National Library of Energy BETA

Sample records for input costs mining

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

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    3.2 - Surface Drilling ------------------------------ COSTNumber In-Mine Drilling Program Cost Estimate for Case 1 -Development In-Mine Drilling The cost and time required for

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

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    3.2 - Surface Drilling ------------------------------ COSTLBL-11490 COST AND SCHEDULE FOR DRILLING AND MININGDevelopment In-Mine Drilling The cost and time required for

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

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

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

  4. Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs

    E-Print Network [OSTI]

    Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs Andrea Bianco, Paolo problems, mainly due to thermal issues that require complex cooling systems and to increasing energy costs scheduler determines a switching fabric configuration to transfer packets. We consider the energy

  5. Sensitivity of injection costs to input petrophysical parameters in numerical geologic carbon sequestration models

    SciTech Connect (OSTI)

    Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.

    2013-08-24

    Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.

  6. Low-Cost PCI E Series Multifunction I/O 200 kS/s, 12-Bit, 16 Analog Inputs

    E-Print Network [OSTI]

    Wedeward, Kevin

    Low-Cost PCI E Series Multifunction I/O ­ 200 kS/s, 12-Bit, 16 Analog Inputs 602xE Families (E-5 outputs. An additional 24 lines of 5V/TTL I/O makes the 6025E family the best value of any PCI data/O Overview on page 231. 6023E Family (AI-16E-5) PCI-6023E 6024E Family (MIO-16E-5) PCI-6024E 6025E Family

  7. Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables

    SciTech Connect (OSTI)

    Cory, K.; Schwabe, P.

    2009-10-01

    The expansion of wind power capacity in the United States has increased the demand for project development capital. In response, innovative approaches to financing wind projects have emerged and are proliferating in the U.S. renewable energy marketplace. Wind power developers and financiers have become more efficient and creative in structuring their financial relationships, and often tailor them to different investor types and objectives. As a result, two similar projects may use very different cash flows and financing arrangements, which can significantly vary the economic competitiveness of wind projects. This report assesses the relative impact of numerous financing, technical, and operating variables on the levelized cost of energy (LCOE) associated with a wind project under various financing structures in the U.S. marketplace. Under this analysis, the impacts of several financial and technical variables on the cost of wind electricity generation are first examined individually to better understand the relative importance of each. Then, analysts examine a low-cost and a high-cost financing scenario, where multiple variables are modified simultaneously. Lastly, the analysis also considers the impact of a suite of financial variables versus a suite of technical variables.

  8. Abstract--To reduce the cost associated with screening lifecycle assessments (LCAs), we propose treating LCA as a data mining

    E-Print Network [OSTI]

    Ramakrishnan, Naren

    treating LCA as a data mining problem and automating the process of assigning impact factors to inventory components. We describe three sub-problems involved in automating LCA and provide illustrative case studies laborious manual LCA process. Index Terms--Data mining, environmental management, green design

  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.

    1981-01-01

    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. Multi-Input Functional Encryption Shafi Goldwasser

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    is a general tool for computing on encrypting data which allows for mining aggregate information from several different data sources (rather than just a single source as in single input functional encryption). We show been addressed by a number of papers, with general formal definitions first appearing in [BSW11, O'N10

  11. Supplying Synthetic Crude Oil from Canadian Oil Sands: A Comparative Study of the Costs and CO2 Emissions of Mining and In-Situ Recovery

    E-Print Network [OSTI]

    Méjean, A.; Hope, Chris

    Aurélie Méjean and Chris Hope High crude oil prices and the eventual decline of conventional oil production raise the issue of alternative fuels such as non-conventional oil. The paper describes a simple probabilistic model of the costs of synthetic... and production constraints on the costs of supplying synthetic crude oil from Canadian bitumen deposits. The results show the uncertainties associated with the future costs of synthetic crude oil. Carbon costs have a large impact of the total costs...

  12. Development and Demonstration of a Modeling Framework for Assessing the Efficacy of Using Mine Water for Thermoelectric Power Generation

    SciTech Connect (OSTI)

    2010-03-01

    Thermoelectric power plants use large volumes of water for condenser cooling and other plant operations. Traditionally, this water has been withdrawn from the cleanest water available in streams and rivers. However, as demand for electrical power increases it places increasing demands on freshwater resources resulting in conflicts with other off stream water users. In July 2002, NETL and the Governor of Pennsylvania called for the use of water from abandoned mines to replace our reliance on the diminishing and sometimes over allocated surface water resource. In previous studies the National Mine Land Reclamation Center (NMLRC) at West Virginia University has demonstrated that mine water has the potential to reduce the capital cost of acquiring cooling water while at the same time improving the efficiency of the cooling process due to the constant water temperatures associated with deep mine discharges. The objectives of this project were to develop and demonstrate a user-friendly computer based design aid for assessing the costs, technical and regulatory aspects and potential environmental benefits for using mine water for thermoelectric generation. The framework provides a systematic process for evaluating the hydrologic, chemical, engineering and environmental factors to be considered in using mine water as an alternative to traditional freshwater supply. A field investigation and case study was conducted for the proposed 300 MW Beech Hollow Power Plant located in Champion, Pennsylvania. The field study based on previous research conducted by NMLRC identified mine water sources sufficient to reliably supply the 2-3,000gpm water supply requirement of Beech Hollow. A water collection, transportation and treatment system was designed around this facility. Using this case study a computer based design aid applicable to large industrial water users was developed utilizing water collection and handling principals derived in the field investigation and during previous studies of mine water and power plant cooling. Visual basic software was used to create general information/evaluation modules for a range of power plant water needs that were tested/verified against the Beech Hollow project. The program allows for consideration of blending mine water as needed as well as considering potential thermal and environmental benefits that can be derived from using constant temperature mine water. Users input mine water flow, quality, distance to source, elevations to determine collection, transport and treatment system design criteria. The program also evaluates low flow volumes and sustainable yields for various sources. All modules have been integrated into a seamless user friendly computer design aid and user's manual for evaluating the capital and operating costs of mine water use. The framework will facilitate the use of mine water for thermoelectric generation, reduce demand on freshwater resources and result in environmental benefits from reduced emissions and abated mine discharges.

  13. TART input manual

    SciTech Connect (OSTI)

    Kimlinger, J.R.; Plechaty, E.F.

    1982-04-01

    The TART code is a Monte Carlo neutron/photon transport code that is only on the CRAY computer. All the input cards for the TART code are listed, and definitions for all input parameters are given. The execution and limitations of the code are described, and input for two sample problems are given. (WHK)

  14. Department of MINING ENGINEERING

    E-Print Network [OSTI]

    Capecchi, Mario R.

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

  15. 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

    2010-01-01

    should be removed, or acid mine drainage should be treated.cost of ongoing acid mine drainage, and use those revenueshighly impacted by acid mine drainage and urbanization. Past

  16. When do Data Mining Results Violate Privacy? Murat Kantarcioglu

    E-Print Network [OSTI]

    Jin, Jiashun

    When do Data Mining Results Violate Privacy? Murat Kantarcioglu Purdue University Computer Sciences Privacy-preserving data mining has concentrated on obtain- ing valid results when the input data. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications-- Data mining; H.2

  17. Data Mining 4.6. " "

    E-Print Network [OSTI]

    Borissova, Daniela

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

  18. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01

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

  19. ITP Mining: Exploration and Mining Technology Roadmap

    Broader source: Energy.gov [DOE]

    This document describes the Mining Industry of the Future's development of technology roadmaps to guide collaborative research activities for mining.

  20. African mining

    SciTech Connect (OSTI)

    Not Available

    1987-01-01

    This book contains papers presented at a conference addressing the development of the minerals industry in Africa. Topics covered include: A review - past, present and future - of Zimbabwe's mining industry; Geomorphological processes and related mineralization in Tanzania; and Rock mechanics investigations at Mufulira mine, Zambia.

  1. Quarrying and Mining (Stone)

    E-Print Network [OSTI]

    Bloxam, Elizabeth

    2010-01-01

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

  2. Electricity Generation from Synthetic Acid-Mine Drainage (AMD) Water

    E-Print Network [OSTI]

    Electricity Generation from Synthetic Acid-Mine Drainage (AMD) Water using Fuel Cell Technologies, 2007. Acid-mine drainage (AMD) is difficult and costly to treat. We investigated a new approach to AMD and systems suitable for scale-up. Introduction Acid-mine drainage (AMD) is a serious environmental problem

  3. Synthetic Morphology Using Alternative Inputs

    E-Print Network [OSTI]

    Tanaka, Hiromasa; Yi, Tau-Mu

    2009-01-01

    Created the concept of alternative inputs: HT. References4 | Issue 9 | e6946 Alternative Inputs to a-Factor 24.Morphology Using Alternative Inputs Hiromasa Tanaka 1,2 ,

  4. Abandoned Uranium Mines Report to Congress: LM Wants Your Input |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s sconveyance of9,Septemeber 19,All-ElectricEDT

  5. Delay Analysis of Combined Input-Crosspoint Queueing Switches

    E-Print Network [OSTI]

    Hamdi, Mounir

    Delay Analysis of Combined Input-Crosspoint Queueing Switches Ge Nong, Ning Situ and Mounir Hamdi Abstract-- The switch architecture with the combined input- crosspoint queueing (CICQ) scheme has been recognized as a practical promising solution for building cost-effective high- performance switches. In an N

  6. Decline design in underground mines using constrained path optimisation

    E-Print Network [OSTI]

    Wormald, Nick

    of optimising the design of an underground mine decline, so as to minimise the costs associated with infras and costs of a real mine, and is optimised using geo- metric techniques for constrained path optimisation (horizontal drives) that connects the access points (points which must be accessed for drilling and blasting

  7. Environmental Cost Analysis 

    E-Print Network [OSTI]

    Edge, D.

    2000-01-01

    Analysis David Edge Texas Natural Resource Conservation Commission 131 ESL-IE-00-04-21 Proceedings from the Twenty-second National Industrial Energy Technology Conference, Houston, TX, April 5-6, 2000 Tuas Natural Resource Conservation Cor...DDliuion Environmental Cost Analysis Presented By David Edge Determine the Costs c> Input co Output c> Hidden c> Capital (non recurring) Envirormenlal Cost Analy.;is "There has to be a measurable result ofimprovement and it should be tied to dollars...

  8. Hardware Memo - Input Multiplexer Status

    E-Print Network [OSTI]

    Noftsker, Russell

    1966-10-01

    Note: Computer control of Input Multiplexer and Output Sample and Hold is available when clock and test switches on the I/O box are in "Computer Input" and "Computer Output" positions, respectively. Manual operation of the ...

  9. LEARNING OUTCOMES EVALUATION Mining Engineering

    E-Print Network [OSTI]

    Missouri-Rolla, University of

    geomechanics, geometrics and computer-aided mine design, and optimization of flow processes for designing mine

  10. ANU MLSS 2010: Data Mining

    E-Print Network [OSTI]

    McCreath, Eric Charles

    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

  11. Fuelcell-Hybrid Mine loader (LHD)

    SciTech Connect (OSTI)

    James L Dippo; Tim Erikson; Kris Hess

    2009-07-10

    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.

  12. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01

    Data Mining . . . . . . . . . . . . . . . . . . . . . . .Data Mining . . . . . . . . . . . . . . . . . . . . . . . . .In this work we apply data mining and machine learning

  13. 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

  14. Rehabilitation of semi-arid coal mine spoil bank soils with mine residues and farm organic by-products

    SciTech Connect (OSTI)

    Salazar, M.; Bosch-Serra, A.; Estudillos, G.; Poch, R.M. [University of Lleida, Lleida (Spain). Dept. of Environmental & Soil Science

    2009-07-01

    A method of rehabilitating coal mine soils was studied under the conditions of a semi-arid climate, lack of topsoil but availability of farm by-products in NE Spain. The objectives of the research were to assess a new method in order to achieve a suitable substrate for the establishment of native vegetation, to evaluate environmental impacts associated with the reclamation process, and to determine the time necessary to integrate the treated area into the surrounding environment. Eight plots (10 x 35 m{sup 2}) were established in September 1997. Substrate combinations of two types of mine spoil (coal dust and coarse-sized material), two levels of pig slurry (39 and 94 Mg ha{sup -1}dry-wt), and cereal straw (0 and 15 Mg ha{sup -1}) were applied. Monitoring of select physical and chemical soil properties and vegetation characteristics was performed from 1997 until 2005. The bulk density and the saturated hydraulic conductivity measured did not limit plant development and water availability. Initial substrate salinity (1.37 S m{sup -1}) decreased with time and in the long term did not limit plant colonization to salinity-adapted species. Initial nitrate concentration was 298 mg kg{sup -1}, but was reduced significantly to acceptable values in 3 years (55 mg kg{sup -1}) and the measured pH (7.6) was maintained at the level of initial spoil values. Vegetation cover reached up to 90%. In the treated area, spontaneous vegetation cover (15 to 70%) colonized the nonsown areas widely. In the medium term, vegetation cover tended to be higher in plots with a thicker layer of coal dust material and the higher slurry rate. Soil rehabilitation and environmental reintegration, taking into account soil and vegetation indicators, was possible in the studied area with low cost inputs using residual materials from mining activities and animal husbandry by-products.

  15. ITP Mining: Mining Industry Roadmap for Crosscutting Technologies...

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

    Roadmap for Crosscutting Technologies ITP Mining: Mining Industry Roadmap for Crosscutting Technologies ccroadmap.pdf More Documents & Publications ITP Mining: Exploration and...

  16. Input a journal Viewing Journals

    E-Print Network [OSTI]

    Sussex, University of

    Journals Contents: Input a journal Viewing Journals Deleting a journal Entering jnl into different period Problems Input a journal 1 Login to Bluqube 2 Select 3 Enter relevant Doc type To select the number of journals you will processing & the total credit value 6 Click on 7 Enter brief description 8

  17. Startup Costs

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

    1997-03-28

    This chapter discusses startup costs for construction and environmental projects, and estimating guidance for startup costs.

  18. Code Completion From Abbreviated Input

    E-Print Network [OSTI]

    Miller, Robert C.

    Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional ...

  19. Longwall mining of thin seams

    SciTech Connect (OSTI)

    Curth, E A

    1981-01-01

    Thin seam operations pose a challenge to the ingenuity of mining engineers to overcome the factor of human inconvenience in the restricted environment and associated high cost production. Surprisingly, low seam longwalls in the Federal Republic of Germany in an average thickness of 35 in. and dipping less than 18/sup 0/ come close to achieving the average production rate of all German longwall operations. They are all plow faces, and a consistent production of 3300 tons per day and a productivity of 40 tons per man shift are reported from one of the thin seam longwalls. These results were attained by reliable high-capacity equipment and roof support by shields that can be collapsed to as low as 22 inches. Maximum mining height for plow operated faces lies at 31.5 inches. Technology for mechanized mining of flat lying coalbeds less than 31.5 inches in thickness without rock cutting is not available, and firmness of coal, undulation of the strata, coalbed thickness variation, and the necessity of cutting rock, particularly through faults, set limits to plow application. The in-web shearer can be used in firm coal to a minimum mining height of 40 inches, and a daily production of 1650 to 2200 tons is reported from a longwall in the Saar district of Germany equipped with such a shearer and shields. Numerous in-web shearers are employed in the United Kingdom; reports as to their success are contradictory. Also, experience in the United States, though limited, has been negative. The steady increase in output from single drum shearer faces in Pennsylvania is a remarkable achievement, and occasional record breaking peaks in production indicate the potential of such mining. Technology development for the future is discussed.

  20. DTN Communication in a Mine Philip Ginzboorg

    E-Print Network [OSTI]

    Ott, Jörg

    there may be between ten to a thousand pieces of mining equipment ­ drills, loaders, roof bolters and other and personnel. In some development stages (e.g., production drilling) the min- ing equipment may be out of reach of the operation, which in turn may lower operational costs and improve exploitation of the ore. Technologies

  1. Imaging Ahead of Mining

    Office of Energy Efficiency and Renewable Energy (EERE)

    Coal mining is becoming more difficult as machines must extract the coal from deeper, thinner, and more geologically complex coal beds. This type of mining also includes the need to reduce risk and...

  2. of Mining & Engineering

    E-Print Network [OSTI]

    Wong, Pak Kin

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

  3. 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

  4. Mass Exchange Processes with Input

    E-Print Network [OSTI]

    P. L. Krapivsky

    2015-03-07

    We investigate a system of interacting clusters evolving through mass exchange and supplemented by input of small clusters. Three possibilities depending on the rate of exchange generically occur when input is homogeneous: continuous growth, gelation, and instantaneous gelation. We mostly study the growth regime using scaling methods. An exchange process with reaction rates equal to the product of reactant masses admits an exact solution which allows us to justify the validity of scaling approaches in this special case. We also investigate exchange processes with a localized input. We show that if the diffusion coefficients are mass-independent, the cluster mass distribution becomes stationary and develops an algebraic tail far away from the source.

  5. Operating Costs Estimates Cost Indices

    E-Print Network [OSTI]

    Boisvert, Jeff

    cost projections · Chemical Engineering (CE) Plant Construction Cost Index ­ Base value = 100 in 1957.0 in 2Q 2001 · Engineering News Record (ENR) · Nelson Refinery (NR) Construction Cost Index Cost Indices available for estimation are based upon the past · These data must be updated using cost indexes . · Cost

  6. Input Validation Errors and Defenses

    E-Print Network [OSTI]

    Sekar, R.

    = "gpg -r $send_to_list 2>&1" popen($command) · Attack: user fills in the following information-independent policies are preferable Example: SquirrelMail Command Injection Incoming Request (Untrusted input) $command="gpg popen($command) $send_to_list = $_GET[`sendto'] $command = "gpg -r $send_to_list 2>&1" Outgoing Request

  7. Generation Inputs Workshop June 25, 2014

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

    Inputs Workshop 25 June 2014 BPA's Centralized Wind Power Forecasting Initiative Scott Winner June 25, 2014 Generation Inputs Workshop Predecisional. For Discussion Purposes Only....

  8. Data Mining and Knowledge Discovery

    E-Print Network [OSTI]

    Novak, Petra Kralj

    Data Mining and Knowledge Discovery Part of Jozef Stefan IPS Programme - ICT3 and UL Programme. Introduction Data Mining in a Nutshell Predictive and descriptive DM techniques Data Mining and KDD process Technologies I. Introduction: First generation data mining Data Mining in a nutshell Predictive

  9. Data Mining Group VNG Corporation

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Data Mining Group VNG Corporation Data Mining Group_VNG Corporation 1 #12;Data Mining Group_VNG Corporation 2 1 ·Introduction 2 ·Edge Rank 3 ·Parameter Estimate 4 ·Conclusion #12;Data Mining Group_VNG Corporation 3 #12;Data Mining Group_VNG Corporation 4 #12; User's self activity Update status Write blogs

  10. Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants

    Reports and Publications (EIA)

    2013-01-01

    The current and future projected cost and performance characteristics of new electric generating capacity are a critical input into the development of energy projections and analyses.

  11. ITP Mining: Education Roadmap for Mining Professionals (December 2002)

    Broader source: Energy.gov [DOE]

    A profitable and stable mining industry is vital to U.S. economic and national security. This roadmap serves to educate those professionals in the mining industry.

  12. 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...

  13. 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

  14. A Multiple Model Cost-Sensitive Approach for Intrusion Detection

    E-Print Network [OSTI]

    Lee, Wenke

    that are optimized for user-de#12;ned cost metrics. Empirical experiments in o#11;- line analysis show a reduction of approximately 97% in operational cost over a single model approach, and a reduction of approximately 30 the initial results of our current research in extending our data mining framework to build cost

  15. Costs of Generating Electrical Energy 1.0 Overview

    E-Print Network [OSTI]

    McCalley, James D.

    /kg. The total cost of bringing uranium to the fuel rods of a nuclear power plant, considering mining, sometimes called production costs. We begin with nuclear. Enriched uranium (3.5% U-235) in a light water, "Parametric Study ofFront-EndNuclearFuelCycle Costs Using Reprocessed Uranium," January 2010. 2 This is a very

  16. PRB mines mature

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2007-08-15

    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.

  17. Advanced Fuel Cycle Cost Basis

    SciTech Connect (OSTI)

    D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert; E. Schneider

    2008-03-01

    This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 25 cost modules—23 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, transuranic, and high-level waste.

  18. Advanced Fuel Cycle Cost Basis

    SciTech Connect (OSTI)

    D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert

    2007-04-01

    This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 26 cost modules—24 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, and high-level waste.

  19. Advanced Fuel Cycle Cost Basis

    SciTech Connect (OSTI)

    D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert; E. Schneider

    2009-12-01

    This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 25 cost modules—23 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, transuranic, and high-level waste.

  20. Mining Views: Database Views for Data Mining Hendrik Blockeel #1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Views: Database Views for Data Mining Hendrik Blockeel #1 , Toon Calders 2 , Elisa Fromont adriana.prado}@ua.ac.be Abstract-- We present a system towards the integration of data mining mining views. We show that several types of patterns and models over the data, such as itemsets

  1. Frequent Set Meta Mining: Towards Multi-Agent Data Mining

    E-Print Network [OSTI]

    Coenen, Frans

    Frequent Set Meta Mining: Towards Multi-Agent Data Mining Kamal Ali Albashiri, Frans Coenen, Rob. The typical scenario where this is desirable is in multi-agent data mining where individual agents wish to preserve the security and privacy of their raw data but are prepared to share data mining results. Four

  2. 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

  3. Mining Views: Database Views for Data Mining Hendrik Blockeel1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Views: Database Views for Data Mining Hendrik Blockeel1 , Toon Calders2 , Elisa Fromont1 model towards the inte- gration of data mining into relational database systems, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets

  4. GROUND TRUTH WITH MINE COOPERATION Minnesota Taconite Mines

    E-Print Network [OSTI]

    Stump, Brian W.

    arrangement has been developed with a large taconite mine in the Mesabi Iron Range of Minnesota. Explosives are used to fracture relatively hard rock formations in order to facilitate the recovery of iron. The mine on understanding regional signals from hard rock mining practices. Mining operations in the Mesabi Iron Range

  5. Operating Costs

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

    1997-03-28

    This chapter is focused on capital costs for conventional construction and environmental restoration and waste management projects and examines operating cost estimates to verify that all elements of the project have been considered and properly estimated.

  6. 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

  7. Research at Mines Fiscal Year

    E-Print Network [OSTI]

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

  8. Data Mining and Business Analytics

    E-Print Network [OSTI]

    Data Mining and Business Analytics CertifiCate Programs spears school of business oklahoma state university #12;e ach year, students enrolled in the OSU Graduate Certificate in Business Data Mining program compete in a national data mining shootout competition at the annual analytics (data mining) conference

  9. Code input alternatives John C. Wright

    E-Print Network [OSTI]

    Wright, John C.

    ;Summary Use a data-centric model for input creation (code namelists, IPS config file, etc) Database

  10. Recommendation 177: Facilitating Early Public Input

    Broader source: Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  11. Countering Poisonous Inputs with Memetic Neuroevolution

    E-Print Network [OSTI]

    Togelius, Julian

    Countering Poisonous Inputs with Memetic Neuroevolution Julian Togelius1 , Tom Schaul1 , J-dimensional and/or ill-chosen state description. Evidently, some controller inputs are "poisonous also ex- plore which types of inputs are poisonous for two different reinforcement learning problems. 1

  12. Estimated Costs of Crop Production in Iowa 2002

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa ­ 2002 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs

  13. Estimated Costs of Crop Production in Iowa 2006

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa ­ 2006 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs

  14. Estimated Costs of Crop Production in Iowa 2005

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa ­ 2005 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs

  15. The Economic Impact of Coal Mining in New Mexico

    SciTech Connect (OSTI)

    Peach, James; Starbuck, C.

    2009-06-01

    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.

  16. Indonesian coal mining

    SciTech Connect (OSTI)

    NONE

    2008-11-15

    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.

  17. Algorithms for data mining

    E-Print Network [OSTI]

    Wang, Grant J. (Grant Jenhorn), 1979-

    2006-01-01

    Data of massive size are now available in a wide variety of fields and come with great promise. In theory, these massive data sets allow data mining and exploration on a scale previously unimaginable. However, in practice, ...

  18. Department of Energy Environmental Management cost infrastructure development program: Cost analysis requirements

    SciTech Connect (OSTI)

    Custer, W.R. Jr.; Messick, C.D.

    1996-03-31

    This report was prepared to support development of the Department of Energy Environmental Management cost infrastructure -- a new capability to independently estimate and analyze costs. Currently, the cost data are reported according to a structure that blends level of effort tasks with product and process oriented tasks. Also. the budgetary inputs are developed from prior year funding authorizations and from contractor-developed parametric estimates that have been adjusted to planned funding levels or appropriations. Consequently, it is difficult for headquarters and field-level activities to use actual cost data and technical requirements to independently assess the costs generated and identify trends, potential cost savings from process improvements, and cost reduction strategies.

  19. 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 on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX F Wetlands Assessment JulyDepartmentColoradoMining Mining

  20. Efficient Algorithms for High Dimensional Data Mining

    E-Print Network [OSTI]

    Rakthanmanon, Thanawin

    2012-01-01

    demonstration. Data Mining and Knowledge. Discovery 7, 4,Demonstration,” Data Mining and Knowledge Discovery, vol. 7,and S. Burschka. 2011. Data mining for hackers – encrypted

  1. Data Mining Historical Manuscripts and Culture Artifacts

    E-Print Network [OSTI]

    Zhu, Qiang

    2011-01-01

    information retrieval and data mining have had large impactsinformation retrieval and data mining. In the meanwhile, dueinformation retrieval and data mining have had a large

  2. 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

  3. Internet Usage Mining Using Random Forests

    E-Print Network [OSTI]

    Liu, Xuening

    2013-01-01

    Los Angeles Internet Usage Mining Using Random Forests Aof the Thesis Internet Usage Mining Using Random Forests bydata emerges, data mining is finally in the spotlight. This

  4. 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 Creation Analysis Optimization Scalable Database Mining Auto-Mining Agents CUTTING-EDGE CAPABILITIES

  5. Harrison Fell Colorado School of Mines Phone: (303) 273-3757

    E-Print Network [OSTI]

    Street Email: hfell@mines.edu Golden, CO 80401 Website: http://inside.mines.edu/~hfell Education at Residential Electricity Demand using Expenditure Data. International Journal of Industrial Organization, forthcoming. Fell, H. and J. Linn. Renewable Electricity Policy, Intermittency, and Cost

  6. Non-point source pollution control: an economic analysis of input taxes and alternative production technologies

    SciTech Connect (OSTI)

    Stevens, B.K.

    1982-01-01

    Non-point source pollutants, such as nitrate-nitrogen leached from croplands, cannot be controlled with residuals charges or standards since emissions of individual polluters cannot be measured. Using theoretical and empirical techniques, this study examines the economic properties of two methods that reduce pollution-generating input use: (1) input taxes (2) alternative production technologies. Allocation rules from a model of a Pareto optimum in the presence of a public goods externality are derived and compared to the behavior of individual profit-maximizing firms under the two control strategies. Firm behavior under input taxes can lead to an optimum and they retain the economic attributes of charges since increased prices for pollution-generating inputs affects the value of pollution output. However, voluntary or mandatory adoption of residual-input conserving technologies alone cannot lead firms to internalize an externality, even though a technology control changes input ratios since the quanity of inputs used is still determined by input and output prices. Additionally, higher input prices will induce firms to adopt more efficient technologies, rendering technology controls unnecessary. Thus, a Best Management Practices program based on alternative production technologies will not control pollution at least cost to society. These hypotheses are tested for nitrate-nitrogen leaching with a linear programming model of cropping activites in the Lower Tule Irrigation District of Tulare County, California. The findings support the hypothesis that a residuals charge on nitrates and input taxes on water and fertilizer can equivalently reduce pollution.

  7. Contracting with reading costs and renegotiation costs

    E-Print Network [OSTI]

    Brennan, James R.

    2007-01-01

    Reading Costs, Competition, and ContractReading Costs . . . . . . . . . . . . . . . . C. EquilibriumUnconscionability A?ect Reading Costs . . . . . . . . . .

  8. Input estimation from measured structural response

    SciTech Connect (OSTI)

    Harvey, Dustin [Los Alamos National Laboratory; Cross, Elizabeth [Los Alamos National Laboratory; Silva, Ramon A [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory; Bement, Matt [Los Alamos National Laboratory

    2009-01-01

    This report will focus on the estimation of unmeasured dynamic inputs to a structure given a numerical model of the structure and measured response acquired at discrete locations. While the estimation of inputs has not received as much attention historically as state estimation, there are many applications where an improved understanding of the immeasurable input to a structure is vital (e.g. validating temporally varying and spatially-varying load models for large structures such as buildings and ships). In this paper, the introduction contains a brief summary of previous input estimation studies. Next, an adjoint-based optimization method is used to estimate dynamic inputs to two experimental structures. The technique is evaluated in simulation and with experimental data both on a cantilever beam and on a three-story frame structure. The performance and limitations of the adjoint-based input estimation technique are discussed.

  9. Mines and Quarries: The Coal Mines (Firedamp Drainage) Regulations, 1960 

    E-Print Network [OSTI]

    Wood, Richard

    1960-01-01

    These regulations, which are made by the Minister of Power under section 141 of the Mines and Quarries Act, 1954, apply to the collecting of firedamp in coal mines before it has been diluted by any ventilation therein and ...

  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

    2008-01-01

    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. Cost-Sensitive Classification with Genetic Programming Jin Li, Xiaoli Li and Xin Yao

    E-Print Network [OSTI]

    Yao, Xin

    Cost-Sensitive Classification with Genetic Programming Jin Li, Xiaoli Li and Xin Yao The Centre.Yao}@cs.bham.ac.uk Abstract- Cost-sensitive classification is an attractive topic in data mining. Although genetic programming exploited to ad- dress cost-sensitive classification in the literature, where the costs of misclassification

  12. ,"Maine Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  13. Input apparatus for dynamic signature verification systems

    DOE Patents [OSTI]

    EerNisse, Errol P. (Albuquerque, NM); Land, Cecil E. (Albuquerque, NM); Snelling, Jay B. (Albuquerque, NM)

    1978-01-01

    The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

  14. ,"Washington Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","09...

  15. ,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  16. ,"Texas Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  17. 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

  18. A Green Technology to Mine Valuable Metals Biomining Laboratory

    E-Print Network [OSTI]

    Appanna, Vasu

    . Low energy demand 5. Low operating cost compared to other mining technologies 6. Cleaner tailings 7 Electroplating Pure Metals for Commercialization Extracted Metals Nickel, Copper, Cobalt, Titanium, Molybdenum Miners Copper Miners Nickel Miners #12;7 Biominers: Fungi in the non-stirred reactor Biomining fungus

  19. Effective Conveyor Belt Inspection for Improved Mining Productivity

    SciTech Connect (OSTI)

    Chris Fromme

    2006-06-01

    This document details progress on the project entitled ''Effective Conveyor Belt Inspection for Improved Mining Productivity'' during the period from November 15, 2004 to May 14, 2004. Highlights include fabrication of low-cost prototype hardware, acquisition of infrared thermal data, and initial design of a Smart-Camera based system.

  20. National Mining Association Experimental Determination

    E-Print Network [OSTI]

    National Mining Association Experimental Determination of Radon Fluxes over Water #12;Introduction research funded by the National Mining Association (NMA) regarding radon fluxes from water surfaces surfaces at uranium recovery operations are insignificant and approximate background soil fluxes for most

  1. US Nuclear Regulatory Commission Input to DOE Request for Information...

    Office of Environmental Management (EM)

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart...

  2. Minerals and mine drainage

    SciTech Connect (OSTI)

    Liang, H.C.; Thomson, B.M. [Tetra Technical Inc, Denver, CO (United States)

    2009-09-15

    A review of literature published in 2008 and early 2009 on research related to the production of acid mine drainage and/or in the dissolution of minerals as a result of mining, with special emphasis on the effects of these phenomena on the water quality in the surrounding environment, is presented. This review is divided into six sections: 1) Site Characterization and Assessment, 2) Protection, Prevention, and Restoration, 3) Toxicity Assessment, 4) Environmental Fate and Transport, 5) Biological Characterization, and 6) Treatment Technologies. Because there is much overlap in research areas associated with minerals and mine drainage, many papers presented in this review can be classified into more than one category, and the six sections should not be regarded as being mutually-exclusive, nor should they be thought of as being all-inclusive.

  3. US uranium mining industry: background information on economics and emissions

    SciTech Connect (OSTI)

    Bruno, G.A.; Dirks, J.A.; Jackson, P.O.; Young, J.K.

    1984-03-01

    A review of the US uranium mining industry has revealed a generally depressed industry situation. The 1982 U/sub 3/O/sub 8/ production from both open-pit and underground mines declined to 3800 and 6300 tons respectively with the underground portion representing 46% of total production. US exploration and development has continued downward in 1982. Employment in the mining and milling sectors has dropped 31% and 17% respectively in 1982. Representative forecasts were developed for reactor fuel demand and U/sub 3/O/sub 8/ production for the years 1983 and 1990. Reactor fuel demand is estimated to increase from 15,900 tons to 21,300 tons U/sub 3/O/sub 8/ respectively. U/sub 3/O/sub 8/ production, however, is estimated to decrease from 10,600 tons to 9600 tons respectively. A field examination was conducted of 29 selected underground uranium mines that represent 84% of the 1982 underground production. Data was gathered regarding population, land ownership and private property valuation. An analysis of the increased cost to production resulting from the installation of 20-meter high exhaust borehole vent stacks was conducted. An assessment was made of the current and future /sup 222/Rn emission levels for a group of 27 uranium mines. It is shown that /sup 222/Rn emission rates are increasing from 10 individual operating mines through 1990 by 1.2 to 3.8 times. But for the group of 27 mines as a whole, a reduction of total /sup 222/Rn emissions is predicted due to 17 of the mines being shutdown and sealed. The estimated total /sup 222/Rn emission rate for this group of mines will be 105 Ci/yr by year end 1983 or 70% of the 1978-79 measured rate and 124 Ci/yr by year end 1990 or 83% of the 1978-79 measured rate.

  4. School of Mines Undergraduate Bulletin

    E-Print Network [OSTI]

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

  5. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

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

  6. Probabilistic Workflow Mining Ricardo Silva

    E-Print Network [OSTI]

    Silva, Ricardo

    Probabilistic Workflow Mining Ricardo Silva School of Computer Science - CALD Carnegie Mellon a workflow representation of such activ- ities. In either case, machine learning tools that can mine workflow interest. Such a problem has been called process mining (van der Aalst and We- jters, 2004; Greco et al

  7. Logical Itemset Mining Shailesh Kumar

    E-Print Network [OSTI]

    Cortes, Corinna

    Logical Itemset Mining Shailesh Kumar Google Inc. Hyderabad, India Email: shkumar: {chandrasekhar.v@students, jawahar}@iiit.ac.in Abstract--Frequent Itemset Mining (FISM) attempts to find large baskets (projection property). We propose a simple and robust framework called LOGICAL ITEMSET MINING

  8. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    1 Asynchronous vs Synchronous Input-Queued Switches Andrea Bianco, Davide Cuda, Paolo Giaccone Dipartimento di Elettronica, Politecnico di Torino (Italy) 3 Abstract--Input-queued (IQ) switches are one of the reference archi- tectures for the design of high-speed packet switches. Classical results in this field

  9. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    Asynchronous vs Synchronous Input-Queued Switches Andrea Bianco, Davide Cuda, Paolo Giaccone, Fabio Neri Dipartimento di Elettronica, Politecnico di Torino (Italy) Abstract--Input-queued (IQ) switches are one of the reference architectures for the design of high-speed packet switches. Clas- sical results

  10. SATURATION COMPENSATING INPUT SHAPERS FOR REDUCING VIBRATION

    E-Print Network [OSTI]

    Singhose, William

    input shaper and feedback controller was successfully implemented by Drapeau and Wang on a five-bar The Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, GA 30332, USA ABSTRACT Input shaping can be used to eliminate or greatly reduce residual vibration of flexible mechanical

  11. Jerk Limited Input Shapers Tarunraj Singh

    E-Print Network [OSTI]

    Singh, Tarunraj

    ACC04 Jerk Limited Input Shapers Tarunraj Singh tsingh@eng.buffalo.edu State University of New York with the impulse sequence. Singh and Vadali [8] proposed a technique to design time-delay filters whose performance and Watanabe [11], multi-hump input shapers by Singhose et al., minimax filters by Singh [12], user specified

  12. Jerk Limited Input Shapers Tarunraj Singh

    E-Print Network [OSTI]

    Singh, Tarunraj

    Jerk Limited Input Shapers Tarunraj Singh Department of Mechanical and Aerospace Engineering SUNY. Singh and Vadali 5 pro- posed a technique to design time-delay filters whose performance was identical and Watanabe 6 , multi-hump input shapers by Singhose et al., minimax filters by Singh 7 , user specified time

  13. Interdisciplinary Institute for Innovation What cost for photovoltaic

    E-Print Network [OSTI]

    Boyer, Edmond

    Interdisciplinary Institute for Innovation What cost for photovoltaic modules in 2020? Lessons from@mines-paristech.fr hal-00805668,version2-27May2013 #12;1 What cost for photovoltaic modules in 2020? Lessons from Abstract Except in few locations, photovoltaic generated electricity remains considerably more expensive

  14. The estimated costs of corn, corn silage, soybeans, al-falfa, and pasture maintenance in this report are based

    E-Print Network [OSTI]

    Duffy, Michael D.

    The estimated costs of corn, corn silage, soybeans, al- falfa, and pasture maintenance record summaries, production and costs data from the Departments of Economics, Agricultural cooperatives and other input suppliers around the state. These costs estimates are representative of average

  15. U-139: IBM Tivoli Directory Server Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input.

  16. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  17. Options for developing countries in mining development

    SciTech Connect (OSTI)

    Walrond, G.W.; Kumar, R.

    1985-01-01

    This book is a study of the issues that developing countries face in planning and implementing mineral development, taking as case studies Botswana, Sierra Leone, Zambia, Tanzania, Malaysia, Papua New Guinea and the developed states of Quebec and Western Australia. The authors consider the major aspects of the matter including organization and administration; regulation; taxation and surplus distribution; the dynamics of such instruments as royalty, rent resource tax and capital allowances under various cost/price scenarios; and selected mining agreements and their key provisions. They stress throughout the need for foreign investment while maximizing the economic benefits reaped from exhaustible resources.

  18. Estimating production and cost for clamshell mechanical dredges 

    E-Print Network [OSTI]

    Adair, Robert Fletcher

    2005-02-17

    the actual cost. v ACKNOWLEDGEMENTS The author would like to thank his committee chair Dr. Robert Randall for all of his input and comments on this report and guidance throughout my graduate studies. He is also grateful for the recommendations................................................................................. 30 Introduction to Clamshell Cost Estimation................................................................... 30 Regional Cost Factors ................................................................................................... 30...

  19. Development of a Mine Rescue Drilling System (MRDS) :

    SciTech Connect (OSTI)

    Raymond, David W.; Gaither, Katherine N.; Polsky, Yarom; Knudsen, Steven D.; Broome, Scott Thomas; Su, Jiann-Cherng; Blankenship, Douglas A.; Costin, Laurence S.

    2014-06-01

    Sandia National Laboratories (Sandia) has a long history in developing compact, mobile, very high-speed drilling systems and this technology could be applied to increasing the rate at which boreholes are drilled during a mine accident response. The present study reviews current technical approaches, primarily based on technology developed under other programs, analyzes mine rescue specific requirements to develop a conceptual mine rescue drilling approach, and finally, proposes development of a phased mine rescue drilling system (MRDS) that accomplishes (1) development of rapid drilling MRDS equipment; (2) structuring improved web communication through the Mine Safety & Health Administration (MSHA) web site; (3) development of an improved protocol for employment of existing drilling technology in emergencies; (4) deployment of advanced technologies to complement mine rescue drilling operations during emergency events; and (5) preliminary discussion of potential future technology development of specialized MRDS equipment. This phased approach allows for rapid fielding of a basic system for improved rescue drilling, with the ability to improve the system over time at a reasonable cost.

  20. Wireless, relative-motion computer input device

    DOE Patents [OSTI]

    Holzrichter, John F.; Rosenbury, Erwin T.

    2004-05-18

    The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

  1. Cost Center: 9417 Job Number: 5501

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    Cost Center: 9417 Job Number: 5501 Job Title: Coil Bus Runs Job Manager: Mark Smith Estimate (user input) SCHEDULE FY09$K HOURS (priced at FY09 rates) ` % USER INPUT TASKS AND DESCRIPTIONS USER INPU $1**EM(analysisengr) EA**(Designer) EC**EM(computingEng EC**SB(ComputingTec EC**TB(ComputingTec EE**EM(ElctrEngr) EE**SM(SeniorElectr

  2. SWAT 2012 Input/Output Documentation 

    E-Print Network [OSTI]

    Arnold, J.G.; Kiniry, J.R.; Srinivasan, R.; Williams, J.R.; Haney, E.B.; Neitsch, S.L.

    2013-03-04

    The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to ...

  3. Germany knows mining

    SciTech Connect (OSTI)

    2006-11-15

    Whether it is the nuance of precision or robust rock breaking strength, German suppliers have the expertise. Germany has about 120 companies in the mining equipment industry, employing some 16,000 people. The article describes some recent developments of the following companies: DBT, Liebherr, Atlas Copco, BASF, Boart Longyear, Eickhoff, IBS, Maschinenfabrik Glueckauf, Komatsu, TAKRA, Terex O & R, Thyssen Krupp Foerdertechnik and Wirtgen. 7 photos.

  4. Distributed Data Mining: An Overview Yongjian Fu

    E-Print Network [OSTI]

    Fu, Yongjian

    Distributed Data Mining: An Overview Yongjian Fu Department of Computer Science University mining. We explain what distri­ bution data mining is and why distributed data mining is interesting. Problems and progress in distributed data mining are also discussed. 1 Introduction Facing a rapidly

  5. 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

  6. Oil shale mining studies and analyses of some potential unconventional uses for oil shale

    SciTech Connect (OSTI)

    McCarthy, H.E.; Clayson, R.L.

    1989-07-01

    Engineering studies and literature review performed under this contract have resulted in improved understanding of oil shale mining costs, spent shale disposal costs, and potential unconventional uses for oil shale. Topics discussed include: costs of conventional mining of oil shale; a mining scenario in which a minimal-scale mine, consistent with a niche market industry, was incorporated into a mine design; a discussion on the benefits of mine opening on an accelerated schedule and quantified through discounted cash flow return on investment (DCFROI) modelling; an estimate of the costs of disposal of spent shale underground and on the surface; tabulation of potential increases in resource recovery in conjunction with underground spent shale disposal; the potential uses of oil shale as a sulfur absorbent in electric power generation; the possible use of spent shale as a soil stabilizer for road bases, quantified and evaluated for potential economic impact upon representative oil shale projects; and the feasibility of co-production of electricity and the effect of project-owned and utility-owned power generation facilities were evaluated. 24 refs., 5 figs., 19 tabs.

  7. Ground control for highwall mining

    SciTech Connect (OSTI)

    Zipf, R.K.; Mark, C.

    2007-09-15

    Perhaps the greatest risk to both equipment and personnel associated with highwall mining is from ground control. The two most significant ground control hazards are rock falls from highwall and equipment entrapment underground. In the central Appalachians, where the majority of highwall mining occurs in the USA, hillseams (or mountain cracks) are the most prominent structure that affects highwall stability. The article discusses measures to minimise the risk of failure associated with hillstreams. A 'stuck' or trapped highwall miner, and the ensuring retrieval or recovery operation, can be extremely disruptive to the highwall mining process. Most entrapment, are due to roof falls in the hole. The options for recovery are surface retrieval, surface excavation or underground recovery. Proper pillar design is essential to maintain highwall stability and prevent entrapments. NIOSH has developed the Analysis of Retreat Mining Pillar stability-Highwall Mining (ARMPS-HWM) computer program to help mine planners with this process. 10 figs.

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

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    116 mm diameter holes would drill for both new and existingeach site. In this report. drill sizes are given in thethe equivalent. standard U.S. drill bit sizes. Table 1 shows

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

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    diameter shaft by conventional drilling, blasting andconventional shaft sinking method, which is the most common method of shaft excavation, involves the drilling and

  10. Coal Mining on Pitching Seams

    E-Print Network [OSTI]

    Brown, George MacMillan

    1915-01-01

    compressed air post punchers are used. Where the coal is undercut permissible explosives are used. On all solid shooting black powder is used. It might be said right here that black powder has caused more fires, explosions and deaths than any other one... thing in Oklahoma mines, with the exception probably of falls of rock. However, under ruling of the United States Bureau of Mines black powder will probably eventually be excluded from all mines on Indian lands. On the lower entries, owing...

  11. Exact Primitives for Time Series Data Mining

    E-Print Network [OSTI]

    Mueen, Abdullah Al

    2012-01-01

    on Knowledge discovery and data mining, KDD, pages 947–956,on Knowledge discovery and data mining, KDD ’11, pages [15]on Knowledge discovery and data mining, KDD ’03, pages 493–

  12. Data Mining Within a Regression Framework

    E-Print Network [OSTI]

    Richard A. Berk

    2011-01-01

    2003) Exploratory Data Mining and Data Cleaning. New York:I.H. and E. Frank. (2000). Data Mining. New York: Morgan and2001) Principle of Data Mining. Cambridge, Massachusetts:

  13. Data Mining Within a Regression Framework

    E-Print Network [OSTI]

    Richard A. Berk

    2011-01-01

    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:

  14. Exact Primitives for Time Series Data Mining

    E-Print Network [OSTI]

    Mueen, Abdullah Al

    2012-01-01

    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

    2011-01-01

    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

    2012-01-01

    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. Estimating Specialty Costs

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

    1997-03-28

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  18. Hydraulic mining method

    DOE Patents [OSTI]

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

    1985-08-20

    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.

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

    SciTech Connect (OSTI)

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

    2007-07-01

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

  20. Reverse Engineering a Signaling Network Using Alternative Inputs

    E-Print Network [OSTI]

    Tanaka, Hiromasa; Yi, Tau-Mu

    2009-01-01

    to our concept of an alternative input; ( 2) Parallelism,4 | Issue 10 | e7622 Alternative Inputs Theory 15. Huh WK,Synthetic morphology using alternative inputs. PLoS One 4:

  1. Input to Priorities Panel August 7, 2012

    E-Print Network [OSTI]

    · Comparison (1 GW overnight cost) · Coal $ 3B · Gas $ 1B · Nuclear $ 4B · Wind $ 2B · Solar-T $ 3B · ITER $25B 6 #12;Why is the cost so high? · World's most inefficient management structure · Technological over experiment · $2B - $4B too expensive · If a good design and mission ­ pool resources and build it · Invest

  2. FREQUENT SET MINING Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Chapter 17 FREQUENT SET MINING Bart Goethals Departement of Mathemati1cs and Computer Science, University of Antwerp, Belgium bart.goethals@ua.ac.be Abstract Frequent sets lie at the basis of many Data Mining algorithms. As a result, hun- dreds of algorithms have been proposed in order to solve

  3. 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

  4. Gravity Transform for Input Conditioning in

    E-Print Network [OSTI]

    Paiva, António R. C.

    Gravity Transform for Input Conditioning in Brain Machine Interfaces António R. C. Paiva, José C. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data Analysis #12;3 Outline 1. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data

  5. PUBLIC INFORMATION AND INPUT ON WIPP

    E-Print Network [OSTI]

    PUBLIC INFORMATION AND INPUT ON WIPP Get The Information You Need 1. Check the EPA Website, Fact Sheets and Issue Papers. EPA will make sure that key information is available on its WIPP Website. EPA the EPA WIPP Information Line at 1-800-331-WIPP (1-800-331-9477) to obtain information on upcoming events

  6. Green Computing input for better outcomes

    E-Print Network [OSTI]

    Zhao, Feng

    Journal Profile: Udi Dahan Green Maturity Model for Virtualization Profiling Energy Usage for Efficient suggests that tracking energy consumption at every level will become the factor of success for greenGreen Computing input for better outcomes Learn the discipline, pursue the art, and contribute

  7. Cost Sharing What is Cost Sharing?

    E-Print Network [OSTI]

    California at San Diego, University of

    into COEUS x OPAFS establishes project related IFIS fund and index numbers x Department tracks cost sharing sharing using various data fields (bin, fund, PI, index, etc.) x Create a Bin Generate a bin where cost1 Cost Sharing What is Cost Sharing? x Cost sharing is a commitment to use university resources

  8. Measuring mine roof bolt strains

    DOE Patents [OSTI]

    Steblay, Bernard J. (Lakewood, CO)

    1986-01-01

    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.

  9. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits...

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

    T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks U-001:Symantec IM Manager Input Validation Flaws...

  10. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  11. Tribal Leaders Provide White House with Input on Bolstering Climate...

    Energy Savers [EERE]

    Tribal Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 -...

  12. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case...

  13. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

    Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

    2010-11-01

    The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

  14. Estimated Costs of Crop Production in Iowa -2014 File A1-20

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa - 2014 File A1-20 T he estimated costs of corn, corn. They include the annual Iowa Farm Busi- ness Association record summaries, production and costs data from, and a survey of selected agricultural cooperatives and other input suppliers around the state. These cost

  15. Estimated Costs of Crop Production in Iowa -2012 File A1-20

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa - 2012 File A1-20 T he estimated costs of corn, corn. They include the annual Iowa Farm Business Asso- ciation record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs

  16. Estimated Costs of Crop Production in Iowa -2013 File A1-20

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa - 2013 File A1-20 T he estimated costs of corn, corn. They include the annual Iowa Farm Busi- ness Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These cost

  17. The estimated costs of corn, corn silage, soybeans, alfalfa, and pasture maintenance in this report are

    E-Print Network [OSTI]

    Duffy, Michael D.

    The estimated costs of corn, corn silage, soybeans, alfalfa, and pasture maintenance in this report summaries, production and costs data from the Depart- ments of Economics, Agricultural and Biosystems and other input suppliers around the state. These costs estimates are representative of average costs

  18. The ABCs of pump selection for mine dewatering

    SciTech Connect (OSTI)

    Morgan, S.E.

    2008-10-15

    Choosing the right type of pump for removing water from mine operations can provide significant benefits in overall performance and cost of operation. The article describes the types of pump most commonly used: vertical turbine pumps, electric and hydraulic submersible pumps, horizontal multistage centrifugal pumps and horizontal single-stage centrifugal pumps. It gives points to consider when selecting a suitable pump, including solids handling capacity and acid content, portability, automatic operation, easy maintenance and parts availability. 1 photo.

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

    E-Print Network [OSTI]

    Capecchi, Mario R.

    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, metals, and fuels each year, making mining an indispensable part of our daily life and world economy

  20. Cost Sharing Basics Definitions

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    Cost Sharing Basics Definitions Some funding agencies require the grantee institution the project costs. Cost sharing is defined as project costs not borne by the sponsor. Cost sharing funds may resources or facilities. If the award is federal, only acceptable non-federal costs qualify as cost sharing

  1. LLNL Input to SNL L2 MS: Report on the Basis for Selection of Disposal Options

    SciTech Connect (OSTI)

    Sutton, M; Blink, J A; Halsey, W G

    2011-03-02

    This mid-year deliverable has two parts. The first part is a synopsis of J. Blink's interview of the former Nevada Attorney General, Frankie Sue Del Papa, which was done in preparation for the May 18-19, 2010 Legal and Regulatory Framework Workshop held in Albuquerque. The second part is a series of sections written as input for the SNL L2 Milestone M21UF033701, due March 31, 2011. Disposal of high-level radioactive waste is categorized in this review into several categories. Section II discusses alternatives to geologic disposal: space, ice-sheets, and an engineered mountain or mausoleum. Section III discusses alternative locations for mined geologic disposal: islands, coastlines, mid-continent, and saturated versus unsaturated zone. Section IV discusses geologic disposal alternatives other than emplacement in a mine: well injection, rock melt, sub-seabed, and deep boreholes in igneous or metamorphic basement rock. Finally, Secton V discusses alternative media for mined geologic disposal: basalt, tuff, granite and other igneous/metamorphic rock, alluvium, sandstone, carbonates and chalk, shale and clay, and salt.

  2. Employee Replacement Costs

    E-Print Network [OSTI]

    Dube, Arindrajit; Freeman, Eric; Reich, Michael

    2010-01-01

    Samuel Schenker, “The Costs of Hir- u ing Skilled Workers”,Employee Replacement Costs Arindrajit Dube, Eric Freeman andof employee replacement costs, using a panel survey of

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

    E-Print Network [OSTI]

    Lee, Cin-Ty Aeolus

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

  4. 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

  5. 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

  6. Social Media Mining: Fundamental Issues and Challenges

    E-Print Network [OSTI]

    Liu, Huan

    Social Media Mining: Fundamental Issues and Challenges Mohammad Ali Abbasi, Huan Liu, and Reza Zafarani Data Mining and Machine Learning Lab Arizona State University http://icdm2013.zafarani.net December 10, 2013 #12;2Social Media Mining Measures and Metrics 2Social Media Mining ICDM 2013 Tutorial

  7. AREA OVERVIEW----Agent & Data Mining Interaction

    E-Print Network [OSTI]

    Cao, Longbing

    AREA OVERVIEW---- Agent & Data Mining Interaction (ADMI) Longbing Cao Faculty of Information in a Multiple Agent Environment", EWSL91, 1991 Agent-based data mining & knowledge discovery by Davies, W., 1994 Research topics Agent driven data mining Data mining driven agents & multi- agent systems Mutual issues

  8. ANALYSIS OF MINING EXPLOSION PERFORMANCE WITH MULTIPLE

    E-Print Network [OSTI]

    Stump, Brian W.

    ANALYSIS OF MINING EXPLOSION PERFORMANCE WITH MULTIPLE SENSOR DATA AND PHYSICAL MODELS Brian W Martin Thunder Basin Coal Company Wright, Wyoming #12;Analysis of Mining Explosion Performance 2 1 to Different Types of Mining Explosions · Single Shot · Cast Blast · Coal Fragmentation #12;Analysis of Mining

  9. 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

  10. 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

  11. SkyMine Carbon Mineralization Pilot Project

    SciTech Connect (OSTI)

    Joe Jones; Clive Barton; Mark Clayton; Al Yablonsky; David Legere

    2010-09-30

    This Topical Report addresses accomplishments achieved during Phase 1 of the SkyMine{reg_sign} Carbon Mineralization Pilot Project. The primary objectives of this project are to design, construct, and operate a system to capture CO{sub 2} from a slipstream of flue gas from a commercial coal-fired cement kiln, convert that CO{sub 2} to products having commercial value (i.e., beneficial use), show the economic viability of the CO{sub 2} capture and conversion process, and thereby advance the technology to a point of readiness for commercial scale demonstration and proliferation. The project will also substantiate market opportunities for the technology by sales of chemicals into existing markets, and identify opportunities to improve technology performance and reduce costs at commercial scale. The primary objectives of Phase 1 of the project were to elaborate proven SkyMine{reg_sign} process chemistry to commercial pilot-scale operation and complete the preliminary design ('Reference Plant Design') for the pilot plant to be built and operated in Phase 2. Additionally, during Phase 1, information necessary to inform a DOE determination regarding NEPA requirements for the project was developed, and a comprehensive carbon lifecycle analysis was completed. These items were included in the formal application for funding under Phase 2. All Phase 1 objectives were successfully met on schedule and within budget.

  12. SkyMine Carbon Mineralization Pilot Project

    SciTech Connect (OSTI)

    Christenson, Norm; Walters, Jerel

    2014-12-31

    This Topical Report addresses accomplishments achieved during Phase 2b of the SkyMine® Carbon Mineralization Pilot Project. The primary objectives of this project are to design, construct, and operate a system to capture CO2 from a slipstream of flue gas from a commercial coal-fired cement kiln, convert that CO2 to products having commercial value (i.e., beneficial use), show the economic viability of the CO2 capture and conversion process, and thereby advance the technology to the point of readiness for commercial scale demonstration and deployment. The overall process is carbon negative, resulting in mineralization of CO2 that would otherwise be released into the atmosphere. The project will also substantiate market opportunities for the technology by sales of chemicals into existing markets, and identify opportunities to improve technology performance and reduce costs at the commercial scale. The project is being conducted in two phases. The primary objectives of Phase 1 were to evaluate proven SkyMine® process chemistry for commercial pilot-scale operation and complete the preliminary design for the pilot plant to be built and operated in Phase 2, complete a NEPA evaluation, and develop a comprehensive carbon life cycle analysis. The objective of Phase 2b was to build the pilot plant to be operated and tested in Phase 2c.

  13. Input-ouput approximation for nonlinear structural dynamics 

    E-Print Network [OSTI]

    Beaver, Stefanie Rene'

    2009-05-15

    . Nonlinear Assumed Model with Fixed Rotation Rate . 51 V NONLINEAR INPUT-OUTPUT APPROXIMATION . . . . . . 54 A. Algorithm Overview . . . . . . . . . . . . . . . . . . . . . 54 B. Linear Input-Output Approximation . . . . . . . . . . . . 57 C. Least Squares.... Quadratic Assumed Modes with Higher-Order Terms . 77 ix CHAPTER Page 2. Application of Nonlinear Input-Output Approxi- mation Algorithm . . . . . . . . . . . . . . . . . . . . 81 a. Linear Input-Output Approximation . . . . . . . 82 b. Least Squares...

  14. Generalized Input/Output Equations and Nonlinear Realizability

    E-Print Network [OSTI]

    Wang, Yuan

    operator satisfies a possibly high-order differential input/output equation, then it is locally realizable-9108250 and DMS-9403924 Keywords: Generating series, local realization of input/output operators, input/outputGeneralized Input/Output Equations and Nonlinear Realizability Yuan Wang Mathematics Department

  15. Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile Finger Input Surfaces

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    to appropriate existing, large, passive sur- faces such as desks and walls, for use as a kind of input device typical house and office noises, for example, voice (90- 300Hz), singing (80-1200Hz), typical mechanical

  16. Maximizing productivity & profitability through best cost shift schedules

    SciTech Connect (OSTI)

    Coleman, R.

    1996-12-31

    If you have the right equipment and employees at the right place, the fight time, and the right cost, you have the perfect business schedule. But, if you`re like most mines, you can probably improve your schedule, improvements that will reach all the way to the bottom line. And unlike adding employees, materials, or capital equipment, better scheduling is a cost-free way improve profitability. A good schedule can save millions. A bad schedule will cost money every year. A shift schedule is not a day off pattern or shift length. A shift schedule is a complete system deploying personnel and capital equipment. Most mining schedules are either copied from another operation, based on tradition or the result of a contract negotiation made far from the mine site. Unfortunately, most mine managers don`t give much thought to schedules until a crisis develops; at which point the tendency is to implement the first solution that comes along as quickly as possible. Costly mistakes are made.

  17. Costs of Generating Electrical Energy 1.0 Overview

    E-Print Network [OSTI]

    McCalley, James D.

    uranium (3.5% U-235) in a light water reactor has an energy content of 960MWhr/kg [2], or multiplying by 3.41 MBTU/MWhr, we get 3274MBTU/kg. The total cost of bringing uranium to the fuel rods of a nuclear power plant, considering mining, transportation, conversion1 , enrichment, and fabrication, has been estimated

  18. Costs of Generating Electrical Energy 1.0 Overview

    E-Print Network [OSTI]

    McCalley, James D.

    . Enriched uranium (3.5% U-235) in a light water reactor has an energy content of 960MWhr/kg [2], or multiplying by 3.41 MBTU/MWhr, we get 3274MBTU/kg. The total cost of bringing uranium to the fuel rods of a nuclear power plant, considering mining, transportation, conversion1 , enrichment, and fabrication, has

  19. Privacy-preserving data mining 

    E-Print Network [OSTI]

    Zhang, Nan

    2009-05-15

    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...

  20. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines & Divisions. . . . . . . . . . . . . . . . 5 General Information . . . . . . . . . . . . . . . . . . . . . 6 Mission and Goals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Institutional Values

  1. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines . . . . . . . . . . . . . . . . . 5 Academic Departments & Divisions . . . . . . . . . . . . 5 General Information 6 Mission and Goals . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Institutional Values and Principles

  2. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines General Information . . . . . . . . . . . . . . . . . . . . . 6 Mission and Goals . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Institutional Values and Principles . . . . . . . . . . . . . . 6 History of CSM

  3. MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUM

    E-Print Network [OSTI]

    Ratigan, J.L.

    2013-01-01

    Static Evaluation of Mining Subsidence," Rep. No. LBL-11356,MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUMMODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR ~lliDIUM

  4. Data Mining Applied to Acoustic Bird Species Recognition

    E-Print Network [OSTI]

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

    2006-01-01

    11] Witten, I. ; Frank, E. ; Data Mining: Practical MachineData Mining Applied to Acoustic Bird Species Recognitionthe application of data mining techniques to the problem of

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

    E-Print Network [OSTI]

    Bilenker, Laura Danielle

    2011-01-01

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

  6. Data Mining Applied to Acoustic Bird Species Recognition

    E-Print Network [OSTI]

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

    2006-01-01

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

  7. Mining Time Series Data: Flying Insect Classification and Detection

    E-Print Network [OSTI]

    Chen, Yanping

    2015-01-01

    Application of Data Mining. ” KDD'11: 761-764, 2011. G.Wang, E. J. Keogh. “Querying and mining of time series data.Mining

  8. Metabolically active eukaryotic communities in extremely acidic mine drainage

    E-Print Network [OSTI]

    Baker, Brett J; Lutz, M A; Dawson, S C; Bond, P L; Banfield, J F

    2004-01-01

    Microbial communities in acid mine drainage. FEMS Microbiol.Biogeochem- istry of acid mine drainage at Iron Mountain,in an extreme acid mine drainage environment. Appl. Environ.

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

    E-Print Network [OSTI]

    Bilenker, Laura Danielle

    2011-01-01

    the formation of acid mine drainage: Colonization of pyritegroundwaters yields acid mine drainage. Pulverization of SMSand groundwaters can yield acid mine drainage via overall

  10. NUCLEAR ENERGY SYSTEM COST MODELING

    SciTech Connect (OSTI)

    Francesco Ganda; Brent Dixon

    2012-09-01

    The U.S. Department of Energy’s Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative “Island” approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island’s used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an island’s cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.

  11. Costs Associated With Compressed Natural Gas Vehicle Fueling Infrastructure

    SciTech Connect (OSTI)

    Smith, M.; Gonzales, J.

    2014-09-01

    This document is designed to help fleets understand the cost factors associated with fueling infrastructure for compressed natural gas (CNG) vehicles. It provides estimated cost ranges for various sizes and types of CNG fueling stations and an overview of factors that contribute to the total cost of an installed station. The information presented is based on input from professionals in the natural gas industry who design, sell equipment for, and/or own and operate CNG stations.

  12. Total Blender Net Input of Petroleum Products

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths30,2,8, 2015End Use:Input

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

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy and the National Mining Association are working in partnership to implement the Mining Industry of the Future strategy.

  14. ITP Mining: The Future Begins with Mining- A Vision of the Mining Industry of the Future

    Broader source: Energy.gov [DOE]

    This vision document details long-term goals and objectives for the mining industry. Stemming from this vision document, targeted technology roadmaps were developed that describe pathways of research to achieve the vision goals.

  15. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

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

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore »result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  16. Using Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty

    E-Print Network [OSTI]

    Sakellariou, Rizos

    Institute of Computing University of Campinas Av. Albert Einstein, 1251 Campinas, São Paulo, Brazil bit, UK rizos@cs.man.ac.uk Edmundo R. M. Madeira Institute of Computing University of Campinas Av. Albert information about duration of tasks and communication between tasks in the workflow. However, such information

  17. Cost Model and Cost Estimating Software

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

    1997-03-28

    This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

  18. Costing of Joining Methods -Arc Welding Costs

    E-Print Network [OSTI]

    Colton, Jonathan S.

    Costing of Joining Methods - Arc Welding Costs ver. 1 ME 6222: Manufacturing Processes and Systems.S. Colton © GIT 2009 5 #12;LaborLabor Di t ti f ldi· Direct time of welding ­ time to produce a length of weld ­ labor rate ­ multiplication gives labor cost per length · Set-up time, etc. · Personal time

  19. Automatically identifying critical input regions and code in applications

    E-Print Network [OSTI]

    Carbin, Michael James

    Applications that process complex inputs often react in different ways to changes in different regions of the input. Small changes to forgiving regions induce correspondingly small changes in the behavior and output. Small ...

  20. On the Wind Power Input to the Ocean General Circulation

    E-Print Network [OSTI]

    Zhai, Xiaoming

    The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

  1. Multivariate Input Models for Stochastic Simulation Michael E. Kuhl

    E-Print Network [OSTI]

    Kuhl, Michael E.

    Multivariate Input Models for Stochastic Simulation Michael E. Kuhl Department of Industrial are presented for modeling and randomly sampling many of the multivariate probabilistic input processes decision analysis illustrates the proposed technique. Also discussed is a multivariate extension

  2. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    prior to 7.0R9 and 7.1R ABSTRACT: The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause...

  3. The Coal and Other Mines (Mechanics and Electricians) Regulations 1965 

    E-Print Network [OSTI]

    Lee, Fred

    1965-01-01

    STATUTORY INSTRUMENTS 1965 No. 1559 MINES AND QUARRIES The Coal and Other Mines (Mechanics and Electricians) Regulations 1965

  4. ORS 517 - Mining and Mining Claims | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNewSt. Louis, Minnesota:Nulato,Nyack, - Mining and Mining Claims

  5. Mining | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE SafetyofDepartment. "NationalTechnologyThis tipSupply and cost

  6. Refinery Input by PADD - Petroleum Supply Annual (2004)

    SciTech Connect (OSTI)

    2009-01-18

    Table showing refinery input of crude oil and petroleum products by Petroleum Administration for Defense Districts (PADD).

  7. MODELING OF A NOVEL SOLUTION POTASH MINING PROCESS Sergio Almada, Harvey Haugen

    E-Print Network [OSTI]

    by drilling followed by a number of steps to develop a solution mining cavern. Water is injected to dissolve that is designed to increase the effi- cacy and reduce the cost. The process uses in- terconnected horizontal wells drilled through a high grade potash zone that should eventually dissolve out all the potash in the zone

  8. Transit Smart Card Data Mining for Passenger Origin Information Graduate Research Assistant

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Transit Smart Card Data Mining for Passenger Origin Information Extraction Xiaolei Ma Graduate inherent advantages in low labor cost and high efficiency for fare collection and transaction data archival. Although it is possible to collect highly valuable data from transit SC transactions, substantial efforts

  9. WIPP Takes Second in Mine Rescue Competition

    Broader source: Energy.gov [DOE]

    CARLSBAD, N.M. – EM’s Waste Isolation Pilot Plant (WIPP) mine rescue team placed second in the Southwestern Regional Mine Rescue Competition this past spring in Carlsbad, and it took home more than a trophy.

  10. Incident Data Analysis Using Data Mining Techniques 

    E-Print Network [OSTI]

    Veltman, Lisa M.

    2010-01-16

    of data mining and text mining to analyze the Hazardous Substances Emergency Events Surveillance (HSEES) system data by identifying relationships among variables, predicting the occurrence of injuries, and assessing the value added by the text data...

  11. 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

  12. 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

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

    SciTech Connect (OSTI)

    1998-09-01

    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.

  14. 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

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

    E-Print Network [OSTI]

    Barthelat, Francois

    mining engineering program in Canada and the second oldest in North America. The program offers students work term placements have included coal mining in New Mexico, zinc mining in the Arctic, gold mining Canada on work terms -- Val d'Or, Quebec; Fraser Lake, British Columbia; Ottawa and Sudbury, Ontario

  16. Spatial Data Mining, Michael May, Fraunhofer AIS 1 Spatial Data Mining for Customer

    E-Print Network [OSTI]

    Morik, Katharina

    Spatial Data Mining, Michael May, Fraunhofer AIS 1 Spatial Data Mining for Customer Segmentation Data Mining in Practice Seminar, Dortmund, 2003 Dr. Michael May Fraunhofer Institut Autonome Intelligente Systeme #12;Spatial Data Mining, Michael May, Fraunhofer AIS 2 Introduction: a classic example

  17. 08/22/2004 MRDM 2004 Workshop 1 Link MiningLink Mining

    E-Print Network [OSTI]

    Dzeroski, Saso

    08/22/2004 MRDM 2004 Workshop 1 Link MiningLink Mining Lise Getoor University of Maryland, College Park joint work with Indrajit Bhattacharya, Qing Lu and Prithviraj Sen #12;08/22/2004 MRDM 2004 detection · Group Detection · Conclusion #12;08/22/2004 MRDM 2004 Workshop 3 Link MiningLink Mining

  18. 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

  19. 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

  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. WindMine: Fast and Effective Mining of Web-click Sequences Yasushi Sakurai

    E-Print Network [OSTI]

    WindMine: Fast and Effective Mining of Web-click Sequences Yasushi Sakurai NTT Communication, patterns and anomalies? We have developed a novel method, WindMine, and its fine-tuning sibling, Wind of sequences (WindMine-part), with little loss of accuracy. We examine the effectiveness and scalability by per

  2. CERNA WORKING PAPER SERIES Strategic inputs into patent pools

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 CERNA WORKING PAPER SERIES Strategic inputs into patent pools Justus Baron Henry Delcamp Working;2 Strategic inputs into patent pools1 Justus BARON2 Henry DELCAMP3 Abstract: This article explores what factors determine the decision of a patent pool to accept new inputs. We propose a dynamic analysis

  3. Banded Matrix Fraction Representation of Triangular Input Normal Pairs

    E-Print Network [OSTI]

    Banded Matrix Fraction Representation of Triangular Input Normal Pairs Andrew P. Mullhaupt #3 if and only if A is triangular and AA #3; + BB #3; = I n , where I n is the identity matrix. Input normal and A is a matrix fraction, A = M 1 N , where M and N are triangular matrices of low bandwidth. For single input

  4. Coal mine methane global review

    SciTech Connect (OSTI)

    2008-07-01

    This is the second edition of the Coal Mine Methane Global Overview, updated in the summer of 2008. This document contains individual, comprehensive profiles that characterize the coal and coal mine methane sectors of 33 countries - 22 methane to market partners and an additional 11 coal-producing nations. The executive summary provides summary tables that include statistics on coal reserves, coal production, methane emissions, and CMM projects activity. An International Coal Mine Methane Projects Database accompanies this overview. It contains more detailed and comprehensive information on over two hundred CMM recovery and utilization projects around the world. Project information in the database is updated regularly. This document will be updated annually. Suggestions for updates and revisions can be submitted to the Administrative Support Group and will be incorporate into the document as appropriate.

  5. Utility Cost Analysis 

    E-Print Network [OSTI]

    Horn, S.

    1984-01-01

    One of the first steps in setting up an energy management program in a commercial building is determining operating costs per energy consuming system through a utility cost analysis. This paper illustrates utility cost analysis methods used...

  6. Activity Based Costing

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

    1997-03-28

    Activity Based Costing (ABC) is method for developing cost estimates in which the project is subdivided into discrete, quantifiable activities or a work unit. This chapter outlines the Activity Based Costing method and discusses applicable uses of ABC.

  7. Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

    SciTech Connect (OSTI)

    Rogge, Nicky; De Jaeger, Simon

    2012-10-15

    Highlights: Black-Right-Pointing-Pointer Complexity in local waste management calls for more in depth efficiency analysis. Black-Right-Pointing-Pointer Shared-input Data Envelopment Analysis can provide solution. Black-Right-Pointing-Pointer Considerable room for the Flemish municipalities to improve their cost efficiency. - Abstract: This paper proposed an adjusted 'shared-input' version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008.

  8. 96 IEEE POWER ELECTRONICS LETTERS, VOL. 2, NO. 3, SEPTEMBER 2004 Low-Input-Voltage, Low-Power Boost

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    , and Patrick L. Chapman, Member, IEEE Abstract--Issues associated with boost converter design and per- formance issues for a low-cost design. It is shown in theory and experiment that the boost converter has a voltage for low-input-voltage, low-power boost converters is mainly driven by two issues. First, high demand

  9. Estimated Costs of Crop Production in Iowa -2011 File A1-20

    E-Print Network [OSTI]

    Duffy, Michael D.

    Estimated Costs of Crop Production in Iowa - 2011 File A1-20 T heestimatedcostsofcorn the annual Iowa Farm Business Association record summaries, production and costs data from the Departments of selected agricultural coop- eratives and other input suppliers around the state. These costs estimates

  10. Mine roof geology information system

    SciTech Connect (OSTI)

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

    2005-05-01

    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.

  11. UK mining invests, suppliers profit

    SciTech Connect (OSTI)

    2009-04-15

    In the midst of a major economic crisis in the United Kingdom, equipment suppliers have been reporting a number of considerable purchases by British coal mining companies. In December 2008, Liebherr-Great Britain delivered the first two of four Rq350 Litronic hydraulic excavators for use at the Broken Cross opencast coal site in Lanarkshire, Scotland. Ten Terex TR100 rigid haulers were delivered to the site in late 2008. Hatfield Colliery at Stainforth, South Yorkshire, has been reopened by PowerFuel. The main equipment for two longwall faces was supplied by Joy Mining Machinery UK Ltd. 2 photos.

  12. Sharing Supermodular Costs

    E-Print Network [OSTI]

    2010-06-23

    For a particular class of supermodular cost cooperative games that arises from a scheduling ... the costs collectively incurred by a group of cooperating agents.

  13. Program of mining research, 1998--1999

    SciTech Connect (OSTI)

    1998-12-31

    The paper contains: Reflections on 1998; Project summaries; Noise; Injury prevention, ergonomics, and human factors; Surface, sand and gravel, and stone mines; Hazard detection and warning devices; Ground control -- metal/nonmetal mines; Ground control -- coal mines; Explosion and fire detection and suppression; Methane detection; Electrical hazards; Emerging technologies; Surveillance; Construction; Training and education; and Communication activity.

  14. 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

  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 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

  16. 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

  17. Short Papers___________________________________________________________________________________________________ Mining Multiple-Level Association

    E-Print Network [OSTI]

    Wu, Xindong

    ___________________________________________________________________________________________________ Mining Multiple-Level Association Rules in Large Databases Jiawei Han, Member, IEEE Computer Society for efficient mining of multiple-level association rules from large transaction databases based on the Apriori. Index TermsÐData mining, knowledge discovery in databases, association rules, multiple-level association

  18. Data Mining: Foundation, Techniques and Applications

    E-Print Network [OSTI]

    Tung, Anthony Kum Hoe

    Data Mining: Foundation, Techniques and Applications Anthony Tung() School of Computing National #12;11/30/2007 Data Mining: Foundation, Techniques and Applications 2 Main objectives of this course: · Data mining is a diverse field which draw its foundation from many research areas like databases

  19. WhartonDepartment of Statistics Data Mining

    E-Print Network [OSTI]

    Stine, Robert A.

    WhartonDepartment of Statistics Data Mining Introduction Bob Stine Dept of Statistics What is data mining? · An insult? · Predictive modeling · Large, wide data sets, often unstructuredDepartment of Statistics Plan · Week 1 · Data mining with regression, logistic regression · Illustrate key ideas

  20. Mining Sequential Patterns from Temporal Streaming Data

    E-Print Network [OSTI]

    Malerba, Donato

    Mining Sequential Patterns from Temporal Streaming Data A. Marascu and F. Masseglia INRIA Sophia.Marascu,Florent.Masseglia}@sophia.inria.fr Abstract. In recent years, emerging applications introduced new con- straints for data mining methods of our knowledge, no method has been proposed for mining sequential patterns in data streams. We argue

  1. Efficiently Mining Maximal Frequent Itemsets Karam Gouda

    E-Print Network [OSTI]

    Fiat, Amos

    Efficiently Mining Maximal Frequent Itemsets Karam Gouda and Mohammed J. Zaki ¡ ComputerMax, a backtrack search based algorithm for mining maximal frequent itemsets. GenMax uses a num- ber based on dataset characteristics. We found GenMax to be a highly efficient method to mine the exact set

  2. 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

  3. 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

  4. MINING TEMPORAL SEQUENCES TO DISCOVER INTERESTING PATTERNS

    E-Print Network [OSTI]

    Holder, Lawrence B.

    MINING TEMPORAL SEQUENCES TO DISCOVER INTERESTING PATTERNS Edwin O. Heierman, III, G. Michael, Texas 76019-0015 {heierman, youngbld, cook@cse.uta.edu ABSTRACT When mining temporal sequences sequences. In this paper, we present a novel data mining technique based on the Minimum Description Length

  5. DATA MINING IN TELECOMMUNICATIONS Gary M. Weiss

    E-Print Network [OSTI]

    Weiss, Gary

    DATA MINING IN TELECOMMUNICATIONS Gary M. Weiss Department of Computer and Information Science data, which describes the telecommunication customers. This chapter describes how data mining can be used to uncover useful information buried within these data sets. Several data mining applications

  6. Statistical data mining Finn Arup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Statistical data mining Finn °Arup Nielsen Informatics and Mathematical Modelling Technical University of Denmark February 3, 2004 #12;Introduction · "Statistical data mining". · The goal is "knowledge databases (PubMed, MeSH, fMRIDC, SenseLab) Finn °Arup Nielsen 2 February 3, 2004 #12;Mining for novelty

  7. 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

  8. Dawdon Mine Water Heat Pump Trial

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    14-Dec-12 Dawdon Mine Water Heat Pump Trial #12;14 December 2012 2 Potential for Mine Water sourced heating Dawdon heat pump trial A demonstration project Contents #12;Friday, 14 December 2012 3 The UK salinity High Iron (removed by lime treatment) Offices , 8 rooms #12;Dawdon heat pump Warm mine water

  9. Frontiers of biomedical text mining: current progress

    E-Print Network [OSTI]

    Yu, Hong

    Frontiers of biomedical text mining: current progress Pierre Zweigenbaum, Dina Demner-Fushman, Hong of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or `Bio

  10. 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

  11. COLORADO SCHOOL OF MINES CONTROLLER'S OFFICE

    E-Print Network [OSTI]

    COLORADO SCHOOL OF MINES CONTROLLER'S OFFICE PROCUREMENT CARD HANDBOOK Revised November 2014 #12 ........................................................................................................9 #12;3 Introduction Procurement is a daily occurrence at Colorado School of Mines. The CSM VI.B.1.a]. There are many benefits to using the P-Card over any other methods of purchasing at Mines

  12. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining #12;Course logistics · Course webpage: ­ www.cs.bu.edu/~evimaria/teaching.html · Schedule: Mon ­ Wed, 4-5:30 · Instructor: Evimaria Terzi, evimaria@cs.bu.edu · Office hours: Mon 2:30-4pm (tentative) · Introduction to data mining and prototype problems · Frequent pattern mining ­ Frequent

  13. Cost Estimating Handbook for Environmental Restoration

    SciTech Connect (OSTI)

    1990-09-01

    Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

  14. High-frequency matrix converter with square wave input

    DOE Patents [OSTI]

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  15. Modeled atmospheric radon concentrations from uranium mines

    SciTech Connect (OSTI)

    Droppo, J.G.

    1985-04-01

    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.

  16. 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.

  17. Corner-cutting mining assembly

    DOE Patents [OSTI]

    Bradley, John A. (San Antonio, TX)

    1983-01-01

    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.

  18. Corner-cutting mining assembly

    DOE Patents [OSTI]

    Bradley, J.A.

    1981-07-01

    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.

  19. Cost Estimation Package

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

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  20. A chronicle of costs

    SciTech Connect (OSTI)

    Elioff, T.

    1994-04-01

    This report contains the history of all estimated costs associated with the superconducting super collider.

  1. Life Cycle Cost Estimate

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

    1997-03-28

    Life-cycle costs (LCCs) are all the anticipated costs associated with a project or program alternative throughout its life. This includes costs from pre-operations through operations or to the end of the alternative.This chapter discusses life cycle costs and the role they play in planning.

  2. Cost Methodology for Biomass Feedstocks: Herbaceous Crops and Agricultural Residues

    SciTech Connect (OSTI)

    Turhollow Jr, Anthony F; Webb, Erin; Sokhansanj, Shahabaddine

    2009-12-01

    This report describes a set of procedures and assumptions used to estimate production and logistics costs of bioenergy feedstocks from herbaceous crops and agricultural residues. The engineering-economic analysis discussed here is based on methodologies developed by the American Society of Agricultural and Biological Engineers (ASABE) and the American Agricultural Economics Association (AAEA). An engineering-economic analysis approach was chosen due to lack of historical cost data for bioenergy feedstocks. Instead, costs are calculated using assumptions for equipment performance, input prices, and yield data derived from equipment manufacturers, research literature, and/or standards. Cost estimates account for fixed and variable costs. Several examples of this costing methodology used to estimate feedstock logistics costs are included at the end of this report.

  3. Pbm: A new dataset for blog mining

    E-Print Network [OSTI]

    Aziz, Mehwish

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpreting the results. There are numerous approaches for performing text mining tasks, like: clustering, categorization, sentimental analysis, and summarization. There is a growing need to standardize the evaluation of these tasks. One major component of establishing standardization is to provide standard datasets for these tasks. Although there are various standard datasets available for traditional text mining tasks, but there are very few and expensive datasets for blog-mining task. Blogs, a new genre in web 2.0 is a digital...

  4. V-192: Symantec Security Information Manager Input Validation...

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

    2: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information...

  5. Addressing Uncertainty in Desigh Inputs: A Case Study of Probabilisti...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael...

  6. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    ABSTRACT: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks. reference LINKS: SecurityTracker Alert ID:...

  7. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    Validation Flaw Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks...

  8. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments...

    Office of Environmental Management (EM)

    Notices) Smart Grid Implementation Input - NRC Contact: Kenn A. Miller, Office of Nuclear Reactor Regulation, 301-415-3152 Comments relevant to the following two sections...

  9. V-192: Symantec Security Information Manager Input Validation...

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

    Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information...

  10. ,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  11. Data mining and visualization techniques

    DOE Patents [OSTI]

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

    2004-03-23

    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.

  12. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    an ability to learn independently Professional technical courses include surface and underground mining, mining equipment, coal and mineral preparation, plant and mine design, geology, and water control of the operation of a mining enterprise. Local coal fields, mines, and preparation plants provide extensive

  13. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    include surface and underground mining, rock mechanics and ground control, mine health and safety, mineral/coal · Vladislav Kecojevic - Ph.D. (University of Belgrade) Surface Mining, Aggregates Production, Mine MaterialsWest Virginia University 1 Department of Mining Engineering Degrees Offered · Masters of Science

  14. Mining withdrawals by water quality and State, 2005. EXPLANATION

    E-Print Network [OSTI]

    Mining withdrawals by water quality and State, 2005. 0 to 10 10 to 50 50 to 100 100 to 200 200 mining withdrawals Freshwater mining withdrawals Saline-water mining withdrawals Estimated Use of Water in the United States in 2005 - Mining USGS Water-Science School -- http://ga.water.usgs.gov/edu/wumi.html Source

  15. Direct/Indirect Costs

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

    1997-03-28

    This chapter provides recommended categories for direct and indirect elements developed by the Committee for Cost Methods Development (CCMD) and describes various estimating techniques for direct and indirect costs.

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

    E-Print Network [OSTI]

    Haunch, Simon

    2013-11-28

    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, ...

  17. ITP Mining: Mining Industry of the Future Mineral Processing Technology Roadmap

    Office of Energy Efficiency and Renewable Energy (EERE)

    In June 1998, the Chairman of the National Mining Association and the Secretary of energy entered into a Compact to pursue a collaborative technology research partnership, the Mining Industry of the Future.

  18. Injury experience in coal mining, 1990

    SciTech Connect (OSTI)

    1991-01-01

    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 1990. 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.

  19. Injury experience in metallic mineral mining, 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of metallic mineral 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.

  20. Power Plant Cycling Costs

    SciTech Connect (OSTI)

    Kumar, N.; Besuner, P.; Lefton, S.; Agan, D.; Hilleman, D.

    2012-07-01

    This report provides a detailed review of the most up to date data available on power plant cycling costs. The primary objective of this report is to increase awareness of power plant cycling cost, the use of these costs in renewable integration studies and to stimulate debate between policymakers, system dispatchers, plant personnel and power utilities.

  1. Data Mining et Statistique Philippe Besse

    E-Print Network [OSTI]

    Besse, Philippe

    Data Mining et Statistique Philippe Besse , Caroline Le Gall , Nathalie Raimbault & Sophie Sarpy§ R´esum´e Cet article propose une introduction au Data Mining. Celle-ci prend la forme d'une r´eflexion sur les quelques ensei- gnements sur les pratiques du data mining : choix d'une m´ethode, comp´etences de l

  2. The Dona Maria Mining and Milling Company

    E-Print Network [OSTI]

    Blackmar, Frank H.

    1912-06-01

    KU ScholarWorks | The University of Kansas Pre-1923 Dissertations and Theses Collection The Dona Maria Mining and Milling Company 1912 by Frank Hollister Blackmar This work was digitized by the Scholarly Communications program staff in the KU... Libraries’ Center for Digital Scholarship. http://kuscholarworks.ku.edu A thesis submitted to the department of Mining Engineering of the University of Kansas in partial fulfillment of the requirements for the degree of Mining Engineer. rJj, •» Jf* T3E...

  3. Submodule construction for specifications with input assumptions and output guarantees *

    E-Print Network [OSTI]

    von Bochmann, Gregor

    bisimulation as conformance relation), and by synchronous finite state machines [Kim 97]. A restricted with synchronous communication or interleaving semantics. The paper also provides a new solution formula input and output. A new submodule construction algorithm for synchronous, partially defined input

  4. Coordination of Multiple Non-Holonomic Agents with Input Constraints

    E-Print Network [OSTI]

    Loizou, Savvas G.

    -aircraft systems modeled as hybrid systems. With the advent of powerful formal verification tools, there has been with aircraft-like kinematic constraints. A model of a system of input-constrained non- holonomic agents by Belta et al. in [10]. In this paper, a discrete model of a system with input- constrained non

  5. Regression Given input data (features), predict value of a

    E-Print Network [OSTI]

    Giger, Christine

    Regression #12;Regression ! · Given input data (features), predict value of a continuous quantity;! · Assumption: linear relation between input and output Linear regression y = 0 + 1x y = > x x = 1 x > #12 ^ = (XX> ) 1 Xy etc. #12;! · Many relations are not linear · The complete graph Non-linear regression #12

  6. Regression Given input data (features), predict value of a

    E-Print Network [OSTI]

    Giger, Christine

    Regression #12;Regression · Given input data (features), predict value of a continuous quantity;· Assumption: linear relation between input and output Linear regression y = 0 + 1x x = 1 x1 x2 . . . xn y · The complete graph Non-linear regression #12;· Need to fit non-linear functions · example: polynomials Non

  7. Input of 129 I into the western Pacific Ocean resulting

    E-Print Network [OSTI]

    Buesseler, Ken

    Input of 129 I into the western Pacific Ocean resulting from the Fukushima nuclear event S. J characterization of the input of 129 I into the Pacific Ocean resulting from the 2011 Fukushima nuclear accident at the Fuku- shima Daiichi nuclear power plant that caused the release of radioactive elements

  8. EXPERIMENTAL ANALYSIS OF INPUT WEIGHT FREEZING IN CONSTRUCTIVE NEURAL NETWORKS

    E-Print Network [OSTI]

    Yeung, Dit-Yan

    EXPERIMENTAL ANALYSIS OF INPUT WEIGHT FREEZING IN CONSTRUCTIVE NEURAL NETWORKS Tin­Yau Kwok Dit network. One calls for freezing the input weights of the original network and training only those of freezing is different for different problem domains and hence is not conclusive. This paper describes

  9. Channel bed evolution and sediment transport under declining sand inputs

    E-Print Network [OSTI]

    Montgomery, David R.

    Channel bed evolution and sediment transport under declining sand inputs Karen B. Gran,1,2 David R structure development and sediment transport as sand inputs decline. On the Pasig-Potrero River, we investigated channel recovery following emplacement of sand-rich pyroclastic deposits in the 1991 eruption

  10. Efficient Peak Power Estimation using Probabilistic Cost-Benefit Analysis

    E-Print Network [OSTI]

    Mishra, Prabhat

    unreliable and vulnerable to power attacks, whereas pessimistic design can lead to unacceptable de- sign overhead. The power virus problem is defined as finding input patterns that can maximize switching activity power virus generation technique utilizing a probabilistic cost-benefit analysis. To maximize switching

  11. Coal supply and cost under technological and environmental uncertainty

    E-Print Network [OSTI]

    Coal supply and cost under technological and environmental uncertainty Submitted in partial, and Rod Lawrence at Foundation Coal. I received a lot of feedback and input on this report, and would like chapters. My conversations with Kurt Walzer at Clean Air Task Force and Rory McIlmoil at Coal Valley Wind

  12. Mining Industry Profile | Department of Energy

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

    utilities, the primary metals industry, non-metallic minerals industry (glass, cement, lime), and the construction industry. Employment Mining operations are often the leading...

  13. Enterprise Assessments Review of Mine Safety, Stabilization,...

    Energy Savers [EERE]

    with the limited available airflows in the mine, and the status and condition of emergency escape and evacuation systems. Nuclear Waste Partnership, LLC (NWP), the...

  14. The LSST Data Mining Research Agenda

    E-Print Network [OSTI]

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

    2008-11-02

    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.

  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. 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

  17. Robust Learning from Bites for Data Mining Andreas Christmann

    E-Print Network [OSTI]

    Robust Learning from Bites for Data Mining Andreas Christmann Vrije Universiteit Brussel minimization, data mining, distributed computing, influence function, logistic regression, robustness management, respectively. Other examples are large observational data sets in data mining projects and data

  18. Astroinformatics, data mining and the future of astronomical research

    E-Print Network [OSTI]

    Longo, Giuseppe

    Astroinformatics, data mining and the future of astronomical research Massimo Bresciaa , Giuseppe the implementation of advanced data mining procedures. The complexity of astronomical data and the variety of ICT technologies. Keywords: astroinformatics, Data Mining, virtual organizations 1. Introduction

  19. Data Mining for Improving Health-Care Resource Deployment

    E-Print Network [OSTI]

    He, Nannan

    2014-01-01

    model establishments and data mining algorithm application.a comparison of three data mining methods. ArtificialIan H.Witten, E. F. (2011). Data Mining:Practical Machine

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

    E-Print Network [OSTI]

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

    2008-01-01

    creep,” see Mary DeRosa, Data Mining and Data Analysis for29 DeRosa, Data Mining and Data Analysis at 19 (cited in31 See DeRosa, Data Mining and Data Analysis at 17–18 (cited

  1. Text mining for user perspectives on the physical workplace

    E-Print Network [OSTI]

    Goins, John; Moezzi, Mithra

    2011-01-01

    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

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

    E-Print Network [OSTI]

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

    2008-01-01

    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:

  3. 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

  4. 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

    2010-01-01

    may 2010 Mercury-Contaminated Hydraulic Mining Debris in SanCA 94025 Abstract The hydraulic gold-mining process usedsediment created by hydraulic gold mining in the Sierra

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

    E-Print Network [OSTI]

    Kargupta, Hilol

    Distributed Multivariate Regression Using Wavelet-based Collective Data Mining. Daryl E a method for distributed multivariate regression using wavelet- based Collective Data Mining (CDM employed in parametric multivariate regression to provide an effective data mining technique for use

  6. The Alta Mine: A Multidisciplinary Analysis of an Acid

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    i #12;The Alta Mine: A Multidisciplinary Analysis of an Acid Mine Drainage Environment LRES 442, and environmental microbiology; all disciplines highly appropriate to the study of acid mine/rock drainage

  7. MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUM

    E-Print Network [OSTI]

    Ratigan, J.L.

    2013-01-01

    Finite Element Program for Static Evaluation of MiningAugust 3-6, 1981 MODELING OF STATIC MINING SUBSIDENCE IN ALBL-11896 MODELING OF STATIC MINING SUBSIDENCE IN A

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

    E-Print Network [OSTI]

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

    2008-01-01

    17 DHS Privacy Office, Data Mining Report: DHS Privacyfor data mining programs, the DHS Privacy Office requestedOffice has argued, strong data quality standards should be adopted for all information used in data mining.

  9. Cost Model for Digital Curation: Cost of Digital Migration

    E-Print Network [OSTI]

    Kejser, Ulla Bøgvad; Nielsen, Anders Bo; Thirifays, Alex

    2009-01-01

    Steece, B. 2000. Software cost estimation with COCOMO II.Developing a Framework of Cost Elements for PreservingAshley, K. 1999. Digital archive costs: Facts and fallacies.

  10. Hydrologic and Aquatic Species Implications of the Proposed Pebble Mine, Bristol Bay, Alaska

    E-Print Network [OSTI]

    Cundy, Fiona

    2012-01-01

    causing  acid  mine  drainage   (Moran  2007).     Problem  potential  for  acid  mine  drainage,  due  to  the   high  

  11. COST OF SECURITY: FIREWALL FOCUS

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

    Warner Michigan Technological University Estevan Trujillo New Mexico Institute of Mining and Technology Kyle Sandoval California State University, San Bernardino Computer...

  12. The Direct Costs and Benefits of US Electric Utility Divestitures

    E-Print Network [OSTI]

    Triebs, Thomas P.; Pollitt, Michael G.; Kwoka, John E.

     output variables. The two inputs are the sum of  distribution  O&M,  customer  service  expenses,  and  sales  expenses  (Opex)  and  capital  expenses  (Capex).  Both  include  shares  of  general  and  administrative  expense  and  general plant expense. We...  of own generation plus the cost of purchased power.  The total cost of own generation is measured as the sum of O&M and capital expenses.  For  generation  we  measure  Capex  differently  to  make  costs  of  own  generation  and  purchased power more comparable. Similar  to Farsi and Filippini  (2005...

  13. DAME: a Web Oriented Infrastructure for Scientific Data Mining & Exploration

    E-Print Network [OSTI]

    Longo, Giuseppe

    DAME: a Web Oriented Infrastructure for Scientific Data Mining & Exploration Massimo Bresciaa (DAta Mining & Exploration) is an innovative, general purpose, Web-based, VObs compliant, distributed

  14. Data mining for ontology development.

    SciTech Connect (OSTI)

    Davidson, George S.; Strasburg, Jana; Stampf, David; Neymotin,Lev; Czajkowski, Carl; Shine, Eugene; Bollinger, James; Ghosh, Vinita; Sorokine, Alexandre; Ferrell, Regina; Ward, Richard; Schoenwald, David Alan

    2010-06-01

    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.

  15. Canada's natural resources industries (particularly oil sands production, hard rock mining and forestry) face local challenges and opportunities

    E-Print Network [OSTI]

    Rosen-Zvi, Michal

    Canada's natural resources industries (particularly oil sands production, hard rock mining and society. For example, oil sands production is pushing innovation in how and where oil can be produced costs, predict maintenance issues and increase safety and environmental performance. As oil sands

  16. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, TPDS-2011-05-0327.R1 1 Mining Frequent Trajectory Patterns for

    E-Print Network [OSTI]

    Pei, Jian

    . For example, in chemical plants or large industrial workshops, security control staffs have to monitor provides an economically attractive solution due to the low cost of RF tags and readers. Another novelty verifies the feasibility and the effectiveness of this design. Index Terms--Active RFID, Mining, Trajectory

  17. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

    1993-01-01

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  18. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  19. Landfill mining: A critical review of two decades of research

    SciTech Connect (OSTI)

    Krook, Joakim; Svensson, Niclas; Eklund, Mats

    2012-03-15

    Highlights: Black-Right-Pointing-Pointer We analyze two decades of landfill mining research regarding trends and topics. Black-Right-Pointing-Pointer So far landfill mining has mainly been used to solve waste management issues. Black-Right-Pointing-Pointer A new perspective on landfills as resource reservoirs is emerging. Black-Right-Pointing-Pointer The potential of resource extraction from landfills is significant. Black-Right-Pointing-Pointer We outline several key challenges for realization of resource extraction from landfills. - Abstract: Landfills have historically been seen as the ultimate solution for storing waste at minimum cost. It is now a well-known fact that such deposits have related implications such as long-term methane emissions, local pollution concerns, settling issues and limitations on urban development. Landfill mining has been suggested as a strategy to address such problems, and in principle means the excavation, processing, treatment and/or recycling of deposited materials. This study involves a literature review on landfill mining covering a meta-analysis of the main trends, objectives, topics and findings in 39 research papers published during the period 1988-2008. The results show that, so far, landfill mining has primarily been seen as a way to solve traditional management issues related to landfills such as lack of landfill space and local pollution concerns. Although most initiatives have involved some recovery of deposited resources, mainly cover soil and in some cases waste fuel, recycling efforts have often been largely secondary. Typically, simple soil excavation and screening equipment have therefore been applied, often demonstrating moderate performance in obtaining marketable recyclables. Several worldwide changes and recent research findings indicate the emergence of a new perspective on landfills as reservoirs for resource extraction. Although the potential of this approach appears significant, it is argued that facilitating implementation involves a number of research challenges in terms of technology innovation, clarifying the conditions for realization and developing standardized frameworks for evaluating economic and environmental performance from a systems perspective. In order to address these challenges, a combination of applied and theoretical research is required.

  20. 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

  1. Toward mining of spatiotemporal maximal frequent patterns

    E-Print Network [OSTI]

    Malerba, Donato

    show that propositional spatiotemporal logic PSTL is a powerful tool for mining in various and temporal features and show that the spa- tiotemporal logic ST0 is powerful enough for mining interesting in future), windstorms data where K is a unique identifier for a strong wind, and the frequent pattern year

  2. COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM

    E-Print Network [OSTI]

    change, the Colorado School of Mine's (CSM) Performance Management Steering Committee was established Program to be effective for the performance management cycle beginning April 1, 2007. Further changes1 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM Revised October 1, 2008 I. HISTORY Since

  3. COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM

    E-Print Network [OSTI]

    1 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM Revised October 1, 2008 I. HISTORY Since change, the Colorado School of Mine's (CSM) Performance Management Steering Committee was established the administration in the development and implementation of the School's Performance Pay Program. The original

  4. Visual Web Mining Amir H. Youssefi

    E-Print Network [OSTI]

    Bystroff, Chris

    Visual Web Mining Amir H. Youssefi Rensselaer Polytechnic Institute 110 Eight St. Troy, NY 12180 Rensselaer Polytechnic Institute 110 Eight St. Troy, NY 12180 zaki@cs.rpi.edu ABSTRACT Analysis of web site of the web, and secondly, the structural complexity of web sites. In this paper we apply Data Mining

  5. 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

  6. 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

  7. Jon Espen Ingvaldsen Semantic Process Mining of

    E-Print Network [OSTI]

    Planning (ERP) systems are commonly stated in research as promising areas for process mining. ERP systems have conducted studies on applying process mining techniques on real life ERP transaction data and we and interpret ERP transaction data? RQ2. Can reliable business process traces be extracted from large

  8. Mining Binary Expressions: Applications and Toon Calders

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Binary Expressions: Applications and Algorithms Toon Calders Jan Paredaens Universiteit Antwerpen, Departement Wiskunde-Informatica, Universiteitsplein 1, B-2610 Wilrijk, Belgium. {calders,pareda}@uia.ua.ac.be Technical report TR0008, June 2000 Abstract In data mining, searching for frequent patterns is a common

  9. Mining Train Delays Boris Cule1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Train Delays Boris Cule1 , Bart Goethals1 , Sven Tassenoy2 , and Sabine Verboven2,1 1, Belgium 2 INFRABEL - Network, Department of Innovation, Barastraat 110, 1070 Brussels, Belgium Keywords Pattern Mining, Data Analysis, Train Delays Abstract The Belgian railway network has a high traffic

  10. Technical Report Mining Interesting Sets and Rules

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Technical Report 09.02 Mining Interesting Sets and Rules in Relational Databases Bart Goethals, Wim Middelheimlaan 1 B-2020 Antwerp ­ Belgium #12;1 Abstract In this paper we propose a new and elegant approach toward the generalization of frequent itemset mining to the multi-relational case. We define relational

  11. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining #12;Course logistics · Course webpage: ­ http://www.cs.bu.edu/~evimaria/cs565-11.html · Schedule: Mon ­ Wed, 2:30-4:00 · Instructor: Evimaria Terzi, evimaria@cs.bu.edu · Office@bu.edu #12;Topics to be covered (tentative) · Introduction to data mining and prototype problems · Frequent

  12. Marine Traffic Engineering through Relational Data Mining

    E-Print Network [OSTI]

    Ceci, Michelangelo

    Marine Traffic Engineering through Relational Data Mining Antonio Bruno1 and Annalisa Appice1,2 1-relational method of frequent pattern discovery into the marine traffic investigation. Multi-relational data mining collected in the gulf of Taranto. 1 Introduction Marine traffic engineering is a research field originally

  13. Underground physics without underground labs: large detectors in solution-mined salt caverns

    E-Print Network [OSTI]

    Benjamin Monreal

    2014-09-30

    A number of current physics topics, including long-baseline neutrino physics, proton decay searches, and supernova neutrino searches, hope to someday construct huge (50 kiloton to megaton) particle detectors in shielded, underground sites. With today's practices, this requires the costly excavation and stabilization of large rooms in mines. In this paper, we propose utilizing the caverns created by the solution mining of salt. The challenge is that such caverns must be filled with pressurized fluid and do not admit human access. We sketch some possible methods of installing familiar detector technologies in a salt cavern under these constraints. Some of the detectors discussed are also suitable for deep-sea experiments, discussed briefly. These sketches appear challenging but feasible, and appear to force few major compromises on detector capabilities. This scheme offers avenues for enormous cost savings on future detector megaprojects.

  14. Underground physics without underground labs: large detectors in solution-mined salt caverns

    E-Print Network [OSTI]

    Monreal, Benjamin

    2014-01-01

    A number of current physics topics, including long-baseline neutrino physics, proton decay searches, and supernova neutrino searches, hope to someday construct huge (50 kiloton to megaton) particle detectors in shielded, underground sites. With today's practices, this requires the costly excavation and stabilization of large rooms in mines. In this paper, we propose utilizing the caverns created by the solution mining of salt. The challenge is that such caverns must be filled with pressurized fluid and do not admit human access. We sketch some possible methods of installing familiar detector technologies in a salt cavern under these constraints. Some of the detectors discussed are also suitable for deep-sea experiments, discussed briefly. These sketches appear challenging but feasible, and appear to force few major compromises on detector capabilities. This scheme offers avenues for enormous cost savings on future detector megaprojects.

  15. ECONOMIC AND FINANCIAL ANALYSIS OF INCREASING COSTS IN THE GULF SHRIMP FLEETI,2

    E-Print Network [OSTI]

    of construction, length ofkeel, and index ofeffort. In 1973, class II vessels were the only vessels ableECONOMIC AND FINANCIAL ANALYSIS OF INCREASING COSTS IN THE GULF SHRIMP FLEETI,2 WADE L. GRi flow for 1974. Increasing input cost another 10% above the 1974 level, and assuming normal production

  16. Cost analysis guidelines

    SciTech Connect (OSTI)

    Strait, R.S.

    1996-01-10

    The first phase of the Depleted Uranium Hexafluoride Management Program (Program)--management strategy selection--consists of several program elements: Technology Assessment, Engineering Analysis, Cost Analysis, and preparation of an Environmental Impact Statement (EIS). Cost Analysis will estimate the life-cycle costs associated with each of the long-term management strategy alternatives for depleted uranium hexafluoride (UF6). The scope of Cost Analysis will include all major expenditures, from the planning and design stages through decontamination and decommissioning. The costs will be estimated at a scoping or preconceptual design level and are intended to assist decision makers in comparing alternatives for further consideration. They will not be absolute costs or bid-document costs. The purpose of the Cost Analysis Guidelines is to establish a consistent approach to analyzing of cost alternatives for managing Department of Energy`s (DOE`s) stocks of depleted uranium hexafluoride (DUF6). The component modules that make up the DUF6 management program differ substantially in operational maintenance, process-options, requirements for R and D, equipment, facilities, regulatory compliance, (O and M), and operations risk. To facilitate a consistent and equitable comparison of costs, the guidelines offer common definitions, assumptions or basis, and limitations integrated with a standard approach to the analysis. Further, the goal is to evaluate total net life-cycle costs and display them in a way that gives DOE the capability to evaluate a variety of overall DUF6 management strategies, including commercial potential. The cost estimates reflect the preconceptual level of the designs. They will be appropriate for distinguishing among management strategies.

  17. WRI 50: Strategies for Cooling Electric Generating Facilities Utilizing Mine Water

    SciTech Connect (OSTI)

    Joseph J. Donovan; Brenden Duffy; Bruce R. Leavitt; James Stiles; Tamara Vandivort; Paul Ziemkiewicz

    2004-11-01

    Power generation and water consumption are inextricably linked. Because of this relationship DOE/NETL has funded a competitive research and development initiative to address this relationship. This report is part of that initiative and is in response to DOE/NETL solicitation DE-PS26-03NT41719-0. Thermal electric power generation requires large volumes of water to cool spent steam at the end of the turbine cycle. The required volumes are such that new plant siting is increasingly dependent on the availability of cooling circuit water. Even in the eastern U.S., large rivers such as the Monongahela may no longer be able to support additional, large power stations due to subscription of flow to existing plants, industrial, municipal and navigational requirements. Earlier studies conducted by West Virginia University (WV 132, WV 173 phase I, WV 173 Phase II, WV 173 Phase III, and WV 173 Phase IV in review) have identified that a large potential water resource resides in flooded, abandoned coal mines in the Pittsburgh Coal Basin, and likely elsewhere in the region and nation. This study evaluates the technical and economic potential of the Pittsburgh Coal Basin water source to supply new power plants with cooling water. Two approaches for supplying new power plants were evaluated. Type A employs mine water in conventional, evaporative cooling towers. Type B utilizes earth-coupled cooling with flooded underground mines as the principal heat sink for the power plant reject heat load. Existing mine discharges in the Pittsburgh Coal Basin were evaluated for flow and water quality. Based on this analysis, eight sites were identified where mine water could supply cooling water to a power plant. Three of these sites were employed for pre-engineering design and cost analysis of a Type A water supply system, including mine water collection, treatment, and delivery. This method was also applied to a ''base case'' river-source power plant, for comparison. Mine-water system cost estimates were then compared to the base-case river source estimate. We found that the use of net-alkaline mine water would under current economic conditions be competitive with a river-source in a comparable-size water cooling system. On the other hand, utilization of net acidic water would be higher in operating cost than the river system by 12 percent. This does not account for any environmental benefits that would accrue due to the treatment of acid mine drainage, in many locations an existing public liability. We also found it likely that widespread adoption of mine-water utilization for power plant cooling will require resolution of potential liability and mine-water ownership issues. In summary, Type A mine-water utilization for power plant cooling is considered a strong option for meeting water needs of new plant in selected areas. Analysis of the thermal and water handling requirements for a 600 megawatt power plant indicated that Type B earth coupled cooling would not be feasible for a power plant of this size. It was determined that Type B cooling would be possible, under the right conditions, for power plants of 200 megawatts or less. Based on this finding the feasibility of a 200 megawatt facility was evaluated. A series of mines were identified where a Type B earth-coupled 200 megawatt power plant cooling system might be feasible. Two water handling scenarios were designed to distribute heated power-plant water throughout the mines. Costs were developed for two different pumping scenarios employing a once-through power-plant cooling circuit. Thermal and groundwater flow simulation models were used to simulate the effect of hot water injection into the mine under both pumping strategies and to calculate the return-water temperature over the design life of a plant. Based on these models, staged increases in required mine-water pumping rates are projected to be part of the design, due to gradual heating and loss of heat-sink efficiency of the rock sequence above the mines. Utilizing pumping strategy No.1 (two mines) capital costs were 25 percent lower a

  18. Statistically significant relational data mining :

    SciTech Connect (OSTI)

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  19. PHEV Battery Cost Assessment

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

    Program Modeling Advanced Li-ion Couples 13 Courtesy of Junbing Yang & K. Amine Graphite with LNMO and LMRNMC similar in cost and energy density LMRNMC shows synergy...

  20. Hydrogen and Infrastructure Costs

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

    FUEL CELL TECHNOLOGIES PROGRAM Hydrogen and Infrastructure Costs Hydrogen Infrastructure Market Readiness Workshop Washington D.C. February 17, 2011 Fred Joseck U.S. Department of...

  1. SOFT COST GRAND CHALLENGE

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

    energycenter.org California Center for Sustainable Energy Soft Cost Grand Challenge May 22, 2014 Accelerating the transition to a sustainable world powered by clean energy 2...

  2. Apportioning Climate Change Costs

    E-Print Network [OSTI]

    Farber, Daniel A.

    2008-01-01

    Apportioning Climate Change Costs Daniel A. Farber* I. II.ON CLIMATE CHANGE FOUR QUESTIONS ABOUTof how to respond to climate change. Most public attention

  3. Graphene induced bifurcation of energy levels at low input power

    E-Print Network [OSTI]

    Li, Rujiang; Lin, Shisheng; Liu, Xu; Chen, Hongsheng

    2015-01-01

    We study analytically the energy states in the waveguide system of graphene coated dielectric nanowire based on the explicit form of nonlinear surface conductivity of graphene. The energy levels of different plasmonic modes can be tuned by the input power at the order of a few tenths of mW. The self-focusing behavior and self-defocusing behavior are exhibited in the lower and upper bifurcation branches, respectively, which are separated by a saturation of input power. Moreover, due to the nonlinearity of graphene, the dispersion relations for different input powers evolve to an energy band which is in sharp contrast with the discrete energy level in the limit of zero power input.

  4. Comparison of wind stress algorithms, datasets and oceanic power input

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01

    If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

  5. Face Interface : a methodology for experimental learning of input modalities

    E-Print Network [OSTI]

    Wetzel, Jon William

    2007-01-01

    This thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based ...

  6. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A...

  7. Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat

    E-Print Network [OSTI]

    Boyer, Edmond

    . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role

  8. Directive Language Input to Children Born Preterm and Full Term

    E-Print Network [OSTI]

    Imgrund, Caitlin McCormick

    2013-12-31

    Directive Language Input to Children Born Preterm and Full Term By Caitlin McCormick Imgrund Submitted to the graduate degree program in Speech-Language-Hearing: Sciences and Disorders and the Graduate Faculty of the University of Kansas...D ________________________________ Nancy Brady, PhD Date Defended: September 4, 2013 ii The Thesis Committee for Caitlin McCormick Imgrund certifies that this is the approved version of the following thesis: Directive Language Input to Children Born Preterm...

  9. Charged-Particle Thermonuclear Reaction Rates: III. Nuclear Physics Input

    E-Print Network [OSTI]

    Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

    2010-04-23

    The nuclear physics input used to compute the Monte Carlo reaction rates and probability density functions that are tabulated in the second paper of this series (Paper II) is presented. Specifically, we publish the input files to the Monte Carlo reaction rate code RatesMC, which is based on the formalism presented in the first paper of this series (Paper I). This data base contains overwhelmingly experimental nuclear physics information. The survey of literature for this review was concluded in November 2009.

  10. Computerized management report system for monitoring manpower and cost

    SciTech Connect (OSTI)

    Bullington, V.R.; Stephenson, R.L.; Cardwell, R.G.

    1980-04-01

    Although most cost systems offer complete detail and traceability, not all provide timely detail in a concise form useful to senior management. This system was developed for a multifunction research organization funded from many sources. It extracts cost and manpower data from the general cost systems, summarizes it, compares it by program with previous cost periods, and presents it with minimum detail yet with maximum overview. The system monitors the basic manpower distribution of effort at the source, that is, the division time-card input. Cost data are taken from the central computer ahead of the print-out and report-distribution steps; thus, the summary information is available several days ahead of the detailed reports. This procedure has been regularly used for several months, and has proven to be a valuable tool in management action and planning. 9 figures.

  11. A Cost-Benefit Analysis of Indexing Big Data with Map-Reduce

    E-Print Network [OSTI]

    Arampatzis, Avi

    A Cost-Benefit Analysis of Indexing Big Data with Map-Reduce Dimitrios Siafarikas Argyrios@ee.duth.gr Abstract--We reflect upon the challenge a Big Data analyst faces when dealing with the complex problem the system we developed works. Keywords: Information Retrieval, Big Data, Data Mining, Cluster, Inverted

  12. 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)

    1980-08-12

    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.

  13. Transmission line capital costs

    SciTech Connect (OSTI)

    Hughes, K.R.; Brown, D.R.

    1995-05-01

    The displacement or deferral of conventional AC transmission line installation is a key benefit associated with several technologies being developed with the support of the U.S. Department of Energy`s Office of Energy Management (OEM). Previous benefits assessments conducted within OEM have been based on significantly different assumptions for the average cost per mile of AC transmission line. In response to this uncertainty, an investigation of transmission line capital cost data was initiated. The objective of this study was to develop a database for preparing preliminary estimates of transmission line costs. An extensive search of potential data sources identified databases maintained by the Bonneville Power Administration (BPA) and the Western Area Power Administration (WAPA) as superior sources of transmission line cost data. The BPA and WAPA data were adjusted to a common basis and combined together. The composite database covers voltage levels from 13.8 to 765 W, with cost estimates for a given voltage level varying depending on conductor size, tower material type, tower frame type, and number of circuits. Reported transmission line costs vary significantly, even for a given voltage level. This can usually be explained by variation in the design factors noted above and variation in environmental and land (right-of-way) costs, which are extremely site-specific. Cost estimates prepared from the composite database were compared to cost data collected by the Federal Energy Regulatory Commission (FERC) for investor-owned utilities from across the United States. The comparison was hampered because the only design specifications included with the FERC data were voltage level and line length. Working within this limitation, the FERC data were not found to differ significantly from the composite database. Therefore, the composite database was judged to be a reasonable proxy for estimating national average costs.

  14. Activity Identification Utilizing Data Mining Techniques Jae Young Lee

    E-Print Network [OSTI]

    Hoff, William A.

    Activity Identification Utilizing Data Mining Techniques Jae Young Lee Dept. of Math. and Computer belong to. The proposed method utilizes various data mining techniques, including clustering Sciences Colorado School of Mines Golden, Colorado, USA jaelee@mines.edu William Hoff Engineering Division

  15. Data Privacy and Data Security Introduction to Data Mining

    E-Print Network [OSTI]

    Zhang, Jun

    Data Privacy and Data Security Chapter 1 Introduction to Data Mining Jun Zhang January 13, 2011 © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 #12;Why Mine Data? Commercial Viewpoint ) © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 2 Customer Relationship Management) #12;Why

  16. PERFORMANCE EVALUATION AND CHARACTERIZATION OF SCALABLE DATA MINING ALGORITHMS

    E-Print Network [OSTI]

    PERFORMANCE EVALUATION AND CHARACTERIZATION OF SCALABLE DATA MINING ALGORITHMS Ying Liu, choudhar}@ece.northwestern.edu ABSTRACT Data mining has become one of the most essential tools in diverse perspectives for a set of representative data mining programs. We first design MineBench, a benchmarking suite

  17. 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

  18. 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 and highlights the fundamental di erences between statistical and computational views of data mining. In do- ing

  19. 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

  20. 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

  1. 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

  2. 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 and highlights the fundamental differences between statistical and computational views of data mining. In do­ ing

  3. 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

  4. 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

  5. Twitter Food Photo Mining and Analysis for One

    E-Print Network [OSTI]

    Yanai, Keiji

    Twitter Food Photo Mining and Analysis for One Hundred Kinds of Foods Pacific-Rim Conf-Communications, Tokyo, Japan #12;Twitter Realtime Food Photo Mining System (mm.cs.uec.ac.jp/tw/) ·What kinds of foods analysis #12;Twitter Food Photo Mining ·Twitter Photos represent the current state of the world ! ·Mining

  6. SIMULATING TRANSPORT AND GEOCHEMICAL EVOLUTION OF ACID MINE DRAINAGE THROUGH

    E-Print Network [OSTI]

    Aubertin, Michel

    SIMULATING TRANSPORT AND GEOCHEMICAL EVOLUTION OF ACID MINE DRAINAGE THROUGH DISCRETELY FRACTURED Waste Management ABSTRACT A modelling study is performed to assess the evolution of acid mine drainage-geochemical and geo-mechanical models for predicting environmental impacts of acid mine drainage in complex mining

  7. Non-Derivable Itemset Mining Toon Calders and Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    .calders,bart.goethals}@ua.ac.be University of Antwerp, Belgium Abstract All frequent itemset mining algorithms rely heavily on the monotonicNon-Derivable Itemset Mining Toon Calders and Bart Goethals {toon-derivable itemsets a useful and tractable alternative to mining all frequent itemsets. Keywords: Data mining

  8. Rehabilitation of the international coal mines

    E-Print Network [OSTI]

    Cote?, Homer.

    by the motor, while the other carries the cutting tool and is acted upon by the compressed air. The blow is powerful, effective, and capable of dislodging more coal with less power consumption than any other machine of the puncher type, and in addition... or alter­ nating current power. Each machine is f urnished with a cable, reel, tools, picks, running board, truck and sho e - The conditions of mining encountered in the mines of the International Coal Mines Company require the use of two types...

  9. Method of locating underground mines fires

    DOE Patents [OSTI]

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

    1992-01-01

    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.

  10. Hydrogen refueling station costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, Joan M; Jianxin, Ma

    2007-01-01

    station and equipment costs Capital equipment costs Non-a function of capital cost and is therefore represented intechnology and therefore capital cost and maintenance cost

  11. Cost Transfer Procedures How And When To Make Cost Transfers

    E-Print Network [OSTI]

    Hammack, Richard

    Cost Transfer Procedures How And When To Make Cost Transfers Effective February 9, 2003, cost elsewhere. Federal regulations require additional documentation to support cost transfers to sponsored program indexes. Costs may not be shifted to other research projects or from one budget period to the next

  12. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S. (Chicago, IL)

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  13. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

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

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficientmore »(LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling the plume size. The three most sensitive inputs for injectivity were the horizontal permeability of Mt Simon 11 (the injection layer), the initial fracture-pressure gradient, and the residual aqueous saturation of Mt Simon 11, while those for the plume area were the initial salt concentration, the initial pressure, and the initial fracture-pressure gradient. The advantages of requiring only a single set of simulation results, scalability to the proper parameter errors, and easy calculation of the composite sensitivities make this approach very cost-effective for estimating AoR uncertainty and guiding cost-effective site characterization, injection well design, and monitoring network design for CO2 storage projects.« less

  14. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

    SciTech Connect (OSTI)

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficient (LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling the plume size. The three most sensitive inputs for injectivity were the horizontal permeability of Mt Simon 11 (the injection layer), the initial fracture-pressure gradient, and the residual aqueous saturation of Mt Simon 11, while those for the plume area were the initial salt concentration, the initial pressure, and the initial fracture-pressure gradient. The advantages of requiring only a single set of simulation results, scalability to the proper parameter errors, and easy calculation of the composite sensitivities make this approach very cost-effective for estimating AoR uncertainty and guiding cost-effective site characterization, injection well design, and monitoring network design for CO2 storage projects.

  15. Rock mechanics design in mining and tunneling

    SciTech Connect (OSTI)

    Bieniawski, Z.T.

    1984-01-01

    This book introduces the design process as applied to rock mechanics aspects of underground mining and tunneling. Topics covered include a historical perspective, the design process in engineering, empirical methods of design, observational methods of design, and guided design.

  16. Mining from large image sets (Keynote address)

    E-Print Network [OSTI]

    Grabner, Helmut

    ­ Switzerland Michael D. Breitenstein Computer Vision Laboratory ETH Zurich ­ Switzerland Stephan Gammeter Computer Vision Laboratory ETH Zurich ­ Switzerland Helmut Grabner Computer Vision Laboratory ETH Zurich ­ Switzerland Till Quack Computer Vision Laboratory ETH Zurich ­ Switzerland ABSTRACT So far, most image mining

  17. One Day Seminar Data Mining in Practice

    E-Print Network [OSTI]

    Morik, Katharina

    in 1999 the application rate will raise to n 4 projects in 2009. ... is most often oriented towards ­ Spatial Data Mining ­ Churn of customers in telecommunication ­ ??? ­ Prediction of customers' demands

  18. Cost Estimating Guide

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

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  19. Vehicle Cost Calculator

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    fuel cost and emissions with a conventional vehicle. Select FuelTechnology Electric Hybrid Electric Plug-in Hybrid Electric Natural Gas (CNG) Flex Fuel (E85) Biodiesel (B20)...

  20. Estimating Renewable Energy Costs

    Broader source: Energy.gov [DOE]

    Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically...

  1. cost.f

    E-Print Network [OSTI]

    SUBROUTINE COST (N,X,WSAVE) IMPLICIT DOUBLE PRECISION (A-H, O-Z) DIMENSION X(1) ,WSAVE(1) NM1 = N-1 NP1 = N+1 NS2 = N/2 IF (N-2) ...

  2. Transparent Cost Database | Transparent Cost Database

    Open Energy Info (EERE)

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

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

    E-Print Network [OSTI]

    Hakkoymaz, Huseyin

    2010-01-01

    Knowledge discovery and data mining, San Jose, California,on Knowledge discovery and data mining, Edmonton, Alberta,Knowledge discovery and data mining, Seattle, WA, USA: ACM,

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

    E-Print Network [OSTI]

    YANG, HO-SHUN

    2012-01-01

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

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

    E-Print Network [OSTI]

    Tataw, Oben Moses

    2013-01-01

    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.

  6. Community Genomic, Proteomic, and Transcriptomic Analyses of Acid Mine Drainage Biofilm Communities

    E-Print Network [OSTI]

    Goltsman, Daniela

    2013-01-01

    T, Banfield J. 2004. Acid mine drainage biogeochemistry atof eukaryotes in acid mine drainage biofilm communities.III) bacteria in acid mine drainage biofilms. Appl Environ

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

    E-Print Network [OSTI]

    Romano, Gina Yolanda

    2012-01-01

    K.B. , 2005, Acid mine drainage remediation options: aDeul, M. , 1982, Acid Mine Drainage: Control and Abatementcould result in acid mine drainage (Belzile, 2004; Janzen,

  8. Numerical solution of transient eddy current problems with input current intensities as boundary data

    E-Print Network [OSTI]

    Rodríguez, Rodolfo

    Numerical solution of transient eddy current problems with input current intensities as boundary to solve transient eddy current problems with input current intensities as data, formulated in terms: Eddy current problems, time-dependent electromagnetic problems, input current intensities, finite

  9. An algorithm for amplitude-constrained input design for system identification

    E-Print Network [OSTI]

    Manchester, Ian R.

    We propose an algorithm for design of optimal inputs for system identification when amplitude constraints on the input and output are imposed. In contrast to input design with signal power constraints, this problem is ...

  10. Cost Model for Digital Curation: Cost of Digital Migration

    E-Print Network [OSTI]

    Kejser, Ulla Bøgvad; Nielsen, Anders Bo; Thirifays, Alex

    2009-01-01

    Curation: Cost of Digital Migration Ulla Bøgvad Kejser, Thefocus especially on costing digital migration activities. Inof the OAIS Model digital migration includes both transfer (

  11. Cost Model for Digital Curation: Cost of Digital Migration

    E-Print Network [OSTI]

    Kejser, Ulla Bøgvad; Nielsen, Anders Bo; Thirifays, Alex

    2009-01-01

    and Monitor Technology functions each consists of two costinfluence, the fewer costs. Monitor Technology depends onCost Critical Activities Monitor community Report on monitoring Monitor technology

  12. Optimal control of a large dam, taking into account the water costs [New Edition

    E-Print Network [OSTI]

    Abramov, Vyacheslav M

    2009-01-01

    This paper studies large dam models where the difference between lower and upper levels $L$ is assumed to be large. Passage across the levels leads to damage, and the damage costs of crossing the lower or upper level are proportional to the large parameter $L$. Input stream of water is described by compound Poisson process, and the water cost depends upon current level of water in the dam. The aim of the paper is to choose the parameters of output stream (specifically defined in the paper) minimizing the long-run expenses. The particular problem, where input stream is Poisson and water costs are not taken into account has been studied in [Abramov, \\emph{J. Appl. Prob.}, 44 (2007), 249-258]. The present paper partially answers the question \\textit{How does the structure of water costs affect the optimal solution?} In particular the case of linear costs is studied.

  13. Radiation belt electrons respond to multiple solar wind inputs

    E-Print Network [OSTI]

    Radiation belt electrons respond to multiple solar wind inputs E. J. Rigler,1 M. Wiltberger,1 and D is clearly valuable from a practical standpoint, but the latter helps build confidence in any physical on the fractional or percent variance of radiation belt electron flux that can be attributed to each different solar

  14. SUSTAINABILITY, RESOURCE SUBSTITUTION IN ENERGY INPUTS AND LEARNING

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SUSTAINABILITY, RESOURCE SUBSTITUTION IN ENERGY INPUTS AND LEARNING Pierre-André JOUVET Ingmar resources (in the sense of non-depletable energy which also includes hydro power, wind energy, solar energy non- renewable fossil fuels and renewable energy resources. As said Andr´e and Cerda (2006), the main

  15. Input to review of STFC UK Nuclear Physics Community

    E-Print Network [OSTI]

    Crowther, Paul

    Input to review of STFC UK Nuclear Physics Community Introduction STFC covers essentially and project funding for Astronomy, Nuclear Physics, Particle Physics and Space Science Since STFC was formed programme. Grant funding Nuclear Physics grant funding was in EPSRC until 2007 and then moved to STFC

  16. Series Input Modular Architecture for Driving Multiple LEDs

    E-Print Network [OSTI]

    regulation is provided using a prototype of the proposed system with four series buck- boost converter cells, zane}@colorado.edu Abstract ­ This paper introduces a modular power converter architecture based on series input connected converter cells with independent outputs that each drive a small series string

  17. Coupled Dual Interleaved Flyback Converter for High Input Voltage Application

    E-Print Network [OSTI]

    Lehman, Brad

    proposed integrated boost converters [7] that are beginning to see applications in automotive power buck-boost (Flyback) power converter [9,10] that utilizes one magnetic core to integrate two FlybackCoupled Dual Interleaved Flyback Converter for High Input Voltage Application Ting Qian, Brad

  18. FULL FUEL CYCLE ASSESSMENT WELL TO WHEELS ENERGY INPUTS,

    E-Print Network [OSTI]

    FULL FUEL CYCLE ASSESSMENT WELL TO WHEELS ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Preparation on a full fuel cycle basis for alternative-fueled vehicles is important when assessing the overall production are a significant portion of the total GHG emissions attributable to the full fuel cycle. Also

  19. FULL FUEL CYCLE ASSESSMENT: WELL-TO-WHEELS ENERGY INPUTS,

    E-Print Network [OSTI]

    FULL FUEL CYCLE ASSESSMENT: WELL-TO-WHEELS ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS STATE PLAN Waterland Stefan Unnasch FULL FUEL CYCLE ANALYSIS PEER REVIEWERS Argonne National Laboratory Michael Wang organizations were given an opportunity to review and comment on the AB 1007 full fuel cycle analysis. Comments

  20. Design of Controllers for a Multiple Input Multiple Output System 

    E-Print Network [OSTI]

    Harris, Amanda Lynne

    2012-07-16

    A method of controller design for multiple input multiple output (MIMO) system is needed that will not give the high order controllers of modern control theory but will be more systematic than the “ad hoc” method. The objective of this method...

  1. Input Data Reduction for the Prediction of Financial Time Series

    E-Print Network [OSTI]

    Verleysen, Michel

    on data from the BEL20 market index. 1. Introduction Since the beginning of this century, the question of the predictability of financial series (at least of stock market prices) has been the subject of a highly. To perform the transformation between the initial inputs and the new variables, we may choose to use a linear

  2. Input Observer: Measuring Text Entry and Pointing Performance from

    E-Print Network [OSTI]

    Wobbrock, Jacob O.

    Input Observer: Measuring Text Entry and Pointing Performance from Naturalistic Everyday Computer that will be capable of measuring a user's text entry and pointing abilities from everyday computer use "in the wild for both text entry and mouse pointing. Keywords Text entry, mouse pointing, field studies, naturalistic

  3. CO2 enrichment increases carbon and nitrogen input from

    E-Print Network [OSTI]

    CO2 enrichment increases carbon and nitrogen input from fine roots in a deciduous forest Colleen2 Ecological Society of America, 2008 #12;#12;#12;#12;#12;+ [CO2] #12;+ Net primary production + [CO2] #12;+ Net primary production + [CO2] + C and N storage in biomass #12;+ Net primary production

  4. Multiple Input Converters for Fuel Cells Burak Ozpineci1

    E-Print Network [OSTI]

    Tolbert, Leon M.

    Multiple Input Converters for Fuel Cells Burak Ozpineci1 burak@ieee.org Leon M. Tolbert1,2 tolbert-2100 Abstract-- Multilevel converters have been used previously to integrate several fuel cell modules for higher power applications. Some previous publications have also shown improvements in fuel cell

  5. QGESS: Capital Cost Scaling Methodology

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

    the tonnes of CO2 utilized. The costs of the process are to include infrastructure, raw materials, processing, byproduct disposal, and utilities costs, as well as any other costs....

  6. Cost-effective ecological restoration

    E-Print Network [OSTI]

    2015-01-01

    whether the cost-effectiveness index in the all seed mixesRestoration cost-effectiveness (index calculated as percentwith the highest cost-effectiveness index values were drill

  7. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

    Kim, Karen; McGrath, Richard [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)] [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)

    2013-07-01

    The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

  8. Entanglement cost of implementing controlled-unitary operations

    E-Print Network [OSTI]

    Akihito Soeda; Peter S. Turner; Mio Murao

    2011-10-27

    We investigate the minimum entanglement cost of the deterministic implementation of two-qubit controlled-unitary operations using local operations and classical communication (LOCC). We show that any such operation can be implemented by a three-turn LOCC protocol, which requires at least 1 ebit of entanglement when the resource is given by a bipartite entangled state with Schmidt number 2. Our result implies that there is a gap between the minimum entanglement cost and the entangling power of controlled-unitary operations. This gap arises due to the requirement of implementing the operations while oblivious to the identity of the inputs.

  9. ESF Mine Power Center Platforms

    SciTech Connect (OSTI)

    T.A. Misiak

    2000-02-10

    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.

  10. Denys Poshyvanyk CSci 780: Mining Software Repositories CSci 780: Mining Software Repositories

    E-Print Network [OSTI]

    Poshyvanyk, Denys

    Denys Poshyvanyk CSci 780: Mining Software Repositories 1 CSci 780: Mining:50pm Location: McGlothlin-Street Hall 002 Instructor: Denys Poshyvanyk Office Hours: MW, 11:30am-1pm Office: McGlothlin-Street Hall, 006 Email: denys [at-sign] cs

  11. Enriching Sustainable Transport Decisions: Inputs from Operations Research and the Management Sciences

    E-Print Network [OSTI]

    Wellar, Barry; Garrison, William

    2009-01-01

    techniques, research operations, inquiring instruments,Inputs from Operations Research and the Management SciencesInputs from Operations Research and the Management Sciences

  12. POPCYCLE: a computer code for calculating nuclear and fossil plant levelized life-cycle power costs

    SciTech Connect (OSTI)

    Hardie, R.W.

    1982-02-01

    POPCYCLE, a computer code designed to calculate levelized life-cycle power costs for nuclear and fossil electrical generating plants is described. Included are (1) derivations of the equations and a discussion of the methodology used by POPCYCLE, (2) a description of the input required by the code, (3) a listing of the input for a sample case, and (4) the output for a sample case.

  13. Optimization Online - Sharing Supermodular Costs

    E-Print Network [OSTI]

    Andreas S. Schulz

    2007-08-28

    Aug 28, 2007 ... Abstract: We study cooperative games with supermodular costs. We show that supermodular costs arise in a variety of situations: in particular, ...

  14. Preemptive scheduling with position costs

    E-Print Network [OSTI]

    In most scheduling models presented in the literature [3, 10], the cost for ... Preemptive scheduling in order to minimize the total position costs also stems.

  15. OPTIONS - ALLOCATION FUNDS - TRANSACTION COSTS

    E-Print Network [OSTI]

    Admin

    2009-03-25

    One first problem to overcome is the impact of transaction costs. ... They entail a reduction of transaction costs and improve the investor's economic welfare.

  16. Low Cost, Durable Seal

    SciTech Connect (OSTI)

    Roberts, George; Parsons, Jason; Friedman, Jake

    2010-12-17

    Seal durability is critical to achieving the 2010 DOE operational life goals for both stationary and transportation PEM fuel cell stacks. The seal material must be chemically and mechanically stable in an environment consisting of aggressive operating temperatures, humidified gases, and acidic membranes. The seal must also be producible at low cost. Currentlyused seal materials do not meet all these requirements. This project developed and demonstrated a high consistency hydrocarbon rubber seal material that was able to meet the DOE technical and cost targets. Significant emphasis was placed on characterization of the material and full scale molding demonstrations.

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

    E-Print Network [OSTI]

    Zeng, Hui

    2012-01-01

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

  18. Policy on Cost Sharing Policy on Cost Sharing

    E-Print Network [OSTI]

    Sridhar, Srinivas

    Policy on Cost Sharing 12/26/2014 Policy on Cost Sharing I. Purpose and Scope Northeastern University does not encourage cost sharing commitments in sponsored research, and generally will not commit for approval for cost sharing arrangements, and explains the requirements for how any such arrangements

  19. Policy on Cost Transfer Policy on Cost Transfer

    E-Print Network [OSTI]

    Sridhar, Srinivas

    Policy on Cost Transfer 12/22/2014 Policy on Cost Transfer I. Purpose and Scope The University has posting of a cost to the general ledger, initiated by payroll charges, purchase orders or check requests (and the purchasing card). Cost Transfer means any subsequent transfer of the original charge

  20. Cost Sharing -1 -Approved: 01/07/2013 Cost Sharing

    E-Print Network [OSTI]

    Hammack, Richard

    Cost Sharing - 1 - Approved: 01/07/2013 Cost Sharing Policy Type: Administrative Responsible Office and Purpose The purpose of this policy is to define VCU's cost-sharing policy for sponsored programs. The university will make a cost-sharing commitment only when required by the sponsor or by the competitive nature

  1. Carbon Sequestration on Surface Mine Lands

    SciTech Connect (OSTI)

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

    2006-03-31

    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.

  2. Final covering of the Ronneburg uranium mining site

    SciTech Connect (OSTI)

    Hoepfner, Uwe [LAGB Halle (Germany)

    2007-07-01

    The rehabilitation of WISMUT's former Ronneburg uranium mining site involves backfilling of waste rock to the Lichtenberg open pit. The relocation project comprises about 110 million m{sup 3} of sulphide-bearing and AMD-generating waste rock which makes it the most important and most cost-intensive single surface restoration project conducted by WISMUT at the Ronneburg site. The backfilled waste rock has to be covered on an area of about 220 ha to control water infiltration and gas diffusion. Design planning for the final cover placement which began in 2004 had to be based on a comprehensive cost-benefit analysis as well on field tests of alternative cover options which are in compliance with legal requirements. An intensive testing program concerning the vadose zone of soil covers has therefore been started in 2000. The paper presents an overview of the monitoring program and the results of the vadose zone measurements. The water of soil covers have to be predicted for extended evaluation periods. Therefore water balance simulations of single layer covers (storage and evaporation concept) taking current and future soil and climate conditions into account are performed with the HYDRUS 2D code. (author)

  3. FACILITIES AND ADMINISTRATIVE (F&A) COST AND IDC RATES The cost of conducting research consists of two broad types of costs direct costs and facilities and

    E-Print Network [OSTI]

    Keinan, Alon

    FACILITIES AND ADMINISTRATIVE (F&A) COST AND IDC RATES The cost of conducting research consists of two broad types of costs ­ direct costs and facilities and administrative costs (F&A), also known as indirect costs. Direct

  4. Methane drainage with horizontal boreholes in advance of longwall mining: an analysis. Final report

    SciTech Connect (OSTI)

    Gabello, D.P.; Felts, L.L.; Hayoz, F.P.

    1981-05-01

    The US Department of Energy (DOE) Morgantown Energy Technology Center has implemented a comprehensive program to demonstrate the technical and economic viability of coalbed methane as an energy resource. The program is directed toward solution of technical and institutional problems impeding the recovery and use of large quantities of methane contained in the nation's minable and unminable coalbeds. Conducted in direct support of the DOE Methane Recovery from Coalbeds Project, this study analyzes the economic aspects of a horizontal borehole methane recovery system integrated as part of a longwall mine operation. It establishes relationships between methane selling price and annual mine production, methane production rate, and the methane drainage system capital investment. Results are encouraging, indicating that an annual coal production increase of approximately eight percent would offset all associated drainage costs over the range of methane production rates and capital investments considered.

  5. Jared C. Carbone April 2015 Colorado School of Mines Phone: 303-384-2175

    E-Print Network [OSTI]

    and Economics Email: jcarbone@mines.edu Engineering Hall Web: http://www.mines.edu/~jcarbone 816 15th Street

  6. Heliostat cost reduction study.

    SciTech Connect (OSTI)

    Jones, Scott A.; Lumia, Ronald. (University of New Mexico, Albuquerque, NM); Davenport, Roger (Science Applications International Corporation, San Diego, CA); Thomas, Robert C. (Advanced Thermal Systems, Centennial, CO); Gorman, David (Advanced Thermal Systems, Larkspur, CO); Kolb, Gregory J.; Donnelly, Matthew W.

    2007-06-01

    Power towers are capable of producing solar-generated electricity and hydrogen on a large scale. Heliostats are the most important cost element of a solar power tower plant. Since they constitute {approx} 50% of the capital cost of the plant it is important to reduce heliostat cost as much as possible to improve the economic performance of power towers. In this study we evaluate current heliostat technology and estimate a price of $126/m{sup 2} given year-2006 materials and labor costs for a deployment of {approx}600 MW of power towers per year. This 2006 price yields electricity at $0.067/kWh and hydrogen at $3.20/kg. We propose research and development that should ultimately lead to a price as low as $90/m{sup 2}, which equates to $0.056/kWh and $2.75/kg H{sup 2}. Approximately 30 heliostat and manufacturing experts from the United States, Europe, and Australia contributed to the content of this report during two separate workshops conducted at the National Solar Thermal Test Facility.

  7. Clauser-Horne Bell test with imperfect random inputs

    E-Print Network [OSTI]

    Xiao Yuan; Qi Zhao; Xiongfeng Ma

    2015-05-16

    Bell test is one of the most important tools in quantum information science. On the one hand, it enables fundamental test for the physics laws of nature, and on the other hand, it can be also applied in varieties of device independent tasks such as quantum key distribution and random number generation. In practice, loopholes existing in experimental demonstrations of Bell tests may affect the validity of the conclusions. In this work, we focus on the randomness (freewill) loophole and investigate the randomness requirement in a well-known Bell test, the Clauser-Horne test, under various conditions. With partially random inputs, we explicitly bound the Bell value for all local hidden variable models by optimizing the classical strategy. Our result thus puts input randomness requirement on the Clauser-Horne test under varieties of practical scenarios. The employed analysis technique can be generalized to other Bell's inequalities.

  8. Agricultural and Environmental Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rasmuson; K. Rautenstrauch

    2004-09-14

    This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

  9. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  10. Transaction Costs, Information Technology and Development

    E-Print Network [OSTI]

    Singh, Nirvikar

    2004-01-01

    Transaction Costs, Information Technology and Development 1.Transaction Costs, Information Technology and DevelopmentTransaction Costs, Information Technology and Development *

  11. Transaction Costs, Information Technology and Development

    E-Print Network [OSTI]

    Singh, Nirvikar

    2004-01-01

    Transaction Costs, Information Technology and Development 1.Transaction Costs, Information Technology and DevelopmentTransaction Costs, Information Technology and Development

  12. MEMO OF UNDERSTANDING Service Cost

    E-Print Network [OSTI]

    Jacobs, Lucia

    MEMO OF UNDERSTANDING Service Cost July 2013 1/4 Thera Kalmijn Chief Operating Officer 1608 Fourth] [Division Name] Re: CSS Service Cost for Fiscal Year 2013 - 2015 Please find the service cost for [Division [Division Name] implements into CSS. The service cost for [Division Name] will remain fixed throughout

  13. Robust Cost Colorings Takuro Fukunaga

    E-Print Network [OSTI]

    Halldórsson, Magnús M.

    Robust Cost Colorings Takuro Fukunaga Magn´us M. Halld´orsson Hiroshi Nagamochi Abstract We consider graph coloring problems where the cost of a coloring is the sum of the costs of the colors, and the cost of a color is a monotone concave function of the total weight of the class. This models resource

  14. The Costs and Revenues of

    E-Print Network [OSTI]

    The Costs and Revenues of Transformation to Continuous Cover Forestry Owen Davies & Gary Kerr March 2011 #12;2 | Costs and Revenues of CCF | Owen Davies & Gary Kerr | March 2011 Costs and Revenues of CCF The costs and revenues of transformation to continuous cover forestry: Modelling silvicultural options

  15. Allocable costs What are they?

    E-Print Network [OSTI]

    Massachusetts at Lowell, University of

    Allocable costs What are they? The A-21 circular definition: a. A cost is allocable to a particular cost objective (i.e., a specific function, project, sponsored agreement, department, or the like) if the goods or services involved are chargeable or assignable to such cost objective in accordance

  16. Weather Forecast Data an Important Input into Building Management Systems 

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01

    Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important Input into Building..., Martin Fradette Environment Canada RPN ? Recherche en Pr?vision num?rique Dr. Wei Yu, Dr. Paul Vaillancourt, Dr. Sylvie Leroyer Natural Resources Canada ? Canmet Energy Dr. Jos? A. Candanedo Overview ? Building management and weather information...

  17. Thorough analysis of input physics in CESAM and CLES codes

    E-Print Network [OSTI]

    Josefina Montalban; Yveline Lebreton; Andrea Miglio; Richard Scuflaire; Pierre Morel; Arlette Noels

    2008-04-14

    This contribution is not about the quality of the agreement between stellar models computed by CESAM and CLES codes, but more interesting, on what ESTA-Task~1 run has taught us about these codes and about the input physics they use. We also quantify the effects of different implementations of the same physics on the seismic properties of the stellar models, that in fact is the main aim of ESTA experiments.

  18. DOE Seeks Industry Input on Nickel Disposition Strategy | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 2015 GATEWAY Takes on Another1990,Energy Industry Input

  19. Optimal Control of Coal Segregation using On-line Analyzers R. Ganguli, J. C. Yingling, J. Sottile, Dept. of Mining Eng.

    E-Print Network [OSTI]

    Kumar, Ratnesh

    1 Optimal Control of Coal Segregation using On-line Analyzers R. Ganguli, J. C. Yingling, J 40506 ABSTRACT The capability for on-line measurement of the quality characteristics of conveyed coal of coal that must be washed at the mine and thereby reduces processing costs, recovery losses, and refuse

  20. Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance

    E-Print Network [OSTI]

    Last, Mark

    Utilization of Data- Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory chronic diseases, such as asthma, who are continuously using a combination of several medications. This has caused a substantial increase in the cost of providing healthcare for such patients. In Israel, 11

  1. Aprs-mines 2003, 5-7 Fvrier 2003, Nancy 1 UTILISATION DU REMBLAI EN PATE COMME SUPPORT DE TERRAIN. PARTIE I : DE

    E-Print Network [OSTI]

    Aubertin, Michel

    recipe in order to respond to the backfilling design, work safety and mining operations cost criteria design du remblayage avec le calcul de la résistance mécanique critique du remblai en pâte, la recette du liant en vue de l'optimisation de la recette de remblai afin de répondre aux critères de design, de

  2. Marcelo Godoy Simes e-mail: msimoes@mines.edu

    E-Print Network [OSTI]

    Simões, Marcelo Godoy

    1 Marcelo Godoy Simões e-mail: msimoes@mines.edu webpage: http://inside.mines.edu/~msimoes, http://aceps for Advanced Control of Energy and Power Systems ­ ACEPS and is currently spearheading the new Colorado

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

    E-Print Network [OSTI]

    Wong, Pak Kin

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

  4. New Mexico Institute of Mining and Masters Independent Study

    E-Print Network [OSTI]

    Borchers, Brian

    New Mexico Institute of Mining and Technology Masters Independent Study Estimation Methods is the only choice you have." Bob Marley #12;NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY Abstract Jan

  5. 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

  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. WIPP’s Mine Rescue Teams Lead Competition

    Broader source: Energy.gov [DOE]

    CARLSBAD, N.M. – The Waste Isolation Pilot Plant’s (WIPP) two mine rescue teams recently led the field of 13 groups competing in the Southwest Regional Mine Rescue Contest.

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

    E-Print Network [OSTI]

    Munim, Mohammed Abdul

    2003-01-01

    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...

  9. Cost Estimating, Analysis, and Standardization

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

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  10. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.

  11. Graph Mining Meets the Semantic Web

    SciTech Connect (OSTI)

    Lee, Sangkeun (Matt) [ORNL; Sukumar, Sreenivas R [ORNL; Lim, Seung-Hwan [ORNL

    2015-01-01

    The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today, data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. We address that need through implementation of three popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, and PageRank). We implement these algorithms as SPARQL queries, wrapped within Python scripts. We evaluate the performance of our implementation on 6 real world data sets and show graph mining algorithms (that have a linear-algebra formulation) can indeed be unleashed on data represented as RDF graphs using the SPARQL query interface.

  12. INTEGRATED POWER GENERATION SYSTEMS FOR COAL MINE WASTE METHANE UTILIZATION

    SciTech Connect (OSTI)

    Peet M. Soot; Dale R. Jesse; Michael E. Smith

    2005-08-01

    An integrated system to utilize the waste coal mine methane (CMM) at the Federal No. 2 Coal Mine in West Virginia was designed and built. The system includes power generation, using internal combustion engines, along with gas processing equipment to upgrade sub-quality waste methane to pipeline quality standards. The power generation has a nominal capacity of 1,200 kw and the gas processing system can treat about 1 million cubic feet per day (1 MMCFD) of gas. The gas processing is based on the Northwest Fuel Development, Inc. (NW Fuel) proprietary continuous pressure swing adsorption (CPSA) process that can remove nitrogen from CMM streams. The two major components of the integrated system are synergistic. The byproduct gas stream from the gas processing equipment can be used as fuel for the power generating equipment. In return, the power generating equipment provides the nominal power requirements of the gas processing equipment. This Phase III effort followed Phase I, which was comprised of a feasibility study for the project, and Phase II, where the final design for the commercial-scale demonstration was completed. The fact that NW Fuel is desirous of continuing to operate the equipment on a commercial basis provides the validation for having advanced the project through all of these phases. The limitation experienced by the project during Phase III was that the CMM available to operate the CPSA system on a commercial basis was not of sufficiently high quality. NW Fuel's CPSA process is limited in its applicability, requiring a relatively high quality of gas as the feed to the process. The CPSA process was demonstrated during Phase III for a limited time, during which the processing capabilities met the expected results, but the process was never capable of providing pipeline quality gas from the available low quality CMM. The NW Fuel CPSA process is a low-cost ''polishing unit'' capable of removing a few percent nitrogen. It was never intended to process CMM streams containing high levels of nitrogen, as is now the case at the Federal No.2 Mine. Even lacking the CPSA pipeline delivery demonstration, the project was successful in laying the groundwork for future commercial applications of the integrated system. This operation can still provide a guide for other coal mines which need options for utilization of their methane resources. The designed system can be used as a complete template, or individual components of the system can be segregated and utilized separately at other mines. The use of the CMM not only provides an energy fuel from an otherwise wasted resource, but it also yields an environmental benefit by reducing greenhouse gas emissions. The methane has twenty times the greenhouse effect as compared to carbon dioxide, which the combustion of the methane generates. The net greenhouse gas emission mitigation is substantial.

  13. Mine-to-Mill Optimization of Aggregate Production

    SciTech Connect (OSTI)

    Greg Adel; Toni Kojovic; Darren Thornton

    2006-09-30

    Mine-to-Mill optimization is a total systems approach to the reduction of energy and cost in mining and processing. Developed at the Julius Krutschnitt Mineral Research Center in Queensland, Australia, the Mine-to-Mill approach attempts to minimize energy consumption through optimization of all steps in the size reduction process. The approach involves sampling and modeling of blasting and processing, followed by computer simulation to optimize the operation and develop alternatives. The most promising alternatives are implemented, and sampling is conducted to quantify benefits. In the current project, the primary objective was to adapt Mine-to-Mill technology to the aggregates industry. The first phase of this work was carried out at the Bealeton Quarry near Fredericksburg, Virginia. The second phase was carried out at the Pittsboro Quarry south of Chapel Hill, North Carolina. Both quarries are operated by Luck Stone Corporation of Richmond, Virginia. As a result of the work, several conclusions can be drawn from the project which should assist DOE in assessing the applicability of the Mine-to-Mill approach to the aggregates industry. 1. Implementation of MTM guidelines at Pittsboro has resulted in tangible improvements in productivity. It is clear that MTM guidelines represent an energy savings of around 5% (primary and secondary) and an overall energy savings of 1%. This 1-5% energy savings is also consistent with simulated results for Bealeton had side-by-side shots used to evaluate the technology been carried out in the same rockmass. 2. Luck Stone clearly runs their operations at a high standard. Hence the percentage improvement realized in this project may represent the lower end of what might be expected overall in the aggregates industry. 3. Variability in ore types across both Bealeton and Pittsboro suggests a 2:1 difference in hardness which contradicts the misconception that quarry rock is homogenous. Therefore, the idea of comparing side-by-side blasts is not viable and long term comparisons stand the best chance of confirming the benefits of optimized blasting. 4. There are clear limitations on how much improvement can be made in the aggregate industry due to the fixed feed size that reports to the tertiary section of a typical aggregate plant. These limitations restrict the MTM approach from exercising significant increases in blasting which would only serve to increase fines and reduce product yield. 5. The key to success at Pittsboro was the development of MTM guidelines for the modified blasting practice in consultation with the drill & blast crew. Their full buy-in was necessary to implement optimized blasting in a sustained manner. 6. The JKSimBlast and JKSimMet models have proven to be effective tools for examining blasting and processing at Bealeton and Pittsboro. These models should enable Luck Stone to transfer the MTM approach to other sites.

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

    E-Print Network [OSTI]

    Hamilton, David Andrew

    1977-01-01

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

  15. 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

  16. Emission control options for mine diesels

    SciTech Connect (OSTI)

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

    1991-03-01

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

  17. High pressure water jet mining machine

    DOE Patents [OSTI]

    Barker, Clark R. (Rolla, MO)

    1981-05-05

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

  18. Coal recovery from mine wastes of the historic longwall mining district of north-central illinois. Illinois mineral notes

    SciTech Connect (OSTI)

    Khan, L.A.; Berggren, D.J.; Camp, L.R.

    1986-01-01

    Recovery of coal from mine wastes produced by historic longwall mines in northeastern Illinois was studied as part of a project undertaken in 1982 for the Illinois Abandoned Mined Lands Reclamation Council. About 100 of these mines operated in the Wilmington and La Salle Districts of the Illinois Coal Field between about 1870 and 1940; all worked the Colchester (No. 2) Coal Seam, using a manual high-extraction mining method. Large samples of the three major kinds of mine waste - gray mining gob, preparation gob, and preparation slurry - were collected from deposits at nine of the larger mine sites and analyzed to determine their general ranges of sulfur, ash, and heating values. Preparation gob and slurry from six of the sites had significant combustible contents, and were evaluated by a simple procedure in which ash analyses and wet-screening tests were used to determine the washability and yield of combustibles to recovery processes.

  19. 1 INTRODUCTION Appalachian coal recovered during mining fre-

    E-Print Network [OSTI]

    overlies a section of the mine workings and, therefore, long term stability of the mine work- ings (Newman, 2003). In this paper, a "risk analysis" approach was util- ized to evaluate the potential impacts of room-and- pillar mine workings on the impoundment site. Un- der this methodology, a "worst case

  20. Underground Mine Communication and Tracking Systems : A Survey

    E-Print Network [OSTI]

    New South Wales, University of

    . The underground mining environment is remarkably different from the condi- tions present on the surface the mine. The self ignition of coal seams results from an exothermic reaction of coal and oxygenUnderground Mine Communication and Tracking Systems : A Survey Prasant Misra1 Diet Ostry2 Sanjay

  1. UTILIZATION OF SEISMIC AND INFRASOUND SIGNALS FOR CHARACTERIZING MINING EXPLOSIONS

    E-Print Network [OSTI]

    Stump, Brian W.

    on the Western US, where a variety of different types of mining operations exist, ranging from surface coal cast, single-fired explosions of varying yield were conducted in the coal mine. At regional distances in developing ground truth. Unlike coal cast or taconite blasts, Morenci Copper Mine often shoots several

  2. 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

  3. Visiting Assistant Professor New Mexico Institute of Mining and Technology

    E-Print Network [OSTI]

    Borchers, Brian

    Visiting Assistant Professor New Mexico Institute of Mining and Technology The Department. Send all material to New Mexico Institute of Mining and Technology, Human Resources, Socorro, NM 87801 of Mathematics at New Mexico Institute of Mining and Tech- nology invites applications for a Visiting Assistant

  4. 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

  5. Open DMIX: High Performance Web Services for Distributed Data Mining

    E-Print Network [OSTI]

    Grossman, Robert

    Open DMIX: High Performance Web Services for Distributed Data Mining Robert Grossman , Yunhong Gu Krishnaswamy, Web-Service Based Data Mining Middleware for Grid Computing Environments, 7th Interna- tional collection of web services for the mining, integration, and exploration of remote and dis- tributed data. We

  6. Revised October 1, 2012 COLORADO SCHOOL OF MINES

    E-Print Network [OSTI]

    Revised October 1, 2012 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT USER GUIDE Table ........................................................................................29 #12;2 PREFACE The Colorado School of Mines Performance Management System and this associated, the Colorado School of Mines performance management system has been designed to encourage collaborative efforts

  7. Data Mining Using Light Weight Object Management in Clustered Computing

    E-Print Network [OSTI]

    Grossman, Robert

    Data Mining Using Light Weight Object Management in Clustered Computing Environments R. L. Grossman, Inc. Oak Park, Illinois February, 1996 This is a draft of the following article: Data Mining Using, and infrequently updated. These operations and access patterns are common when data mining large data stores, which

  8. Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies Eyke H recently also in the field of data mining. In this chapter, we provide a synthesis of different approaches of knowledge discovery in databases (KDD) and its core methodological component, data mining, have attracted

  9. Dynamic Data Mining* Vijay Raghavan and Alaaeldin Hafez1

    E-Print Network [OSTI]

    Raghavan, Vijay

    Dynamic Data Mining* Vijay Raghavan and Alaaeldin Hafez1 (raghavan, ahafez Abstract. Business information received from advanced data analysis and data mining is a critical success as a local procedure to generate large itemsets. We prove that the Dynamic Data Mining algorithm is correct

  10. Data Mining et Statistique Philippe Besse # , Caroline Le Gall + ,

    E-Print Network [OSTI]

    Besse, Philippe

    Data Mining et Statistique Philippe Besse # , Caroline Le Gall + , Nathalie Raimbault # & Sophie Sarpy § Râ??esumâ??e Cet article propose une introduction au Data Mining. Celle­ci prend la forme d'une r permettent de tirer quelques ensei­ gnements sur les pratiques du data mining : choix d'une mâ??ethode, comp

  11. Interactive Data Mining Considered Harmful (If Done Wrong)

    E-Print Network [OSTI]

    Waldmann, Uwe

    Interactive Data Mining Considered Harmful (If Done Wrong) Pauli Miettinen Max-Planck-Institut für Informatik Saarbrücken, Germany pauli.miettinen@mpi-inf.mpg.de ABSTRACT Interactive data mining can, there is a serious risk that the user of powerful interactive data mining tools will only find the results she

  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 presents a high-level data-mining framework that reduces the overall process into smaller components

  13. Data Mining: Spring 2013 Statistics 36-462/36-662

    E-Print Network [OSTI]

    Tibshirani, Ryan

    Data Mining: Spring 2013 Statistics 36-462/36-662 Instructor: Ryan Tibshirani, Dept. of Statistics:30-2:50pm, Porter Hall 125C Overview and objectives Data mining is the science of discovering structure and making predictions in data sets (typically, large ones). Applications of data mining are happening all

  14. A Perspective on Statistical Tools for Data Mining Applications

    E-Print Network [OSTI]

    Rocke, David M.

    A Perspective on Statistical Tools for Data Mining Applications David M. Rocke Center for Image Processing and Integrated Computing University of California, Davis Statistics and Data Mining Statistics in the field are aimed at more exploratory ends. In this sense, data mining (defined as the exploratory

  15. Data Mining Middleware for Wide Area High Performance Networks

    E-Print Network [OSTI]

    Grossman, Robert

    1 Data Mining Middleware for Wide Area High Performance Networks Robert L. Grossman*, Yunhong Gu, David Hanley, and Michal Sabala National Center for Data Mining, University of Illinois at Chicago, USA multiple high volume data streams. Both rely on newly developed data transport and data mining middleware

  16. A Data Stream Mining System Hetal Thakkar Barzan Mozafari

    E-Print Network [OSTI]

    A Data Stream Mining System Hetal Thakkar Barzan Mozafari University of California at Los Angeles {hthakkar, barzan, zaniolo}@cs.ucla.edu Carlo Zaniolo Abstract On-line data stream mining has attracted much library of mining algorithms that are fast & light enough to be effective on data streams, and (iii) sup

  17. A Statistical Perspective on Data Mining Ranjan Maitra

    E-Print Network [OSTI]

    Maitra, Ranjan

    A Statistical Perspective on Data Mining Ranjan Maitra Abstract Technological advances have led. Such capability is provided by data mining which combines core statistical techniques with those from machine of data mining from the point of view of a researcher in databases and for help with Figure 4, Rouben

  18. Text and spatial data mining Finn Arup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Text and spatial data mining Finn °Arup Nielsen Lundbeck Foundation Center for Integrated Molecular data mining Parcellation of the human brain Parcellation of the human brain by combining text min- ing and spatial data min- ing within a neuroinformatics database. Text mining: Analysis of sci- entific abstracts

  19. Data Mining and Knowledge ISSN 1384-5810

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    1 23 Data Mining and Knowledge Discovery ISSN 1384-5810 Volume 22 Combined 1-2 Data Min Knowl Disc this knowledge for future severe weather detection and prediction algorithms. Keywords Temporal data mining accuracy are to take place. The long-term goals of our work in spatiotemporal data mining

  20. DISCUSSIONS AND CLOSURES Discussion of "Data Mining Process for

    E-Print Network [OSTI]

    Chahar, B. R.

    DISCUSSIONS AND CLOSURES Discussion of "Data Mining Process for Integrated Evaporation Model" by M should be commended for presenting an investigation on the ability and accuracy of the data mining-based evapotranspiration esti- mation models Abtew 2001 . On the other hand, the data mining process appears under

  1. Toward Knowledge-Rich Data Mining Pedro Domingos

    E-Print Network [OSTI]

    Domingos, Pedro

    Toward Knowledge-Rich Data Mining Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA 98195 pedrod@cs.washington.edu 1 The Knowledge Gap Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining

  2. 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

  3. 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

  4. Mining gene sets for measuring similarities CHRISTINE NARDINI1

    E-Print Network [OSTI]

    Nardini, Christine

    Mining gene sets for measuring similarities CHRISTINE NARDINI1 , DANIELE MASOTTI2 , SUNGROH YOON3 and data mining of these new, large types of data. The proliferation of devices able to process in paral of number of genes under different environmental conditions. Data mining algorithms demanded to the analysis

  5. PROOF MINING: A SYSTEMATIC WAY OF ANALYSING PROOFS IN MATHEMATICS

    E-Print Network [OSTI]

    Haller-Dintelmann, Robert

    PROOF MINING: A SYSTEMATIC WAY OF ANALYSING PROOFS IN MATHEMATICS ULRICH KOHLENBACH AND PAULO OLIVA Abstract. We call proof mining the process of logically analyzing proofs in mathe- matics with the aim of the main techniques used in proof mining. We show that those techniques not only apply to proofs based

  6. 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 informationfrommassiveobservationaldatasets. Because of this historical context, data mining to date has largely focused on computational a brief review of the origins of data mining as well as discussing some of the primary themes in current

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. Data Mining and Applied Linear Algebra Department of Mathematics

    E-Print Network [OSTI]

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

  16. 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

  17. 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

  18. 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

  19. TextVis: An Integrated Visual Environment for Text Mining *

    E-Print Network [OSTI]

    Lindell, Yehuda

    TextVis: An Integrated Visual Environment for Text Mining * David Landau, Ronen Feldman, Yonatan University of Washington Seattle, WA zamir@cs.washington.edu Abstract. TextVis is a visual data mining system can be used to browse the collection. TextVis takes a multi­strategy approach to text mining

  20. An Extreme Point Tabu Search Method for Data Mining

    E-Print Network [OSTI]

    Mitchell, John E.

    An Extreme Point Tabu Search Method for Data Mining Kristin P. Bennett \\Lambda Jennifer A. Blue error of all the decisions in the tree concurrently. Decision trees are ideal for data­mining because optimize existing decision trees. This capability can be used in data mining for avoiding overfitting