Sample records for year mining method

  1. Research at Mines Fiscal Year

    E-Print Network [OSTI]

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

  2. 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.

  3. 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.

  4. 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.

  5. 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

  6. Patent data mining method and apparatus

    DOE Patents [OSTI]

    Boyack, Kevin W. (Albuquerque, NM); Grafe, V. Gerald (Corrales, NM); Johnson, David K. (Albuquerque, NM); Wylie, Brian N. (Albuquerque, NM)

    2002-01-01T23:59:59.000Z

    A method of data mining represents related patents in a multidimensional space. Distance between patents in the multidimensional space corresponds to the extent of relationship between the patents. The relationship between pairings of patents can be expressed based on weighted combinations of several predicates. The user can select portions of the space to perceive. The user also can interact with and control the communication of the space, focusing attention on aspects of the space of most interest. The multidimensional spatial representation allows more ready comprehension of the structure of the relationships among the patents.

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

    E-Print Network [OSTI]

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

  8. 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

  9. 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

  10. Assessment of effective parameters on dilution using approximate reasoning methods in longwall mining method, Iran coal mines

    E-Print Network [OSTI]

    Owladeghaffari, H; Saeedi, G H R

    2008-01-01T23:59:59.000Z

    Approximately more than 90% of all coal production in Iranian underground mines is derived directly longwall mining method. Out of seam dilution is one of the essential problems in these mines. Therefore the dilution can impose the additional cost of mining and milling. As a result, recognition of the effective parameters on the dilution has a remarkable role in industry. In this way, this paper has analyzed the influence of 13 parameters (attributed variables) versus the decision attribute (dilution value), so that using two approximate reasoning methods, namely Rough Set Theory (RST) and Self Organizing Neuro- Fuzzy Inference System (SONFIS) the best rules on our collected data sets has been extracted. The other benefit of later methods is to predict new unknown cases. So, the reduced sets (reducts) by RST have been obtained. Therefore the emerged results by utilizing mentioned methods shows that the high sensitive variables are thickness of layer, length of stope, rate of advance, number of miners, type of...

  11. 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.

  12. USING GEOPHYSICAL METHODS TO IMAGE THE INTERNAL STRUCTURE OF MINE WASTE ROCK PILES

    E-Print Network [OSTI]

    Aubertin, Michel

    USING GEOPHYSICAL METHODS TO IMAGE THE INTERNAL STRUCTURE OF MINE WASTE ROCK PILES Campos, D.1-Noranda, Canada (bruno.bussiere@uqat.uquebec.ca) INTRODUCTION Mine waste rock piles, or rockwaste dumps rock piles. One of the most critical of these is water flow and water distribution in the waste rock

  13. Optimal Engineering System Design Guided by Data-Mining Methods

    E-Print Network [OSTI]

    Ding, Yu

    WORDS: Classification and regression tree; Fixture layout optimization; K-means clustering; Kriging of the data-mining­aided optimal design is clearly demonstrated by comparison with both local optimization

  14. Methods for Mining Protein Contact Maps Mohammed J. Zaki

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    . In this paper we describe how data mining can be used to extract valuable information from contact maps and genome mapping techniques. Genome sequencing projects have resulted in rapidly growing databases Seed Grant 1 #12;2 CHAPTER 1 databases. High performance data analysis algorithms are also becoming

  15. 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.

  16. 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 ...

  17. Comparing Data Mining Methods with Logistic Regression in Childhood Obesity Prediction

    E-Print Network [OSTI]

    Tjortjis, Christos

    1 Comparing Data Mining Methods with Logistic Regression in Childhood Obesity Prediction Shaoyan young children at risk of obesity be identified from their early growth records?" Pilot work using logistic regression to predict overweight and obese children demonstrated relatively limited success. Hence

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

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

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

  19. Solution mining systems and methods for treating hydrocarbon containing formations

    DOE Patents [OSTI]

    Vinegar, Harold J. (Bellaire, TX); de Rouffignac, Eric Pierre (Rijswijk, NL); Schoeling, Lanny Gene (Katy, TX)

    2009-07-14T23:59:59.000Z

    A method for treating an oil shale formation comprising nahcolite is disclosed. The method includes providing a first fluid to a portion of the formation through at least two injection wells. A second fluid is produced from the portion through at least one injection well until at least two injection wells are interconnected such that fluid can flow between the two injection wells. The second fluid includes at least some nahcolite dissolved in the first fluid. The first fluid is injected through one of the interconnected injection wells. The second fluid is produced from at least one of the interconnected injection wells. Heat is provided from one or more heaters to the formation to heat the formation. Hydrocarbon fluids are produced from the formation.

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

    E-Print Network [OSTI]

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

  1. The 'Mine/Yours' method of international comparisons of carbon emissions

    SciTech Connect (OSTI)

    Murtishaw, Scott; Schipper, Lee; Unander, Fridtjof

    2000-09-01T23:59:59.000Z

    In previous work (Schipper, Unander & Lilliu 1999), we summarized a new method for comparing energy use and carbon emissions among various countries. We call this the ''Mine/Yours'' comparison. In this paper, we provide details of the comparisons methodology, and carry out the comparison on a number of IEA countries. We calculate the average energy intensities I for a sample of countries (''yours'') and multiply them by structural parameters S for a particular country (''mine''). Comparing the results with the actual energy use of the country in question gives us an estimate of how much energy that country would use with average intensities but with its own structural conditions. The converse can be calculated as well, that is, average structure and own intensities. Emissions can be introduced through the F (fuel mix) term. These calculations show where differences in the components of emissions lead to large gaps among countries, and where those differences are not important. We show which components cause the largest variance in emissions by sector. In households, home size, average winter climate, and energy intensity appear to be the most important differentiating characteristics for space heating. For other residential energy uses the mix of fuels used to generate electricity (utility mix) is most important. Because some of the differences are ''built in'' - geography, climate, natural resources endowment - we conclude by questioning whether uniform emissions reductions targets make sense. Indeed, the ''Mine/Yours'' tool provides a valuable guide to important ways in which emissions may or may not be flexible.

  2. 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...

  3. Detection and monitoring of high stress concentration zones induced by coal mining using numerical and microseismic methods

    E-Print Network [OSTI]

    Boyer, Edmond

    1). In the zone investigated, the seams worked lie in two clusters: lower and upper of soft coal of the site The Irma coal seam is worked using the longwall caving method. The width of the working face2001-55 Detection and monitoring of high stress concentration zones induced by coal mining using

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

    SciTech Connect (OSTI)

    Duchane, David

    1991-01-01T23:59:59.000Z

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

  6. 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.

  7. Engineering geologic feasibility of lignite mining in alluvial valleys by hydraulic dredging methods

    E-Print Network [OSTI]

    Cason, Cynthia Lynn

    1982-01-01T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . . . . . 135 64 Lignite volume calculation blocks, test mine site, Grimes County, Texas 166 INTRODUCTION Federal policies emphasizing the need for energy independence in conjunction with continuously escalating costs in all phases of U. S. oil and gas... lignites. North of the Colorado South of the Colorado River River OLIGOCENE CATAHQULA FORMATION Whitsett Formation EQCENE JACXSQN GROUp Manning Formation* Wellborn Formation lower Jackson* Caddell Formation EOCENE CLAIBORNE GROUP Yegua Formation...

  8. 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...

  9. 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

  10. 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

  11. YEAR

    National Nuclear Security Administration (NNSA)

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

  12. YEAR

    National Nuclear Security Administration (NNSA)

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

  13. YEAR

    National Nuclear Security Administration (NNSA)

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

  14. YEAR

    National Nuclear Security Administration (NNSA)

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

  15. YEAR

    National Nuclear Security Administration (NNSA)

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

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    National Nuclear Security Administration (NNSA)

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

  17. YEAR

    National Nuclear Security Administration (NNSA)

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

  18. YEAR

    National Nuclear Security Administration (NNSA)

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

  19. YEAR

    National Nuclear Security Administration (NNSA)

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

  20. 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.

  1. YEAR

    National Nuclear Security Administration (NNSA)

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

  2. YEAR

    National Nuclear Security Administration (NNSA)

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

  3. YEAR

    National Nuclear Security Administration (NNSA)

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

  4. YEAR

    National Nuclear Security Administration (NNSA)

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

  5. 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...

  6. 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...

  7. Method of locating related items in a geometric space for data mining

    DOE Patents [OSTI]

    Hendrickson, Bruce A. (Albuquerque, NM)

    1999-01-01T23:59:59.000Z

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity.

  8. Method of locating related items in a geometric space for data mining

    DOE Patents [OSTI]

    Hendrickson, B.A.

    1999-07-27T23:59:59.000Z

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity. 12 figs.

  9. 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.

  10. 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

  11. Method using a density field for locating related items for data mining

    DOE Patents [OSTI]

    Wylie, Brian N. (Albuquerque, NM)

    2002-01-01T23:59:59.000Z

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method makes use of numeric values as a measure of similarity between each pairing of items. The items are given initial coordinates in the space. An energy is then determined for each item from the item's distance and similarity to other items, and from the density of items assigned coordinates near the item. The distance and similarity component can act to draw items with high similarities close together, while the density component can act to force all items apart. If a terminal condition is not yet reached, then new coordinates can be determined for one or more items, and the energy determination repeated. The iteration can terminate, for example, when the total energy reaches a threshold, when each item's energy is below a threshold, after a certain amount of time or iterations.

  12. 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,...

  13. 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

  14. 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.

  15. 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 . . . . . . . . .

  16. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4 YEAR

  17. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4 YEAR7

  18. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43 YEAR

  19. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144 YEAR

  20. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 2013

  1. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 20138

  2. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 201387

  3. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR

  4. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR558

  5. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR558563

  6. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR85573380 YEAR

  7. 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.

  8. YEAR

    National Nuclear Security Administration (NNSA)

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

  9. Method of data mining including determining multidimensional coordinates of each item using a predetermined scalar similarity value for each item pair

    DOE Patents [OSTI]

    Meyers, Charles E. (Albuquerque, NM); Davidson, George S. (Albuquerque, NM); Johnson, David K. (Albuquerque, NM); Hendrickson, Bruce A. (Albuquerque, NM); Wylie, Brian N. (Albuquerque, NM)

    1999-01-01T23:59:59.000Z

    A method of data mining represents related items in a multidimensional space. Distance between items in the multidimensional space corresponds to the extent of relationship between the items. The user can select portions of the space to perceive. The user also can interact with and control the communication of the space, focusing attention on aspects of the space of most interest. The multidimensional spatial representation allows more ready comprehension of the structure of the relationships among the items.

  10. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 2008 A794826 YEAR

  11. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR 2014

  12. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR 201434

  13. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR

  14. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4

  15. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43

  16. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR434

  17. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43417

  18. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR434170

  19. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR 2012

  20. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR

  1. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR42

  2. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR424

  3. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR4247

  4. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR42478

  5. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR

  6. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR40

  7. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR4096

  8. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486111 YEAR

  9. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486111 YEAR17

  10. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 2008748611196 YEAR

  11. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014 Males

  12. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014 Males16

  13. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014

  14. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144

  15. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144707

  16. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 201447072540

  17. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR

  18. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8

  19. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 563

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    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 56378

  1. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 5637831

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    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 56378318

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    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557

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    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 28

  5. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 280

  6. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 2801

  7. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 280192

  8. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733

  9. Year

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and.

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

    SciTech Connect (OSTI)

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

    2003-03-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2003-08-01T23:59:59.000Z

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

  12. 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

  13. Formal Methods for First Years Faron Moller Liam O'Reilly

    E-Print Network [OSTI]

    Moller, Faron G.

    computer programs (the mathematical software) and building computers (the engineering hardware). Textbooks as bridges or aeroplanes, and a canon of mathematical methods for modelling computing systems is thereforeFormal Methods for First Years Faron Moller Liam O'Reilly Department of Computer Science Swansea

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. ECE 501 the Project in lieu of Thesis Mine Detection Techniques Using Multiple Sensors

    E-Print Network [OSTI]

    Abidi, Mongi A.

    This work has four main objects, to survey previous research about mine detection, to collect signature data for the segmentation method. These methods are tested with actual mine data. #12;Table of Content Mine DetectionECE 501 the Project in lieu of Thesis Mine Detection Techniques Using Multiple Sensors Cheolha

  11. Mining information from binary black hole mergers: a comparison of estimation methods for complex exponentials in noise

    E-Print Network [OSTI]

    Emanuele Berti; Vitor Cardoso; Jose A. Gonzalez; Ulrich Sperhake

    2007-06-17T23:59:59.000Z

    The ringdown phase following a binary black hole merger is usually assumed to be well described by a linear superposition of complex exponentials (quasinormal modes). In the strong-field conditions typical of a binary black hole merger, non-linear effects may produce mode coupling. Artificial mode coupling can also be induced by the black hole's rotation, if the radiation field is expanded in terms of spin-weighted spherical (rather than spheroidal) harmonics. Observing deviations from linear black hole perturbation theory requires optimal fitting techniques to extract ringdown parameters from numerical waveforms, which are inevitably affected by errors. So far, non-linear least-squares fitting methods have been used as the standard workhorse to extract frequencies from ringdown waveforms. These methods are known not to be optimal for estimating parameters of complex exponentials. Furthermore, different fitting methods have different performance in the presence of noise. The main purpose of this paper is to introduce the gravitational wave community to modern variations of a linear parameter estimation technique first devised in 1795 by Prony: the Kumaresan-Tufts and matrix pencil methods. Using "test" damped sinusoidal signals in Gaussian white noise we illustrate the advantages of these methods, showing that they have variance and bias at least comparable to standard non-linear least-squares techniques. Then we compare the performance of different methods on unequal-mass binary black hole merger waveforms. The methods we discuss should be useful both theoretically (to monitor errors and search for non-linearities in numerical relativity simulations) and experimentally (for parameter estimation from ringdown signals after a gravitational wave detection).

  12. 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.

  13. 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.

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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...

  19. 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...

  20. 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...

  1. 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

  2. A data mining approach to forming generic bills of materials in support of variant design activities

    E-Print Network [OSTI]

    Nagi, Rakesh

    1 A data mining approach to forming generic bills of materials in support of variant design. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities through data mining methods such as text and tree mining, a new tree union procedure, and embodying

  3. 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...

  4. Computer modeling and simulation of Black Warrior Basin formation: Annual report for the 1987--1988 SOMED (School of Mines and Energy Development) project year

    SciTech Connect (OSTI)

    Visscher, P.B.

    1988-01-01T23:59:59.000Z

    Computer simulations have been performed, aimed at achieving a better understanding of the geological and physical processes involved in the formation of sedimentary basins in general and the Black Warrior basin of Alabama and Mississippi in particular. Microscopic-level computer modeling of sandstone porosity reduction has been done, elucidating the detailed small-scale dynamics which lead to the geological phenomenon of pressure solution. A new technique has been developed for 1D burial and thermal modeling of sedimentary basins based on stratigraphic data from test wells. It is significantly faster than previous methods, and can be used in interactive menu-oriented program requiring relatively little learning time or prior computer experience. This allows a geologist to rapidly determine the results of various different hypotheses about basin formation, providing insight which may help determine which is correct. A program has also been written to simulate tectonic-plate collisions and rifting processes using viscoelastic hydrodynamics.

  5. 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

  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. 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...

  8. 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...

  9. 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

  10. 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

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

    E-Print Network [OSTI]

    Peach, Allen Edward

    2001-01-01T23:59:59.000Z

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

  12. 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.

  13. 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.

  14. 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...

  15. 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...

  16. 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

  17. 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

  18. Oil shale mining cost analysis. Volume I. Surface retorting process. Final report

    SciTech Connect (OSTI)

    Resnick, B.S.; English, L.M.; Metz, R.D.; Lewis, A.G.

    1981-01-01T23:59:59.000Z

    An Oil Shale Mining Economic Model (OSMEM) was developed and executed for mining scenarios representative of commercially feasible mining operations. Mining systems were evaluated for candidate sites in the Piceance Creek Basin. Mining methods selected included: (1) room-and-pillar; (2) chamber-and-pillar, with spent shale backfilling; (3) sublevel stopping; and (4) sublevel stopping, with spent shale backfilling. Mines were designed to extract oil shale resources to support a 50,000 barrels-per-day surface processing facility. Costs developed for each mining scenario included all capital and operating expenses associated with the underground mining methods. Parametric and sensitivity analyses were performed to determine the sensitivity of mining cost to changes in capital cost, operating cost, return on investment, and cost escalation.

  19. 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.

  20. 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...

  1. 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...

  2. 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.

  3. 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...

  4. 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...

  5. 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

  6. 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...

  7. VULNERABILITY ASSESSMENT FOR MINING SUBSIDENCE HAZARD DECK Olivier1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , roads, public facilities and public functions) as well as they deal with method of assessment is of a highly accidental nature when it takes place over mines that use abandoned rooms and pillars method even

  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. 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

  10. 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.

  11. Automated Data Mining from Web Servers Using Perl Script

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Automated Data Mining from Web Servers Using Perl Script Sandeep Neeli , Kannan Govindasamy IL, USA olekmali@bradley.edu Abstract-Data mining from the Web is the process of extracting essential data from any web server. In this paper, we present a method called Ethernet Robot to extract

  12. A Survey on Wavelet Applications in Data Mining Department of

    E-Print Network [OSTI]

    Li, Tao

    A Survey on Wavelet Applications in Data Mining Tao Li Department of Computer Science Univ in the use of wavelet methods in various data mining processes. However, there has been written. Then applications of wavelets for each component are reviewd. The paper concludes by discussing the impact

  13. Data mining with sparse grids using simplicial basis functions

    E-Print Network [OSTI]

    Sminchisescu, Cristian

    Data mining with sparse grids using simplicial basis functions Jochen Garcke and Michael Griebel we presented a new approach [18] to the classifi- cation problem arising in data mining. It is based with the number of given data points. Finally we report on the quality of the classifier built by our new method

  14. WEB STRUCTURE ANALYSIS FOR INFORMATION MINING Vijjappu Lakshmi,1

    E-Print Network [OSTI]

    Tan, Chew Lim

    and Mooney8 described a system called DiscoTEX that combines IE and data mining methods to perform textCHAPTER ? WEB STRUCTURE ANALYSIS FOR INFORMATION MINING Vijjappu Lakshmi,1 Ah-Hwee Tan,2 and Chew et al.4 #12;2 Lakshmi et al. reported that greater accuracy could be achieved by representing each

  15. 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

  16. BUILDING AN INCLUSIVE CONNECTIVE CORRIDOR OF INNOVATIVE AND SUSTAINED PARTNERSHIPS opinion mining

    E-Print Network [OSTI]

    Doyle, Robert

    BUILDING AN INCLUSIVE CONNECTIVE CORRIDOR OF INNOVATIVE AND SUSTAINED PARTNERSHIPS opinion mining sentiment analysis social computing social media in marketing text mining BEI YU Assistant Professor School in developing text mining methods, especially emotion and opinion analysis approaches, to support data

  17. Data mining in an engineering design environment: OR applications from graph matching1

    E-Print Network [OSTI]

    Nagi, Rakesh

    1 Data mining in an engineering design environment: OR applications from graph matching1 Carol J York 14623 Abstract Data mining has been making inroads into the engineering design environment ­ an area that generates large amounts of heterogeneous data for which suitable mining methods

  18. Data Mining Approach to Ab-Initio Prediction of Crystal Structure Dane Morgan, Gerbrand Ceder

    E-Print Network [OSTI]

    Curtarolo, Stefano

    Data Mining Approach to Ab-Initio Prediction of Crystal Structure Dane Morgan, Gerbrand Ceder of possible structures for new alloys. Here we describe ongoing work on a novel method (Data Mining of Quantum Calculations, or DMQC) that applies data mining techniques to existing ab initio data in order to increase

  19. Mining Feature Importance: Applying Evolutionary Algorithms within a Web-based Educational System

    E-Print Network [OSTI]

    Mining Feature Importance: Applying Evolutionary Algorithms within a Web-based Educational System@lite.msu.edu http://www.lon-capa.org ABSTRACT A key objective of data mining is to uncover the hidden relationships-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied

  20. A Case of Visual and Interactive Data Analysis: Geospatial Redescription Mining

    E-Print Network [OSTI]

    A Case of Visual and Interactive Data Analysis: Geospatial Redescription Mining Esther Galbrun1¨ucken, Germany, pmiettin@mpi-inf.mpg.de Abstract. We present a method for visual and interactive geospatial redescription mining. The goal of geospatial redescription mining is to characterize geospatial areas using two

  1. Mining Logs Files for Data-Driven System Management School of Computer Science

    E-Print Network [OSTI]

    Li, Tao

    Mining Logs Files for Data-Driven System Management Wei Peng School of Computer Science Florida of the log files have been less emphasized in existing methods from data mining and machine learning in data representation pose new challenges. In this paper, we will describe our research efforts on mining

  2. Mining for Insider Threats in Business Transactions and Processes William Eberle and Lawrence Holder, Members, IEEE

    E-Print Network [OSTI]

    Eberle, William

    has led to an increase in pertinent data mining activity. Most of these approaches have dealt to mine relational data has become important for detecting structural patterns. Recently there has been an impetus towards analyzing relational data using graph theoretic methods [2]. Graph-based data mining

  3. 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.

  4. 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

  5. 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 . . . . .

  6. 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.

  7. 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...

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

    E-Print Network [OSTI]

    Fong, Chi Chiu "Simon"

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

  9. System and methods for predicting transmembrane domains in membrane proteins and mining the genome for recognizing G-protein coupled receptors

    DOE Patents [OSTI]

    Trabanino, Rene J; Vaidehi, Nagarajan; Hall, Spencer E; Goddard, William A; Floriano, Wely

    2013-02-05T23:59:59.000Z

    The invention provides computer-implemented methods and apparatus implementing a hierarchical protocol using multiscale molecular dynamics and molecular modeling methods to predict the presence of transmembrane regions in proteins, such as G-Protein Coupled Receptors (GPCR), and protein structural models generated according to the protocol. The protocol features a coarse grain sampling method, such as hydrophobicity analysis, to provide a fast and accurate procedure for predicting transmembrane regions. Methods and apparatus of the invention are useful to screen protein or polynucleotide databases for encoded proteins with transmembrane regions, such as GPCRs.

  10. Cost comparison of selected US and South African coal mines

    SciTech Connect (OSTI)

    Not Available

    1990-04-01T23:59:59.000Z

    The report on the South African coal industry is the fourth in a series of studies on coal exporting countries requested by the House Appropriations Committee. The committee requested that the basic differences in mining costs for U.S. and foreign mines be identified, especially those costs incurred in complying with health, safety, and environmental regulations. Basic costs in extracting raw coal are analyzed for two mining methods -- underground conventional mining and open-pit operations. In the report there is also a limited analysis of the relative market competitiveness of selected South African and U.S. steam coal mines in electric utility markets in Japan, Western Europe, and the U.S. Gulf Coast area. The South African Government prohibits the exports of hard metallurgical coal.

  11. Mining problems caused by tectonic stress in Illinois basin

    SciTech Connect (OSTI)

    Nelson, W.J. (Illinois State Geological Survey, Champaign (United States))

    1991-08-01T23:59:59.000Z

    The Illinois basin coalfield is subject to a contemporary tectonic stress field in which the principal compressive stress axis ({sigma}1) is horizontal and strikes N60{degree}E to east-west. This stress is responsible for widespread development of kind zones and directional roof failures in mine headings driven perpendicular to {sigma}1. Also, small thrust faults perpendicular to {sigma}1 and joints parallel to {sigma}1 weaken the mine roof and occasionally admit water and gas to workings, depending upon geologic setting. The direction of magnitude of stress have been identified by a variety of techniques that can be applied both prior to mining and during development. Mining experience shows that the best method of minimizing stress-related problems is to drive mine headings at about 45 to {sigma}1.

  12. 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

  13. 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...

  14. 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...

  15. 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

  16. 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

  17. 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

  18. State-of-the-art techniques for backfilling abandoned mine voids. Information circular/1993

    SciTech Connect (OSTI)

    Walker, J.S.

    1993-01-01T23:59:59.000Z

    Abandoned underground mine openings are susceptible to collapse because of the mining methods used, the character of the overburden, and the typically large wide entries with minimal roof support. The final effect of the collapse of the underground workings is surface subsidence. To reduce the probability of subsidence, methods to backfill the mine void with various types of materials have been developed. The paper describes the available technologies for subsidence abatement and discusses their operation and application.

  19. Defining manganese(II) removal processes in passive coal mine drainage treatment systems through laboratory incubation experiments

    E-Print Network [OSTI]

    Burgos, William

    - trations. At operating coal mines, the most commonly used ``active treatment'' method to remove MnDefining manganese(II) removal processes in passive coal mine drainage treatment systems through for the passive removal of Mn(II) from coal mine drainage (CMD). Aqueous Mn(II) is removed via oxidative

  20. Distinct element modelling and mining induced subsidence: Influence of the major faults Modelisation des affaissements miniers :Influence des faules

    E-Print Network [OSTI]

    Boyer, Edmond

    , Nancy, France ABSTRACT :This study examines the subsidence due to Underground mining works in a coal mine in France. Coal is mined at a depth reaching 1000 m, according to longwall face method with caving. The seam ranges between 2 and 3.4 m in thickness. The dip strata does not exceed 10°. As predicted

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

    E-Print Network [OSTI]

    Dzeroski, Saso

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

  2. ADVANCED UNDERGROUND GAS STORAGE CONCEPTS REFRIGERATED-MINED CAVERN STORAGE

    SciTech Connect (OSTI)

    NONE

    1998-09-01T23:59:59.000Z

    Limited demand and high cost has prevented the construction of hard rock caverns in this country for a number of years. The storage of natural gas in mined caverns may prove technically feasible if the geology of the targeted market area is suitable; and economically feasible if the cost and convenience of service is competitive with alternative available storage methods for peak supply requirements. It is believed that mined cavern storage can provide the advantages of high delivery rates and multiple fill-withdrawal cycles in areas where salt cavern storage is not possible. In this research project, PB-KBB merged advanced mining technologies and gas refrigeration techniques to develop conceptual designs and cost estimates to demonstrate the commercialization potential of the storage of refrigerated natural gas in hard rock caverns. Five regions of the U.S.A. were studied for underground storage development and PB-KBB reviewed the literature to determine if the geology of these regions was suitable for siting hard rock storage caverns. Area gas market conditions in these regions were also studied to determine the need for such storage. Based on an analysis of many factors, a possible site was determined to be in Howard and Montgomery Counties, Maryland. The area has compatible geology and a gas industry infrastructure for the nearby market populous of Baltimore and Washington D.C.. As Gas temperature is lowered, the compressibility of the gas reaches an optimum value. The compressibility of the gas, and the resultant gas density, is a function of temperature and pressure. This relationship can be used to commercial advantage by reducing the size of a storage cavern for a given working volume of natural gas. This study looks at this relationship and and the potential for commercialization of the process in a storage application. A conceptual process design, and cavern design were developed for various operating conditions. Potential site locations were considered and a typical plant layout was developed. In addition a geomechanical review of the proposed cavern design was performed, evaluating the stability of the mine rooms and shafts, and the effects of the refrigerated gas temperatures on the stability of the cavern. Capital and operating cost estimates were also developed for the various temperature cases considered. The cost estimates developed were used to perform a comparative market analysis of this type of gas storage system to other systems that are commercially used in the region of the study.

  3. Capture and Use of Coal Mine Ventilation Air Methane

    SciTech Connect (OSTI)

    Deborah Kosmack

    2008-10-31T23:59:59.000Z

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

  4. 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

  5. MINING A DATABASE ON ALSATIAN RIVERS C. GRAC, A. HERRMANN, F. LE BER

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    MINING A DATABASE ON ALSATIAN RIVERS C. GRAC, A. HERRMANN, F. LE BER CEVH UMR MA 101, ENGEES, 1 of a database gathering the physical, physico-chemical, floristic (diatoms and macrophytes), and faunistic data are implementing data mining methods to explore the database. These methods are used to find out regularities

  6. 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.

  7. 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

  8. 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...

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

    SciTech Connect (OSTI)

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

    2007-07-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Pardini, Allan F.

    2005-08-16T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Yang, Qiang

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

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

    SciTech Connect (OSTI)

    Skinner, A.

    2007-07-15T23:59:59.000Z

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

  13. Gene Mapping by Haplotype Pattern Mining Hannu T.T. Toivonen 1;2 , Pivi Onkamo 2 , Kari Vasko 3;2 , Vesa Ollikainen 4 ,

    E-Print Network [OSTI]

    Toivonen, Hannu

    gene than control individuals. We describe a new gene mapping method, Haplotype Pattern Mining (HPM Haplotype Pattern Mining (HPM). Instead of looking at isolated markers or sequences of consecutive markers

  14. 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,

  15. 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

  16. 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.

  17. 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:

  18. 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

  19. 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:

  20. 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

  1. DEVELOPING AND EXPLOITING A UNIQUE DATASET FROM SOUTH AFRICAN GOLD MINES FOR SOURCE CHARACTERIZATION AND WAVE PROPAGATION

    SciTech Connect (OSTI)

    Julia, J; Nyblade, A; Gok, R; Walter, W; Linzer, L; Durrheim, R

    2009-07-06T23:59:59.000Z

    In this project, we are developing and exploiting a unique seismic dataset to address the characteristics of small seismic events and the associated seismic signals observed at local (< 200 km) and regional (< 2000 km) distances. The dataset is being developed using mining-induced events from three deep gold mines in South Africa recorded on in-mine networks (< 1 km) composed of tens of high-frequency sensors, a network of four broadband stations installed as part of this project at the surface around the mines (1-10 km), and a network of existing broadband seismic stations at local/regional distances (50-1000 km) from the mines. Data acquisition has now been completed and includes: (1) {approx}2 years (2007 and 2008) of continuous recording by the surface broadband array, and (2) tens of thousands of mine tremors in the -3.4 < ML < 4.4 local magnitude range. Events with positive magnitudes are generally well recorded by the surface-mine stations, while magnitudes of 3.0 and larger are seen at regional distances (up to {approx} 600 km) in high-pass filtered recordings. We have now completed the quality control of the in-mine data gathered at the three gold mines included in this project. The quality control consisted of: (1) identification and analysis of outliers among the P- and S-wave travel-time picks reported by the in-mine network operator and (2) verification of sensor orientations. The outliers have been identified through a 'Wadati filter' that searches for the largest subset of P- and S-wave travel-time picks consistent with a medium of uniform wave-speed. They have observed that outliers are generally picked at a few select stations. They have also detected that trigger times were mistakenly reported as origin times by the in-mine network operator, and corrections have been obtained from the intercept times in the Wadati diagrams. Sensor orientations have been verified through rotations into the local ray-coordinate system and, when possible, corrected by correlating waveforms obtained from theoretical and empirical rotation angles. Full moment tensor solutions have been obtained for selected events within the Savuka network volume, with moment magnitudes in the 0.5 < M{sub W} < 2.6 range. The solutions were obtained by inverting P-, SV-, and SH-spectral amplitudes measured on the theoretically rotated waveforms with visually assigned polarities. Most of the solutions have a non-zero implosive contribution (47 out of 76), while a small percentage is purely deviatoric (10 out of 76). The deviatoric moment tensors range from pure double couple to pure non-double couple mechanisms. We have also calibrated the regional stations for seismic coda-derived source spectra and moment magnitude using the envelope methodology of Mayeda et al. (2003). they tie the coda M{sub w} to independent values from waveform modeling. The resulting coda-based source spectra of shallow mining-related events show significant spectral peaking that is not seen in deeper tectonic earthquakes. This coda peaking may be an independent method of identifying shallow events and is similar to coda peaking with previously observed for Nevada explosions, where the frequency of the observed spectral peak correlates with the depth of burial (Murphy et al., 2009).

  2. 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.

  3. 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...

  4. 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

  5. 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...

  6. 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...

  7. 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...

  8. 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

  9. 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.

  10. 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.

  11. 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

  12. 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

  13. Advanced Underground Gas Storage Concepts: Refrigerated-Mined Cavern Storage, Final Report

    SciTech Connect (OSTI)

    none

    1998-09-30T23:59:59.000Z

    Over the past 40 years, cavern storage of LPG's, petrochemicals, such as ethylene and propylene, and other petroleum products has increased dramatically. In 1991, the Gas Processors Association (GPA) lists the total U.S. underground storage capacity for LPG's and related products of approximately 519 million barrels (82.5 million cubic meters) in 1,122 separate caverns. Of this total, 70 are hard rock caverns and the remaining 1,052 are caverns in salt deposits. However, along the eastern seaboard of the U.S. and the Pacific northwest, salt deposits are not available and therefore, storage in hard rocks is required. Limited demand and high cost has prevented the construction of hard rock caverns in this country for a number of years. The storage of natural gas in mined caverns may prove technically feasible if the geology of the targeted market area is suitable; and economically feasible if the cost and convenience of service is competitive with alternative available storage methods for peak supply requirements. Competing methods include LNG facilities and remote underground storage combined with pipeline transportation to the area. It is believed that mined cavern storage can provide the advantages of high delivery rates and multiple fill withdrawal cycles in areas where salt cavern storage is not possible. In this research project, PB-KBB merged advanced mining technologies and gas refrigeration techniques to develop conceptual designs and cost estimates to demonstrate the commercialization potential of the storage of refrigerated natural gas in hard rock caverns. DOE has identified five regions, that have not had favorable geological conditions for underground storage development: New England, Mid-Atlantic (NY/NJ), South Atlantic (DL/MD/VA), South Atlantic (NC/SC/GA), and the Pacific Northwest (WA/OR). PB-KBB reviewed published literature and in-house databases of the geology of these regions to determine suitability of hard rock formations for siting storage caverns, and gas market area storage needs of these regions.

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

    E-Print Network [OSTI]

    Dixon, Thomas Pingul

    2005-02-17T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Huff, James Eric

    2001-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1996-09-01T23:59:59.000Z

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

  17. NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System

    E-Print Network [OSTI]

    Ezeife, Christie

    NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System C.I. Ezeife wireless intrusion detection systems, this paper presents a method of applying artificial neural networks mining clas- sification technique to wireless network intrusion detection system. The proposed system

  18. 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

  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. Identification of Successful Practices in Hydraulic Fracturing Using Intelligent Data Mining Tools; Application to the Codell Formation in the DJ Basin

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Mining Tools; Application to the Codell Formation in the DJ ­Basin Mohaghegh, S.D., Popa, A., Gaskari, R.O. Box 833836, Richardson, TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract In a detail data mining a comprehensive set of methods and processes for data mining, knowledge discovery, and data-knowledge fusion from

  5. The Economic Impact of Coal Mining in New Mexico

    SciTech Connect (OSTI)

    Peach, James; Starbuck, C.

    2009-06-01T23:59:59.000Z

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

  6. 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.

  7. Restoring Sustainable Forests on Appalachian Mined Lands for Wood Products, Renewable Energy, Carbon Sequestration, and Other Ecosystem Services

    SciTech Connect (OSTI)

    Burger, James A

    2005-07-20T23:59:59.000Z

    The overall purpose of this project is to evaluate the biological and economic feasibility of restoring high-quality forests on mined land, and to measure carbon sequestration and wood production benefits that would be achieved from forest restoration procedures. We are currently estimating the acreage of lands in Virginia, West Virginia, Kentucky, Ohio, and Pennsylvania mined under SMCRA and reclaimed to non-forested post-mining land uses that are not currently under active management, and therefore can be considered as available for carbon sequestration. To determine actual sequestration under different forest management scenarios, a field study was installed as a 3 x 3 factorial in a random complete block design with three replications at each of three locations, one each in Ohio, West Virginia, and Virginia. The treatments included three forest types (white pine, hybrid poplar, mixed hardwood) and three silvicultural regimes (competition control, competition control plus tillage, competition control plus tillage plus fertilization). Each individual treatment plot is 0.5 acres. Each block of nine plots is 4.5 acres, and the complete installation at each site is 13.5 acres. During the reporting period we determined that by grinding the soil samples to a finer particle size of less than 250 ?m (sieve No. 60), the effect of mine soil coal particle size on the extent to which these particles will be oxidized during the thermal treatment of the carbon partitioning procedure will be eliminated, thus making the procedure more accurate and precise. In the second phase of the carbon sequestration project, we focused our attention on determining the sample size required for carbon accounting on grassland mined fields in order to achieve a desired accuracy and precision of the final soil organic carbon (SOC) estimate. A mine land site quality classification scheme was developed and some field-testing of the methods of implementation was completed. The classification model has been validated for softwoods (white pine) on several reclaimed mine sites in the southern Appalachian coal region. The classification model is a viable method for classifying post-SMCRA abandoned mined lands into productivity classes for white pine. A thinning study was established as a random complete block design to evaluate the response to thinning of a 26-year-old white pine stand growing on a reclaimed surface mine in southwest Virginia. Stand parameters were projected to age 30 using a stand table projection. Site index of the stand was found to be 32.3 m at base age 50 years. Thinning rapidly increased the diameter growth of the residual trees to 0.84 cm yr{sup -1} compared to 0.58 cm yr{sup -1} for the unthinned treatment; however, at age 26, there was no difference in volume or value per hectare. At age 30, the unthinned treatment had a volume of 457.1 m{sup 3} ha{sup -1} but was only worth $8807 ha{sup -1}, while the thinned treatment was projected to have 465.8 m{sup 3} ha{sup -1}, which was worth $11265 ha{sup -1} due to a larger percentage of the volume being in sawtimber size classes.

  8. Method of investigations, estimation and classification of roofs in mines in the United States of America for the selection of suitable mechanized support for longwalls. Report No. 3, September 1, 1980-December 31, 1980

    SciTech Connect (OSTI)

    Kidybinski, A.

    1980-12-01T23:59:59.000Z

    A group of Polish engineers visited the US as part of an international cooperation program. They used their instruments to measure the properties of the roof rocks in 4 American underground mines. The data are given in the report with formulae for calculating the rock properties. Suggestions for improved design of the penetrometer used in the measurements are made (mostly those were required because of the hardness of the rocks and to facilitate the taking of the data). (LTN)

  9. 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,...

  10. 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...

  11. 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.

  12. 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

  13. 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

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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

  2. 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,

  3. 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 ~

  4. RESTORING SUSTAINABLE FORESTS ON APPALACHIAN MINED LANDS FOR WOOD PRODUCTS, RENEWABLE ENERGY, CARBON SEQUESTRATION, AND OTHER ECOSYSTEM SERVICES

    SciTech Connect (OSTI)

    James A. Burger; J. Galbraith; T. Fox; G. Amacher; J. Sullivan; C. Zipper

    2005-06-08T23:59:59.000Z

    The overall purpose of this project is to evaluate the biological and economic feasibility of restoring high-quality forests on mined land, and to measure carbon sequestration and wood production benefits that would be achieved from forest restoration procedures. We are currently estimating the acreage of lands in VA, WV, KY, OH, and PA mined under SMCRA and reclaimed to non-forested post-mining land uses that are not currently under active management, and therefore can be considered as available for carbon sequestration. To determine actual sequestration under different forest management scenarios, a field study was installed as a 3 x 3 factorial in a random complete block design with three replications at each of three locations, Ohio, West Virginia, and Virginia. The treatments included three forest types (white pine, hybrid poplar, mixed hardwood) and three silvicultural regimes (competition control, competition control plus tillage, competition control plus tillage plus fertilization). Each individual treatment plot is 0.5 acres. Each block of nine plots is 4.5 acres, and the complete installation at each site is 13.5 acres. During the reporting period we compiled and evaluated all soil properties measured on the study sites. Statistical analysis of the properties was conducted, and first year survival and growth of white pine, hybrid poplars, and native hardwoods was assessed. Hardwood species survived better at all sites than white pine or hybrid poplar. Hardwood survival across treatments was 80%, 85%, and 50% for sites in Virginia, West Virginia, and Ohio, respectively, while white pine survival was 27%, 41%, and 58%, and hybrid poplar survival was 37%, 41%, and 72% for the same sites, respectively. Hybrid poplar height and diameter growth were superior to those of the other species tested, with the height growth of this species reaching 126.6cm after one year in the most intensive treatment at the site in Virginia. To determine carbon in soils on these sites, we developed a cost-effective method for partitioning total soil carbon to pedogenic carbon and geogenic carbon in mine soils. We are in the process of evaluating the accuracy and precision of the proposed carbon partitioning technique for which we are designing an experiment with carefully constructed mine soil samples. In a second effort, as part of a mined land reforestation project for carbon sequestration in southwestern Virginia we implemented the first phase of the carbon monitoring protocol that was recently delivered to DOE.

  5. 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...

  6. 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...

  7. 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...

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

    SciTech Connect (OSTI)

    NONE

    1998-08-31T23:59:59.000Z

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

  9. 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...

  10. Knowledge discovery using data mined from Nuclear Magnetic

    E-Print Network [OSTI]

    Narasayya, Vivek

    Knowledge discovery using data mined from Nuclear Magnetic Resonance spectral images William J cyberinfrastructure · Method ­ Solid State ab initio calculations ­ Nuclear Magnetic Resonance (NMR) ­ Support Vector refined (and/or relaxed) structure, perform Self-Consistent Field calculation for electronic structure

  11. Mining Complex Boolean Expressions for Sequential Equivalence Checking

    E-Print Network [OSTI]

    Ramakrishnan, Naren

    Mining Complex Boolean Expressions for Sequential Equivalence Checking Neha Goel, Michael S. Hsiao-flops in a sequential circuit for sequential equivalence checking. In contrast to traditional learning methods, our be arbitrary boolean expressions and can thus prune a large don't care space during equivalence checking

  12. Data Mining: Data Analysis on a Grand Scale? Padhraic Smyth

    E-Print Network [OSTI]

    Smyth, Padhraic

    Data Mining: Data Analysis on a Grand Scale? Padhraic Smyth Information and Computer Science for Statistical Methods in Medical Research, September 2000 1 #12;Abstract Modern data mininghas evolvedlargelyas aresult ofe orts bycomputer scientists to address the needs of data owners" in extracting useful

  13. 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!

  14. Technology experience and economics of oil shale mining in Estonia

    SciTech Connect (OSTI)

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

    1995-11-01T23:59:59.000Z

    The exhaustion of fuel-energy resources became an evident problem of the European continent in the 1960s. Careful utilization of their own reserves of coal, oil, and gas (Germany, France, Spain) and assigned shares of imports of these resources make up the strategy of economic development of the European countries. The expansion of oil shale utilization is the most topical problem. The experience of mining oil shale deposits in Estonia and Russia, in terms of the practice and the economic results, is reviewed in this article. The room-and-pillar method of underground mining and the open-cut technology of clearing the ground ensure the fertility of a soil. The economics of underground and open pit oil shale mines is analyzed in terms of natural, organizational, and technical factors. These analyses are used in the planning and management of oil shale mining enterprises. The perspectives of the oil shale mining industry of Estonia and the economic expediency of multiproduction are examined. Recommendations and guidelines for future industrial utilization of oil shale are given in the summary.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOETHEWeekly ReportsWenjunTRU SolutionsEarns

  16. Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity

    E-Print Network [OSTI]

    Jia, Yi; Huan, Jun; Buhr, Vincent; Zhang, Jintao; Carayannopoulos, Leonidas N.

    2009-01-30T23:59:59.000Z

    -wise sequence identities to known sequences fall below 25% and sequence-based functional annotations often fail. Results: Here we report a novel graph database mining method and demonstrate its application to protein structure pattern identification...

  17. Iowa State Mining and Mineral Resources Research Institute

    SciTech Connect (OSTI)

    Not Available

    1990-08-01T23:59:59.000Z

    This final report describes the activities of the Iowa State Mining and Mineral Resources Research Institute (ISMMRRI) at Iowa State University for the period July 1, 1989, to June 30, 1990. Activities include research in mining- and mineral-related areas, education and training of scientists and engineers in these fields, administration of the Institute, and cooperative interactions with industry, government agencies, and other research centers. During this period, ISMMRRI has supported research efforts to: (1) Investigate methods of leaching zinc from sphalerite-containing ores. (2) Study the geochemistry and geology of an Archean gold deposit and of a gold-telluride deposit. (3) Enchance how-quality aggregates for use in construction. (4) Pre-clean coal by triboelectric charging in a fluidized-bed. (5) Characterize the crystal/grain alignment during processing of yttrium-barium-copper-perovskite (1-2-3) superconductors. (5) Study the fluid inclusion properties of a fluorite district. (6) Study the impacts of surface mining on community planning. (7) Assess the hydrophobicity of coal and pyrite for beneficiation. (8) Investigate the use of photoacoustic absorption spectroscopy for monitoring unburnt carbon in the exhaust gas from coal-fired boilers. The education and training program continued within the interdepartmental graduate minor in mineral resources includes courses in such areas as mining methods, mineral processing, industrial minerals, extractive metallurgy, coal science and technology, and reclamation of mined land. In addition, ISMMRRI hosted the 3rd International Conference on Processing and Utilization of High-Sulfur Coals in Ames, Iowa. The Institute continues to interact with industry in order to foster increased cooperation between academia and the mining and mineral community.

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. "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

  5. 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

  6. 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...

  7. 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.

  8. 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...

  9. 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

  10. 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

  11. Mining Bug Databases for Unidentified Software Vulnerabilities

    SciTech Connect (OSTI)

    Dumidu Wijayasekara; Milos Manic; Jason Wright; Miles McQueen

    2012-06-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Reynolds, Larry A

    1989-01-01T23:59:59.000Z

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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  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 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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.

  9. Objective Full-time position as a software engineer, interested in data mining, machine learning, and database Information

    E-Print Network [OSTI]

    Zordan, Victor

    Modeling on Sequential Data Mining · Integrated heuristic methods to largely minimize the construction costLexiang Ye Objective Full-time position as a software engineer, interested in data mining, machine University of California, Riverside, CA, USA Ph.D., Computer Science and Engineering Sep 2006 - Dec 2009

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. 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.

  16. 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

  17. 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

  18. Dragon Year

    E-Print Network [OSTI]

    Hacker, Randi

    2012-01-11T23:59:59.000Z

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

  19. Adaptive Model-Based Mine Detection/Localization using Noisy Laser Doppler Vibration Measurements

    SciTech Connect (OSTI)

    Sullivan, E J; Xiang, N; Candy, J V

    2009-04-06T23:59:59.000Z

    The acoustic detection of buried mines is hampered by the fact that at the frequencies required for obtaining useful penetration, the energy is quickly absorbed by the ground. A recent approach which avoids this problem, is to excite the ground with a high-level low frequency sound, which excites low frequency resonances in the mine. These resonances cause a low-level vibration on the surface which can be detected by a Laser Doppler Vibrometer. This paper presents a method of quickly and efficiently detecting these vibrations by sensing a change in the statistics of the signal when the mine is present. Results based on real data are shown.

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

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Aubertin, Michel

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

  2. DESign AnD conStruction College of Engineering and Mines

    E-Print Network [OSTI]

    Hartman, Chris

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

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

    SciTech Connect (OSTI)

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

    2007-07-01T23:59:59.000Z

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

  4. 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.

  5. CARBON SEQUESTRATION ON SURFACE MINE LANDS

    SciTech Connect (OSTI)

    Donald H. Graves; Christopher Barton; Richard Sweigard; Richard Warner

    2004-11-30T23:59:59.000Z

    A monitoring program to measure treatment effects on above ground, and below ground carbon and nitrogen pools for the planting areas is being conducted. The collection of soil and tissue samples from both the 2003 and 2004 plantings is complete and are currently being processed in the laboratory. Detailed studies have been initiated to address specific questions pertaining to carbon cycling. Examinations of decomposition and heterotropic respiration on carbon cycling in the reforestation plots were continued during this reporting period. A whole-tree harvesting method was employed to evaluate carbon accumulation as a function of time on the mined site. The trees were extracted from the sites and separated into the following components: foliage, stems, branches, and roots.

  6. LLNL`s partnership with selected US mines, for CTBT verification: A pictorial and some reflections

    SciTech Connect (OSTI)

    Heuze, F.E.

    1996-01-01T23:59:59.000Z

    The verification of an upcoming Comprehensive Test Ban Treaty (CTBT) will involve seismic monitoring and will provide for on-site inspections which may include drilling. Because of the fact that mining operations can send out strong seismic signals, many mining districts in the US and abroad may come under special scrutiny. The seismic signals can be generated by the use of large quantities of conventional explosives, by the collapse of underground workings, or by sudden energy release in the ground such as in rock bursts and coal bumps. These mining activities may be the cause of false alarms, but may also offer opportunities for evasive nuclear testing. So in preparing for future verification of a CTBT it becomes important to address the mining-related questions. For the United States, these are questions to be answered with respect to foreign mines. But there is a good amount of commonality in mining methods worldwide. Studies conducted at US mine sites can provide good analogs of activities that may be carried out for overseas CTBT verification, save for the expected logistical impediments.

  7. 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

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

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

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

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

    E-Print Network [OSTI]

    Gupta, Abhinav

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

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

    E-Print Network [OSTI]

    Haunch, Simon

    2013-11-28T23:59:59.000Z

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

  11. Coal bunkers in underground mines

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

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

  12. Injury experience in stone mining, 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

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

  13. 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

  14. Mining Weak Lensing Surveys

    E-Print Network [OSTI]

    N. Padmanabhan; U. Seljak; U. L. Pen

    2002-10-21T23:59:59.000Z

    We present a survey of the cosmological applications of the next generation of weak lensing surveys, paying special attention to the computational challenges presented by the number of galaxies, $N_{gal} ~$ 10$^{5}$. We focus on optimal methods with no pixelization and derive a multigrid $P^3M$ algorithm that performs the relevant computations in $O(N_{gal} \\log N_{gal})$ time. We test the algorithm by studying three applications of weak lensing surveys - convergence map reconstruction, cluster detection and $E$ and $B$ power spectrum estimation using realistic 1 deg^{2} simulations derived from N-body simulations. The map reconstruction is able to reconstruct large scale features without artifacts. Detecting clusters using only weak lensing is difficult because of line of sight contamination and noise, with low completeness if one desires low contamination of the sample. A power spectrum analysis of the convergence field is more promising and we are able to reconstruct the convergence spectrum with no loss of information down to the smallest scales. The numerical methods used here can be applied to other data sets with same $O(N\\log N)$ scaling and can be generalised to a sphere.

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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

  4. 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...

  5. 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.

  6. 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 ...

  7. 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

  8. 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

  9. 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

  10. 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:

  11. 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

  12. 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 ...

  13. 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

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

    SciTech Connect (OSTI)

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

    1981-02-01T23:59:59.000Z

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

  15. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE ROOF BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2003-04-15T23:59:59.000Z

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. More field tests have been performed. A trendline analysis method has been developed. This method would improve the accuracy in detecting the locations of fractures and in determining the rock strength.

  16. Energy saving ideas for open pit mining

    SciTech Connect (OSTI)

    Rixen, W. (Krupp Industrie-Und Stahlbau, Duisberg, Germany); Benecke, K.J.

    1981-05-01T23:59:59.000Z

    The increasing cost of diesel fuel is making truck haulage in open pit mines less economic. Belt conveyor systems have much lower operating costs but are not as flexible in their application and require more detailed pit planning. The possibility of combining the flexibility of trucks with the low cost of conveyors is offered by the application of semi-mobile crushing plants followed by belt conveyors for the main haul out of the pit. In the first part of this article. Dr.-Ing W. Rixen describes some of the semi-mobile plants already in operation, while in the second section. Dr.-Ing K.J. Benecke discusses a theoretical case study involving trucks, crushers, and conveyors. Since a belt conveyor cannot transport rocks of a size often produced when blasting hard strata, a crusher must be installed before the belt conveyor to reduce the material to a transportable size. This also serves as a primary crusher. The crushing plant is positioned centrally in the mine and trucks haul overburden and ore from the individual faces to the crusher without having to climb long gradients. Therefore, truck haul distances and operating costs are significantly reduced. The resulting savings in operating costs greatly exceeds the additional capital costs for the crushing plant. The use of fully mobile crushers directly fed by the face shovel is well established. Whereas the partial elimination of truck haulage by semi-mobile in-pit crushers is a more recent development. This latter method restricts truck haulage to in-pit operation only, saving costly haulage of material up-grade out of the pit to the crusher or overburden dump. It is particularly applicable to operations where blending is required. In such cases, the flexibility and adaptability of trucks to frequently changing faces is essential, while the semi-mobile crusher reduces haul distances to a minimum.

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

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

    SciTech Connect (OSTI)

    Peplow, Dan

    1999-05-28T23:59:59.000Z

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

  11. Data Mining in Earth System Science (DMESS 2011)

    SciTech Connect (OSTI)

    Hoffman, Forrest M [ORNL] [ORNL; Larson, Jay [Argonne National Laboratory (ANL)] [Argonne National Laboratory (ANL); Mills, Richard T [ORNL] [ORNL; Brooks, Bjorn [ORNL] [ORNL; Ganguly, Auroop R [ORNL] [ORNL; Hargrove, William Walter [ORNL] [ORNL; Huang, Jian [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK); Kumar, Jitendra [ORNL] [ORNL; Vatsavai, Raju [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic, and machine learning techniques - such as cluster analysis, singular value decomposition, block entropy, Fourier and wavelet analysis, phase-space reconstruction, and artificial neural networks - are being applied to problems of segmentation, feature extraction, change detection, model-data comparison, and model validation. The size and complexity of Earth science data exceed the limits of most analysis tools and the capacities of desktop computers. New scalable analysis and visualization tools, running on parallel cluster computers and supercomputers, are required to analyze data of this magnitude. This workshop will demonstrate how data mining techniques are applied in the Earth sciences and describe innovative computer science methods that support analysis and discovery in the Earth sciences.

  12. Data mining in earth system science (DMESS 2011).

    SciTech Connect (OSTI)

    Hoffman, F. M.; Larson, J. W.; Mills, R. T.; Brooks, B. G. J.; Ganguly, A. R.; Hargrove, W. W.; Huang, J.; Kumar, J.; Vatsavai, R. R. (Mathematics and Computer Science); (Compuational Earth Sciences Group, Oak Ridge National Laboratory); (Department of Earth System Science); (Computation Institute, University of Chicago/Argonne National Laboratory); (School of Computer Science, The Australian National University); (Department of Electrical Engineering & Computer Science, University of Tennessee); (Center for Clmatic Research, University of Wisconsin); (Geographic Information Science and Technology Group, Oak Ridge National Laboratory); (Eastern Forest Environmental Threat Assessment Center (EFETAC), USDA Forest Service)

    2011-01-01T23:59:59.000Z

    From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic, and machine learning techniques - such as cluster analysis, singular value decomposition, block entropy, Fourier and wavelet analysis, phase-space reconstruction, and artificial neural networks - are being applied to problems of segmentation, feature extraction, change detection, model-data comparison, and model validation. The size and complexity of Earth science data exceed the limits of most analysis tools and the capacities of desktop computers. New scalable analysis and visualization tools, running on parallel cluster computers and supercomputers, are required to analyze data of this magnitude. This workshop will demonstrate how data mining techniques are applied in the Earth sciences and describe innovative computer science methods that support analysis and discovery in the Earth sciences.

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Neighborhood-restricted mining and weighted application of association rules for recommenders

    E-Print Network [OSTI]

    Jannach, Dietmar

    filtering recommender systems (RS). Such rule mining-based RS not only share the advantages of other model filtering data sets shows that our method outperforms both a standard IMSApriori recommender and a nearest was designed as a method to automatically identify buying patterns in sales trans- actions, or, in a more

  2. Neighborhood-Restricted Mining and Weighted Application of Association Rules for

    E-Print Network [OSTI]

    Jannach, Dietmar

    filtering recommender systems (RS). Such rule mining-based RS not only share the advantages of other model filtering data sets shows that our method outperforms both the IMSApriori recommender as well as a nearest was designed as a method to automatically identify buying patterns in sales trans- actions, or, in a more

  3. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE ROOF BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2003-01-15T23:59:59.000Z

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. Additional field tests have been performed. It is found that the drilling power can be used as a supplementary method for detecting voids/fractures and rock interfaces.

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

    SciTech Connect (OSTI)

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

    2012-07-01T23:59:59.000Z

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

  5. Preservation of artifacts in salt mines as a natural analog for the storage of transuranic wastes at the WIPP repository

    SciTech Connect (OSTI)

    Martell, M.A.; Hansen, F.; Weiner, R.

    1998-10-01T23:59:59.000Z

    Use of nature`s laboratory for scientific analysis of complex systems is a largely untapped resource for understanding long-term disposal of hazardous materials. The Waste Isolation Pilot Plant (WIPP) in the US is a facility designed and approved for storage of transuranic waste in a salt medium. Isolation from the biosphere must be ensured for 10,000 years. Natural analogs provide a means to interpret the evolution of the underground disposal setting. Investigations of ancient sites where manmade materials have experienced mechanical and chemical processes over millennia provide scientific information unattainable by conventional laboratory methods. This paper presents examples of these pertinent natural analogs, provides examples of features relating to the WIPP application, and identifies potential avenues of future investigations. This paper cites examples of analogical information pertaining to the Hallstatt salt mine in Austria and Wieliczka salt mine in Poland. This paper intends to develop an appreciation for the applicability of natural analogs to the science and engineering of a long-term disposal facility in geomedia.

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

    E-Print Network [OSTI]

    Swanson, Eric Scott

    1996-01-01T23:59:59.000Z

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

  7. Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats

    SciTech Connect (OSTI)

    Mills, Richard T [ORNL] [ORNL; Hoffman, Forrest M [ORNL] [ORNL; Kumar, Jitendra [ORNL] [ORNL; HargroveJr., William Walter [USDA Forest Service

    2011-01-01T23:59:59.000Z

    We investigate methods for geospatiotemporal data mining of multi-year land surface phenology data (250 m2 Normalized Difference Vegetation Index (NDVI) values derived from the Moderate Resolution Imaging Spectrometer (MODIS) in this study) for the conterminous United States (CONUS) as part of an early warning system for detecting threats to forest ecosystems. The approaches explored here are based on k-means cluster analysis of this massive data set, which provides a basis for defining the bounds of the expected or normal phenological patterns that indicate healthy vegetation at a given geographic location. We briefly describe the computational approaches we have used to make cluster analysis of such massive data sets feasible, describe approaches we have explored for distinguishing between normal and abnormal phenology, and present some examples in which we have applied these approaches to identify various forest disturbances in the CONUS.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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 ...

  18. 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

  19. 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

  20. 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

  1. Projects of the year

    SciTech Connect (OSTI)

    Hansen, T.

    2007-01-15T23:59:59.000Z

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

  2. problem exactly in one pass instead, solve it approximately, then iterate. Multigrid methods, perhaps the most important development in numerical computation in the past twenty years,

    E-Print Network [OSTI]

    Atkinson, Kendall

    stable|say, of pivoting in Gaussian elimination|may in certain contexts be cost-ine ective. Instead, skip that the existence of nite algorithms for certain problems, together with other historical forces, has distracted us analysis as \\the theory of constructive methods in mathematical analysis." Others have expressed similar

  3. problem exactly in one pass; instead, solve it approximately, then iterate. Multigrid methods, perhaps the most important development in numerical computation in the past twenty years,

    E-Print Network [OSTI]

    Vuik, Kees

    stable---say, of pivoting in Gaussian elimination---may in certain contexts be cost­ineffective. Instead, together with other historical forces, has distracted us for decades from a balanced view of numerical theory of constructive methods in mathematical analysis.'' Others have expressed similar views; Joseph

  4. 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.

  5. 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

  6. 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

  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. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE ROOF BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2002-10-15T23:59:59.000Z

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. Additional field tests have been performed in this quarter. The development of the data interpretation methodology and other related tasks are still continuing.

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

    SciTech Connect (OSTI)

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

    1995-12-31T23:59:59.000Z

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

  11. Reactor Physics Methods and Preconceptual Core Design Analyses for Conversion of the Advanced Test Reactor to Low-Enriched Uranium Fuel Annual Report for Fiscal Year 2012

    SciTech Connect (OSTI)

    David W. Nigg; Sean R. Morrell

    2012-09-01T23:59:59.000Z

    Under the current long-term DOE policy and planning scenario, both the ATR and the ATRC will be reconfigured at an appropriate time within the next several years to operate with low-enriched uranium (LEU) fuel. This will be accomplished under the auspices of the Reduced Enrichment Research and Test Reactor (RERTR) Program, administered by the DOE National Nuclear Security Administration (NNSA). At a minimum, the internal design and composition of the fuel element plates and support structure will change, to accommodate the need for low enrichment in a manner that maintains total core excess reactivity at a suitable level for anticipated operational needs throughout each cycle while respecting all control and shutdown margin requirements and power distribution limits. The complete engineering design and optimization of LEU cores for the ATR and the ATRC will require significant multi-year efforts in the areas of fuel design, development and testing, as well as a complete re-analysis of the relevant reactor physics parameters for a core composed of LEU fuel, with possible control system modifications. Ultimately, revalidation of the computational physics parameters per applicable national and international standards against data from experimental measurements for prototypes of the new ATR and ATRC core designs will also be required for Safety Analysis Report (SAR) changes to support routine operations with LEU. This report is focused on reactor physics analyses conducted during Fiscal Year (FY) 2012 to support the initial development of several potential preconceptual fuel element designs that are suitable candidates for further study and refinement during FY-2013 and beyond. In a separate, but related, effort in the general area of computational support for ATR operations, the Idaho National Laboratory (INL) is conducting a focused multiyear effort to introduce modern high-fidelity computational reactor physics software and associated validation protocols to replace several obsolete components of the current analytical tool set used for ATR neutronics support. This aggressive computational and experimental campaign will have a broad strategic impact on the operation of the ATR, both in terms of improved computational efficiency and accuracy for support of ongoing DOE programs as well as in terms of national and international recognition of the ATR National Scientific User Facility (NSUF). It will also greatly facilitate the LEU conversion effort, since the upgraded computational capabilities are now at a stage where they can be, and in fact have been, used for the required physics analysis from the beginning. In this context, extensive scoping neutronics analyses were completed for six preconceptual candidate LEU fuel element designs for the ATR (and for its companion critical facility, ATRC). Of these, four exhibited neutronics performance in what is believed to be an acceptable range. However, there are currently some concerns with regard to fabricability and mechanical performance that have emerged for one of the four latter concepts. Thus three concepts have been selected for more comprehensive conceptual design analysis during the upcoming fiscal year.

  12. 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

  13. 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...

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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.

  1. 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

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

    SciTech Connect (OSTI)

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

    2007-04-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2007-02-15T23:59:59.000Z

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

  4. 1985/1986 SOMED (School of Mines and Energy Development) project: The effect of temperature, fluid composition, and flow rate on sandstones: implications for enhanced oil recovery methods: Final report

    SciTech Connect (OSTI)

    Donahoe, R.J.

    1986-09-01T23:59:59.000Z

    A low-temperature hydrothermal flow-through study was conducted experimentally examine fluid/rock interactions brought about in sandstones as a result of fluid injection enhanced oil recovery (EOR) methods. Such studies will eventually enable the development of a predictive model for fluid injection EOR methods. The design of the low-temperature hydrothermal flow-through system allows the accurate control of fluid flow rate (0.002-10 ml/min), temperature (0 to 300/sup 0/C) and pressure (1 to 500 bar) while flowing fluids through disaggregated solid samples. Samples of St. Peter Sandstone and two different sandstones of the Norphlet Formation from southern Alabama were interacted with distilled, deionized water and a 1% HC1 solution at 250/sup 0/C, 300 bar and 0.1 or 0.5 ml/min fluid flow rate. Solids were analyzed by x-ray powder diffraction and scanning electron microscopy. Fluid samples were analyzed by atomic absorption spectrophotometry and combination pH electrode. A variety of processes which occur in sandstones subjected to fluid injection EOR methods were documented experimentally. Processes damaging to reservoir permeability included iron fouling, silica fouling, migration of clay fines, and precipitation of other secondary phases. Processes resulting in reservoir stimulation involved the dissolution of sandstone framework and/or authigenic mineral constituents. The most successful fluid injection stimulation can be expected for arkosic sandstones containing high percentages of K-feldspar and illite relative to kaolinite, chlorite and smectite, using dilute HCl injection solutions and high fluid flow rates. Fluid chemical data indicate that equilibrium between the solid and injection fluid is not approached for any of the experiments. Therefore, it does not appear that chemical equilibrium computer programs can be used to model these low-temperature reactions. 12 refs., 11 figs., 4 tabs.

  5. 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...

  6. 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...

  7. 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,...

  8. 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.

  9. 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...

  10. 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

  11. 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...

  12. 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

  13. 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

  14. 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.

  15. 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

  16. 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

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

    E-Print Network [OSTI]

    Ezeife, Christie

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

  18. Impact Burial Prediction for Mine Breaching Using IMPACT35 Peter C. Chu

    E-Print Network [OSTI]

    Chu, Peter C.

    Impact Burial, Hydrodynamics, Pseudo-Cylinder Parameterization, Four Coordinate Transform, Six Degree of Freedom (DOF) Model, IMPACT35, Inverse Method, Drag Coefficient, Lift Coefficient, NPS-MIDEX-II LONG IMPACT35 for operational mine shapes such as Manta, Rockan, etc. · To implement a new technique (pseudo-cylinder

  19. Discovering Math APIs by Mining Unit Tests Anirudh Santhiar, Omesh Pandita

    E-Print Network [OSTI]

    Kanade, Aditya

    APIs for mathematical computations by mining unit tests of API meth- ods. Given a math expression, MathFinder synthesizes pseudo-code to compute the expression by mapping its subexpressions to API method calls. For each- putations. Mathematical computations are at the heart of numerous application domains such as statistics

  20. Efficient Parallel Data Mining with the Apriori Algorithm on FPGAs1

    E-Print Network [OSTI]

    Hwang, Kai

    Efficient Parallel Data Mining with the Apriori Algorithm on FPGAs1 Zachary K. Baker and Viktor K scalable packaged units. We implement all data and computation intensive operations within the systolic" method for intelligently reporting unpredictably generated mid-array results to a controller without

  1. An Integrated Framework on Mining Logs Files for Computing System Management

    E-Print Network [OSTI]

    Li, Tao

    . The data in the log files describe the status of each component and record system operational changes data have been less emphasized in existing analysis methods from data mining and machine learning and relatively short text messages in data reporting, asynchronism in data collection, and temporal character

  2. 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

  3. 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

  4. 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

  5. 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.

  6. Impact analysis of OSM regulations on highwall mining systems. Final report

    SciTech Connect (OSTI)

    Not Available

    1980-09-01T23:59:59.000Z

    The establishment of the federal surface mining performance standards has placed additional restraints on auger mining. The federal regulations impose barrier pillar and hole sealing requirements on augering, stipulate time frames for hole sealing and discharge treatment, and prohibit auger mining under certain conditions. Barrier pillar requirements between groups of auger holes and between auger holes and underground workings decrease the augerable reserve base on a site by a minimum of ten percent. Barrier requirements may also reduce productivity levels due to increased delay and scheduling problems. Federal auger hole sealing requirements are more stringent than most state regulations, and consequently have increased the cost of augering in almost all auger mining areas. The availability of impervious materials on the site and the extent of backfilling required to form a water-tight seal may have the greatest effect on auger hole reclamation costs. The federal regulations require auger mining to be prohibited: if adverse water quality impacts cannot be prevented; if stability of sealings cannot be achieved; if subsidence resulting from augering may damage powerlines, pipelines, buildings, or other facilities; or if coal reserve recovery is not maximized by augering. As a result, all up dip augering may be restricted on the grounds that seal stability cannot be maintained for long time periods if water pressure builds behind the plug. Also, since tradiational augering techniques have a lower recovery rate than surface or underground methods, augering may be prohibited in many situations by the stipulation that maximum resource recovery will not be achieved.

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

    SciTech Connect (OSTI)

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

    1991-12-31T23:59:59.000Z

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

  8. Waterfowl habitats on reclaimed surface mined lands in southwestern Illinois

    SciTech Connect (OSTI)

    O'Leary, W.G.; Klimstra, W.D.; Nawrot, J.R.

    1984-12-01T23:59:59.000Z

    Loss of quality wetland habitat is probably the most important factor affecting populations of waterfowl in the United States. To counteract this problem programs for protecting critical habitats have been established and research for innovative methods to create wetlands are being pursued. Recently, attention has been given to evaluation of wetland habitats on lands surface-mined and to methods of reclamation to enhance their development as part of future planning. These data indicate quality wetland habitats can be a legitimate aspect of reclaimed surface-mined lands; and selective overburden handling, grading so as to maximize biologically productive zones and selective plantings contribute importantly to their value. Currently bond release criteria by the Illinois regulatory authority for wildlife habitat and developed water resources discourages reclamation that would maximize quality wetland habitats. Suggested changes in these criteria include alternative vegetation requirements for wetland habitats, more leniency on seasonally inundated shallow water areas, and variation from topsoil requirements when adequate unconsolidated substitute material is available. It is believed that such allowances would result in incentives for the industry to develop wetland habitats so vital to continued enjoyment of waterfowl resources.

  9. 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...

  10. 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,...

  11. 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...

  12. 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...

  13. 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

  14. 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

  15. 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

  16. 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...

  17. Cost to the Indian economy of mining coal

    SciTech Connect (OSTI)

    Bansal, N.K.; Bhave, A. [Indian Inst. of Technology, New Delhi (India). Centre of Energy Studies

    1995-03-01T23:59:59.000Z

    Like steel production, energy production is one of the significant parameters of stage of advancement of a developing economy. Availability of energy at the right price is vital for development. Coal is a primary resource of energy. The price of coal has been a very important parameter in the Indian economy. In the past 20 years coal has been marketed at administered prices. There has been a very complex mechanism at work for this purpose. There have been a lot of incentives given to thin industry. These, in fact, are tantamount to subsidies. The role of subsidies is well acknowledged and is considered quite useful to the economy. A detailed analysis by carefully studying the methodology of mining and delineating various stages in mining has been conducted, and the subsidies, which have traditionally not been quantified, have been calculated The impact of each parameter on the total subsidy has been studied to facilitate continuance or change in the subsidy by adopting a suitable strategy for coal pricing, as presently the considerations show unaccounted-for subsidies to be more than 70% of the price charged.

  18. Coal operators prepare for a prosperous new year

    SciTech Connect (OSTI)

    Fiscor, S.

    2008-01-15T23:59:59.000Z

    Results are given of the Coal Age 2008 annual Forecast Survey of 17 coal mining executives which reinforces that 2008 could be a very good year. Coal operators are planning to invest in new equipment, development and new coal mine start-ups, based on a number of demand- and supply-side fundamentals. 71% of those surveyed thought coal production in 2008 would increase from 2007 levels and US exports are expected to climb due to the weak dollar. If the tax credit on synfuels expires on 31 December 2007 production of coal synfuel will likely cease. Asked about expensive planned purchases, companies answers ranged from $80,000 for an underground scoop to $500 m for a new mine installation. However, most producers admit they will not be able to operate at full capacity. 7 figs.

  19. 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

  20. 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

  1. 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...

  2. 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;

  3. Method of lining a vertical mine shaft with concrete

    DOE Patents [OSTI]

    Eklund, James D. (Mattawa, WA); Halter, Joseph M. (Richland, WA); Rasmussen, Donald E. (Spokane, WA); Sullivan, Robert G. (Richland, WA); Moffat, Robert B. (Federal Way, WA)

    1981-01-01T23:59:59.000Z

    The apparatus includes a cylindrical retainer form spaced inwardly of the wall of the shaft by the desired thickness of the liner to be poured and having overlapping edges which seal against concrete flow but permit the form to be contracted to a smaller circumference after the liner has hardened and is self-supporting. A curb ring extends downwardly and outwardly toward the shaft wall from the bottom of the retainer form to define the bottom surface of each poured liner section. An inflatable toroid forms a seal between the curb ring and the shaft wall. A form support gripper ring having gripper shoes laterally extendable under hydraulic power to engage the shaft wall supports the retainer form, curb ring and liner until the newly poured liner section becomes self-supporting. Adjusting hydraulic cylinders permit the curb ring and retainer form to be properly aligned relative to the form support gripper ring. After a liner section is self-supporting, an advancing system advances the retainer form, curb ring and form support gripper ring toward a shaft boring machine above which the liner is being formed. The advancing system also provides correct horizontal alignment of the form support gripper ring.

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  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 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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