Sample records for previous solution mining

  1. New solutions of mining tools for hard rock mining

    Kotwica, K.; Dasgupta, S. [University of Mining and Metallurgy, Cracow (Poland). Dept. of Mining, Dressing and Transportation Machines


    This article presents new solutions of mining tools for hard rock mining and the test results of research in the laboratory stand constructed at the University of Mining and Metallurgy in Crakow for cutting of artificial samples of rock with new mining tools. New solutions of rotary picks and non-symmetric disk cutters have been used. During the studies of the pick edge wear, force and mining effect were measured, using several selected mining parameters. Results obtained with new bell-type pick and disc cutters have proved very encouraging. 2 refs., 12 figs., 1 tab.

  2. Digital Solution to Mining Image Monitor System

    刘越男; 孙继平; 苏辉; 那景芳


    The thesis describes an advanced digital solution to mining digital image monitor system, which makes up the shortage of the traditional mining analog image monitor. It illustrates the system components and how to choose the encoder bandwidth of the system. The problem of image multicast and its solution in LAN are also discussed.

  3. Data Mining Solutions for the Business Environment

    Ruxandra-Stefania PETRE


    Full Text Available Over the past years, data mining became a matter of considerable importance due to the large amounts of data available in the applications belonging to various domains. Data mining, a dynamic and fast-expanding field, that applies advanced data analysis techniques, from statistics, machine learning, database systems or artificial intelligence, in order to discover relevant patterns, trends and relations contained within the data, information impossible to observe using other techniques. The paper focuses on presenting the applications of data mining in the business environment. It contains a general overview of data mining, providing a definition of the concept, enumerating six primary data mining techniques and mentioning the main fields for which data mining can be applied. The paper also presents the main business areas which can benefit from the use of data mining tools, along with their use cases: retail, banking and insurance. Also the main commercially available data mining tools and their key features are presented within the paper. Besides the analysis of data mining and the business areas that can successfully apply it, the paper presents the main features of a data mining solution that can be applied for the business environment and the architecture, with its main components, for the solution, that would help improve customer experiences and decision-making

  4. 30 CFR 816.106 - Backfilling and grading: Previously mined areas.


    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Backfilling and grading: Previously mined areas...-SURFACE MINING ACTIVITIES § 816.106 Backfilling and grading: Previously mined areas. (a) Remining... opertions where the volume of all reasonably available spoil is demonstrated in writing to the...

  5. 30 CFR 817.106 - Backfilling and grading: Previously mined areas.


    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Backfilling and grading: Previously mined areas...-UNDERGROUND MINING ACTIVITIES § 817.106 Backfilling and grading: Previously mined areas. (a) Remining... operations where the volume of all reasonably available spoil is demonstrated in writing to the...


    Adamek Artur


    Full Text Available Mobile laser scanning technology is developing rapidly also in mining. For several years research and tests are conducted on the use of that type of measurement in the inventory of the mine shafts. The company SKALA 3D in the project 1.4 POIG by PARP undertook to create Mobile automatic steering system of spatial geometry measurements mine shafts using laser scanning technology. Its main advantage is a faithful reflection of the object being measured in just a few hours. It is based on the data flowing from laser scannersand precision inertial unit. The main problem of the research was to determine the trajectory of the passing Mobile Platforms Mining (MPG in the shaft as accurately as possible. Unable toreceive signals from satellites in the pipe shaft prevented the use of solutions known for measuring terrestrial mobile systems. The company SKALA 3D has developed a methodology for determine the trajectory of the system, based on geometrical data coming from laser scanners and readings of accelerometers and gyroscopes of inertial unit. To improve the quality and accuracy of measurements MPG is also equipped with a set of anti-vibration parts prevent the transmission of vibrations ascending while cage is moving in the shaft on the measuring system. The whole forms a calibrated system, which in a short time is able to provide spatial measurement data from the measuring shaft. The accuracy of 2-3 mm in a single measurement horizon and a few centimeters determine the position of a point on the thousandth meter below ground make the system very accurate. During the project there have been numerous research problems, including the need to define the physical references, drift of IMU whether harsh weather conditions in the shaft. However, the company SKALA 3D solved these problems and making MPG unique in the world.


    Griswold, G. B.


    Following a description of salt resources in the salt domes of the gulf coast embayment, mining, particularly solution mining, is described. A scenario is constructed which could lead to release of radioactive waste stored in a salt dome via inadvertent solution mining and the consequences of this scenario are analyzed.


    Jaseena K.U.


    Full Text Available Data has become an indispensable part of every economy, industry, organization, business function and individual. Big Data is a term used to identify the datasets that whose size is beyond the ability of typical database software tools to store, manage and analyze. The Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation and measurement errors. These challenges are distinguished and require new computational and statistical paradigm. This paper presents the literature review about the Big data Mining and the issues and challenges with emphasis on the distinguished features of Big Data. It also discusses some methods to deal with big data.

  9. KnoE: A Web Mining Tool to Validate Previously Discovered Semantic Correspondences

    Jorge Martinez-Gil; José F.Aldana-Montes


    The problem of matching schemas or ontologies consists of providing corresponding entities in two or more knowledge models that belong to a same domain but have been developed separately.Nowadays there are a lot of techniques and tools for addressing this problem,however,the complex nature of the matching problem make existing solutions for real situations not fully satisfactory.The Google Similarity Distance has appeared recently.Its purpose is to mine knowledge from the Web using the Google search engine in order to semantically compare text expressions.Our work consists of developing a software application for validating results discovered by schema and ontology matching tools using the philosophy behind this distance.Moreover,we are interested in using not only Google,but other popular search engines with this similarity distance.The results reveal three main facts.Firstly,some web search engines can help us to validate semantic correspondences satisfactorily.Secondly there are significant differences among the web search engines.And thirdly the best results are obtained when using combinations of the web search engines that we have studied.

  10. Data mining with SPSS modeler theory, exercises and solutions

    Wendler, Tilo


    Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice.

  11. Roadway failure and support in a coal seam underlying a previously mined coal seam

    Lu Yinlong; Wang Lianguo; Zhang Bei


    The influence of an upper,mined coal seam on the stability of rock surrounding a roadway in a lower coal seam is examined.The technical problems of roadway control are discussed based on the geological conditions existing in the Liyazhuang Mine No.2 coal seam.The stress distribution and floor failure in the lower works after mining the upper coal is studied through numerical simulations.The failure mechanism of the roof and walls of a roadway located in the lower coal seam is described.The predicted deformation and failure of the roadway for different distances between the two coal seams are used to design two ways of supporting the lower structure.One is a combined support consisting of anchors with a joist steel tent and a combined anchor truss.A field test of the design was performed to good effect.The results have significance for the design of supports for roadways located in similar conditions.

  12. New process may aid solution mining. [Fracturing salt deposits


    A novel approach is presented regarding fracturing salt deposits. It promises to make solution mining more eficient in recovering potash from a deep ore-body. In the process, wells to supply process water are drilled in the center of a proposed mining field. The well depth is determined by the location of a water-bearing stratum having a geothermic heat content at least equal to that in the mineral strata to be mined. If process water of lower heat content is used, it can be warmed artificially by steam injection or allowed to absorb heat in the geothermic environment prevailing in the mineral stratum during the process of curing the brine to maturity. Once a process water source is assured, injection wells are drilled to the deepest stratum of sylvinite. The water is then injected adjacent to a clay bed at a hydraulic pressure sufficient to permit breakdown of the formation. Starting at the lowest stratum permits advantage to be taken of an ascending fracture plane. After having achieved breakdown in each stratum, the operator continues injection of water to assure coverage of the necessary fractured plane. Then the brine field development wells are drilled in a convenient pattern to correspond with the direction of the fracture plane (these can be used at a later date either as brine-producing or injection wells). Well spacings are proposed (between injection wells of at least 400 ft.

  13. Location of microseismic swarms induced by salt solution mining

    Kinscher, J.; Bernard, P.; Contrucci, I.; Mangeney, A.; Piguet, J. P.; Bigarre, P.


    Ground failures, caving processes and collapses of large natural or man-made underground cavities can produce significant socio-economic damages and represent a serious risk envisaged by the mine managements and municipalities. In order to improve our understanding of the mechanisms governing such a geohazard and to test the potential of geophysical methods to prevent them, the development and collapse of a salt solution mining cavity was monitored in the Lorraine basin in northeastern France. During the experiment, a huge microseismic data set (˜50 000 event files) was recorded by a local microseismic network. 80 per cent of the data comprised unusual swarming sequences with complex clusters of superimposed microseismic events which could not be processed through standard automatic detection and location routines. Here, we present two probabilistic methods which provide a powerful tool to assess the spatio-temporal characteristics of these swarming sequences in an automatic manner. Both methods take advantage of strong attenuation effects and significantly polarized P-wave energies at higher frequencies (>100 Hz). The first location approach uses simple signal amplitude estimates for different frequency bands, and an attenuation model to constrain the hypocentre locations. The second approach was designed to identify significantly polarized P-wave energies and the associated polarization angles which provide very valuable information on the hypocentre location. Both methods are applied to a microseismic data set recorded during an important step of the development of the cavity, that is, before its collapse. From our results, systematic spatio-temporal epicentre migration trends are observed in the order of seconds to minutes and several tens of meters which are partially associated with cyclic behaviours. In addition, from spatio-temporal distribution of epicentre clusters we observed similar epicentre migration in the order of hours and days. All together, we

  14. Integrated efficient solution : mines adopting energy management system

    Lopez-Pacheco, A.


    This article discussed a multi-faceted approach to energy consumption optimization (ECO) in underground mines. BESTECH, a provider of engineering, software and environmental monitoring services developed the NRG1-ECO to manage the many pieces of automated equipment in a mine. This complete energy management system can be applied to processes such as compressors, pumps and other systems in a mine that could benefit from lower energy use. A mine's ventilation system usually operates continuously at peak capacity. The ventilation-on-demand (VOD) module of NRG1-ECO can reduce ventilation costs by up to 30 percent by enabling the mine to instantly control the air flow to where it is needed. BESTECH developed the technology in collaboration with a consortium of mine industry experts to establish best practices and standards. There are 5 control strategies in the NRG1-ECO, including time-of-day scheduling; real time control; environmental monitoring control; real-time air flow monitoring and adjustment; and the Intelligent Zone Controller (IZC) which increases the system responsiveness as data can be analyzed and processed internally and does not have to be transmitted to surface for decision making. Each control parameters is based on the needs of individual mines and designed according to their specifications. The NRG1-ECO also stores all the data it processes for real-time monitoring. The system will be tested in a two-staged approach in the Hoyle Pond Mine in Timmins, Ontario, and will expand to the rest of the mine if that proves to be satisfactory. 1 fig.

  15. Hazard development mechanism and deformation estimation of water solution mining area

    HE Yue-guang; LI Zhi-wei; YANG Xiao-li


    Based on the hazard development mechanism, a water solution area is closely related to the supporting effect of pressure-bearing water, the relaxing and collapsing effect of orebody interlayer, the collapsing effect of thawless material in orebody,filling effect caused by cubical expansibility of hydrate crystallization and uplifting effect of hard rock layer over cranny belt. The movement and deformation of ground surface caused by underground water solution mining is believed to be much weaker than that caused by well lane mining, which can be predicted by the stochastic medium theory method. On the basis of analysis on the engineering practice of water solution mining, its corresponding parameters can be obtained from the in-site data of the belt water and sand filling mining in engineering analog approach.

  16. Compromise solutions in mining method selection - case study in colombian coal mining

    Jorge Iván Romero-Gélvez; Félix Antonio Cortes-Aldana; Giovanni Franco-Sepúlveda


      The purpose of this paper is to present a quantitative approach to the selection of the mining extraction method by developing a methodological problem of discrete multicriteria decision making (MCDM...

  17. Valorization of mining waste and tailings through paste backfilling solution, Imiter operation, Morocco

    Khaldoun Abdelhadi; Ouadif Latifa; Baba Khadija; Bahi Lahcen


    Mine waste and process tailings storage is one of important challenge for which mining operations are increasingly confronted. Treatment discharges of plants and main part of waste rock development are generally stored on surface areas. The volume and chemical characteristics of these materials generate serious problem for required storage spaces and mainly environmental degradation. Paste backfill (PBF) is one of ingenious solutions to minimize the quantity of tailings to store. PBF is basically defined as a combination of mine processing tailings, binder, and water mixing. The purpose of this paper is to present backfilling components characterization and formula verification for a waste valorization solu-tion through paste backfilling technology in Imiter operation. Obtained results and realized analysis demonstrate PBF conformity and adequacy with assigned underground functions. However the studied recipe can be more ameliorated to obtain an optimal mixture ensuring the required mechanical strength.


    YAOJianguo; GUOFanqiang; DUZhongxiao


    This paper focuses on the following topics: (1). development and practical application of numerical modelling capabilities to investigate methods of improving coal recovery related with underground coal mining;(2), some treatment skill such as rock mass failure treatment, model calibration requirements, etc.; (3). comparison between results of modelling and underground monitoring. Application shows that numerical modelling is a useful tool for investigation of many coal mining design problems, in both major and minor roles. Modelling can be used as an integral part of mine planning and the solution of mining problems.

  19. Is Toscana A Formal Concept Analysis Based Solution In Web Usage Mining?

    Dan-Andrei SITAR-TĂUT


    Full Text Available Analyzing large amount of data come from web logs represents a complex, but challenging nowadays problem with implication in various fields, thing that lets open a way for theoretically infinite approaches an implementations. The main goal of our paper represents the possibility of applying the formal concept analysis as viable solution of sustaining the web mining process, based on a technological open-source solution called TOSCANA.

  20. 76 FR 21401 - Notice of Availability of the Draft EIS for the HB In-Situ Solution Mine Project, Eddy County, NM


    ... inactive underground mine workings using solution mining methods. Intrepid proposes to construct and operate a solution mining project in an existing deep mine located approximately 20 miles northeast of... methods: Web site: E-mail: Fax:...

  1. Colloid investigations of acid rock drainage solution from an abandoned Zn-Pb-Ag mine by ultrafiltration and PCS measurements

    Richter, W.; Zaenker, H.


    Acid rock drainage (ARD) solution from an abandoned ore mine was investigated by photon correlation spectroscopy, ultrafiltration and ICP-MS. A colloid concentration of about 1 g/L was found. The prevailing particle size was < 5 nm. (orig.)

  2. Mining

    Khairullah Khan


    Full Text Available Opinion mining is an interesting area of research because of its applications in various fields. Collecting opinions of people about products and about social and political events and problems through the Web is becoming increasingly popular every day. The opinions of users are helpful for the public and for stakeholders when making certain decisions. Opinion mining is a way to retrieve information through search engines, Web blogs and social networks. Because of the huge number of reviews in the form of unstructured text, it is impossible to summarize the information manually. Accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and Web documents. This study presents a systematic literature survey regarding the computational techniques, models and algorithms for mining opinion components from unstructured reviews.

  3. Solution of the capacity increase of the waste dump at the Merkur surface mine in Czechoslovakia

    Musil, P.


    The methods used in the past for backfilling the large dump at the Merkur surface mine have, due to an ignorance of the factors influencing dump stability, resulted in significant capacity reductions of the dump. This ignorance was the result of insufficient knowledge, research, and poor practice at the operation. Recent re-evaluation of the actual stability conditions has led to a solution which permits an increase in the dump capacity, such that it is compatible with future mining plans. By considering the structure of the soils being used as backfill, specific technological processes are being defined which enable the preservation of the highest possible shear strength of the clayey soils, and thereby maximize the utilization of the internal capacity with at least short term stability. Questions regarding the behaviour and properties of the loose clayey material are also being answered, and new methods of stability calculation for the high dump are being developed. The key to these solutions has been the knowledge gained regarding the shear strength of the loose clayey material under various effective stress conditions, while realizing that three different zones can exist simultaneously within the body of the dump: the slope areas (having the greatest failure-inducing stress), the temporary areas (having a somewhat lower applied stress), and the dump core (where the tendency to fail is nearly zero). Through a sound application of this knowledge, the capacity of the waste dump at the large Merkur surface mine has been adequately expanded for the future.

  4. Evaluation of automated underground mapping solutions for mining and civil engineering applications

    Eyre, Matthew; Wetherelt, Andrew; Coggan, John


    The extractive and construction industries rely heavily on accurate geospatial data to control position, location, alignment, and orientation of planned excavations. Recent advancements in the survey industry, through the use of terrestrial laser scanning, can now provide engineering teams with three-dimensional (3-D) data in unprecedented detail via georeferenced point clouds. Furthermore, equipment is now available that provides fully mobile automated mapping solutions, independent of satellite positioning, utilizing simultaneous localization and mapping. This paper evaluates the surveying capability of three fully mobile automated mapping solutions against a benchmark laser scanning survey undertaken at the underground Camborne School of Mines Test Mine facility. The study highlights that handheld automated mapping solutions, in which closed-loops can be formed, have the potential to provide quicker data collection and processing time, as well as the required accuracy for underground surveying applications. However, the automated solution was unable to produce the necessary point cloud density to identify low-angled discontinuities that may have a major safety implication, leading to potential rockfall.

  5. Analytical solution for stress and deformation of the mining floor based on integral transform

    Feng Qiang; Jiang Binsong


    Following exploitation of a coal seam, the final stress field is the sum of in situ stress field and an exca-vation stress field. Based on this feature, we firstly established a mechanics analytical model of the min-ing floor strata. Then the study applied Fourier integral transform to solve a biharmonic equation, obtaining the analytical solution of the stress and displacement of the mining floor. Additionally, this investigation used the Mohr–Coulomb yield criterion to determine the plastic failure depth of the floor strata. The calculation process showed that the plastic failure depth of the floor and floor heave are related to the mining width, burial depth and physical–mechanical properties. The results from an exam-ple show that the curve of the plastic failure depth of the mining floor is characterized by a funnel shape and the maximum failure depth generates in the middle of mining floor;and that the maximum and min-imum principal stresses change distinctly in the shallow layer and tend to a fixed value with an increase in depth. Based on the displacement results, the maximum floor heave appears in the middle of the stope and its value is 0.107 m. This will provide a basis for floor control. Lastly, we have verified the analytical results using FLAC3D to simulate floor excavation and find that there is some deviation between the two results, but their overall tendency is consistent which illustrates that the analysis method can well solve the stress and displacement of the floor.

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

    Monreal, Benjamin


    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.

  7. 77 FR 5566 - Notice of Availability of the Final EIS for the HB In-Situ Solution Mine Project, Eddy County...


    ... commonly used for fertilizer, remaining in inactive underground mine workings using the solution mining... the power and pipeline routes to protect resources and improve efficiency. Comments on the Draft...

  8. Review and interpretation of previous work and new data on the hydrogeology of the Schwartzwalder Uranium Mine and vicinity, Jefferson County, Colorado

    Caine, Jonathan Saul; Johnson, Raymond H.; Wild, Emily C.


    The Schwartzwalder deposit is the largest known vein type uranium deposit in the United States. Located about eight miles northwest of Golden, Colorado it occurs in Proterozoic metamorphic rocks and was formed by hydrothermal fluid flow, mineralization, and deformation during the Laramide Orogeny. A complex brittle fault zone hosts the deposit comprising locally brecciated carbonate, oxide, and sulfide minerals. Mining of pitchblende, the primary ore mineral, began in 1953 and an extensive network of underground workings was developed. Mine dewatering, treatment of the effluent and its discharge into the adjacent Ralston Creek was done under State permit from about 1990 through about 2008. Mining and dewatering ceased in 2000 and natural groundwater rebound has filled the mine workings to a current elevation that is above Ralston Creek but that is still below the lowest ground level adit. Water in the 'mine pool' has concentrations of dissolved uranium in excess of 1,000 times the U.S. Environmental Protection Agency drinking-water standard of 30 milligrams per liter. Other dissolved constituents such as molybdenum, radium, and sulfate are also present in anomalously high concentrations. Ralston Creek flows in a narrow valley containing Quaternary alluvium predominantly derived from weathering of crystalline bedrock including local mineralized rock. Just upstream of the mine site, two capped and unsaturated waste rock piles with high radioactivity sit on an alluvial terrace. As Ralston Creek flows past the mine site, a host of dissolved metal concentrations increase. Ralston Creek eventually discharges into Ralston Reservoir about 2.5 miles downstream. Because of highly elevated uranium concentrations, the State of Colorado issued an enforcement action against the mine permit holder requiring renewed collection and treatment of alluvial groundwater. As part of planned mine reclamation, abundant data were collected and compiled into a report by Wyman and Effner

  9. Mercury and Cyanide Contaminations in Gold Mine Environment and Possible Solution of Cleaning Up by Using Phytoextraction



    Full Text Available Water contamination with heavy metals, mainly mercury and cyanide (CN due to small scale of public mines and large scale of industrial mines have been in concern to residents around the area. Surveys of heavy metal contamination in aquatic environments, such as rivers and paddy fields over two gold mine areas in West Jawa were conducted and possible solution of using indigenous plants for phytoremediation was studied. The results showed that most of the rivers and other aquatic environments were affected by gold mine activities. Rivers, ponds, and paddy fields around illegal public mines were mostly contaminated by mercury in considerably high levels, such as paddy fields in two locations (Nunggul and Leuwijamang, Pongkor were contaminated up to 22.68 and 7.73 ppm of Hg, respectively. Whereas rivers located around large scale industrial mines were contaminated by CN. Possible solution of cleaning up by using green technology of phytoremediation was examined. Some plant species grew in the contaminated sites showed high tolerance and potentially effective in accumulating cyanide or mercury in their roots and above ground portions. Lindernia crustacea (L. F.M., Digitaria radicosa (Presl Miq, Paspalum conjugatum, Cyperus kyllingia accumulated 89.13, 50.93, 1.78, and 0.77 ppm of Hg, respectively. Whereas, Paspalum conjugatum, Cyperus kyllingia accumulated 16.52 and 33. 16 ppm of CN respectively.

  10. Using Data Mining to Find Patterns in Ant Colony Algorithm Solutions to the Travelling Salesman Problem

    YAN Shiliang; WANG Yinling


    Travelling Salesman Problem (TSP) is a classical optimization problem and it is one of a class of NP-Problem. The purposes of this work is to apply data mining methodologies to explore the patterns in data generated by an Ant Colony Algorithm (ACA) performing a searching operation and to develop a rule set searcher which approximates the ACA'S searcher. An attribute-oriented induction methodology was used to explore the relationship between an operations' sequence and its attributes and a set of rules has been developed. At the end of this paper, the experimental results have shown that the proposed approach has good performance with respect to the quality of solution and the speed of computation.

  11. Kinetics of copper electrodeposition onto Polypyrrole films previously synthesised onto iron in oxalic aqueous solution. Application to electrocatalysis

    Aitout, R. [Laboratoire de Recherche en Electrochimie et Corrosion, Departement de Genie des Procedes, Faculte des Sciences et des Sciences de l' Ingenieur, Universite de Bejaia, 06000 Bejaia (Algeria); Makhloufi, L. [Laboratoire de Recherche en Electrochimie et Corrosion, Departement de Genie des Procedes, Faculte des Sciences et des Sciences de l' Ingenieur, Universite de Bejaia, 06000 Bejaia (Algeria)]. E-mail:; Saidani, B. [Laboratoire de Recherche en Electrochimie et Corrosion, Departement de Genie des Procedes, Faculte des Sciences et des Sciences de l' Ingenieur, Universite de Bejaia, 06000 Bejaia (Algeria)


    Copper electrodeposition onto previously synthesised Polypyrrole (PPy) onto iron in oxalic medium has been investigated using polarization and electrochemical impedance spectroscopy. This investigation was done at potential range where hydrogen evolution does not occur. The kinetics of this reaction was found to be under diffusion control and the diffusion coefficient of reactive species was found to be 6.4 {+-} 0.1 x 10{sup -6} cm{sup 2} s{sup -1}. The electrochemical impedance spectroscopy was used to estimate the roughness variation of the electrode surface during copper electrodeposition. Scanning Electron Microscopy observation of Fe/PPy/Cu films provide strong evidence of the close relationship between deposit morphology and electrocatalytic activity.

  12. Assessment of trace ground-water contaminants release from south Texas in-situ uranium solution-mining sites

    Kidwell, J.R.; Humenick, M.J.


    The future of uranium solution mining in south Texas depends heavily on the industry's ability to restore production zone ground water to acceptable standards. This study investigated the extent of trace contaminant solubilization during mining and subsequent restoration attempts, first through a literature search centered on uranium control mechanisms, and then by laboratory experiments simulating the mining process. The literature search indicated the complexity of the situation. The number of possible interactions between indigenous elements and materials pointed on the site specificity of the problem. The column studies evaluated three different production area ores. Uranium, molybdenum, arsenic, vanadium, and selenium were analyzed in column effluents. After simulated mining operations were completed, uranium was found to be the most persistent trace element. However, subsequent ground water flushing of the columns could restore in-situ water to EPA recommended drinking water concentrations. Limited data indicated that ground water flowing through mined areas may solubilize molybdenum present in down gradient areas adjacent to the production zone due to increased oxidation potential of ground water if adequate restoration procedures are not followed.

  13. Data-mining massive real-time data in a power plant: challenges, problems and solutions

    陈坚红; 任浩仁; 盛德仁; 李蔚


    Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valuable knowledge hidden behind them. It will be beyond people's capacity to analyze and understand these data stored in such a scale database. Fortunately data-mining techniques are arising at the historic moment. In this paper, we explain the basic concept and general knowledge of data-mining; analyze the characteristics and research method of data-mining; give some typical applications of data-mining system based on power plant real-time database on intranet.

  14. Theoretical Study of in-situ Solution Mining%原位溶浸采矿理论研究

    梁卫国; 赵阳升; 徐素国; 于艳梅


    在对钙芒硝盐矿溶解渗透试验、油页岩及不同煤种热解试验研究基础上,发现矿体溶解或热解过程中,矿体中固体骨架、孔隙结构以及渗透性随溶解时间或热解温度不断衍化的规律特征.根据试验结果,结合理论分析,初步建立了原位溶浸采矿的理论架构、本构规律及耦合数学模型,为不同矿床原位溶浸开采理论建立及工程模拟,提供了重要理论指导.%In situ solution mining is a new method for liquidizing mining of solid deposits underground,which has advantage of safety and efficiency in technology.It possesses wide prospect of development and application in the field of underground mineral resources mining.Through experimental study of dissolution and seepage of glauberite,pyrolysis of oil shale and coals in different ranks,the development laws and properties of framework,pores and fissures,and permeability of the tested mineral rocks are found with dissolution time and heating temperature increasing.With the experimental findings and related theoretical analysis,the basic theoretical constitution,constitutive laws,and coupling mathematical model for in situ solution mining are basically established in the paper.It is significant for engineering simulation and practical guidance of in situ solution mining for different deposits.

  15. Evaluation of groundwater pollution in a mining area using analytical solution: a case study of the Yimin open-pit mine in China.

    Li, Tianxin; Li, Li; Song, Hongqing; Meng, Linglong; Zhang, Shuli; Huang, Gang


    This study focused on using analytical and numerical models to develop and manage groundwater resources, and predict the effects of management measurements in the groundwater system. Movement of contaminants can be studied based on groundwater flow characteristics. This study can be used for prediction of ion concentration and evaluation of groundwater pollution as the theoretical basis. The Yimin open-pit mine is located in the northern part of the Inner Mongolia Autonomous Region of China. High concentrations of iron and manganese are observed in Yimin open-pit mine because of exploitation and pumping that have increased the concentration of the ions in groundwater. In this study, iron was considered as an index of contamination, and the solute model was calibrated using concentration observations from 14 wells in 2014. The groundwater flow model and analytical solutions were used in this study to forecast pollution concentration and variation trend after calibration. With continuous pumping, contaminants will migrate, and become enriched, towards the wellhead in the flow direction. The concentration of the contaminants and the range of pollution increase with the flow rate increased. The suitable flow rate of single well should be <380 m/day at Yimin open-pit for the standard value of pollution concentration.

  16. Experimental Design of a Polymeric Solution to Improve the Mobility Ratio in a Reservoir previous implementation of a pilot project of EOR

    Vanessa Cuenca


    Full Text Available This paper describes experimental formulations of polymeric solutions through lab evaluations with the objective of finding optimum solution concentration to fluid mobility in reservoirs as previous step before implementing a pilot project of enhanced oil recovery. The polymers, firstly, were selected based on the properties from fluids from reservoir. Two types of polymers were used TCC-330 and EOR909 and the experimental tests were: thermal stability, compatibility, adsorption, salinity, and displacement. The design with the best results was with polymer TCC-330 at 1,500 ppm concentration.

  17. Optimization of separation processing of copper and iron of dump bioleaching solution by Lix 984N in Dexing Copper Mine

    LIU Qing-ming; YU Run-lan; QIU Guan-zhou; FANG Zheng; CHEN Ai-liang; ZHAO Zhong-wei


    The effects of the concentration of Lix 984N, phase ratio, initial pH value of aqueous phase and extraction time on the extraction of copper and iron under the condition of low Cu2+/Fe3+ ratio in dump bioleaching solution of Dexing Copper Mine were explored. The optimal conditions of extraction are as follows: the concentration of Lix 984N 10%; the phase ratio (O/A) 1:1; the initial pH value of aqueous phase 1.5 and the mixing time 2 min. The stripping experiments show that H2SO4 solution could efficiently recover copper from the organic phase under the optimal conditions.


    Ali Rıza İNCE


    Full Text Available In this study, Chrome mining which has an important place in the Turkish mining industry, analyzed and determined features that can provide a competitive advantage, and also aimed to identifing the existing problems.İn this study qualititive study has done.İn this context, literatüre review was done and descriptive method is used.The first section reviews recent discussions about strategic management approach and its features. The second section includes competetion and competitiveness.İn the context, swot analysis technique, the most preferred method, was utilized for assesing the competetion.And then, swot analysis is done chrome mining lastly, strategic evaluation is done in the context of assesments and analysis for chrome mining and various suppestions have been made about the strategic sense.

  19. A research for environmental problems in the vicinity of mining area. Investigation into the impact of metallic mining on the environment and solutions

    Min, Jeong Sik; Cheong, Young Wook; Lee, Hyun Joo; Song, Duk Young [Korea Inst. of Geology Mining and Materials, Taejon (Korea, Republic of)


    This study is focused on the impacts of metalliferous mines on the environment in the vicinity of the abandoned and active mines and establishment of abatements of mining environmental problems. Total number of metalliferous mines surveyed were 40 in which samples of waters, mine wastes and soil were taken. Water parameters such as the pH, Eh, TDS, conductivity, turbidity, dissolved oxygen and temperature were measured in the field. Elements such as As, Cd, Pb, Zn, Cu, Al, Mn, sulfate and cyanide were analyzed. Significant concentrations of heavy metals, mainly Cd, Zn, Cu, Fe, Mn and Al, were found in mine waters from adit and in leachates extracted from mine wastes. The mine waters flowing out from the Dalsung and Ilgwang mines were the typical acid mine drainage(AMD) contaminated by the heavy metals. Passive biological systems(Anoxic wetland) to treat AMD for metals were designed and monitored for effluents from the reactors with 4 types of composts, cow manure and limestones, Results showed that the mushroom compost with cow manure and limestone was the best substrates in metal removing efficiencies. Results from leaching of mine wastes showed that As, Cd and Cu were extracted from some of mine wastes. AMD from the mine waste dump of the Daduk mine was found. These mean that mine wastes can contaminate the soil, surface water and ground waters in vicinity of mines. Therefore cover systems or liner system for containments of mine wastes were suggested to preserve the environment. Cu and As concentrations in soils surveyed were below the heavy metal concentrations in soils of Korean standard preventing plant of the crops. However, most of the acid mine waters are drained untreated, and mine wastes with heavy metals are distributed near soil environment. Therefore efforts to reduce possibilities of soil contamination in the vicinity of mining areas is required. (author). 33 refs.

  20. Data from a solute transport experiment in the Leviathan Mine drainage, Alpine County, California, October 1982

    Flint, M.R.; Bencala, K.E.; Zellweger, G.W.; Hammermeister, D.P.


    A twenty-four hour injection of chloride and sodium was made into Leviathan Creek, Alpine County, California to aid interpretation of the coupled interactions between physical transport processes and geochemical reactions. Leviathan Creek was chosen because it receives acid mine drainage from Leviathan Mine, an abandoned open-pit sulfur mine. Water samples were collected at 15 sites along a 4.39 kilometer reach and analyzed for chloride, sodium, sulfate and fluoride. Dissolved concentrations are presented in tabular format and time-series plots. Duplicate samples were analyzed by two laboratories: the Central Laboratory, Denver, Colorado and a research laboratory in Menlo Park, California. A tabular comparison of the analyses and plots of the differences between the two laboratories is presented. Hydrographs and instantaneous discharge measurements are included. (USGS)

  1. Alternatives to Anti-Personnel Landmines (Solutions de remplacement aux mines antipersonnel)


    remplacement ont un prix : elles sont plus pesantes sur le plan logistique et impliquent des risques opérationnels pour les forces de l’OTAN. En...très importante, de l’interopérabilité dans le transfert de secteurs qui ont été minés par un pays non-signataire de la Convention d’Ottawa. Le

  2. Efficacy and tolerability of brinzolamide/brimonidine suspension and prostaglandin analogs in patients previously treated with dorzolamide/timolol solution and prostaglandin analogs

    Lo JS


    Full Text Available Jonathan S Lo,1 Pierre M Pang,2 Samuel C Lo3 1John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii, 2MD-Pacific Eye Surgery Center, Honolulu, Hawaii, 3MD-Laser and Eye Surgery Center, Honolulu, Hawaii, USA Objective: Fixed combination glaucoma medication is increasingly used in glaucoma treatment. There is a lack of comparative study in the literature of non-beta blocker combination agents used adjunctively with a glaucoma agent in a different class. The objective of this study is to evaluate the effect of intraocular pressure (IOP control and tolerability of non-beta blocker combination suspension with prostaglandin analogs (PGA in patients with open angle glaucoma who were previously treated with beta blocker combination solution with PGA. Design: Open-label retrospective review of patient records. Patients and methods: This study looked at patients with open angle glaucoma taking dorzolamide/timolol solution with PGA that were switched to brinzolamide/brimonidine combination suspension with PGA. This study reviewed the charts of all patients who were at least 21 years old with a clinical diagnosis of open-angle glaucoma or ocular hypertension in at least one eye. Patients needed to have been treated with concomitant use of PGA and dorzolamide/timolol solution for at least one month. Patients using dorzolamide/timolol solution plus PGA with medication related ocular irritation were switched to brinzolamide/brimonidine suspension with the same PGA. Best-corrected visual acuity, ocular hyperemia grading, slit lamp biomicroscopy and Goldmann applanation tonometry measurements, and patient medication preferences were assessed at baseline, 1 month and 3 months. Results: Forty eyes with open angle glaucoma. The mean age of the patients was 68 and 60% were females. The IOP before the switch was 17.2 and 16.5 (P=0.70 following the switch at 3 months. We found a decreasing trend of ocular hyperemia (P=0.064 and strong preference (P

  3. Granular-relational data mining how to mine relational data in the paradigm of granular computing ?

    Hońko, Piotr


    This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case. Both approaches make it possible to perform and improve popular data mining tasks such as classification, clustering, and association discovery. How can different relational data mining tasks best be unified? How can the construction process of relational patterns be simplified? How can richer knowledge from relational data be discovered? All these questions can be answered in the same way: by mining relational data in the paradigm of granular computing! This book will allow readers with previous experience in the field of relational data mining to discover the many benefits of its granular perspective. In turn, those readers familiar with the paradigm of granular computing will find valuable insights on its application to mining r...

  4. Alternate solutions for mine ventilation network to keep a pre-assigned fixed quantity in a working place

    K A El-Nagdy; A M Shoaib


    In underground constructions, a good ventilation design not only delivers fresh air to establish good working environment, but also provides a scientific and reliable basis to prevent disasters. In emergency cases, unexpected closure of the main airways may occur, providing the workers with alternative airways is substantial. This is important not only to sustain personnel lives, but also to prevent the mine ventilation system from damage. In this research, alternate solutions were introduced in case of failure in the underground construction to keep a pre-assigned fixed quantity in a working place for mine ventilation network. Eight different collapse scenarios were proposed to study their effect on the air quantity distribution among the branches in the ventilation circuit. From these scenarios, it is found that providing a sufficient air quantity in the working places could be achieved through modification of the network topology and adjusting the values of the regulators pressure. It is also indicated that the distance between the collapse and working places has a great effect on the amount of air delivered to it. A reduction in the power consumption could be done by re-arrange the installed regulators and decreasing the number of nodes and branches inside the network. A relationship representing the effect of changing the network topology on the total network power consumption was deduced through regression analysis. It is found that the total network power is quadratic dependent on the number of regulators and number of branches while it is directly dependent on the regulator power.

  5. Removal of lead(II) and copper(II) from aqueous solution using foitite from Linshou mine in Hebei, China.

    He, Dengliang; Yin, Guangfu; Dong, Faqin; Liu, Laibao; Tan, Xiaoli; He, Wangyang


    Foitite from Linshou mine in China's Hebei province was investigated as an adsorbent to remove Pb(II) and Cu(II) from aqueous solution. The results showed that foitite can readily remove heavy metal ions from aqueous solution. The data shows that the metal uptake for Pb(II) increases rapidly, accounting for 74.47% when contact time was 2 min. In contrast to Pb(ll), there was a worse capability for adsorption of Cu(II). In the first 4 min, the metal uptake accounted for 34.7%. According to the analytical results obtained from X-ray diffraction, laser Raman spectrum, X-ray energy dispersive spectrometer, and Zeta potential, the removal mechanism of Pb(II) and Cu(II) by using foitite can be explained as following: firstly, the existence of an electrostatic field around foitite particles can attract heavy metal ions and consequently combine heavy metal ions with OH; secondly, heavy metal ions in the solution are exchanged with the Fe3+ and Al3+ in the foitite.

  6. Detection and Characterization of Ultrafine Fe-as-pb Colloids In Acid Rock Drainage Solution From An Ore Mine

    Zänker, H.; Moll, H.; Richter, W.; Brendler, V.; Hennig, C.; Reich, T.; Kluge, A.; Hüttig, G.

    The processes of sulfide oxidation, water acidification and water mineralization in abandoned ore mines are closely associated with the existence of gangue fissures in the host rock that contain clay minerals and finely-divided sulfide ores. These fissures release highly mineralized, red-colored acid rock drainage (ARD) solutions which can be collected from pools in front of the fissures. ARD solution from an abandoned Zn-Pb-A g mine at Freiberg, Germany, (pH 2.7, sulfate concentration 411 mmol/l, Fe concentration 93,5 mmol/l) was nvestigated by photon correlation i spectroscopy, centrifugation, filtration, ultrafiltration, scanning electron microscopy, ICP-MS, AAS, ion chromatography, TOC analysis and X-ray absorption fine structure (EXAFS) spectroscopy. The question was if this ARD solution contains colloidal particles of the lower nanometer range or if it is particle-free after the common filtration through a 450-nm filter. We found that there is a small amount (about 20 mg/l) of submicron particles of about 100 nm in size. However, the major colloidal component was shown to be a population of ultrafine particles of less than 5 nm. The concentration of these particles is about 1 g/l. They consist of Fe, As and Pb compounds. According to EXAFS spectroscopy, their most probable mineralogical composition is a mixture of hydronium jarosite (HFe3(SO4)2(OH)6) and schwertmannite (ideally Fe8O8(OH)6SO 4). We also observed the formation of a relatively coarse precipitate of a similar mineralogy in the colloidal solution over a time span of months. The ultrafine colloids are obviously an intermediate in the formation process of the long-term precipitate. The arsenic is probably bound onto the ultrafine colloidal particles as a bidentate binuclear ars enate surface complex (inner-sphere complex). However, the transformation of the colloids into the more aggregated long-term precipitate leads to the incorporation of the arsenic into the interior of the iron hydroxy sulfate

  7. Selective ion exchange recovery of rare earth elements from uranium mining solutions

    Rychkov, Vladimir N.; Kirillov, Evgeny V.; Kirillov, Sergey V.; Bunkov, Grigory M.; Mashkovtsev, Maxim A.; Botalov, Maxim S.; Semenishchev, Vladimir S.; Volkovich, Vladimir A.


    A comparative study of rare earth, ferric and aluminum ions ion exchange behavior on gel sulfonated p;olystyrene cation exchange resins depending on the degree of the matrix cross-linking and pH of the solution is presented. Selective ion exchange of REEs is possible at the pH range of 1.5-2.0 using strongly acidic cation exchange resins containing more than 8 % of DVB. The preliminary results of testing the efficiency of REEs recovery from the industrial uranium underground leaching solutions are also presented.

  8. Trends in cyanide solution concentrations and mine operations at gold mines in Nevada and their potential effects on cyanide-related mortality of vertebrates

    US Fish and Wildlife Service, Department of the Interior — Information on trends in practices at gold mines in Nevada using CN extraction technology and its relation to mortality of vertebrates, especially birds, was needed...

  9. Fracture mechanics solution of confined water progressive intrusion height of mining fracture floor

    Lu Haifeng; Yao Duoxi; Shen Dan; Cao Jiyang


    In order to obtain the value of confined water progressive intrusion height of mining fracture floor, the analysis equation was deduced based on the fracture extension theory of the fracture mechanics. Further-more, the influence of some parameters (e.g., advancing distance of working face, water pressure, initial fracture length and its angle) on confined water progressive intrusion height were analyzed. The results indicate that tension-shearing fracture of floor is extended more easily than compression-shearing frac-ture under the same conditions. When floor fracture dip angle is less than 90?, tension-shearing extension occurs more easily on the left edge of the goaf. If fracture dip angle is larger than 90?, it occurs more easily on the right edge of the goaf. The longer the advancing distance of working face is, the greater initial frac-ture length goes; or the larger water pressure is, the greater possibility of tension-shearing extension occurs. The confined water progressive intrusion height reaches the maximum on the edge of the goaf. Field in situ test is consistent with the theoretical analysis result.

  10. Effect of citric acid and bacteria on metal uptake in reeds grown in a synthetic acid mine drainage solution.

    Guo, Lin; Cutright, Teresa J


    The effect of citric acid (CA), rhizosphere acidophilic heterotrophs and/or Fe(II) oxidizing bacteria (Fe(II)OB) on plaque formation and metal accumulation in Phragmites australis L. (common reed) from acid mine drainage (AMD) solution were investigated. Reeds were grown in different hydroponic solutions that contained AMD, CA and/or rhizosphere bacteria for three months. Triplicate experiments were conducted for each experimental condition. Fe(II)OB enhanced the formation of Fe plaque which decreased Fe and Mn uptake in reeds, while it had no significant influence on Al accumulation. CA inhibited the growth of Fe(II)OB, decreased the formation of metal plaque and increased Fe and Mn accumulation in reeds. Acidophilic heterotrophs consumed CA and made the environment more suitable for the growth of Fe(II)OB. Reeds are a good candidate for phytoextraction while CA is a useful chelator to enhance metal uptake in plants. More research may be needed to investigate the influence of CA on microbial community. Further investigations are required to study the effect of CA on phytoremediation of AMD contaminated fields. Copyright © 2014 Elsevier Ltd. All rights reserved.

  11. Web使用挖掘系统研制中的主要问题和应对策略%Key Issues and Solution Strategy in R&D of Web Usage Mining Tools

    张锋; 常会友


    With the rapid development of WWW, Web Usage Mining, as well as Web Mining, has become a hot direction in academic and industrial circles. It is generally believed that there are three tasks, preprocessing, knowledge discovery and pattern analysis, in Web Usage Mining. Though Web Usage Mining is still ranged in the application of traditional data mining techniques, in view of changes in application environment and operated data concerned, some new difficulties have arisen accordingly. This paper takes efforts to address such challenges in the three phases and introduces some proposed solutions simultaneously.

  12. A Study of Analytics Driven Solutions for Customer Targeting and Sales Force Allocation in Data Mining

    Santosh Soni


    Full Text Available OnTARGET and MAP are examples of analytics-based solutions that were designed from the outset to address specific business challenges in the broad area of sales force productivity. Although they address different underlying issues, these solutions implement a common approach that is generally applicable to a broad class of operational challenges. Both solutions rely on rigorously defined data models that integrate all relevant data into a common database. Choices of the data to be included in the data model are driven both by end-user requirements as well as the need for relevant inputs to analytical models. Both business problems have a natural mapping to applications of predictive modeling: predicting the probability to purchase in the case of OnTARGET, and estimating the realistic revenue opportunity in the case of MAP. Delivering the underlying data and the analytic insights directly to frontline decision makers (sales representatives for OnTARGET and sales executives for MAP is crucial to driving business impact, and a significant effort has been invested in developing efficient web-based tools with the necessary supporting infrastructure. In this paper we discuss several aspects and analyze them.

  13. A Study of Analytics Driven Solutions for Customer Targeting and Sales Force Allocation in Data Mining

    Santosh Soni


    Full Text Available OnTARGET and MAP are examples of analytics-based solutions that were designed from the outset to address specific business challenges in the broad area of sales force productivity. Although they address different underlying issues, these solutions implement a common approach that is generally applicable to a broad class of operational challenges. Both solutions rely on rigorously defined data models that integrate all relevant data into a common database. Choices of the data to be included in the data model are driven both by end-user requirements as well as the need for relevant inputs to analytical models. Both business problems have a natural mapping to applications of predictive modeling: predicting the probability to purchase in the case of OnTARGET, and estimating the realistic revenue opportunity in the case of MAP. Delivering the underlying data and the analytic insights directly to frontline decision makers (sales representatives for OnTARGET and sales executives for MAP is crucial to driving business impact, and a significant effort has been invested in developing efficient web-based tools with the necessary supporting infrastructure. In this paper we discuss several aspects and analyze them.

  14. Fate of process solution cyanide and nitrate at three nevada gold mines inferred from stable carbon and nitrogen isotope measurements

    Johnson, C.A.; Grimes, D.J.; Rye, R.O.


    Stable isotope methods have been used to identify the mechanisms responsible for cyanide consumption at three heap-leach operations that process Carlin-type gold ores in Nevada, U.S.A. The reagent cyanide had ??15N values ranging from -5 to -2??? and ??13C values from -60 to -35???. The wide ??13C range reflects the use by different suppliers of isotopically distinct natural-gas feedstocks and indicates that isotopes may be useful in environmental studies where there is a need to trace cyanide sources. In heap-leach circuits displaying from 5 to 98% consumption of cyanide, barren-solution and pregnant-solution cyanide were isotopically indistinguishable. The similarity is inconsistent with cyanide loss predominantly by HCN offgassing (a process that in laboratory experiments caused substantial isotopic changes), but it is consistent with cyanide retention within the heaps as solids, a process that caused minimal isotopic changes in laboratory simulations, or with cyanide oxidation, which also appears to cause minimal changes. In many pregnant solutions cyanide was carried entirely as metal complexes, which is consistent with ferrocyanides having precipitated or cyanocomplexes having been adsorbed within the heaps. It is inferred that gaseous cyanide emissions from operations of this type are less important than has generally been thought and that the dissolution or desorption kinetics of solid species is an important control on cyanide elution when the spent heaps undergo rinsing. Nitrate, nitrite and ammonium had ??15N values of 1-16???. The data reflect isotopic fractionation during ammonia offgassing or denitrification of nitrate - particularly in reclaim ponds - but do not indicate the extent to which nitrate is derived from cyanide or from explosive residues. ?? The Institution of Mining and Metallurgy 2000.

  15. Data mining spacecraft telemetry: towards generic solutions to automatic health monitoring and status characterisation

    Royer, P.; De Ridder, J.; Vandenbussche, B.; Regibo, S.; Huygen, R.; De Meester, W.; Evans, D. J.; Martinez, J.; Korte-Stapff, M.


    We present the first results of a study aimed at finding new and efficient ways to automatically process spacecraft telemetry for automatic health monitoring. The goal is to reduce the load on the flight control team while extending the "checkability" to the entire telemetry database, and provide efficient, robust and more accurate detection of anomalies in near real time. We present a set of effective methods to (a) detect outliers in the telemetry or in its statistical properties, (b) uncover and visualise special properties of the telemetry and (c) detect new behavior. Our results are structured around two main families of solutions. For parameters visiting a restricted set of signal values, i.e. all status parameters and about one third of all the others, we focus on a transition analysis, exploiting properties of Poincare plots. For parameters with an arbitrarily high number of possible signal values, we describe the statistical properties of the signal via its Kernel Density Estimate. We demonstrate that this allows for a generic and dynamic approach of the soft-limit definition. Thanks to a much more accurate description of the signal and of its time evolution, we are more sensitive and more responsive to outliers than the traditional checks against hard limits. Our methods were validated on two years of Venus Express telemetry. They are generic for assisting in health monitoring of any complex system with large amounts of diagnostic sensor data. Not only spacecraft systems but also present-day astronomical observatories can benefit from them.

  16. Mining the Volatilomes of Plant-Associated Microbiota for New Biocontrol Solutions.

    Bailly, Aurélien; Weisskopf, Laure


    Microbial lifeforms associated with land plants represent a rich source for crop growth- and health-promoting microorganisms and biocontrol agents. Volatile organic compounds (VOCs) produced by the plant microbiota have been demonstrated to elicit plant defenses and inhibit the growth and development of numerous plant pathogens. Therefore, these molecules are prospective alternatives to synthetic pesticides and the determination of their bioactivities against plant threats could contribute to the development of control strategies for sustainable agriculture. In our previous study we investigated the inhibitory impact of volatiles emitted by Pseudomonas species isolated from a potato field against the late blight-causing agent Phytophthora infestans. Besides the well-documented emission of hydrogen cyanide, other Pseudomonas VOCs impeded P. infestans mycelial growth and sporangia germination. Current advances in the field support the emerging concept that the microbial volatilome contains unexploited, eco-friendly chemical resources that could help select for efficient biocontrol strategies and lead to a greener chemical disease management in the field.

  17. The Application of Microbe in the Solution Mining of Copper Ore%微生物在铜矿溶浸开采中的应用

    孙业志; 吴爱祥; 黎剑华


    微生物浸矿技术开采低品位、复杂和难选铜矿,近几十年来,在很多国家和地区得到了应用和发展。阐述了铜矿溶浸开采中所用细菌的种类和培养方法,细菌浸出的机理,生物浸出过程数学模型和影响浸出的因素。%Microbe solution mining technology for low grade,complicated and refractory copper ore has been applied and developed in many countries and regions in recent decades.The bacteria types and their culture,the mechanism of biological leaching,the mathematical model of leaching processing and the factors influencing the leaching involved in the solution mining of copper ore are described.

  18. Evaluation of groundwater pollution in a mining area using analytical solution: a case study of the Yimin open-pit mine in China

    Li, Tianxin; Li, Li; Song, Hongqing; Meng, Linglong; Zhang, Shuli; Huang, Gang


    Introduction This study focused on using analytical and numerical models to develop and manage groundwater resources, and predict the effects of management measurements in the groundwater system. Movement of contaminants can be studied based on groundwater flow characteristics. This study can be used for prediction of ion concentration and evaluation of groundwater pollution as the theoretical basis. Case description The Yimin open-pit mine is located in the northern part of the Inner Mongoli...

  19. Data—mining massive real—time data in a power plant:challenges,problems and solutions

    陈坚红; 任浩仁; 等


    Nowadays,the scale of data nomally stored in a database collected by Data Acquisition system (DAS) or Distributed Control System(DCS) in a power plant is becoming larger and larger,However there are abundant valuable knowledge hidden behind them.It will be beyond people's capacity to analyze and understand these data stored in such a scale databased.Fortunately data-mining techniques are arising at the historic moment.In this paper,we explain the basic concept and general knowledge of data-mining;analyze the characteristics and research method of data-mining;give some typical applications of data-mining system based on power plant real-time database on intranet.

  20. Measuring Dynamic and Kinetic Information in the Previously Inaccessible Supra-tc Window of Nanoseconds to Microseconds by Solution NMR Spectroscopy

    Donghan Lee


    Full Text Available Nuclear Magnetic Resonance (NMR spectroscopy is a powerful tool that has enabled experimentalists to characterize molecular dynamics and kinetics spanning a wide range of time-scales from picoseconds to days. This review focuses on addressing the previously inaccessible supra-τc window (defined as τc < supra-τc < 40 μs; in which τc is the overall tumbling time of a molecule from the perspective of local inter-nuclear vector dynamics extracted from residual dipolar couplings (RDCs and from the perspective of conformational exchange captured by relaxation dispersion measurements (RD. The goal of the first section is to present a detailed analysis of how to extract protein dynamics encoded in RDCs and how to relate this information to protein functionality within the previously inaccessible supra-τc window. In the second section, the current state of the art for RD is analyzed, as well as the considerable progress toward pushing the sensitivity of RD further into the supra-τc scale by up to a factor of two (motion up to 25 ms. From the data obtained with these techniques and methodology, the importance of the supra-τ c scale for protein function and molecular recognition is becoming increasingly clearer as the connection between motion on the supra-τc scale and protein functionality from the experimental side is further strengthened with results from molecular dynamics simulations.

  1. 水溶采矿区钻孔涌水治理对策%Countermeasures for Water Gushing in Drilling Solution Mining District

    唐孟龙; 黄敦刚; 李政; 张则


    Solution mining brine uncon trolled pours out of the ground which brings serious results to the mining and the surrounding environment. Through several typical examples, this paper analyzes and concludes the water gushing causes and prevention measures in different situations which is of reference for colleagues.%水溶采矿溶采卤水不受控制的涌出地面,将给矿山开采和周边环境带来严重后果。本文通过几个典型实例,对不同情况下的涌水原因和预防处理措施进行了分析总结,供同行们借鉴参考。

  2. Data mining

    Gorunescu, Florin


    The knowledge discovery process is as old as Homo sapiens. Until some time ago, this process was solely based on the 'natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since 'knowledge is power'. The goal of this book is to provide, in a friendly way

  3. Applied Geochemistry Special Issue on Environmental geochemistry of modern mining

    Seal, Robert R.; Nordstrom, D. Kirk


    Environmental geochemistry is an integral part of the mine-life cycle, particularly for modern mining. The critical importance of environmental geochemistry begins with pre-mining baseline characterization and the assessment of environmental risks related to mining, continues through active mining especially in water and waste management practices, and culminates in mine closure. The enhanced significance of environmental geochemistry to modern mining has arisen from an increased knowledge of the impacts that historical and active mining can have on the environment, and from new regulations meant to guard against these impacts. New regulations are commonly motivated by advances in the scientific understanding of the environmental impacts of past mining. The impacts can be physical, chemical, and biological in nature. The physical challenges typically fall within the purview of engineers, whereas the chemical and biological challenges typically require a multidisciplinary array of expertise including geologists, geochemists, hydrologists, microbiologists, and biologists. The modern mine-permitting process throughout most of the world now requires that potential risks be assessed prior to the start of mining. The strategies for this risk assessment include a thorough characterization of pre-mining baseline conditions and the identification of risks specifically related to the manner in which the ore will be mined and processed, how water and waste products will be managed, and what the final configuration of the post-mining landscape will be.In the Fall 2010, the Society of Economic Geologists held a short course in conjunction with the annual meeting of the Geological Society of America in Denver, Colorado (USA) to examine the environmental geochemistry of modern mining. The intent was to focus on issues that are pertinent to current and future mines, as opposed to abandoned mines, which have been the focus of numerous previous short courses. The geochemical

  4. International mining forum 2004, new technologies in underground mining, safety in mines proceedings

    Jerzy Kicki; Eugeniusz Sobczyk (eds.)


    The book comprises technical papers that were presented at the International Mining Forum 2004. This event aims to bring together scientists and engineers in mining, rock mechanics, and computer engineering, with a view to explore and discuss international developments in the field. Topics discussed in this book are: trends in the mining industry; new solutions and tendencies in underground mines; rock engineering problems in underground mines; utilization and exploitation of methane; prevention measures for the control of rock bursts in Polish mines; and current problems in Ukrainian coal mines.

  5. Saisonal heat storage in mine caverns. Concepts and technical solutions. Second technical report. Saisonal heat storage of solar low temperature heat in mines. Solar mining; Saisonale Waermespeicherung in Grubenraeumen. Konzepte und technische Loesungen. 2. Technischer Fachbericht. Saisonale Speicherung solarer Niedertemperaturwaerme in Bergwerken. Solarenergiebergbau

    Eikmeier, B.; Mohr, M.; Unger, H.


    The Second Technical Report of the project `Saisonal Storage of Solar Low Temperature Heat in Mines` describes different concepts to realize seasonal storage in mines and suitable district heat systems. The different storage designs and concepts are presented and evaluated in detail. The fundamental differences between the use of a tunnel or a shaft are discussed as well as the storage filling with a fluid or a mineral material. Technical solutions for the integration of a seasonal storage in mines are examined. Different solutions for storage sealing stand for choice. It is shown that the use of air-placed concrete represents a particularly suitable method due to the cost advantages and the flexible operation of the procedure compared with other seal systems. An exemplary system design leads to specific investment costs of 115 DM/m{sup 3} to 300 DM/m{sup 3} for the saisonal storage depending on the boundary conditions (tightness of the surrounding rock, use of available pipework etc.). The latter amount equals the height of the costs payed for the concrete underground tanks in Hamburg-Bramfeld and Friedrichshafen. It is shown that the costs for the use of mines for saisonal storage is comparable to those of existing systems at least; in favorable cases definitely lower costs may be achievable. In any case, a specific evaluation, taking account of local boundary conditions and circumstances, is necessay. On the basis of the boundary conditions below and the situation above ground, many locations in the Ruhr area were estimated concerning their suitability for this project. Favorable locations could be found within almost all coal industry areas. The plan for house buildings at these locations is suitable for the application of a district heat network. Although the examination of seasonal heat storage in mines is not concluded up to now, the presently achieved information indicates very positive results in all sections (i.e. investment costs, technical feasibility

  6. Scalable Frequent Subgraph Mining

    Abdelhamid, Ehab


    A graph is a data structure that contains a set of nodes and a set of edges connecting these nodes. Nodes represent objects while edges model relationships among these objects. Graphs are used in various domains due to their ability to model complex relations among several objects. Given an input graph, the Frequent Subgraph Mining (FSM) task finds all subgraphs with frequencies exceeding a given threshold. FSM is crucial for graph analysis, and it is an essential building block in a variety of applications, such as graph clustering and indexing. FSM is computationally expensive, and its existing solutions are extremely slow. Consequently, these solutions are incapable of mining modern large graphs. This slowness is caused by the underlying approaches of these solutions which require finding and storing an excessive amount of subgraph matches. This dissertation proposes a scalable solution for FSM that avoids the limitations of previous work. This solution is composed of four components. The first component is a single-threaded technique which, for each candidate subgraph, needs to find only a minimal number of matches. The second component is a scalable parallel FSM technique that utilizes a novel two-phase approach. The first phase quickly builds an approximate search space, which is then used by the second phase to optimize and balance the workload of the FSM task. The third component focuses on accelerating frequency evaluation, which is a critical step in FSM. To do so, a machine learning model is employed to predict the type of each graph node, and accordingly, an optimized method is selected to evaluate that node. The fourth component focuses on mining dynamic graphs, such as social networks. To this end, an incremental index is maintained during the dynamic updates. Only this index is processed and updated for the majority of graph updates. Consequently, search space is significantly pruned and efficiency is improved. The empirical evaluation shows that the

  7. Mining Method

    Kim, Young Shik; Lee, Kyung Woon; Kim, Oak Hwan; Kim, Dae Kyung [Korea Institute of Geology Mining and Materials, Taejon (Korea, Republic of)


    The reducing coal market has been enforcing the coal industry to make exceptional rationalization and restructuring efforts since the end of the eighties. To the competition from crude oil and natural gas has been added the growing pressure from rising wages and rising production cost as the workings get deeper. To improve the competitive position of the coal mines against oil and gas through cost reduction, studies to improve mining system have been carried out. To find fields requiring improvements most, the technologies using in Tae Bak Colliery which was selected one of long running mines were investigated and analyzed. The mining method appeared the field needing improvements most to reduce the production cost. The present method, so-called inseam roadway caving method presently is using to extract the steep and thick seam. However, this method has several drawbacks. To solve the problems, two mining methods are suggested for a long term and short term method respectively. Inseam roadway caving method with long-hole blasting method is a variety of the present inseam roadway caving method modified by replacing timber sets with steel arch sets and the shovel loaders with chain conveyors. And long hole blasting is introduced to promote caving. And pillar caving method with chock supports method uses chock supports setting in the cross-cut from the hanging wall to the footwall. Two single chain conveyors are needed. One is installed in front of chock supports to clear coal from the cutting face. The other is installed behind the supports to transport caved coal from behind. This method is superior to the previous one in terms of safety from water-inrushes, production rate and productivity. The only drawback is that it needs more investment. (author). 14 tabs., 34 figs.

  8. Geochemical processes and the effects of natural organic solutes on the solubility of selenium in coal-mine backfill samples from the Powder River basin, Wyoming

    See, R.B.; Reddy, K.J.; Vance, G.F.; Fadlelmawla, A.A.; Blaylock, M.J.


    Geochemical processes and the effects of natural organic solutes on the solubility of selenium in coal-mine backfill aquifers were investigated. Backfill and ground-water samples were collected at coal mines in the Powder River Basin, Wyoming. Backfill was generally dominated by aluminum (14,400 to 49,000 mg/kg (milligrams per kilogram)), iron (3,330 to 23,200 mg/kg), and potassium (7,950 to 18,000 mg/kg). Backfill saturated-paste selenium concentrations ranged from 1 to 156 mg/kg (microsiemens per kilogram). Ground-water total selenium concentrations ranged from 3 to 125 mg/L. Dissolved organic carbon in all ground-water samples was dominated by hydrophobic and hydrophilic acids (38 to 84 percent). Selenite sorption/desorption experiments were conducted using background solutions of distilled-deionized water, 0.1 molar calcium chloride, and isolated hydrophobic and hydrophilic acids. Selenite sorption was larger when 0.1 molar calcium chloride was used. The addition of hydrophilic acid decreased selenite sorption more than the addition of hydrophobic acids. Geochemical modelling was used to predict the solid phases controlling dissolved selenium concentrations and to evaluate the effects of dissolved organic carbon on selenium solubility. Results suggested that 55 to 90 percent of selenium in backfill precipitation/dissolution extracts was dominated by magnesium selenate ion pairs. Dissolved organic carbon had little effect on selenium speciation. A redox chamber was constructed to control Eh and pH in water and backfill-core sample suspensions. The response of selenite and selenate in water samples to redox conditions did not follow thermodynamic predictions. Reduction of selenate in water samples did not occur at any of the redox levels tested.

  9. Detection and discrimination of nonmetallic land mines

    Donskoy, Dmitri M.


    This paper is further development of the nonlinear vibro- acoustic technique, first presented at the previous SPIE conference on Detection and Remediation Technologies for Mines and Mineline Targets, Orlando '98. The present paper discusses the physical/mathematical model and experimental result of detection and discrimination of buried land mines. The mathematical model based on simplified 'mass-spring' approach. The effective spring has a nonlinear stiffness due to a nonlinear boundary condition at the soil-mine interface. Resulting nonlinear equation of motion and its solution in a good agreement with experimental observations. It has been demonstrated numerically and experimentally, that dynamically compliant mine cases exhibit strong nonlinear acoustic response, while less compliant false targets, such as rocks, solid pieces of wood and steel, and etc., behave as dynamically linear systems. The discovered nonlinear phenomenon has been used to develop the nonlinear vibro-acoustic method for land mine detection and discrimination. The experimental studies were performed with real inert plastic and wooden mines under laboratory and field conditions. First, the detection was performed with a contact sensor. Later, the method was tested using remote senors, such as a laser-doppler vibrometer and specially developed microwave vibrometers. These remote sensor demonstrated applicability for the developed nonlinear technique.

  10. Mastering SQL Server 2014 data mining

    Bassan, Amarpreet Singh


    If you are a developer who is working on data mining for large companies and would like to enhance your knowledge of SQL Server Data Mining Suite, this book is for you. Whether you are brand new to data mining or are a seasoned expert, you will be able to master the skills needed to build a data mining solution.

  11. Effect of citric acid and rhizosphere bacteria on metal plaque formation and metal accumulation in reeds in synthetic acid mine drainage solution.

    Guo, Lin; Cutright, Teresa J


    Many of regions in the world have been affected by acid mine drainage (AMD). The study assessed the effect of rhizosphere bacteria and citric acid (CA) on the metal plaque formation and heavy metal uptake in Phragmites australis cultured in synthetic AMD solution. Mn and Al plaque were not formed, but Fe plaque which was mediated by rhizosphere iron oxidizing bacteria (Fe(II)OB) was observed on the root system of reeds. Fe plaque did not significantly influence the uptake of Fe, Al and Mn into tissues of reeds. CA significantly (p<0.01) inhibited the growth of Fe(II)OB and decreased the formation of Fe plaque. CA also significantly improved (p<0.05) the accumulation of Fe, Mn and Al in all the tissues of reeds. Roots and rhizomes were the main organs to store metals. The roots contained 0.08±0.01mg/g Mn, 2.39±0.26mg/g Fe and 0.19±0.02mg/g Al, while the shoots accumulated 0.04±0.00mg/g Mn, 0.20±0.01mg/g Fe, 0.11±0.00mg/g Al in reeds cultured in solution amended with 2.101g/l CA and without inoculation of rhizosphere bacteria. Copyright © 2014 Elsevier Inc. All rights reserved.

  12. Man-Made Major Hazards Like Earthquake or Explosion; Case Study, Turkish Mine Explosion (13 May 2014.

    Jamileh Vasheghani Farahani


    Full Text Available In all over the world, mining is considered as a high-risk activity that is pregnant with serious disasters not only for miners, engineers, and other people into it, but also for people who live near the mines. In this article, our main purpose is to examine some major mine disasters and safety in mines and the case study is a coal mine in Turkey. Safety in mines is one of the most important issues that need attention. Therefore, it is suggested that existing deficiencies in mines should be removed by continuous monitoring in all devices, equipments, control of Methane and safe separation of coal from a mine. Moreover, we recommend that early warning systems should be installed to alert some explosions, fires and other dangerous events to the fire departments, hospitals, Red Crescent and other major reliefs. Experiences from previous events in mines can help managers and miners. With some plans and projects related to disasters in mines and solution for them, some diseases such as black lung disease or other problems in mines such as carbon monoxide poisoning can forestall a danger. Before Mine owners begin their activity, they must research about the environmental and social effects of their activities. Therefore, they should identify some important hazards and determine some essential tasks to remove them or control risks via collaboration with other scientists.

  13. Solutions Network Formulation Report. Landsat Data Continuity Mission Simulated Data Products for Bureau of Land Management and Environmental Protection Agency Abandoned Mine Lands Decision Support

    Estep, Leland


    Presently, the BLM (Bureau of Land Management) has identified a multitude of abandoned mine sites in primarily Western states for cleanup. These sites are prioritized and appropriate cleanup has been called in to reclaim the sites. The task is great in needing considerable amounts of agency resources. For instance, in Colorado alone there exists an estimated 23,000 abandoned mines. The problem is not limited to Colorado or to the United States. Cooperation for reclamation is sought at local, state, and federal agency level to aid in identification, inventory, and cleanup efforts. Dangers posed by abandoned mines are recognized widely and will tend to increase with time because some of these areas are increasingly used for recreation and, in some cases, have been or are in the process of development. In some cases, mines are often vandalized once they are closed. The perpetrators leave them open, so others can then access the mines without realizing the danger posed. Abandoned mine workings often fill with water or oxygen-deficient air and dangerous gases following mining. If the workings are accidentally entered into, water or bad air can prove fatal to those underground. Moreover, mine residue drainage negatively impacts the local watershed ecology. Some of the major hazards that might be monitored by higher-resolution satellites include acid mine drainage, clogged streams, impoundments, slides, piles, embankments, hazardous equipment or facilities, surface burning, smoke from underground fires, and mine openings.

  14. Mining Deployment Optimization

    Čech, Jozef


    The deployment problem, researched primarily in the military sector, is emerging in some other industries, mining included. The principal decision is how to deploy some activities in space and time to achieve desired outcome while complying with certain requirements or limits. Requirements and limits are on the side constraints, while minimizing costs or maximizing some benefits are on the side of objectives. A model with application to mining of polymetallic deposit is presented. To obtain quick and immediate decision solutions for a mining engineer with experimental possibilities is the main intention of a computer-based tool. The task is to determine strategic deployment of mining activities on a deposit, meeting planned output from the mine and at the same time complying with limited reserves and haulage capacities. Priorities and benefits can be formulated by the planner.

  15. Longwall mining



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


    Maria de Hoyos Guajardo, Ph.D. Candidate, M.Sc., B.Eng.


    Full Text Available The theory that is presented below aims to conceptualise how a group of undergraduate students tackle non-routine mathematical problems during a problem-solving course. The aim of the course is to allow students to experience mathematics as a creative process and to reflect on their own experience. During the course, students are required to produce a written ‘rubric’ of their work, i.e., to document their thoughts as they occur as well as their emotionsduring the process. These ‘rubrics’ were used as the main source of data.Students’ problem-solving processes can be explained as a three-stage process that has been called ‘solutioning’. This process is presented in the six sections below. The first three refer to a common area of concern that can be called‘generating knowledge’. In this way, generating knowledge also includes issues related to ‘key ideas’ and ‘gaining understanding’. The third and the fourth sections refer to ‘generating’ and ‘validating a solution’, respectively. Finally, once solutions are generated and validated, students usually try to improve them further before presenting them as final results. Thus, the last section deals with‘improving a solution’. Although not all students go through all of the stages, it may be said that ‘solutioning’ considers students’ main concerns as they tackle non-routine mathematical problems.

  17. A sequential tree approach for incremental sequential pattern mining



    ‘‘Sequential pattern mining’’ is a prominent and significant method to explore the knowledge and innovation from the large database. Common sequential pattern mining algorithms handle static databases.Pragmatically, looking into the functional and actual execution, the database grows exponentially thereby leading to the necessity and requirement of such innovation, research, and development culminating into the designing of mining algorithm. Once the database is updated, the previous mining result will be incorrect, and we need to restart and trigger the entire mining process for the new updated sequential database. To overcome and avoid the process of rescanning of the entire database, this unique system of incremental mining of sequential pattern is available. The previous approaches, system, and techniques are a priori-based frameworks but mine patterns is an advanced and sophisticated technique giving the desired solution. We propose and incorporate an algorithm called STISPM for incremental mining of sequential patterns using the sequence treespace structure. STISPM uses the depth-first approach along with backward tracking and the dynamic lookahead pruning strategy that removes infrequent and irregular patterns. The process and approach from the root node to any leaf node depict a sequential pattern in the database. The structural characteristic of the sequence tree makes it convenient and appropriate for incremental sequential pattern mining. The sequence tree also stores all the sequential patterns with its count and statistics, so whenever the support system is withdrawn or changed, our algorithm using frequent sequence tree as the storage structure can find and detect all the sequential patternswithout mining the database once again.

  18. A Survey of Association Rule Mining Using Genetic Algorithm

    Anubha Sharma


    Full Text Available Data mining is the analysis step of the "Knowledge Discovery in Databases" process, or KDD. It is the process that results in the discovery of new patterns in large data sets. It utilizes methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract knowledge from an existing data set and transform it into a human-understandable structure. In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Association rules are usually required to satisfy a user-specified minimum support and a user-specified minimum confidence at the same time. Genetic algorithm (GA is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms, which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. In previous, many researchers have proposed Genetic Algorithms for mining interesting association rules from quantitative data. In this paper we represent a survey of Association Rule Mining Using Genetic Algorithm. The techniques are categorized based upon different approaches. This paper provides the major advancement in the approaches for association rule mining using genetic algorithms.

  19. Data mining in agriculture

    Mucherino, Antonio; Pardalos, Panos M


    Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given. Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, ©2009.

  20. Acid mine drainage

    Bigham, Jerry M.; Cravotta, Charles A.


    Acid mine drainage (AMD) consists of metal-laden solutions produced by the oxidative dissolution of iron sulfide minerals exposed to air, moisture, and acidophilic microbes during the mining of coal and metal deposits. The pH of AMD is usually in the range of 2–6, but mine-impacted waters at circumneutral pH (5–8) are also common. Mine drainage usually contains elevated concentrations of sulfate, iron, aluminum, and other potentially toxic metals leached from rock that hydrolyze and coprecipitate to form rust-colored encrustations or sediments. When AMD is discharged into surface waters or groundwaters, degradation of water quality, injury to aquatic life, and corrosion or encrustation of engineered structures can occur for substantial distances. Prevention and remediation strategies should consider the biogeochemical complexity of the system, the longevity of AMD pollution, the predictive power of geochemical modeling, and the full range of available field technologies for problem mitigation.

  1. Text Mining.

    Trybula, Walter J.


    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  2. Text Mining.

    Trybula, Walter J.


    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  3. Fibre optic sensors for mine hazard detection

    Liu, T; Wang, C; Wei, Y; Zhao, Y; Shang, Y; Wang, Z [Laser Institute of Shandong Academy of Science (China); Huo, D [Shandong Micro-Sensor Photonics Limited, 19 Keyuan Road, Jinan, Shandong province, 250014 (China); Ning, Y, E-mail: [Intelligent Sensor Systems Limited, Rockley Manor, Rockley, Wiltshire (United Kingdom)


    We report the development of a comprehensive safety monitoring solution for coal mines. A number of fibre optic sensors have been developed and deployed for safety monitoring of mine roof integrity and hazardous gases. The FOS-based mine hazard detection system offers unique advantages of intrinsic safety, multi-location and multi-parameter monitoring. They can be potentially used to build expert systems for mine hazard early detection and prevention.

  4. Reuse and Securing of Mining Waste : Need of the hour

    Mehta, Neha; Dino, Giovanna; Ajmone-Marsan, Franco; De Luca, Domenico Antonio


    With recent advancements in technology and rising standards of living the demand for minerals has increased drastically. Increased reliance on mining industry has led to unmanageable challenges of Mining waste generated out of Mining and Quarrying activities. According to Statistics from EuroStat Mining and Quarrying generated 734 million Tons in Europe in 2012 which accounted for 29.19 % of the total waste, becoming second most important sector in terms of waste generation after Construction Industry. Mining waste can be voluminous and/ or chemically active and can cause environmental threats like groundwater pollution due to leaching of pollutants, surface water pollution due to runoffs during rainy season, river and ocean pollution due to intentional dumping of tailings by mining companies. Most of the big mining companies have not adopted policies against dumping of tailings in rivers and oceans. Deep Sea Tailings Placement (DSTP) is creating havoc in remote and pristine environment of deep-sea beds e.g. Bismarck Sea. Furthermore, mining waste is contaminating soil in nearby areas by disturbing soil microbial activity and other physio-chemical and biological properties of soil (e.g. Barruecopardo village - Spain). Mining waste stored in heaps and dams has led to many accidents and on an average, worldwide, there is one major accident in a year involving tailings dams (e.g. Myanmar, Brazil, 2015). Pollution due to tailings is causing local residents to relocate and become 'ecological migrants'. The above issues linked to mining waste makes reuse and securing of mining waste one of the urgent challenge to deal with. The studies done previously on mining show that most of the researches linked with mining waste reuse and securing are very site specific. For instance, the type of recovery method should not only provide environmental clean-up but also economic benefits to promise sustainability of the method. Environmental risk assessment of using mining waste as

  5. Contrast data mining concepts, algorithms, and applications

    Dong, Guozhu


    A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains. Learn from Real Case Studies

  6. LNG fuelling for mine trucks

    Melanson, B.E.; Hodgins, K.B. [Westport Innovations Inc., Vancouver, BC (Canada)


    Diesel-powered mine haul trucks consume large amounts of fuel. The diesel engines provide the trucks with the flexibility to readily move material while optimizing speed and efficiency. However, the high cost for diesel fuel has prompted the need for lower-cost solutions. Since many mining regions have access to low-cost liquefied natural gas (LNG) feedstock through indigenous natural gas resources and coal mine methane, the use of LNG for mine haul trucks offers a solution to lower operating costs. In addition to reducing the reliance on petroleum resources, the use of LNG would also contribute to a reduction in noise, air pollutants, and greenhouse gas emissions. This presentation demonstrated that significant fuel cost savings can be realized in regions where LNG has cost advantage to diesel fuel. High pressure direct injection (HPDI) of natural gas in a compression ignition engine offers the high performance and efficiency characteristics of diesel engines while reducing particulate matter, nitrogen oxides, sulphur oxides and greenhouse gases. HPDI has been demonstrated in on-road Class 8 trucks since 2001 and mine haul trucks are now considered a prime target for implementing change to lower-carbon gaseous fuels. The supply of LNG fuel will be a necessary aspect of the introduction of HPDI to mining. LNG can be transported to mine sites or it can be produced on or near mining operations that have access to methane sources or pipelines. It was concluded that HPDI powered mine trucks offer a safe, economic and environmentally progressive solution for mine operators. 2 figs.

  7. Mines and human casualties: a robotics approach toward mine clearing

    Ghaffari, Masoud; Manthena, Dinesh; Ghaffari, Alireza; Hall, Ernest L.


    An estimated 100 million landmines which have been planted in more than 60 countries kill or maim thousands of civilians every year. Millions of people live in the vast dangerous areas and are not able to access to basic human services because of landmines" threats. This problem has affected many third world countries and poor nations which are not able to afford high cost solutions. This paper tries to present some experiences with the land mine victims and solutions for the mine clearing. It studies current situation of this crisis as well as state of the art robotics technology for the mine clearing. It also introduces a survey robot which is suitable for the mine clearing applications. The results show that in addition to technical aspects, this problem has many socio-economic issues. The significance of this study is to persuade robotics researchers toward this topic and to peruse the technical and humanitarian facets of this issue.

  8. String Mining in Bioinformatics

    Abouelhoda, Mohamed; Ghanem, Moustafa

    Sequence analysis is a major area in bioinformatics encompassing the methods and techniques for studying the biological sequences, DNA, RNA, and proteins, on the linear structure level. The focus of this area is generally on the identification of intra- and inter-molecular similarities. Identifying intra-molecular similarities boils down to detecting repeated segments within a given sequence, while identifying inter-molecular similarities amounts to spotting common segments among two or multiple sequences. From a data mining point of view, sequence analysis is nothing but string- or pattern mining specific to biological strings. For a long time, this point of view, however, has not been explicitly embraced neither in the data mining nor in the sequence analysis text books, which may be attributed to the co-evolution of the two apparently independent fields. In other words, although the word "data-mining" is almost missing in the sequence analysis literature, its basic concepts have been implicitly applied. Interestingly, recent research in biological sequence analysis introduced efficient solutions to many problems in data mining, such as querying and analyzing time series [49,53], extracting information from web pages [20], fighting spam mails [50], detecting plagiarism [22], and spotting duplications in software systems [14].

  9. Environmental Justice and Sustainability Impact Assessment: In Search of Solutions to Ethnic Conflicts Caused by Coal Mining in Inner Mongolia, China

    Lee Liu


    Full Text Available The Chinese government adopted more specific and stringent environmental impact assessment (EIA guidelines in 2011, soon after the widespread ethnic protests against coal mining in Inner Mongolia. However, our research suggests that the root of the ethnic tension is a sustainability problem, in addition to environmental issues. In particular, the Mongolians do not feel they have benefited from the mining of their resources. Existing environmental assessment tools are inadequate to address sustainability, which is concerned with environmental protection, social justice and economic equity. Thus, it is necessary to develop a sustainability impact assessment (SIA to fill in the gap. SIA would be in theory and practice a better tool than EIA for assessing sustainability impact. However, China’s political system presents a major challenge to promoting social and economic equity. Another practical challenge for SIA is corruption which has been also responsible for the failing of EIA in assessing environmental impacts of coal mining in Inner Mongolia. Under the current political system, China should adopt the SIA while continuing its fight against corruption.

  10. Process mining

    van der Aalst, W.M.P.; Rubin, V.; Verbeek, H.M.W.


    Process mining includes the automated discovery of processes from event logs. Based on observed events (e.g., activities being executed or messages being exchanged) a process model is constructed. One of the essential problems in process mining is that one cannot assume to have seen all possible...... behavior. At best, one has seen a representative subset. Therefore, classical synthesis techniques are not suitable as they aim at finding a model that is able to exactly reproduce the log. Existing process mining techniques try to avoid such “overfitting” by generalizing the model to allow for more...

  11. Social big data mining

    Ishikawa, Hiroshi


    Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.

  12. "easyMine" – realistic and systematic mine detection simulation tooltion

    U. Böttger


    Full Text Available Mine detection is to date mainly performed with metal detectors, although new methods for UXO detection are explored worldwide. The main problem for the mine detection to date is, that there exist some ideas of which sensor combinations could yield a high score, but until now there is no systematic analysis of mine detection methods together with realistic environmental conditions to conclude on a physically and technically optimized sensor combination. This gap will be removed by a project “easyMine" (Realistic and systematic Mine Detection Simulation Tool which will result in a simulation tool for optimizing land mine detection in a realistic mine field. The project idea for this software tool is presented, that will simulate the closed chain of mine detection, including the mine in its natural environment, the sensor, the evaluation and application of the measurements by an user. The tool will be modularly designed. Each chain link will be an independent, exchangeable sub- module and will describe a stand alone part of the whole mine detection procedure. The advantage of the tool will be the evaluation of very different kinds of sensor combinations in relation of their real potential for mine detection. Three detection methods (metal detector, GPR and imaging IR-radiometry will be explained to be introduced into the easyMine software tool in a first step. An actual example for land mine detection problem will be presented and approaches for solutions with easyMine will be shown.

  13. Evaluating Water Management Practice for Sustainable Mining

    Xiangfeng Zhang


    Full Text Available To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has provided a solution to aid the identification of more sustainable mine water management practices. The solution includes a conceptual framework for forming a decision hierarchy; an evaluation method for assessing mine water management practices; and a sensitivity analysis in view of different preferences of stakeholders or managers. The solution is applied to a case study of the evaluation of sustainable water management practices in 16 mines located in the Bowen Basin in Queensland, Australia. The evaluation results illustrate the usefulness of the proposed solution. A sensitivity analysis is performed according to preference weights of stakeholders or managers. Some measures are provided for assessing sensitivity of strategy ranking outcomes if the weight of an indicator changes. Finally, some advice is given to improve the mine water management in some mines.

  14. Chopper:Efficient Algorithm for Tree Mining

    Chen Wang; Ming-Sheng Hong; Wei Wang; Bai-Le Shi


    With the development of Internet, frequent pattern mining has been extended to more complex patterns like tree mining and graph mining. Such applications arise in complex domains like bioinformatics, web mining, etc. In this paper, we present a novel algorithm, named Chopper, to discover frequent subtrees from ordered labeled trees. An extensive performance study shows that the newly developed algorithm outperforms TreeMinerV, one of the fastest methods proposed previously, in mining large databases. At the end of this paper,the potential improvement of Chopper is mentioned.

  15. Geotechnical aspects of development over reclaimed former alluvial mining land and ponds in Malaysia

    Yeap, E. B.; Tan, B. K.; Chow, W. S.

    Mining of tin placers in Quaternary alluvium is the main type of mining activity in Peninsular Malaysia over the past hundred years. Worked out mines have left behind a landscape consisting of highly inhomogeneous tailing fill and numerous large and medium size ponds often underlain by thick slurries of fine clay and silt on limestone bedrock. Rapid urbanization around the two main tin mining areas in Malaysia, Kuala Lumpur and Ipoh, has led to the use of this previously mined land for residential, commercial and industrial purposes. Highly irregular karstic limestone bedrock poses major problems for the construction of high-rise buildings requiring piling to bedrock. Soft slime trapped during tailing deposition or during reclamation has caused numerous and often irreparable damage to houses built on former mining land. Characterization studies were undertaken on two ponds for their chemical, physical, mineralogical and engineering properties with the aim of finding a solution to the reclamation of slime filled mine ponds. Environmental considerations favour the slime material to be used as foundation material or as raw material for ceramic or bricks. Increase of the solid content by dewatering constitutes the best option to increase the strength of the slime material so as to make it acceptable as foundation material after further treatment. Studies indicate that a few reagents can be used to successfully dewater the slime. Development of a reclamation technique along this line is being carried out.

  16. Surface Mines, Other - Longwall Mining Panels

    NSGIC Education | GIS Inventory — Coal mining has occurred in Pennsylvania for over a century. A method of coal mining known as Longwall Mining has become more prevalent in recent decades. Longwall...

  17. Coal Mines, Active - Longwall Mining Panels

    NSGIC GIS Inventory (aka Ramona) — Coal mining has occurred in Pennsylvania for over a century. A method of coal mining known as Longwall Mining has become more prevalent in recent decades. Longwall...

  18. Risks and solutions for Chinese mining company investing in Namibia%我国矿业企业在纳米比亚投资面临的风险和对策

    李秀慧; 刘典波


    They are confronted with different kinds of risks to invest in Namibia for Chinese companies. The risks include if they can find valuable mines in the exploration, how to develop the mines, environment protection, the fluctuation of mining products, the deficit of personnel and the accidents. This article gives some solutions for the risks. The companies should reduce the exploration risks by enhancing the theory research, putting the geologist in an important position and optimizing the exploration methods, share the risks by absorbing other companies and the government to invest, protect the environment by strictly regulations, forecast the mining market, increase the treatment of the staff and run the companies with standard regulations. The risks are unavoidable. The companies should try to reduce to the factor of risks and the loss of to get the maximum of profits.%中国矿业企业在纳米比亚投资面临诸多风险.这些风险包括能否找到有价值的矿产资源、找到的矿产资源如何开采、采矿过程中对的环境破坏、矿产品价格波动、人才短缺和安全事故等.本文针对这些风险提出相应的对策.企业应该加强理论研究、重视地质专家在找矿中的作用和优化找矿方法降低勘探风险;引入其他公司参股、政府投资共同分担开发风险;通过严格的环保措施加强对环境的保护;通过超前市场预测避免矿产品价格波动风险;通过利用和培养当地人才并提高员工待遇解决人才缺乏风险;通过正规化管理降低安全事故发生频率.中国企业在纳米比亚矿业投资面临的风险客观存在,只能采取相应对策消除风险因素或降低风险发生后的损失,以实现盈利的最大化.

  19. 盐穴储气库双井造腔技术现状及难点分析%Comprehensive Analysis about Dual Well Solution Mining Technology in Salt Cavern Storages

    周俊驰; 黄孟云; 班凡生; 郑东波


    At present, solution mining in salt cavern mainly adopts the technology of the single well dissolved cavity in our country, but this general technology cannot completely meet the need of salt cavern storage construction in China, especially in the aspects of cavity size, construction cycle, ect.Another technology called dual well opera-tion in solution mining is an effective measure to solve this problem with the advantages of increasing water injection capacity, energy saving, enlarging cavity volume and shortening the period of dissolution.Based on the comprehen-sive analysis of dual well application abroad, this paper points out that dual well technology should address the as-pects of the cavity form design and control, cavity configuration monitoring and process parameters optimization in domestic fields.%目前我国在盐层建库主要采用单井溶腔技术,但常用的单井溶腔技术无论在造腔体积、建库周期等方面均已不能满足我国盐穴储气库建设日益增加的需求,而盐穴储气库双井溶腔技术具有增大注水排量、降低能耗、增大腔体体积、缩短建库周期等优点,因此在综合分析国外盐穴储气库双井溶腔技术及难点的基础上,指出腔体形态设计与控制、腔体形态监测与工艺参数优化等是国内盐穴储气库双井溶腔技术存在的主要问题,并提出了相应的解决措施。

  20. Asteroid mining

    Gertsch, Richard E.


    The earliest studies of asteroid mining proposed retrieving a main belt asteroid. Because of the very long travel times to the main asteroid belt, attention has shifted to the asteroids whose orbits bring them fairly close to the Earth. In these schemes, the asteroids would be bagged and then processed during the return trip, with the asteroid itself providing the reaction mass to propel the mission homeward. A mission to one of these near-Earth asteroids would be shorter, involve less weight, and require a somewhat lower change in velocity. Since these asteroids apparently contain a wide range of potentially useful materials, our study group considered only them. The topics covered include asteroid materials and properties, asteroid mission selection, manned versus automated missions, mining in zero gravity, and a conceptual mining method.

  1. Process mining

    van der Aalst, W.M.P.; Rubin, V.; Verbeek, H.M.W.


    Process mining includes the automated discovery of processes from event logs. Based on observed events (e.g., activities being executed or messages being exchanged) a process model is constructed. One of the essential problems in process mining is that one cannot assume to have seen all possible...... behavior. At best, one has seen a representative subset. Therefore, classical synthesis techniques are not suitable as they aim at finding a model that is able to exactly reproduce the log. Existing process mining techniques try to avoid such “overfitting” by generalizing the model to allow for more...... behavior. This generalization is often driven by the representation language and very crude assumptions about completeness. As a result, parts of the model are “overfitting” (allow only for what has actually been observed) while other parts may be “underfitting” (allowfor much more behavior without strong...

  2. Mining Review



    In 2012, the estimated value of mineral production increased in the United States for the third consecutive year. Production and prices increased for most industrial mineral commodities mined in the United States. While production for most metals remained relatively unchanged, with the notable exception of gold, the prices for most metals declined. Minerals remained fundamental to the U.S. economy, contributing to the real gross domestic product (GDP) at several levels, including mining, processing and manufacturing finished products. Minerals’ contribution to the GDP increased for the second consecutive year.

  3. Extracting geothermal heat from mines

    Ednie, H.


    In response to environmental concerns, research is underway to find alternative methods of generating energy, including the use of low-temperature geothermal heat from mines. Geothermal energy is the energy produced internally by radiogenic heat production and long-term cooling of the planet. Various applications can be used from this energy, including direct use for heating and electricity generation. The Earth/Mine Energy Resource Group (EMERG) at McGill University has worked on the development of alternative energies from both active and abandoned surface and underground mines. Geothermal heat from mines was once regarded as a benign energy source, particularly when compared to nuclear, oil, and coal. However, there is high potential for ground heat to be used as a sustainable solution to some energy requirements. EMERG's objective is to integrate alternate energy during the life of the mine, as well as after mine closure. Geothermal heat from mines will enable local communities to use this inexpensive source of energy for district heating of buildings, for drying food products, or for mining applications, such as heating deep oil sands deposits. Active or abandoned mines are ideal locations for geothermal systems. The first 100 metres underground is well suited for supply and storage of thermal energy. Due to the steady temperatures deep underground, geothermal sources are excellent fuels for heating and cooling systems. This article presented an example of a geothermal heat pump system used in Springhill Nova Scotia where Rock Can Am Ltd. is using floodwater from abandoned mines to heat and cool the company's facility at the site. The system produces annual savings of 600,000 kWh or $45,000 compared to conventional systems, proving that geothermal energy from abandoned or existing mines is a viable alternative energy source. Further efforts could result in it becoming a more effective and attractive option for the reclamation of abandoned mines

  4. Study on development & review aided system for mining rights set solution%矿业权设置方案编审辅助系统的应用研究

    易继宁; 薛春纪; 王全明; 张福良; 靳松; 李晓宇; 王永志


    Mining rights setting is an effective method to carry out the development of mineral resource in the national key exploration area .In the process of macro planning of mining rights ,the rationality of each mining right will be thought about as much as possible in order to guarantee the final owner ’s legitimate interests .This paper analyzes the business requirement of goal system and spatial analysis methods of combining quantitative and qualitative systematically ..It introduces the aided system for mining rights which be designed and implemented based on GIS .Those basic data such as geographic data ,geological data , geophysical data ,geochemical data ,mineral data and remote sensing data provides strong support for this system .This system can call the functional interfaces of GIS components to implement analysis function flexible .The setting for the proposed prospecting and the proposed mining rights within the key exploration area will be completed quickly by the interactive operations of aided system with ‘What you see is what you gain’ feature .The system is suitable to all aspects of the mining rights set include the development and review phase .At last ,quantitative and qualitative analysis will compose a comprehensive analysis result for mining rights set .The solutions of second 31 national key exploration areas have already completed using this system .The practice result shows that the system does not ensure the quality of final data ,but also improve the efficiency of work greatly .Now the system has been used in the compose works for the solution of third batch’s key exploration area .And some provinces begin to use it to do a variety of mining rights setting with different level within their jurisdiction .%矿业权设置是落实国家整装勘查区内矿产资源勘查开发的一个有效手段。为了保证矿业权最终拥有者的合法权益,在进行矿业权的宏观规划时,应尽可能保证每一个矿业权

  5. Testing and modeling the influence of reclamation and control methods for reducing nonpoint mercury emissions associated with industrial open pit gold mines.

    Miller, Matthieu B; Gustin, Mae S


    Industrial gold mining is a significant source of mercury (Hg) emission to the atmosphere. To investigate ways to reduce these emissions, reclamation and dust and mercury control methods used at open pit gold mining operations in Nevada were studied in a laboratory setting. Using this information along with field data, and building off previous work, total annual Hg emissions were estimated for two active gold mines in northern Nevada. Results showed that capping mining waste materials with a low-Hg substrate can reduce Hg emissions from 50 to nearly 100%. The spraying of typical dust control solutions often results in higher Hg emissions, especially as materials dry after application. The concentrated application of a dithiocarbamate Hg control reagent appears to reduce Hg emissions, but further testing mimicking the actual distribution of this chemical within an active leach solution is needed to make a more definitive assessment.

  6. Applications of Radio Frequency Identification (RFID) in Mining Industries

    Khairul Nizam Mahmad, Mohd; Z, Mohd Remy Rozainy M. A.; Baharun, Norlia


    RFID technology has recently become a dream of many companies or organizations because of its strategic potential in transforming mining operations. Now is the perfect time, for RFID technology arise as the next revolution in mining industries. This paper will review regarding the application of RFID in mining industries and access knowledge regarding RFID technology and overseen the opportunity of this technology to become an importance element in mining industries. The application of Radio-Frequency Identification (RFID) in mining industries includes to control of Personal Protective Equipment (PPE), control of personnel to access mining sites and RFID solutions for tracking explosives.

  7. Text Mining for Protein Docking.

    Varsha D Badal


    Full Text Available The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling. The accumulated data on experimentally determined structures transformed structure prediction of proteins and protein complexes. Instead of exploring the enormous search space, predictive tools can simply proceed to the solution based on similarity to the existing, previously determined structures. A similar major paradigm shift is emerging due to the rapidly expanding amount of information, other than experimentally determined structures, which still can be used as constraints in biomolecular structure prediction. Automated text mining has been widely used in recreating protein interaction networks, as well as in detecting small ligand binding sites on protein structures. Combining and expanding these two well-developed areas of research, we applied the text mining to structural modeling of protein-protein complexes (protein docking. Protein docking can be significantly improved when constraints on the docking mode are available. We developed a procedure that retrieves published abstracts on a specific protein-protein interaction and extracts information relevant to docking. The procedure was assessed on protein complexes from Dockground ( The results show that correct information on binding residues can be extracted for about half of the complexes. The amount of irrelevant information was reduced by conceptual analysis of a subset of the retrieved abstracts, based on the bag-of-words (features approach. Support Vector Machine models were trained and validated on the subset. The remaining abstracts were filtered by the best-performing models, which decreased the irrelevant information for ~ 25% complexes in the dataset. The extracted constraints were incorporated in the docking protocol and tested on the Dockground unbound

  8. Planning the Mine and Mining the Plan

    Boucher, D. S.; Chen, N.


    Overview of best practices used in the terrestrial mining industry when developing a mine site towards production. The intent is to guide planners towards an effective and well constructed roadmap for the development of ISRU mining activities. A strawman scenario is presented as an illustration for lunar mining of water ice.

  9. Hazard monitoring in mines using fibre optic sensors

    Liu, T.; Wang, C.; Wei, Y.; Zhao, Y.; Huo, D.; Shang, Y.; Wang, Z.; Ning, Y.


    We report the development of a comprehensive safety monitoring solution for coal mines. A number of fibre optic sensors have been developed and deployed for safety monitoring of mine roof integrity and hazardous gases. The FOS-based mine hazard detection system offers unique advantages of intrinsic safety, multi-location and multi-parameter monitoring. They can be potentially used to build expert systems for mine hazard early detection and prevention.

  10. [WEB-based medical data mining integration].

    Yao, Gang; Zhang, Xiaoxiang; Wang, Huoming


    An integration of medical data management system based on WEB and data mining tool is reportedly in this paper. In the application process of this system, web-based medical data mining user sends requests to the server by using client browser with http protocol, the commands are then received by the server and the server calls the data mining tools remote object for data processing, and the results are sent back to the customer browser through the http protocol and presented to the user. In order to prove the feasibility of the proposed solution, the test is done under the NET platform by using SAS and SPSS, and the detail steps are given. By the practical test, it was proved that the web-based data mining tool integration solutions proposed in this paper would have its broad prospects for development, which would open up a new route to the development of medical data mining.

  11. Fluorescent halite from Bochnia salt mine, Poland

    Waluś, Edyta; Głąbińska, Dobrochna; Puławska, Aleksandra; Flasza, Michał; Manecki, Maciej


    The photoluminescence of selected halite crystals from Bochnia Salt Mine (Bochnia, Poland) were discovered in 2014. This is a result of contemporary precipitation from percolating waters. In most cases the fluorescence is observed in whole crystals or in zones of crystals. Only clear parts of transparent crystals are orange-red fluorescent in short UV light (320 nm). Chemical microanalysis by scanning electron microscopy/energy dispersive spectroscopy SEM/EDS indicates that this is activated by Mn and Pb. The concentration of Mn is similar in fluorescent and inactive salt and equals to 0.13 - 0.27 wt.%. The concentration of Pb, however, averages to 3.8 wt.% in fluorescent parts reaching only 1.9 wt.% elsewhere. There is no difference in the unit cell parameters determined by powder X-ray diffraction. The percolating waters contain some Mn (ca. 3.9 ppm) but the concentration of Pb is below the detection limits. The experiments of precipitation of halite from the solutions containing various concentrations of Mn and Pb were performed to simulate this fenomenon using solutions containing: 1 mg Pb/L and 80 mg Mn/L; 1 mg Pb/L and 0.8 mg Mn/L; 1 mg Pb/L and 0.6 mg Mn/L; and 0 mg Pb/L and 80 mg Mn/L. The results indicate that fluorescence is apparent when halite forms from solutions containing more than 0.8 mg Mn/L and more than 1 mg Pb/L. The presence of lead as co-activator is necessary requirement: Mn alone does not activate the fluorescence of halite. This is in accordance with the results of previous work (Murata et al., 1946; Sidike et al., 2002). Rock salt in the mine does not show fluorescence at all. Fluorescence of contemporary salt in Bochnia salt mine is a result of mining activity and slight, sporadic contamination with traces of Mn and Pb. This work is partially funded by AGH research grant no Murata K. J., Smith R. L., 1946. Manganese and lead as coactivators of red fluorescence in halite, American Mineralogist, Volume 31, pages 527

  12. Drug discovery applications for KNIME: an open source data mining platform.

    Mazanetz, Michael P; Marmon, Robert J; Reisser, Catherine B T; Morao, Inaki


    Technological advances in high-throughput screening methods, combinatorial chemistry and the design of virtual libraries have evolved in the pursuit of challenging drug targets. Over the last two decades a vast amount of data has been generated within these fields and as a consequence data mining methods have been developed to extract key pieces of information from these large data pools. Much of this data is now available in the public domain. This has been helpful in the arena of drug discovery for both academic groups and for small to medium sized enterprises which previously would not have had access to such data resources. Commercial data mining software is sometimes prohibitively expensive and the alternate open source data mining software is gaining momentum in both academia and in industrial applications as the costs of research and development continue to rise. KNIME, the Konstanz Information Miner, has emerged as a leader in open source data mining tools. KNIME provides an integrated solution for the data mining requirements across the drug discovery pipeline through a visual assembly of data workflows drawing from an extensive repository of tools. This review will examine KNIME as an open source data mining tool and its applications in drug discovery.

  13. Efficient Mining of Intertransaction Association Rules

    Tung, A.K.H.; Lu, H.J.; Han, J.W.; Feng, L.


    Most of the previous studies on mining association rules are on mining intratransaction associations, i.e., the associations among items within the same transaction where the notion of the transaction could be the items bought by the same customer, the events happened on the same day, etc. In this s

  14. Abandoned Mine Waste Working Group report


    The Mine Waste Working Group discussed the nature and possible contributions to the solution of this class of waste problem at length. There was a consensus that the mine waste problem presented some fundamental differences from the other classes of waste addresses by the Develop On-Site Innovative Technologies (DOIT) working groups. Contents of this report are: executive summary; stakeholders address the problems; the mine waste program; current technology development programs; problems and issues that need to be addressed; demonstration projects to test solutions; conclusion-next steps; and appendices.

  15. Removal of Pb(II) ions from aqueous solution by a waste mud from copper mine industry: equilibrium, kinetic and thermodynamic study.

    Ozdes, Duygu; Gundogdu, Ali; Kemer, Baris; Duran, Celal; Senturk, Hasan Basri; Soylak, Mustafa


    The objective of this study was to assess the adsorption potential of a waste mud (WM) for the removal of lead (Pb(II)) ions from aqueous solutions. The WM was activated with NaOH in order to increase its adsorption capacity. Adsorption studies were conducted in a batch system as a function of solution pH, contact time, initial Pb(II) concentration, activated-waste mud (a-WM) concentration, temperature, etc. Optimum pH was specified as 4.0. The adsorption kinetic studies indicated that the overall adsorption process was best described by pseudo-second-order kinetics. The equilibrium adsorption capacity of a-WM was obtained by using Langmuir and Freundlich isotherm models and both models fitted well. Adsorption capacity for Pb(II) was found to be 24.4 mg g(-1) for 10 g L(-1) of a-WM concentration. Thermodynamic parameters including the Gibbs free energy (Delta G degrees), enthalpy (Delta H degrees), and entropy (DeltaS degrees) indicated that the adsorption of Pb(II) ions on the a-WM was feasible, spontaneous and endothermic, at temperature range of 0-40 degrees C. Desorption studies were carried out successfully with diluted HCl solutions. The results indicate that a-WM can be used as an effective and no-cost adsorbent for the treatment of industrial wastewaters contaminated with Pb(II) ions.

  16. Development of opencast mines

    Szebenyi, F.


    The role and works of the Central Institute for Mining Development and its legal predecessors, the Mining Research Institute and Mines Design Institute, in relation with opencast lignite mining in Hungary, are summarized. Investigations aimed at the determination of the heating technical properties of lignites are reviewed. Different lignite mines, their geological features, production possibilities and development conditions are outlined.

  17. Regularity and prediction of ground pressure in Haigou Gold Mine

    Meifeng Cai; Shuhua Hao; Hongguang Ji


    Previous mining excavation in upper sublevels left several mined-out areas in Haigou gold mine. To ensure safety of the main and auxiliary shafts and mining production in deeper sublevels, systematical studies on regularity, prediction, and control of ground pressure in the mine were carded out. Through 3D-numerical modeling and in-situ monitoring of acoustic emission, pressure and displacement, the ground pressure activity and the stability status of surrounding rock masses and the two shafts were assessed.Based on in-situ monitoring practice in Haigou mine, 4 modes to judge rock stability according to the monitoring information of acoustic emission, pressure, and displacement were presented.

  18. No Previous Public Services Required

    Taylor, Kelley R.


    In 2007, the Supreme Court heard a case that involved the question of whether a school district could be required to reimburse parents who unilaterally placed their child in private school when the child had not previously received special education and related services in a public institution ("Board of Education v. Tom F."). The…

  19. Data Mining for Target Marketing

    Levin, Nissan; Zahavi, Jacob

    Targeting is the core of marketing management. It is concerned with offering the right product/service to the customer at the right time and using the proper channel. In this chapter we discuss how Data Mining modeling and analysis can support targeting applications. We focus on three types of targeting models: continuous-choice models, discrete-choice models and in-market timing models, discussing alternative modeling for each application and decision making. We also discuss a range of pitfalls that one needs to be aware of in implementing a data mining solution for a targeting problem.

  20. Coal Mine Permit Boundaries

    Earth Data Analysis Center, University of New Mexico — ESRI ArcView shapefile depicting New Mexico coal mines permitted under the Surface Mining Control and Reclamation Act of 1977 (SMCRA), by either the NM Mining these...

  1. Exploration and Mining Roadmap



    This Exploration and Mining Technology Roadmap represents the third roadmap for the Mining Industry of the Future. It is based upon the results of the Exploration and Mining Roadmap Workshop held May 10 ñ 11, 2001.

  2. Application of Tracer-Injection Techniques to Demonstrate Surface-Water and Ground-Water Interactions Between an Alpine Stream and the North Star Mine, Upper Animas River Watershed, Southwestern Colorado

    Wright, Winfield G.; Moore, Bryan


    Tracer-injection studies were done in Belcher Gulch in the upper Animas River watershed, southwestern Colorado, to determine whether the alpine stream infiltrates into underground mine workings of the North Star Mine and other nearby mines in the area. The tracer-injection studies were designed to determine if and where along Belcher Gulch the stream infiltrates into the mine. Four separate tracer-injec-tion tests were done using lithium bromide (LiBr), optical brightener dye, and sodium chloride (NaCl) as tracer solu-tions. Two of the tracers (LiBr and dye) were injected con-tinuously for 24 hours, one of the NaCl tracers was injected continuously for 12 hours, and one of the NaCl tracers was injected over a period of 1 hour. Concentration increases of tracer constituents were detected in water discharging from the North Star Mine, substantiating a surface-water and ground-water connection between Belcher Gulch and the North Star Mine. Different timing and magnitude of tracer breakthroughs indicated multiple flow paths with different residence times from the stream to the mine. The Pittsburgh and Sultan Mines were thought to physically connect to the North Star Mine, but tracer breakthroughs were inconclusive in water from these mines. From the tracer-injection tests and synoptic measure-ments of streamflow discharge, a conceptual model was devel-oped for surface-water and ground-water interactions between Belcher Gulch and the North Star Mine. This information, combined with previous surface geophysical surveys indicat-ing the presence of subsurface voids, may assist with decision-making process for preventing infiltration and for the remedia-tion of mine drainage from these mines.

  3. Mining review

    McCartan, L.; Morse, D.E.; Plunkert, P.A.; Sibley, S.F.


    The average annual growth rate of real gross domestic product (GDP) from the third quarter of 2001 through the second quarter of 2003 in the United States was about 2.6 percent. GDP growth rates in the third and fourth quarters of 2003 were about 8 percent and 4 percent, respectively. The upward trends in many sectors of the U.S. economy in 2003, however, were shared by few of the mineral materials industries. Annual output declined in most nonfuel mining and mineral processing industries, although there was an upward turn toward yearend as prices began to increase.

  4. Intelligent Scheduling for Underground Mobile Mining Equipment.

    Zhen Song

    Full Text Available Many studies have been carried out and many commercial software applications have been developed to improve the performances of surface mining operations, especially for the loader-trucks cycle of surface mining. However, there have been quite few studies aiming to improve the mining process of underground mines. In underground mines, mobile mining equipment is mostly scheduled instinctively, without theoretical support for these decisions. Furthermore, in case of unexpected events, it is hard for miners to rapidly find solutions to reschedule and to adapt the changes. This investigation first introduces the motivation, the technical background, and then the objective of the study. A decision support instrument (i.e. schedule optimizer for mobile mining equipment is proposed and described to address this issue. The method and related algorithms which are used in this instrument are presented and discussed. The proposed method was tested by using a real case of Kittilä mine located in Finland. The result suggests that the proposed method can considerably improve the working efficiency and reduce the working time of the underground mine.

  5. Coal Mines, Abandoned - Digitized Mined Areas

    NSGIC GIS Inventory (aka Ramona) — Coal mining has occurred in Pennsylvania for over a century. The maps to these coal mines are stored at many various public and private locations (if they still...

  6. Application of maghemite nanoparticles as sorbents for the removal of Cu(II), Mn(II) and U(VI) ions from aqueous solution in acid mine drainage conditions

    Etale, Anita; Tutu, Hlanganani; Drake, Deanne C.


    The adsorptive removal of Cu(II), Mn(II) and U(VI) by maghemite nanoparticles (NPs) was investigated under acid mine drainage (AMD) conditions to assess NP potential for remediating AMD-contaminated water. The effects of time, NP and metal concentration, as well as manganese and sulphate ions were quantified at pH 3. Adsorption of all three ions was rapid, and equilibrium was attained in 5 min or less. 56 % of Cu, 53 % of Mn and 49 % of U were adsorbed. In addition, adsorption efficiencies were enhanced by ≥10 % in the presence of manganese and sulphate ions, although Cu sorption was reduced in 1:2 Cu-to-Mn solutions. Adsorption also increased with pH: 86 % Cu, 62 % Mn and 77 % U were removed from solution at pH 9 and increasing initial metal concentrations. Increasing NP concentrations did not, however, always increase metal removal. Kinetics data were best described by a pseudo-second-order model, implying chemisorption, while isotherm data were better fitted by the Freundlich model. Metal removal by NPs was then tested in AMD-contaminated surface and ground water. Removal efficiencies of up to 46 % for Cu and 54 % for Mn in surface water and 8 % for Cu and 50 % for Mn in ground water were achieved, confirming that maghemite NPs can be applied for the removal of these ions from AMD-contaminated waters. Notably, whereas sulphates may increase adsorption efficiencies, high Mn concentrations in AMD will likely inhibit Cu sorption.

  7. Wikipedia Mining

    Nakayama, Kotaro; Ito, Masahiro; Erdmann, Maike; Shirakawa, Masumi; Michishita, Tomoyuki; Hara, Takahiro; Nishio, Shojiro

    Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers a huge number of concepts of various fields such as arts, geography, history, science, sports and games. As a corpus for knowledge extraction, Wikipedia's impressive characteristics are not limited to the scale, but also include the dense link structure, URL based word sense disambiguation, and brief anchor texts. Because of these characteristics, Wikipedia has become a promising corpus and a new frontier for research. In the past few years, a considerable number of researches have been conducted in various areas such as semantic relatedness measurement, bilingual dictionary construction, and ontology construction. Extracting machine understandable knowledge from Wikipedia to enhance the intelligence on computational systems is the main goal of "Wikipedia Mining," a project on CREP (Challenge for Realizing Early Profits) in JSAI. In this paper, we take a comprehensive, panoramic view of Wikipedia Mining research and the current status of our challenge. After that, we will discuss about the future vision of this challenge.

  8. Economics of mining law

    Long, K.R.


    Modern mining law, by facilitating socially and environmentally acceptable exploration, development, and production of mineral materials, helps secure the benefits of mineral production while minimizing environmental harm and accounting for increasing land-use competition. Mining investments are sunk costs, irreversibly tied to a particular mineral site, and require many years to recoup. Providing security of tenure is the most critical element of a practical mining law. Governments owning mineral rights have a conflict of interest between their roles as a profit-maximizing landowner and as a guardian of public welfare. As a monopoly supplier, governments have considerable power to manipulate mineral-rights markets. To avoid monopoly rent-seeking by governments, a competitive market for government-owned mineral rights must be created by artifice. What mining firms will pay for mineral rights depends on expected exploration success and extraction costs. Landowners and mining firms will negotlate respective shares of anticipated differential rents, usually allowing for some form of risk sharing. Private landowners do not normally account for external benefits or costs of minerals use. Government ownership of mineral rights allows for direct accounting of social prices for mineral-bearing lands and external costs. An equitable and efficient method is to charge an appropriate reservation price for surface land use, net of the value of land after reclamation, and to recover all or part of differential rents through a flat income or resource-rent tax. The traditional royalty on gross value of production, essentially a regressive income tax, cannot recover as much rent as a flat income tax, causes arbitrary mineral-reserve sterilization, and creates a bias toward development on the extensive margin where marginal environmental costs are higher. Mitigating environmental costs and resolving land-use conflicts require local evaluation and planning. National oversight ensures

  9. Spatial Data Mining using Cluster Analysis

    Ch.N.Santhosh Kumar


    Full Text Available Data mining, which is refers to as Knowledge Discovery in Databases(KDD, means a process of nontrivialexaction of implicit, previously useful and unknown information such as knowledge rules, descriptions,regularities, and major trends from large databases. Data mining is evolved in a multidisciplinary field ,including database technology, machine learning, artificial intelligence, neural network, informationretrieval, and so on. In principle data mining should be applicable to the different kind of data and databasesused in many different applications, including relational databases, transactional databases, datawarehouses, object- oriented databases, and special application- oriented databases such as spatialdatabases, temporal databases, multimedia databases, and time- series databases. Spatial data mining, alsocalled spatial mining, is data mining as applied to the spatial data or spatial databases. Spatial data are thedata that have spatial or location component, and they show the information, which is more complex thanclassical data. A spatial database stores spatial data represents by spatial data types and spatialrelationships and among data. Spatial data mining encompasses various tasks. These include spatialclassification, spatial association rule mining, spatial clustering, characteristic rules, discriminant rules,trend detection. This paper presents how spatial data mining is achieved using clustering.

  10. National Underground Mines Inventory


    08 019 726 LONG PARK 15 0502379 08 095 2904 GEO a1 MINE 0502383 08 085 2904 BESSIE 0 MINE 0502387 08 667 2904 PAYSTREAK 0502397 08 113 2904 BUENO MILL...35 061QUESTA MINE 2901267 35 055 43560 ’ RUDY NO, I S 2 2901364 35 031 MT, TAYLOR 2901375 35 061 0 MARQUEZ SHAFT 2901597 35 031 6534 MARIANO LAKE MINE

  11. Mining ergonomics

    McPhee, B.


    Changes in work practices and a drive for greater productivity have introduced a range of emerging issues in ergonomics in mining. Some of the practices appear to be at odds with the need to improve general occupational health and safety. Longer shift lengths and fatigue, mental overload and underload, intermittent heavy physical work, reduced task variation, sedentary work in fixed postures and whole-body vibration all have risks for health and safety. The increasing age of some of the workforce is of concern. There appears to be a need to recognise these as potential causes of health problems. The article gives a review of these problems are reports on research findings. 36 refs., 3 figs.

  12. Mining lore : Bankhead, mining for coal

    Nichiporuk, A.


    Bankhead, Alberta was one of the first communities to be established because of mining. It was founded in 1903 by the Canadian Pacific Railway (CPR) on Cascade Mountain in the Bow River Valley of Banff National Park. In 1904, Mine No. 80 was opened by the Pacific Coal Company to fuel CPR's steam engines. In order to avoid flooding the mine, the decision was made to mine up the steep seams instead of down. The mine entered full production in 1905. This article described the working conditions and pay scale for the mine workers, noting that there was not much in terms of safety equipment. There were many accidents and 15 men lost their lives at the mine. During the mine's 20-year operation, miners went on strike 6 times. The last strike marked the closure of the mine in June 1922 and the end of industry in national parks. CPR was ordered to clear out and move the mining equipment as well as the houses, buildings and essentially the entire town. During its peak production, Mine No. 80 produced about a half million tons of coal. 1 ref., 1 fig.

  13. Mining and environment

    Kisgyorgy, S.


    The realization of new mining projects should be preceded by detailed studies on the impact of mining activities on the environment. For defining the conditions of environmental protection and for making proper financial plans the preparation of an information system is needed. The possible social effects of the mining investments have to be estimated, first of all from the points of view of waste disposal, mining hydrology, subsidence due to underground mining etc.

  14. The Determination Of Patient Profile At Pamukkale University As Relater To The Application Of Data Mining

    İrfan Ertuğrul


    Full Text Available Data mining is a way to obtain the potentially useful information, but previously unknown and unclear from the raw data-And it includes a certain number of technical approaches such as the clustering, data summarization, evaluation of changes and the detection of deviations. Data mining is a way of obtaining much valuable information from the data stack, which can reply the questions about the target and which was cleaned from redundant data. It was started to work by giving general information related to data mining. Thanks to data mining, it can be obtained important results that will help decision-making processes in many areas. By examining the data in many ways, meaninful data can be accessed by raw data. There is a common application area of data mining. Our study includes the data in health sector which is one of these application areas. Here, there is an application study on determining the patient profile through using the data in Pamukkale University hospital information management system–through this given data, health care professionals can obtain the most correct and the newest information and this given data is at the same time a decision support tool to provide the most objective and optimal solutions for them.

  15. A numerical solution to integrated water flows: Application to the flooding of an open pit mine at the Barcés river catchment - La Coruña, Spain

    Hernández, J.-Horacio; Padilla, Francisco; Juncosa, Ricardo; Vellando, Pablo R.; Fernández, Álvaro


    SummaryThis research and practical application is concerned with the development of a physically-based numerical model that incorporates new approaches for a finite element solution to the steady/transient problems of the joint surface/groundwater flows of a particular region with the help of a Geographic Information Systems to store, represent, manage and take decisions on all the simulated conditions. The proposed surface-subsurface model considers surface and groundwater interactions to be depth-averaged through a novel interpretation of a linear river flood routing method. Infiltration rates and overland flows generation processes are assessed by a sub-model which accounts for this kind of surface-groundwater interactions. Surface-groundwater interactions consider also novel evaporation and evapotranspiration processes as a diffuse discharge from surface water, non-saturated subsoil and groundwater table. The practical application regards the present flooding of the Meirama open pit, a quite deep coal mining excavation, with freshwater coming from the upper Meirama sub-basin, in the context of the water resources fate and use at the Barcés river catchment (˜87.9 km2), Coruña, Spain. The developed model MELEF was applied to the complex geology of a pull-apart type sedimentary tertiary valley and the whole of the water resources of the Barcés River drainage basin, down to its outlet at the Cecebre Reservoir. Firstly, the model was adapted and calibrated during a simulation period of three and a half years (2006/2009) with the aid of the historically registered hydrological parameters and data. Secondly, the results predict the most likely forthcoming evolution of the present flooding of the Meirama open pit to reach therein a total depth level of almost 200 m, as regards the projected evolution of the water resources, climatology and usages.

  16. Data mining for scientific publications

    Mihai VLASE


    Full Text Available Searching scientific literature on the Web is a difficult task because of the large volume and the complex dynamics of the scientific literature and because of the complexity and narrow target of typical queries. The problem is compounded by differences among publication standards and formats used in various fields of knowledge. In this paper we review several specific solutions that apply or adapt data mining techniques to searching scientific publications.

  17. Environmental monitoring at the Seqi olivine mine 2010

    Søndergaard, Jens; Asmund, Gert

    The olivine mine at Seqi in West Greenland operated between 2005 and 2010. Since 2004, environmental monitoring studies have been conducted at Seqi every year in order to assess premining conditions and subsequently the impact from mining during operation. This report contains the results from......) in 2010. Consequently, the environmental impact of the mine at Seqi has decreased and is considered insignificant for the Niaquungunaq fjord system....... monitoring studies conducted in 2010. Results from previous years have shown that operation of the mine caused levels of some elements, particularly chromium and nickel, to increase in lichens, blue mussels and seaweed within the surrounding area compared to pre-mining conditions. The main source...

  18. Cloud computing in data mining – a survey

    Viktor Nekvapil


    Full Text Available Cloud computing in data mining presents promising solution for businesses willing to analyse their data with lower costs or those companies which want to utilise their “big data”. In this survey, reasons for using cloud computing solutions in data mining are studied and respective tools corresponding to these reasons are evaluated. The emphasis is laid to functionality of the tools and the integration with other applications. In total, 13 solutions were evaluated.

  19. 时态数据挖掘研究进展%Progress of Tenporal Data Mining Research

    张保稳; 何华灿


    Temporal data mining is one of the important braches of data mining.In this paper with the present documents first we systematically classify the present research on temporal data mining.Next,we give our generalizations and analyses to the main braches.Finally problems of the current research of temporal data mining are pointed out and solutions are prposed.


    Jaseena K.U,; Julie M. David


    Data has become an indispensable part of every economy, industry, organization, business function and individual. Big Data is a term used to identify the datasets that whose size is beyond the ability of typical database software tools to store, manage and analyze. The Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation and measurement errors. These challenges are distinguishe...

  1. Socially responsible mining: the relationship between mining and poverty, human health and the environment.

    Maier, Raina M; Díaz-Barriga, Fernando; Field, James A; Hopkins, James; Klein, Bern; Poulton, Mary M


    Increasing global demand for metals is putting strain on the ability of the mining industry to physically keep up with demand (physical scarcity). Conversely, social issues including the environmental and human health consequences of mining as well as the disparity in income distribution from mining revenues are disproportionately felt at the local community level. This has created social rifts, particularly in the developing world, between affected communities and both industry and governments. Such rifts can result in a disruption of the steady supply of metals (situational scarcity). Here we discuss the importance of mining in relationship to poverty, identify steps that have been taken to create a framework for socially responsible mining, and then discuss the need for academia to work in partnership with communities, government, and industry to develop transdisciplinary research-based step change solutions to the intertwined problems of physical and situational scarcity.

  2. Socially Responsible Mining: the Relationship between Mining and Poverty, Human Health and the Environment

    Maier, Raina M.; Díaz-Barriga, Fernando; Field, James A.; Hopkins, James; Klein, Bern; Poulton, Mary M.


    Increasing global demand for metals is straining the ability of the mining industry to physically keep up with demand (physical scarcity). On the other hand, social issues including the environmental and human health consequences of mining as well as the disparity in income distribution from mining revenues are disproportionately felt at the local community level. This has created social rifts, particularly in the developing world, between affected communities and both industry and governments. Such rifts can result in a disruption of the steady supply of metals (situational scarcity). Here we discuss the importance of mining in relationship to poverty, identify steps that have been taken to create a framework for socially responsible mining, and then discuss the need for academia to work in partnership with communities, government, and industry to develop trans-disciplinary research-based step change solutions to the intertwined problems of physical and situational scarcity. PMID:24552962

  3. Environmental and toenail metals concentrations in copper mining and non mining communities in Zambia.

    Ndilila, Wesu; Callan, Anna Carita; McGregor, Laura A; Kalin, Robert M; Hinwood, Andrea L


    Copper mining contributes to increased concentrations of metals in the environment, thereby increasing the risk of metals exposure to populations living in and around mining areas. This study investigated environmental and toenail metals concentrations of non-occupational human exposure to metals in 39 copper-mining town residents and 47 non-mining town residents in Zambia. Elevated environmental concentrations were found in samples collected from the mining town residents. Toenail concentrations of cobalt (GM 1.39 mg/kg), copper (GM 132 mg/kg), lead (21.41 mg/kg) selenium (GM 0.38 mg/kg) and zinc (GM 113 mg/kg) were significantly higher in the mining area and these metals have previously been associated with copper mining. Residence in the mining area, drinking water, dust and soil metals concentrations were the most important contributors to toenail metals concentrations. Further work is required to establish the specific pathways of exposure and the health risks of elevated metals concentrations in the copper mining area.

  4. First Mexican coal mine recovery after mine fire, Esmeralda Mine

    Santillan, M.A. [Minerales Monclova, SA de CV, Palau Coahuila (Mexico)


    The fire started on 8 May 1998 in the development section from methane released into the mine through a roof-bolt hole. The flames spread quickly as the coal was ignited. After eight hours the Safety Department decided to seal the vertical ventilation shafts and the slopes. The quality of coal in the Esmeralda Mine is very high quality, and Minerales Monclova (MIMOSA) decided to recover the facilities. However, the Esmeralda Mine coals have a very high gas content of 12 m{sup 3}/t. During the next 2.5 months, MIMOSA staff and specialists observed and analysed the gas behaviour supported by a chromatograph. With the results of the observations and analyses, MIMOSA in consultation with the specialists developed a recovery plan based on flooding the area in which fire might have propagated and in which rekindling was highly probable. At the same time MIMOSA trained rescue teams. By 20 August 1998, the mine command centre had re-opened the slopes seal. Using a 'Step-by-Step' system, the rescue team began the recovery process by employing cross-cuts and using an auxiliary fan to establish the ventilation circuit. The MIMOSA team advanced into the mine as far as allowed by the water level and was able to recover the main fan. The official mine recovery date was 30 November 1998. Esmeralda Mine was back in operation in December 1998. 1 ref., 3 figs.

  5. Mining robotics sensors

    Green, JJ


    Full Text Available causes of fatalities in underground narrow reef mining. Data are gathered and processed from multiple underground mine sources, and techniques such as surfel modeling and synthetic view generation are explored towards creating visualisations of the data...

  6. Mines and Mineral Resources

    Department of Homeland Security — Mines in the United States According to the Homeland Security Infrastructure Program Tiger Team Report Table E-2.V.1 Sub-Layer Geographic Names, a mine is defined as...


    Berislav Šebečić


    Full Text Available The way mining was monitored in the past depended on knowledge, interest and the existing legal regulations. Documentary evidence about this work can be found in archives, libraries and museums. In particular, there is the rich archival material (papers and books concerning the work of the one-time Imperial and Royal Mining Captaincies in Zagreb, Zadar, Klagenfurt and Split, A minor part of the documentation has not yet been transferred to Croatia. From mining handbooks and books we can also find out about mining in Croatia. In the context of Austro-Hungary. For example, we can find out that the first governorships in Zagreb and Zadar headed the Ban, Count Jelacic and Baron Mamula were also the top mining authorities, though this, probably from political motives, was suppressed in the guides and inventories or the Mining Captaincies. At the end of the 1850s, Croatia produced 92-94% of sea salt, up to 8.5% of sulphur, 19.5% of asphalt and 100% of oil for the Austro-Hungarian empire. From data about mining in the Split Mining Captaincy, prepared for the Philadephia Exhibition, it can be seen that in the exploratory mining operations in which there were 33,372 independent mines declared in 1925 they were looking mainly for bauxite (60,0%, then dark coal (19,0%, asphalts (10.3% and lignites (62%. In 1931, within the area covered by the same captaincy, of 74 declared mines, only 9 were working. There were five coal mines, three bauxite mines and one for asphalt. I suggest that within state institution, the Mining Captaincy or Authority be renewed, or that a Mining and Geological Authority be set ap, which would lead to the more complete affirmation of Croatian mining (the paper is published in Croatian.

  8. Towards semantic web mining

    Berendt, Bettina; Hotho, Andreas; Stumme, Gerd


    Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

  9. Mining in El Salvador

    Pacheco Cueva, Vladimir


    In this guest article, Vladimir Pacheco, a social scientist who has worked on mining and human rights shares his perspectives on a current campaign against mining in El Salvador – Central America’s smallest but most densely populated country.......In this guest article, Vladimir Pacheco, a social scientist who has worked on mining and human rights shares his perspectives on a current campaign against mining in El Salvador – Central America’s smallest but most densely populated country....

  10. Intelligent Information Retrieval and Web Mining Architecture Using SOA

    El-Bathy, Naser Ibrahim


    The study of this dissertation provides a solution to a very specific problem instance in the area of data mining, data warehousing, and service-oriented architecture in publishing and newspaper industries. The research question focuses on the integration of data mining and data warehousing. The research problem focuses on the development of…

  11. Possible risk and probability of causation of bone and liver cancer due to the occupational alpha-ray exposure of workers at the previous WISMUT Uranium Mining Company; Moegliches Risiko und Verursachungs-Wahrscheinlichkeit von Knochen-und Leberkrebs durch die berufliche Alphastrahlen-Exposition von Beschaeftigten der ehemaligen WISMUT-AG

    Jacobi, W.; Roth, P. [GSF - Forschungszentrum fuer Umwelt und Gesundheit Neuherberg GmbH, Oberschleissheim (Germany). Inst. fuer Strahlenschutz; Nosske, D. [Bundesamt fuer Strahlenschutz, Neuherberg (Germany). Inst. fuer Strahlenhygiene


    For the calculation of the excess relative risk and the corresponding probability of causation the incidence data on bone and liver cancer from the DDR Cancer Registry are used as normal background rate. The application of these risk models to the exposure conditions of WISMUT workers takes into regard the inhalation of radon-222 and its progeny (including lead-210), the inhalation of U-containing or dust with large particle sizes and the external gamma radiation at the workplace. In addition, the possible risk contribution by drinking radioactive spring waters in these mines is discussed. In an annex the resulting risk values for bone and liver cancer per unit of exposure are tabulated as function of the time since exposure. As examples the resulting values of the excess absolute and relative risk and of the corresponding probability of causation as function of age at exposure and age at incidence are given for reference values of the annual radiation exposure of these miners. With respect to the time response the results indicate that a persistent relative risk model, like it has been derived by UNSCEAR for solid cancers on the basis of the LSS data from the atomic bomb survivors, seems to be not appropriate for bone and liver cancer induced by alpha radiation. - Finally it is recommended to apply the risk models for bone and liver cancer which are outlined in this report, for the decision-making on the compensation of WISMUT workers. (orig./GL) [Deutsch] Zur Berechnung des relativen Risikos und der daraus folgenden Verursachungs-Wahrscheinlichkeit werden als Normalwerte die Inzidenzdaten fuer Knochen- und Leberkrebs im DDR-Krebsregister herangezogen. Bei der Anwendung dieser Risikomodelle auf die Exposition von WISMUT-Beschaeftigten werden die Inhalation von Radon-222 und seinen Zerfallsprodukten (einschliesslich Blei-210), die Inhalation von grobdispersem Uran-haltigen Gesteinsstaub sowie die externe Gamma-Strahlung beruecksichtigt. Zusaetzlich wird auch der

  12. Electrodialytic remediation of copper mine tailings

    Hansen, Henrik K.; Rojo, A.; Ottpsen, Lisbeth M.


    Mining activities in Chile have generated large amounts of solid waste, which have been deposited in mine tailing impoundments. These impoundments cause concern to the communities due to dam failures or natural leaching to groundwater and rivers.This work shows the laboratory results of nine...... electrodialytic remediation experiments on copper mine tailings. The results show that electric current could remove copper from watery tailing if the potential gradient was higher than 2V/cm during 21 days. With addition of sulphuric acid, the process was enhanced because the pH decreased to around 4......, and the copper by this reason was released in the solution. Furthermore, with acidic tailing the potential gradient was less than 2V/cm.The maximum copper removal reached in the anode side was 53% with addition of sulphuric acid in 21 days experiment at 20V using approximately 1.8kg mine tailing on dry basis...

  13. Efficient Selection of Data Mining Method

    Mirela Danubianu


    Full Text Available Data mining tools can access large amounts of data and find patterns that can solve various problems, often with surprising solutions. We have analyzed the data mining methods, techniques and algorithms with their characteristics, with their advantages and weakness. Taking into account the tasks to be resolved in order to discover the different types of knowledge, the kind of databases to work on and the type of data, as well as the area for which on desire the implementation of the data mining system we have try to find a way to efficiently choose the proper methods in a given situation. ExpertDM system has the aim to find the best data mining methods for solving a task and specifying the transformation which need to be made for bringing the data at a proper form for applying these methods.

  14. IT Data Mining Tool Uses in Aerospace

    Monroe, Gilena A.; Freeman, Kenneth; Jones, Kevin L.


    Data mining has a broad spectrum of uses throughout the realms of aerospace and information technology. Each of these areas has useful methods for processing, distributing, and storing its corresponding data. This paper focuses on ways to leverage the data mining tools and resources used in NASA's information technology area to meet the similar data mining needs of aviation and aerospace domains. This paper details the searching, alerting, reporting, and application functionalities of the Splunk system, used by NASA's Security Operations Center (SOC), and their potential shared solutions to address aircraft and spacecraft flight and ground systems data mining requirements. This paper also touches on capacity and security requirements when addressing sizeable amounts of data across a large data infrastructure.

  15. American mines, methods and men

    Walker, S.C.A. (Thames Water Utilities (UK))


    The paper is based on the author's visits to a number of American mines, to see their mining machinery and to discuss with mine management their industrial relations problems. The paper gives a brief review of American mines, methods and men and is in the form of a diary. Mines visited are: Ohio Valley Coal Company; Big John Mine; Pittsburgh Research Center of the US Bureau of Mines; Martinka Mine; Robin Hood Complex No 9 Mine (Boone County, West Virginia), Green Briar Mine (Virginia); Martin County Coal (Kentucky); Wabash Mine (Keensburgh, Illinois); Galatia Mine (Harrisburgh, Illinois); and William Station Mine (Sturgis, Kentucky). Details given include mining methods productivity and staffing levels. The mining machinery is described in detail in a separate article. 5 figs.

  16. Data Mining for CRM

    Thearling, Kurt

    Data Mining technology allows marketing organizations to better understand their customers and respond to their needs. This chapter describes how Data Mining can be combined with customer relationship management to help drive improved interactions with customers. An example showing how to use Data Mining to drive customer acquisition activities is presented.

  17. Sequential Pattern Mining Using Formal Language Tools

    R. S. Jadon


    Full Text Available In present scenario almost every system and working is computerized and hence all information and data are being stored in Computers. Huge collections of data are emerging. Retrieval of untouched, hidden and important information from this huge data is quite tedious work. Data Mining is a great technological solution which extracts untouched, hidden and important information from vast databases to investigate noteworthy knowledge in the data warehouse. An important problem in data mining is to discover patterns in various fields like medical science, world wide web, telecommunication etc. In the field of Data Mining, Sequential pattern mining is one of the method in which we retrieve hidden pattern linked with instant or other sequences. In sequential pattern mining we extract those sequential patterns whose support count are greater than or equal to given minimum support threshold value. In current scenario users are interested in only specific and interesting pattern instead of entire probable sequential pattern. To control the exploration space users can use many heuristics which can be represented as constraints. Many algorithms have been developed in the fields of constraint mining which generate patterns as per user expectation. In the present work we will be exploring and enhancing the regular expression constraints .Regular expression is one of the constraint and number of algorithm developed for sequential pattern mining which uses regular expression as a constraint. Some constraints are neither regular nor context free like cross-serial pattern anbmcndm used in Swiss German Data. We cannot construct equivalent deterministic finite automata (DFA or Push down automata (PDA for such type of patterns. We have proposed a new algorithm PMFLT (Pattern Mining using Formal Language Tools for sequential pattern mining using formal language tools as constraints. The proposed algorithm finds only user specific frequent sequence in efficient

  18. Grizzly bear diet shifting on reclaimed mines

    Bogdan Cristescu


    Full Text Available Industrial developments and reclamation change habitat, possibly altering large carnivore food base. We monitored the diet of a low-density population of grizzly bears occupying a landscape with open-pit coal mines in Canada. During 2009–2010 we instrumented 10 bears with GPS radiocollars and compared their feeding on reclaimed coal mines and neighboring Rocky Mountains and their foothills. In addition, we compared our data with historical bear diet for the same population collected in 2001–2003, before extensive mine reclamation occurred. Diet on mines (n=331 scats was dominated by non-native forbs and graminoids, while diets in the Foothills and Mountains consisted primarily of ungulates and Hedysarum spp. roots respectively, showing diet shifting with availability. Field visitation of feeding sites (n=234 GPS relocation clusters also showed that ungulates were the main diet component in the Foothills, whereas on reclaimed mines bears were least carnivorous. These differences illustrate a shift to feeding on non-native forbs while comparisons with historical diet reveal emergence of elk as an important bear food. Food resources on reclaimed mines attract bears from wilderness areas and bears may be more adaptable to landscape change than previously thought. The grizzly bear’s ready use of mines cautions the universal view of this species as umbrella indicative of biodiversity.

  19. Mining text data

    Aggarwal, Charu C


    Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. ""Mining Text Data"" introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including

  20. Analysis of production capacity in coal mining operations. [Hungary

    Csicsay, A.; Moharos, J.


    The longwall mining machines in coal mines are extremely expensive. In the intensive periods of development most of the investments were expended to this machinery but their productivity was found to stay below expectations. After the assessment of the reasons the solution for this problem was sought and new measures were introduced. The analysis covered the survey of the losses and the service times experienced in 19 heavily mechanized longwall mines representing over half of this type in Hungary. Propositions to reduce time and financial losses and to improve the efficiency of mining machines are presented.

  1. Transparent data mining for big and small data

    Quercia, Daniele; Pasquale, Frank


    This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches. As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to prac...

  2. Data mining in radiology.

    Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish


    Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining.

  3. Data mining in radiology

    Amit T Kharat


    Full Text Available Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining.

  4. Commercial Data Mining Software

    Zhang, Qingyu; Segall, Richard S.

    This chapter discusses selected commercial software for data mining, supercomputing data mining, text mining, and web mining. The selected software are compared with their features and also applied to available data sets. The software for data mining are SAS Enterprise Miner, Megaputer PolyAnalyst 5.0, PASW (formerly SPSS Clementine), IBM Intelligent Miner, and BioDiscovery GeneSight. The software for supercomputing are Avizo by Visualization Science Group and JMP Genomics from SAS Institute. The software for text mining are SAS Text Miner and Megaputer PolyAnalyst 5.0. The software for web mining are Megaputer PolyAnalyst and SPSS Clementine . Background on related literature and software are presented. Screen shots of each of the selected software are presented, as are conclusions and future directions.

  5. Data mining in radiology

    Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish


    Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining. PMID:25024513

  6. The practice of mine ventilation engineering

    Wallace Keith; Prosser Brian; Stinnette J. Daniel


    The practice of ventilation is continually evolving with new technological advances developed in the mining industry. In recent years the advances in diesel engine technologies, ventilation modeling software, and ventilation management capacities have redefined the historical methods used to evaluate systems. The advances re-evaluate previous methods used to calculate the airflow requirements for the dilution of diesel exhaust fumes. Modeling software has become an integral part of planning and devel-oping ventilation systems in partnership with graphical mine design software packages to generate realistic representations of the mine. Significant advances in ventilation control strategies through remote sensors and monitoring capabilities have been developed to results in cost savings. Though there has been much advancement in mine ventilation technology, the practices and basic ventilation princi-pals enacted through the ventilation engineer cannot be placated with technological advances only.

  7. Lunabotics Mining: Evolution of ARTEMIS PRIME

    Bertke, Sarah; Gries, Christine; Huff, Amanda; Logan, Brittany; Oliver, Kaitlin; Rigney, Erica; Tyree, Whitney; Young, Maegan


    This slide presentation reviews the development of Amassing Regolith with Topper Engineers eMploying Innovative Solutions (ARTEMIS) in a competition to develop robotic lunar mining capabilities. The goal of the competition was to design, build and operate a remotely controlled device that is capable of excavating, transporting and discharging lunar regolith simulant in a lunar environment over a 13 minute period.

  8. Deploying mutation impact text-mining software with the SADI Semantic Web Services framework.

    Riazanov, Alexandre; Laurila, Jonas Bergman; Baker, Christopher J O


    Mutation impact extraction is an important task designed to harvest relevant annotations from scientific documents for reuse in multiple contexts. Our previous work on text mining for mutation impacts resulted in (i) the development of a GATE-based pipeline that mines texts for information about impacts of mutations on proteins, (ii) the population of this information into our OWL DL mutation impact ontology, and (iii) establishing an experimental semantic database for storing the results of text mining. This article explores the possibility of using the SADI framework as a medium for publishing our mutation impact software and data. SADI is a set of conventions for creating web services with semantic descriptions that facilitate automatic discovery and orchestration. We describe a case study exploring and demonstrating the utility of the SADI approach in our context. We describe several SADI services we created based on our text mining API and data, and demonstrate how they can be used in a number of biologically meaningful scenarios through a SPARQL interface (SHARE) to SADI services. In all cases we pay special attention to the integration of mutation impact services with external SADI services providing information about related biological entities, such as proteins, pathways, and drugs. We have identified that SADI provides an effective way of exposing our mutation impact data such that it can be leveraged by a variety of stakeholders in multiple use cases. The solutions we provide for our use cases can serve as examples to potential SADI adopters trying to solve similar integration problems.

  9. Mine your own business! Mine other's news!

    Pham, Quang-Khai; Saint-Paul, Régis; Benatallah, Boualem; Mouaddib, Noureddine; Raschia, Guillaume


    International audience; Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this mass of information is critical for knowledge workers such as financial analysts, stock traders or economists. Using existing frequent pattern mining (FPM) algorithms for the analysis of news data is difficult because of the size and lack of structuring of the free text news content. In this ...

  10. Data mining, mining data : energy consumption modelling

    Dessureault, S. [Arizona Univ., Tucson, AZ (United States)


    Most modern mining operations are accumulating large amounts of data on production and business processes. Data, however, provides value only if it can be translated into information that appropriate users can utilize. This paper emphasized that a new technological focus should emerge, notably how to concentrate data into information; analyze information sufficiently to become knowledge; and, act on that knowledge. Researchers at the Mining Information Systems and Operations Management (MISOM) laboratory at the University of Arizona have created a method to transform data into action. The data-to-action approach was exercised in the development of an energy consumption model (ECM), in partnership with a major US-based copper mining company, 2 software companies, and the MISOM laboratory. The approach begins by integrating several key data sources using data warehousing techniques, and increasing the existing level of integration and data cleaning. An online analytical processing (OLAP) cube was also created to investigate the data and identify a subset of several million records. Data mining algorithms were applied using the information that was isolated by the OLAP cube. The data mining results showed that traditional cost drivers of energy consumption are poor predictors. A comparison was made between traditional methods of predicting energy consumption and the prediction formed using data mining. Traditionally, in the mines for which data were available, monthly averages of tons and distance are used to predict diesel fuel consumption. However, this article showed that new information technology can be used to incorporate many more variables into the budgeting process, resulting in more accurate predictions. The ECM helped mine planners improve the prediction of energy use through more data integration, measure development, and workflow analysis. 5 refs., 11 figs.


    Pavel Zapletal


    Full Text Available The present-day micro-climatic conditions in black coal mines are of such nature that in no mine natural micro-climate conditioning is sufficient any more. The original temperature of rocks grows progressively in dependence on the increasing depth of the extracted seam, or more precisely, on the mining workplace, and this growth is much more significant than previously considered. The temperature of the surrounding rocks, but also high-performance continuous miners and conveyor belt drives heat up airflow, thus worsening microclimatic conditions. This article describes micro-climatic conditions the in Czech Republic and Ukraine and some methods of deep mines air conditioning.

  12. 21 Recipes for Mining Twitter

    Russell, Matthew


    Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followers

  13. Incorporating Domain Knowledge into Data Mining Process: An Ontology Based Framework


    With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then autonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to incorporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.

  14. Response of transplanted aspen to irrigation and weeding on a Colorado reclaimed surface coal mine

    Robert C. Musselman; Wayne D. Shepperd; Frederick W. Smith; Lance A. Asherin; Brian W. Gee


    Successful re-establishment of aspen (Populus tremuloides Michx.) on surface-mined lands in the western United States is problematic because the species generally regenerates vegetatively by sprouting from parent roots in the soil; however, topsoil is removed in the mining process. Previous attempts to plant aspen on reclaimed mine sites have failed because...

  15. Coal mine site reclamation



    Coal mine sites can have significant effects on local environments. In addition to the physical disruption of land forms and ecosystems, mining can also leave behind a legacy of secondary detrimental effects due to leaching of acid and trace elements from discarded materials. This report looks at the remediation of both deep mine and opencast mine sites, covering reclamation methods, back-filling issues, drainage and restoration. Examples of national variations in the applicable legislation and in the definition of rehabilitation are compared. Ultimately, mine site rehabilitation should return sites to conditions where land forms, soils, hydrology, and flora and fauna are self-sustaining and compatible with surrounding land uses. Case studies are given to show what can be achieved and how some landscapes can actually be improved as a result of mining activity.

  16. Implementation of Paste Backfill Mining Technology in Chinese Coal Mines

    Qingliang Chang


    Full Text Available Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology and its application are analyzed for paste backfill mining in Daizhuang Coal Mine; a practical implementation shows that paste backfill mining can improve the safety and excavation rate of coal mining, which can effectively resolve surface subsidence problems caused by underground mining activities, by utilizing solid waste such as coal gangues as a resource. Therefore, paste backfill mining is an effective clean coal mining technology, which has widespread application.

  17. Implementation of paste backfill mining technology in Chinese coal mines.

    Chang, Qingliang; Chen, Jianhang; Zhou, Huaqiang; Bai, Jianbiao


    Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology and its application are analyzed for paste backfill mining in Daizhuang Coal Mine; a practical implementation shows that paste backfill mining can improve the safety and excavation rate of coal mining, which can effectively resolve surface subsidence problems caused by underground mining activities, by utilizing solid waste such as coal gangues as a resource. Therefore, paste backfill mining is an effective clean coal mining technology, which has widespread application.

  18. Incremental frequent tree-structured pattern mining from semi-structured data

    Chen Enhong; Lin Le; Wu Gongqing; Wang Shu


    The paper studies the problem of incremental pattern mining from semi-structrued data. When a new dataset is added into the original dataset, it is difficult for existing pattern mining algorithms to incrementally update the mined results. To solve the problem, an incremental pattern mining algorithm based on the rightmost expansion technique is proposed here to improve the mining performance by utilizing the original mining results and information obtained in the previous mining process. To improve the efficiency, the algorithm adopts a pruning technique by using the frequent pattern expansion forest obtained in mining processes. Comparative experiments with different volume of initial datasets, incremental datasets and different minimum support thresholds demonstrate that the algorithm has a great improvement in the efficiency compared with that of non-incremental pattern mining algorithm.



    Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from large amounts of data. The important term in data mining is text mining. Text mining extracts the quality information highly from text. Statistical pattern learning is used to high quality information. High –quality in text mining defines the combinations of relevance, novelty and interestingness. Tasks in text mining are text categorization, text clustering, entity extraction and sentim...

  20. The rise of the mine water level in the area of the former Kohinoor II mine and the influence on the surrounding aquifer systems of abandoned mines in the central part of the North Bohemian Brown Coal Basin

    Milan Mikoláš


    Full Text Available The aim of this article is to evaluate the process of terminating the mine water pumping after the liquidation of the Kohinoor II coal mine, situated in the central part of the North Bohemian Brown Coal Basin (NBB and the subsequent resumption of pumping from the surface after the mine water rise in the area of the former mine to the desired level. We analyzed previously known data, particularly the amount of mine water pumped from the mine area and the surrounding abandoned mines in the past. Further the evaluation of known surrounding abandoned mines aquifer systems, accumulated in the coal seam (underground accumulation of water and the evaluation of the effect of increasing the water level in the Kohinoor II mine, focusing on the enlargement of the central mine aquifers and the evaluation of the effects of changes in the way of pumping on the surrounding coal seam and its mining with continued safe brown coal mining at the nearby Bílina mine, that can be ensured for at least another 25 years.

  1. The Northern Manitoba Mining Academy

    Alexandre, Paul


    The Northern Manitoba Mining Academy (NMMA, is a new educational institution located in Flin Flon, Manitoba. It is associated with the University College of the North and is specifically intended to serve the needs of the Northern Manitoban communities with regards to job creation by providing training in a variety of mining, construction, and exploration related areas. NMMA's mission is to provide innovative and responsible solutions for the creation of a knowledgeable, skilled, and sustainable workforce within a vibrant, mineral-rich resource industry. It facilitates strategic training initiatives and research activities in order to strengthen the social, economic, and environmental benefits of a robust mining and resources sector. In terms of education, NMMA offers its own programs, mostly short courses in health and safety, courses organized by the University College of the North (wilderness safety, prospecting, and exploration), and courses organized in association with provincial Industries-Based Safety Programs and Associations (a variety of construction-related trades). However, the programming is not limited to those courses already on the syllabus: the Academy operates on open-doors policy and welcomes people with their unique and diverse needs; it prides itself in its ability to tailor or create specific on-demand courses and deliver them locally in the North. The Northern Manitoba Mining Academy also provides access to its world-class facilities for field-based undergraduate courses, as well as graduate students and researchers doing field work. Full sample preparation facilities are offered to students and scientists in all natural and environmental sciences.

  2. 77 FR 70176 - Previous Participation Certification


    ... URBAN DEVELOPMENT Previous Participation Certification AGENCY: Office of the Chief Information Officer... digital submission of all data and certifications is available via HUD's secure Internet systems. However...: Previous Participation Certification. OMB Approval Number: 2502-0118. Form Numbers: HUD-2530 ....

  3. Bioaccessible lead in soils, slag, and mine wastes from an abandoned mining district in Brazil.

    Bosso, Sérgio T; Enzweiler, Jacinta


    We determined the amount of bioaccessible lead in samples of contaminated soils and in mining and refining wastes collected in the surroundings of a former smelter in a rural area in southeastern Brazil. Previous studies showed that some resident children and adults had blood Pb levels above recommended limits, but the contamination route was not established. The incidental ingestion of contaminated soils and dusts is considered to be a major route of lead uptake by humans. Bioavailability of heavy metals like Pb depends on solubility during digestion. We used in vitro tests that simulate human gastrointestinal (GI) media to measure the amount of soluble Pb under such conditions. Pb in soil and solid waste samples ranged from 0.03 to 4.1% and 1.2 to 15%, respectively. On average, 70% of the lead content was soluble in three different simulated gastric solutions (pH 1.5 and 1.7). For the same samples, lead solubility decreased to 2-22% when the pH was raised to pH 7 to approximate conditions found in the small intestine. These results indicate that if soils and dusts of the area are ingested, most of the lead will dissolve in the stomach, and part of it will remain soluble in the duodenum, i.e., would be potentially available for absorption. These findings may explain the high blood Pb levels previously reported.

  4. The Social Network Mining of BBS

    Lixin Zhou


    Full Text Available Because of the rich and varied resources in internet and social entertainment communities, more and more people or groups are spending their time on discovering the social relationship between others, or finding the core figures for business, political or security reason. In this paper, we build up an SNM solution by analyzing users’ static attribute and interaction of BBS to mine what kinds of attitudes they show to others and what kind of relationship between them using data mining technology, to establish users’ social network, and to find out the key figures in networks.

  5. The Hillcrest mine disaster: Canada's deadliest mining accident

    Baldwin, Corey


    On June 19, 1914, the worst mining incident in Canadian history occurred at the Hillcrest coal mine in the Crowsnest Pass, in the southern Alberta-BC border. An overproduction occurred a few days before the disaster and the mine was then shut down during the two previous days to check for methane gas pockets. As the union committee did not find any, work resumed on June 19 and 234 men entered the mine. At 9:30 a.m. a massive explosion took place followed by one or two other explosions. The entrance to the mine was obstructed trapping the survivors in the mine with a lack of oxygen and rise of CO2 levels up to 50%. Rescue teams entered the mine facing the risk of further explosions and 46 men were saved by the end of the day. To commemorate this accident a monument was built at the entrance to the Hillcrest cemetery in honor of all miners killed on the job in Canada.

  6. Changes in mining-induced seismicity before and after the 2007 Crandall Canyon Mine collapse

    Kubacki, Tex; Koper, Keith D.; Pankow, Kristine L.; McCarter, Michael K.


    On 6 August 2007, the Crandall Canyon Mine in central Utah experienced a major collapse that was recorded as an Mw 4.1 seismic event. Application of waveform cross-correlation detection techniques to data recorded at permanent seismic stations located within ~30 km of the mine has resulted in the discovery of 1494 previously unknown microseismic events related to the collapse. These events occurred between 26 July 2007 and 19 August 2007 and were detected with a magnitude threshold of completeness of 0.0, about 1.6 magnitude units smaller than the threshold associated with conventional techniques. Relative locations for the events were determined using a double-difference approach that incorporated absolute and differential arrival times. Absolute locations were determined using ground-truth reported in mine logbooks. Lineations apparent in the newly detected events have strikes similar to those of known vertical joints in the mine region, which may have played a role in the collapse. Prior to the collapse, seismicity occurred mostly in close proximity to active mining, though several distinct seismogenic hot spots within the mine were also apparent. In the 48 h before the collapse, changes in b value and event locations were observed. The collapse appears to have occurred when the migrating seismicity associated with direct mining activity intersected one of the areas identified as a seismic hot spot. Following the collapse, b values decreased and seismicity clustered farther to the east.

  7. Educational Data Mining Acceptance among Undergraduate Students

    Wook, Muslihah; Yusof, Zawiyah M.; Nazri, Mohd Zakree Ahmad


    The acceptance of Educational Data Mining (EDM) technology is on the rise due to, its ability to extract new knowledge from large amounts of students' data. This knowledge is important for educational stakeholders, such as policy makers, educators, and students themselves to enhance efficiency and achievements. However, previous studies on EDM…

  8. Challenges and Usage of Link Mining to Semantic Web

    Zaved Akhtar


    Full Text Available - It is an emerging challenge for data mining is the problem of mining richly structures datasets, where the objects are linked in some way. Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models. Many datasets of interest today are best described as a linked collection of interrelated objects. These may represent homogeneous networks, in which there is a single-object type and link type (eg. people connected by friendship links, or the WWW, a collection of linked web pages or richer, heterogeneous networks, in which there may be multiple object and link types (and possibly other semantic information. Examples of heterogeneous networks include those in medical domains describing patients, diseases, treatments and contacts, or in bibliographic domains describing publications, authors, and venues. Link mining refers to data mining techniques that explicitly consider these links when building predictive or descriptive models of the linked data. Commonly addressed link mining tasks include object ranking, group detection, collective classification, link prediction and subgraph discovery. This is an exciting and rapidly expanding area. In this article we review some of the common emerging themes and discuss ongoing link mining challenges; open issues and suggest ideas that could be opportunities for solutions. The most conclusion of this article is that providing an idea to usage link mining techniques from link mining to help to construct the Semantic Web.

  9. Commercialization of previously-wasted coal mine gob gas and coalbed methane

    Sakashita, B.J. [Resource Enterprises, Inc., Salt Lake City, UT (United States); Deo, M.D. [Utah Univ., Salt Lake City, UT (United States). Dept. of Chemical and Fuels Engineering


    Enrichment of a gas stream with only one contaminant is a relatively simple process (depending on the contaminant) using available technology. Most of the gas separation technology developed to date addresses this problem. However, gob gas has a unique nature, consisting of five primary constituents, only one of which has any significant value. These constituents are: methane, nitrogen, oxygen, carbon dioxide and water vapor. Each of the four contaminants may be separated from the methane using existing technologies that have varying degrees of complexity and compatibility. However, the operating and cost effectiveness of the combined system is dependent on careful integration of the clean-up processes. In summary, the system design that is expected to be the most favorable from both technical and economic viewpoints is a facility consisting of (1) a PSA nitrogen rejection unit, (2) a catalytic combustion deoxygenation process, (3) an amine or membrane carbon dioxide removal system, and (4) a conventional dehydration unit, as depicted in Figure 1.

  10. Environmental Contamination by Heavy Metals in Region with Previous Mining Activity.

    Musilova, Janette; Arvay, Julius; Vollmannova, Alena; Toth, Tomas; Tomas, Jan


    Due to its status as one of the most contaminated regions in Slovakia, 45 soil and plant samples were collected in the Middle Spis region. In soil, the exchangeable soil reaction, humus content and heavy metals content (Zn, Cd, Cu, Pb, Hg) were determined. Total content of heavy metals (TC-HMs) and content of mobile forms (MF-HMs) in soil, as well as metal content in plants, were determined by atomic absorption spectrometry. The concentration ranges for total Zn, Cd, Cu, Pb and Hg in soil were 33.1-953, 0.65-6.73, 11.0-913, 26.5-165 and 0.28--415 mg/kg, respectively. The overall concentration ranges of these metals in plants of two types (Athyrium filix-femina L. and Poaceae herbs) were 12.4-158.6, 0.10-1.63, 3.34-85.7, 0.09-29.7 and 0.01-12.8 mg/kg, respectively. Despite the values of Zn, Cd, Cu, Pb and Hg content in the soil exceeding limit values, only the Hg content in plants presented an ecological risk.

  11. Coal mining: coal in Spain

    Garcia-Arguelles Martinez, A.; Lugue Cabal, V.


    The Survey of Spanish Coal Resources published by the Centre for Energy Studies in 1979 is without doubt the most serious and full study on this subject. The coal boom of the last few years and the important role it will play in the future, as well as the wealth of new information which has come to light in the research carried out in Spanish coalfields by both the public and private sector, prompted the General Mine Management of the Ministry of Industry and Energy to commission IGME to review and update the previous Survey of Spanish Coal Resources of November 1981.

  12. Social media mining with R

    Heimann, Richard


    A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.

  13. Brainmining emotive lateral solutions

    Theodore Scaltsas


    Full Text Available BrainMining is a theory of creative thinking that shows how we should exploit the mind’s spontaneous natural disposition to use old solutions to address new problems – our Anchoring Cognitive Bias. BrainMining develops a simple and straightforward method to transform recalcitrant problems into types of problems which we have solved before, and then apply an old type of solution to them. The transformation makes the thinking lateral by matching up disparate types of problem and solution. It emphasises the role of emotive judgements that the agent makes, when she discerns whether a change of the values or the emotions and feelings in a situation, which would expand the space of solutions available for the problem at hand, would be acceptable or appropriate in the situation. A lateral solution for an intractable problem is thus spontaneously brainmined from the agent’s old solutions, to solve a transformed version of the intractable problem, possibly involving changes in the value system or the emotional profile of the situation, which the agent judges, emotively, will be acceptable, and even appropriate in the circumstances.

  14. A Fast Algorithm for Mining Sequential Patterns from Large Databases

    CHEN Ning; CHEN An; ZHOU Longxiang; LIU Lu


    Mining sequential patterns from large databases has been recognized by many researchers as an attractive task of data mining and knowledge discovery. Previous algorithms scan the databases for many times, which is often unendurable due to the very large amount of databases. In this paper, the authors introduce an effective algorithm for mining sequential patterns from large databases.In the algorithm, the original database is not used at all for counting the support of sequences after the first pass. Rather, a tidlist structure generated in the previous pass is employed for the purpose based on set intersection operations, avoiding the multiple scans of the databases.

  15. Data mining for service


    Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc. Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.  Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to ...

  16. International symposium on mine rescue


    To celebrate the 80th anniversary of creation of organized mine rescue activities in Poland, a symposium organized by the Central Mine Rescue Station in Bytom and the Association of Mining Engineers and Technicians in Katowice took place on 28-30 September 1987 in Szczyrk and was attended by 53 representatives of mine rescue services from 15 countries. Nineteen papers by Polish participants and 21 papers by foreign participants were presented on three main topics: modern methods of fighting mining hazards; lines of improvement for mine rescue services; modern mine rescue equipment. Polish-made equipment for mine rescue, hazard detection and combating hazards was exhibited. The Central Mine Rescue Station in Bytom presented a tender for such services as technical consulting, expertise, development of technology and direct participation in rescue operations. Participants to the symposium addressed the Organizing Committee of the World Mining Congress to include mine rescue issues in the program of the next Congress.

  17. Mining Frequent Itemsets in Correlated Uncertain Databases

    童咏昕; 陈雷; 佘洁莹


    Recently, with the growing popularity of Internet of Things (IoT) and pervasive computing, a large amount of uncertain data, e.g., RFID data, sensor data, real-time video data, has been collected. As one of the most fundamental issues of uncertain data mining, uncertain frequent pattern mining has attracted much attention in database and data mining communities. Although there have been some solutions for uncertain frequent pattern mining, most of them assume that the data is independent, which is not true in most real-world scenarios. Therefore, current methods that are based on the independent assumption may generate inaccurate results for correlated uncertain data. In this paper, we focus on the problem of mining frequent itemsets over correlated uncertain data, where correlation can exist in any pair of uncertain data objects (transactions). We propose a novel probabilistic model, called Correlated Frequent Probability model (CFP model) to represent the probability distribution of support in a given correlated uncertain dataset. Based on the distribution of support derived from the CFP model, we observe that some probabilistic frequent itemsets are only frequent in several transactions with high positive correlation. In particular, the itemsets, which are global probabilistic frequent, have more significance in eliminating the influence of the existing noise and correlation in data. In order to reduce redundant frequent itemsets, we further propose a new type of patterns, called global probabilistic frequent itemsets, to identify itemsets that are always frequent in each group of transactions if the whole correlated uncertain database is divided into disjoint groups based on their correlation. To speed up the mining process, we also design a dynamic programming solution, as well as two pruning and bounding techniques. Extensive experiments on both real and synthetic datasets verify the effectiveness and efficiency of the proposed model and algorithms.

  18. Radioecological challenges for mining

    Vesterbacka, P.; Ikaeheimonen, T.K.; Solatie, D. [Radiation and Nuclear Safety Authority (Finland)


    In Finland, mining became popular in the mid-1990's when the mining amendments to the law made the mining activities easier for foreign companies. Also the price of the minerals rose and mining in Finland became economically profitable. Expanding mining industry brought new challenges to radiation safety aspect since radioactive substances occur in nearly all minerals. In Finnish soil and bedrock the average crystal abundance of uranium and thorium are 2.8 ppm and 10 ppm, respectively. It cannot be predicted beforehand how radionuclides behave in the mining processes which why they need to be taken into account in mining activities. Radiation and Nuclear Safety Authority (STUK) has given a national guide ST 12.1 based on the Finnish Radiation Act. The guide sets the limits for radiation doses to the public also from mining activities. In general, no measures to limit the radiation exposure are needed, if the dose from the operation liable to cause exposure to natural radiation is no greater than 0.1 mSv per year above the natural background radiation dose. If the exposure of the public may be higher than 0.1 mSv per year, the responsible party must provide STUK a plan describing the measures by which the radiation exposure is to be kept as low as is reasonably achievable. In that case the mining company responsible company has to make a radiological baseline study. The baseline study must focus on the environment that the mining activities may impact. The study describes the occurrence of natural radioactivity in the environment before any mining activities are started. The baseline study lasts usually for two to three years in natural circumstances. Based on the baseline study measurements, detailed information of the existing levels of radioactivity in the environment can be attained. Once the mining activities begin, it is important that the limits are set for the wastewater discharges to the environment and environmental surveillance in the vicinity of

  19. Analysis on safety production in coal mines Henan Province

    KONG Liu-an; ZHANG Wen-yong


    Based on the rigorous situation of safety production in coal mines, the paper analyzed the statistical data of recent accidents indexes in Henan's coal mines. Using investigation and comparison analysis methods, a specified analysis on mining conditions, technical facility level, safety input and vocational quality of workers in Henan's coal mines was conducted. The result indicates that there have been existing such main safety production problems as weak safety management, low-level facilities, inadequate safety input and poor vocational quality and so on. Finally it proposes such reference solutions as to establish and perfect coal mining supervision and management system, to increase safety investment into techniques and facilities and to strengthen workers' safety education and introduction of more high-level professional talents.

  20. Advances In Mining Engineering Education: A Case For Learning Communities

    Michael Hitch


    Full Text Available Mining engineering involves the design, planning and management of operations for the development, production and eventual rehabilitation of resource extraction. These activities draw on a diverse set of skills. University of British Columbia mining engineers have traditionally been highly regarded for their strengths in the technical aspects of mining and mineral process but also for their understanding of the application of principles of sustainability and social responsibility. The current view of the UBC Mining curriculum demands the integration of aspects of environmental and social sciences shaping the future of tertiary engineering education. The solution is developing a curriculum that is focused on key learning objectives that are a reflection of all these external pressures. This paper examines the challenge of curriculum reform and the emergence of learning communities at the Norman B. Keevil Institute of Mining Engineering at the University of British Columbia, Canada.

  1. Microbially mediated carbon mineralization: Geoengineering a carbon-neutral mine

    Power, I. M.; McCutcheon, J.; Harrison, A. L.; Wilson, S. A.; Dipple, G. M.; Southam, G.


    Ultramafic and mafic mine tailings are a potentially valuable feedstock for carbon mineralization, affording the mining industry an opportunity to completely offset their carbon emissions. Passive carbon mineralization has previously been documented at the abandoned Clinton Creek asbestos mine, and the active Diavik diamond mine and Mount Keith nickel mine, yet the majority of tailings remain unreacted. Examples of microbe-carbonate interactions at each mine suggest that biological pathways could be harnessed to promote carbon mineralization. In suitable environmental conditions, microbes can mediate geochemical processes to accelerate mineral dissolution, increase the supply of carbon dioxide (CO2), and induce carbonate precipitation, all of which may accelerate carbon mineralization. Tailings mineralogy and the availability of a CO2 point source are key considerations in designing tailings storage facilities (TSF) for optimizing carbon mineralization. We evaluate the efficacy of acceleration strategies including bioleaching, biologically induced carbonate precipitation, and heterotrophic oxidation of waste organics, as well as abiotic strategies including enhancing passive carbonation through modifying tailings management practices and use of CO2 point sources (Fig. 1). With the aim of developing carbon-neutral mines, implementation of carbon mineralization strategies into TSF design will be driven by economic incentives and public pressure for environmental sustainability in the mining industry. Figure 1. Schematic illustrating geoengineered scenarios for carbon mineralization of ultramafic mine tailings. Scenarios A and B are based on non-point and point sources of CO2, respectively.

  2. Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

    Sahadevan, S; Hofmann-Apitius, M; Schellander, K; Tesfaye, D; Fluck, J; Friedrich, C M


    In biological research, establishing the prior art by searching and collecting information already present in the domain has equal importance as the experiments done. To obtain a complete overview about the relevant knowledge, researchers mainly rely on 2 major information sources: i) various biological databases and ii) scientific publications in the field. The major difference between the 2 information sources is that information from databases is available, typically well structured and condensed. The information content in scientific literature is vastly unstructured; that is, dispersed among the many different sections of scientific text. The traditional method of information extraction from scientific literature occurs by generating a list of relevant publications in the field of interest and manually scanning these texts for relevant information, which is very time consuming. It is more than likely that in using this "classical" approach the researcher misses some relevant information mentioned in the literature or has to go through biological databases to extract further information. Text mining and named entity recognition methods have already been used in human genomics and related fields as a solution to this problem. These methods can process and extract information from large volumes of scientific text. Text mining is defined as the automatic extraction of previously unknown and potentially useful information from text. Named entity recognition (NER) is defined as the method of identifying named entities (names of real world objects; for example, gene/protein names, drugs, enzymes) in text. In animal sciences, text mining and related methods have been briefly used in murine genomics and associated fields, leaving behind other fields of animal sciences, such as livestock genomics. The aim of this work was to develop an information retrieval platform in the livestock domain focusing on livestock publications and the recognition of relevant data from


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


    , corrected by correlating waveforms obtained from theoretical and empirical rotation angles. Full moment tensor solutions have been obtained for selected events within the Savuka network volume, with moment magnitudes in the 0.5 < M{sub W} < 2.6 range. The solutions were obtained by inverting P-, SV-, and SH-spectral amplitudes measured on the theoretically rotated waveforms with visually assigned polarities. Most of the solutions have a non-zero implosive contribution (47 out of 76), while a small percentage is purely deviatoric (10 out of 76). The deviatoric moment tensors range from pure double couple to pure non-double couple mechanisms. We have also calibrated the regional stations for seismic coda-derived source spectra and moment magnitude using the envelope methodology of Mayeda et al. (2003). they tie the coda M{sub w} to independent values from waveform modeling. The resulting coda-based source spectra of shallow mining-related events show significant spectral peaking that is not seen in deeper tectonic earthquakes. This coda peaking may be an independent method of identifying shallow events and is similar to coda peaking with previously observed for Nevada explosions, where the frequency of the observed spectral peak correlates with the depth of burial (Murphy et al., 2009).

  4. Gold-Mining

    Raaballe, J.; Grundy, B.D.


    of operating gold mines. Asymmetric information on the reserves in the mine implies that, at a high enough price of gold, the manager of high type finds the extraction value of the company to be higher than the current market value of the non-operating gold mine. Due to this under valuation the maxim of market...... value maximization forces the manager of high type to extract the gold.The implications are three-fold. First, all managers (except the lowest type) extract the gold too soon compared to the first-best policy of leaving the gold in the mine forever. Second, a manager of high type extracts the gold...... sooner than a manager of lower type. Third, a non-operating gold mine is valued as being of the lowest type in the pool and all else equal, high-asymmetri mines are valued lower than low-asymmetri mines. In a qualitative sense these results are robust with respect to different assumptions (re cost...

  5. Implementation of Paste Backfill Mining Technology in Chinese Coal Mines

    Qingliang Chang; Jianhang Chen; Huaqiang Zhou; Jianbiao Bai


    Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology a...

  6. Assay and analytical practice in the South African mining industry

    Lenahan, W.C.; Murray-Smith, R. de L.


    Contains chapters with the following titles: laboratory design; the preparation of mine samples; the furnace room; balances and mass measurement; the fire assay; sampling and the preparation of samples from metallurgical plants; the determination of gold in cyanide solutions; particle size analysis; the analysis of uranium prospecting, mining and extraction plant samples; the assay of gold bullion and some associated methods of analysis, special methods for the assay of complex materials and geological prospecting samples; the analysis of mine air; pH and electrometric measurement; the treatment and analysis of water and effluents; the sample preparation; analysis and testing of coal (and coke); the analysis of miscellaneous mine materials; the determination of base metals in ores and related materials; the determination of platinum group metals; the analysis of cyanide solutions; the determination of sulphur in ores and related materials; statistical control of analytical practice.

  7. A Noise Addition Scheme in Decision Tree for Privacy Preserving Data Mining

    Kadampur, Mohammad Ali


    Data mining deals with automatic extraction of previously unknown patterns from large amounts of data. Organizations all over the world handle large amounts of data and are dependent on mining gigantic data sets for expansion of their enterprises. These data sets typically contain sensitive individual information, which consequently get exposed to the other parties. Though we cannot deny the benefits of knowledge discovery that comes through data mining, we should also ensure that data privacy is maintained in the event of data mining. Privacy preserving data mining is a specialized activity in which the data privacy is ensured during data mining. Data privacy is as important as the extracted knowledge and efforts that guarantee data privacy during data mining are encouraged. In this paper we propose a strategy that protects the data privacy during decision tree analysis of data mining process. We propose to add specific noise to the numeric attributes after exploring the decision tree of the original data. T...

  8. Distributed Framework for Data Mining As a Service on Private Cloud

    Shraddha Masih


    Full Text Available Data mining research faces two great challenges: i. Automated mining ii. Mining of distributed data. Conventional mining techniques are centralized and the data needs to be accumulated at central location. Mining tool needs to be installed on the computer before performing data mining. Thus, extra time is incurred in collecting the data. Mining is 4 done by specialized analysts who have access to mining tools. This technique is not optimal when the data is distributed over the network. To perform data mining in distributed scenario, we need to design a different framework to improve efficiency. Also, the size of accumulated data grows exponentially with time and is difficult to mine using a single computer. Personal computers have limitations in terms of computation capability and storage capacity. Cloud computing can be exploited for compute-intensive and data intensive applications. Data mining algorithms are both compute and data intensive, therefore cloud based tools can provide an infrastructure for distributed data mining. This paper is intended to use cloud computing to support distributed data mining. We propose a cloud based data mining model which provides the facility of mass data storage along with distributed data mining facility. This paper provide a solution for distributed data mining on Hadoop framework using an interface to run the algorithm on specified number of nodes without any user level configuration. Hadoop is configured over private servers and clients can process their data through common framework from anywhere in private network. Data to be mined can either be chosen from cloud data server or can be uploaded from private computers on the network. It is observed that the framework is helpful in processing large size data in less time as compared to single system.

  9. Data Mining Ontology Development for High User Usability


    This paper mainly introduces the development and implementation of the user-centered data mining service ontology on Universal Knowledge Grid (UKG). UKG is an ontology-based grid architecture model to build large-scale distributed knowledge discovery system on the grid. The data mining ontology services are the main service offering by UKG. It can meet the user requirements of knowledge discovery in different domains and different hierarchies and make the system exoteric, extensible and high usable. A data mining solution for money laundering is introduced.

  10. Application of text mining for customer evaluations in commercial banking

    Tan, Jing; Du, Xiaojiang; Hao, Pengpeng; Wang, Yanbo J.


    Nowadays customer attrition is increasingly serious in commercial banks. To combat this problem roundly, mining customer evaluation texts is as important as mining customer structured data. In order to extract hidden information from customer evaluations, Textual Feature Selection, Classification and Association Rule Mining are necessary techniques. This paper presents all three techniques by using Chinese Word Segmentation, C5.0 and Apriori, and a set of experiments were run based on a collection of real textual data that includes 823 customer evaluations taken from a Chinese commercial bank. Results, consequent solutions, some advice for the commercial bank are given in this paper.

  11. Modeling two-dimensional water flow and bromide transport in a heterogeneous lignitic mine soil

    Buczko, U.; Gerke, H.H. [Brandenburg University of Technology, Cottbus (Germany)


    Water and solute fluxes in lignitic mine soils and in many other soils are often highly heterogeneous. Here, heterogeneity reflects dumping-induced inclined structures and embedded heterogeneous distributions of sediment mixtures and of lignitic fragments. Such two-scale heterogeneity effects may be analyzed through the application of two-dimensional models for calculating water and solute fluxes. The objective of this study was to gain more insight to what extent spatial heterogeneity of soil hydraulic parameters contributes to preferential flow at a lignitic mine soil. The simulations pertained to the 'Barenbrucker Hohe' site in Germany where previously water fluxes and applied tracers had been monitored with a cell lysimeter, and from where a soil block had been excavated for detailed two-dimensional characterization of the hydraulic parameters using pedotransfer functions. Based on those previous studies, scenarios with different distributions of hydraulic parameters were simulated. The results show that spatial variability of hydraulic parameters alone can hardly explain the observed flow patterns. The observed preferential flow at the site was probably caused by additional factors such as hydrophobicity, the presence of root channels, anisotropy in the hydraulic conductivity, and heterogeneous root distributions. To study the relative importance of these other factors by applying two-dimensional flow models to such sites, the experimental database must be improved. Single-continuum model approaches may be insufficient for such sites.

  12. DataMining with Grid Computing Concepts

    Mohammad Ashfaq Hussain


    Full Text Available Now days the organizations often use data from several resources. Data is characterized to be heterogeneous, unstructured and usually involves a huge amount of records. This implies that data must be transformed in a set of clusters, parts, rules or different kind of formulae, which helps to understand the exact information. The participation of several organizations in this process makes the assimilation of data more difficult. Data mining is a widely used approach for the transformation of data to useful patterns, aiding the comprehensive knowledge of the concrete domain information. Nevertheless, traditional data mining techniques find difficulties in their application on current scenarios, due to the complexity previously mentioned. Data Mining Grid tries to fix these problems, allowing data mining process to be deployed in a grid environment, in which data and services resources are geographically distributed belong to several virtual organizations and the security can be flexibly solved. We propose both a novel architecture for Data Mining Grid, named DMG.

  13. SME mining engineering handbook

    Darling, Peter


    ...) 948-4200 / (800) 763-3132 SME advances the worldwide mining and minerals community through information exchange and professional development. With members in more than 70 countrie...

  14. Ensemble Data Mining Methods

    National Aeronautics and Space Administration — Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve...




    This is a brief reference to mining sustainability in Colombia. First, it discusses the concept of sustainability and its relationship to mineral resources, covering topics of ethical, economical and environmental issues...

  16. Mining and robotized equipment

    Krisztian, B.


    The general concepts about the expedience of using industrial robots (PR) in mining and about the most rational fields of their use are cited. The achievements in creating industrial robots for the needs of the mining industry in the USSR, Sweden (the ASEA Company), in the United States (Westinghouse Electric and Cincinnati Milacron Companies) and in Japan (the Fupitsu Fanuk Company) are noted. The necessity in a whole number of cases of a fundamental restructuring of the productive processes with respect to the planned introduction of industrial robots in mining enterprises is stressed. The questions associated with the necessity for changes introduced into systems for automating industrial processes with the introduction of industrial robots into them are also discussed. The prospects for the development, creation and introduction of industrial robots in the Hungarian (VNR) mining industry are indicated in conclusion.

  17. Post-mining in Walloon region; L'apres-mine en region wallonne

    Arnould, R. [Liege Univ. (Belgium); Delbeuck, C.; Flamion, B. [Direction Generale des Ressources naturelles et de l' Environnement, Jambes (Belgium)


    several studies are presently undertaken in the Walloon Region so as to assess the long term environmental impact caused by the shutting down of coal mines and their pumping operations. In many locations, new problems are encountered, such as sudden underground water appearance at hill slopes, coal heaps instability or flooding of underground cellars. Slope instability increase risks. The main goals of the presented studies are to suppress or at least to limit those risks and inconveniences and propose solutions to be implemented in the framework of the existing dewatering facilities built by the Walloon Region and local authorities in mines induced subsidence areas. (authors)

  18. Environmental Monitoring at the Nalunaq Gold Mine, South Greenland, 2011

    Bach, Lis; Asmund, Gert; Søndergaard, Jens

    This eighth environmental monitoring programme was conducted in the Nalunaq area, about 40 km from Nanortalik, South Greenland, from 29 August to 12 September 2011. The environmental monitoring program is conducted to trace and avoid unwanted impacts of the mining industry to the environment. Since...... to the use of cyanide to extract gold from the ore, strict control with the outfl ow of cyanide from the mine to the Kirkespir Valley is performed. The described impact on the environment of the Kirkespir Valley, both terrestrial, freshwater and marine, is considered to be minor, and is generally lower than...... the monitoring in 2010, the mining company Gold Angel Mining A/S is breaking new ore, but is also carrying previously broken ore with low grade back to the mine with vehicles with limited speed and load capacity. The gold is recovered by the use of chemical extraction (carbon-in-pulp) using cyanide. Due...

  19. Efficient mining of association rules based on gravitational search algorithm

    Fariba Khademolghorani


    Full Text Available Association rules mining are one of the most used tools to discover relationships among attributes in a database. A lot of algorithms have been introduced for discovering these rules. These algorithms have to mine association rules in two stages separately. Most of them mine occurrence rules which are easily predictable by the users. Therefore, this paper discusses the application of gravitational search algorithm for discovering interesting association rules. This evolutionary algorithm is based on the Newtonian gravity and the laws of motion. Furthermore, contrary to the previous methods, the proposed method in this study is able to mine the best association rules without generating frequent itemsets and is independent of the minimum support and confidence values. The results of applying this method in comparison with the method of mining association rules based upon the particle swarm optimization show that our method is successful.

  20. Analysis and modelling of geological and economical parameters influencing mining of slovak magnesite deposits and its impact on the environment on the example of the Košice-Bankov deposit

    Blišan Peter


    Full Text Available Magnesite deposits in Slovakia are mined economically using underground methods. Their reserves and output represent an important part of the world onst. Therefore, it is necessary to pay attention to the analysis and modelling of geological-economical and environmental parameters influencing the mining of slovak magnesite deposits.Quality of raw material or deposit is among crucial factors influencing the industrial output of magnesites. This parameter significantly influences the mining and processing technologies. New methods of prospecting, exploration and reserve calculations need the re-evaluation of existing criteria for the determination of economical importance. Modern technologies are capable to utilise also previous noneconomical parts of the deposit what causes a need for the re-evaluation of existing methods of ore reserves determination and for the introduction and testing of modern methods of the ore reserves determination.Impact on the environment is also an important aspect of the mining activity. It is necessary to monitor and evaluate this problem consequently. Many new environmental studies confirm a negative impact of the magnesite mining on the nature and human society. Therefore, beside the problems of analysis and modelling of geological- economical parameters, the analysis of environmental aspects of mining is also unevitable to be included into the solution of the project. Modern monitoring systems based on the geographic information systems (GIS are intensively used for such analysis at the present time. Their assistance during collecting, elaborating and evaluating the research results is recently to hardly be replaceable.

  1. Limitations in small artisanal gold mining addressed by educational components paired with alternative mining methods.

    Zolnikov, Tara R


    Current solutions continue to be inadequate in addressing the longstanding, worldwide problem of mercury emissions from small artisanal gold mining. Mercury, an inexpensive and easily accessible heavy metal, is used in the process of extracting gold from ore. Mercury emissions disperse, affecting human populations by causing adverse health effects and environmental and social ramifications. Many developing nations have sizable gold ore deposits, making small artisanal gold mining a major source of employment in the world. Poverty drives vulnerable, rural populations into gold mining because of social and economic instabilities. Educational programs responding to this environmental hazard have been implemented in the past, but have had low positive results due to lack of governmental support and little economic incentive. Educational and enforced intervention programs must be developed in conjunction with governmental agencies in order to successfully eliminate this ongoing problem. Industry leaders offered hopeful suggestions, but revealed limitations when trying to develop encompassing solutions to halt mercury emissions. This research highlights potential options that have been attempted in the past and suggests alternative solutions to improve upon these methods. Some methods include buyer impact recognition, risk assessment proposals exposing a cost-benefit analysis and toxicokinetic modeling, public health awareness campaigns, and the education of miners, healthcare workers, and locals within hazardous areas of mercury exposure. These methods, paired with the implementation of alternative mining techniques, propose a substantial reduction of mercury emissions.

  2. Investigation and characterization of mining subsidence in Kaiyang Phosphorus Mine

    DENG Jian; BIAN Li


    In Kaiyang Phosphorus Mine, serious environmental and safety problems are caused by large scale mining activities in the past 40 years. These problems include mining subsidence, low recovery ratio, too much dead ore in pillars, and pollution of phosphorus gypsum. Mining subsidence falls into four categories: curved ground and mesa, ground cracks and collapse hole, spalling and eboulement, slope slide and creeping. Measures to treat the mining subsidence were put forward: finding out and managing abandoned stopes, optimizing mining method (cut and fill mining method), selecting proper backfilling materials (phosphogypsum mixtures), avoiding disorder mining operation, and treating highway slopes. These investigations and engineering treatment methods are believed to be able to contribute to the safety extraction of ore and sustainable development in Kaiyang Phosphorus Mine.

  3. Land Mines (Landminen)


    Probably the most sensitive area of an armored vehicle at that time was the track. Therefore, all countries endeavored to design prepared charges...of mines, for instance through improved explosives and the shaped charge principle, the basic principle of the funcion and design of antitank mines...dispersed over a large area . In most cases, the fragments are lethal up to adistance of 10 m and beyond, and cause serious injuries even at a distance of

  4. Asteroid Mining and Prospecting

    Esty, Thomas


    There has been a recent increase in interest in the idea of mining asteroids, as seen from the founding of multiple companies who seek to make this science fiction idea science fact. We analyzed a number of prior papers on asteroids to make an estimate as to whether mining asteroids is within the realm of possibility. Existing information on asteroid number, composition, and orbit from past research was synthesized with a new analysis using binomial statistics of the number of probes that wou...


    Slavko Vujec


    Full Text Available The trends of World and European mine industry is presented with introductory short review. The mining industry is very important in economy of Croatia, because of cover most of needed petroleum and natural gas quantity, total construction raw materials and industrial non-metallic raw minerals. Detail quantitative presentation of mineral raw material production is compared with pre-war situation. The value of annual production is represented for each raw mineral (the paper is published in Croatian.

  6. Applied data mining

    Xu, Guandong


    Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

  7. Web Mining: An Overview

    P. V. G. S. Mudiraj B. Jabber K. David raju


    Full Text Available Web usage mining is a main research area in Web mining focused on learning about Web users and their interactions with Web sites. The motive of mining is to find users’ access models automatically and quickly from the vast Web log data, such as frequent access paths, frequent access page groups and user clustering. Through web usage mining, the server log, registration information and other relative information left by user provide foundation for decision making of organizations. This article provides a survey and analysis of current Web usage mining systems and technologies. There are generally three tasks in Web Usage Mining: Preprocessing, Pattern analysis and Knowledge discovery. Preprocessing cleans log file of server by removing log entries such as error or failure and repeated request for the same URL from the same host etc... The main task of Pattern analysis is to filter uninteresting information and to visualize and interpret the interesting pattern to users. The statistics collected from the log file can help to discover the knowledge. This knowledge collected can be used to take decision on various factors like Excellent, Medium, Weak users and Excellent, Medium and Weak web pages based on hit counts of the web page in the web site. The design of the website is restructured based on user’s behavior or hit counts which provides quick response to the web users, saves memory space of servers and thus reducing HTTP requests and bandwidth utilization. This paper addresses challenges in three phases of Web Usage mining along with Web Structure Mining.This paper also discusses an application of WUM, an online Recommender System that dynamically generates links to pages that have not yet been visited by a user and might be of his potential interest. Differently from the recommender systems proposed so far, ONLINE MINER does not make use of any off-line component, and is able to manage Web sites made up of pages dynamically generated.

  8. Solution on performance curves of mine ventilator based on least absolute deviation criteria%基于最小一乘准则求解矿井通风机性能曲线

    唐辉雄; 赵伏军; 张柏; 陈珂


    在处理矿井通风机实测数据时,传统的拟合算法很难得到最佳的拟合曲线,曲线精度不高,难以反映实际情况。针对这一问题,提出了最小一乘法求解矿井通风机性能曲线,以零偏差点个数、零偏差点比率、总偏差、平均偏差和偏差率作为评估拟合通风机性能曲线的精度指标。通过对现场实测通风机数据进行三次多项式拟合,结果表明:最小一乘法拟合的曲线方程出现了多个零偏差点,减少了异常点对曲线方程的影响,具有更高的精度。%The conventional fitting algorithm is hard to get the best fitting curve when processing test data of mine ventilator , and the precision is low , so it is difficult to reflect the actual situation .Aiming at this problem , the method of applying least absolute deviation to solve performance curves of mine ventilator was proposed , and some precision indexes , such as zero bias deviation number , zero deviation point ratio , total deviation , average deviation and deviation rate , were selected to evaluate the fitting performance curves of ventilator .Through on-site ventilation measurement data , a cubic polynomial fitting was conducted .The result showed that the curve equation fitted by least squares fitting appears many zero bias point .It can reduce the influence of curvilinear equation result from ab-normal point , and has a higher accuracy .

  9. Natural attenuation of mining pollutants in the transboundary Save River

    Meck, M. L.; Masamba, W. R. L.; Atlhopheng, J.; Ringrose, S.

    The objective of the study was to investigate the role played by the natural environment in protecting the transboundary Save River from the impacts of metals derived from phosphate mining at Dorowa. The study is a follow up study from a previous one that noted that there is natural attenuation at Dorowa. Water and sediment samples were collected in the Save River and the streams that drain the Dorowa dumps. Inductively coupled plasma mass spectrometry (ICP-MS) was used to analyze the cations (Na +, K +, Ca 2+, Mg 2+, Cu 2+, Co 2+, Fe 2+, Ni 2+, Zn 2+, Pb 2+, Sn 2+, Mn 2+, Cd 2+) in the samples. Major anions Cl -, SO42- and NO3- were analyzed by standard chromatography whilst CO32- and HCO3- were determined by titration. pH was measured on site. Geochemical modeling of the water composition was conducted with Visual Minteq. The results show that natural attenuation is being achieved through precipitation of solids from the water and subsequent deposition onto the sediments. Six of the metals are almost completely precipitated (Cu 99.99%, Fe 99.39%, Ni 91.24%, Pb 99.87%, Sn 99.99% and Zn 88.66%). However Mn, Co and Cd remain in solution. Thus the natural environment is protecting the Save River which is a transboundary river from the impacts of mining through precipitation of the metals. Users downstream of Dorowa mine are therefore not being affected by mining pollution. This study demonstrates that besides being a legitimate and important user of water, the natural environment can also play a significant role in protecting water quality by attenuating metals naturally. By analyzing costs incurred in several places where alternative methods are employed to remediate metal related pollution the study concludes that natural remediation at Dorowa is saving the nation in environmental costs. Therefore the paper advocates for appreciation of the role that the natural environment plays in protecting ecosystems from the impact of human developments and environmental costs


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


    locations may move a few hundreds of meters. The full moment tensor determination has revealed that the most common focal mechanism (47 out of 82 solutions for events in the 0.2 < ML < 4.1 range) consists of a similar percentage of isotropic (implosive) and deviatoric components, with a normal fault-type best double couple. We have also calibrated the regional stations for seismic coda derived source spectra and moment magnitude using the envelope methodology of Mayeda et al (2003). We tie the coda Mw to independent values from waveform modeling. The resulting coda-based source spectra of shallow mining-related events show significant spectral peaking that is not seen in deeper tectonic earthquakes. This coda peaking may be an independent method of identifying shallow events and is similar to coda peaking previously observed for Nevada explosions, where the frequency of the observed spectral peak correlates with depth of burial (Murphy et al., 2008).

  11. Integrating Data Mining Techniques into Telemedicine Systems

    Mihaela GHEORGHE


    Full Text Available The medical system is facing a wide range of challenges nowadays due to changes that are taking place in the global healthcare systems. These challenges are represented mostly by economic constraints (spiraling costs, financial issues, but also, by the increased emphasis on accountability and transparency, changes that were made in the education field, the fact that the biomedical research keeps growing in what concerns the complexities of the specific studies etc. Also the new partnerships that were made in medical care systems and the great advances in IT industry suggest that a predominant paradigm shift is occurring. This needs a focus on interaction, collaboration and increased sharing of information and knowledge, all of these may is in turn be leading healthcare organizations to embrace the techniques of data mining in order to create and sustain optimal healthcare outcomes. Data mining is a domain of great importance nowadays as it provides advanced data analysis techniques for extracting the knowledge from the huge volumes of data collected and stored by every system of a daily basis. In the healthcare organizations data mining can provide valuable information for patient's diagnosis and treatment planning, customer relationship management, organization resources management or fraud detection. In this article we focus on describing the importance of data mining techniques and systems for healthcare organizations with a focus on developing and implementing telemedicine solution in order to improve the healthcare services provided to the patients. We provide architecture for integrating data mining techniques into telemedicine systems and also offer an overview on understanding and improving the implemented solution by using Business Process Management methods.

  12. Previous degassing of coal beds in the Jiu Valley coalfield - energy source for local community

    Lupu, C.; Jurca, L. [National Institute for Safety in Mine and Explosion Protection, Petrosani (Romania)


    The restructuring process of the Romanian mining industry required by transition to the market economy aims at raising of the labour productivity in a safe environment. This paper presents the systems and methods for degassing the coal beds employed in the coalfield of the Jiu Valley, in accordance with the specific geological conditions and the used mining methods. Researches were carried out aiming to determine the fissuring amplitude and permeability of the neighbouring rock mass, and the coal beds. These researches showed raises of methane emissions when the rocks in the roof or in the floor of the coal beds were sandstones or sandstone marls. A previous degassing of the coal beds is put into practice in the coalfield of the Jiu Valley. This process is accomplished both in a 'central' system with equipment placed outside the mine and in a 'local' system, using ejectors to catch methane. These ejectors are placed at the level of the underground mining works. The caught methane is discharged either into air when the aspiration equipment are placed outside the mine or trough discharge air flows of the polluted air from underground when underground ejectors are used. The caught methane amounts the values between 4.5 and 6 m{sub 3}/min, for the aspiration equipment placed outside the mine and 0.8-1.5 m{sub 3}/min, when the 'local' degassing system is employed. Taking into account the fact that methane caught in underground is an energy source and the greenhouse effect is increased when methane is discharged into the fresh air, there has been considered to be a good thing both for the needs of the producing units and for the local community that methane should be submitted to an industrial exploitation. 10 refs., 1 fig.

  13. Semi-Trusted Mixer Based Privacy Preserving Distributed Data Mining for Resource Constrained Devices

    Kaosar, Md Golam


    In this paper a homomorphic privacy preserving association rule mining algorithm is proposed which can be deployed in resource constrained devices (RCD). Privacy preserved exchange of counts of itemsets among distributed mining sites is a vital part in association rule mining process. Existing cryptography based privacy preserving solutions consume lot of computation due to complex mathematical equations involved. Therefore less computation involved privacy solutions are extremely necessary to deploy mining applications in RCD. In this algorithm, a semi-trusted mixer is used to unify the counts of itemsets encrypted by all mining sites without revealing individual values. The proposed algorithm is built on with a well known communication efficient association rule mining algorithm named count distribution (CD). Security proofs along with performance analysis and comparison show the well acceptability and effectiveness of the proposed algorithm. Efficient and straightforward privacy model and satisfactory perf...

  14. Subsequent pregnancy outcome after previous foetal death

    Nijkamp, J. W.; Korteweg, F. J.; Holm, J. P.; Timmer, A.; Erwich, J. J. H. M.; van Pampus, M. G.


    Objective: A history of foetal death is a risk factor for complications and foetal death in subsequent pregnancies as most previous risk factors remain present and an underlying cause of death may recur. The purpose of this study was to evaluate subsequent pregnancy outcome after foetal death and to

  15. CANINE: a robotic mine dog

    Stancil, Brian A.; Hyams, Jeffrey; Shelley, Jordan; Babu, Kartik; Badino, Hernán.; Bansal, Aayush; Huber, Daniel; Batavia, Parag


    Neya Systems, LLC competed in the CANINE program sponsored by the U.S. Army Tank Automotive Research Development and Engineering Center (TARDEC) which culminated in a competition held at Fort Benning as part of the 2012 Robotics Rodeo. As part of this program, we developed a robot with the capability to learn and recognize the appearance of target objects, conduct an area search amid distractor objects and obstacles, and relocate the target object in the same way that Mine dogs and Sentry dogs are used within military contexts for exploration and threat detection. Neya teamed with the Robotics Institute at Carnegie Mellon University to develop vision-based solutions for probabilistic target learning and recognition. In addition, we used a Mission Planning and Management System (MPMS) to orchestrate complex search and retrieval tasks using a general set of modular autonomous services relating to robot mobility, perception and grasping.

  16. Usage of Data Mining at Financial Decision Making

    Levent BORAN


    Full Text Available The knowledge age requires controlling every kind of information. Recognition of patterns in data may provide previously unknown and useful information that can provide competitive advantages. If related techniques are applied on financial statements, it is possible to acquire valuable information about companies’ financial situations. It is considered that data mining could be an alternative of common financial analysis techniques such as vertical analysis, horizontal analysis, trend analysis and ratio analysis. Against existing financial analysis methods, data mining provides some advantages, which are ability of manipulation of huge data and competence of obtaining previously unknown information. There exist two major constraints of data mining implementation that are lack of experts on both data mining and related domains and cost of computer software and hardware used.

  17. Data mining in Cloud Computing

    Ruxandra-Ştefania PETRE


    Full Text Available This paper describes how data mining is used in cloud computing. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Every day people are confronted with targeted advertising, and data mining techniques help businesses to become more efficient by reducing costs.Data mining techniques and applications are very much needed in the cloud computing paradigm. The implementation of data mining techniques through Cloud computing will allow the users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage.

  18. Bioreactor for acid mine drainage control

    Zaluski, Marek H.; Manchester, Kenneth R.


    A bioreactor for reacting an aqueous heavy metal and sulfate containing mine drainage solution with sulfate reducing bacteria to produce heavy metal sulfides and reduce the sulfuric acid content of the solution. The reactor is an elongated, horizontal trough defining an inlet section and a reaction section. An inlet manifold adjacent the inlet section distributes aqueous mine drainage solution into the inlet section for flow through the inlet section and reaction section. A sulfate reducing bacteria and bacteria nutrient composition in the inlet section provides sulfate reducing bacteria that with the sulfuric acid and heavy metals in the solution to form solid metal sulfides. The sulfate reducing bacteria and bacteria nutrient composition is retained in the cells of a honeycomb structure formed of cellular honeycomb panels mounted in the reactor inlet section. The honeycomb panels extend upwardly in the inlet section at an acute angle with respect to the horizontal. The cells defined in each panel are thereby offset with respect to the honeycomb cells in each adjacent panel in order to define a tortuous path for the flow of the aqueous solution.

  19. Tellurium Mobility Through Mine Environments

    Dorsk, M.


    Tellurium is a rare metalloid that has received minimal research regarding environmental mobility. Observations of Tellurium mobility are mainly based on observations of related metalloids such as selenium and beryllium; yet little research has been done on specific Tellurium behavior. This laboratory work established the environmental controls that influence Tellurium mobility and chemical speciation in aqueous driven systems. Theoretical simulations show possible mobility of Te as Te(OH)3[+] at highly oxidizing and acidic conditions. Movement as TeO3[2-] under more basic conditions may also be possible in elevated Eh conditions. Mobility in reducing environments is theoretically not as likely. For a practical approach to investigate mobility conditions for Te, a site with known Tellurium content was chosen in Colorado. Composite samples were selected from the top, center and bottom of a tailings pile for elution experiments. These samples were disintegrated using a rock crusher and pulverized with an automated mortar and pestle. The material was then classified to 70 microns. A 10g sample split was digested in concentrated HNO3 and HF and analyzed by Atomic Absorption Spectroscopy to determine initial Te concentrations. Additional 10g splits from each location were subjected to elution in 100 mL of each of the following solutions; nitric acid to a pH of 1.0, sulfuric acid to a pH of 2.0, sodium hydroxide to a pH of 12, ammonium hydroxide to a pH of 10, a pine needle/soil tea from material within the vicinity of the collection site to a pH of 3.5 and lastly distilled water to serve as control with a pH of 7. Sulfuric acid was purposefully chosen to simulate acid mine drainage from the decomposition of pyrite within the mine tailings. Sample sub sets were also inundated with 10mL of a 3% hydrogen peroxide solution to induce oxidizing conditions. All collected eluates were then analyzed by atomic absorption spectroscopy (AAS) to measure Tellurium concentrations in

  20. Induced vaginal birth after previous caesarean section

    Akylbek Tussupkaliyev; Andrey Gayday; Bibigul Karimsakova; Saule Bermagambetova; Lunara Uteniyazova; Guldana Iztleuova; Gulkhanym Kusherbayeva; Meruyert Konakbayeva; Assylzada Merekeyeva; Zamira Imangaliyeva


    Introduction The rate of operative birth by Caesarean section is constantly rising. In Kazakhstan, it reaches 27 per cent. Research data confirm that the percentage of successful vaginal births after previous Caesarean section is 50–70 per cent. How safe the induction of vaginal birth after Caesarean (VBAC) remains unclear. Methodology The studied techniques of labour induction were amniotomy of the foetal bladder with the vulsellum ramus, intravaginal administra...

  1. Automation in coal mining

    Thring, M.W.


    A study of the 21st century energy situation shows that coal must be the principal fuel, gradually followed by the renewable fuels which require fossil fuel to make and build the equipment. As oil runs out a substitute liquid fuel will have to be made from coal and from biomass because oil is uniquely suitable for road, sea and air transport and for agriculture. Coal can be mined without men going underground by directed drilling and by Telechirics - hands at a distance. In Telechiric mining, the coal would be won by conventional mining machinery but the human miners would erect, operate, maintain and repair this machinery by sitting in a control room on the surface and controlling telechirs which could move about the mine and would have mechanical hands which would respond exactly to every movement of the human master's hands. He would have touch and force feedback and three dimensional vision so good that he could use his trained craft skill of hands and eyes as though he were down the mine.

  2. Electrodialytic remediation of copper mine tailings.

    Hansen, Henrik K; Rojo, Adrián; Ottosen, Lisbeth M


    Mining activities in Chile have generated large amounts of solid waste, which have been deposited in mine tailing impoundments. These impoundments cause concern to the communities due to dam failures or natural leaching to groundwater and rivers. This work shows the laboratory results of nine electrodialytic remediation experiments on copper mine tailings. The results show that electric current could remove copper from watery tailing if the potential gradient was higher than 2 V/cm during 21 days. With addition of sulphuric acid, the process was enhanced because the pH decreased to around 4, and the copper by this reason was released in the solution. Furthermore, with acidic tailing the potential gradient was less than 2 V/cm. The maximum copper removal reached in the anode side was 53% with addition of sulphuric acid in 21 days experiment at 20 V using approximately 1.8 kg mine tailing on dry basis. In addition, experiments with acidic tailing show that the copper removal is proportional with time.

  3. Stress monitoring versus microseismic ruptures in an active deep mine

    Tonnellier, Alice; Bouffier, Christian; Bigarré, Pascal; Nyström, Anders; Österberg, Anders; Fjellström, Peter


    monitoring data coming from the mine in quasi-real time and facilitates information exchanges and decision making for experts and stakeholders. On the basis of these data acquisition and sharing, preliminary analysis has been started to highlight whether stress variations and seismic sources behaviour might be directly bound with mine working evolution and could improve the knowledge on the equilibrium states inside the mine. Knowing such parameters indeed will be a potential solution to understand better the response of deep mining activities to the exploitation solicitations and to develop, if possible, methods to prevent from major hazards such as rock bursts and other ground failure phenomena.

  4. Journey from Data Mining to Web Mining to Big Data

    Gupta, Richa


    This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big data today using fast and novel approaches.

  5. Dynamics of Sandwaves under Combined Wave - Current Forcing and Mine Burial Processes, and RIVET I and Mine Burial Analysis


    the mine burial project has been documented in previous annual reports. Preparation of new side-looking multibeam bedform imaging sonars and mine...Instrumentation for Plume, Sediment and Bed Dynamics in Energetic Coastal Environments: A Multibeam Sidescan Sonar and Portable Turbulance Profiler”) is of optical measurements of particle dynamics (Environmental Optics ), and integrating the pcADPs on Geyer’s MAST (Physical Oceanography). The

  6. Personal continuous route pattern mining

    Qian YE; Ling CHEN; Gen-cai CHEN


    In the daily life, people often repeat regular routes in certain periods. In this paper, a mining system is developed to find the continuous route patterns of personal past trips. In order to count the diversity of personal moving status, the mining system employs the adaptive GPS data recording and five data filters to guarantee the clean trips data. The mining system uses a client/server architecture to protect personal privacy and to reduce the computational load. The server conducts the main mining procedure but with insufficient information to recover real personal routes. In order to improve the scalability of sequential pattern mining, a novel pattern mining algorithm, continuous route pattern mining (CRPM), is proposed. This algorithm can tolerate the different disturbances in real routes and extract the frequent patterns. Experimental results based on nine persons' trips show that CRPM can extract more than two times longer route patterns than the traditional route pattern mining algorithms.

  7. Data mining methods

    Chattamvelli, Rajan


    DATA MINING METHODS, Second Edition discusses both theoretical foundation and practical applications of datamining in a web field including banking, e-commerce, medicine, engineering and management. This book starts byintroducing data and information, basic data type, data category and applications of data mining. The second chapterbriefly reviews data visualization technology and importance in data mining. Fundamentals of probability and statisticsare discussed in chapter 3, and novel algorithm for sample covariants are derived. The next two chapters give an indepthand useful discussion of data warehousing and OLAP. Decision trees are clearly explained and a new tabularmethod for decision tree building is discussed. The chapter on association rules discusses popular algorithms andcompares various algorithms in summary table form. An interesting application of genetic algorithm is introduced inthe next chapter. Foundations of neural networks are built from scratch and the back propagation algorithm is derived...

  8. 30 CFR 77.1200 - Mine map.


    ... SAFETY STANDARDS, SURFACE COAL MINES AND SURFACE WORK AREAS OF UNDERGROUND COAL MINES Maps § 77.1200 Mine...) The location of railroad tracks and public highways leading to the mine, and mine buildings of a permanent nature with identifying names shown; (k) Underground mine workings underlying and within 1,000...

  9. On-Site Radon Detection of Mining-induced Fractures from Overlying Strata to the Surface: A Case Study of the Baoshan Coal Mine in China

    Wei Zhang


    Full Text Available Large-scale longwall mining of shallow coal seams may cause mining-induced fractures that can project completely through to the surface. This could lead to a series of mine safety and environmental issues, further deteriorating the already fragile ecological environment in the Western mining areas in China. Therefore, an accurate and effective understanding of the spatiotemporal evolution law of mining-induced fractures in overlying strata and its relationship to upper aquifers is critical. In this paper, the application of the geophysical-chemical properties of radon in mining engineering is explored as a potential solution to the shortcomings of existing surveying methods. A radioactive measurement method is proposed for the detection of the development of mining-induced fractures from overlying strata to the surface in the Baoshan Coal Mine (BCM. The on-site test indicated that the first weighting step is approximately 60 m, the average periodic weighting step is approximately 20 m, and the influence coverage of the advanced abutment pressure is approximately 30 m. The presented method could be used as an indirect technical support to increase the safety of coal mining by acting as a simple, fast, and reliable method of detecting mining-induced fractures in overlying strata.

  10. Seismic techniques in coal mining

    Bhattacharyya, A.K.; Belleza, G.V.


    The aim of this study is to investigate the peripheral fracture zones in coal pillars left for support in underground mines. The fracture zones are caused by the redistribution of stresses in strata resulting from the process of excavation and blasting if it is used. The extent and degree of these fracture zones, in turn, have a direct influence on the ability of pillars to provide stable support to the overlying strata. Seismic methods such as refraction, uphole, and collinear techniques outlined in previous reports are being used to investigate the extent and degree of the peripheral fracture zones. Some of the work that has been carried out and is described in this report, relates to the study of peripheral fracture zones in coal pillars using seismic techniques.

  11. Space mining and its regulation

    Jakhu, Ram S; Nyampong, Yaw Otu Mankata


    This book addresses the complex technical challenges presented by remote space mining in terms of robotics, remote power systems, space transport, IT and communications systems, and more. It also addresses the difficult oversight and regulatory issues that face states and non-state enterprises that would take on the perilous task of obtaining natural resources from the Moon and asteroids. An increasing number of countries are becoming involved in space-related activities that were previously carried out primarily by the United States and the USSR (now the Russian Federation). How these regulatory endeavors might be handled in international treaties, standards, codes of conduct or other means have become a truly international political issue. And there is yet another issue. In the past, space activities traditionally fell under the exclusive domain of government. But the last few years have seen the emergence of the private sector of "space entrepreneurs." This poses many challenges for the pre-existing govern...

  12. Strategy for polymetallic nodule mining

    Sharma, R.

    , geological, technical and economic conditions, a singe polymetallic nodule mining operation can be carried out for a period of lime 4 • There are several factors for selection of a mine sites sucha~: Nodule distribution, grade and abundance Distribution... (Ol As = (C) (E) (M) Where As= annual nodule recovery rate (dmllycar) D = d'urdtion of mining operation (years) . C =average nodule abundance in mineable area (dmt/ E =-overall mining efficiency (perccnt) M =proportion of mineable area...

  13. Land reclamation beautifies coal mines

    Coblentz, B. [MSU Ag Communications (United States)


    The article explains how the Mississippi Agricultural and Forestry Experiments station, MAFES, has helped prepare land exploited by strip mining at North American Coal Corporation's Red Hills Mine. The 5,800 acre lignite mine is over 200 ft deep and uncovers six layers of coal. About 100 acres of land a year is mined and reclaimed, mostly as pine plantations. 5 photos.

  14. Road construction in underground mines

    Benke, L.; Benkovics, I.


    The need and reasons of road construction for rubber-tyre vehicles in various mine sections are examined. A detailed analysis is given of the direct and indirect influences of underground haulage ways and transport roads on the parameters of mine performance. The various mine road construction technologies are overviewed. Experiences are presented with road construction in the Mecsek Ore Mines Company, Plant 3, Hungary. The cost factors of four construction technologies are compared.

  15. Scientific Data Mining in Astronomy

    Borne, Kirk


    We describe the application of data mining algorithms to research problems in astronomy. We posit that data mining has always been fundamental to astronomical research, since data mining is the basis of evidence-based discovery, including classification, clustering, and novelty discovery. These algorithms represent a major set of computational tools for discovery in large databases, which will be increasingly essential in the era of data-intensive astronomy. Historical examples of data mining...

  16. Data Mining and Ensemble of Learning Methods%数据挖掘与组合学习

    刁力力; 胡可云; 陆玉昌; 石纯一


    Data-mining is a kind of solution for solving the problem of information exploding. Classification and prediction belong to the most fundamental tasks in data-mining field. Many experiments have showed that the results of ensemble of learning methods are generally better than those of single learning methods under most of the time. In the sense,it is of great value to introduce ensemble of learning methods to data mining. This paper introduces data mining and ensemble of learning methods respectively,along with the analysis and formulation about the role ensemble of learning methods can act in some important practicing aspects of data mining:Text mining,multi-media information mining and web mining.

  17. Mining robotics sensors

    Green, JJ


    Full Text Available images. This motivated us to use a simplified camera model based on only 4 Green Page 4 of 12 26th International Conference of CAD/CAM, Robotics & Factories of the Future (CARs&FOF 2011) 26-28 July 2-11, Kuala Lumpur, Malaysia parameters: 2D... International Conference of CAD/CAM, Robotics & Factories of the Future (CARs&FOF 2011) 26-28 July 2-11, Kuala Lumpur, Malaysia Mining Robotics Sensors Perception Sensors on a Mine Safety Platform Green JJ1, Hlophe K2, Dickens J3, Teleka R4, Mathew Price5...

  18. Data mining mobile devices

    Mena, Jesus


    With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertaining to human social behavior. It explains how the integration of data mining and machine learning can enable the modeling of conversation context, proximity sensing, and geospatial location throughout large communities of mobile users

  19. Data mining for dummies

    Brown, Meta S


    Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business''s entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn''t take a data scientist to gain

  20. Mining the Blazar Sky

    Padovani, P; Padovani, Paolo; Giommi, Paolo


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

  1. Cataract surgery in previously vitrectomized eyes.

    Akinci, A; Batman, C; Zilelioglu, O


    To evaluate the results of extracapsular cataract extraction (ECCE) and phacoemulsification (PHACO) performed in previously vitrectomized eyes. In this retrospective study, 56 vitrectomized eyes that had ECCE and 60 vitrectomized eyes that had PHACO were included in the study group while 65 eyes that had PHACO in the control group. The evaluated parameters were the incidence of intra-operative and postoperative complications (IPC) and visual outcomes. Chi-squared, independent samples and paired samples tests were used for comparing the results. Deep anterior chamber (AC) was significantly more common in the PHACO group of vitrectomized eyes (PGVE) and observed in eyes that had undergone extensive vitreous removal (p ECCE group and the PGVE (p > 0.05). Some of the intra-operative conditions such as posterior synechiae, primary posterior capsular opacification (PCO) and postoperative complications such as retinal detachment (RD), PCO were significantly more common in vitrectomized eyes than the controls (p ECCE group and the PGVE (p > 0.05). Deep AC is more common in eyes with extensive vitreous removal during PHACO than ECCE. Decreasing the bottle height is advised in this case. Except for this, the results of ECCE and PHACO are similar in previously vitrectomized eyes. Posterior synechiaes, primary and postoperative PCO and RD are more common in vitrectomized eyes than the controls.

  2. Mining visual collocation patterns via self-supervised subspace learning.

    Yuan, Junsong; Wu, Ying


    Traditional text data mining techniques are not directly applicable to image data which contain spatial information and are characterized by high-dimensional visual features. It is not a trivial task to discover meaningful visual patterns from images because the content variations and spatial dependence in visual data greatly challenge most existing data mining methods. This paper presents a novel approach to coping with these difficulties for mining visual collocation patterns. Specifically, the novelty of this work lies in the following new contributions: 1) a principled solution to the discovery of visual collocation patterns based on frequent itemset mining and 2) a self-supervised subspace learning method to refine the visual codebook by feeding back discovered patterns via subspace learning. The experimental results show that our method can discover semantically meaningful patterns efficiently and effectively.

  3. Accounting and Financial Data Analysis Data Mining Tools

    Diana Elena Codreanu


    Full Text Available Computerized accounting systems in recent years have seen an increase in complexity due to thecompetitive economic environment but with the help of data analysis solutions such as OLAP and DataMining can be a multidimensional data analysis, can detect the fraud and can discover knowledge hidden indata, ensuring such information is useful for decision making within the organization. In the literature thereare many definitions for data mining but all boils down to same idea: the process takes place to extract newinformation from large data collections, information without the aid of data mining tools would be verydifficult to obtain. Information obtained by data mining process has the advantage that only respond to thequestion of what happens but at the same time argue and show why certain things are happening. In this paperwe wish to present advanced techniques for analysis and exploitation of data stored in a multidimensionaldatabase.

  4. Stress distribution around mine workings

    Gaidachuk, V. V.; Koshel', V. I.; Lugovoi, P. Z.


    The finite-element method is used to determine the stress state around arched mine workings in a mineral bed. Both presence and dip of the mineral bed have a strong effect on the stress state around the mine working. Recommendations for design of mine-working support are formulated

  5. 76 FR 70075 - Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines


    ... Mining Machines in Underground Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION... addressing Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines. This... Continuous Mining Machines in Underground Coal Mines. MSHA conducted hearings on October 18, October...

  6. Books average previous decade of economic misery.

    R Alexander Bentley

    Full Text Available For the 20(th century since the Depression, we find a strong correlation between a 'literary misery index' derived from English language books and a moving average of the previous decade of the annual U.S. economic misery index, which is the sum of inflation and unemployment rates. We find a peak in the goodness of fit at 11 years for the moving average. The fit between the two misery indices holds when using different techniques to measure the literary misery index, and this fit is significantly better than other possible correlations with different emotion indices. To check the robustness of the results, we also analysed books written in German language and obtained very similar correlations with the German economic misery index. The results suggest that millions of books published every year average the authors' shared economic experiences over the past decade.

  7. Obinutuzumab for previously untreated chronic lymphocytic leukemia.

    Abraham, Jame; Stegner, Mark


    Obinutuzumab was approved by the Food and Drug Administration in late 2013 for use in combination with chlorambucil for the treatment of patients with previously untreated chronic lymphocytic leukemia (CLL). The approval was based on results of an open-label phase 3 trial that showed improved progression-free survival (PFS) with the combination of obinutuzumab plus chlorambucil compared with chlorambucil alone. Obinutuzumab is a monoclonal antibody that targets CD20 antigen expressed on the surface of pre B- and mature B-lymphocytes. After binding to CD20, obinutuzumab mediates B-cell lysis by engaging immune effector cells, directly activating intracellular death signaling pathways, and activating the complement cascade. Immune effector cell activities include antibody-dependent cellular cytotoxicity and antibody-dependent cellular phagocytosis.

  8. Can previous learning alter future plasticity mechanisms?

    Crestani, Ana Paula; Quillfeldt, Jorge Alberto


    The dynamic processes related to mnemonic plasticity have been extensively researched in the last decades. More recently, studies have attracted attention because they show an unusual plasticity mechanism that is independent of the receptor most usually related to first-time learning--that is, memory acquisition-the NMDA receptor. An interesting feature of this type of learning is that a previous experience may cause modifications in the plasticity mechanism of a subsequent learning, suggesting that prior experience in a very similar task triggers a memory acquisition process that does not depend on NMDARs. The intracellular molecular cascades necessary to assist the learning process seem to depend on the activation of hippocampal CP-AMPARs. Moreover, most of these studies were performed on hippocampus-dependent tasks, even though other brain areas, such as the basolateral amygdala, also display NMDAR-independent learning.

  9. Books average previous decade of economic misery.

    Bentley, R Alexander; Acerbi, Alberto; Ormerod, Paul; Lampos, Vasileios


    For the 20(th) century since the Depression, we find a strong correlation between a 'literary misery index' derived from English language books and a moving average of the previous decade of the annual U.S. economic misery index, which is the sum of inflation and unemployment rates. We find a peak in the goodness of fit at 11 years for the moving average. The fit between the two misery indices holds when using different techniques to measure the literary misery index, and this fit is significantly better than other possible correlations with different emotion indices. To check the robustness of the results, we also analysed books written in German language and obtained very similar correlations with the German economic misery index. The results suggest that millions of books published every year average the authors' shared economic experiences over the past decade.

  10. Induced vaginal birth after previous caesarean section

    Akylbek Tussupkaliyev


    Full Text Available Introduction The rate of operative birth by Caesarean section is constantly rising. In Kazakhstan, it reaches 27 per cent. Research data confirm that the percentage of successful vaginal births after previous Caesarean section is 50–70 per cent. How safe the induction of vaginal birth after Caesarean (VBAC remains unclear. Methodology The studied techniques of labour induction were amniotomy of the foetal bladder with the vulsellum ramus, intravaginal administration of E1 prostaglandin (Misoprostol, and intravenous infusion of Oxytocin-Richter. The assessment of rediness of parturient canals was conducted by Bishop’s score; the labour course was assessed by a partogram. The effectiveness of labour induction techniques was assessed by the number of administered doses, the time of onset of regular labour, the course of labour and the postpartum period and the presence of complications, and the course of the early neonatal period, which implied the assessment of the child’s condition, described in the newborn development record. The foetus was assessed by medical ultrasound and antenatal and intranatal cardiotocography (CTG. Obtained results were analysed with SAS statistical processing software. Results The overall percentage of successful births with intravaginal administration of Misoprostol was 93 per cent (83 of cases. This percentage was higher than in the amniotomy group (relative risk (RR 11.7 and was similar to the oxytocin group (RR 0.83. Amniotomy was effective in 54 per cent (39 of cases, when it induced regular labour. Intravenous oxytocin infusion was effective in 94 per cent (89 of cases. This percentage was higher than that with amniotomy (RR 12.5. Conclusions The success of vaginal delivery after previous Caesarean section can be achieved in almost 70 per cent of cases. At that, labour induction does not decrease this indicator and remains within population boundaries.

  11. Internet technologies in the mining industry. Towards unattended mining systems

    Krzykawski, Michal [FAMUR Group, Katowice (Poland)


    Global suppliers of longwall systems focus mainly on maximising the efficiency of the equipment they manufacture. Given the fact that, since 2004, coal demand on world markets has been constantly on the increase, even during an economic downturn, this endeavour seems fully justified. However, it should be remembered that maximum efficiency must be accompanied by maximum safety of all underground operations. This statement is based on the belief that the mining industry, which exploits increasingly deep and dangerous coal beds, faces the necessity to implement comprehensive IT systems for managing all mining processes and, in the near future, to use unmanned mining systems, fully controllable from the mine surface. The computerisation of mines is an indispensable element of the development of the world mining industry, a belief which has been put into practice with e-mine, developed by the FAMUR Group. (orig.)

  12. Geochemical characterization of slags, other mines wastes, and their leachates from the Elizabeth and Ely mines (Vermont), the Ducktown mining district (Tennessee), and the Clayton smelter site (Idaho)

    Piatak, Nadine M.; Seal, Robert R., II; Hammarstrom, Jane M.; Meier, Allen L.; Briggs, Paul H.


    Waste-rock material produced at historic metal mines contains elevated concentrations of potentially toxic trace elements. Two types of mine waste were examined in this study: sintered waste rock and slag. The samples were collected from the Elizabeth and Ely mines in the Vermont copper belt (Besshi-type massive sulfide deposits), from the Copper Basin mining district near Ducktown, Tennessee (Besshi-type massive sulfide deposits), and from the Clayton silver mine in the Bayhorse mining district, Idaho (polymetallic vein and replacement deposits). The data in this report are presented as a compilation with minimal interpretation or discussion. A detailed discussion and interpretation of the slag data are presented in a companion paper. Data collected from sintered waste rock and slag include: (1) bulk rock chemistry, (2) mineralogy, (3) and the distribution of trace elements among phases for the slag samples. In addition, the reactivity of the waste material under surficial conditions was assessed by examining secondary minerals formed on slag and by laboratory leaching tests using deionized water and a synthetic solution approximating precipitation in the eastern United States.

  13. 基于Web的数据仓库与数据挖掘技术%Web-based Data Warehousing and Data Mining Technologies

    刘云; 刘东苏


    The paper discusses the Web-based data warehousing and data mining technologies, analyzes the similarities and differences between the traditional data warehousing and data mining and the Web-based data warehousing and data mining. The architecture of the Web-based data warehousing is presented. The problems that should be solved are pointed out and some solutions are given.


    Jelena Ruso


    Full Text Available Large amounts of the data gathered in organizations through business operations won’t have utility value unless they are used in a proper way. With growing amount of data, the issue of their storage, processing and analysis is becoming more complex. The proper data usage and analysis should provide guidance, solutions and the basis for predictions with the objective of improving and initiating future smart decisions based on the acquired results. Data mining is the tool which exactly enables discovering of emerging patterns and important business information. This work presents the example of Data Mining implementation in the field of workplace health, safety and welfare at HIP- Petrohemija, in Pančevo, as well as various approaches of data analysis and processing by various authors in this field.

  15. Mining (except Oil and Gas) Sector (NAICS 212)

    EPA Regulatory and enforcement information for the mining sector, including metal mining & nonmetallic mineral mining and quarrying. Includes information about asbestos, coal mining, mountaintop mining, Clean Water Act section 404, and abandoned mine lands

  16. Design and implementation of data mining tools

    Thuraisingham, Bhavani; Awad, Mamoun


    DATA MINING TECHNIQUES AND APPLICATIONS IntroductionTrendsData Mining Techniques and ApplicationsData Mining for Cyber Security: Intrusion DetectionData Mining for Web: Web Page Surfing PredictionData Mining for Multimedia: Image ClassificationOrganization of This BookNext StepsData Mining TechniquesIntroductionOverview of Data Mining Tasks and TechniquesArtificial Neural NetworksSupport Vector MachinesMarkov ModelAssociation Rule Mining (ARM)Multiclass ProblemImage MiningSummaryData Mining ApplicationsIntroductionIntrusion DetectionWeb Page Surfing PredictionImage ClassificationSummaryDATA MI

  17. Mining Your Own Data

    Clark, Maurice


    Conducting asteroid photometry frequently requires imaging one area of the sky for many hours. Apart from the asteroid being studied, there may be many other objects of interest buried in the data. The value of mining your own asteroid data is discussed, using examples from observations made by the author, primarily at the Preston Gott Observatory at Texas Tech University.

  18. Ghana Mining Journal

    The Ghana Mining Journal (GMJ) is a publication which focuses on the exchange of ideas, ... Effect of Riffle Height and Spacing of a Sluice Board on Placer Gold ... Application of Microwave Energy for Production of Iron Nuggets from the Pudo ...

  19. Contextual Text Mining

    Mei, Qiaozhu


    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

  20. Grants Mining District

    The Grants Mineral Belt was the focus of uranium extraction and production activities from the 1950s until the late 1990s. EPA is working with state, local, and federal partners to assess and address health risks and environmental effects of the mines

  1. Lunabotics Mining Competition

    Mueller, Rob; Murphy, Gloria


    This slide presentation describes a competition to design a lunar robot (lunabot) that can be controlled either remotely or autonomously, isolated from the operator, and is designed to mine a lunar aggregate simulant. The competition is part of a systems engineering curriculum. The 2010 competition winners in five areas of the competition were acknowledged, and the 2011 competition was announced.

  2. From mine to meadow

    Gualdron, R.; Camacho, R. (Intercor, Barranquilla (Colombia). Environmental Engineering Division)


    This article describes the rehabilitation of dumps and backfill areas at the world's largest export coal mine, El Cerrejon Zone Norte, in Northern Colombia. The rehabilitation process includes the preparation of surfaces and slopes, the placement of topsoil and the revegetation and reforestation of the prepared areas. 8 photos.

  3. Robots in mining

    Green, J


    Full Text Available Slide 17 So Robots can make mining easier • Thermography to identify threat areas • Sounding device to delineate boundaries • Ultrasonic Beacon system for localisation (replacing GPS) • Creates risk map for mitigating action in the coming shift...

  4. Frequent pattern mining

    Aggarwal, Charu C


    Proposes numerous methods to solve some of the most fundamental problems in data mining and machine learning Presents various simplified perspectives, providing a range of information to benefit both students and practitioners Includes surveys on key research content, case studies and future research directions

  5. Contextual Text Mining

    Mei, Qiaozhu


    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

  6. Computer monitors mine conditions

    Brezovec, D.


    At Cape Breton Development Corp's No. 26 Colliery in Canada, a Transmitton microprocessor-based system monitors methane concentrations, air velocities and pressures, fan vibration, machine temperatures and pump pressures continuously. Longwall mining at the colliery operating under the ocean is briefly described.

  7. Coal Mines Security System

    Ankita Guhe


    Full Text Available Geological circumstances of mine seem to be extremely complicated and there are many hidden troubles. Coal is wrongly lifted by the musclemen from coal stocks, coal washeries, coal transfer and loading points and also in the transport routes by malfunctioning the weighing of trucks. CIL —Coal India Ltd is under the control of mafia and a large number of irregularities can be contributed to coal mafia. An Intelligent Coal Mine Security System using data acquisition method utilizes sensor, automatic detection, communication and microcontroller technologies, to realize the operational parameters of the mining area. The data acquisition terminal take the PIC 16F877A chip integrated circuit as a core for sensing the data, which carries on the communication through the RS232 interface with the main control machine, which has realized the intelligent monitoring. Data management system uses EEPROM chip as a Black box to store data permanently and also use CCTV camera for recording internal situation. The system implements the real-time monitoring and displaying for data undermine, query, deletion and maintenance of history data, graphic statistic, report printing, expert diagnosis and decision-making support. The Research, development and Promote Application will provide the safeguard regarding the mine pit control in accuracy, real-time capacity and has high reliability.

  8. A Frame Work for Frequent Pattern Mining Using Dynamic Function

    Sunil Joshi


    Full Text Available Discovering frequent objects (item sets, sequential patterns is one of the most vital fields in data mining. It is well understood that it require running time and memory for defining candidates and this is the motivation for developing large number of algorithm. Frequent patterns mining is the paying attention research issue in association rules analysis. Apriori algorithm is a standard algorithm of association rules mining. Plenty of algorithms for mining association rules and their mutations are projected on the foundation of Apriori Algorithm. Most of the earlier studies adopted Apriori-like algorithms which are based on generate-and-test candidates theme and improving algorithm approach and formation but no one give attention to the structure of database. Several modifications on apriori algorithms are focused on algorithm Strategy but no one-algorithm emphasis on least transaction and more attribute representation of database. We presented a new research trend on frequent pattern mining in which generate Transaction pair to lighten current methods from the traditional blockage, providing scalability to massive data sets and improving response time. In order to mine patterns in database with more columns than rows, we proposed a complete framework for the frequent pattern mining. A simple approach is if we generate pair of transaction instead of item id where attributes are much larger then transaction so result is very fast. Newly, different works anticipated a new way to mine patterns in transposed databases where there is a database with thousands of attributes but merely tens of stuff. We suggest a novel dynamic algorithm for frequent pattern mining in which generate transaction pair and for generating frequent pattern we find out by longest common subsequence using dynamic function. Our solutions give result more rapidly. A quantitative investigation of these tradeoffs is conducted through a wide investigational study on artificial and

  9. Distinct Urban Mines: Exploiting secondary resources in unique anthropogenic spaces.

    Ongondo, F O; Williams, I D; Whitlock, G


    Fear of scarcity of resources highlight the need to exploit secondary materials from urban mines in the anthroposphere. Analogous to primary mines rich in one type of material (e.g. copper, gold, etc.), some urban mines are unique/distinct. We introduce, illustrate and discuss the concept of Distinct Urban Mines (DUM). Using the example of a university DUM in the UK, analogous to a primary mine, we illustrate potential product/material yields in respect of size, concentration and spatial location of the mine. Product ownership and replacement cycles for 17 high-value electrical and electronic equipment (EEE) among students showed that 20 tonnes of valuable e-waste were in stockpile in this DUM and a further 87 tonnes would 'soon' be available for exploitation. We address the opportunities and challenges of exploiting DUMs and conclude that they are readily available reservoirs for resource recovery. Two original contributions arise from this work: (i) a novel approach to urban mining with a potential for maximising resource recovery within the anthroposphere is conceptualised; and (ii) previously unavailable data for high-value products for a typical university DUM are presented and analysed.

  10. Development and application of biotechnologies in the metal mining industry.

    Johnson, D Barrie


    Metal mining faces a number of significant economic and environmental challenges in the twenty-first century for which established and emerging biotechnologies may, at least in part, provide the answers. Bioprocessing of mineral ores and concentrates is already used in variously engineered formats to extract base (e.g., copper, cobalt, and nickel) and precious (gold and silver) metals in mines throughout the world, though it remains a niche technology. However, current projections of an increasing future need to use low-grade primary metal ores, to reprocess mine wastes, and to develop in situ leaching technologies to extract metals from deep-buried ore bodies, all of which are economically more amenable to bioprocessing than conventional approaches (e.g., pyrometallurgy), would suggest that biomining will become more extensively utilized in the future. Recent research has also shown that bioleaching could be used to process a far wider range of metal ores (e.g., oxidized ores) than has previously been the case. Biotechnologies are also being developed to control mine-related pollution, including securing mine wastes (rocks and tailings) by using "ecological engineering" approaches, and also to remediate and recover metals from waste waters, such as acid mine drainage. This article reviews the current status of biotechnologies within the mining sector and considers how these may be developed and applied in future years.

  11. Technologies for Decreasing Mining Losses

    Valgma, Ingo; Väizene, Vivika; Kolats, Margit; Saarnak, Martin


    In case of stratified deposits like oil shale deposit in Estonia, mining losses depend on mining technologies. Current research focuses on extraction and separation possibilities of mineral resources. Selective mining, selective crushing and separation tests have been performed, showing possibilities of decreasing mining losses. Rock crushing and screening process simulations were used for optimizing rock fractions. In addition mine backfilling, fine separation, and optimized drilling and blasting have been analyzed. All tested methods show potential and depend on mineral usage. Usage in addition depends on the utilization technology. The questions like stability of the material flow and influences of the quality fluctuations to the final yield are raised.

  12. Data mining concepts, methods and applications in management and engineering design

    Yin, Yong; Tang, Jiafu; Zhu, JianMing


    Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: * supply chain design, * product development, * manufacturing system design, * product quality control, and * preservation of privacy. Incorporating recent developments of data

  13. A "Tail" Of Two Mines: Determining The Sources Of Lead In Mine Waters Using Pb Isotopes

    Cousens, B. L.; Allen, D. M.; Lepitre, M. E.; Mortensen, J. K.; Gabites, J. E.; Nugent, M.; Fortin, D.


    Acid mine drainage can be a significant environmental problem in regions where mine tailings are exposed to surface water and shallow groundwater flow. Whereas high metal concentrations in surface waters and groundwaters indicate that metals are being mobilized, these data do not uniquely identify the source of the contamination. The isotopic composition of Pb in mine waters is a superb tracer of Pb sources, because the isotopic composition of ore Pb is usually significantly different from that of host rocks, other surficial deposits, and aerosols. We have investigated metal mobility at two abandoned Pb-Zn mines in different geological settings: the sediment-hosted Sullivan Mine in southeastern British Columbia, and the New Calumet Mine of western Quebec that is hosted in metamorphic rocks of the Grenville Province. Ores from both mines have homogeneous Pb isotopic compositions that are much less radiogenic than surrounding host rocks. At Sullivan, the Pb isotopic compositions of water samples define a mixing line between Sullivan ore and at least one other more radiogenic end-member. Water samples with high Pb concentrations (0.002 to 0.3 mg/L) generally are acidic and have Pb isotope ratios equal to Sullivan ore, whereas waters with low Pb contents have near-neutral pH and have variably more radiogenic Pb isotope ratios. Thus not all the waters collected in the study area originate from Sullivan ore or mining operations, as previously thought. The dominant source of ore Pb in mine waters are the waste rock dumps. Based on their isotopic compositions, host shales or aerosols from the local Pb smelter are potential sources of non-Sullivan ore Pb; local glacial tills are an unlikely source due to their heterogeneous Pb isotopic composition. Similarly, at the New Calumet mine, water samples collected in direct contact with either ore at the surface or tailings have high Pb concentrations (up to 0.02 mg/L) and Pb isotope ratios equal to New Calumet Pb-Zn ore. However

  14. [Study of hydrogen cyanide activity in various working environment in gold-mining industry].

    Dedkova, L A; Dorogova, V B; Petrov, V F


    The study concerned an influence of saline content of liquid phase of crushed ore and presence or absence of solution blending on the process of cyanic hydrogen release in air of working area gold-mining industry.

  15. Previous gastric bypass surgery complicating total thyroidectomy.

    Alfonso, Bianca; Jacobson, Adam S; Alon, Eran E; Via, Michael A


    Hypocalcemia is a well-known complication of total thyroidectomy. Patients who have previously undergone gastric bypass surgery may be at increased risk of hypocalcemia due to gastrointestinal malabsorption, secondary hyperparathyroidism, and an underlying vitamin D deficiency. We present the case of a 58-year-old woman who underwent a total thyroidectomy for the follicular variant of papillary thyroid carcinoma. Her history included Roux-en-Y gastric bypass surgery. Following the thyroid surgery, she developed postoperative hypocalcemia that required large doses of oral calcium carbonate (7.5 g/day), oral calcitriol (up to 4 μg/day), intravenous calcium gluconate (2.0 g/day), calcium citrate (2.0 g/day), and ergocalciferol (50,000 IU/day). Her serum calcium levels remained normal on this regimen after hospital discharge despite persistent hypoparathyroidism. Bariatric surgery patients who undergo thyroid surgery require aggressive supplementation to maintain normal serum calcium levels. Preoperative supplementation with calcium and vitamin D is strongly recommended.

  16. Sebacinales everywhere: previously overlooked ubiquitous fungal endophytes.

    Weiss, Michael; Sýkorová, Zuzana; Garnica, Sigisfredo; Riess, Kai; Martos, Florent; Krause, Cornelia; Oberwinkler, Franz; Bauer, Robert; Redecker, Dirk


    Inconspicuous basidiomycetes from the order Sebacinales are known to be involved in a puzzling variety of mutualistic plant-fungal symbioses (mycorrhizae), which presumably involve transport of mineral nutrients. Recently a few members of this fungal order not fitting this definition and commonly referred to as 'endophytes' have raised considerable interest by their ability to enhance plant growth and to increase resistance of their host plants against abiotic stress factors and fungal pathogens. Using DNA-based detection and electron microscopy, we show that Sebacinales are not only extremely versatile in their mycorrhizal associations, but are also almost universally present as symptomless endophytes. They occurred in field specimens of bryophytes, pteridophytes and all families of herbaceous angiosperms we investigated, including liverworts, wheat, maize, and the non-mycorrhizal model plant Arabidopsis thaliana. They were present in all habitats we studied on four continents. We even detected these fungi in herbarium specimens originating from pioneering field trips to North Africa in the 1830s/40s. No geographical or host patterns were detected. Our data suggest that the multitude of mycorrhizal interactions in Sebacinales may have arisen from an ancestral endophytic habit by specialization. Considering their proven beneficial influence on plant growth and their ubiquity, endophytic Sebacinales may be a previously unrecognized universal hidden force in plant ecosystems.

  17. Surgery of intracranial aneurysms previously treated endovascularly.

    Tirakotai, Wuttipong; Sure, Ulrich; Yin, Yuhua; Benes, Ludwig; Schulte, Dirk Michael; Bien, Siegfried; Bertalanffy, Helmut


    To perform a retrospective study on the patients who underwent aneurysmal surgery following endovascular treatment. We performed a retrospective study on eight patients who underwent aneurysmal surgery following endovascular treatment (-attempts) with gugliemi detachable coils (GDCs). The indications for surgery, surgical techniques and clinical outcomes were analyzed. The indications for surgical treatment after GDC coiling of aneurysm were classified into three groups. First group: surgery of incompletely coiled aneurysms (n=4). Second group: surgery of mass effect on the neural structures due to coil compaction or rebleeding (n=2). Third group: surgery of vascular complications after endovascular procedure due to parent artery occlusion or thrombus propagation from aneurysm (n=2). Aneurysm obliterations could be performed in all cases confirmed by postoperative angiography. Six patients had an excellent outcome and returned to their profession. Patient's visual acuity was improved. One individual experienced right hemiparesis (grade IV/V) and hemihypesthesia. Microsurgical clipping is rarely necessary for previously coiled aneurysms. Surgical treatment is uncommonly required when an acute complication arises during endovascular treatment, or when there is a dynamic change of a residual aneurysm configuration over time that is considered to be insecure.

  18. [Electronic cigarettes - effects on health. Previous reports].

    Napierała, Marta; Kulza, Maksymilian; Wachowiak, Anna; Jabłecka, Katarzyna; Florek, Ewa


    Currently very popular in the market of tobacco products have gained electronic cigarettes (ang. E-cigarettes). These products are considered to be potentially less harmful in compared to traditional tobacco products. However, current reports indicate that the statements of the producers regarding to the composition of the e- liquids not always are sufficient, and consumers often do not have reliable information on the quality of the product used by them. This paper contain a review of previous reports on the composition of e-cigarettes and their impact on health. Most of the observed health effects was related to symptoms of the respiratory tract, mouth, throat, neurological complications and sensory organs. Particularly hazardous effects of the e-cigarettes were: pneumonia, congestive heart failure, confusion, convulsions, hypotension, aspiration pneumonia, face second-degree burns, blindness, chest pain and rapid heartbeat. In the literature there is no information relating to passive exposure by the aerosols released during e-cigarette smoking. Furthermore, the information regarding to the use of these products in the long term are not also available.

  19. Sebacinales everywhere: previously overlooked ubiquitous fungal endophytes.

    Michael Weiss

    Full Text Available Inconspicuous basidiomycetes from the order Sebacinales are known to be involved in a puzzling variety of mutualistic plant-fungal symbioses (mycorrhizae, which presumably involve transport of mineral nutrients. Recently a few members of this fungal order not fitting this definition and commonly referred to as 'endophytes' have raised considerable interest by their ability to enhance plant growth and to increase resistance of their host plants against abiotic stress factors and fungal pathogens. Using DNA-based detection and electron microscopy, we show that Sebacinales are not only extremely versatile in their mycorrhizal associations, but are also almost universally present as symptomless endophytes. They occurred in field specimens of bryophytes, pteridophytes and all families of herbaceous angiosperms we investigated, including liverworts, wheat, maize, and the non-mycorrhizal model plant Arabidopsis thaliana. They were present in all habitats we studied on four continents. We even detected these fungi in herbarium specimens originating from pioneering field trips to North Africa in the 1830s/40s. No geographical or host patterns were detected. Our data suggest that the multitude of mycorrhizal interactions in Sebacinales may have arisen from an ancestral endophytic habit by specialization. Considering their proven beneficial influence on plant growth and their ubiquity, endophytic Sebacinales may be a previously unrecognized universal hidden force in plant ecosystems.

  20. A previously undescribed pathway for pyrimidine catabolism.

    Loh, Kevin D; Gyaneshwar, Prasad; Markenscoff Papadimitriou, Eirene; Fong, Rebecca; Kim, Kwang-Seo; Parales, Rebecca; Zhou, Zhongrui; Inwood, William; Kustu, Sydney


    The b1012 operon of Escherichia coli K-12, which is composed of seven unidentified ORFs, is one of the most highly expressed operons under control of nitrogen regulatory protein C. Examination of strains with lesions in this operon on Biolog Phenotype MicroArray (PM3) plates and subsequent growth tests indicated that they failed to use uridine or uracil as the sole nitrogen source and that the parental strain could use them at room temperature but not at 37 degrees C. A strain carrying an ntrB(Con) mutation, which elevates transcription of genes under nitrogen regulatory protein C control, could also grow on thymidine as the sole nitrogen source, whereas strains with lesions in the b1012 operon could not. Growth-yield experiments indicated that both nitrogens of uridine and thymidine were available. Studies with [(14)C]uridine indicated that a three-carbon waste product from the pyrimidine ring was excreted. After trimethylsilylation and gas chromatography, the waste product was identified by mass spectrometry as 3-hydroxypropionic acid. In agreement with this finding, 2-methyl-3-hydroxypropionic acid was released from thymidine. Both the number of available nitrogens and the waste products distinguished the pathway encoded by the b1012 operon from pyrimidine catabolic pathways described previously. We propose that the genes of this operon be named rutA-G for pyrimidine utilization. The product of the divergently transcribed gene, b1013, is a tetracycline repressor family regulator that controls transcription of the b1012 operon negatively.

  1. Study on durability of concrete in coal mine

    ZHANG Yi-shun; JIN Zu-quan; SUN Wei; GUAN Xue-mao


    There are sulfate and chloride ions corrosion and carbonation to concrete in coal mine. Based on taking test of accelerated carbonation, corrosion of 3.5% weight of NaCl solution and 5% weight of Na2SO4 solution of coal mine concretes, durability of concretes which include spray concrete of C20, high performance concretes of C30 and C50and effect of fly ash on durability have been studied. Results suggest that the coal mineral high performance concretes show good resistance capacities of carbonation, sulfate and chloride corrosion to meet the coal mine construction. And the higher the strength grade is,the better the resistance capacity of corrosion of carbonation is, chloride and sulfate.Moreover, fly ash improves resistance capacity of high performance concrete(HPC) to chloride and sulfate but decreases the resistance capacity of C30's to carbonation and average dynamic modulus.

  2. Service mining framework and application

    Chang, Wei-Lun


    The shifting focus of service from the 1980s to 2000s has proved that IT not only lowers the cost of service but creates avenues to enhance and increase revenue through service. The new type of service, e-service, is mobile, flexible, interactive, and interchangeable. While service science provides an avenue for future service researches, the specific research areas from the IT perspective still need to be elaborated. This book introduces a novel concept-service mining-to address several research areas from technology, model, management, and application perspectives. Service mining is defined as "a systematical process including service discovery, service experience, service recovery, and service retention to discover unique patterns and exceptional values within the existing services." The goal of service mining is similar to data mining, text mining, or web mining, and aims to "detect something new" from the service pool. The major difference is the feature of service is quite distinct from the mining targe...

  3. A Web Mining Approach for Personalized E-Learning System

    Manasi Chakurkar


    Full Text Available The Web Mining plays a very important role for the E-learning systems. In personalized E-Learning system, user customize the learning environment based on personal choices. In a general search process ,a hyperlink which is having maximum number of hits will get displayed first . For making a personalized system history of every user need to be saved in the form of user logs. In this paper we present a architecture with the use of Web mining for Web personalization. The proposed system provides a new approach with combination of web usage mining, HITS algorithm and web content mining. It combines hits results on user logs and web page contents with a clustering algorithm called as Lingo clustering algorithm. This proposed system with combined approach gives a better performance than a usage based system. Further the results are computed according to matrices computed from previous and proposed method.

  4. Parallel Web Mining System Based on Cloud Platform

    Shengmei Luo; Qing He; Lixia Liu; Xiang Ao; Ning Li; Fuzhen Zhuang


    Traditional machine-learning algorithms are struggling to handle the exceedingly large amount of data being generated by the internet. In real-world applications, there is an urgent need for machine-learning algorithms to be able to handle large-scale, high-dimensional text data. Cloud computing involves the delivery of computing and storage as a service to a heterogeneous community of recipients, Recently, it has aroused much interest in industry and academia. Most previous works on cloud platforms only focus on the parallel algorithms for structured data. In this paper, we focus on the parallel implementation of web-mining algorithms and develop a parallel web-mining system that includes parallel web crawler; parallel text extract, transform and load (ETL) and modeling; and parallel text mining and application subsystems. The complete system enables variable real-world web-mining applications for mass data.

  5. Mining-Induced Coal Permeability Change Under Different Mining Layouts

    Zhang, Zetian; Zhang, Ru; Xie, Heping; Gao, Mingzhong; Xie, Jing


    To comprehensively understand the mining-induced coal permeability change, a series of laboratory unloading experiments are conducted based on a simplifying assumption of the actual mining-induced stress evolution processes of three typical longwall mining layouts in China, i.e., non-pillar mining (NM), top-coal caving mining (TCM) and protective coal-seam mining (PCM). A theoretical expression of the mining-induced permeability change ratio (MPCR) is derived and validated by laboratory experiments and in situ observations. The mining-induced coal permeability variation under the three typical mining layouts is quantitatively analyzed using the MPCR based on the test results. The experimental results show that the mining-induced stress evolution processes of different mining layouts do have an influence on the mechanical behavior and evolution of MPCR of coal. The coal mass in the PCM simulation has the lowest stress concentration but the highest peak MPCR (approximately 4000 %), whereas the opposite trends are observed for the coal mass under NM. The results of the coal mass under TCM fall between those for PCM and NM. The evolution of the MPCR of coal under different layouts can be divided into three sections, i.e., stable increasing section, accelerated increasing section and reducing section, but the evolution processes are slightly different for the different mining layouts. A coal bed gas intensive extraction region is recommended based on the MPCR distribution of coal seams obtained by simplifying assumptions and the laboratory testing results. The presented results are also compared with existing conventional triaxial compression test results to fully comprehend the effect of actual mining-induced stress evolution on coal property tests.

  6. An Approach for Integrating Data Mining with Saudi Universities Database Systems: Case Study

    Mohamed Osman Hegazi; Mohammad Alhawarat; Anwer Hilal


    This paper presents an approach for integrating data mining algorithms within Saudi university’s database system, viz., Prince Sattam Bin Abdulaziz University (PSAU) as a case study. The approach based on a bottom-up methodology; it starts by providing a data mining application that represents a solution to one of the problems that face Saudi Universities’ systems. After that, it integrates and implements the solution inside the university’s database system. This process is then repeated to e...

  7. Ecological effects of lead mining on Ozark streams: In-situ toxicity to woodland crayfish (Orconectes hylas)

    Allert, A.L.; Fairchild, J.F.; DiStefano, R.J.; Schmitt, C.J.; Brumbaugh, W.G.; Besser, J.M.


    The Viburnum Trend mining district in southeast Missouri, USA is one of the largest producers of lead-zinc ore in the world. Previous stream surveys found evidence of increased metal exposure and reduced population densities of crayfish immediately downstream of mining sites. We conducted an in-situ 28-d exposure to assess toxicity of mining-derived metals to the woodland crayfish (Orconectes hylas). Crayfish survival and biomass were significantly lower at mining sites than at reference and downstream sites. Metal concentrations in water, detritus, macroinvertebrates, fish, and crayfish were significantly higher at mining sites, and were negatively correlated with caged crayfish survival. These results support previous field and laboratory studies that showed mining-derived metals negatively affect O. hylas populations in streams draining the Viburnum Trend, and that in-situ toxicity testing was a valuable tool for assessing the impacts of mining on crayfish populations.

  8. Testing Dust Control Preparation with Respect to Mine Employee Exposure to Inhalling Chemical Agents

    Eugeniusz Orszulik


    Full Text Available This paper presents the results of tests used in dust hazard prevention for air-water spraying devices in collieries. The purpose of the tests was to evaluate mine employees’ exposure to inhalling chemical agents when the ZWILKOP ZW-10 preparation is used. The paper presents the results of the measurements of concentration, in a mine atmosphere, of the following chemical agents: hazardous substances 2-(2-butoxyethoxyethanol and 2-ethylhexan-1-ol, constituting ingredients of the preparation at mine employees’ workstations. The tests were performed during work related to the mining of coal in inclined drift C31, seam 415/1-2 on the premises of “Borynia-Zofiówka-Jastrzębie” Hard Coal Mine, Jastrzębie-Zdrój, Poland, using the TELESTO mist systems. Using aqueous solutions for the preparation at concentrations of 15 and 20‰ causes no exceedance of the allowable mine air concentrations for the chemical agents tested.

  9. Theoretical approaches to creation of robotic coal mines based on the synthesis of simulation technologies

    Fryanov, V. N.; Pavlova, L. D.; Temlyantsev, M. V.


    Methodological approaches to theoretical substantiation of the structure and parameters of robotic coal mines are outlined. The results of mathematical and numerical modeling revealed the features of manifestation of geomechanical and gas dynamic processes in the conditions of robotic mines. Technological solutions for the design and manufacture of technical means for robotic mine are adopted using the method of economic and mathematical modeling and in accordance with the current regulatory documents. For a comparative performance evaluation of technological schemes of traditional and robotic mines, methods of cognitive modeling and matrix search for subsystem elements in the synthesis of a complex geotechnological system are applied. It is substantiated that the process of technical re-equipment of a traditional mine with a phased transition to a robotic mine will reduce unit costs by almost 1.5 times with a significant social effect due to a reduction in the number of personnel engaged in hazardous work.

  10. Recent advances in social multimedia big data mining and applications

    Sang, J.; Gao, Y.; Bao, B.; Snoek, C.; Dai, Q.


    In the past decade, social media contributes significantly to the arrival of the Big Data era. Big Data has not only provided new solutions for social media mining and applications, but brought about a paradigm shift to many fields of data analytics. This special issue solicits recent related attemp

  11. Integration of Text- and Data-Mining Technologies for Use in Banking Applications

    Maslankowski, Jacek

    Unstructured data, most of it in the form of text files, typically accounts for 85% of an organization's knowledge stores, but it's not always easy to find, access, analyze or use (Robb 2004). That is why it is important to use solutions based on text and data mining. This solution is known as duo mining. This leads to improve management based on knowledge owned in organization. The results are interesting. Data mining provides to lead with structuralized data, usually powered from data warehouses. Text mining, sometimes called web mining, looks for patterns in unstructured data — memos, document and www. Integrating text-based information with structured data enriches predictive modeling capabilities and provides new stores of insightful and valuable information for driving business and research initiatives forward.

  12. Coal mine safety achievements in the USA and the contribution of NIOSH research

    Esterhuizen, G.S.; Gurtunca, R.G. [NIOSH, Washington, DC (United States)


    Over the past century coal miner safety and health have seen tremendous improvements: the fatality and injury rates continue to decrease while productivity continues to increase. Many of the hazards that plagued miners in the past, such as coal bumps, methane and coal dust explosions, ground fall accidents and health issues have been significantly reduced. The contribution of NIOSH research includes products for prevention and survival of mine fires, methane control measures, design procedure for underground coal mines, methods for excavation surface controls, methods and procedures for blasting, laser usage in underground mines and prevention of electrocution from overhead power lines that have reduced accidents and injuries in underground coal mines. Health research has produced products such as the personal dust monitor, noise abating technologies and ergonomic solutions for equipment operators. Research priorities at NIOSH are set by considering surveillance statistics, stakeholder inputs and loss control principles. Future research in coal mining is directed towards respiratory diseases, noise-induced hearing loss, repetitive musculoskeletal injuries, traumatic injuries, falls of ground and mine disasters. The recent spate of accidents in coal mines resulted in the Miner Act of 2006, which includes a specific role for NIOSH in future mine safety research and development. The mine safety achievements in the USA reflect the commitment of industry, labour, government and research organizations to improving the safety of the mine worker.

  13. Using airborne hyperspectral data to characterize the surface pH and mineralogy of pyrite mine tailings

    Zabcic, N.; Rivard, B.; Ong, C.; Mueller, A.


    Acid mine drainage (AMD) is a key concern of the mining industry due to its impact on the quality of water and soils surrounding mine waste deposits. Acid mine drainage derives from the oxidation of metal sulphides, e.g. pyrite (FeS2), exposed to oxygen and water. The leachate acidity is capable of releasing heavy metals contained in the mining waste rock, which can affect water quality and lead to metal enrichment in sediments and potentially resulting in ecosystem degradation. Predicting tailings leachate pH is key to the management of sulfide-bearing mine wastes and is an emerging remote sensing application with limited studies having been realized. Such a capability would supplement traditional methods (i.e. ground surveys) that are challenging to implement due to the extent and large volume of mine waste. This study reports regional scale tailings mineral maps generated from airborne hyperspectral information of the Sotiel-Migollas complex in Spain and pinpoints sources of AMD. The extraction of spectral endmembers from imagery revealed twenty six endmembers for tailings material that represent mostly mineral mixtures. From these, eleven spectral groups were defined, each encompassing minor variations in mineral mixtures. The mineral maps resulting from the use of these endmembers for the detailed investigation of four tailings serve as indicators of the metal, sulphate, and pH levels of the AMD solution at the time of mineral precipitation. Predicted mineralogy was assessed using spectra from samples collected in the field and associated X-ray diffraction measurements. We also discuss the relative merits of the minerals maps of this study and soil leachate pH maps that we previously reported for the same locality using the same airborne data. The pH maps tend to provide predictions consistent with the mineralogy predicted from the mineral maps and the field and laboratory evidence. The pH maps offer information on the pH conditions of the tailings thus giving

  14. Mine Waste Disposal and Managements

    Cheong, Young-Wook; Min, Jeong-Sik; Kwon, Kwang-Soo [Korea Institute of Geology Mining and Materials, Taejon (KR)] (and others)


    This research project deals with: Analysis and characterization of mine waste piles or tailings impoundment abandoned in mining areas; Survey of mining environmental pollution from mine waste impounds; Modelling of pollutants in groundwater around tailings impoundment; Demonstration of acid rock drainage from coal mine waste rock piles and experiment of seeding on waste rock surface; Development of a liner using tailings. Most of mine wastes are deposited on natural ground without artificial liners and capping for preventing contamination of groundwater around mine waste piles or containments. In case of some mine waste piles or containments, pollutants have been released to the environment, and several constituents in drainage exceed the limit of discharge from landfill site. Metals found in drainage exist in exchangeable fraction in waste rock and tailings. This means that if when it rains to mine waste containments, mine wastes can be pollutant to the environment by release of acidity and metals. As a result of simulation for hydraulic potentials and groundwater flow paths within the tailings, the simulated travel paths correlated well with the observed contaminant distribution. The plum disperse, both longitudinal and transverse dimensions, with time. Therefore liner system is a very important component in tailings containment system. As experimental results of liner development using tailings, tailings mixed with some portion of resin or cement may be used for liner because tailings with some additives have a very low hydraulic conductivity. (author). 39 refs.

  15. Minimizing the Impact of Mining Activities for Sustainable Mined-Out ...

    Minimizing the Impact of Mining Activities for Sustainable Mined-Out Area ... and processing through mining activities especially, of the solid minerals are going ... approach to evaluating hazards represented by different kinds of mine waste be ...

  16. La disolución del suelo en comunidades de Erica andevalensis del entorno de las minas de Riotinto (Huelva, SO España Soil solution in soils under Erica andevalensis formations in the Riotinto mining area (Huelva, SW Spain

    E. Buján


    Full Text Available Erica andevalensis es un brezo endémi­co de la Faja Pirítica Ibérica, catalogado en peligro de extinción por la Junta de Andalucía (Decreto 104/1994, Ley 8/2003, que crece espontáneamente en áreas mineras. El estudio de la disolución de los suelos puede ser una herramienta útil para caracterizar las condiciones geo­químicas de su hábitat. Hemos analizado la disolución del suelo en 11 parcelas de dos áreas mineras de Riotinto. La espe­ciación de iones solubles se estimó me­diante el programa SOLMIN88. Los resultados indican que crece adecua­damente en un amplio rango de condicio­nes, tolerando bien fuerzas iónicas de hasta 10-2 M, disoluciones de reacción hiperácida (3,43 a neutra (6.97 y con concentraciones variables de iones (sulfato 4-376, Ca 0,3-25 y Mg 0,1-25 mg L-1 y metales (Al 0,1-10, Cu 0,01-3,94, Pb 0,01-0,23, Zn 0,01-1,88 y Mn 0,02-2,81 mg L-1. E. andevalensis parece indiferente al catión que domina la disolución del suelo, confirmándose su carácter Al-tolerante.Erica andevalensis is an endemic heather in the Iberian Pyrite Belt listed as endan­gered species by Junta de Andalucía (De­cree 104/1994, Law 8/2003 which grows spontaneously in mining areas. The study of soil solution may be a useful tool to charac­terize the geochemical conditions of its habitat. We analyzed the soil solution of 11 plots from two mining areas in Riotinto. Ion speciation was obtained using the SOL­MIN88 software. Our results indicate that it grows ade­quately under a wide range of conditions, being tolerant to ionic strength until up to 10-2 M, soil solutions ranging from hyper­acid (3.43 to neutral (6.97 and with vari­able ions (sulphate 4-376, Ca 0.3-25 and Mg 0.1-25 mg L-1 and metals (Al 0.1-10, Cu 0.01-3.94, Pb 0.01-0.23, Zn 0.01-1.88 y Mn 0.02-2.81 mg L-1 concentrations. This spe­cies seems to be indifferent to the dominant cation of the soil solution. The Al-tolerant character of this species was also confirmed.

  17. Alma Data Mining Toolkit

    Friedel, Douglas; Looney, Leslie; Teuben, Peter J.; Pound, Marc W.; Rauch, Kevin P.; Mundy, Lee; Harris, Robert J.; Xu, Lisa


    ADMIT (ALMA Data Mining Toolkit) is a Python based pipeline toolkit for the creation and analysis of new science products from ALMA data. ADMIT quickly provides users with a detailed overview of their science products, for example: line identifications, line 'cutout' cubes, moment maps, and emission type analysis (e.g., feature detection). Users can download the small ADMIT pipeline product (< 20MB), analyze the results, then fine-tune and re-run the ADMIT pipeline (or any part thereof) on their own machines and interactively inspect the results. ADMIT has both a web browser and command line interface available for this purpose. By analyzing multiple data cubes simultaneously, data mining between many astronomical sources and line transitions are possible. Users are also able to enhance the capabilities of ADMIT by creating customized ADMIT tasks satisfying any special processing needs. We will present some of the salient features of ADMIT and example use cases.

  18. Phosphate Mines, Jordan


    Jordan's leading industry and export commodities are phosphate and potash, ranked in the top three in the world. These are used to make fertilizer. The Jordan Phosphate Mines Company is the sole producer, having started operations in 1935. In addition to mining activities, the company produces phosphoric acid (for fertilizers, detergents, pharmaceuticals), diammonium phosphate (for fertilizer), sulphuric acid (many uses), and aluminum fluoride (a catalyst to make aluminum and magnesium). The image covers an area of 27.5 x 49.4 km, was acquired on September 17, 2005, and is located near 30.8 degrees north latitude, 36.1 degrees east longitude. The U.S. science team is located at NASA's Jet Propulsion Laboratory, Pasadena, Calif. The Terra mission is part of NASA's Science Mission Directorate.

  19. Email Mining: A Survey

    Pranjal S. Bogawar


    Full Text Available E-mail is one of the most widely used ways of written communication over the internet, and its traffic has increased exponentially with the advent of World Wide Web. The increase in email traffic comes also with an increase in the use of emails for illegitimate purpose. Phishing, Spamming, email bombing, threatening, cyber bullying, racial vilification, terrorist activities, child pornography and sexual harassment are common examples of e-mail abuses. So, there is a need for e-mail mining. Various methods and approaches were used by the scientists for classification of email messages in above categories. In this paper we are presenting various techniques and approaches used by researchers for email mining and subsequent classification.

  20. Action Rules Mining

    Dardzinska, Agnieszka


    We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequently asked to analyze new data sets which are often composed of numerous tables possessing different properties. They try to find completely new correlations between attributes and show new possibilities for users.   Action rules mining discusses some of data mining and knowledge discovery principles and then describe representative concepts, methods and algorithms connected with action. The author introduces the formal definition of action rule, notion of a simple association action rule and a representative action rule, the cost of association action rule, and gives a strategy how to construct simple association action rules of a lowest cost. A new approach for generating action rules from datasets with numerical attributes...

  1. Green remediation of tailings from the mine using inorganic agents

    Došić Aleksandar D.


    Full Text Available Increasing amounts of residues and waste materials coming from industrial activities in different processes have become an increasingly urgent problem for the future. The paper presents the problem of mine tailings generated in mine “Sase” (Republic of Srpska, Bosnia and Herzegovina with high metal content (Pb, Cu and Zn. Dumpsite of this tailing represents potential risk for water bodies in the vicinity of this location. Chosen treatment process was stabilization/solidification (S/S. Inorganic agents used in this study were fly ash and red mud that represent secondary industrial waste generated on locations relatively near the mine. Therefore, their application can be used as an example of a sustainable solution of regional environmental problem. Further investigations are related to the impact of various factors on metals leaching from mine tailings solidified/stabilized material using the above mentioned immobilization agents. The performance of the immobilizing procedures was examined using several leaching tests: ANS 16.1, TCLP, DIN, MWLP. The results indicated that all S/S samples can be considered as non-hazardous waste, as all leached metal concentrations met the set criteria. These results will further enable the modelling of metals behaviour during long-term leaching from treated mine tailing. The data are invaluable in terms of economically and environmentally sound management of mine tailing.

  2. Challenges in recovering resources from acid mine drainage

    Nordstrom, D. Kirk; Bowell, Robert J.; Campbell, Kate M.; Alpers, Charles N.


    Metal recovery from mine waters and effluents is not a new approach but one that has occurred largely opportunistically over the last four millennia. Due to the need for low-cost resources and increasingly stringent environmental conditions, mine waters are being considered in a fresh light with a designed, deliberate approach to resource recovery often as part of a larger water treatment evaluation. Mine water chemistry is highly dependent on many factors including geology, ore deposit composition and mineralogy, mining methods, climate, site hydrology, and others. Mine waters are typically Ca-Mg-SO4±Al±Fe with a broad range in pH and metal content. The main issue in recovering components of these waters having potential economic value, such as base metals or rare earth elements, is the separation of these from more reactive metals such as Fe and Al. Broad categories of methods for separating and extracting substances from acidic mine drainage are chemical and biological. Chemical methods include solution, physicochemical, and electrochemical technologies. Advances in membrane techniques such as reverse osmosis have been substantial and the technique is both physical and chemical. Biological methods may be further divided into microbiological and macrobiological, but only the former is considered here as a recovery method, as the latter is typically used as a passive form of water treatment.


    Slobodan Radosavljević


    Full Text Available Global dynamics of the technological changes creates a need for modern approaches while evaluating and analysing the risk in the mining industry. Analysing and managing technical systems in the mining industry is a key factor concerning the quality of their functioning. Dependability, safety, and maintenance management based on the risk analysis can contribute substantially to the overall effectiveness and efficiency of the mining technological systems. Besides applying adequate technology, organizing and harmonizing the system links among various structures and standardization is of the great importance in achieving business goals. The choice and use of the optimal solutions in the analysis ought to recognize, anticipate, forestall, reduce, and minimize the risk and possible destructive applications. The mining industry production practice recognizes the need for the strategy of organizational and process redesigning as well as raising this issue to the level of the other managing functions of the company. A realistic view of the present state in the risk analysis shows the need for the rapid transformation in the mining industry. The study puts forward a proposal for the possible approaches and improvement relating to the following and implementing modern, standardized world trends, (models and methods concerning the analysis of the technical and occupational safety risk in some of the basic processes in the mining industry.

  4. Mining in the Future: Autonomous Robotics for Safer Mines

    Shahdi, A


    Full Text Available : Autonomous Robotics for Safer Mines 4th Biennial Conference Ali Shahdi 10th October 2012 Mining in the Future ? Safer mines with reduced hazard to which personnel are exposed ? Improved production and efficiency ? Gain access to new resources ? Many... ? Local scans ? Exploration frontier planning ? Path planning ? Platform motion control ? Global map generation ? Sampling user-defined points on the hanging wall ? Generate a hazard map of the entire hanging wall ? CSIR 2012 Slide 11 System...

  5. Study of Spanish mining accidents using data mining techniques

    Sanmiquel Pera, Lluís; Rossell Garriga, Josep Maria; Vintró Sánchez, Carla


    Mining is an economic sector with a high number of accidents. Mines are hazardous places and workers can suffer a wide variety of injuries. Utilizing a database composed of almost 70,000 occupational accidents and fatality reports corresponding to the decade 2003–2012 in the Spanish mining sector, the paper analyzes the main causes of those accidents. To carry out the study, powerful statistical tools have been applied, such as Bayesian classi¿ers, decision trees or contingency t...

  6. Text Mining: (Asynchronous Sequences

    Sheema Khan


    Full Text Available In this paper we tried to correlate text sequences those provides common topics for semantic clues. We propose a two step method for asynchronous text mining. Step one check for the common topics in the sequences and isolates these with their timestamps. Step two takes the topic and tries to give the timestamp of the text document. After multiple repetitions of step two, we could give optimum result.

  7. Mines and Demolitions


    Rough .andling Tests . ~Forty-Foot Drop Test S. " Extremu- Temperatura Functioning Temperature-Humidity " r Extreme-Temperature Storage "* •d...operability. The performance characteristics, a ": Ithrough d below, are determined with unconditioned samples. These samples also serve as control ...firing can eafely be controlled . At least five samples are used for each possible fuza/mine combinacion. The order of functioning of the main

  8. Green process to recover magnesium chloride from residue solution of potassium chloride production plant

    Lin WANG; Yunliang HE; Yanfei WANG; Ying BAO; Jingkang WANG


    The green process to recover magnesium chlor-ide from the residue solution of a potassium chloride pro-duction plant, which comes from the leach solution of a potash mine in Laos, is designed and optimized. The res-idue solution contains magnesium chloride above 25 wt-%, potassium chloride and sodium chloride together below 5 wt-% and a few other ions such as Br-, SO2-4and Ca2+. The recovery process contains two steps: the previous impurity removal operation and the two-stage evapora-tion-cooling crystallization procedure to produce magnes-ium chloride. The crystallized impurity carnallite obtained from the first step is recycled to the potassium chloride plant to recover the potassium salt. The developed process is a zero discharge one and thus fulfills the requirements for green chemical industrial production. The produced magnesium chloride is up to industrial criteria.

  9. GIS and Urban Mining

    Xuan Zhu


    Full Text Available Geographical information systems (GIS are a kind of location intelligence technology that supports systematic collection, integration, analysis and sharing of spatial data. They provide an effective tool for characterising and visualising geographical distributions of recyclable resources or materials dispersed across urban environments in what may be described as “urban mines”. As logistics can be a key barrier to recycling, GIS are critical for capturing and analysing location intelligence about the distribution and values of recyclable resources and associated collection systems to effectively empower and inform the policy makers and the broader community with comprehensive, accurate and accessible information. This paper reviews the functionality of modern GIS, discusses the potential role of GIS in urban mining studies, and describes how GIS can be used to measure, report, analyse and visualise the spatial or geographical characteristics of dispersed stocks of recyclable waste and their collection and recovery systems. Such information can then be used to model material flows and assess the social and environmental impacts of urban mining. Issues and challenges in the use of GIS for urban mining are also to be addressed.

  10. Organizational Data Mining

    Nemati, Hamid R.; Barko, Christopher D.

    Many organizations today possess substantial quantities of business information but have very little real business knowledge. A recent survey of 450 business executives reported that managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. To reverse this trend, businesses of all sizes would be well advised to adopt Organizational Data Mining (ODM). ODM is defined as leveraging Data Mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage. ODM has helped many organizations optimize internal resource allocations while better understanding and responding to the needs of their customers. The fundamental aspects of ODM can be categorized into Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the key distinction between ODM and Data Mining. In this chapter, we introduce ODM, explain its unique characteristics, and report on the current status of ODM research. Next we illustrate how several leading organizations have adopted ODM and are benefiting from it. Then we examine the evolution of ODM to the present day and conclude our chapter by contemplating ODM's challenging yet opportunistic future.

  11. Data Mining and Analysis

    Samms, Kevin O.


    The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and problem reporting systems for the purpose of improving data trending, evaluations, and analyses. Currently NASA systems are tailored to meet the specific needs of its organizations. This tailoring has led to a variety of nomenclatures and levels of annotation for procedures, parts, and anomalies making difficult the realization of the common causes for anomalies. Making significant observations and realizing the connection between these causes without a common way to view large data sets is difficult to impossible. In the first phase of the Data Mining project a portal was created to present a common visualization of normalized sensitive data to customers with the appropriate security access. The tool of the visualization itself was also developed and fine-tuned. In the second phase of the project we took on the difficult task of searching and analyzing the target data set for common causes between anomalies. In the final part of the second phase we have learned more about how much of the analysis work will be the job of the Data Mining team, how to perform that work, and how that work may be used by different customers in different ways. In this paper I detail how our perspective has changed after gaining more insight into how the customers wish to interact with the output and how that has changed the product.

  12. 36 CFR 6.7 - Mining wastes.


    ... DISPOSAL SITES IN UNITS OF THE NATIONAL PARK SYSTEM § 6.7 Mining wastes. (a) Solid waste from mining includes but is not limited to mining overburden, mining byproducts, solid waste from the extraction... 36 Parks, Forests, and Public Property 1 2010-07-01 2010-07-01 false Mining wastes. 6.7 Section 6...

  13. Legalising small coal mines in Colombia

    Espinosa Bula, D.


    It was estimated that in 1996 some 97% of the coal mines in Colombia comprised small-scale operations. This paper discusses the legal framework of the Colombian mining sector, the regulatory framework of small-scale mining, the illegal mining issue, and the Colombian approach to illegal coal mining. 1 fig., 13 tabs.

  14. Mining highly stressed areas, part 2.

    Johnson, R


    Full Text Available A questionnaire related to mining at great depth and in very high stress conditions has been completed with the assistance of mine rock mechanics personnel on over twenty mines in all mining districts, and covering all deep level mines...

  15. Disaster prediction of coal mine gas based on data mining

    SHAO Liang-shan; FU Gui-xiang


    The technique of data mining was provided to predict gas disaster in view of thecharacteristics of coal mine gas disaster and feature knowledge based on gas disaster.The rough set theory was used to establish data mining model of gas disaster prediction,and rough set attributes relations was discussed in prediction model of gas disaster tosupplement the shortages of rough intensive reduction method by using information en-tropy criteria. The effectiveness and practicality of data mining technology in the predictionof gas disaster is confirmed through practical application.

  16. Web Crime Mining by Means of Data Mining Techniques

    Javad Hosseinkhani


    Full Text Available The purpose of this study is to provide a review to mining useful information by means of Data Mining. The procedure of extracting knowledge and information from large set of data is data mining that applying artificial intelligence method to find unseen relationships of data. There is more study on data mining applications that attracted more researcher attention and one of the crucial field is criminology that applying in data mining which is utilized for identifying crime characteristics. Detecting and exploring crimes and investigating their relationship with criminals are involved in the analyzing crime process. Criminology is a suitable field for using data mining techniques that shows the high volume and the complexity of relationships between crime datasets. Therefore, for further analysis development, the identifying crime characteristic will be the first step and obtained knowledge from data mining approaches is a very useful tool to help and support police forces. This research aims to provide a review to extract useful information by means of Data Mining, in order to find crime hot spots out and predict crime trends for them using crime data mining techniques.

  17. Environmental planning in mine waste management: The Huckleberry Mines experience

    Johnson, D. C. [Suncor Energy Inc., Fort McMurray, AB (Canada); Letient, H. F. [Compania Minera Antamina (Peru)


    A mine waste management plan, designed to prevent the onset of acid rock drainage and facilitate reclamation of the mine site is discussed. The waste management plan takes into account the requirement for permanently flooding the potentially acid-generating rock and tailings. To avoid long-term acid rock drainage, the plan calls for floating the pyrite out of the tailings towards the end of the life of the mine, thus generating a a non-acid generating tailings stream which will be used to cap the deposited mine waste. When the mine is closed, a permanent water cover will be maintained over the mine waste, leaving only the potentially non-acid generating tailings exposed. Retaining structures will be constructed so as to maximize the use of overburden and minimize the need for additional till and rockfill to be imported from outside the mine site. Dam slopes will be reclaimed with topsoil and overburden stripped during mine development and stockpiled until needed for reclamation. By disposing of the acid-generating mine waste and tailings by permanent flooding, acid generation from these wastes will be prevented, overall environmental liabilities will be minimized, and long-term water quality of the surrounding streams will be safeguarded. 9 figs.

  18. Environmental aspects of lunar helium-3 mining

    Kulcinski, G. L.; Cameron, E. N.; Carrier, W. D., III; Schmitt, H. H.


    Three potential detrimental effects of lunar He-3 mining have been identified; visual changes, atmospheric contamination, and solid waste disposal. The removal of small craters (less than 20 m diameter) and the change in the albedo of the surface may cause a slight darkening of the regolith. However, it is not expected that this change will be visible from the earth even with powerful telescopes. The release of lunar volatile gases and their effect on the lunar 'atmosphere' is expected to be both local and temporary (on the order of a few weeks from the time of release). The solution to solid waste disposal is to recycle as much as possible and to bury the nonrecyclable waste. The lack of wind and water means that the waste will stay localized indefinitely and cause no contamination of the environment. The positive benefits of using lunar He-3 in terrestrial fusion plants far outweigh the detrimental effects of mining. The reduction in radioactive waste, greenhouse and acid gases, and the reduction in terrestrial mining for fossil fuels could have a major impact on the quality of life in the 21st century.

  19. Advance Mining of Temporal High Utility Itemset

    Swati Soni


    Full Text Available The stock market domain is a dynamic and unpredictable environment. Traditional techniques, such as fundamental and technical analysis can provide investors with some tools for managing their stocks and predicting their prices. However, these techniques cannot discover all the possible relations between stocks and thus there is a need for a different approach that will provide a deeper kind of analysis. Data mining can be used extensively in the financial markets and help in stock-price forecasting. Therefore, we propose in this paper a portfolio management solution with business intelligence characteristics. We know that the temporal high utility itemsets are the itemsets with support larger than a pre-specified threshold in current time window of data stream. Discovery of temporal high utility itemsets is an important process for mining interesting patterns like association rules from data streams. We proposed the novel algorithm for temporal association mining with utility approach. This make us to find the temporal high utility itemset which can generate less candidate itemsets.

  20. Permitting - the latest mining risk

    Hume, W.M.; Munn, F.J. [Cardinal River Coals Ltd., Hinton, AB (Canada)


    The Cheviot approach to mine permitting and the status of the Cheviot permitting process are described. The mine is the first Canadian metallurgical mine built since the early 1970s and will replace the Luscar Mine. There have been significant changes in the technology of mining equipment and with the requirements for government regulatory approvals since 1980, when the last mines were built. A permit application must be technically complete and must be legally correct. A valid public involvement process must support an application. A permit application is now an entire process that leads to submission and review of a document. Cardinal River Coals is applying two principles in order to meet these objectives: to be technically advanced and show the ability to manage the environment; and to conduct a proactive and effective public involvement program.

  1. Spatio-Temporal Rule Mining

    Gidofalvi, Gyozo; Pedersen, Torben Bach


    Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the miniaturization of wireless communication devices pave the road for Location-Based Services (LBS). To achieve high quality for such services, spatio-temporal data mining techniques...... are needed. In this paper, we describe experiences with spatio-temporal rule mining in a Danish data mining company. First, a number of real world spatio-temporal data sets are described, leading to a taxonomy of spatio-temporal data. Second, the paper describes a general methodology that transforms...... the spatio-temporal rule mining task to the traditional market basket analysis task and applies it to the described data sets, enabling traditional association rule mining methods to discover spatio-temporal rules for LBS. Finally, unique issues in spatio-temporal rule mining are identified and discussed....

  2. Ways of standardizing mining regulations

    Macionga, R.


    Deals with ways of improving and standardizing mining regulations in Poland. Shortcomings of existing mining regulations and legal rules are discussed, their main disadvantage being their great multitude and variety. Apart from institutional faults there are also constitutional failures, e.g. exaggerated safety requirements. Another weakness of the existing regulations is the terminology used that is not compatible with standardized mining terminology. Conversion of all regulations, directions and legal acts into standards is recommended as the best means of improvement and the best methods of standarization are suggested. The standards should be issued by only one institution which should be the Higher Mining Office. Establishing Higher and District Mining Offices as the only control structures and a standarized mining law is postulated.

  3. The innovational mining technology of fully mechanized mining on thin coal seam

    Sheng, G.; Sun, Q.; Song, H. [China Ocean University, Qingdao (China)


    The paper describes the innovational fully mechanized mining technology practised on thin coal seams in Tianchen coal mine. This mining technology combined fully mechanized mining and orthodox working face mining. The technology is suitable for mining of particularly thin coal seams. 7 refs., 1 fig., 1 tab.

  4. 30 CFR 77.1712 - Reopening mines; notification; inspection prior to mining.


    ... to mining. 77.1712 Section 77.1712 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION... prior to mining. Prior to reopening any surface coal mine after it has been abandoned or declared... an authorized representative of the Secretary before any mining operations in such mine are...

  5. 30 CFR 819.21 - Auger mining: Protection of underground mining.


    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Auger mining: Protection of underground mining... STANDARDS-AUGER MINING § 819.21 Auger mining: Protection of underground mining. Auger holes shall not extend closer than 500 feet (measured horizontally) to any abandoned or active underground mine workings, except...

  6. 30 CFR 780.27 - Reclamation plan: Surface mining near underground mining.


    ... underground mining. 780.27 Section 780.27 Mineral Resources OFFICE OF SURFACE MINING RECLAMATION AND... RECLAMATION AND OPERATION PLAN § 780.27 Reclamation plan: Surface mining near underground mining. For surface mining activities within the proposed permit area to be conducted within 500 feet of an underground mine...

  7. Hydrologic Investigations Concerning Lead Mining Issues in Southeastern Missouri

    Kleeschulte, Michael J.


    Good stewardship of our Nation's natural resources demands that the extraction of exploitable, minable ore deposits be conducted in harmony with the protection of the environment, a dilemma faced by many land and water management agencies in the Nation's mining areas. As ore is mined, milled, and sent to the smelter, it leaves footprints where it has been in the form of residual trace metals. Often these footprints become remnants that can be detrimental to other natural resources. This emphasizes the importance of understanding the earth's complex physical and biological processes and their interactions at increasingly smaller scales because subtle changes in one component can substantially affect others. Understanding these changes and resulting effects requires an integrated, multidisciplinary scientific approach. As ore reserves are depleted in one area, additional exploitable deposits are required to replace them, and at times these new deposits are discovered in previously unmined areas. Informed decisions concerning resource management in these new, proposed mining areas require an understanding of the potential consequences of the planned mining actions. This understanding is usually based on knowledge that has been accumulated from studying previously mined areas with similar geohydrologic and biologic conditions. If the two areas experience similar mining practices, the information should be transferable. Lead and zinc mining along the Viburnum Trend Subdistrict of southeastern Missouri has occurred for more than 40 years. Additional potentially exploitable deposits have been discovered 30 miles to the south, within the Mark Twain National Forest. It is anticipated that the observation of current (2008) geohydrologic conditions in the Viburnum Trend can provide insight to land managers that will help reasonably anticipate the potential mining effects should additional mining occur in the exploration area. The purpose of this report is to present a

  8. Text Mining Applications and Theory

    Berry, Michael W


    Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.  The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning

  9. Data Mining in Social Media

    Barbier, Geoffrey; Liu, Huan

    The rise of online social media is providing a wealth of social network data. Data mining techniques provide researchers and practitioners the tools needed to analyze large, complex, and frequently changing social media data. This chapter introduces the basics of data mining, reviews social media, discusses how to mine social media data, and highlights some illustrative examples with an emphasis on social networking sites and blogs.

  10. Coal mine workers' pneumoconiosis (CWP): in vitro study of the release of organic compounds from coal mine dust in the presence of physiological fluids.

    Schulz, H M


    Solvents like dichloromethane generally are used to yield exhausted extraction amounts of the organic compounds in coals. Leaching of coal mine dust by dichloromethane yields extracts with comparable amounts of alkanes, aromatics, and phenolic compounds. Dominantly phenolic compounds are leached from coal mine dust by aqueous solutions saturated in lecithin because of their high water solubility. High concentrations of phenolic compounds can be extracted from coal mine dust generated from low-rank coals. Phenolic compounds leached by fluids adapted to physiological conditions correlate with high cytotoxicities of the dust from low-rank coals. Adaptation of leaching fluids to physiological conditions allows a more realistic estimation of experiments. Coal mine dust with varying coal content of different ranks can be seen as a parameter reinforcing the cytotoxic potential of coal mine dust.

  11. Rates of induced abortion in Denmark according to age, previous births and previous abortions

    Marie-Louise H. Hansen


    Full Text Available Background: Whereas the effects of various socio-demographic determinants on a woman's risk of having an abortion are relatively well-documented, less attention has been given to the effect of previous abortions and births. Objective: To study the effect of previous abortions and births on Danish women's risk of an abortion, in addition to a number of demographic and personal characteristics. Data and methods: From the Fertility of Women and Couples Dataset we obtained data on the number of live births and induced abortions by year (1981-2001, age (16-39, county of residence and marital status. Logistic regression analysis was used to estimate the influence of the explanatory variables on the probability of having an abortion in a relevant year. Main findings and conclusion: A woman's risk of having an abortion increases with the number of previous births and previous abortions. Some interactions were was found in the way a woman's risk of abortion varies with calendar year, age and parity. The risk of an abortion for women with no children decreases while the risk of an abortion for women with children increases over time. Furthermore, the risk of an abortion decreases with age, but relatively more so for women with children compared to childless women. Trends for teenagers are discussed in a separate section.

  12. Feasibility Study on Continuous Mining Method in Deep Position of Jinchuan Nickel Mine, China


    Jinchuan nickel mine is the largest nickel mine in China. Cut-and-fill mining method with high density cementing materials is used in the mine. The original mining design divided the mining operation into two steps. The first step stopped the mining rooms and the second step stopped the pillars. Because the two-step method made big trouble for finally mining pillars and strongly limited the mining speed and production, it was successfully changed to a continuous cut-and-fill method without pillars. However, the mining operation in the mine has been down to 800m and the mining condition is getting worse and more complicated. Through systematical field investigations and 3-D FEM analysis, it is proved that the mining method without pillars is feasible for mining deeper orebodies in Jinchuan nickel mine.

  13. Sentiment Analysis and Opinion Mining

    Liu, Bing


    Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions

  14. Managing and Mining Graph Data

    Aggarwal, Charu C


    Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in t

  15. Feasibility of lunar Helium-3 mining

    Kleinschneider, Andreas; Van Overstraeten, Dmitry; Van der Reijnst, Roy; Van Hoorn, Niels; Lamers, Marvin; Hubert, Laurent; Dijk, Bert; Blangé, Joey; Hogeveen, Joel; De Boer, Lennaert; Noomen, Ron

    With fossil fuels running out and global energy demand increasing, the need for alternative energy sources is apparent. Nuclear fusion using Helium-3 may be a solution. Helium-3 is a rare isotope on Earth, but it is abundant on the Moon. Throughout the space community lunar Helium-3 is often cited as a major reason to return to the Moon. Despite the potential of lunar Helium-3 mining, little research has been conducted on a full end-to-end mission. This abstract presents the results of a feasibility study conducted by students from Delft University of Technology. The goal of the study was to assess whether a continuous end-to-end mission to mine Helium-3 on the Moon and return it to Earth is a viable option for the future energy market. The set requirements for the representative end-to-end mission were to provide 10% of the global energy demand in the year 2040. The mission elements have been selected with multiple trade-offs among both conservative and novel concepts. A mission architecture with multiple decoupled elements for each transportation segment (LEO, transfer, lunar surface) was found to be the best option. It was found that the most critical element is the lunar mining operation itself. To supply 10% of the global energy demand in 2040, 200 tons of Helium-3 would be required per year. The resulting regolith mining rate would be 630 tons per second, based on an optimistic concentration of 20 ppb Helium-3 in lunar regolith. Between 1,700 to 2,000 Helium-3 mining vehicles would be required, if using University of Wisconsin’s Mark III miner. The required heating power, if mining both day and night, would add up to 39 GW. The resulting power system mass for the lunar operations would be in the order of 60,000 to 200,000 tons. A fleet of three lunar ascent/descent vehicles and 22 continuous-thrust vehicles for orbit transfer would be required. The costs of the mission elements have been spread out over expected lifetimes. The resulting profits from Helium

  16. Isotope biogeochemical assessment of natural biodegradation processes in open cast pit mining landscapes

    Jeschke, Christina; Knöller, Kay; Koschorreck, Matthias; Ussath, Maria; Hoth, Nils


    In Germany, a major share of the energy production is based on the burning of lignite from open cast pit mines. The remediation and re-cultivation of the former mining areas in the Lusatian and Central German lignite mining district is an enormous technical and economical challenge. After mine closures, the surrounding landscapes are threatened by acid mine drainage (AMD), i.e. the acidification and mineralization of rising groundwater with metals and inorganic contaminants. The high content of sulfur (sulfuric acid, sulfate), nitrogen (ammonium) and iron compounds (iron-hydroxides) deteriorates the groundwater quality and decelerates sustainable development of tourism in (former) mining landscapes. Natural biodegradation or attenuation (NA) processes of inorganic contaminants are considered to be a technically low impact and an economically beneficial solution. The investigations of the stable isotope compositions of compounds involved in NA processes helps clarify the dynamics of natural degradation and provides specific informations on retention processes of sulfate and nitrogen-compounds in mine dump water, mine dump sediment, and residual pit lakes. In an active mine dump we investigated zones where the process of bacterial sulfate reduction, as one very important NA process, takes place and how NA can be enhanced by injecting reactive substrates. Stable isotopes signatures of sulfur and nitrogen components were examined and evaluated in concert with hydrogeochemical data. In addition, we delineated the sources of ammonium pollution in mine dump sediments and investigated nitrification by 15N-labeling techniques to calculate the limit of the conversion of harmful ammonium to nitrate in residual mining lakes. Ultimately, we provided an isotope biogeochemical assessment of natural attenuation of sulfate and ammonium at mine dump sites and mining lakes. Also, we estimated the risk potential for water in different compartments of the hydrological system. In

  17. Some problems on the research and development of the application of methane draining boring technology to prevent hazards in underground coal mines in Vietnam

    NGUYEN Xuan-Thao; NGUYEN Tran-Tuan; TRAN Dinh-Kien


    Underground coal mining activities in the Quangninh coal basin (in the North of Vietnam) have been carried out at a depth of-130 m to -150 m, and in the near future this mining depth will become -300 m and -500 m. Together with the increasing coal output, the quantity of methane and other mine gases emitted from coal beds during mining activi-ties will grow bigger and bigger. According to the forecast of the coal mining industry, if mines go deeper downward, all underground coal mines in the Quangninh basin will be classified into the mine group with the dangerous level of methane bearings. Mine gas control and management operations with conventional ventilation are less effective and entail high expenses. One of the main solutions is to carry out short, medium and long boreholes for controlling and recovering methane and other mine gases from coal beds before mining activities. Efficiency of drilling activities for methane gas recovery from coal seams with horizontal bore holes at underground coal mines depends on many factors in-cluding the mine gas draining borehole layout at the roadways, gas content in the coal beds, technologies for mine gas draining boring activities, and so on. Methane gas exists in the coal beds under the adhesive state with stable physical and chemical bonds. In or-der to recover these gases, it is necessary to carry out boreholes and create artificial joints (collecting pits) in coal beds with the impulse method (hydraulic separation method).

  18. Fault Tolerant Frequent Pattern Mining

    Shohdy, Sameh; Vishnu, Abhinav; Agrawal, Gagan


    FP-Growth algorithm is a Frequent Pattern Mining (FPM) algorithm that has been extensively used to study correlations and patterns in large scale datasets. While several researchers have designed distributed memory FP-Growth algorithms, it is pivotal to consider fault tolerant FP-Growth, which can address the increasing fault rates in large scale systems. In this work, we propose a novel parallel, algorithm-level fault-tolerant FP-Growth algorithm. We leverage algorithmic properties and MPI advanced features to guarantee an O(1) space complexity, achieved by using the dataset memory space itself for checkpointing. We also propose a recovery algorithm that can use in-memory and disk-based checkpointing, though in many cases the recovery can be completed without any disk access, and incurring no memory overhead for checkpointing. We evaluate our FT algorithm on a large scale InfiniBand cluster with several large datasets using up to 2K cores. Our evaluation demonstrates excellent efficiency for checkpointing and recovery in comparison to the disk-based approach. We have also observed 20x average speed-up in comparison to Spark, establishing that a well designed algorithm can easily outperform a solution based on a general fault-tolerant programming model.

  19. The canary in the mine.

    Iezzoni, Lisa I


    Many Americans are concerned about their access to health care in the future, especially their ability to pay for needed services. However, a person with a disabling condition requiring ongoing clinical vigilance, supportive care, and other assistive services or technologies faces special difficulties: that person is the "canary in the mine," warning others about fundamental problems within our health care system. Persons with disabilities who have health insurance are often unable to get items and services not covered by their plans. They experience more problems than others with follow-up care, availability of specialists, getting to doctors, and obtaining help during off hours. These problems suggest that people with disabilities fall into the "quality chasm," the metaphor used by the Institute of Medicine to describe the gap between ideal care and current reality. The Crossing the Quality Chasm report suggests 6 aims for fundamental reform, exhorting the health care system to become safe, effective, patient-centered, timely, efficient, and equitable. Each of these aims holds special resonance for persons with disabilities. Despite the compelling need to overhaul the health care system, the American public as yet seems little inclined to fundamental change. Perhaps the impetus must come from subgroups within the population who are particularly at risk from the current system, such as persons with disabilities. As solutions are crafted, people with disabilities, their families, and communities should help design and direct fundamental changes to the health care system.

  20. Bioavailability of jarosite for stimulating acid mine drainage attenuation

    Coggon, Matthew; Becerra, Caryl Ann; Nüsslein, Klaus; Miller, Karen; Yuretich, Richard; Ergas, Sarina J.


    Biological reduction of iron-sulfate minerals, such as jarosite, has the potential to contribute to the natural attenuation of acid mine drainage (AMD) sites. Previous studies of AMD attenuation at Davis Mine, an abandoned pyrite mine in Rowe Massachusetts, provided evidence of iron and sulfate reduction by indigenous bacteria. Jarosite is a large component of the sediment at Davis Mine and may play a role in AMD attenuation. In this study, microcosms were constructed with groundwater and sediment from Davis Mine and amended with glycerol, nitrogen and phosphorus (GNP) and naturally formed natrojarosite. Over time, higher total iron, sulfate, pH and sodium concentrations and lower oxidation-reduction potentials were observed in microcosms amended with GNP and jarosite, compared with unamended microcosms and killed controls. Geochemical modeling predicted jarosite precipitation under microcosm conditions, suggesting that abiotic processes were unlikely contributors to jarosite dissolution. SEM imaging at the jarosite surface showed microbial attachment. Microbial community composition analysis revealed a shift to higher populations of Clostridia, which are known to reduce both iron and sulfate. The results show that jarosite may be utilized as an electron acceptor by iron and/or sulfate reducing bacteria at Davis Mine and its presence may aid in the attenuation of AMD.

  1. Graph Based New Approach for Frequent Pattern Mining

    Anurag Choubey


    Full Text Available Association rule mining is a function of data mining research domain and frequent pattern mining is anessential part of it. Most of the previous studies on mining frequent patterns based on an Apriori approach, which required more number of database scans and operations for counting pattern supports in the database. Since the size of each set of transaction may be massive that it makes difficult to perform traditional data mining tasks. This research intends to propose a graph structure that captures only those itemsets that needs to define a sufficiently immense dataset into a submatrix representing important weights and does not give any chance to outliers. We have devised a strategy that covers significant facts of data by drilling down the large data into a succinct form of an Adjacency Matrix at different stages of mining process. The graph structure is so designed that it can be easily maintained and the trade off in compressing the large data values is reduced. Experimental results show the effectiveness of our graphbased approach.

  2. Implementnig Data Mining for Detection of Malware from Code

    Dharmesh Kumar Babubhai Patel


    Full Text Available In this paper we discuss various data mining techniques that we have successfully applied for cyber security. This research investigates the use of data mining methods for malware (malicious programs detection and proposed a framework as an alternative to the traditional signature detection methods. These applications include malicious code detection by mining binary executables by anomaly detection, and data stream mining. A serious security threat today is malicious executables, especially new, unseen malicious executables often arriving as email attachments. These new malicious executables are created at the rate of thousands every year and pose a serious security threat. Our research is closely related to information retrieval and classification techniques and borrows a number of ideas from the field. Current anti-virus systems attempt to detect these new malicious programs with heuristics generated by hand. This approach is costly and oftentimes ineffective. We present a data-mining framework that detects new, previously unseen malicious executables accurately and automatically. The data -mining framework automatically found patterns in our data set and used these patterns to detect a se t of new malicious binaries. Comparing our detection methods with a traditional signature based method; this method is more than doubles the current detection rates for new malicious executables.

  3. Geochemistry of Standard Mine Waters, Gunnison County, Colorado, July 2009

    Verplanck, Philip L.; Manning, Andrew H.; Graves, Jeffrey T.; McCleskey, R. Blaine; Todorov, Todor; Lamothe, Paul J.


    In many hard-rock-mining districts water flowing from abandoned mine adits is a primary source of metals to receiving streams. Understanding the generation of adit discharge is an important step in developing remediation plans. In 2006, the U.S. Environmental Protection Agency listed the Standard Mine in the Elk Creek drainage basin near Crested Butte, Colorado as a superfund site because drainage from the Standard Mine enters Elk Creek, contributing dissolved and suspended loads of zinc, cadmium, copper, and other metals to the stream. Elk Creek flows into Coal Creek, which is a source of drinking water for the town of Crested Butte. In 2006 and 2007, the U.S. Geological Survey undertook a hydrogeologic investigation of the Standard Mine and vicinity and identified areas of the underground workings for additional work. Mine drainage, underground-water samples, and selected spring water samples were collected in July 2009 for analysis of inorganic solutes as part of a follow-up study. Water analyses are reported for mine-effluent samples from Levels 1 and 5 of the Standard Mine, underground samples from Levels 2 and 3 of the Standard Mine, two spring samples, and an Elk Creek sample. Reported analyses include field measurements (pH, specific conductance, water temperature, dissolved oxygen, and redox potential), major constituents and trace elements, and oxygen and hydrogen isotopic determinations. Overall, water samples collected in 2009 at the same sites as were collected in 2006 have similar chemical compositions. Similar to 2006, water in Level 3 did not flow out the portal but was observed to flow into open workings to lower parts of the mine. Many dissolved constituent concentrations, including calcium, magnesium, sulfate, manganese, zinc, and cadmium, in Level 3 waters substantially are lower than in Level 1 effluent. Concentrations of these dissolved constituents in water samples collected from Level 2 approach or exceed concentrations of Level 1 effluent

  4. Electromagnetic Nondestructive Evaluation of Tubes using Data Mining Procedure

    Savin, A.; Iftimie, N.; Vizureanu, P.; Steigmann, R.; Dobrescu, G. S.


    The fundamental issues in nondestructive evaluation consists in the identification of events corresponding to the flaws which can appear in the examined object and their extraction from noises. This is usually done by comparison with pre-established thresholds, experimentally determined by using standard samples or in the basis of the solution of the forward problem and simulations. This paper presents the features extraction using data mining procedure in the case of tubes from steam generators having different flaws. The data mining is carried on using simulated models in CIVA 9 and experimental data gathered using an inner differential sensor developed in this purpose.

  5. SIAM 2007 Text Mining Competition dataset

    National Aeronautics and Space Administration — Subject Area: Text Mining Description: This is the dataset used for the SIAM 2007 Text Mining competition. This competition focused on developing text mining...

  6. Seismic risks posed by mine flooding

    Goldbach, OD


    Full Text Available Many South African gold mines will flood when they close, as the groundwater will gradually fill the mining voids. Preliminary investigations have shown that flooding of mines can generate increased levels of seismicity. Examples are given...

  7. Immobilization of toxic elements in mine residues derived from mining activities in the Iberian Pyrite Belt (SW Spain): Laboratory experiments

    Perez-Lopez, R.; Nieto, J.M.; de Almodovar, G.R. [University of Huelva, Huelva (Spain). Dept. of Geology


    In the mining environments of the Iberian Pyrite Belt (IPB), the oxidation of sulphide wastes generates acid drainage with high concentrations of SO{sub 4}, metals and metalloids (Acid Mine Drainage, AMD). These acid and extremely contaminated discharges are drained by the fluvial courses of the Huelva province (SW Spain) which deliver high concentrations of potentially toxic elements into the Gulf of Cadiz. In this work, the oxidation process of mine tailings in the IPB, the generation of AMD and the potential use of coal combustion fly ash as a possible alkaline treatment for neutralization of and metal removal from AMD, was studied in non-saturated column experiments. The laboratory column tests were conducted on a mine residue (71.6 wt% pyrite) with artificial rainfall or irrigation. A non-saturated column filled solely with the pyrite residue leached solutions with an acid pH (approx. 2) and high concentrations of SO{sub 4} and metals. These leachates have the same composition as typical AMD, and the oxidation process can be compared with the natural oxidation of mine tailings in the IPB. However, the application of fly ash to the same amount of mine residue in another two non-saturated columns significantly increased the pH and decreased the SO{sub 4} and metal concentrations in the leaching solutions. The improvement in the quality of leachates by fly ash addition in the laboratory was so effective that the leachate reached the pre-potability requirements of water for human consumption under EU regulations. The extrapolation of these experiments to the field is a promising solution for the decontamination of the fluvial courses of the IPB, and therefore, the decrease of pollutant loads discharging to the Gulf of Cadiz.

  8. Distributed Data Mining and Mining Multi-Agent Data

    Dr. S Vidyavathi


    Full Text Available The problem of distributed data mining is very important in network problems. Ina distributed environment (such as a sensor or IP network, one has distributed probes placed at strategic locations within the network. The problem here is to be able to correlatethe data seen at the various probes, and discover patterns in the global data seen at all the different probes. There could be different models of distributed data mining here, but one could involve a NOC that collects data from the distributed sites, and another in which all sites are treated equally. The goal here obviously would be to minimize the amount of data shipped between the various sites — essentially, to reduce the communication overhead. In distributed mining, one problem is how to mine across multipleheterogeneous data sources: multi-database and multirelational mining. Another important new area is adversary data mining. In a growing number of domains — email spam, counter-terrorism, intrusiondetection/computer security, click spam, search engine spam, surveillance, fraud detection, shop bots, file sharing, etc. — data mining systems face adversaries that deliberately manipulate the data to sabotage them (e.g. make them produce false negatives. In this paper need to develop systems that explicitly take this into account, by combining data mining with game theory.

  9. Geological Feasibility of Underground Oil Storage in Jintan Salt Mine of China

    Xilin Shi


    Full Text Available A number of large underground oil storage spaces will be constructed in deep salt mines in China in the coming years. According to the general geological survey, the first salt cavern oil storage base of China is planned to be built in Jintan salt mine. In this research, the geological feasibility of the salt mine for oil storage is identified in detail as follows. (1 The characteristics of regional structure, strata sediment, and impermeable layer distribution of Jintan salt mine were evaluated and analyzed. (2 The tightness of cap rock was evaluated in reviews of macroscopic geology and microscopic measuring. (3 According to the geological characteristics of Jintan salt mine, the specific targeted formation for building underground oil storage was chosen, and the sealing of nonsalt interlayers was evaluated. (4 Based on the sonar measuring results of the salt caverns, the characteristics of solution mining salt caverns were analyzed. In addition, the preferred way of underground oil storage construction was determined. (5 Finally, the results of closed well observation in solution mining salt caverns were assessed. The research results indicated that Jintan salt mine has the basic geological conditions for building large-scale underground oil storage.

  10. Data Mining for Security Information: A Survey

    Brugger, S T; Kelley, M; Sumikawa, K; Wakumoto, S


    This paper will present a survey of the current published work and products available to do off-line data mining for computer network security information. Hundreds of megabytes of data are collected every second that are of interest to computer security professionals. This data can answer questions ranging from the proactive, ''Which machines are the attackers going to try to compromise?'' to the reactive, ''When did the intruder break into my system and how?'' Unfortunately, there's so much data that computer security professionals don't have time to sort through it all. What we need are systems that perform data mining at various levels on this corpus of data in order to ease the burden of the human analyst. Such systems typically operate on log data produced by hosts, firewalls and intrusion detection systems as such data is typically in a standard, machine readable format and usually provides information that is most relevant to the security of the system. Systems that do this type of data mining for security information fall under the classification of intrusion detection systems. It is important to point out that we are not surveying real-time intrusion detection systems. Instead, we examined what is possible when the analysis is done off-line. Doing the analysis off-line allows for a larger amount of data correlation between distant sites who transfer relevant log files periodically and may be able to take greater advantage of an archive of past logs. Such a system is not a replacement for a real-time intrusion detection system but should be used in conjunction with one. In fact, as noted previously, the logs of the real-time IDS may be one of the inputs to the data mining system. We will concentrate on the application of data mining to network connection data, as opposed to system logs or the output of real-time intrusion detection systems. We do this primarily because this data is readily obtained from

  11. Spatiotemporal Data Mining: A Computational Perspective

    Shashi Shekhar


    Full Text Available Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal knowledge. Spatiotemporal data mining studies the process of discovering interesting and previously unknown, but potentially useful patterns from large spatiotemporal databases. It has broad application domains including ecology and environmental management, public safety, transportation, earth science, epidemiology, and climatology. The complexity of spatiotemporal data and intrinsic relationships limits the usefulness of conventional data science techniques for extracting spatiotemporal patterns. In this survey, we review recent computational techniques and tools in spatiotemporal data mining, focusing on several major pattern families: spatiotemporal outlier, spatiotemporal coupling and tele-coupling, spatiotemporal prediction, spatiotemporal partitioning and summarization, spatiotemporal hotspots, and change detection. Compared with other surveys in the literature, this paper emphasizes the statistical foundations of spatiotemporal data mining and provides comprehensive coverage of computational approaches for various pattern families. ISPRS Int. J. Geo-Inf. 2015, 4 2307 We also list popular software tools for spatiotemporal data analysis. The survey concludes with a look at future research needs.

  12. Flooding of S. Dakota mine stalls plans for laboratory

    Chang, K


    The owner of a former gold mine in South Dakota turned off the pumps allowing water to begin accumulating in the tunnels below ground. The site had previously been proposed as the location for a new underground particle physics and astronomy laboratory (1 page).

  13. Mineral mining installation

    Plevak, L.; Weirich, W.


    A longwall mineral mining installation has a longwall conveyor and a plurality of roof support units positioned side-by-side at the goaf side of the conveyor. The hydraulic appliances of the roof support units, such as their hydraulic props, hydraulic advance rams and hydraulic control valves, are supplied with pressurized hydraulic fluid from hydraulic supply lines which run along the goaf side of the conveyor. A plurality of flat, platelike intermediate members are provided at the goaf side of the conveyor. These intermediate members are formed with internal ducts for feeding the hydraulic fluid from the supply lines to the hydraulic appliances of the roof support units.

  14. Hydraulic mining method

    Huffman, Lester H.; Knoke, Gerald S.


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

  15. The Ruptured Pipeline: Analysis of the Mining Engineering Faculty Pipeline

    Poulton, M.


    a university career at some point in their lives but only 6% of the PhD respondents had applied for the open positions. 69% of Ph.D. students in the survey had graduation dates that would have made them eligible to apply for the open positions. 51% of the responding graduate students are US citizens. Full time graduate student enrollment would have to increase by 75% in order to provide enough graduate students to meet tenure and promotion expectations for mining engineering faculty in the U.S. New research funding on the order of $17M per year would have to be supplied to sustain the mining engineering faculty at a level expected of most R1 engineering colleges. Salaries for new faculty hires are comparable to those offered to BSc graduates by industry. The difficulties in achieving tenure due to lack of government research funding have made academic careers unattractive. If a solution is not found soon to refill the faculty pipeline, the U.S. is in danger of losing nearly all of its capacity to educate students in mining engineering.

  16. Numerical simulation of gas flow process in mining-induced crack network

    Zhou; Hongwei; Liu; Jinfeng; Xue; Dongjie; Yi; Haiyang; Xue; Junhua


    The exploitation of coal bed methane or coal gas is one of the most effective solutions of the problem of coal gas hazard.A better understanding of gas flow in mining-induced cracks plays an important role in comprehensive development and utilization of coal gas as well as prevention of coal gas hazard.This paper presents a case study of gas flow in mining-induced crack network regarding the situation of low permeability of coal seam.A two-dimensional physical model is constructed on the basis of geological background of mining face No.1122(1) in coal seam No.11-2,Zhangji Coal Mine,Huainan Mining Group Corporation.The mining-induced stress and cracks in overburden rocks are obtained by simulating an extraction in physical model.An evolution of mining-induced cracks in the process of advancing of coal mining face is characterized and three typical crack networks are taken from digital photos by means of image analysis.Moreover,the numerical software named COMSOL Multiphysics is employed to simulate the process of gas flow in three representative crack networks.Isograms of gas pressure at various times in mining-induced crack networks are plotted,suggesting a shape and dimension of gas accumulation area.

  17. Selected Water-Quality Data for the Standard Mine, Gunnison County, Colorado, 2006-2007

    Verplanck, Philip L.; Manning, Andrew H.; Mast, M. Alisa; Wanty, Richard B.; McCleskey, R. Blaine; Todorov, Todor; Adams, Monique


    Mine drainage and underground water samples were collected for analysis of inorganic solutes as part of a 1-year, hydrogeologic investigation of the Standard Mine and vicinity. The U.S. Environmental Protection Agency has listed the Standard Mine in the Elk Creek drainage near Crested Butte, Colorado, as a Superfund Site because discharge from the Standard Mine enters Elk Creek, contributing dissolved and suspended loads of zinc, cadmium, copper, and other metals to Coal Creek, which is the primary drinking-water supply for the town of Crested Butte. Water analyses are reported for mine-effluent samples from Levels 1 and 5 of the Standard Mine, underground samples from Levels 3 and 5 of the Standard Mine, mine effluent from an adit located on the Elk Lode, and two spring samples that emerged from waste-rock material below Level 5 of the Standard Mine and the adit located on the Elk Lode. Reported analyses include field parameters (pH, specific conductance, water temperature, dissolved oxygen, and redox potential) and major constituents and trace elements.


    Witold BIAŁY


    Full Text Available Due to very specific conditions of work of machines and equipment used in coal mining industry, the manner of their selection, taking into account the changing working conditions, is very important. Appropriate selection influences the increased durability and reliability of machines and equipment, which translates into the economic effects achieved. As the issue of measurement and evaluation of coal mechanical properties (including coal workability measurement is of great importance, previously applied methods for coal workability evaluation have been shortly reviewed. The im-portance of the problem is confirmed by the number of methods developed in various research centres all over the world. The article presents new instruments for determining and evaluating the mechanical properties of coal material (workability. The instruments have been developed in Poland and the author of this article is their co-inventor. The construction, principle of operation and innovative character of solutions applied in the instruments have been presented.

  19. Topology Mining for Optimization of Framed Structures

    Hagishita, Takao; Ohsaki, Makoto

    A new heuristic method called Topology Mining (TM) is proposed for topology optimization of framed structures, where the problem is formulated as 0-1 mixed-integer optimization problem. TM uses the apriori algorithm, developed in the field of data mining, to efficiently extract the bar sets that frequently appears among superior solutions, and proceeds so as to preserve the sets. Hence, the process of optimization can be investigated by tracing the frequent bar sets, accordingly, the parameters for optimization can easily be adjusted. It is pointed out that the ground structure method based on nonlinear programming is not effective for finding optimal placement of braces for a given frame under local buckling constraints. We propose an integrated approach to obtain an accurate solution of this problem, where optimal placement of braces is searched by TM, and the sizing optimization is performed by nonlinear programming. Three numerical examples are solved to demonstrate the performance of TM in comparison with another heuristic method called tabu search.

  20. Education Roadmap for Mining Professionals



    This document represents the roadmap for education in the U.S. mining industry. It was developed based on the results of an Education Roadmap Workshop sponsored by the National Mining Association in conjunction with the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Office of Industrial Technologies. The Workshop was held February 23, 2002 in Phoenix, Arizona.

  1. Process Mining Online Assessment Data

    Pechenizkiy, Mykola; Trcka, Nikola; Vasilyeva, Ekaterina; van der Aalst, Wil; De Bra, Paul


    Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated through the use of different information systems. The results of data mining can be used for getting a better understanding of the underlying educational processes, for…

  2. Finding Gold in Data Mining

    Flaherty, Bill


    Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…

  3. Electricity solidifies slime mine waste


    Electrokinetic densification, a simple, inexpensive and rapid technique, has been used successfully to convert slimes from meta mining into solid fill material. The US Bureau of Mines is now investigating the possible application of the technique to coal slimes. Tests show promise and a demonstration plant is planned.

  4. Coal Mine Methane in Russia



    This paper discusses coal mine methane emissions (CMM) in the Russian Federation and the potential for their productive utilisation. It highlights specific opportunities for cost-effective reductions of CMM from oil and natural gas facilities, coal mines and landfills, with the aim of improving knowledge about effective policy approaches.

  5. Coal mining in socioeconomic aspect



    The article investigate the correlation of economic and social factors in the development of coal mining on example of vertically integrated companies with both domestic and foreign assets. The effect of socioeconomic aspects which have led to the American paradox of coal is studied to understand the essence of the coal mining industry at the present stage of the global economic management.

  6. Mining research for enhanced competitiveness

    Vogt, D


    Full Text Available Mining is very important to South Africa, contributing 7% of GDP directly, and 15% indirectly and employing more than 450 000 people. With the world’s largest resources of gold, platinum and ferrochrome, and major coal resources, mining...

  7. Finding Gold in Data Mining

    Flaherty, Bill


    Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…

  8. Preference Mining Using Neighborhood Rough Set Model on Two Universes


    Preference mining plays an important role in e-commerce and video websites for enhancing user satisfaction and loyalty. Some classical methods are not available for the cold-start problem when the user or the item is new. In this paper, we propose a new model, called parametric neighborhood rough set on two universes (NRSTU), to describe the user and item data structures. Furthermore, the neighborhood lower approximation operator is used for defining the preference rules. Then, we provide the means for recommending items to users by using these rules. Finally, we give an experimental example to show the details of NRSTU-based preference mining for cold-start problem. The parameters of the model are also discussed. The experimental results show that the proposed method presents an effective solution for preference mining. In particular, NRSTU improves the recommendation accuracy by about 19% compared to the traditional method. PMID:28044074

  9. Analysis of Hospital Processes with Process Mining Techniques.

    Orellana García, Arturo; Pérez Alfonso, Damián; Larrea Armenteros, Osvaldo Ulises


    Process mining allows for discovery, monitoring, and improving processes identified in information systems from their event logs. In hospital environments, process analysis has been a crucial factor for cost reduction, control and proper use of resources, better patient care, and achieving service excellence. This paper presents a new component for event logs generation in the Hospital Information System or HIS, developed at University of Informatics Sciences. The event logs obtained are used for analysis of hospital processes with process mining techniques. The proposed solution intends to achieve the generation of event logs in the system with high quality. The performed analyses allowed for redefining functions in the system and proposed proper flow of information. The study exposed the need to incorporate process mining techniques in hospital systems to analyze the processes execution. Moreover, we illustrate its application for making clinical and administrative decisions for the management of hospital activities.

  10. Planning of the reforestation at abandoned coal mines using GIS

    Choi, Y.; Oh, S.; Park, H.; Kwon, H.


    This study presents a prototype of decision support system for planning the reforestation at abandoned coal mines. The characteristics of deforested zone due to mine development were analyzed and categorized to define the schema of GIS database. Multiple criteria (i.e. forest-climate zone, mining method, visibility, managerial condition, slope gradient, reforestation purpose) were considered to classify the deforested zone and to assign unique IDs to the key index fields in tables. ArcMap, ArcObjects and Visual Basic.NET were used to implement the system. The application to the Samcheok coal block in Korea shows that the system could present a rational solution to select suitable trees for the reforestation and can also provide cost evaluation tools to support the environmental planning work.

  11. Preference Mining Using Neighborhood Rough Set Model on Two Universes.

    Zeng, Kai


    Preference mining plays an important role in e-commerce and video websites for enhancing user satisfaction and loyalty. Some classical methods are not available for the cold-start problem when the user or the item is new. In this paper, we propose a new model, called parametric neighborhood rough set on two universes (NRSTU), to describe the user and item data structures. Furthermore, the neighborhood lower approximation operator is used for defining the preference rules. Then, we provide the means for recommending items to users by using these rules. Finally, we give an experimental example to show the details of NRSTU-based preference mining for cold-start problem. The parameters of the model are also discussed. The experimental results show that the proposed method presents an effective solution for preference mining. In particular, NRSTU improves the recommendation accuracy by about 19% compared to the traditional method.

  12. Application of TEM in hydrogeological prospecting of mining district

    Lid Shu-cai; Liu Zhi-xin; Jang Zhi-hai [China University of Milling & Technology, Xuzhou (China). School of Resource and Earth Science


    Exploration of small structures and their transmissivity is very important in coal mining geology. The 3D seismic method is mainly applied in detecting geological structures while the electrical method is mainly applied in detecting structures which are filled with water. In this paper the principle, the field procedure, the method of data processing and interpretation are introduced. The TEM combining with 3D seismic method is applied in hydrogeological prospecting of mining district. The result indicates that the combination of TEM and seismic method can solve, to some extent, the problem of multi-solution, improve the detecting precision, and provide reliable hydro-geophysical information for the prevention and control of water disaster in coal mines. 10 refs., 4 figs.

  13. Data Mining for Anomaly Detection

    Biswas, Gautam; Mack, Daniel; Mylaraswamy, Dinkar; Bharadwaj, Raj


    The Vehicle Integrated Prognostics Reasoner (VIPR) program describes methods for enhanced diagnostics as well as a prognostic extension to current state of art Aircraft Diagnostic and Maintenance System (ADMS). VIPR introduced a new anomaly detection function for discovering previously undetected and undocumented situations, where there are clear deviations from nominal behavior. Once a baseline (nominal model of operations) is established, the detection and analysis is split between on-aircraft outlier generation and off-aircraft expert analysis to characterize and classify events that may not have been anticipated by individual system providers. Offline expert analysis is supported by data curation and data mining algorithms that can be applied in the contexts of supervised learning methods and unsupervised learning. In this report, we discuss efficient methods to implement the Kolmogorov complexity measure using compression algorithms, and run a systematic empirical analysis to determine the best compression measure. Our experiments established that the combination of the DZIP compression algorithm and CiDM distance measure provides the best results for capturing relevant properties of time series data encountered in aircraft operations. This combination was used as the basis for developing an unsupervised learning algorithm to define "nominal" flight segments using historical flight segments.

  14. Sealing of underground workings and deep boreholes by polymer solutions

    Stryczek, S.; Postawa, J.; Capik, M.; Beres, J.


    Describes application and properties of Solakryl ASM 10 and Marwit S 50 polymers for rock sealing purposes in Polish underground black coal mines. Polymer powders are mixed with water and injected into boreholes to prevent spontaneous fire propagation, stop gas release from coal seams, improve mine ventilation and prevent water influx. Diagrams for gelation performance, polymerization time and solution viscosity are provided. Solutions are also mixed with filler (fly ash, gypsum) if voids and crevices are of larger volume. Density and viscosity values of polymer solution and filler mixtures relevant for pumping procedures are given. A time function for optimum Marwit concentration and volume swelling during water absorption is also derived. AzNII-cone analysis was applied for assessing solution pumpability. Examples of successful solution injection during shaft sinking by rock freezing and during fire fighting in an underground coal mine are given. 5 refs.

  15. Introduction to Space Resource Mining

    Mueller, Robert P.


    There are vast amounts of resources in the solar system that will be useful to humans in space and possibly on Earth. None of these resources can be exploited without the first necessary step of extra-terrestrial mining. The necessary technologies for tele-robotic and autonomous mining have not matured sufficiently yet. The current state of technology was assessed for terrestrial and extraterrestrial mining and a taxonomy of robotic space mining mechanisms was presented which was based on current existing prototypes. Terrestrial and extra-terrestrial mining methods and technologies are on the cusp of massive changes towards automation and autonomy for economic and safety reasons. It is highly likely that these industries will benefit from mutual cooperation and technology transfer.

  16. Web Mining and Social Networking

    Xu, Guandong; Zhang, Yanchun; Li, Lin

    sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.......This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web...... mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal...

  17. Real world data mining applications

    Abou-Nasr, Mahmoud; Stahlbock, Robert; Weiss, Gary M


    Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. Present-day data mining is a progressive multidisciplinary endeavor. This inter- and multidisciplinary approach is well reflected within the field of information systems. The information systems research addresses software and hardware requirements for supporting computationally and data-intensive applications. Furthermore, it encompasses analyzing system and data aspects, and all manual or automated activities. In that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making. The aim of the proposed volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring s...

  18. The hydrogen mine introduction initiative

    Betournay, M.C.; Howell, B. [Natural Resources Canada, Ottawa, ON (Canada). CANMET Mining and Mineral Sciences Laboratories


    In an effort to address air quality concerns in underground mines, the mining industry is considering the use fuel cells instead of diesel to power mine production vehicles. The immediate issues and opportunities associated with fuel cells use include a reduction in harmful greenhouse gas emissions; reduction in ventilation operating costs; reduction in energy consumption; improved health benefits; automation; and high productivity. The objective of the hydrogen mine introduction initiative (HMII) is to develop and test the range of fundamental and needed operational technology, specifications and best practices for underground hydrogen power applications. Although proof of concept studies have shown high potential for fuel cell use, safety considerations must be addressed, including hydrogen behaviour in confined conditions. This presentation highlighted the issues to meet operational requirements, notably hydrogen production; delivery and storage; mine regulations; and hydrogen behaviour underground. tabs., figs.

  19. Data mining and education.

    Koedinger, Kenneth R; D'Mello, Sidney; McLaughlin, Elizabeth A; Pardos, Zachary A; Rosé, Carolyn P


    An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from various educational technologies. EDM researchers are addressing questions of cognition, metacognition, motivation, affect, language, social discourse, etc. using data from intelligent tutoring systems, massive open online courses, educational games and simulations, and discussion forums. The data include detailed action and timing logs of student interactions in user interfaces such as graded responses to questions or essays, steps in rich problem solving environments, games or simulations, discussion forum posts, or chat dialogs. They might also include external sensors such as eye tracking, facial expression, body movement, etc. We review how EDM has addressed the research questions that surround the psychology of learning with an emphasis on assessment, transfer of learning and model discovery, the role of affect, motivation and metacognition on learning, and analysis of language data and collaborative learning. For example, we discuss (1) how different statistical assessment methods were used in a data mining competition to improve prediction of student responses to intelligent tutor tasks, (2) how better cognitive models can be discovered from data and used to improve instruction, (3) how data-driven models of student affect can be used to focus discussion in a dialog-based tutoring system, and (4) how machine learning techniques applied to discussion data can be used to produce automated agents that support student learning as they collaborate in a chat room or a discussion board.

  20. Mining industry and US government cooperative research: Lessons learned and benefits to mining industry

    Pearson, D.C.; Stump, B.W.; Phillips, W.S. [Los Alamos National Lab., NM (United States). Earth and Environmental Sciences Div.; Martin, R. [Thunder Basin Coal Co. (United States); Anderson, D.P. [Southern Methodist Univ., Dallas, TX (United States). Dept. of Geological Sciences


    Since 1994, various mines in the US have cooperated with research scientists at the Los Alamos and Lawrence Livermore National Laboratories to address issues related to verification of the Comprehensive Test Ban Treaty (CTBT). The CTBT requires that no country may conduct any nuclear explosion in the future. While the CTBT is a significant step toward reducing the global nuclear danger, verifying compliance with the treat requires that the monitoring system be able to detect, locate and identify much larger numbers of smaller amplitude seismic events than had been required previously. Large mining blasts conducted world-wide will be of sufficient amplitude to trigger the monitoring system at the lower threshold. It is therefore imperative that research into the range various blasting practices employed, the relationship of yield to seismic magnitude, and identification of anomalous blasting results be performed. This paper will describe a suite of experiments funded by the Department of Energy and conducted by the Los Alamos and Lawrence Livermore National Laboratories in cooperation with the US mining industry. Observations of cast blasting, underground long wall generated coal bumps, stoping, and explosively induced collapse of room and pillar panels will be presented. Results of these dual use experiments which are of interest to the mining community will be discussed. These include (1) variation of amplitude of seismic energy at various azimuths from cast blasts, (2) identification of the extent of back failure following explosive removal of pillars, and (3) the use of single fired shots for calibration of the monitoring system. The wealth of information and discovery described in this paper is a direct result of mutual cooperation between the US Government and the US Mining Industry.


    R. Sh. Saitgareev


    cited in the review may have important clinical applications, because they outline the range of problems and possible solutions in the performance of the HTx in recipients previously operated on open heart. This knowledge can facilitate the decision making process with regard to the opportunities and risks of the implementation of HTx. Given the uniqueness of each of the recipient and the donor, it is required to make a personalized approach to the question of the possible risks and to the preventive measures to reduce those risks in any given clinical situation. 

  2. Physics Mining of Multi-Source Data Sets

    Helly, John; Karimabadi, Homa; Sipes, Tamara


    Powerful new parallel data mining algorithms can produce diagnostic and prognostic numerical models and analyses from observational data. These techniques yield higher-resolution measures than ever before of environmental parameters by fusing synoptic imagery and time-series measurements. These techniques are general and relevant to observational data, including raster, vector, and scalar, and can be applied in all Earth- and environmental science domains. Because they can be highly automated and are parallel, they scale to large spatial domains and are well suited to change and gap detection. This makes it possible to analyze spatial and temporal gaps in information, and facilitates within-mission replanning to optimize the allocation of observational resources. The basis of the innovation is the extension of a recently developed set of algorithms packaged into MineTool to multi-variate time-series data. MineTool is unique in that it automates the various steps of the data mining process, thus making it amenable to autonomous analysis of large data sets. Unlike techniques such as Artificial Neural Nets, which yield a blackbox solution, MineTool's outcome is always an analytical model in parametric form that expresses the output in terms of the input variables. This has the advantage that the derived equation can then be used to gain insight into the physical relevance and relative importance of the parameters and coefficients in the model. This is referred to as physics-mining of data. The capabilities of MineTool are extended to include both supervised and unsupervised algorithms, handle multi-type data sets, and parallelize it.

  3. The Kelastic variable wall mining machine. Interim final report



    This machine cuts coal along a longwall face extending up to 500 feet by a rotating auger with bits. The machine also transports the coal that is cut acting as screw conveyor. By virtue of an integral shroud comprising part of the conveyor the machine is also amenable to a separation of the zones where men work from air being contaminated by dust and methane gas by the cutting action. Beginning as single intake air courses, the air separates at the working section where one split provides fresh air to the Occupied Zone (OZ) for human needs and the other split purges and carries away dust and methane from face fragmentation in the Cutting Zone (CZ). The attractiveness of the Variable Wall Mining Machine is that it addresses the limitations of current longwall mining equipment: it can consistently out-produce continuous mining machines and most longwall shearing machines. It also is amenable to configuring an environment, the dual-duct system, where the air for human breathing is separated from dust-laden ventilating air with methane mixtures. The objective of the research was to perform a mathematical and experimental study of the interrelationships of the components of the system so that a computer model could demonstrate the workings of the system in an animation program. The analysis resulted in the compilation of the parameters for three different configurations of a dual aircourse system of ventilating underground mines. In addressing the goal of an inherently safe mining system the dual-duct adaptation to the Variable Wall Mining Machine appears to offer the path to solution. The respirable dust problem is solvable; the explosive dust problem is nearly solvable; and the explosive methane problem can be greatly reduced. If installed in a highly gassy mine, the dual duct models would also be considerably less costly.

  4. Lunabotics Mining Competition: Inspiration through Accomplishment

    Mueller, Robert P.


    Space Mining for resources such as water ice, and regolith, which contain many elements in the form of metals, minerals, volatiles and other compounds, is a necessary step in Space Resource Utilization. One of the primary goals is to extract propellants from the regolith such as oxygen and hydrogen which could then be used for in-space transportation. In addition, the space mining system can be used for various construction tasks that can benefit human and robotic exploration as well as scientific investigations based on the exposed topography. The National Aeronautics & Space Administration (NASA) Lunabotics Mining Competition is a university-level competition designed to engage and retain students in science, technology, engineering and mathematics (STEM). NASA will directly benefit from the competition by encouraging the development of innovative lunar excavation concepts from universities which may result in clever ideas and solutions which could be applied to an actual lunar excavation device or payload. The challenge is for students to design and build a remote controlled or autonomous excavator, called a lunabot, that can collect and deposit a minimum of 10 kilograms of lunar simulant within 15 minutes. The complexities of the challenge include the abrasive characteristics of the lunar simulant, the weight and size limitations of the lunabot, and the ability to control the lunabot from a remote control center or operate autonomously. This paper will present an update of the results and lessons learned during the first and second annual Lunabotics Mining Competitions held in May 2010 and May 2011. It will also preview the 2012 competition with a review of the revised rules. In 2010,22 United States (US) universities competed, and in May 2011 the competition was opened to international participation. In 2011, 36 teams actually competed from 26 USA states and 4 foreign countries (India, Bangladesh, Colombia and Canada). This combined total directly inspired an

  5. Hydrogeochemistry and microbiology of mine drainage: An update

    Nordstrom, D. Kirk; Blowes, D.W; Ptacek, C.J.


    The extraction of mineral resources requires access through underground workings, or open pit operations, or through drillholes for solution mining. Additionally, mineral processing can generate large quantities of waste, including mill tailings, waste rock and refinery wastes, heap leach pads, and slag. Thus, through mining and mineral processing activities, large surface areas of sulfide minerals can be exposed to oxygen, water, and microbes, resulting in accelerated oxidation of sulfide and other minerals and the potential for the generation of low-quality drainage. The oxidation of sulfide minerals in mine wastes is accelerated by microbial catalysis of the oxidation of aqueous ferrous iron and sulfide. These reactions, particularly when combined with evaporation, can lead to extremely acidic drainage and very high concentrations of dissolved constituents. Although acid mine drainage is the most prevalent and damaging environmental concern associated with mining activities, generation of saline, basic and neutral drainage containing elevated concentrations of dissolved metals, non-metals, and metalloids has recently been recognized as a potential environmental concern. Acid neutralization reactions through the dissolution of carbonate, hydroxide, and silicate minerals and formation of secondary aluminum and ferric hydroxide phases can moderate the effects of acid generation and enhance the formation of secondary hydrated iron and aluminum minerals which may lessen the concentration of dissolved metals. Numerical models provide powerful tools for assessing impacts of these reactions on water quality.

  6. A Survey on Event Mining for ICT Network Infrastructure Management

    LIU Zheng; LI Tao; WANG Junchang


    Managing large⁃scale complex network infrastructures is chal⁃lenging due to the huge number of heterogeneous network el⁃ements. The goal of this survey is to provide an overview of event mining techniques applied in the network management domain. Event mining includes a series of techniques for au⁃tomatically and effectively discovering valuable knowledge from historical event/log data. We present three research challenges (i.e., event generation, root cause analysis, and failure prediction) for event mining in network management and introduce the corresponding solutions. Event generation (i.e., converting messages in log files into structured events) is the first step in many event mining applications. Automat⁃ic root cause analysis can locate the faulty elements/compo⁃nents without the help of experienced domain experts. Fail⁃ure prediction in proactive fault management improves net⁃work reliability. The representative studies to address the three aforementioned challenges are reviewed and their main ideas are summarized in the survey. In addition, our survey shows that using event mining techniques can improve the network management efficiency and reduce the management cost.

  7. Study of Inorganic Pollutants Removal from Acid Mine Drainage by Hemp Hurds

    Demcak, Stefan; Balintova, Magdalena


    Sulphates in wastewaters have an origin as the by-products of a variety of industrial operations. A specific and major producer of such effluents, which contained sulphates and heavy metals, is the mining industry. These contaminants should be removed from wastewater using an adequate process of treatment. The paper deals with selected heavy metals (iron, cooper, and manganese) and sulphate removal from acid mine drainage outflowing from an abandoned mine in Smolnik (Slovakia) using the modified biosorbent - Holland hemp hurds. Pre-treatment of acid mine drainage was based on oxidation of ferrous cations from acid mine drainage by hydrogen peroxide and subsequent precipitation. The precipitate were analysed by infrared spectrometry which found the precipitate containing hydroxide and sulphate functional groups. During this process the concentration of sulphate decreased by 43.8 %. Hemp hurds modified by NaOH decreased concentration of Cu2+ in solution by about 70 %

  8. Mining and Integration of Environmental Data

    Tran, V.; Hluchy, L.; Habala, O.; Ciglan, M.


    spatio-temporal data integration to following phases: • pre-integration data processing - different data set can be physically stored in different formats (e.g. relational databases, text files); it might be necessary to pre-process the data sets to be integrated, • identification of transformation operations necessary to integrate data in spatio-temporal dimensions, • identification of transformation operations to be performed on non-spatio-temporal attributes and • output data schema and set generation - given prepared data and the set of transformation, operations, the final integrated schema is produces. Spatio-temporal dimension brings its specifics also to the problem of mining spatio-temporal data sets. Spatio-temporal relationships exist among records in (s-t) data sets and those relationships should be considered in mining operation. This means that when analyzing a record in spatio-temporal data set, the records in its spatial and/or temporal proximity should be taken into account. In addition, the relationships discovered in spatio-temporal data can be different when mining the same data on different scales (e.g. mining the same data sets on 50 km grid with daily data vs. 10 km grid with hourly data). To be able to do effective data mining, we first needed to gather a sufficient amount of environmental data covering similar area and time span. For this purpose we have engaged in cooperation with several organizations working in the environmental domain in Slovakia, some of which are also our partners from previous research efforts. The organizations which volunteered some of their data are the Slovak Hydro-meteorological Institute (SHMU), the Slovak Water Enterprise (SVP), the Soil Science and Conservation Institute (VUPOP), and the Institute of Hydrology of the Slovak Academy of Sciences (UHSAV). We have prepared scenarios from general meteorology, as well as specialized in hydrology and soil protection.

  9. Method of branch ariflow for calculatinga complicated mine ventilation networks

    LIU Ze-gong


    The solutions widely used at preeent for calculating complicated mine ventilation networks are ones in which resistance of the branches and characteristic parameters of the fans are taken as basic input data. But it is time-and-energy-consuming to obtain the branch resistance values. A new solution is developed in this peper in which the branch reeistance values are obtained through measuring and evaluating the airflow of the whole ventilation network. Theoretical analysis is made of the establishment of a linear equation series with branch resistance as unknown numbers, an equation series for which one, and only one, result of solutions exists. This solution is programmed in C language and passed on a personal computer. The programmed solution programmed proves of practical use, as demonstrated by specific examples. Being different from other solutions, the method takes the branch airflow and fan working points as basic input data, and the present solution is of greater advantage for calculating ventilation networks of mines in operation.

  10. Summary of coal problems and possible geophysics solutions

    Van Schoor, Abraham M


    Full Text Available Plan view of old working Cross section (A–B) Figure 4.1 Schematic plan and sectional views of typical ‘old workings’ delineating previously mined areas This problem typically occurs where active mining encroaches on a previously mined area. Historic... in the unmined blocks between adjacent boreholes, through a tomographic approach. However, the unavoidable range-resolution trade-off associated with methods such as cross-hole radar imaging may require many more boreholes than are economically justified...

  11. Management of mining-related damages in abandoned underground coal mine areas using GIS

    Lee, U.J.; Kim, J.A.; Kim, S.S. [Coal Industry Promotion Board, Seoul (Korea, Republic of); Kim, W.K.; Yoon, S.H.; Choi, J.K. [Ssangyong Information and Communication Corp., Seoul (Korea, Republic of)


    The mining-related damages such as ground subsidence, acid mine drainage (AMD), and deforestation in the abandoned underground coal mine areas become an object of public concern. Therefore, the system to manage the mining-related damages is needed for the effective drive of rehabilitation activities. The management system for Abandoned Underground Coal Mine using GIS includes the database about mining record and information associated with the mining-related damages and application programs to support mine damage prevention business. Also, this system would support decision-making policy for rehabilitation and provide basic geological data for regional construction works in abandoned underground coal mine areas. (authors)

  12. Efficient Mining of Frequent Closed XML Query Pattern

    Jian-Hua Feng; Qian Qian; Jian-Yong Wang; Li-Zhu Zhou


    Previous research works have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent but only the closed ones because the latter leads to not only more compact yet complete result set but also better efficiency. Upon discovery of frequent closed XML query patterns, indexing and caching can be effectively adopted for query performance enhancement. Most of the previous algorithms for finding frequent patterns basically introduced a straightforward generate-and-test strategy. In this paper, we present SOLARIA*, an efficient algorithm for mining frequent closed XML query patterns without candidate maintenance and costly tree-containment checking. Efficient algorithm of sequence mining is involved in discovering frequent tree-structured patterns, which aims at replacing expensive containment testing with cheap parent-child checking in sequences. SOLARIA* deeply prunes unrelated search space for frequent pattern enumeration by parent-child relationship constraint. By a thorough experimental study on various real-life data, we demonstrate the efficiency and scalability of SOLARIA* over the previous known alternative. SOLARIA* is also linearly scalable in terms of XML queries' size.


    Ivica M Ristović


    Full Text Available Coal plays a fundamental role in global development, but the coal mining industry exerts impact on the environment, society and economy. Kolubara Coal Company produces about 30 million tonnes of coal, and digs about 70 million m3 of overburden per year. The main result of surface coal is certainly taking agricultural land, so that surface mines, which affect large areas in Kolubara, about 100 hectars a year, causing a number of problems related to the recultivation of degraded area after coal extraction. The lignite extraction through the method of opencast mining in Kolubara is about 60 years old. The previous exploitation usage is characterised by the fact that the disposal of overburden is made non-selectively, whereas the surface solum is not being preserved. The recultivation is carried out in parallel with overburden excavation. It is necessary to preserve the fertile solum through selective excavation in order to bring the soil back to its previous purpose - agricultural production. The objective of this paper is mainly to point out the need for the further expansion of the utilisation of fossil fuels, which in turn reduces the emission of CO2, and thus reduces or prevents global climate changes on Earth. In addition to that, bringing back deteriorated terrains to their previous purpose - agricultural production, or the afforestation - contributes to the maintenance of ecological balance in nature, which then makes coal mining sustainable.

  14. [Introduction to medical data mining].

    Zhu, Lingyun; Wu, Baoming; Cao, Changxiu


    Modern medicine generates a great deal of information stored in the medical database. Extracting useful knowledge and providing scientific decision-making for the diagnosis and treatment of disease from the database increasingly becomes necessary. Data mining in medicine can deal with this problem. It can also improve the management level of hospital information and promote the development of telemedicine and community medicine. Because the medical information is characteristic of redundancy, multi-attribution, incompletion and closely related with time, medical data mining differs from other one. In this paper we have discussed the key techniques of medical data mining involving pretreatment of medical data, fusion of different pattern and resource, fast and robust mining algorithms and reliability of mining results. The methods and applications of medical data mining based on computation intelligence such as artificial neural network, fuzzy system, evolutionary algorithms, rough set, and support vector machine have been introduced. The features and problems in data mining are summarized in the last section.

  15. Radioecological impacts of tin mining.

    Aliyu, Abubakar Sadiq; Mousseau, Timothy Alexander; Ramli, Ahmad Termizi; Bununu, Yakubu Aliyu


    The tin mining activities in the suburbs of Jos, Plateau State, Nigeria, have resulted in technical enhancement of the natural background radiation as well as higher activity concentrations of primordial radionuclides in the topsoil of mining sites and their environs. Several studies have considered the radiological human health risks of the mining activity; however, to our knowledge no documented study has investigated the radiological impacts on biota. Hence, an attempt is made to assess potential hazards using published data from the literature and the ERICA Tool. This paper considers the effects of mining and milling on terrestrial organisms like shrubs, large mammals, small burrowing mammals, birds (duck), arthropods (earth worm), grasses, and herbs. The dose rates and risk quotients to these organisms are computed using conservative values for activity concentrations of natural radionuclides reported in Bitsichi and Bukuru mining areas. The results suggest that grasses, herbs, lichens, bryophytes and shrubs receive total dose rates that are of potential concern. The effects of dose rates to specific indicator species of interest are highlighted and discussed. We conclude that further investigation and proper regulations should be set in place in order to reduce the risk posed by the tin mining activity on biota. This paper also presents a brief overview of the impact of mineral mining on biota based on documented literature for other countries.

  16. Analysis of post-blasting source mechanisms of mining-induced seismic events in Rudna copper mine, Poland

    Caputa Alicja


    Full Text Available The exploitation of georesources by underground mining can be responsible for seismic activity in areas considered aseismic. Since strong seismic events are connected with rockburst hazard, it is a continuous requirement to reduce seismic risk. One of the most effective methods to do so is blasting in potentially hazardous mining panels. In this way, small to moderate tremors are provoked and stress accumulation is substantially reduced. In this paper we present an analysis of post-blasting events using Full Moment Tensor (MT inversion at the Rudna mine, Poland, underground seismic network. In addition, we describe the problems we faced when analyzing seismic signals. Our studies show that focal mechanisms for events that occurred after blasts exhibit common features in the MT solution. The strong isotropic and small Double Couple (DC component of the MT, indicate that these events were provoked by detonations. On the other hand, post-blasting MT is considerably different than the MT obtained for strong mining events. We believe that seismological analysis of provoked and unprovoked events can be a very useful tool in confirming the effectiveness of blasting in seismic hazard reduction in mining areas.

  17. Analysis of post-blasting source mechanisms of mining-induced seismic events in Rudna copper mine, Poland.

    Caputa, Alicja; Rudzinski, Lukasz; Talaga, Adam


    Copper ore exploitation in the Lower Silesian Copper District, Poland (LSCD), is connected with many specific hazards. The most hazardous one is induced seismicity and rockbursts which follow strong mining seismic events. One of the most effective method to reduce seismic activity is blasting in potentially hazardous mining panels. This way, small to moderate tremors are provoked and stress accumulation is substantially reduced. This work presents an analysis of post-blasting events using Full Moment Tensor (MT) inversion at the Rudna mine, Poland using signals dataset recorded on underground seismic network. We show that focal mechanisms for events that occurred after blasts exhibit common features in the MT solution. The strong isotropic and small Double Couple (DC) component of the MT, indicate that these events were provoked by detonations. On the other hand, post-blasting MT is considerably different than the MT obtained for common strong mining events. We believe that seismological analysis of provoked and unprovoked events can be a very useful tool in confirming the effectiveness of blasting in seismic hazard reduction in mining areas.

  18. All General Solutions of Post Equations

    Dragi(c) BANKOVI(C)


    In a previous paper, we have described all reproductive general solutions of a Post equation, supposing that a general solution is known. In this paper we describe all general solutions of Post equation, supposing that a general solution of this equation is known (Theorem 6). As a special case we get the previous characterization of reproductive solutions and a similar result for Boolean equations (Theorem 9).

  19. 42 CFR 84.3 - Respirators for mine rescue or other emergency use in mines.


    ... 42 Public Health 1 2010-10-01 2010-10-01 false Respirators for mine rescue or other emergency use... DEVICES General Provisions § 84.3 Respirators for mine rescue or other emergency use in mines. (a)(1... review and issue certifications for respirators used for mine emergencies and mine rescue, including...


    彭世济; 张达贤; 习永峰; 卢明银; 孙洪泉


    The method of reliability analysis of mineral reserve estimation, mining construction, mining technological system and surface mine investment in mine design is discussed in this paper. On the basis of this method, the questions, such as "whether the planned production and predicted economic effectiveness could be obtained", can be answered, and corresponding measures can be taken.

  1. Resource Recovery from Flooded Underground Mines

    Butte, Montana has been the site of hard rock mining activities for over a century. Over 400 hundred underground mines were developed and over 10,000 miles of underground mine workings were created. During active mining, groundwater was removed from the workings by large-scale pu...

  2. Resource Recovery of Flooded Underground Mine Workings

    Butte, Montana has been the site of hard rock mining activities for over a century. Over 400 hundred underground mines were developed and over 10,000 miles of underground mine workings were created. During active mining, groundwater was removed from the workings by large-scale pu...

  3. Extensible Markup Language Data Mining System Model

    李炜; 宋瀚涛


    The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.

  4. 30 CFR 282.24 - Mining Plan.


    ... 30 Mineral Resources 2 2010-07-01 2010-07-01 false Mining Plan. 282.24 Section 282.24 Mineral... § 282.24 Mining Plan. All OCS mineral development and production activities shall be conducted in accordance with a Mining Plan submitted by the lessee and approved by the Director. A Mining Plan...

  5. 30 CFR 75.203 - Mining methods.


    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Mining methods. 75.203 Section 75.203 Mineral... SAFETY STANDARDS-UNDERGROUND COAL MINES Roof Support § 75.203 Mining methods. (a) The method of mining... faulty pillar recovery methods. Pillar dimensions shall be compatible with effective control of the...


    Mining Waste generated by active and inactive mining operations is a growing problem for the mining industry, local governments, and Native American communities because of its impact on human health and the environment. In the US, the reported volume of mine waste is immense: 2 b...

  7. Electrokinetic remediation of copper mine tailings

    Hansen, H. K.; Rojo, A.; Ottosen, L. M.


    The heavy metal contamination from mining industry has become a growing problem both in chile and worldwide. This contamination includes large areas with soil pollution, contaminated rivers and continuous generation of mining waste deposits. The solid waste that will be analysed is mine tailings, which are the residual products after the flotation process in conventional sulphide copper mining. (Author)

  8. A Collaborative Educational Association Rule Mining Tool

    Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; de Castro, Carlos


    This paper describes a collaborative educational data mining tool based on association rule mining for the ongoing improvement of e-learning courses and allowing teachers with similar course profiles to share and score the discovered information. The mining tool is oriented to be used by non-expert instructors in data mining so its internal…

  9. Collaborative Data Mining Tool for Education

    Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; Gea, Miguel; de Castro, Carlos


    This paper describes a collaborative educational data mining tool based on association rule mining for the continuous improvement of e-learning courses allowing teachers with similar course's profile sharing and scoring the discovered information. This mining tool is oriented to be used by instructors non experts in data mining such that, its…

  10. Ensemble Data Mining Methods

    Oza, Nikunj C.


    Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve better prediction accuracy than any of the individual models could on their own. The basic goal when designing an ensemble is the same as when establishing a committee of people: each member of the committee should be as competent as possible, but the members should be complementary to one another. If the members are not complementary, Le., if they always agree, then the committee is unnecessary---any one member is sufficient. If the members are complementary, then when one or a few members make an error, the probability is high that the remaining members can correct this error. Research in ensemble methods has largely revolved around designing ensembles consisting of competent yet complementary models.

  11. Data Mining SIAM Presentation

    Srivastava, Ashok; McIntosh, Dawn; Castle, Pat; Pontikakis, Manos; Diev, Vesselin; Zane-Ulman, Brett; Turkov, Eugene; Akella, Ram; Xu, Zuobing; Kumaresan, Sakthi Preethi


    This viewgraph document describes the data mining system developed at NASA Ames. Many NASA programs have large numbers (and types) of problem reports.These free text reports are written by a number of different people, thus the emphasis and wording vary considerably With so much data to sift through, analysts (subject experts) need help identifying any possible safety issues or concerns and help them confirm that they haven't missed important problems. Unsupervised clustering is the initial step to accomplish this; We think we can go much farther, specifically, identify possible recurring anomalies. Recurring anomalies may be indicators of larger systemic problems. The requirement to identify these anomalies has led to the development of Recurring Anomaly Discovery System (ReADS).

  12. Glucomannan prevents postprandial hypoglycaemia in patients with previous gastric surgery.

    Hopman, W P; Houben, P G; Speth, P A; Lamers, C B


    Glucomannan (Propol), a potent gel forming dietary fibre, was added to a carbohydrate rich breakfast in eight patients with previous gastric surgery suffering from postprandial hypoglycaemia. Addition of only 2.6 g and 5.2 g glucomannan to the meal dose dependently improved reactive hypoglycaemia from 2.3 (0.2) mmol/l to 3.3 (0.2) mmol/l (p less than 0.0005) after 2.6 g and 4.1 (0.2) mmol/l (p = 0.0005) after 5.2 g, and decreased postprandial rise in plasma insulin (p less than 0.05). Expiratory breath hydrogen excretion tended to decrease reflecting improvement of carbohydrate metabolism. Addition of glucomannan to an intraduodenal sucrose solution significantly raised plasma glucose nadirs, indicating glucomannan to be effective during the intestinal phase. It is concluded that small amounts of glucomannan may be beneficial to patients with reactive postprandial hypoglycaemia, without the disadvantage of unpalatability and carbohydrate malabsorption.

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

    Vinegar, Harold J.; de Rouffignac, Eric Pierre; Schoeling, Lanny Gene


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




    Full Text Available Data mining is the non trivial extraction of implicit, previously unknown and potentially useful information from data. Data mining technology provides a user- oriented approach to novel and hidden patterns in the data. This paper presents about the various existing techniques, the issues and challenges associated with them. The discovered knowledge can be used by the healthcare administrators to improve the quality of service and also used by the medical practitioners to reduce the number of adverse drug effect, to suggest less expensive therapeutically equivalent alternatives. In this paper we discuss the popular data mining techniques namely, Decision Trees, Naïve Bayes and Neural Network that are used for prediction of disease.

  15. Incremental Web Usage Mining Based on Active Ant Colony Clustering

    SHEN Jie; LIN Ying; CHEN Zhimin


    To alleviate the scalability problem caused by the increasing Web using and changing users' interests, this paper presents a novel Web Usage Mining algorithm-Incremental Web Usage Mining algorithm based on Active Ant Colony Clustering. Firstly, an active movement strategy about direction selection and speed, different with the positive strategy employed by other Ant Colony Clustering algorithms, is proposed to construct an Active Ant Colony Clustering algorithm, which avoid the idle and "flying over the plane" moving phenomenon, effectively improve the quality and speed of clustering on large dataset. Then a mechanism of decomposing clusters based on above methods is introduced to form new clusters when users' interests change. Empirical studies on a real Web dataset show the active ant colony clustering algorithm has better performance than the previous algorithms, and the incremental approach based on the proposed mechanism can efficiently implement incremental Web usage mining.

  16. Link mining models, algorithms, and applications

    Yu, Philip S; Faloutsos, Christos


    This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on 'flat' data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are much richer in structure, involving objects of multiple types that are related to each other. Hence, recently link mining has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysi

  17. Big Data Mining: Tools & Algorithms

    Adeel Shiraz Hashmi


    Full Text Available We are now in Big Data era, and there is a growing demand for tools which can process and analyze it. Big data analytics deals with extracting valuable information from that complex data which can’t be handled by traditional data mining tools. This paper surveys the available tools which can handle large volumes of data as well as evolving data streams. The data mining tools and algorithms which can handle big data have also been summarized, and one of the tools has been used for mining of large datasets using distributed algorithms.

  18. Sustainable Development in Estonian Mining

    Šommet, Julija


    Importance and demand of high qualified mining material (carbonate rocks, oil shale) are growing nowadays. Deposits are widespread around the world. Is it possible to create the sustainability paradigm, that helps to manage quarries adequately to improve overall effectiveness of the company in total? This study focuses especially on the mining industry. This paper will introduce modern systems and a new one, that allows to make an indexation of the company by mining sustainability index and gradation of the company by its wellness; also brings several benefits for future sustainable development.

  19. Mining and Reclamation Technology Symposium

    None Available


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

  20. Third symposium on underground mining



    The Third Symposium on Underground Mining was held at the Kentucky Fair and Exposition Center, Louisville, KY, October 18--20, 1977. Thirty-one papers have been entered individually into EDB and ERA. The topics covered include mining system (longwall, shortwall, room and pillar, etc.), mining equipment (continuous miners, longwall equipment, supports, roof bolters, shaft excavation equipment, monitoring and control systems. Maintenance and rebuilding facilities, lighting systems, etc.), ventilation, noise abatement, economics, accidents (cost), dust control and on-line computer systems. (LTN)

  1. Mining Industry Energy Bandwidth Study



    The Industrial Technologies Program (ITP) relies on analytical studies to identify large energy reduction opportunities in energy-intensive industries and uses these results to guide its R&D portfolio. The energy bandwidth illustrates the total energy-saving opportunity that exists in the industry if the current processes are improved by implementing more energy-efficient practices and by using advanced technologies. This bandwidth analysis report was conducted to assist the ITP Mining R&D program in identifying energy-saving opportunities in coal, metals, and mineral mining. These opportunities were analyzed in key mining processes of blasting, dewatering, drilling, digging, ventilation, materials handling, crushing, grinding, and separations.

  2. Review of Hydraulic Fracturing for Preconditioning in Cave Mining

    He, Q.; Suorineni, F. T.; Oh, J.


    Hydraulic fracturing has been used in cave mining for preconditioning the orebody following its successful application in the oil and gas industries. In this paper, the state of the art of hydraulic fracturing as a preconditioning method in cave mining is presented. Procedures are provided on how to implement prescribed hydraulic fracturing by which effective preconditioning can be realized in any in situ stress condition. Preconditioning is effective in cave mining when an additional fracture set is introduced into the rock mass. Previous studies on cave mining hydraulic fracturing focused on field applications, hydraulic fracture growth measurement and the interaction between hydraulic fractures and natural fractures. The review in this paper reveals that the orientation of the current cave mining hydraulic fractures is dictated by and is perpendicular to the minimum in situ stress orientation. In some geotechnical conditions, these orientation-uncontrollable hydraulic fractures have limited preconditioning efficiency because they do not necessarily result in reduced fragmentation sizes and a blocky orebody through the introduction of an additional fracture set. This implies that if the minimum in situ stress orientation is vertical and favors the creation of horizontal hydraulic fractures, in a rock mass that is already dominated by horizontal joints, no additional fracture set is added to that rock mass to increase its blockiness to enable it cave. Therefore, two approaches that have the potential to create orientation-controllable hydraulic fractures in cave mining with the potential to introduce additional fracture set as desired are proposed to fill this gap. These approaches take advantage of directional hydraulic fracturing and the stress shadow effect, which can re-orientate the hydraulic fracture propagation trajectory against its theoretical predicted direction. Proppants are suggested to be introduced into the cave mining industry to enhance the

  3. Numerical modelling approach for mine backfill



    Numerical modelling is broadly used for assessing complex scenarios in underground mines, including mining sequence and blast-induced vibrations from production blasting. Sublevel stoping mining methods with delayed backfill are extensively used to exploit steeply dipping ore bodies by Canadian hard-rockmetal mines. Mine backfill is an important constituent of mining process. Numerical modelling of mine backfill material needs special attention as the numerical model must behave realistically and in accordance with the site conditions. This paper discusses a numerical modelling strategy for modelling mine backfill material. Themodelling strategy is studied using a case study mine from Canadian mining industry. In the end, results of numerical model parametric study are shown and discussed.

  4. Airships, hoverbarges offer remote mine transit

    Tollinsky, Norm


    For mine transportation in Ontario's swampy James Bay Lowlands, there are two innovative solutions which are greener and less disruptive to fragile natural habitats. The first solution is to use the HAV366 airship whose payload is 50 tons. A 200-tonne version could take until 2017 to be available. The top speed of an HAV366 is 130 kilometers per hour. It operates on a point to point basis and requires no airport, runway or any special infrastructure at either end. So it is potentially excellent transportation solution for, the Canadian Arctic or wherever transportation infrastructure does not exist. Yet another transportation solution is the hoverbarge, which is designed to travel over ice, snow and flat swampy terrain via a cushion of air. The payload of a hoverbarge can be up to 2,500 tons. One of the advantages of a hoverbarge is that it can take a shorter, direct route to a project site and isn't restricted to a specific route dictated by the topographical requirements of ice road construction.

  5. Multipolar Solutions

    Quevedo, Hernando


    A class of exact solutions of the Einstein-Maxwell equations is presented which contains infinite sets of gravitoelectric, gravitomagnetic and electromagnetic multipole moments. The multipolar structure of the solutions indicates that they can be used to describe the exterior gravitational field of an arbitrarily rotating mass distribution endowed with an electromagnetic field. The presence of gravitational multipoles completely changes the structure of the spacetime because of the appearance of naked singularities in a confined spatial region. The possibility of covering this region with interior solutions is analyzed in the case of a particular solution with quadrupole moment.

  6. Using airborne thermal infrared imagery and helicopter EM conductivity to locate mine pools and discharges in the Kettle Creek watershed, north-central Pennsylvania

    Love, E. (Shaw Environmental, Monroeville, PA); Hammack, R.W.; Harbert, W.P. (Univ. of Pittsburgh); Sams, J.I.; Veloski, G.A.; Ackman, T.E.


    The Kettle Creek watershed contains 50–100-year-old surface and underground coal mines that are a continuing source of acid mine drainage (AMD). To characterize the mining-altered hydrology of this watershed, an airborne reconnaissance was conducted in 2002 using airborne thermal infrared imagery (TIR) and helicopter-mounted electromagnetic (HEM) surveys. TIR uses the temperature differential between surface water and groundwater to locate areas where groundwater emerges at the surface. TIR anomalies located in the survey included seeps and springs, as well as mine discharges. In a follow-up ground investigation, hand-held GPS units were used to locate 103 of the TIR anomalies. Of the sites investigated, 26 correlated with known mine discharges, whereas 27 were previously unknown. Seven known mine discharges previously obscured from TIR imagery were documented. HEM surveys were used to delineate the groundwater table and also to locate mine pools, mine discharges, and groundwater recharge zones. These surveys located 12 source regions and flow paths for acidic, metal-containing (conductive) mine drainage; areas containing acid-generating mine spoil; and areas of groundwater recharge and discharge, as well as identifying potential mine discharges previously obscured from TIR imagery by nondeciduous vegetation. Follow-up ground-based electromagnetic surveys verified the results of the HEM survey. Our study suggests that airborne reconnaissance can make the remediation of large watersheds more efficient by focusing expensive ground surveys on small target areas.

  7. Web Mining%Web 数学挖掘

    王实; 高文; 李锦涛


    Web Mining is an important branch in Data Mining.It attracts more research interest for rapidly developing Internet. Web Mining includes:(1)Web Content Mining;(g)Web Usage Mining;(3) Web structure Mining.In this paper we define Web Mining and present an overview of the various research issues,techniques and development efforts.

  8. 30 CFR 49.20 - Requirements for all coal mines.


    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Requirements for all coal mines. 49.20 Section... TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.20 Requirements for all coal mines. (a) The operator of each underground coal mine shall make available two certified mine...

  9. Influence of the Haizhou Open Pit Coal Mine on the atmospheric flow over Fuxin,China

    CHEN He; YANG Zhi-feng; WANG Xuan


    The influence of the Haizhou Open Pit Mine on the atmospheric flow in nearby Fuxin City in China was analyzed with the aid of the steady-state Navier-Stokes equations. The finite element method was used to obtain numerical solutions to these equations. The results showed that the Haizhou Open Pit Coal Mine contributes to the turbulent flow in the Fuxin City and its surroundings. However, when compared with the climatic effects, the open pit mine has a relatively small impact on the atmospheric flow over Fuxin.

  10. Neuronet Modelling of the Processes of Budgeting and Use of Labour Resources at Coal Mining Enterprises

    Hlіnska Olha M.


    Full Text Available The article considers issues of efficient budgeting and use of labour resources at coal mining enterprises. It proves expediency of use of modern neuronet, namely, multilayer perceptron, for solution of tasks of modelling the process of budgeting and use of labour resources at coal mining enterprises. It shows that Statistika is the best software package for creation of neuronets of the multilayer perceptron architecture. On the basis of analysis and comparative characteristic the article selects the topology and builds a neuronet model of budgeting and use of labour resources at coal mining enterprises.

  11. Vlsi implementation of flexible architecture for decision tree classification in data mining

    Sharma, K. Venkatesh; Shewandagn, Behailu; Bhukya, Shankar Nayak


    The Data mining algorithms have become vital to researchers in science, engineering, medicine, business, search and security domains. In recent years, there has been a terrific raise in the size of the data being collected and analyzed. Classification is the main difficulty faced in data mining. In a number of the solutions developed for this problem, most accepted one is Decision Tree Classification (DTC) that gives high precision while handling very large amount of data. This paper presents VLSI implementation of flexible architecture for Decision Tree classification in data mining using c4.5 algorithm.

  12. Information and communication technology and climate change adaptation: Evidence from selected mining companies in South Africa

    Bartholomew I. Aleke; Godwell Nhamo


    The mining sector is a significant contributor to the gross domestic product of many global economies. Given the increasing trends in climate-induced disasters and the growing desire to find lasting solutions, information and communication technology (ICT) has been introduced into the climate change adaptation mix. Climate change-induced extreme weather events such as flooding, drought, excessive fog, and cyclones have compounded the environmental challenges faced by the mining sector. T...

  13. Mechanics of granular-frictional-visco-plastic fluids in civil and mining engineering

    Alehossein, H.; Qin, Z.


    The shear stress generated in mine backfill slurries and fresh concrete contains both velocity gradient dependent and frictional terms, categorised as frictional viscous plastic fluids. This paper discusses application of the developed analytical solution for flow rate as a function of pressure and pressure gradient in discs, pipes and cones for such frictional Bingham-Herschel-Bulkley fluids. This paper discusses application of this continuum fluid model to industrial materials like mine and mineral slurries, backfills and fresh concrete tests.

  14. Second international symposium rapid mine development. Proceedings

    Martens, P.N. (ed.)


    'Rapid Mine Development', synonymous for increase in efficiency of mine development and infrastructure, is today a prerequisite for high performance operations. The presentations printed in this volume were held on June 7th and 8th 2006 on occasion of the second International Symposium 'Rapid Mine Development' at the Institute of Mining Engineering I at the RWTH Aachen University. 38 international papers demonstrate different aspects and innovations for more efficient mine development including infrastructure. (orig.)

  15. Discussion research of digital construction of mine

    JIN Zhuo; ZHANG Zi-bin


    Analyzed and compared with some digitizeed mine build state first. Secondly analyzed opportunity and challenge that the Chinese mine faces, and pointed out certainty and necessity of building digitization of mine, Summarized the present task that charac-teristic, DM, MGIS of the digital mine develop and construct and employ finally, and carry on the summary to structure and function of the component mine integrated information system.

  16. Discussion research of digital construction of mine

    JIN Zhuo; ZHANG Zi-bin


    Analyzed and compared with some digitizeed mine build state first.Secondly analyzed opportunity and challenge that the Chinese mine faces,and pointed out certainty and necessity of building digitization of mine,Summarized the present task that characteristic,DM,MGIS of the digital mine develop and construct and employ finally,and carry on the summary to structure and function of the component mine integrated information system.

  17. Data mining theories, algorithms, and examples

    Ye, Nong


    AN OVERVIEW OF DATA MINING METHODOLOGIESIntroduction to data mining methodologiesMETHODOLOGIES FOR MINING CLASSIFICATION AND PREDICTION PATTERNSRegression modelsBayes classifiersDecision treesMulti-layer feedforward artificial neural networksSupport vector machinesSupervised clusteringMETHODOLOGIES FOR MINING CLUSTERING AND ASSOCIATION PATTERNSHierarchical clusteringPartitional clusteringSelf-organized mapProbability distribution estimationAssociation rulesBayesian networksMETHODOLOGIES FOR MINING DATA REDUCTION PATTERNSPrincipal components analysisMulti-dimensional scalingLatent variable anal

  18. Evaluation of Security of Mine Ventilation Systems

    何书建; 彭担任; 翟成


    A mine ventilation system has a deterministic function for the safety of coal production and for the control of mine accidents. So, it has an importa nt meaning to evaluate the security of a mine ventilation system. This paper studied the evaluation index system of the security of a mine ventilation system, and the security of a mine ventilation system was described quantitatively in the saf ety degree. Finally, an example of the security evaluation was given .

  19. Constructing Projection Frequent Pattern Tree for Efficient Mining

    XiangJian-wen; HeYan-xiang; KokichiFutatsugi; KongWei-qiang


    Frequent Pattern mining plays an essential role in data mining.Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach. However, candidate set generation is still costly, especially when there exist prolific patterns and/or long patterns. In this study, we introduce a novel frequent pattern growth (FP-growth)method, which is efficient and scalable for mining both long and short frequent patterns without candidate generation. And build a new projection frequent pattern tree (PFP-tree) algorithm on this study, which not only heirs all the advantages in the FP-growth method, but also avoids it's bottleneck in database size dependence when constructing the frequent pattern tree (FP-tree). Efficiency of mining is achieved by introducing the projection technique, which avoid serial scan each frequent item in the database, the cost is mainly related to the depth of the tree, namely the number of frequent items of the longest transaction in the database, not the sum of all the frequent items in the database,which hugely shortens the time of tree-construction. Our performance study shows that the PFP-tree method is efficient and scalable for mining large databases or data warehouses, and is even about an order of magnitude faster than the FP-growth method.

  20. Constructing Projection Frequent Pattern Tree for Efficient Mining

    Xiang Jian-wen; He Yan-xiang; Kokichi Futatsugi; Kong Wei-qiang


    Frequent Pattern mining plays an essential role in data mining.Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach. However, candidate set generation is still costly, especially when there exist prolific patterns and/or long patterns.In this study, we introduce a novel frequent pattern growth (FP-growth)method, which is efficient and scalable for mining both long and short frequent patterns without candidate generation. And build a new projection frequent pat-tern tree (PFP-tree) algorithm on this study, which not only heirs all the ad-vantages in the FP-growth method, but also avoids it's bottleneck in database size dependence when constructing the frequent pattern tree (FP-tree). Effi-ciency of mining is achieved by introducing the projection technique, which avoid serial scan each frequent item in the database, the cost is mainly related to the depth of the tree, namely the number of frequent items of the longest trans-action in the database, not the sum of all the frequent items in the database,which hugely shortens the time of tree-construction. Our performance study shows that the PFP-tree method is efficient and scalable for mining large databas-es or data warehouses, and is even about an order of magnitude faster than the FP-growth method.

  1. Asturian mercury mining district (Spain) and the environment: a review.

    Ordóñez, A; Álvarez, R; Loredo, J


    Mercury is of particular concern amongst global environmental pollutants, with abundant contaminated sites worldwide, many of which are associated with mining activities. Asturias (Northwest of Spain) can be considered an Hg metallogenic province with abundant epithermal-type deposits, whose paragenetic sequences include also As-rich minerals. These mines were abandoned long before the introduction of any environmental regulations to control metal release from these sources. Consequently, the environment is globally affected, as high metal concentrations have been found in soils, waters, sediments, plants, and air. In this paper, a characterization of the environmental affection caused by Hg mining in nine Asturian mine sites is presented, with particular emphasis in Hg and As contents. Hg concentrations found in the studied milieu are similar and even higher than those reported in previous studies for other mercury mining districts (mainly Almadén and Idrija). Furthermore, the potential adverse health effects of exposure to these elements in the considered sites in this district have been assessed.

  2. Using bioavailable soil fraction to assess the bioconcentration factor of plants in phytoremediation of mine soils

    Roca, Núria; Rodríguez-Bocanegra, Javier; Bech, Jaume


    Polluted soils by heavy metals are characterized to present great concentrations of these pollutants. Ure wrote the following in 1996: "For understanding the chemistry of the heavy metals in their interaction with other soil components such as the clay minerals, organic matter and the soil solution, or to assess their mobility and retention as well as their availability to plants, the usual approach is to use selective chemical extraction". However, nowadays to assess the bioconcentration factor of plants in phytoremediation, the pseudototal or total concentration has been used. Strong mineral acids attack part of the silicate soil matrix and as consequence part of the heavy metals obtained are included in the structures of the mineral fraction. A different approach may, therefore, be more productive in the study of phytoremediation and the use of extractants, as EDTA or DTPA, can perhaps best be exploited by considering them in their role of bioconcentration factor. Moreover, EDTA and DTPA, which form strong complexes with many metals, can extract also organically complex metals. Properties of the soils collected in mining areas presented great variability, as they depend on materials where soils were developed, the complex mixture of heterogeneous wastes and the mining age. In the case of Caroline Mine in Hualgayoc (Perú), the mining is relatively modern and the available fraction of heavy metals of mine soils is low. The small available fraction concentration is due partly to both a few developed soil structure and low organic matter content. The only exception was the copper, with ranging from 1.2 to 36.2 % of total soil fraction. All plant species that were investigated in previous studies have a good ability to transport potential hazardous elements from the roots to the shoots and they have the ability to accumulate more than 1000 mg•kg-1 of heavy metals in the shoots. However, the bioconcentration factor was smaller than one for all the studied plants in

  3. Proceedings of Twenty-Seventh Annual Institute on Mining Health, Safety and Research

    Bockosh, G.R. [ed.] [Pittsburgh Research Center, US Dept. of Energy (United States); Langton, J. [ed.] [Mine Safety and Health Administration, US Dept. of Labor (United States); Karmis, M. [ed.] [Virginia Polytechnic Institute and State University. Dept. of Mining and Minerals Engineering, Blacksburg (United States)


    This Proceedings contains the presentations made during the program of the Twenty-Seventh Annual Institute on Mining Health, Safety and Research held at Virginia Polytechnic Institute and State University, Blacksburg, Virginia, on August 26-28, 1996. The Twenty-Seventh Annual Institute on Mining, Health, Safety and Research was the latest in a series of conferences held at Virginia Polytechnic Institute and State University, cosponsored by the Mine Safety and Health Administration, United States Department of Labor, and the Pittsburgh Research Center, United States Department of Energy (formerly part of the Bureau of Mines, U. S. Department of Interior). The Institute provides an information forum for mine operators, managers, superintendents, safety directors, engineers, inspectors, researchers, teachers, state agency officials, and others with a responsible interest in the important field of mining health, safety and research. In particular, the Institute is designed to help mine operating personnel gain a broader knowledge and understanding of the various aspects of mining health and safety, and to present them with methods of control and solutions developed through research. Selected papers have been processed separately for inclusion in the Energy Science and Technology database.

  4. Practical graph mining with R

    Hendrix, William; Jenkins, John; Padmanabhan, Kanchana; Chakraborty, Arpan


    Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs. Hands-On Application of Graph Data Mining Each chapter in the book focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through applications using real data sets, the book demonstrates how computational techniques can help solve real-world problems. The applications covered include network intrusion detection, tumor cell diagnostics, face recognition, predictive toxicology, mining metabolic and protein-protein interaction networks, and community detection in social networks. De...

  5. Privacy Preserving Distributed Data Mining

    National Aeronautics and Space Administration — Distributed data mining from privacy-sensitive multi-party data is likely to play an important role in the next generation of integrated vehicle health monitoring...

  6. Stock Control using Data Mining

    M S Ankoshe; N G Pardeshi; J N Kale


    .... These reports are then evaluated and used to order new stock. And hence "Stock Control using Data Mining" for shopping malls gives the idea about shopping mall's daily updations,details and recoveries, also we get decision over the malls...

  7. Visual Data Mining Toolbox Project

    National Aeronautics and Space Administration — Visual Data Mining (VDM) is an Internet-based software that supports spatial and temporal analyses of multimodal NASA science data including satellite images and...

  8. Nonferrous Metal Mines - Direct Download

    U.S. Geological Survey, Department of the Interior — This map layer includes nonferrous metal mines in the United States. The data represent commodities covered by the Minerals Information Team (MIT) of the U.S....

  9. Logic Mining Using Neural Networks

    Sathasivam, Saratha


    Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by induction from sets of data. Automatic induction of knowledge from data sets, usually stored in large databases, is called data mining. Data mining methods are important in the management of complex systems. There are many technologies available to data mining practitioners, including Artificial Neural Networks, Regression, and Decision Trees. Neural networks have been successfully applied in wide range of supervised and unsupervised learning applications. Neural network methods are not commonly used for data mining tasks, because they often produce incomprehensible models, and require long training times. One way in which the collective properties of a neural network may be used to implement a computational task is by way of the concept of energy minimization. The Hopfield network is well-known example of such an approach. The Hopfield network is useful as content addressable memory or an analog computer for s...

  10. Data preprocessing in data mining

    García, Salvador; Herrera, Francisco


    Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying t...

  11. The machinations in coal mining

    Round, C.


    The book presents a view of coal mining as seen by the author over a career of more than 40 years working in several coalfields in the UK and also undertaking consultancies and visits to coal mines in several other counties. It takes the format of episodes reported by the author of events and discussions with the people involved. There are three strands running through the book. Firstly, there is the biography of a family within the mining industry in the United Kingdom. The second strand of the book reflects the progress in mechanisation within the nationalised coal industry. Thirdly, the book traces the changes in the structural organisation of the British coal industry. The book captures the social side of the mining communities.

  12. Mining and radiation protection law

    Bischof, W.


    The article deals with the hazards of ionising radiation in the mining sector for the mining employees, the neighbouring population and the environment, with regard to prospecting, mining and processing radioactive ores. Due attention must also be paid to stockpiles, radioactive waste and imports of radioactive minerals. International radiation protection laws are to be applied on the basis of Euratom, IAEA, OECP/NEA and ICRP. The national law to be applied is Basic Law, Atomic Energy Law, and the Radiation Protection Ordinance of 1976. This law includes all activities having to do with mining of radioactive minerals, transport, imports and exports and waste management. Last not least, questions concerning the supervision carried out by the state and the administration are dealt with. (HSCH).

  13. Opinion mining in Dutch Hansards

    Grijzenhout, S.; Jijkoun, V.; Marx, M.


    The question is addressed if opinion mining techniques can be successfully used to automatically retrieve political viewpoints in Dutch parliamentary publications. Two specific tasks are identified: automatically determining subjectivity in the publications and automatically determining the semantic

  14. Ferrous Metal Mines - Direct Download

    U.S. Geological Survey, Department of the Interior — This map layer includes ferrous metal mines in the United States. The data represent commodities covered by the Minerals Information Team (MIT) of the U.S....

  15. Influence of the contaminated wastes/soils on the geochemical characteristics of the Bodelhão stream waters and sediments from Panasqueira mine area, Portugal

    Abreu, Maria Manuela; Godinho, Berta; Magalhães, Maria Clara F.; Anjos, Carla; Santos, Erika


    Panasqueira is a famous Portuguese tin-tungsten mine operating more or less continuously since the end of the nineteenth century. This mine is located in the Central Iberian Zone, northwest of Castelo Branco, about 35 km from Fundão, being the greatest producer of tungsten in Europe. Panasqueira mine also produces copper and tin. The ore exploitation has caused huge local visual and chemical impact from the large waste tailings, together with water drainage from mine galleries, seepage and effluents from water plant treatment. The objective of this work was to evaluate the influence of the contaminated wastes and soils on the water and sediments characteristics of the Bodelhão stream. This stream crosses the mine area at the bottom of the main tailings, receiving sediments, seepage and drainage waters from wastes and/or soils developed on the waste materials which cover the host rocks (schists), and also from the water treatment plant. Waste materials contain different levels of hazardous chemical elements depending on their age and degree of weathering (mg/kg - As: 466-632; Cd: 2.6-4.2; Cu: 264-457; Zn: 340-456; W: 40-1310). Soils developed on old wastes (60-80 years old) are mainly silty loam, acidic (except one soil (pH 8.2) developed on waste materials covered by leakage mud from a pipe conducting effluent to a pond), with relatively high concentration of organic carbon (median 48.6 g/kg). The majority of soils are heavily contaminated in As (158-7790 mg/kg), Cd (0.6-138 mg/kg), Cu (51-4081 mg/kg), W (19-1450 mg/kg), and Zn (142-12300 mg/kg). The fraction of these elements extracted with DTPA solution, relatively to total concentration, varies from low to As (bank sediments (g/kg, As: 5.56-44.0; Cu: 1.99- >10; Zn: 1.29-14.1; S: 7.2-66.9; W: 1.04-6.32, and Cd: 11.4-138 mg/kg) when compared with the same elements in soils, indicate high dispersion of the chemical elements through waters both in solution and particulate material. Bed and river banks are

  16. Abandoned Uranium Mine (AUM) Priority Mines with Enforcement Actions, Navajo Nation, 2016, US EPA Region 9

    U.S. Environmental Protection Agency — There are 13 mines total that have enforcement actions and are classified as priority mines. USEPA and NNEPA prioritized 46 mines based on gamma radiation levels,...

  17. Abandoned Uranium Mine (AUM) Trust Mine Points, Navajo Nation, 2016, US EPA Region 9

    U.S. Environmental Protection Agency — This GIS dataset contains point features that represent mines included in the Navajo Environmental Response Trust. This mine category also includes Priority mines....

  18. 76 FR 20940 - Troy Mine, Incorporated, Troy Mine Revised Reclamation Plan, Kootenai National Forest, Lincoln...


    ... as an 8,500 ton- per-day underground copper/silver mine. The ore is mined using the ``room-and-pillar..., mine water treatment and disposal, longevity and success of copper attenuation mechanisms, disposition...

  19. Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach

    Gatis Špats


    Full Text Available In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content classification in Latvian text challenging is the limited publicly available text corpora for classifier training. We have joined several sources and created a publically available extended lexicon. Our results are comparable to or outperform current achievements in opinion mining in Latvian. Experiments show that lexicon-based methods provide more accurate opinion mining than the application of Naive Bayes machine learning classifier on Latvian tweets. Methods used during this study could be further extended using human annotators, unsupervised machine learning and bootstrapping to create larger corpora of classified text.

  20. Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015)

    Santos, Olga Cristina, Ed.; Boticario, Jesus Gonzalez, Ed.; Romero, Cristobal, Ed.; Pechenizkiy, Mykola, Ed.; Merceron, Agathe, Ed.; Mitros, Piotr, Ed.; Luna, Jose Maria, Ed.; Mihaescu, Cristian, Ed.; Moreno, Pablo, Ed.; Hershkovitz, Arnon, Ed.; Ventura, Sebastian, Ed.; Desmarais, Michel, Ed.


    The 8th International Conference on Educational Data Mining (EDM 2015) is held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain. The conference held in Madrid, Spain, July 26-29, 2015, follows the seven previous editions (London 2014, Memphis 2013, Chania 2012,…

  1. Mine Safety Detection System (MSDS)


    BLANK xiii LIST OF ACRONYMS AND ABBREVIATIONS Acronym Term ALMDS Airborne Laser -Mine Detection System AMCM Airborne Mine Countermeasure AoA...Streak Tube Imaging Laser ULCC Ultra Large Crude Carrier USN United States Navy UWIED Under Water Improvised Explosive Devices VLCC Very Large sonar, passive sonar, infra-red (IR) thermal imaging, LIDAR (Light Detection and Ranging), and the use of marine mammals ( dolphins and porpoises

  2. Web Mining and Social Networking

    Xu, Guandong; Zhang, Yanchun; Li, Lin

    This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web ...... sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis....

  3. Typesafe Modeling in Text Mining

    Steeg, Fabian


    Based on the concept of annotation-based agents, this report introduces tools and a formal notation for defining and running text mining experiments using a statically typed domain-specific language embedded in Scala. Using machine learning for classification as an example, the framework is used to develop and document text mining experiments, and to show how the concept of generic, typesafe annotation corresponds to a general information model that goes beyond text processing.

  4. Corrosion control in mining technology

    Telekesi, J.


    An overview of corrosion effects in mining technology and the importance of protection is presented. The most common corrosion processes and effects are summarized and the system and criteria of their avoidance are discussed in detail. Preventive measures are recommended to decrease possible corrosion effects including the selection of corrosion-resistive constructions, to use protective coatings and inhibition techniques and some other protection possibilities where applicable. The organization aspects and the economic impact of corrosion control in mining are discussed.

  5. Learning data mining with R

    Makhabel, Bater


    This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes.

  6. Efluent treatment with dolomite mining

    Romero Baylón, Alfonso; UNMSM; Flores Chávez, Silvana; UNMSM; Arévalo, Walter; UNMSM


    The article shows a methodology for acid water treatment, through the remediation of effluents from the mining industry, based on the use of treated dolomite, which reduces the concentrations of dissolved heavy metal ions in metallurgical and mining effluent to reducing high levels of heavy metals, which are indicators of improved water quality of industrial wastes, mainly from metallurgical processes concentrator plants. This treatment technique solves the problem of effluent generation with...

  7. Application of ERTS-A imagery to fracture related mine safety hazards in the coal mining industry

    Wier, C. E.; Wobber, F. J. (Principal Investigator)


    The author has identified the following significant results. The most important result to date is the demonstration of the special value of repetitive ERTS-1 multiband coverage for detecting previously unknown fracture lineaments despite the presence of a deep glacial overburden. The Illinois Basin is largely covered with glacial drift and few rock outcrops are present. A contribution to the geological understanding of Illinois and Indiana has been made. Analysis of ERTS-1 imagery has provided useful information to the State of Indiana concerning the surface mined lands. The contrast between healthy vegetation and bare ground as imaged by Band 7 is sharp and substantial detail can be obtained concerning the extent of disturbed lands, associated water bodies, large haul roads, and extent of mined lands revegetation. Preliminary results of analysis suggest a reasonable correlation between image-detected fractures and mine roof fall accidents for a few areas investigated. ERTS-1 applications to surface mining operations appear probable, but further investigations are required. The likelihood of applying ERTS-1 derived fracture data to improve coal mine safety in the entire Illinois Basin is suggested from studies conducted in Indiana.

  8. Study of application of ERTS-A imagery to fracture-related mine safety hazards in the coal mining industry

    Wier, C. E.; Wobber, F. J.; Russell, O. R.; Martin, K. R. (Principal Investigator)


    The author has identified the following significant results. Mined land reclamation analysis procedures developed within the Indiana portion of the Illinois Coal Basin were independently tested in Ohio utilizing 1:80,000 scale enlargements of ERTS-1 image 1029-15361-7 (dated August 21, 1972). An area in Belmont County was selected for analysis due to the extensive surface mining and the different degrees of reclamation occurring in this area. Contour mining in this area provided the opportunity to extend techniques developed for analysis of relatively flat mining areas in Indiana to areas of rolling topography in Ohio. The analysts had no previous experience in the area. Field investigations largely confirmed office analysis results although in a few areas estimates of vegetation percentages were found to be too high. In one area this error approximated 25%. These results suggest that systematic ERTS-1 analysis in combination with selective field sampling can provide reliable vegetation percentage estimates in excess of 25% accuracy with minimum equipment investment and training. The utility of ERTS-1 for practical and reasonably reliable update of mined lands information for groups with budget limitations is suggested. Many states can benefit from low cost updates using ERTS-1 imagery from public sources.

  9. Mechanism of Reinforcement on Inwall of Coal Mine Shaft Wall

    Jinlong Liu; Luwang Chen; Jili Wang


    Based on the theory of elasticity, the analytic solution of temperature stress on shaft wall of coal mine with reinforcement on inwall is deduced. It is shown that with the increment of reinforcement stress Pa, the radial compressive stress &sigmar become larger, the vertical compressive stress &sigmaz become less, while the circumferential stress &sigma &theta changed from compressive stress to tensile stress. The stability of shaft wall enhanced with vertical stress reduced by reinforcement...

  10. Inertisation of sealed coal mine panels using microbial organisms.

    Creedy, DP


    Full Text Available . A biological control solution would appear to be suited to the combination of relatively low methane emissions and favourable climatic conditions in South African bord-and-pillar workings. Various methods could be used for applying microbial... areas Worked-out bord and pillar sections in South African coal mines are usually sealed on abandonment to increase the availability of air for new working faces where high standards of ventilation are essential for both gas and dust dilution...




    Full Text Available In the current economic context of Romania and especially in the difficult situation that mining areas are faced with, University of Petroşani aims to represent a powerful center for improvement, continuous training and reconversion of the labor force in these four counties. The project "Alternative professional training using IT solutions - a solution for reconversion of the labor force in the mining industry" could represent a solution, by developing modern and innovative methods of training based on an eLearning platform containing eight courses in a multimedia format. One of the professional training programs designed for qualify postgraduate unemployed persons is the IT consultant course. For collecting information that spot the training courses needs and competences we designed a questionnaire and distributed it to a number of employers, chosen as being the most significant within the prevailingly mining mono-industrial regions. The final solution is a portal designed on a tree structure basis. The technical solution proposed for designing the portal was to use a Content Management System. We also used Info Path to design structured teaching scenario (teaching activities and Edu Integrator to create reusable learning objects, and consequently the eContent for the IT consultant course, and the eLearning platform.

  12. Mining the hydrosphere

    Petersen, Ulrich


    Rapid technological progress over the past two decades has significantly lowered the cost of water desalination and has spurred an impressive growth of this industry. About half of the desalination capacity uses seawater, the other half uses continental brackish water. Most of the desalted water is consumed for domestic and municipal purposes. However, some of it, especially that derived from brackish water, is also competitive for irrigation of high-value crops, and for some industrial purposes, particularly in water-deficient regions. In addition to fresh water, at present only halite, magnesium, and bromine are commercially obtained from seawater. These commodities plus sodium carbonate (trona), sodium sulfate, I, Li, B, and potash are also produced from natural brines. Prior attempts to obtain potash, U, Au, and other mineral commodities from seawater failed because the market value of the recovered products was too low to cover the capital and operating costs of processing plants exclusively dedicated to recover them separately. The economics are more favorable if these and/or other elements or compounds are obtained as byproducts of seawater desalination, especially when combined with cogeneration of electricity. Under these circumstances the major capital and operating costs for pumping seawater and for disposing of the reject brine are absorbed mostly by the proceeds from freshwater production. The byproducts need only to pay for the additional recovery processes. One advantage of this strategy is to reduce the environmental impact of reject brine disposal. Another is to reduce the environmental, safety, and health impacts of land-based mining. Furthermore, obtaining nonmetallic mineral commodities from seawater at a number of localities scattered over the Earth can significantly reduce their transportation costs, which is a major proportion of their cost to nations lacking these resources. This is particularly pertinent for common salt (halite), potash

  13. Spiral mining for lunar volatiles

    Schmitt, H. H.; Kulcinski, G. L.; Sviatoslavsky, I. N.; Carrier, W. D., III

    Lunar spiral mining, extending outward from a periodically mobile central power and processing station represents an alternative for comparison with more traditional mining schemes. In this concept, a mining machine would separate regolith fines and extract the contained volatiles. Volatiles then would be pumped along the miner's support arm to the central station for refining and for export or storage. The basic architecture of the central processing station would be cylindrical. A central core area could house the power subsystem of hydrogen-oxygen engines or fuel cells. Habitat sections and other crew occupied areas could be arranged around the power generation core. The outer cylinder could include all volatile refining subsystems. Solar thermal power collectors and reflectors would be positioned on top of the central station. Long term exploitation of a volatile resource region would begin with establishment of a support base at the center of a long boundary of the region. The mining tract for each spiral mining system would extend orthogonal to this boundary. New spiral mining systems would be activated along parallel tracts as demand for lunar He-3 and other solar wind volatiles increased.

  14. Mine waste disposal and managements

    Cheong, Young Wook; Min, Jeong Sik; Kwon, Kwang Soo; Kim, Ok Hwan; Kim, In Kee; Song, Won Kyong; Lee, Hyun Joo [Korea Institute of Geology Mining and Materials, Taejon (Korea)


    Acid Rock Drainage (ARD) is the product formed by the atmospheric oxidation of the relatively common pyrite and pyrrhotite. Waste rock dumps and tailings containing sulfide mineral have been reported at toxic materials producing ARD. Mining in sulphide bearing rock is one of activity which may lead to generation and release of ARD. ARD has had some major detrimental affects on mining areas. The purpose of this study was carried out to develop disposal method for preventing contamination of water and soil environment by waste rocks dump and tailings, which could discharge the acid drainage with high level of metals. Scope of this study was as following: environmental impacts by mine wastes, geochemical characteristics such as metal speciation, acid potential and paste pH of mine wastes, interpretation of occurrence of ARD underneath tailings impoundment, analysis of slope stability of tailings dam etc. The following procedures were used as part of ARD evaluation and prediction to determine the nature and quantities of soluble constituents that may be washed from mine wastes under natural precipitation: analysis of water and mine wastes, Acid-Base accounting, sequential extraction technique and measurement of lime requirement etc. In addition, computer modelling was applied for interpretation of slope stability od tailings dam. (author). 44 refs., 33 tabs., 86 figs.

  15. Telerobotic Excavator Designed to Compete in NASA's Lunabotics Mining Competition

    Nash, Rodney; Santin, Cara; Yousef, Ahmed; Nguyen, Thien; Helferty, John; Pillapakkam, Shriram


    The second annual NASA Lunabotics Mining competition is to be held in May 23-28, 2011. The goal of the competition is for teams of university level students to design, build, test and compete with a fully integrated lunar excavator on a simulated lunar surface. Our team, named Lunar Solutions I, will be representing Temple University's College of Engineering in the competition. The team's main goal was to build a robot which is able to compete with other teams, and ultimately win the competition. The main challenge of the competition was to build a wireless robot that can excavate and collect a minimum of 10 kilograms of the regolith material within 15 minutes. The robot must also be designed to operate in conditions similar to those found on the lunar surface. The design of the lunar excavator is constrained by a set of requirements determined by NASA and detailed in the competition's rulebook. The excavator must have the ability to communicate with the "main base" wirelessly, and over a Wi-Fi network. Human operators are located at a remote site approximately 60 meters away from the simulated lunar surface upon which the robot must excavate the lunar regolith surface. During the competition, the robot will operate in a separate area from the control room in an area referred to as the "Lunarena." From the control room, the operators will have to control the robot using visual feedback from cameras placed both within the arena and on the robot. Using this visual feedback the human operators control the robots movement using both keyboard and joystick commands. In order to place in the competition, a minimum of 10 kg of regolith material has to be excavated, collected, and dumped into a specific location. For that reason, the robot must be provided with an effective and powerful excavation system. Our excavator uses tracks for the drive system. After performing extensive research and trade studies, we concluded that tracks would be the most effective method for

  16. Realizatinon of “zero emission” of mining water effluents from Sasa mine

    Mirakovski, Dejan; Doneva, Nikolinka; Hadzi-Nikolova, Marija; Gocevski, Borce


    Sasa mine continuously takes actions to minimize the environmental impact of mining activities, in order to fulfill the national legislation in the field of environmental protection which comply with European legislation. This paper shows the drainage system of the horizon 830, which is performed in order to prevent free leakage of mining groundwater, as a part of these actions. This system provides a zero emission of mining water in the environment from Sasa mine. Key words: mining water...

  17. Compromise solutions in mining method selection - case study in colombian coal mining

    Jorge Iván Romero-Gélvez


    Full Text Available El propósito de este artículo es presentar un enfoque cuantitativo para la selección del método extractivo minero mediante el desarrollo metodológico de un problema de toma de decisión multicriterio discreta (DMD, este enfoque se propone para soportar el proceso de planeación y diseño minero. Seleccionar el método extractivo es uno de los problemas de Decisión Multicriterio Discreta (DMD donde los decisores han tenido problemas en la asignación de peso a cada criterio. Para resolver este problema, este artículo propone el método de la ENTROPIA. El presente escrito quiere manejar la subjetividad inherente a esta problemática mediante el uso del método VIKOR, el cual arroja como resultado una alternativa de compromiso. La metodología propuesta en este artículo se aplica en yacimiento de carbón localizado en el costado occidental del Cerro Tasajero en Norte de Santander, Colombia.




    Full Text Available Today, the notion of Semantic Web has emerged as a prominent solution to the problem of organizing the immense information provided by World Wide Web, and its focus on supporting a better co-operation between humans and machines is noteworthy. Ontology forms the major component of Semantic Web in its realization. However, manual method of ontology construction is time-consuming, costly, error-prone and inflexible to change and in addition, it requires a complete participation of knowledge engineer or domain expert. To address this issue, researchers hoped that a semi-automatic or automatic process would result in faster and better ontology construction and enrichment. Ontology learning has become recently a major area of research, whose goal is to facilitate construction of ontologies, which reduces the effort in developing ontology for a new domain. However, there are few research studies that attempt to construct ontology from semi-structured Web pages. In this paper, we present a complete framework for ontology learning that facilitates the semi-automation of constructing and enriching web site ontology from semi structured Web pages. The proposed framework employs Web Content Mining and Web Usage mining in extracting conceptual relationship from Web. The main idea behind this concept was to incorporate the web author's ideas as well as web users’ intentions in the ontology development and its evolution.

  19. Use of Data Mining in Scheduler Optimization

    Anderson, George; Nelwamondo, Fulufhelo V


    The operating system's role in a computer system is to manage the various resources. One of these resources is the Central Processing Unit. It is managed by a component of the operating system called the CPU scheduler. Schedulers are optimized for typical workloads expected to run on the platform. However, a single scheduler may not be appropriate for all workloads. That is, a scheduler may schedule a workload such that the completion time is minimized, but when another type of workload is run on the platform, scheduling and therefore completion time will not be optimal; a different scheduling algorithm, or a different set of parameters, may work better. Several approaches to solving this problem have been proposed. The objective of this survey is to summarize the approaches based on data mining, which are available in the literature. In addition to solutions that can be directly utilized for solving this problem, we are interested in data mining research in related areas that have potential for use in operat...

  20. [Comment on applications of data mining used in studies of heritage of experiences of national medical masters].

    Wu, Jia-Rui; Tang, Shi-Huan; Guo, Wei-Xian; Zhang, Xiao-Meng; Zhang, Bing


    Data mining, as known as knowledge discovery in databases, is a non-trivial process of revealing the implied, previously unknown and potentially useful information from the massive data. In recently years, the applications of data mining in the field of pharmaceutical research of traditional Chinese medicine have widespread. Especially in the field of the heritage of experiences of na-tional medical masters, data mining plays an important role. In this study, we would expound of the use of methods of data mining in the heritage of experiences of national medical masters, and analyze their advantages and disadvantages, such as association rules, Bayesian networks, neural networks, and decision trees.