MAPPING HIGH-RESOLUTION LAND SURFACE RADIATIVE FLUXES FROM MODIS: ALGORITHMS.1007/978-1-4419-0050-0_6, #12;142 Mapping Radiative Fluxes There are several global radiative flux data sets derived from either. For example, the CERES team uses the predefined albedo and emissivity maps to calculate surface radiative

  6. Energy Efficient Map Interpolation for Sensor Fields Using Kriging

    E-Print Network [OSTI]

    Huang, Yan

    Energy Efficient Map Interpolation for Sensor Fields Using Kriging Brian Harrington, Yan Huang, Jue Experimental results Conclusion Energy Efficient Map Interpolation for Sensor Fields Using Kriging p.1/5 #12;Motivation Energy Efficient Map Interpolation for Sensor Fields Using Kriging p.2/5 #12;Motivation Many

  7. CONTROLLED TOPOLOGICAL EQUIVALENCE OF MAPS IN THE THEORY OF

    E-Print Network [OSTI]

    Hughes, Bruce

    CONTROLLED TOPOLOGICAL EQUIVALENCE OF MAPS IN THE THEORY OF STRATIFIED SPACES AND APPROXIMATE connections among the theories of topological stability of maps, controlled topology, and stratified spaces FIBRATIONS Bruce Hughes ??? ?º Ideas from the theory of topological stability of smooth maps are trans

  8. Geologic mapping of tectonic planets Vicki L. Hansen *

    E-Print Network [OSTI]

    Hansen, Vicki

    Geologic mapping of tectonic planets Vicki L. Hansen * Department of Geological Sciences, Southern 2000; accepted 14 January 2000 Abstract Geological analysis of planets typically begins with the construction of a geologic map of the planets' surfaces using remote data sets. Geologic maps provide the basis

  9. Soil maps of Wisconsin Alfred E. Hartemink a,

    E-Print Network [OSTI]

    Meyers, Stephen R.

    Soil maps of Wisconsin Alfred E. Hartemink a, , Birl Lowery a , Carl Wacker b a University of Wisconsin-Madison, Department of Soil Science, FD Hole Soils Lab, 1525 Observatory Drive, Madison, WI 53706 May 2012 Accepted 15 May 2012 Available online xxxx Keywords: Soil maps Historical maps Digital soil

  10. Brain Mapping Using Topology Graphs Obtained by Surface Segmentation

    E-Print Network [OSTI]

    Linsen, Lars

    Brain Mapping Using Topology Graphs Obtained by Surface Segmentation Fabien Vivodtzev1 , Lars@ucdavis.edu Summary. Brain mapping is a technique used to alleviate the tedious and time- consuming process of annotating brains by mapping existing annotations from brain atlases to individual brains. We introduce

  11. Blending world map projections with Flex Projector Bernhard Jennya

    E-Print Network [OSTI]

    Jenny, Bernhard

    Blending world map projections with Flex Projector Bernhard Jennya * and Tom Pattersonb a College projections is well established. Some of the most popular world map projections in use today were devised method calculates the arithmetic means of two projections. These two methods for creating new world map

  12. Algorithmic Aspects of Proportional Symbol Maps Sergio Cabello1,

    E-Print Network [OSTI]

    Cabello, Sergio

    Algorithmic Aspects of Proportional Symbol Maps Sergio Cabello1, Herman Haverkort2 Marc van and Computing Sciences, Utrecht University, The Netherlands. marc@cs.uu.nl Abstract Proportional symbol maps disk or square--at the corresponding point on a map. The area of each symbol is proportional

  13. A duality map for quantum cluster varieties from surfaces

    E-Print Network [OSTI]

    Allegretti, Dylan G L

    2015-01-01

    We define a canonical map from a certain space of laminations on a punctured surface into the quantized algebra of functions on a cluster variety. We show that this map satisfies a number of special properties conjectured by Fock and Goncharov. Our construction is based on the "quantum trace" map introduced by Bonahon and Wong.

  14. Wind resource mapping of the state of Vermont

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; Nierenberg, R.

    2000-12-13

    This paper summarizes the results of a wind mapping project and a validation study for the state of Vermont. The computerized wind resource mapping technique used for this project was developed at the National Renewable Energy Laboratory (NREL). The technique uses Geographic Information System (GIS) software and produces high resolution (1km{sup 2}) wind resource maps.

  15. Phoenix++: Modular MapReduce for Shared-Memory Systems

    E-Print Network [OSTI]

    Kozyrakis, Christos

    Phoenix++: Modular MapReduce for Shared-Memory Systems Justin Talbot, Richard M. Yoo, and Christos This paper describes our rewrite of Phoenix, a MapReduce framework for shared-memory CMPs and SMPs. Despite successfully demonstrating the applicability of a MapReduce- style pipeline to shared-memory machines, Phoenix

  16. Technical Section Feature-aligned harmonic volumetric mapping using MFS

    E-Print Network [OSTI]

    Li, Xin "Shane"

    Technical Section Feature-aligned harmonic volumetric mapping using MFS Xin Li a,b,, Huanhuan Xu a Correspondence and registration Harmonic volumetric mapping a b s t r a c t We present an efficient adaptive method to compute the harmonic volumetric mapping, which establishes a smooth correspondence between two

  17. Harmonic Volumetric Mapping for Solid Modeling Applications Xiaohu Guo

    E-Print Network [OSTI]

    Li, Xin "Shane"

    Harmonic Volumetric Mapping for Solid Modeling Applications Xin Li SBU Xiaohu Guo UT Dallas Hongyu volumetric mapping from a solid polycube model(a) to the solid Buddha model(b). (c) is the color with corresponding cross-sections in (f) and (h), respectively. Abstract Harmonic volumetric mapping for two solid

  18. Linear Map of $D$-Algebra

    E-Print Network [OSTI]

    Aleks Kleyn

    2015-05-08

    Module is effective representation of ring in Abelian group. Linear map of module over commutative ring is morphism of corresponding representation. This definition is the main subject of the book. To consider this definition from more general point of view I started the book from consideration of Cartesian product of representations. Polymorphism of representations is a map of Cartesian product of representations which is a morphism of representations with respect to each separate independent variable. Reduced morphism of representations allows us to simplify the study of morphisms of representations. However a representation has to satisfy specific requirements for existence of reduced polymomorphism of representations. It is possible that Abelian group is only $\\Omega$-algebra, such that representation in this algebra admits polymorphism of representations. However, today, this statement has not been proved. Multiplicative $\\Omega$-group is $\\Omega$-algebra in which product is defined. The definition of tensor product of representations of Abelian multiplicative $\\Omega$-group is based on properties of reduced polymorphism of representations of Abelian multiplicative $\\Omega$-group. Since an algebra is a module in which the product is defined, then we can use this theory to study linear map of algebra. For instance, we can study the set of linear transformations of $D$-algebra $A$ as representation of algebra $A\\otimes A$ in algebra $A$.

  19. Persistent Cultures: Miskitu Kinship Terminological Fluidity

    E-Print Network [OSTI]

    Lyon, Dr. Stephen M.; Jamieson, Mark A.; Fischer, Michael D.

    2015-01-01

    and Stephen M Lyon. Introduction to Special 36 (8): 903-?17. Lyon, Stephen M. Culture Idea Systems Stephen Lyon, Mark A. Jamieson and

  20. Energy Intensity Indicators: Terminology and Definitions

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Energy Intensity Indicators website uses the following terms with their associated definitions. The terms related to various definitions of energy are discussed first.

  1. Mass-Spring System Terminology and Details

    E-Print Network [OSTI]

    2015-07-24

    ... of the system. An example of resonance can be seen in the video of the Tacoma Narrows Bridge collapse, where the bridge became resonant with the wind. 6.

  2. Project Development and Finance Course Curriculum Terminology...

    Office of Environmental Management (EM)

    Publications Financing and Investing in Tribal Renewable Energy Projects Tribal Renewable Energy Advanced Course: Commercial Scale Project Development SunShot Vision Study:...

  3. NEPA Terminology | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal of Honor recipients honored atIAEA Reporting, General

  4. Glossary of water terminology | Open Energy Information

    Open Energy Info (EERE)

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

  5. O:\PGH Site Maps for Intranet\Main Files\PGH Site Map Site Map (1)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolarNewsusceptometer under pressureNavyNumericalO K H A V E N L E C T

  6. The B-Exponential Map: A Generalization of the Logistic Map, and Its Applications In Generating Pseudo-random Numbers

    E-Print Network [OSTI]

    Mahesh C Shastry; Nithin Nagaraj; Prabhakar G Vaidya

    2006-07-17

    A 1-dimensional generalization of the well known Logistic Map is proposed. The proposed family of maps is referred to as the B-Exponential Map. The dynamics of this map are analyzed and found to have interesting properties. In particular, the B-Exponential Map exhibits robust chaos for all real values of the parameter B >= e^(-4). We then propose a pseudo-random number generator based on the B-Exponential Map by chaotically hopping between different trajectories for different values of B. We call this BEACH (B-Exponential All-Chaotic Map Hopping) pseudo-random number generator. BEACH successfully passes stringent statistical randomness tests such as ENT, NIST and Diehard. An implementation of BEACH is also outlined.

  7. Performance mapping studies in Redox flow cells

    SciTech Connect (OSTI)

    Hoberecht, M.A.; Thaller, L.H.

    1981-09-01

    Pumping power requirements in any flow battery system constitute a direct parasitic energy loss. It is therefore useful to determine the practical lower limit for reactant flow rates. Through the use of a theoretical framework based on electrochemical first principles, two different experimental flow mapping techniques are developed to evaluate and compare electrodes as a function of flow rate. For the carbon felt electrodes presently used in NASA-Lewis Redox cells, a flow rate 1.5 times greater than the stoichiometric rate seems to be the required minimum.

  8. Completely Positive Maps and Classical Correlations

    E-Print Network [OSTI]

    Csar A. Rodrguez-Rosario; Kavan Modi; Aik-meng Kuah; Anil Shaji; E. C. G. Sudarshan

    2009-10-29

    We expand the set of initial states of a system and its environment that are known to guarantee completely positive reduced dynamics for the system when the combined state evolves unitarily. We characterize the correlations in the initial state in terms of its quantum discord [H. Ollivier and W. H. Zurek, Phys. Rev. Lett. 88, 017901 (2001)]. We prove that initial states that have only classical correlations lead to completely positive reduced dynamics. The induced maps can be not completely positive when quantum correlations including, but not limited to, entanglement are present. We outline the implications of our results to quantum process tomography experiments.

  9. Tensile strain mapping in flat germanium membranes

    SciTech Connect (OSTI)

    Rhead, S. D., E-mail: S.Rhead@warwick.ac.uk; Halpin, J. E.; Myronov, M.; Patchett, D. H.; Allred, P. S.; Wilson, N. R.; Leadley, D. R. [Department of Physics, University of Warwick, Coventry, CV4 7AL (United Kingdom); Shah, V. A. [Department of Physics, University of Warwick, Coventry, CV4 7AL (United Kingdom); Department of Engineering, University of Warwick, Coventry, CV4 7AL (United Kingdom); Kachkanov, V.; Dolbnya, I. P. [Diamond Light Source, Harwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0DE (United Kingdom); Reparaz, J. S. [ICN2 - Institut Catala de Nanociencia i Nanotecnologia, Campus UAB, 08193 Bellaterra (Barcelona) (Spain); Sotomayor Torres, C. M. [ICN2 - Institut Catala de Nanociencia i Nanotecnologia, Campus UAB, 08193 Bellaterra (Barcelona) (Spain)

    2014-04-28

    Scanning X-ray micro-diffraction has been used as a non-destructive probe of the local crystalline quality of a thin suspended germanium (Ge) membrane. A series of reciprocal space maps were obtained with ?4 ?m spatial resolution, from which detailed information on the strain distribution, thickness, and crystalline tilt of the membrane was obtained. We are able to detect a systematic strain variation across the membranes, but show that this is negligible in the context of using the membranes as platforms for further growth. In addition, we show evidence that the interface and surface quality is improved by suspending the Ge.

  10. Template:MapOverlay | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) | Open EnergyDBpediaValueInfoForPlaceMapOverlay Jump to:

  11. Template:MappingHeader | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) | Open EnergyDBpediaValueInfoForPlaceMapOverlay Jump to:source

  12. HabiMap | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynn County,SolarFERCInformation 3.1 - AmendmentsHaakonHabiMap Jump

  13. Form:MapFile | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable Urban Transport JumpFlowood,PevafersaMapFile Jump to: navigation, search

  14. OutageMapURL Phases Energy Services

    Open Energy Info (EERE)

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

  15. NREL National Wind Technology Center Site Map

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on771/6/14 Contact:News Releases | NREL NRELRow 3 Site 3.4 Site

  16. NREL: Wind Research - International Wind Resource Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatialDevelopment of Marine and Hydrokinetic

  17. Solar Career Map | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool FitsProjectDataSecretaryDepartment of EnergyDepartment» SoftwareCareer Map

  18. POST 10/Truck Inspection Station (Map 3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| Department ofStephen P rice Los ANot sure how to9GLENELG IN

  19. Widget:GasMap | Open Energy Information

    Open Energy Info (EERE)

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

  20. Hawaii geologic map data | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energy ResourcesHasselbachLight Company Newsgeologic map

  1. Fermilab | Visit Fermilab | Hours, Maps and Directions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find whatGasEnergyfeature photoTheory Chalkboard /Hours, Maps

  2. Maps and Directions | Savannah River Ecology Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat PumpsTechnologiesTechnologiesScience &Maps and

  3. Map of Wind Farms | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios TowardsInformation Reducing theMassachusetts:PageMap of

  4. Property:CoverageMap | Open Energy Information

    Open Energy Info (EERE)

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

  5. Solar Mapping Resources | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLE DIRECTIVES PursuantEnergySolar Flare ActivitySolarMapping

  6. Infrared Mapping Helps Optimize Catalytic Reactions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLAN FOR THEVorticesInformation| U.S.Infrared Mapping

  7. Infrared Mapping Helps Optimize Catalytic Reactions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy,ImpactScientificInfluence ofMedia onInfrared Mapping Helps

  8. Infrared Mapping Helps Optimize Catalytic Reactions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy,ImpactScientificInfluence ofMedia onInfrared Mapping

  9. Map of Argonne | Argonne National Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget || Department ofDubey selectedMap of

  10. Mapping Particle Charges in Battery Electrodes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget || Department ofDubeyMapping

  11. ULP_MAP | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedof Energy Fish andSmugglingSecond1ULP_MAP

  12. Wind Career Map | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report1538-1950DepartmentWave EnergyElectricityRateWind Career Map

  13. Special Feature: Supercomputers Map Our Changing Climate

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveApril 2, 2014 Smith NamedDiversity andSupercomputers Map

  14. Los Alamos researchers create 'map of science'

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResourcelogo and-EearnstakesLosMap of science Los Alamos

  15. Mapping Particle Charges in Battery Electrodes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5 CondonSpecificMapping

  16. Mapping Particle Charges in Battery Electrodes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5Mapping Particle

  17. Mapping Particle Charges in Battery Electrodes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergy Efficiency »5Mapping

  18. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

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

  19. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageBlenderBusiness Case for E85 Fuel Retailers toE85 CodesMaps

  20. Layer Information for Interactive State Maps

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIARegional energy challenges inValues5Maps