WorldWideScience

Sample records for advance mining

  1. 30 CFR 75.388 - Boreholes in advance of mining.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Boreholes in advance of mining. 75.388 Section... of mining. (a) Boreholes shall be drilled in each advancing working place when the working place... cannot be examined, and before mining continues, a certified person shall, if possible, determine—...

  2. Advanced Data Mining of Leukemia Cells Micro-Arrays

    Directory of Open Access Journals (Sweden)

    Ryan M. Pierce

    2009-12-01

    Full Text Available This paper provides continuation and extensions of previous research by Segall and Pierce (2009a that discussed data mining for micro-array databases of Leukemia cells for primarily self-organized maps (SOM. As Segall and Pierce (2009a and Segall and Pierce (2009b the results of applying data mining are shown and discussed for the data categories of microarray databases of HL60, Jurkat, NB4 and U937 Leukemia cells that are also described in this article. First, a background section is provided on the work of others pertaining to the applications of data mining to micro-array databases of Leukemia cells and micro-array databases in general. As noted in predecessor article by Segall and Pierce (2009a, micro-array databases are one of the most popular functional genomics tools in use today. This research in this paper is intended to use advanced data mining technologies for better interpretations and knowledge discovery as generated by the patterns of gene expressions of HL60, Jurkat, NB4 and U937 Leukemia cells. The advanced data mining performed entailed using other data mining tools such as cubic clustering criterion, variable importance rankings, decision trees, and more detailed examinations of data mining statistics and study of other self-organized maps (SOM clustering regions of workspace as generated by SAS Enterprise Miner version 4. Conclusions and future directions of the research are also presented.

  3. Advance Mining of Temporal High Utility Itemset

    Directory of Open Access Journals (Sweden)

    Swati Soni

    2012-04-01

    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.

  4. Recent advances in environmental data mining

    Science.gov (United States)

    Leuenberger, Michael; Kanevski, Mikhail

    2016-04-01

    Due to the large amount and complexity of data available nowadays in geo- and environmental sciences, we face the need to develop and incorporate more robust and efficient methods for their analysis, modelling and visualization. An important part of these developments deals with an elaboration and application of a contemporary and coherent methodology following the process from data collection to the justification and communication of the results. Recent fundamental progress in machine learning (ML) can considerably contribute to the development of the emerging field - environmental data science. The present research highlights and investigates the different issues that can occur when dealing with environmental data mining using cutting-edge machine learning algorithms. In particular, the main attention is paid to the description of the self-consistent methodology and two efficient algorithms - Random Forest (RF, Breiman, 2001) and Extreme Learning Machines (ELM, Huang et al., 2006), which recently gained a great popularity. Despite the fact that they are based on two different concepts, i.e. decision trees vs artificial neural networks, they both propose promising results for complex, high dimensional and non-linear data modelling. In addition, the study discusses several important issues of data driven modelling, including feature selection and uncertainties. The approach considered is accompanied by simulated and real data case studies from renewable resources assessment and natural hazards tasks. In conclusion, the current challenges and future developments in statistical environmental data learning are discussed. References - Breiman, L., 2001. Random Forests. Machine Learning 45 (1), 5-32. - Huang, G.-B., Zhu, Q.-Y., Siew, C.-K., 2006. Extreme learning machine: theory and applications. Neurocomputing 70 (1-3), 489-501. - Kanevski, M., Pozdnoukhov, A., Timonin, V., 2009. Machine Learning for Spatial Environmental Data. EPFL Press; Lausanne, Switzerland, p.392

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

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-09-01

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

  6. Advanced Query and Data Mining Capabilities for MaROS

    Science.gov (United States)

    Wang, Paul; Wallick, Michael N.; Allard, Daniel A.; Gladden, Roy E.; Hy, Franklin H.

    2013-01-01

    The Mars Relay Operational Service (MaROS) comprises a number of tools to coordinate, plan, and visualize various aspects of the Mars Relay network. These levels include a Web-based user interface, a back-end "ReSTlet" built in Java, and databases that store the data as it is received from the network. As part of MaROS, the innovators have developed and implemented a feature set that operates on several levels of the software architecture. This new feature is an advanced querying capability through either the Web-based user interface, or through a back-end REST interface to access all of the data gathered from the network. This software is not meant to replace the REST interface, but to augment and expand the range of available data. The current REST interface provides specific data that is used by the MaROS Web application to display and visualize the information; however, the returned information from the REST interface has typically been pre-processed to return only a subset of the entire information within the repository, particularly only the information that is of interest to the GUI (graphical user interface). The new, advanced query and data mining capabilities allow users to retrieve the raw data and/or to perform their own data processing. The query language used to access the repository is a restricted subset of the structured query language (SQL) that can be built safely from the Web user interface, or entered as freeform SQL by a user. The results are returned in a CSV (Comma Separated Values) format for easy exporting to third party tools and applications that can be used for data mining or user-defined visualization and interpretation. This is the first time that a service is capable of providing access to all cross-project relay data from a single Web resource. Because MaROS contains the data for a variety of missions from the Mars network, which span both NASA and ESA, the software also establishes an access control list (ACL) on each data record

  7. Seismic hazard related to rate of face advance in Lubin copper ore mine

    Directory of Open Access Journals (Sweden)

    Anna Gogolewska

    2013-09-01

    Full Text Available Seismic hazard was depicted by means of seismic activity. The rate of face advance was defined as the output-energy ratio (J/kg and as the distance in meters, which the face overcomes in a given time (for example six months. Seismic activity was analyzed in relation to such the rates of face advance. The analyses were performed for two mining districts (G-7 and G-8 of Lubin copper ore mine. The period of 2008-2009 years was taken into account. In both mining districts the outputenergy ratio did not show any strict connection between the rate of face advance and seismic activity. Whilst seismic hazard increased with increasing rate of face advance defined as the distance between two sequential positions of face in most panels of the two mining districts.

  8. Using Data Mining to Explore Which Students Use Advanced Placement to Reduce Time to Degree

    Science.gov (United States)

    Eykamp, Paul W.

    2006-01-01

    This chapter explores how multiple approaches including data mining can help examine how the lengths of student enrollment are associated with varying numbers of advanced placement units. (Contains 3 tables and 5 figures.)

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

    Directory of Open Access Journals (Sweden)

    Michael Hitch

    2015-05-01

    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.

  10. Cooperation with emerging countries in advanced mining training programmes involving an industrial partner

    International Nuclear Information System (INIS)

    Full text: The Centre for Advanced Studies of Mineral Resources (CESMAT) is a Higher Education Institution in France to train and perform the upper management personnel working in mining, throughout the world. The program of study is comprised of seven separate year long study programs, a network of some 2 300 former students from a hundred countries with whom regular contact is maintained, and a permanent think tank unit that concentrates on the training of mining sector managers. The guiding principle for CESMAT is that cooperation and training hold a special position in French policy concerning relations with mineral producing countries. Seven programmes have been progressively developed on minerals prospecting and processing, resources evaluation, open cast mining techniques, mining economics, impact of mining on environment, management of closure of mining activities and the role of the State. These programmes bring together ten to twelve engineers or geologists who have already had professional experience. For non-French speakers, a language-training phase of three months may precede the programs. The following specializations are currently being offered: - Ore Prospecting and Mineral Processing - Nancy School of Geology - CESEV, - Treatment of Industrial Evolutions and Changes - CESTEMIN, - Geostatistical Analysis of Ore Deposits - Paris School of Mines - C.F.S.G., - Open Cut Mining Operations - Paris School of Mines - CESECO, - Economic Analysis of Mining Projects - Paris School of Mines - CESPROMIN, - Mine Safety and Environments - Ales School of Mines - CESSEM, - Mines Public Administration - Paris School of Mines - CESAM. Teaching is done both by Institute professors and by public and private sector industry experts. These instructors rely heavily on technical visits and on practical case studies. One specific example is the student research project mentored by specialists in the field, which is oriented directly to circumstances in the student's country

  11. Advanced measures in dust control from surface sources in mines

    OpenAIRE

    Atanasov, Simon

    2013-01-01

    The base of this master work is analyzing the existing methodologies for fugitive dust emission estimation fro mine and surface sources in mine industries and defining the most appropriate methodology for fugitive dust emission estimation from line and surface sources in Rek-Bitola, which in fact is a base for developing an appropriate methodologies for fugitive dust emission measuring fro the main dust sources. The purpose is to analyze the specifics for all fugitive emission sources aris...

  12. Design and application of solid, dense backfill advanced mining technology with two pre-driving entries

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiang; Zhang Jixiong; Guo Shuai; Gao Rui; Li Weikang

    2015-01-01

    New solid backfill mining technology provides unique technical advantages for‘three-under’ coal min-ing which refers to coal resources trapped under buildings, railways, and water bodies. This technology has a much higher recovery rate and can effectively control the surface subsidence. However, successful application of this technology depends heavily on geological conditions. To avoid the disadvantages asso-ciated with downward mining and overhead backfilling with this new technology, a new advanced solid backfill mining design with two pre-driving entries is proposed here to ensure the backfill effect. Taking Huayuan coal mine as an example, this paper tests the double gob-side entries retaining with no pillar left scheme and optimizes an integrated technology setup for backfill mining and gob-side entry retain-ing. Field applications show that the recovery rate increased from 40%for strip mining to 85%for backfill mining. Moreover, the new backfill technology allowed for better control over the surrounding rock deformation caused by the gob-side entry retaining effect and better control of ground subsidence as compared to strip mining.

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

    NARCIS (Netherlands)

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

    2016-01-01

    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

  14. Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.

    Science.gov (United States)

    Gonzalez, Graciela H; Tahsin, Tasnia; Goodale, Britton C; Greene, Anna C; Greene, Casey S

    2016-01-01

    Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic approaches for information extraction, representation and analysis. Recent advances in text and data mining have been applied to a broad spectrum of key biomedical questions in genomics, pharmacogenomics and other fields. We present an overview of the fundamental methods for text and data mining, as well as recent advances and emerging applications toward precision medicine. PMID:26420781

  15. Advances in the hydrogeochemistry and microbiology of acid mine waters

    Science.gov (United States)

    Nordstrom, D. Kirk

    2000-01-01

    The last decade has witnessed a plethora of research related to the hydrogeochemistry and microbiology of acid mine waters and associated tailings and waste-rock waters. Numerous books, reviews, technical papers, and proceedings have been published that examine the complex bio-geochemical process of sulfide mineral oxidation, develop and apply geochemical models to site characterization, and characterize the microbial ecology of these environments. This review summarizes many of these recent works, and provides references for those investigating this field. Comparisons of measured versus calculated Eh and measured versus calculated pH for water samples from several field sites demonstrate the reliability of some current geochemical models for aqueous speciation and mass balances. Geochemical models are not, however, used to predict accurately time-dependent processes but to improve our understanding of these systems and to constrain possible processes that contribute to actual or potential water quality issues. Microbiological studies are demonstrating that there is much we have yet to learn about the types of different microorganisms and their function and ecology in mine-waste environments. A broad diversity of green algae, bacteria, archaea, yeasts, and fungi are encountered in acid mine waters, and a better understanding of their ecology and function may potentially enhance remediation possibilities as well as our understanding of the evolution of life.

  16. Data Mining using Advanced Ant Colony Optimization Algorithm and Application to Bankruptcy Prediction

    OpenAIRE

    Vishal Arora; Vadlamani Ravi

    2013-01-01

    Ant Colony Optimization (ACO) is gaining popularity as data mining technique in the domain of Swarm Intelligence for its simple, accurate and comprehensive nature of classification. In this paper the authors propose a novel advanced version of the original ant colony based miner (Ant-Miner) in order to extract classification rules from data. They call this Advanced ACO-Miner (ADACOM). The main goal of ADACOM is to explore the flexibility of using a different knowledge extraction heuristic app...

  17. NEW TECHNOLOGY OF ROADSIDE ENTRY SUPPORT IN ADVANCING-MINING BY PUMPING HIGHWATER-CONTENT FAST SETTING-SOLIDIFYING MATERIALS

    Institute of Scientific and Technical Information of China (English)

    黄玉诚; 孙恒虎

    1995-01-01

    Roadside entry supporting technology by pumping high water-content fast setting-solidifying materials in advancing-mining was industrially tested in Yangzhuang Coal Mine, Huaibei Coal Mining Administration. Roadside packing parameters were determined according to the properties of high water-content fast setting-solidifying materials, as well as geological and mining conditions. A new roadside packing technological system was designed to use pumping-delivery method to transport the materials. With respect to the special conditions in the advahcing mining system, effective temporary support systema were designed and tried. The technical and economic benefits from this new industrial experiment were carefully analyzed and evaluated.

  18. Advances in research methods for information systems research data mining, data envelopment analysis, value focused thinking

    CERN Document Server

    Osei-Bryson, Kweku-Muata

    2013-01-01

    Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore

  19. USE OF DATA MINING TECHNIQUES IN ADVANCE DECISION MAKING PROCESSES IN A LOCAL FIRM

    Directory of Open Access Journals (Sweden)

    Onur Doğan

    2015-12-01

    Full Text Available In today’s competitive world, organizations need to make the right decisions to prolong their existence. Using non-scientific methods and making emotional decisions gave way to the use of scientific methods in the decision making process in this competitive area. Within this scope, many decision support models are still being developed in order to assist the decision makers and owners of organizations. It is easy to collect massive amount of data for organizations, but generally the problem is using this data to achieve economic advances. There is a critical need for specialization and automation to transform the data into the knowledge in big data sets. Data mining techniques are capable of providing description, estimation, prediction, classification, clustering, and association. Recently, many data mining techniques have been developed in order to find hidden patterns and relations in big data sets. It is important to obtain new correlations, patterns, and trends, which are understandable and useful to the decision makers. There have been many researches and applications focusing on different data mining techniques and methodologies.In this study, we aim to obtain understandable and applicable results from a large volume of record set that belong to a firm, which is active in the meat processing industry, by using data mining techniques. In the application part, firstly, data cleaning and data integration, which are the first steps of data mining process, are performed on the data in the database. With the aid of data cleaning and data integration, the data set was obtained, which is suitable for data mining. Then, various association rule algorithms were applied to this data set. This analysis revealed that finding unexplored patterns in the set of data would be beneficial for the decision makers of the firm. Finally, many association rules are obtained, which are useful for decision makers of the local firm. 

  20. Mining

    Directory of Open Access Journals (Sweden)

    Khairullah Khan

    2014-09-01

    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.

  1. Alarm Reduction Processing of Advanced Nuclear Power Plant Using Data Mining and Active Database Technologies

    International Nuclear Information System (INIS)

    The purpose of the Advanced Alarm Processing (AAP) is to extract only the most important and the most relevant data out of large amount of available information. It should be noted that the integrity of the knowledge base is the most critical in developing a reliable AAP. This paper proposes a new approach to an AAP by using Event-Condition-Action(ECA) rules that can be automatically triggered by an active database. Also this paper proposed a knowledge acquisition method using data mining techniques to obtain the integrity of the alarm knowledge

  2. Advances in Intelligent Signal Processing and Data Mining Theory and Applications

    CERN Document Server

    Mihaylova, Lyudmila; Jain, Lakhmi

    2013-01-01

    The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.   The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.  

  3. Recent advances in genome mining of secondary metabolites in Aspergillus terreus

    Directory of Open Access Journals (Sweden)

    Clay Chia Chun Wang

    2014-12-01

    Full Text Available Filamentous fungi are rich resources of secondary metabolites (SMs with a variety of interesting biological activities. Recent advances in genome sequencing and techniques in genetic manipulation have enabled researchers to study the biosynthetic genes of these SMs. Aspergillus terreus is the well-known producer of lovastatin, a cholesterol-lowering drug. This fungus also produces other SMs, including acetylaranotin, butyrolactones and territram, with interesting bioactivities. This review will cover recent progress in genome mining of SMs identified in this fungus. The identification and characterization of the gene cluster for these SMs, as well as the proposed biosynthetic pathways, will be discussed in depth.

  4. Privacy for Semantic Web Mining using Advanced DSA – Spatial LBS Case Study

    Directory of Open Access Journals (Sweden)

    Dr.D.Sravan Kumar,

    2010-05-01

    Full Text Available The Web Services paradigm promises to enable rich flexible and dynamic interoperation of highly distributed, heterogeneous network enabled services. The idea of Web Services Mining that it makes use of the findings in the field of data mining and applies them to the world of Web Services. The emerging concept of Semantic Web Services aims at more sophisticated Web Services technologies: on basis of Semantic Description Frameworks, Intelligent mechanisms are envisioned for Discovery, Composition, and contracting of Web Services. The aim of semantic web is not only to support to access information on the web but also to support its usage. Geospatial Semantic Web is an augmentation to the Semantic Web that adds geospatial abstractions, as well as related reasoning, representation and query mechanisms. Web Service Security represents a key requirement for today’s distributed interconnected digital world and for the new generations, Web 2.0 and Semantic Web. To date, the problem of security has been investigated very much in the context of standardization efforts; Personal judgments are made usually based on the sensitivity of the information and the reputation of the party towhich the information is to be disclosed. On the privacy front,this means that privacy invasion would net more quality and sensitive personal information. In this paper, we had implemented a case study on integrated privacy issues of Spatial Semantic Web Services Mining. Initially we improved privacy of Geospatial Semantic Layer. Finally, we implemented a Location Based System and improved its digital signature capability, using advanced Digital Signature standards.

  5. Modeling of a V-type mining support in an advanced engineering environment

    Science.gov (United States)

    Gwiazda, A.; Banas, W.; Foit, K.; Topolska, S.; Monica, Z.; S^kala, A.

    2016-08-01

    Designing technical means using advanced computer systems requires the change in approaches to specific tasks carried out in this process. The solution of this problem is an integrative approach, which allows linking different operating ranges, various tools and complicated sets of requirements into a single operating design system. The elements of this integrative approach is the concept of splitting a technical mean system into three sub-system components. The first is structural sub-system containing solutions and their attributes regarding the structural concept of a designed system. The second is drive sub-system containing solutions of drive systems along with the parameters of their operation. Finally the last sub-system contains information relating to the control system and its settings. Systems attributes include such design features as the geometrical characteristics, material characteristics and assembly characteristics. The subject of the integrated design process is a mechanized mining support. As a part of the project the construction system of a mechanized mining support was divided on the three sub-systems. The structural subsystem includes a canopy, a burst shield and foot parts. Whereas the drive sub-system comprises includes the system of hydraulic props and hydraulic cylinders responsible for the functioning of the support. In the example, presented in the paper, is shown the system of hydraulic props where they are arranged in a V-system. These indicated two sub-systems form the structure of the support. It is complemented by the control sub-system basing on the use of control valves and separator valves and an operator control panel.

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

    Energy Technology Data Exchange (ETDEWEB)

    none

    1998-09-30

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

  7. Advanced technology trends in development of land-mine detection systems

    International Nuclear Information System (INIS)

    While the United Nations (UN) agencies work to restrict the manufacture, sale, and use of land-mines worldwide, a massive clean-up effort is needed to find and destroy the estimated 100 million land-mines still buried around the world. Land-mines left behind from wars worldwide are one of the past century's main unsolved problems of wars and remain the focus of humanitarian land-mine detection and removal primarily in Europe, Africa, Asia and Central and South America. For example, approximately 1 million anti-personnel mines and other various kinds which have been buried in the 249.4 km (155 miles) demilitarized zone(DMZ) of the Korean peninsular should be completely removed in historical process of the peaceful unification between South and North Korea. In this regard, the current trends of technologies linked to land-mine detection systems are surveyed. (author)

  8. Recent advances in remote coal mining machine sensing, guidance, and teleoperation

    Energy Technology Data Exchange (ETDEWEB)

    Ralston, J.C.; Hainsworth, D.W.; Reid, D.C.; Anderson, D.L.; McPhee, R.J. [CSIRO Exploration & Minerals, Kenmore, Qld. (Australia)

    2001-10-01

    Some recent applications of sensing, guidance and telerobotic technology in the coal mining industry are presented. Of special interest is the development of semi or fully autonomous systems to provide remote guidance and communications for coal mining equipment. The use of radar and inertial based sensors are considered in an attempt to solve the horizontal and lateral guidance problems associated with mining equipment automation. Also described is a novel teleoperated robot vehicle with unique communications capabilities, called the Numbat, which is used in underground mine safety and reconnaissance missions.

  9. Study on the characteristics of ground pressure behaviors in working face with great mining height at different advance speeds by similarity model experiment

    Institute of Scientific and Technical Information of China (English)

    HUA Xin-zhu; ZHANG Jin-long; XIE Guang-xiang

    2007-01-01

    Presently most of research results on strata behaviors were concluded under the normaI(moderate)advance rate conditions.Comparing with normal advance rate.fast advance rate and slow advance rate may cause some new changes of strata behaviors.The characteristics of ground pressure behaviors in working face with great mining height at different forward speeds were studied by similarity modeI experiment in laboratory.Its conclusion provides a theoretic basis for ground pressure controlling.

  10. Advanced Data Mining and Deployment for Integrated Vehicle Health Management and the Space Vehicle Lifecycle Project

    Data.gov (United States)

    National Aeronautics and Space Administration — In a successful Phase 1 project for NASA SBIR topic A1.05, "Data Mining for Integrated Vehicle Health Management," Michigan Aerospace Corporation (MAC) demonstrated...

  11. Advanced Text Mining Methods for the Financial Markets and Forecasting of Intraday Volatility

    OpenAIRE

    Pieper, Michael J.

    2011-01-01

    The flow of information in financial markets is covered in two parts. An high-order estimator of intraday volatility is introduced in order to boost risk forecasts. Over the last decade, text mining of news and its application to finance were a vibrant topic of research as well as in the finance industry. This thesis develops a coherent approach to financial text mining that can be utilized for automated trading.

  12. Sensing for advancing mining automation capability:A review of underground automation technology development

    Institute of Scientific and Technical Information of China (English)

    Ralston Jonathon; Reid David; Hargrave Chad; Hainsworth David

    2014-01-01

    This paper highlights the role of automation technologies for improving the safety, productivity, and environmental sustainability of underground coal mining processes. This is accomplished by reviewing the impact that the introduction of automation technology has made through the longwall shearer auto-mation research program of Longwall Automation Steering Committee (LASC). This result has been achieved through close integration of sensing, processing, and control technologies into the longwall mining process. Key to the success of the automation solution has been the development of new sensing methods to accurately measure the location of longwall equipment and the spatial configuration of coal seam geology. The relevance of system interoperability and open communications standards for facilitat-ing effective automation is also discussed. Importantly, the insights gained through the longwall automa-tion development process are now leading to new technology transfer activity to benefit other underground mining processes.

  13. Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

    OpenAIRE

    Maria Przyłucka; Gerardo Herrera; Marek Graniczny; Davide Colombo; Marta Béjar-Pizarro

    2015-01-01

    In this work, the analysis of TerraSAR-X satellite images combining both conventional and advanced Differential Synthetic Aperture Radar Interferometry (DInSAR) approaches has proven to be effective to detect and monitor fast evolving mining subsidence on urban areas in the Upper Silesian Coal Basin (Poland). This region accounts for almost three million inhabitants where mining subsidence has produced severe damage to urban structures and infrastructures in recent years. Conventional DInSAR ...

  14. Numerical modelling of the groundwater inflow to an advancing open pit mine: Kolahdarvazeh pit, Central Iran.

    Science.gov (United States)

    Bahrami, Saeed; Doulati Ardejani, Faramarz; Aslani, Soheyla; Baafi, Ernest

    2014-12-01

    The groundwater inflow into a mine during its life and after ceasing operations is one of the most important concerns of the mining industry. This paper presents a hydrogeological assessment of the Irankuh Zn-Pb mine at 20 km south of Esfahan and 1 km northeast of Abnil in west-Central Iran. During mine excavation, the upper impervious bed of a confined aquifer was broken and water at high-pressure flowed into an open pit mine associated with the Kolahdarvazeh deposit. The inflow rates were 6.7 and 1.4 m(3)/s at the maximum and minimum quantities, respectively. Permeability, storage coefficient, thickness and initial head of the fully saturated confined aquifer were 3.5 × 10(-4) m/s, 0.2, 30 m and 60 m, respectively. The hydraulic heads as a function of time were monitored at four observation wells in the vicinity of the pit over 19 weeks and at an observation well near a test well over 21 h. In addition, by measuring the rate of pumping out from the pit sump, at a constant head (usually equal to height of the pit floor), the real inflow rates to the pit were monitored. The main innovations of this work were to make comparison between numerical modelling using a finite element software called SEEP/W and actual data related to inflow and extend the applicability of the numerical model. This model was further used to estimate the hydraulic heads at the observation wells around the pit over 19 weeks during mining operations. Data from a pump-out test and observation wells were used for model calibration and verification. In order to evaluate the model efficiency, the modelling results of inflow quantity and hydraulic heads were compared to those from analytical solutions, as well as the field data. The mean percent error in relation to field data for the inflow quantity was 0.108. It varied between 1.16 and 1.46 for hydraulic head predictions, which are much lower values than the mean percent errors resulted from the analytical solutions (from 1.8 to 5

  15. Application of Electrosorption Desalination Technology in Mine Water Advanced Treatment Project%电吸附除盐技术用于矿井水深度处理

    Institute of Scientific and Technical Information of China (English)

    宋恩民; 王峰

    2011-01-01

    A large amount of mine water is produced during coal mining, and a considerable part of the mine water can not be effectively used due to the higher cost of advanced treatment. A project case of using the electrosorption desalination technology for mine water advanced treatment is described, including the scheme selection, the process, the project implementation effect and the main technical and economic indicators. The practice shows that the technology is feasible for the mine water advanced treatment.%煤矿在开采过程中会产生大量的矿井水,其中有相当一部分矿井水由于深度处理成本高而不能有效利用.介绍了利用电吸附除盐技术对矿井水进行深度处理的工程案例,包括方案选择、工艺流程、工程实施效果及主要技术经济指标.实践表明,该技术用于矿井水深度处理是可行的.

  16. Object-Oriented Database Model For Effective Mining Of Advanced Engineering Materials Data Sets

    OpenAIRE

    Doreswamy; Manohar M G; Hemanth K S

    2012-01-01

    Materials have become a very important aspect of our daily life and the search for better and new kind of engineered materials has created some opportunities for the Information science and technology fraternity to investigate in to the world of materials. Hence this combination of materials science and Information science together is nowadays known as Materials Informatics. An Object-Oriented Database Model has been proposed for organizing advanced engineering materials datasets.

  17. Mining protein interactomes to improve their reliability and support the advancement of network medicine

    KAUST Repository

    Alanis-Lobato, Gregorio

    2015-09-23

    High-throughput detection of protein interactions has had a major impact in our understanding of the intricate molecular machinery underlying the living cell, and has permitted the construction of very large protein interactomes. The protein networks that are currently available are incomplete and a significant percentage of their interactions are false positives. Fortunately, the structural properties observed in good quality social or technological networks are also present in biological systems. This has encouraged the development of tools, to improve the reliability of protein networks and predict new interactions based merely on the topological characteristics of their components. Since diseases are rarely caused by the malfunction of a single protein, having a more complete and reliable interactome is crucial in order to identify groups of inter-related proteins involved in disease etiology. These system components can then be targeted with minimal collateral damage. In this article, an important number of network mining tools is reviewed, together with resources from which reliable protein interactomes can be constructed. In addition to the review, a few representative examples of how molecular and clinical data can be integrated to deepen our understanding of pathogenesis are discussed.

  18. Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland

    Directory of Open Access Journals (Sweden)

    Maria Przyłucka

    2015-04-01

    Full Text Available In this work, the analysis of TerraSAR-X satellite images combining both conventional and advanced Differential Synthetic Aperture Radar Interferometry (DInSAR approaches has proven to be effective to detect and monitor fast evolving mining subsidence on urban areas in the Upper Silesian Coal Basin (Poland. This region accounts for almost three million inhabitants where mining subsidence has produced severe damage to urban structures and infrastructures in recent years. Conventional DInSAR approach was used to generate 28 differential interferograms between 5 July 2011 and 21 June 2012 identifying 31 subsidence troughs that account up to 245 mm of displacement in 54 days (equivalent to 1660 mm/year. SqueeSARTM processing yielded a very dense measurement point distribution, failing to detect faster displacements than 330 mm/year, which occur within the subsidence troughs detected with conventional DInSAR. Despite this limitation, this approach was useful to delimit stable areas where mining activities are not conducted and areas affected by residual subsidence surrounding the detected subsidence troughs. These residual subsidence mining areas are located approximately 1 km away from the 31 detected subsidence troughs and account for a subsidence rate greater than 17 mm/year on average. The validation of this methodology has been performed over Bytom City were underground mining activity produced severe damages in August 2011. Conventional DInSAR permitted to successfully map subsidence troughs between July and August 2011 that coincide spatially and temporally with the evolution of underground mining excavations, as well as with the demolition of 28 buildings of Karb district. Additionally, SqueeSARTM displacement estimates were useful to delimit an area of 8.3 km2 of Bytom city that is affected by a residual mining subsidence greater than 5 mm/year and could potentially suffer damages in the midterm. The comparison between geodetic data and

  19. Mining text data

    CERN Document Server

    Aggarwal, Charu C

    2012-01-01

    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. Mining the Advanced Spectral Library (ASTRAL): Characterizing Winds of Evolved M-Stars

    Science.gov (United States)

    Nielsen, Krister E.; Carpenter, K. G.; Kober, G. V.; Cheng, K.; Ayres, T. R.; Harper, G.

    2013-01-01

    The HST/STIS treasury program Advanced Spectral Library (ASTRAL) enables investigations of the character and dynamics of the wind and chromosphere of cool stars, using high quality spectral data. This paper present the analysis of the outflowing winds of the M3.4 giant Gamma Cru and the M2Iab supergiant Alpha Ori. The outer atmospheres of these objects show strong evidence for significant inhomogeneity in their thermal and kinematic structure, and are in general not well understood. The wind features are characterized by a strong chromospheric emission suppressed by a overlying wind absorption, for many transitions producing a double peak feature. The relative strengths and wavelength shifts between the absorption and emission components of the lines reflect the acceleration of the wind from the base of the chromosphere, as the self-absorption is due to the overlying wind absorption, whose velocity relative to the chromosphere varies with height and thus line opacity. The wind profiles are sensitive to the wind opacity, turbulence and flow velocity, and hence favorable to analyze with the Sobolev source function with Exact Integration of the transfer equation (SEI) code. This paper will show a velocity and intensity analysis of the wind profiles and modeling with the SEI code to derive an improved set of wind parameters, primarily, for Gamma Cru.

  1. Mining the Advanced Spectral Library (ASTRAL): Fluorescence in Evolved M-Stars

    Science.gov (United States)

    Carpenter, Kenneth G.; Nielsen, K. E.; Kober, G. V.; Cheng, K.; Ayres, T. R.; Wahlgren, G. M.; Harper, G.

    2013-01-01

    The "Advanced Spectral Library (ASTRAL) Project: Cool Stars" (PI = T. Ayres) is an HST Cycle 18 Treasury Program designed to collect a definitive set of representative, high-resolution ( 46,000 in the FUV up to ~1700 Å, 30,000 for 1700-2150 Å, and 114,000 >2150 Å) and high signal/noise (S/N>100) UV spectra of eight F-M evolved cool stars. These extremely high-quality STIS UV echelle spectra are available from the HST archive and through the University of Colorado (http://casa.colorado.edu ayres/ASTRAL/) and will enable investigations of a broad range of problems -- stellar, interstellar, and beyond -- for many years. In this paper, we use the very rich emission-line spectra of the two evolved M stars in the sample, the M3.4 giant Gamma Crucis (GaCrux) and the M2Iab supergiant Alpha Orionis (Betelgeuse), to study the fluorescence processes operating in their outer atmospheres. We summarize the pumping transitions and fluorescent line products known on the basis of previous work (e.g. Carpenter 1988 and references therein) and newly identified in our current, on-going analysis and provide some comments on their implications for the structure of the outer atmospheres of these stars.

  2. Advances in Mapping Loci Conferring Resistance to Rice Sheath Blight and Mining Rhizoctonia solani Resistant Resources

    Institute of Scientific and Technical Information of China (English)

    ZENG Yu-xiang; JI Zhi-juan; MA Liang-yong; LI Xi-ming; YANG Chang-deng

    2011-01-01

    Sheath blight (SB) caused by Rhizoctonia solani is one of the three major diseases of rice,and now has become the most severe disease causing rice yield loss in China.Breeding and use of varieties resistant to SB is crucial in controlling the disease,but the advances achieved have been limited due to the lack of highly SB-resistant rice germplasm.Genetic analysis revealed that the SB resistance in rice was a typical quantitative trait controlled by multi-genes.Although many QTLs conferring resistance to SB have been identified in recent years,most of the QTLs only showed small effects and few of them have been evaluated for utilization potential.Many R.solani-resistant resources have been found in wild rice species,microorganisms and other plant species.It is already known that the SB-resistance could be improved in transgenic rice plants by genetic transformation.This paper reviewed the genetic mapping of loci associated with resistance to rice SB,the evaluation of the potential of resistance QTLs,and the resistant resources found in various organisms besides rice.To develop SB-resistant rice varieties,it is important to develop and explore new resistant rice germplasms,fine map and evaluate resistance QTLs,and also to pay attention to various bio-resources showing resistance to R.solani.

  3. Premium Fuel Production From Mining and Timber Waste Using Advanced Separation and Pelletizing Technologies

    Energy Technology Data Exchange (ETDEWEB)

    Honaker, R. Q.; Taulbee, D.; Parekh, B. K.; Tao, D.

    2005-12-05

    The Commonwealth of Kentucky is one of the leading states in the production of both coal and timber. As a result of mining and processing coal, an estimated 3 million tons of fine coal are disposed annually to waste-slurry impoundments with an additional 500 million tons stored at a number of disposal sites around the state due to past practices. Likewise, the Kentucky timber industry discards nearly 35,000 tons of sawdust on the production site due to unfavorable economics of transporting the material to industrial boilers for use as a fuel. With an average heating value of 6,700 Btu/lb, the monetary value of the energy disposed in the form of sawdust is approximately $490,000 annually. Since the two industries are typically in close proximity, one promising avenue is to selectively recover and dewater the fine-coal particles and then briquette them with sawdust to produce a high-value fuel. The benefits are i) a premium fuel product that is low in moisture and can be handled, transported, and utilized in existing infrastructure, thereby avoiding significant additional capital investment and ii) a reduction in the amount of fine-waste material produced by the two industries that must now be disposed at a significant financial and environmental price. As such, the goal of this project was to evaluate the feasibility of producing a premium fuel with a heating value greater than 10,000 Btu/lb from waste materials generated by the coal and timber industries. Laboratory and pilot-scale testing of the briquetting process indicated that the goal was successfully achieved. Low-ash briquettes containing 5% to 10% sawdust were produced with energy values that were well in excess of 12,000 Btu/lb. A major economic hurdle associated with commercially briquetting coal is binder cost. Approximately fifty binder formulations, both with and without lime, were subjected to an extensive laboratory evaluation to assess their relative technical and economical effectiveness as binding

  4. IMPROVEMENT OF WEAR COMPONENT'S PERFORMANCE BY UTILIZING ADVANCED MATERIALS AND NEW MANUFACTURING TECHNOLOGIES: CASTCON PROCESS FOR MINING APPLICATIONS

    Energy Technology Data Exchange (ETDEWEB)

    Xiaodi Huang; Richard Gertsch

    2005-02-04

    Michigan Technological University, together with The Robbins Group, Advanced Ceramic Research, Advanced Ceramic Manufacturing, and Superior Rock Bits, evaluated a new process and a new material for producing drill bit inserts and disc cutters for the mining industry. Difficulties in the material preparation stage slowed the research initially. Prototype testing of the drill bit inserts showed that the new inserts did not perform up to the current state of the art. Due to difficulties in the prototype production of the disc cutters, the disc cutter was manufactured but not tested. Although much promising information was obtained as a result of this project, the objective of developing an effective means for producing rock drill bits and rock disc cutters that last longer, increase energy efficiency and penetration rate, and lower overall production cost was not met.

  5. Getting the jump on Mother nature: the advancing technology of applied botany will speed reclamation of mined land

    Energy Technology Data Exchange (ETDEWEB)

    1979-04-01

    By propagating native or indigenous plants in greenhouses on a speeded-up schedule, much guesswork is being taken out of revegetating mined land. Native Plants Inc., which tricks nature by reproducing the biological sequence of plants in a fraction of the natural time, offers reclaimers of disturbed land the plants they want in any quantity on very short notice. Prior to planting, seeds are treated to break their dormancy code. The plants are grown in tubepaks that promote root growth, grow both night and day, and have CO/sub 2/ injected into the air. The company reports a 97% success rate in transplanting its seedlings. Cloning and the unlocking of the germination secrets of plants have great potential for speeding the restoration of mined land. A micropropagation (or tissue culture), whereby parts of a whole plant are removed, sterilized, and grown on a specific nutrient medium are being considered. This technology affords a high degree of selectivity and rapid plant propagation and has far-reaching implications for mine operators faced with the challenges of reclaiming mined land. (DP)

  6. Implement an Advanced Soft Measurement Method of Mine Dust Concentration Based on K-RBF Neural Network

    Directory of Open Access Journals (Sweden)

    Hong Yu

    2015-04-01

    Full Text Available In view of the coal dust concentration measurement elements, the measurement pollution environment will reduce the measurement accuracy. The paper proposes a soft measurement method of mine dust concentration based on the K-RBF neural network theory. It takes the electrostatic signal as the measurement signal and extracts the short-term energy, RMS and rectification value of the electrostatic signal as the characteristic quantities of signal. And then a measurement method model has been created due to the dust concentration network study. The method shows the high speediness, little measurement error and high precision characteristic after it compared with the simulation modeling and performance evaluation of BP soft measurement method as well as the traditional optical measurement method. The method can be used to coal mine to realize real-time rapid detection of dust concentration.

  7. Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

    Science.gov (United States)

    Bahrami, Saeed; Doulati Ardejani, Faramarz; Baafi, Ernest

    2016-05-01

    In this study, hybrid models are designed to predict groundwater inflow to an advancing open pit mine and the hydraulic head (HH) in observation wells at different distances from the centre of the pit during its advance. Hybrid methods coupling artificial neural network (ANN) with genetic algorithm (GA) methods (ANN-GA), and simulated annealing (SA) methods (ANN-SA), were utilised. Ratios of depth of pit penetration in aquifer to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the HH in the observation wells to the distance of observation wells from the centre of the pit were used as inputs to the networks. To achieve the objective two hybrid models consisting of ANN-GA and ANN-SA with 4-5-3-1 arrangement were designed. In addition, by switching the last argument of the input layer with the argument of the output layer of two earlier models, two new models were developed to predict the HH in the observation wells for the period of the mining process. The accuracy and reliability of models are verified by field data, results of a numerical finite element model using SEEP/W, outputs of simple ANNs and some well-known analytical solutions. Predicted results obtained by the hybrid methods are closer to the field data compared to the outputs of analytical and simple ANN models. Results show that despite the use of fewer and simpler parameters by the hybrid models, the ANN-GA and to some extent the ANN-SA have the ability to compete with the numerical models.

  8. Implement an Advanced Soft Measurement Method of Mine Dust Concentration Based on K-RBF Neural Network

    OpenAIRE

    Hong Yu; Xuezhen Cheng; Maoyong Cao; Xiaohang Gao

    2015-01-01

    In view of the coal dust concentration measurement elements, the measurement pollution environment will reduce the measurement accuracy. The paper proposes a soft measurement method of mine dust concentration based on the K-RBF neural network theory. It takes the electrostatic signal as the measurement signal and extracts the short-term energy, RMS and rectification value of the electrostatic signal as the characteristic quantities of signal. And then a measurement method model has been creat...

  9. Applied data mining

    CERN Document Server

    Xu, Guandong

    2013-01-01

    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.

  10. Alteration zone Mapping in the Meiduk and Sar Cheshmeh Porphyry Copper Mining Districts of Iran using Advanced Land Imager (ALI Satellite Data

    Directory of Open Access Journals (Sweden)

    A. Beiranvand Pour

    2015-10-01

    Full Text Available This study evaluates the capability of Earth Observing-1 (EO1 Advanced Land Imager (ALI data for hydrothermal alteration mapping in the Meiduk and Sar Cheshmeh porphyry copper mining districts, SE Iran. Feature-oriented principal components selection, 4/2, 8/9, 5/4 band ratioing were applied to ALI data for enhancing the hydrothermally altered rocks associated with porphyry copper mineralization, lithological units and vegetation. Mixture-tuned matched-filtering (MTMF was tested to discriminate the hydrothermal alteration areas of porphyry copper mineralization from surrounding environment using the shortwave infrared bands of ALI. Results indicate that the tested methods are able to yield spectral information for identifying vegetation, iron oxide/hydroxide and clay minerals, lithological units and the discrimination of hydrothermally altered rocks from unaltered rocks using ALI data.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2005-07-01

    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.

  12. WEB MINING: A SURVEY OF CURRENT RESEARCH, TECHNIQUES, AND SOFTWARE

    OpenAIRE

    QINGYU ZHANG; RICHARD S. SEGALL

    2008-01-01

    The purpose of this paper is to provide a more current evaluation and update of web mining research and techniques available. Current advances in each of the three different types of web mining are reviewed in the categories of web content mining, web usage mining, and web structure mining. For each tabulated research work, we examine such key issues as web mining process, methods/techniques, applications, data sources, and software used. Unlike previous investigators, we divide web mining pr...

  13. Advances in life cycle assessment and emergy evaluation with case studies in gold mining and pineapple production

    Science.gov (United States)

    Ingwersen, Wesley W.

    Life cycle assessment (LCA) is an internationally standardized framework for assessing the environmental impacts of products that is rapidly evolving to improve understanding and quantification of how complex product systems depend upon and affect the environment. This dissertation contributes to that evolution through the development of new methods for measuring impacts, estimating the uncertainty of impacts, and measuring ranges of environmental performance, with a focus on product systems in non-OECD countries that have not been well characterized. The integration of a measure of total energy use, emergy, is demonstrated in an LCA of gold from the Yanacocha mine in Peru in the second chapter. A model for estimating the accuracy of emergy results is proposed in the following chapter. The fourth chapter presents a template for LCA-based quantification of the range of environmental performance for tropical agricultural products using the example of fresh pineapple production for export in Costa Rica that can be used to create product labels with environmental information. The final chapter synthesizes how each methodological contribution will together improve the science of measuring product environmental performance.

  14. Longwall mining

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-03-14

    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.

  15. Text Mining Applications and Theory

    CERN Document Server

    Berry, Michael W

    2010-01-01

    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

  16. Mining the HST "Advanced Spectral Library (ASTRAL) - Hot Stars": The High Definition UV Spectrum of the Ap Star HR 465

    Science.gov (United States)

    Carpenter, Kenneth G.; Ayres, T. R.; Nielsen, K. E.; Kober, G. V.; Wahlgren, G. M.; Adelman, S. J.; Cowley, C. R.

    2014-01-01

    The "Advanced Spectral Library (ASTRAL) Project: Hot Stars" is a Hubble Space Telescope (HST) Cycle 21 Treasury Program (GO-13346: Ayres PI). It is designed to collect a definitive set of representative, high-resolution ( 30,000-100,000), high signal/noise (S/N>100), and full UV coverage 1200 - 3000 A) spectra of 21 early-type stars, utilizing the high-performance Space Telescope Imaging Spectrograph (STIS). The targets span the range of spectral types between early-O and early-A, including both main sequence and evolved stars, fast and slow rotators, as well as chemically peculiar (CP) and magnetic objects. These extremely high-quality STIS UV echelle spectra will be available from the HST archive and, in post-processed and merged form, at http://casa.colorado.edu ayres/ASTRAL/. The UV "atlases" produced by this program will enable investigations of a broad range of problems -- stellar, interstellar, and beyond -- for many years to come. We offer a first look at one of the earliest datasets to come out of this observing program, a "high definition" UV spectrum of the Ap star HR 465, which was chosen as a prototypical example of an A-type magnetic CP star. HR 465 has a global magnetic field of ~2200 Gauss. Earlier analyses of IUE spectra show strong iron-peak element lines, along with heavy elements such as Ga and Pt, while being deficient in the abundance of some ions of low atomic number, such as carbon. We demonstrate the high quality of the ASTRAL data and present the identification of spectral lines for a number of elements. By comparison of the observed spectra with calculated spectra, we also provide estimates of element abundances, emphasizing heavy elements, and place these measurements in the context of earlier results for this and other Ap stars.

  17. Coal mining in Ramagundam

    Energy Technology Data Exchange (ETDEWEB)

    Chakraberty, S.

    1979-07-01

    The Ramagundam area in the South Godavari Coalfield is one of the most promising coal-bearing belts in India. It contains total coal reserves of about 1,132,000,000 tons in an area of approximately 150 square kilometers, and holds high potential for development into a vast industrial center. During the past four years production has doubled to 3,500,000 tons in 1978 to 1979. By 1983 to 1984, the total output per year is planned to be doubled again. Increased mechanization and the introduction of more advanced mining techniques will help to achieve this goal. In addition to the present face machinery, i.e., gathering arm loaders/shuttle cars and side dump loaders/chain conveyor combinations, the latest Voest-Alpine AM50 tunneling and roadheading machines have been commissioned for development work. Load-haul-dump machines will be introduced in the near future to ensure higher loading/transport capacities. A double-drum shearer loader with self-advancing supports is due to be commissioned shortly for faster, more efficient longwall mining to supplement conventional bord and pillar mining. In addition, a mechanized open cast mine has come on stream, and a walking dragline will soon be delivered to the mine for removing overburden. The projected annual output from this mine will be about 2,000,000 tons. (LTN)

  18. Data mining in agriculture

    CERN Document Server

    Mucherino, Antonio; Pardalos, Panos M

    2009-01-01

    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.

  19. Text Mining.

    Science.gov (United States)

    Trybula, Walter J.

    1999-01-01

    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…

  20. Spatio-Temporal Rule Mining

    DEFF Research Database (Denmark)

    Gidofalvi, Gyozo; Pedersen, Torben Bach

    2005-01-01

    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....

  1. Quantification of Operational Risk Using A Data Mining

    Science.gov (United States)

    Perera, J. Sebastian

    1999-01-01

    What is Data Mining? - Data Mining is the process of finding actionable information hidden in raw data. - Data Mining helps find hidden patterns, trends, and important relationships often buried in a sea of data - Typically, automated software tools based on advanced statistical analysis and data modeling technology can be utilized to automate the data mining process

  2. Principle of Advance Detection of Water-enriched Body with Mine Transient Electromagnetic Method and Its Application%矿井瞬变电磁法富水体超前探测原理及应用研究

    Institute of Scientific and Technical Information of China (English)

    李云波; 李好

    2013-01-01

      由于对煤矿工作面顶底板和掘进工作面前方富水构造情况不清,导致近年来煤矿井下水害频发。介绍了矿井瞬变电磁法超前探测原理、井下探测工艺、数据采集和资料处理流程,总结出富水异常体解释和划分方法。应用YCS40矿用本安型瞬变电磁观测系统对霍州煤电集团文明煤矿掘进工作面进行了超前探测研究,结果表明矿井瞬变电磁法能够比较准确地预报掘进工作面前方100 m内的富水异常体。%The unclear water-enriched structure in the roof and floor strata of the coal face and in front of the heading face led to the frequent occurrence of mine water disasters in recent years. This paper described the advance detection principle, underground detection technology,data acquisition and data processing of the mine transient electromagnetic method and summarized the explanation and classification methods of the abnormal water-enriched body. The advance detection research was carried out with YCS40 transient electromagnetic observation system in Wenming Mine of Huozhou Coal Electricity Group Co. , Ltd. ,and research results showed that the use of the mine transient electromagnetic method can more accurately predict the water-enriched anomaly in 10m range in front of the heading face.

  3. Graph mining

    OpenAIRE

    Ramon, Jan

    2013-01-01

    Graph mining is the study of how to perform data mining and machine learning on data represented with graphs. One can distinguish between, on the one hand, transactional graph mining, where a database of separate, independent graphs is considered (such as databases of molecules and databases of images), and, on the other hand, large network analysis, where a single large network is considered (such as chemical interaction networks and concept networks).

  4. The practice of mine ventilation engineering

    Institute of Scientific and Technical Information of China (English)

    Wallace Keith; Prosser Brian; Stinnette J. Daniel

    2015-01-01

    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.

  5. Mining`s global tomorrow

    Energy Technology Data Exchange (ETDEWEB)

    Hobbs, B.; Grimstone, L.; MacBeth, A.

    1995-05-01

    Consists of an edited extract of the chapter `Mining Today, Australia`s Tomorrow - Exploration and Mining Globally to 2020` from the CSIRO book. `Challenge to change: Australia in 2020`. Forecasts the state of the Australian mineral industry in 2020 covering aspects such as: exploration concepts and area selection; excavation design and engineering; developments in mining technology and equipment; environmental management; and minerals processing. Presents an optimistic view of the long-term future of the Australian mining industry. Predicts that by 2020 Australia will emerge as the leader of an Austral/Asian trading bloc incorporating India, SE Asia, Pacific islands, Australia and New Zealand.

  6. Data Mining and Marketing Intelligence

    OpenAIRE

    Alberto Saccardi

    2003-01-01

    The technological advance has made possible to create data bases designed for the marketing intelligence, with the availability of large information. Data Mining is the process of selection, research and modeling of large amounts of data aimed to find out unknown business relationships in order to achieve a business edge. The Data Mining activity has a searching approach in the data analysis: discover unknown relationships, new relationships without an 'a priori' hypotheses on the subject.

  7. Mining Industry Energy Bandwidth Study

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2007-07-01

    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.

  8. Introduction to Agent Mining Interaction and Integration

    Science.gov (United States)

    Cao, Longbing

    In recent years, more and more researchers have been involved in research on both agent technology and data mining. A clear disciplinary effort has been activated toward removing the boundary between them, that is the interaction and integration between agent technology and data mining. We refer this to agent mining as a new area. The marriage of agents and data mining is driven by challenges faced by both communities, and the need of developing more advanced intelligence, information processing and systems. This chapter presents an overall picture of agent mining from the perspective of positioning it as an emerging area. We summarize the main driving forces, complementary essence, disciplinary framework, applications, case studies, and trends and directions, as well as brief observation on agent-driven data mining, data mining-driven agents, and mutual issues in agent mining. Arguably, we draw the following conclusions: (1) agent mining emerges as a new area in the scientific family, (2) both agent technology and data mining can greatly benefit from agent mining, (3) it is very promising to result in additional advancement in intelligent information processing and systems. However, as a new open area, there are many issues waiting for research and development from theoretical, technological and practical perspectives.

  9. Implications of Emerging Data Mining

    Science.gov (United States)

    Kulathuramaiyer, Narayanan; Maurer, Hermann

    Data Mining describes a technology that discovers non-trivial hidden patterns in a large collection of data. Although this technology has a tremendous impact on our lives, the invaluable contributions of this invisible technology often go unnoticed. This paper discusses advances in data mining while focusing on the emerging data mining capability. Such data mining applications perform multidimensional mining on a wide variety of heterogeneous data sources, providing solutions to many unresolved problems. This paper also highlights the advantages and disadvantages arising from the ever-expanding scope of data mining. Data Mining augments human intelligence by equipping us with a wealth of knowledge and by empowering us to perform our daily tasks better. As the mining scope and capacity increases, users and organizations become more willing to compromise privacy. The huge data stores of the ‚master miners` allow them to gain deep insights into individual lifestyles and their social and behavioural patterns. Data integration and analysis capability of combining business and financial trends together with the ability to deterministically track market changes will drastically affect our lives.

  10. Process mining

    DEFF Research Database (Denmark)

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

    2010-01-01

    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. FROM DATA MINING TO BEHAVIOR MINING

    OpenAIRE

    ZHENGXIN CHEN

    2006-01-01

    Knowledge economy requires data mining be more goal-oriented so that more tangible results can be produced. This requirement implies that the semantics of the data should be incorporated into the mining process. Data mining is ready to deal with this challenge because recent developments in data mining have shown an increasing interest on mining of complex data (as exemplified by graph mining, text mining, etc.). By incorporating the relationships of the data along with the data itself (rathe...

  12. Social big data mining

    CERN Document Server

    Ishikawa, Hiroshi

    2015-01-01

    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.

  13. Research of Web Data Mining Based on XML%基于XML的Web数据挖掘的研究

    Institute of Scientific and Technical Information of China (English)

    刘振岩; 王万森

    2003-01-01

    The paper advances a system framework of Web data mining based on XML. This system framework inte-grates Information Retrieval with Information Extraction, and utilizes traditional data mining methods to completeWeb data mining through XML.

  14. Domain-oriented data-driven data mining:a new understanding for data mining

    Institute of Scientific and Technical Information of China (English)

    WANG Guo-yin; WANG Yan

    2008-01-01

    Recent advances in computing, communications, digital storage technologies, and high-throughput dam-acquisition technologies, make it possible to gather and store incredible volumes of data. It creates unprecedented opportunities for large-scale knowledge discovery from database. Data mining is an emerging area of computational intelligence that offers new theories, techniques, and tools for processing large volumes of data, such as data analysis, decision making, etc.There are many researchers working on designing efficient data mining techniques, methods, and algorithms. Unfortunate-ly, most data mining researchers pay much attention to technique problems for developing data mining models and methods,while little to basic issues of data mining. In this paper, we will propose a new understanding for data mining, that is, do-main-oriented data-driven data mining (3DM) model. Some data-driven data mining algorithms developed in our Lab are al-so presented to show its validity.

  15. Digital Solution to Mining Image Monitor System

    Institute of Scientific and Technical Information of China (English)

    刘越男; 孙继平; 苏辉; 那景芳

    2001-01-01

    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.

  16. Practical graph mining with R

    CERN Document Server

    Hendrix, William; Jenkins, John; Padmanabhan, Kanchana; Chakraborty, Arpan

    2014-01-01

    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...

  17. Coastal mining

    Science.gov (United States)

    Bell, Peter M.

    The Exclusive Economic Zone (EEZ) declared by President Reagan in March 1983 has met with a mixed response from those who would benefit from a guaranteed, 200-nautical-mile (370-km) protected underwater mining zone off the coasts of the United States and its possessions. On the one hand, the U.S. Department of the Interior is looking ahead and has been very successful in safeguarding important natural resources that will be needed in the coming decades. On the other hand, the mining industry is faced with a depressed metals and mining market.A report of the Exclusive Economic Zone Symposium held in November 1983 by the U.S. Geological Survey, the Mineral Management Service, and the Bureau of Mines described the mixed response as: “ … The Department of Interior … raring to go into promotion of deep-seal mining but industrial consortia being very pessimistic about the program, at least for the next 30 or so years.” (Chemical & Engineering News, February 5, 1983).

  18. Coal Mines, Active - Longwall Mining Panels

    Data.gov (United States)

    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...

  19. Data mining

    CERN Document Server

    Gorunescu, Florin

    2011-01-01

    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

  20. Mining Review

    Science.gov (United States)

    ,

    2013-01-01

    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.

  1. Advanced long-term bird banding and climate data mining in spring confirm passerine population declines for the Northeast Chinese-Russian flyway

    Science.gov (United States)

    Jiao, Shengwu; Huettmann, Falk; Guo, Yumin; Li, Xianda; Ouyang, Yanlan

    2016-09-01

    The migration of birds is fascinating for humans but it's also a serious environmental monitoring and management issue on a global level. Bird banding using mistnets has been the method of choice for decades worldwide; linking these data with climate data allows to infer on global warming and outlier events. However, good methods to achieve this effectively in time and space for many species are still missing; data for Asia are specifically sparse and often 'messy'. Here we present a data mining summary information for data from two bird banding stations (Gaofeng and Qingfeng) along the vast Northeast Chinese-Russian flyway. Bird data were collected during spring 2002-2011 with standardized techniques and then linked with related climate data in the banding as well as the wintering sites. This creates a complex data set which is based on a decade and which includes many predictors. This first-time data mining analysis with 'data cloning' and machine learning methods (boosted regression trees) shows how to extract the major signals in this unique dataset from highly correlated and interacting predictors. Our results indicate a large-scale warming trend for the flyway, with a start in 2003, and a freezing rain outlier event in 2008; the last years remained on a rather warm level. All evidence along this vast flyway supports major changes, warming trends, habitat losses and consequently strong passerine declines. Presumably human pressures are a major factor either way and we propose to address these problems immediately for betterment if meaningful conservation targets are to be met.

  2. Recent Developments in Microbiological Approaches for Securing Mine Wastes and for Recovering Metals from Mine Waters

    Directory of Open Access Journals (Sweden)

    D. Barrie Johnson

    2014-04-01

    Full Text Available Mining of metals and coals generates solid and liquid wastes that are potentially hazardous to the environment. Traditional methods to reduce the production of pollutants from mining and to treat impacted water courses are mostly physico-chemical in nature, though passive remediation of mine waters utilizes reactions that are catalysed by microorganisms. This paper reviews recent advances in biotechnologies that have been proposed both to secure reactive mine tailings and to remediate mine waters. Empirical management of tailings ponds to promote the growth of micro-algae that sustain populations of bacteria that essentially reverse the processes involved in the formation of acid mine drainage has been proposed. Elsewhere, targeted biomineralization has been demonstrated to produce solid products that allow metals present in mine waters to be recovered and recycled, rather than to be disposed of in landfill.

  3. Longwall mining “cutting cantilever beam theory” and 110 mining method in China—The third mining science innovation

    Directory of Open Access Journals (Sweden)

    Manchao He

    2015-10-01

    Full Text Available With the third innovation in science and technology worldwide, China has also experienced this marvelous progress. Concerning the longwall mining in China, the “masonry beam theory” (MBT was first proposed in the 1960s, illustrating that the transmission and equilibrium method of overburden pressure using reserved coal pillar in mined-out areas can be realized. This forms the so-called “121 mining method”, which lays a solid foundation for development of mining science and technology in China. The “transfer rock beam theory” (TRBT proposed in the 1980s gives a further understanding for the transmission path of stope overburden pressure and pressure distribution in high-stress areas. In this regard, the advanced 121 mining method was proposed with smaller coal pillar for excavation design, making significant contributions to improvement of the coal recovery rate in that era. In the 21st century, the traditional mining technologies faced great challenges and, under the theoretical developments pioneered by Profs. Minggao Qian and Zhenqi Song, the “cutting cantilever beam theory” (CCBT was proposed in 2008. After that the 110 mining method is formulated subsequently, namely one stope face, after the first mining cycle, needs one advanced gateway excavation, while the other one is automatically formed during the last mining cycle without coal pillars left in the mining area. This method can be implemented using the CCBT by incorporating the key technologies, including the directional pre-splitting roof cutting, constant resistance and large deformation (CRLD bolt/anchor supporting system with negative Poisson's ratio (NPR effect material, and remote real-time monitoring technology. The CCBT and 110 mining method will provide the theoretical and technical basis for the development of mining industry in China.

  4. Mining Method

    Energy Technology Data Exchange (ETDEWEB)

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

    1996-12-01

    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.

  5. Emergency evacuation system for mines

    Institute of Scientific and Technical Information of China (English)

    QIAN Qing-yi; BUDIMAN Jeff; SHEN Jay

    2011-01-01

    There are many potential hazards in the underground mining these include fire,explosion,inundation,roof collapse,toxic gases,chemical pollution,etc.Over past centuries,in US alone,more than 100 000 miners lost their life in different accidents.The primary safety methods used in underground mines concentrate on the monitoring of the hazardous gases,fire detection and ventilation.Using advanced instruments and monitoring techniques have significantly reduced the accidents in the modem mines.However despite the advancement of these monitoring facilities,accidents still occur in underground mining annually in the world,and many miners were killed because they were trapped and unable to escape due to blocked of exit access.Described a new development for the emergency evacuation system in underground mines and analyzed the advantages and disadvantages of the system.It is expected that the new system will greatly improve the emergency exit methods and save more lives in the future.

  6. Advances of phytomelioration on the reclamation soil in mining area%植物改良矿山废弃地的研究进展

    Institute of Scientific and Technical Information of China (English)

    陈明; 徐慧; 蔡忠萍; 蔡青云

    2014-01-01

    随着经济的快速发展,矿山的开发及利用造成了土壤的污染,破坏了生态系统的平衡,对其进行复垦是当前急需解决的问题。简要介绍了矿山废弃地的特点以及土壤基质的修复方法。着重介绍了造成二次污染几率小的绿色环保的植物改良,植物修复技术,指出其越来越受到人们的关注,利用它作为土壤改良剂是一种有前景的土壤修复技术。对国内外植物修复的种类进行了简要综述,并列出了修复的效果。提出了修复过程中应该如何提高修复效率,并对其优缺点进行了阐述,展望了其发展前景。%With the rapid economic development, the soil pollution caused by mining development and utilization destroys the balance of the ecosystem, so its reclamation becomes the first priority. The paper briefly introduces the characteristics and remedy methods of mining wasteland, highlighting the improvement of plants, that is phytoremediation, which is environmentally friendly with little chance of secondary pollution and is gaining more and more concern. It is used as a soil conditioner and is a kind of promising soil remediation technology. The types of phytoremediation and their effects are briefly reviewed at home and abroad. Measures on how to improve the efficiency of repairmen and their advantages and disadvantages are put forward, as well as the development prospect.

  7. Mining induced seismicity in the Ruhr coal mining district, Germany

    Science.gov (United States)

    Fischer, Kasper D.; Wehling-Benatelli, Sebastian; Erstling, Stefanie; Brüstle, Andrea; Wlecklik, Dennis

    2013-04-01

    In 2012 four hard coal mines (at about 1000 m depth) were operating in Germany, three of them are in the Ruhr coal mining district. The mining method used (longwall mining in combination with caving) causes induced earthquakes due to the stress redistribution in the surrounding rock. Seismic events of magnitude 1.2 and larger are generally perceived by the population and thus trigger a wide interest. The Ruhr-University of Bochum routinely monitors the seismicity and its temporal evolution and energy release since the 1980s. The current seismological network consists of 14 stations (broad-band and short-period seismometers) in the Ruhr area. Six stations are located at the Ruhr-University Bochum at distances of approximately 20-40 km to the active coal fields. The remaining 8 stations are located in the vicinity of the mines (app. 1 to 5 km from the active mining). The magnitude of completeness is 0.9 throughout the entire Ruhr coal mining district with a local magnitude of completeness of 0.7 depending on the network configuration. In general, the identified earthquakes have a horizontal location uncertainty of 3 km. The routine detection and location of the seismicity is done by classical methods, e. g. based on first arrivals, and advanced methods like array techniques or cross-correlation of waveforms of master events with recorded seismograms from selected stations. Additionally selected event clusters are studied in more detail by reprocessing sub-datasets with methods like cluster analysis or consistent phase-picking. Reassessing this unique dataset of 30 years continuous recordings with newly developed methods and modern data processing techniques can provide new insights of the nature of mining induced seismicity. This methods may also be usable in the field of geothermal energy, unconventional hydrocarbon reservoirs or underground storage of carbon dioxide which also deals with the detection and handling of large amounts of small magnitude earthquakes.

  8. Identification and characterization of in vivo metabolites of asulacrine using advanced mass spectrophotometry technique in combination with improved data mining strategy.

    Science.gov (United States)

    Afzal, Attia; Zhong, Yunxi; Sarfraz, Muhammad; Peng, Ying; Sheng, Longsheng; Wu, Zimei; Sun, Jianguo; Wang, Guangji

    2016-04-29

    Asulacrine (ASL) is a broad-spectrum, antitumor drug whose data are promising for the treatment of breast and lung cancers; however, a high incidence of phlebitis hampered its further development. Phlebitis is associated with generation of reactive species. Asulacrine donates electrons and produces oxidative stress in chemical reactions. It was expected that ASL would actively metabolize to oxidized products through reactive intermediates and produce more products in vivo than reported and thus cause phlebitis. A comprehensive study was planned to investigate in vivo metabolism of ASL, using high-resolution mass spectrometry LC/IT-TOF MS in positive mode. Metabolites were detected by different software by applying annotated detection strategy. The possible metabolites and their product ions were simultaneously detected by segmented data acquisition to get accurate mass values. Segmented data acquisition improved signal-to-noise (S/N) ratio, which was helpful to detect metabolites and their fragments even when present in trace amounts. A total of 21 metabolites were detected in gender-based biological fluids and characterized by comparing their accurate mass values, fragmentation patterns, and relative retention times with that of ASL. Among previously reported glucuronosylation metabolites, some oxidation, hydroxylation, carboxylation, demethylation, hydrogenation, glutamination, and acetylcysteine conjugation were detected for the first time. Twenty metabolites were tentatively identified by using the annotated strategy for data acquisition and post-data mining.

  9. Text Mining for Neuroscience

    Science.gov (United States)

    Tirupattur, Naveen; Lapish, Christopher C.; Mukhopadhyay, Snehasis

    2011-06-01

    Text mining, sometimes alternately referred to as text analytics, refers to the process of extracting high-quality knowledge from the analysis of textual data. Text mining has wide variety of applications in areas such as biomedical science, news analysis, and homeland security. In this paper, we describe an approach and some relatively small-scale experiments which apply text mining to neuroscience research literature to find novel associations among a diverse set of entities. Neuroscience is a discipline which encompasses an exceptionally wide range of experimental approaches and rapidly growing interest. This combination results in an overwhelmingly large and often diffuse literature which makes a comprehensive synthesis difficult. Understanding the relations or associations among the entities appearing in the literature not only improves the researchers current understanding of recent advances in their field, but also provides an important computational tool to formulate novel hypotheses and thereby assist in scientific discoveries. We describe a methodology to automatically mine the literature and form novel associations through direct analysis of published texts. The method first retrieves a set of documents from databases such as PubMed using a set of relevant domain terms. In the current study these terms yielded a set of documents ranging from 160,909 to 367,214 documents. Each document is then represented in a numerical vector form from which an Association Graph is computed which represents relationships between all pairs of domain terms, based on co-occurrence. Association graphs can then be subjected to various graph theoretic algorithms such as transitive closure and cycle (circuit) detection to derive additional information, and can also be visually presented to a human researcher for understanding. In this paper, we present three relatively small-scale problem-specific case studies to demonstrate that such an approach is very successful in

  10. Mining machinery

    Energy Technology Data Exchange (ETDEWEB)

    Outram, J.K.

    1978-11-23

    This is concerned with a supporting and transport device for heavy mining auxiliary equipment such as hydraulic units, switchgear, transformers, etc., which must be erected nearby to operate large mines and which have to be moved on as the workings progress. The device consists of long steel structures consisting of girders, whose upper/outer part made as a bridge unit surrounds the conveyor part lying below it over its whole length. The bridge with the auxiliary equipment fixed to it can be lifted at the ends and in the centre by jacks. The bridge anchored to the floor of the seam engages with guide wheels under a flat rail, which are distributed on both sides along its length, where the rails run on the left and right along its length. Both rails form a track like that of a crane trolley, on which the conveyor structure under the bridge unit can be moved forward a certain distance. By lowering the bridge by its jacks, other pairs of wheels engage the same rails from above, so that the bridge with the auxiliary equipment can also be moved along on the support structure resting on the floor of the seam. By repeating this process all auxiliary equipment is brought close to the mining face by moving the required distance.

  11. Coal Mine Permit Boundaries

    Data.gov (United States)

    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...

  12. Exploration and Mining Roadmap

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2002-09-01

    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.

  13. Mining review

    Science.gov (United States)

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

    2004-01-01

    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.

  14. Mining Social Data to Extract Intellectual Knowledge

    Directory of Open Access Journals (Sweden)

    Muhammad Mahbubur Rahman

    2012-09-01

    Full Text Available Social data mining is an interesting phenomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pattern recognition, social mapping, responsibility distribution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data. In this research, we use social networking site facebook as primary data source. We collect different attributes such as about me, comments, wall post and age from facebook as raw data and use advanced data mining approaches to excavate intellectual knowledge. We also analyze our mined knowledge with comparison for possible usages like as human behavior prediction, pattern recognition, job responsibility distribution, decision making and product promoting.

  15. Semi autonomous mine detection system

    Energy Technology Data Exchange (ETDEWEB)

    Douglas Few; Roelof Versteeg; Herman Herman

    2010-04-01

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

  16. Coal Mines, Abandoned - Digitized Mined Areas

    Data.gov (United States)

    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...

  17. Wikipedia Mining

    Science.gov (United States)

    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.

  18. Integration of Web mining and web crawler: Relevance and State of Art

    Directory of Open Access Journals (Sweden)

    Subhendu kumar pani

    2010-05-01

    Full Text Available This study presents the role of web crawler in web mining environment. As the growth of the World Wide Web exceeded all expectations,the research on Web mining is growing more and more.web mining research topic which combines two of the activated research areas: Data Mining and World Wide Web .So, the World Wide Web is a very advanced area for data mining research. Search engines that are based on web crawling framework also used in web mining to find theinteracted web pages. This paper discusses a study on crawlers and related research issues on web mining. A theoretical framework is also suggested.

  19. Mining the HST "Advanced Spectral Library (ASTRAL)": Winds of the Evolved M Stars Alpha Ori (M2 Iab) and Gamma Cru (M3.4 III)

    Science.gov (United States)

    Carpenter, Kenneth G.; Nielsen, Krister E.; Kober, Gladys V.; Ayres, Thomas R.

    2015-01-01

    The "Advanced Spectral Library (ASTRAL) Project: Cool Stars" (PI = T. Ayres) is an HST Cycle 18 Treasury Program that collected a definitive set of representative, high-resolution (R=30,000-100,000) and high signal/noise (S/N>100) UV spectra of eight F-M evolved cool stars. These extremely high-quality STIS UV echelle spectra are available from the HST archive and through the ASTRAL website at the University of Colorado at http://casa.colorado.edu/~ayres/ASTRAL/ and will enable investigations of a broad range of problems -- stellar, interstellar, and beyond -- for many years. In this paper, we examine the wealth of wind diagnostics contained in the very rich spectra of the two evolved M stars in the sample, the M3.4 III giant Gamma Crucis (GaCrux) and the M2 Iab supergiant Alpha Orionis (Betelgeuse) and characterize the winds at the time of these STIS observations in 2011 and compare the results with those obtained from more limited data taken at earlier epochs with HST/GHRS and IUE. In particular we study the variation of the numerous Fe II profiles with intrinsic strength in the two stars. The shifting wavelengths of the wind absorptions relative to the emission peaks and the changes in relative strengths of the emission peaks reflect the acceleration of the wind from the base of the chromosphere. Although the characteristics of the Gamma Cru wind are relatively stable with time, the Alpha Ori wind outflow appears significantly smaller than seen by Carpenter et al. (1997, ApJ, 479, 970) in GHRS observations taken in 1992 (and in earlier IUE observations). There might in fact be evidence in these STIS spectra that the outflow has turned into an inflow, as reported at epochs prior to IUE by Boesgaard and Magnan (1975 ApJ 198, 369) and Boesgaard (1979 ApJ 232, 485) based on a limited number of lines in the extreme blue end of ground-based spectra.

  20. Mining machine safari

    Energy Technology Data Exchange (ETDEWEB)

    Woof, M.

    1998-11-01

    New South African and other mining equipment on display at the Electra 98 exhibition is described. Products include: cutting machines; shovels; crushing machines; drilling equipment; control systems; moon buggy inspection vehicles; remote control underground mining machines; longwall shearers; mining software; scrapedozers; continuous miners; sprays; mine haulage equipment; milling machines; flotation plant; mud removal systems; chains; vehicle exhaust filters and continuous miner monitoring systems.

  1. Mining lore : Bankhead, mining for coal

    Energy Technology Data Exchange (ETDEWEB)

    Nichiporuk, A.

    2007-09-15

    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.

  2. Escondida Mine, Chile

    Science.gov (United States)

    2002-01-01

    Full resolution visible and near-infrared image (1.4 MB) Full resolution shortwave infrared image (1.6 MB) This Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image covers 30 by 23 km (full images 30 x 37 km) in the Atacama Desert, Chile, and was acquired on April 23, 2000. The Escondida copper, gold, and silver open-pit mine is at an elevation of 3050 m, and began operations in 1990. Current capacity is 127,000 tons/day of ore; in 1999 production totaled 827,000 tons of copper, 150,000 ounces of gold, and 3.53 million ounces of silver. Primary concentrate of the ore is done on-site; the concentrate is then sent to the coast for further processing through a 170 km long, 9-inch pipe. Escondida is related geologically to three porphyry bodies intruded along the Chilean West Fissure Fault System. A high grade supergene cap overlies primary sulfide ore. The top image is a conventional 3-2-1 (near infrared, red, green) RGB composite. The bottom image displays shortwave infrared bands 4-6-8 (1.65um, 2.205um, 2.33um) in RGB, and highlights the different rock types present on the surface, as well as the changes caused by mining. Image courtesy NASA/GSFC/MITI/ERSDAC/JAROS, and U.S./Japan ASTER Science Team

  3. The application of modern surveying technology in mining survey

    Institute of Scientific and Technical Information of China (English)

    SHI Jin-feng; SONG Wei-dong; ZHANG Ji-chao; ZHANG Dong-mei

    2008-01-01

    With the unceasing appearance and widespread application of new surveying technology, the present age mining survey has meet huge change. However, lots of problems occurred while using the new techniques since the number of mine is large in China and condition of the mine district is complex, it in some sense influenced the mine exploitation and management of China. Summarized the present situation of new technical application in mining survey, including the advanced instrumentation equipment, the "3S"technology, the information and the network technology and the information fusion technology and so on, and analyzed the problems which exists in the current mining survey, it also provided new ways to present age mining survey from the sustainable development angle.

  4. Key technology study on pillar mining under the system of room and pillar mining

    Institute of Scientific and Technical Information of China (English)

    LIU Jin-xiao; GUO Wei-jia; CHEN Lian-jun; ZHU Xue-jun

    2007-01-01

    Taken taifeng coal mine in Mongolia for example, discussed the stability and controllability about advance pillars which locate at the front of working face and makes simulation on pillar with the software UDEC3.1. The failure styles of advance pillars are shear failure and compression failure through analyzing the stability of advance pillars.The paper concludes that can protect advance pillars from shear failure by controlling coefficient of volumetric expansion of mining field rock and supports' working resistance and can also protect it from compression failure by advance supporting, increasing setting pressure and working resistance. Two advance pillars are influenced and the main failure form is compression failure through the numerical simulation.

  5. Exploring the Integration of Data Mining and Data Visualization

    Science.gov (United States)

    Zhang, Yi

    2011-01-01

    Due to the rapid advances in computing and sensing technologies, enormous amounts of data are being generated everyday in various applications. The integration of data mining and data visualization has been widely used to analyze these massive and complex data sets to discover hidden patterns. For both data mining and visualization to be…

  6. The Potentials of Educational Data Mining for Researching Metacognition, Motivation and Self-Regulated Learning

    Science.gov (United States)

    Winne, Philip H.; Baker, Ryan S. J. D.

    2013-01-01

    Our article introduces the "Journal of Educational Data Mining's" Special Issue on Educational Data Mining on Motivation, Metacognition, and Self-Regulated Learning. We outline general research challenges for data mining researchers who conduct investigations in these areas, the potential of EDM to advance research in this area, and…

  7. Research on New Method of Full-Seam Mining for Gently Inclined Thick Coal Seams

    Institute of Scientific and Technical Information of China (English)

    赵景礼; 郭志飙; 柳慧鹏; 赵立军

    2002-01-01

    The recovery ratio of top-coal caving mining plays a key role in the development of this mining method. For the proposes to raise the recovery ratio and considering heading advance and roadway maintenance, a new method of full - seam mining for gently inclined thick coal seams is put forward on the basis of a theoretic research and engineering practice.

  8. Applying Web Usage Mining for Personalizing Hyperlinks in Web-Based Adaptive Educational Systems

    Science.gov (United States)

    Romero, Cristobal; Ventura, Sebastian; Zafra, Amelia; de Bra, Paul

    2009-01-01

    Nowadays, the application of Web mining techniques in e-learning and Web-based adaptive educational systems is increasing exponentially. In this paper, we propose an advanced architecture for a personalization system to facilitate Web mining. A specific Web mining tool is developed and a recommender engine is integrated into the AHA! system in…

  9. OntoRest: Text Mining Web Services in BioC Format

    OpenAIRE

    Marques, Hernani; Rinaldi, Fabio

    2014-01-01

    In this poster we present a set of biomedical text mining web services which can be used to provide remote access to the annotation results of an advanced text mining pipeline. The pipeline is part of a system which has been tested several times in community organized text mining competitions, often achieving top-ranked results.

  10. Data Mining and Machine Learning in Astronomy

    CERN Document Server

    Ball, Nicholas M

    2009-01-01

    We review the current state of data mining and machine learning in Astronomy. 'Data Mining' can have a somewhat mixed connotation from the point of view of a researcher in this field. On the one hand, it is a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, which promises almost limitless scientific advances. On the other, it can be the application of black-box computing algorithms that at best give little physical insight, and at worst provide questionable results. Here, we give an overview of the entire data mining process, from data collection through the interpretation of results. We cover common machine learning algorithms, such as artificial neural networks and support vector machines; applications from a broad range of Astronomy, with an emphasis on those where data mining resulted in improved physical insights, and important current and future directions, including the construction of full probability density functions, parallel algorithm...

  11. Mining Ostrava '93

    International Nuclear Information System (INIS)

    Part I of the Proceedings contains 55 contributions, out of which 2 deal with environmental impacts of undermining during coal mining, and of shocks and vibrations during underground coal mining. (Z.S.)

  12. Mines and Mineral Resources

    Data.gov (United States)

    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...

  13. Integration of Web mining and web crawler: Relevance and State of Art

    OpenAIRE

    Subhendu kumar pani; Deepak Mohapatra,; Bikram Keshari Ratha

    2010-01-01

    This study presents the role of web crawler in web mining environment. As the growth of the World Wide Web exceeded all expectations,the research on Web mining is growing more and more.web mining research topic which combines two of the activated research areas: Data Mining and World Wide Web .So, the World Wide Web is a very advanced area for data mining research. Search engines that are based on web crawling framework also used in web mining to find theinteracted web pages. This paper discu...

  14. Mine drainage treatment

    OpenAIRE

    Golomeova, Mirjana; Zendelska, Afrodita; Krstev, Boris; Golomeov, Blagoj; Krstev, Aleksandar

    2012-01-01

    Water flowing from underground and surface mines and contains high concentrations of dissolved metals is called mine drainage. Mine drainage can be categorized into several basic types by their alkalinity or acidity. Sulfide rich and carbonate poor materials are expected to produce acidic drainage, and alkaline rich materials, even with significant sulfide concentrations, often produce net alkaline water. Mine drainages are dangerous because pollutants may decompose in the environment. In...

  15. Mining in El Salvador

    DEFF Research Database (Denmark)

    Pacheco Cueva, Vladimir

    2014-01-01

    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....

  16. Web Usage Mining

    OpenAIRE

    Benkovská, Petra

    2007-01-01

    General characteristic of web mining including methodology and procedures incorporated into this term. Relation to other areas (data mining, artificial intelligence, statistics, databases, internet technologies, management etc.) Web usage mining - data sources, data pre-processing, characterization of analytical methods and tools, interpretation of outputs (results), and possible areas of usage including examples. Suggestion of solution method, realization and a concrete example's outputs int...

  17. Feasibility of an Integrated Thin Seam Coal Mining and Waste Disposal System

    OpenAIRE

    Basu, Kohinoor

    1997-01-01

    The depletion of more attractive thicker and easily accessible coal seams in the central Appalachia will direct attention towards the extraction of coal seams thinner than 28 in. This thesis investigates the feasibility of an integrated mining and backfilling system applicable to thin seams. Two conceptual mining systems, namely Auger mining and Self Advancing Miner, have been proposed for this purpose. Both these systems are designed to remotely mine coal from the seams. Several ...

  18. Mining planing introduction

    International Nuclear Information System (INIS)

    Basic concepts concerning mining parameters, plan establishment and typical procedure methods applied throughout the physical execution of mining operations are here determined, analyzed and discussed. Technological and economic aspects of the exploration phase are presented as well as general mathematical and statistical methods for estimating, analyzing and representing mineral deposits which are virtually essential for good mining project execution. The characterization of important mineral substances and the basic parameters of mining works are emphasized in conjunction with long, medium and short term mining planning. Finally, geological modelling, ore reserves calculations and final economic evaluations are considered using a hypothetical example in order to consolidate the main elaborated ideas. (D.J.M.)

  19. Post-mining policies and practices in the Eastern USA coal region

    Institute of Scientific and Technical Information of China (English)

    Jeff Skousen; Carl E. Zipper

    2014-01-01

    Surface coal mines prior to 1950 in the USA were generally left without any reclamation. As government regulations advanced since then, mine operators were required to backfill the area and plant grasses or trees. After the federal Surface Mining Control and Reclamation Act (SMCRA) was passed in 1977 in the USA, mine operators were required to conduct pre-mining analyses of the site and to designate a land use that could be achieved after mining. Successful reclamation, as needed to satisfy today’s societal demands, requires engineering, design, and purposeful reconstruction of the full mining disturbance, not just its surface, and control of waters leaving the mine site. Effective reclamation on modern American coal mines is fully integrated with the mining operation. A suitable and effective post-mining land use that is sustainable for future generations is crucial to the long-term success and profitability of the mining business and to the future economic benefits of the landowner. Accepted post-mining land uses in the USA are:(1) prime farmland, (2) hay land and pasture, (3) biofuel crops, (4) forestry, (5) wildlife habitat, and (6) building site development. Policies and regulations for each post-mining land use were developed and practices to achieve successful and sustainable land uses were established. Post-mining conditions should provide ecosystem services and produce lands capable of supporting societal needs in the future.

  20. Data mining in radiology

    Directory of Open Access Journals (Sweden)

    Amit T Kharat

    2014-01-01

    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.

  1. Data mining in radiology.

    Science.gov (United States)

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

    2014-04-01

    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

  2. Acid mine drainage risks - A modeling approach to siting mine facilities in Northern Minnesota USA

    Science.gov (United States)

    Myers, Tom

    2016-02-01

    Most watershed-scale planning for mine-caused contamination concerns remediation of past problems while future planning relies heavily on engineering controls. As an alternative, a watershed scale groundwater fate and transport model for the Rainy Headwaters, a northeastern Minnesota watershed, has been developed to examine the risks of leaks or spills to a pristine downstream watershed. The model shows that the risk depends on the location and whether the source of the leak is on the surface or from deeper underground facilities. Underground sources cause loads that last longer but arrive at rivers after a longer travel time and have lower concentrations due to dilution and attenuation. Surface contaminant sources could cause much more short-term damage to the resource. Because groundwater dominates baseflow, mine contaminant seepage would cause the most damage during low flow periods. Groundwater flow and transport modeling is a useful tool for decreasing the risk to downgradient sources by aiding in the placement of mine facilities. Although mines are located based on the minerals, advance planning and analysis could avoid siting mine facilities where failure or leaks would cause too much natural resource damage. Watershed scale transport modeling could help locate the facilities or decide in advance that the mine should not be constructed due to the risk to downstream resources.

  3. Longwall mining“cutting cantilever beam theory”and 110 mining method in ChinadThe third mining science innovation

    Institute of Scientific and Technical Information of China (English)

    Manchao He; Guolong Zhu; Zhibiao Guo

    2015-01-01

    abstract With the third innovation in science and technology worldwide, China has also experienced this marvelous progress. Concerning the longwall mining in China, the “masonry beam theory” (MBT) was first proposed in the 1960s, illustrating that the transmission and equilibrium method of overburden pressure using reserved coal pillar in mined-out areas can be realized. This forms the so-called “121 mining method”, which lays a solid foundation for development of mining science and technology in China. The“transfer rock beam theory”(TRBT) proposed in the 1980s gives a further understanding for the transmission path of stope overburden pressure and pressure distribution in high-stress areas. In this regard, the advanced 121 mining method was proposed with smaller coal pillar for excavation design, making significant contributions to improvement of the coal recovery rate in that era. In the 21st century, the traditional mining technologies faced great challenges and, under the theoretical developments pioneered by Profs. Minggao Qian and Zhenqi Song, the “cutting cantilever beam theory” (CCBT) was proposed in 2008. After that the 110 mining method is formulated subsequently, namely one stope face, after the first mining cycle, needs one advanced gateway excavation, while the other one is automatically formed during the last mining cycle without coal pillars left in the mining area. This method can be implemented using the CCBT by incorporating the key technologies, including the directional pre-splitting roof cutting, constant resistance and large deformation (CRLD) bolt/anchor supporting system with negative Poisson’s ratio (NPR) effect material, and remote real-time monitoring technology. The CCBT and 110 mining method will provide the theoretical and technical basis for the development of mining industry in China.

  4. Mining Representative Subset Based on Fuzzy Clustering

    Institute of Scientific and Technical Information of China (English)

    ZHOU Hongfang; FENG Boqin; L(U) Lintao

    2007-01-01

    Two new concepts-fuzzy mutuality and average fuzzy entropy are presented. Then based on these concepts, a new algorithm-RSMA (representative subset mining algorithm) is proposed, which can abstract representative subset from massive data.To accelerate the speed of producing representative subset, an improved algorithm-ARSMA(accelerated representative subset mining algorithm) is advanced, which adopt combining putting forward with backward strategies. In this way, the performance of the algorithm is improved. Finally we make experiments on real datasets and evaluate the representative subset. The experiment shows that ARSMA algorithm is more excellent than RandomPick algorithm either on effectiveness or efficiency.

  5. Text Mining Perspectives in Microarray Data Mining

    OpenAIRE

    Natarajan, Jeyakumar

    2013-01-01

    Current microarray data mining methods such as clustering, classification, and association analysis heavily rely on statistical and machine learning algorithms for analysis of large sets of gene expression data. In recent years, there has been a growing interest in methods that attempt to discover patterns based on multiple but related data sources. Gene expression data and the corresponding literature data are one such example. This paper suggests a new approach to microarray data mining as ...

  6. Numerical analysis and geotechnical assessment of mine scale model

    Institute of Scientific and Technical Information of China (English)

    Khanal Manoj; Adhikary Deepak; Balusu Rao

    2012-01-01

    Various numerical methods are available to model,simulate,analyse and interpret the results; however a major task is to select a reliable and intended tool to perform a realistic assessment of any problem.For a model to be a representative of the realistic mining scenario,a verified tool must be chosen to perform an assessment of mine roof support requirement and address the geotechnical risks associated with longwall mining.The dependable tools provide a safe working environment,increased production,efficient management of resources and reduce environmental impacts of mining.Although various methods,for example,analytical,experimental and empirical are being adopted in mining,in recent days numerical tools are becoming popular due to the advancement in computer hardware and numerical methods.Empirical rules based on past experiences do provide a general guide,however due to the heterogeneous nature of mine geology (i.e.,none of the mine sites are identical),numerical simulations of mine site specific conditions would lend better insights into some underlying issues.The paper highlights the use of a continuum mechanics based tool in coal mining with a mine scale model.The continuum modelling can provide close to accurate stress fields and deformation.The paper describes the use of existing mine data to calibrate and validate the model parameters,which then are used to assess geotechnical issues related with installing a new high capacity longwall mine at the mine site.A variety of parameters,for example,chock convergences,caveability of overlying sandstones,abutment and vertical stresses have been estimated.

  7. Collaborative Data Mining

    Science.gov (United States)

    Moyle, Steve

    Collaborative Data Mining is a setting where the Data Mining effort is distributed to multiple collaborating agents - human or software. The objective of the collaborative Data Mining effort is to produce solutions to the tackled Data Mining problem which are considered better by some metric, with respect to those solutions that would have been achieved by individual, non-collaborating agents. The solutions require evaluation, comparison, and approaches for combination. Collaboration requires communication, and implies some form of community. The human form of collaboration is a social task. Organizing communities in an effective manner is non-trivial and often requires well defined roles and processes. Data Mining, too, benefits from a standard process. This chapter explores the standard Data Mining process CRISP-DM utilized in a collaborative setting.

  8. Coal mine site reclamation

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2013-02-15

    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.

  9. Gold-Mining

    DEFF Research Database (Denmark)

    Raaballe, J.; Grundy, B.D.

    2002-01-01

    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......  Based on standard option pricing arguments and assumptions (including no convenience yield and sustainable property rights), we will not observe operating gold mines. We find that asymmetric information on the reserves in the gold mine is a necessary and sufficient condition for the existence...

  10. 矿山开发的水土环境效应遥感监测研究进展%Research Advances on Water and Soil Environment Effect of Mine Exploitation by Remote Sensing Monitoring

    Institute of Scientific and Technical Information of China (English)

    刘征; 赵旭阳; 党宏媛

    2012-01-01

    The mine exploitation leads to serious water and soil environmental problems.The water and soil environmental effect of mine exploitation includes water pollution and the change of hydrologic cycle and soil heavy metal pollution.Remote sensing plays an important role in water and soil environment effect monitoring of mineral development,due to the advantages of its real-time,efficiency,lager mount of data and wide range of observation.This paper reviews the research progress on the mine information extraction,soil heavy metal pollution and water pollution of mine exploitation by remote sensing monitoring method at home and abroad.It discusses the research field of scientific problems to be solved and the future research and development prospects,hoping to give some help to the theory on remote sensing monitoring on water and soil environment effect of mineral development and the control of water and soil pollution.The results show that during the mine exploitation,the acid mine waste water adsorbs heavy metal,further polluting the soil surface and water by migrating pollution.The mine exploitation changes the hydrologic characteristics of the basin of underlying surface.Using remote sensing technology to extract the mine exploitation has achieved good social effect.Future studies are needed to build a stable of data security.Further steps are needed to improve extraction method and precision of extraction in using high-resolution remote sensing image in mine information extraction.%矿山开发导致严重的水土环境污染.矿山开发的水土环境效应包括水质污染、水文循环改变和土壤重金属污染等方面.遥感以实时、高效、数据量大、观测范围广的优点,在矿山开发水土环境效应监测中发挥了重要的作用.笔者综述了矿山信息提取、土壤重金属污染和矿山开发水污染遥感监测方法国内外研究进展,讨论了该研究领域亟待解决的科学问题及今后

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

    Directory of Open Access Journals (Sweden)

    Qingliang Chang

    2014-01-01

    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.

  12. Mining in South Africa

    Energy Technology Data Exchange (ETDEWEB)

    Brewis, T.

    1992-09-01

    Poor metals prices, high inflation, rapid political change and (in the case of gold) hot, deep mines all pose challenging problems. Nevertheless, mining plays an essential role in the South African economy and the long-term outlook is positive. The article discusses recent developments in technology and gives production figures for mining of gold, coal, platinum, diamonds, ferrous metals, non-ferrous metals and industrial minerals. 4 refs., 1 tab., 5 photos.

  13. The intelligent deep mine

    Energy Technology Data Exchange (ETDEWEB)

    Hejny, Horst [Mineral Industry Research Organisation (MIRO), Birmingham (United Kingdom)

    2010-12-15

    The intended 'Intelligent Deep Mine'' (IDM) initiative will cope with the challenges the mining industry is currently facing. The main focus will be on technological issues. An increasing share of the total mining production will be by underground mining. The mineral deposits will be found in gradually greater depths, including all problems associated with it. It involves an increase in overburden pressure with subsequent rock stability problems and risks of structural collapse. There is a need for new and safe technologies for deep underground mining. This need targets at nearly all parts of a modern mine, the infrastructure including the communication network, logistics and transport and will reach up to mine preparation work and the winning operation itself including maintenance. Additionally, the concept of near-to-face preparation will be considered in order to step into an ''Invisible Mine'' approach. The IDM project marks the start of a series of development activities aiming to realise the concept of an invisible, zero-impact mine. The extractive sector, still seen as being old-fashioned and highly environment polluting, will join forces to revise this image showing that minerals extraction and processing can be done in a highly innovative manner with low impact underground and zero impact above ground. (orig.)

  14. Uranium mining and milling

    International Nuclear Information System (INIS)

    In this report uranium mining and milling are reviewed. The fuel cycle, different types of uranium geological deposits, blending of ores, open cast and underground mining, the mining cost and radiation protection in mines are treated in the first part of this report. In the second part, the milling of uranium ores is treated, including process technology, acid and alkaline leaching, process design for physical and chemical treatment of the ores, and the cost. Each chapter is clarified by added figures, diagrams, tables, and flowsheets. (HK)

  15. Responsible Mining: A Human Resources Strategy for Mine Development Project

    OpenAIRE

    Sampathkumar, Sriram (Ram)

    2012-01-01

    Mining is a global industry. Most mining companies operate internationally, often in remote, challenging environments and consequently frequently have respond to unusual and demanding Human Resource (HR) requirements. It is my opinion that the strategic imperative behind success in mining industry is responsible mining. The purpose of this paper is to examine how an effective HR strategy can be a competitive advantage that contributes to the success of a mining project in the global mining in...

  16. Implementation of E-Service Intelligence in the Field of Web Mining

    Directory of Open Access Journals (Sweden)

    PROF. MS. S. P. SHINDE,

    2011-05-01

    Full Text Available The World Wide Web is a popular and interactive medium to disseminate information today .The web is huge, diverse, dynamic, widely distributed global information service centre. We are familiar with the terms like e-commerce, e-governance, e-market, e-finance, e-learning, e-banking etc. These terms come under online services called e-service applications. E-services involve various types of delivery systems, advanced information technologies, methodologies and applications of online services. The keyword intelligence will be the next paradigm shift in the e-services, thanks to internet technological advances. Intelligence is closely related with Artificial Intelligence. Web Mining is the technique used to crawlthrough various web resources to collect required information, which enables an individual to promote business, understanding marketing dynamics, and new promotions floating on the Internet etc. Thetaxonomy of web mining can be broadly divided into three distinct categories; according to the kinds of data to be mined they are Web Content Mining, Web Structure Mining and Web Usage Mining. Thereare a lot of techniques of web mining however, artificial intelligence techniques and algorithms are being used by almost all web mining tasks for their efficiency. This paper discusses the two main AI techniques; the Multi-Agent Systems and Swarm Intelligence, with some of their applications in web mining. Web Mining Intelligent techniques can be combined with traditional web mining approaches to improve the quality of mining.

  17. A Survey on Web Multimedia Mining

    CERN Document Server

    Kamde, Pravin M

    2011-01-01

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

  18. Fertility and occupation: mining districts in prewar Japan.

    Science.gov (United States)

    Mosk, C

    1981-01-01

    Although many theories of demographic transition claim that diffusion of deliberate family limitation reaches the agrarian segments of populations last, research has shown that the fertility of mining regions usually exceeds that of farming villages during the transition. Examination of Japanese coal mining regions during the mid-1920s, reveals that the mining districts had lower natality than surrounding rural districts. The lower natality rate was apparently caused by lower marital fertility, and not by excessivly high mortality rates. Mortality was found to be only slightly higher in the mining areas, lending credence to the view that health was less robust in mining areas. Japanese mining areas differ from their European counterparts, which are characterized by excessive natality levels. Regression analysis was used to confirm these conclusions. The model advanced by the author to explain the lower fertility levels seen in the Japanese mining areas as compared to European mining areas involves the higher level of employment opportunities that were available outside the home for Japanese females in mining districts. PMID:11633196

  19. On quantitative prediction of mine structure and application of the method

    Institute of Scientific and Technical Information of China (English)

    夏玉成; 樊怀仁

    2002-01-01

    Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative procedure must give way to quantitative prediction method backed by mathematics theory and computer technology. This paper explores some relevant problems with the method, introducing a software, MSPS, used to predict automatically and quantitatively the relative complexities of geologic structures in different blocks of a coal mining area, with an application example employing the software to select the most suitable mining sites.

  20. LLNL electro-optical mine detection program

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, C.; Aimonetti, W.; Barth, M.; Buhl, M.; Bull, N.; Carter, M.; Clark, G.; Fields, D.; Fulkerson, S.; Kane, R. [and others

    1994-09-30

    Under funding from the Advanced Research Projects Agency (ARPA) and the US Marine Corps (USMC), Lawrence Livermore National Laboratory (LLNL) has directed a program aimed at improving detection capabilities against buried mines and munitions. The program has provided a national test facility for buried mines in arid environments, compiled and distributed an extensive data base of infrared (IR), ground penetrating radar (GPR), and other measurements made at that site, served as a host for other organizations wishing to make measurements, made considerable progress in the use of ground penetrating radar for mine detection, and worked on the difficult problem of sensor fusion as applied to buried mine detection. While the majority of our effort has been concentrated on the buried mine problem, LLNL has worked with the U.S.M.C. on surface mine problems as well, providing data and analysis to support the COBRA (Coastal Battlefield Reconnaissance and Analysis) program. The original aim of the experimental aspect of the program was the utilization of multiband infrared approaches for the detection of buried mines. Later the work was extended to a multisensor investigation, including sensors other than infrared imagers. After an early series of measurements, it was determined that further progress would require a larger test facility in a natural environment, so the Buried Object Test Facility (BOTF) was constructed at the Nevada Test Site. After extensive testing, with sensors spanning the electromagnetic spectrum from the near ultraviolet to radio frequencies, possible paths for improvement were: improved spatial resolution providing better ground texture discrimination; analysis which involves more complicated spatial queueing and filtering; additional IR bands using imaging spectroscopy; the use of additional sensors other than IR and the use of data fusion techniques with multi-sensor data; and utilizing time dependent observables like temperature.

  1. Rise of Data Mining: Current and Future Application Areas

    Directory of Open Access Journals (Sweden)

    Dharminder Kumar

    2011-09-01

    Full Text Available Knowledge has played a significant role on human activities since his development. Data mining is the process of knowledge discovery where knowledge is gained by analyzing the data store in very large repositories, which are analyzed from various perspectives and the result is summarized it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become a very important and guaranteed branch of engineering affecting human life in various spheres directly or indirectly. Advancements in Statistics, Machine Learning, Artificial Intelligence, Pattern recognition and Computation capabilities have given present days data mining functionality a new height. Data mining have various applications and these applications have enriched the various fields of human life including business, education, medical, scientific etc. Objective of this paper is to discuss various improvements and breakthroughs in the field of data mining from past to the present and also to explores the future trends.

  2. A SURVEY ON WEB MULTIMEDIA MINING

    Directory of Open Access Journals (Sweden)

    Pravin M. Kamde

    2011-08-01

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

  3. Image Mining Using Texture and Shape Feature

    Directory of Open Access Journals (Sweden)

    Prof.Rupali Sawant

    2010-12-01

    Full Text Available Discovering knowledge from data stored in typical alphanumeric databases, such as relational databases, has been the focal point of most of the work in database mining. However, with advances in secondary and tertiary storage capacity, coupled with a relatively low storage cost, more and more non standard data (in the form of images is being accumulated. This vast collection of image data can also be mined to discover new and valuable knowledge. During theprocess of image mining, the concepts in different hierarchiesand their relationships are extracted from different hierarchies and granularities, and association rule mining and concept clustering are consequently implemented. The generalization and specialization of concepts are realized in different hierarchies, lower layer concepts can be upgraded to upper layer concepts, and upper layer concepts guide the extraction of lower layer concepts. It is a process from image data to image information, from image information to imageknowledge, from lower layer concepts to upper layer concept lattice and cloud model theory is proposed. The methods of image mining from image texture and shape features are introduced here, which include the following basic steps: firstly pre-process images secondly use cloud model to extract concepts, lastly use concept lattice to extracta series of image knowledge.

  4. Moving up down in the mine: Sex segregation in underground coal mining

    International Nuclear Information System (INIS)

    This study employs both individualist theories of human capital and sex-role spillover and structuralist theories from the socialist feminist perspective, emphasizing the formal and informal organizational factors operating within a patriarchal capitalist society to explain job-level sex segregation among underground coal miners. Both quantitative and qualitative data on women in coal mining are used to evaluate these theories. A logistic regression analysis performed on data obtained in 1986 by the US Bureau of Mines demonstrates that while human capital variables are predictive of a miner's job rank, variation in job rank attributed to gender is even greater. For men, training and experience in mining combine to increase the probability of being in a more skilled job in a coal mine. Age and seniority are curvilinearly related to the variation in men's job rank. For women, only age accounts for their advancement such that younger, not older women who have slightly more mining experience, occupy the more skilled positions in the work place. These findings suggest that, in terms of job advancement, men enjoy a greater return on their human capital investments than women, and that factors other than those representing a miner's human capital are affecting women's positions underground more than men's

  5. The Penarroya mining railway

    International Nuclear Information System (INIS)

    The French Society Miniere et Metallurgique de Panarroya mining railway, 241 km long, was the second largest private narrow gauge railway in Spain. Located in the inland. linked the coal and galena mines with foundries and also with the national railroads grid, to transport the minerals to national and foreign markets. (Author)

  6. Ghana - Mining and Development

    OpenAIRE

    P. C. Mohan

    2004-01-01

    The objectives of the project ($9.37 million, 1996-2001) were to (a) enhance the capacity of the mining sector institutions to carry out their functions of encouraging and regulating investments in the mining sector in an environmentally sound manner and (b) support the use of techniques and mechanisms that will improve productivity, financial viability and reduce the environmental impact of ...

  7. Application of Modern Tools and Techniques for Mine Safety & Disaster Management

    Science.gov (United States)

    Kumar, Dheeraj

    2016-04-01

    The implementation of novel systems and adoption of improvised equipment in mines help mining companies in two important ways: enhanced mine productivity and improved worker safety. There is a substantial need for adoption of state-of-the-art automation technologies in the mines to ensure the safety and to protect health of mine workers. With the advent of new autonomous equipment used in the mine, the inefficiencies are reduced by limiting human inconsistencies and error. The desired increase in productivity at a mine can sometimes be achieved by changing only a few simple variables. Significant developments have been made in the areas of surface and underground communication, robotics, smart sensors, tracking systems, mine gas monitoring systems and ground movements etc. Advancement in information technology in the form of internet, GIS, remote sensing, satellite communication, etc. have proved to be important tools for hazard reduction and disaster management. This paper is mainly focused on issues pertaining to mine safety and disaster management and some of the recent innovations in the mine automations that could be deployed in mines for safe mining operations and for avoiding any unforeseen mine disaster.

  8. Data mining for service

    CERN Document Server

    2014-01-01

    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 ...

  9. Radioecological challenges for mining

    Energy Technology Data Exchange (ETDEWEB)

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

    2014-07-01

    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

  10. Mining Big Data to Predicting Future

    OpenAIRE

    Tyagi, Amit K.; Priya, R.

    2015-01-01

    Due to technological advances, vast data sets (e.g. big data) are increasing now days. Big Data a new term; is used to identify the collected datasets. But due to their large size and complexity, we cannot manage with our current methodologies or data mining software tools to extract those datasets. Such datasets provide us with unparalleled opportunities for modelling and predicting of future with new challenges. So as an awareness of this and weaknesses as well as the possibilit...

  11. Roadway deformation during riding mining in soft rock

    Institute of Scientific and Technical Information of China (English)

    Zhao Guozhen; Ma Zhanguo; Zhu Qinghua; Mao Xianbiao; Feng Meimei

    2012-01-01

    "Riding mining" is a form of mining where the working face is located above the roadway and advances parallel to it.Riding mining in deep soft rock creates a particular set of problems in the roadway that include high stresses,large deformations,and support difficulties.Herein we describe a study of the rock deformation mechanism of a roadway as observed during riding mining in deep soft rock.Theoretical analysis,numerical simulations,and on site monitoring were used to examine this problem.The stress in the rock and the visco-elastic behavior of the rock are considered.Real time data,recorded over a period of 240 days,were taken from a 750 transportation roadway.Stress distributions in the rock surrounding the roadway were studied by comparing simulations to observations from the mine.The rock stress shows dynamic behavior as the working face advances.The pressure increases and then drops after peaking as the face advances.Both elastic and plastic deformation of the surrounding rock occurs.Plastic deformation provides a mechanism by which stress in the rock relaxes due to material flow.A way to rehabilitate the roadway is suggested that will help ensure mine safety.

  12. Utilization and Implementation of Atmospheric Monitoring Systems in United States Underground Coal Mines and Application of Risk Assessment

    OpenAIRE

    Griffin, Kenneth R

    2013-01-01

    Explosions of gas and dust continue to be recognized as an extreme danger in underground coal mines and still occur despite significant technological advances. Mining researchers have been attempting to accurately measure and quantify ventilation and gas properties since early mining; however basic monitoring attempts were limited by the available technologies. Recent advancements in monitoring and communication technologies enable comprehensive atmospheric monitoring to become feasible on a ...

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

    OpenAIRE

    Qingliang Chang; Jianhang Chen; Huaqiang Zhou; Jianbiao Bai

    2014-01-01

    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...

  14. Integrating Data Mining Techniques into Telemedicine Systems

    Directory of Open Access Journals (Sweden)

    Mihaela GHEORGHE

    2014-01-01

    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.

  15. Data mining in Cloud Computing

    OpenAIRE

    Ruxandra-Ştefania PETRE

    2012-01-01

    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 implem...

  16. Concept of Web Usage Mining

    OpenAIRE

    Istrate Mihai

    2011-01-01

    Web mining is the use of data mining techniques to automatically discover and extract information from World Wide Web documents and services. This article considers the question: is effective Web mining possible? Skeptics believe that the Web is too unstructured for Web mining to succeed. Indeed, data mining has been applied to databases traditionally, yet much of the information on the Web lies buried in documents designed for human consumption such as home pages or product catalogs. Further...

  17. Languages for Mining and Learning

    OpenAIRE

    De Raedt, Luc

    2015-01-01

    Applying machine learning and data mining to novel applications is cumbersome. This observation is the prime motivation for the interest in languages for learning and mining. In this talk, I shall provide a gentle introduction to three types of languages that support machine learning and data mining: inductive query languages, which extend database query languages with primitives for mining and learning, modelling languages, which allow to declaratively specify and solve mining and learning p...

  18. Mine Maps as Grey Literature

    OpenAIRE

    Musser, Linda R. (Pennsylvania State University); GreyNet, Grey Literature Network Service

    2000-01-01

    Mine maps are extremely useful resources for determining regional and local hydrogeologic conditions as well as mineral resources and reserves. Users include mining companies, property owners concerned about risk factors related to mining activities, government inspectors, engineers and planners. Hundreds of thousands of mine maps exist yet how many are collected or cataloged by libraries or archives? This paper examines the characteristics of mine maps, how they are published, their value, a...

  19. A Strategy for Coal Bed Methane and Coal Mine Methane Development and Utilization in China

    OpenAIRE

    Energy Sector Management Assistance Program

    2007-01-01

    China is short of clean energy, particularly conventional natural gas. The proven per capital natural gas reserve is only 1/12th of the world average. However, China has large coal bed methane (CBM) resources with development potential which can be recovered from surface boreholes independent of mining and in advance of mining, and also captured as a part of underground coal mining operati...

  20. Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art

    OpenAIRE

    Harpaz, Rave; Callahan, Alison; Tamang, Suzanne; Low, Yen; Odgers, David; Finlayson, Sam; Jung, Kenneth; LePendu, Paea; Shah, Nigam H.

    2014-01-01

    Text mining is the computational process of extracting meaningful information from large amounts of unstructured text. Text mining is emerging as a tool to leverage underutilized data sources that can improve pharmacovigilance, including the objective of adverse drug event detection and assessment. This article provides an overview of recent advances in pharmacovigilance driven by the application of text mining, and discusses several data sources—such as biomedical literature, clinical narrat...

  1. Ensemble Data Mining Methods

    Data.gov (United States)

    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...

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

    Energy Technology Data Exchange (ETDEWEB)

    Jerzy Kicki; Eugeniusz Sobczyk (eds.)

    2004-01-15

    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.

  3. Python data mining environments

    OpenAIRE

    Mrak, Aleš

    2012-01-01

    In the thesis we compare the systems for data mining that have an interface in the programming language Python. Many open-source systems for data mining and library had implemented their software interfaces to the Python programming language. They choose Python because it is fast and provides object-oriented programming, allows for the integration of other software libraries in Python and is implemented in all major operating systems (Windows, Linux / Unix, OS / 2, Mac, etc..). Our analysis s...

  4. Coal Mines Security System

    OpenAIRE

    Ankita Guhe; Shruti Deshmukh; Bhagyashree Borekar; Apoorva Kailaswar; Milind E. Rane

    2012-01-01

    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, auto...

  5. MINING INDUSTRY IN CROATIA

    OpenAIRE

    Slavko Vujec

    1996-01-01

    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 Cro...

  6. MINING INDUSTRY IN CROATIA

    Directory of Open Access Journals (Sweden)

    Slavko Vujec

    1996-12-01

    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.

  7. Web Mining: An Overview

    Directory of Open Access Journals (Sweden)

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

    2011-12-01

    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. Data mining in radiology

    OpenAIRE

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

    2014-01-01

    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 dec...

  9. Research Advances in the Ecosystem Services of the Reclaimed Mining Areas%复垦后矿区生态系统服务功能研究进展

    Institute of Scientific and Technical Information of China (English)

    王晶; 魏忠义

    2012-01-01

    Ecosystem service functions and its valuation around the world were reviewed in this paper. The conception and the characteristics of the ecosystem services in the reclaimed mining areas were proposed,and it classified service functions as product supplying,ecological regulating and cultural educating. Meanwhile, the research analyzed the problems in current research. For example,the research on formation mechanism of this ecosystem services,the evaluation theory and methods need to be improved, but the valuation is inaccurate. So the future research on this valuation should be focused on the theory exploration and method improvement,commencing with the microcosmic formation mechanism to carry out valuation research on different scales and types of ecosystem services in the reclaimed mining areas. By considering sufficiently the factors influencing its value,the means,method and technique of evaluation were improved,which make the results more comparative and practicable. It provides the theoretical basis and technical support for developing and utilizing mineral resources , and achieving the sustainable development of eco-mining.%综述了国内外有关生态系统服务功能及其价值评估的研究进展,提出了复垦后矿区生态系统服务功能的概念、特性,归纳其类型为生产功能、生态功能和文化功能.同时简要分析了当前研究中存在的问题,如服务功能形成的微观机制及其参数研究欠缺、评价理论和方法有待完善、评价结果准确度低等,从而明确了今后的研究应着重于理论探索与方法完善,以复垦后矿区生态系统的微观形成机制为切入点,开展不同尺度和类型的服务功能价值评估,充分考虑影响其功能价值的因素,改进评估的手段、方法和技术,使评估结果更具可比性和实用性,为合理开发和利用矿产资源,实现矿区生态的可持续发展提供理论依据和技术支持.

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

    Institute of Scientific and Technical Information of China (English)

    DENG Jian; BIAN Li

    2007-01-01

    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.

  11. Zonal disintegration of rocks around underground mines, part III: theoretical concepts

    Energy Technology Data Exchange (ETDEWEB)

    Shemyakin, E.I.; Fisenko, G.L.; Kurlenya, M.V.; Oparin, V.N.; Reva, V.N.; Glushikhin, F.P.; Rozenbaum, M.A.; Tropp, E.A.; Kuznetsov, Yu.D.

    1987-11-01

    The authors construct a nonlinear mathematical model describing the fracture mechanics of coal seams during explosive fracturing and drilling operations in underground mining. The model incorporates stress distribution and relaxation analysis and crack propagation along with other mechanical properties and can be implemented in determining the required layout and strength of support systems and the advance of the mine working.

  12. Mining and sustainable development: Considerations for minerals supply

    International Nuclear Information System (INIS)

    Sustainable development involves meeting the needs of human societies while maintaining viable biological and physical Earth systems. The needs include minerals: metals, fuels, industrial and construction materials. There will continue to be considerable demand for virgin mineral resources, even if levels of recycling and efficiency of use are optimal, and rates of population growth and globalisation decrease significantly. This article aims to stimulate debate on strategic issues for minerals supply. While the world has considerable stocks of mineral resources overall, international considerations of the environmental and social aspects of sustainable development are beginning to result in limitations on where mining will be conducted and what types of deposits will be mined. Current and emerging trends favour large mines in parts of the world where mining can be conducted within acceptable limits of environmental and social impact. Finding new deposits that meet such criteria will be all the more challenging given a disturbing global decline in the rate of discovery of major economic resources over the last decade, and the decreasing land area available for exploration and mining. To attract responsible exploration and mining, governments and mining nations will need to provide: regional-scale geo-scientific datasets as required to attract and guide future generations of exploration; resource access through multiple and sequential land use regimes, and frameworks for dealing with indigenous peoples' issues; and arrangements for consideration of mining proposals and regulation of mines that ensure responsible management of environmental and social issues. The minerals industry will need to continue to pursue advances in technologies for exploration, mining, processing, waste management and rehabilitation, and in public reporting of environmental and social performance. (author)

  13. Mining knowledge in astrophysical massive data sets

    International Nuclear Information System (INIS)

    Modern scientific data mainly consist of huge data sets gathered by a very large number of techniques and stored in much diversified and often incompatible data repositories. More in general, in the e-science environment, it is considered as a critical and urgent requirement to integrate services across distributed, heterogeneous, dynamic 'virtual organizations' formed by different resources within a single enterprise. In the last decade, Astronomy has become an immensely data-rich field due to the evolution of detectors (plates to digital to mosaics), telescopes and space instruments. The Virtual Observatory approach consists of the federation under common standards of all astronomical archives available worldwide, as well as data analysis, data mining and data exploration applications. The main drive behind such an effort is that once the infrastructure is complete, it will allow a new type of multi-wavelength, multi-epoch science, which can only be barely imagined. Data mining, or knowledge discovery in databases, while being the main methodology to extract the scientific information contained in such Massive Data Sets (MDS), poses crucial problems since it has to orchestrate complex problems posed by transparent access to different computing environments, scalability of algorithms, reusability of resources, etc. In the present paper we summarize the present status of the MDS in the Virtual Observatory and what is currently done and planned to bring advanced data mining methodologies in the case of the DAME (DAta Mining and Exploration) project.

  14. A SURVEY ON WEB MULTIMEDIA MINING

    Directory of Open Access Journals (Sweden)

    Pravin M. Kamde

    2011-09-01

    Full Text Available Modern developments in digital media technologies has made transmitting and storing large amounts ofmulti/rich media data (e.g. text, images, music, video and their combination more feasible and affordablethan ever before. However, the state of the art techniques to process, mining and manage those rich mediaare still in their infancy. Advances developments in multimedia acquisition and storage technology therapid progress has led to the fast growing incredible amount of data stored in databases. Usefulinformation to users can be revealed if these multimedia files are analyzed. Multimedia mining deals withthe extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly storedin multimedia files. Also in retrieval, indexing and classification of multimedia data with efficientinformation fusion of the different modalities is essential for the system's overall performance. The purposeof this paper is to provide a systematic overview of multimedia mining. This article is also represents theissues in the application process component for multimedia mining followed by the multimedia miningmodels.

  15. Study on the Independent Advance of Ore Breaking in Sublevel Caving in Meishan Iron Mine%梅山铁矿无底柱分段崩落法崩矿步距研究

    Institute of Scientific and Technical Information of China (English)

    董振民; 俞胜建

    2001-01-01

    崩矿步距是框定放出体三维结构参数中的重要一维,当分段高度进路间距已定时,对放矿效果有着决定性的影响。为寻求适应于15 m×15 m结构参数下的合理崩矿步距,本文对15 m段高,15 m间距下的放矿步距与矿石损失贫化指标的关系,分别进行了物理模拟、计算机仿真、放出体工业试验及现场崩矿步距工业试验。%The independent advance of ore breaking is an important dimension in defining 3D structural parameters of drawing-off volume and has a decisive effect on ore drawing results when the sublevel height and access space are set.To find out a rational independent advance of ore breaking that suits to 15 m×15 m structural parameters,physical simulation,computer imitation,industrial tests of drawing-off volume and on-site independent advance of ore-breaking were made to obtain the relationship between the independent advance of ore drawing and ore dilution index at a 15 m sublevel height and a 15 m space.

  16. CENTER FOR ADVANCED SEPARATION TECHNOLOGY (CAST) PROGRAM

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Roe-Hoan; Hull, Christopher

    2014-09-30

    The U.S. is the largest producer of mining products in the world. In 2011, U.S. mining operations contributed a total of $232 billion to the nation’s GDP plus $138 billion in labor income. Of this the coal mining industry contributed a total of $97.5 billion to GDP plus $53 billion in labor income. Despite these contributions, the industry has not been well supported with research and development funds as compared to mining industries in other countries. To overcome this problem, the Center for Advanced Separation Technologies (CAST) was established to develop technologies that can be used by the U.S. mining industry to create new products, reduce production costs, and meet environmental regulations.

  17. Mine hoist automation and control systems

    Energy Technology Data Exchange (ETDEWEB)

    Cock, M.J.L. [CEGELEC Projects Ltd., Rugby (United Kingdom). Mining Marine and Industrial Drives Division

    1995-06-01

    In the past control systems for mine hoists have used many technologies including analogue control, relays and static logic. The dramatic advances in technology in recent years now means that all control functions can be performed using a distributed microprocessor system which minimises training, and gives superior diagnostic information, provides very high reliability. The modern distributed microprocessor system covers all the needs of a mine hoist, from advanced control through automation sequencing to safety systems and electronic speed distance protection. The safety core remains as a proven dual line relay system, but is enhanced by comprehensive first up and status monitoring. The advantages of a distributed microprocessor control system are outlined. Details are presented of the proven MWS2000 system as applied to a cycloconvertor winder, and on the range of options available, which includes the elimination of all drum driven auxiliary shafts, cam gear units and mechanical speed distance protection. Special control techniques for deep level hoisting are incorporated in the system, including `S` shaped speed control of emergency mechanical brakes to minimise rope stress. Finally, a review is given of the latest developments in control technology, and the implications for future developments in mine hoisting. 10 figs.

  18. Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis...

  19. China Aluminum Guangxi Nonferrous Rare Earth Mining Company Limited was Founded

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    <正>The China Aluminum Guangxi Non-ferrous Rare Earth Mining Company Limited co-built by Aluminium Corporation of China,Guangxi Non-ferrous Metal Group Company Limited,and Grirem Advanced Materials Co.,Ltd.was

  20. Event metadata records as a testbed for scalable data mining

    International Nuclear Information System (INIS)

    At a data rate of 200 hertz, event metadata records ('TAGs,' in ATLAS parlance) provide fertile grounds for development and evaluation of tools for scalable data mining. It is easy, of course, to apply HEP-specific selection or classification rules to event records and to label such an exercise 'data mining,' but our interest is different. Advanced statistical methods and tools such as classification, association rule mining, and cluster analysis are common outside the high energy physics community. These tools can prove useful, not for discovery physics, but for learning about our data, our detector, and our software. A fixed and relatively simple schema makes TAG export to other storage technologies such as HDF5 straightforward. This simplifies the task of exploiting very-large-scale parallel platforms such as Argonne National Laboratory's BlueGene/P, currently the largest supercomputer in the world for open science, in the development of scalable tools for data mining. Using a domain-neutral scientific data format may also enable us to take advantage of existing data mining components from other communities. There is, further, a substantial literature on the topic of one-pass algorithms and stream mining techniques, and such tools may be inserted naturally at various points in the event data processing and distribution chain. This paper describes early experience with event metadata records from ATLAS simulation and commissioning as a testbed for scalable data mining tool development and evaluation.

  1. Accounting and Financial Data Analysis Data Mining Tools

    Directory of Open Access Journals (Sweden)

    Diana Elena Codreanu

    2011-05-01

    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.

  2. Pocket data mining big data on small devices

    CERN Document Server

    Gaber, Mohamed Medhat; Gomes, Joao Bartolo

    2014-01-01

    Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the depl...

  3. EARLY HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES

    Directory of Open Access Journals (Sweden)

    Aditya Methaila

    2014-08-01

    Full Text Available The successful application of data mining in highly visible fields like e-business, marketing and retail has led to its application in other industries and sectors. Among these sectors just discovering is healthcare. The Healthcare industry is generally “information rich”, but unfortunately not all the data are mined which is required for discovering hidden patterns & effective decision making .Discovery of hidden patterns and relationships often goes unexploited. Advanced data mining modeling techniques can help remedy this situation. This research paper intends to use data mining Classification Modeling Techniques, namely, Decision Trees, Naïve Bayes and Neural Network, along with weighted association Apriori algorithm and MAFIA algorithm in Heart Disease Prediction. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting heart disease.

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

    Directory of Open Access Journals (Sweden)

    Wei Zhang

    2014-12-01

    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.

  5. NEMICO: Mining network data through cloud-based data mining techniques

    OpenAIRE

    Garza, Paolo; Chiusano, Silvia Anna; Grimaudo, Luigi; Pulvirenti, Fabio; Cerquitelli, Tania; Baralis, Elena Maria; Cagliero, Luca

    2014-01-01

    Thanks to the rapid advances in Internet-based applications, data acquisition and storage technologies, petabyte-sized network data collections are becoming more and more common, thus prompting the need for scalable data analysis solutions. By leveraging today's ubiquitous many-core computer architectures and the increasingly popular cloud computing paradigm, the applicability of data mining algorithms to these large volumes of network data can be scaled up to gain interesting insights. This ...

  6. Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining

    OpenAIRE

    Djamel Bouchaffra; Abbes Amira; Ce Zhu; Chu-Song Chen

    2010-01-01

    Multimedia data mining and knowledge discovery is a fast emerging interdisciplinary applied research area. There is tremendous potential for effective use of multimedia data mining (MDM) through intelligent analysis. Diverse application areas are increasingly relying on multimedia under-standing systems. Advances in multimedia understanding are related directly to advances in signal processing, computer vision, machine learning, pattern recognition, multimedia databases, and smart sensors. Th...

  7. Modern geodesy approach in underground mining

    OpenAIRE

    Mijalkovski, Stojance; Despodov, Zoran; Gorgievski, Cvetan; Bogdanovski, Goran; Mirakovski, Dejan; Hadzi-Nikolova, Marija; Doneva, Nikolinka

    2013-01-01

    This paper presents overview of the development of modern geodesy approach in underground mining. Correct surveying measurements have great importance in mining, especially underground mining as well as a major impact on safety in the development of underground mining facilities.

  8. Colombia, mining country. Vision a year 2019

    International Nuclear Information System (INIS)

    Scope of the state action for the mining sector, the performance of the mining sector, regional perceptions of mining development, construction of a long-term vision for the mining sector, the action plan and goals follow-up

  9. Advances in knowledge discovery in databases

    CERN Document Server

    Adhikari, Animesh

    2015-01-01

    This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.  

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

    OpenAIRE

    Gupta, Richa

    2014-01-01

    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.

  11. Mining and the environment

    International Nuclear Information System (INIS)

    The proceedings contain 30 contributions, out of which 9 have been inputted in INIS. They are concerned with uranium mines and mills in the Czech Republic. The impacts of the mining activities and of the mill tailings on the environment and the population are assessed, and it is concluded that the radiation hazard does not exceed that from natural background. Considerable attention is paid to the monitoring of the surroundings of mines and mills and to landscaping activities. Proposed technologies for the purification of waste waters from the chemical leaching process are described. Ways to eliminate environmental damage from abandoned tailings settling ponds are suggested. (M.D.). 18 tabs., 21 figs., 43 refs

  12. Overview of solution mining

    International Nuclear Information System (INIS)

    This paper deals with in situ solution mining. A significant fraction of known U.S. uranium reserves occur as low grade mineralization in sedimentary sandstone deposits located between 40 and 200 meters subsurface. For a variety of reasons, such deposits may not be economically developable by any method other than in situ solution mining. This coupled with the current market price of uranium has led to significant development and application of in situ solution mining for uranium production during the past several years. The process consists of the ore body; well field; lixiviant; uranium recovery process; waste treatment processes; and aquifer restoration. A tabulation of firms involved with a summary of the leach chemistry used is given. 3 refs

  13. Data mining methods

    CERN Document Server

    Chattamvelli, Rajan

    2015-01-01

    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...

  14. Personal continuous route pattern mining

    Institute of Scientific and Technical Information of China (English)

    Qian YE; Ling CHEN; Gen-cai CHEN

    2009-01-01

    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.

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

    Science.gov (United States)

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

    2016-04-01

    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

  16. Databases for Data Mining

    OpenAIRE

    LANGOF, LADO

    2015-01-01

    This work is about looking for synergies between data mining tools and databa\\-se management systems (DBMS). Imagine a situation where we need to solve an analytical problem using data that are too large to be processed solely inside the main physical memory and at the same time too small to put data warehouse or distributed analytical system in place. The target area is therefore a single personal computer that is used to solve data mining problems. We are looking for tools that allows us to...

  17. Mining protein structure data

    OpenAIRE

    Santos, José Carlos Almeida

    2006-01-01

    The principal topic of this work is the application of data mining techniques, in particular of machine learning, to the discovery of knowledge in a protein database. In the first chapter a general background is presented. Namely, in section 1.1 we overview the methodology of a Data Mining project and its main algorithms. In section 1.2 an introduction to the proteins and its supporting file formats is outlined. This chapter is concluded with section 1.3 which defines that main problem we...

  18. Mining multidimensional distinct patterns

    OpenAIRE

    Kubendranathan, Thusjanthan

    2010-01-01

    How do we find the dominant groups of customers in age, sex and location that were responsible for at least 85% of the sales of iPad, Macbook and iPhone? To answer such types of questions we introduce a novel data mining task – mining multidimensional distinct patterns (DPs). Given a multidimensional data set where each tuple carries some attribute values and a transaction, multidimensional DPs are itemsets whose absolute support ratio in a group-by on the attributes against the rest of the d...

  19. Data mining mobile devices

    CERN Document Server

    Mena, Jesus

    2013-01-01

    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

  20. First aid at mines

    Energy Technology Data Exchange (ETDEWEB)

    1993-01-01

    This Code of Practice has been approved by the Health and Safety Commission with the consent of the Secretary of State under section 16 of the Health and Safety at Work etc. Act 1974. It gives practical guidance on the requirements placed on employers and self-employed persons by the Health and Safety (First-Aid) Regulations 1981 as they now apply to mines and comes into effect on 1 October 1993 which is the date on which the Management and Administration of Safety and Health at Mines Regulations 1993 come into force.

  1. Blockchain Mining Games

    OpenAIRE

    Kiayias, Aggelos; Koutsoupias, Elias; Kyropoulou, Maria; Tselekounis, Yiannis

    2016-01-01

    We study the strategic considerations of miners participating in the bitcoin's protocol. We formulate and study the stochastic game that underlies these strategic considerations. The miners collectively build a tree of blocks, and they are paid when they create a node (mine a block) which will end up in the path of the tree that is adopted by all. Since the miners can hide newly mined nodes, they play a game with incomplete information. Here we consider two simplified forms of this game in wh...

  2. Data mining for dummies

    CERN Document Server

    Brown, Meta S

    2014-01-01

    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

  3. Pervasive data mining engine

    OpenAIRE

    Peixoto, Rui Daniel Ferreira

    2015-01-01

    Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação As ferramentas de Data Mining atuais necessitam de um conhecimento aprofundado na área para obter resultados otimizados. Esta dissertação apresenta como questão de investigação analisar “A viabilidade da construção de um sistema de Data Mining semiautónomo com características pervasive, sem perder a sua identidade e funcionalidades” e como objetivo desenvolver um protótipo de um sistema designado Pervasive D...

  4. A Data Mining Approach to Modelling of Water Supply Assets

    DEFF Research Database (Denmark)

    Babovic, V.; Drecourt, J.; Keijzer, M.;

    2002-01-01

    supply assets are mainly situated underground, and therefore not visible and under the influence of various highly unpredictable forces. This paper proposes the use of advanced data mining methods in order to determine the risks of pipe bursts. For example, analysis of the database of already occurred...

  5. A Demonstration of Regression False Positive Selection in Data Mining

    Science.gov (United States)

    Pinder, Jonathan P.

    2014-01-01

    Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…

  6. Mining Students' Inquiry Actions for Understanding of Complex Systems

    Science.gov (United States)

    Levy, Sharona T.; Wilensky, Uri

    2011-01-01

    This study lies at an intersection between advancing educational data mining methods for detecting students' knowledge-in-action and the broader question of how conceptual and mathematical forms of knowing interact in exploring complex chemical systems. More specifically, it investigates students' inquiry actions in three computer-based models of…

  7. Assessment of the Environmental Regulatory Framework of the Mining Sector

    OpenAIRE

    World Bank

    2010-01-01

    In Nigeria, up to now mining activities have systematically escaped environmental control. In 1989, the Government of Nigeria issue the document "national policy on the environment", which was revised in 1999 in response to the advances in knowledge and the need of integrating development issues concerning all sectors of the economy. The new environmental policy goals followed the sustaine...

  8. WIRELESS MINE WIDE TELECOMMUNICATIONS TECHNOLOGY

    International Nuclear Information System (INIS)

    Two industrial prototype units for through-the-earth wireless communication were constructed and tested. Preparation for a temporary installation in NIOSH's Lake Lynn mine for the through-the-earth and the in-mine system were completed. Progress was made in the programming of the in-mine system to provide data communication. Work has begun to implement a wireless interface between equipment controllers and our in-mine system

  9. Neural Networks in Data Mining

    OpenAIRE

    Priyanka Gaur

    2012-01-01

    The application of neural networks in the data mining is very wide. Although neural networks may have complex structure, long training time, and uneasily understandable representation of results, neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data mining. In this paper the data mining based on neural networks is researched in detail, and the key technology and ways to achieve the data mining based on neural networks are also researched.

  10. Capture and Use of Coal Mine Ventilation Air Methane

    Energy Technology Data Exchange (ETDEWEB)

    Deborah Kosmack

    2008-10-31

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

  11. DATA MINING TECHNIQUES AND APPLICATIONS

    OpenAIRE

    . Ramageri; Bharati M.

    2010-01-01

    Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms and some of the organizations which have adapted data mining technology to improve their businesses and found excellent results.

  12. Diamonds: Exploration, mines and marketing

    Science.gov (United States)

    Read, George H.; Janse, A. J. A. (Bram)

    2009-11-01

    The beauty, value and mystique of exceptional quality diamonds such as the 603 carat Lesotho Promise, recovered from the Letseng Mine in 2006, help to drive a multi-billion dollar diamond exploration, mining and marketing industry that operates in some 45 countries across the globe. Five countries, Botswana, Russia, Canada, South Africa and Angola account for 83% by value and 65% by weight of annual diamond production, which is mainly produced by four major companies, De Beers, Alrosa, Rio Tinto and BHP Billiton (BHPB), which together account for 78% by value and 72% by weight of annual diamond production for 2007. During the last twelve years 16 new diamond mines commenced production and 4 re-opened. In addition, 11 projects are in advanced evaluation and may begin operations within the next five years. Exploration for diamondiferous kimberlites was still energetic up to the last quarter of 2008 with most work carried out in Canada, Angola, Democratic Republic of the Congo (DRC) and Botswana. Many kimberlites were discovered but no new economic deposits were outlined as a result of this work, except for the discovery and possible development of the Bunder project by Rio Tinto in India. Exploration methods have benefitted greatly from improved techniques of high resolution geophysical aerial surveying, new research into the geochemistry of indicator minerals and further insights into the formation of diamonds and the relation to tectonic/structural events in the crust and mantle. Recent trends in diamond marketing indicate that prices for rough diamonds and polished goods were still rising up to the last quarter of 2008 and subsequently abruptly sank in line with the worldwide financial crisis. Most analysts predict that prices will rise again in the long term as the gap between supply and demand will widen because no new economic diamond discoveries have been made recently. The disparity between high rough and polished prices and low share prices of publicly

  13. 76 FR 63238 - Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines

    Science.gov (United States)

    2011-10-12

    ... Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines, published on August 31... Mining Machines in Underground Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION... Mining Machines in Underground Coal Mines. Due to requests from the public and to provide...

  14. Center for Advanced Separation Technology

    Energy Technology Data Exchange (ETDEWEB)

    Honaker, Rick

    2013-09-30

    The U.S. is the largest producer of mining products in the world. In 2011, U.S. mining operations contributed a total of $232 billion to the nation’s GDP plus $138 billion in labor income. Of this the coal mining industry contributed a total of $97.5 billion to GDP plus $53 billion in labor income. Despite these contributions, the industry has not been well supported with research and development funds as compared to mining industries in other countries. To overcome this problem, the Center for Advanced Separation Technologies (CAST) was established to develop technologies that can be used by the U.S. mining industry to create new products, reduce production costs, and meet environmental regulations. Originally set up by Virginia Tech and West Virginia University, CAST is now a five-university consortium – Virginia Tech, West Virginia University, University of Kentucky, University of Utah and Montana Tech, - that is supported through U.S. DOE Cooperative Agreement No. DE-FE0000699, Center for Advanced Separation Technology. Much of the research to be conducted with Cooperative Agreement funds will be longer term, high-risk, basic research and will be carried out in two broad areas: Advanced Pre-Combustion Clean Coal Technologies and Gas-Gas Separations. Distribution of funds is handled via competitive solicitation of research proposals through Site Coordinators at the five member universities. These were reviewed and the selected proposals were forwarded these to the DOE/NETL Project Officer for final review and approval. The successful projects are listed below by category, along with abstracts from their final reports.

  15. Frequent pattern mining

    CERN Document Server

    Aggarwal, Charu C

    2014-01-01

    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

  16. Contextual Text Mining

    Science.gov (United States)

    Mei, Qiaozhu

    2009-01-01

    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…

  17. Lunabotics Mining Competition

    Science.gov (United States)

    Mueller, Rob; Murphy, Gloria

    2010-01-01

    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.

  18. Coal Mines Security System

    Directory of Open Access Journals (Sweden)

    Ankita Guhe

    2012-05-01

    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.

  19. Design and implementation of data mining tools

    CERN Document Server

    Thuraisingham, Bhavani; Awad, Mamoun

    2009-01-01

    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

  20. Mining and environment

    International Nuclear Information System (INIS)

    In order to obtain the best social and environmental results from mining activities, different solutions, which involve a variety of perspectives, have been proposed. These include the worldwide perspective based in the economy globalization paradigms; the regional perspective, focused in the integration of countries; the national perspective, which emphasizes the natural assets and development options, and finally a local perspective is incorporated to account for the participation of directly affected communities. Within this framework, the mining industry is requested to develop both technological and managerial tools appropriate to evaluate, optimize and communicate the social and environmental performance and output of its related activities, mainly in the developing countries. On the other hand, the governments have been committed to implement regulatory actions, of command and control type, based on an environmental legislation in line with the above mentioned perspectives and also to use economical instruments as a mean to accomplish environmental objectives. In Colombia the direct regulation methods have been traditionally used to prevent the environmental deterioration produced by mining activities, however, since the 1991 political constitution and the law 99 of 1993, the communities' participation and economical instruments were incorporated. A historic summary of the environmental legislation in our country from the early 70's up to now, showing its implications in mining is presented. Then a favorable tendency is indicated in the environmental improvement of the national extractive industry, accomplished as a result of the implementation of new strategies to minimize the impact of mining on the environment and to improve the well being of local communities

  1. Device for removing support gallery in mine

    Energy Technology Data Exchange (ETDEWEB)

    Student, Z.; Lubszczyk, B.; Poloczek, E.; Trelenberg, P.; Zurawski, Z.

    1981-02-20

    Device for removing arch-type mine timbering has a trough-like shape and contains a power hydrocylinder that's attached to the regulating screw which is displaced at the opening of the cover plate. In this plate, at least two hook-shaped yokes have been located, which are fastened at the outer edge of the supports. The power hydrocylinder is operated by a manual hydro-pump on which a manometer has been mounted that signals condition of lock after screw connections have been removed. The regulating screw allows fastening of the power hydrocylinder from the inside of the supports in advance.

  2. Methods for Mining and Summarizing Text Conversations

    CERN Document Server

    Carenini, Giuseppe; Murray, Gabriel

    2011-01-01

    Due to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these "informal documents" to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods

  3. Economic impact of world mining

    International Nuclear Information System (INIS)

    Mining plays a vital role in the economic development of many countries. The emerging economies are now major players in the production and availability of key commodities such as copper (70%), bauxite (40%), iron ore and precious metals. Mining also has a positive impact on the economy of many countries. Another impact of mining can be measured in terms of employment opportunities and income generation. Commercial scale mining provides employment and skills transfer to more than 2 million workers. The multiplier effect increases this benefit by a factor of between 2 and 5. The World Bank Mining Department has carried out an in-depth study on economic and social impact of mining at the community level in Chile, Peru, Bolivia, Papua New Guinea and Mali. This study demonstrates that there are substantial social and economic benefits to the community. The most positive cases are related to the growth of local small- and micro-enterprise activities. However, mining remains controversial, as true sustainable development is not only a matter of financial flows. Mining has also been associated with a number of economic and social problems. As a result there are questions about the sustainability of the economic outcome of mining. The contribution of mining to sustainable development needs to be considered in terms of economic and technical viability, ecological sustainability and social equity. To achieve this, governments, mining companies and local communities must work together to address these issues. (author)

  4. Prediction and assessment of the disturbances of the coal mining in Kailuan to karst groundwater system

    Science.gov (United States)

    Sun, Wenjie; Wu, Qiang; Liu, Honglei; Jiao, Jian

    Coal resources and water resources play an essential and strategic role in the development of China's social and economic development, being the priority for China's medium and long technological development. As the mining of the coal extraction is increasingly deep, the mine water inrush of high-pressure confined karst water becomes much more a problem. This paper carried out research on the hundred-year old Kailuan coal mine's karst groundwater system. With the help of advanced Visual Modflow software and numerical simulation method, the paper assessed the flow field of karst water area under large-scale exploitation. It also predicted the evolution ofgroundwaterflow field under different mining schemes of Kailuan Corp. The result shows that two cones of depression are formed in the karst flow field of Zhaogezhuang mining area and Tangshan mining area, and the water levels in two cone centers are -270 m and -31 m respectively, and the groundwater generally flows from the northeast to the southwest. Given some potential closed mines in the future, the mine discharge will decrease and the water level of Ordovician limestone will increase slightly. Conversely, given increase of coal yield, the mine drainage will increase, falling depression cone of Ordovician limestone flow field will enlarge. And in Tangshan's urban district, central water level of the depression cone will move slightly towards north due to pumping of a few mines in the north.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2014-06-01

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

  6. A Survey of Association Rule Mining Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Anubha Sharma

    2012-08-01

    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.

  7. Mining of Business-Oriented Conversations at a Call Center

    Science.gov (United States)

    Takeuchi, Hironori; Nasukawa, Tetsuya; Watanabe, Hideo

    Recently it has become feasible to transcribe textual records from telephone conversations at call centers by using automatic speech recognition. In this research, we extended a text mining system for call summary records and constructed a conversation mining system for the business-oriented conversations at the call center. To acquire useful business insights from the conversational data through the text mining system, it is critical to identify appropriate textual segments and expressions as the viewpoints to focus on. In the analysis of call summary data using a text mining system, some experts defined the viewpoints for the analysis by looking at some sample records and by preparing the dictionaries based on frequent keywords in the sample dataset. However with conversations it is difficult to identify such viewpoints manually and in advance because the target data consists of complete transcripts that are often lengthy and redundant. In this research, we defined a model of the business-oriented conversations and proposed a mining method to identify segments that have impacts on the outcomes of the conversations and can then extract useful expressions in each of these identified segments. In the experiment, we processed the real datasets from a car rental service center and constructed a mining system. With this system, we show the effectiveness of the method based on the defined conversation model.

  8. The application of data mining methods

    OpenAIRE

    Geng, Xiaoli

    2011-01-01

    Data mining is becoming more and more important. The aim of this thesis is to study and research data mining, to clarify the background, knowledge and method of data mining, and research some specific areas applications. The aim is also to experiment with an open software by mining some sample data, to prove the advantage and convenience of data mining. This thesis first introduces the basic concepts of data mining, such as the definition of data mining, its basic function, common methods...

  9. MINING TOPOLOGICAL RELATIONSHIP PATTERNS FROM SPATIOTEMPORAL DATABASES

    Directory of Open Access Journals (Sweden)

    K.Venkateswara Rao

    2012-01-01

    Full Text Available Mining topological relationship patterns involve three aspects. First one is the discovery of geometric relationships like disjoint, cover, intersection and overlap between every pair of spatiotemporal objects. Second one is tracking the change of such relationships with time from spatiotemporal databases. Third one is mining the topological relationship patterns. Spatiotemporal databases deal with changes to spatial objects with time. The applications in this domain process spatial, temporal and attribute data elements to find the evolution of spatial objects and changes in their topological relationships with time. These advanced database applications require storing, management and processing of complex spatiotemporal data. In this paper we discuss a model-view-controller based architecture of the system, the design of spatiotemporal database and methodology for mining spatiotemporal topological relationship patterns. Prototype implementation of the system is carried out on top of open source object relational spatial database management system called postgresql and postgis. The algorithms are experimented on historical cadastral datasets that are created using OpenJump. The resulting topological relationship patterns are presented.

  10. Surface mine blasting near pressurized transmission pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Siskind, D.E.; Stagg, M.S.; Wiegand, J.E.; Schultz, D.L.

    1994-12-31

    The US Bureau of Mines and the State of Indiana cooperated with AMAX Coal Co. and its consultants to determine the effects of coal mine overburden blasting on nearby pipelines. Five pressurized 76-m pipeline sections were installed on the Minnehaha Mine highwall near Sullivan, IN, for testing to failure. Four 17- to 51-cm-diameter welded steel pipes and one 22-cm PVC pipe were monitored for vibration, strain, and pressure for a period of 6 months while production blasting advanced up to the test pipeline field. In contrast to previous studies of small-scale, close-in blasting for construction, these tests involved overburden blasts of up to 950 kg per delay in 31-cm blastholes. Analyses found low pipe responses, strains, and calculated stresses from even large blasts. Ground vibrations of 120 to 250 mm/s produced worst case strains that were about 25 pcts of the strains resulting from normal pipeline operations and calculated stresses of only about 10 to 18 pct of the ultimate tensile strength. No pressurization failures or permanent strains occurred even at vibration amplitudes of 600 mm/s.

  11. The potential of text mining in data integration and network biology for plant research: a case study on Arabidopsis

    OpenAIRE

    Van Landeghem, Sofie; De Bodt, Stefanie; Drebert, Zuzanna; Inzé, Dirk; Van de Peer, Yves

    2013-01-01

    Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of texts. However, only recently has advanced text mining methodology been implemented with sufficient computational power to process texts at a large scale. In this study, we assess the potential of large-scale text mining for plant biology res...

  12. Overlying strata movement rules and safety mining technology for the shallow depth seam proximity beneath a room mining goaf

    Institute of Scientific and Technical Information of China (English)

    Wang Fangtian; Zhang Cun; Zhang Xiaogang; Song Qi

    2015-01-01

    Aiming at the shallow depth seam proximity beneath a room mining goaf, due to that the shallow depth seam is exploited using the longwall mining and overlain by thin bedrock and thick loose sands, many accidents are likely to occur, including roof structure instability, roof step subsidence, damages of shield supports, and the face bumps triggered by the large area roof weighting, resulting in serious threats to the safety of underground miners and equipment. This paper analyses the overlying strata movement rules for the shallow seams using the physical simulation, the 3DEC numerical simulation and the field mea-surements. The results show that, in shallow seam mining, the overburden movement forms caved zone and fractured zone, the cracks develop continuously and reach the surface with the face advancing, and the development of surface cracks generally goes through four stages. With the application of loose blast-ing of residual pillars, reasonable mining height, and roof support and management, the safe, efficient and high recovery rate mining has been achieved in the shallow depth seam proximity beneath a room min-ing goaf.

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

    CERN Document Server

    Wendler, Tilo

    2016-01-01

    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.

  14. Mine Waste Disposal and Managements

    Energy Technology Data Exchange (ETDEWEB)

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

    1999-12-01

    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. Alma Data Mining Toolkit

    Science.gov (United States)

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

    2016-06-01

    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 (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.

  16. Ontario's uranium mining industry

    International Nuclear Information System (INIS)

    This report traces the Ontario uranium mining industry from the first discovery of uranium north of Sault Ste. Marie through the uranium boom of the 1950's when Elliot Lake and Bancroft were developed, the cutbacks of the 1960s, the renewed enthusiasm in exploration and development of the 1970s to the current position when continued production for the domestic market is assured. Ontario, with developed mines and operational expertise, will be in a position to compete for export markets as they reopen. The low level of expenditures for uranium exploration and the lack of new discoveries are noted. The report also reviews and places in perspective the development of policies and regulations governing the industry and the jurisdictional relationships of the Federal and Provincial governments

  17. Mining science data

    International Nuclear Information System (INIS)

    The data from Scientific simulations, observations, and experiments are now being measured in terabytes and will soon reach the petabyte regime. The size of the data, as well as its complexity, make it difficult to find useful information in the data. This is of course disconcerting to scientists who wonder about the science still undiscovered in the data. The Sapphire Scientific data mining project is addressing this concern by applying data mining techniques to problems ranging in size from a few megabytes to a hundred terabytes in a variety of domains. In this paper, we briefly describe our work in several applications, including the identification of key features for edge harmonic oscillations in the DIII-D tokamak, classification of orbits in a Poincare plot, and tracking of features of interest in experimental images

  18. Email Mining: A Survey

    Directory of Open Access Journals (Sweden)

    Pranjal S. Bogawar

    2012-01-01

    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.

  19. Action Rules Mining

    CERN Document Server

    Dardzinska, Agnieszka

    2013-01-01

    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...

  20. Phosphate Mines, Jordan

    Science.gov (United States)

    2008-01-01

    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.

  1. Email Mining: A Survey

    OpenAIRE

    Pranjal S. Bogawar; Kishor K. Bhoyar

    2012-01-01

    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. Va...

  2. Mining unstructured software data

    OpenAIRE

    Bacchelli, Alberto; Lanza, Michele

    2013-01-01

    Our thesis is that the analysis of unstructured data supports software understanding and evolution analysis, and complements the data mined from structured sources. To this aim, we implemented the necessary toolset and investigated methods for exploring, exposing, and exploiting unstructured data.To validate our thesis, we focused on development email data. We found two main challenges in using it to support program comprehension and software development: The disconnection between emai...

  3. Text Mining: (Asynchronous Sequences

    Directory of Open Access Journals (Sweden)

    Sheema Khan

    2014-12-01

    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.

  4. Study of Spanish mining accidents using data mining techniques

    OpenAIRE

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

    2015-01-01

    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...

  5. Evolution of Acid Mine Drainage Formation in Sulphidic Mine Tailings

    OpenAIRE

    Bernhard Dold

    2014-01-01

    Sulphidic mine tailings are among the largest mining wastes on Earth and are prone to produce acid mine drainage (AMD). The formation of AMD is a sequence of complex biogeochemical and mineral dissolution processes. It can be classified in three main steps occurring from the operational phase of a tailings impoundment until the final appearance of AMD after operations ceased: (1) During the operational phase of a tailings impoundment the pH-Eh regime is normally alkaline to neutral and reduci...

  6. Data Mining and Analysis

    Science.gov (United States)

    Samms, Kevin O.

    2015-01-01

    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.

  7. GIS and Urban Mining

    Directory of Open Access Journals (Sweden)

    Xuan Zhu

    2014-03-01

    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.

  8. Organizational Data Mining

    Science.gov (United States)

    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.

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

    Institute of Scientific and Technical Information of China (English)

    SHAO Liang-shan; FU Gui-xiang

    2008-01-01

    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.

  10. Text mining library for Orange data mining suite

    OpenAIRE

    Novak, David

    2016-01-01

    We have developed a text mining system that can be used as an add-on for Orange, a data mining platform. Orange envelops a set of supervised and unsupervised machine learning methods that benefit a typical text mining platform and therefore offers an excellent foundation for development. We have studied the field of text mining and reviewed several open-source toolkits to define its base components. We have included widgets that enable retrieval of data from remote repositories, such as PubMe...

  11. Sweeping changes for mine warfare : controlling the mine threat

    OpenAIRE

    Cashman, T. Michael

    1994-01-01

    This thesis proposes that the U.S. Navy deter and, if necessary, combat potential minelayers by pursuing a pro-active' offensive mine warfare strategy. Central to this proposed strategy is the development, acquisition, and use of Remote Controlled (RECO) mines. It is argued that, given the historical problems the United States has had in the area of naval mine warfare, a strategy aimed at the aggressive deterrence of enemy mine laying be embraced so as to project forces ashore in future amphi...

  12. Analysis on Underground Coal Mining Subsidence Using Small Baseline InSAR in Yunjialing Mining Areas

    Science.gov (United States)

    Yan, Dapeng; Yang, Jin; Zeng, Qiming

    2013-01-01

    66.6 percent of China's energy production come from underground coal mining (fig. 1.) Hundreds of mining cities were affected by mining subsidence. Long-term underground mining activities ,which results in large areas of mined areas, are threatening the local ecological environment and people property.Coal mining development has become a major factor of restricting local economic and threatening the safety of future mine production. The research on mining subsidence takes a important practical significance.

  13. Economics of mining law

    Science.gov (United States)

    Long, K.R.

    1995-01-01

    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

  14. 30 CFR 819.21 - Auger mining: Protection of underground mining.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Auger mining: Protection of underground mining. 819.21 Section 819.21 Mineral Resources OFFICE OF SURFACE MINING RECLAMATION AND ENFORCEMENT... STANDARDS-AUGER MINING § 819.21 Auger mining: Protection of underground mining. Auger holes shall not...

  15. 30 CFR 77.1712 - Reopening mines; notification; inspection prior to mining.

    Science.gov (United States)

    2010-07-01

    ... 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...

  16. Strategy for polymetallic nodule mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    Strategy for Polymetallic Nodule Mining Rahul Sharma Introduction Mining of nearshore and shallow water minerals on a commercial scale l as well as the exploration of deep seabed minerals is being extensively carried out by various countries ..lid wns... revenues, and providing preferential technical assistance to developing countries adversely affected by seabed production to help them broaden their economic base. Strategy for nodule mining A long term strategy needs to be worked out for large-scale nodule...

  17. Modern developments in image mining

    Institute of Scientific and Technical Information of China (English)

    Alfred; STEIN

    2008-01-01

    This paper presents some new developments in image mining. Image mining con-siders the chain from object identification from remote sensing images through modeling,tracking on a series of images and prediction,towards communication to stakeholders. Attention is given to image mining for vague and uncertain objects. Aspects of up-and down-scaling are addressed. We further consider in this paper both spatial interpolation and decision making. The paper is illustrated with several case studies.

  18. Sustainable Development in Estonian Mining

    OpenAIRE

    Šommet, J

    2013-01-01

    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 susta...

  19. Text Mining Infrastructure in R

    OpenAIRE

    Kurt Hornik; Ingo Feinerer; David Meyer

    2008-01-01

    During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining facilities in R and explain how typical application tasks can be carried out using our framework. We present techniques for count-based analysis methods, text clustering, text classiffication and string kernels. (authors' abstract)

  20. Advances in Intelligence and Security Informatics

    CERN Document Server

    Mao, Wenji

    2012-01-01

    The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Traditionally, Intelligence and Security Informatics (ISI) research and applications have focused on information sharing and data mining, social network analysis, infrastructure protection and emergency responses for security informatics. With the continuous advance of IT technologies and the increasing sophistication of national and international securi

  1. Data mining applications in healthcare.

    Science.gov (United States)

    Koh, Hian Chye; Tan, Gerald

    2005-01-01

    Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship management decisions, physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services. The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. This article explores data mining applications in healthcare. In particular, it discusses data mining and its applications within healthcare in major areas such as the evaluation of treatment effectiveness, management of healthcare, customer relationship management, and the detection of fraud and abuse. It also gives an illustrative example of a healthcare data mining application involving the identification of risk factors associated with the onset of diabetes. Finally, the article highlights the limitations of data mining and discusses some future directions. PMID:15869215

  2. Sentiment Analysis and Opinion Mining

    CERN Document Server

    Liu, Bing

    2012-01-01

    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

  3. Managing and Mining Graph Data

    CERN Document Server

    Aggarwal, Charu C

    2010-01-01

    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

  4. An affordable humanitarian mine detector

    Science.gov (United States)

    Daniels, David J.; Curtis, Paul; Amin, Rajan; Dittmer, Jon

    2004-09-01

    This paper describes the further development of the MINETECT affordable humanitarian mine detector produced by ERA Technology with sponsorship from the UK Department for International Development. Using a radically different patented approach from conventional ground penetrating radar (GPR) designs in terms of the man machine interface, MINETECT offers simplicity of use and affordability, both key factors in humanitarian demining operations. Following trials in 2002 and reported at SPIE 2002, further development work including research on classifying mines, based on data from planned trials in the United Kingdom, is presented. MINETECT has the capability of detecting completely non-metallic mines and offers a considerable improvement in hand-held mine detection.

  5. OntoGene web services for biomedical text mining.

    Science.gov (United States)

    Rinaldi, Fabio; Clematide, Simon; Marques, Hernani; Ellendorff, Tilia; Romacker, Martin; Rodriguez-Esteban, Raul

    2014-01-01

    Text mining services are rapidly becoming a crucial component of various knowledge management pipelines, for example in the process of database curation, or for exploration and enrichment of biomedical data within the pharmaceutical industry. Traditional architectures, based on monolithic applications, do not offer sufficient flexibility for a wide range of use case scenarios, and therefore open architectures, as provided by web services, are attracting increased interest. We present an approach towards providing advanced text mining capabilities through web services, using a recently proposed standard for textual data interchange (BioC). The web services leverage a state-of-the-art platform for text mining (OntoGene) which has been tested in several community-organized evaluation challenges,with top ranked results in several of them. PMID:25472638

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

    Institute of Scientific and Technical Information of China (English)

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

    2012-01-01

    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.

  7. VRLane: a desktop virtual safety management program for underground coal mine

    Science.gov (United States)

    Li, Mei; Chen, Jingzhu; Xiong, Wei; Zhang, Pengpeng; Wu, Daozheng

    2008-10-01

    VR technologies, which generate immersive, interactive, and three-dimensional (3D) environments, are seldom applied to coal mine safety work management. In this paper, a new method that combined the VR technologies with underground mine safety management system was explored. A desktop virtual safety management program for underground coal mine, called VRLane, was developed. The paper mainly concerned about the current research advance in VR, system design, key techniques and system application. Two important techniques were introduced in the paper. Firstly, an algorithm was designed and implemented, with which the 3D laneway models and equipment models can be built on the basis of the latest mine 2D drawings automatically, whereas common VR programs established 3D environment by using 3DS Max or the other 3D modeling software packages with which laneway models were built manually and laboriously. Secondly, VRLane realized system integration with underground industrial automation. VRLane not only described a realistic 3D laneway environment, but also described the status of the coal mining, with functions of displaying the run states and related parameters of equipment, per-alarming the abnormal mining events, and animating mine cars, mine workers, or long-wall shearers. The system, with advantages of cheap, dynamic, easy to maintenance, provided a useful tool for safety production management in coal mine.

  8. Application Study on the Dynamic Prediction Model for Determining the Mining Subsidence

    Directory of Open Access Journals (Sweden)

    H.F. HU

    2016-04-01

    Full Text Available The movement and deformation of the overlying strata and surface induced by underground mining are processes involving temporal and spatial changes, which, in turn, cause damage to buildings. Estimating the dynamic ground movement and deformation is important to ascertain the damage degree of buildings. To predict the dynamic ground subsidence caused by underground coal mining and protect ground buildings from dynamic damage, a dynamic prediction model was established to calculate ground deformation. A derivation of the dynamic subsidence prediction model based on Knothe’s dynamic subsidence hypothesis and Litwiniszyn's stochastic medium theory was proposed under the conditions of constant advancing speed mining and post-mining. The composition and significance of the dynamic model were analyzed and provided a basis for calculating the dynamics and programming implementation. Through case studies, the dynamic prediction model was verified and the expected results were obtained during mining and post-mining. Results showed the dynamic prediction model is fit for the normal geological condition of mining but is limited for the special geological condition, that is, thick loose layer and thick bedrock. The study can meet the demand of protecting ground buildings from deformation caused by underground mining. The proposed model solves the time issue in mining subsidence prediction.

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

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    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.

  10. 07491 Executive Summary -- Mining Programs and Processes

    OpenAIRE

    Bernstein, Abraham; Gall, Harald; Zeller, Andreas

    2009-01-01

    The main goal of the seminar "Mining Programs and Processes" was to create a synergy between researchers of three communities, namely mining software repositories, data mining and machine learning, and empirical software engineering.

  11. SIAM 2007 Text Mining Competition dataset

    Data.gov (United States)

    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...

  12. Advanced Ceramics

    International Nuclear Information System (INIS)

    The First Florida-Brazil Seminar on Materials and the Second State Meeting about new materials in Rio de Janeiro State show the specific technical contribution in advanced ceramic sector. The others main topics discussed for the development of the country are the advanced ceramic programs the market, the national technic-scientific capacitation, the advanced ceramic patents, etc. (C.G.C.)

  13. Distributed Data Mining and Mining Multi-Agent Data

    Directory of Open Access Journals (Sweden)

    Dr. S Vidyavathi

    2010-07-01

    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.

  14. Mining Frequent Max and Closed Sequential Patterns

    OpenAIRE

    Afshar, Ramin

    2002-01-01

    Although frequent sequential pattern mining has an important role in many data mining tasks, however, it often generates a large number of sequential patterns, which reduces its efficiency and effectiveness. For many applications mining all the frequent sequential patterns is not necessary, and mining frequent Max, or Closed sequential patterns will provide the same amount of information. Comparing to frequent sequential pattern mining, frequent Max, or Closed sequential pattern mining g...

  15. The French experience of post mining management

    OpenAIRE

    Didier, Christophe; Leloup, Jacques

    2006-01-01

    International audience; During the period, which follows mining exploitation, traditionally called "post-mining", many disorders may develop, sometimes just after mine closure but sometimes quite long time later. In addition to potential instability development (subsidence, collapses), some abandoned mining sites can be affected by severe hydrogeological disturbances (floods), dangerous mine gas emissions on surface or environmental degradation. The paper presents the French mining historical...

  16. Metodologias de Data Mining.

    OpenAIRE

    Mendes, Armando B.

    2011-01-01

    "Para se compreender o que é mais este termo criado pela indústria das novas tecnologias, pode começar-se por esclarecer o que não é. Certamente "data mining" não são simples consultas de bases de dados ou as tecnologias de integração de dados em bases de dados multidimensionais ou cubos de dados, ou mesmo um conjunto de algoritmos como redes neuronais, algoritmos genéticos, métodos estatísticos, etc.. A prospecção de dados é um processo ou uma metodologia para a descoberta de conhecimento qu...

  17. Hydraulic mining method

    Science.gov (United States)

    Huffman, Lester H.; Knoke, Gerald S.

    1985-08-20

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

  18. Solutions for Mining Distributed Scientific Data

    Science.gov (United States)

    Lynnes, C.; Pham, L.; Graves, S.; Ramachandran, R.; Maskey, M.; Keiser, K.

    2007-12-01

    Researchers at the University of Alabama in Huntsville (UAH) and the Goddard Earth Sciences Data and Information Services Center (GES DISC) are working on approaches and methodologies facilitating the analysis of large amounts of distributed scientific data. Despite the existence of full-featured analysis tools, such as the Algorithm Development and Mining (ADaM) toolkit from UAH, and data repositories, such as the GES DISC, that provide online access to large amounts of data, there remain obstacles to getting the analysis tools and the data together in a workable environment. Does one bring the data to the tools or deploy the tools close to the data? The large size of many current Earth science datasets incurs significant overhead in network transfer for analysis workflows, even with the advanced networking capabilities that are available between many educational and government facilities. The UAH and GES DISC team are developing a capability to define analysis workflows using distributed services and online data resources. We are developing two solutions for this problem that address different analysis scenarios. The first is a Data Center Deployment of the analysis services for large data selections, orchestrated by a remotely defined analysis workflow. The second is a Data Mining Center approach of providing a cohesive analysis solution for smaller subsets of data. The two approaches can be complementary and thus provide flexibility for researchers to exploit the best solution for their data requirements. The Data Center Deployment of the analysis services has been implemented by deploying ADaM web services at the GES DISC so they can access the data directly, without the need of network transfers. Using the Mining Workflow Composer, a user can define an analysis workflow that is then submitted through a Web Services interface to the GES DISC for execution by a processing engine. The workflow definition is composed, maintained and executed at a distributed

  19. Data mining and knowledge discovery for big data methodologies, challenge and opportunities

    CERN Document Server

    2014-01-01

    The field of data mining has made significant and far-reaching advances over the past three decades.  Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease.  Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining da...

  20. Environmental control technology for mining, milling, and refining thorium

    Energy Technology Data Exchange (ETDEWEB)

    Weakley, S.A.; Blahnik, D.E.; Young, J.K.; Bloomster, C.H.

    1980-02-01

    The purpose of this report is to evaluate, in terms of cost and effectiveness, the various environmental control technologies that would be used to control the radioactive wastes generated in the mining, milling, and refining of thorium from domestic resources. The technologies, in order to be considered for study, had to reduce the radioactivity in the waste streams to meet Atomic Energy Commission (10 CFR 20) standards for natural thorium's maximum permissible concentration (MPC) in air and water. Further regulatory standards or licensing requirements, either federal, state, or local, were not examined. The availability and cost of producing thorium from domestic resources is addressed in a companion volume. The objectives of this study were: (1) to identify the major waste streams generated during the mining, milling, and refining of reactor-grade thorium oxide from domestic resources; and (2) to determine the cost and levels of control of existing and advanced environmental control technologies for these waste streams. Six potential domestic deposits of thorium oxide, in addition to stockpiled thorium sludges, are discussed in this report. A summary of the location and characteristics of the potential domestic thorium resources and the mining, milling, and refining processes that will be needed to produce reactor-grade thorium oxide is presented in Section 2. The wastes from existing and potential domestic thorium oxide mines, mills, and refineries are identified in Section 3. Section 3 also presents the state-of-the-art technology and the costs associated with controlling the wastes from the mines, mills, and refineries. In Section 4, the available environmental control technologies for mines, mills, and refineries are assessed. Section 5 presents the cost and effectiveness estimates for the various environmental control technologies applicable to the mine, mill, and refinery for each domestic resource.

  1. Environmental control technology for mining, milling, and refining thorium

    International Nuclear Information System (INIS)

    The purpose of this report is to evaluate, in terms of cost and effectiveness, the various environmental control technologies that would be used to control the radioactive wastes generated in the mining, milling, and refining of thorium from domestic resources. The technologies, in order to be considered for study, had to reduce the radioactivity in the waste streams to meet Atomic Energy Commission (10 CFR 20) standards for natural thorium's maximum permissible concentration (MPC) in air and water. Further regulatory standards or licensing requirements, either federal, state, or local, were not examined. The availability and cost of producing thorium from domestic resources is addressed in a companion volume. The objectives of this study were: (1) to identify the major waste streams generated during the mining, milling, and refining of reactor-grade thorium oxide from domestic resources; and (2) to determine the cost and levels of control of existing and advanced environmental control technologies for these waste streams. Six potential domestic deposits of thorium oxide, in addition to stockpiled thorium sludges, are discussed in this report. A summary of the location and characteristics of the potential domestic thorium resources and the mining, milling, and refining processes that will be needed to produce reactor-grade thorium oxide is presented in Section 2. The wastes from existing and potential domestic thorium oxide mines, mills, and refineries are identified in Section 3. Section 3 also presents the state-of-the-art technology and the costs associated with controlling the wastes from the mines, mills, and refineries. In Section 4, the available environmental control technologies for mines, mills, and refineries are assessed. Section 5 presents the cost and effectiveness estimates for the various environmental control technologies applicable to the mine, mill, and refinery for each domestic resource

  2. Geological uncertainty and risk: implications for the viability of mining projects

    Institute of Scientific and Technical Information of China (English)

    LI Shu-xing; Peter Knights; Doug Dunn

    2008-01-01

    Computerized geological models are the basis of modem mine design, planning and production. A sound, validated geological model is essential to the success of a mining project. However, due to the complexity of geology surrounding deposits, geological models inherit uncertainty, or error. This geological uncertainty may significantly affect the risk profile of a mining project during its design and operational phases. Methodologies for quantifying geological uncertainty and risk have been developed by CRC Mining and the University of Queensland, Australia and successfully applied to case studies. This paper discussed the implications of geological uncertainty and risk to a coal mining project, and presents advances for quantifying geological/geotechnical uncertainty and risk. A case study is presented to demonstrate the application of the technology developed.

  3. Research on relations between failure heights of overburden strata and mining face parameters and forecasting method

    Institute of Scientific and Technical Information of China (English)

    YIN Zeng-de; YANG Gui

    2007-01-01

    The commercial FEM software ANSYS was used to analyze the failure characteristics of overburden strata under the conditions of different lengths of mining faces. It was shown that the parameters of mining faces, especially the length was the important factor to the failure heights and shapes of overburden strata. Fuzzy mathematics and statistical methods were used to analyze the forecasting method of the failure height of overburden strata influenced by the parameters of mining face based on the measured data under the conditions of fully-mechanized mining of general hardness cover rocks. On the basis of these analyses, a new forecasting formula was gotten. The forecasting result conforms to the in situ measured value. The result has a very important application value in safe and high-efficient mining, and has a very important advancing function to theoretical studies.

  4. Landfill mining: Development of a cost simulation model.

    Science.gov (United States)

    Wolfsberger, Tanja; Pinkel, Michael; Polansek, Stephanie; Sarc, Renato; Hermann, Robert; Pomberger, Roland

    2016-04-01

    Landfill mining permits recovering secondary raw materials from landfills. Whether this purpose is economically feasible, however, is a matter of various aspects. One is the amount of recoverable secondary raw material (like metals) that can be exploited with a profit. Other influences are the costs for excavation, for processing the waste at the landfill site and for paying charges on the secondary disposal of waste. Depending on the objectives of a landfill mining project (like the recovery of a ferrous and/or a calorific fraction) these expenses and revenues are difficult to assess in advance. This situation complicates any previous assessment of the economic feasibility and is the reason why many landfills that might be suitable for landfill mining are continuingly operated as active landfills, generating aftercare costs and leaving potential hazards to later generations. This article presents a newly developed simulation model for landfill mining projects. It permits identifying the quantities and qualities of output flows that can be recovered by mining and by mobile on-site processing of the waste based on treatment equipment selected by the landfill operator. Thus, charges for disposal and expected revenues from secondary raw materials can be assessed. Furthermore, investment, personnel, operation, servicing and insurance costs are assessed and displayed, based on the selected mobile processing procedure and its throughput, among other things. For clarity, the simulation model is described in this article using the example of a real Austrian sanitary landfill. PMID:26858240

  5. Optimization of Lung Cancer using Modern Data Mining Techniques

    Directory of Open Access Journals (Sweden)

    T. Sowmiya, M. Gopi, M. New Begin, L. Thomas Robinson

    2014-05-01

    Full Text Available Now a day the most dangerous diseases in the world are Cancer. Lung cancer is one of the most dangerous cancer types in the world. These diseases can spread worldwide by uncontrolled cell growth in the tissues of the lung. Early detection of the cancer can save the life and survivability of the patients who affected by this diseases. In this paper we survey several aspects of data mining procedures which are used for lung cancer prediction for the patients. Data mining concepts is useful in lung cancer classification. We also reviewed the aspects of ant colony optimization (ACO technique in data mining. Ant colony optimization helps in increasing or decreasing the disease prediction value of the diseases. This case study assorted data mining and ant colony optimization techniques for appropriate rule generation and classifications on diseases, which pilot to exact Lung cancer classifications. In additionally to, it provides basic framework for further improvement in medical diagnosis on lung cancer. Our Proposed idea for the lung cancer optimization on data mining is by using the (ROCO method. We use reduced-order constrained optimization (ROCO to create clinically acceptable IMRT plans quickly and automatically for advanced lung cancer patients Diagnosis. Our new ROCO implementations works with the treatment planning system and full dose calculations

  6. The landscape degradation in the mining sites with suspended activity

    Directory of Open Access Journals (Sweden)

    Anca IONCE

    2009-08-01

    Full Text Available The extracting industry, through its extraction activities, of shipping the ores, of breaking the ores, of preparing the practical substances, of stowing the useless rock, of transporting the practical substances, etc. might modify the area’s relief and the quality of ground, of thesurface waters and of the air. Suceava County has an old tradition of mining, where the results of this activity are visible, especially the visual point of view, and where not taking certain measures of ecological remediation will emphasize the disappointing image of the landscape within the areas of mining activity performing.The predominant mountainous landscape, in which mining activities have been held, is being affected also by the abandoned industrial and administrative buildings, in an advanced degradation state.The hydrographic system, very rich in mining areas, has its water quality affected by the acid rock drainage- phenomenon which appeared in many mining waste deposits.

  7. History of Miike mine; Miike tanko gijutsu no sokuseki

    Energy Technology Data Exchange (ETDEWEB)

    Kodama, K. [Mitsui Mining Co. Ltd., Tokyo (Japan)

    1997-06-20

    Miike mine came to a close in March, 1997. This report looks back at its long history from a technological points of view. Before the Meiji era, coal from the Miike mine was used to produce salt in Kyushu and Setouchi, burned in the Nirayama reverberating furnace, and supplied to Mathew Calbraith Perry`s fleet visiting Japan. After the Restoration of Meiji, the mine was placed under the Government who mechanized it for increased production in the European fashion. The ownership was later transferred to private companies who advanced to exploit mines at other locations, adopted steam-driven drainage pumps to deal with gushing ground water, and improved transportation means and harbor facilities. The First World War triggered off the application of chemical knowhow to coal, which resulted in the production of coke by carbonization, preparation of ammonium sulfate from gas liquor, and chemical dyes and explosives from tar. A volume of gas produced during coal carbonization was effectively used to drive gas engines for company power generation (some for security). As the production scale enlarged, a pit reached a level as deep as 424m in the sea bottom, conveyers were provided in inclined pits, and a 191m-deep vertical exhaust pit for an artificial isle and a 506m-deep air intake pit were constructed, one after the other. During the 110 years under non-Government management, a total of 289,412,000 ton of coal was mined. 4 figs.

  8. Data mining in healthcare: decision making and precision

    Directory of Open Access Journals (Sweden)

    Ionuţ ŢĂRANU

    2016-05-01

    Full Text Available The trend of application of data mining in healthcare today is increased because the health sector is rich with information and data mining has become a necessity. Healthcare organizations generate and collect large volumes of information to a daily basis. Use of information technology enables automation of data mining and knowledge that help bring some interesting patterns which means eliminating manual tasks and easy data extraction directly from electronic records, electronic transfer system that will secure medical records, save lives and reduce the cost of medical services as well as enabling early detection of infectious diseases on the basis of advanced data collection. Data mining can enable healthcare organizations to anticipate trends in the patient's medical condition and behaviour proved by analysis of prospects different and by making connections between seemingly unrelated information. The raw data from healthcare organizations are voluminous and heterogeneous. It needs to be collected and stored in organized form and their integration allows the formation unite medical information system. Data mining in health offers unlimited possibilities for analyzing different data models less visible or hidden to common analysis techniques. These patterns can be used by healthcare practitioners to make forecasts, put diagnoses, and set treatments for patients in healthcare organizations.

  9. Education Roadmap for Mining Professionals

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2002-12-01

    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.

  10. Coal Mine Methane in Russia

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2009-07-01

    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.

  11. Finding Gold in Data Mining

    Science.gov (United States)

    Flaherty, Bill

    2013-01-01

    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…

  12. Process Mining Online Assessment Data

    Science.gov (United States)

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

    2009-01-01

    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…

  13. Effective Mining of Protein Interactions

    OpenAIRE

    Rinaldi, F; Schneider, G; Kaljurand, K.; Clematide, S

    2009-01-01

    The detection of mentions of protein-protein interactions in the scientific literature has recently emerged as a core task in biomedical text mining. We present effective techniques for this task, which have been developed using the IntAct database as a gold standard, and have been evaluated in two text mining competitions.

  14. Deep underground mine without ventilation

    Energy Technology Data Exchange (ETDEWEB)

    Czubak, A. (Akademia Gorniczo-Hutnicza, Cracow (Poland))

    1991-09-01

    Considers the possibility of creating local air-conditioned spaces for reduced numbers of miners in deep mines instead of ventilating the whole mine space. Application of air-conditioned chambers (for rest) at depths of 600-1,400 m and work performed in individually cooled suits or executed with the aid of manipulators controlled from air-conditioned chambers at depths below 1,400 m is suggested. Advantages of operating a coal mine without ventilation are reviewed (simple mine structure, power savings, fire and explosion prevention by filling the whole mine space with nitrogen without the necessity of explosion-proof mining equipment). However, operating a mine without ventilation will require a high degree of mechanization, automatic machine control and application of robots. Miners could wear special cooled exposure suits. The method suggested is considered to be a solution to the problem of the thermal barrier in deep mining and to be cheaper than classical cooling of workings at depth. 5 refs.

  15. Groundwater impacts of solution mining

    International Nuclear Information System (INIS)

    In some cases the mining of certain minerals can be achieved without the large-scale excavations involved in open pit or shaft mining. Instead, water is used to liquify the desired mineral so that it can be readily removed without disturbing the host medium or intervening deposits. In Texas this solution mining technique is used in the mining of brines, sodium sulfate, sulfur, and uranium. The advantages stem from the nondisturbing nature of the method that leaves the surface and subsurface physically intact. This is advantageous not only during mining, but also upon its termination when there is a minimum restoration requirement of the terrain. However, in some cases these advantages may be somewhat offset when a considerable chemical restoration of a host aquifer is required. The situation is considerably different with the solution (in situ) mining of uranium since these deposits often occur in usable quality groundwater aquifers. There are twenty-eight permitted sites in Texas. Eight have not yet been mined. This paper discusses the solution mining of uranium in Texas

  16. Competitiveness of the mining sector

    International Nuclear Information System (INIS)

    The paper is based on the upgraded study of the evaluation of competitiveness of the Colombian mining sector, carried out for the UPME, in the year 2005, with base in this study, the conditions were examined offered for Colombia for the mining industry

  17. Lunabotics Mining Competition: Inspiration Through Accomplishment

    Science.gov (United States)

    Mueller, Robert P.

    2011-01-01

    NASA's Lunabotics Mining Competition is designed to promote the development of interest in space activities and STEM (Science, Technology, Engineering, and Mathematics) fields. The competition uses excavation, a necessary first step towards extracting resources from the regolith and building bases on the moon. The unique physical properties of lunar regolith and the reduced 1/6th gravity, vacuum environment make excavation a difficult technical challenge. Advances in lunar regolith mining have the potential to significantly contribute to our nation's space vision and NASA space exploration operations. The competition is conducted annually by NASA at the Kennedy Space Center Visitor Complex. The teams that can use telerobotic or autonomous operation to excavate a lunar regolith geotechnical simulant, herein after referred to as Black Point-1 (or BP-1) and score the most points (calculated as an average of two separate 10-minute timed competition attempts) will eam points towards the Joe Kosmo Award for Excellence and the scores will reflect ranking in the on-site mining category of the competition. The minimum excavation requirement is 10.0 kg during each competition attempt and the robotic excavator, referred to as the "Lunabot", must meet all specifications. This paper will review the achievements of the Lunabotics Mining Competition in 2010 and 2011, and present the new rules for 2012. By providing a framework for robotic design and fabrication, which culminates in a live competition event, university students have been able to produce sophisticated lunabots which are tele-operated. Multi-disciplinary teams are encouraged and the extreme sense of accomplishment provides a unique source of inspiration to the participating students, which has been shown to translate into increased interest in STEM careers. Our industrial sponsors (Caterpillar, Newmont Mining, Harris, Honeybee Robotics) have all stated that there is a strong need for skills in the workforce related

  18. Data mining and education.

    Science.gov (United States)

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

    2015-01-01

    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.

  19. Introduction to Space Resource Mining

    Science.gov (United States)

    Mueller, Robert P.

    2013-01-01

    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.

  20. The hydrogen mine introduction initiative

    Energy Technology Data Exchange (ETDEWEB)

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

    2009-07-01

    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.

  1. Web Mining and Social Networking

    DEFF Research Database (Denmark)

    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...

  2. Data mining and quality in service industry: review and some applications

    OpenAIRE

    Oliveira, Teresa; Oliveira, Amílcar

    2010-01-01

    In Service Industry the main goal of Data Mining is to improve the Quality of the interface and the interaction between the organization system and the respective costumers and needs. Now-a-days with the technological advances, a new challenge on exploring data and extrapolating patterns has emerged. Data mining, as an exploratory data analysis tool used in large and complex data sets, allow discovering new snippets of knowledge and patterns in these vast amounts of data, and this is very oft...

  3. Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II

    OpenAIRE

    Lu, Zhiyong; Hirschman, Lynette

    2012-01-01

    Manual curation of data from the biomedical literature is a rate-limiting factor for many expert curated databases. Despite the continuing advances in biomedical text mining and the pressing needs of biocurators for better tools, few existing text-mining tools have been successfully integrated into production literature curation systems such as those used by the expert curated databases. To close this gap and better understand all aspects of literature curation, we invited submissions of writ...

  4. Trading Consequences: A Case Study of Combining Text Mining & Visualisation to Facilitate Document Exploration

    OpenAIRE

    Hinrichs, Uta; Alex, Beatrice; Clifford, Jim; Quigley, Aaron

    2014-01-01

    Trading Consequences is an interdisciplinary research project between historians, computational linguists and visualization specialists. We use text mining and visualisations to explore the growth of the global commodity trade in the nineteenth century. Feedback from a group of environmental historians during a workshop provided essential information to adapt advanced text mining and visualisation techniques to historical research. Expert feedback is an essential tool for effective interdisci...

  5. Statistical data analytics foundations for data mining, informatics, and knowledge discovery

    CERN Document Server

    Piegorsch, Walter W

    2015-01-01

      A comprehensive introduction to statistical methods for data mining and knowledge discovery.Applications of data mining and 'big data' increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software.  This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basic

  6. Mining Critical Metals and Elements from Seawater: Opportunities and Challenges.

    Science.gov (United States)

    Diallo, Mamadou S; Kotte, Madhusudhana Rao; Cho, Manki

    2015-08-18

    The availability and sustainable supply of technology metals and valuable elements is critical to the global economy. There is a growing realization that the development and deployment of the clean energy technologies and sustainable products and manufacturing industries of the 21st century will require large amounts of critical metals and valuable elements including rare-earth elements (REEs), platinum group metals (PGMs), lithium, copper, cobalt, silver, and gold. Advances in industrial ecology, water purification, and resource recovery have established that seawater is an important and largely untapped source of technology metals and valuable elements. This feature article discusses the opportunities and challenges of mining critical metals and elements from seawater. We highlight recent advances and provide an outlook of the future of metal mining and resource recovery from seawater. PMID:25894365

  7. State of the drilling technology in the conventional tunelling in the target seam Zollverein 6 at the mine Auguste Victoria; Stand der Bohrtechnik im konventionellen Streckenvortrieb im Floezhorizont Zollverein 6 auf dem Bergwerk Auguste Victoria

    Energy Technology Data Exchange (ETDEWEB)

    Rossbach, Stefan [RAG Deutsche Steinkohle, Herne (Germany). Bergwerk Auguste Victoria; Andrzejewski, Michael [RAG Deutsche Steinkohle, Herne (Germany). Servicebereich Technik und Logistik; Gastberg, Ingolf [DMT GmbH und Co. KG, Essen (Germany). Wettertechnik

    2013-06-15

    The future mining activities and activities of advance at the mine Auguste Victoria mainly concentrate in the level of the target seam Zollverein 6. The achievement of a layer depth of nearly 1,400 m in connection with difficult geological conditions imposed particular demands on the planning, technology, organization and security in mining, so that appropriate adjustments were required in mining technology. The contribution under consideration reports on the process characteristics typical for conventional tunneling in the target seam Zollverein 6.

  8. Ground water quality protection, mining and mining facilities in Utah

    International Nuclear Information System (INIS)

    Utah' s around water resources are extremely important to the health and economic well-being of the state's citizens. As a state second only to Nevada in aridity it depends heavily on ground water sources for water for the public, industry, and agriculture. Ground water furnishes about 20% of the state's total water needs and 66% of the public supplies. To protect this water source for current and future users, Utah has developed a Ground Water Policy and initiated the development of a ground water quality protection strategy. Included in the strategy development process was an assessment of the effects that mining and associated activities can have on ground water Quality. The effect mining has on ground water quality depends on the ore and gangue minerals, the mining method, the ore processing, and the method of disposal for waste rock, tailings, and excess mine and mill waters. Sulfide minerals will oxidize to form soluble sulfates and sulfuric acid when exposed to air. Underground, open pit, and solution mines differ in their impact on ground water quality as do the different ore processing methods conventional, heap leach, solar evaporation, etc. Finally, the methods selected for waste disposal are a major determinant of the impact on ground water quality by mining operations. In the future mining companies will need to give increased consideration to protecting ground water and other resources by designing in features to protect these resources from degradation

  9. The theories and key technologies for the new generation mine wireless information system

    Energy Technology Data Exchange (ETDEWEB)

    Yang, W.; Feng, X.; Cheng, S.; Sun, J. [Beijing Jiaotong University, Beijing (China). Key Laboratory of ARP Optical Network and Advanced Telecommunication Network

    2004-07-01

    Breaking through the traditional mine wireless communication theories and technologies, combining advanced wireless communication technologies, wireless network technologies with optical fiber communication technologies have been proposed to construct a new generation mine wireless information system. This has a full range of functions such as managing mobile communications, vehicle positioning and navigation, personnel positioning and tracing, wireless multimedia surveillance, mobile computing and mine environment parameters monitoring. The relevant theories and key technologies were proposed. The urgency to do research work for China is stressed. 10 refs., 2 figs.

  10. 30 CFR Parts 70 and 75. Safety Standards for underground coal mine ventilation

    Energy Technology Data Exchange (ETDEWEB)

    1992-05-15

    This final rule revises the Mine Safety and Health Administration's (MSHA) existing safety standards for ventilation of underground coal mines. The revisions update existing provisions consistent with advances in mining technology, eliminate duplicative and unnecessary standards, and reduce paperwork requirements, where possible. The document gives background information of the rule and discusses each section of the rule in detail. A derivation table cross references the final rule with the existing standard numbers from which it is derived. A summary is given of the final Regulatory Impact Analysis, RIA 1219-AA11, for this rule.

  11. Predictive models for hospital bed management using data mining techniques

    OpenAIRE

    Oliveira, Sérgio Manuel Costa; Portela, Filipe; Santos, Manuel Filipe; Machado, José Manuel; Abelha, António

    2014-01-01

    Series : Advances in intelligent systems and computing, vol. 276 It is clear that the failures found in hospital management are usually related to the lack of information and insufficient resources management. The use of Data Mining (DM) can contribute to overcome these limitations in order to identify relevant data on patient’s management and providing important information for managers to support their decisions. Throughout this study, were induced DM models capable to ma...

  12. Factors affecting the use of data mining in Mozambique : Towards a framework to facilitate the use of data mining

    OpenAIRE

    Sotomane, Constantino

    2014-01-01

    Advances in technology have enabled organizations to collect a variety ofdata at high speed and provided the capacity to store them. As a result theamount of data available is increasing daily at a rapid rate. The data stored inorganizations hold important information to improve decision making andgain competitive advantage. To extract useful information from these hugeamounts of data, special techniques such as data mining are required. Datamining is a technique capable of extracting useful ...

  13. Advance care directives

    Science.gov (United States)

    ... advance directive; Do-not-resuscitate - advance directive; Durable power of attorney - advance care directive; POA - advance care directive; Health care agent - advance care directive; Health care proxy - ...

  14. Ensemble Methods in Data Mining Improving Accuracy Through Combining Predictions

    CERN Document Server

    Seni, Giovanni

    2010-01-01

    This book is aimed at novice and advanced analytic researchers and practitioners -- especially in Engineering, Statistics, and Computer Science. Those with little exposure to ensembles will learn why and how to employ this breakthrough method, and advanced practitioners will gain insight into building even more powerful models. Throughout, snippets of code in R are provided to illustrate the algorithms described and to encourage the reader to try the techniques. The authors are industry experts in data mining and machine learning who are also adjunct professors and popular speakers. Although e

  15. Uranium mining sites - Thematic sheets

    International Nuclear Information System (INIS)

    A first sheet proposes comments, data and key numbers about uranium extraction in France: general overview of uranium mining sites, status of waste rock and tailings after exploitation, site rehabilitation. The second sheet addresses the sources of exposure to ionizing radiations due to ancient uranium mining sites: discussion on the identification of these sources associated with these sites, properly due to mining activities or to tailings, or due to the transfer of radioactive substances towards water and to the contamination of sediments, description of the practice and assessment of radiological control of mining sites. A third sheet addresses the radiological exposure of public to waste rocks, and the dose assessment according to exposure scenarios: main exposure ways to be considered, studied exposure scenarios (passage on backfilled path and grounds, stay in buildings built on waste rocks, keeping mineralogical samples at home). The fourth sheet addresses research programmes of the IRSN on uranium and radon: epidemiological studies (performed on mine workers; on French and on European cohorts, French and European studies on the risk of lung cancer associated with radon in housing), study of the biological effects of chronic exposures. The last sheet addresses studies and expertises performed by the IRSN on ancient uranium mining sites in France: studies commissioned by public authorities, radioactivity control studies performed by the IRSN about mining sites, participation of the IRSN to actions to promote openness to civil society

  16. Radioecological impacts of tin mining.

    Science.gov (United States)

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

    2015-12-01

    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.

  17. Surface mining of mineral resources

    Energy Technology Data Exchange (ETDEWEB)

    Braeunig, H.D.

    1982-05-01

    This article outlines general advantages of surface mining technology and aspects of selecting the most suitable mining technology in surface mine projection. Heavy surface mining equipment of the TAKRAF engineering plants is recommended for efficient excavation and overburden removal up to 230,000 m/sup 3/d capacity with the largest excavator type and 440,000 m/sup 3/d capacity with the largest overburden conveyor bridge. Two major variants of surface mine technology are outlined: design of surface mines with continuous working equipment (bucket wheel or bucket chain excavators requiring up to 200 N/cm digging force for minerals and overburden and haulage by belt conveyors) or discontinuously working equipment (dragline excavators, truck transportation, etc.). The second major variant concerns overburden removal to the spoil bank, either by haulage in a semicircle around the pit or by a shortcut across the pit from the excavation to the spoil bank side (direct spoil removal method). TAKRAF equipment for surface mining operations is described with various specifications and details on its performance. (In German)

  18. Coal mining - custodian or culprit

    Energy Technology Data Exchange (ETDEWEB)

    Russell, C.

    1991-01-01

    Coal mining is a mainstay of the South African economy. Coal is used as a primary fuel, in the metallurgical and manufacturing sectors and is a considerable earner of foreign exchange. However coal mining has the potential to damage and disrupt the natural environment. The article, the second in a series on the mining industry and the environment, reports on whether South Africa's coal mining industry is playing its part in preserving the environment. Topics covered include: legislation, surface pollution i.e. rehabilitating open-cast mines and waste dumps, and surface subsidence; water pollution i.e. preventing, increase in water acidity; atmospheric pollution i.e. minimising the effects of coal dust, preventing methane contamination and minimising the effects of spontaneous combustion. Details are given of the nature of each problem and solutions adopted. The Chamber of Mines and its members have a history of self-regulation and proactive involvement in environmental management in the mining industry. Each year the industry spends more than 50 million rand on environmental rehabilitation and also funds research on more efficient and effective ways for the industry and the environment to co-exist. 8 photos.

  19. CEA and mining industry

    International Nuclear Information System (INIS)

    The French atomic energy commission (CEA) is involved in the mining industry in several ways: - in the front-end of the nuclear industry through its daughter companies and participations in the exploration and exploitation of uranium ores, but also of gold and alloy metals with a 26% participation in Eramet company, the world leader of manganese and nickel. This activity is the main occupation of Cogema daughter company, via the Areva holding; - in the back-end of the nuclear fuel cycle with the delicate problem of the management of radioactive wastes; - in parallel with the nuclear industry through an important activity in semiconductor materials (FCI and SMTElectronics); - and finally through various research works on several mineral compounds. This article focusses on the fuel cycle aspects of the CEA activities and concludes with the research works carried out today on thermonuclear fusion. (J.S.)

  20. Data Mining SIAM Presentation

    Science.gov (United States)

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

    2006-01-01

    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).

  1. Acid mine drainage: mining and water pollution issues in British Columbia

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-12-31

    The importance of protecting water quality and some of the problems associated with mineral development are described. Negative impacts of mining operations such as sedimentation, water disturbances, and water pollution from waste rock and tailings are considered. Mining wastes, types of water pollution from mining, the legacy of acid mine drainage, predicting acid mine drainage, preventing and mitigating acid mine drainage, examples from the past, and cyanide heap-leaching are discussed. The real costs of mining at the Telkwa open pit coal mine are assessed. British Columbia mines that are known for or are potentially acid generating are shown on a map. 32 refs., 10 figs.

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

    International Nuclear Information System (INIS)

    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)

  3. CROSSCUTTING TECHNOLOGY DEVELOPMENT AT THE CENTER FOR ADVANCED SEPARATION TECHNOLOGIES

    Energy Technology Data Exchange (ETDEWEB)

    Christopher E. Hull

    2005-01-20

    The U.S. is the largest producer of mining products in the world. In 2003, U.S. mining operations produced $57 billion worth of raw materials that contributed a total of $564 billion to the nation's wealth. Despite these contributions, the mining industry has not been well supported with research and development funds as compared to mining industries in other countries. To overcome this problem, the Center for Advanced Separation Technologies (CAST) was established to develop technologies that can be used by the U.S. mining industry to create new products, reduce production costs, and meet environmental regulations. Much of the research to be conducted with Cooperative Agreement funds will be longer-term, high-risk, basic research and will be carried out in five broad areas: (1) Solid-solid separation; (2) Solid-liquid separation; (3) Chemical/Biological Extraction; (4) Modeling and Control; and (5) Environmental Control.

  4. Extensible Markup Language Data Mining System Model

    Institute of Scientific and Technical Information of China (English)

    李炜; 宋瀚涛

    2003-01-01

    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.

  5. THE RELIABILITY STUDY OF MINE DESIGN

    Institute of Scientific and Technical Information of China (English)

    彭世济; 张达贤; 习永峰; 卢明银; 孙洪泉

    1991-01-01

    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.

  6. 30 CFR 282.24 - Mining Plan.

    Science.gov (United States)

    2010-07-01

    ... 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...

  7. MINE WASTE TECHNOLOGY PROGRAM: A SUCCESS STORY

    Science.gov (United States)

    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...

  8. Mastering SQL Server 2014 data mining

    CERN Document Server

    Bassan, Amarpreet Singh

    2014-01-01

    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.

  9. 30 CFR 75.203 - Mining methods.

    Science.gov (United States)

    2010-07-01

    ... 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...

  10. Mining for Inclusive Growth in Odisha, India

    OpenAIRE

    Kannan, Sridar P.; Veen, Peter

    2016-01-01

    This guidance note is about a recent mining boom in Odisha, that accelerated and diversified economic growth in the Indian state. However, the boom did not reduce poverty in the mining region. Meanwhile, unsustainable mining practices have severely affected the region’s air and water quality. Efforts to improve mining practices will require greater capacity for planning; reliable and timel...

  11. Collaborative Data Mining Tool for Education

    Science.gov (United States)

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

    2009-01-01

    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…

  12. A Collaborative Educational Association Rule Mining Tool

    Science.gov (United States)

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

    2011-01-01

    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…

  13. Electrokinetic remediation of copper mine tailings

    Energy Technology Data Exchange (ETDEWEB)

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

    2009-07-01

    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)

  14. 76 FR 70075 - Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines

    Science.gov (United States)

    2011-11-10

    ... Period On August 31, 2011 (76 FR 54163), MSHA published a proposed rule, Proximity Detection Systems for... 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....

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

    Science.gov (United States)

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

    2004-10-01

    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.

  16. First Mining workshop of Mining and metallurgical of MERCOSUR

    International Nuclear Information System (INIS)

    In the city of Montevideo, capital of the Oriental Republic of Uruguay, at 23 days of September 1994, under the First Meeting of Mercosur Mining Metallurgical, meet representatives of the mining sector in the countries signed the Treaty of Asuncion , attended as observers, authorities of the Republic of Bolivia and Ecuador and representatives of the productive labor, legislative and research. The primary objective is to integrate the mining sectors of those countries, taking into account the specificity of the mining, given by the resource it uses, the need for high-risk investment with slow recoveries of capital and infrastructure problems, taking into account leverage and its remarkable impact on the development of regional economies.

  17. Water pollution - control of pollution regulations: water pollution from abandoned mines; pre-notification of mine abandonment consultation paper and draft regulations

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-02-01

    The paper contains proposals to specify the content of the pre-abandonment notices which UK mine operators will be required to give in the future. The proposals are designed to enhance the Environment Agency`s ability to tackle water pollution from abandoned mines. They set out the precise contents of the notification, which mine operators will have to send to the Agency at least six months in advance of any intended abandonment. The regulations will cover coal and non-coal mines. Estimated compliance costs to business have been drawn up following consultation with the Department of Trade and Industry, the Health and Safety Executive, the Coal Authority and the Environment Agency. The regulations are due in late spring 1998.

  18. Sustainable Development in Estonian Mining

    Science.gov (United States)

    Šommet, Julija

    2013-12-01

    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. Third symposium on underground mining

    Energy Technology Data Exchange (ETDEWEB)

    None

    1977-01-01

    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)

  20. Mining and Reclamation Technology Symposium

    Energy Technology Data Exchange (ETDEWEB)

    None Available

    1999-06-24

    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.

  1. Mining High-Dimensional Data

    Science.gov (United States)

    Wang, Wei; Yang, Jiong

    With the rapid growth of computational biology and e-commerce applications, high-dimensional data becomes very common. Thus, mining high-dimensional data is an urgent problem of great practical importance. However, there are some unique challenges for mining data of high dimensions, including (1) the curse of dimensionality and more crucial (2) the meaningfulness of the similarity measure in the high dimension space. In this chapter, we present several state-of-art techniques for analyzing high-dimensional data, e.g., frequent pattern mining, clustering, and classification. We will discuss how these methods deal with the challenges of high dimensionality.

  2. Developments in surface mining technology

    Energy Technology Data Exchange (ETDEWEB)

    Klose, W. (TAKRAF-IFF GmbH, Leipzig (Germany, F.R.))

    1990-12-01

    Reviews heavy surface mining equipment series produced by the TAKRAF manufacturer in the FRG. TAKRAF has exported equipment to 18 countries; production has included over 400 bucket wheel excavators, 150 bucket chain excavators, 200 boom spreaders, 80 mobile transfer conveyors and 16 overburden conveyor bridges. Specifications are provided for high capacity bucket wheel excavators operating in Siberian and Greek coal mines, for direct spoil overcast combinations operating in Romania, Hungary and the USSR and for overburden conveyor bridges operating in the FRG. Equipment for small sized coal and mineral surface mines is also manufactured.

  3. Big Data Mining: Tools & Algorithms

    Directory of Open Access Journals (Sweden)

    Adeel Shiraz Hashmi

    2016-03-01

    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.

  4. Occupational radiation safety in mining

    International Nuclear Information System (INIS)

    The first International Conference on Occupational Radiation Safety in Mining was held three years ago in Golden, Colorado, U.S.A., and it provided an excellent forum for an exchange of information on the many scientific, technical and operational aspects of radiation safety in mining. I am aware of the broad spectrum of epidemiological, engineering and related studies which have been pursued during the past three years with a view to achieving further improvements in radiation protection and I expect that the information on these studies will contribute significantly to a wider understanding of subject, and in particular, the means by which radiation safety measures in mining can be optimized

  5. Instant RubyMine assimilation

    CERN Document Server

    Jones, Dave

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Get the job done and learn as you go. A practical guide comprising of easy-to-follow recipes which provide concise and clear steps to help you enter the world of RubyMine.Instant RubyMine is ideal for you, if you are new to RubyMine or well acquainted with the technology. All you need is basic knowledge of writing in Ruby or Ruby on Rails.

  6. Relevance between abutment pressure and fractal dimension of crack network induced by mining

    Institute of Scientific and Technical Information of China (English)

    Gao Mingzhong; Jin Wencheng; Dai Zhixu; Xie Jing

    2013-01-01

    Based on the geological conditions of coal mining face No. 15-14120 at No. 8 mine of Pingdingshan coal mining group, the real-time evolution of coal-roof crack network with working face advancing was collected with the help of intrinsically safe borehole video instrument. And according to the geology of this working face, a discrete element model was calculated by UDEC. Combining in situ experimental data with numerical results, the relationship between the fractal dimension of boreholes’ wall and the distri-bution of advanced abutment pressure was studied under the condition of mining advance. The results show that the variation tendency of fractal dimension and the abutment pressure has the same charac-teristic value. The distance between working face and the peak value of the abutment pressure has a slight increasing trend with the advancing of mining-face. When the working face is set as the original point, the trend of fractal dimension from the far place to the origin can be divided into three phases:constant, steady increasing and constant. And the turning points of these phases are the max-influencing distance (50 m) and peak value (15 m) of abutment pressure.

  7. SkyMine Carbon Mineralization Pilot Project

    Energy Technology Data Exchange (ETDEWEB)

    Christenson, Norm; Walters, Jerel

    2014-12-31

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

  8. Plans for uranium mining by COGEMA

    International Nuclear Information System (INIS)

    The COGEMA group is currently evaluating three uranium deposits, Koongarra in the Northern Territory and Manyingee and Oobagooma in WA, with regard to their development potential. The Koongarra deposit, with some 14,000 tonnes of contained U3O8, is the most advanced, as detailed mining plans and an Environmental Impact Statement (EIS) had been prepared by previous holders of the deposit. An agreement with the Aboriginal Land Owners of the area had also been negotiated with the Northern Land Council, but had not been ratified by the then Commonwealth Government. The sandstone-hosted deposits at Manyingee and Oobagooma contain resources of about 7000 tonne and 10,000 tonne of U3O8 respectively. It is possible that the deposits are amenable to in situ leaching techniques, and this - together with a determination of possible additional field investigations - is being evaluated. COGEMA, through its subsidiary AFmeco Mining and EXploration Pty Ltd, is furthermore embarking upon a sizeable exploration program in West Arnhem Land, Northern Territory. The exploration interests include geological units which are considered to be prospective for world-class uranium deposits

  9. SkyMine Carbon Mineralization Pilot Project

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-09-30

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

  10. Link mining models, algorithms, and applications

    CERN Document Server

    Yu, Philip S; Faloutsos, Christos

    2010-01-01

    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

  11. On Refined Mining%论精细采矿

    Institute of Scientific and Technical Information of China (English)

    曲胜利; 孙豁然; 李少辉

    2011-01-01

    随着一些废弃矿山的重新恢复生产,在开采残留矿脉的过程中,传统的粗放型采矿模式遇到了诸多问题,解决这些问题的途径是采用新的矿产资源开采模式--精细采矿模式.介绍了精细生产的基本含义和原理,提出了精细采矿的概念及其廊用范围.精细采矿的主要内容包括开采对象的描述精细化、回采方案精细化、矿山施工精细化、矿山信息精细化、安全保障精细化以及管理精细化等诸多方面.精细采矿综合采用各方面的先进技术,配合精细生产管理,以获得最好的矿山开采经济效益、环境效益与社会效益.%With the production of some abandoned mines restarting, there are many problems in the traditional mode of extensive mining during the exploration of residual ore. The way to solve these problems is to undertake the new model for exploring mineral resources - the mode of refined mining. The basic meanings and principle of refined mining are introduced,and its definition and application field are proposed. The refined mining mainly include refining the description of production target, refining the stoping scheme, refining the mining construction, refining the mining information, refining the safety control,refining the management of mining and so on. The refined mining comprehensively adopts advanced technologies in many respects, so as to acquire greatest economic benefits, environmental benefits and social benefits with the addition of refined management.

  12. Efficient techniques for mining spatial databases

    CERN Document Server

    El-Zawawy, Mohamed A

    2012-01-01

    Clustering is one of the major tasks in data mining. In the last few years, Clustering of spatial data has received a lot of research attention. Spatial databases are components of many advanced information systems like geographic information systems VLSI design systems. In this thesis, we introduce several efficient algorithms for clustering spatial data. First, we present a grid-based clustering algorithm that has several advantages and comparable performance to the well known efficient clustering algorithm. The algorithm has several advantages. The algorithm does not require many input parameters. It requires only three parameters, the number of the points in the data space, the number of the cells in the grid and a percentage. The number of the cells in the grid reflects the accuracy that should be achieved by the algorithm. The algorithm is capable of discovering clusters of arbitrary shapes. The computational complexity of the algorithm is comparable to the complexity of the most efficient clustering al...

  13. OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY

    Directory of Open Access Journals (Sweden)

    S. ChandraKala

    2012-10-01

    Full Text Available With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user’s opinions, views, feedback and suggestions available through the web resources, it’s very much essential to explore, analyze and organize their views for better decision making. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the user’s views or opinions explained in the form of positive, negative or neutral comments and quotes underlying the text. Text categorization generally classifies the documents by topic. This survey gives an overview of the efficient techniques, recent advancements and the future research directions in the field of Sentiment Analysis.

  14. Mars Molniya Orbit Atmospheric Resource Mining

    Science.gov (United States)

    Mueller, Robert P.; Braun, Robert D.; Sibille, Laurent; Sforzo, Brandon; Gonyea, Keir; Ali, Hisham

    2016-01-01

    This NIAC (NASA Advanced Innovative Concepts) work will focus on Mars and will build on previous efforts at analyzing atmospheric mining at Earth and the outer solar system. Spacecraft systems concepts will be evaluated and traded, to assess feasibility. However the study will primarily examine the architecture and associated missions to explore the closure, constraints and critical parameters through sensitivity studies. The Mars atmosphere consists of 95.5 percent CO2 gas which can be converted to methane fuel (CH4) and Oxidizer (O2) for chemical rocket propulsion, if hydrogen is transported from electrolyzed water on the Mars surface or from Earth. By using a highly elliptical Mars Molniya style orbit, the CO2 atmosphere can be scooped, ram-compressed and stored while the spacecraft dips into the Mars atmosphere at periapsis. Successive orbits result in additional scooping of CO2 gas, which also serves to aerobrake the spacecraft, resulting in a decaying Molniya orbit.

  15. Environmental studies for deep seabed mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    of mining system and the difference in the scale of test mining as well as of the experiments conducted, many questions remain unanswered, which need to be considered in future. Introduction Deepsea mining has been a subject of interest around... tests of prototype mining systems and components in the Pacific Ocean in the seventies (DOMES, 1976). The subsequent progress in the development of mining technology for deep-sea minerals has been slow since 1980 due to unfavorable metal market...

  16. A Survey of Parallel Data Mining

    OpenAIRE

    Freitas, Alex A

    1998-01-01

    With the fast, continuous increase in the number and size of databases, parallel data mining is a natural and cost-effective approach to tackle the problem of scalability in data mining. Recently there has been a considerable research on parallel data mining. However, most projects focus on the parallelization of a single kind of data mining algorithm/paradigm. This paper surveys parallel data mining with a broader perspective. More precisely, we discuss the parallelization of ...

  17. Data mining theories, algorithms, and examples

    CERN Document Server

    Ye, Nong

    2013-01-01

    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. Semantic Web Mining: Benefits, Challenges and Opportunities

    OpenAIRE

    Syeda Farha Shazmeen, Etyala Ramyasree

    2012-01-01

    Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining by using semantics to improve mining and using mining to create semantics. Web Mining aims at discovering insights about the meaning of Web resources and their usage In Semantic Web, the semantics information is presented by the relation with others and is recorded by RDF. RDF which is semantic web technology that can be utilized to build efficient and scalable systems for Cloud. The Semantic Web enriches the Worl...

  19. Monitoring genotoxic exposure in uranium mines.

    OpenAIRE

    Srám, R J; Dobiás, L; Rössner, P; Veselá, D; Veselý, D; Rakusová, R; V. Rericha

    1993-01-01

    Recent data from deep uranium mines in Czechoslovakia indicated that mines are exposed to other mutagenic factors in addition to radon daughter products. Mycotoxins were identified as a possible source of mutagens in these mines. Mycotoxins were examined in 38 samples from mines and in throat swabs taken from 116 miners and 78 controls. The following mycotoxins were identified from mines samples: aflatoxins B1 and G1, citrinin, citreoviridin, mycophenolic acid, and sterigmatocystin. Some mold...

  20. Evaluation of Security of Mine Ventilation Systems

    Institute of Scientific and Technical Information of China (English)

    何书建; 彭担任; 翟成

    2002-01-01

    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 .

  1. Discussion research of digital construction of mine

    Institute of Scientific and Technical Information of China (English)

    JIN Zhuo; ZHANG Zi-bin

    2008-01-01

    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.

  2. Discussion research of digital construction of mine

    Institute of Scientific and Technical Information of China (English)

    JIN Zhuo; ZHANG Zi-bin

    2008-01-01

    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.

  3. ROLE OF DATA MINING IN RETAIL SECTOR

    OpenAIRE

    Bharati M. Ramageri; Dr. B.L. Desai

    2013-01-01

    Data mining is proved to be one of the important tools for identifying useful information from very large amount of data bases in almost all the industries. Industries are using data mining to increase revenues and reduce costs. This article begins the concept of data mining that has emerged as a technique of discovering patterns to make better strategies and decisions. It also discusses standard tasks involved in data mining, reviews various data mining applications in different sectors. Thi...

  4. Web Mining%Web 数学挖掘

    Institute of Scientific and Technical Information of China (English)

    王实; 高文; 李锦涛

    2000-01-01

    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.

  5. 30 CFR 49.20 - Requirements for all coal mines.

    Science.gov (United States)

    2010-07-01

    ... 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...

  6. Effective wave identification and interference analysis of the seismic reflection method in mines

    Institute of Scientific and Technical Information of China (English)

    HU Yun-bing; WU Yan-qing; KANG Hou-qing

    2009-01-01

    Through discussion of the time-distance curve characteristics of the direct wave and from the front, side and rear of the reflection waves of the seismic reflection method for advanced exploration in mines, and analysis of several major interference waves in mines, the differences in time-distance curve, frequency, apparent velocity between the effective wave and interference wave in the seismic reflection method for advanced ex-ploration are obtained. According to the differences, the effective wave is extracted and the interference wave is filtered and the system's precision and accuracy is improved.

  7. Nonferrous Metal Mines - Direct Download

    Data.gov (United States)

    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....

  8. Visual Data Mining Toolbox Project

    Data.gov (United States)

    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...

  9. Slope stability in surface mining

    Energy Technology Data Exchange (ETDEWEB)

    Hustrulid, W.A.; McCarter, M.K.; Van Zyl, D.J.A. (eds.)

    2000-07-01

    The volume contains a total of 49 invited papers in four sections entitled: rock slope design considerations; case studies in rock slope stability; stability of waste rock embankments; and tailings and heap leaching. Three papers are directly relevant to coal mining: coal mine highwall stability by Ben Seegmiller; construction and operation of a major mined-rock disposal facility at Elkview Coal Corporation, British Colombia by Brent Zeitz; and steepened spoil slopes at Bridger Coal Company, by William Gerhard. The papers were invited in the long time lapse between the 3rd and 4th international conference on stability in open pit mining to supplement earlier proceedings. Immediately following the publication of this volume, a symposium was held in conjunction with the 2001 SME annual meeting in Denver, Colorado, USA.

  10. Opinion mining in Dutch Hansards

    NARCIS (Netherlands)

    S. Grijzenhout; V. Jijkoun; M. Marx

    2010-01-01

    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

  11. Data preprocessing in data mining

    CERN Document Server

    García, Salvador; Herrera, Francisco

    2015-01-01

    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...

  12. Privacy Preserving Distributed Data Mining

    Data.gov (United States)

    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...

  13. Ferrous Metal Mines - Direct Download

    Data.gov (United States)

    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....

  14. Learning data mining with R

    CERN Document Server

    Makhabel, Bater

    2015-01-01

    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.

  15. Water pollution from abandoned mines

    OpenAIRE

    Iversen, E.; Johannessen, M.

    1987-01-01

    The report provides a country-wide overview of abandoned pyrite mines where operations have been fairly extensive. The water pollution situation is assessed on the basis of reported investigations, inspections and chemical analyses from the individual areas. In cases where larger watercourses (Orkla, Gaula), and the upper stretch of the Glåma are affected the situation appears to be adequately described. However abandoned mine areas may also cause local pollution problems, and here documentat...

  16. Mine Safety Detection System (MSDS)

    OpenAIRE

    Ballard, B.; Degnan, T.; Kipp, M.; Johnson, J; Miller, D.; Minto, M.

    2012-01-01

    Systems Engineering Project Report Approved for public release, distribution unlimited The search, detection, identification and assessment components of the U.S. Navys organic modular in-stride Mine Countermeasure (MCM) Concept of Operations (CONOPS) have been evaluated for their effectiveness as part of a hypothetical exercise in response to the existence of sea mines placed in the sea lanes of the Strait of Hormuz. The current MCM CONOPS has been shown to be capable of supporting the...

  17. Mining Heterogeneous Multidimensional Sequential Patterns

    OpenAIRE

    Egho, Elias; Raïssi, Chedy; Jay, Nicolas; Napoli, Amedeo

    2014-01-01

    All domains of science and technology produce large and heterogeneous data. Although much work has been done in this area, mining such data is still a challenge. No previous research targets the mining of heterogeneous multidimensional sequential data. In this work, we present a new approach to extract heterogeneous multidimensional sequential patterns with different levels of granularity by relying on external taxonomies. We show the efficiency and interest of our approach with the analysis ...

  18. System for Distributed Text Mining

    OpenAIRE

    Torgersen, Martin Nordseth

    2011-01-01

    Text mining presents us with new possibilities for the use of collections of documents.There exists a large amount of hidden implicit information inside these collection, which text mining techniques may help us to uncover. Unfortunately, these techniques generally requires large amounts of computational power. This is addressed by the introduction of distributed systems and methods for distributed processing, such as Hadoop and MapReduce.This thesis aims to describe, design, implement and ev...

  19. Typesafe Modeling in Text Mining

    OpenAIRE

    Steeg, Fabian

    2011-01-01

    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.

  20. Text mining: A Brief survey

    OpenAIRE

    Falguni N. Patel , Neha R. Soni

    2012-01-01

    The unstructured texts which contain massive amount of information cannot simply be used for further processing by computers. Therefore, specific processing methods and algorithms are required in order to extract useful patterns. The process of extracting interesting information and knowledge from unstructured text completed by using Text mining. In this paper, we have discussed text mining, as a recent and interesting field with the detail of steps involved in the overall process. We have...

  1. Excavation method in Goushfill mine

    OpenAIRE

    Masoud Cheraghi Seifabad; Saeed Beheshti

    2013-01-01

    This research tries to investigate the geomechanical parameters of rock mass in Goushfill mine. Using available cores, and studying existing methods, logs, and careful assessment of samples, four types of rock mass in Goushfill mine, shale, mineralized shale, dolomite and mineralized dolomite are classified, on the basis of GSI, RMR and Q-system. The physical parameters, friction angle and cohesion of rock mass are measured in the rock mechanics lab of Isfahan University of Technology. The ex...

  2. Expertised String Mining in Outsized Databases and Hefty Files

    OpenAIRE

    K. Geetha Rani; Shobhanjaly P. Nair; P. Visu; S. Koteeswaran

    2014-01-01

    In the last few decades data mining is one of the important research areas in data maintenance of computing. In computing world, plentiful algorithms are proposed for mining. The few applications of data mining are web mining, video mining, knowledge mining and string mining. In these applications, string mining is focused and concentrated to overcome the space allocation process. To overcome the drawback suffered by the space allocation process Efficient String Mining (ESM) algorithm is prop...

  3. Abandoned Uranium Mine (AUM) Priority-Tronox Mine Sites, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — There are 9 mines that are Tronox enforcement actions and are classified as priority mines. USEPA and NNEPA prioritized 46 mines based on gamma radiation levels,...

  4. Abandoned Uranium Mine (AUM) Trust Mine Points, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    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....

  5. Abandoned Uranium Mine (AUM) Priority Mines with Enforcement Actions, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    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,...

  6. Advances in natural language processing.

    Science.gov (United States)

    Hirschberg, Julia; Manning, Christopher D

    2015-07-17

    Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition, and speech synthesis. Today's researchers refine and make use of such tools in real-world applications, creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health or finance, and identifying sentiment and emotion toward products and services. We describe successes and challenges in this rapidly advancing area.

  7. Development of mining at Jaduguda

    International Nuclear Information System (INIS)

    The paper deals with the development of mining and other infrastructural activities of the underground mine at Jaduguda. In the beginning open and shrinkage methods were used but gradually changed to Cut and Fill method, the fill being the deslimed mill tailings. This method gives much better recovery and provides adequate support to the worked out areas. The main entry to the mine is via a vertical shaft, 640 meters deep. The winders for ore hoisting and the services are installed on top of the concrete tower constructed above the shaft. As the winders are the life line of the mine, a high standard of maintenance is maintained. As the mine is located at the foot hill, there is a fair amount of seepage water. The seepage and the water from the fill is pumped to surface in stages. The sumps at various levels are designed to provide storage capacity. From time to time, the technological improvements in the various mining operations are brought about. The drilling of uppers by stope wagons, use of tyre mounted loaders in the stopes, use of ammonium nitrate for blasting purposes, the use of full column grout bolts are some examples. Studies are also conducted in the ground control in underground. Constant efforts are made to improve the support system. The training courses are regularly arranged for workers to update their skills. As the job in underground is hazardous, the workers are trained in the correct and safe methods of doing the various jobs. (author). 10 figs

  8. GENERAL WEB KNOWLEDGE MINING FRAMEWORK

    Directory of Open Access Journals (Sweden)

    B. Madasamy

    2012-10-01

    Full Text Available Mining the web is defined as discovering knowledge from hypertext and World Wide Web. The World Wide Web is one of the longest rising areas of intelligence gathering. Now a day there are billions of web pages, HTML archive accessible via the internet, and the number is still increasing. However, considering the inspiring diversity of the web, retrieving of interestingness web based content has become a very complex task. The large amount of data heterogeneity, complex format, high dimensional data and lack of structure of web, knowledge mining is a challenging task. In this paper, it is proposed to introduce a new framework generated to handle unstructured complex data. This web knowledge mining expertise brings forward a kind of XML-based distributed data mining architecture. Based on the research of web knowledge mining, XML is used to create well structured data. Web knowledge mining framework attempts to determine useful knowledge from derived data, complex format, and high dimensional data obtained from the interactions of the users through the Web.

  9. Mine waste disposal and managements

    Energy Technology Data Exchange (ETDEWEB)

    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)

    1998-12-01

    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.

  10. Mining in Austria in 1992

    International Nuclear Information System (INIS)

    The mineral production of Austria, in 1992 - as far as under the supervision of the Austrian Mine Inspectorate, run up to about 50 million t of solid minerals, 1.2 million t of oil and 1.4 billion m3 of natural gas. 88% of the solid minerals comprised industrial minerals, 4% metals, 4% salt and 4% coal. The solid minerals were produced by 352 open pits and 15 underground mines. 3 of the operations worked both on surface and underground and one mine is a well field operation. In total around 8000 people were employed in the field of mining and mineral processing. The minerals produced represent a value of about 15 billion Austrian Schillings (about 1.25 billion US $), the major part being the industrial minerals sector with a share of 7 billion Austrian Schillings and oil and gas with around 4 billion Austrian Schillings. The industrial minerals sector does not play only in Austrian an important role, but contributes also remarkably to the world production. This comprises mainly magnesite, talc, kaolin and graphite where Austria produces more than 1% of the world production. Summarizing, it can be said that the future of the Austrian mining sector is quite prosperous, perhaps better than in some other traditional mining countries in Europe, where the change from the coal and base metals sector towards the industrial sector has not come so far. (orig.)

  11. ADVANCE PAYMENTS

    CERN Multimedia

    Human Resources Division

    2002-01-01

    Administrative Circular Nº 8 makes provision for the granting of advance payments, repayable in several monthly instalments, by the Organization to the members of its personnel. Members of the personnel are reminded that these advances are only authorized in exceptional circumstances and at the discretion of the Director-General. In view of the current financial situation of the Organization, and in particular the loans it will have to incur, the Directorate has decided to restrict the granting of such advances to exceptional or unforeseen circumstances entailing heavy expenditure and more specifically those pertaining to social issues. Human Resources Division Tel. 73962

  12. Advance payments

    CERN Multimedia

    Human Resources Division

    2003-01-01

    Administrative Circular N 8 makes provision for the granting of advance payments, repayable in several monthly instalments, by the Organization to the members of its personnel. Members of the personnel are reminded that these advances are only authorized in exceptional circumstances and at the discretion of the Director-General. In view of the current financial situation of the Organization, and in particular the loans it will have to incur, the Directorate has decided to restrict the granting of such advances to exceptional or unforeseen circumstances entailing heavy expenditure and more specifically those pertaining to social issues. Human Resources Division Tel. 73962

  13. Re-mining association mining results through visualization, data envelopment analysis, and decision trees

    OpenAIRE

    Ertek, Gürdal; Ertek, Gurdal; Tunç, Murat Mustafa; Tunc, Murat Mustafa

    2012-01-01

    Re-mining is a general framework which suggests the execution of additional data mining steps based on the results of an original data mining process. This study investigates the multi-faceted re-mining of association mining results, develops and presents a practical methodology, and shows the applicability of the developed methodology through real world data. The methodology suggests re-mining using data visualization, data envelopment analysis, and decision trees. Six hypotheses, regarding ...

  14. Realizatinon of “zero emission” of mining water effluents from Sasa mine

    OpenAIRE

    Mirakovski, Dejan; Doneva, Nikolinka; Hadzi-Nikolova, Marija; Gocevski, Borce

    2015-01-01

    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...

  15. Metagenomic mining for microbiologists.

    Science.gov (United States)

    Delmont, Tom O; Malandain, Cedric; Prestat, Emmanuel; Larose, Catherine; Monier, Jean-Michel; Simonet, Pascal; Vogel, Timothy M

    2011-12-01

    Microbial ecologists can now start digging into the accumulating mountains of metagenomic data to uncover the occurrence of functional genes and their correlations to microbial community members. Limitations and biases in DNA extraction and sequencing technologies impact sequence distributions, and therefore, have to be considered. However, when comparing metagenomes from widely differing environments, these fluctuations have a relatively minor role in microbial community discrimination. As a consequence, any functional gene or species distribution pattern can be compared among metagenomes originating from various environments and projects. In particular, global comparisons would help to define ecosystem specificities, such as involvement and response to climate change (for example, carbon and nitrogen cycle), human health risks (eg, presence of pathogen species, toxin genes and viruses) and biodegradation capacities. Although not all scientists have easy access to high-throughput sequencing technologies, they do have access to the sequences that have been deposited in databases, and therefore, can begin to intensively mine these metagenomic data to generate hypotheses that can be validated experimentally. Information about metabolic functions and microbial species compositions can already be compared among metagenomes from different ecosystems. These comparisons add to our understanding about microbial adaptation and the role of specific microbes in different ecosystems. Concurrent with the rapid growth of sequencing technologies, we have entered a new age of microbial ecology, which will enable researchers to experimentally confirm putative relationships between microbial functions and community structures. PMID:21593798

  16. ADMIRE framework for data mining and integration

    Science.gov (United States)

    Hluchy, Ladislav; Tran, Viet; Habala, Ondrej

    2010-05-01

    In this paper we presents the data mining and integration of environmental applications in EU IST project ADMIRE. It briefly presents the project ADMIRE and data mining of spatio-temporal data in general. The application, originally targeting flood simulation and prediction is now being extended into the broader context of environmental studies. We describe several interesting scenarios, in which data mining and integration of distributed environmental data can improve our knowledge of the relations between various hydro-meteorological variables. The project ADMIRE aims to deliver a consistent and easy-to-use technology for extracting information and knowledge. Its main target is to provide advanced data mining and integration techniques for distributed environment. In this paper, we will focus on one of its pilot applications with target domain is environmental risk management. Several scenarios have been proposed including short-term weather forecasting using radar images, complex hydrological scenarios with waterworks, measured data from water stations and meteorological data from models. Historical data for mining are supplied mainly by Slovak Hydrometeorological Institute and Slovak Water Enterprise. The main characteristics of data sets describing phenomena from environment applications are spatial and temporal dimensions. Integration of spatio-temporal data from different sources is a challenging task due to those dimensions. Different spatio-temporal data sets contain data at different resolutions and frequencies. This heterogeneity is the principal challenge of geo-spatial and temporal data sets integration - the integrated data set should hold homogeneous data of the same resolution and frequency. In alignment with ADMIRE project vision, the processing elements (a data integration workflow that can be executed at a single resource.) are specified in Data Mining and Integration Language DISPEL that is being developed within the project. The goal of DISPEL

  17. Massive XML Data Mining in Cloud Computing Environment

    Directory of Open Access Journals (Sweden)

    Zhao Li

    2014-08-01

    Full Text Available This paper concentrates on how to mine useful information from massive XML documents in cloud computing environment. The structure of the Cloud computing and the corresponding tree data model of a XML document are analyzed in advance. Afterwards, structure of the proposed XML data mining system is illustrated, which is made up of three layers, such as “Application layer”, “Data processing layer”, and “XML Data converting layer”. In the XML Data converting layer, XML data are collected from databases and documents, and then the source data can be converted to XML file effectively. In the data processing layer, the process of data selection, cleaning and standardization for XML data set is implemented, moreover, a XML data set with higher degree of structure and rich semantics are obtained. In the application layer, “the results report module”, “data query module” and “results analysis module” are included. Next, massive XML data mining algorithm is proposed. The main innovations of this algorithm lie in that 1 the structure of a XML document is represented as an unordered tree, 2 the sub-structures of a XML document are modeled as sub-trees, and XML trees are regarded as a forest which is made up of all the sub-trees. Experimental results show that the proposed method can effectively mine useful information from massive XML documents in cloud computing environment with high efficiency.

  18. Water control at certain karst U-mining area

    International Nuclear Information System (INIS)

    To ensure mining security, water control for certain mining area is designed. Hydrogeological conditions in the studied area are analyzed. Four methods were used to calculate the inflow of water at mineral area, such as 'bigwell' method and 'groundwater isostatic' method according to the karst development. The calculated data for average inflow of water for the 100 m middle section are mainly compared with the data for the inflow of spring water in this deposit observed during the last five years. The difference between them is found minor. This indicates that the parameters selected for the calculation of inflow of water are reasonable and the methods used are suitable. Taking into account the above, it is decided to use the combination of surface water control and groundwater control Surface water control first,and groundwater control second, Five methods are used for surface water control such as plugging, filling, stopping, draining and dredging. Three methods for groundwater control such as curtain grouting, drainage in advance and blocking. The implimentation of this program will greatly reduce the threat of groundwater in ming area to mining operation and the cost of treatment of water discharge in mining pits and wells ,and effectively protect the environment and ensure the local people's living and production. (authors)

  19. A REVIEW ON DATA MINING IN BANKING SECTOR

    Directory of Open Access Journals (Sweden)

    Vikas Jayasree

    2013-01-01

    Full Text Available The banking industry has undergone various changes in the way they conduct the business and focus on modern technologies to compete the market. The banking industry has started realizing the importance of creating the knowledge base and its utilization for the benefits of the bank in the area of strategic planning to survive in the competitive market. In the modern era, the technologies are advanced and it facilitates to generate, capture and store data are increased enormously. Data is the most valuable asset, especially in financial industries. The value of this asset can be evaluated only if the organization can extract the valuable knowledge hidden in raw data. The increase in the huge volume of data as a part of day to day operations and through other internal and external sources, forces information technology industries to use technologies like data mining to transform knowledge from data. Data mining technology provides the facility to access the right information at the right time from huge volumes of raw data. Banking industries adopt the data mining technologies in various areas especially in customer segmentation and profitability, Predictions on Prices/Values of different investment products, money market business, fraudulent transaction detections, risk predictions, default prediction on pricing. It is a valuable tool which identifies potentially useful information from large amount of data, from which organization can gain a clear advantage over its competitors. This study shows the significance of data mining technologies and its advantages in the banking and financial sectors.

  20. Superconducting magnetic sensors for mine detection and classification

    Science.gov (United States)

    Clem, Ted R.; Koch, Roger H.; Keefe, George A.

    1995-06-01

    Sensors incorporating Superconducting Quantum Interference Devices (SQUIDs) provide the greatest sensitivity for magnetic anomaly detection available with current technology. During the 1980's, the Naval Surface Warfare Center Coastal Systems Station (CSS) developed a superconducting magnetic sensor capable of operation outside of the laboratory environment. This sensor demonstrated rugged, reliable performance even onboard undersea towed platforms. With this sensor, the CSS was able to demonstrate buried mine detection for the US Navy. Subsequently the sensor was incorporated into a multisensor suite onboard an underwater towed vehicle to provide a robust mine hunting capability for the Magnetic and Acoustic Detection of Mines (MADOM) project. This sensor technology utilized niobium superconducting componentry cooled by liquid helium to temperatures on the order of 4 degrees Kelvin (K). In the late 1980's a new class of superconductors was discovered with critical temperatures above the boiling point of liquid nitrogen (77K). This advance has opened up new opportunities, especially for mine reconnaissance and hunting from small unmanned underwater vehicles (UUVs). This paper describes the magnetic sensor detection and classification concept developed for MADOM. In addition, opportunities for UUV operations made possible with high Tc technology and the Navy's current efforts in this area will be addressed.

  1. Advanced nanoelectronics

    CERN Document Server

    Ismail, Razali

    2012-01-01

    While theories based on classical physics have been very successful in helping experimentalists design microelectronic devices, new approaches based on quantum mechanics are required to accurately model nanoscale transistors and to predict their characteristics even before they are fabricated. Advanced Nanoelectronics provides research information on advanced nanoelectronics concepts, with a focus on modeling and simulation. Featuring contributions by researchers actively engaged in nanoelectronics research, it develops and applies analytical formulations to investigate nanoscale devices. The

  2. Lunar vertical-shaft mining system

    Science.gov (United States)

    Introne, Steven D. (Editor); Krause, Roy; Williams, Erik; Baskette, Keith; Martich, Frederick; Weaver, Brad; Meve, Jeff; Alexander, Kyle; Dailey, Ron; White, Matt

    1994-01-01

    This report proposes a method that will allow lunar vertical-shaft mining. Lunar mining allows the exploitation of mineral resources imbedded within the surface. The proposed lunar vertical-shaft mining system is comprised of five subsystems: structure, materials handling, drilling, mining, and planning. The structure provides support for the exploration and mining equipment in the lunar environment. The materials handling subsystem moves mined material outside the structure and mining and drilling equipment inside the structure. The drilling process bores into the surface for the purpose of collecting soil samples, inserting transducer probes, or locating ore deposits. Once the ore deposits are discovered and pinpointed, mining operations bring the ore to the surface. The final subsystem is planning, which involves the construction of the mining structure.

  3. Prediction of buried mine-like target radar signatures using wideband electromagnetic modeling

    Energy Technology Data Exchange (ETDEWEB)

    Warrick, A.L.; Azevedo, S.G.; Mast, J.E.

    1998-04-06

    Current ground penetrating radars (GPR) have been tested for land mine detection, but they have generally been costly and have poor performance. Comprehensive modeling and experimentation must be done to predict the electromagnetic (EM) signatures of mines to access the effect of clutter on the EM signature of the mine, and to understand the merit and limitations of using radar for various mine detection scenarios. This modeling can provide a basis for advanced radar design and detection techniques leading to superior performance. Lawrence Livermore National Laboratory (LLNL) has developed a radar technology that when combined with comprehensive modeling and detection methodologies could be the basis of an advanced mine detection system. Micropower Impulse Radar (MIR) technology exhibits a combination of properties, including wideband operation, extremely low power consumption, extremely small size and low cost, array configurability, and noise encoded pulse generation. LLNL is in the process of developing an optimal processing algorithm to use with the MIR sensor. In this paper, we use classical numerical models to obtain the signature of mine-like targets and examine the effect of surface roughness on the reconstructed signals. These results are then qualitatively compared to experimental data.

  4. Large mining blasts from the Kursk Mining Region, Russia

    Energy Technology Data Exchange (ETDEWEB)

    Leith, W. Adushkin, V.; Spivak, A.

    1997-01-01

    Monitoring the Comprehensive Nuclear Test Ban Treaty (CTBT) by seismic means will require identification of seismic sources at magnitude levels where industrial explosions (primarily, mining blasts) may comprise a significant fraction of the total number of events recorded, and may for some countries dominate the seismicity. Thus, data on blasting practice have both political significance for the negotiation of treaties involving seismic monitoring of nuclear tests, and operational applications in terms of establishing monitoring and inspection needs on a mine-by-mine basis. While it is generally accepted that mining explosions contribute to seismicity at lower seismic magnitudes (less than about magnitude 3.5), the rate of mining seismicity as a function of seismic magnitude is unknown for most countries outside the U.S. This results in a large uncertainty when estimating the task of discriminating nuclear explosions from chemical explosions and earthquakes, by seismic means, under a comprehensive nuclear test ban. This uncertainty directly affects estimates of seismic network enhancements required to achieve treaty verification requirements at magnitudes less than about 3.5. 24 refs., 64 figs., 11 tabs.

  5. AdvancED Flex 4

    CERN Document Server

    Tiwari, Shashank; Schulze, Charlie

    2010-01-01

    AdvancED Flex 4 makes advanced Flex 4 concepts and techniques easy. Ajax, RIA, Web 2.0, mashups, mobile applications, the most sophisticated web tools, and the coolest interactive web applications are all covered with practical, visually oriented recipes. * Completely updated for the new tools in Flex 4* Demonstrates how to use Flex 4 to create robust and scalable enterprise-grade Rich Internet Applications.* Teaches you to build high-performance web applications with interactivity that really engages your users.* What you'll learn Practiced beginners and intermediate users of Flex, especially

  6. Earth Science Mining Web Services

    Science.gov (United States)

    Pham, Long; Lynnes, Christopher; Hegde, Mahabaleshwa; Graves, Sara; Ramachandran, Rahul; Maskey, Manil; Keiser, Ken

    2008-01-01

    To allow scientists further capabilities in the area of data mining and web services, the Goddard Earth Sciences Data and Information Services Center (GES DISC) and researchers at the University of Alabama in Huntsville (UAH) have developed a system to mine data at the source without the need of network transfers. The system has been constructed by linking together several pre-existing technologies: the Simple Scalable Script-based Science Processor for Measurements (S4PM), a processing engine at he GES DISC; the Algorithm Development and Mining (ADaM) system, a data mining toolkit from UAH that can be configured in a variety of ways to create customized mining processes; ActiveBPEL, a workflow execution engine based on BPEL (Business Process Execution Language); XBaya, a graphical workflow composer; and the EOS Clearinghouse (ECHO). XBaya is used to construct an analysis workflow at UAH using ADam components, which are also installed remotely at the GES DISC, wrapped as Web Services. The S4PM processing engine searches ECHO for data using space-time criteria, staging them to cache, allowing the ActiveBPEL engine to remotely orchestras the processing workflow within S4PM. As mining is completed, the output is placed in an FTP holding area for the end user. The goals are to give users control over the data they want to process, while mining data at the data source using the server's resources rather than transferring the full volume over the internet. These diverse technologies have been infused into a functioning, distributed system with only minor changes to the underlying technologies. The key to the infusion is the loosely coupled, Web-Services based architecture: All of the participating components are accessible (one way or another) through (Simple Object Access Protocol) SOAP-based Web Services.

  7. Earth Science Mining Web Services

    Science.gov (United States)

    Pham, L. B.; Lynnes, C. S.; Hegde, M.; Graves, S.; Ramachandran, R.; Maskey, M.; Keiser, K.

    2008-12-01

    To allow scientists further capabilities in the area of data mining and web services, the Goddard Earth Sciences Data and Information Services Center (GES DISC) and researchers at the University of Alabama in Huntsville (UAH) have developed a system to mine data at the source without the need of network transfers. The system has been constructed by linking together several pre-existing technologies: the Simple Scalable Script-based Science Processor for Measurements (S4PM), a processing engine at the GES DISC; the Algorithm Development and Mining (ADaM) system, a data mining toolkit from UAH that can be configured in a variety of ways to create customized mining processes; ActiveBPEL, a workflow execution engine based on BPEL (Business Process Execution Language); XBaya, a graphical workflow composer; and the EOS Clearinghouse (ECHO). XBaya is used to construct an analysis workflow at UAH using ADaM components, which are also installed remotely at the GES DISC, wrapped as Web Services. The S4PM processing engine searches ECHO for data using space-time criteria, staging them to cache, allowing the ActiveBPEL engine to remotely orchestrates the processing workflow within S4PM. As mining is completed, the output is placed in an FTP holding area for the end user. The goals are to give users control over the data they want to process, while mining data at the data source using the server's resources rather than transferring the full volume over the internet. These diverse technologies have been infused into a functioning, distributed system with only minor changes to the underlying technologies. The key to this infusion is the loosely coupled, Web- Services based architecture: All of the participating components are accessible (one way or another) through (Simple Object Access Protocol) SOAP-based Web Services.

  8. A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggregation useful for many advanced data mining/analysis...

  9. Mechanics Evolution Characteristics Analysis of Pressure-arch in Fully-mechanized Mining Field

    Directory of Open Access Journals (Sweden)

    S.R. Wang

    2014-09-01

    Full Text Available Based on a practical engineering, the three-dimension computational model was built using FLAC3D under the fullymechanized mining condition. Considering four variation factors, such as the distance of mining advancing, the strength of the surrounding rock, the speed of mining advancing and the dip angle of the coal seam, the mechanics evolution characteristics of the pressure-arch were analyzed. The result showed that for the horizontal seam, the geometric shape of the pressure-arch varied from flat arch to round arch gradually and the height and thickness of the pressure-arch also increased; the maximum principal stress in the skewback also increased with the working face advancing. With the strength of the surrounding rock from soft to hard, the arch thickness reduced, and the arch loading decreased. To improve the mining speed can do some contributions to the stability of the pressure-arch in the mining field. With the increase of dip angle of the seam, the pressure-arch displayed an asymmetric shape, the vault was tilted and moved to the upward direction. At the same time, the thickness of the pressure-arch increased, and the stress concentration in the skewback tended to be further intensified.

  10. Contrast data mining concepts, algorithms, and applications

    CERN Document Server

    Dong, Guozhu

    2012-01-01

    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

  11. Chaos dynamic characteristics during mine fires

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Mine fires break out and continue in confmed scopes, studying mine fire dynamics characteristics is very usefulto prevent and control fire. The judgement index of fire chaos characteristics was introduced, chaos analysis of mine Fireprocess was described, and the reconstruction of phase space was also presented. An example of mine fire was calculated.The computations show that it is feasible to analyze mine fire dynamic characteristics with chaos theory, and indicate thatfire preoeas is a catastrophe, that is to say, the fire system changes from one state to another during mine fire

  12. Mining software specifications methodologies and applications

    CERN Document Server

    Lo, David

    2011-01-01

    An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of software systems. Experts in the field illustrate how to apply state-of-the-art data mining and machine learning techniques to address software engineering concerns. In the first set of chapters, the book introduces a number of studies on mining finite

  13. ROLE OF DATA MINING IN RETAIL SECTOR

    Directory of Open Access Journals (Sweden)

    Bharati M. Ramageri

    2013-01-01

    Full Text Available Data mining is proved to be one of the important tools for identifying useful information from very large amount of data bases in almost all the industries. Industries are using data mining to increase revenues and reduce costs. This article begins the concept of data mining that has emerged as a technique of discovering patterns to make better strategies and decisions. It also discusses standard tasks involved in data mining, reviews various data mining applications in different sectors. This paper attempts, how data mining can be applied in retail industry to improve market campaign.

  14. Research on effectiveness of coal mine safety supervision system reform on three types of collieries in China

    Institute of Scientific and Technical Information of China (English)

    Quanlong Liu; Xinchun Li; Fuyuan Guan

    2014-01-01

    Coal mine safety supervision system plays an important role in the coal mine safety management in China. However, the current supervision system is established on the basis of learning the advanced experience from other developed countries. It needs to be further improved according to national conditions. Therefore, the effectiveness of coal mine safety supervision system reform on three types of collieries are assessed by using time series analysis method based on comparative analysis of the supervision system before and after the reform in this paper. The regression results show that the structural reform is not conductive to the improvement of coal mine safety situation in the short term, but conductive significantly in the long term. Specifically, the effects in township coal mines are more significant than state-owned key coal mines in the long run, but negative effects also exist in the short term. The negative effects in state-owned key coal mines are non-significant compared with township coal mines. Moreover, the regression results are analyzed from the aspects of the closure policy of illegal small township coal mines at the end of 1998 and shortage of the new supervision system. Finally, the suggestions on improving the new supervision system are put forward based on the above analysis.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1981-01-01

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

  16. Retrieving three-dimensional displacement fields of mining areas from a single InSAR pair

    Science.gov (United States)

    Li, Zhi Wei; Yang, Ze Fa; Zhu, Jian Jun; Hu, Jun; Wang, Yun Jia; Li, Pei Xian; Chen, Guo Liang

    2015-01-01

    This paper presents a novel method for retrieving three-dimensional (3-D) displacement fields of mining areas from a single interferometric synthetic aperture radar (InSAR) pair. This method fully exploits the mechanism of mining subsidence, specifically the proportional relationship between the horizontal displacement and horizontal gradient of vertical displacements caused by underground mining. This method overcomes the limitations of conventional InSAR techniques that can only measure one-dimensional (1-D) deformation of mining area along the radar line-of-sight direction. The proposed method is first validated with simulated 3-D displacement fields, which are obtained by the FLAC software. The root mean square errors of the 3-D displacements retrieved by the proposed method are 13.7, 27.6 and 3.6 mm for the West-East, North-South, and Up-Down components, respectively. We then apply the proposed method to estimate the 3-D displacements of the Qianyingzi and the Xuzhou coal mines in China, respectively, each along with two Advanced Land Observing Satellite (ALOS) Phased Array Type L-band Synthetic Aperture Radar images. Results show that the estimated 3-D displacement is highly consistent with that of the field surveying. This demonstrates that the proposed method is an effective approach for retrieving 3-D mining displacement fields and will play an important role in mining-related hazard prevention and environment assessment under limited InSAR acquisitions.

  17. Evolution of a mining induced fracture network in the overburden strata of an inclined coal seam

    Institute of Scientific and Technical Information of China (English)

    Wei; Xiujun; Gao; Mingzhong; Lv; Youchang; Shi; Xiangchao; Gao; Hailian; Zhou; Hongwei

    2012-01-01

    The geological conditions of the Pingdingshan coal mining group were used to construct a physical model used to study the distribution and evolution of mining induced cracks in the overburden strata.Digital graphics technology and fractal theory are introduced to characterize the distribution and growth of the mining induced fractures in the overburden strata of an inclined coal seam.A relationship between fractal dimension of the fracture network and the pressure in the overburden strata is suggested.Mining induced fractures spread dynamically to the mining face and up into the roof as the length of advance increases.Moreover,the fractal dimension of the fracture network increases with increased mining length,in general,but decreases during a period from overburden strata separation until the main roof collapses.It is a1so shown that overburden strata pressure plays an important role in the evolution of mining induced fractures and that the fractal dimension of the fractures increases with the pressure of the overburden.

  18. Evolution of a mining induced fracture network in the overburden strata of an inclined coal seam

    Institute of Scientific and Technical Information of China (English)

    Wei Xiujun; Gao Mingzhong; Lv Youchang; Shi Xiangchao; Gao Hailian; Zhou Hongwei

    2012-01-01

    The geological conditions of the Pingdingshan coal mining group were used to construct a physical model used to study the distribution and evolution of mining induced cracks in the overburden strata.Digital graphics technology and fractal theory are introduced to characterize the distribution and growth of the mining induced fractures in the overburden strata of an inclined coal seam.A relationship between fractal dimension of the fracture network and the pressure in the overburden strata is suggested.Mining induced fractures spread dynamically to the mining face and up into the roof as the length of advance increases.Moreover,the fractal dimension of the fracture network increases with increased mining length,in general,but decreases during a period from overburden strata separation until the main roof collapses.it is also shown that overburden strata pressure plays an important role in the evolution of mining induced fractures and that the fractal dimension of the fractures increases with the pressure of the overburden.

  19. A REIA Study of Marble Mining Activities in District- Nagaur (Rajasthan

    Directory of Open Access Journals (Sweden)

    Mohammed Arif

    2016-08-01

    Full Text Available Conventional and unscientific mining poses severe threat to life, public property and continuation of mining in the area. Incompatible land uses, huge waste dumps and large scale land transformation have resulted in land degradation, ponding, flooding, water contamination and health hazards in Makrana mining area. Segregation of dumps, compatible land use, research and development activity for use of marble slurry are suggested measures for reclamation and restoration of the degraded land. While for the purpose of development and economic upliftment of people, there is a need for establishment of industrial project, but these have to be environmentally friendly. Therefore it is essential to assess the impacts of mining on different environmental parameters, before starting the mining operations, so that abatement measures could be planned in advance for eco-friendly mining in the area. Environmental impact assessment (EIA is a systematic process that examines the environmental consequences of development action like mining, cement, transport, river valley. EIA systematically examines booth beneficial and adverse consequences of the proposed project and ensures that these impacts are taken into account during the project design.

  20. Characteristics of rockburst and its mining technology in mines

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In order to resolve how to mine under the condition of high stress with rockburst, this paper analyzes the law of rockburst, and considers that most of the rockbursts occur in the high stress area of stope. A method of rockburst forecast and its steps are given, and three different stages of rockburst are identified. Furthermore, this paper considers that blasting energy can effectively control rockburst by changing the characteristics of rock mass, which decreases the probability of rockburst happening. According to characteristics of rockburst, two feasible mining techniques under rockburst conditions are put forward, that is stoping-and-filling method, and sublevel caving method of mining without any sills in hanging wall.

  1. System dynamics model for environment - human systems interaction in the mining industry

    International Nuclear Information System (INIS)

    Use of advanced technology in the mining activities are polluting the natural environment, interfering with the normal life of the miners/residents. In this paper, health hazards due to underground workings and effect of environmental conditions on men are discussed. A composite system inter-relationship of the mining industries with the Government, society and environmental sectors is established. Allowing certain level of pollution, a system dynamics model is developed considering the parameters like more revenues from the mining industries, degradation of quality of life index - environmental index on long-term and short-term basis, new diseases due to pollution, social awareness, health care facilities, tax exemption etc. This model will help us to understand the optimisation of the parameters to establish the better interaction in the environment-human systems in the mining industries. 14 refs., 4 figs., 2 tabs

  2. Prediction Technology of Buried Water-Bearing Structures in Coal Mines Using Transient Electromagnetic Method

    Institute of Scientific and Technical Information of China (English)

    JIANG Zhi-hai; YUE Jian-hua; LIU Shu-cai

    2007-01-01

    Buried water-conducting and water-bearing structures in front of the driving head may easily lead to water bursts in coal mines. Therefore, it is very important for the safety of production to make an accurate and timely forecast about water bursts. Based on the smoke ring effect of transient electromagnetic fields, the principle of transient electromagnetic method used in detecting buried water-bearing structures in coal mines in advance, is discussed. Small multi-turn loop configurations used in coal mines are proposed and a field procedure of semicircular sector scanning is presented. The application of this method in one coal mine indicates that the technology has many advantages compared with others. The method is inexpensive, highly accurate and efficient. Suggestions are presented for future solutions to some remaining problems.

  3. Proceedings of the 2010 International Mine Water Association symposium : mine water and innovative thinking

    Energy Technology Data Exchange (ETDEWEB)

    Wolkersdorfer, C. [Cape Breton Univ., Sydney, NS (Canada); Freund, A. [CBU Press, Sydney, NS (Canada)] (eds.)

    2010-07-01

    Acid mine drainage is causing pollution in many waterways and ground water tables throughout the world. Hosted by the International Mine Water Association, this symposium examined issues related to acid mine drainage and explored various water treatment and water removal technologies and mine water chemistry analysis methods. Issues concerning the remediation and monitoring of abandoned mines were explored and recent innovations in geochemistry and geological engineering were presented. Water management issues in various types of geologic formations were included. The conference themes were: mine water issues and innovative mining methods; mine water engineering; mine water treatment, active systems; mine water treatment, passive systems; mine water geothermal, geochemistry and biochemistry uses; analysis of mine water and its chemistry; underground and surface coal mining; mine closures; legal and social aspects of mine water; mine tailings; the Cape Breton Development Corporation legacy; and the concept of a zero waste mine. The symposium featured 155 presentations, of which 32 have been catalogued separately for inclusion in this database. tabs., figs.

  4. Forest ecosystem and mining activity

    International Nuclear Information System (INIS)

    The Indian sub-continent has a tremendous diversity of plant and animal species. About 80,000 species of animals and 15,000 species of flowering plants have so far been described from India. Profound changes have taken place in this era, the changes driven by an unprecedented level of human demands for the resources. One major crisis is the loss of biological diversity. Tropical moist forest tracts harbouring the bulk of this diversity is of main concern. Many countries largely from tropical belts have been identified as megadiversity countries, for biodiversity conservation. India is one of them. Conserving India's heritage of biodiversity is a great challenge, with large biomass needs of its huge rural population and exploding resource demands of its growing urban-industrial-intensive agricultural sector. One such major impact on the biological diversity is mining. Main environmental problems of mining are deforestation, land damage, visual intrusion, and disturbance of hydrological systems. Opencast mining, specially with multi-seam or steep deposits involves creation of external overburden dumps which destroys further lands and causes visual intrusion. The present paper highlights a few case studies carried out to understand the biological environmental impact assessment due to mining activity and also discusses the management plan for eco-restoration of the mined areas and degraded lands. 3 refs., 4 figs., 4 tabs

  5. Mining Opinion in Online Messages

    Directory of Open Access Journals (Sweden)

    Norlela Samsudin

    2013-09-01

    Full Text Available The number of messages that can be mined from online entries increases as the number of online application users increases. In Malaysia, online messages are written in mixed languages known as ‘Bahasa Rojak’. Therefore, mining opinion using natural language processing activities is difficult. This study introduces a Malay Mixed Text Normalization Approach (MyTNA and a feature selection technique based on Immune Network System (FS-INS in the opinion mining process using machine learning approach. The purpose of MyTNA is to normalize noisy texts in online messages. In addition, FS-INS will automatically select relevant features for the opinion mining process. Several experiments involving 1000 positive movies feedback and 1000 negative movies feedback have been conducted. The results show that accuracy values of opinion mining using Naïve Bayes (NB, k-Nearest Neighbor (kNN and Sequential Minimal Optimization (SMO increase after the introduction of MyTNA and FS-INS.

  6. Data mining with Oracle Data Mining (11g)

    OpenAIRE

    BOŠTJANČIČ, GREGA

    2010-01-01

    Data mining is becoming more and more important on number of fields in our lives. It is used by doctors defining medical conditions, bankers dealing with risk management and so on. It is a process of discovering information, patterns and correlation with searching through bigger or smaller quantity of data. Every data mining process, if one wants it to be successful, must be composed from exact steps or tasks. To reach our goal, we often have to take a step back to improve the former state. T...

  7. Longwall mining “cutting cantilever beam theory” and 110 mining method in China—The third mining science innovation

    OpenAIRE

    Manchao He; Guolong Zhu; Zhibiao Guo

    2015-01-01

    With the third innovation in science and technology worldwide, China has also experienced this marvelous progress. Concerning the longwall mining in China, the “masonry beam theory” (MBT) was first proposed in the 1960s, illustrating that the transmission and equilibrium method of overburden pressure using reserved coal pillar in mined-out areas can be realized. This forms the so-called “121 mining method”, which lays a solid foundation for development of mining science and technology in Chin...

  8. Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

    Directory of Open Access Journals (Sweden)

    Hongdong Fan

    2015-07-01

    Full Text Available An approach to study the mechanism of mining-induced subsidence, using a combination of phase-stacking and sub-pixel offset-tracking methods, is reported. In this method, land subsidence with a small deformation gradient was calculated using time-series differential interferometric synthetic aperture radar (D-InSAR data, whereas areas with greater subsidence were calculated by a sub-pixel offset-tracking method. With this approach, time-series data for mining subsidence were derived in Yulin area using 11 TerraSAR-X (TSX scenes from 13 December 2012 to 2 April 2013. The maximum mining subsidence and velocity values were 4.478 m and 40 mm/day, respectively, which were beyond the monitoring capabilities of D-InSAR and advanced InSAR. The results were compared with the GPS field survey data, and the root mean square errors (RMSE of the results in the strike and dip directions were 0.16 m and 0.11 m, respectively. Four important results were obtained from the time-series subsidence in this mining area: (1 the mining-induced subsidence entered the residual deformation stage within about 44 days; (2 the advance angle of influence changed from 75.6° to 80.7°; (3 the prediction parameters of mining subsidence; (4 three-dimensional deformation. This method could be used to predict the occurrence of mining accidents and to help in the restoration of the ecological environment after mining activities have ended.

  9. Multisensor mine detector for peacekeeping: improved landmine detector concept (ILDC)

    Science.gov (United States)

    McFee, John E.; Carruthers, Al

    1996-05-01

    The Improved Landmine Detector Concept Project was initiated in Autumn 1994 to develop a prototype vehicle mounted mine detector for low metal content and nonmetallic mines for a peacekeeping role on roads. The system will consist of a teleoperated vehicle carrying a highly sensitive electromagnetic induction (EMI) detector, an infrared imager (IR), ground probing radar (GPR), and a thermal neutron activation (TNA) detector for confirmation. The IR, EMI and TNA detectors have been under test since 1995 and the GPR will be received in June 1996. Results of performance trials of the individual detectors are discussed. Various design configurations and their tradeoffs are discussed. Fusion of data from the detectors to reduce false alarm rate and increase probability of detection, a key element to the success of the system, is discussed. An advanced development model of the system is expected to be complete by Spring 1997.

  10. Predictive Index for slope instabilities in open pit mining

    CERN Document Server

    Ortega, J H; Lecaros, R; Medel, F; Padilla, F; García, A

    2016-01-01

    In this paper we study the stability and deformation of structures, in particular the wall of an open pit mine is studied by using information obtained from a variety of remote sensors and some extra data, with a novelty approach considering the use of mathematical models and data mining techniques. In particular we present two models to help the study the slope stability of pit and the possible occurrence of movements. Primarily we present an static model for slow movements, which will help us identify areas of possible risks areas with time horizons of several months or years, depends on the available information, before the wall start moving, and secondly a dynamic short-term model, which help us to determine risks of collapse zones with several days in advance. We remark that this methodology can be a powerful tool to plain future actions in order to simulate possible scenarios considering the production plans.

  11. DAMEWARE: A web cyberinfrastructure for astrophysical data mining

    CERN Document Server

    Brescia, Massimo; Longo, Giuseppe; Nocella, Alfonso; Garofalo, Mauro; Manna, Francesco; Esposito, Francesco; Albano, Giovanni; Guglielmo, Marisa; D'Angelo, Giovanni; Di Guido, Alessandro; Djorgovski, George S; Donalek, Ciro; Mahabal, Ashish A; Graham, Matthew J; Fiore, Michelangelo; D'Abrusco, Raffaele

    2014-01-01

    Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. The new panchromatic, synoptic sky surveys require advanced tools for discovering patterns and trends hidden behind data which are both complex and of high dimensionality. We present DAMEWARE (DAta Mining & Exploration Web Application REsource): a general purpose, web-based, distributed data mining environment developed for the exploration of large datasets, and finely tuned for astronomical applications. By means of graphical user interfaces, it allows the user to perform classification, regression or clustering tasks with machine learning methods. Salient features of DAMEWARE include its capability to work on large datasets with minimal human intervention, and to deal with a wide variety of real problems such as the classification of globular clusters in the galaxy NGC1399, the evaluation of photometric redshifts and, finally, the identification of candidate Active Galactic Nucl...

  12. A SURVEY ON ITEMSET MINING FOR LARGE TRANSACTION DATABASE

    OpenAIRE

    Ancy Jose*, Dr. John T Abraham

    2016-01-01

    Mining itemsets from the databases is an important data mining task.Frequent itemset mining refers to the mining of set of items occur frequently in the database.Utility itemset mining refers to the discovery of items with high utilities.   Many algorithms have been proposed for mining frequent item sets as well as utility item set.This paper focus on different algorithms and techniques for high utility itemset mining and frequent itemset mining which can handle large transaction...

  13. Data Preparation for Web Mining – A survey

    OpenAIRE

    Amog Rajenderan

    2012-01-01

    An accepted trend is to categorize web mining intothree main areas: web content mining, webstructure mining and web usage mining. Webcontent mining involves extractingdetails/information from the contents of webpagesand performing things like knowledge synthesis.Web structure mining involves the usage of graphtheory to understand website structure/hierarchy.Web usage mining involves the mining of usefulinformation from things like server logs, tounderstand what the user does while on the inte...

  14. CONTRIBUTION FOR MINING ATMOSPHERE CALCULATION

    Directory of Open Access Journals (Sweden)

    Franica Trojanović

    1989-12-01

    Full Text Available Humid air is an unavoidable feature of mining atmosphere, which plays a significant role in defining the climate conditions as well as permitted circumstances for normal mining work. Saturated humid air prevents heat conduction from the human body by means of evaporation. Consequently, it is of primary interest in the mining practice to establish the relative air humidity either by means of direct or indirect methods. Percentage of water in the surrounding air may be determined in various procedures including tables, diagrams or particular calculations, where each technique has its specific advantages and disadvantages. Classical calculation is done according to Sprung's formula, in which case partial steam pressure should also be taken from the steam table. The new method without the use of diagram or tables, established on the functional relation of pressure and temperature on saturated line, is presented here for the first time (the paper is published in Croatian.

  15. Understanding Educational Data Mining (EDM

    Directory of Open Access Journals (Sweden)

    Mr.Suhas G. Kulkarni

    2013-03-01

    Full Text Available Recently Educational Data Mining (EDM is successful in attracting a great deal of attention of researchers. It is an emerging multidisciplinary research area. Educational Data Mining (EDM is the process of discovering useful information from raw data generated and collected from educational systems which can be used by the different stakeholders. In EDM different techniques and methods for exploring data originating from various educational information systems can be developed. It is rich application area for data mining as well as a learning science, also due to the growing availability of educational data. EDM contributes towards the study of how students can learn and the settings in which they learn. It enables data-driven decision making for improving the current educational practice and learning material. The objective of this paper is to present a brief overview of EDM and to observe the development in the field of EDM.

  16. Advanced calculus

    CERN Document Server

    Nickerson, HK; Steenrod, NE

    2011-01-01

    ""This book is a radical departure from all previous concepts of advanced calculus,"" declared the Bulletin of the American Mathematics Society, ""and the nature of this departure merits serious study of the book by everyone interested in undergraduate education in mathematics."" Classroom-tested in a Princeton University honors course, it offers students a unified introduction to advanced calculus. Starting with an abstract treatment of vector spaces and linear transforms, the authors introduce a single basic derivative in an invariant form. All other derivatives - gradient, divergent, curl,

  17. The stability of structure's foundation rockmass over shallow abandoned mine goafs and its treatment - a case study

    International Nuclear Information System (INIS)

    A heavy coal dressing plant is constructed on an area seriously damaged by underground longwall mining in one of China's collieries. The Southwest of the main dressing plant stands on the ground over shallow abandoned mine goafs. Using the methods of boring and geophysical exploration and mining subsidence analysis, this paper studies the 3D distribution of fracture zones caused by mining's influence. Combined with the result of FEM, the paper analyses the stability of the main building's foundation rock mass, advances and adopts some safety measures, such as grouting the mining the fractured rockmass to consolidate it, appropriately designing the building to improve its anti-deformation ability, etc. The inspection results of geophysical prospecting show that consolidation grouting has attained the expected results. The settlement observation indicates that the settlement of the main building is smooth. 4 refs., 4 figs

  18. Kensington Mine Area Baseline Contaminants Study, Alaska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Hardrock mining for gold and other metals is proposed for the Kensington Mine, located on Lynn Canal in Southeast Alaska, approximately 45 miles north of Juneau....

  19. Data Mining: Going beyond Traditional Statistics

    Science.gov (United States)

    Zhao, Chun-Mei; Luan, Jing

    2006-01-01

    The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)

  20. Mining information kit for Aboriginal communities

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-07-01

    The opportunities for building relationships between Aboriginal communities and the mining industry were discussed, along with opportunities for communities to build capacity and to participate in the mining cycle. With nearly 1200 Aboriginal communities located within 200 km of minerals and metals activities in Canada, there is potential for significant economic and business growth in the communities. This educational tool informs Aboriginal communities across Canada about all the stages of the mining cycle, from early exploration to mine closure. Its purpose is to help Aboriginal people to better understand mining activities and identify the many opportunities that mining can bring to their communities. The information kit contains 4 modules corresponding to the main stages of the mining cycle. It provides examples of community experiences, positive relationships, and partnerships with mining companies. It also outlines the regulatory process to ensure Aboriginal peoples are well informed of the economic, social and environmental effects, benefits and opportunities in making decisions. refs., tabs., figs.

  1. Mining technology, economics and policy 1990

    International Nuclear Information System (INIS)

    The American Mining Conference is an industry association that encompasses: producers of most of America's metals, coal, and industrial and agricultural minerals; manufacturers of mining and mineral processing machinery, equipment and supplies; and engineering and consulting firms and financial institutions that serve the mining industry. The 1990 conference was held in New Orleans, Louisiana, September 23-26, 1990. The conference covered a broad spectrum of issues relevant to the mining industry. Beginning with presentations on accounting and taxation, the conference was divided into sessions covering the following topics: coal and acid rain, communication with the environmental community, employee relations, the environment and environmental technology, mineral exploration, finance, management, mineral processing and new technologies, minerals availability, the mining company, manufacturer, engineer partnership, precious metals, public lands, safety and health, new initiatives for surface mining and reclamation, technical aspects of surface mining and reclamation, and technical aspects of underground mining

  2. Study on Assessment of Mine Environments

    Institute of Scientific and Technical Information of China (English)

    WU Qiang; LI Wei; LI Ruijun

    2008-01-01

    Mine environmental evaluation is the key to mine environmental study. On the basis of the characteristics of the mine environmental problems, they are classified into (1) three wastes problem, (2) ground distortion, (3) contradiction among mine drainage, water supply, ecological environment,(4) desertification, and (5) soil erosion. The evaluation is the basis of mine environmental problem classification and investigation, mine environmental rehabilitation, and the information system constructed can be used for subsequent research of evaluation techniques. A synthetic assessment of the 5 kinds of mine environmental problems can be divided into single-factor or multi-factor synthetic assessments; while by the viewpoint of time, the mine environmental assessment can be classified as the historical assessment, the current status assessment and the forecasting assessment.

  3. Environmental effects of uranium exploration and mining

    International Nuclear Information System (INIS)

    Uranium exploration and mining is increasing as the Nation's demand for energy grows. The environmental impacts associated with this exploration and mining are not severe and compare favorably with impacts from the production of other energy resources

  4. Environmental health consequences of land mines.

    Science.gov (United States)

    Newman, R D; Mercer, M A

    2000-01-01

    This article reviews the literature on the environmental effects of anti-personnel land mines globally. Land mines represent an immediate environmental health problem. Between 60 and 70 million land mines are currently in place in over 70 countries. Designed to kill or main humans, including civilians, they injure an estimated 1, 200 persons and kill another 800 every week. Land-mine injuries tend to be serious; an estimated 300,000 persons worldwide have been disabled by them. The problem, politically very controversial, can be resolved only by preventing the further placement of mines, by demining of areas already mined, and by coping with the personal and environmental devastation that they have already caused. Environmental health personnel should be involved in promoting awareness of the problem, in improving services for land-mine victims, and in promoting political efforts to ban further use of land mines. PMID:10926729

  5. Volume activity 226Ra mine waters of Ostrava-Karvina coal mines

    International Nuclear Information System (INIS)

    The State Office for Nuclear Safety, Regional Center Kamenna administers, within the framework of supervision, an inspection on workplaces of mines and discharge radionuclides into the environment from mines of Ostrava-Karvina coal mines. Join-stock company OKD exploit coal in next mines Paskov, Darkov, Lazy and CSA. Join -stock company CMD exploit coal in mine CSM. In 2002 DIAMO, state enterprise took over a part of Ostrava-Karvina coal mines and its division ODRA pump mine waters on Water-pumping shaft Jeremenko, Water- pumping shaft Zofie and close Mine Barbora. A water samples were take on main outflow mine water of mine. The presentation summarizes results from monitoring mine waters from 1999 to 2004 years. Volume activity 226Ra mine waters of Mine Lazy-locality Dukla and Water-pumping shaft Zofie are higher then clearance level from Regulation No.307/2002 Coll. On Radiation Protection. They are comparable with mine waters of uranium mines. Volume activity 226Ra surface waters under outflow perform, without stream Petrvaldska struzka under outflow Water-pumping shaft Zofie, guidance level for contamination surface waters from Government regulation No.61/2003 Coll. Volume activity 226Ra surface waters under outflow coal mines are higher then volume in surface waters under uranium mines, because mine waters from uranium mines are decontaminate on decontamination stations. Considering that volume activities 226Ra surface water of Orlovska struzka stream are under guidance level for contamination surface waters from Government regulation No.61/2003 Coll.. don't urgency arrangement to decontamination mine waters. Mass activity 226Ra in bed sediment under outflow Mine Lazy-locality Dukla are comparable with exemption level from Regulation No.307 /2002 Coll. On Radiation Protection. (authors)

  6. Biomarker Identification Using Text Mining

    Directory of Open Access Journals (Sweden)

    Hui Li

    2012-01-01

    Full Text Available Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.

  7. Data mining methods and applications

    CERN Document Server

    Lawrence, Kenneth D; Klimberg, Ronald K

    2007-01-01

    With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated breakdowns and complex analysis through multivariate, evolutionary, and neural net methodsLearn how to classify data and maintain qualityTransform Data into Business Acumen Data Mining Methods and

  8. Mining the bulk positron lifetime

    Energy Technology Data Exchange (ETDEWEB)

    Aourag, H.; Guittom, A. [Centre de Recherche Nucleaire d' Alger (CRNA), Alger Gare - Algiers (Algeria)

    2009-02-15

    We introduce a new approach to investigate the bulk positron lifetimes of new systems based on data-mining techniques. Through data mining of bulk positron lifetimes, we demonstrate the ability to predict the positron lifetimes of new semiconductors on the basis of available semiconductor data already studied. Informatics techniques have been applied to bulk positron lifetimes for different tetrahedrally bounded semiconductors in order to discover computational design rules. (copyright 2009 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

  9. Data Mining for Target Marketing

    Science.gov (United States)

    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.

  10. FOUR CENTURIES OF BAUXITE MINING

    Directory of Open Access Journals (Sweden)

    Rikard Marušić

    1993-12-01

    Full Text Available In the paper the results of many years of archival and field investigations in the history of bauxite mining of the three authors are presented. It was established that in Istria in the valley of the river Mirna beneath the Castle of Sovinjak bauxite was exploited already 400 years ago, and that 1808 about this ore the first scientific account was published. Accordingly, the statements in the professional literature that the first bauxite mine opened 1873 in the French Provence and that the bauxite ore for the first time was scientifically described 1821 have to be revised. About this necessary revision here the essential proofs are produced.

  11. Mining the bulk positron lifetime

    International Nuclear Information System (INIS)

    We introduce a new approach to investigate the bulk positron lifetimes of new systems based on data-mining techniques. Through data mining of bulk positron lifetimes, we demonstrate the ability to predict the positron lifetimes of new semiconductors on the basis of available semiconductor data already studied. Informatics techniques have been applied to bulk positron lifetimes for different tetrahedrally bounded semiconductors in order to discover computational design rules. (copyright 2009 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

  12. Data mining in nuclear engineering

    International Nuclear Information System (INIS)

    Data mining (DM) is a process to find the useful and interesting information in huge data. Support Vector Machine (SVM) is a new technique in data mining, but Support Vector Regression (SVR) is the applying of SM in regression . Compared with the traditional regression methods, SVR has not been specified beforehand, and is fitted directly from the inner relationship of data, thus the simulation results are more accurate. This paper introduces the mathematical theory of SVR and uses SVR to process the data of the moving characteristics of molten metal droplets in serious nuclear engineering accidents. (authors)

  13. Cogema: a diversified mining portfolio

    International Nuclear Information System (INIS)

    With a total production of more than 6000 t of uranium in 1998, Cogema is one of the first mining uranium producer (20% of the worldwide production). This short paper summarizes Cogema's mining activities worldwide. Cogema's reserves are located in six different countries: France (Forez, Morvan, Limousin, Vendee, Herault), Niger (Air, Akouta), Gabon (Mounana, Oklo, Mikouloungou), Canada (Cluff Lake, McLean Lake, Midwest, Cigar Lake, Mc Arthur river), USA (Wyoming), Australia (Koongarra, Ranger, Jabiluka) and deposits are exploited by Cogema in five of these countries (not in Australia). Prospecting work is carried on in Canada (Kiggavik, Sissons), Australia (Arnhem Land) and central Asia (Kazakhstan, Mongolia, Uzbekistan). (J.S.)

  14. Reversal of underground mine ventilation

    Energy Technology Data Exchange (ETDEWEB)

    Ray, S.K.; Sahay, N.; Singh, R.P.; Singh, A.K.; Bhowmick, B.C. [Central Mining Research Institute, Dhanbad (India)

    2002-09-01

    Reversal of main ventilation is one of the important means to isolate a fire during emergency. In America, it has been reported that by fan reversal lives have been saved in underground coal mines. Indian coal mines have so far not come forward to adopt this method. Not much research work has so far been carried out in India. This paper deals with international review of the work carried out in other countries. Laws relating to the reversal of ventilation in different countries of the world is discussed. The effect of reversal on goaf gases and adjustment of ventilation flow is also outlined. 17 refs., 1 fig., 2 tabs.

  15. Proceedings of the fourth WVU conference on coal mine electrotechnology

    Energy Technology Data Exchange (ETDEWEB)

    Aldridge, M.D. (ed.)

    1978-10-01

    Thirty-nine papers from the Proceedings have been entered individually into EDB and ERA. Topics covered included mine power systems, mine instrumentation, mine illumination, mine communications, automatic control and monitoring, regulations, power distribution instrumentation, power distribution equipment, electrical systems for mine trolleys, on-line computer control of mines and monitoring using microprocessors. (LTN)

  16. 30 CFR 49.12 - Availability of mine rescue teams.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Availability of mine rescue teams. 49.12... TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.12 Availability of mine rescue teams. (a) Except where alternative compliance is permitted for small and remote mines (§ 49.13),...

  17. 30 CFR 49.18 - Training for mine rescue teams.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Training for mine rescue teams. 49.18 Section... TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.18 Training for mine rescue teams. (a) Prior to serving on a mine rescue team each member shall complete, at a minimum, an...

  18. Opencast mining by the Aller Group. Incidencia de la mineria a cielo abierto del Grupo Aller

    Energy Technology Data Exchange (ETDEWEB)

    Jardon, S.

    1985-01-01

    Technical advances mean that it is now possible to work coal-rich areas belonging to the Aller Group, where, at one time, deep-mining would have been uneconomical. There are approximately 8,500,000 t of reserves to be extracted by opencast methods. 1 fig., 4 tabs.

  19. Strategic Management of Coal Mining Industry Efficiency

    OpenAIRE

    Olga Tkacheva; Anna Batashova; Irina Zhukova; Anna Smakhtina; Liudmila Topchienko

    2015-01-01

    The purpose of this study is to develop recommendations for the coal mining industry efficiency strategic management. The authors developed a mathematical economic models to maximize the net present value of the index of companies in the composition of the coal mining industry and calculated the efficiency of Russian enterprises in the composition of the coal mining industry in Russia in 2013 using MathCad. The authors identified the main problems of coal mines and in the quality of their sol...

  20. Fibre optic sensors for mine hazard detection

    International Nuclear Information System (INIS)

    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.

  1. Pattern discovery techniques in Web mining

    Directory of Open Access Journals (Sweden)

    Mirela Pater

    2008-05-01

    Full Text Available With the huge amount of information availableonline, the World Wide Web is a fertile area for datamining. Application of data mining techniques to theWorld Wide Web, referred to as Web mining, has beenthe focus of several recent research projects and papers.In this paper we define Web mining and present anoverview of the various research issues, techniques anddevelopment efforts. We briefly describe the strategies forpattern discovery techniques in Web mining.

  2. PMLAB: An scripting environment for process mining

    OpenAIRE

    Carmona Vargas, Josep; Solé, Marc

    2014-01-01

    In a decade of process mining research, several algorithms have been proposed to solve particular process mining tasks. At the same pace, tools have appeared both in the academic and the commercial domains. These tools have enabled the use of process mining practices to a rather limited extent. In this paper we advocate for a change in the mentality: process mining may be an exploratory discipline, and PMLAB - a Python-based scripting environment supporting this - is proposed. This demo prese...

  3. Scalable Text Mining with Sparse Generative Models

    OpenAIRE

    Puurula, Antti

    2016-01-01

    The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers. Text mining is an expanding field of research that seeks to utilize the information contained in vast document collections. General data mining methods based on machine learning face challenges with the scale of text data, posing a need for scalable text mining methods. This thesis proposes a solution to scalable text mining: gener...

  4. Pbm: A new dataset for blog mining

    OpenAIRE

    Aziz, Mehwish; Rafi, Muhammad

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpret...

  5. Evaluating Water Management Practice for Sustainable Mining

    OpenAIRE

    Xiangfeng Zhang; Lei Gao; Damian Barrett; Yun Chen

    2014-01-01

    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 pr...

  6. Coalbed methane resource of Jingcheng mining area

    Energy Technology Data Exchange (ETDEWEB)

    Shen, Y.; Zhang, Z.; Wang, H. [Shanxi Coal Field Research Institute, Taiyuan (China)

    2001-06-01

    Through researching a large quantity of data on the coalbed methane (CBM) resource in Jingcheng mining area, a scheme of CBM resource statistical division is put forward, which comprises 4 sections and 3 grades. According to this division scheme, the CBM resources in Daning district No.2 mine, Panzhuang district No.1 mine, and Panzhung district No.2 mine are calculated in detail. 4 tabs.

  7. An experimental program on advanced robotics

    International Nuclear Information System (INIS)

    Remote handling in hostile environments, including space, nuclear facilities, and mines, requires hybrid systems which permit close cooperation between state of the art teleoperation and advanced robotics. Teleoperation using hand controller commands and television feedback can be enhanced by providing force-feel feedback and simulation graphics enhancement of the display. By integrating robotics features such as computer vision and force/tactile feedback with advanced local control systems, the overall effectiveness of the system can be improved and the operator workload reduced. This has been demonstrated in the laboratory. Applications such as a grappling drifting satellite or transferring material at sea are envisaged

  8. Numerical Study on 4-1 Coal Seam of Xiaoming Mine in Ascending Mining

    Directory of Open Access Journals (Sweden)

    Lan Tianwei

    2015-01-01

    Full Text Available Coal seams ascending mining technology is very significant, since it influences the safety production and the liberation of dull coal, speeds up the construction of energy, improves the stability of stope, and reduces or avoids deep hard rock mining induced mine disaster. Combined with the Xiaoming ascending mining mine 4-1, by numerical calculation, the paper analyses ascending mining 4-1 factors, determines the feasibility of ascending mining 4-1 coalbed, and proposes roadway layout program about working face, which has broad economic and social benefits.

  9. 矿区环境重金属污染及其机体健康效应的研究进展%Advance in the research of heavy metal pollution in mining areas and its effect on the health of workers.(in English)

    Institute of Scientific and Technical Information of China (English)

    苏玮玮; 何作顺

    2009-01-01

    Objective To explore heavy metal pollution in mining areas and its effect on health of workers. Methods The literatures concerning heavy metal pollution in mining areas and its effect on health were eolleteeted and analyzed.Results Heavy metals entered into human body through food chains aound mining areas and the cardiovascular system,blood system, endocrine system, immune system, reproductive system as well as nerve system were affected. Conclusion Heavy metal pollution in mining areas is serious and effective measures be taken.%目的 探讨矿区环境重金属污染及其机体健康效应.方法 收集、分析国内外相关文献.结果 矿区环境介质中的重金属污染物通过食物链进入机体产生效应,主要对机体心血管系统、造血系统、内分泌系统、免疫系统、生殖系统、神经系统等产生影响.结论 矿区环境重金属污染问题严峻,需采取有效的治理措施减少矿区重金属污染.

  10. Impact of Mining on Livelihoods of Rural Households. A Case Study of Farmers in the Wassa Mining Region, Ghana

    OpenAIRE

    Adjei, Emmanuel

    2007-01-01

    Radical reforms and liberalization in the mining sector of the Ghanaian economy stimulated increase in mining sector investment with new multinational mining companies coming on board as well as the rehabilitation of old mines. The cumulative effect was the intensification of mining and the expansion in the operation of mines across the mining zones in the country. Livelihoods of households in the rural communities in the catchments of the mines got threatened by the expansion of concessions ...

  11. GIS-based environmental database for assessing the mine pollution : a case study of an abandoned mine site in Morocco

    OpenAIRE

    Khalil, A.; Hanich, L.; Hakkou, R.; Lepage, Michel

    2014-01-01

    Morocco with important mining activities is increasingly concerned about impacts of mining on the environment. In Morocco, there are approximately 200 abandoned mine sites which vary from small scale underground mines to large scale open-pit mines. Some of these mines, with reactive tailings and waste rocks, are problematic. Indeed, Acid Mine Drainage (AMD) pollution from abandoned mines is responsible for soil and water contamination, land resources degradation, changes in landscapes, habita...

  12. Evolution of Acid Mine Drainage Formation in Sulphidic Mine Tailings

    Directory of Open Access Journals (Sweden)

    Bernhard Dold

    2014-07-01

    Full Text Available Sulphidic mine tailings are among the largest mining wastes on Earth and are prone to produce acid mine drainage (AMD. The formation of AMD is a sequence of complex biogeochemical and mineral dissolution processes. It can be classified in three main steps occurring from the operational phase of a tailings impoundment until the final appearance of AMD after operations ceased: (1 During the operational phase of a tailings impoundment the pH-Eh regime is normally alkaline to neutral and reducing (water-saturated. Associated environmental problems include the presence of high sulphate concentrations due to dissolution of gypsum-anhydrite, and/or effluents enriched in elements such as Mo and As, which desorbed from primary ferric hydroxides during the alkaline flotation process. (2 Once mining-related operations of the tailings impoundment has ceased, sulphide oxidation starts, resulting in the formation of an acidic oxidation zone and a ferrous iron-rich plume below the oxidation front, that re-oxidises once it surfaces, producing the first visible sign of AMD, i.e., the precipitation of ferrihydrite and concomitant acidification. (3 Consumption of the (reactive neutralization potential of the gangue minerals and subsequent outflow of acidic, heavy metal-rich leachates from the tailings is the final step in the evolution of an AMD system. The formation of multi-colour efflorescent salts can be a visible sign of this stage.

  13. Technological Advancements

    Science.gov (United States)

    Kennedy, Mike

    2010-01-01

    The influx of technology has brought significant improvements to school facilities. Many of those advancements can be found in classrooms, but when students head down the hall to use the washrooms, they are likely to find a host of technological innovations that have improved conditions in that part of the building. This article describes modern…

  14. Advanced ferroelectricity

    CERN Document Server

    Blinc, R

    2011-01-01

    Advances in the field of ferroelectricity have implications both for basic physics and for technological applications such as memory devices, spintronic applications and electro-optic devices, as well as in acoustics, robotics, telecommunications and medicine. This book provides an account of recent developments in the field.

  15. International SUSMIN-project aims at sustainable gold mining in EU

    Science.gov (United States)

    Backnäs, Soile; Neitola, Raisa; Turunen, Kaisa; Lima, Alexandre; Fiúza, António; Szlachta, Malgorzata; Wójtowicz, Patryk; Maftei, Raluca; Munteanu, Marian; Alakangas, Lena; Baciu, Calin; Fernández, Dámaris

    2015-04-01

    Although the gold demand has been constantly increasing in past years, the commodity findings have been decreasing and the extraction of gold has complicated due to increasing complexity and decreasing grade of the ores. Additionally, even gold mining could increase economical development, it has also challenges in eco-efficiency and extraction methods (e.g. cyanide). Thus, the novel energy and resource-efficient methods and technologies for mineral processing should be developed to concentrate selectively different gold bearing minerals. Furthermore, technologies for efficient treatment of mine waters, sustainable management of wastes, and methods to diminish environmental and social impacts of mining are needed. These problems will be addressed by the three year long project SUSMIN. The SUSMIN-project identifies and evaluates environmental impacts and economical challenges of gold mining within EU. The objective of the project is to increase the transnational cooperation and to support environmentally, socially and economically sustainable viable gold production. The focus is to develop and test geophysical techniques for gold exploration, eco-efficient ore beneficiation methods and alternatives for cyanide leaching. Additionally, the research will improve treatment methods for mine waters by the development and testing of advanced adsorbents. The research on socio-economic issues pursues to develop tools for enhancing the mechanisms of the corporate social responsibility as well as community engagement and management of the relations with the stakeholders. Moreover, with the environmental risk assessment and better knowledge of the geochemistry and long-term transformation of the contaminants in mining wastes and mine waters, the mining companies are able to predict and prevent the impacts to the surrounding environment, resulting in an improved environmental management solution. The SUSMIN consortium led by Geological Survey of Finland (GTK) includes seven

  16. 煤矿开采技术浅论%On Technology of Coal Mining

    Institute of Scientific and Technical Information of China (English)

    田毅

    2014-01-01

    This paper describes the significance of coal mining, explains the method and process of coal mining. While the paper analyzes a variety of advanced technology and its positive function for production, gently inclined thin seam longwall mining, Gently inclined thick coal seam mining thickness of a large mining height mining and other fully mechanized mining equipment safeguard system of high yield and high efficiency. It also talks about the coal mining technology and environmental protection, green mining, analyzes underground coal gasification technology. This paper is written according to the writer's own experience, welcome to redress false.%本文从煤炭开采的意义开始谈起,解释了采煤的方法和工艺,分析了各种领先技术以及对生产的促进、缓倾斜薄煤层长壁开采、缓倾斜厚煤层一次采全厚大采高长壁采和各种综采高产高效综采设备保障体系几个细节问题,诠释了深矿井开采技术,谈到了采煤技术与环境保护、绿色开采的价值,最后以煤炭地下气化技术分析结束。本文都是经验所得,一管之窥,分享同仁,敬请匡误扶正。

  17. Observation and Interpretation of Mining Induced Subsidence With Permanent Scatterers

    Science.gov (United States)

    Kircher, M.; Neugebauer, H. J.; Rabus, B.

    2002-12-01

    Mining activities in hard coal areas lead to widespread surface subsidence in numerous areas. This effect is enforced by the continuous loss of matter in the underground because most of the excavated soil is stored on surface dumps and not restored in the mines. Subsidence occurs intensively under cropped area and leads to spatial and temporal influences of the environment. In brown coal areas the groundwater table has to be lowered below the surface mining level to provide mining of brown coal in opencast pits. This is guaranteed by using fountains that extract the groundwater around the mining area. The slow groundwater stream of the underground causes a total drawdown also resulting in depressions around the mining areas. Mining induced subsidences show significant amounts of motion with rates ranging from some millimetres to some decimetres per measure interval. The changes by drawdown occurred in a range of 10 years while the effects of the underground mining show changes on surface in ranges less than one year. The aim of our work is to investigate the subsidence in two broad German mining areas by means of remote sensing. The investigated areas are the Ruhr area where 80% of the German hard coal is mined and the brown coal surface mining in the Lower Rhine Embayment. Within this second area of investigation some faults occur which divide the underground in clods. As a result this region shows the strongest gradient of the so far ground measured motions as well in strike as in cross strike of the tectonic system. Experientially, the acquisition of the ground changes has been gathered by ground based levelling which provide line information. The subsidences are now monitored as a large coherent area using remote sensing technologies, like SAR Interferometry and Permanent Scatterers. The Permanent Scatterer method is based on SAR Interferometry and is advanced at the German Aerospace Center. Ground measurements are used to validate the new Permanent Scatterer

  18. URL Mining Using Agglomerative Clustering Algorithm

    Directory of Open Access Journals (Sweden)

    Chinmay R. Deshmukh

    2015-02-01

    Full Text Available Abstract The tremendous growth of the web world incorporates application of data mining techniques to the web logs. Data Mining and World Wide Web encompasses an important and active area of research. Web log mining is analysis of web log files with web pages sequences. Web mining is broadly classified as web content mining web usage mining and web structure mining. Web usage mining is a technique to discover usage patterns from Web data in order to understand and better serve the needs of Web-based applications. URL mining refers to a subclass of Web mining that helps us to investigate the details of a Uniform Resource Locator. URL mining can be advantageous in the fields of security and protection. The paper introduces a technique for mining a collection of user transactions with an Internet search engine to discover clusters of similar queries and similar URLs. The information we exploit is a clickthrough data each record consist of a users query to a search engine along with the URL which the user selected from among the candidates offered by search engine. By viewing this dataset as a bipartite graph with the vertices on one side corresponding to queries and on the other side to URLs one can apply an agglomerative clustering algorithm to the graphs vertices to identify related queries and URLs.

  19. The Lure of Statistics in Data Mining

    Science.gov (United States)

    Grover, Lovleen Kumar; Mehra, Rajni

    2008-01-01

    The field of Data Mining like Statistics concerns itself with "learning from data" or "turning data into information". For statisticians the term "Data mining" has a pejorative meaning. Instead of finding useful patterns in large volumes of data as in the case of Statistics, data mining has the connotation of searching for data to fit preconceived…

  20. Computer graphics for the mining industry

    Energy Technology Data Exchange (ETDEWEB)

    1984-01-01

    The following papers were presented: information graphics in the mining industry; role of the personal computer in graphics; the rastergraphics approach; trends in graphics software; raster technology in graphics; computer graphics in mine planning; application of computer graphics in mine fire detection. 3 papers have been abstracted separately.

  1. Using Data Mining Techniques in Customer Segmentation

    Directory of Open Access Journals (Sweden)

    Hasan Ziafat

    2014-09-01

    Full Text Available Data mining plays important role in marketing and is quite new. Although this field expands rapidly, data mining is still foreign issue for many marketers who trust only their experiences. Data mining techniques cannot substitute the significant role of domain experts and their business knowledge. In the other words, data mining algorithms are powerful but cannot effectively work without the active support of business experts. We can gain useful results by combining these techniques and business expertise. For instance ability of a data mining technique can be substantially increased by combining person experience in the field or information of business can be integrated into a data mining model to build a more successful result. Moreover, these results should always be evaluated by business experts. Thus, business knowledge can help and enrich the data mining results. On the other hand, data mining techniques can extract patterns that even the most experienced business people may have missed. In conclusion, the combination of business domain expertise with the power of data mining techniques can help organizations gain a competitive advantage in their efforts to optimize customer management. Clustering algorithms, a group of data mining technique, is one of most common used way to segment data set according to their similarities. This paper focuses on the topic of customer segmentation using data mining techniques. In the other words, we theoretically discuss about customer relationship management and then utilize couple of data mining algorithm specially clustering techniques for customer segmentation. We concentrated on behavioral segmentation.

  2. 78 FR 39531 - Mine Rescue Teams

    Science.gov (United States)

    2013-07-01

    ... Rescue Teams; CFR Correction #0;#0;Federal Register / Vol. 78 , No. 126 / Monday, July 1, 2013 / Rules... Rescue Teams CFR Correction In Title 30 of the Code of Federal Regulations, Parts 1 to 199, revised as of... Miner Act Requirements for Underground Coal Mine Operators and Mine Rescue Teams Type of mine...

  3. Knowledge discovery data and text mining

    CERN Document Server

    Olmer, Petr

    2008-01-01

    Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge discovery and extraction. Basic de nitions are given together with the description of a standard data mining process. Common models and algorithms are presented. Attention is given to text clustering, how to convert unstructured text to structured data (vectors), and how to compute their importance and position within clusters.

  4. Application Of Data Mining In Bioinformatics

    OpenAIRE

    KHALID RAZA

    2012-01-01

    This article highlights some of the basic concepts of bioinformatics and data mining. The major research areas of bioinformatics are highlighted. The application of data mining in the domain of bioinformatics is explained. It also highlights some of the current challenges and opportunities of data mining in bioinformatics.

  5. Association Rule Mining from an Intelligent Tutor

    Science.gov (United States)

    Dogan, Buket; Camurcu, A. Yilmaz

    2008-01-01

    Educational data mining is a very novel research area, offering fertile ground for many interesting data mining applications. Educational data mining can extract useful information from educational activities for better understanding and assessment of the student learning process. In this way, it is possible to explore how students learn topics in…

  6. Zambia Mining Investment and Governance Review

    OpenAIRE

    World Bank

    2016-01-01

    The Zambia Mining Investment and Governance Review (MInGov) collects and shares information on mining sector governance, its attractiveness to investors and how its activities affect national development. It reviews sector performance from the perspective of three main stakeholder groups– government, investors in the mining value chain and civil society – and identifies gaps between declar...

  7. Mining Foundations, Trust and Funds : A Sourcebook

    OpenAIRE

    World Bank, (WB)

    2010-01-01

    Mining operations increasingly exist in remote parts of developing countries, and with the combined challenges in public services delivery and development assistance, this is drawing the mining sector further into catalyzing development at local, regional and national levels. Responding to this multifaceted trend, the mining sector has increasingly turned to foundations, trusts and funds a...

  8. On-Board Mining in the Sensor Web

    Science.gov (United States)

    Tanner, S.; Conover, H.; Graves, S.; Ramachandran, R.; Rushing, J.

    2004-12-01

    On-board data mining can contribute to many research and engineering applications, including natural hazard detection and prediction, intelligent sensor control, and the generation of customized data products for direct distribution to users. The ability to mine sensor data in real time can also be a critical component of autonomous operations, supporting deep space missions, unmanned aerial and ground-based vehicles (UAVs, UGVs), and a wide range of sensor meshes, webs and grids. On-board processing is expected to play a significant role in the next generation of NASA, Homeland Security, Department of Defense and civilian programs, providing for greater flexibility and versatility in measurements of physical systems. In addition, the use of UAV and UGV systems is increasing in military, emergency response and industrial applications. As research into the autonomy of these vehicles progresses, especially in fleet or web configurations, the applicability of on-board data mining is expected to increase significantly. Data mining in real time on board sensor platforms presents unique challenges. Most notably, the data to be mined is a continuous stream, rather than a fixed store such as a database. This means that the data mining algorithms must be modified to make only a single pass through the data. In addition, the on-board environment requires real time processing with limited computing resources, thus the algorithms must use fixed and relatively small amounts of processing time and memory. The University of Alabama in Huntsville is developing an innovative processing framework for the on-board data and information environment. The Environment for On-Board Processing (EVE) and the Adaptive On-board Data Processing (AODP) projects serve as proofs-of-concept of advanced information systems for remote sensing platforms. The EVE real-time processing infrastructure will upload, schedule and control the execution of processing plans on board remote sensors. These plans

  9. New autobahn through an active opencast mine; Neue Autobahn durch einen aktiven Tagebau

    Energy Technology Data Exchange (ETDEWEB)

    Koether, Martin [RWE Power AG, Koeln (Germany). Construction Engineering Dept.; Reeh, Florian [RWE Power AG, Koeln (Germany). Bauplanung und -genehmigung

    2011-11-15

    In the Rhenish lignite mining area, the reconstruction of the autobahn A44 and the widening of the autobahn A46 are required due to the advancing Garzweiler opencast mine in the triangle formed by the cities of Moenchengladbach, Titz and Grevenbroich so that the A61 between Moenchengladbach-Wanlo and Titz-Jackerath can make way for mining operations in time. The regional-planning foundation for this project was laid in cooperation with the Federal Ministry of Transport as early as 1995 when the Lignite Mining Plan was approved. Today, in the year 2011, the formal public planning decision has been made, i.e. the building permit for the measure granted. In approx. 12 years of planning, decisive milestones were reached step by step: environmental impact study, routing, draft plan, an plan approval. The years until approx. 2017 are to be used for construction work in order to successfully complete the project. The challenge that the opencast mine operator has to meet is to prepare the approx. 7 km long route section within the opencast mine in the subgrade such by materials management that the approved new autobahn can be constructed on the dump surface as planned. To this end, the subgrade within the dump is prepared during regular operation by the mine according to a dumping concept reviewed by experts. The materials used and the layered dump structure minimize settlements. A stabilizing gravel bed as additional surface layer on the dump is to be used especially for areas with a short resting time so as to offset differential settlements as well as to anticipate, homogenize and minimize settlements. A close cooperation between the mine operator, who is responsible for the proper preparation of the subgrade, and the road construction authority, which has to define the road construction requirements, is imperative especially in this project. The challenging underlying conditions necessitate a thorough grasp of the tasks performed by the partner and a great willingness

  10. Social Housing for Mine Workers

    DEFF Research Database (Denmark)

    Allen, Nacho Ruiz; Ruiz Esquiroz, Jose Antonio

    2015-01-01

    The purpose of the project was to design and build state subsidized housing in Cerredo (Asturias), a mining town located in the very heart of the Cantabrian Mountains, where no residential construction had been made for over 25 years. The volumetric we propose has an angular shape. It is a geomet...

  11. Data mining in cancer research

    OpenAIRE

    Paulo J G Lisboa; Vellido Alcacena, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, Michelle; Martín Guerrero, José D.; Biganzoli, Elia

    2010-01-01

    This article is not intended as a comprehensive survey of data mining applications in cancer. Rather, it provides starting points for further, more targeted, literature searches, by embarking on a guided tour of computational intelligence applications in cancer medicine, structured in increasing order of the physical scales of biological processes.

  12. Data Mining in Astronomical Databases

    OpenAIRE

    Borne, Kirk D

    2000-01-01

    Comment: 3 pages. Uses eso.sty style file. Paper to appear in the proceedings of the August 2000 "Mining the Sky" conference at MPA/ESO/MPE, Garching, Germany. (For figures and demos related to sample user scenarios, see http://adc.gsfc.nasa.gov/adc/adc_science/adc-science-scenario-papers.html .) (Revised version v2 only corrected these comments.)

  13. Informatics & Data-Mining Group

    Science.gov (United States)

    Aims to create software tools to support the RAS Initiative; to mine existing large datasets, such as TCGA, for RAS-centric data; and to help integrate internal and external data in ways that elucidate the biology of RAS-driven cancers.

  14. Mining in the European Arctic

    NARCIS (Netherlands)

    van Dam, Karin; Scheepstra, Adriana; Gille, Johan; Stepien, Adam; Koivurova, Timo; Stepien, Adam; Koivurova, Timo; Kankaanpää, Paula

    2016-01-01

    The European Arctic has been recently experiencing an upsurge in mining activities. This is reflected in an on-going interest from the industry, regulators and the public. However, current and future prospects are highly sensitive to mineral price fluctuations. The EU is a major consumer and importe

  15. Mining in the European Arctic

    NARCIS (Netherlands)

    van Dam, Kim; Scheepstra, Annette; Gille, Johan; Stępień, Adam; Koivurova, Timo

    2014-01-01

    The European Arctic is currently experiencing an upsurge in mining activities, but future developments will be highly sensitive to mineral price fluctuations. The EU is a major consumer and importer of Arctic raw materials. As the EU is concerned about the security of supply, it encourages domestic

  16. Mining and Indexing Graph Databases

    Science.gov (United States)

    Yuan, Dayu

    2013-01-01

    Graphs are widely used to model structures and relationships of objects in various scientific and commercial fields. Chemical molecules, proteins, malware system-call dependencies and three-dimensional mechanical parts are all modeled as graphs. In this dissertation, we propose to mine and index those graph data to enable fast and scalable search.…

  17. Investigating MOOCs through Blog Mining

    Science.gov (United States)

    Chen, Yong

    2014-01-01

    MOOCs (massive open online course) is a disruptive innovation and a current buzzword in higher education. However, the discussion of MOOCs is disparate, fragmented, and distributed among different outlets. Systematic, extensively published research on MOOCs is unavailable. This paper adopts a novel method called blog mining to analyze MOOCs. The…

  18. Water in mining 2009. Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2009-07-01

    Subjects covered include treatment technologies and treatment practices, water efficiency and quality, water accounting and auditing, as well AS probabilistic forecasting and systems modelling, and a number of papers from operating mines. Management of ground water was an important theme at the conference. The proceedings are also available on CD-ROM (ISBN 978-1-921522-05-5).

  19. In situ solution mining technique

    International Nuclear Information System (INIS)

    A method of in situ solution mining is disclosed in which a primary leaching process employing an array of 5-spot leaching patterns of production and injection wells is converted to a different pattern by converting to injection wells all the production wells in alternate rows

  20. Business rule mining from spreadsheets

    NARCIS (Netherlands)

    Roy, S.

    2015-01-01

    Business rules represent the knowledge that guides the operations of a business organization. They are implemented in software applications used by organizations, and the activity of extracting them from software is known as business rule mining. It has various purposes amongst which migration and g