Sample records for mining venture hobson

  1. Physics for All, Art Hobson 1 Millikan Award Lecture, 2006

    E-Print Network [OSTI]

    Hobson, Art

    Physics for All, Art Hobson 1 Millikan Award Lecture, 2006: Physics For All Art Hobson Department of Physics, University of Arkansas, Fayetteville, Arkansas 72701 ahobson@uark.edu Abstract: We physics teachers must broaden our focus from physics for physicists and other scientists to physics for all

  2. Venture Capital Finance

    Broader source: Energy.gov [DOE]

    Plenary III: Project Finance and Investment Venture Capital Finance Brian Baynes, Partner, Flagship Ventures

  3. 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.

  4. Florida Venture Capital Program (Florida)

    Broader source: Energy.gov [DOE]

    The Florida Venture Capital Program provides equity investments and convertible debt instruments to emerging Florida companies and companies locating in Florida with long-term growth potential. ...

  5. LANS Venture Acceleration Fund

    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: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s - 6157Bioenergy » CPO:missionVenture

  6. West Virginia Venture Capital (West Virginia)

    Broader source: Energy.gov [DOE]

    The West Virginia Venture Capital provides investment funds to eligible businesses stimulating economic growth and providing or retaining jobs within the state through qualified venture capital...

  7. Career Advice Venturing into New

    E-Print Network [OSTI]

    Ferrara, Katherine W.

    , then reduce the capital and energy expenditures of production to keep costs below $80 per barrel. Expecting 80Career Advice Venturing into New Ventures Intent on starting a business, Loleta Robinson (who has at the world, what you'll see is the business of science," predicts Judith Kjelstrom, director

  8. Venture Capital Program (North Dakota)

    Broader source: Energy.gov [DOE]

    The Venture Capital Program, provided by the ND Department of Commerce, is an innovative financial program that provides flexible financing through debt and equity investments for new or expanding...

  9. An Introduction to Venture Capital Granite representatives

    E-Print Network [OSTI]

    Anderson, Richard

    May 2006 An Introduction to Venture Capital #12;2 Granite representatives Sam Kingsland ­ Managing;3 Introduction to Granite Ventures Founded in 1992 Granite has 9 investment professionals Over $1B under

  10. Venture Capital Institutions and Venture Capitalists’ Investment Activities: An Empirical Study on China 

    E-Print Network [OSTI]

    Guo, Di

    2010-01-01T23:59:59.000Z

    This thesis explores institutions under which venture capital investment operates in China and whether and how these institutions affect venture capitalists’ (VCs) investment preferences, ex-ante project screening ...

  11. MRI Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:LandownersLuther, Oklahoma:EnergyECO Auger <SmarTurbineMIT-MRI Ventures

  12. Hydrogen Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California:ProjectPrograms | OpenVentures Jump to:

  13. Palomar Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri:EnergyOssian, NewPalisades Park, NewPalomar Ventures Jump to:

  14. Artiman Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy ResourcesInformation Arizona'sin DevelopingArtiman Ventures

  15. Battery Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in Carbon CaptureAtriaPower SystemsRhode Island:Battery Ventures

  16. Independent Directors and Board Control in Venture Finance

    E-Print Network [OSTI]

    Broughman, Brian

    2008-01-01T23:59:59.000Z

    of venture capital finance. Journal of Law, Economics, andventures. Journal of Finance 60, 2513-2549. Dewatripont,venture capital. Journal of Finance 50, Grossman, S. , Hart,

  17. A Study of Publish/Subscribe Systems for Real-Time Grid Monitoring Chenxi Huang, Peter R. Hobson, Gareth A. Taylor

    E-Print Network [OSTI]

    Taylor, Gary

    monitoring is a distributed soft real-time monitoring system. Most of the data for monitoring should1 A Study of Publish/Subscribe Systems for Real-Time Grid Monitoring Chenxi Huang, Peter R. Hobson terms ­ monitoring, real time systems, distributed computing, grid computing, publish/subscribe system I

  18. Corporate Venture Capital (CVC) Seeking Innovation and

    E-Print Network [OSTI]

    , Technology Innovation Program, National Institute of Standards and Technology #12;Corporate Venture Capital, Deputy Director Technology Innovation Program Marc G. Stanley, Director #12;ii Acknowledgments T his policymakers in the role of corporate venture capital (CVC) in technology innovation. The research included

  19. Puna Geothermal Venture Hydrologic Monitoring Program

    SciTech Connect (OSTI)

    None

    1990-04-01T23:59:59.000Z

    This document provides the basis for the Hydrologic Monitoring Program (HMP) for the Puna Geothermal Venture. The HMP is complementary to two additional environmental compliance monitoring programs also being submitted by Puma Geothermal Venture (PGV) for their proposed activities at the site. The other two programs are the Meteorology and Air Quality Monitoring Program (MAQMP) and the Noise Monitoring Program (NMP), being submitted concurrently.

  20. Technology Venture Development Community Partnerships Strategic Initiatives

    E-Print Network [OSTI]

    Technology Venture Development Community Partnerships · Strategic Initiatives · Faculty Outreach) 587-3836 Technology Commercialization Office (TCO) Intellectual Property Protection · Technology and Start the Commercialization Process www.TeCh venTUreS.UTAh.eDU Technology commercialization starts

  1. Designing the organizational structure for an entrepreneurial venture

    E-Print Network [OSTI]

    Martinez Delgado, Juan Carlos

    2010-01-01T23:59:59.000Z

    BS Grupo is a Peruvian entrepreneurial venture begun in 2000. The company has grown relatively fast, becoming a leading training provider in Peru. The venture delivers high level and specialized training services in the ...

  2. Lab seeks venture acceleration initiative partners

    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: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your Home asLCLS ExperimentalFiveVenture Acceleration FundVenture

  3. Venture Global Calcasieu Pass, LLC- (Formerly Venture Global LNG, LLC)- 14-88-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on May 13, 2014, by Venture Global LNG, LLC (VGP) requesting long-term, multi-contract authority to export (in addition...

  4. 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

  5. Technology Venture Development Community Partnerships Strategic Initiatives

    E-Print Network [OSTI]

    Technology Venture Development Community Partnerships · Strategic Initiatives · Faculty Outreach) 587-3836 Technology Commercialization Office (TCO) Intellectual Property Protection · Technology) 585-3844 INTRODUCTION www.TeCh venTUreS.UTAh.eDUwww.TeCh venTUreS.UTAh.eDU Technology

  6. LNG ventures raise economic, technical, partnership issues

    SciTech Connect (OSTI)

    Acord, H.K. [Mobil Oil Corp., Fairfax, VA (United States)

    1995-07-03T23:59:59.000Z

    The author feels that natural gas will remain a competitive energy alternative and the preferred fuel for many residential and industrial customers around the globe. The article attempts to explain where liquefied natural gas will fit into the global picture. The paper discusses the growth in the Asia-Pacific region; the complex interactions in a LNG project involving buyers, sellers, governments, financial institutions, and shipping companies; the cost of development of such projects; and the elements of a LNG venture.

  7. Venture Capital Fund Performance and the IPO Market

    E-Print Network [OSTI]

    McKenzie, Michael; Janeway, William

    2008-01-01T23:59:59.000Z

    concluding comments. I. Literature Survey The principal source of venture investment data is a commercial database maintained by the Venture Economics5 (VE hereafter) unit of Thompson Financial group. This database contains aggregate information... 5 Formerly known as the Venture eXpert database. The authors would like to thank Thompson Reuters for providing access to this database. 6 information about the performance of private equity investing using data on the returns to individual...

  8. Joint Venture Established Between Russian Weapons Plant And the...

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

    Venture Established Between Russian Weapons Plant And the Largest Dialysis Provider in the U.S. | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS...

  9. Solar Array Ventures Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, New York:SiG26588°,SocorromercurySolaire Direct NameVentures

  10. Lab seeks ideas for Venture Acceleration Fund

    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: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your Home asLCLS ExperimentalFiveVenture Acceleration Fund ideas

  11. Lab seeks ideas for venture acceleration fund

    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: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your Home asLCLS ExperimentalFiveVenture Acceleration Fund

  12. Venture Acceleration Fund now accepting 2012 applications

    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 Maps1 - USAFof EnergyVendor InformationVenture

  13. Pangaea Ventures Ltd (Canada) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri:EnergyOssian, NewPalisades Park, NewPalomarPangaea Ventures Ltd

  14. El Dorado Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest, Illinois:Edinburgh University akaCajon,Cerrito,Ventures Place:

  15. Applied Ventures LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricInc JumpApplied Ventures

  16. Arch Venture Partners (Washington) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricIncAboutAquilaArch Venture

  17. Technology Ventures Corporation | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern ILSunseekerTallahatchie ValleyInnovationTechnology Ventures

  18. Clear Power Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CER esDatasetCity ofClarkEnergy - QPower Ventures Jump

  19. Foothills Energy Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdfFillmoreGabbs Valley Area(Sasada,Foothills Energy Ventures

  20. Investment performance of life-science venture capital investment funds, persistence, and subsector analysis

    E-Print Network [OSTI]

    Behrens, Jeffrey S

    2007-01-01T23:59:59.000Z

    Venture capital investment performance data and performance attribution are not typically published. Venture investors articulate (and sell to LPs) conflicting strategies; the popular business literature and culture is ...

  1. Ventures in science status report, Summer 1992

    SciTech Connect (OSTI)

    Not Available

    1992-11-01T23:59:59.000Z

    The Ventures in Science summer program is directed towards students who are from underrepresented minority groups in mathematics and science professions. The target group of 40 was drawn from eligible students who will be entering high school freshman in the fall of 1992. 450 students applied. The theme for the summer is Chicago as an Ecosystem. The students are instructed in integrated math and science (2 hours), English/ESL (1 1/2 hrs.), counseling (1 hr.) and, physical education (1 hr.) each day four days a week. Integrated math and science are team taught. Parents are invited to participate in two workshops that will be presented based on their input. Parents may also visit the program at any time and participate in any field trip.

  2. 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...

  3. Small Business Venture Capital Tax Credit Program (Manitoba, Canada)

    Broader source: Energy.gov [DOE]

    The Small Business Venture Capital Tax Credit Program (SBVCTC) assists eligible small corporations to issue new equity to primarily new investors. The small corporation will be able to issue from ...

  4. A collaborative research venture between the minerals industry and

    E-Print Network [OSTI]

    Michelson, David G.

    A collaborative research venture between the minerals industry and The University of British Columbia MDRUMINERAL DEPOSIT RESEARCH UNIT To increase the understanding of mineral deposits and highly trained geologists for employment in the minerals industry. Mission Vision MDRU

  5. United States -- Mexican joint ventures: A case history approach

    SciTech Connect (OSTI)

    Moore, N.L.; Chidester, R.J.; Hughes, K.R.; Fowler, R.A.

    1993-03-01T23:59:59.000Z

    Because the Mexican government has encouraged investment in Mexico by increasing the percentage of ownership of a Mexican business that a US company can hold, joint ventures are more attractive now than they had been in the past. This study provides preliminary information for US renewable energy companies who are interested in forming a joint venture with a Mexican company. This report is not intended to be a complete reference but does identifies a number of important factors that should be observed when forming a Mexican joint venture: (1)Successful joint ventures achieve the goals of each partner. (2)It is essential that all parties agree to the allocation of responsibilities. (3)Put everything in writing. (4)Research in depth the country or countries in which you are considering doing business.

  6. Lasting social impact : Community Development Venture Capital investing

    E-Print Network [OSTI]

    Silberberg, Hattie Paige

    2008-01-01T23:59:59.000Z

    Community Development Venture Capital Funds (CDVC) funds are an emerging group of Community Development Financial Institutions, that make equity investments in businesses in economically distressed areas. As equity investors, ...

  7. 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.

  8. 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...

  9. american-polish joint venture: Topics by E-print Network

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

    337 389 494 In 1977, 175 joint fishing ventures with the participation-215. In 1981,193 joint ventures with the par- ticipation of Japanese capital were operating in 47 nations...

  10. Venture Global Calcasieu Pass, LLC- FE Dkt. No.- 15-25-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed February 9, 2015, by Venture Global Calcasieu Pass, LLC (Venture Global), seeking a long-term multi-contract...

  11. Technology Venturing and Innovation Management The MSc programme Industrial Engineering and Management (IEM) has four

    E-Print Network [OSTI]

    Twente, Universiteit

    Technology Venturing and Innovation Management The MSc programme Industrial Engineering. One of the topics that IEM students can focus on is Technology Venturing en Innovation Management & Organization of Technology Innovation (191810840), or b) Organisation, Technology & Innovation (201000088) n

  12. Venture Capital and private equity in India : systems analysis and development framework

    E-Print Network [OSTI]

    Surineni, Shravan Kumar

    2012-01-01T23:59:59.000Z

    Venture Capital (VC) has been an important driver of innovation, entrepreneurship and economic growth in the U.S. and around the world for the past few decades. The astounding success of Venture Capital prompted various ...

  13. 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

  14. Startup valuation by venture capitalists: an empirical study Tarek Miloud*, Arild Aspelund and Mathieu Cabrol

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    a supplementary method to value an early-stage new venture when extant valuation methods fail to yield consistent

  15. 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

  16. 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 . . . . . . . . .

  17. University Venture Development Fund Transforming today's research and development into tomorrow's businesses

    E-Print Network [OSTI]

    Bertini, Robert L.

    University Venture Development Fund Transforming today's research and development into tomorrow: University Venture Development Fund P.O. Box 243 Portland, OR 97207 Phone (503) 725-4911 It is highly this process. Thank you for supporting the University Venture Development Fund! PDX_DOCS:401207.2 [33137

  18. 2014 RICE ALLIANCE ENERGY & CLEAN TECHNOLOGY VENTURE FORUM PARTICIPATING SPEAKERS & INVESTORS

    E-Print Network [OSTI]

    2014 RICE ALLIANCE ENERGY & CLEAN TECHNOLOGY VENTURE FORUM PARTICIPATING SPEAKERS & INVESTORS Louis for full-scale commercialization. #12;2014 RICE ALLIANCE ENERGY & CLEAN TECHNOLOGY VENTURE FORUM Albanese Investment Manager Louis Albanese is an investment manager at Saudi Aramco Energy Ventures (SAEV

  19. US policy in the Balkans: A Hobson`s choice

    SciTech Connect (OSTI)

    Blank, S.J.; Johnson, W.T.; Tilford, E.H.

    1995-08-28T23:59:59.000Z

    At this writing, the strategic balance may have shifted in the ongoing war in the former Yugoslavia, and the region could be on the verge of a settlement. But, the window of opportunity may be fleeting, and the failures and frustrations of the past four years temper any optimism that conflict in the former Yugoslavia will end quickly or completely. If this opening passes without an end to the fighting, the United States may have to reassess its fundamental policy objectives-and the ways and means to achieve them-if peace is to be effected in the Balkans. The intent of this report, therefore, is to analyze and assess existing policies, to identify any conflicts or contradictions that may stymie U.S. efforts to bring about a peaceful resolution of the crisis, and to offer potential solutions. The report does not offer an ambitious criticism of policy or an expert`s solution to an intractable problem. Its more modest goal is to examine current policy within a context that fits Bosnia into the larger pattern of U.S. interests and policy. In this manner, the report offers a broader framework for the strategic decisions that may face the United States in the not so distant future.

  20. 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

  1. 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

  2. WindPole Ventures LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon:WindPole Ventures LLC Jump to:

  3. Lab announces selection of partner for venture acceleration initiative

    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: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your Home asLCLS Experimental RunProcedureofUWVoluntaryLabVenture

  4. Lab announces selection of Venture Acceleration Fund recipients

    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: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s -Lab Subcontractoractive inVenture

  5. Five companies received funding through new venture acceleration fund

    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: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.New MexicoFinancingProof ofofDownloadsNew venture acceleration

  6. Emergent Ventures India Pvt Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,Energy Information ElkhornElwood,EmcoreEmergent Ventures India

  7. Alvan Blanch Green Fuels joint venture | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan Blanch Green Fuels joint venture Jump to:

  8. I Sol Ventures GmbH | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunan Runhua New Energy DevelopmentListI Sol Ventures GmbH Jump

  9. IFCI Venture Capital Funds Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunan Runhua New Energy DevelopmentListIIFCI Venture Capital Funds

  10. Ten local businesses to receive Venture Acceleration Fund awards

    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: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails Howtemplates 36 inchVenture

  11. Strategic alliance announcements and new venture stock market returns: signaling and resource-based perspectives on the effects of partner firm, new venture firm, and alliance characteristics 

    E-Print Network [OSTI]

    Holmes Jr, Robert Michael

    2009-05-15T23:59:59.000Z

    Firms form marketing and technology alliances to access other firms’ resources, and these alliances act as signals to investors. Investors use these signals to adjust expectations about new venture performance prospects, but our understanding...

  12. Trends in U.S. Venture Capital Investments Related to Energy: 1980-2007

    SciTech Connect (OSTI)

    Dooley, James J.

    2008-10-10T23:59:59.000Z

    This report documents trends in U.S. venture capital investments over the period 1980-2008. Particular attention is given to U.S. venture capital investments for “internet-specific”, biotechnology, and energy / industrial sectors over the period 1980-2007. During the early 1980s, U.S. venture capital investments in the energy / industrial area accounted for more than 20% of all venture capital investments. However subsequent periods of low energy prices and the emergence of fast growing new industries like computers (both hardware and software), biotechnology and the Internet quickly reduced the priority accorded to energy / industrial investments as by 2000 these investments accounted for only 1% of the $119 billion dollars invested that year by the U.S. venture capital community. The significant increase in the real price of oil that began in 2003-2004 correlates with renewed interest and increased investment by the venture capital community in energy / industrial investment opportunities. Venture capital investments in 2007 for the energy / industrial sector accounted for $3 billion or slightly more than 10% of all venture capital invested that year.

  13. TIP Proposal Preparation Kit Exhibit 4. The NIST-1022A Form, "Other Joint Venture Members".

    E-Print Network [OSTI]

    Magee, Joseph W.

    TIP Proposal Preparation Kit 2010 61 Exhibit 4. The NIST-1022A Form, "Other Joint Venture Members to identify specific information on each joint venture member (exclud- ing the organization submitting in the organization to be contacted regarding technical portion of the proposal), and Congressional District (home

  14. 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

  15. 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

  16. Three dimensional neutronics calculations for the TAMU Nuclear Science Center Triga reactor using BOLD VENTURE

    E-Print Network [OSTI]

    Yupari, Ricardo

    1985-01-01T23:59:59.000Z

    using the computer code BOLD VENTURE. BOLD VENTURE is a modular type computational system which was developed by Oak Ridge National Laborator y for nuclear r eactor analysis. VENTURE is the neutronics module which implements a f inite...-dif'ference solution of the multigroup diffusion equations in 3-D geometry. The computer code was loaded and compiled on the TAMU AMDAHL computer, and sample pr oblems were run in or der to test the performance of each of the computational modules. The effective...

  17. 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

  18. Interaction model of private equity and venture capital developing factors in Chile and Latin America

    E-Print Network [OSTI]

    Sevil Esteban, Ángel

    2012-01-01T23:59:59.000Z

    Private equity and venture capital (PE/VC) are efficient resource allocation systems that provide equity capital to selected entrepreneurs, industries or firms that contribute to advance the economic welfare of society. ...

  19. Seeds of growth : the challenges of venture capital in the Australian landscape

    E-Print Network [OSTI]

    Lu, Adrian C. (Adrian Chian)

    2012-01-01T23:59:59.000Z

    The Australian venture capital (VC) industry is young and relatively immature compared to the United States. Even though the first Australian VC firm appeared in 1970, the industry remained a niche with low levels of ...

  20. Agency conflicts in financial contracting with applications to venture capital and CDO markets

    E-Print Network [OSTI]

    Garrison, Kedran

    2005-01-01T23:59:59.000Z

    In these papers I examine efficient financial contracting when incentive problems play a significant role. In the first chapter (joint with Z. Fluck and S. Myers) we focus on the venture capital industry. We build a two-stage ...

  1. Growth strategies : how software start-ups can leverage alliances, acquisitions, IPOs and venture capital

    E-Print Network [OSTI]

    Ybanez, Sergio D

    2007-01-01T23:59:59.000Z

    The identification of the different factors impacting a software start-up company's decision to pursue an alliance, acquisition, IPO or venture capital to sustain growth is the main objective of this research study. First ...

  2. The role of venture capitalists in financing and developing high-technology start-ups

    E-Print Network [OSTI]

    Hsu, David H

    2001-01-01T23:59:59.000Z

    This dissertation addresses the interaction between venture capitalists (VCs) and start-up development through three essays. A common theme is that VCs serve important extra-financial and information brokering roles. In ...

  3. University of Minnesota Start-up Guide Office for Technology Commercialization (OTC) -Venture Center

    E-Print Network [OSTI]

    Amin, S. Massoud

    ....................................................................................... 18 APPENDIX D: UNIVERSITY FUNDING OPPORTUNITIESUniversity of Minnesota Start-up Guide Office for Technology Commercialization (OTC) - Venture on University of Minnesota research Revised September 2010 1000 Westgate Drive: Suite 160 St. Paul, MN 55114 612

  4. AH 18/02/2011 Page 1 of 12 Tech Venture Creation Programme 2011

    E-Print Network [OSTI]

    Humphrys, Mark

    : applicable to new venture creation Legal structures Liability Negligence, Duty of Care Statutory Regulation is Selling? Selling Technology Products Managing your Sales Pipeline Case Material/Practical Exercises: TBC

  5. Venture Capitalists' Decision to Withdraw: The Role of Portfolio Configuration From a Real Options Lens

    E-Print Network [OSTI]

    Li, Yong; Chi, Tailan

    2012-01-01T23:59:59.000Z

    When does a venture capital firm withdraw from an investment project prior to its completion? This study offers a real options view on this decision by examining the contingent effects of portfolio configuration. We explore how project withdrawal...

  6. Nonprofit disease foundation investments in biotechnology companies : an evaluation of venture philanthropy

    E-Print Network [OSTI]

    Fielding, Sarah (Sarah Tabbals)

    2011-01-01T23:59:59.000Z

    In the past decade, the practice of venture philanthropy, defined in this research as the provision of capital by a nonprofit entity to a for-profit company, has become an increasingly common asset allocation strategy for ...

  7. 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

  8. 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...

  9. 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...

  10. 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

  11. Trends in U.S. Venture Capital Investments Related to Energy: 1980 through the Third Quarter of 2010

    SciTech Connect (OSTI)

    Dooley, James J.

    2010-11-08T23:59:59.000Z

    This report documents trends in U.S. venture capital investments over the period 1980 through the third quarter of calendar year 2010 (2010 Q1+Q2+Q3). Particular attention is given to U.S. venture capital investments in the energy/industrial sector over the period 1980-2010 Q1+Q2+Q3 as well as in the more recently created cross-cutting category of CleanTech over the period 1995-2010 Q1+Q2+Q3. During the early 1980s, U.S. venture capital investments in the energy/industrial sector accounted for more than 20% of all venture capital investments. However subsequent periods of low energy prices, the deregulation of large aspects of the energy industry, and the emergence of fast growing new industries like computers (both hardware and software), biotechnology and the Internet quickly reduced the priority accorded to energy/industrial investments. To wit, venture capital investments related to the energy/industrial sector accounted for only 1% of the $132 billion (in real 2010 US$) invested in 2000 by the U.S. venture capital community. The significant increase in the real price of oil that began in 2003-2004 correlates with renewed interest and increased investment by the venture capital community in energy/industrial investment opportunities. Venture capital investments for 2009 for the energy/industrial sector accounted for $2.4 billion or slightly more than 13% of all venture capital invested that year. The total venture capital invested in energy/industrial during the first three quarters of 2010 is close to $2.4 billion accounting for slightly less than 15% of all venture capital investments during the first three quarters of 2010. In 2009, the aggregate amount invested in CleanTech was $2.1 billion (11% of the total US venture capital invested in that lean year) and for the first three quarters of 2010 US venture capital investments in CleanTech have already exceeded $2.8 billion (18% of all US venture capital investments made during the first three quarters of 2010). Between 2004 and 2009, U.S. venture capital investments in energy/industrial as well as CleanTech have more than quadrupled in real terms.

  12. Trends in U.S. Venture Capital Investments Related to Energy: 1980 through the Second Quarter of 2010

    SciTech Connect (OSTI)

    Dooley, James J.

    2010-07-29T23:59:59.000Z

    This report documents trends in U.S. venture capital investments over the period 1980 through the second quarter of calendar year 2010 (2010Q1+Q2). Particular attention is given to U.S. venture capital investments in the energy/industrial sector over the period 1980-2010Q1+Q2 as well as in the more recently created cross-cutting category of CleanTech over the period 1995-2010Q1+Q2. During the early 1980s, U.S. venture capital investments in the energy/industrial sector accounted for more than 20% of all venture capital investments. However subsequent periods of low energy prices, the deregulation of large aspects of the energy industry, and the emergence of fast growing new industries like computers (both hardware and software), biotechnology and the Internet quickly reduced the priority accorded to energy/industrial investments. To wit, venture capital investments related to the energy/industrial sector accounted for only 1% of the $119 billion dollars invested in 2000 by the U.S. venture capital community. The significant increase in the real price of oil that began in 2003-2004 correlates with renewed interest and increased investment by the venture capital community in energy/industrial investment opportunities. Venture capital investments for 2009 for the energy/industrial sector accounted for $2.1 billion or slightly more than 13% of all venture capital invested that year. The total venture capital invested in energy/industrial during the first two quarters of 2010 is close to $1.8 billion accounting for 17% of all venture capital investments during the first two quarters of 2010. In 2009, the aggregate amount invested in CleanTech was $1.8 billion (30% of the total US venture capital invested in that lean year) and for the first two quarters of 2010 US venture capital investments in CleanTech have already exceeded $1.9 billion (19% of all US venture capital investments made during the first half of 2010). Between 2004 and 2009, U.S. venture capital investments in energy/industrial as well as CleanTech have more than quadrupled in real terms.

  13. 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...

  14. 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

  15. Women & early-stage entrepreneurship : examining the impact of the venture funding crisis on male and female-led technology start-ups

    E-Print Network [OSTI]

    Swaminathan, Shuba

    2010-01-01T23:59:59.000Z

    Women in technology have always been a minority and the number of women who are founders of venture backed start-ups is even lower. This research empirically investigates venture capital funding received by entrepreneurs ...

  16. 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...

  17. VENTURERS CC FIXTURES 2013 Sun 21/4 Kilmington away 2:00

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    VENTURERS CC FIXTURES 2013 Sun 21/4 Kilmington away 2:00 Sun 28/4 Bathford home 2:00 Tue 30/4 Novia home 6:00 Wed 1/5 Monkton Combe away 6:00 Wed 8/5 Atworth away 6:00 Thu 9/5 Royal Oak away 6:00 Sun 12/5 Priston away 2:30 Wed 15/5 Kingswood away 6:00 Sun 19/5 Bristol Venturers home 2:00 Thu 23/5 Bradford 39

  18. 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

  19. 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

  20. 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

  1. 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.

  2. 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

  3. 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...

  4. 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...

  5. 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.

  6. 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...

  7. 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...

  8. 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...

  9. 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

  10. Assessing Youth Perceptions and Knowledge of Agriculture: The Impact of Participating in an AgVenture Program

    E-Print Network [OSTI]

    Luckey, Alisa

    2012-07-16T23:59:59.000Z

    Agriculture touches the lives of individuals every day, and some do not even realize it. As a means to educate society, agricultural education programs, such as "AgVenture," have been established to educate youth about the importance of agriculture...

  11. Private equity and venture capital in emerging markets : a case study of Egypt and the MENA region

    E-Print Network [OSTI]

    Ismail, Ayman (Ayman Adel), 1973-

    2009-01-01T23:59:59.000Z

    Private equity and venture capital investments in emerging markets grew significantly over the past five years (2003-2008), both in absolute and relative terms. In this study, we examine the industry's role in emerging ...

  12. 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...

  13. J. A. Hobson and the Machinery Question

    E-Print Network [OSTI]

    Wilson, Daniel C. S.

    2015-04-15T23:59:59.000Z

    small number of automobiles on the roads.25 The history of technology has often had an awkward relation to broader questions in British history and so has remained strangely marginal.26 However, when understood in its fullest context as both knowledge... fellow at CRASSH, University of Cambridge. He is grateful to archival staff at Conway Hall, the LSE, and the Hull History Centre, as well as to Jos Betts, Rowan Boyson, Gregory Claeys, Thomas Dixon, Stuart Jones, Michael Ledger-Lomas, Peter Mandler, Niall...

  14. 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.

  15. 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

  16. 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

  17. Research at Mines Fiscal Year

    E-Print Network [OSTI]

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

  18. 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

  19. 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 . . . . .

  20. 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.

  1. 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...

  2. Potential sites for joint venture biomass fueled power plants. Final report

    SciTech Connect (OSTI)

    Not Available

    1980-01-02T23:59:59.000Z

    The US Army is investigating wood-fired boilers. One application is for wood fuels to fire fixed power plant installations where the technology is well proven. Approximately 170 Army bases were evaluated for their heating and electrical needs versus fuel availability from on-base forests. Approximately 20 bases met the minimum demand and resource criteria. Potential joint venture partner classes were identified as new Contractor Owned/Contractor Operated (COCO) entrepreneurs; existing utilities and industries in the vicinity of the bases; and existing Government Owned/Contractor Operated (GOCO) entrepreneurs.

  3. BOLD VENTURE COMPUTATION SYSTEM for nuclear reactor core analysis, Version III

    SciTech Connect (OSTI)

    Vondy, D.R.; Fowler, T.B.; Cunningham, G.W. III.

    1981-06-01T23:59:59.000Z

    This report is a condensed documentation for VERSION III of the BOLD VENTURE COMPUTATION SYSTEM for nuclear reactor core analysis. An experienced analyst should be able to use this system routinely for solving problems by referring to this document. Individual reports must be referenced for details. This report covers basic input instructions and describes recent extensions to the modules as well as to the interface data file specifications. Some application considerations are discussed and an elaborate sample problem is used as an instruction aid. Instructions for creating the system on IBM computers are also given.

  4. 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

  5. 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...

  6. 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...

  7. 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

  8. 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

  9. 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

  10. 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.

  11. Student Spotlight Liberal Arts students are making a difference as they venture out

    E-Print Network [OSTI]

    , Hamburger conducted research in Colorado State's Restoration Ecology lab to find a shrub species that can tolerate high zinc concentrations for use in the restoration of mining sites. She worked as an intern

  12. 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...

  13. Thermo Fisher Student Venture Fund $50K and Business Development Aid for a Commercially Viable Science Technology Applicable to

    E-Print Network [OSTI]

    Linsley, Braddock K.

    Thermo Fisher Student Venture Fund $50K and Business Development Aid for a Commercially Viable for scientific proof-of-principal and market analysis. Thermo Fisher may choose further funding or licensing of your invention. Benchmark payments and royalties for the inventors should Thermo Fisher or another

  14. Ventures in science status report, Summer 1992. [Program description and Evaluation Report

    SciTech Connect (OSTI)

    Not Available

    1992-01-01T23:59:59.000Z

    The Ventures in Science summer program is directed towards students who are from underrepresented minority groups in mathematics and science professions. The target group of 40 was drawn from eligible students who will be entering high school freshman in the fall of 1992. 450 students applied. The theme for the summer is Chicago as an Ecosystem. The students are instructed in integrated math and science (2 hours), English/ESL (1 1/2 hrs.), counseling (1 hr.) and, physical education (1 hr.) each day four days a week. Integrated math and science are team taught. Parents are invited to participate in two workshops that will be presented based on their input. Parents may also visit the program at any time and participate in any field trip.

  15. 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

  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. 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,

  19. 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

  20. 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.

  1. 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:

  2. 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

  3. 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:

  4. 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

  5. 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.

  6. 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...

  7. 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

  8. 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...

  9. 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...

  10. 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...

  11. 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

  12. 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.

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  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 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

  3. 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

  4. 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.

  5. 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,...

  6. 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...

  7. 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.

  8. 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

  9. 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

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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

  18. 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,

  19. 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 ~

  20. 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...

  1. 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...

  2. 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...

  3. 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 ...

  4. 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...

  5. 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.

  6. 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!

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. "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

  15. 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

  16. 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...

  17. 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.

  18. 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...

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. UChicagoTech, the University of Chicago Center for Technology Development & Ventures, launched the Innovation Fund in 2010 to accelerate the commercialization of promising,

    E-Print Network [OSTI]

    He, Chuan

    at the University of Chicago. Since 2010, the fund has invested $1.5 millionin a total of 23 projectsacross the University. These projects have received more than $7 millionso far in follow-on funding. Innovation FundUChicagoTech, the University of Chicago Center for Technology Development & Ventures, launched

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

  6. 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.

  7. 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

  8. 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

  9. 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.

  10. 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.

  11. 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

  12. 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.

  13. 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...

  14. 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

  15. 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, ...

  16. 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.

  17. 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.

  18. 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

  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. Collaborative Ventures and Value of Learning: Integrating the Transaction Cost and Strategic Option Perspectives on the Choice of Market Entry Modes

    E-Print Network [OSTI]

    Chi, Tailan; McGuire, Donald J.

    1996-01-01T23:59:59.000Z

    the new market. It is well accepted among scholars of international business that a collaborative venture (CV) is not economically justified unless there exists some complementarity between the resources of the participants [Contractor and Lorange 1987... also exploit the synergy by acquiring the other’s complementary assets. In order for a CV to be the optimal arrangement, the two firms must also face some transaction cost problems that make the acquisition of the other firm or part thereof...

  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. 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.

  16. 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

  17. 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

  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;#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

  19. 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

  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. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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 ...

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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

  4. 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...

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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

  11. 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...

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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

  20. 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...

  1. 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...

  2. 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,...

  3. 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.

  4. 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...

  5. 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

  6. 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...

  7. 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

  8. 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

  9. 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.

  10. Impact of 3-D seismic data on the Nigerian National Petroleum Corporation/Chevron Nigeria Limited joint venture development drilling program

    SciTech Connect (OSTI)

    Quam, S. (Chevron Nigeria Ltd., Lagos (Nigeria))

    1993-09-01T23:59:59.000Z

    The Nigerian National Petroleum Corporation/Chevron Nigeria Limited joint venture has been acquiring three-dimensional (3-D) seismic data over its concessions since 1984. To date, 1700 km[sup 2] have been recorded and processed at a cumulative cost of US $39 million. During 1991 - 1992, 20 development wells were drilled based directly on new 3-D seismic interpretations. These wells have added 148 million bbl of oil in new recoverable reserves, and to date have added 37,000 bbl/day to the joint venture's production. In addition, the 3-D interpretations have resulted in a sizable inventory of wells for future development drilling. The new 3-D interpretations provided more accurate pictures of fault patterns, fluid contacts, channel trends, stratigraphic continuity, and velocity/amplitude anomalies. In addition, the 3-D data were invaluable in designing low risk, directional well trajectories to tap relatively thin oil legs under large gas caps. Wells often were programmed to hit several objectives at their respective gas/oil contacts, resulting in maximized net oil sand pays and reducing the risk of gas production. In order to do this, directional [open quotes]sharpshooting,[close quotes] accurate depth conversion of the seismic time maps, was critical. By using the 3-D seismic, checkshot, and sonic data to develop a variable velocity space, well-top prognoses within 50 ft at depths of 6,000-10,000 ft were possible, and were key to the success of the program. As the joint venture acreage becomes more mature, development wells will be drilled for smaller numbers of stacked objectives, and sometimes for single sands. Highly accurate 3-D interpretations and depth conversions will become even more critical in order to tap thinner pay zones in a cost-effect manner.

  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. 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

  13. 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

  14. Independent Technical Investigation of the Puna Geothermal Venture Unplanned Steam Release, June 12 and 13, 1991, Puna, Hawaii

    SciTech Connect (OSTI)

    Thomas, Richard; Whiting, Dick; Moore, James; Milner, Duey

    1991-07-01T23:59:59.000Z

    On June 24, 1991, a third-party investigation team consisting of Richard P. Thomas, Duey E. Milner, James L. Moore, and Dick Whiting began an investigation into the blowout of well KS-8, which occurred at the Puna Geothermal Venture (PGV) site on June 12, 1991, and caused the unabated release of steam for a period of 31 hours before PGV succeeded in closing in the well. The scope of the investigation was to: (a) determine the cause(s) of the incident; (b) evaluate the adequacy of PGVs drilling and blowout prevention equipment and procedures; and (c) make recommendations for any appropriate changes in equipment and/or procedures. This report finds that the blowout occurred because of inadequacies in PGVs drilling plan and procedures and not as a result of unusual or unmanageable subsurface geologic or hydrologic conditions. While the geothermal resource in the area being drilled is relatively hot, the temperatures are not excessive for modem technology and methods to control. Fluid pressures encountered are also manageable if proper procedures are followed and the appropriate equipment is utilized. A previous blowout of short duration occurred on February 21, 1991, at the KS-7 injection well being drilled by PGV at a depth of approximately 1600'. This unexpected incident alerted PGV to the possibility of encountering a high temperature, fractured zone at a relatively shallow depth. The experience at KS-7 prompted PGV to refine its hydrological model; however, the drilling plan utilized for KS-8 was not changed. Not only did PGV fail to modify its drilling program following the KS-7 blowout, but they also failed to heed numerous ''red flags'' (warning signals) in the five days preceding the KS-8 blowout, which included a continuous 1-inch flow of drilling mud out of the wellbore, gains in mud volume while pulling stands, and gas entries while circulating muds bottoms up, in addition to lost circulation that had occurred earlier below the shoe of the 13-3/8-hch casing.

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. Lab announces Venture Acceleration

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

    greenhouse gas emissions associated with current solar thermal energy heating and cooling methods. According to ThermaSun President Larry Mapes, about 50 prototype units are...

  2. LANL announces Venture Acceleration

    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: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s - 6157 /

  3. Venture Acceleration Fund recipients

    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 Maps1 - USAFof EnergyVendor

  4. Venture Acceleration Fund wins

    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 Maps1 - USAFof EnergyVendorwins entrepreneurship

  5. Lab announces Venture Acceleration

    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: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s -Lab Subcontractoractive in

  6. Native American Venture Acceleration

    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 for Renewable Energy:Nanowire Solar EnergyKambaraorRENEWABLENations Work Together

  7. American Venture Acceleration Fund

    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: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta Fe MetroWeinbergAmericanSix regional

  8. Ventures | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga,planning methodologiesVenkataraya Fibres Pvt Ltd VFPLVentura

  9. 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

  10. 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...

  11. 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,...

  12. 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...

  13. 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...

  14. Chemistry & Biology Genome-Wide High-Throughput Mining

    E-Print Network [OSTI]

    Yin, Jun

    Chemistry & Biology Article Genome-Wide High-Throughput Mining of Natural-Product Biosynthetic Gene.01.006 SUMMARY We have developed a phage-display method for high-throughput mining of bacterial gene clus- ters

  15. Department of Mining & Minerals Engineering Graduate Program of Study

    E-Print Network [OSTI]

    Buehrer, R. Michael

    Department of Mining & Minerals Engineering Graduate Program of Study Name: ID#: Advisor: Graduate Members, with not less than three from the Department of Mining and Minerals Engineering and not less than

  16. Distributed Multivariate Regression Using Wavelet-based Collective Data Mining.

    E-Print Network [OSTI]

    Kargupta, Hilol

    an approach to the analysis of distributed, heterogeneous databases with distinct feature spacesDistributed Multivariate Regression Using Wavelet-based Collective Data Mining. Daryl E a method for distributed multivariate regression using wavelet- based Collective Data Mining (CDM

  17. Scholarship Opportunity for Graduate Studies School of Mining Engineering

    E-Print Network [OSTI]

    Wagner, Stephan

    of Mineral Resources and Reserves, School of Mining Engineering University of the Witwatersrand Tel: +27 11 and a keen interest in the mining industry. In alignment with this mission, the COSMO Consortium of global

  18. Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting

    E-Print Network [OSTI]

    Plale, Beth

    Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting Nithya N. Vijayakumar {rramachandran, xli}@itsc.uah.edu Abstract-- Mesoscale meteorology forecasting as a data driven application Triggers, Data Mining, Stream Processing, Meteorology Forecasting I. INTRODUCTION Mesoscale meteorologists

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

    E-Print Network [OSTI]

    Munim, Mohammed Abdul

    2003-01-01T23:59:59.000Z

    An experimental program was conducted to study the penetration behavior of mines in soft sediment. Model tests were conducted on sediments collected from the Gulf of Mexico seabed. The size of the model mine was approximately one third...

  20. A Three-layered Conceptual Framework of Data Mining

    E-Print Network [OSTI]

    Yao, Yiyu

    A Three-layered Conceptual Framework of Data Mining Y.Y. Yao1 , N. Zhong2 and Y. Zhao1 1 Department-Cho, Maebashi 371, Japan E-mail: zhong@maebashi-it.ac.jp Summary. The study of the foundations of data mining may be viewed as a scien- tific inquiry into the nature of data mining and the scope of data mining

  1. A generic study of strip mining impacts on groundwater resources

    E-Print Network [OSTI]

    Hamilton, David Andrew

    1977-01-01T23:59:59.000Z

    This report evaluates the influence of strip mining features, commonly found in the Northern Great Plains Coal Region, on ground

  2. Establishment of wetland vegetation on East Texas mine spoil

    E-Print Network [OSTI]

    McKnight, Steven Keith

    1991-01-01T23:59:59.000Z

    at Big Brown Mine, Fairfield, Texas. Means with different letters differ (P& 0. 05). 'S. latifolia AGB was not collected. 56 CHAPTER I INTRODUCTION Lignite coal is an important source of fuel for steam generation of electricity in Texas, and surface... mining is the predominant method of coal removal because the coal seams are relatively shallow and nearly horizontal. Over 405, 000 ha of land in Texas eventually will be surface mined (Hossner 1980). The federal Surface Mine Control and Reclamation...

  3. A Survey on Web Multimedia Mining

    E-Print Network [OSTI]

    Kamde, Pravin M

    2011-01-01T23:59:59.000Z

    Modern developments in digital media technologies has made transmitting and storing large amounts of multi/rich media data (e.g. text, images, music, video and their combination) more feasible and affordable than ever before. However, the state of the art techniques to process, mining and manage those rich media are still in their infancy. Advances developments in multimedia acquisition and storage technology the rapid progress has led to the fast growing incredible amount of data stored in databases. Useful information to users can be revealed if these multimedia files are analyzed. Multimedia mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia files. Also in retrieval, indexing and classification of multimedia data with efficient information fusion of the different modalities is essential for the system's overall performance. The purpose of this paper is to provide a systematic overview of multimedia mining. This articl...

  4. Environmental Health and Safety COLORADO SCHOOL OF MINES Colorado School of Mines GOLDEN, COLORADO 80401-1887

    E-Print Network [OSTI]

    Environmental Health and Safety COLORADO SCHOOL OF MINES Colorado School of Mines GOLDEN, COLORADO Institute Site (CSMRI Site) on the south side of Clear Creek has been undergoing environmental time. Sincerely, L Linn D. Havelick Director, Environmental Health & Safety #12;

  5. Unclassified Sources Term and Radionuclide Data for Corrective Action Unit 97: Yucca Flat/Climax Mine, Nevada Test Site, Nevada, Revision 2

    SciTech Connect (OSTI)

    Peter Martian

    2009-08-01T23:59:59.000Z

    This report documents the evaluation of the information and data available on the unclassified source term and radionuclide contamination for CAU 97: Yucca Flat/Climax Mine. The total residual inventory of radionuclides associated with one or more tests is known as the radiologic source term (RST). The RST is comprised of radionuclides in water, glass, or other phases or mineralogic forms. The hydrologic source term (HST) of an underground nuclear test is the portion of the total RST that is released into the groundwater over time following the test. In this report, the HST represents radionuclide release some time after the explosion and does not include the rapidly evolving mechanical, thermal, and chemical processes during the explosion. The CAU 97: Yucca Flat/Climax Mine has many more detonations and a wider variety of settings to consider compared to other CAUs. For instance, the source term analysis and evaluation performed for CAUs 101 and 102: Central and Western Pahute Mesa and CAU 98: Frenchman Flat did not consider vadose zone attenuation because many detonations were located near or below the water table. However, the large number of Yucca Flat/Climax Mine tests and the location of many tests above the water table warrant a more robust analysis of the unsaturated zone. The purpose of this report is to develop and document conceptual models of the Yucca Flat/Climax Mine HST for use in implementing source terms for the Yucca Flat/Climax Mine models. This document presents future plans to incorporate the radionuclide attenuation mechanisms due to unsaturated/multiphase flow and transport within the Yucca Flat CAU scale modeling. The important processes that influence radionuclide migration for the unsaturated and saturated tests in alluvial, volcanic, and carbonate settings are identified. Many different flow and transport models developed by Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL), including original modeling of multiphase flow and transport by the Stoller-Navarro Joint Venture (SNJV), are integrated to form a general understanding of how the RST relates to the HST. This report is unlike the Frenchman Flat source term analysis because it does not calculate the HST for each test. Instead, this work only identifies the important processes that must be considered when the CAU-transport modeling is performed.

  6. DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS

    E-Print Network [OSTI]

    Smyth, Padhraic

    Chapter 1 DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS \\Lambda Padhraic Smyth a better understanding of the role of statistical thinking in modern data mining. Data mining has at the application of a variety of techniques from both computer science and statistics. The chapter discusses how

  7. DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS

    E-Print Network [OSTI]

    Smyth, Padhraic

    Chapter 1 DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS Padhraic Smyth a better understanding of the role of statistical thinking in modern data mining. Data mining has at the application of a variety of techniques from both computer science and statistics. The chapter discusses how

  8. Underground Coal Mine Monitoring with Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yunhao

    10 Underground Coal Mine Monitoring with Wireless Sensor Networks MO LI and YUNHAO LIU Hong Kong University of Science and Technology Environment monitoring in coal mines is an important application queries under instable circumstances. A prototype is deployed with 27 mica2 motes in a real coal mine. We

  9. AIR FLOW MODELING IN DEEP WELLS: APPLICATION TO MINING VENTILATION

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    AIR FLOW MODELING IN DEEP WELLS: APPLICATION TO MINING VENTILATION E. WITRANT1, K.H. JOHANSSON2. Introduction Traditionally, the control of large-scale systems, such as mining ventilation, has been performed to the preliminary design of the global system and automation devices. Mining ventilation provides for an interesting

  10. AIR FLOW MODELING IN DEEP WELLS: APPLICATION TO MINING VENTILATION

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AIR FLOW MODELING IN DEEP WELLS: APPLICATION TO MINING VENTILATION E. WITRANT1, K.H. JOHANSSON2, the control of large-scale systems, such as mining ventilation, has been performed locally with decentralized of the global system and automation devices. Mining ventilation provides for an interesting exam- ple

  11. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    Lin, Xiaodong

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Fall 2012 Instructor: Dr. Hui Xiong E or by appointment Text Book: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbach, Vipin Kumar for analysts to sift through the data even though it may contain useful information. Data mining holds great

  12. Similarity measure to identify users' profiles in web usage mining

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Similarity measure to identify users' profiles in web usage mining Firas Abou Latif -- Nicolas information. It makes the website browsing process even harder. This paper addresses the web usage mining problématique ré- currente. Le Web Usage Mining, qui tente de résoudre ce problème, propose des techniques

  13. Mining Aeronautical Data by using Visualized Driven Rules Extraction

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Mining Aeronautical Data by using Visualized Driven Rules Extraction Approach Gwenael BOTHOREL a, University of Toulouse, France c ENAC, University of Toulouse, France Abstract. Data Mining aims be greater than the volume of initial data. The second approach is Visual Data Mining which helps

  14. DATA MINING FOR A WEB-BASED EDUCATIONAL SYSTEM

    E-Print Network [OSTI]

    DATA MINING FOR A WEB-BASED EDUCATIONAL SYSTEM By Behrouz Minaei-Bidgoli A DISSERTATION Submitted Department of Computer Science and Engineering 2004 #12;ii ABSTRACT DATA MINING FOR A WEB-BASED EDUCATIONAL mining and knowledge discovery techniques can be applied to find interesting relationships between

  15. CHARM: An Efficient Algorithm for Closed Association Rule Mining

    E-Print Network [OSTI]

    Bystroff, Chris

    CHARM: An Efficient Algorithm for Closed Association Rule Mining Mohammed J. Zaki and Ching,hsiaocg@cs.rpi.edu http://www.cs.rpi.edu/#24;zaki Abstract The task of mining association rules consists of two main steps all high confidence rules among itemsets. In this paper we show that it is not necessary to mine all

  16. MIME: A Framework for Interactive Visual Pattern Mining

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    MIME: A Framework for Interactive Visual Pattern Mining Bart Goethals, Sandy Moens, and Jilles, using a toolbox consisting of interestingness measures, mining algorithms and post-processing algorithms to assist in identifying interesting patterns. By mining interactively, we enable the user to combine

  17. Feature Mining Paradigms for Scientific Data Tat-Sang Choy

    E-Print Network [OSTI]

    Wilkins, John

    Feature Mining Paradigms for Scientific Data Ming Jiang Tat-Sang Choy Sameep Mehta Matt Coatney techniques that can mine, track, and visualize the important features in the data. In this paper, we present to their complex evolution. Our framework includes two paradigms for feature mining, and the choice of one over

  18. Data mining in high energy physics Bertrand Brelier

    E-Print Network [OSTI]

    Prodiæ, Aleksandar

    Data mining in high energy physics Bertrand Brelier SOSCIP July 3, 2014 Bertrand Brelier (SOSCIP) Data mining in high energy physics July 3, 2014 1 / 8 #12;The Large Hadron Collider (LHC) Bertrand Brelier (SOSCIP) Data mining in high energy physics July 3, 2014 2 / 8 #12;The ATLAS detector Bertrand

  19. Data Mining in the Real World: Experiences, Challenges, and Recommendations

    E-Print Network [OSTI]

    Weiss, Gary

    Data Mining in the Real World: Experiences, Challenges, and Recommendations Gary M. Weiss Department of Computer and Information Science, Fordham University, Bronx, NY, USA Abstract - Data mining- ceptance. However, applying data mining methods to complex real-world tasks is far from straightforward

  20. Pre-Inca mining in the Southern Nasca Region, Peru

    E-Print Network [OSTI]

    Pre-Inca mining in the Southern Nasca Region, Peru Jelmer W. Eerkens1 , Kevin J. Vaughn2 & Moises Linares Grados3 Guided by modern miners of the region the authors track down pre-Inca mining sites, extraction or production. Keywords: Peru, Nasca, pre-Hispanic, mining Introduction Godoy (1985) has suggested

  1. Mining ApplicAtionS And technologieS

    E-Print Network [OSTI]

    Hartman, Chris

    Mining ApplicAtionS And technologieS College of Rural and Community Development Community for Certificate: 31 or 37 credits This program prepares students for employment in the mining technol- ogy with exploration, mining, environmental and consulting companies. Holders of this certificate will be trained

  2. Data Mining to Characterize Signatures of Impending System Events

    E-Print Network [OSTI]

    Data Mining to Characterize Signatures of Impending System Events or Performance from PMU the Future Electric Energy System #12;#12;Data Mining to Characterize Signatures of Impending System Events Mining to Characterize Signatures of Impending System Events or Performance from PMU Measurements

  3. Mining of EL-GCIs Daniel Borchmann and Felix Distel

    E-Print Network [OSTI]

    Baader, Franz

    Mining of EL-GCIs Daniel Borchmann and Felix Distel Faculty of Computer Science TU Dresden Dresden, Germany {borch,felix}@tcs.inf.tu-dresden.de Abstract--We consider an existing approach for mining general mining, this approach allows more complex patterns to be obtained. Ours is the first implementation

  4. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    Lin, Xiaodong

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Instructor: Dr. Hui Xiong E-mail: hxiong@rutgers.edu WEB : http://datamining.rutgers.edu Text Book: "Introduction to Data Mining", by Pang-Ning Tan useful information. Data mining holds great promise to address this problem by providing efficient

  5. van der Waerden's Theorem and Topological Dynamics Proof Mining

    E-Print Network [OSTI]

    Gerhardy, Philipp

    Outline van der Waerden's Theorem and Topological Dynamics Proof Mining Proof Analysis Comparison with van der Waerden's proof Proof Mining in Topological Dynamics Philipp Gerhardy Department of Mathematics University of Oslo Oberwolfach, April 6 - April 12, 2008. Philipp Gerhardy Proof Mining

  6. van der Waerden's Theorem and Topological Dynamics Proof Mining

    E-Print Network [OSTI]

    Gerhardy, Philipp

    van der Waerden's Theorem and Topological Dynamics Proof Mining Proof Analysis Conclusion Proof Mining in Topological Dynamics Philipp Gerhardy Department of Mathematics University of Oslo Logic Colloquium 2008, Bern, Switzerland, July 3-8. Philipp Gerhardy Proof Mining in Topological Dynamics #12;van

  7. Proof Mining in Ergodic Theory and Topological Dynamics

    E-Print Network [OSTI]

    Gerhardy, Philipp

    Proof Mining in Ergodic Theory and Topological Dynamics Philipp Gerhardy Department of Mathematics, University of Oslo Proof Mining in Ergodic Theory and Topological Dynamics ­ p.1/10 #12;Introduction "Proof mining" is the subfield of mathematical logic concerned with extracting additional information from

  8. Is a voting approach accurate for opinion mining?

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Is a voting approach accurate for opinion mining? Michel Planti´e1 , Mathieu Roche2 , G´erard Dray1 , Pascal Poncelet1 1 Centre de Recherche LGI2P, Site EERIE N^imes, ´Ecole des Mines d'Al`es - France representation of the documents allows to deter- mine the features for storing textual data in data warehouses

  9. CHARM: An Efficient Algorithm for Closed Association Rule Mining

    E-Print Network [OSTI]

    Bystroff, Chris

    CHARM: An Efficient Algorithm for Closed Association Rule Mining Mohammed J. Zaki and Ching.rpi.edu http://www.cs.rpi.edu/ zaki Abstract The task of mining association rules consists of two main steps all high confidence rules among itemsets. In this paper we show that it is not necessary to mine all

  10. Text Mining: The state of the art and the challenges

    E-Print Network [OSTI]

    Tan, Ah-Hwee

    Text Mining: The state of the art and the challenges Ah-Hwee Tan Kent Ridge Digital Labs 21 Heng Mui Keng Terrace Singapore 119613 Email: ahhwee@krdl.org.sg Abstract Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting

  11. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    Lin, Xiaodong

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Spring 2011 Instructor: Dr. Hui Xiong E-353-5261 Text Book: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Addison for analysts to sift through the data even though it may contain useful information. Data mining holds great

  12. MINING MEDLINE: ABSTRACTS, SENTENCES, OR PHRASES? , D. BERLEANTa,d

    E-Print Network [OSTI]

    Wurtele, Eve Syrkin

    MINING MEDLINE: ABSTRACTS, SENTENCES, OR PHRASES? J. DINGa , D. BERLEANTa,d , D. NETTLETONb , AND E addresses automated mining for biochemical information from digital repositories of scientific literature, and effectiveness for the task of mining interactions among biochemical terms based on term co- occurrence. Results

  13. SQL Server 2012 Tutorials: Analysis Services -Data Mining

    E-Print Network [OSTI]

    Hunt, Galen

    #12;SQL Server 2012 Tutorials: Analysis Services - Data Mining SQL Server 2012 Books Online Summary: Microsoft SQL Server Analysis Services makes it easy to create sophisticated data mining solutions. The step by this book. #12;Contents Data Mining Tutorials (Analysis Services

  14. Data mining in design of products and production systems

    E-Print Network [OSTI]

    Kusiak, Andrew

    Data mining in design of products and production systems Andrew Kusiak *, Matthew Smith Intelligent Data mining is acquiring its own identity by refining concepts from other disciplines, developing affected by the data mining pursuit. This paper outlines areas of product and manufacturing system design

  15. Data Mining and Applied Linear Algebra Department of Mathematics

    E-Print Network [OSTI]

    Data Mining and Applied Linear Algebra Moody Chu Department of Mathematics North Carolina State area of disciplines. Extract- ing interesting knowledge from raw data, or data mining in a broader precisely defined. The ba- sic principle of data mining is to distinguish which variable is related to which

  16. Efficient Mining of Partial Periodic Patterns in Time Series Database

    E-Print Network [OSTI]

    Dong, Guozhu

    Efficient Mining of Partial Periodic Patterns in Time Series Database In ICDE 99 Jiawei Han \\Lambda peri­ odic patterns in time­series databases, is an interesting data mining problem. Previous studies several algorithms for efficient mining of par­ tial periodic patterns, by exploring some interesting

  17. Mining Actionable Patterns P. Swapna Raj and Balaraman Ravindran

    E-Print Network [OSTI]

    Sivalingam, Krishna M.

    Mining Actionable Patterns P. Swapna Raj and Balaraman Ravindran Department of Computer Science framework that uses utility in decision making to drive the data mining process. We use concepts from meta test domain. Introduction The primary motivation for the field of data mining is to provide support

  18. Mining Closed Relational Graphs with Connectivity Constraints X. Jasmine Zhou

    E-Print Network [OSTI]

    Zhou, Xianghong Jasmine

    Mining Closed Relational Graphs with Connectivity Constraints Xifeng Yan X. Jasmine Zhou Jiawei Han relational graphs, how to mine frequent highly connected subgraphs from it? ... G1 G2 Gn pattern Figure 1. Mining Massive Relational Graphs This new problem setting has three major characteristics different from

  19. Sparse Component Analysis: a New Tool for Data Mining

    E-Print Network [OSTI]

    Cichocki, Andrzej

    Sparse Component Analysis: a New Tool for Data Mining Pando Georgiev1 , Fabian Theis2 , Andrzej,hova}@bsp.brain.riken.go.jp Summary. In many practical problems for data mining the data X under consid- eration (given as (m × N Separation, cluster- ing. 1 Introduction Data mining techniques can be divided into the following classes [3

  20. Standardization of Components, Products and Processes with Data Mining

    E-Print Network [OSTI]

    Kusiak, Andrew

    1 Standardization of Components, Products and Processes with Data Mining Bruno AGARD Département de - 1527, USA andrew-kusiak@uiowa.edu ABSTRACT Data mining offers tools for extracting knowledge from databases. This paper discusses applications of data mining in standardization of components, products

  1. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    Lin, Xiaodong

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Fall 2013 Instructor: Dr. Hui Xiong E: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Addison Wesley, ISBN: 0 even though it may contain useful information. Data mining holds great promise to address this problem

  2. Contaminated identities: Mercury and marginalization in Ghana's artisanal mining sector

    E-Print Network [OSTI]

    Singha, Kamini

    mining; Political ecology; Ecohealth; Environmental justice; Ghana 1. Introduction Artisanal and smallContaminated identities: Mercury and marginalization in Ghana's artisanal mining sector Petra and multifaceted policy problem that underlies the current conflictual aspects in the small-scale mining sector

  3. A Visualization Application for the Mining Industry Using Standard Tools

    E-Print Network [OSTI]

    1/1 A Visualization Application for the Mining Industry Using Standard Tools Steven J. Schafrik visualization tools for modeling an orebody, or a mining process such as loading and tramming. This is usually accomplished using commercial tools, such as mine design packages, process simulators, etc., that have a custom

  4. KOINOTITES: A Web Usage Mining Tool for Personalization

    E-Print Network [OSTI]

    Paliouras, George

    KOINOTITES: A Web Usage Mining Tool for Personalization Dimitrios Pierrakos Inst. of Informatics@iit.demokritos.gr SUMMARY This paper presents the Web Usage Mining system KOINOTITES, which uses data mining techniques for the construction of user communities on the Web. User communities model groups of visitors in a Web site, who have

  5. 1. INTRODUCTION In the past, the Canadian mine wastes were

    E-Print Network [OSTI]

    Aubertin, Michel

    to form acid mine drainage (AMD). This acidified water may also lead to the leaching of heavy metals which, etc) and water (e.g. mine process water, rainwater, lake water, etc.) to fill underground mine development within in situ paste backfill. The basis for this study was observations made by ground control

  6. A REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY

    E-Print Network [OSTI]

    Duffy, Ken

    A REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY Meimei Zhang. This method often undervalues a mining project since it ignores future price uncertainty and does not allow on metal price. This paper also demonstrates that the "reactive" approach can estimate the mine project

  7. Web Mining: Pattern Discovery from World Wide Web Transactions

    E-Print Network [OSTI]

    Kumar, Vipin

    ­based organizations often generate and collect large volumes of data in their daily operations. Analyzing such data access logs. We propose a framework for Web mining, the applications of data mining and knowledge from the Web data. We also present a Web mining system, WEBMINER, which has been implemented based upon

  8. Research Report Integrating Association Rule Mining with Relational

    E-Print Network [OSTI]

    Sarawagi, Sunita

    Research Report Integrating Association Rule Mining with Relational Database Systems: Alternatives­6099 ABSTRACT: Data mining on large data warehouses is becoming increasingly important. In support of this trend in a stored procedure; caching the data to a file system on­the­fly and mining; tight­coupling using primarily

  9. Open Source Data Mining: Workshop Report Bart Goethals

    E-Print Network [OSTI]

    Open Source Data Mining: Workshop Report Bart Goethals University of Antwerp Antwerp, Belgium bart tremendous progress has been made in data mining methods like clustering, classification, fre- quent pattern advances in the field. With this workshop we intended to promote open source data mining (OSDM) by creating

  10. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist

    E-Print Network [OSTI]

    Bacardit, Jaume

    Data Mining in Learning Classifier Systems: Comparing XCS with GAssist Jaume Bacardit1 and Martin V several structural properties of the underlying datasets. 1 Introduction Successful data mining mining including data volume, search space size and type, complexity of the concept, noise in the data

  11. MODERN INTRUSION DETECTION, DATA MINING, AND DEGREES OF ATTACK GUILT

    E-Print Network [OSTI]

    Noel, Steven

    MODERN INTRUSION DETECTION, DATA MINING, AND DEGREES OF ATTACK GUILT Steven Noel Center for Secure, with a particular emphasis on the emerging approach of data mining. The discussion parallels two important aspects security, Intrusion detection, data mining 1. Introduction The goal of intrusion detection is to discover

  12. Segmentation for Medical Image Mining: A Technical Ashraf Elsayed1

    E-Print Network [OSTI]

    Atkinson, Katie

    Segmentation for Medical Image Mining: A Technical Report Ashraf Elsayed1 , Frans Coenen1 , Marta, such as relational databases, has been the focal point of much work in data mining. However, with advances, sound, etc). There is currently a very substantial collection of image data that can be mined

  13. Beyond Process Mining: From the Past to Present and Future

    E-Print Network [OSTI]

    van der Aalst, Wil

    . However, thus far, process mining is mainly used in an of- fline fashion and not for operational decision a framework for operational support using process mining and details a coherent set of approaches that focuses in an operational setting. Process mining is mainly used in an offline setting where historical information

  14. An Autonomous Robotic System for Mapping Abandoned Mines

    E-Print Network [OSTI]

    Thrun, Sebastian

    control. The system has been tested in a number of mines. Some of the results reported here were obtainedAn Autonomous Robotic System for Mapping Abandoned Mines D. Ferguson, A. Morris, D. H¨ahnel, C system for mapping aban- doned mines. The software is capable of acquiring consistent 2D maps of large

  15. Fast Mining of Sequential Patterns in Very Large Databases

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    : Knowledge Discovery, Data Mining, Sequential Patterns, Sequence Discovery, Temporal Association Rules growth of data has spurred the growth of the new field called Data Mining and Knowledge Discovery mining refers to the core model/pattern discovery step. The other steps include data selection, cleaning

  16. GPU-Accelerated Text Mining Yongpeng Zhang, Frank Mueller

    E-Print Network [OSTI]

    Mueller, Frank

    GPU-Accelerated Text Mining Yongpeng Zhang, Frank Mueller North Carolina State University of parallelism and novel programming environ- ments. This present work assesses the viability of text mining on CUDA. Text mining is one of the key concepts that has become prominent as an effective means to index

  17. Security Issues in Data Warehousing and Data Mining: Panel Discussion

    E-Print Network [OSTI]

    Lin, Tsau Young

    and mining. Position by Linda Schlipper For most enterprises there is no shortage of data. Operational dataSecurity Issues in Data Warehousing and Data Mining: Panel Discussion Bhavani Thuraisingham Corporation Abstract This paper describes the panel discussion on data warehousing, data mining and security

  18. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist

    E-Print Network [OSTI]

    Bacardit, Jaume

    Data Mining in Learning Classifier Systems: Comparing XCS with GAssist Jaume Bacardit and Martin V) 333­2346 Fax: (217) 244­5705 #12; Data Mining in Learning Classifier Systems: Comparing XCS be distinguished in data mining including data volume, search space size and type, complexity of the concept, noise

  19. Mining Competitive Relationships by Learning across Heterogeneous Networks

    E-Print Network [OSTI]

    Menczer, Filippo

    . Existing studies mainly focus on mining competitive relationships within a single data source, whileMining Competitive Relationships by Learning across Heterogeneous Networks Yang Yang , Jie Tang. In this paper, we study the problem of mining competitive rela- tionships by learning across heterogeneous

  20. 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

  1. High pressure water jet mining machine

    DOE Patents [OSTI]

    Barker, Clark R. (Rolla, MO)

    1981-05-05T23:59:59.000Z

    A high pressure water jet mining machine for the longwall mining of coal is described. The machine is generally in the shape of a plowshare and is advanced in the direction in which the coal is cut. The machine has mounted thereon a plurality of nozzle modules each containing a high pressure water jet nozzle disposed to oscillate in a particular plane. The nozzle modules are oriented to cut in vertical and horizontal planes on the leading edge of the machine and the coal so cut is cleaved off by the wedge-shaped body.

  2. Coal mine ground control. 3rd ed.

    SciTech Connect (OSTI)

    Peng, S.S.

    2008-09-15T23:59:59.000Z

    The third edition not only completely revises and updates the original subject areas, but also is broadened to include a number of new topics such as high horizontal stresses, computer modeling, and highwall stability. The subject areas covered in this book define the current field of coal mine ground control, except for the recently emerging topic of mine seals and some conventional subjects such as coal/rock cutting and impoundment dams. It contains 1,134 references from all published sources, and archived since 1876.

  3. Emission control options for mine diesels

    SciTech Connect (OSTI)

    Waytulonis, R.W. (Bureau of Mines, Twin Cities, MN (USA). Twin Cities Research Center)

    1991-03-01T23:59:59.000Z

    New exhaust control techniques and devices may be necessary to meet future diesel particulate matter emission standards in underground coal mines. This paper reviews conventional work practices and devices used to control diesel exhaust emissions, and new techniques being tested by the US Bureau of Mines. Discussions center on important work practices and on the function and efficiency of exhaust aftertreatment devices. An industry-government cooperative research project to develop and test an exhaust aftertreatment system for part 36 equipment is also discussed.

  4. Colorado SChool of MineS We are Colorado School of Mines. Full of pride in our distinguished

    E-Print Network [OSTI]

    and service. Graphic standards address the "show" element of this commitment. By diligently and uniformly, Energy, Materials and Environment. This Graphic Standards Guide sets forth the trademarked logos -- both institution of higher learning. We are Mines. #12;ContentS GraphiC StandardS 04 LetterfromthePresident 05

  5. Colorado SChool of MineS We are Colorado School of Mines. Full of pride in our distinguished history. Full

    E-Print Network [OSTI]

    to excellence and service. Graphic standards address the "show" element of this commitment. By diligently and stewardship of the earth's resources. This Graphic Standards Guide sets forth the trademarked logos -- both and communications. #12;Contents GraphiC standards 04 Letter from the President 05 Colorado School of Mines Signature

  6. Acoustic Mine Detection UsingAcoustic Mine Detection Using the Navy' CASS/GRAB Modelthe Navy' CASS/GRAB Model

    E-Print Network [OSTI]

    Chu, Peter C.

    Acoustic Mine Detection UsingAcoustic Mine Detection Using the Navy' CASS/GRAB Modelthe Navy' CASS hunting component of the U.S. Navy's Mine Hunting and Countermeasure ships. #12;Detection Sonar and MOODS. Global GDEM has a 30'30' resolution U.S. Navy's Operationally important areas contain resolutions

  7. SEISMIC MONITORING APPLIED TO MINES SAFETY AND OPTIMAL DESIGN OF MINE LAYOUTS IN HARD ROCK MASS SITATIONS

    E-Print Network [OSTI]

    Boyer, Edmond

    SEISMIC MONITORING APPLIED TO MINES SAFETY AND OPTIMAL DESIGN OF MINE LAYOUTS IN HARD ROCK MASSRockMechanics, School of Mines ofNancy, France. ABSTRACT : The paper intends to show how seismic data can be usefülly rock, tabular situations are usually associated with induced, seismic activity, i.e. the occurrence

  8. ITP Mining: Water Use in Industries of the Future: Mining Industry

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

    Water Use in Industries of the Future: Mining Industry 1 Contributed by: Jim Mavis CH2M HILL 777 108 th Ave., NE Bellevue, WA 98004 Prepared under contract to Center for Waste...

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

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

    1 Combustion Engineering, Combustion-Fossil Power, Chapter 2-7, 1991. Coal 2-1 Energy and Environmental Profile of the U.S. Mining Industry Anthracite - Hard and very...

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

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

    in the ground and some of the ore that is mined will have to be discarded. While a number of techniques for magnesium removal have been proposed, no satisfactory solution to...

  11. Exploring Space to Help Mining MINAR: An analogue programme at Boulby Mine

    E-Print Network [OSTI]

    Strathclyde, University of

    mineral extraction. This program (MINAR ­ Mining and Analogue Research programme) is an international subsurface of the Earth. In the process of doing this, new insights will be gained in technology transfer

  12. Preliminary report on LLNL mine seismicity deployment at the Twentymile Coal Mine

    SciTech Connect (OSTI)

    Walter, W.R.; Hunter, S.L.; Glenn, L.A.

    1996-01-01T23:59:59.000Z

    This report summarizes the preliminary results of a just completed experiment at the Twentymile Coal Mine, operated by the Cyprus Amax Coal Company near Oak Creek, CO. The purpose of the experiment was to obtain local and regional seismic data from roof caves associated with long-wall mining activities and to use this data to help determine the effectiveness with which these events can be discriminated from underground nuclear explosions under a future Comprehensive Test Ban Treaty.

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

    E-Print Network [OSTI]

    Holliday, Vance T.

    .621.8330 mgedept@email.arizona.edu ONLINE GRADUATE CERTIFICATE PROGRAM 15 UNITS YOUR CAREER GEOMECHANICS #12;GEOMECHANICS Department of Mining & Geological Engineering www.mge.arizona.edu Contact: John Kemeny Kemeny@email.arizona.edu REQUIRED COURSES (12 units) MNE 527 Geomechanics (3 units) MNE 580 Rock Fracture Mechanics (3 units) MNE

  14. Bornholm Web Mining Techniques rup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Ã?rup

    Bornholm Web Mining Techniques Finn A Ã? rup Nielsen Informatics and Mathematical Modelling; Focused crawling #15; Counting links #15; Size of web-sites #15; PostScript/PDF conversion #15; Generation and Giles, 1998). \\[...] no engine indexes more than about 16% of the web" (Lawrence and Giles, 1999). #15

  15. Bornholm Cases in Web Mining rup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Ã?rup

    Bornholm Cases in Web Mining Finn A Ã? rup Nielsen Informatics and Mathematical Modelling Technical A Ã? rup Nielsen, IMM, DTU April 7, 2002 OVERVIEW #15; PubMed & ISI #15; ResearchIndex. Web; DEADLINER. Special topic search engine. #15; Webgames. #15; Modeling the growth of the web. #15; Gene

  16. Tools for Large Graph Mining Deepayan Chakrabarti

    E-Print Network [OSTI]

    Tools for Large Graph Mining by Deepayan Chakrabarti Submitted to the Center for Automated Learning computer networks to sociology, biology, ecology and many more. How do such "normal" graphs look like? How-graph, which can be both weighted or unweighted. · Ecology: Food webs are self-graphs with each node

  17. Rare Earth Element Mines, Deposits, and Occurrences

    E-Print Network [OSTI]

    Torgersen, Christian

    Rare Earth Element Mines, Deposits, and Occurrences by Greta J. Orris1 and Richard I. Grauch2 Open Table 1. Rare earth mineral codes and associated mineral names.......................................................................................6 Table 2. Non-rare earth mineral codes and associated mineral names

  18. Sentiment Analysis and Opinion Mining Bibliography

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    of Conference of the European Chapter of the Association for Computational Linguistics (EACL-06). 2006. 6 power of product features by mining consumer reviews. in Proceedings of the ACM SIGKDD Conference? in Proceedings of the International Conference on Computational Linguistics (COLING-2010). 2010. 14. Banea

  19. Mine Impact Burial Prediction Experimental (MIBEX)

    E-Print Network [OSTI]

    Chu, Peter C.

    School Steven D. Haeger Naval Oceanographic Office #12;Modeling Mine Impact Burial Depth Modeling.5 0.6 Hs ig For MIS O S ite Hsig(m) Yea rday of 2000 #12;Surface Elevation Variance #12;R/V John

  20. WWW-2005 Tutorial Web Content Mining

    E-Print Network [OSTI]

    Hu, Wen-Chen

    of surface Web and deep Web. Surface Web: pages that can be browsed using a browser. Deep Web: databasesWWW-2005 Tutorial Web Content Mining Bing Liu Department of Computer Science University of Illinois at Chicago (UIC) liub@cs.uic.edu http://www.cs.uic.edu/~liub The 14th International World Wide Web Conference

  1. Grid Architecture for Distributed Process Mining

    E-Print Network [OSTI]

    Sidorova, Natalia

    Eindhoven: Technische Universiteit Eindhoven, 2011. Proefschrift. Cover photo by Iman Mosavat A catalogue record is available from the Eindhoven University of Technology Li- brary ISBN 978-90-386-2446-4 NUR 980. Printed by University Press Facilities, Eindhoven #12;Grid Architecture for Distributed Process Mining

  2. Global integration for metals, mining and forest

    E-Print Network [OSTI]

    such as coils, bars and sheets. · Forest and paper companies own or lease forests, cut timber, process woodBeyond the familiar Global integration for metals, mining and forest and paper companies Industrial commitment by IBM Global Business Services to provide analysis and viewpoints that help companies realize

  3. Geospatial Data Store Colorado School of Mines

    E-Print Network [OSTI]

    Geospatial Data Store Colorado School of Mines White Paper February 2006 Martin Spann, Adjunct Professor EPICS #12;2 A Geospatial Data Store Contents Executive Summary Proposed Budget (short version) General Information Geospatial Data Geospatial Data Store Library Geospatial Committee Academic

  4. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY

    SciTech Connect (OSTI)

    Zvi H. Meiksin

    2004-01-01T23:59:59.000Z

    A prototype tracking system was built and tested. Moving vehicles were detected by the tracking system when a vehicle was 20 to 30 feet away from a location sensor. The identity of the vehicle was transmitted to Transtek's in-mine communications system and relayed to a desktop computer.

  5. European Commission stakeholder consultation on seabed mining

    E-Print Network [OSTI]

    Jones, Peter JS

    tick more than one box.* between 1 and 8 choices surveying and prospecting extraction processing with the environmental impact of seabed mining and the seafloor mineral resource assessment through deep sea exploration and geophysical surveying. Aggregate Extraction * * * #12;The sea provides a significant proportion of some

  6. Computer Science MAPO: Mining API Usages from

    E-Print Network [OSTI]

    Xie, Tao

    Computer Science MAPO: Mining API Usages from Open Source Repositories Tao Xie Department of Computer Science North Carolina State University, USA Jian Pei Department of Computer Science Simon Fraser University, Canada ·http://ase.csc.ncsu.edu/ #12;Computer Science Learning API Usages is Challenging ·org

  7. Data Mining and Knowledge Petra Kralj Novak

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery Petra Kralj Novak Petra.Kralj.Novak@ijs.si 2011/11/08 #12 in Weka ­ Discussion about seminars and exam ­ Hands on Weka 3 · 2011/12/20: Written exam, seminar. Divide the set S into subsets Si according to the values of A 8. Repeat steps 1-7 on each Si Test

  8. 1 Mining Closed & Maximal Frequent Itemsets

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    and maximal itemset mining prob- lem. We survey existing methods and focus on Charm and GenMax, both state- of that the methods have varying performance depending on the database characteristics (mainly the distribution CAREER Award IIS-0092978, DOE Early Career Award DE- FG02-02ER25538, NSF grant EIA-0103708 D R A F

  9. Chapter 10 Mining Social-Network

    E-Print Network [OSTI]

    Ullman, Jeffrey D.

    340 #12;Chapter 10 Mining Social-Network Graphs There is much information to be gained by analyzing the large-scale data that is derived from social networks. The best-known example of a social network such networks. An important question about a social network is how to identify "communities," that is, subsets

  10. Chapter 10 Mining Social-Network

    E-Print Network [OSTI]

    Davis, James E.

    340 #12;Chapter 10 Mining Social-Network Graphs There is much information to be gained by analyzing the large-scale data that is derived from social networks. The best-known example of a social network such networks. An important question about a social network is to identify "communities," that is, subsets

  11. COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM

    E-Print Network [OSTI]

    , managers, and other affected parties, · Emphasizes planning, management, and evaluation of employee1 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM Revised October 1, 2008 I. HISTORY Since salaries were adjusted based on prevailing wages as determined by a salary survey, with merit increases

  12. Physical Limitations on Mining Natural Earth Systems

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    Physical Limitations on Mining Natural Earth Systems A view of the Himalayas from Lhasa Tad Patzek of fossil fuels ("resources") left all over the Earth The resource size (current balance of a banking flow-based solutions (wind turbines, photovoltaics, and biofuels) will require most radical changes

  13. State Budget and its Impacts on Mines

    E-Print Network [OSTI]

    1 State Budget and its Impacts on Mines Faculty Conference August 23, 2010 Kirsten M. Volpi, CPA Senior Vice President for Finance and Administration #12;Agenda State of Colorado budget overview budget Future Financial outlook State Senate Bill 10-003 2 #12;State of Colorado Budget (OSPB October

  14. Mining malware specifications through static reachability analysis

    E-Print Network [OSTI]

    Boyer, Edmond

    Mining malware specifications through static reachability analysis Hugo Daniel Macedo1 and Tayssir be used to model the stack operations occurring during the binary code execution), use reachability the file under analysis is malicious. Experimental data shows that our approach can be used to learn

  15. New Mexico Bureau Mines and Mineral

    E-Print Network [OSTI]

    Dunbar, Nelia W.

    Number22 - 1999 New Mexico Bureau of Mines and Mineral Resources a division of Nei~, Mexico Tech forsandblasting five times! ThisIssue Earth Briefs-Better age estimates on some New Mexico volcanic rocks Have You) NewMexico's Most Wanted Minera Is (pageT) Magnification of microscopic miner- als and glass (page 8

  16. Industrial hygiene aspects of underground oil shale mining

    SciTech Connect (OSTI)

    Hargis, K.M.; Jackson, J.O.

    1982-01-01T23:59:59.000Z

    Health hazards associated with underground oil shale mining are summarized in this report. Commercial oil shale mining will be conducted on a very large scale. Conventional mining techniques of drilling, blasting, mucking, loading, scaling, and roof bolting will be employed. Room-and-pillar mining will be utilized in most mines, but mining in support of MIS retorting may also be conducted. Potential health hazards to miners may include exposure to oil shale dusts, diesel exhaust, blasting products, gases released from the oil shale or mine water, noise and vibration, and poor environmental conditions. Mining in support of MIS retorting may in addition include potential exposure to oil shale retort offgases and retort liquid products. Based upon the very limited industrial hygiene surveys and sampling in experimental oil shale mines, it does not appear that oil shale mining will result in special or unique health hazards. Further animal toxicity testing data could result in reassessment if findings are unusual. Sufficient information is available to indicate that controls for dust will be required in most mining activities, ventilation will be necessary to carry away gases and vapors from blasting and diesel equipment, and a combination of engineering controls and personal protection will likely be required for control of noise. Recommendations for future research are included.

  17. The Mining Life : : A Transnational History of Race and Family in the U.S.-Mexico Borderlands, 1890-1965

    E-Print Network [OSTI]

    Maiorana, Juliette Charlie

    for, Mr. McKinney, Mexican Mining Department, Mexico, City,and Relationships in the Mining West: Central Arizona, 1863-American Institute of Mining Engineers, 1941. Reisler, Mark.

  18. Mining Data Bases and Data Streams Carlo Zaniolo and Hetal Thakkar

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Chapter 5 Mining Data Bases and Data Streams Carlo Zaniolo and Hetal Thakkar Computer Science mining represents an emerging technology area of great importance to homeland security. Data mining and applications of data mining and the information systems recently developed for supporting the mining process

  19. A Text Mining Approach to Tracking Elements of Decision Making: a pilot study

    E-Print Network [OSTI]

    A Text Mining Approach to Tracking Elements of Decision Making: a pilot study C. Chibelushi, B industrial problems in system engineering projects. The aim of our research is to apply text mining and rework. Text mining is similar to data mining: while data mining seeks to discover meaningful patterns

  20. 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.

  1. An Algorithm for In-Core Frequent Itemset Mining on Streaming Data Ruoming Jin Gagan Agrawal

    E-Print Network [OSTI]

    Agrawal, Gagan

    .ohio-state.edu Abstract Frequent itemset mining is a core data mining operation and has been extensively studied over Frequent itemset mining is a core data mining operation and has been extensively studied over the lastAn Algorithm for In-Core Frequent Itemset Mining on Streaming Data Ruoming Jin Gagan Agrawal

  2. Approximate Mining of Consensus Sequential Patterns Hye-Chung (Monica) Kum

    E-Print Network [OSTI]

    Whitton, Mary C.

    . Mining sequential patterns in large databases of such data has become an important data mining task pattern mining, to mine databases with long sequences. A paradigm, which defines patterns operationallyApproximate Mining of Consensus Sequential Patterns by Hye-Chung (Monica) Kum A dissertation

  3. Marine clathrate mining and sediment separation

    DOE Patents [OSTI]

    Borns, David J. (Albuquerque, NM); Hinkebein, Thomas E. (Albuquerque, NM); Lynch, Richard W. (Albuquerque, NM); Northrop, David A. (Albuquerque, NM)

    2001-01-01T23:59:59.000Z

    A method and apparatus for mining of hydrocarbons from a hydrocarbon-containing clathrate such as is found on the ocean floor. The hydrocarbon containing clathrate is disaggregated from sediment by first disrupting clathrate-containing strata using continuous mining means such as a rotary tilling drum, a fluid injector, or a drill. The clathrate-rich portion of sediment thus disrupted from the sea floor strata are carried through the apparatus to regions of relative lower pressure and/or relative higher temperature where the clathrate further dissociates into component hydrocarbons and water. The hydrocarbon is recovered with the assistance of a gas that is injected and buoys the hydrocarbon containing clathrate helping it to rise to regions of lower pressure and temperature where hydrocarbon is released. The sediment separated from the hydrocarbon returns to the ocean floor.

  4. Customer Data Clustering using Data Mining Technique

    E-Print Network [OSTI]

    Rajagopal, Dr Sankar

    2011-01-01T23:59:59.000Z

    Classification and patterns extraction from customer data is very important for business support and decision making. Timely identification of newly emerging trends is very important in business process. Large companies are having huge volume of data but starving for knowledge. To overcome the organization current issue, the new breed of technique is required that has intelligence and capability to solve the knowledge scarcity and the technique is called Data mining. The objectives of this paper are to identify the high-profit, high-value and low-risk customers by one of the data mining technique - customer clustering. In the first phase, cleansing the data and developed the patterns via demographic clustering algorithm using IBM I-Miner. In the second phase, profiling the data, develop the clusters and identify the high-value low-risk customers. This cluster typically represents the 10-20 percent of customers which yields 80% of the revenue.

  5. Data Mining in Gamma Astrophysics Experiments

    E-Print Network [OSTI]

    M. Frailis; A. De Angelis; V. Roberto

    2005-03-24T23:59:59.000Z

    Data mining techniques, including clustering and classification tasks, for the automatic information extraction from large datasets are increasingly demanded in several scientific fields. In particular, in the astrophysical field, large archives and digital sky surveys with dimensions of 10E12 bytes currently exist, while in the near future they will reach sizes of the order of 10E15. In this work we propose a multidimensional indexing method to efficiently query and mine large astrophysical datasets. A novelty detection algorithm, based on the Support Vector Clustering and using density and neighborhood information stored in the index structure, is proposed to find regions of interest in data characterized by isotropic noise. We show an application of this method for the detection of point sources from a gamma-ray photon list.

  6. Mining Gamma-Ray Burst Data

    E-Print Network [OSTI]

    Jon Hakkila; Richard J. Roiger; David J. Haglin; Robert S. Mallozzi; Geoffrey N. Pendleton; Charles A. Meegan

    2000-11-30T23:59:59.000Z

    Gamma-ray bursts provide what is probably one of the messiest of all astrophysical data sets. Burst class properties are indistinct, as overlapping characteristics of individual bursts are convolved with effects of instrumental and sampling biases. Despite these complexities, data mining techniques have allowed new insights to be made about gamma-ray burst data. We demonstrate how data mining techniques have simultaneously allowed us to learn about gamma-ray burst detectors and data collection, cosmological effects in burst data, and properties of burst subclasses. We discuss the exciting future of this field, and the web-based tool we are developing (with support from the NASA AISR Program). We invite others to join us in AI-guided gamma-ray burst classification (http://grb.mnsu.edu/grb/).

  7. Cutting sound enhancement system for mining machines

    DOE Patents [OSTI]

    Leigh, Michael C. (Coal Center, PA); Kwitowski, August J. (Clairton, PA)

    1992-01-01T23:59:59.000Z

    A cutting sound enhancement system (10) for transmitting an audible signal from the cutting head (101) of a piece of mine machinery (100) to an operator at a remote station (200), wherein, the operator using a headphone unit (14) can monitor the difference in sounds being made solely by the cutting head (101) to determine the location of the roof, floor, and walls of a coal seam (50).

  8. Roof control strategies for underground coal mines

    SciTech Connect (OSTI)

    Smith, W.C. (Bureau of Mines, Denver, CO (United States))

    1993-01-01T23:59:59.000Z

    Roof support, an important aspect of ground control, involves maintaining roof competency to ensure a safe and efficient mining environment. Wide variability in rock quality and stress distributions requires a systematic approach to roof support design that satisfies specific goals. The success of past roof support in reducing the incidence of roof falls has been primarily attributed to safer roof bolting practices. However, roof falls continue to be the number one occupational hazard in underground coal mines. This US Bureau of Mines report presents a general overview of roof bolting and other roof support methods used in the United States. Characteristics of bad roof and associated roof failure theories are briefly presented as background to roof support. Methods of detecting and monitoring roof behavior and/or bolt performance provide essential feedback on roof support requirements. A discussion follows on roof bolt design that assimilates roof and support parameters into useful equations or nomographs to help decide what bolt types to use and how they should be installed under different roof conditions. 35 refs., 8 figs.

  9. Coal conversion siting on coal mined lands: water quality issues

    SciTech Connect (OSTI)

    Triegel, E.K.

    1980-01-01T23:59:59.000Z

    The siting of new technology coal conversion facilities on land disturbed by coal mining results in both environmental benefits and unique water quality issues. Proximity to mining reduces transportation requirements and restores disrupted land to productive use. Uncertainties may exist, however, in both understanding the existing site environment and assessing the impact of the new technology. Oak Ridge National Laboratory is currently assessing the water-related impacts of proposed coal conversion facilities located in areas disturbed by surface and underground coal mining. Past mining practices, leaving highly permeable and unstable fill, may affect the design and quality of data from monitoring programs. Current mining and dewatering, or past underground mining may alter groundwater or surface water flow patterns or affect solid waste disposal stability. Potential acid-forming material influences the siting of waste disposal areas and the design of grading operations. These and other problems are considered in relation to the uncertainties and potentially unique problems inherent in developing new technologies.

  10. Injury experience in stone mining, 1991. Information report

    SciTech Connect (OSTI)

    Not Available

    1993-10-01T23:59:59.000Z

    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 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 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.

  11. 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...

  12. NPDES Rule for Coal Mining Facilities (West Virginia)

    Broader source: Energy.gov [DOE]

    This rule establishes requirements implementing the powers, duties, and responsibilities of State's Water Pollution Control Act with respect to all coal mines, preparation plants and all refuse and...

  13. Alteration And Geochemical Zoning In Bodie Bluff, Bodie Mining...

    Open Energy Info (EERE)

    Alteration And Geochemical Zoning In Bodie Bluff, Bodie Mining District, Eastern California Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article:...

  14. A Demonstration System for Capturing Geothermal Energy from Mine...

    Open Energy Info (EERE)

    Technology Demonstration Projects Project Description Butte, Montana, like many other mining towns that developed because of either hard-rock minerals or coal, is underlain by...

  15. An improved formulation of the underground mine scheduling ...

    E-Print Network [OSTI]

    2012-11-21T23:59:59.000Z

    set within a resource production/consumption framework is presented, ...... Mining Engineering, Amer. Inst. Min. Metall. Pet. Eng, 55(8):33–39,. 2003. 8. J. Little ...

  16. A strengthened formulation for the open pit mine production ...

    E-Print Network [OSTI]

    Natashia Boland

    2007-03-26T23:59:59.000Z

    Mar 26, 2007 ... Abstract: We present a strengthened integer programming formulation for the open pit mine production scheduling problem, where the ...

  17. Development Wells At Salt Wells Area (Nevada Bureau of Mines...

    Open Energy Info (EERE)

    Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Development Wells At Salt Wells Area...

  18. The market for large rigid haul trucks in surface mining

    SciTech Connect (OSTI)

    Gilewicz, P.

    2002-04-15T23:59:59.000Z

    Originally published in 2001 this updated report provides a definition of the market for large rigid haulers in surface mining. The analysis covers changes to the mining market segments buying these machines including the gains made by coal producers, retrenchment in copper mining, the consolidation taking place among gold mining companies, and the expansion of iron ore producers in Australia and Brazil. It includes a detailed accounting of 2001 truck shipments, and an analysis of trends in the Ultra-truck segment. It concludes with a revised forecast for shipments through 2006. 12 charts, 56 tabs., 2 apps.

  19. arlit uranium mines: Topics by E-print Network

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

    integration and pre-processing Part 2: Association rule mining Part Christen, Peter 32 Depleted Uranium Technical Brief Environmental Sciences and Ecology Websites Summary: and...

  20. !"#$%&'()&"*'+,"('+(-.'(/'(01$2,'+,%$+( !"#$%&!'#!'#()*+'"%#!'#,-cole des Mines de Nantes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -Marc Menaud, HdR, cole des Mines de Nantes M. Jean-Pierre Gudon, Professeur, cole Polytechnique de Nantes M

  1. automated genome mining: Topics by E-print Network

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

    methods of gene and protein annotation Cheng, Jianlin Jack 2 Automated Data Mining from Web Servers Using Perl Script Computer Technologies and Information Sciences Websites...

  2. Colliers in Corsets? Uncovering Stark County's Nineteenth-Century Coal Mining Women

    E-Print Network [OSTI]

    Sampson, Jason

    2012-01-01T23:59:59.000Z

    notion of family labor that persisted in the coal mines. InAmerican women first entered the coal mines en masse, theyCounty’s Nineteenth-Century Coal Mining Women According to

  3. Rule of Tennessee Department of Conservation Division of Surface Mining (Tennessee)

    Broader source: Energy.gov [DOE]

    The Division of Surface Mining, under the authority of the Department of Environment and Conservation, has established rules specific to the mining of coal. All coal mining operations must first...

  4. Mining Time Series Data: Moving from Toy Problems to Realistic Deployments

    E-Print Network [OSTI]

    Hu, Bing

    2013-01-01T23:59:59.000Z

    Conference on Data Mining, 2010 V. Chandola, A. Banerjee,and E. Keogh. “ Querying and Mining of Time Series Data:2 nd Workshop on Temporal Data Mining, 2002 K. Malatesta, S.

  5. Use and analysis of new optimization techniques for decision theory and data mining

    E-Print Network [OSTI]

    Moreno Centeno, Erick

    2010-01-01T23:59:59.000Z

    techniques in data mining. Manuscript UC Berkeley, [40] D.Hochbaum showed that data mining problems can be viewed asstudy is a classic data mining problem. i A Dios, mi esposa,

  6. Text-mining applied to autoimmune disease research: the Sjögren¿s syndrome knowledge base

    E-Print Network [OSTI]

    Gorr, Sven-Ulrik; Wennblom, Trevor J; Horvath, Steve; Wong, David TW; Michie, Sara A

    2012-01-01T23:59:59.000Z

    as: Gorr et al. : Text-mining applied to autoimmune diseaseARTICLE Open Access Text-mining applied to autoimmunein the field, we used text mining to generate the Sjögren’s

  7. MINING METHODS USED IN THE UNDERGROUND TUNNELS AND TEST ROOMS AT STRIPA

    E-Print Network [OSTI]

    Andersson, B.

    2011-01-01T23:59:59.000Z

    Project RepOJ;t. No. S . . MINING METHODS USED IN THE4S l' lb !. ' at LBL-7081 SAC-08 MINING METHODS USED IN THEnot known exactly when mining started there, records Maximum

  8. LARGE SCALE PERMEABILITY TEST OF THE GRANITE IN THE STRIPA MINE AND THERMAL CONDUCTIVITY TEST

    E-Print Network [OSTI]

    Lundstrom, L.

    2011-01-01T23:59:59.000Z

    PERMEABILITY TEST OF THE GRANITE' IN THE STRIPA MINE AND,PERMEABILITY TEST OF THE GRANITE IN THE STRIPA MINE ANDPERMEABILITY TEST OF THE GRANITE IN THE STRIPA MINE AND

  9. The processes of industrial gold mining and inequality: a Ghanaian case study 

    E-Print Network [OSTI]

    Gawor, Natalie

    2011-11-24T23:59:59.000Z

    The research examined how inequality manifests itself through the processes of industrial gold mining using a case study of Newmont Mining Corporations’ Ahafo Gold Mine in Ghana. The pursuit of neoliberal development and ...

  10. Developing Efficient Algorithms for Data Mining Large Scale High Dimensional Data

    E-Print Network [OSTI]

    Zakaria, Jesin

    2013-01-01T23:59:59.000Z

    P. Indyk, and R. Motwani, “Mining the stock market: Whichneed for Time Series Data Mining Benchmarks: a survey andConference on Data Mining (SDM 2004). E. J. Ruiz, V.

  11. Behavior-Aware Design, Optimization and Information Mining in Wearable Sensing Systems

    E-Print Network [OSTI]

    Noshadi, Hyduke

    2012-01-01T23:59:59.000Z

    on Multi-Relational Data Mining. 89(1):111-129, 2009. [61]Conference on Data Mining, pages, 641-652, 2010. [109]Optimization and Information Mining in Wearable Sensing

  12. iSAX: disk-aware mining and indexing of massive time series datasets

    E-Print Network [OSTI]

    Shieh, Jin; Keogh, Eamonn

    2009-01-01T23:59:59.000Z

    on both indexing and data mining problems. Finally, in Sect.0125-6 iSAX: disk-aware mining and indexing of massive timeCurrent research in indexing and mining time series data has

  13. Pattern-Based Data Mining on Diverse Multimedia and Time Series Data

    E-Print Network [OSTI]

    Campana, Bilson Jake

    2012-01-01T23:59:59.000Z

    Compression-based data mining of sequential data, Data Min.Algorithm for Indexing, Data-Mining, and Visualization ofE. Keogh. Monitoring and Mining Insect Sounds in Visual

  14. Colliers in Corsets? Uncovering Stark County's Nineteenth-Century Coal Mining Women

    E-Print Network [OSTI]

    Sampson, Jason

    2012-01-01T23:59:59.000Z

    Nineteenth-Century Coal Mining Women According to the Uniteddid not enter underground mining until four decades ago. Theis that some women in the mining region of Stark County,

  15. WITS MINING : DISTINCTLY EXCEPTIONAL As the largest School of Mining Engineering in the English-speaking world, we continue to invest in

    E-Print Network [OSTI]

    Wagner, Stephan

    WITS MINING : DISTINCTLY EXCEPTIONAL As the largest School of Mining Engineering in the English-speaking world, we continue to invest in the knowledge and development of generations of mining engineers - the gems of our future. Wits School of Mining Engineering Prof Fred Cawood Head of School We have Size

  16. Chapter 3. Volume and Characteristics of Uranium Mine Wastes Uranium has been found and mined in a wide variety of rocks, including sandstone, carbonates1

    E-Print Network [OSTI]

    3-1 Chapter 3. Volume and Characteristics of Uranium Mine Wastes Uranium has been found and mined conventional mining, solution extraction, and milling of uranium, a principal focus of this report is TENORM, or which may need future reclamation. When uranium mining first started, most of the ores were recovered

  17. SILVER--2001 69.1 By Henry E. Hilliard

    E-Print Network [OSTI]

    than 1% of total domestic production of 1,740 t. Greens Creek Mine.--The Greens Creek Mine, near Juneau, AK, is a joint-venture arrangement with Hecla Mining Company, Kennecott Greens Creek Mining Company

  18. WIPP Employee Inducted Into Mine Rescue Hall of Fame - WIPP Teams...

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

    Waste Isolation Pilot Plant Blue Mine Rescue Team Captain Gary Kessler (right) receives an award from Neal Merrifield, administrator for the Mine Safety and Health Administration...

  19. Mining data on usage of electronic nicotine delivery systems (ENDS) from YouTube videos

    E-Print Network [OSTI]

    Talbot, Prue

    2013-01-01T23:59:59.000Z

    by group.bmj.com Research paper Mining data on usage of2013 - Published by group.bmj.com Mining data on usage of

  20. Stability evaluation of the Markel Mine at Weeks Island, Louisiana

    SciTech Connect (OSTI)

    Hoffman, E.L.

    1994-06-01T23:59:59.000Z

    A three dimensional (3D) finite element analysis of the Markel Mine located on Weeks Island was performed to: (1) evaluate the stability of the mine and (2) determine the effect of mine failure on the nearby Morton Salt mine and SPR facilities. The first part of the stability evaluation investigates the effect of pillar failure on mine stability. These simulations revealed that tensile stresses and dilatant damage develop in the overlying salt as a result of pillar loss. These tensile stresses extend to the salt/overburden interface only for the case where all 45 of the pillars are assumed to fail. Tensile stresses would likely cause microfracturing of the salt, resulting in a flow path for groundwater from the overlying aquifer to enter the mine. The dilatant damage bridges between the mine and the overburden in the case where 15 or more pillars are removed from the model. Dilatant damage is attributed to microfracturing or changes in the pore structure of the salt and could also result in a flow path for groundwater to enter the mine. The second part of the Markel Mine evaluation investigates the stability of the pillars with respect to three failure mechanisms: tensile failure, compressive failure, and creep rupture. A 3D slabbing pillar model of the Markel mine was developed to investigate progressive failure of the pillars and the effect of slabbing on mine stability. Based on a strain-limiting creep rupture criterion, pillar failure is predicted to be extensive at present. The associated loss of pillar strength should be equivalent to removing all pillars from the model as was done in the first part of this stability analysis, resulting in the possibility of ground water intrusion. Since creep rupture is not a well understood phenomenon, further development and validation of this criterion is recommended.