Sample records for year rank mining

  1. Research at Mines Fiscal Year

    E-Print Network [OSTI]

    Matlock, De Moor, Speer #12;New Initiatives · Unconventional Oil & gas, Fracking (Santi) · Mines NREL

  2. Five mining students will each receive a $10K Scholarship this year.

    E-Print Network [OSTI]

    Five mining students will each receive a $10K Scholarship this year. Here's how you could be one The WA Mining Club, in conjunction with industry co-sponsors, now offers five University Scholarships for the benefit of University students intending to work in the mining industry. These are known as the West

  3. B.S. in Mining Engineering Four-Year Plan

    E-Print Network [OSTI]

    Wong, Pak Kin

    courses (See advisor for requirements) 5TH SEMESTER MNE 427 Geomechanics 4 CE 214; CE 215 MNE 412 Mine MNE 427 Geomechanics 4 CE 214; CE 215 MNE 412 Mine Surveying 2 Corequisite MNE 297A CE 218 Mechanics

  4. Mining

    Broader source: Energy.gov [DOE]

    Supply and cost management–including energy costs–pose key challenges for U.S. mining companies. The industry has worked with AMO to develop a range of resources for increasing energy efficiency and reducing costs.

  5. Fiver years of uranium mine and mill decommissioning in Germany: Progress of the Wismut environmental remediation project

    SciTech Connect (OSTI)

    Mager, D. [German Federal Ministry of Economics, Bonn (Germany)

    1996-12-31T23:59:59.000Z

    With the end of the Cold War and the fall of the iron curtain Germany inherited in 1990 by its reunification the legacy of 45 years of unrestricted, intensive uranium mining in the eastern part of Germany. The environmental damages and risks related to widespread soil and groundwater contamination, caused by huge tailings ponds and numerous waste rock piles in one of Germany`s most densely populated areas, made it necessary to implement one of the world`s largest environmental clean-up programs. 13 billion German Marks (8.7 billion US-$) will be spent within approx. 20 years for decommissioning and environmental restoration efforts. Five years after the start-up of the Wismut project considerable results have been achieved. Conceptual work, even regarding technically difficult issues of the program, is far advanced, and about one third of the physical work program has been completed. At the former mining and milling locations significant improvements of the environmental situation have been achieved. The further on-schedule progress of the Wismut program is an important prerequisite for the socio-economical development in the former uranium mining districts.

  6. International Conference on Ground Control in Mining During the last 25 years, technological advancement and

    E-Print Network [OSTI]

    are necessary for effective assessment and control of mining-induced subsidence, using examples and case studies, VA measured and theoretical case studies. This validation is made possible by developing new been tested extensively in numerous case studies (VPI&SU, 1987; Karmis et al., 1989; Newman et al

  7. Coal Mining Tax Credit (Arkansas)

    Broader source: Energy.gov [DOE]

    The Coal Mining Tax Credit provides an income or insurance premium tax credit of $2.00 per ton of coal mined, produced or extracted on each ton of coal mined in Arkansas in a tax year. An...

  8. Data mining, Data mining,

    E-Print Network [OSTI]

    Keinan, Alon

    18 Data mining, today and tomorrow Data mining, today and tomorrow We leave digital puddles useful information be extracted from this ever-growing ocean of data? Data mining is the science," says CS professor Johannes Gehrke, whose group has developed some of the fastest data-mining algo

  9. Hot Dry Rock Heat Mining Geothermal Energy Development Program - Annual Report Fiscal Year 1990

    SciTech Connect (OSTI)

    Duchane, David

    1991-01-01T23:59:59.000Z

    This was a year of significant accomplishment in the Hot Dry Rock (HDR) Program. Most importantly, the design, construction, and installation of the surface plant for the Phase II system neared completion by the end of the year. Basic process design work has been completed, and all major components of the system except the gas/particle separator have been procured. For this component, previous design problems have been resolved, and purchase during the first half of FY91 is anticipated. Installation of the surface plant is well underway. The system will be completed and ready for operation by the end of FY91 under the current funding scenario. The operational schedule to be followed will then depend upon the program funding level. Our goal is to start long-term flow testing as soon as possible. Of equal importance, from the standpoint of the long-term viability of HDR technology, during this year, for the first time, it has been demonstrated in field testing that it should be possible to operate HDR reservoirs with water losses of 1-3%, or even less. Our experience in the deep, hot, Phase II reservoir at Fenton Hill is in sharp contrast to the significant water losses seen by Japanese and British scientists working in shallower, cooler, HDR reservoirs. Calculations and modeling based on field data have shown that water consumption declines with the log of time in a manner related to water storage in the reservoir. This work may be crucial in proving that HDR can be an economically viable means for producing energy, and that it is useful even in areas where water is in short supply. In addition, an engineering model was developed to predict and explain water consumption in HDR reservoirs under pressure, the collection and processing of seismic information was more highly automated, and the detection limits for reactive tracers were lowered to less than 1 part per billion. All of these developments will add greatly to our ability to conduct, analyze, and understand the long-term test (LTFT). Water-rights acquisition activities, site clean-up, and improvements in the 1 million gallon storage pond at Fenton Hill have assured that we will have adequate water to carry out a vigorous testing program in a safe and environmentally-sound manner. The 1 million gallon pond was recontoured, and lined with a sophisticated multi-layer plastic barrier. A large part of the work on the pond was paid for with funds from the Laboratory's Health, Safety and Environment Division. Almost all the expected achievements set forth in the FY90 Annual Operating Plan were substantially accomplished this past year, in spite of a $300,000 shortfall in funding. This funding shortfall did delay some work and result in some projects not being completed, however. They have had to go more slowly than they would like on some aspects of the installation of the surface plant for the LTFT, purchase of non-critical equipment, such as a back-up electric generator for Fenton Hill, has been delayed, and some work has not been brought to an adequate conclusion. The fracture healing work, for example, was completed but not written up. they simply did not have the funds to pay for the effort needed to fully document this work. As the program enters FY91, the completion of the surface plant at Fenton Hill is within sight. The long-awaited LTFT can then begin, and the large investment in science and technology represents by the HDR Program will begin to bear still greater dividends.

  10. Mines and Mining (Maryland)

    Broader source: Energy.gov [DOE]

    It is the policy of the state to encourage the development of mined resources in Maryland while protecting the environment and public health and safety. This legislation establishes the Bureau of...

  11. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 27 Females 11 YEAR 2013 SES 1 EN 05 1 EN 04 11 NN (Engineering) 8 NQ (ProfTechAdmin) 15 NU (TechAdmin Support) 2 YEAR 2013 American Indian Alaska Native Male...

  12. YEAR

    National Nuclear Security Administration (NNSA)

    96 YEAR 2013 Males 69 Females 27 YEAR 2013 SES 1 EJEK 9 EN 04 27 NN (Engineering) 26 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska Native Male...

  13. YEAR

    National Nuclear Security Administration (NNSA)

    1 YEAR 2014 Males 48 Females 33 PAY PLAN YEAR 2014 SES 1 EJEK 8 EN 04 10 EN 03 1 NN (Engineering) 27 NQ (ProfTechAdmin) 29 NU (TechAdmin Support) 5 YEAR 2014 American Indian...

  14. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 10 PAY PLAN YEAR 2014 SES 1 EN 05 1 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 9 NU (TechAdmin Support) 1 YEAR 2014 American Indian Alaska...

  15. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 61 Females 24 PAY PLAN YEAR 2014 SES 1 EJEK 8 EN 04 22 NN (Engineering) 23 NQ (ProfTechAdmin) 28 NU (TechAdmin Support) 3 YEAR 2014 American Indian Alaska...

  16. YEAR

    National Nuclear Security Administration (NNSA)

    0 YEAR 2013 Males 48 Females 32 YEAR 2013 SES 2 EJEK 7 EN 04 11 EN 03 1 NN (Engineering) 23 NQ (ProfTechAdmin) 33 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska...

  17. YEAR

    National Nuclear Security Administration (NNSA)

    31 YEAR 2013 Males 20 Females 11 YEAR 2013 SES 2 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 12 NU (TechAdmin Support) 1 YEAR 2013 American Indian Alaska Native Male (AIAN,...

  18. Longwall mining

    SciTech Connect (OSTI)

    NONE

    1995-03-14T23:59:59.000Z

    As part of EIA`s program to provide information on coal, this report, Longwall-Mining, describes longwall mining and compares it with other underground mining methods. Using data from EIA and private sector surveys, the report describes major changes in the geologic, technological, and operating characteristics of longwall mining over the past decade. Most important, the report shows how these changes led to dramatic improvements in longwall mining productivity. For readers interested in the history of longwall mining and greater detail on recent developments affecting longwall mining, the report includes a bibliography.

  19. YEAR

    National Nuclear Security Administration (NNSA)

    2014 Males 81 Females 45 PAY PLAN YEAR 2014 SES 1 SL 1 EJEK 25 EN 04 26 EN 03 2 NN (Engineering) 23 NQ (ProfTechAdmin) 44 NU (TechAdmin Support) 4 YEAR 2014 American Indian...

  20. YEAR

    National Nuclear Security Administration (NNSA)

    25 Females 10 YEAR 2014 SES 1 EN 04 11 NN (Engineering) 8 NQ (ProfTechAdmin) 13 NU (TechAdmin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian...

  1. PRB mines mature

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2007-08-15T23:59:59.000Z

    Already seeing the results of reclamation efforts, America's largest surface mines advance as engineers prepare for the future. 30 years after the signing of the Surface Mining Control and Reclamation Act by Jimmy Carter, western strip mines in the USA, especially in the Powder River Basin, are producing more coal than ever. The article describes the construction and installation of a $38.5 million near-pit crusher and overland belt conveyor system at Foundation Coal West's (FCW) Belle Ayr surface mine in Wyoming, one of the earliest PRB mines. It goes on to describe the development by Rio Tinto of an elk conservatory, the Rochelle Hill Conservation Easement, on reclaimed land at Jacobs Ranch, adjacent to the Rochelle Hills. 4 photos.

  2. YEAR

    National Nuclear Security Administration (NNSA)

    3 YEAR 2014 Males 59 Females 24 PAY PLAN YEAR 2014 SES 1 EJEK 4 EN 05 3 EN 04 22 EN 03 8 NN (Engineering) 15 NQ (ProfTechAdmin) 27 NU (TechAdmin Support) 3 YEAR 2014 American...

  3. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 62 Females 26 YEAR 2013 SES 1 EJEK 3 EN 05 1 EN 04 28 EN 03 1 NN (Engineering) 25 NQ (ProfTechAdmin) 27 NU (TechAdmin Support) 2 YEAR 2013 American Indian...

  4. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2013 Males 58 Females 27 YEAR 2013 SES 1 EJEK 4 EN 05 3 EN 04 21 EN 03 8 NN (Engineering) 16 NQ (ProfTechAdmin) 28 NU (TechAdmin Support) 4 YEAR 2013 American Indian...

  5. YEAR

    National Nuclear Security Administration (NNSA)

    8 Females 25 PAY PLAN YEAR 2014 SES 1 EJEK 3 EN 05 1 EN 04 25 EN 03 1 NN (Engineering) 25 NQ (ProfTechAdmin) 25 NU (TechAdmin Support) 2 YEAR 2014 American Indian Alaska Native...

  6. Mining (Montana)

    Broader source: Energy.gov [DOE]

    This section provides general rules and regulations pertaining to mining practices in the state of Montana. It addresses mining locations and claims, procedures for rights-of-way and eminent domain...

  7. Department of MINING ENGINEERING

    E-Print Network [OSTI]

    Simons, Jack

    AS A MINING ENGINEER IMAGINE IMAGINE Department of MINING ENGINEERING THE UNIVERSITY OF UTAH www.mining

  8. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    ,370.00 0.32 72 ft3 solid rad waste; 35 gal of mixed waste; 108 gal of haz waste; 324 ft3 of rad DIS waste 6Rank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1 waste 2 Replacement of Mercury Thermometers Basic Energy Sciences, Condensed Matter Physics & Material

  9. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    waste 2 Motion Lights Energy Sciences & Technology, EENS (Dave Elling) $3,200 $7,000.00 0.46 Energy Light Source, NSLS (John Aloi) $1,500 $5,200.00 0.29 200 gallons corrosive waste 6 Electronic RecyclingRank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1

  10. Guide to journal rankings 1. What are journal rankings?

    E-Print Network [OSTI]

    McCusker, Guy

    Opus Guide to journal rankings 1. What are journal rankings? Journal rankings are metrics that provide information on how a journal performs in comparison with other journals in the same discipline. Articles in high impact journals are more likely to be cited. Good citation counts are often considered

  11. Data Mining 4.6. " "

    E-Print Network [OSTI]

    Mustakerov, Ivan

    1 . . Data Mining "" 4.6. " " ( 01.01.12. "") . . .. 2012. .- - - , , .". . ", .2. : : Data Mining #12;3 (Data Mining) - 20-25 . , , , , , . , (Data Mining) , , , , . Data Mining . Data Mining

  12. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01T23:59:59.000Z

    Data Mining . . . . . . . . . . . . . . . . . . . . . . .Mining . . . . . . . . . . . . . . . . . . . . . . . . .Sequence Mining 6.1 Introduction . . . . . . . . .

  13. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4 YEAR

  14. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4 YEAR7

  15. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43 YEAR

  16. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144 YEAR

  17. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 2013

  18. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 20138

  19. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 201387

  20. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR

  1. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR558

  2. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR558563

  3. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR85573380 YEAR

  4. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2012 2013 SES 2 1 -50.00% EN 05 0 1 100.00% EN 04 4 4 0.00% NN (Engineering) 13 12 -7.69% NQ (ProfTechAdmin) 13 9 -30.77% NU (TechAdmin Support) 1 1...

  5. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 2008 A794826 YEAR

  6. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR 2014

  7. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR 201434

  8. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR

  9. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4

  10. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43

  11. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR434

  12. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43417

  13. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR434170

  14. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR 2012

  15. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR

  16. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR42

  17. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR424

  18. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR4247

  19. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR42478

  20. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR

  1. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR40

  2. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR4096

  3. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486111 YEAR

  4. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486111 YEAR17

  5. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 2008748611196 YEAR

  6. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014 Males

  7. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014 Males16

  8. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014

  9. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144

  10. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144707

  11. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 201447072540

  12. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR

  13. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8

  14. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 563

  15. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 56378

  16. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 5637831

  17. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 56378318

  18. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557

  19. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 28

  20. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 280

  1. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 2801

  2. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 280192

  3. YEAR

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733

  4. Year

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and.

  5. Mining for Helium Jurriaan Hage

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Mining for Helium Jurriaan Hage Peter van Keeken Department of Information and Computing Sciences-year functional programming course using the Helium compiler. The mining of such a collection is not trivial a type error. 1 #12;1 Introduction and motivation When the Helium compiler for learning Haskell

  6. Error Mining on Dependency Trees Claire Gardent

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Error Mining on Dependency Trees Claire Gardent CNRS, LORIA, UMR 7503 Vandoeuvre-l`es-Nancy, F-l`es-Nancy, F-54600, France shashi.narayan@loria.fr Abstract In recent years, error mining approaches were propose an algorithm for mining trees and ap- ply it to detect the most likely sources of gen- eration

  7. The Department of Industrial and Systems Engineering is accepting applications for open rank non-tenure track faculty positions for academic year 2014-2015. All positions require teaching undergraduate and/or

    E-Print Network [OSTI]

    The Department of Industrial and Systems Engineering is accepting applications for open rank non/or graduate courses related to Industrial and Systems Engineering, and service to the department. A successful of Industrial and Systems Engineering provides competitive compensation packages and benefits. To apply, please

  8. Low-rank coal research

    SciTech Connect (OSTI)

    Weber, G. F.; Laudal, D. L.

    1989-01-01T23:59:59.000Z

    This work is a compilation of reports on ongoing research at the University of North Dakota. Topics include: Control Technology and Coal Preparation Research (SO{sub x}/NO{sub x} control, waste management), Advanced Research and Technology Development (turbine combustion phenomena, combustion inorganic transformation, coal/char reactivity, liquefaction reactivity of low-rank coals, gasification ash and slag characterization, fine particulate emissions), Combustion Research (fluidized bed combustion, beneficiation of low-rank coals, combustion characterization of low-rank coal fuels, diesel utilization of low-rank coals), Liquefaction Research (low-rank coal direct liquefaction), and Gasification Research (hydrogen production from low-rank coals, advanced wastewater treatment, mild gasification, color and residual COD removal from Synfuel wastewaters, Great Plains Gasification Plant, gasifier optimization).

  9. Integer optimization in data mining

    E-Print Network [OSTI]

    Shioda, Romy, 1977-

    2003-01-01T23:59:59.000Z

    While continuous optimization methods have been widely used in statistics and data mining over the last thirty years, integer optimization has had very limited impact in statistical computation. Thus, our objective is to ...

  10. Astronomy Ranking Task: Stellar Evolution

    E-Print Network [OSTI]

    Farritor, Shane

    Cloud of Gas and Dust C Neutron Star I White Dwarf D Supernova Type II J Black Hole E Nothing K Supernova Type I F Giant L Nova M Gravity Collapse of Gas/Dust Cloud A) Ranking Instructions: Rank, from

  11. Quarrying and Mining (Stone)

    E-Print Network [OSTI]

    Bloxam, Elizabeth

    2010-01-01T23:59:59.000Z

    the author.   Quarrying and Mining (Stone), Bloxam, UEE 2010archaeology and anthropology of mining. In Social approachesand anthropology of mining, ed. Bernard Knapp, Vincent

  12. Mining engineering College of Engineering and Mines

    E-Print Network [OSTI]

    Hartman, Chris

    Mining engineering College of Engineering and Mines Department of Mining and Geological Engineering As the nation's northernmost accredited mining engineering program, our mission is to advance and disseminate. The mining engineering program emphasizes engineering as it ap- plies to the exploration and development

  13. Long term contracts, expansion, innovation and stability: North Dakota's lignite mines thrive

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2009-08-15T23:59:59.000Z

    North Dakota's lignite coal industry is mainly located in three countries in the central part of the state. Its large surface lignite mines are tied through long-term (20-40 years) contracts to power plants. The article talks about operations at three of the most productive mines - the Freedom mine, Falkirk mine and Center Mine. 4 figs.

  14. Upgrading low rank coal using the Koppelman Series C process

    SciTech Connect (OSTI)

    Merriam, N.W., Western Research Institute

    1998-01-01T23:59:59.000Z

    Development of the K-Fuel technology began after the energy shortage of the early 1970s in the United States led energy producers to develop the huge deposits of low-sulfur coal in the Powder River Basin (PRB) of Wyoming. PRB coal is a subbituminous C coal containing about 30 wt % moisture and having heating values of about 18.6 megajoules/kg (8150 Btu/lb). PRB coal contains from 0.3 to 0.5 wt % sulfur, which is nearly all combined with the organic matrix in the coal. It is in much demand for boiler fuel because of the low-sulfur content and the low price. However, the low-heating value limits the markets for PRB coal to boilers specially designed for the high- moisture coal. Thus, the advantages of the low-sulfur content are not available to many potential customers having boilers that were designed for bituminous coal. This year about 250 million tons of coal is shipped from the Powder River Basin of Wyoming. The high- moisture content and, consequently, the low-heating value of this coal causes the transportation and combustion of the coal to be inefficient. When the moisture is removed and the heating value increased the same bundle of energy can be shipped using one- third less train loads. Also, the dried product can be burned much more efficiently in boiler systems. This increase in efficiency reduces the carbon dioxide emissions caused by use of the low-heating value coal. Also, the processing used to remove water and restructure the coal removes sulfur, nitrogen, mercury, and chlorides from the coal. This precombustion cleaning is much less costly than stack scrubbing. PRB coal, and other low-rank coals, tend to be highly reactive when freshly mined. These reactive coals must be mixed regularly (every week or two) when fresh, but become somewhat more stable after they have aged for several weeks. PRB coal is relatively dusty and subject to self-ignition compared to bituminous coals. When dried using conventional technology, PRB coal is even more dusty and more susceptible to spontaneous combustion than the raw coal. Also, PRB coal, if dried at low temperature, typically readsorbs about two- thirds of the moisture removed by drying. This readsorption of moisture releases the heat of adsorption of the water which is a major cause of self- heating of low-rank coals at low temperature.

  15. Paramont's Black Bear No. 4 mine does it right, again

    SciTech Connect (OSTI)

    Sanda, A.

    2007-07-15T23:59:59.000Z

    The Paramont Coal Company Virginia, LLC, a subsidiary of Alpha Natural Resources, recently won the '2007 overall award for excellence in mining and reclamation from the Virginia Division of Mined Land Reclamation and the Virginia Mining Association. Coal People Magazine recently visited Black Bear No. 4 mine where a settling pond was being removed and stream bed placed to drain the area, part of the 451-acre award winning reclamation project. The article recounts discussions with mining engineers about the company's operations with emphasis on the Black Bear No. 4 mine. Black Bear No. 1 mine won five state and national awards last year for conservation and land management practices. 8 photos.

  16. PageRank of integers

    E-Print Network [OSTI]

    K. M. Frahm; A. D. Chepelianskii; D. L. Shepelyansky

    2012-05-29T23:59:59.000Z

    We build up a directed network tracing links from a given integer to its divisors and analyze the properties of the Google matrix of this network. The PageRank vector of this matrix is computed numerically and it is shown that its probability is inversely proportional to the PageRank index thus being similar to the Zipf law and the dependence established for the World Wide Web. The spectrum of the Google matrix of integers is characterized by a large gap and a relatively small number of nonzero eigenvalues. A simple semi-analytical expression for the PageRank of integers is derived that allows to find this vector for matrices of billion size. This network provides a new PageRank order of integers.

  17. Ranking species in mutualistic networks

    E-Print Network [OSTI]

    Domínguez-García, Virginia

    2015-01-01T23:59:59.000Z

    Understanding the architectural subtleties of ecological networks, believed to confer them enhanced stability and robustness, is a subject of outmost relevance. Mutualistic interactions have been profusely studied and their corresponding bipartite networks, such as plant-pollinator networks, have been reported to exhibit a characteristic "nested" structure. Assessing the importance of any given species in mutualistic networks is a key task when evaluating extinction risks and possible cascade effects. Inspired in a recently introduced algorithm --similar in spirit to Google's PageRank but with a built-in non-linearity-- here we propose a method which --by exploiting their nested architecture-- allows us to derive a sound ranking of species importance in mutualistic networks. This method clearly outperforms other existing ranking schemes and can become very useful for ecosystem management and biodiversity preservation, where decisions on what aspects of ecosystems to explicitly protect need to be made.

  18. Data Mining Ryan Benton

    E-Print Network [OSTI]

    Raghavan, Vijay

    Data Mining Ryan Benton Center for Advanced Computer Studies University of Louisiana at Lafayette in Databases (KDD) ! Data Mining Related Fields Research Issues Tasks ! Association Mining Problem;9 KDD vs. DATA MINING ! Synonyms (?) ! KDD More than just finding pattern Mining, dredging

  19. Precision Mining

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah ProjectPRE-AWARD ACCOUNTING SYSTEM SURVEYPrecision Mining Double

  20. Mining Helium programs with Neon Jurriaan Hage

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Mining Helium programs with Neon Jurriaan Hage Peter van Keeken Department of Information in a first-year functional programming course using the Helium compiler. The mining of such a collection to resolve a type error. 1 #12;1 Introduction and motivation When the Helium compiler for learning Haskell

  1. ANU MLSS 2010: Data Mining

    E-Print Network [OSTI]

    Christen, Peter

    ANU MLSS 2010: Data Mining Part 1: Introduction, data mining challenges, and data issues for data mining Data Mining module outline Part 1: Very short introduction to data mining Data mining process Challenges in data mining Data cleaning, integration and pre-processing Part 2: Association rule mining Part

  2. Transportation costs for new fuel forms produced from low rank US coals

    SciTech Connect (OSTI)

    Newcombe, R.J.; McKelvey, D.G. (TMS, Inc., Germantown, MD (USA)); Ruether, J.A. (USDOE Pittsburgh Energy Technology Center, PA (USA))

    1990-09-01T23:59:59.000Z

    Transportation costs are examined for four types of new fuel forms (solid, syncrude, methanol, and slurry) produced from low rank coals found in the lower 48 states of the USA. Nine low rank coal deposits are considered as possible feedstocks for mine mouth processing plants. Transportation modes analyzed include ship/barge, pipelines, rail, and truck. The largest potential market for the new fuel forms is coal-fired utility boilers without emission controls. Lowest cost routes from each of the nine source regions to supply this market are determined. 12 figs.

  3. Parallel Formulations of Tree-Projection-Based Sequence Mining Algorithm

    E-Print Network [OSTI]

    Karypis, George

    , database projection algorithms, data mining, parallel processing This work was supported by NSF CCR-9972519 Institute. 1 #12;1 Introduction In recent years there has been an increased interest in using data miningParallel Formulations of Tree-Projection-Based Sequence Mining Algorithm Valerie Guralnik

  4. Robust Rankings for College Football

    E-Print Network [OSTI]

    2012-01-06T23:59:59.000Z

    Oct 11, 2011 ... tournament at the end of a season to determine the best team (or national champion). ?Department of Management Sciences, University of Iowa, Iowa City, IA, ... practice. One such method, which is one of six computer rankings used ...... inconsequential set I. One could also manually choose a completely ...

  5. POLYTOPES OF MINIMUM POSITIVE SEMIDEFINITE RANK 1 ...

    E-Print Network [OSTI]

    2012-05-23T23:59:59.000Z

    M ? rank M. In Exam- ple 2.3 we saw that the first inequality may be strict. We now ..... Let Si denote the ith row of SP . Since rank SP = n+ 1, we have ? n+2.

  6. Thirteenth biennial lignite symposium: technology and utilization of low-rank coals proceedings. Volume 2

    SciTech Connect (OSTI)

    Jones, M.L. (ed.)

    1986-02-01T23:59:59.000Z

    These proceedings are the collected manuscripts from the 1985 Lignite Symposium held at Bismarck, North Dakota on May 21-23, 1985. Sponsorship of the thirteenth biennial meeting was by the United States Department of Energy, the University of North Dakota Energy Research Center, and the Texas University Coal Research Consortium. Seven technical sessions plus two luncheons and a banquet were held during the two and a half day meeting. The final half day included tours of the Great Plains Gasification Plant; Basin Electric's Antelope Valley Power Station; and the Freedom Mine. Sessions covered diverse topics related to the technology and use of low-rank coals including coal development and public policy, combustion, gasification, environmental systems for low-rank coal utilization, liquefaction, beneficiation and coal mining and coal inorganics. All the papers have been entered individually into EDB and ERA.

  7. Thirteenth biennial lignite symposium: technology and utilization of low-rank coals proceedings. Volume 1

    SciTech Connect (OSTI)

    Jones, M.L. (ed.)

    1986-02-01T23:59:59.000Z

    These proceedings are the collected manuscripts from the 1985 Lignite Symposium held at Bismarck, North Dakota on May 21-23. Sponsorship of the thirteenth biennial meeting was by the United States Department of Energy, the University of North Dakota Energy Research Center, and the Texas University Coal Research Consortium. Seven technical sessions were held during the two and a half day meeting. The final half day included tours of the Great Plains Gasification Plant; Basin Electric's Antelope Valley Power Station; and the Freedom Mine. Sessions covered diverse topics related to the technology and use of low-rank coals including coal development and public policy, combustion, gasification, environmental systems for low-rank coal utilization, liquefaction, beneficiation and coal mining and coal inorganics. Twenty-four papers have been entered individually into EDB and ERA.

  8. Mining into the new millennium

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2009-06-15T23:59:59.000Z

    After more than 3 years of production and a billion tons of coal shipped, Foundation Coal West, a subsidiary of Foundation Coal Holding Inc., continues to operate two of the original surface mines in Wyoming's Powder River Basin. The article describes equipment (conveyors, trucks, surface miners etc.) deployed at Belle Ayr and Eagle Butte PRB operations. 3 photos.

  9. of Mining & Engineering

    E-Print Network [OSTI]

    Wong, Pak Kin

    & Illness in Mining (3 units) MNE 527 Geomechanics (4 units) MNE 547 Underground Construction Geomechanics

  10. anthracite mines mines: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  11. Rights and Duties of Mines and Mine Owners, General (Missouri)

    Broader source: Energy.gov [DOE]

    This legislation addresses general operational guidelines for mine owners regarding public notices, fees, land and mineral ownership, requirements for mining in certain municipalities, and mining...

  12. Mine roof geology information system

    SciTech Connect (OSTI)

    Peng, S.S.; Sasaoka, T.; Tang, D.X.; Wilson, Y.; Wilson, G.

    2005-05-01T23:59:59.000Z

    A project sponsored by the US Department of Energy under the Industry of Future (Mining) program was initiated five years ago. In this project a patented drill control unit (DCU) installed DIN. the J.H. Flecher & Co.'s roof bolter was used to record the drilling parameter for experiments conducted in the mines and laboratory. Today, the drilling parameters have been recorded for more than 1,000 roof bolt holes. This article summarizes the results to date including the methods for determining quantitatively the location of voids/fractures and estimation of roof rock strength from the recorded roof bolter drilling parameters. 8 figs., 2 tabs.

  13. LEARNING OUTCOMES EVALUATION Mining Engineering

    E-Print Network [OSTI]

    Missouri-Rolla, University of

    and mineral processing for comprehensive mine design, extraction and mineral beneficiation. Understand geomechanics, geometrics and computer-aided mine design, and optimization of flow processes for designing mine

  14. Coal rank trends in eastern Kentucky

    SciTech Connect (OSTI)

    Hower, J.C.; Trinkle, E.J.

    1984-12-01T23:59:59.000Z

    Examination of coal rank (by vitrinite maximum reflectance) for eastern Kentucky coals has revealed several regional trends. Coal rank varies from high volatile C (0.5% R/sub max/) to medium volatile bituminous (1.1% R/sub max/), and generally increases to the southeast. One east-west-trending rank high and at least four north-south-trending rank highs interrupt the regional increase. The east-west-trending rank high is associated with the Kentucky River faults in northeastern Kentucky. It is the only rank high clearly associated with a fault zone. The four north-south-trending rank highs are parallel with portions of major tectonic features such as the Eastern Kentucky syncline. Overall, though, the association of north-south-trending rank highs with tectonic expression is not as marked as that with the anomaly associated with the Kentucky River faults. It is possible that the rank trends are related to basement features with subdued surface expression. Rank generally increases with depth, and regional trends observed in one coal are also seen in overlying and underlying coals. The cause of the regional southeastward increase in rank is likely to be the combined influence of greater depth of burial and proximity to late Paleozoic orogenic activity. The anomalous trends could be due to increased depth of burial, but are more likely to have resulted from tectonic activity along faults and basement discontinuities. The thermal disturbances necessary to increase the coal rank need not have been great, perhaps on the order of 10-20/sup 0/C (18-36/sup 0/F) above the metamorphic temperatures of the lower rank coals.

  15. ITP Mining: Exploration and Mining Technology Roadmap

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

    David Bartley Connie Holmes BCS, Incorporated National Mining Association Kenneth G. Bennett David Hyman Caterpillar Inc. National Energy Technology Laboratory Jeanette Berry...

  16. RANK-SPARSITY INCOHERENCE FOR MATRIX DECOMPOSITION ...

    E-Print Network [OSTI]

    2009-06-11T23:59:59.000Z

    Jun 11, 2009 ... nuclear norm of the components. We develop a notion of rank-sparsity incoherence, expressed as an uncertainty principle between the sparsity ...

  17. Data Mining: Opportunities and Challenges

    E-Print Network [OSTI]

    Wu, Xindong

    1 Data Mining: Opportunities and Challenges Xindong Wu University of Vermont, USA; Hefei University Systems 2004 ...... #12;3 Outline 1.1. Data Mining OpportunitiesData Mining Opportunities Major Conferences and Journals in Data Mining Main Topics in Data Mining Some Research Directions in Data Mining 2

  18. STPMiner: A Highperformance Spatiotemporal Pattern Mining Toolbox

    SciTech Connect (OSTI)

    Vatsavai, Raju [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    The volume of spatiotemporal data being generated from scientific simulations and observations from sensors is growing at an astronomical rate. This data explosion is going to pose three challenges to the existing data mining infrastructure: algorithmic, computational, and I/O. Over the years we have implemented several spatiotemporal data mining algorithms including: outliers/anomalies, colocation patterns, change patterns, clustering, classification, and prediction algorithms. In this paper we briefly discuss the core spatiotemporal pattern mining algorithms along with some of the computational and I/O challenges associated with the big data.

  19. Mining Regulations (Missouri)

    Broader source: Energy.gov [DOE]

    This legislation applies to all mines in this state engaged in the mining or extraction of minerals for commercial purposes, except barite, marble, limestone, and sand and gravel, or the...

  20. Low-rank coal study : national needs for resource development. Volume 2. Resource characterization

    SciTech Connect (OSTI)

    Not Available

    1980-11-01T23:59:59.000Z

    Comprehensive data are presented on the quantity, quality, and distribution of low-rank coal (subbituminous and lignite) deposits in the United States. The major lignite-bearing areas are the Fort Union Region and the Gulf Lignite Region, with the predominant strippable reserves being in the states of North Dakota, Montana, and Texas. The largest subbituminous coal deposits are in the Powder River Region of Montana and Wyoming, The San Juan Basin of New Mexico, and in Northern Alaska. For each of the low-rank coal-bearing regions, descriptions are provided of the geology; strippable reserves; active and planned mines; classification of identified resources by depth, seam thickness, sulfur content, and ash content; overburden characteristics; aquifers; and coal properties and characteristics. Low-rank coals are distinguished from bituminous coals by unique chemical and physical properties that affect their behavior in extraction, utilization, or conversion processes. The most characteristic properties of the organic fraction of low-rank coals are the high inherent moisture and oxygen contents, and the correspondingly low heating value. Mineral matter (ash) contents and compositions of all coals are highly variable; however, low-rank coals tend to have a higher proportion of the alkali components CaO, MgO, and Na/sub 2/O. About 90% of the reserve base of US low-rank coal has less than one percent sulfur. Water resources in the major low-rank coal-bearing regions tend to have highly seasonal availabilities. Some areas appear to have ample water resources to support major new coal projects; in other areas such as Texas, water supplies may be constraining factor on development.

  1. Data Warehousing and Data Mining Conference, January 25, 1999, Singapore Data Mining:Data Mining

    E-Print Network [OSTI]

    Wu, Xindong

    Data Warehousing and Data Mining Conference, January 25, 1999, Singapore 1 Welcome Data Mining:Data Mining: Updates in TechnologiesUpdates in Technologies Xindong Wu Dept of Math and Computer Science Colorado School of Mines Golden, Colorado 80401, USA Email: xwu@ mines.edu Home Page: http://kais.mines

  2. of Mining & Engineering

    E-Print Network [OSTI]

    Wong, Pak Kin

    .621.8330 Engr-mining@email.arizona.edu ONLINE GRADUATE CERTIFICATE PROGRAM 15 UNITS YOUR CAREER GEOMECHANICS #12;GEOMECHANICS Department of Mining & Geological Engineering www.mge.arizona.edu Contact the MGE Department for more information: ENGR-mining@email.arizona.edu REQUIRED COURSES (12 units) MNE 527 Geomechanics (3

  3. Functional and taxonomic diversity of microbial communities in reclaimed East Texas lignite mine soils

    E-Print Network [OSTI]

    Peach, Allen Edward

    2001-01-01T23:59:59.000Z

    A two-year study was conducted at Big Brown lignite mine in Freestone County, Texas, to determine the influence of surface mining and reclamation on the functional and taxonomic diversity in soil microbial communities. Quarterly soil samples were...

  4. Top for economics Rank Business School

    E-Print Network [OSTI]

    Lin, Xiaodong

    Top for economics Rank Business School 1 University of Chicago: Booth Rutgers Business School University of Toronto: Rotman Cranfield School of Management University of California at Irvine: Merage University of Rochester: Simon Columbia/London Business School 2 3 4 5 6 7 8 9 10 Rank Business School 1

  5. (psd) rank of a nonnegative matrix w

    E-Print Network [OSTI]

    2013-05-20T23:59:59.000Z

    at least k and we pose the problem of deciding whether the psd rank is exactly k. Using geometry ... referred to as the psd rank of P) is exactly the smallest k such that P is the linear image of an ..... References. [1] J. Bochnak, M. Coste, M. Roy.

  6. Universal Emergence of PageRank

    E-Print Network [OSTI]

    K. M. Frahm; B. Georgeot; D. L. Shepelyansky

    2011-10-19T23:59:59.000Z

    The PageRank algorithm enables to rank the nodes of a network through a specific eigenvector of the Google matrix, using a damping parameter $\\alpha \\in ]0,1[$. Using extensive numerical simulations of large web networks, with a special accent on British University networks, we determine numerically and analytically the universal features of PageRank vector at its emergence when $\\alpha \\rightarrow 1$. The whole network can be divided into a core part and a group of invariant subspaces. For $ \\alpha \\rightarrow 1$ the PageRank converges to a universal power law distribution on the invariant subspaces whose size distribution also follows a universal power law. The convergence of PageRank at $ \\alpha \\rightarrow 1$ is controlled by eigenvalues of the core part of the Google matrix which are extremely close to unity leading to large relaxation times as for example in spin glasses.

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

    E-Print Network [OSTI]

    Rowland, Danny

    2009-11-18T23:59:59.000Z

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

  8. MINING CLAIM PROCEDURES NEVADA BUREAU OF MINES AND GEOLOGY

    E-Print Network [OSTI]

    Tingley, Joseph V.

    UNIVERSITY OF NEVADA RENO MINING CLAIM PROCEDURES NEVADA BUREAU OF MINES AND GEOLOGY Mackay School of Mines Fifth Edition FOR NEVADA PROSPECTORS AND MINERS by Keith G. Papke and David A. Davis #12;1 MINING CLAIM PROCEDURES NEVADA BUREAU OF MINES AND GEOLOGY Fifth Edition FOR NEVADA PROSPECTORS AND MINERS

  9. Ranking Outlier Nodes in Subspaces of Attributed Graphs

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    . Our graph outlier ranking (GOutRank) introduces scoring functions based on these selected subgraphs by looking at the most promising objects first. They 1http://www.ipd.kit.edu/~muellere/GOutRank/ allow users

  10. Data Mining: Concepts and Techniques

    E-Print Network [OSTI]

    Geldenhuys, Jaco

    11 Data Mining: Concepts and Techniques (3rd ed.) -- Chapter 1 -- Jiawei Han, Micheline Kamber. All rights reserved. #12;July 29, 2013 Data Mining: Concepts and Techniques 2July 29, 2013 Data Mining: Concepts and Techniques 2 #12;July 29, 2013 Data Mining: Concepts and Techniques 3July 29, 2013 Data Mining

  11. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

    Knudson, Curtis L. (Grand Forks, ND); Timpe, Ronald C. (Grand Forks, ND)

    1991-01-01T23:59:59.000Z

    A low-rank coal oil agglomeration process. High mineral content, a high ash content subbituminous coals are effectively agglomerated with a bridging oil which is partially water soluble and capable of entering the pore structure, and usually coal derived.

  12. Provable Low-Rank Tensor Recovery

    E-Print Network [OSTI]

    2014-02-26T23:59:59.000Z

    Feb 26, 2014 ... rank, which here we refer to as the sum-of-nuclear-norms (SNN), has been proposed in [23] and serves as a tractable measure of the tensor ...

  13. Penalty Decomposition Methods for Rank Minimization ?

    E-Print Network [OSTI]

    2010-11-22T23:59:59.000Z

    Nov 22, 2010 ... In Section 2, we establish some technical results on a class of rank minimization ..... Without loss of generality, assume that {( ¯Zk. X,. ¯. Zk ...... Department of Electrical and Computer Engineering, University of Illinois, 2009.

  14. ITP Mining: Mining Industry of the Future Mineral Processing...

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

    of the Future Mineral Processing Technology Roadmap ITP Mining: Mining Industry of the Future Mineral Processing Technology Roadmap mptroadmap.pdf More Documents & Publications ITP...

  15. Labor and Safety: Mines and Mining Safety (Indiana)

    Broader source: Energy.gov [DOE]

    This section contains labor regulations pertaining specifically to coal mine workers. The law establishes the Indiana Mining Board. The Board's duties include: collecting and distributing...

  16. Coal Mining Regulations (Kentucky)

    Broader source: Energy.gov [DOE]

    Kentucky Administrative Regulation Title 405 chapters 1, 2, 3, 5, 7, 8, 10, 12, 16, 18 and 20 establish the laws governing coal mining in the state.

  17. Coal Mining (Iowa)

    Broader source: Energy.gov [DOE]

    These sections describe procedures for coal exploration and extraction, as well as permitting requirements relating to surface and underground coal mining. These sections also address land...

  18. Interstate Mining Compact (Maryland)

    Broader source: Energy.gov [DOE]

    This legislation authorizes the state's entrance into the Interstate Mining Compact, a multi-state governmental agency / organization that represents the natural resource and related environmental...

  19. Data Mining Tools Irfan Altas

    E-Print Network [OSTI]

    Turlach, Berwin A.

    Data Mining Tools Irfan Altas School of Information Studies, Charles Sturt University Wagga Wagga discuss several scalable and parallel discovery and predictive data mining tools. They successfully Data mining tools, thin plate splines, BMARS, revolver, regression, smoothing, addi­ tive models

  20. Coal Mine Safety Act (Virginia)

    Broader source: Energy.gov [DOE]

    This Act is the primary legislation pertaining to coal mine safety in Virginia. It contains information on safety rules, safety standards and required certifications for mine workers, prohibited...

  1. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr.; Jerry L. Jensen

    2003-10-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objective for this reporting period was to further characterize the three areas selected as potential CO{sub 2} sequestration sites. Well-log data are critical for defining depth, thickness, number, and grouping of coal seams at the proposed sequestration sites. Thus, we purchased 12 hardcopy well logs (in addition to 15 well logs obtained during previous quarter) from a commercial source and digitized them to make coal-occurrence maps and cross sections. Detailed correlation of coal zones is important for reservoir analysis and modeling. Thus, we correlated and mapped Wilcox Group subdivisions--the Hooper, Simsboro and Calvert Bluff formations, as well as the coal-bearing intervals of the Yegua and Jackson formations in well logs. To assess cleat properties and describe coal characteristics, we made field trips to Big Brown and Martin Lake coal mines. This quarter we also received CO{sub 2} and methane sorption analyses of the Sandow Mine samples, and we are assessing the results. GEM, a compositional simulator developed by the Computer Modeling Group (CMG), was selected for performing the CO{sub 2} sequestration and enhanced CBM modeling tasks for this project. This software was used to conduct preliminary CO{sub 2} sequestration and methane production simulations in a 5-spot injection pattern. We are continuing to pursue a cooperative agreement with Anadarko Petroleum, which has already acquired significant relevant data near one of our potential sequestration sites.

  2. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2003-07-01T23:59:59.000Z

    The objective of this project is to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to further characterize the three areas selected as potential test sites, to begin assessing regional attributes of natural coal fractures (cleats), which control coalbed permeability, and to interview laboratories for coal sample testing. An additional objective was to initiate discussions with an operating company that has interests in Texas coalbed gas production and CO{sub 2} sequestration potential, to determine their interest in participation and cost sharing in this project. Well-log data are critical for defining depth, thickness, number, and grouping of coal seams at the proposed sequestration sites. Therefore, we purchased 15 well logs from a commercial source to make coal-occurrence maps and cross sections. Log suites included gamma ray (GR), self potential (SP), resistivity, sonic, and density curves. Other properties of the coals in the selected areas were collected from published literature. To assess cleat properties and describe coal characteristics, we made field trips to a Jackson coal outcrop and visited Wilcox coal exposures at the Sandow surface mine. Coal samples at the Sandow mine were collected for CO{sub 2} and methane sorption analyses. We contacted several laboratories that specialize in analyzing coals and selected a laboratory, submitting the Sandow Wilcox coals for analysis. To address the issue of cost sharing, we had fruitful initial discussions with a petroleum corporation in Houston. We reviewed the objectives and status of this project, discussed data that they have already collected, and explored the potential for cooperative data acquisition and exchange in the future. We are pursuing a cooperative agreement with them.

  3. Efficient Mining of Indirect Associations Using HI-Mine

    E-Print Network [OSTI]

    An, Aijun

    Efficient Mining of Indirect Associations Using HI-Mine Qian Wan and Aijun An Department. Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has been noted recently that some

  4. Carbon Sequestration on Surface Mine Lands

    SciTech Connect (OSTI)

    Donald Graves; Christopher Barton; Richard Sweigard; Richard Warner; Carmen Agouridis

    2006-03-31T23:59:59.000Z

    Since the implementation of the federal Surface Mining Control and Reclamation Act of 1977 (SMCRA) in May of 1978, many opportunities have been lost for the reforestation of surface mines in the eastern United States. Research has shown that excessive compaction of spoil material in the backfilling and grading process is the biggest impediment to the establishment of productive forests as a post-mining land use (Ashby, 1998, Burger et al., 1994, Graves et al., 2000). Stability of mine sites was a prominent concern among regulators and mine operators in the years immediately following the implementation of SMCRA. These concerns resulted in the highly compacted, flatly graded, and consequently unproductive spoils of the early post-SMCRA era. However, there is nothing in the regulations that requires mine sites to be overly compacted as long as stability is achieved. It has been cultural barriers and not regulatory barriers that have contributed to the failure of reforestation efforts under the federal law over the past 27 years. Efforts to change the perception that the federal law and regulations impede effective reforestation techniques and interfere with bond release must be implemented. Demonstration of techniques that lead to the successful reforestation of surface mines is one such method that can be used to change perceptions and protect the forest ecosystems that were indigenous to these areas prior to mining. The University of Kentucky initiated a large-scale reforestation effort to address regulatory and cultural impediments to forest reclamation in 2003. During the three years of this project 383,000 trees were planted on over 556 acres in different physiographic areas of Kentucky (Table 1, Figure 1). Species used for the project were similar to those that existed on the sites before mining was initiated (Table 2). A monitoring program was undertaken to evaluate growth and survival of the planted species as a function of spoil characteristics and reclamation practice. In addition, experiments were integrated within the reforestation effort to address specific questions pertaining to sequestration of carbon (C) on these sites.

  5. Solar for Mining Hugh Rudnick

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    Solar for Mining Hugh Rudnick Professor Pontificia Universidad Católica de Chile #12;Solar Energy in Mining · Solar energy is becoming affordable · Attractive potential use for mining purposes · Must solve the storage requirement to increase its participation worldwide #12;Solar Energy in Mining · Electrical Energy

  6. Mining Test Cases To Improve Software Maintenance

    E-Print Network [OSTI]

    Ziftci, Celal

    Chapter 6 Automatically Mining Requirements Relationships6.4 R EQ R EL E X : Mining Requirements Relationships fromTest Cases . . . . 6.4.1 Mining Requirements

  7. System Problem Detection by Mining Console Logs

    E-Print Network [OSTI]

    Xu, Wei

    2010-01-01T23:59:59.000Z

    5.4.1 Stage 1 pattern mining results . . . . . . . . 5.4.25.2 Stage 1: Frequent Pattern Mining . . . . . . . . . .5.2.1 Mining frequent event patterns . . . . .

  8. Indonesian coal mining

    SciTech Connect (OSTI)

    NONE

    2008-11-15T23:59:59.000Z

    The article examines the opportunities and challenges facing the Indonesian coal mining industry and how the coal producers, government and wider Indonesian society are working to overcome them. 2 figs., 1 tab.

  9. Strip Mine Law (Missouri)

    Broader source: Energy.gov [DOE]

    This law authorizes the Land Reclamation Commission of the Department of Natural Resources to adopt and promulgate rules and regulations pertaining to strip mining of coal and reclamation, review...

  10. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

    Knudson, C.L.; Timpe, R.C.

    1991-07-16T23:59:59.000Z

    A low-rank coal oil agglomeration process is described. High mineral content, a high ash content subbituminous coals are effectively agglomerated with a bridging oil which is partially water soluble and capable of entering the pore structure, and is usually coal-derived.

  11. Computational Enhancements in Low-Rank Semidefinite ...

    E-Print Network [OSTI]

    2004-07-12T23:59:59.000Z

    Jul 12, 2004 ... ?Department of Management Sciences, University of Iowa, Iowa City, .... Moreover, it has been observed in practice that the ... do not suggest that one particular version of the low-rank algorithm is best for all problem ...... Scientific Library Reference Manual, second edition. http://www.gnu.org/software/.

  12. The generating rank of the symplectic grassmannians

    E-Print Network [OSTI]

    Blok, Rieuwert J.

    . Blok Department of Mathematics and Statistics Bowling Green State University Bowling Green, OH 43403 U and Statistics Bowling Green State University Bowling Green, OH 43403 Tel.: +1 (419) 372-7455 FAX : +1 (419) 372, the generating rank of a geometry equals the dimension of the universal embedding of that geometry, if it exists

  13. Link Analysis Ranking Algorithms, Theory, and Experiments #

    E-Print Network [OSTI]

    Rosenthal, Jeffrey S.

    and the widespread accessibility of the Web has led to surge of research activity in the area of information retrieval on the World Wide Web. The seminal papers of Kleinberg [31], and Brin and Page [9] introduced Link Analysis Ranking, where hyperlink structures are used to determine the relative authority of a Web page

  14. Characterization of seven United States coal regions. The development of optimal terrace pit coal mining systems

    SciTech Connect (OSTI)

    Wimer, R.L.; Adams, M.A.; Jurich, D.M.

    1981-02-01T23:59:59.000Z

    This report characterizes seven United State coal regions in the Northern Great Plains, Rocky Mountain, Interior, and Gulf Coast coal provinces. Descriptions include those of the Fort Union, Powder River, Green River, Four Corners, Lower Missouri, Illinois Basin, and Texas Gulf coal resource regions. The resource characterizations describe geologic, geographic, hydrologic, environmental and climatological conditions of each region, coal ranks and qualities, extent of reserves, reclamation requirements, and current mining activities. The report was compiled as a basis for the development of hypothetical coal mining situations for comparison of conventional and terrace pit surface mining methods, under contract to the Department of Energy, Contract No. DE-AC01-79ET10023, entitled The Development of Optimal Terrace Pit Coal Mining Systems.

  15. HPGMG 1.0: A Benchmark for Ranking High Performance Computing Systems

    E-Print Network [OSTI]

    Adams, Mark

    2014-01-01T23:59:59.000Z

    for Ranking High Performance Computing Systems Mark F. Adamsmetric for ranking high performance computing systems. HPLmetric for ranking high performance computing systems. When

  16. Quantifier rank spectrum of L-infinity-omega

    E-Print Network [OSTI]

    Ackerman, Nathaniel Leedom

    2006-01-01T23:59:59.000Z

    In Part A we will study the quantifier rank spectrum of sentences of L!1,!. We will show that there are scattered sentences with models of arbitrarily high but bounded quantifier rank. We will also consider the case of ...

  17. Graded Relevance Ranking for Synonym Discovery Andrew Yates

    E-Print Network [OSTI]

    the pointwise mutual information (PMI) between the 16-term windows that a given pair of terms appear in. When used to rank synonym candidates, this method ranks them by the PMI between a target term and each

  18. Abstract--Data mining aims at extraction of previously unidentified information from large databases. It can be

    E-Print Network [OSTI]

    Fong, Chi Chiu "Simon"

    1 Abstract-- Data mining aims at extraction of previously unidentified information from large the last few years. Several works in the past emphasized the integration of OLAP and data mining. More recently, data mining techniques along with OLAP have been applied in decision support applications

  19. Rank-Based Estimation for GARCH Processes Beth Andrews

    E-Print Network [OSTI]

    Andrews, Beth

    Rank-Based Estimation for GARCH Processes Beth Andrews Northwestern University September 7, 2011 Abstract We consider a rank-based technique for estimating GARCH model parameters, some of which are scale transformations of conventional GARCH parameters. The estimators are obtained by minimizing a rank-based residual

  20. Generic Pattern Mining via Data Mining Template Library

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    - rithms for classification, and Weka [20], which is a general purpose Java library of different dataGeneric Pattern Mining via Data Mining Template Library Mohammed J. Zaki, Nilanjana De, Feng Gao. In this paper we propose the Data Mining Template Library, a collec- tion of generic containers and algorithms

  1. Surface Coal Mining Regulations (Mississippi)

    Broader source: Energy.gov [DOE]

    The Surface Coal Mining Regulations are a combination of permitting requirements and environmental regulations that limit how, where and when coal can be mined. It protects lands that are under...

  2. Montana Coal Mining Code (Montana)

    Broader source: Energy.gov [DOE]

    The Department of Labor and Industry is authorized to adopt rules pertaining to safety standards for all coal mines in the state. The Code requires coal mine operators to make an accurate map or...

  3. School of Mines 2002 2003

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines

  4. School of Mines Undergraduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines

  5. Sentiment Analysis and Opinion Mining

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    Sentiment Analysis and Opinion Mining Bing Liu Department of Computer Science University Mining Morgan & Claypool Publishers, May 2012. #12;Bing Liu @ AAAI-2011, Aug. 8, 2011, San Francisco, USA 2 Introduction Opinion mining or sentiment analysis Computational study of opinions, sentiments

  6. Mining the Blazar Sky

    E-Print Network [OSTI]

    Paolo Padovani; Paolo Giommi

    2000-12-15T23:59:59.000Z

    We present the results of our methods to "mine" the blazar sky, i.e., select blazar candidates with very high efficiency. These are based on the cross-correlation between public radio and X-ray catalogs and have resulted in two surveys, the Deep X-ray Radio Blazar Survey (DXRBS) and the "Sedentary" BL Lac survey. We show that data mining is vital to select sizeable, deep samples of these rare active galactic nuclei and we touch upon the identification problems which deeper surveys will face.

  7. Evaluation and Ranking of Geothermal Resources for Electrical Generation or Electrical Offset in Idaho, Montana, Oregon and Washington. Volume I.

    SciTech Connect (OSTI)

    Bloomquist, R. Gordon

    1985-06-01T23:59:59.000Z

    The objective was to consolidate and evaluate all geologic, environmental, and legal and institutional information in existing records and files, and to apply a uniform methodology to the evaluation and ranking of sites to allow the making of creditable forecasts of the supply of geothermal energy which could be available in the region over a 20 year planning horizon. A total of 1265 potential geothermal resource sites were identified from existing literature. Site selection was based upon the presence of thermal and mineral springs or wells and/or areas of recent volcanic activity and high heat flow. 250 sites were selected for detailed analysis. A methodology to rank the sites by energy potential, degree of developability, and cost of energy was developed. Resource developability was ranked by a method based on a weighted variable evaluation of resource favorability. Sites were ranked using an integration of values determined through the cost and developability analysis. 75 figs., 63 tabs.

  8. Coal Mining on Pitching Seams

    E-Print Network [OSTI]

    Brown, George MacMillan

    1915-01-01T23:59:59.000Z

    . 1915* App r ov e d: Department of Mining Engineering* COAL MUTING ON PITCHING SEAMS A THESIS SUBMITTED TO THE FACULTY OP THE SCHOOL OP ENGINEERING OF THE UNIVERSITY OP KANSAS for THE DEGREE OF ENGINEER OF MINES BY GEORGE MACMILLAN BROWN 1915... PREFACE In the following dissertation on the subject of "Coal Mining in Pitching Beams" the writer desires to describe more particularly those methods of mining peculiar to coal mines in Oklahoma, with which he has been more or less familiar during...

  9. Constraint Based Mining of First Order Sequences in SeqLog (Extended Abstract)

    E-Print Network [OSTI]

    Dzeroski, Saso

    ,deraedt}@informatik.uni­freiburg.de Abstract. A logical language, SeqLog, for mining and querying sequen­ tial data and databases is presented of user­ modeling that validate of the approach. 1 Introduction Data mining has been a hot research topic in recent years, and the mining of knowledge from data of various models has been studied. One popular data

  10. Nuclear Facility Risk Ranking | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake YourDepartment of EnergyNoticeFacility Risk Ranking

  11. GICHD Mine Dog Testing Project - Soil Sample Results No.3

    SciTech Connect (OSTI)

    PHELAN, JAMES M.; BARNETT, JAMES L.; BENDER, SUSAN FAE ANN; ARCHULETA, LUISA M.

    2003-03-01T23:59:59.000Z

    A mine dog evaluation project initiated by the Geneva International Center for Humanitarian Demining is evaluating the capability and reliability of mine detection dogs. The performance of field-operational mine detection dogs will be measured in test minefields in Afghanistan and Bosnia containing actual, but unfused landmines. Repeated performance testing over two years through various seasonal weather conditions will provide data simulating near real world conditions. Soil samples will be obtained adjacent to the buried targets repeatedly over the course of the test. Chemical analysis results from these soil samples will be used to evaluate correlations between mine dog detection performance and seasonal weather conditions. This report documents the analytical chemical methods and results from the third batch of soils received. This batch contained samples from Kharga, Afghanistan collected in October 2002.

  12. GICHD mine dog testing project - soil sample results #4.

    SciTech Connect (OSTI)

    Barnett, James L.; Phelan, James M.; Archuleta, Luisa M.; Wood, Tyson B.; Donovan, Kelly L.; Bender, Susan Fae Ann

    2003-08-01T23:59:59.000Z

    A mine dog evaluation project initiated by the Geneva International Center for Humanitarian Demining is evaluating the capability and reliability of mine detection dogs. The performance of field-operational mine detection dogs will be measured in test minefields in Afghanistan and Bosnia containing actual, but unfused landmines. Repeated performance testing over two years through various seasonal weather conditions will provide data simulating near real world conditions. Soil samples will be obtained adjacent to the buried targets repeatedly over the course of the test. Chemical analysis results from these soil samples will be used to evaluate correlations between mine dog detection performance and seasonal weather conditions. This report documents the analytical chemical methods and results from the fourth batch of soils received. This batch contained samples from Kharga, Afghanistan collected in April 2003 and Sarajevo, Bosnia collected in May 2003.

  13. Capture and Use of Coal Mine Ventilation Air Methane

    SciTech Connect (OSTI)

    Deborah Kosmack

    2008-10-31T23:59:59.000Z

    CONSOL Energy Inc., in conjunction with MEGTEC Systems, Inc., and the U.S. Department of Energy with the U.S. Environmental Protection Agency, designed, built, and operated a commercial-size thermal flow reversal reactor (TFRR) to evaluate its suitability to oxidize coal mine ventilation air methane (VAM). Coal mining, and particularly coal mine ventilation air, is a major source of anthropogenic methane emissions, a greenhouse gas. Ventilation air volumes are large and the concentration of methane in the ventilation air is low; thus making it difficult to use or abate these emissions. This test program was conducted with simulated coal mine VAM in advance of deploying the technology on active coal mine ventilation fans. The demonstration project team installed and operated a 30,000 cfm MEGTEC VOCSIDIZER oxidation system on an inactive coal mine in West Liberty, WV. The performance of the unit was monitored and evaluated during months of unmanned operation at mostly constant conditions. The operating and maintenance history and how it impacts the implementation of the technology on mine fans were investigated. Emission tests showed very low levels of all criteria pollutants at the stack. Parametric studies showed that the equipment can successfully operate at the design specification limits. The results verified the ability of the TFRR to oxidize {ge}95% of the low and variable concentration of methane in the ventilation air. This technology provides new opportunities to reduce greenhouse gas emissions by the reduction of methane emissions from coal mine ventilation air. A large commercial-size installation (180,000 cfm) on a single typical mine ventilation bleeder fan would reduce methane emissions by 11,000 to 22,100 short tons per year (the equivalent of 183,000 to 366,000 metric tonnes carbon dioxide).

  14. Data Mining ICPSR Summer Program, 2008

    E-Print Network [OSTI]

    Stine, Robert A.

    Data Mining ICPSR Summer Program, 2008 Robert Stine Statistics Department Wharton School-stat.wharton.upenn.edu/~stine These lectures introduce data mining. Once a nasty thing to be accused of, data mining has become respectable, useful, and even necessary. What is data mining? Basically, data mining refers to statistical algorithms

  15. Ranking forestry journals using the h-index

    E-Print Network [OSTI]

    Vanclay, Jerome K

    2007-01-01T23:59:59.000Z

    An expert ranking of forestry journals was compared with journal impact factors and h-indices computed from ISI and internet-based data. Citations reported by Google Scholar appear to offer the most efficient way to rank all journals objectively, in a manner consistent with other indicators. A ranking of 180 forestry journals is presented, on the basis of an h-index computed from data supplied by Google Scholar.

  16. Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining

    E-Print Network [OSTI]

    Pei, Jian

    Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining Jian, object-relational DBMS, data warehouse sys- tems, etc. We believe that benchmarking data mining mining systems as well. Frequent pattern mining forms a core component in mining associations

  17. ITP Mining: Education Roadmap for Mining Professionals (December...

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

    this path supply Americans with the basic materials needed to sustain their standard of living. However, the role of the mining industry in meeting these needs is often...

  18. Proceedings of the sixteenth biennial low-rank fuels symposium

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    Low-rank coals represent a major energy resource for the world. The Low-Rank Fuels Symposium, building on the traditions established by the Lignite Symposium, focuses on the key opportunities for this resource. This conference offers a forum for leaders from industry, government, and academia to gather to share current information on the opportunities represented by low-rank coals. In the United States and throughout the world, the utility industry is the primary user of low-rank coals. As such, current experiences and future opportunities for new technologies in this industry were the primary focuses of the symposium.

  19. Optimization Online - Guaranteed Minimum-Rank Solutions of ...

    E-Print Network [OSTI]

    Benjamin Recht

    2007-06-28T23:59:59.000Z

    Jun 28, 2007 ... Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. Benjamin Recht(brecht ***at*** caltech.edu)

  20. ALGEBRAS OF REAL RANK ZERO M. Dadarlat and G. Gong

    E-Print Network [OSTI]

    1997-08-11T23:59:59.000Z

    A sweeping conjecture of Elliott asserts that the simple nuclear C*-algebras ... The results available so far suggest that the nuclear C*-algebras of real rank.

  1. Optimization Online - Sufficient Conditions for Low-rank Matrix ...

    E-Print Network [OSTI]

    Lingchen Kong

    2011-06-15T23:59:59.000Z

    Jun 15, 2011 ... This class of optimization problems is $NP$-hard and a popular approach replaces the rank function with the nuclear norm of the matrix ...

  2. Finding approximately rank-one submatrices with the nuclear norm ...

    E-Print Network [OSTI]

    2010-11-08T23:59:59.000Z

    We propose a convex optimization formulation with the nuclear norm and l1-norm to find a large approximately rank-one submatrix of a given nonnegative matrix ...

  3. Finding approximately rank-one submatrices with the nuclear norm ...

    E-Print Network [OSTI]

    Xuan Vinh Doan

    2010-11-08T23:59:59.000Z

    Nov 8, 2010 ... Abstract: We propose a convex optimization formulation with the nuclear norm and $\\ell_1$-norm to find a large approximately rank-one ...

  4. RECOVERING LOW-RANK AND SPARSE COMPONENTS OF ...

    E-Print Network [OSTI]

    2009-12-31T23:59:59.000Z

    Dec 31, 2009 ... a convex relaxation problem where the widely-acknowledged nuclear norm and l1 norm are utilized to induce low-rank and sparsity.

  5. SUFFICIENT CONDITIONS FOR LOW-RANK MATRIX RECOVERY ...

    E-Print Network [OSTI]

    2011-06-15T23:59:59.000Z

    Jun 15, 2011 ... is -hard and a popular approach replaces the rank function with the nuclear norm of the matrix variable. In this paper, we extend the ...

  6. SPARSE AND LOW-RANK MATRIX DECOMPOSITION VIA ...

    E-Print Network [OSTI]

    2009-10-04T23:59:59.000Z

    relaxation problem where the l1 norm and the nuclear norm are utilized for being surrogates of the sparsity and low-rank. Numerically, this convex relaxation ...

  7. Lowest-rank Solutions of Continuous and Discrete Lyapunov ...

    E-Print Network [OSTI]

    Ziyan Luo

    2012-10-09T23:59:59.000Z

    Oct 9, 2012 ... Abstract: The low-rank solutions of continuous and discrete Lyapunov equations are of great importance but generally difficult to achieve in ...

  8. U.S. Environmental Protection Agency Evaluation of Uranium Mining TENORM Wastes-Characteristics, Occurrence, and Risks

    SciTech Connect (OSTI)

    Setlow, L.W. [U.S. Environmental Protection Agency, Office of Radiation and Indoor Air (6608J), Washington, DC (United States); Peake, R.T. [U.S. Environmental Protection Agency, Office of Radiation and Indoor Air (6608J), Washington, DC (United States)

    2007-07-01T23:59:59.000Z

    The U.S. Environmental Protection Agency is completing a multi year effort to issue technical reports and obtain stakeholder views on future programs to mitigate potential hazards associated with uranium mining Technologically Enhanced Naturally Occurring Radioactive Materials (TENORM). The technical reports are the most comprehensive issued by the Agency on this topic, and should have utility for reclamation of abandoned uranium mines, as well as providing information for new mines proposed by the uranium mining industry. This presentation will provide principal results of the three technical reports issued, and elements of the proposed EPA program for uranium mining TENORM. (authors)

  9. Development of On-Board Fluid Analysis for the Mining Industry - Final report

    SciTech Connect (OSTI)

    Pardini, Allan F.

    2005-08-16T23:59:59.000Z

    Pacific Northwest National Laboratory (PNNL: Operated by Battelle Memorial Institute for the Department of Energy) is working with the Department of Energy (DOE) to develop technology for the US mining industry. PNNL was awarded a three-year program to develop automated on-board/in-line or on-site oil analysis for the mining industry.

  10. Latent Friend Mining from Blog Data , Jian-Tao Sun2

    E-Print Network [OSTI]

    Yang, Qiang

    , it is not easy to obtain and maintain the profiles manually. Therefore, the automatic approaches in mining usersLatent Friend Mining from Blog Data Dou Shen1 , Jian-Tao Sun2 , Qiang Yang1 , Zheng Chen2 1 in recent years with benefits for different types of users. For individuals, the Web community helps

  11. Coal-Mac, Inc. Phoenix No. 1 mine provides wildlife haven. 2007 Wildlife West Virginia Award

    SciTech Connect (OSTI)

    Skinner, A.

    2007-07-15T23:59:59.000Z

    Coal Mac, Inc.'s Harless Wood Industrial Park off Holden 22 Mines Road in Logan Country, West Virginia is an award-winning reclamation site in the mountains frequented by geese, wild turkey, deer and black bears. Orchard grass and rye is a temporary cover for the timothy, clover and other seedlings. The area was mined several years ago. Some 40,000-50,000 tons of coal per month are surfaced mined with the current permit that takes in 1,500-2,000 acres. After removing the coal, valleys are backfilled as part of the mining and reclamation plan. 10 photos.

  12. Exact Primitives for Time Series Data Mining

    E-Print Network [OSTI]

    Mueen, Abdullah Al

    2012-01-01T23:59:59.000Z

    G. Silva, and Rui M. M. Brito. Mining approximate motifs intime series. In Data Mining, 2001. ICDM 2001, Proceedingson Knowledge discovery and data mining, KDD, pages 947–956,

  13. Data Mining Historical Manuscripts and Culture Artifacts

    E-Print Network [OSTI]

    Zhu, Qiang

    2011-01-01T23:59:59.000Z

    Workshop on Temporal Data Mining. [62] Liu, Y. , Zhang, D. ,Faloutsos, C. 2006. Automatic mining of fruit fly embryo2011. The Mouse that Roared: Mining Massive Archives of Mice

  14. Efficient Algorithms for High Dimensional Data Mining

    E-Print Network [OSTI]

    Rakthanmanon, Thanawin

    2012-01-01T23:59:59.000Z

    E. J. Keogh. 2008. Querying and mining of time series data:Dupasquier and S. Burschka. 2011. Data mining for hackers –encrypted traffic mining. The 28 th Chaos Comm’ Congress. Y.

  15. Data Mining Within a Regression Framework

    E-Print Network [OSTI]

    Richard A. Berk

    2011-01-01T23:59:59.000Z

    I.H. and E. Frank. (2000). Data Mining. New York: Morgan and2003) Exploratory Data Mining and Data Cleaning. New York:2001) Principle of Data Mining. Cambridge, Massachusetts:

  16. DTC DATA MINING CONSORTIUM MEMBERSHIP BENEFITS

    E-Print Network [OSTI]

    Minnesota, University of

    DTC DATA MINING CONSORTIUM MEMBERSHIP BENEFITS I Collaboration with leading companies I BEHAVIORAL ECOLOGY DRUG DISCOVERY BUSINESS SALES & MARKETING AUTOMOTIVE CRM GOVERNMENT CYBER SECURITY Creation Analysis Optimization Scalable Database Mining Auto-Mining Agents CUTTING-EDGE CAPABILITIES

  17. Data Mining Within a Regression Framework

    E-Print Network [OSTI]

    Berk, Richard

    2004-01-01T23:59:59.000Z

    I.H. and E. Frank. (2000). Data Mining. New York: Morgan and2003) Exploratory Data Mining and Data Cleaning. New York:2001) Principle of Data Mining. Cambridge, Massachusetts:

  18. The Environmental Aspects of Deep Seabed Mining

    E-Print Network [OSTI]

    Kindt, John Warren

    1989-01-01T23:59:59.000Z

    United States Deep Seabed Mining, 19 WM. & MARY L. REV. 77 (Aspects of Deep Seabed Mining" John Warren Kindt* I.with deep seabed mining. As of 1988, the available

  19. Proceedings, 26th international conference on ground control in mining

    SciTech Connect (OSTI)

    Peng, S.S.; Mark, C.; Finfinger, G. (and others) (eds.)

    2007-07-01T23:59:59.000Z

    Papers are presented under the following topic headings: multiple-seam mining, surface subsidence, coal pillar, bunker and roadway/entry supports, mine design and highwall mining, longwall, roof bolting, stone and hardrock mining, rock mechanics and mine seal.

  20. An experimental investigation of mine burial penetration in soft sediments

    E-Print Network [OSTI]

    Munim, Mohammed Abdul

    2003-01-01T23:59:59.000Z

    of that of actual mines. The factors selected for the investigation were mine weight, preburial condition of the mine, mine orientation, impact velocity of the mine and shear strength and creep characteristics of the soil. Only the geotechnical aspects...

  1. Insider Threat Detection using Stream Mining and Graph Mining

    E-Print Network [OSTI]

    Hamlen, Kevin W.

    Insider Threat Detection using Stream Mining and Graph Mining Pallabi Parveen, Jonathan Evans threats who attempt to conceal their activities by varying their behaviors over time. This paper applies of insider threat detection, demonstrating that the ensemble-based approach is significantly more effective

  2. Arkansas Surface Coal Mining Reclamation Act (Arkansas)

    Broader source: Energy.gov [DOE]

    The Arkansas Surface Coal Mining Reclamation Act authorizes the state to develop, adopt, issue and amend rules and regulations pertaining to surface coal mining and reclamation operations. These...

  3. Minerals and Mining Program (South Dakota)

    Broader source: Energy.gov [DOE]

    The Minerals and Mining Program has the authority to oversee mining activities in the state and issue regulations pertaining to the permitting and environmental impact mitigation of, and...

  4. Climate VISION: PrivateSector Initiatives: Mining

    Office of Scientific and Technical Information (OSTI)

    Letters of IntentAgreements National Mining Association Logo Read the National Mining Association Commitment Letter (PDF 68 KB) Download Acrobat Reader...

  5. November 2012 SOCIETY for MINING, METALLURGY, and

    E-Print Network [OSTI]

    November 2012 2013-2014 SOCIETY for MINING, METALLURGY, and EXPLORATION (SME) Colorado Section goals (mining/civil/environmental engineering, metallurgy, economic geology, geochemistry

  6. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R.

    1992-12-01T23:59:59.000Z

    A method of chemically comminuting a low-rank coal while at the same time increasing the heating value of the coal. A strong alkali solution is added to a low-rank coal to solubilize the carbonaceous portion of the coal, leaving behind the noncarbonaceous mineral matter portion. The solubilized coal is precipitated from solution by a multivalent cation, preferably calcium.

  7. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R. (Idaho Falls, ID)

    1992-01-01T23:59:59.000Z

    A method of chemically comminuting a low-rank coal while at the same time increasing the heating value of the coal. A strong alkali solution is added to a low-rank coal to solubilize the carbonaceous portion of the coal, leaving behind the noncarbonaceous mineral matter portion. The solubilized coal is precipitated from solution by a multivalent cation, preferably calcium.

  8. KALMAN'S CONTROLLABILITY RANK CONDITION: FROM LINEAR TO NONLINEAR \\Lambda

    E-Print Network [OSTI]

    Sontag, Eduardo

    KALMAN'S CONTROLLABILITY RANK CONDITION: FROM LINEAR TO NONLINEAR \\Lambda Eduardo D. Sontag y SYCON was identified by Kalman as one of the cen­ tral properties determining system behavior. His simple rank assumptions were needed in establishing results on optimal control. However, it was not until Kalman's work

  9. KALMAN'S CONTROLLABILITY RANK CONDITION: FROM LINEAR TO NONLINEAR

    E-Print Network [OSTI]

    Sontag, Eduardo

    KALMAN'S CONTROLLABILITY RANK CONDITION: FROM LINEAR TO NONLINEAR Eduardo D. Sontag SYCON was identified by Kalman as one of the cen- tral properties determining system behavior. His simple rank assumptions were needed in establishing results on optimal control. However, it was not until Kalman's work

  10. Distribution of ranks of ?-decay half-lives

    E-Print Network [OSTI]

    Juan Miguel Campanario

    2010-11-21T23:59:59.000Z

    I studied the distribution of ranks of values of 2949 {\\beta}-decay half-lives according to an empirical beta law with two exponents. {\\beta}-decay half-life ranks showed good fit to a beta function with two exponents.

  11. A fast, constantorder, symbol ranking text Peter Fenwick

    E-Print Network [OSTI]

    Fenwick, Peter

    capable of efficient hardware implementation. The compressor is based on a conventional setA fast, constant­order, symbol ranking text compressor Peter Fenwick Technical Report 145 ISSN 1173, New Zealand peter­f@cs.auckland.ac.nz Abstract Recent work on ``symbol ranking'' text compressors

  12. SURVIVAL PROBABILITY IN RANK-ONE PERTURBATION PROBLEMS

    E-Print Network [OSTI]

    Poltoratski, Alexei

    SURVIVAL PROBABILITY IN RANK-ONE PERTURBATION PROBLEMS with changing boundary condition. The general question of perturbation theory can be stated as follows the effect of rank-one perturbations on the asymptotics of the so-called survival probability. This notion

  13. My years with Rutishauser By Friedrich L. Bauer, TU Munich

    E-Print Network [OSTI]

    O'Leary, Dianne P.

    My years with Rutishauser By Friedrich L. Bauer, TU Munich February 19, 1952 Heinz Rutishauser class that I became aquainted with in the fifties, he ranks in one line with Klaus Samelson (1918

  14. Hydraulic mining method

    DOE Patents [OSTI]

    Huffman, Lester H. (Kent, WA); Knoke, Gerald S. (Kent, WA)

    1985-08-20T23:59:59.000Z

    A method of hydraulically mining an underground pitched mineral vein comprising drilling a vertical borehole through the earth's lithosphere into the vein and drilling a slant borehole along the footwall of the vein to intersect the vertical borehole. Material is removed from the mineral vein by directing a high pressure water jet thereagainst. The resulting slurry of mineral fragments and water flows along the slant borehole into the lower end of the vertical borehole from where it is pumped upwardly through the vertical borehole to the surface.

  15. Mining | 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 onYouTube YouTube Note: Since the.pdfBreaking ofOil &315_ArnibanPriority DataPARTMining Mining Supply and cost

  16. Web Mining for Hyperlinked Communities

    E-Print Network [OSTI]

    Hu, Wen-Chen

    Web Mining for Hyperlinked Communities Gary William Flake flake@research.nj.nec.com NEC Research Institute #12;Motivation for Web Mining More than 1B web pages and 20TB of raw data. Even more content will always be disorganized (or at best self-organized). In the future, everything will be on the web

  17. Rank Extraction in Tin-Oxide Sensor Arrays Page 1 of 23 Rank Extraction in Tin-Oxide Sensor Arrays

    E-Print Network [OSTI]

    Roppel, Thaddeus A.

    Rank Extraction in Tin-Oxide Sensor Arrays Page 1 of 23 Rank Extraction in Tin-Oxide Sensor Arrays the amount of data to be processed. This work is a first example in feature extraction from tin-oxide sensors element array of tin-oxide sensors is presented. Results are extrapolated to other arrays of chemical

  18. Measuring mine roof bolt strains

    DOE Patents [OSTI]

    Steblay, Bernard J. (Lakewood, CO)

    1986-01-01T23:59:59.000Z

    A mine roof bolt and a method of measuring the strain in mine roof bolts of this type are disclosed. According to the method, a flat portion on the head of the mine roof bolt is first machined. Next, a hole is drilled radially through the bolt at a predetermined distance from the bolt head. After installation of the mine roof bolt and loading, the strain of the mine roof bolt is measured by generating an ultrasonic pulse at the flat portion. The time of travel of the ultrasonic pulse reflected from the hole is measured. This time of travel is a function of the distance from the flat portion to the hole and increases as the bolt is loaded. Consequently, the time measurement is correlated to the strain in the bolt. Compensation for various factors affecting the travel time are also provided.

  19. Nesting ecology of dickcissels on reclaimed surface-mined lands in Freestone County, Texas 

    E-Print Network [OSTI]

    Dixon, Thomas Pingul

    2005-02-17T23:59:59.000Z

    Surface mining and subsequent reclamation often results in the establishment of large areas of grassland that can benefit wildlife. Grasslands have declined substantially over the last 150 years, resulting in declines of ...

  20. Mourning dove differential use of reclaimed surface-mined lands in east-central Texas

    E-Print Network [OSTI]

    Huff, James Eric

    2001-01-01T23:59:59.000Z

    . Fourteen transects in different aged reclaimed surface-mined lands and in different land-use types were monitored during morning and evening hours monthly for 1 year to examine differential use by mourning doves. Mourning dove densities were determined...

  1. SRS: Site ranking system for hazardous chemical and radioactive waste

    SciTech Connect (OSTI)

    Rechard, R.P.; Chu, M.S.Y.; Brown, S.L.

    1988-05-01T23:59:59.000Z

    This report describes the rationale and presents instructions for a site ranking system (SRS). SRS ranks hazardous chemical and radioactive waste sites by scoring important and readily available factors that influence risk to human health. Using SRS, sites can be ranked for purposes of detailed site investigations. SRS evaluates the relative risk as a combination of potentially exposed population, chemical toxicity, and potential exposure of release from a waste site; hence, SRS uses the same concepts found in a detailed assessment of health risk. Basing SRS on the concepts of risk assessment tends to reduce the distortion of results found in other ranking schemes. More importantly, a clear logic helps ensure the successful application of the ranking procedure and increases its versatility when modifications are necessary for unique situations. Although one can rank sites using a detailed risk assessment, it is potentially costly because of data and resources required. SRS is an efficient approach to provide an order-of-magnitude ranking, requiring only readily available data (often only descriptive) and hand calculations. Worksheets are included to make the system easier to understand and use. 88 refs., 19 figs., 58 tabs.

  2. Expansion of the commercial output of Estonian oil shale mining and processing

    SciTech Connect (OSTI)

    Fraiman, J.; Kuzmiv, I. [Estonian Oil Shale State Co., Jyhvi (Estonia). Scientific Research Center

    1996-09-01T23:59:59.000Z

    Economic and ecological preconditions are considered for the transition from monoproduct oil shale mining to polyproduct Estonian oil shale deposits. Underground water, limestone, and underground heat found in oil shale mines with small reserves can be operated for a long time using chambers left after oil shale extraction. The adjacent fields of the closed mines can be connected to the operations of the mines that are still working. Complex usage of natural resources of Estonian oil shale deposits is made possible owing to the unique features of its geology and technology. Oil shale seam development is carried out at shallow depths (40--70 m) in stable limestones and does not require expensive maintenance. Such natural resources as underground water, carbonate rocks, heat of rock mass, and underground chambers are opened by mining and are ready for utilization. Room-and-pillar mining does not disturb the surface, and worked oil shale and greenery waste heaps do not breach its ecology. Technical decisions and economic evaluation are presented for the complex utilization of natural resources in the boundaries of mine take of the ``Tammiku`` underground mine and the adjacent closed mine N2. Ten countries have already experienced industrial utilization of oil shale in small volumes for many years. Usually oil shale deposits are not notable for complex geology of the strata and are not deeply bedded. Thus complex utilization of quite extensive natural resources of Estonian oil shale deposits is of both scientific and practical interest.

  3. NEW MEXICO SCHOOL OF MINES STATE BUREAU OF MINES AND MINERAL RESOURCES

    E-Print Network [OSTI]

    Lee, Cin-Ty Aeolus

    NEW MEXICO SCHOOL OF MINES STATE BUREAU OF MINES AND MINERAL RESOURCES BULLETIN 13 FRONTISPIECE PIT AT HARDING MINE (To left of dump) DUMP AT HARDING MINE (To right of pit) #12;NEW MEXICO SCHOOL OF MINES STATE and Economic Features of the Pegmatites of Taos and Rio Arriba Counties, New Mexico By EVAN JUST SOCORRO, N. M

  4. Video Mining with Frequent Itemset Configurations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Video Mining with Frequent Itemset Configurations Till Quack1 , Vittorio Ferrari2 , and Luc Van Gool1 1 ETH Zurich 2 LEAR - INRIA Grenoble Abstract. We present a method for mining frequently arrangements of affine covariant regions. Our mining method is based on the class of frequent itemset mining

  5. Mining Weighted Association Rules without Preassigned Weights

    E-Print Network [OSTI]

    Bai, Fengshan

    Mining Weighted Association Rules without Preassigned Weights Ke Sun and Fengshan Bai Abstract--Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does not work on databases with only binary attributes

  6. Identifying Relevant Databases for Multidatabase Mining

    E-Print Network [OSTI]

    Liu, Huan

    Identifying Relevant Databases for Multidatabase Mining Huan Liu, Hongjun Lu, Jun Yao Department,luhj,yaojung@iscs.nus.edu.sg Abstract. Various tools and systems for knowledge discovery and data mining are developed and available is where we should start mining. In this paper, breaking away from the conventional data mining assumption

  7. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics Colorado School of Mines CGEM Dongjie Cheng #12;#12;Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: December 2003 Advisor: Dr. Yaoguo Li (GP

  8. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics Colorado School of Mines CGEM Alisa Marie Green #12;Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: November 06, 2003 Advisor: Dr. Yaoguo Li

  9. Patrick Dudas Data Mining for Web Personalization

    E-Print Network [OSTI]

    Brusilovsky, Peter

    -gram corpuses, traffic statistics, OpenStreetMap dataset,Wikipedia traffic... #12;4/8/11 5 Data Mining Web4/8/11 1 Patrick Dudas Data Mining for Web Personalization Outline Personalization Data mining Examples Web mining MapReduce Data Preprocessing Knowledge Discovery Evaluation Information

  10. The Economic Impact of Coal Mining in New Mexico

    SciTech Connect (OSTI)

    Peach, James; Starbuck, C.

    2009-06-01T23:59:59.000Z

    The economic impact of coal mining in New Mexico is examined in this report. The analysis is based on economic multipliers derived from an input-output model of the New Mexico economy. The direct, indirect, and induced impacts of coal mining in New Mexico are presented in terms of output, value added, employment, and labor income for calendar year 2007. Tax, rental, and royalty income to the State of New Mexico are also presented. Historical coal production, reserves, and price data are also presented and discussed. The impacts of coal-fired electricity generation will be examined in a separate report.

  11. Mining and Reclamation Technology Symposium

    SciTech Connect (OSTI)

    None Available

    1999-06-24T23:59:59.000Z

    The Mining and Reclamation Technology Symposium was commissioned by the Mountaintop Removal Mining/Valley Fill Environmental Impact Statement (EIS) Interagency Steering Committee as an educational forum for the members of the regulatory community who will participate in the development of the EIS. The Steering Committee sought a balanced audience to ensure the input to the regulatory community reflected the range of perspectives on this complicated and emotional issue. The focus of this symposium is on mining and reclamation technology alternatives, which is one of eleven topics scheduled for review to support development of the EIS. Others include hydrologic, environmental, ecological, and socio-economic issues.

  12. ITP Mining: Energy and Environmental Profile of the U.S. Mining...

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

    Energy and Environmental Profile of the U.S. Mining Industry (December 2002) ITP Mining: Energy and Environmental Profile of the U.S. Mining Industry (December 2002) Cover,...

  13. Physics high-ranking Journals (category 2) Advances in Physics

    E-Print Network [OSTI]

    Physics high-ranking Journals (category 2) Advances in Physics Annual Review of Astronomy and Astrophysics Annual Review of Nuclear and Particle Science Applied Physics Letters Astronomy & Astrophysics Astronomy and Astrophysics Review Astrophysical Journal European Physical Journal D. Atomic, Molecular

  14. On Equivalence Relationships Between Classification and Ranking Algorithms

    E-Print Network [OSTI]

    Rudin, Cynthia

    We demonstrate that there are machine learning algorithms that can achieve success for two separate tasks simultaneously, namely the tasks of classification and bipartite ranking. This means that advantages gained from ...

  15. Canada's top-ranked digestive health research institute opens

    E-Print Network [OSTI]

    Thompson, Michael

    network Canada's top-ranked digestive health research institute opens McMaster innovates the grand opening of the Farncombe Family Digestive Health Research Institute. The creation of this unique

  16. Linear rank inequalities on five or more variables

    E-Print Network [OSTI]

    Dougherty, Randall; Zeger, Kenneth

    2009-01-01T23:59:59.000Z

    Ranks of subspaces of vector spaces satisfy all linear inequalities satisfied by entropies (including the standard Shannon inequalities) and an additional inequality due to Ingleton. It is known that the Shannon and Ingleton inequalities generate all such linear rank inequalities on up to four variables, but it has been an open question whether additional inequalities hold for the case of five or more variables. Here we give a list of 24 inequalities which, together with the Shannon and Ingleton inequalities, generate all linear rank inequalities on five variables. We also give a partial list of linear rank inequalities on six variables and general results which produce such inequalities on an arbitrary number of variables; we prove that there are essentially new inequalities at each number of variables beyond four (a result also proved recently by Kinser).

  17. Oxygen enhanced switching to combustion of lower rank fuels ...

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

    enhanced switching to combustion of lower rank fuels Re-direct Destination: A furnace that combusts fuel, such as coal, of a given minimum energy content to obtain a stated minimum...

  18. Ranks of Elliptic Curves via Class Groups of Number Fields

    E-Print Network [OSTI]

    2012-11-21T23:59:59.000Z

    state-of-the art methods to compute the rank assuming there is no rational point of order ... p /? S of K, we have valuation ordp : K ?? Kp ? Z ? {?}. If L is a ...

  19. 2011-12 At A Glance RANKINGS & RECOGNITION

    E-Print Network [OSTI]

    Ward, Karen

    " Civil Engineering"" " " 10 " Environmental Engineering" " 5 " Construction Management" " 4 " Computer Science & Engineering" 1 " Environmental Science & Engineering" 1 ALUMNI " 11,686 since 1914 FACULT Y2011-12 At A Glance RANKINGS & RECOGNITION Top Engineering Schools for Hispanics (Hispanic Business

  20. Low-rank matrix completion via preconditioned optimization on the ...

    E-Print Network [OSTI]

    2015-02-20T23:59:59.000Z

    Feb 20, 2015 ... Meyer et al. [28] and Absil et al. [3] propose a few quotient geometries for the manifold of fixed-rank matrices. In recent work, Mishra et al.

  1. Australian Mining carries rare-earth-like iron release | The...

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

    Australian Mining carries rare-earth-like iron release Australian Mining, the leading news source for the mining industry in Australia, carried a story on research Ames Lab...

  2. Proceedings, 27th international conference on ground control in mining

    SciTech Connect (OSTI)

    Peng, S.S.; Mark, C.; Finfinger, G. (and others) (eds.)

    2008-07-01T23:59:59.000Z

    Topics covered include: coal bumps and rockbursts, surface subsidence, surface mining, mine seals, longwall mining, pillars, roof bolting, rock mechanics and standing supports.

  3. Abiotic Oxidation Rate of Chalcopyrite: Implications for Seafloor Mining

    E-Print Network [OSTI]

    Bilenker, Laura Danielle

    2011-01-01T23:59:59.000Z

    in Seawater: Implications for Mining Seafloor Hot Spring.American Institute of Mining, Metallurgical, and PetroleumImplications for Seafloor Mining A Thesis submitted in

  4. Data Mining Applied to Acoustic Bird Species Recognition

    E-Print Network [OSTI]

    Vilches, Erika; Escobar, Ivan A.; Vallejo, E E; Taylor, C E

    2006-01-01T23:59:59.000Z

    I. ; Frank, E. ; Data Mining: Practical Machine LearningData Mining Applied to Acoustic Bird Species Recognitionthe application of data mining techniques to the problem of

  5. abandoned mined lands: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  6. abandoned mined land: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  7. appalachian coal mining: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  8. abandoned mining sites: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  9. abandoned mining land: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  10. advance mining: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  11. asan mining district: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  12. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01T23:59:59.000Z

    SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIEStimes are calculated for a mining and drilling progrilln toof cost and time to compl mining and core drilling for

  13. Mercury-Contaminated Hydraulic Mining Debris in San Francisco Bay

    E-Print Network [OSTI]

    Bouse, Robin M; Fuller, Christopher C; Luoma, Sam; Hornberger, Michelle I; Jaffe, Bruce E; Smith, Richard E

    2010-01-01T23:59:59.000Z

    Contaminated Hydraulic Mining Debris in San Francisco BayAbstract The hydraulic gold-mining process used during thecreated by hydraulic gold mining in the Sierra Nevada,

  14. MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUM

    E-Print Network [OSTI]

    Ratigan, J.L.

    2013-01-01T23:59:59.000Z

    for Static Evaluation of Mining Subsidence," Rep. No. LBL-6, 1981 MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR11896 MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR ~

  15. Ranking, Labeling, and Summarizing Short Text in Social Media

    E-Print Network [OSTI]

    Khabiri, Elham

    2013-04-18T23:59:59.000Z

    to do a better research. His motivation and suggestions were always with me through the completion of my PhD. Without his continuous help and support this work would not have been possible. Many thanks to my lab-mates for their support and much... KL- divergence means more discriminative power. . . . . . . . . . . . . . 105 5.14 Compare PageRank with available graph based methods (Mead and LexRank). Higher NDCG is more desirable. . . . . . . . . . . . . . . 106 5.15 Compare the tf -idf...

  16. Surface Coal Mining Law (Missouri)

    Broader source: Energy.gov [DOE]

    This law aims to provide for the regulation of coal mining in order to minimize or prevent its adverse effects, protect the environment to the extent possible, protect landowner rights, and...

  17. Coal Mining Reclamation (North Dakota)

    Broader source: Energy.gov [DOE]

    The Reclamation Division of the Public Service Commission is tasked with administering the regulation of surface coal mining and reclamation. Specific regulations can be found in article 69-05.2 of...

  18. Privacy-preserving data mining

    E-Print Network [OSTI]

    Zhang, Nan

    2009-05-15T23:59:59.000Z

    In the research of privacy-preserving data mining, we address issues related to extracting knowledge from large amounts of data without violating the privacy of the data owners. In this study, we first introduce an integrated baseline architecture...

  19. Disposal of Fluidized Bed Combustion Ash in an Underground Mine to Control Acid Mine Drainage and Subsidence

    SciTech Connect (OSTI)

    NONE

    1998-08-31T23:59:59.000Z

    This project will evaluate the technical, economic and environmental feasibility of filling abandoned underground mine voids with alkaline, advanced coal combustion wastes (Fluidized Bed Combustion (FBC) ash). Success will be measured in terms of technical feasibility of the approach (i.e. YO void filling), cost, environmental benefits (acid mine drainage and subsidence control) and environmental impacts (noxious ion release). During Phase Ill the majority of the activity involves completing two full scale demonstration projects. The eleven acre Longridge mine in Preston County will be filled with 53,000 cubic yards of grout during the spring of 1998 and monitored for following year. The second demonstration involves stowing 2000 tons of ash into an abandoned mine to demonstrate the newly redesigned Burnett Ejector. This demonstration is anticipated to take place during the winter of 1997. This document will report on progress made during Phase Ill. The report will be divided into four major sections. The first will be the Hydraulic Injection component. This section of the report will report on progress and milestones associated with the grouting activities of the project. The Phase Ill tasks of Economic Analysis and Regulatory Analysis will be covered under this section. The second component is Pneumatic Injection. This section reports on progress made towards completing the demonstration project. The Water Quality component involves background monitoring of water quality and precipitation at the Phase Ill (Longridge) mine site. The last component involves evaluating the migration of contaminants through the grouted mine. A computer model has been developed in earlier phases and will model the flow of water in and around the grouted Longridge mine.

  20. Evaluating ranking methods on heterogeneous digital library collections

    E-Print Network [OSTI]

    Canévet, Olivier; Marian, Ludmila; Chonavel, Thierry

    In the frame of research in particle physics, CERN has been developing its own web-based software /Invenio/ to run the digital library of all the documents related to CERN and fundamental physics. The documents (articles, photos, news, thesis, ...) can be retrieved through a search engine. The results matching the query of the user can be displayed in several ways: sorted by latest first, author, title and also ranked by word similarity. The purpose of this project is to study and implement a new ranking method in Invenio: distributed-ranking (D-Rank). This method aims at aggregating several ranking scores coming from different ranking methods into a new score. In addition to query-related scores such as word similarity, the goal of the work is to take into account non-query-related scores such as citations, journal impact factor and in particular scores related to the document access frequency in the database. The idea is that for two equally query-relevant documents, if one has been more downloaded for inst...

  1. ITP Mining: Energy and Environmental Profile of the U.S. Mining...

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

    with which human civilizations have been built. The United States Department of Energy and the National Mining Association are working in partnership to implement the Mining...

  2. Survey of nine surface mines in North America. [Nine different mines in USA and Canada

    SciTech Connect (OSTI)

    Hayes, L.G.; Brackett, R.D.; Floyd, F.D.

    1981-01-01T23:59:59.000Z

    This report presents the information gathered by three mining engineers in a 1980 survey of nine surface mines in the United States and Canada. The mines visited included seven coal mines, one copper mine, and one tar sands mine selected as representative of present state of the art in open pit, strip, and terrace pit mining. The purpose of the survey was to investigate mining methods, equipment requirements, operating costs, reclamation procedures and costs, and other aspects of current surface mining practices in order to acquire basic data for a study comparing conventional and terrace pit mining methods, particularly in deeper overburdens. The survey was conducted as part of a project under DOE Contract No. DE-AC01-79ET10023 titled The Development of Optimal Terrace Pit Coal Mining Systems.

  3. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01T23:59:59.000Z

    SHAFT SINKING IN-MINE DRILLiNG NEW MINE - 1500 M SURFACEORILUNG SHAFT SINKiNG FACIUTY DEVELOPMENT IN-MINE DRILLINGSURFACE DRILLING FACIUTY DEVELOPMENT IN-MINE DRILLING ~~NGM!

  4. DOE SBIR Phase II Final Report: Distributed Relevance Ranking in Heterogeneous Document Collections

    SciTech Connect (OSTI)

    Abe Lederman

    2007-01-08T23:59:59.000Z

    This report contains the comprehensive summary of the work performed on the SBIR Phase II project (“Distributed Relevance Ranking in Heterogeneous Document Collections”) at Deep Web Technologies (http://www.deepwebtech.com). We have successfully completed all of the tasks defined in our SBIR Proposal work plan (See Table 1 - Phase II Tasks Status). The project was completed on schedule and we have successfully deployed an initial production release of the software architecture at DOE-OSTI for the Science.gov Alliance's search portal (http://www.science.gov). We have implemented a set of grid services that supports the extraction, filtering, aggregation, and presentation of search results from numerous heterogeneous document collections. Illustration 3 depicts the services required to perform QuickRank™ filtering of content as defined in our architecture documentation. Functionality that has been implemented is indicated by the services highlighted in green. We have successfully tested our implementation in a multi-node grid deployment both within the Deep Web Technologies offices, and in a heterogeneous geographically distributed grid environment. We have performed a series of load tests in which we successfully simulated 100 concurrent users submitting search requests to the system. This testing was performed on deployments of one, two, and three node grids with services distributed in a number of different configurations. The preliminary results from these tests indicate that our architecture will scale well across multi-node grid deployments, but more work will be needed, beyond the scope of this project, to perform testing and experimentation to determine scalability and resiliency requirements. We are pleased to report that a production quality version (1.4) of the science.gov Alliance's search portal based on our grid architecture was released in June of 2006. This demonstration portal is currently available at http://science.gov/search30 . The portal allows the user to select from a number of collections grouped by category and enter a query expression (See Illustration 1 - Science.gov 3.0 Search Page). After the user clicks “search” a results page is displayed that provides a list of results from the selected collections ordered by relevance based on the query expression the user provided. Our grid based solution to deep web search and document ranking has already gained attention within DOE, other Government Agencies and a fortune 50 company. We are committed to the continued development of grid based solutions to large scale data access, filtering, and presentation problems within the domain of Information Retrieval and the more general categories of content management, data mining and data analysis.

  5. Click Efficiency: A Unified Optimal Ranking for Online Ads and Documents

    E-Print Network [OSTI]

    Balakrishnan, Raju

    2011-01-01T23:59:59.000Z

    Traditionally the probabilistic ranking principle is used to rank the search results while the ranking based on expected profits is used for paid placement of ads. These rankings try to maximize the expected utilities based on the user click models. Recent empirical analysis on search engine logs suggests a unified click models for both ranked ads and search results. The segregated view of document and ad rankings does not consider this commonality. Further, the used models consider parameters of (i) probability of the user abandoning browsing results (ii) perceived relevance of result snippets. But how to consider them for improved ranking is unknown currently. In this paper, we propose a generalized ranking function---namely "Click Efficiency (CE)"---for documents and ads based on empirically proven user click models. The ranking considers parameters (i) and (ii) above, optimal and has the same time complexity as sorting. To exploit its generality, we examine the reduced forms of CE ranking under different ...

  6. Westinghouse Earns Mine Safety Award for 16th Consecutive Year

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOETHEWeekly ReportsWenjunTRU SolutionsEarns

  7. DEVELOPMENT AND DEMONSTRATION OF A PILOT SCALE FACILITY FOR FABRICATION AND MARKETING OF LIGHTWEIGHT-COAL COMBUSTION BYPRODUCTS-BASED SUPPORTS AND MINE VENTILATION BLOCKS FOR UNDERGROUND MINES

    SciTech Connect (OSTI)

    Yoginder P. Chugh

    2002-10-01T23:59:59.000Z

    The overall goal of this program was to develop a pilot scale facility, and design, fabricate, and market CCBs-based lightweight blocks for mine ventilation control devices, and engineered crib elements and posts for use as artificial supports in underground mines to replace similar wooden elements. This specific project was undertaken to (1) design a pilot scale facility to develop and demonstrate commercial production techniques, and (2) provide technical and marketing support to Fly Lite, Inc to operate the pilot scale facility. Fly Lite, Inc is a joint venture company of the three industrial cooperators who were involved in research into the development of CCBs-based structural materials. The Fly-Lite pilot scale facility is located in McLeansboro, Illinois. Lightweight blocks for use in ventilation stoppings in underground mines have been successfully produced and marketed by the pilot-scale facility. To date, over 16,000 lightweight blocks (30-40 pcf) have been sold to the mining industry. Additionally, a smaller width (6-inch) full-density block was developed in August-September 2002 at the request of a mining company. An application has been submitted to Mine Safety and Health Administration for the developed block approval for use in mines. Commercialization of cribs and posts has also been accomplished. Two generations of cribs have been developed and demonstrated in the field. MSHA designated them suitable for use in mines. To date, over 2,000 crib elements have been sold to mines in Illinois. Two generations of posts were also demonstrated in the field and designated as suitable for use in mines by MSHA. Negotiations are currently underway with a mine in Illinois to market about 1,000 posts per year based on a field demonstration in their mine. It is estimated that 4-5 million tons CCBs (F-fly ash or FBC fly ash) may be utilized if the developed products can be commercially implemented in U.S. coal and non-coal mines.

  8. Mining Unexpected SequentialMining Unexpected SequentialMining Unexpected SequentialMining Unexpected Sequential Patterns and Implication RulesPatterns and Implication RulesPatterns and Implication RulesPatterns and Implication Rules

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Mining Unexpected SequentialMining Unexpected SequentialMining Unexpected SequentialMining RulesPatterns and Implication Rules Dong (Haoyuan) Li LGI2P, École des Mines d'Alès, France Anne Laurent ABSTRACT As common criteria in data mining methods, the frequency-based interestingness measures provide

  9. Men open with No.8 ranked Trinity Western PRINCE GEORGE, BC -The men's soccer team will open at home with CIS No.8 ranked team, the Trinity Western

    E-Print Network [OSTI]

    Northern British Columbia, University of

    Men open with No.8 ranked Trinity Western PRINCE GEORGE, BC - The men's soccer team will open at home with CIS No.8 ranked team, the Trinity Western Spartans. Kickoff is set for 2:15 p.m. Sept. 22 into their first CIS home opener taking on the No.8 CIS ranked team, the Trinity Western Spartans. The stakes

  10. AS A MINING ENGINEER Mining provides the raw materials and energy resources needed to sustain modern civilization. Mining Engineers

    E-Print Network [OSTI]

    Simons, Jack

    AS A MINING ENGINEER Mining provides the raw materials and energy resources needed to sustain modern civilization. Mining Engineers are trained to determine the safest most sustainable way to remove for energy and mineral resources. The average American consumes approximately 45,000 pounds of minerals

  11. ECML TextMining Workshop, Chemnitz, 1998 Evaluation of four clustering methods used in text mining

    E-Print Network [OSTI]

    Turenne, Nicolas

    ECML TextMining Workshop, Chemnitz, 1998 Evaluation of four clustering methods used in text mining according the real-world. Keywords: conceptual clustering ; data mining ; knowledge structuration an acute need in concept extraction and text mining. The paper presents an evaluation of four clustering

  12. Generic Pattern Mining via Data Mining Template Library Nilanjana De, Feng Gao, Paolo Palmerini

    E-Print Network [OSTI]

    Bystroff, Chris

    Generic Pattern Mining via Data Mining Template Library Nilanjana De, Feng Gao, Paolo Palmerini Department, Rensselaer Polytechnic Institute, Troy NY 12180 Abstract Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and use- ful patterns in massive, complex datasets. In this paper

  13. Mercury Contamination from Hydraulic Placer-Gold Mining in the Dutch Flat Mining

    E-Print Network [OSTI]

    179 Mercury Contamination from Hydraulic Placer-Gold Mining in the Dutch Flat Mining District at historic gold mining sites represents a potential risk to human health and the environment. Elemental mercury (quicksilver) was used extensively for the recovery of gold at both placer and hardrock mines

  14. Data Mining Research: Opportunities and Challenges Data Mining Research: Opportunities and Challenges

    E-Print Network [OSTI]

    Grossman, Robert

    Data Mining Research: Opportunities and Challenges 1 Data Mining Research: Opportunities and Challenges A Report of three NSF Workshops on Mining Large, Massive, and Distributed Data* Robert Grossman, 1997 and February, 1998 to discuss the current state of the art of data mining and data intensive

  15. LLM Oil, Gas and Mining Law Module Information: Oil, Gas & Mining Environmental Law I and

    E-Print Network [OSTI]

    Evans, Paul

    LLM Oil, Gas and Mining Law Module Information: Oil, Gas & Mining Environmental Law I and Oil, Gas of the area of Oil, Gas &, Mining Environmental Law; 2. communicate complex legal concepts that apply within the area of Oil, Gas & Mining & Environmental Law to a high level of competence; and 3. deploy a highly

  16. "MINE YOUR OWN BUSINESS": USING PROCESS MINING TO TURN BIG DATA INTO REAL VALUE

    E-Print Network [OSTI]

    van der Aalst, Wil

    "MINE YOUR OWN BUSINESS": USING PROCESS MINING TO TURN BIG DATA INTO REAL VALUE Van der Aalst, Wil is to turn event data into valuable insights. Only process mining techniques directly relate event data-oriented analysis techniques (e.g., data mining and machines learning) typically focus on simple classification

  17. NU-MineBench: Understanding the Performance and Scalability Characteristics of Data Mining Algorithms

    E-Print Network [OSTI]

    Choudhary, Alok

    NU-MineBench: Understanding the Performance and Scalability Characteristics of Data Mining Clara. CA - 95052 pradeep.dubey@intel.com Abstract Data mining has become one of the most essential and distributed systems have provided abundant venues for improving the performance of data mining algorithms

  18. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2005-10-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to perform reservoir simulation and economic sensitivity studies to (1) determine the effects of injection gas composition, (2) determine the effects of injection rate, and (3) determine the effects of coal dewatering prior to CO{sub 2} injection on CO{sub 2} sequestration in the Lower Calvert Bluff Formation (LCB) of the Wilcox Group coals in east-central Texas. To predict CO{sub 2} sequestration and ECBM in LCB coal beds for these three sensitivity studies, we constructed a 5-spot pattern reservoir simulation model and selected reservoir parameters representative of a typical depth, approximately 6,200-ft, of potential LCB coalbed reservoirs in the focus area of East-Central Texas. Simulation results of flue gas injection (13% CO{sub 2} - 87% N{sub 2}) in an 80-acre 5-spot pattern (40-ac well spacing) indicate that LCB coals with average net thickness of 20 ft can store a median value of 0.46 Bcf of CO{sub 2} at depths of 6,200 ft, with a median ECBM recovery of 0.94 Bcf and median CO{sub 2} breakthrough time of 4,270 days (11.7 years). Simulation of 100% CO{sub 2} injection in an 80-acre 5-spot pattern indicated that these same coals with average net thickness of 20 ft can store a median value of 1.75 Bcf of CO{sub 2} at depths of 6,200 ft with a median ECBM recovery of 0.67 Bcf and median CO{sub 2} breakthrough time of 1,650 days (4.5 years). Breakthrough was defined as the point when CO{sub 2} comprised 5% of the production stream for all cases. The injection rate sensitivity study for pure CO{sub 2} injection in an 80-acre 5-spot pattern at 6,200-ft depth shows that total volumes of CO{sub 2} sequestered and methane produced do not have significant sensitivity to injection rate. The main difference is in timing, with longer breakthrough times resulting as injection rate decreases. Breakthrough times for 80-acre patterns (40-acre well spacing) ranged from 670 days (1.8 years) to 7,240 days (19.8 years) for the reservoir parameters and well operating conditions investigated. The dewatering sensitivity study for pure CO{sub 2} injection in an 80-acre 5-spot pattern at 6,200-ft depth shows that total volumes of CO{sub 2} sequestered and methane produced do not have significant sensitivity to dewatering prior to CO{sub 2} injection. As time to start CO{sub 2} injection increases, the time to reach breakthrough also increases. Breakthrough times for 80-acre patterns (40-acre well spacing) ranged from 850 days (2.3 years) to 5,380 days (14.7 years) for the reservoir parameters and well injection/production schedules investigated. Preliminary economic modeling results using a gas price of $7-$8 per Mscf and CO{sub 2} credits of $1.33 per ton CO{sub 2} indicate that injection of flue gas (87% N{sub 2}-13% CO{sub 2}) and 50% N{sub 2}-50% CO{sub 2} are more economically viable than injecting 100% CO{sub 2}. Results also indicate that injection rate and duration and timing of dewatering prior to CO{sub 2} injection have no significant effect on the economic viability of the project(s).

  19. Data Analysis and Mining at NERSC

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

    Mining Data Analysis and Mining microCTdani.jpg Data analysis techniques include post-processing (e.g., data statistics) of experimental datasets andor simulation output, as well...

  20. Oil, Gas, and Mining Leases (Nebraska)

    Broader source: Energy.gov [DOE]

    This section contains rules on oil, gas, and mining leases, and grants authority to the State of Nebraska and local governments to issue leases for oil and gas mining and exploration on their lands.

  1. South Carolina Mining Act (South Carolina)

    Broader source: Energy.gov [DOE]

    The South Carolina Mining Act seeks to offer the greatest practical degree of protection and restoration to usefulness, productivity, and scenic values of all SC lands and waters involved in mining...

  2. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/1/15: Written exam, seminar proposal discussion · 2013/2/12: Data mining seminar

  3. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si on Weka 3: Descriptive data mining ­ Discussion about seminars and exam · 2013/12/16: Written exam

  4. Mining Bug Databases for Unidentified Software Vulnerabilities

    SciTech Connect (OSTI)

    Dumidu Wijayasekara; Milos Manic; Jason Wright; Miles McQueen

    2012-06-01T23:59:59.000Z

    Identifying software vulnerabilities is becoming more important as critical and sensitive systems increasingly rely on complex software systems. It has been suggested in previous work that some bugs are only identified as vulnerabilities long after the bug has been made public. These vulnerabilities are known as hidden impact vulnerabilities. This paper discusses the feasibility and necessity to mine common publicly available bug databases for vulnerabilities that are yet to be identified. We present bug database analysis of two well known and frequently used software packages, namely Linux kernel and MySQL. It is shown that for both Linux and MySQL, a significant portion of vulnerabilities that were discovered for the time period from January 2006 to April 2011 were hidden impact vulnerabilities. It is also shown that the percentage of hidden impact vulnerabilities has increased in the last two years, for both software packages. We then propose an improved hidden impact vulnerability identification methodology based on text mining bug databases, and conclude by discussing a few potential problems faced by such a classifier.

  5. Using Lotkaian Informetrics for Ranking in Digital Libraries

    E-Print Network [OSTI]

    Schaer, Philipp

    2011-01-01T23:59:59.000Z

    The purpose of this paper is to propose the use of models, theories and laws in bibliometrics and scientometrics to enhance information retrieval processes, especially ranking. A common pattern in many man-made data sets is Lotka's Law which follows the well-known power-law distributions. These informetric distributions can be used to give an alternative order to large and scattered result sets and can be applied as a new ranking mechanism. The polyrepresentation of information in Digital Library systems is used to enhance the retrieval quality, to overcome the drawbacks of the typical term-based ranking approaches and to enable users to explore retrieved document sets from a different perspective.

  6. Accounting for the Uncertainty in the Evaluation of Percentile Ranks

    E-Print Network [OSTI]

    Leydesdorff, Loet

    2012-01-01T23:59:59.000Z

    In a recent paper entitled "Inconsistencies of Recently Proposed Citation Impact Indicators and how to Avoid Them," Schreiber (2012, at arXiv:1202.3861) proposed (i) a method to assess tied ranks consistently and (ii) fractional attribution to percentile ranks in the case of relatively small samples (e.g., for n percentile rank classes used in the Science and Engineering Indicators of the U.S. National Science Board, and thus missed, in my opinion, the point that fractional attribution at the level of hundred percentiles-or equivalently quantiles as the continuous random variable-is only a linear, and therefore much less complex problem. Given the quantile-values, the non-linear a...

  7. Waterfowl use of sediment ponds on an east Texas coal mine

    E-Print Network [OSTI]

    Reynolds, Larry A

    1989-01-01T23:59:59.000Z

    appreciation. Lastly, I thank my wife, Diana, who makes my life a continual adventure. She provided the love, encouragement, and confidence I often needed during my graduate work. vii TABLE OF CONTENTS Page ABSTRACT. ACKNOWLEDGEMENT. TABLE OF CONTENTS... Brown Mine by waterfowl use in Year 1. 2 Measurements of vegetative cover (m and k), shallow water, light transmission (cm), slope (k), and vegetative richness for 15 ponds in high, medium, and low waterfowl use classes at Big Brown Mine. 41 42...

  8. A Survey on Mining Software Survey Presentation

    E-Print Network [OSTI]

    Bae, Doo-Hwan

    ­ Effort Estimation ­ Mining Aspects · Papers at a glance · Related Workshop · Available Resources of mining software archives to support, ­ the maintenance of software systems, ­ improve software designA Survey on Mining Software Archives Survey Presentation Jin Ung, Oh ­ 2007.07.11 #12;Contents

  9. Institut Mines-Tlcom EPOC : Energy Proportional

    E-Print Network [OSTI]

    Lefèvre, Laurent

    ? ? Renewable energy #12;Institut Mines-Télécom29/11/13 Green@Days Lille 28-29 Novembre 2013 Problem 5 time Workload Renewable energy ? ? regular electric #12;Institut Mines-Télécom29/11/13 Green@Days Lille 28Institut Mines-Télécom EPOC : Energy Proportional and Opportunistic Computing system 1 Labex Comin

  10. ICPSR Summer Program, 2014 Data Mining

    E-Print Network [OSTI]

    Stine, Robert A.

    ICPSR Summer Program, 2014 Data Mining Tools for Exploring Big Data Robert Stine Department of Statistics Wharton School, University of Pennsylvania www-stat.wharton.upenn.edu/~stine Modern data mining a contribution. Rather than build a model that relates one or two experimental results to a response, data mining

  11. Proof Mining in Practice Philipp Gerhardy

    E-Print Network [OSTI]

    Gerhardy, Philipp

    Proof Mining in Practice Philipp Gerhardy April 14, 2008 Abstract In this paper, we present some aspects of a recent application of proof mining by J.Avigad, H.Towsner and the author. In this case study for the ergodic averages. Proof mining generally falls into two main categories: Establishing general metatheorems

  12. of Mining & www.mge.arizona.edu

    E-Print Network [OSTI]

    Holliday, Vance T.

    Department of Mining & Geological www.mge.arizona.edu EXPAND Tel: 520.621.6063 Fax: 520.621.8330 mgedept@email.arizona.edu YOUR CAREER ONLINE GRADUATE CERTIFICATE PROGRAM 15 UNITS MINE PRODUCTION & TECHNOLOGY #12;Department of Mining & Geological Engineering Contact: Sean Dessureault dessure

  13. Database Transposition for Constrained (Closed) Pattern Mining

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Database Transposition for Constrained (Closed) Pattern Mining Baptiste Jeudy1 and Fran¸cois Rioult-Normandie, France. francois.rioult@info.unicaen.fr Abstract. Recently, different works proposed a new way to mine). In this case, mining the "transposed" database runs through a smaller search space, and the Ga- lois connection

  14. Du Data Mining l'Apprentissage Statistique

    E-Print Network [OSTI]

    Besse, Philippe

    Du Data Mining à l'Apprentissage Statistique Philippe Besse Contenu : 1. Introduction 2. Risque et graphiques des scénarios Formation L'Oréal : 28 / 03 / 2014 #12;Introduction au data mining Apprentissage Mining Introduction Philippe Besse & B´eatrice Laurent INSA de Toulouse Institut de Math´ematiques INSA

  15. Data Mining for Scientific & Engineering Applications

    E-Print Network [OSTI]

    Kumar, Vipin

    Data Mining for Scientific & Engineering Applications Robert Grossman, Laboratory for Advanced Kumar, Army High Performance Research Center, University of Minnesota #12;Chapter 10 ­ Data Mining. Grossman, C. Kamath, V. Kumar Data Mining for Scientific and Engineering Applications Ch 10/ 3 Goals

  16. ICPSR Summer Program, 2013 Data Mining

    E-Print Network [OSTI]

    Stine, Robert A.

    ICPSR Summer Program, 2013 Data Mining Tools for Exploring Big Data Robert Stine Department of Statistics Wharton School, University of Pennsylvania www-stat.wharton.upenn.edu/~stine Modern data mining a contribution. Rather than build a model that relates one or two experimental results to a response, data mining

  17. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: May 11 (Geophysics) On Original Copies Dr. Terence K. Young Professor and Head Department of Geophysics Approved

  18. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: May 10 (Geophysics). Golden, Colorado Date May 15, 2006 Signed: on original copy Jeongmin Lee Signed: on original

  19. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: September fulfillment of the requirements for the degree of Master of Science (Geophysics). Golden, Colorado Date

  20. Mining Binary Expressions: Applications and Toon Calders

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    ,pareda}@uia.ua.ac.be Technical report TR0008, June 2000 Abstract In data mining, searching for frequent patterns is a common exponentially large, we use data mining techniques to avoid expo- nential execution times. We present results of the number of partial orders 22 B Example run of the algorithm 24 2 #12;1 Introduction In data mining

  1. Massively Parallel Data Mining Using Reconfigurable Hardware

    E-Print Network [OSTI]

    Chamberlain, Roger

    ]. The basic idea is to decompose the data mining oper- ation into two components. The low-level componentMassively Parallel Data Mining Using Reconfigurable Hardware: Approximate String Matching Qiong. Chamberlain, Ronald S. Indeck, Benjamin West, and Jason White, "Massively Parallel Data Mining Using

  2. ZART: A Multifunctional Itemset Mining Algorithm

    E-Print Network [OSTI]

    Boyer, Edmond

    independent, multi-purposed data mining platform, incorporating a rich collection of data mining algorithms, allowing a number of auxiliary operations for preparing and filtering data, and, for interpreting in data mining today. Generating strong association rules from frequent itemsets often results in a huge

  3. PageRank model of opinion formation on Ulam networks

    E-Print Network [OSTI]

    L. Chakhmakhchyan; D. Shepelyansky

    2013-11-03T23:59:59.000Z

    We consider a PageRank model of opinion formation on Ulam networks, generated by the intermittency map and the typical Chirikov map. The Ulam networks generated by these maps have certain similarities with such scale-free networks as the World Wide Web (WWW), showing an algebraic decay of the PageRank probability. We find that the opinion formation process on Ulam networks have certain similarities but also distinct features comparing to the WWW. We attribute these distinctions to internal differences in network structure of the Ulam and WWW networks. We also analyze the process of opinion formation in the frame of generalized Sznajd model which protects opinion of small communities.

  4. Enhancing Invenio Digital Library With An External Relevance Ranking Engine

    E-Print Network [OSTI]

    Glauner, Patrick Oliver

    Invenio is a comprehensive web-based free digital library software suite originally developed at CERN. In order to improve its information retrieval and word similarity ranking capabilities, the goal of this thesis is to enhance Invenio by bridging it with modern external information retrieval systems. In the first part a comparison of various information retrieval systems such as Solr and Xapian is made. In the second part a system-independent bridge for word similarity ranking is designed and implemented. Subsequently, Solr and Xapian are integrated in Invenio via adapters to the bridge. In the third part scalability tests are performed. Finally, a future outlook is briefly discussed.

  5. Rank-ordered Multifractal Spectrum for Intermittent Fluctuations

    E-Print Network [OSTI]

    Tom Chang; Cheng-chin Wu

    2007-12-27T23:59:59.000Z

    We describe a new method that is both physically explicable and quantitatively accurate in describing the multifractal characteristics of intermittent events based on groupings of rank-ordered fluctuations. The generic nature of such rank-ordered spectrum leads it to a natural connection with the concept of one-parameter scaling for monofractals. We demonstrate this technique using results obtained from a 2D MHD simulation. The calculated spectrum suggests a crossover from the near Gaussian characteristics of small amplitude fluctuations to the extreme intermittent state of large rare events.

  6. Modeled atmospheric radon concentrations from uranium mines

    SciTech Connect (OSTI)

    Droppo, J.G.

    1985-04-01T23:59:59.000Z

    Uranium mining and milling operations result in the release of radon from numerous sources of various types and strengths. The US Environmental Protection Agency (EPA) under the Clean Air Act, is assessing the health impact of air emissions of radon from underground uranium mines. In this case, the radon emissions may impact workers and residents in the mine vicinity. To aid in this assessment, the EPA needs to know how mine releases can affect the radon concentrations at populated locations. To obtain this type of information, Pacific Northwest Laboratory used the radon emissions, release characteristics and local meterological conditions for a number of mines to model incremental radon concentrations. Long-term, average, incremental radon concentrations were computed based on the best available information on release rates, plume rise parameters, number and locations of vents, and local dispersion climatology. Calculations are made for a model mine, individual mines, and multiple mines. Our approach was to start with a general case and then consider specific cases for comparison. A model underground uranium mine was used to provide definition of the order of magnitude of typical impacts. Then computations were made for specific mines using the best mine-specific information available for each mine. These case study results are expressed as predicted incremental radon concentration contours plotted on maps with local population data from a previous study. Finally, the effect of possible overlap of radon releases from nearby mines was studied by calculating cumulative radon concentrations for multiple mines in a region with many mines. The dispersion model, modeling assumptions, data sources, computational procedures, and results are documented in this report. 7 refs., 27 figs., 18 tabs.

  7. Speedy backfilling for old mines

    SciTech Connect (OSTI)

    Dyni, R.C. (Bureau of Mines, Philadelphia, PA (United States)); Burnett, M. (Burnett Associates, Inc., Farmingham, MA (United States))

    1993-09-01T23:59:59.000Z

    This article describes pneumatic equipment that can help fill the underground voids left by abandoned coal mines that threaten nearly half a million acres of densely populated urban areas in the US alone. In 1910, when coal was king in northeastern Pennsylvania, engineers built a 600 ft cut-and-cover tunnel to transport coal from a mine entrance to a rail siding in the town of Vandling. In December 1992, engineers filled it up. The tunnel, known as the Hillside Coal and Iron Slope, had been well designed and constructed. Where it crossed under a main road, the roof was reinforced by three concrete columns--protection against loads from trolley cars whose rails shared the road. In October 1991, a hole opened up in one of the town's roads, and a subsidence complaint brought investigators from the US Department of the Interior's Office of Surface Mining (OSM) in Wilkes Barre, Pa. The tunnel, which passes directly underneath several of Vandling's residential streets as well as State Highway 171, was declared a potential hazard. The OSM engineers decided that complete backfilling was necessary to support the tunnel roof. After remediating the original subsidence hole, they contacted the US Bureau of Mines and offered the tunnel as a field demonstration site for two new pneumatic backfilling devices. The demonstration, a success, completely filled the tunnel in only 23 working days.

  8. Robot to the Mine Rescue

    Broader source: Energy.gov [DOE]

    To increase the speed of rescue efforts, scientists and engineers at the Energy Department’s Sandia National Laboratories recently developed a new robot, called the Gemini-Scout Mine Rescue Robot, that quickly finds dangers and provides relief to trapped miners.

  9. Corner-cutting mining assembly

    DOE Patents [OSTI]

    Bradley, J.A.

    1981-07-01T23:59:59.000Z

    This invention resulted from a contract with the United States Department of Energy and relates to a mining tool. More particularly, the invention relates to an assembly capable of drilling a hole having a square cross-sectional shape with radiused corners. In mining operations in which conventional auger-type drills are used to form a series of parallel, cylindrical holes in a coal seam, a large amount of coal remains in place in the seam because the shape of the holes leaves thick webs between the holes. A higher percentage of coal can be mined from a seam by a means capable of drilling holes having a substantially square cross section. It is an object of this invention to provide an improved mining apparatus by means of which the amount of coal recovered from a seam deposit can be increased. Another object of the invention is to provide a drilling assembly which cuts corners in a hole having a circular cross section. These objects and other advantages are attained by a preferred embodiment of the invention.

  10. Corner-cutting mining assembly

    DOE Patents [OSTI]

    Bradley, John A. (San Antonio, TX)

    1983-01-01T23:59:59.000Z

    A mining assembly includes a primary rotary cutter mounted on one end of a support shaft and four secondary rotary cutters carried on the same support shaft and positioned behind the primary cutters for cutting corners in the hole cut by the latter.

  11. Data Mining: Concepts and Techniques

    E-Print Network [OSTI]

    Geldenhuys, Jaco

    1 Data Mining: Concepts and Techniques (3rd ed.) -- Chapter 3 -- Jiawei Han, Micheline Kamber. All rights reserved. #12;2013/08/12 2 #12;33 Chapter 3: Data Preprocessing n Data Preprocessing: An Overview n Data Quality n Major Tasks in Data Preprocessing n Data Cleaning n Data Integration n Data

  12. Semi autonomous mine detection system

    SciTech Connect (OSTI)

    Douglas Few; Roelof Versteeg; Herman Herman

    2010-04-01T23:59:59.000Z

    CMMAD is a risk reduction effort for the AMDS program. As part of CMMAD, multiple instances of semi autonomous robotic mine detection systems were created. Each instance consists of a robotic vehicle equipped with sensors required for navigation and marking, a countermine sensors and a number of integrated software packages which provide for real time processing of the countermine sensor data as well as integrated control of the robotic vehicle, the sensor actuator and the sensor. These systems were used to investigate critical interest functions (CIF) related to countermine robotic systems. To address the autonomy CIF, the INL developed RIK was extended to allow for interaction with a mine sensor processing code (MSPC). In limited field testing this system performed well in detecting, marking and avoiding both AT and AP mines. Based on the results of the CMMAD investigation we conclude that autonomous robotic mine detection is feasible. In addition, CMMAD contributed critical technical advances with regard to sensing, data processing and sensor manipulation, which will advance the performance of future fieldable systems. As a result, no substantial technical barriers exist which preclude – from an autonomous robotic perspective – the rapid development and deployment of fieldable systems.

  13. Mining Scientific Data Naren Ramakrishnan

    E-Print Network [OSTI]

    Southern California, University of

    -scale data repositories. Advances in networking technology have en- abled communication of large volumesMining Scientific Data Naren Ramakrishnan Department of Computer Science Virginia Tech, VA 24061 rapid advances in high performance computing and tools for data acquisition in a variety of scientific

  14. Image Mining: Detecting Deforestation Patterns

    E-Print Network [OSTI]

    Camara, Gilberto

    54 Chapter IV Image Mining: Detecting Deforestation Patterns Through Satellites Marcelino Pereira to analyze satellite images and extract knowledge from this kind of data. The Amazonia deforestation problem of change on deforested areas of Amazonia. The purpose of the authors is to present relevant technologies

  15. Dragon Year

    E-Print Network [OSTI]

    Hacker, Randi

    2012-01-11T23:59:59.000Z

    Broadcast Transcript: Can you believe it? It's New Year again. It seems like only yesterday we were celebrating the advent of the year of the Rabbit and now, here it is, the year of the Dragon. January 22nd is New Year's ...

  16. Can we do without ranks in Burrows Wheeler transform compression?

    E-Print Network [OSTI]

    Wirth, Tony

    Wirth ¡ and Alistair Moffat ¢ Abstract: Compressors based on the Burrows Wheeler transform (BWT) convert of inefficiency. Instead of relying on symbol ranking, we examine the problem of directly encoding the symbols-based compressors. ¤ This work was supported by the Australian Research Council.¥ Department of Computer Science

  17. The blowup formula for higher rank Donaldson invariants

    E-Print Network [OSTI]

    Culler, Lucas Howard

    2014-01-01T23:59:59.000Z

    In this thesis, I study the relationship between the higher rank Donaldson invariants of a smooth 4-manifold X and the invariants of its blowup X#CP2 . This relationship can be expressed in terms of a formal power series ...

  18. Professor (Open Rank) Department of Nuclear, Plasma, and Radiological Engineering

    E-Print Network [OSTI]

    Ma, Yi

    Professor (Open Rank) Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign The Department of Nuclear, Plasma, and Radiological Engineering-qualified candidates with background in areas related to reactor power engineering and other nuclear applications

  19. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, Arthur J. (Colstrip, MT); Richards, Jeff M. (Colstrip, MT)

    1999-01-01T23:59:59.000Z

    A process for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process.

  20. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, Arthur J. (Colstrip, MT); Richards, Jeff M. (Colstrip, MT)

    2000-01-01T23:59:59.000Z

    A process for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process.

  1. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, A.J.; Richards, J.M.

    1999-01-26T23:59:59.000Z

    A process is described for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process. 3 figs.

  2. SampleRank: Training Factor Graphs with Atomic Gradients

    E-Print Network [OSTI]

    McCallum, Andrew

    a user-provided loss function to distribute stochastic gradients across an MCMC chain. As a result, parameter updates can be computed between arbitrary MCMC states. Sam- pleRank is not only faster than CD- expensive gradients between the ground-truth and samples along an MCMC chain yielding a stochastic

  3. Lignites and Low Rank Coals Conference: Proceedings 2001

    SciTech Connect (OSTI)

    None

    2002-02-01T23:59:59.000Z

    EPRI and the Technische Vereinigung des Grosskraftswerkbetreiber (Technical Association of Large Power Plant Operators) (VGB) jointly held a Conference on Lignites and Low Rank Coals in Wiesbaden, Germany, May 16-18, 2001. These Proceedings include the plenary papers, technical session papers, and rapporteurs' summaries from the conference.

  4. Reduced-rank Vector Generalized Linear Models Thomas W. Yee,

    E-Print Network [OSTI]

    Hastie, Trevor

    . Keywords: Canonical correspondence analysis; Linear discriminant analysis; Neural networks; Non- parametric the reduced-rank regression idea has been applied to non-Gaussian errors is the MLM. This was proposed such as neural networks, projection pursuit regression, linear discriminant analysis, canonical correspondence

  5. High School Math Contest Rankings November 16, 2013

    E-Print Network [OSTI]

    Boas, Harold P.

    2013 High School Math Contest Rankings November 16, 2013 Sweepstakes Sweepstakes Points School School of Advancement Isil Nal fourth 50 Quail Valley Middle School Isil Nal Fifth 49 Whatley Home School Willaim Whatley Sixth 43 Westwood High School Zheng Chen seventh 28 LASA Sarah Harrelson Eighth 27

  6. Multiple Faculty Positions, All Ranks Materials Science and Engineering

    E-Print Network [OSTI]

    Multiple Faculty Positions, All Ranks Materials Science and Engineering Texas A&M University The interdisciplinary Department of Materials Science and Engineering at Texas A&M University invites applications. Applicants must have an earned doctorate in materials science and engineering or an appropriate, closely

  7. Scalable K-Means by Ranked Retrieval Andrei Broder

    E-Print Network [OSTI]

    Cortes, Corinna

    Scalable K-Means by Ranked Retrieval Andrei Broder Google 1600 Amphitheater Parkway Mountain View@google.com Srihari Venkatesan xAd 440 North Wolfe Road Sunnyvale, CA 94085 ABSTRACT The k-means clustering algorithm, a prohibitive cost when the number of clusters is large. In this paper we show how to reduce the cost of the k-means

  8. RANKS OF ELLIPTIC CURVES WITH PRESCRIBED TORSION OVER NUMBER FIELDS

    E-Print Network [OSTI]

    Dujella, Andrej

    RANKS OF ELLIPTIC CURVES WITH PRESCRIBED TORSION OVER NUMBER FIELDS JOHAN BOSMAN, PETER BRUIN of all elliptic curves over quadratic fields with torsion subgroup T is empty, or it contains curves number fields. More explicitly, we will be interested in the following question: given a torsion group

  9. AVERAGE RANKS OF ELLIPTIC CURVES: TENSION BETWEEN DATA AND CONJECTURE

    E-Print Network [OSTI]

    Stein, William

    curves of conductor X} converge as X tends to infinity, and if so, what is the limit P = lim X PAVERAGE RANKS OF ELLIPTIC CURVES: TENSION BETWEEN DATA AND CONJECTURE BAUR BEKTEMIROV, BARRY MAZUR, and · to list them in order of increasing conductor, banking on the theorem that tells us that there are only

  10. Robust video denoising using low rank matrix completion , Chaoqiang Liu

    E-Print Network [OSTI]

    Shen, Zuowei

    Robust video denoising using low rank matrix completion Hui Ji , Chaoqiang Liu , Zuowei Shen video denoising algorithms assume a sin- gle statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this pa- per, we present a new patch-based video

  11. Bureau of mines cost estimating system handbook (in two parts). 1. Surface and underground mining

    SciTech Connect (OSTI)

    Not Available

    1987-01-01T23:59:59.000Z

    The handbook provides a convenient costing procedure based on the summation of the costs for unit processes required in any particular mining or mineral processing operation. The costing handbook consists of a series of costing sections, each corresponding to a specific mining unit process. Contained within each section is the methodology to estimate either the capital or operating cost for that unit process. The unit process sections may be used to generate, in January 1984 dollars, costs through the use of either costing curves or formulae representing the prevailing technology. Coverage for surface mining includes dredging, quarrying, strip mining, and open pit mining. The underground mining includes individual development sections for drifting, raising, shaft sinking, stope development, various mining methods, underground mine haulage, general plant, and underground mine administrative cost.

  12. Black Thunder Coal Mine and Los Alamos National Laboratory experimental study of seismic energy generated by large scale mine blasting

    SciTech Connect (OSTI)

    Martin, R.L.; Gross, D. [Thunder Basin Coal Co., Wright, WY (United States); Pearson, D.C.; Stump, B.W. [Los Alamos National Lab., NM (United States); Anderson, D.P. [Southern Methodist Univ., Dallas, TX (United States). Dept. of Geological Sciences

    1996-12-31T23:59:59.000Z

    In an attempt to better understand the impact that large mining shots will have on verifying compliance with the international, worldwide, Comprehensive Test Ban Treaty (CTBT, no nuclear explosion tests), a series of seismic and videographic experiments has been conducted during the past two years at the Black Thunder Coal Mine. Personnel from the mine and Los Alamos National Laboratory have cooperated closely to design and perform experiments to produce results with mutual benefit to both organizations. This paper summarizes the activities, highlighting the unique results of each. Topics which were covered in these experiments include: (1) synthesis of seismic, videographic, acoustic, and computer modeling data to improve understanding of shot performance and phenomenology; (2) development of computer generated visualizations of observed blasting techniques; (3) documentation of azimuthal variations in radiation of seismic energy from overburden casting shots; (4) identification of, as yet unexplained, out of sequence, simultaneous detonation in some shots using seismic and videographic techniques; (5) comparison of local (0.1 to 15 kilometer range) and regional (100 to 2,000 kilometer range) seismic measurements leading to determine of the relationship between local and regional seismic amplitude to explosive yield for overburden cast, coal bulking and single fired explosions; and (6) determination of the types of mining shots triggering the prototype International Monitoring System for the CTBT.

  13. NUMERICAL SIMULATIONS OF LONG TERM UNSATURATED FLOW AND ACID MINE DRAINAGE AT WASTE ROCK PILES

    E-Print Network [OSTI]

    Aubertin, Michel

    NUMERICAL SIMULATIONS OF LONG TERM UNSATURATED FLOW AND ACID MINE DRAINAGE AT WASTE ROCK PILES Omar representative) waste rock piles and using observed climatic recharge data. The simulations were used to help are applied each year at the top of the piles, the water content profiles become periodic after a few years

  14. DESign AnD conStruction College of Engineering and Mines

    E-Print Network [OSTI]

    Hartman, Chris

    DESign AnD conStruction MAnAgEMEnt College of Engineering and Mines Department of Civil and continues to engage industry as a partner in the program. Engineers and other construction professionals in engineering and at least two years' construction management experience; or a four-year non-ABET college degree

  15. Uranium mine and mill tailings - Liabilities in the European Union

    SciTech Connect (OSTI)

    Hilden, Wolfgang; Murphy, Simon [European Commission, Maison de l'Europe, L-2920 (Luxembourg); Vrijen, Jan [KARUWEEG BV, Leliendaalsedreef 9, 4333 JZ Middelburg (Netherlands)

    2007-07-01T23:59:59.000Z

    Available in abstract form only. Full text of publication follows: Uranium mining and milling has taken place on large scale in the Member States of the European Union (EU) for some 60 years. Although, compared to mining, milling activities are normally concentrated in fewer locations, this can still result in a relatively large number of disposal sites for the tailings, compared to other radioactive wastes. In addition these sites are also quite large, in terms of both volume and surface area. Coupled with the residual uranium in the tailings together with other radionuclides, heavy metals, chemicals etc this results in an environmental legacy continuing far into the future. Often during production no or little provision has been made for the closure, remediation and future supervision of such sites. In 1996 the European Commission funded an inventory of uranium mining and milling liabilities in nine Central and Eastern European Countries. Additionally, pilot projects were funded to carry out remediation activities at several sites. Almost ten years later the Commission has identified the need to address the situation of these large liabilities in all EU Member States and to assess the progress made in remediation of the sites, especially in view of the closure of almost all mining activities in Europe. The Commission study has identified the current tailings liabilities in Europe, their status, the future plans for these sites and the hazards that continue to be associated with them. It is clear that although considerable progress has been made in recent years, much work remains to be carried out in the areas of remediation, and ensuring the long-term safety of many of the identified objects. The paper presents the main findings of the study, as well as the challenges identified to ensure long-term safety of these wastes. (authors)

  16. Analog Rank-Order Filter using multiple-winners-take-all

    E-Print Network [OSTI]

    Dake, Luthuli Edem

    2000-01-01T23:59:59.000Z

    I present an analog VLSI Rank Order Filter (ROF), capable of ranking a wide array of inputs. Implementation is achieved using two multiple-winners-take-all blocks that compute in parallel. Simulation and experimental results show good speed...

  17. BETO Ranks High in Biofuels Digest's Top 125 in the Advanced...

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

    Ranks High in Biofuels Digest's Top 125 in the Advanced Bioeconomy BETO Ranks High in Biofuels Digest's Top 125 in the Advanced Bioeconomy February 6, 2015 - 4:18pm Addthis...

  18. Relative risk-relative ranking in Defense and Energy Department cleanup programs: Comparison of methods, results, and role in priority setting

    SciTech Connect (OSTI)

    Turkeltaub, R. [Office of the Deputy Under Secretary of Defense, Washington, DC (United States); Treichel, L.C. [Dept. of Energy, Germantown, MD (United States). Office of Environmental Restoration; Rowe, W.D. Jr.; Strohl, A.R. [Booz Allen and Hamilton, McLean, VA (United States)

    1996-12-31T23:59:59.000Z

    This paper demonstrates how the Department of Energy (DOE) enhanced their Environmental Restoration Program by modifying the Department of Defense (DoD) Cleanup Program`s Relative Risk Site Evaluation Primer in order to create their own framework, the Relative Ranking Evaluation Framework for EM-40 Release Sites, Facilities and Buildings. In addition, this paper discusses and compares the two frameworks and presents the results of relative risk/relative ranking site evaluations for both agencies through July 1996. The status of agency efforts to implement their respective frameworks also is discussed along with plans for strengthening these initiatives in the coming year.

  19. Finitely Generated Rank-Ordered Sets as a Model for Type: Dieter Spreen

    E-Print Network [OSTI]

    Spreen, Dieter

    by ESPRIT BRA 7232 1 #12;Rank-preserving functions are such that each approximation of a function value

  20. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY

    SciTech Connect (OSTI)

    Zvi H. Meiksin

    2004-03-01T23:59:59.000Z

    A comprehensive mine-wide, two-way wireless voice and data communication system for the underground mining industry was developed. The system achieves energy savings through increased productivity and greater energy efficiency in meeting safety requirements within mines. The mine-wide system is comprised of two interfaced subsystems: a through-the-earth communications system and an in-mine communications system. The mine-wide system permits two-way communication among underground personnel and between underground and surface personnel. The system was designed, built, and commercialized. Several systems are in operation in underground mines in the United States. The use of these systems has proven they result in considerable energy savings. A system for tracking the location of vehicles and people within the mine was also developed, built and tested successfully. Transtek's systems are being used by the National Institute of Occupational Safety and Health (NIOSH) in their underground mine rescue team training program. This project also resulted in a spin-off rescue team lifeline and communications system. Furthermore, the project points the way to further developments that can lead to a GPS-like system for underground mines allowing the use of autonomous machines in underground mining operations, greatly reducing the amount of energy used in these operations. Some products developed under this program are transferable to applications in fields other than mining. The rescue team system is applicable to use by first responders to natural, accidental, or terrorist-caused building collapses. The in-mine communications system can be installed in high-rise buildings providing in-building communications to security and maintenance personnel as well as to first responders.

  1. SAND AND GRAVEL MINING IN COLORADO RIPARIAN HABITATS

    E-Print Network [OSTI]

    Reclamation Specialist Colorado Division of Mined Land Reclamation 723 Centennial Building 1313 Sherman Reclamation Board (MLRB) administers the Colo rado Mined Land Reclamation Act of 1976. This law requires types of mining including sand and gravel mining. The Mined Land Reclamation Division (MLRD

  2. Low-rank coal research: Volume 3, Combustion research: Final report. [Great Plains

    SciTech Connect (OSTI)

    Mann, M. D.; Hajicek, D. R.; Zobeck, B. J.; Kalmanovitch, D. P.; Potas, T. A.; Maas, D. J.; Malterer, T. J.; DeWall, R. A.; Miller, B. G.; Johnson, M. D.

    1987-04-01T23:59:59.000Z

    Volume III, Combustion Research, contains articles on fluidized bed combustion, advanced processes for low-rank coal slurry production, low-rank coal slurry combustion, heat engine utilization of low-rank coals, and Great Plains Gasification Plant. These articles have been entered individually into EDB and ERA. (LTN)

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

    E-Print Network [OSTI]

    Yanikoglu, Berrin

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

  4. Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method

    E-Print Network [OSTI]

    Lu, Jianguo

    Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method Jianguo Lu Preprint submitted to Elsevier March 12, 2010 #12;Ranking Bias in Deep Web Size Estimation Using Capture Recapture, Canada. email: jlu@uwindsor.ca Abstract Many deep web data sources are ranked data sources, i

  5. Elliptic curves with large torsion and positive rank over number fields of small degree and ECM

    E-Print Network [OSTI]

    Dujella, Andrej

    Elliptic curves with large torsion and positive rank over number fields of small degree and ECM for construction of elliptic curves with large torsion group and positive rank over number fields of small degree). Keywords: Torsion group, rank, elliptic curves, number fields Mathematics Subject Classification (2010): 11

  6. Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search

    E-Print Network [OSTI]

    Gomes, Carla P.

    Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search Yunsong Guo propose an approach for automatically rank- ing structured documents applied to patent prior art search. Our model, SVM Patent Ranking (SVMP R) incorporates margin constraints that di- rectly capture

  7. Data mining and visualization techniques

    DOE Patents [OSTI]

    Wong, Pak Chung (Richland, WA); Whitney, Paul (Richland, WA); Thomas, Jim (Richland, WA)

    2004-03-23T23:59:59.000Z

    Disclosed are association rule identification and visualization methods, systems, and apparatus. An association rule in data mining is an implication of the form X.fwdarw.Y where X is a set of antecedent items and Y is the consequent item. A unique visualization technique that provides multiple antecedent, consequent, confidence, and support information is disclosed to facilitate better presentation of large quantities of complex association rules.

  8. ITP Mining: Energy and Environmental Profile of the U.S. Mining...

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

    Virtually all ore was concentrated before shipment. Nine mines operated by five companies accounted for 99 percent of production. 1 4.1.1.1 Surface Mining When the iron...

  9. Autonomy and operator-assistance technologies optimize mining processes and mining equipment operation.

    E-Print Network [OSTI]

    Gupta, Abhinav

    operation. · Drills, miners and shearers are guided with laser precision for maximum extraction from the ore#12;· Autonomy and operator-assistance technologies optimize mining processes and mining equipment

  10. Legacy of historic mining and water quality in a heavily mined Scottish river catchment 

    E-Print Network [OSTI]

    Haunch, Simon

    2013-11-28T23:59:59.000Z

    Mine abandonment and the discharge of contaminated mine water is recognised globally as a major source of surface water and groundwater pollution. Contamination generally arises from the oxidation of sulphide minerals, ...

  11. Coal bunkers in underground mines

    SciTech Connect (OSTI)

    Polak, J.; Zegzulka, J. [VSB-Technical Univ., Ostrava (Czech Republic)

    1996-12-31T23:59:59.000Z

    In spite of the technical progress in the application of face technological equipment, the fluctuation of its output has been still considerable. A coal clearance system can be on one hand overloaded by production peaks and on the other hand its stoppages unfavorably influence production of faces. It has been proved that the most effective coal conveying system incorporates surge bunkers to eliminate the above mentioned problems. The surge bunkers have been used in the Czech mines since the middle of the sixties. There were 17 bunkers with an average capacity of 200 m{sup 3} in the biggest Czech coal mine basin OKD in 1967. Presently the number of bunkers has increased to 66 with a total capacity of 40,000 m{sup 3}. It represents the possibility of storing 56% of the daily OKD running of mine output. Two thirds of the number are gate bunkers with an average capacity of 540 m{sup 3} and the rest are skip ones with an average capacity of 740 m{sup 3}, situated at the shaft side.

  12. Injury experience in stone mining, 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of stone mining in the United States for 1992. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  13. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

    Allebach, J.P.; Ochoa, E.; Sweeney, D.W.

    1987-10-09T23:59:59.000Z

    A hybrid optical/electronic system performs median filtering and related ranked-order operations using threshold decomposition to encode the image. Threshold decomposition transforms the nonlinear neighborhood ranking operation into a linear space-invariant filtering step followed by a point-to-point threshold comparison step. Spatial multiplexing allows parallel processing of all the threshold components as well as recombination by a second linear, space-invariant filtering step. An incoherent optical correlation system performs the linear filtering, using a magneto-optic spatial light modulator as the input device and a computer-generated hologram in the filter plane. Thresholding is done electronically. By adjusting the value of the threshold, the same architecture is used to perform median, minimum, and maximum filtering of images. A totally optical system is also disclosed. 3 figs.

  14. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

    Allebach, Jan P. (West Lafayette, IN); Ochoa, Ellen (Pleasanton, CA); Sweeney, Donald W. (Alamo, CA)

    1990-01-01T23:59:59.000Z

    A hybrid optical/electronic system performs median filtering and related ranked-order operations using threshold decomposition to encode the image. Threshold decomposition transforms the nonlinear neighborhood ranking operation into a linear space-invariant filtering step followed by a point-to-point threshold comparison step. Spatial multiplexing allows parallel processing of all the threshold components as well as recombination by a second linear, space-invariant filtering step. An incoherent optical correlation system performs the linear filtering, using a magneto-optic spatial light modulator as the input device and a computer-generated hologram in the filter plane. Thresholding is done electronically. By adjusting the value of the threshold, the same architecture is used to perform median, minimum, and maximum filtering of images. A totally optical system is also disclosed.

  15. Colorado School of Mines Graduate Bulletin 1999-2000 1 School of Mines

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines

  16. Low-rank coal oil agglomeration product and process

    DOE Patents [OSTI]

    Knudson, Curtis L. (Grand Forks, ND); Timpe, Ronald C. (Grand Forks, ND); Potas, Todd A. (Plymouth, MN); DeWall, Raymond A. (Grand Forks, ND); Musich, Mark A. (Grand Forks, ND)

    1992-01-01T23:59:59.000Z

    A selectively-sized, raw, low-rank coal is processed to produce a low ash and relative water-free agglomerate with an enhanced heating value and a hardness sufficient to produce a non-decrepitating, shippable fuel. The low-rank coal is treated, under high shear conditions, in the first stage to cause ash reduction and subsequent surface modification which is necessary to facilitate agglomerate formation. In the second stage the treated low-rank coal is contacted with bridging and binding oils under low shear conditions to produce agglomerates of selected size. The bridging and binding oils may be coal or petroleum derived. The process incorporates a thermal deoiling step whereby the bridging oil may be completely or partially recovered from the agglomerate; whereas, partial recovery of the bridging oil functions to leave as an agglomerate binder, the heavy constituents of the bridging oil. The recovered oil is suitable for recycling to the agglomeration step or can serve as a value-added product.

  17. Low-rank coal oil agglomeration product and process

    DOE Patents [OSTI]

    Knudson, C.L.; Timpe, R.C.; Potas, T.A.; DeWall, R.A.; Musich, M.A.

    1992-11-10T23:59:59.000Z

    A selectively-sized, raw, low-rank coal is processed to produce a low ash and relative water-free agglomerate with an enhanced heating value and a hardness sufficient to produce a non-degradable, shippable fuel. The low-rank coal is treated, under high shear conditions, in the first stage to cause ash reduction and subsequent surface modification which is necessary to facilitate agglomerate formation. In the second stage the treated low-rank coal is contacted with bridging and binding oils under low shear conditions to produce agglomerates of selected size. The bridging and binding oils may be coal or petroleum derived. The process incorporates a thermal deoiling step whereby the bridging oil may be completely or partially recovered from the agglomerate; whereas, partial recovery of the bridging oil functions to leave as an agglomerate binder, the heavy constituents of the bridging oil. The recovered oil is suitable for recycling to the agglomeration step or can serve as a value-added product.

  18. Percentile Ranks and the Integrated Impact Indicator (I3)

    E-Print Network [OSTI]

    Leydesdorff, Loet

    2011-01-01T23:59:59.000Z

    We tested Rousseau's (in press) recent proposal to define percentile classes in the case of the Integrated Impact Indicator (I3) so that the largest number in a set always belongs to the highest (100th) percentile rank class. In the case a set of nine uncited papers and one with citation, however, the uncited papers would all be placed in the 90th percentile rank. A lowly-cited document set would thus be advantaged when compared with a highly-cited one. Notwithstanding our reservations, we extended the program for computing I3 in Web-of-Science data (at http://www.leydesdorff.net/software/i3) with this option; the quantiles without a correction are now the default. As Rousseau mentions, excellence indicators (e.g., the top-10%) can be considered as special cases of I3: only two percentile rank classes are distinguished for the evaluation. Both excellence and impact indicators can be tested statistically using the z-test for independent proportions.

  19. Intelligent Simulation Tools for Mining Large Scienti c Data Sets 1 Intelligent Simulation Tools for Mining

    E-Print Network [OSTI]

    Bailey-Kellogg, Chris

    Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets 1 Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets Feng ZHAO Xerox Palo Alto Research Center 3333 Coyote Hill Road, Palo. Keywords Intelligent simulation, Scienti#12;c data mining, Qualitative reasoning, Reasoning about physical

  20. LLM Oil, Gas and Mining Law Module Information: Oil, Gas and Mining Investment Law I and

    E-Print Network [OSTI]

    Evans, Paul

    LLM Oil, Gas and Mining Law Module Information: Oil, Gas and Mining Investment Law I and Oil, Gas and Mining Investment Law II Overview & Aims: This core module aims to introduce students to the political economy background as well as the international legal framework for transnational foreign investment

  1. CHEN, LOY, GONG, XIANG: FEATURE MINING FOR LOCALISED CROWD COUNTING 1 Feature Mining for Localised Crowd

    E-Print Network [OSTI]

    Gong, Shaogang

    CHEN, LOY, GONG, XIANG: FEATURE MINING FOR LOCALISED CROWD COUNTING 1 Feature Mining for Localised Crowd Counting Ke Chen1 cory@eecs.qmul.ac.uk Chen Change Loy2 ccloy@visionsemantics.com Shaogang Gong1 in print or electronic forms. #12;2 CHEN, LOY, GONG, XIANG: FEATURE MINING FOR LOCALISED CROWD COUNTING

  2. Data Mining: Concepts and TechniquesFebruary 19, 2008 1 Data Mining

    E-Print Network [OSTI]

    Raghavan, Vijay

    Data Mining: Concepts and TechniquesFebruary 19, 2008 1 Data Mining: Concepts and Techniques.cs.uiuc.edu/~hanj ©2006 Jiawei Han and Micheline Kamber, All rights reserved #12;Data Mining: Concepts and TechniquesFebruary 19, 2008 2 Chapter 2: Data Preprocessing Why preprocess the data? Descriptive data summarization

  3. Climate VISION: Private Sector Initiatives: Mining: Resources...

    Office of Scientific and Technical Information (OSTI)

    Technical Information Publications Case Studies Publications The Mining Industry Climate Action Plan (MICAP) (PDF 308 KB) Download Acrobat Reader MICAP focuses on carbon dioxide...

  4. Climate VISION: Private Sector Initiatives: Mining: Resources...

    Office of Scientific and Technical Information (OSTI)

    Outreach Program (CMOP) is a voluntary program aimed at reducing methane emissions from coal mining activities. Our mission is to promote the profitable recovery and use of coal...

  5. Climate VISION: Private Sector Initiatives: Mining: Resources...

    Office of Scientific and Technical Information (OSTI)

    process on the most significant and timely issues that impact our ability to locate, permit, mine, process, transport, and utilize the nation's vast coal and mineral resources...

  6. Climate VISION: Private Sector Initiatives: Mining: Technology...

    Office of Scientific and Technical Information (OSTI)

    Technology Pathways As part of the mining vision process, industry develops technology roadmaps to identify critical pathways for the R&D needed to reach their goals. These...

  7. College of Engineering MNG Mining Engineering

    E-Print Network [OSTI]

    MacAdam, Keith

    (Concurrent), PHY 232, engineering standing. MNG 302 MINERALS PROCESSING LABORATORY. (1) ApplicationCollege of Engineering MNG Mining Engineering KEY: # = new course * = course changed = course ENGINEERING. (1) Orientationtotheminingengineeringprofession

  8. Interstate Mining Compact Commission (multi-state)

    Broader source: Energy.gov [DOE]

    The Interstate Mining Compact is a multi-state governmental agency / organization that represents the natural resource and related environmental protection interests of its member states. Currently...

  9. Injury experience in coal mining, 1991

    SciTech Connect (OSTI)

    Not Available

    1991-12-31T23:59:59.000Z

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1991. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report. Data used in compiling this report were reported by operators of coal mines and preparation plants on a mandatory basis as required under the Federal Mine Safety and Health Act of 1977, Public Law 91-173,as amended by Public Law 95-164. Since January 1, 1978, operators of mines or preparation plants or both which are subject to the Act have been required under 30 CFR, Part 50, to submit reports of injuries, occupational illnesses, and related data.

  10. Equipment Selection for Surface Mining: A Review

    E-Print Network [OSTI]

    Christina Burt

    2013-04-16T23:59:59.000Z

    Apr 16, 2013 ... Abstract: One of the challenging problems for surface mining operation optimization is choosing the optimal truck and loader fleet. This problem ...

  11. The LSST Data Mining Research Agenda

    E-Print Network [OSTI]

    K. D. Borne; J. Becla; I. Davidson; A. Szalay; J. A. Tyson

    2008-11-02T23:59:59.000Z

    We describe features of the LSST science database that are amenable to scientific data mining, object classification, outlier identification, anomaly detection, image quality assurance, and survey science validation. The data mining research agenda includes: scalability (at petabytes scales) of existing machine learning and data mining algorithms; development of grid-enabled parallel data mining algorithms; designing a robust system for brokering classifications from the LSST event pipeline (which may produce 10,000 or more event alerts per night); multi-resolution methods for exploration of petascale databases; indexing of multi-attribute multi-dimensional astronomical databases (beyond spatial indexing) for rapid querying of petabyte databases; and more.

  12. Mining, Using and Maintaining Source Statistics for Adaptive Data Integration

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    -Objective Optimization, Statistics Mining, Incremental Maintenance 1. INTRODUCTION The availability of structuredMining, Using and Maintaining Source Statistics for Adaptive Data Integration Jianchun Fan a framework for effectively mining multiple types of statistics including source coverage statistics, inter

  13. Text mining for user perspectives on the physical workplace

    E-Print Network [OSTI]

    Goins, John; Moezzi, Mithra

    2011-01-01T23:59:59.000Z

    Goins, John (2011) 'Text mining for occupant perspectives onGoins, John (2011) 'Text mining for occupant perspectives onGoins, John (2011) 'Text mining for occupant perspectives on

  14. Integrated network construction using event based text mining

    E-Print Network [OSTI]

    Gent, Universiteit

    Integrated network construction using event based text mining Yvan Saeys, Sofie Van Landeghem numerous interactions between biological entities. Text mining techniques have been increasingly useful mining in the systems biology field has been restricted mostly to the discovery of protein

  15. Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches

    E-Print Network [OSTI]

    Schwartz, Paul M.; Lee, Ronald D.; Rubinstein, Ira

    2008-01-01T23:59:59.000Z

    of consensus safeguards around government data mining tocommercial data mining, the extent and speed of ad- funded2/19/2008 3:00:00 PM Data Mining and Internet Profiling:

  16. Shared State for Distributed Interactive Data Mining Applications

    E-Print Network [OSTI]

    Dwarkadas, Sandhya

    Shared State for Distributed Interactive Data Mining Applications #3; Srinivasan Parthasarathy, 2001 Abstract Distributed data mining applications involving user interaction are now fea- sible due and eval- uates a system for sharing state among such interactive distributed data mining applications

  17. Data Mining for Improving Health-Care Resource Deployment

    E-Print Network [OSTI]

    He, Nannan

    2014-01-01T23:59:59.000Z

    a comparison of three data mining methods. ArtificialE. F. (2011). Data Mining:Practical Machine Learning ToolsHan, M. K. (2012). Data Mining:Concepts and Techiniques.

  18. Planning for Mining Operations with Time and Resource Constraints

    E-Print Network [OSTI]

    Nir Lipovetzky

    2014-02-05T23:59:59.000Z

    Feb 5, 2014 ... Abstract: We study a daily mine planning problem where, given a set of blocks we wish to mine, our task is to generate a mining sequence for ...

  19. Software Escalation Prediction with Data Mining Tilmann Bruckhaus

    E-Print Network [OSTI]

    Ling, Charles X.

    Software Escalation Prediction with Data Mining Tilmann Bruckhaus Customer Network Services Sun (EP) is to avoid such escalations from known product defects using data mining technology [1, 2 is then augmented within the SPSS Clementine data-mining

  20. Modified Hazard Ranking System/Hazard Ranking System for sites with mixed radioactive and hazardous wastes: Software documentation

    SciTech Connect (OSTI)

    Stenner, R.D.; Peloquin, R.A.; Hawley, K.A.

    1986-11-01T23:59:59.000Z

    The mHRS/HRS software package was developed by the Pacific Northwest Laboratory (PNL) under contract with the Department of Energy (DOE) to provide a uniform method for DOE facilities to use in performing their Conservation Environmental Response Compensation and Liability Act (CERCLA) Phase I Modified Hazard Ranking System or Hazard Ranking System evaluations. The program is designed to remove the tedium and potential for error associated with the performing of hand calculations and the interpreting of information on tables and in reference books when performing an evaluation. The software package is designed to operate on a microcomputer (IBM PC, PC/XT, or PC/AT, or a compatible system) using either a dual floppy disk drive or a hard disk storage system. It is written in the dBASE III language and operates using the dBASE III system. Although the mHRS/HRS software package was developed for use at DOE facilities, it has direct applicability to the performing of CERCLA Phase I evaluations for any facility contaminated by hazardous waste. The software can perform evaluations using either the modified hazard ranking system methodology developed by DOE/PNL, the hazard ranking system methodology developed by EPA/MITRE Corp., or a combination of the two. This document is a companion manual to the mHRS/HRS user manual. It is intended for the programmer who must maintain the software package and for those interested in the computer implementation. This manual documents the system logic, computer programs, and data files that comprise the package. Hardware and software implementation requirements are discussed. In addition, hand calculations of three sample situations (problems) with associated computer runs used for the verification of program calculations are included.

  1. american mining congress: Topics by E-print Network

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

    SAS and OSU Business Analytics Certificate Program Veiga, Pedro Manuel Barbosa 185 Mining Subsidence Monitoring CiteSeer Summary: Compared to opencut mining, underground...

  2. Virginia Coal Surface Mining Control and Reclamation Act (Virginia)

    Broader source: Energy.gov [DOE]

    This legislation implements the federal Surface Mining Control and Reclamation Act and establishes a statewide regulatory program for reclamation following coal surface mining activities. The...

  3. Modeling the Process of Mining Silicon Through a Single Displacement...

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

    Modeling the Process of Mining Silicon Through a Single DisplacementRedox Reaction Modeling the Process of Mining Silicon Through a Single DisplacementRedox Reaction Below is...

  4. Emissions and Durability of Underground Mining Diesel Particulate...

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

    Durability of Underground Mining Diesel Particulate Filter Applications Emissions and Durability of Underground Mining Diesel Particulate Filter Applications Presentation given at...

  5. Reclamation of Land Used for Mineral Mining (Virginia)

    Broader source: Energy.gov [DOE]

    This legislation aims to provide for the rehabilitation and conservation of land affected by the mining of minerals through proper planning, proper use of appropriate methods of mining,...

  6. Copper isotope fractionation in acid mine drainage. | EMSL

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

    in acid mine drainage. Abstract: We surveyed the Cu isotopic composition of primary minerals and stream water affected by acid mine drainage in a mineralized watershed located in...

  7. australian mining industry: Topics by E-print Network

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

    Globalization is placing new demands on today's metals, mining and forest and paper companies - especially 95 Energy Research Data mining algorithms and software...

  8. abandoned lignite mines: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  9. abandoned metal mines: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  10. abandoned coal mines: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  11. australian coal mining: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  12. abandoned anthracite mines: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  13. african coal mining: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  14. abandoned underground mines: Topics by E-print Network

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

    Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  15. Effects of Alder Mine on the Water, Sediments, and Benthic Macroinvertebrates of Alder Creek, 1998 Annual Report.

    SciTech Connect (OSTI)

    Peplow, Dan

    1999-05-28T23:59:59.000Z

    The Alder Mine, an abandoned gold, silver, copper, and zinc mine in Okanogan County, Washington, produces heavy metal-laden effluent that affects the quality of water in a tributary of the Methow River. The annual mass loading of heavy metals from two audits at the Alder Mine was estimated to exceed 11,000 kg per year. In this study, water samples from stations along Alder Creek were assayed for heavy metals by ICP-AES and were found to exceed Washington State's acute freshwater criteria for cadmium (Cd), copper (Cu), selenium (Se), and zinc (Zn).

  16. Knowledge Discovery and Data Mining (KDDM) survey report.

    SciTech Connect (OSTI)

    Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.; Elmore, Mark T. (Oak Ridge National Laboratory, Oak Ridge, TN); Treadwell, Jim N. (Oak Ridge National Laboratory, Oak Ridge, TN); Homan, Rossitza A.; Chapman, Leon Darrel; Spires, Shannon V.

    2005-02-01T23:59:59.000Z

    The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.

  17. Ranking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval

    E-Print Network [OSTI]

    Ohbuchi, Ryutarou

    printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrieval is essential scanners, 3D printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrievalRanking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model

  18. Ranking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval

    E-Print Network [OSTI]

    Ohbuchi, Ryutarou

    printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrieval is essentialRanking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval Takahiko FuruyaRyutarou Ohbuchi University of Yamanashi #12;IntroductionIntroduction 3D models

  19. Data mining for ontology development.

    SciTech Connect (OSTI)

    Davidson, George S.; Strasburg, Jana (Pacific Northwest National Laboratory, Richland, WA); Stampf, David (Brookhaven National Laboratory, Upton, NY); Neymotin,Lev (Brookhaven National Laboratory, Upton, NY); Czajkowski, Carl (Brookhaven National Laboratory, Upton, NY); Shine, Eugene (Savannah River National Laboratory, Aiken, SC); Bollinger, James (Savannah River National Laboratory, Aiken, SC); Ghosh, Vinita (Brookhaven National Laboratory, Upton, NY); Sorokine, Alexandre (Oak Ridge National Laboratory, Oak Ridge, TN); Ferrell, Regina (Oak Ridge National Laboratory, Oak Ridge, TN); Ward, Richard (Oak Ridge National Laboratory, Oak Ridge, TN); Schoenwald, David Alan

    2010-06-01T23:59:59.000Z

    A multi-laboratory ontology construction effort during the summer and fall of 2009 prototyped an ontology for counterfeit semiconductor manufacturing. This effort included an ontology development team and an ontology validation methods team. Here the third team of the Ontology Project, the Data Analysis (DA) team reports on their approaches, the tools they used, and results for mining literature for terminology pertinent to counterfeit semiconductor manufacturing. A discussion of the value of ontology-based analysis is presented, with insights drawn from other ontology-based methods regularly used in the analysis of genomic experiments. Finally, suggestions for future work are offered.

  20. Towards Generic Pattern Mining (Extended Abstract)

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    Award DE-FG02-02ER25538, and NSF grants EIA-0103708 and EMT-0432098. We thank Paolo Palmerini and Jeevan computations using a tightly coupled database (DBMS) approach. One of the main attractions of a generic are persistent and indexed, this means the mining can be done efficiently over massive databases, and mined

  1. Principles for Mining Summaries: Theorems and Proofs

    E-Print Network [OSTI]

    Regina, University of

    Principles for Mining Summaries: Theorems and Proofs Robert J. Hilderman and Howard J. Hamilton,hamiltong@cs.uregina.ca Abstract An important problem in the area of data mining is the development of effective measures of inter previously been utilized in various disciplines, such as information theory, statis­ tics, ecology

  2. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics;#12;Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of the requirements for the degree of Master of Science (Geophysics). Golden, Colorado Date: April 14, 2005 Signed

  3. WEB MINING: A ROADMAP Magdalini Eirinaki

    E-Print Network [OSTI]

    Eirinaki, Magdalini

    1 WEB MINING: A ROADMAP Magdalini Eirinaki Dept. of Informatics Athens University of Economics and Business CHAPTER 1 Introduction ­ The three axes of Web Mining 1.1 WWW Impact The World Wide Web, has grown of the Web content, the creation of some meta- knowledge out of the information which is available on the Web

  4. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes dr. Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/12/16: Written exam, seminar proposal discussion · 2014/1/8: Data mining seminar gain becomes the root 7. Divide the set S into subsets Si according to the values of A 8. Repeat steps

  5. ANALYSIS OF MINING EXPLOSION PERFORMANCE WITH MULTIPLE

    E-Print Network [OSTI]

    Stump, Brian W.

    Limitations of Video Data · Effect of Blast Design on Near-Source Seismograms · Different Types of Cast Blasts of Models in Visualization ß Two-Dimensional Blast Model ß Three-Dimensional Blast Models 3. Applications to Different Types of Mining Explosions · Single Shot · Cast Blast · Coal Fragmentation #12;Analysis of Mining

  6. Mining Protein Contact Maps Jingjing Hu

    E-Print Network [OSTI]

    Bystroff, Chris

    Mining Protein Contact Maps Jingjing Hu , Xiaolan Shen , Yu Shao ¡ , Chris Bystroff matrix of pairwise, inter-residue contacts, or "contact map". The contact map provides a host of use- ful information about the protein's structure. In this paper we de- scribe how data mining can be used to extract

  7. The Neon DSEL for mining Helium programs

    E-Print Network [OSTI]

    Utrecht, Universiteit

    studies We consider three case studies to illustrate how Neon can be used to data mine the collectionThe Neon DSEL for mining Helium programs Jurriaan Hage Peter van Keeken Department of Information and Computing Sciences, Utrecht University Technical Report UU-CS-2007-023 www.cs.uu.nl ISSN: 0924-3275 #12

  8. Low-rank-coal study national needs for resource development. Volume 1. Executive summary

    SciTech Connect (OSTI)

    Elliot, Dr., Martin A.; Hill, George R.; Jonakin, James; Crutchfield, Paul W.; Severson, Donald E.; White, David M.; Yeager, Kurt

    1980-11-01T23:59:59.000Z

    Low-rank coals - lignite and subbituminous - are those which have been subjected to the least amount of metamorphic change during the coal-forming process. As such, they retain greater fractions of moisture and volatile matter from the original peat material, and contain less fixed carbon, than the high-rank coals - bituminous and anthracite. The primary measure used to classify the lower ranks of coal is heating value. Other important characteristics which distinguish the low-rank coals from high-rank coals are discussed in this report. Low-rank coals represent a major, and largely untapped, energy resource for this country. Very extensive deposits of lignite and subbituminous coal exist in the western states, the Gulf coast, and Alaska. Major deposits of low-rank coal are also found in many other countries, most notably the USSR, Australia, Canada, and the central and eastern European nations. Worldwide coal statistics indicate that low-rank coals account for roughly one-third of the total resource and current production tonnages. This report recommends a comprehensive national research, development, and demonstration (RD and D) program to enhance the development of low-rank coals. The major conclusion of this study is that the unique properties of these coals affect the technologies for their extraction, preparation, direct use, and conversion and justify a separate focus on low-rank coals in the national RD and D efforts.

  9. Discoveries far from the lamppost with matrix elements and ranking

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

    Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

    2015-04-01T23:59:59.000Z

    The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inverse of the background distribution.

  10. On the Classification of Low-Rank Braided Fusion Categories

    E-Print Network [OSTI]

    Bruillard, Paul Joseph

    2013-05-23T23:59:59.000Z

    ON THE CLASSIFICATION OF LOW-RANK BRAIDED FUSION CATEGORIES A Dissertation by PAUL JOSEPH BRUILLARD Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR...+=p . BFC Braided Fusion Category. C0 The M uger center of the category C. Cad The adjoint subcategory. Cpt The pointed subcategory. Cop Opposite (mirror) category to C. coevX Coevaluation I! X X . C2 (G;K ) 2-cochains of G with coe cients in K . C...

  11. Discoveries far from the lamppost with matrix elements and ranking

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

    Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

    2015-04-01T23:59:59.000Z

    The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inversemore »of the background distribution.« less

  12. U.S. Department of Energy Office of Legacy Management Legacy Uranium Mine Site Reclamation - Lessons Learned - 12384

    SciTech Connect (OSTI)

    Kilpatrick, Laura E. [U.S. Department of Energy Office of Legacy Management, Westminster, Colorado 80021 (United States); Cotter, Ed [S.M. Stoller Corporation, Grand Junction, Colorado 81503 (United States)

    2012-07-01T23:59:59.000Z

    The U.S. Department of Energy (DOE) Office of Legacy Management is responsible for administering the DOE Uranium Leasing Program (ULP) and its 31 uranium lease tracts located in the Uravan Mineral Belt of southwestern Colorado (see Figure 1). In addition to administering the ULP for the last six decades, DOE has also undertaken the significant task of reclaiming a large number of abandoned uranium (legacy) mine sites and associated features located throughout the Uravan Mineral Belt. In 1995, DOE initiated a 3-year reconnaissance program to locate and delineate (through extensive on-the-ground mapping) the legacy mine sites and associated features contained within the historically defined boundaries of its uranium lease tracts. During that same time frame, DOE recognized the lack of regulations pertaining to the reclamation of legacy mine sites and contacted the U.S. Bureau of Land Management (BLM) concerning the reclamation of legacy mine sites. In November 1995, The BLM Colorado State Office formally issued the United States Department of the Interior, Colorado Bureau of Land Management, Closure/Reclamation Guidelines, Abandoned Uranium Mine Sites as a supplement to its Solid Minerals Reclamation Handbook (H-3042-1). Over the next five-and-one-half years, DOE reclaimed the 161 legacy mine sites that had been identified on DOE withdrawn lands. By the late 1990's, the various BLM field offices in southwestern Colorado began to recognize DOE's experience and expertise in reclaiming legacy mine sites. During the ensuing 8 years, BLM funded DOE (through a series of task orders) to perform reclamation activities at 182 BLM mine sites. To date, DOE has reclaimed 372 separate and distinct legacy mine sites. During this process, DOE has learned many lessons and is willing to share those lessons with others in the reclamation industry because there are still many legacy mine sites not yet reclaimed. DOE currently administers 31 lease tracts (11,017 ha) that collectively contain over 220 legacy (abandoned) uranium mine sites. This contrasts to the millions of hectares administered by the BLM, the U.S. Forest Service, and other federal, tribal, and state agencies that contain thousands of such sites. DOE believes that the processes it has used provide a practical and cost-effective approach to abandoned uranium mine-site reclamation. Although the Federal Acquisition Regulations preclude DOE from competing with private industry, DOE is available to assist other governmental and tribal agencies in their reclamation efforts. (authors)

  13. Soil microbial biomass: an estimator of soil development in reclaimed lignite mine soil

    E-Print Network [OSTI]

    Swanson, Eric Scott

    1996-01-01T23:59:59.000Z

    A two-year study was conducted at the Big Brown lignite mine in Fairfield, Texas, to determine the rate and extent of recovery of the soil microbial biomass (SMB) in mixed overburden. The relationships between SMB carbon (SMBC), basal respiration...

  14. Low-rank coal research. Quarterly report, January--March 1990

    SciTech Connect (OSTI)

    Not Available

    1990-08-01T23:59:59.000Z

    This document contains several quarterly progress reports for low-rank coal research that was performed from January-March 1990. Reports in Control Technology and Coal Preparation Research are in Flue Gas Cleanup, Waste Management, and Regional Energy Policy Program for the Northern Great Plains. Reports in Advanced Research and Technology Development are presented in Turbine Combustion Phenomena, Combustion Inorganic Transformation (two sections), Liquefaction Reactivity of Low-Rank Coals, Gasification Ash and Slag Characterization, and Coal Science. Reports in Combustion Research cover Fluidized-Bed Combustion, Beneficiation of Low-Rank Coals, Combustion Characterization of Low-Rank Coal Fuels, Diesel Utilization of Low-Rank Coals, and Produce and Characterize HWD (hot-water drying) Fuels for Heat Engine Applications. Liquefaction Research is reported in Low-Rank Coal Direct Liquefaction. Gasification Research progress is discussed for Production of Hydrogen and By-Products from Coal and for Chemistry of Sulfur Removal in Mild Gas.

  15. Low-Rank Coal Grinding Performance Versus Power Plant Performance

    SciTech Connect (OSTI)

    Rajive Ganguli; Sukumar Bandopadhyay

    2008-12-31T23:59:59.000Z

    The intent of this project was to demonstrate that Alaskan low-rank coal, which is high in volatile content, need not be ground as fine as bituminous coal (typically low in volatile content) for optimum combustion in power plants. The grind or particle size distribution (PSD), which is quantified by percentage of pulverized coal passing 74 microns (200 mesh), affects the pulverizer throughput in power plants. The finer the grind, the lower the throughput. For a power plant to maintain combustion levels, throughput needs to be high. The problem of particle size is compounded for Alaskan coal since it has a low Hardgrove grindability index (HGI); that is, it is difficult to grind. If the thesis of this project is demonstrated, then Alaskan coal need not be ground to the industry standard, thereby alleviating somewhat the low HGI issue (and, hopefully, furthering the salability of Alaskan coal). This project studied the relationship between PSD and power plant efficiency, emissions, and mill power consumption for low-rank high-volatile-content Alaskan coal. The emissions studied were CO, CO{sub 2}, NO{sub x}, SO{sub 2}, and Hg (only two tests). The tested PSD range was 42 to 81 percent passing 76 microns. Within the tested range, there was very little correlation between PSD and power plant efficiency, CO, NO{sub x}, and SO{sub 2}. Hg emissions were very low and, therefore, did not allow comparison between grind sizes. Mill power consumption was lower for coarser grinds.

  16. Structure, constitution and utilization of low rank Indian coal

    SciTech Connect (OSTI)

    Iyengar, M.S.; Iyengar, V.A. [M.S. Iyengar and Associates, New Delhi (India)

    1996-12-31T23:59:59.000Z

    This paper briefly reviews the work done on lignite and sub-bituminous coals. Surface area and moisture adsorption dependency on functional group is described. The role of hydrogen bonding in the briquetting of lignite and of alkyl groups in inducing caking properties are discussed. The dualistic behavior of abnormal coals as both a low and high rank coal is also discussed in relation to the nature of their sulphur groups. On the utilization side, processes are described for: (1) Utilization of non-caking coal in the reduction of iron ore. Coal is first briquetted using a lime-tar binder. It is then carbonized for reducing iron ore. The bar is recovered and recycled. (2) Production of carbon black from low rank coals. In this process, coal is carbonized at high temperature in a fluidized bed. Carbon black, for tire industry, is obtained with char as by-product. (3) Utilization of flue gases of industry is also discussed. In this new approach, the flue gas is reduced to synthesis gas by additional fuel and the inevitable surplus heat. The viability of the process is illustrated by details of a recent study in a cement plant. In addition to the above, the implication of recycling flue gas in automobile engines to make them more environment friendly and cost effective, is also discussed.

  17. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane McVay; Walter Ayers, Jr.; Jerry Jensen; Jorge Garduno; Gonzola Hernandez; Rasheed Bello; Rahila Ramazanova

    2006-08-31T23:59:59.000Z

    Injection of CO{sub 2} in coalbeds is a plausible method of reducing atmospheric emissions of CO{sub 2}, and it can have the additional benefit of enhancing methane recovery from coal. Most previous studies have evaluated the merits of CO{sub 2} disposal in high-rank coals. The objective of this research was to determine the technical and economic feasibility of CO{sub 2} sequestration in, and enhanced coalbed methane (ECBM) recovery from, low-rank coals in the Texas Gulf Coast area. Our research included an extensive coal characterization program, including acquisition and analysis of coal core samples and well transient test data. We conducted deterministic and probabilistic reservoir simulation and economic studies to evaluate the effects of injectant fluid composition (pure CO{sub 2} and flue gas), well spacing, injection rate, and dewatering on CO{sub 2} sequestration and ECBM recovery in low-rank coals of the Calvert Bluff formation of the Texas Wilcox Group. Shallow and deep Calvert Bluff coals occur in two, distinct, coalbed gas petroleum systems that are separated by a transition zone. Calvert Bluff coals < 3,500 ft deep are part of a biogenic coalbed gas system. They have low gas content and are part of a freshwater aquifer. In contrast, Wilcox coals deeper than 3,500 ft are part of a thermogenic coalbed gas system. They have high gas content and are part of a saline aquifer. CO{sub 2} sequestration and ECBM projects in Calvert Bluff low-rank coals of East-Central Texas must be located in the deeper, unmineable coals, because shallow Wilcox coals are part of a protected freshwater aquifer. Probabilistic simulation of 100% CO{sub 2} injection into 20 feet of Calvert Bluff coal in an 80-acre 5-spot pattern indicates that these coals can store 1.27 to 2.25 Bcf of CO{sub 2} at depths of 6,200 ft, with an ECBM recovery of 0.48 to 0.85 Bcf. Simulation results of flue gas injection (87% N{sub 2}-13% CO{sub 2}) indicate that these same coals can store 0.34 to 0.59 Bcf of CO{sub 2} with an ECBM recovery of 0.68 to 1.20 Bcf. Economic modeling of CO{sub 2} sequestration and ECBM recovery indicates predominantly negative economic indicators for the reservoir depths (4,000 to 6,200 ft) and well spacings investigated, using natural gas prices ranging from $2 to $12 per Mscf and CO{sub 2} credits based on carbon market prices ranging from $0.05 to $1.58 per Mscf CO{sub 2} ($1.00 to $30.00 per ton CO{sub 2}). Injection of flue gas (87% N{sub 2} - 13% CO{sub 2}) results in better economic performance than injection of 100% CO{sub 2}. CO{sub 2} sequestration potential and methane resources in low-rank coals of the Lower Calvert Bluff formation in East-Central Texas are significant. The potential CO{sub 2} sequestration capacity of the coals ranges between 27.2 and 49.2 Tcf (1.57 and 2.69 billion tons), with a mean value of 38 Tcf (2.2 billion tons), assuming a 72.4% injection efficiency. Estimates of recoverable methane resources range between 6.3 and 13.6 Tcf, with a mean of 9.8 Tcf, assuming a 71.3% recovery factor. Moderate increases in gas prices and/or carbon credits could generate attractive economic conditions that, combined with the close proximity of many CO{sub 2} point sources near unmineable coalbeds, could enable commercial CO{sub 2} sequestration and ECBM projects in Texas low-rank coals. Additional studies are needed to characterize Wilcox regional methane coalbed gas systems and their boundaries, and to assess potential of other low-rank coal beds. Results from this study may be transferable to other low-rank coal formations and regions.

  18. Generat Technical Report PNW-119 EFFECTS OF MINING

    E-Print Network [OSTI]

    8 Generat Technical Report PNW-119 1981April I EFFECTS OF MINING SUSAN B. MARTIN AND WILLIAM S Habitat in Western North America #12;ABSTRACT Methods of mining and the effects on aquatic ecosystems of mine-caused sediment, changes in pH, and toxic heavy metals are described. KEYWORDS: Mining methods

  19. MINING ENGINEERING SCHOLARSHIP APPLICATION FOR GPA-BASED SCHOLARSHIPS

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    MINING ENGINEERING SCHOLARSHIP APPLICATION FOR GPA-BASED SCHOLARSHIPS DEPARTMENT OF MINING: EDUCATIONAL INFORMATION: Current GPA: Credits Completed: Current Major (check one): MinE MinE/CE MinE/GEOL Note: As a MinE/CE or MinE/GEOL major, is MinE listed on your "General Student Form" as your first

  20. Foundations of Artificial Intelligence Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to Data Mining #12;Data Mining Objectives Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. Student should gain the knowledge on how

  1. Data mining for Action Recognition Andrew Gilbert Richard Bowden

    E-Print Network [OSTI]

    Bowden, Richard

    Data mining for Action Recognition Andrew Gilbert Richard Bowden Centre for Vision Speech of the features used. This paper improves the performance of action recognition through two data mining techniques, APriori association rule mining and Contrast Set Mining. These tech- niques are ideally suited to action

  2. Mining Positive and Negative Association Rules from Large Databases

    E-Print Network [OSTI]

    Gent, Universiteit

    Mining Positive and Negative Association Rules from Large Databases Chris Cornelis Dept. Appl. Math. Keywords--association rules, data mining, Apriori I. INTRODUCTION The idea of association rule (AR) mining a D-link network card". Mining negative association rules, however, raises a number of critical issues

  3. Introduction to Artificial Intelligence An Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence G51IAI An Introduction to Data Mining #12; Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. 2 Learning Objectives Dr Rong Qu G51IAI ­ Data Mining #12

  4. Wil M. P. van der Aalst Process Mining

    E-Print Network [OSTI]

    van der Aalst, Wil

    1 Wil M. P. van der Aalst Process Mining Discovery, Conformance and Enhancement of Business Processes Process Mining Wil M. P. van der Aalst Computer Science ProcessMining Discovery, Conformance organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline

  5. Off Earth Mining Forum 19-21 February 2013

    E-Print Network [OSTI]

    Sekercioglu, Y. Ahmet

    1 Off Earth Mining Forum 19-21 February 2013 www.acser.unsw.edu.au/oemf Never Stand Still Faculty of Engineering Australian Centre for Space Engineering Research (ACSER) #12;Off Earth Mining Forum, UNSW, Sydney Australia's place in space. Off Earth Mining Forum Sponsors Off Earth Mining Forum The prospect of people

  6. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    to advanced mining engineering problems. This program provides students the technical knowledge and researchWest Virginia University 1 Department of Mining Engineering Degrees Offered · Master's of science in mining engineering · Master's of science in engineering with a major in mining engineering · Doctor

  7. Remediation of Abandoned Mines Using Coal Combustion By-Products

    E-Print Network [OSTI]

    Aydilek, Ahmet

    . Maryland has about 450 coal mines out of which only 50 are active and about 150 mines produce AMD RafalkoRemediation of Abandoned Mines Using Coal Combustion By-Products Sowmya Bulusu1 ; Ahmet H. Aydilek that occurs when pyrite that is present in abandoned coal mines comes in contact with oxygen and water, which

  8. Optimization Online - Passenger Name Record Data Mining Based ...

    E-Print Network [OSTI]

    Dolores Romero Morales

    2008-04-16T23:59:59.000Z

    Apr 16, 2008 ... Passenger Name Record Data Mining Based Cancellation Forecasting for Revenue Management. Dolores Romero ...

  9. A Fast Algorithm for Data Mining CS 297 Report

    E-Print Network [OSTI]

    Pollett, Chris

    A Fast Algorithm for Data Mining CS 297 Report Aarathi Raghu Advisor: Dr.Chris Pollett December 2005 #12;A Fast Algorithm For Data Mining Abstract This report describes the data mining algorithms implemented and lessons learned during the course of my CS 297. Data Mining is a growing field and a plethora

  10. Semantic Analysis of Role Mining Results and Shadowed Roles Detection

    E-Print Network [OSTI]

    Garcia-Alfaro, Joaquin

    . These techniques get inspiration from data mining techniques, hence, they are known as role mining (RM). Several eSemantic Analysis of Role Mining Results and Shadowed Roles Detection Safa`a Hachanaa,c , Fr, Email: safa@swid.fr bInstitut Telecom-Mines/Telecom Bretagne, D´ept. LUSSI, Rennes, France Emails

  11. Mining patterns of events in students' teamwork data

    E-Print Network [OSTI]

    Zaiane, Osmar R.

    Mining patterns of events in students' teamwork data Judy Kay, Nicolas Maisonneuve, Kalina Yacef the electronic traces of their collaborations. The paper describes data mining of student group interaction data quantities, preprocessing it into a suitable alphabet for use in data mining. Then, we need data mining

  12. Projects of the year

    SciTech Connect (OSTI)

    Hansen, T.

    2007-01-15T23:59:59.000Z

    The Peabody Hotel, Orlando, Florida was the site of Power Engineering magazine's 2006 Projects of the Year Awards Banquet, which kicked-off the Power-Gen International conference and exhibition. The Best Coal-fired Project was awarded to Tri-State Generation and Transmission Association Inc., owner of Springenville Unit 3. This is a 400 MW pulverized coal plant in Springeville, AZ, sited with two existing coal-fired units. Designed to fire Powder River Basin coal, it has low NOx burners and selective catalytic reduction for NOx control, dry flue gas desulfurization for SO{sub 2} control and a pulse jet baghouse for particulate control. It has a seven-stage feedwater heater and condensers to ensure maximum performance. Progress Energy-Carolinas' Asheville Power Station FGD and SCR Project was awarded the 2006 coal-fired Project Honorable Mention. This plant in Skyland, NC was required to significantly reduce NOx emissions. When completed, the improvements will reduce NOx by 93% compared to 1996 levels and SO{sub 2} by 93% compared to 2001 levels. Awards for best gas-fired, nuclear, and renewable/sustainable energy projects are recorded. The Sasyadko Coal-Mine Methane Cogeneration Plant near Donezk, Ukraine, was given the 2006 Honorable Mention for Best Renewable/Sustainable Energy Project. In November 2004, Ukraine was among 14 nations to launch the Methane to Markets partnership. The award-winning plant is fuelled by methane released during coal extraction. It generates 42 MW of power. 4 photos.

  13. Method of underground mining by pillar extraction

    DOE Patents [OSTI]

    Bowen, Ray J. (1879 Delann, Salt Lake City, UT 84121); Bowen, William R. (1636 Sunnydale La., Salt Lake City, UT 84108)

    1980-08-12T23:59:59.000Z

    A method of sublevel caving and pillar and top coal extraction for mining thick coal seams includes the advance mining of rooms and crosscuts along the bottom of a seam to a height of about eight feet, and the retreat mining of the top coal from the rooms, crosscuts and portions of the pillars remaining from formation of the rooms and cross-cuts. In the retreat mining, a pocket is formed in a pillar, the top coal above the pocket is drilled, charged and shot, and then the fallen coal is loaded by a continuous miner so that the operator remains under a roof which has not been shot. The top coal from that portion of the room adjacent the pocket is then mined, and another pocket is formed in the pillar. The top coal above the second pocket is mined followed by the mining of the top coal of that portion of the room adjacent the second pocket, all by use of a continuous miner which allows the operator to remain under a roof portion which has not been shot.

  14. Mitigation planning for raptors during mining

    SciTech Connect (OSTI)

    Platt, S.W. [Wyoming Dept. of Environmental Quality/Land Quality Division, Lander, WY (United States); Hargis, N.E. [Bridger Coal Co., Rock Springs, WY (United States)

    1990-12-31T23:59:59.000Z

    Birds of prey and their eggs, young and nests are protected by state and federal laws and regulations. Surface mining operators may experience conflicts with raptors when expanding into nesting areas or when raptors are attracted into mining areas. State and federal permits are required for disturbance or manipulation of birds of prey. Mitigation planning for raptors begins before mining and continues through mining. As conflict situations changes, so must the mitigation plan. Before each nesting season the mining schedule should be compared to areas of known raptor nesting activity. If overlap occurs, nest protection measures may be needed. Areas of potential conflict should be patrolled regularly to identify the presence of a raptor pair and nest starts. Should a raptor nest be built and eggs laid, a change in the mining schedule or an egg or brood manipulation may resolve the conflict. Bridger Coal Company has successfully mitigated conflicts with 3 raptor species. A ferruginous hawk (Buteo regalis) nest with brood was successfully relocated across a pit. Red-tailed hawk (B. jamaicensis) egg clutches were removed from 2 highwall nests and transported in a portable incubator to a commercial raptor propagator where they were hatched, fed and conspecifically imprinted until achieving self-thermoregulation. All chicks were returned to the mine and successfully placed into foster nests. A metal artificial nest ledge for a prairie falcon (Falco mexicanus) was constructed in a cliff and a traditional nesting ledge rendered inaccessible. The falcon pair successfully nested in the artificial ledge.

  15. ALGEBRAIC Zd-ACTIONS OF ENTROPY RANK ONE MANFRED EINSIEDLER AND DOUGLAS LIND

    E-Print Network [OSTI]

    Lind, Douglas A.

    ALGEBRAIC Zd-ACTIONS OF ENTROPY RANK ONE MANFRED EINSIEDLER AND DOUGLAS LIND AND DOUGLAS LIND 1. Introduction An algebraic Zd-action is an action of Zd

  16. MINING ENGINEERING You can count on our mining engineering co-op interns for anY

    E-Print Network [OSTI]

    Skorobogatiy, Maksim

    MINING ENGINEERING You can count on our mining engineering co-op interns for anY projects involving mine development, major excavations or site rehabilitation. + our interns have much to offer You! internships allow students to become familiar with the day-to-day operations of a mine. co-op interns can work

  17. Querying Multiple Sets of Discovered Rules Rule mining is an important data mining task that has been

    E-Print Network [OSTI]

    Liu, Bing

    operating on multiple rulebases because many practically important data mining queries naturally requireQuerying Multiple Sets of Discovered Rules ABSTRACT Rule mining is an important data mining task querying of multiple data mining rulebases to retrieve interesting rules. In this paper, we propose a new

  18. Rehabilitation of the international coal mines

    E-Print Network [OSTI]

    Cote?, Homer.

    different here than elsewhere, hut to describe, by simple mining methods, step by step the reopening of old abandoned mines from examination to successful operation of the property. TOPOGRAPHY • The Eagle Pass coal field is a small field, tri­ angular... shaped, outcropping in Maverick Co unty north­ west of Eagle Pass, Texas, from which town i t takes its name ana where al l of the mines are located. The greater part of the Eagle Pass coal bed l ies across the Rio Grande River in Mexico and has been...

  19. Method of locating underground mines fires

    DOE Patents [OSTI]

    Laage, Linneas (Eagam, MN); Pomroy, William (St. Paul, MN)

    1992-01-01T23:59:59.000Z

    An improved method of locating an underground mine fire by comparing the pattern of measured combustion product arrival times at detector locations with a real time computer-generated array of simulated patterns. A number of electronic fire detection devices are linked thru telemetry to a control station on the surface. The mine's ventilation is modeled on a digital computer using network analysis software. The time reguired to locate a fire consists of the time required to model the mines' ventilation, generate the arrival time array, scan the array, and to match measured arrival time patterns to the simulated patterns.

  20. Remediation of inactive mining and milling sites

    SciTech Connect (OSTI)

    Mao, H.; Pan, Y.; Li, R.

    1993-12-31T23:59:59.000Z

    The presentation introduces relevant environment remediation standards and describes some measures of engineering remedied for inactive mines and mills. Since 1990, the remediation of decommissioned nuclear facilities has obtained fixed financial aid from state government, part of which is offered to inactive mines and mills. Considering the environmental characteristics of Chinese uranium mines and mills, the major task of decommissioning is to prevent radon release, and keep surface water and underground water from contamination. In order to control the rate of radon release effectively, the authors` research institutes conducted a series of experiments on the covers of tailings with two kinds of different material, clay and concrete.

  1. Mining metrics for buried treasure

    E-Print Network [OSTI]

    D. A. Konkowski; T. M. Helliwell

    2005-01-07T23:59:59.000Z

    The same but different: That might describe two metrics. On the surface CLASSI may show two metrics are locally equivalent, but buried beneath one may be a wealth of further structure. This was beautifully described in a paper by M.A.H. MacCallum in 1998. Here I will illustrate the effect with two flat metrics -- one describing ordinary Minkowski spacetime and the other describing a three-parameter family of Gal'tsov-Letelier-Tod spacetimes. I will dig out the beautiful hidden classical singularity structure of the latter (a structure first noticed by Tod in 1994) and then show how quantum considerations can illuminate the riches. I will then discuss how quantum structure can help us understand classical singularities and metric parameters in a variety of exact solutions mined from the Exact Solutions book.

  2. Mercury Methylation in Mine Wastes Collected from Abandoned Mercury Mines in the USA

    SciTech Connect (OSTI)

    Gray, John E. (U.S. Geological Survey); Hines, Mark E. (Massachusetts, Univ Of); Biester, Harald (Heidelberg College); Lasorsa, Brenda K. (BATTELLE (PACIFIC NW LAB))

    2003-05-01T23:59:59.000Z

    Mercury mines contain highly elevated Hg contents, but more problematic environmentally are elemental Hg and soluble Hg salts produced during ore retorting that remain in wastes at mine sites. Under certain conditions, these inorganic Hg compounds convert to bioavailable, highly toxic organic Hg forms. Speciation and transformation of Hg was studied in wastes collected from abandoned Hg mines at McDermitt, NV, and Terlingua, TX, which are moderate size on an international scale and produced about 10,000 and 5,000 t of elemental Hg, respectively. In waste samples, we measured total Hg and methyl-Hg contents, identified various Hg compounds using Hg-thermo-desorption pyrolysis, and determined rates of Hg methylation and methyl-Hg demethylation using isotopic-tracer methods. Pyrolysis analysis of mine wastes showed variable amounts of cinnabar, metacinnabar, Hg salts, elemental Hg, and elemental Hg sorbed onto particulates such as clay and Fe-oxides. Mine wastes with the highest methyl-Hg contents correspond to those with elemental Hg and particulate-sorbed elemental Hg, and also produced the highest laboratory-estimated potential Hg methylation rates, as much as 4.8%/day. Samples containing dominantly cinnabar showed little or no Hg methylation. Mine wastes with high methyl-Hg contents generally showed low methyl-Hg demethylation, suggesting that Hg methylation was dominant. Both mines are located in semiarid climates, and during this study, streambeds below the mines were dry. Total Hg contents in stream sediment collected below the mines show significant dilution, and methyl-Hg contents were typically below the limit of determination. Methylation of Hg downstream from Hg mines is probably lower in arid climates due to lack of mine-water runoff and lower microbial activity. The correspondence of mine wastes containing elemental Hg and high methyl-Hg contents suggests that Hg0 oxidizes to Hg2+, which is subsequently bioavailable for microbial Hg methylation.

  3. Mine-induced sinkholes over the U.S. Strategic Petroleum Reserve (SPR) storge facility

    SciTech Connect (OSTI)

    Neal, J.T.; Bauer, S.J.; Ehgartner, B.L.

    1995-12-31T23:59:59.000Z

    The initial sinkhole at the Weeks Island SPR site that was first observed in May 1992 gradually enlarged and deepened, concurrent with the increasing dissolution of salt over the mined oil storage area below. Beginning in 1994 and continuing to the present, the injection of saturated brine directly into the sinkhole throat some 76 in (250 ft) beneath the surface essentially arrested further dissolution, buying time to make adequate preparation for the safe and orderly transfer of crude oil to other storage facilities. A second and much smaller sinkhole was first noticed in early 1995 on an opposite edge of the SPR mine, but with a very similar geological and mine mechanics setting. Both sinkholes occur where the edges of upper-152 in (-500 ft) and lower-213 m (-700 ft) storage levels are nearly vertically aligned. Such coincidence maximizes the tensional stress development leading to fracturing in the salt. Such cracking takes years to develop, perhaps 20 or more. The cracks then become flowpaths for brine incursion, wherein after time it is released into mined openings. Undersaturated ground water gradually enlarges the cracks in salt, leading to further dissolution and eventual collapse of the overlying sand to form sinkholes. Other geologic conditions may have been secondary factors in controlling both mining extent and sinkhole location. An en echelon alignment of sinkholes over other mine edges has been observed. Thus most likely areas of future occurrence at Weeks Island are adjacent to the existing sinkholes; surface inspections are now concentrated at those locations. Although neither timing nor location is predictable with precision, the study of numerous sinkholes elsewhere shows that progression is inevitable, provided that relevant conditions and enough time exists for development. These principles should provide mine designers and operators the knowledge to minimize the occurrence of sinkholes, and to plan for their progression when they occur.

  4. Mining User Groups in the Social News Website: Community Detection in Bipartite Networks.

    E-Print Network [OSTI]

    YANG, HO-SHUN

    2012-01-01T23:59:59.000Z

    Mining user behaviors with indirectmore informative for the mining purpose. On the other hand,of California Los Angeles Mining User Groups in the Social

  5. artisans mining columbite-tantalite: Topics by E-print Network

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

    Mines Using Coal Combustion By-Products Engineering Websites Summary: subject headings: Remedial action; Acid mine water; Mines; Coals; Recycling; Maryland; Fly ashRemediation of...

  6. Restoration Potential of a Mining-Impacted Urban Stream: Horseshoe Branch of Lion Creek, Oakland, CA

    E-Print Network [OSTI]

    Hackenjos, Bethany; Woelfle-Erskine, Cleo; Wood, Jacob

    2010-01-01T23:59:59.000Z

    revenues to remediate mining impacts. State and regionalRestoration Potential of a Mining-Impacted Urban Stream:have addressed the impacts of mining, although hundreds of

  7. Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality

    E-Print Network [OSTI]

    Hakkoymaz, Huseyin

    2010-01-01T23:59:59.000Z

    1998, pp. 580-592. F.C. Payton, “Data mining in healthapplications,” Data mining: opportunities and challenges,Techniques and Experience in Mining RemotelySensed Satellite

  8. Do Investors Forecast Fat Firms? Evidence from the Gold Mining Industry

    E-Print Network [OSTI]

    Borenstein, Severin; Farrell, Joseph

    2006-01-01T23:59:59.000Z

    Fat Firms? Evidence from the Gold Mining Industry Abstract:market valuations of gold mining companies vary with goldstock values of many gold mining companies are concave in

  9. Gold Mining Impacts on Food Chain Mercury in Northwestern Sierra Nevada Streams

    E-Print Network [OSTI]

    Slotton, Darell G; Ayers, Shaun M; Reuter, John E; Goldman, Charles R

    1995-01-01T23:59:59.000Z

    KEYWORDS,' mercury, gold, mining, trout, invertebrates,GOLD MINING IMPACTS ON FOOD CHAIN MERCURY IN NORTHWESTERNduring the course of gold mining in the Gold Rush period of

  10. Mass spectrometry-guided genome mining of peptidic and glycosylated microbial natural products

    E-Print Network [OSTI]

    Kersten, Roland David

    mass spectrometry-guided genome mining approach for naturalBioactivity-guided genome mining identifies the lomaiviticinspectrometry and genome mining via short sequence tagging

  11. The production of consumption: addressing the impact of mineral mining on tuberculosis in southern Africa

    E-Print Network [OSTI]

    Basu, Sanjay; Stuckler, David; Gonsalves, Gregg; Lurie, Mark

    2009-01-01T23:59:59.000Z

    and Rights Alliance: The Mining Sector, Tuberculosis andthe impact of mineral mining on tuberculosis in southernbetween mineral mining activities and tuberculosis incidence

  12. Image/Time Series Mining Algorithms: Applications to Developmental Biology, Document Processing and Data Streams

    E-Print Network [OSTI]

    Tataw, Oben Moses

    2013-01-01T23:59:59.000Z

    International Conference on Data Mining (2001). Khairy, K. ,and Eamonn Keogh (2011). Mining Historical Documents forWang, E. J. Keogh. Querying and mining of time series data.

  13. Kinetics of Pyrrhotite Oxidation in Seawater: Implications for Mining Seafloor Hotsprings

    E-Print Network [OSTI]

    Romano, Gina Yolanda

    2012-01-01T23:59:59.000Z

    implications for seafloor mining, University of California,J. , 2010, Deep- sea mining of seafloor massive sulfides,in Seawater: Implications for Mining Seafloor Hotsprings A

  14. Arctic vegetation damage by winter-generated coal mining pollution released upon thawing

    SciTech Connect (OSTI)

    Bo Elberling; Jens Soendergaard; Louise A. Jensen; Lea B. Schmidt; Birger U. Hansen; Gert Asmund; Tonci BalicZunic; Joergen Hollesen; Susanne Hanson; Per-Erik Jansson; Thomas Friborg [University of Copenhagen, Copenhagen (Denmark). Institute of Geography and Geology

    2007-04-01T23:59:59.000Z

    Acid mine drainage (known as AMD) is a well-known environmental problem resulting from the oxidation of sulfidic mine waste. In cold regions, AMD is often considered limited by low temperatures most of the year and observed environmental impact is related to pollution generated during the warm summer period. Here we show that heat generation within an oxidizing, sulfidic, coal-mining waste-rock pile in Svalbard (Arctic Norway) (78{sup o}N) is high enough to keep the pile warm (roughly 5{sup o}C throughout the year) despite mean annual air temperatures below -5{sup o}C. Consequently, weathering processes continue year-round within the waste-rock pile which is characterised as a mixture of coal and a siltstone-mudstone. During the winter, weathering products accumulate within the pile because of a frozen outer layer on the pile and are released as a flush within 2 weeks of soil thawing in the spring. Consequently, spring runoff water contains elevated concentrations of metals. Several of these metals are taken up and accumulated in plants where they reach phytotoxic levels, including aluminum and manganese. Laboratory experiments document that uptake of Al and Mn in native plant species is highly correlated with dissolved concentrations. Therefore, future remedial actions to control the adverse environmental impacts of cold region coal-mining need to pay more attention to winter processes including AMD generation and accumulation of weathering products. 34 refs., 3 figs., 2 tabs.

  15. Sealing abandoned mines with treated flyash kills two birds with one stone

    SciTech Connect (OSTI)

    Giacinto, J.F.; Rafalko, L.G.; Petzrick, P. [Environmental Resources Management Inc. (United States)

    2007-02-15T23:59:59.000Z

    Environmentally benign disposal of coal combustion products/by-products (CCPs) such as flyash and bottom ash has been a problem since the first coal-fired power plant went on-line. In recent years, ways have been developed to recycle CCPs into useful commercial products like bricks and roadbase. This article describes an innovative State of Maryland program that is putting CCPs to yet another use: stabilizing abandoned mines to permanently sequester acids and harmful metals. As engineering consultants to the State's Power Plant Research Project (PPRP), Environmental Resources Management (ERM) Inc. has conducted several projects to evaluate and demonstrate the beneficial use of CCPs for deep mine stabilization. These are several hundred abandoned underground mines in western Maryland and several thousand across the Mid-Atlantic Highlands and their proximity to coal-fired plants makes it cost-effective to transport CCPs via existing railroads and highways. 8 figs.

  16. Surface Coal Mining and Reclamation (Indiana)

    Broader source: Energy.gov [DOE]

    The Indiana Department of Natural Resources implements and enforces the federal Surface Mining Control and Reclamation Act of 1977, as well as a statewide program to protect society and the...

  17. Nonmetallic Mining Reclamation; Oil and Gas (Wisconsin)

    Broader source: Energy.gov [DOE]

    These regulations describe standards relevant to reclamation that must be followed both during and after the completion of mining in a given area. An operator who wishes to engage in nonmetallic...

  18. Georgia Surface Mining Act of 1968 (Georgia)

    Broader source: Energy.gov [DOE]

    This law regulates all surface mining in Georgia, including the coastal zone. It includes provisions to “advance the protection of fish and wildlife and the protection and restoration of land,...

  19. Analysis of Bitcoin Pooled Mining Reward Systems

    E-Print Network [OSTI]

    Rosenfeld, Meni

    2011-01-01T23:59:59.000Z

    In this paper we describe the various scoring systems used to calculate rewards of participants in Bitcoin pooled mining, explain the problems each were designed to solve and analyze their respective advantages and disadvantages.

  20. New approaches to weighted frequent pattern mining

    E-Print Network [OSTI]

    Yun, Unil

    2007-04-25T23:59:59.000Z

    Researchers have proposed frequent pattern mining algorithms that are more efficient than previous algorithms and generate fewer but more important patterns. Many techniques such as depth first/breadth first search, use of tree/other data structures...

  1. Equipment Selection for Surface Mining: A Review

    E-Print Network [OSTI]

    2013-07-19T23:59:59.000Z

    extract and haul mined material, including both waste and ore, over the lifetime .... tions where primary excavations occur and stockpiles where reserve material is ... with respect to period demand, productivity balancing requirements between

  2. Coal Mining Regulatory and Reclamation Act (Massachusetts)

    Broader source: Energy.gov [DOE]

    These regulations aim to ensure that any coal mining or extraction will be conducted in a manner that will not significantly damage the environment or area of land affected. The Department of...

  3. civil engineering College of Engineering and Mines

    E-Print Network [OSTI]

    Hartman, Chris

    civil engineering College of Engineering and Mines Department of Civil and Environmental's degree program can include courses in environmental engineering, engineering management and other areas. An advanced degree in environmental engineering administered within the civil en- gineering department

  4. Parallel Data Mining for Association Rules

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    to businesses, such as cus­ tomer buying patterns, shelving criterion in supermarkets and stock trends. Many information on customer buying patterns, shelving criterion in supermarkets, stock trends, etc. Data mining

  5. Fuelcell-Hybrid Mine loader (LHD)

    SciTech Connect (OSTI)

    James L Dippo; Tim Erikson; Kris Hess

    2009-07-10T23:59:59.000Z

    The fuel cell hybrid mine loader project, sponsored by a government-industry consortium, was implemented to determine the viability of proton exchange membrane (PEM) fuel cells in underground mining applications. The Department of Energy (DOE) sponsored this project with cost-share support from industry. The project had three main goals: (1) to develop a mine loader powered by a fuel cell, (2) to develop associated metal-hydride storage and refueling systems, and (3) to demonstrate the fuel cell hybrid loader in an underground mine in Nevada. The investigation of a zero-emissions fuel cell power plant, the safe storage of hydrogen, worker health advantages (over the negative health effects associated with exposure to diesel emissions), and lower operating costs are all key objectives for this project.

  6. One-dimensional Brownian particle systems with rank dependent drifts

    E-Print Network [OSTI]

    Pal, Soumik

    2007-01-01T23:59:59.000Z

    We study interacting systems of linear Brownian motions whose drift vector at every time point is determined by the relative ranks of the coordinate processes at that time. Our main objective has been to study the long range behavior of the spacings between the particles in increasing order. For finite systems, we characterize drifts for which the spacing system remains stable, and show its convergence to a unique stationary joint distribution given by independent exponential distributions with varying means. We also study one particular countably infinite system, where only the minimum Brownian particle gets a constant upward drift, and prove that independent and identically distributed exponential spacings remain stationary under the dynamics of such a process. Some related conjectures in this direction have also been discussed.

  7. Ranking of sabotage/tampering avoidance technology alternatives

    SciTech Connect (OSTI)

    Andrews, W.B.; Tabatabai, A.S.; Powers, T.B.; Daling, P.M.; Fecht, B.A.; Gore, B.F.; Overcast, T.D.; Rankin, W.R.; Schreiber, R.E.; Tawil, J.J.

    1986-01-01T23:59:59.000Z

    Pacific Northwest Laboratory conducted a study to evaluate alternatives to the design and operation of nuclear power plants, emphasizing a reduction of their vulnerability to sabotage. Estimates of core melt accident frequency during normal operations and from sabotage/tampering events were used to rank the alternatives. Core melt frequency for normal operations was estimated using sensitivity analysis of results of probabilistic risk assessments. Core melt frequency for sabotage/tampering was estimated by developing a model based on probabilistic risk analyses, historic data, engineering judgment, and safeguards analyses of plant locations where core melt events could be initiated. Results indicate the most effective alternatives focus on large areas of the plant, increase safety system redundancy, and reduce reliance on single locations for mitigation of transients. Less effective options focus on specific areas of the plant, reduce reliance on some plant areas for safe shutdown, and focus on less vulnerable targets.

  8. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. Mcvay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2004-02-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The primary objectives for this reporting period were to construct a coal geological model for reservoir analysis and to continue modeling studies of CO{sub 2} sequestration performance in coalbed methane reservoirs under various operational conditions. Detailed correlation of coal zones is important for reservoir analysis and modeling. Therefore, we interpreted and created isopleth maps of coal occurrences, and correlated individual coal seams within the coal bearing subdivisions of the Wilcox Group--the Hooper, Simsboro and Calvert Bluff formations. Preliminary modeling studies were run to determine if gravity effects would affect the performance of CO{sub 2} sequestration in coalbed methane reservoirs. Results indicated that gravity could adversely affect sweep efficiency and, thus, volumes of CO{sub 2} sequestered and methane produced in thick, vertically continuous coals. Preliminary modeling studies were also run to determine the effect of injection gas composition on sequestration in low-rank coalbeds. Injected gas composition was varied from pure CO{sub 2} to pure N{sub 2}, and results show that increasing N{sub 2} content degrades CO{sub 2} sequestration and methane production performance. We have reached a Data Exchange Agreement with Anadarko Petroleum Corporation. We are currently incorporating the Anadarko data into our work, and expect these data to greatly enhance the accuracy and value of our studies.

  9. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2006-03-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. In this reporting period we revised all of the economic calculations, participated in technology transfer of project results, and began working on project closeout tasks in anticipation of the project ending December 31, 2005. In this research, we conducted five separate simulation investigations, or cases. These cases are (1) CO{sub 2} sequestration base case scenarios for 4,000-ft and 6,200-ft depth coal beds in the Lower Calvert Bluff Formation of east-central Texas, (2) sensitivity study of the effects of well spacing on sequestration, (3) sensitivity study of the effects of injection gas composition, (4) sensitivity study of the effects of injection rate, and (5) sensitivity study of the effects of coal dewatering prior to CO{sub 2} injection/sequestration. Results show that, in most cases, revenue from coalbed methane production does not completely offset the costs of CO{sub 2} sequestration in Texas low-rank coals, indicating that CO{sub 2} injection is not economically feasible for the ranges of gas prices and carbon credits investigated. The best economic performance is obtained with flue gas (13% CO{sub 2} - 87% N{sub 2}) injection, as compared to injection of 100% CO{sub 2} and a mixture of 50% CO{sub 2} and 50% N{sub 2}. As part of technology transfer for this project, we presented results at the West Texas Geological Society Fall Symposium in October 2005 and at the COAL-SEQ Forum in November 2005.

  10. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr; Jerry L. Jensen

    2006-05-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to (1) determine the effects of permeability anisotropy on performance of CO{sub 2} sequestration and ECBM production in the Lower Calvert Bluff Formation (LCB) of the Wilcox Group coals in east-central Texas, and (2) begin reservoir and economic analyses of CO{sub 2} sequestration and ECBM production using horizontal wells. To evaluate the effects of permeability anisotropy on CO{sub 2} sequestration and ECBM in LCB coal beds, we conducted deterministic reservoir modeling studies of 100% CO{sub 2} gas injection for the 6,200-ft depth base case (Case 1b) using the most likely values of the reservoir parameters. Simulation results show significant differences in the cumulative volumes of CH{sub 4} produced and CO{sub 2} injected due to permeability anisotropy, depending on the orientation of injection patterns relative to the orientation of permeability anisotropy. This indicates that knowledge of the magnitude and orientation of permeability anisotropy will be an important consideration in the design of CO{sub 2} sequestration and ECBM projects. We continued discussions with Anadarko Petroleum regarding plans for additional coal core acquisition and laboratory work to further characterize Wilcox low-rank coals. As part of the technology transfer for this project, we submitted the paper SPE 100584 for presentation at the 2006 SPE Gas Technology Symposium to be held in Calgary, Alberta, Canada on May 15-18, 2006.

  11. Acoustic resonance for nonmetallic mine detection

    SciTech Connect (OSTI)

    Kercel, S.W.

    1998-04-01T23:59:59.000Z

    The feasibility of acoustic resonance for detection of plastic mines was investigated by researchers at the Oak Ridge National Laboratory`s Instrumentation and Controls Division under an internally funded program. The data reported in this paper suggest that acoustic resonance is not a practical method for mine detection. Representative small plastic anti-personnel mines were tested, and were found to not exhibit detectable acoustic resonances. Also, non-metal objects known to have strong acoustic resonances were tested with a variety of excitation techniques, and no practical non-contact method of exciting a consistently detectable resonance in a buried object was discovered. Some of the experimental data developed in this work may be useful to other researchers seeking a method to detect buried plastic mines. A number of excitation methods and their pitfalls are discussed. Excitation methods that were investigated include swept acoustic, chopped acoustic, wavelet acoustic, and mechanical shaking. Under very contrived conditions, a weak response that could be attributed to acoustic resonance was observed, but it does not appear to be practical as a mine detection feature. Transfer properties of soil were investigated. Impulse responses of several representative plastic mines were investigated. Acoustic leakage coupling, and its implications as a disruptive mechanism were investigated.

  12. Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization

    E-Print Network [OSTI]

    Recht, Ben

    Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization that yield exact solutions. A popular heuristic algorithm replaces the rank function with the nuclear norm provide accurate predictions of the heuristic's performance in non-asymptotic scenarios. I. INTRODUCTION

  13. Determining factors behind the PageRank log-log plot Yana Volkovich

    E-Print Network [OSTI]

    Boucherie, Richard J.

    - tion through a stochastic equation inspired by the original definition of PageRank. Further, we use agreement with experimental data on three different sam- ples of the Web. Keywords PageRank, Power law, Recursive stochastic equations, Re- gular variation, Web graph MSC 2000 90B15, 68P10, 60J80 1. INTRODUCTION

  14. Tenure-Track Faculty (All Ranks) Assistant Professor/Associate Professor/Full Professor

    E-Print Network [OSTI]

    Tenure-Track Faculty (All Ranks) Assistant Professor/Associate Professor/Full Professor Mechanical for both teaching and research are being sought. Candidates for the rank of Assistant Professor should have- and nano-systems, advanced energy technologies, bio-inspired systems and robotics, and plasma science

  15. Preference Learning using the Choquet Integral: The Case of Multipartite Ranking

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    learning methods [48]. While a number of different types of ranking problems have been introducedPreference Learning using the Choquet Integral: The Case of Multipartite Ranking Ali Fallah Tehrani on Fuzzy Systems Abstract We propose a novel method for preference learning or, more specifically, learn

  16. HIGH RANK ELLIPTIC CURVES WITH PRESCRIBED TORSION GROUP OVER QUADRATIC FIELDS

    E-Print Network [OSTI]

    Dujella, Andrej

    HIGH RANK ELLIPTIC CURVES WITH PRESCRIBED TORSION GROUP OVER QUADRATIC FIELDS JULIÁN AGUIRRE for the torsion group of elliptic curves dened over quadratic number elds. We present examples of high rank elliptic curves with given torsion group which give the current records for most of the torsion groups

  17. HEALTH, SAFETY AND ENVIRONMENT MANAGEMENT SYSTEM : A METHOD FOR RANKING IMPACTS IN SMALL AND MEDIUM

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    99-57 HEALTH, SAFETY AND ENVIRONMENT MANAGEMENT SYSTEM : A METHOD FOR RANKING IMPACTS IN SMALL AND MEDIUM ENTERPRISES A. Accorsi', J.P. Pineau, A. Prats l. INERIS, Vemeuil-en-Halatte, France Key words : safety management System, ranking, health, safety, environment ABSTRACT ELF ATOCHEM and INERIS have

  18. ROBUST VIDEO RESTORATION BY JOINT SPARSE AND LOW RANK MATRIX APPROXIMATION

    E-Print Network [OSTI]

    Shen, Zuowei

    ROBUST VIDEO RESTORATION BY JOINT SPARSE AND LOW RANK MATRIX APPROXIMATION HUI JI, SIBIN HUANG, ZUOWEI SHEN, AND YUHONG XU Abstract. This paper presents a new video restoration scheme based domain, we formulate the video restoration problem as a joint sparse and low-rank matrix approximation

  19. Toward a Classification of the Ranks and Border Ranks of All (3,3,3) Trilinear Forms

    E-Print Network [OSTI]

    Allums, Derek

    2011-08-08T23:59:59.000Z

    transformations. Ng?s classification is up to this action. The first step is to move the problem of classification into projective space so we consider P(A?B?C). Note that we can also have ? ? Hom(B?,A?C) or ? ? Hom(C?,A?B) so without loss of generality only...)?b1?c1 +a3?b3?c2 +(?a3)?b2?c3. Proposition .43. R(T ) ? 7,R(T ) = 5. Proof. The naive approach yields an upper bound of 7 for the rank. 33 CHAPTER IV SUMMARY AND CONCLUSIONS Building on Ng?s classification of all ? ? C3?C3?C3 up to the action...

  20. MINING ENGINEERING AT McGILL Bachelor of Engineering in Mining Engineering

    E-Print Network [OSTI]

    Barthelat, Francois

    engineers have a solid foundation in math, chemistry, physics and geology.They enjoy taking research in Quebec, and oil sands mining in northern Alberta.Very importantly, all McGill engineering required courses in math, chemistry, physics, geology and mining. A co-op program, it includes four paid

  1. Mining Likely Properties of Access Control Policies via Association Rule Mining

    E-Print Network [OSTI]

    Xie, Tao

    Mining Likely Properties of Access Control Policies via Association Rule Mining JeeHyun Hwang1 Tao.hu@nist.gov maltunay@fnal.gov Abstract. Access control mechanisms are used to control which princi- pals (such as users Introduction Access control mechanisms are used to control which principals (such as users or processes) have

  2. International Journal of Data Warehousing and Mining, 8(4), 1-21, October-December 2012 1 Copyright 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

    E-Print Network [OSTI]

    Ezeife, Christie

    of IGI Global is prohibited. Keywords: Non-DeterministicFiniteAutomata(NFA),ObjectOrientedMining,WebContentMining, WebDataIntegration,Wrappers INTRODUCTION World Wide Web (WWW) is growing expo- nentially over the years and web documents constitute some of the largest repositories of information (Kosala & Blockeel

  3. Introduction to Bitcoin Mining A Guide For Gamers, Geeks, and Everyone Else

    E-Print Network [OSTI]

    Shamos, Michael I.

    Introduction to Bitcoin Mining A Guide For Gamers, Geeks, and Everyone Else by David R. Sterry;Introduction to Bitcoin Mining Contents Introduction.....................................4 Why Start Mining...........................................................11 Creating New Bitcoins .......................................................12 Mining Hardware

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

    E-Print Network [OSTI]

    Langley, Pat

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

  5. Data Mining Empowers the Generation of a Novel Class of Chromosome-specific DNA Probes

    E-Print Network [OSTI]

    Zeng, Hui

    2012-01-01T23:59:59.000Z

    eds. ), Zeng et al. : Data mining for probes Excerpta330. Zeng et al. : Data mining for probes 31. Fung J, WeierZeng et al. : Data mining for probes Data Mining Empowers

  6. ESF Mine Power Center Platforms

    SciTech Connect (OSTI)

    T.A. Misiak

    2000-02-10T23:59:59.000Z

    The purpose and objective of this analysis is to structurally evaluate the existing Exploratory Studies Facility (ESF) mine power center (MPC) support frames and to design service platforms that will attach to the MPC support frames. This analysis follows the Development Plan titled ''Produce Additional Design for Title 111 Evaluation Report'' (CRWMS M&O 1999a). This analysis satisfies design recommended in the ''Title III Evaluation Report for the Surface and Subsurface Power System'' (CRWMS M&O 1999b, Section 7.6) and concurred with in the ''System Safety Evaluation of Title 111 Evaluation Reports Recommended Work'' (Gwyn 1999, Section 10.1.1). This analysis does not constitute a level-3 deliverable, a level-4 milestone, or a supporting work product. This document is not being prepared in support of the Monitored Geologic Repository (MGR) Site Recommendation (SR), Environmental Impact Statement (EIS), or License Application (LA) and should not be cited as a reference in the MGR SR, EIS, or LA.

  7. Calendar Year 2001 | 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 FuelsNovember 13, 2014 Building America UpdateCX-001638:6 Categorical1 Calendar Year

  8. Calendar Year 2002 | Department of Energy

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

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  9. Calendar Year 2003 | 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 FuelsNovember 13, 2014 Building America UpdateCX-001638:6 Categorical1 Calendar Year23

  10. Calendar Year 2013 | Department of Energy

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

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  11. Calendar Year 2014 | Department of Energy

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

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  12. Ten Year Site Plans | 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 JC3 RSS SeptemberRenewable Energy, U.S. DepartmentTechnology Ten Year Site Plans Ten

  13. Selenium transformation in coal mine spoils: Its environmental impact assessment

    SciTech Connect (OSTI)

    Harness, J.; Atalay, A.; Koll, K.J.; Zhang, H.; Maggon, D.

    1991-12-31T23:59:59.000Z

    The objective of this program was to conduct an environmental impact assessment study for selenium from coal mine spoils. The use of in-situ lysimetry to predict selenium speciation, transformation, and mobility under natural conditions was evaluated. The scope of the study was to construct and test field-scale lysimeter and laboratory mini-column to assess mobility and speciation of selenium in coal mine overburden and soil systems; to conduct soil and groundwater sampling throughout the state of Oklahoma for an overall environmental impact assessment of selenium; and to conduct an in-depth literature review on the solubility, speciation, mobility, and toxicity of selenium from various sources. Groundwater and surface soil samples were also collected from each county in Oklahoma. Data collected from the lysimeter study indicated that selenium in the overburden of the abandoned mine site was mainly found in the selenite form. The amount of selenite found was too low and immobile to be of concern to the environment. The spoil had equilibrated long enough (over 50 years) that most of the soluble forms of selenium have already been lost. Examination of the overburden indicated the presence of pyrite crystals that precipitated over time. The laboratory mini-column study indicated that selenite is quite immobile and remained on the overburden material even after leaching with dilute acid. Data from groundwater samples indicated that based on the current permissible level for selenium in groundwater (0.01 mg Se/L), Oklahoma groundwater is widely contaminated with the element. However, according to the new regulation (0.05 mg Se/L), which is to be promulgated in 1992, only 9 of the 77 counties in the state exceed the limit.

  14. Mining vertical coal seams in France

    SciTech Connect (OSTI)

    Schneiderman, S.J.

    1981-05-01T23:59:59.000Z

    French coal miners in the Lorraine Basin coalfields of Charbonnages de France, work under extremely difficult mining conditions. The coal seams are located in two parallel anticlines dipping to the southwest. On the northwest flanks the coal dips at angles up to 40/sup 0/; on the southeast flanks the coal dips as steep as 90/sup 0/. In addition to the problems associated with steeply dipping coal seams, the coal is often more than 3 meters (10 feet) thick, thus contributing the additional problems that are associated with thick seams. A cut-and-fill mining method is used and production of up to 400 tons per day for a three-shift working face has been achieved. The cut-and-fill mining method employed at Puit Reumaux, rising horizontal rooms with hydraulic stowing, is used in areas of the mine where seam dips exceed 45/sup 0/ and where seam thickness is from 2 to 5 meters (6.5 to 16.5 feet). Hydraulic stowing has many advantages for the Merlebach mine: The coalis located under urbanized areas and is also covered by water-bearing strata with hydraulic sand stowing there is little subsidence, so disturbances to the surface and the aquiferous zones are minimized. Hydraulic sand stowing also helps prevent eating and combustion.

  15. Executive Briefing: Text Mining for Business

    E-Print Network [OSTI]

    Kimbrough, Steven Orla

    available as data. It's huge. Examples: · News stories · Regulatory filings · Patents · The World Wide Web is called Information Retrieval (IR). Aren't Internet search engines the last word on IR? #12;1. State to the table · PageRank algorithm and exploitation of the link structure on the Web · Seeks: "authoritative

  16. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2004-04-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The primary objectives for this reporting period were to construct a coal geological model for reservoir analysis and to continue acquisition of data pertinent to coal characterization that would help in determining the feasibility of carbon dioxide sequestration. Structural analysis and detailed correlation of coal zones are important for reservoir analysis and modeling. Evaluation of existing well logs indicates local structural complexity that complicates interpretations of continuity of the Wilcox Group coal zones. Therefore, we have begun searching for published structural maps for the areas of potential injection CO{sub 2}, near the coal-fired power plants. Preliminary evaluations of data received from Anadarko Petroleum Corporation suggest that coal properties and gas content and chemical composition vary greatly among coal seams. We are assessing the stratigraphic and geographic distributions and the weight of coal samples that Anadarko has provided to select samples for further laboratory analysis. Our goal is to perform additional isotherm analyses with various pure and/or mixed gases to enhance our characterization model. Additionally, we are evaluating opportunities for field determination of permeability with Anadarko, utilizing one of their wells.

  17. Water Management Plans for Surface Coal Mining Operations (North Dakota)

    Broader source: Energy.gov [DOE]

    A water management plan is required for all surface coal mining operations. This plan must be submitted to the State Engineer of the State Water Commission at the same time a surface mining permit...

  18. Texas Surface Coal Mining and Reclamation Act (Texas)

    Broader source: Energy.gov [DOE]

    The Railroad Commission of Texas regulates all surface mining activities for the extraction of coal. The Commission acts with the authority of the Texas Surface Coal Mining and Reclamation Act,...

  19. Mining and Gas and Oil Production (North Dakota)

    Broader source: Energy.gov [DOE]

    This chapter of the North Dakota Code contains provisions for oil, gas, and coal mining and the development of geothermal resources. This chapter addresses claims to mines, licensing and control of...

  20. Texas Uranium Exploration, Surface Mining, and Reclamation Act (Texas)

    Broader source: Energy.gov [DOE]

    The Railroad Commission of Texas is the regulatory authority for uranium surface mining. Law authorizes the Commission to assure that reclamation of mining sites is possible, to protect land owners...