WorldWideScience

Sample records for advance mining

  1. Development history of coal mine and advanced mining technology; Tanko no rekishi to saitan gijutsu no shinpo

    Energy Technology Data Exchange (ETDEWEB)

    Nohara, H. [Tokyo (Japan)

    2000-04-20

    Japanese coal mine was get a full supply for the construction of the modernize nation in Meiji and the reconstruction of the industry after the second world war. This perfection was completed by the full coal resources and the advanced coal mining technology. But, japanese recent coal seam is too deep for the economical mining. And yet, advanced coal mining technology of japan is necessary for the coal mine of the developing country. (author)

  2. 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.

  3. Advances in machine learning and data mining for astronomy

    CERN Document Server

    Way, Michael J

    2012-01-01

    Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book's introductory part provides context to issues in the astronomical sciences that are also important to health

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

    Directory of Open Access Journals (Sweden)

    S.Nagaprasad Sri

    2010-09-01

    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 to which 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.

  7. 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

  8. 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.

  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. 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.

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

    NARCIS (Netherlands)

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

    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

  12. 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.

  13. 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.

  14. Advancing science through mining libraries, ontologies, and communities.

    Science.gov (United States)

    Evans, James A; Rzhetsky, Andrey

    2011-07-08

    Life scientists today cannot hope to read everything relevant to their research. Emerging text-mining tools can help by identifying topics and distilling statements from books and articles with increased accuracy. Researchers often organize these statements into ontologies, consistent systems of reality claims. Like scientific thinking and interchange, however, text-mined information (even when accurately captured) is complex, redundant, sometimes incoherent, and often contradictory: it is rooted in a mixture of only partially consistent ontologies. We review work that models scientific reason and suggest how computational reasoning across ontologies and the broader distribution of textual statements can assess the certainty of statements and the process by which statements become certain. With the emergence of digitized data regarding networks of scientific authorship, institutions, and resources, we explore the possibility of accounting for social dependences and cultural biases in reasoning models. Computational reasoning is starting to fill out ontologies and flag internal inconsistencies in several areas of bioscience. In the not too distant future, scientists may be able to use statements and rich models of the processes that produced them to identify underexplored areas, resurrect forgotten findings and ideas, deconvolute the spaghetti of underlying ontologies, and synthesize novel knowledge and hypotheses.

  15. 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.

  16. 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

  17. 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. 

  18. 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.

  19. Comparative economics, of advanced fine-coal cleaning in refuse pond recovery and active mine applications

    Energy Technology Data Exchange (ETDEWEB)

    Patwardhan, A.; Chugh, Y.P; Mohanty, M.K.; Sevim, H. [South Illinois University, Carbondale, IL (United States). Dept. of Mining & Mineral Resources

    2003-08-01

    The economics of 'conventional' and 'advanced fine-coal cleaning' (AFCC) circuits for refuse pond reclamation as well as active mine applications were evaluated. The benefit of an innovative tailings-management scheme on the profitability of mining enterprises was also evaluated. Analyses were conducted for two scenarios involving the generation of 5.81% product ash, a quality obtained during AFCC circuit operation at SIU, and a more typical 8% product ash. The inability of the conventional circuits to achieve profitability while producing the lower-ash product is revealed from this approach. On the other hand, the AFCC circuits achieve a return on investment in excess of 50% in the water-only mode as well as the dense-medium mode, both with and without tailings management. The comparison of water-only and dense-medium applications of the AFCC circuit indicates a better suitability for the dense-medium circuit for producing premium-quality products. As a result of reduced overhead costs and the use of existing material-handling facilities, the application of AFCC circuits in active mines provides for better economics when compared to applications in refuse pond recovery operations. Sensitivity analysis reveals the significance of capacity utilization on project economics.

  20. 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.

  1. 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.

  2. 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

  3. 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.

  4. Advances in dust control technology on South African underground coal mines

    Energy Technology Data Exchange (ETDEWEB)

    Belle, B.K.; Du Plessis, J. [CSIR: Miningtek, Pretoria (South Africa)

    2001-07-01

    Despite the much-heralded arrival of the new millennium, improving mine health and safety remains an enormous challenge. Considerable progress with environmental (dust and methane) control in South African mines has indeed been made but it remains a matter of great concern to all parties, i.e. mine management, labor and the government. The introduction of the 1997 Directive on dust exposure and mine ventilation was a milestone for the South African coal mining industry in improving health and safety standards. These stricter guidelines and the latest dust control technologies are beneficial not only in the long-term health perspective, but also to in terms of controlling methane and coal dust explosions (high-risk) in the short term. Over the past two years, CSIR: Miningtek personnel developed new dust control systems through various Safety In Mines Research Advisory Committee (SIMRAC) funded projects and successfully implemented them in underground coal mines. Currently, it can be confidently claimed that the new and proven dust control systems are being effectively operated in more than 80% of the bord and pillar sections in South Africa. This paper highlights the critical components of the new dust control systems evaluated underground, viz., the half-curtain system, the retrofitted hood system, the double scrubber system and the integrated hood system for continuous miners, and the road header dust control system. The status of wet head dust control systems and the challenges facing high seam longwall mines are also presented in the paper. The relative effectiveness of various dust control systems are discussed and the relevant test results are given in the paper. It concludes with a discussion of the progress made and challenges facing the coal mining industry in reducing workers' exposure to respirable dust. 11 refs., 5 figs.

  5. 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...

  6. 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.

  7. Advances in Educational Data Mining Models and the Application of Its Algorithms

    Institute of Scientific and Technical Information of China (English)

    Chi Zhang∗; Huan Yan; Ying Fu; Guofeng Han; Fan Feng

    2016-01-01

    In order to find an effective way to improve the quality of school management, finding valuable information from students’ original data and providing feedback for student management are necessary. Firstly, some new and successful educational data mining models were analyzed and compared. These models have better performance than traditional models ( such as Knowledge Tracing Model) in efficiency, comprehensiveness, ease of use, stability and so on. Then, the neural network algorithm was conducted to explore the feasibility of the application of educational data mining in student management, and the results show that it has enough predictive accuracy and reliability to be put into practice. In the end, the possibility and prospect of the application of educational data mining in teaching management system for university students was assessed.

  8. Advanced Methods for Image Information Mining System: Evaluation and Enhancement of User Relevance

    OpenAIRE

    Daschiel, Herbert Andreas

    2004-01-01

    Die Notwendigkeit eines effizienten Zugriffs auf grosse Bildbestaende in Datenbanken fuehrte zur Entwicklung von Verfahren der inhaltsbasierten Bildsuche (Image Data Mining). Die Weiterentwicklung dieser Verfahren haengt - so wie in anderen Forschungsgebieten auch - davon ab, ob sich die Methoden der Bildabfrage als auch des Bildverstehens quantitativ bewerten lassen. Bislang wurde der Thematik der Evaluierung von Systemen zur inhaltsorientierten Bildsuche nur sehr wenig Aufmerksamkeit gesche...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1981-05-01

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

  10. 矿井超前精细探测技术方法与应用%Mine Advanced Detailed Detection Technology Method and Optimization

    Institute of Scientific and Technical Information of China (English)

    牟义

    2012-01-01

    Mine transient electromagnetic method,mine direct current method,mine rayleigh wave method,mine reflected wave method four kinds of mine advanced detection technology are adopted to forecast water disaster in coal mine heading face.By the mine data acquisition,processing and inverse calculation,visualization graph is formed,and use it explain range and location characteristic of the mine water-logged stratum and structural,so as to build built a set technology method for mine geophysical dynamic monitoring water disaster in coal mine tunneling process.Result indicates that mine transient electromagnetic method may detect heading face water-contained of positive front,front roof,front floor and front sidewall;mine direct current method may detect heading face water-contained of positive front;mine rayleigh wave method(or mine reflected wave method) may detect front structure and goaf boundaries.%为了预测煤矿掘进工作面的水害,采用矿井瞬变电磁法、矿井直流电法、矿井瑞利波法、矿井反射波法4种井下超前探测技术。通过井下数据采集、处理和反演计算,形成可视化图件,来解释矿井含水体及构造的范围和位置特征,建立了一套适合煤矿掘进过程中井下物探动态监测水害的技术方法。结果表明:矿井瞬变电磁法可探测掘进工作面正前方、前方顶板、前方底板和前方侧帮含水体;矿井直流电法可探测掘进工作面正前方含水体;矿井瑞利波法(或矿井反射波法)可以探测前方构造及采空区边界。

  11. 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.

  12. Possibilities of working thick brown coal seams in the Stara Jama mine of Zenica mines by sublevel working methods applying self-advancing Westfalia-Luenen powered supports, type B. S. 2. 1 and I. B. S. 2. 2

    Energy Technology Data Exchange (ETDEWEB)

    Bijelic, V.; Ivkovic, M.; Slijepcevic, S.; Krizan, D.

    1980-01-01

    This paper describes the properties of 9 exploitable coal seams of Zenica colliery. Two of them have been intensively exploited over many years. It outlines the development of working methods from room and pillar up to fully mechanized longwall mining. As final result of the efforts made in order to improve the productivity of longwall mining a modified type of Westfalia-Luenen self-advancing powered support is described. The results achieved with this support are shown in a table. (9 refs.) (In Serbo-Croatian).

  13. Advances in cheminformatics methodologies and infrastructure to support the data mining of large, heterogeneous chemical datasets.

    Science.gov (United States)

    Guha, Rajarshi; Gilbert, Kevin; Fox, Geoffrey; Pierce, Marlon; Wild, David; Yuan, Huapeng

    2010-03-01

    In recent years, there has been an explosion in the availability of publicly accessible chemical information, including chemical structures of small molecules, structure-derived properties and associated biological activities in a variety of assays. These data sources present us with a significant opportunity to develop and apply computational tools to extract and understand the underlying structure-activity relationships. Furthermore, by integrating chemical data sources with biological information (protein structure, gene expression and so on), we can attempt to build up a holistic view of the effects of small molecules in biological systems. Equally important is the ability for non-experts to access and utilize state of the art cheminformatics method and models. In this review we present recent developments in cheminformatics methodologies and infrastructure that provide a robust, distributed approach to mining large and complex chemical datasets. In the area of methodology development, we highlight recent work on characterizing structure-activity landscapes, Quantitative Structure Activity Relationship (QSAR) model domain applicability and the use of chemical similarity in text mining. In the area of infrastructure, we discuss a distributed web services framework that allows easy deployment and uniform access to computational (statistics, cheminformatics and computational chemistry) methods, data and models. We also discuss the development of PubChem derived databases and highlight techniques that allow us to scale the infrastructure to extremely large compound collections, by use of distributed processing on Grids. Given that the above work is applicable to arbitrary types of cheminformatics problems, we also present some case studies related to virtual screening for anti-malarials and predictions of anti-cancer activity.

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

    Directory of Open Access Journals (Sweden)

    Gregorio eAlanis-Lobato

    2015-09-01

    Full Text Available 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 aetiology. 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.

  15. 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.

  16. 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

  17. 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

  18. 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.

  19. 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

  20. 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

  1. On advancing construction and practice of the green mines%推进绿色矿山建设工作与实践

    Institute of Scientific and Technical Information of China (English)

    周玉华

    2015-01-01

    建设绿色矿山是保证矿业可持续健康发展的必由之路,是实现科学发展观、社会和谐的必然选择。介绍了绿色矿山的定义和绿色矿山建设的重要性。从科创新、资源节约与综合利用、节能减排、地质灾害治理和环境保护、土地复垦、社区和谐以及企业文化方面总结了三鑫公司推进绿色矿山建设工作与实践。%The construction of green mines is indispensible to sustainable development of mining industry,and is necessary to achieve scientific outlook of development and social harmony.The paper states the definition of green mines and the importance of their construction,and based on the aspects like science and technology innovations,com-prehensive utilization and saving of resources, energy saving and effluent reduction, treatment of geological disasters and environmental protection, land reclamation, harmonious community and enterprise culture, it discusses the ad-vancement of construction and practice of the green mines in Sanxin company.

  2. Research Advance on Related Technology of Massive Data Mining Process%海量数据挖掘过程相关技术研究进展

    Institute of Scientific and Technical Information of China (English)

    米允龙; 米春桥; 刘文奇

    2015-01-01

    随着信息技术的发展,复杂、多样的海量数据给数据挖掘带来了新的挑战。为了更加深入全面地了解大数据环境下的数据挖掘技术的研究进展和应用,从海量数据挖掘过程的技术框架、算法、理论及模式方面进行了详细的阐述。概述了大数据的基本概念、处理流程及面临的问题,简述了数据挖掘的基本过程及相关算法,详细评述了海量数据挖掘过程的研究现状及面临的挑战,并从博弈论的角度、粒计算模型及大数据处理思维方面探讨了海量数据挖掘过程中的处理模式。%With the development of information technology, the emergence of complex and diverse massive data has brought new challenges to data mining. This comprehensive overview is intended to elaborate the research advances and applications of big data mining from the following aspects:the general technology framework, algorithms, theories and patterns of massive data mining process. Firstly, this paper presents the basic concepts, general process procedures and problems of big data. Secondly, this paper sketches the basic processes of data mining and related algorithms. Thirdly, this paper discusses the details of present research situations and challenges in massive data mining process. Finally, this paper studies the processing patterns of massive data mining process from the perspectives of game theory, granular computing model and big data processing thinking.

  3. 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.

  4. Detection of breast cancer using advanced techniques of data mining with neural networks; Deteccion de cancer de mama usando tecnicas avanzadas de mineria de datos con redes neuronales

    Energy Technology Data Exchange (ETDEWEB)

    Ortiz M, J. A.; Celaya P, J. M.; Martinez B, M. R.; Solis S, L. O.; Castaneda M, R.; Garza V, I.; Martinez F, M.; Lopez H, Y.; Ortiz R, J. M. [Universidad Autonoma de Zacatecas, Av. Ramon Lopez Velarde 801, Col. Centro, 98000 Zacatecas, Zac. (Mexico)

    2016-10-15

    The breast cancer is one of the biggest health problems worldwide, is the most diagnosed cancer in women and prevention seems impossible since its cause is unknown, due to this; the early detection has a key role in the patient prognosis. In developing countries such as Mexico, where access to specialized health services is minimal, the regular clinical review is infrequent and there are not enough radiologists; the most common form of detection of breast cancer is through self-exploration, but this is only detected in later stages, when is already palpable. For these reasons, the objective of the present work is the creation of a system of computer assisted diagnosis (CAD x) using information analysis techniques such as data mining and advanced techniques of artificial intelligence, seeking to offer a previous medical diagnosis or a second opinion, as if it was a second radiologist in order to reduce the rate of mortality from breast cancer. In this paper, advances in the design of computational algorithms using computer vision techniques for the extraction of features derived from mammograms are presented. Using data mining techniques of data mining is possible to identify patients with a high risk of breast cancer. With the information obtained from the mammography analysis, the objective in the next stage will be to establish a methodology for the generation of imaging bio-markers to establish a breast cancer risk index for Mexican patients. In this first stage we present results of the classification of patients with high and low risk of suffering from breast cancer using neural networks. (Author)

  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. 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.

  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. Advances in biotreatment of acid mine drainage and biorecovery of metals: 1. Metal precipitation for recovery and recycle.

    Science.gov (United States)

    Tabak, Henry H; Scharp, Richard; Burckle, John; Kawahara, Fred K; Govind, Rakesh

    2003-12-01

    Acid mine drainage (AMD), an acidic metal-bearing wastewater, poses a severe pollution problem attributed to post mining activities. The metals usually encountered in AMD and considered of concern for risk assessment are arsenic, cadmium, iron, lead, manganese, zinc, copper and sulfate. The pollution generated by abandoned mining activities in the area of Butte, Montana has resulted in the designation of the Silver Bow Creek-Butte Area as the largest Superfund (National Priorities List) site in the U.S. This paper reports the results of bench-scale studies conducted to develop a resource recovery based remediation process for the clean up of the Berkeley Pit. The process utilizes selective, sequential precipitation (SSP) of metals as hydroxides and sulfides, such as copper, zinc, aluminum, iron and manganese, from the Berkeley Pit AMD for their removal from the water in a form suitable for additional processing into marketable precipitates and pigments. The metal biorecovery and recycle process is based on complete separation of the biological sulfate reduction step and the metal precipitation step. Hydrogen sulfide produced in the SRB bioreactor systems is used in the precipitation step to form insoluble metal sulfides. The average metal recoveries using the SSP process were as follows: aluminum (as hydroxide) 99.8%, cadmium (as sulfide) 99.7%, cobalt (as sulfide) 99.1% copper (as sulfide) 99.8%, ferrous iron (sulfide) 97.1%, manganese (as sulfide) 87.4%, nickel (as sulfide) 47.8%, and zinc (as sulfide) 100%. The average precipitate purity for metals, copper sulfide, ferric hydroxide, zinc sulfide, aluminum hydroxide and manganese sulfide were: 92.4, 81.5, 97.8, 95.6, 92.1 and 75.0%, respectively. The final produced water contained only calcium and magnesium and both sulfate and sulfide concentrations were below usable water limits. Water quality of this agriculturally usable water met the EPA's gold standard criterion.

  9. 顾桥矿矿井水深度处理:超滤+反渗透系统设计研究%Design research (UF + RO) on advanced treatmentof coal mine waterin Guqiao mine

    Institute of Scientific and Technical Information of China (English)

    潘凌潇; 刘汉湖; 何春东

    2013-01-01

      Large amounts of Mine water in China which has been a waste and keeps polluting the environment can actually be reused in production ,daily life and ecology .Mine water discharge inGuqiao coal mine which is3500m3 /dis characterized by the high concentration of TDS and chloride .The water quality after the existingtreatment is still not up to the drinking‐water standards .So it is necessary to add an advanced treatment which is designed asthe process of laminated filters – ultrafiltration ‐reverse osmosis . The design processes and results are presented in the paper .It shows the quality of treated water can meet the drinking‐water standards by the simulation of ROSA .This paper also presents the budget of the project investmentand benefit of the project implementation .%  矿井水的大量排放,不仅污染了矿区环境,而且对水资源相对缺乏的中国来说也是一种资源浪费。这部分废水经处理后,可作为生产、生活和生态用水。顾桥矿矿井水外排量维持在3500m3/d 左右,其水质呈现高悬浮物、高矿化度的特点。目前该矿已建有矿井水一级净化处理站,但处理后的水质不能达到饮用水要求,所以需要对部分处理后的矿井水进行深度处理。本设计的深度处理工艺流程为叠片过滤—超滤—反渗透,文中给出各环节设计过程和结果。经 ROSA 软件模拟后显示处理后的水质其各项指标均达到饮用水标准。此外,本文还对设计的工程投资作出了预算,并分析了该工程运行后的效益。

  10. 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.

  11. Advance in Feature Mining from Hyperspectral Remote Sensing Data%高光谱遥感数据特征挖掘技术研究进展

    Institute of Scientific and Technical Information of China (English)

    何明一; 畅文娟; 梅少辉

    2013-01-01

    The feature mining of Hyperspectral remote sensing images for target detection, recognition and classification are divided into multi-pixels,single pixel and sub-pixel levels, which are more natural for target size scale and sensor's spatial resolution and easier for analysis of feature acquisition techniques. Differing from the traditional frame of only feature and feature extraction, a unified frame for the feature mining of Hyperspectral remote sensing images is summed up as (1) Feature selection which maintains the sensor' s physical meaning; (2) Feature extraction which comprehensively utilizes all the sensed data; and (3) Feature mixing which takes into account of all mixing information over a pixel covering multi small size (sub-pixel) targets. The research advance of Hyperspectral image feature mining is overviewed in a new and unified frame and its prospect is also outlined with pointing out some hot topics.%从目标空间尺度和传感器空间分辨率的相对大小,把高光谱遥感图像目标检测、识别与分类中的特征挖掘问题划分为多像元、单像元和亚像元3个层次,因而更具自然特性也更适合特征挖掘和目标分类与识别技术的分析.把高光谱遥感图像特征挖掘方法归纳为以保留波段物理意义为主要目的的特征选择、以综合利用所有观测数据信息为主要特色的特征提取,和考虑亚像元多目标混合信息的特征混合3大类.重点且简明地从高光谱遥感数据光谱曲线与光谱特征、特征提取、特征选择以及特征混合分析几个方面综述高光谱遥感数据/图像的特征挖掘技术的研究进展并通过热点问题展望其未来的发展趋势.

  12. 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.

  13. 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.

  14. Engineer exchanging project (coal mine technology field) in fiscal 1999. International information exchanging project (advance survey on Russia); 1999 nendo gijutsusha koryu jigyo (tanko gijutsu bun'ya) kokusai koryu jigyo. Jizen chosa (Roshia)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    This advance survey on Russia has performed visiting surveys and information collection at coal related organizations inside Japan and in overseas countries on production technology levels, trends and technology exchange needs in overseas coal producing countries. The project is intended to serve for improvement in the contents of and smooth execution of the engineer exchange project in the 'coal mine technology field. It was carried out by expertise people as the site surveys and the engineer reception and exchange surveys. Because of the economic crisis that has hit Russia in 1998, unprofitable coal mines were closed one after another under the coal mine scrap and build policy under the initiative of the World Bank. This situation is giving serious impacts on coal mines in the Far East Russia and the coastal areas. However, the importance of coal as the primary energy source has not been changed at all in the Far East Russia. Thus, the areas have fallen into a situation that they must rely on a great amount of introduced and imported coals as a result of weakening in coal mines in the Far Eastern area on the other hand. This paper reports mainly the situation in which the coal industries in the coastal areas are placed, and the possibilities of technology exchange. (NEDO)

  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. 巷道振波超前探测技术在煤矿巷道掘进中的应用%Application of Advance Detection Technology of Tunnel Vibration Wave Roadway Excavation in Coal Mine

    Institute of Scientific and Technical Information of China (English)

    罗鹏; 张恒; 常永峰

    2016-01-01

    本文主要介绍了巷道振波超前探测技术在煤矿巷道掘进的实践应用,主要是利用矿井震波超前探测法控制巷道前方的构造发育情况,减少巷道的报废,为巷道的设计修改和安全掘进提供地质资料。%This paper mainly introduces the application of the advanced detection technology of tunnel vibration wave roadway tunneling in coal mine, mainly uses mine seismic advanced sensor to development of the front structure of the roadway, to reduce roadway scrap and provide geological data for design modification and safety excavation of roadway.

  17. 煤矿井下综合物探超前探测技术与应用%Technology and application of in-advance geophysical detection in coal mines

    Institute of Scientific and Technical Information of China (English)

    李萍

    2012-01-01

    对我国煤矿井下推广使用的地球物理探测技术进行了回顾,着重介绍了瑞利波和直流电法两种超前探测技术的新进展;结合七台河、平顶山等煤矿的应用实例,分析了煤矿井下超前地质预测的潜力,提出了煤矿井下超前探测技术的发展方向.%The paper introduces underground geophysical detection technology applied in coal mines, focusing on the improvement of in-advance geophysical detection techniques such as Rayleigh wave and direct current methods. In combination with the application in Qitaihe, Pingdingshan and other mines, the potential of in-advance geological prediction in underground mines was analyzed and the development orientation of in-advance underground geophysical detection technology was put forward.

  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. Permitting - the latest mining risk

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-05-01

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

  2. 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

  3. 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.

  4. Mining Model Simulation of Advanced Persistent Threat Data in Cloud Computing Environment%云计算环境下的高级持续威胁数据挖掘模型仿真

    Institute of Scientific and Technical Information of China (English)

    张志宏; 兰静

    2014-01-01

    In the cloud computing environment,advanced persistent threat data accurate mining can improve security and defense capability of the cloud computing network. Advanced persistent threat data have nonlinear characteristics of disturbance linear extremum,and the traditional processing method is difficult to achieve accuracy for this class of data mining. An advanced persistent threat data mining simulation model is proposed based on ex-treme perturbation nonlinear feature extraction in cloud computing environment ,and the system load operation is e-valuated,so that the dynamic task allocation in cloud computing is obtained. Extreme value analysis of advanced per-sistent threat data characteristics of non linear disturbance is made,perturbed nonlinear characteristics are extract-ed,and the steady state probabilities of senior continued threat data are calculated,so that pulse response invariant cycle marker on the nonlinear characteristic is obtained,the advanced persistent threat data extreme value perturba-tion of the nonlinear characteristics is extracted,and the data mining model is constructed. Simulation results show that the algorithm for the continuing threat data has better correct detection probability of 95%above ,and that data mining has superior performance. It has good application value in the cloud computing for advanced persistent threat data detection and mining,providing foundation for the network security system construction.%在云计算环境下,对高级持续威胁数据的准确挖掘可以提高云计算网络的安全防御能力。高级持续威胁数据具有极值扰动非线性特征,传统的线性处理方法难以实现对这类数据的准确挖掘。提出一种基于极值扰动非线性特征提取的云计算环境下的高级持续威胁数据挖掘仿真模型,对系统载荷运行情况进行评估,得到云计算下的动态任务调配,分析高级持续威胁数据的极值扰动非线性特性,计算高级持

  5. 瞬变电磁法在玉泉煤业超前探测中的应用%Transient electromagnetic method in yuquan coal mine the application of advanced detection

    Institute of Scientific and Technical Information of China (English)

    李明山

    2016-01-01

    "Follow up" geophysical prospecting, drilling ahead of validation, geochemical exploration of comprehensive detection program has become a mine water prevention and control of an important system. The coal mine roadway of geophysical exploration of advanced detection methods is more, this paper introduces the working principle of the transient electromagnetic method in advanced detection of underground and methods, and its application in yuquan coal roadway drivage application of advanced detection results.%“物探先行、钻探验证、化探跟进”的综合探测程序已成为矿井防治水一项重要制度。煤矿井下巷道超前探测的物探方法较多,本文介绍了瞬变电磁法在井下超前探测中的工作原理和方法,及其在玉泉煤业巷道掘进超前探测的应用成果。

  6. 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.

  7. Application of Ground Penetrating Radar in Advanced Forecast of Mine Tunnel%探地雷达在矿山井巷工程超前预报中的应用

    Institute of Scientific and Technical Information of China (English)

    李红军; 李晓昭; 郭亮

    2011-01-01

    On the basis of electrical property difference of probed object, GPR could make invisible target or interfaces of media inside accurately positioned and distinguished, the exact early warning about defective geology body would be very effective in reducing sudden accident in mine tunnel. In Boka gold mine, investigation on water con tent, rock integrity, positioning old tunnel or ancient goaf and other fieldwork were taken with EKKO-100 GPR, the result shows that laneway construction was carried out safely and efficiently and demonstrates that this method can be widespread. Practical application of ground penetrating radar in advanced forecast of Boka gold mine tunnel has very important meanings for supervising and managing the safety in mine production, preventing and reducing accidents during the production process.%探地雷达基于所探介质的电性差异对其内部不可见目标体或介质分界面进行精确辨别定位,其对不良地质体的准确预警可有效减少矿山井巷工程中的突发事故.采用EK-KO-100型探地雷达在播卡金矿进行了岩层含水量、围岩破碎程度、老硐及采空区定位等现场探测工作,安全高效指导井巷施工的同时验证此法具有广泛推广应用价值.探地雷达在播卡金矿井巷工程超前预报中的实际应用,对播卡金矿的矿山安全生产监督管理,防止和减少生产安全事故有着十分重要的意义.

  8. 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.

  9. Advanced Detection of Earthquake Wave for the Faults Concealed in Working Face of Mining Well%工作面隐伏断层矿井地震波超前探测

    Institute of Scientific and Technical Information of China (English)

    徐夕岭

    2012-01-01

    为防止生产过程中竞水事故的发生,保证掘进工作面的安全施工,根据矿井巷道地震波超前探测方法的特点和使用方法,对开滦唐山矿岳胥区掘进工作面中DF11断层及其伴生小断层、裂隙发育区的构造位置和富水性进行超前探测研究,并对水文地质情况进行分析探讨,为巷道设计.支护及矿井防治水提供依据,对岳胥区工程安全施工具有重要指导意义.%To prevent water inrush incidents in the production process and ensure the safety of heading face construction, according to the characteriRtics of and (he using methods of the advanced detection methods of earthquake wave of mine tunnel, the paper made advanced detection to the DF11 fault in the raining face of Kailuan Tangshan mine Yuexu zone, structural position and watery of associated small faults and fractured w>ne, analyzed the hydrogeological conditions, which provided basis for roadway design, support and control of water and had important guidance significance for the safety construction.

  10. 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.

  11. Application of Local Cooling System in Deep Mine Advancement%局部降温系统在深井掘进中的应用

    Institute of Scientific and Technical Information of China (English)

    付会龙; 孙学峰; 辛嵩

    2012-01-01

    For underground mine coal thermal environment and coal temperature parameters of heat hazard mine,this paper analyzed the causes of heat hazard in mine.According to the specific conditions of Jining No.3 coal mine,heat hazard management programme in drivage face was making.Utilizing local low-temperature water from cooling system,lower the heat of airflow,the paper introduced the system working principle,layout and operation processes,and analyzes the effect of deep mine cooling.The results showed that the lower the temperature in driving head-on 5 to 7 ℃,the highest temperature is 30 ℃.Local cooling system can effectively alleviate the situation of heat hazard of local sites and improve the underground working environment.%针对热害矿井井下热环境参数和煤岩温度,分析了矿井热害形成原因。根据矿井具体条件提出了适合济宁三号煤矿的掘进工作面热害治理方案。利用局部降温系统制取低温冷水,降低风流温度,介绍了系统工作原理、布置流程及其运行情况,并对深井降温效果进行了分析。结果表明,掘进迎头温度降低5~7℃,掘进巷道最高温度控制在30℃。局部降温系统可以有效缓解局部地点热害状况,改善井下作业环境。

  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. 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...

  18. 煤矿掘进巷道地震反射波超前探测技术及应用%Advance Detection Technology with Seismic Reflection Wave and Its Application in Coal Mine Roadway Excavation

    Institute of Scientific and Technical Information of China (English)

    段天柱; 赵洪月; 胡运兵; 张钊

    2013-01-01

      矿井巷道掘进过程中遇到的断层、陷落柱、破碎带等地质异常体,会直接影响掘进施工效率,同时会给矿井的安全生产带来极大的威胁。采用地震反射波法进行井巷超前探测,能够对掘进坑道前方断层构造及其异常界面的位置进行较准确的预报。在分析反射波法超前探测数据采集及处理解释方法的基础上,结合井下掘进巷道探测实例,介绍了地震反射波法超前探测应用成果。%The geologic abnormal bodies such as faults,subsided columns and fractured zones which were encountered in the excavation process of roadways will directly affect its excavation efficiency,and will also threaten the safe production of the mine. The use of seismic waves for roadway advance detection can accurately predict the position of the fault structure and its abnormal interface in front of the heading face. This paper described the application results of advance detection with seismic reflection wave method based on the discussion of data acquisition,data processing and interpretation methods and according to the real detection examples of the mine roadway.

  19. 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...... behavior. This generalization is often driven by the representation language and very crude assumptions about completeness. As a result, parts of the model are “overfitting” (allow only for what has actually been observed) while other parts may be “underfitting” (allowfor much more behavior without strong...

  20. Asteroid mining

    Science.gov (United States)

    Gertsch, Richard E.

    1992-01-01

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

  1. 采用地震勘探法超前探测矿区隐伏导水构造%Advance Detection of Mine Concealed Water Flowing Structure by Seismic Prospecting Method

    Institute of Scientific and Technical Information of China (English)

    黄晓容

    2016-01-01

    Fengfeng Coal Mining Area has complicated hydro-geological conditions and is threatened by water flood, so an urgent problem to be solved is to investigate and handle the concealed structures in the working face and their hydraulic conductivity. Advance detection was carried out on the concealed structures such as the small faults in front of 182311 working face in a mine in Fengfeng Mining Area, it was found out through investigations that there was an obvious wave-resistance abnormally at the place about 49 m in front of the working face, the exploratory boring proved that there was an abnormal water flowing zone at the place 50 m in front of the face, the actual revelation was a small fault with the throw of 0. 8 m, and the advance detection results were basically consistent with actual situation. This detection can provide technical support for the grouting reconstruction and reinforcement and the elimination of water inrush hazard in the water flowing structural zone.%峰峰矿区矿井水文地质条件复杂,受水害威胁大,对工作面底板隐伏构造及导水性的排查和处理是其亟待解决的问题。采用地震勘探法,对峰峰矿区某矿182311工作面前方小断层等隐伏导水构造进行了超前探测,查明在工作面前方约49 m位置存在明显波阻抗异常,通过钻探验证,其前方50 m见一导水异常区,实际揭露为落差0.8 m的小断层,超前探测结果与实际情况基本相符。可为导水构造地段进行注浆改造、加固处理,消除突水隐患提供技术保障。

  2. 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

  3. 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.

  4. From Mining to Post-Mining: The Sustainable Development Strategy of the German Hard Coal Mining Industry

    Science.gov (United States)

    Kretschmann, J.; Efremenkov, A. B.; Khoreshok, A. A.

    2017-01-01

    By the end of the 1950s, the German coal mining industry produced 150 million tons of hard coal per year in 170 collieries with 600,000 employees. At that time, 70% of the primary energy demand of the Federal Republic of Germany was covered by domestic coal. Since the advance of oil, later of natural gas, in the world energy market and with the growth of world coal trade, domestic coal stood under a long-term restructuring pressure. This decision required a new strategy for the coal mining industry. Now German coal mining will be strictly finalized and will be prepared for the post-mining era. Within a sustainability strategy the long-term impacts of mining activities before and after the mine closures concerning the environmental, economic and social dimensions will be analyzed systematically and forward-looking.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Mineral mining installation

    Energy Technology Data Exchange (ETDEWEB)

    Plevak, L.; Weirich, W.

    1982-04-20

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

  10. 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.

  11. Planning the Mine and Mining the Plan

    Science.gov (United States)

    Boucher, D. S.; Chen, N.

    2016-11-01

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

  12. 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.

  13. 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.

  14. Development of opencast mines

    Energy Technology Data Exchange (ETDEWEB)

    Szebenyi, F.

    1987-01-01

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

  15. Application of Mining Geological Detector to Advanced Detection%矿井地质探测仪超前探测应用

    Institute of Scientific and Technical Information of China (English)

    田传昌

    2012-01-01

    The paper introduces the application and detection effects of KDZ1114-6A30 advanced detector in Fuli Colliery,which has proved that detected faults in the distance of 70 meters are in accord with the actual condition.%介绍KDZ1114-6A30地质探测仪在富力矿的应用与探测效果,实践证明,探测前方70m内的断层,与实际情况基本相符。

  16. 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.

  17. 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 these...

  18. 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.

  19. Fiscal 1997 technological survey report. Engineer exchange project - coal mine technological field (Advanced coal producing country survey - U.S.A. survey); 1997 nendo gijutsusha koryu jigyo (tanko gijutsu bun'ya) senshin santankoku chosa. Beikoku chosa

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-03-01

    While the introduction and adaptation of the Longwall excavation technology were carried forward for coal producing countries in the Pacific region, U.S.A. information was collected by making tours of coal mines in the West and Washington/Colorado/Utah States, with the intention of ascertaining technological trend so as to carry out efficient technological transfer, and for the purpose of replenishing the contents and contributing to the smooth implementation of the engineer exchange project in 'coal mine technological field'. The coal reserves are 400 billion tons, with 840 million tons produced and with 80 million tons exported; not less than 56% of the U.S. domestic electricity rests on coal. Production by open-pit mining is the majority while the output by underground mining is 38%; the Longwall method has increased as a digging method, taking 18% of all digging output. The productivity is 4.24 ton/person per day and ranks as the world highest. The coal mining technological trend in the U.S. can be summarized as follows. The coal mining output in the West is increasing, with the number of mines decreasing, so that the output per mine is increasing. With the output ratio by open-pit mining increasing, the digging method in the mine is being changed to the Longwall. (NEDO)

  20. 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.

  1. 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.

  2. Semi autonomous mine detection system

    Science.gov (United States)

    Few, Doug; Versteeg, Roelof; 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, 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.

  3. 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...

  4. 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.

  5. Advanced in silico approaches for drug discovery: Mining information from multiple biological and chemical data through mtk-QSBER and pt-QSPR strategies.

    Science.gov (United States)

    Speck-Planche, Alejandro; Cordeiro, Maria Natália Dias Soeiro

    2017-01-24

    The last decade has been seeing an increase of public-private partnerships in drug discovery, mostly driven by factors such as the decline in productivity, the high costs, time, and resources needed, along with the requirements of regulatory agencies. In this context, traditional computer-aided drug discovery techniques have been playing an important role, enabling the identification of new molecular entities at early stages. However, recent advances in chemoinformatics and systems pharmacology, alongside with a growing body of high quality, publicly accessible medicinal chemistry data, have led to the emergence of novel in silico approaches. These novel approaches are able to integrate a vast amount of multiple chemical and biological data into a single modeling equation. The present review analyzes two main kinds of such cutting-edge in silico approaches. In a first subsection, we discuss the updates on multitasking models for quantitative structure-biological effect relationships (mtk-QSBER), whose applications have been significantly increasing in the past years. In a second subsection, we provide detailed information regarding a novel approach that combines perturbation theory with quantitative structure-property relationships modeling tools (pt-QSPR). Finally, and most importantly, we show that the joint use of mtk-QSBER and pt-QSPR modeling tools are apt to guide drug discovery through its multiple stages: from in vitro assays to preclinical studies and clinical trials.

  6. National Underground Mines Inventory

    Science.gov (United States)

    1983-10-01

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

  7. 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.

  8. Mining and environment

    Energy Technology Data Exchange (ETDEWEB)

    Kisgyorgy, S.

    1986-01-01

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

  9. 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…

  10. 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.

  11. 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…

  12. 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.

  13. 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...

  14. Mineral mining installation

    Energy Technology Data Exchange (ETDEWEB)

    Weirich, W.

    1984-01-24

    A longwall mineral mining installation has a conveyor and a plurality of roof support units positioned side-by-side on the goaf side of the conveyor. Each roof support unit has a roof shield having an advanceable shield extension. Each unit has a first hydraulic ram for extending its shield extension, and a second hydraulic ram for advancing the conveyor. The extension of each first ram is controlled in dependence upon the retraction of one of the second rams (either the second ram of the same unit or that of an adjacent unit). This control is effected by controlling the supply of pressurized hydraulic fluid to the first rams. In one embodiment this is carried out by a control valve which has a springloaded plunger which engages with a series of equispaced cams on the movable cylinder of the associated second ram. In another embodiment, the piston rods of the rams are provided with series of equispaced magnets. The cylinders of the rams are provided with sensors, which sense the magnets and generate control signals. A control box is provided to direct the control signals to control valves associated with the rams, so that the first rams are extended by the same distance as that through which the second rams are retracted.

  15. Mineral mining installation

    Energy Technology Data Exchange (ETDEWEB)

    Becker, K.; Rosenberg, H.; Weirich, W.

    1981-12-29

    A longwall mineral mining installation has a conveyor and a plurality of roof support units positioned side-by-side on the goaf side of the conveyor. Each roof support unit has a roof shield having an advanceable shield extension. Each unit has a first hydraulic ram for extending its shield extension, and a second hydraulic ram for advancing the conveyor. The extension of each first ram is controlled in dependence upon the retraction of one of the second rams (Either the second ram of the same unit or that of an adjacent unit). This control is effected by controlling the supply of pressurized hydraulic fluid to the first rams. In one embodiment this is carried out by a control valve which has a spring-loaded plunger which engages with a series of equispaced cams on the movable cylinder of the associated second ram. In another embodiment, the piston rods of the rams are provided with series of equispaced magnets. The cylinders of the rams are provided with sensors, which sense the magnets and generate control signals. A control box is provided to direct the control signals to control valves associated with the rams, so that the first rams are extended by the same distance as that through which the second rams are retracted.

  16. An accurate cutting machine for mechanized advance in mine workings of narrow cross-section. Maquina de ataque puntual para el avance mecanizado de galerias de carbon de pequenia seccion

    Energy Technology Data Exchange (ETDEWEB)

    Tejuca Suarez, L.M.; Gonzalez, A. (Minero Siderurgica de Ponferrada S.A., Ponferrada (Spain))

    1988-01-01

    The characteristics of Spanish coal deposits mean that the costs of coal preparation in conjunction with mining difficulties have a significant impact on mining costs. New preparation methods are one of the most important targets in Spanish research. The normal narrow galleries in Spanish coal mines, and the rock types mean that it is not possible to use fully mechanized systems. In this study a new cutting machine with a high level of accuracy was designed and developed so as to be adapted to the conditions in Spanish underground coal mines. The innovative characteristics of this machine are its extreme smallness and the relationship between its weight and the strength of its cutting arm, also a series of other design features which will help to reduce costs, and assure the validity of the exploitation of Spanish coal.

  17. Engineer exchanging project on coal mine technology field in fiscal 1999. International information exchanging project (advance survey on North America); 1999 nendo gijutsusha koryu jigyo (tanko gijutsu bun'ya) kokusai koryu jigyo. Jizen chosa (Hokubei)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    This project has been performed with an intention of making visiting surveys and information collection at coal related organizations in overseas coal producing countries on production technology levels and trends. The project is intended to serve for improvement in the contents of and smooth execution of the engineer exchange project in the 'coal mine technology field. It was carried out by the site surveys. The surveys revealed that the situation of the American coal industry is expected of stable increase in the demand and supply in the future, but the coal price is on the falling trend, and therefore, the industry is compelled to further increase the intensity and enhance the productivity. The industry is strongly influenced by the amended air pollution prevention act and nature destruction problems, hence further coal mine curtailment is estimated. Under such a background, it was found that the long-wall mining process progressing toward larger scale and higher productivity, and the high-wall mining process that provides higher productivity at lower cost and has less impact on the environmental problems can continue development in mountainous areas, particularly in the Appalachian area. The high-wall mining process mines coal at exposed facings on the side of a mountain by using a continuous miner, and transports the coal using machines. (NEDO)

  18. 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 as...

  19. Gold-Mining

    DEFF Research Database (Denmark)

    Raaballe, J.; Grundy, B.D.

    2002-01-01

    sooner than a manager of lower type. Third, a non-operating gold mine is valued as being of the lowest type in the pool and all else equal, high-asymmetri mines are valued lower than low-asymmetri mines. In a qualitative sense these results are robust with respect to different assumptions (re cost......  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...... 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...

  20. 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....

  1. American mines, methods and men

    Energy Technology Data Exchange (ETDEWEB)

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

    1992-04-01

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

  2. Data Mining for CRM

    Science.gov (United States)

    Thearling, Kurt

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

  3. Ship Underwater Threat Response System (SUTRS): A Feasibility Study of Organic Mine Point-Defense

    Science.gov (United States)

    2012-09-01

    technology mines and sell this technology on the open market placing this ship killing technology in the hands of anyone with sufficient capital and...Mine Warfare Assessment, Naval Studies Board, National Reseach Council 2001). In addition to the technical advancements of state actors in the...accessed June 23, 2012). Committee for Mine Warfare Assessment, Naval Studies Board, National Reseach Council. Naval Mine Warfare: Operational and

  4. Proceedings of the twenty-sixth annual institute on mining health, safety and research

    Energy Technology Data Exchange (ETDEWEB)

    Tinney, G.R.; Bacho, A.; Karmis, M. [eds.

    1995-12-31

    Among the topics discussed are: advancing miners` safety in the 21st century; operator and agent liability for Mine Act violations; corporate liability relating to workplace safety and health obligations at mines; recent decisions of the Federal Mine Safety and Health Review Commission related to personal and corporate liability; contractor liability; behavioural changes in miners and positive reinforcement; and meeting health and safety objectives in mining operations.

  5. 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.

  6. 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.

  7. Commercial Data Mining Software

    Science.gov (United States)

    Zhang, Qingyu; Segall, Richard S.

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

  8. 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.

  9. Use of computer technology in design of mining field parameters

    Energy Technology Data Exchange (ETDEWEB)

    Magda, R.; Franik, T. (Akademia Gorniczo-Hutnicza, Cracow (Poland). Instytut Projektowania i Budowy Kopaln)

    1989-01-01

    Discusses use of computerized simulation for optimization of longwall mining under conditions of the Lublin coal basin. A model of a coal block mined by a system of 1, 2 or 3 longwall faces is analyzed. Seven different mining schemes (with retreating or advancing working faces, gate roads driven simultaneously with working face advance or with advanced drivage, gate roads used by one or two working faces) are comparatively evaluated. Four groups of input data are used: natural conditions (coal seam thickness, dip angles, coal properties), equipment (drive power, productivity, cutting depth, conveyor length etc.), organizational factors and economic factors. Using the simulation procedure optimum (in regard to economic and technological aspects) mining schemes are selected. 3 refs.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Data mining, mining data : energy consumption modelling

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-09-15

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

  15. Mineral mining machines

    Energy Technology Data Exchange (ETDEWEB)

    Mc Gaw, B.H.

    1984-01-01

    A machine for mining minerals is patented. It is a cutter loader with a drum actuating element of the worm type equipped with a multitude of cutting teeth reinforced with tungsten carbide. A feature of the patented machine is that all of the cutting teeth and holders on the drum have the identical design. This is achieved through selecting a slant angle for the cutting teeth which is the mean between the slant angle of the conventional radial teeth and the slant angle of the advance teeth. This, in turn, is provided thanks to the corresponding slant of the holders relative to the drum and (or) the slant of the cutting part of the teeth relative to their stems. Thus, the advance teeth projecting beyond the surface of the drum on the face side and providing upper and lateral clearances have the same angle of attack as the radial teeth, that is, from 20 to 35 degrees. A series of modifications of the cutting teeth is patented. One of the designs allows the cutting tooth to occupy a varying position relative to the drum, from the conventional vertical to an inverted, axially projecting position. In the last case the tooth in the extraction process provides the upper and lateral clearances for the drum on the face side. Among the different modifications of the cutting teeth, a design is proposed which provides for the presence of a stem which is shaped like a truncated cone. This particular stem is designed for use jointly with a wedge which unfastens the teeth and is placed in a holder. The latter is completed in a transverse slot thanks to which the rear end of the stem is compressed, which simplifies replacement of a tooth. Channels are provided in the patented machine for feeding water to the worm spiral, the holders and the cutting teeth themselves in order to deal with dust.

  16. 矿井多波多分量地震勘探超前探测原理与实验研究%Advanced detection theory and experimental research of multi-wave and multi-component seismic exploration in mine

    Institute of Scientific and Technical Information of China (English)

    梁庆华; 宋劲

    2009-01-01

    为了长距离超前探测煤矿井下的地质构造情况,应用多波多分量地震勘探理论,介绍DTC-150井下长距离超前探测仪的基本原理,研究该仪器的井下测量方法与资料处理解释原则,并应用该仪器对不同的矿井进行超前预报探测实验.研究结果表明:采用DTC-150井下超前探测仪器能够较准确地探测到掘进面前方100 m内断层、围岩裂隙、岩石破碎带以及富水情况,据由该仪器获得的波速对围岩进行分类.%In order to accurately detect the long-distance geological formation in front of the mine excavation work, the basic theory of the apparatus DTC-150 was introduced using multi-wave and multi-component seismic exploration theory. The measuring means and the data processing explanation principle of this apparatus, and the advanced forecast detection experiments were studied in allusion to different mines. The results show that advanced detection apparatus DTC-150 can detect geologic formation in front of the mine excavation 100 m away, and can more accurately detect faults, rock fissures, rock broken cinctures and water-rich situation, and the collection velocity can be used to classify the wall rock.

  17. 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.

  18. 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.

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

    Science.gov (United States)

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

    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 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.

  20. Land Mines (Landminen)

    Science.gov (United States)

    1978-02-02

    making contact with the safety pin of the pull fuze 42. Two locking bolts held the upper and lower case in position during transport, so that there... safety pin out of the extended striker, thus releasing it. These mines were filled with 200 g of explosives. This type of mine was the model for the...by inserting the detonator slide. However, the mine is not fully armed until the safety pin is removed and reinserted until it makes contact with the

  1. 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.

  2. A REVIEW ON TEXT MINING IN DATA MINING

    OpenAIRE

    2016-01-01

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

  3. Data mining techniques for e -learning

    Directory of Open Access Journals (Sweden)

    Irina IONIȚĂ

    2016-10-01

    Full Text Available Data Mining (DM, sometimes called Knowledge Discovery in Databases (KDD, is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected via transactions. In the education field, the prediction of students learning performance, detection of inappropriate learning behaviours, and development of student profile may be considered e-learning problems where data mining can successfully solve them. In this paper, the authoress analyses the possibilities to apply data mining techniques in e-learning context, to predict the students’ status referring to their activities and the interest in using advanced tutoring tools. The experiments were performed on the basis of data provided by an e-learning platform (Moodle regarding the logging parameters of students enrolled on Interactive Tutoring Systems discipline during the second semester of current year.

  4. 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...

  5. 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

  6. 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.

  7. Efficient Support Coupled Frequent Pattern Mining Over Progressive Databases

    CERN Document Server

    Keshavamurthy, B N; Toshniwal, Durga; 10.5121/ijdms.2010.2205

    2010-01-01

    There have been many recent studies on sequential pattern mining. The sequential pattern mining on progressive databases is relatively very new, in which we progressively discover the sequential patterns in period of interest. Period of interest is a sliding window continuously advancing as the time goes by. As the focus of sliding window changes, the new items are added to the dataset of interest and obsolete items are removed from it and become up to date. In general, the existing proposals do not fully explore the real world scenario, such as items associated with support in data stream applications such as market basket analysis. Thus mining important knowledge from supported frequent items becomes a non trivial research issue. Our proposed novel approach efficiently mines frequent sequential pattern coupled with support using progressive mining tree.

  8. 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.

  9. Data Mining Using Neural–Genetic Approach: A Review

    Directory of Open Access Journals (Sweden)

    Parvez Rahi

    2014-04-01

    Full Text Available In the advance age of technology, there is an increasing availability of digital documents in various languages in various fields. Data mining is gaining popularity in field of knowledge discovery. Data mining is the knowledge discovery process by which we can analyze the large amounts of data from various data repositories and summarizing it into information useful to us. Due to its importance of extracting information/ knowledge from the large data repositories, data mining has become an essential part of human life in various fields. Data mining has a very wide area of applications, and these applications have enriched the human life in various fields including scientific, medical, business, education etc. Here in this paper we will discuss the emphasis of Neural Network and Genetic Algorithm in the field of data mining.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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 ...

  15. Mining Deployment Optimization

    Science.gov (United States)

    Čech, Jozef

    2016-09-01

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

  16. Lessons learnt from mining meter data of residential consumers

    OpenAIRE

    Blazakis, K; Davarzani, S; G. Stavrakakis; Pisica, I

    2016-01-01

    Tracking end-users' usage patterns can enable more accurate demand forecasting and the automation of demand response execution. Accordingly, more advanced applications, such as electricity market design, integration of distributed generation and theft detection can be developed. By employing data mining techniques on smart meter recordings, the suppliers can efficiently investigate the load patterns of consumers. This paper presents applications where data mining of energy usage can derive us...

  17. Study on the forecast method for underground coal mine

    Institute of Scientific and Technical Information of China (English)

    SUN Ji-ping; REN Hui; REN Lan-zhu; WANG Kun

    2006-01-01

    At present, coal mine fires were for ecasted with some temperature, smog, CO,CO2, etc, however, this method can't meet the requirements for safe production of coal mines in monitoring accuracy and validity. Overcoming these problems of foregone monitoring methods, using multi-parameters which include fire image, smog, CO, CO2, O2, etc,the paper put forward a synthetical analysis monitor with advanced technology of neural network. The research and application of this method has significance in theory and practical value for coal mine fire forecast.

  18. Start of exploration and mining of uranium ores in Hungary

    Energy Technology Data Exchange (ETDEWEB)

    Mikolay, I.; Szomolanyi, G. (Mecseki Ercbanyaszati Vallalat, Pecs II (Hungary))

    1983-09-01

    The mining of uranium ores is the youngest branch in the history of the Hungarian ore mining. The exploration for uranium ores started in Hungary in the decade from 1947, using simple methods at the beginning to apply more developed technologies later on. From the year 1952 Soviet geologists and geophysicists joined the explorations using the most advanced instruments, in co-operation with the Hungarian experts. From 1953 explorations and developments have been concentrated on the SW area of Mountain Mecsek so that by 1957 the preliminary conditions of a successful Hungarian uranium mining were established.

  19. 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

  20. Some experiences and suggestions related to disturbances at Becorit longwalls in the Stara Jama mine of the Kakanj mines

    Energy Technology Data Exchange (ETDEWEB)

    Nuic, J.

    1980-01-01

    This paper describes the main parameters of the working method applied in the Stara Jama mine during 4 years when a surface of 230,000 m/sup 2/ was mined. The average daily production of longwall was 800 t. The production at longwalls equipped with Becorit self-advancing powered supports has been influenced and disturbed by geological and tectonic disturbances. Description of these disturbances is given and the possibilities of overwhelming and avoiding them are considered. (In Serbo-Croatian).

  1. 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.

  2. 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...

  3. Technical and economic consequences of mine air temperature limits in black coal mines of the Federal Republic of Germany

    Energy Technology Data Exchange (ETDEWEB)

    Muecke, G.

    1986-08-01

    The state of mine air conditioning in the FRG is reviewed. Mine air temperature limits and occupational health requirements according to the 1984 regulation for black coal mines are explained. Cooling technologies applied in various mines are described, including operation of underground or surface central refrigeration stations, cold-water spray machines, air blowers etc. Mine air cooling is shown with the example of a 750 m long longwall face at 1150 m depth and 50 C rock temperature. A further example is given of cooling a 2000 m long roadway with road heading work advancing 6 m/d at the same mining depth and temperature conditions. Parameters of cooling equipment and an hx-diagram for cooling effects are provided. Air conditioning costs are assessed: investment costs of refrigeration equipment with 1 MW cooling capacity are 3.0 million DM and operating costs of nominal one kW capacity are one million DM/y. These costs amount to specific operating costs of 3 DM/t of coal in one mine and 4.50 DM/t in a second mine. Cooling capacity of 470 kW for air conditioning during road heading work increased heading costs by 330 DM/m. 18 references.

  4. 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.

  5. Neutron stars are gold mines

    Science.gov (United States)

    Lattimer, James M.

    Neutron stars are not only mines for clues to dense matter physics but may also be the auspicious sources of half of all nuclei heavier than A = 60 in the universe, including the auric isotopes. Although the cold dense matter above the nuclear saturation density cannot be directly explored in the laboratory, gilded constraints on the properties of matter from 1 to 10 times higher density can now be panned from neutron star observations. We show how upcoming observations, such as gravitational wave from mergers, precision timing of pulsars, neutrinos from neutron star birth and X-rays from bursts and thermal emissions, will provide the bullion from which further advances can be smelted.

  6. Opencast mining and environmental restoration; Explotacion minera a cielo abierto y restauracion ambiental

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1992-07-01

    The great advance in recent years of earthmoving equipment has enabled the development in opencast mining of an exploitation technique which permits the extraction of coal directly from the upper surface, by means of large excavations. Simultaneously with the mining project, a land reclamation project is being worked out with two fundamental objectives: the establishment of means of protection during the mining; and the plan for reconstruction of the ground and landscape. 7 figs.

  7. A Remote-Sensing-Driven System for Mining Marine Spatiotemporal Association Patterns

    OpenAIRE

    Cunjin Xue; Qing Dong; Xiaohong Li; Xing Fan; Yilong Li; Shuchao Wu

    2015-01-01

    Remote sensing is widely used to analyze marine environments. While many effective and advanced methods have been developed, they are generally used independently of each other, despite the potential advantages of combining different modules into an integrated system. We develop here an image-driven remote-sensing mining system, RSMapMining (Remote Sensing driven Marine spatiotemporal Association Pattern Mining system), which consists of three modules. The image preprocessing module integrate...

  8. Fog removal in the declines of underground mines in sub-arctic regions

    OpenAIRE

    Martikainen, Anu

    2007-01-01

    Fogging is a common safety hazard observed especially in the declines of underground mines located in sub-arctic regions. Fog forms when saturated air loses internal energy by mixing with a colder air stream, by simply ascending through the ventilation system of the mine, or when contact with cold wall-rock decreases air temperature. Studies concerning fogging in underground mines are rare. Technological advances and more complete theoretical knowledge gained by research in many other fie...

  9. Selecting basic parameters for turnouts when driving mine roadways with a single track

    Energy Technology Data Exchange (ETDEWEB)

    Morozov, V.E.; Zayats, I.E.; Ignatova, E.M.

    1982-12-01

    The paper discusses methods for optimizing mine haulage during drivage of roadways in underground coal mines. Locomotive haulage with a single track is used. Site selection for the turnout point is analyzed. Analyses show that from 35 to 70% of loading time is spent on mine car exchange. Time necessary for exchange depends on method of moving mine cars (by locomotives or by miners) and on position of turnout point in relation to the face. When the distance between the face and turnout point is excessive loading time increases. A method for optimizing position of a turnout point in relation to the face during mine drivage is discussed. The following factors are considered: advance rate of roadway drivage, method of mine car changing, parameters of a turnout. Examples of practical use of the equations are given. Comparative evaluations show that optimizing position of a turnout in relation to the face permits cost of mine drivage to be reduced by about 15%.

  10. 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...

  11. Mining and robotized equipment

    Energy Technology Data Exchange (ETDEWEB)

    Krisztian, B.

    1984-01-01

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

  12. Acid mine drainage

    Science.gov (United States)

    Bigham, Jerry M.; Cravotta, Charles A.

    2016-01-01

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

  13. 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.

  14. 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.

  15. Asteroid Mining and Prospecting

    OpenAIRE

    Esty, Thomas

    2013-01-01

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

  16. 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.

  17. 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.

  18. New solutions of mining tools for hard rock mining

    Energy Technology Data Exchange (ETDEWEB)

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

    2002-12-01

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

  19. Mineral Mapping with Imaging Spectroscopy: The Ray Mine, AZ

    Science.gov (United States)

    Clark, Roger N.; Vance, J. Sam; Livo, K. Eric; Green, Robert O.

    1998-01-01

    Mineral maps generated for the Ray Mine, Arizona were analyzed to determine if imaging spectroscopy can provide accurate information for environmental management of active and abandoned mine regions. The Ray Mine, owned by the ASARCO Corporation, covers an area of 5700 acres and is situated in Pinal County, Arizona about 70 miles north of Tucson near Hayden, Arizona. This open-pit mine has been a major source of copper since 1911, producing an estimated 4.5 million tons of copper since its inception. Until 1955 mining was accomplished by underground block caving and shrinkage stope methods. (excavation by working in stepped series usually employed in a vertical or steeply inclined orebody) In 1955, the mine was completely converted to open pit method mining with the bulk of the production from sulfide ore using recovery by concentrating and smelting. Beginning in 1969 a significant production contribution has been from the leaching and solvent extraction-electrowinnowing method of silicate and oxide ores. Published reserves in the deposit as of 1992 are 1.1 billion tons at 0.6 percent copper. The Environmental Protection Agency, in conjunction with ASARCO, and NASA/JPL obtained AVIRIS data over the mine in 1997 as part of the EPA Advanced Measurement Initiative (AMI) (Tom Mace, Principal Investigator). This AVIRIS data set is being used to compare and contrast the accuracy and environmental monitoring capabilities of remote sensing technologies: visible-near-IR imaging spectroscopy, multispectral visible and, near-IR sensors, thermal instruments, and radar platforms. The goal of this effort is to determine if these various technologies provide useful information for envirorunental management of active and abandoned mine sites in the arid western United States. This paper focuses on the analysis of AVIRIS data for assessing the impact of the Ray Mine on Mineral Creek. Mineral Creek flows to the Gila River. This paper discusses our preliminary AVIRIS mineral mapping

  20. 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.

  1. Restriction enzyme mining for SNPs in genomes.

    Science.gov (United States)

    Chuang, Li-Yeh; Yang, Cheng-Hong; Tsui, Ke-Hung; Cheng, Yu-Huei; Chang, Phei-Lang; Wen, Cheng-Hao; Chang, Hsueh-Wei

    2008-01-01

    Many different single nucleotide polymorphisms (SNPs) genotyping methods have been developed recently. However, most of them are expensive. Using restriction enzymes for SNP genotyping is a cost-effective method. However, restriction enzyme mining for SNPs in a genome sequence is still challenging for researchers who do not have a background in genomics and bioinformatics. In this review, the basic bioinformatics tools used for restriction enzyme mining for SNP genotyping are summarized and described. The objectives of this paper include: i) the introduction of SNPs, genotyping and PCR-restriction fragment length polymorphism (RFLP); ii) a review of components for genotyping software, including tools for primer design only or restriction enzyme mining only; iii) a review of software providing the flanking sequence for primer design; iv) recent advances in PCR-RFLP tools and natural and mutagenic PCR-RFLP; v) highlighting the strategy for restriction enzyme mining for SNP genotyping; vi) a discussion of potential problems for multiple PCR-RFLP. The different implications for restriction enzymes on sense and antisense strands are also discussed. Our PCR-RFLP freeware, SNP-RFLPing, is included in this review to illustrate many characteristics of PCR-RFLP software design. Future developments will include further sophistication of PCR-RFLP software in order to provide better visualization and a more interactive environment for SNP genotyping and to integrate the software with other tools used in association studies.

  2. 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.

  3. 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...

  4. 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

  5. Data mining in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ruxandra-Ştefania PETRE

    2012-10-01

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

  6. 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.

  7. 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...

  8. Preprocessing Techniques for Image Mining on Biopsy Images

    Directory of Open Access Journals (Sweden)

    Ms. Nikita Ramrakhiani

    2015-08-01

    Full Text Available Biomedical imaging has been undergoing rapid technological advancements over the last several decades and has seen the development of many new applications. A single Image can give all the details about an organ from the cellular level to the whole-organ level. Biomedical imaging is becoming increasingly important as an approach to synthesize, extract and translate useful information from large multidimensional databases accumulated in research frontiers such as functional genomics, proteomics, and functional imaging. To fulfill this approach Image Mining can be used. Image Mining will bridge this gap to extract and translate semantically meaningful information from biomedical images and apply it for testing and detecting any anomaly in the target organ. The essential component in image mining is identifying similar objects in different images and finding correlations in them. Integration of Image Mining and Biomedical field can result in many real world applications

  9. 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.

  10. 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.

  11. String Mining in Bioinformatics

    Science.gov (United States)

    Abouelhoda, Mohamed; Ghanem, Moustafa

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

  12. 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.

  13. Reality mining of animal social systems.

    Science.gov (United States)

    Krause, Jens; Krause, Stefan; Arlinghaus, Robert; Psorakis, Ioannis; Roberts, Stephen; Rutz, Christian

    2013-09-01

    The increasing miniaturisation of animal-tracking technology has made it possible to gather exceptionally detailed machine-sensed data on the social dynamics of almost entire populations of individuals, in both terrestrial and aquatic study systems. Here, we review important issues concerning the collection of such data, and their processing and analysis, to identify the most promising approaches in the emerging field of 'reality mining'. Automated technologies can provide data sensing at time intervals small enough to close the gap between social patterns and their underlying processes, providing insights into how social structures arise and change dynamically over different timescales. Especially in conjunction with experimental manipulations, reality mining promises significant advances in basic and applied research on animal social systems.

  14. Defining a successful commercial asteroid mining program

    Science.gov (United States)

    Andrews, Dana G.; Bonner, K. D.; Butterworth, A. W.; Calvert, H. R.; Dagang, B. R. H.; Dimond, K. J.; Eckenroth, L. G.; Erickson, J. M.; Gilbertson, B. A.; Gompertz, N. R.; Igbinosun, O. J.; Ip, T. J.; Khan, B. H.; Marquez, S. L.; Neilson, N. M.; Parker, C. O.; Ransom, E. H.; Reeve, B. W.; Robinson, T. L.; Rogers, M.; Schuh, P. M.; Tom, C. J.; Wall, S. E.; Watanabe, N.; Yoo, C. J.

    2015-03-01

    This paper summarizes a commercial Asteroid Mining Architecture synthesized by the Senior Space Design Class at the University of Washington in Winter/Spring Quarters of 2013. The main author was the instructor for that class. These results use design-to-cost development methods and focused infrastructure advancements to identify and characterize a workable space industrialization architecture including space transportation elements, asteroid exploration and mining equipment, and the earth orbit infrastructure needed to make it all work. Cost analysis predicts that for an initial investment in time and money equivalent to that for the US North Slope Oil Field, the yearly world supply of Platinum Group Metals could be increased by 50%, roughly 1500 t of LOX/LH2 propellant/year would be available in LEO, and very low cost solar panels could be assembled at GEO using asteroidal materials. The investment also would have a discounted net present value return on investment of 22% over twenty years.

  15. 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.

  16. 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...

  17. 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

  18. 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.

  19. 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.  

  20. Scientific Data Mining in Astronomy

    OpenAIRE

    Borne, Kirk

    2009-01-01

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

  1. Land reclamation beautifies coal mines

    Energy Technology Data Exchange (ETDEWEB)

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

    2009-07-15

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

  2. Road construction in underground mines

    Energy Technology Data Exchange (ETDEWEB)

    Benke, L.; Benkovics, I.

    1985-01-01

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

  3. 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

  4. Mining the Blazar Sky

    CERN Document Server

    Padovani, P; Padovani, Paolo; Giommi, Paolo

    2000-01-01

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

  5. 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

  6. 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…

  7. 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...

  8. STUDY ON HARD ROOF ROCKBURST IN COAL MINE

    Institute of Scientific and Technical Information of China (English)

    潘一山; 陈德军; 章梦涛

    1997-01-01

    Based on practical observation in Mentougou Mine, a general law of roof rockburst is put forward. The destabilization theory of roof rockburst has been established. The general laws of microquake premonition and earth sound in roof rockburst is advanced. The relationship between roof rockburst and rockburst of coal body is studied.

  9. 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).

  10. 76 FR 70075 - Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines

    Science.gov (United States)

    2011-11-10

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

  11. 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

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

    Energy Technology Data Exchange (ETDEWEB)

    Krzykawski, Michal [FAMUR Group, Katowice (Poland)

    2009-08-27

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

  13. 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

  14. Mining Your Own Data

    Science.gov (United States)

    Clark, Maurice

    2014-05-01

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

  15. 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…

  16. Computer monitors mine conditions

    Energy Technology Data Exchange (ETDEWEB)

    Brezovec, D.

    1981-08-01

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

  17. 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.

  18. 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

  19. 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

  20. 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.

  1. 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.

  2. 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.

  3. Development of a Mine Rescue Drilling System (MRDS)

    Energy Technology Data Exchange (ETDEWEB)

    Raymond, David W. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Gaither, Katherine N. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Polsky, Yarom [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Knudsen, Steven D. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Broome, Scott Thomas [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Su, Jiann-Cherng [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Blankenship, Douglas A. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Costin, Laurence S. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    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.

  4. Global Mining and the Uneasy Neoliberalization of Sustainable Development

    Directory of Open Access Journals (Sweden)

    Matthew Himley

    2010-10-01

    Full Text Available As transnational mining firms have sought to position themselves as drivers of sustainable development, a key component of their efforts has been the implementation of social development programs in their areas of operation. This paper situates the expansion of corporate-led development in the mining sector as part of an ongoing reconfiguration of the frameworks and processes through which mineral production is governed, interpreting such initiatives as illustrative of “roll-out” neoliberalization. Based on an analysis of firm-led development at the Pierina gold mine in Andean Peru, I explore how the mining company has been able to advance a version of sustainability broadly compatible with contemporary large-scale mining. Taking on the role of development agent, however, is not an uncomplicated endeavor in that it has left the firm subject to escalating development claims from nearby populations. In this context, I raise the question of whether the mining industry’s adoption of notions of partnership and participation amounts to a strategy for diffusing responsibility when necessary and deflecting the claims of affected communities.

  5. A Study of Rockburst Hazard Evaluation Method in Coal Mine

    Directory of Open Access Journals (Sweden)

    Zhijie Wen

    2016-01-01

    Full Text Available With the increasing of coal mining depth, the mining conditions are deteriorating, and dynamic hazard is becoming more likely to happen. This paper analyzes the relations and differences between rockburst in the coal mine and rockburst in the metal mine. It divides coal mine rockburst into two types including static loading type during roadway excavation process and dynamic loading type during mining face advancing. It proposes the correlation between the formation process of rockburst and the evolution of overlying strata spatial structure of the stope, criterion of rockburst occurrence, new classification, and predictive evaluation method for rockburst hazard that rockburst damage evaluation (RDE = released energy capacity (REC/absorbed energy capacity (AEC. Based on the relationship between RDE value and its corresponding level of rockburst hazard, the rockburst hazard can be divided into five types and evaluation index of each type can be achieved. Then the ongoing rockburst damage level can be classified in one of the five types, and the relative parameters, such as hazard extent, controlling measures also can be achieved. This new quantitative method could not only assess the impacting direction of rockburst occurrence, but also verify the effect of preventive measures for rockburst.

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

    Science.gov (United States)

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

    2016-09-01

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

  7. 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.

  8. 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.

  9. 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.

  10. Distributed Frequent Item Sets Mining over P2P Networks

    OpenAIRE

    Zahra Farzanyar; Mohammadreza Kangavari

    2015-01-01

    Data intensive peer-to-peer (P2P) networks are becoming increasingly popular in applications like social networking, file sharing networks, etc. Data mining in such P2P environments is the new generation of advanced P2P applications. Unfortunately, most of the existing data mining algorithms do not fit well in such environments since they require data that can be accessed in its entirety. It also is not easy due to the requirements of online transactional data streams. In this paper, we have ...

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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...

  16. 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...

  17. 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.

  18. Fault Tolerant Frequent Pattern Mining

    Energy Technology Data Exchange (ETDEWEB)

    Shohdy, Sameh; Vishnu, Abhinav; Agrawal, Gagan

    2016-12-19

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

  19. 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.

  20. 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.

  1. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2004-02-01

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

  3. 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.

  4. Web Crime Mining by Means of Data Mining Techniques

    Directory of Open Access Journals (Sweden)

    Javad Hosseinkhani

    2014-03-01

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

  5. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-03-15

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

  7. Data Mining in Social Media

    Science.gov (United States)

    Barbier, Geoffrey; Liu, Huan

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

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. Assessment of alternative power sources for mobile mining machinery

    Science.gov (United States)

    Cairelli, J. E.; Tomazic, W. A.; Evans, D. G.; Klann, J. L.

    1981-12-01

    Alternative mobile power sources for mining applications were assessed. A wide variety of heat engines and energy systems was examined as potential alternatives to presently used power systems. The present mobile power systems are electrical trailing cable, electrical battery, and diesel - with diesel being largely limited in the United States to noncoal mines. Each candidate power source was evaluated for the following requirements: (1) ability to achieve the duty cycle; (2) ability to meet Government regulations; (3) availability (production readiness); (4) market availability; and (5) packaging capability. Screening reduced the list of candidates to the following power sources: diesel, stirling, gas turbine, rankine (steam), advanced electric (batteries), mechanical energy storage (flywheel), and use of hydrogen evolved from metal hydrides. This list of candidates is divided into two classes of alternative power sources for mining applications, heat engines and energy storage systems.

  13. 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...

  14. Investigation on Mining Subsidence Based on Multi-Temporal InSAR and Time-Series Analysis of the Small Baseline Subset—Case Study of Working Faces 22201-1/2 in Bu’ertai Mine, Shendong Coalfield, China

    Directory of Open Access Journals (Sweden)

    Chao Ma

    2016-11-01

    Full Text Available High-intensity coal mining (large mining height, shallow mining depth, and rapid advancing frequently causes large-scale ground damage within a short period of time. Understanding mining subsidence under high-intensity mining can provide a basis for mining-induced damage assessment, land remediation in a subsidence area, and ecological reconstruction in vulnerable ecological regions in Western China. In this study, the mining subsidence status of Shendong Coalfield was investigated and analyzed using two-pass differential interferometric synthetic aperture radar (DInSAR technology based on high-resolution synthetic aperture radar data (RADARSAT-2 precise orbit, multilook fine, 5 m collected from 20 January 2012 to June 2013. Surface damages in Shendong Coalfield over a period of 504 days under open-pit mining and underground mining were observed. Ground deformation of the high-intensity mining working faces 22201-1/2 in Bu’ertai Mine, Shendong Coalfield was monitored using small baseline subset (SBAS InSAR technology. (1 DInSAR detected and located 85 ground deformation areas (including ground deformations associated with past-mining activity. The extent of subsidence in Shendong Coalfield presented a progressive increase at an average monthly rate of 13.09 km2 from the initial 54.98 km2 to 225.20 km2, approximately, which accounted for 7% of the total area of Shendong Coalfield; (2 SBAS-InSAR reported that the maximum cumulative subsidence area reached 5.58 km2 above the working faces 22201-1/2. The advance speed of ground destruction (7.9 m/day was nearly equal to that of underground mining (8.1 m/day.

  15. 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.

  16. 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

  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. Text mining for adverse drug events: the promise, challenges, and state of the art.

    Science.gov (United States)

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

    2014-10-01

    Text mining is the computational process of extracting meaningful information from large amounts of unstructured text. It is emerging as a tool to leverage underutilized data sources that can improve pharmacovigilance, including the objective of adverse drug event (ADE) 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 narratives, product labeling, social media, and Web search logs-that are amenable to text mining for pharmacovigilance. Given the state of the art, it appears text mining can be applied to extract useful ADE-related information from multiple textual sources. Nonetheless, further research is required to address remaining technical challenges associated with the text mining methodologies, and to conclusively determine the relative contribution of each textual source to improving pharmacovigilance.

  19. 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.

  20. Mining and Integration of Environmental Data

    Science.gov (United States)

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

    2009-04-01

    The project ADMIRE (Advanced Data Mining and Integration Research for Europe) is a 7th FP EU ICT project aims to deliver a consistent and easy-to-use technology for extracting information and knowledge. The project is motivated by the difficulty of extracting meaningful information by data mining combinations of data from multiple heterogeneous and distributed resources. It will also provide an abstract view of data mining and integration, which will give users and developers the power to cope with complexity and heterogeneity of services, data and processes. The data sets describing phenomena from domains like business, society, and environment often contain 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 (e.g. size of the spatial grid) 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. Thus, to integrate heterogeneous spatio-temporal data from distinct source, transformation of one or more data sets is necessary. Following transformation operation are required: • transformation to common spatial and temporal representation - (e.g. transformation to common coordinate system), • spatial and/or temporal aggregation - data from detailed data source are aggregated to match the resolution of other resources involved in the integration process, • spatial and/or temporal record decomposition - records from source with lower resolution data are decomposed to match the granularity of the other data source. This operation decreases data quality (e.g. transformation of data from 50km grid to 10 km grid) - data from lower resolution data set in the integrated schema are imprecise, but it allows us to preserve higher resolution data. We can decompose the

  1. 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...

  2. 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.

  3. 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.

  4. 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.

  5. 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…

  6. 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…

  7. Coal mining in socioeconomic aspect

    OpenAIRE

    ZALOZNOVA YU. S.

    2014-01-01

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

  8. 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.

  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. 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...

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. 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.

  18. 3D HIGH RESOLUTION SEISMIC PROSPECTING IN MINING AREAS; XIEQIAO COLLIERY

    Institute of Scientific and Technical Information of China (English)

    CuiRuofei

    1996-01-01

    3D seismic prospecting in mining areas of Xieqiao Colliery is a successfulmodel for an advancement from the resource prospecting to mining prospecting stagein coal fields. Its results have proved that faults with a throw of 5-10 m can be detected in an area with good seismogeologic conditions by using 3D seismic technique.Detection of underground tunnels for the first time utilizing 3D seismic data indicates that subsided columns, gotten and mine goaf can be detected using 3D seismic technique, so it has a broad applied prospect.

  19. The mine and the furnace: Francis Bacon, Thomas Russell, and early Stuart mining culture.

    Science.gov (United States)

    Pastorino, Cesare

    2009-01-01

    Notwithstanding Francis Bacon's praise for the philosophical role of the mechanical arts, historians have often downplayed Bacon's connections with actual artisans and entrepreneurs. Addressing the specific context of mining culture, this study proposes a rather different picture. The analysis of a famous mining metaphor in The Advancement of Learning shows us how Bacon's project of reform of knowledge could find an apt correspondence in civic and entrepreneurial values of his time. Also, Bacon had interesting and so far unexplored links with the early modern English mining enterprises, like the Company of Mineral and Battery Works, ofwhich he was a shareholder. Moreover, Bacon's notes in a private notebook, Commentarius Solutus, and records of patents of invention, allow us to start grasping Bacon's connections with the metallurgist and entrepreneur Thomas Russell. Lastly, this paper argues that, to fully understand Bacon's links with the world of Stuart technicians and entrepreneurs, it is necessary to consider a different and insufficiently studied aspect of Bacon's interests, namely his work as patents referee while a Commissioner of Suits.

  20. Extracting geothermal heat from mines

    Energy Technology Data Exchange (ETDEWEB)

    Ednie, H.

    2007-03-15

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

  1. Monitoring of the mercury mining site Almadén implementing remote sensing technologies.

    Science.gov (United States)

    Schmid, Thomas; Rico, Celia; Rodríguez-Rastrero, Manuel; José Sierra, María; Javier Díaz-Puente, Fco; Pelayo, Marta; Millán, Rocio

    2013-08-01

    The Almadén area in Spain has a long history of mercury mining with prolonged human-induced activities that are related to mineral extraction and metallurgical processes before the closure of the mines and a more recent post period dominated by projects that reclaim the mine dumps and tailings and recuperating the entire mining area. Furthermore, socio-economic alternatives such as crop cultivation, livestock breeding and tourism are increasing in the area. Up till now, only scattered information on these activities is available from specific studies. However, improved acquisition systems using satellite borne data in the last decades opens up new possibilities to periodically study an area of interest. Therefore, comparing the influence of these activities on the environment and monitoring their impact on the ecosystem vastly improves decision making for the public policy makers to implement appropriate land management measures and control environmental degradation. The objective of this work is to monitor environmental changes affected by human-induced activities within the Almadén area occurring before, during and after the mine closure over a period of nearly three decades. To achieve this, data from numerous sources at different spatial scales and time periods are implemented into a methodology based on advanced remote sensing techniques. This includes field spectroradiometry measurements, laboratory analyses and satellite borne data of different surface covers to detect land cover and use changes throughout the mining area. Finally, monitoring results show that the distribution of areas affected by mercury mining is rapidly diminishing since activities ceased and that rehabilitated mining areas form a new landscape. This refers to mine tailings that have been sealed and revegetated as well as an open pit mine that has been converted to an "artificial" lake surface. Implementing a methodology based on remote sensing techniques that integrate data from

  2. A Remote-Sensing-Driven System for Mining Marine Spatiotemporal Association Patterns

    Directory of Open Access Journals (Sweden)

    Cunjin Xue

    2015-07-01

    Full Text Available Remote sensing is widely used to analyze marine environments. While many effective and advanced methods have been developed, they are generally used independently of each other, despite the potential advantages of combining different modules into an integrated system. We develop here an image-driven remote-sensing mining system, RSMapMining (Remote Sensing driven Marine spatiotemporal Association Pattern Mining system, which consists of three modules. The image preprocessing module integrates image processing techniques and marine extraction methods to build a mining database. The pattern mining module integrates popular algorithms to implement the mining process according to the mining strategies. The third module, knowledge visualization, designs a series of interactive interfaces to visualize the marine data at a variety of scales, from global to grid pixel. The effectiveness of the integrated system is tested in a case study of the northwestern Pacific Ocean. The main contribution of this study is the development of a mining system to deal with marine remote sensing images by integrating popular techniques and methods ranging from information extraction, through visualization, to knowledge discovery.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2005-07-01

    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)

  4. 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.

  5. [Introduction to medical data mining].

    Science.gov (United States)

    Zhu, Lingyun; Wu, Baoming; Cao, Changxiu

    2003-09-01

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

  6. 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

  7. 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).

  8. Ensemble Data Mining Methods

    Science.gov (United States)

    Oza, Nikunj C.

    2004-01-01

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

  9. 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.

  10. 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…

  11. 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...

  12. 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.

  13. 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...

  14. 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)

  15. 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...

  16. 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.

  17. 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…

  18. 42 CFR 84.3 - Respirators for mine rescue or other emergency use in mines.

    Science.gov (United States)

    2010-10-01

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

  19. 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.

  20. 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)

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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.

  6. 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.

  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. 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.

  9. 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.

  10. 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.

  11. 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...

  12. 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 .

  13. 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

  14. 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.

  15. 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.

  16. Second international symposium rapid mine development. Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    Martens, P.N. (ed.)

    2006-07-01

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

  17. 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.

  18. Human Resources Development and Technical Cooperation - pursue safer operation. Directorate General of Mines Safety Training Program Australia - India, 1997-2001

    Energy Technology Data Exchange (ETDEWEB)

    Rowan, G. [CSIRO (Australia)

    2002-09-01

    This paper details the project, which was performed under the Memorandum of Understanding 'Agreement on Development Cooperation between India and Australia' signed in 1990. In its initial phase the objective was to review the existing procedures and practices in mine safety in India and to update these based on contemporary practices in a country employing more advanced mining technology - Australia. Other objectives were to expose Indian Mines Inspectors to mining conditions and practices in Australia to mining conditions and practices in Australia, and to train a number of inspectors in managing mine safety using techniques which render operators responsible for the health and safety of mineworkers in individual mines. The project summary section of this paper details the initial and expanded objectives of the project as well as the achieved outcomes. It further details several key findings and recommendations for organizations considering entering into similar projects. 1 fig., 6 tabs., 1 annex.

  19. Logic Mining Using Neural Networks

    CERN Document Server

    Sathasivam, Saratha

    2008-01-01

    Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by induction from sets of data. Automatic induction of knowledge from data sets, usually stored in large databases, is called data mining. Data mining methods are important in the management of complex systems. There are many technologies available to data mining practitioners, including Artificial Neural Networks, Regression, and Decision Trees. Neural networks have been successfully applied in wide range of supervised and unsupervised learning applications. Neural network methods are not commonly used for data mining tasks, because they often produce incomprehensible models, and require long training times. One way in which the collective properties of a neural network may be used to implement a computational task is by way of the concept of energy minimization. The Hopfield network is well-known example of such an approach. The Hopfield network is useful as content addressable memory or an analog computer for s...

  20. The machinations in coal mining

    Energy Technology Data Exchange (ETDEWEB)

    Round, C.

    1996-12-31

    The book presents a view of coal mining as seen by the author over a career of more than 40 years working in several coalfields in the UK and also undertaking consultancies and visits to coal mines in several other counties. It takes the format of episodes reported by the author of events and discussions with the people involved. There are three strands running through the book. Firstly, there is the biography of a family within the mining industry in the United Kingdom. The second strand of the book reflects the progress in mechanisation within the nationalised coal industry. Thirdly, the book traces the changes in the structural organisation of the British coal industry. The book captures the social side of the mining communities.

  1. 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....

  2. 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....

  3. 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...

  4. 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...

  5. 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...

  6. Mining and radiation protection law

    Energy Technology Data Exchange (ETDEWEB)

    Bischof, W.

    1986-01-01

    The article deals with the hazards of ionising radiation in the mining sector for the mining employees, the neighbouring population and the environment, with regard to prospecting, mining and processing radioactive ores. Due attention must also be paid to stockpiles, radioactive waste and imports of radioactive minerals. International radiation protection laws are to be applied on the basis of Euratom, IAEA, OECP/NEA and ICRP. The national law to be applied is Basic Law, Atomic Energy Law, and the Radiation Protection Ordinance of 1976. This law includes all activities having to do with mining of radioactive minerals, transport, imports and exports and waste management. Last not least, questions concerning the supervision carried out by the state and the administration are dealt with. (HSCH).

  7. Opinion mining in Dutch Hansards

    NARCIS (Netherlands)

    Grijzenhout, S.; Jijkoun, V.; Marx, M.

    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

  8. 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.

  9. 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 - ...

  10. 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....

  11. 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,...

  12. Mine Safety Detection System (MSDS)

    Science.gov (United States)

    2012-09-01

    BLANK xiii LIST OF ACRONYMS AND ABBREVIATIONS Acronym Term ALMDS Airborne Laser -Mine Detection System AMCM Airborne Mine Countermeasure AoA...Streak Tube Imaging Laser ULCC Ultra Large Crude Carrier USN United States Navy UWIED Under Water Improvised Explosive Devices VLCC Very Large Crude...active sonar, passive sonar, infra-red (IR) thermal imaging, LIDAR (Light Detection and Ranging), and the use of marine mammals ( dolphins and porpoises

  13. Corrosion control in mining technology

    Energy Technology Data Exchange (ETDEWEB)

    Telekesi, J.

    1985-01-01

    An overview of corrosion effects in mining technology and the importance of protection is presented. The most common corrosion processes and effects are summarized and the system and criteria of their avoidance are discussed in detail. Preventive measures are recommended to decrease possible corrosion effects including the selection of corrosion-resistive constructions, to use protective coatings and inhibition techniques and some other protection possibilities where applicable. The organization aspects and the economic impact of corrosion control in mining are discussed.

  14. Typesafe Modeling in Text Mining

    CERN Document Server

    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.

  15. 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.

  16. Efluent treatment with dolomite mining

    OpenAIRE

    Romero Baylón, Alfonso; UNMSM; Flores Chávez, Silvana; UNMSM; Arévalo, Walter; UNMSM

    2014-01-01

    The article shows a methodology for acid water treatment, through the remediation of effluents from the mining industry, based on the use of treated dolomite, which reduces the concentrations of dissolved heavy metal ions in metallurgical and mining effluent to reducing high levels of heavy metals, which are indicators of improved water quality of industrial wastes, mainly from metallurgical processes concentrator plants. This treatment technique solves the problem of effluent generation with...

  17. Mining the hydrosphere

    Science.gov (United States)

    Petersen, Ulrich

    1994-05-01

    Rapid technological progress over the past two decades has significantly lowered the cost of water desalination and has spurred an impressive growth of this industry. About half of the desalination capacity uses seawater, the other half uses continental brackish water. Most of the desalted water is consumed for domestic and municipal purposes. However, some of it, especially that derived from brackish water, is also competitive for irrigation of high-value crops, and for some industrial purposes, particularly in water-deficient regions. In addition to fresh water, at present only halite, magnesium, and bromine are commercially obtained from seawater. These commodities plus sodium carbonate (trona), sodium sulfate, I, Li, B, and potash are also produced from natural brines. Prior attempts to obtain potash, U, Au, and other mineral commodities from seawater failed because the market value of the recovered products was too low to cover the capital and operating costs of processing plants exclusively dedicated to recover them separately. The economics are more favorable if these and/or other elements or compounds are obtained as byproducts of seawater desalination, especially when combined with cogeneration of electricity. Under these circumstances the major capital and operating costs for pumping seawater and for disposing of the reject brine are absorbed mostly by the proceeds from freshwater production. The byproducts need only to pay for the additional recovery processes. One advantage of this strategy is to reduce the environmental impact of reject brine disposal. Another is to reduce the environmental, safety, and health impacts of land-based mining. Furthermore, obtaining nonmetallic mineral commodities from seawater at a number of localities scattered over the Earth can significantly reduce their transportation costs, which is a major proportion of their cost to nations lacking these resources. This is particularly pertinent for common salt (halite), potash

  18. Spiral mining for lunar volatiles

    Science.gov (United States)

    Schmitt, H. H.; Kulcinski, G. L.; Sviatoslavsky, I. N.; Carrier, W. D., III

    Lunar spiral mining, extending outward from a periodically mobile central power and processing station represents an alternative for comparison with more traditional mining schemes. In this concept, a mining machine would separate regolith fines and extract the contained volatiles. Volatiles then would be pumped along the miner's support arm to the central station for refining and for export or storage. The basic architecture of the central processing station would be cylindrical. A central core area could house the power subsystem of hydrogen-oxygen engines or fuel cells. Habitat sections and other crew occupied areas could be arranged around the power generation core. The outer cylinder could include all volatile refining subsystems. Solar thermal power collectors and reflectors would be positioned on top of the central station. Long term exploitation of a volatile resource region would begin with establishment of a support base at the center of a long boundary of the region. The mining tract for each spiral mining system would extend orthogonal to this boundary. New spiral mining systems would be activated along parallel tracts as demand for lunar He-3 and other solar wind volatiles increased.

  19. 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...

  20. Big Data Knowledge Mining

    Directory of Open Access Journals (Sweden)

    Huda Umar Banuqitah

    2016-11-01

    Full Text Available Big Data (BD era has been arrived. The ascent of big data applications where information accumulation has grown beyond the ability of the present programming instrument to catch, manage and process within tolerable short time. The volume is not only the characteristic that defines big data, but also velocity, variety, and value. Many resources contain BD that should be processed. The biomedical research literature is one among many other domains that hides a rich knowledge. MEDLINE is a huge biomedical research database which remain a significantly underutilized source of biological information. Discovering the useful knowledge from such huge corpus leading to many problems related to the type of information such as the related concepts of the domain of texts and the semantic relationship associated with them. In this paper, an agent-based system of two–level for Self-supervised relation extraction from MEDLINE using Unified Medical Language System (UMLS Knowledgebase, has been proposed . The model uses a Self-supervised Approach for Relation Extraction (RE by constructing enhanced training examples using information from UMLS with hybrid text features. The model incorporates Apache Spark and HBase BD technologies with multiple data mining and machine learning technique with the Multi Agent System (MAS. The system shows a better result in comparison with the current state of the art and naïve approach in terms of Accuracy, Precision, Recall and F-score.

  1. Mine roof supports

    Energy Technology Data Exchange (ETDEWEB)

    Dettmers, M.; Peters, B.; Weirich, W.

    1983-12-27

    A mine roof support has hydraulic props mounted between a floor sill and a roof bar which can be raised and lowered by extension and retraction of the props. A goaf shield is pivotably connected to the rear of the roof bar and is linked via levers to the floor sill. A hydraulic piston and cylinder unit is connected between the roof bar and the goaf shield. Apparatus serves to prevent damage to the support components, and especially to the unit which could be extended beyond its full stroke when the props are retracted to bring the goaf shield and the roof bar more or less into alignment. The protective apparatus is composed of a compact valve device operated by a member, such as a cam, to block the props from hydraulic pressure when the goaf shield and the roof bar assume a pre-determined angular disposition. Both the valve device and its operating member are disposed in a protected position within chambers formed inside the roof bar and the goaf shield adjacent the pivot connection therebetween.

  2. 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.

  3. 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.

  4. A fuzzy approach to selecting roof supports in longwall mining

    Directory of Open Access Journals (Sweden)

    Yetkin, M. E.

    2016-05-01

    Full Text Available As a decision-making problem, selecting proper machines and equipment plays a key role for mining sites and companies. Many factors affect this decision, and values belonging to these factors can be expressed numerically and/or non-numerically. In order to make the most appropriate decision, engineers must carry out an evaluation process that comprises all criteria that might affect decision-making. To achieve this, multi-criteria decision-making tools are used. As a result of technological developments, coal outputs in longwall mining have risen tremendously over the last decades, and longwall mechanisation has become unavoidable. The significance of powered roof supports in particular increases day- by-day, since the rate of roof support has to be in accordance with the rate of face advance in longwalls. In this study, an integrated fuzzy analytic hierarchy process and fuzzy goal programming model is used to select the most suitable powered roof supports. The procedure is applied to a real-life underground coal mine that is operated using the longwall method. Seven alternative powered roof supports are compared with each other, taking a total of 24 decision criteria under four main topics into account. In conclusion, the most suitable roof supports for the mine under study are determined and recommended to the decision-makers of the system.

  5. A review of heterogeneous data mining for brain disorder identification.

    Science.gov (United States)

    Cao, Bokai; Kong, Xiangnan; Yu, Philip S

    2015-12-01

    With rapid advances in neuroimaging techniques, the research on brain disorder identification has become an emerging area in the data mining community. Brain disorder data poses many unique challenges for data mining research. For example, the raw data generated by neuroimaging experiments is in tensor representations, with typical characteristics of high dimensionality, structural complexity, and nonlinear separability. Furthermore, brain connectivity networks can be constructed from the tensor data, embedding subtle interactions between brain regions. Other clinical measures are usually available reflecting the disease status from different perspectives. It is expected that integrating complementary information in the tensor data and the brain network data, and incorporating other clinical parameters will be potentially transformative for investigating disease mechanisms and for informing therapeutic interventions. Many research efforts have been devoted to this area. They have achieved great success in various applications, such as tensor-based modeling, subgraph pattern mining, and multi-view feature analysis. In this paper, we review some recent data mining methods that are used for analyzing brain disorders.

  6. 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.

  7. 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.

  8. Equivalent materials simulation experimental study on bed separations developing and mining subsidence in constant humidity and constant temperature conditions

    Institute of Scientific and Technical Information of China (English)

    FU Zhi-liang; WANG Su-hua; GAO Yan-fa

    2008-01-01

    A new experiment was made on the developing of bed separations and mining subsidence from Tangshan T2192 working face by equivalent materials simulation. The overburden deformation and the developing of bed separations with working face advanc-ing was simulated by a new model. The results show that the maximum value of bed separations moved forward gradually along with the working face advancing; the maxi-mum value of bed separations is 0.31 ~0.50 times of mining thickness. The key strata have a great influence upon surface subsidence during the overburden movement process. The mechanics parameters of new experiment are fitted with results in fields perfectly.

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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.

  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 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.

  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. 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.

  1. 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.

  2. Modeling and simulation of strata movement for protective seam mining with large interburden

    Institute of Scientific and Technical Information of China (English)

    SONG Chang-sheng; LI De-hai; LI Hua-min

    2009-01-01

    Based on simulated material scale modeling and numerical simulation,the pro-tective seam mining method was conducted at one coal mine.After extracting the No.15 seam,the overlying strata movement and the deformation of the No.9-10 protected seam were studied.The experiment results show that it is feasible to destress the protected seams with large interburden thickness.When the face had advanced 200 m from the setup room,the No.9-10 seam was fully destressed,resulting in easy gas drainage in the destressed zone.Recommendations on mining sequence of multiple seams mining in the same coal areas were made.

  3. Eliciting Drivers of Community Perceptions of Mining Projects through Effective Community Engagement

    Directory of Open Access Journals (Sweden)

    Liang Wang

    2016-07-01

    Full Text Available Sustainable mining has received much attention in recent years as a consequence of the negative impacts of mining and public awareness. The aim of this paper is to provide mining companies guidance on improving the sustainability of their sites through effective community engagement based on recent advances in the literature. It begins with a review of the literature on sustainable development and its relationship to stakeholder engagement. It then uses the literature to determine the dominant factors that affect community perceptions of mining projects. These factors are classified into five categories: environmental, economic, social, governance and demographic factors. Then, we propose a new two-stage method based on discrete choice theory and the classification that can improve stakeholder engagement and be cost-effective. Further work is required to validate the proposed method, although it shows potential to overcome some of the challenges plaguing current approaches.

  4. 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.

  5. 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.

  6. Soil genesis of mine spoil, Navajo Mine, New Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Buchanan, B.A. [New Mexico State Univ., Las Cruces, NM (United States); Stutz, H.C. [Brigham Young Univ., Provo, UT (United States); Estrada, O.J. [BHP - Utah International Inc., Fruitland, NM (United States)

    1990-12-31

    Documenting mine spoil genesis has been limited in the Western States. Few areas have {open_quotes}before{close_quotes} and {open_quotes}after{close_quotes} type data and for some mines older reclamation areas are limited. Soil samples were collected from 8-11 year old reclaimed spoil as part of a rooting depth study completed in June 1987 at the Navajo Mine. Samples were collected in 25 cm increments to depths of at least 200 cm and most often to 350 cm at a total of fifteen different reclamation plots. The spoil was composed of various amounts of shale and sandstone. The sites represented different topographic positions (swale/backslope), reclamation ages (8 to 11 years), slopes (0-15%), and topdressing treatments (with and without).

  7. 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

  8. 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

  9. Lunar Commercial Mining Logistics

    Science.gov (United States)

    Kistler, Walter P.; Citron, Bob; Taylor, Thomas C.

    2008-01-01

    Innovative commercial logistics is required for supporting lunar resource recovery operations and assisting larger consortiums in lunar mining, base operations, camp consumables and the future commercial sales of propellant over the next 50 years. To assist in lowering overall development costs, ``reuse'' innovation is suggested in reusing modified LTS in-space hardware for use on the moon's surface, developing product lines for recovered gases, regolith construction materials, surface logistics services, and other services as they evolve, (Kistler, Citron and Taylor, 2005) Surface logistics architecture is designed to have sustainable growth over 50 years, financed by private sector partners and capable of cargo transportation in both directions in support of lunar development and resource recovery development. The author's perspective on the importance of logistics is based on five years experience at remote sites on Earth, where remote base supply chain logistics didn't always work, (Taylor, 1975a). The planning and control of the flow of goods and materials to and from the moon's surface may be the most complicated logistics challenges yet to be attempted. Affordability is tied to the innovation and ingenuity used to keep the transportation and surface operations costs as low as practical. Eleven innovations are proposed and discussed by an entrepreneurial commercial space startup team that has had success in introducing commercial space innovation and reducing the cost of space operations in the past. This logistics architecture offers NASA and other exploring nations a commercial alternative for non-essential cargo. Five transportation technologies and eleven surface innovations create the logistics transportation system discussed.

  10. Surface mining of the uranium deposit of Roussay (France)

    Energy Technology Data Exchange (ETDEWEB)

    Begeot, M.; Marvy, A.

    1986-12-01

    Surface mining of this COGEMA mine started in October 1983. Mine, personnel, deposit geology, prospecting, mining method and equipment, environmental problems (dusts, noise, water treatment, revegetation) are described. 158000 kg of uranium were produced in 1985.

  11. 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.

  12. Virtual reality teaching and training systems in mining - applications and operational experiences; VR-Schulungs- und Trainingssysteme im Bergbau - Anwendungen und Einsatzerfahrungen

    Energy Technology Data Exchange (ETDEWEB)

    Schmid, M. [Deutsche Montan Technologie GmbH (DMT), Essen (Germany). Geschaeftsfeld Bergbau Service; Rossmann, M. [Deutsche Steinkohle AG (DSK), Herne (Germany). Abt. Technisches Innovationsmanagement; Laskawy, J. [Deutsche Steinkohle AG (DSK), Herne (Germany). Abt. Organisations- und Personalentwicklung; Kapinos, A. [Bergwerk Prosper-Haniel der Deutschen Steinkohle AG (DSK), Bottrop (Germany)

    2004-11-11

    Innovations in the mining industry often comprise technology advances through the adoption well known technologies. With Virtual Reality (VR) teaching and training systems advanced computational instruments, both in software development and hardware, were applied in the German coal mining industry within the last four years. A widening list of applications as well as the encouraging achievements show the economical benefits of investing in VR teaching and training systems. (orig.)

  13. 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.

  14. 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...

  15. 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

  16. 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...

  17. Interaction graph mining for protein complexes using local clique merging.

    Science.gov (United States)

    Li, Xiao-Li; Tan, Soon-Heng; Foo, Chuan-Sheng; Ng, See-Kiong

    2005-01-01

    While recent technological advances have made available large datasets of experimentally-detected pairwise protein-protein interactions, there is still a lack of experimentally-determined protein complex data. To make up for this lack of protein complex data, we explore the mining of existing protein interaction graphs for protein complexes. This paper proposes a novel graph mining algorithm to detect the dense neighborhoods (highly connected regions) in an interaction graph which may correspond to protein complexes. Our algorithm first locates local cliques for each graph vertex (protein) and then merge the detected local cliques according to their affinity to form maximal dense regions. We present experimental results with yeast protein interaction data to demonstrate the effectiveness of our proposed method. Compared with other existing techniques, our predicted complexes can match or overlap significantly better with the known protein complexes in the MIPS benchmark database. Novel protein complexes were also predicted to help biologists in their search for new protein complexes.

  18. 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.

  19. Arsenic-Microbe-Mineral Interactions in Mining-Affected Environments

    Directory of Open Access Journals (Sweden)

    Karen A. Hudson-Edwards

    2013-10-01

    Full Text Available The toxic element arsenic (As occurs widely in solid and liquid mine wastes. Aqueous forms of arsenic are taken up in As-bearing sulfides, arsenides, sulfosalts, oxides, oxyhydroxides, Fe-oxides, -hydroxides, -oxyhydroxides and -sulfates, and Fe-, Ca-Fe- and other arsenates. Although a considerable body of research has demonstrated that microbes play a significant role in the precipitation and dissolution of these As-bearing minerals, and in the alteration of the redox state of As, in natural and simulated mining environments, the molecular-scale mechanisms of these interactions are still not well understood. Further research is required using traditional and novel mineralogical, spectroscopic and microbiological techniques to further advance this field, and to help design remediation schemes.

  20. Text mining: A Brief survey

    Directory of Open Access Journals (Sweden)

    Falguni N. Patel , Neha R. Soni

    2012-12-01

    Full Text Available 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 also discussed different technologies that teach computers with natural language so that they may analyze, understand, and even generate text. In addition, we briefly discuss a number of successful applications of text mining which are used currently and in future.

  1. 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.

  2. 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.

  3. Text mining for systems biology.

    Science.gov (United States)

    Fluck, Juliane; Hofmann-Apitius, Martin

    2014-02-01

    Scientific communication in biomedicine is, by and large, still text based. Text mining technologies for the automated extraction of useful biomedical information from unstructured text that can be directly used for systems biology modelling have been substantially improved over the past few years. In this review, we underline the importance of named entity recognition and relationship extraction as fundamental approaches that are relevant to systems biology. Furthermore, we emphasize the role of publicly organized scientific benchmarking challenges that reflect the current status of text-mining technology and are important in moving the entire field forward. Given further interdisciplinary development of systems biology-orientated ontologies and training corpora, we expect a steadily increasing impact of text-mining technology on systems biology in the future.

  4. APPLYING DATA MINING APPROACHES TO FURTHER ...

    Science.gov (United States)

    This dataset will be used to illustrate various data mining techniques to biologically profile the chemical space. This dataset will be used to illustrate various data mining techniques to biologically profile the chemical space.

  5. Coal Mining-Related Respiratory Diseases

    Science.gov (United States)

    ... Topics Publications and Products Programs Contact NIOSH NIOSH COAL WORKERS' HEALTH SURVEILLANCE PROGRAM Recommend on Facebook Tweet Share Compartir Coal Mining-Related Respiratory Diseases Coal mining-related respiratory ...

  6. 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.

  7. 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. The...

  8. Environmental studies for deep seabed mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    that may occur. The data generated through environmental studies would be useful not only in understanding the potential effects of large scale mining in marine ecosystem, but also in the development of various mining subsystems. However, owing...

  9. 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

  10. Mining Technology. An Assessment Study for Educational Institutions Potential Involvement in Servicing the Mining Industry.

    Science.gov (United States)

    Westmoreland County Community Coll., Youngwood, PA.

    Prepared to serve the 2-year college administrator and faculty member in becoming acquainted with the coal mining industry and in developing degree and nondegree programs in mining technology, this report provides descriptions of the mining industry, organization of labor, job descriptions, types and methods of coal mining, certification…

  11. 30 CFR 49.4 - Alternative mine rescue capability for special mining conditions.

    Science.gov (United States)

    2010-07-01

    ... parts of the mine in which miners work or travel; (4) Roadways or other openings are not supported or... to the Administrator for Coal Mine Safety and Health or the Administrator for Metal and Nonmetal Mine... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Alternative mine rescue capability for...

  12. 30 CFR 77.1201 - Certification of mine maps.

    Science.gov (United States)

    2010-07-01

    ....1201 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH MANDATORY SAFETY STANDARDS, SURFACE COAL MINES AND SURFACE WORK AREAS OF UNDERGROUND COAL MINES Maps § 77.1201 Certification of mine maps. Mine maps shall be made or certified by an engineer...

  13. 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),...

  14. 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...

  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. Data Partitioning View of Mining Big Data

    OpenAIRE

    Zhang, Shichao

    2016-01-01

    There are two main approximations of mining big data in memory. One is to partition a big dataset to several subsets, so as to mine each subset in memory. By this way, global patterns can be obtained by synthesizing all local patterns discovered from these subsets. Another is the statistical sampling method. This indicates that data partitioning should be an important strategy for mining big data. This paper recalls our work on mining big data with a data partitioning and shows some interesti...

  17. 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...

  18. 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.

  19. 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.

  20. Logistics background study: underground mining

    Energy Technology Data Exchange (ETDEWEB)

    Hanslovan, J. J.; Visovsky, R. G.

    1982-02-01

    Logistical functions that are normally associated with US underground coal mining are investigated and analyzed. These functions imply all activities and services that support the producing sections of the mine. The report provides a better understanding of how these functions impact coal production in terms of time, cost, and safety. Major underground logistics activities are analyzed and include: transportation and personnel, supplies and equipment; transportation of coal and rock; electrical distribution and communications systems; water handling; hydraulics; and ventilation systems. Recommended areas for future research are identified and prioritized.

  1. 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

  2. Design fires in underground mines

    OpenAIRE

    Hansen, Rickard

    2010-01-01

    This report deals with the issue on design fires in underground mines. The main purposes of the report are: -          Describe different approaches to describe design fires. -          Develop suitable design fires for different systems, mines, warehouses, workshops etc. -          Discuss the position of the design fires with respect to adjacent installations, egress, interruptions in the production etc. -          Discuss the influence of ventilation on the fire growth and its influence wh...

  3. 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.

  4. 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.

  5. Numerical study on 4-1 coal seam of Xiaoming mine in ascending mining.

    Science.gov (United States)

    Lan, Tianwei; Zhang, Hongwei; Li, Sheng; Han, Jun; Song, Weihua; Batugin, A C; Tang, Guoshui

    2015-01-01

    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.

  6. 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.

  7. Preparation of ore blocks for mine leaching by reagent explosion injection

    Science.gov (United States)

    Shevchenko, YuS

    2017-02-01

    The current drilling-and-blasting operations fail to prepare intact ore body underlying a production horizon for subsequent mining and leaching. It is found that the required preparation quality is possible by means of advanced implementation of ore body discontinuity and filling of the resultant system of joints with active leaching solutions.

  8. 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

  9. Abandoned deep mine subsidence investigation and remedial design, Interstate 70, Guernsey County, Ohio

    Energy Technology Data Exchange (ETDEWEB)

    Hoffmann, A.G.; Clark, D.M.; Bechtel, T.D.

    1999-07-01

    A two thousand linear foot, undermined section of Interstate 70 in Guernsey County, Ohio experienced settlements due to pothole type subsidence events within the travel lanes, shoulders and adjacent right-of-way areas. Potholes measured approximately ten feet in depth and width. The subsidence occurred after the dewatering of the abandoned deep mine during auger mining operations west of the site. A two-phase emergency investigation was undertaken by the Ohio Department of Transportation (ODOT) and Gannett Fleming Cord dry and Carpenter (GF). The purpose of the investigation was to assess the immediate danger of potholes occurring in the traveled lanes and paved shoulders, to identify the subsidence mechanisms, and to design a remediation program. Phase one investigations involved the review of existing subsurface data, the advancement of shallow borings and the performance of multiple geophysical surveys including ground penetrating radar, seismic refraction and electromagnetic terrain conductivity. The Phase one investigations did not reveal the presence of subsidence voids. Phase two investigations included borings to the mine level and videotaping of mine conditions. The mine was found to be completely flooded. Based upon the collected data, two mechanisms of failure, localized roof fall and piping of overburden soils into the mine void, were identified. Two remedial alternatives, (1) the filling of the mine void, and (2) the reinforcement of the highway using geotextiles, were evaluated, Filling of the mined interval and grouting of overburden bedrock fractures and voids, within a limited area, were selected. Construction plans, specifications and cost estimates were prepared for bidding and award. During the bidding process, a catastrophic, pothole type failure of the I-70 travel lanes occurred. The interstate was closed and the planned remediation activities were performed as an emergency project. The mine interval was grouted and portions of the highway

  10. Using an Instrumented Mine to Validate Models Predicting Mine Burial

    Science.gov (United States)

    2016-06-07

    surface- gravity -wave-induced momentary and cyclic liquefaction models. APPROACH In FY98 we designed and constructed a mine analogue instrumented with...1 c m S p ac in g Ju ly Augu st 1 3 5 7 9 113028 RELATED PROJECTS 1 – The 1999 NRL 6.1 High -Frequency Acoustics Spatial Variability field

  11. 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.

  12. 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

  13. 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…

  14. 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...

  15. 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.

  16. 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…

  17. Data Mining and Discovery of Chemical Knowledge

    Science.gov (United States)

    Wencong, Lu

    In this chapter, the Data mining methods adopted are briefly introduced. The main focuses are on the successful applications of data mining methods in chemistry and chemical engineering. The discoveries of chemical knowledge cover the formation of ternary Intermetallic compounds, structure activity relationships of drugs, and industrial optimization based on chemical data mining methods, especially by using statistical pattern recognition and support vector machine.

  18. 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.

  19. Influence of Mining Thickness on the Rationality of Upward Mining in Coal Seam Group

    OpenAIRE

    2016-01-01

    This study aimed to determine the influence of mining thickness on the rationality of upward mining in coal seam group. Numerical simulation and theoretical analysis were performed to investigate the influence of the mining thicknesses of initial mining seam on the destruction and pressure relief effect of the upper coal seam in a high-gas coal seam group. The mechanical model of the roof failure based on the mining thickness was established by assuming that the gob formed after a...

  20. 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

  1. Survey of technological advancement of coal exploitation in Asia and Pacific for fiscal 1997. Formulation of production plans for model coal mines in China; 1997 nendo Asia Taiheiyo sekitan kaihatsu kodoka chosa. Chugoku ni okeru model tanko no seisan keikaku no sakutei

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-03-01

    In view of the prospective demand for coal in China and of the current state of transportation, a development plan is formulated for Tangkou Mining Area (of model mines) for the purpose of realizing efficient exploitation of coal. The infrastructures for coal transportation are complete in this area, and delivery of coal is easy from this area to the coal demanding regions. Although coal seams are quite deep in the ground, the important ones contain rich reserves. Exploitation is carried out under a vertical shaft scheme, in which pits extend horizontally at the level of 950m below the sea surface. As for production, an annual yield of 3-million ton is predicted thanks to two compositely mechanized coal faces. Coal is won by the monolayer side hole method in the case of seams not thicker than 4.0m, and by the caved stope method in the case not thinner than 4.0m. Employed for the mines are 1077 people. Operation days are 300, efficiency 15t/man/shift. The annual sale in total is expected to be worth 759-million 534.6-thousand yuan. To be required for the construction will be 1.2-billion yuan for mines and 0.2-billion yuan for coal dressing facilities, or 1.4-billion yuan in all, and the figures indicate that the plan is economically promising. 43 figs., 119 tabs.

  2. Sustainable rehabilitation of mining waste and acid mine drainage using geochemistry, mine type, mineralogy, texture, ore extraction and climate knowledge.

    Science.gov (United States)

    Anawar, Hossain Md

    2015-08-01

    The oxidative dissolution of sulfidic minerals releases the extremely acidic leachate, sulfate and potentially toxic elements e.g., As, Ag, Cd, Cr, Cu, Hg, Ni, Pb, Sb, Th, U, Zn, etc. from different mine tailings and waste dumps. For the sustainable rehabilitation and disposal of mining waste, the sources and mechanisms of contaminant generation, fate and transport of contaminants should be clearly understood. Therefore, this study has provided a critical review on (1) recent insights in mechanisms of oxidation of sulfidic minerals, (2) environmental contamination by mining waste, and (3) remediation and rehabilitation techniques, and (4) then developed the GEMTEC conceptual model/guide [(bio)-geochemistry-mine type-mineralogy- geological texture-ore extraction process-climatic knowledge)] to provide the new scientific approach and knowledge for remediation of mining wastes and acid mine drainage. This study has suggested the pre-mining geological, geochemical, mineralogical and microtextural characterization of different mineral deposits, and post-mining studies of ore extraction processes, physical, geochemical, mineralogical and microbial reactions, natural attenuation and effect of climate change for sustainable rehabilitation of mining waste. All components of this model should be considered for effective and integrated management of mining waste and acid mine drainage.

  3. 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

  4. 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 geometry...

  5. Planning for integrated mine closure

    Energy Technology Data Exchange (ETDEWEB)

    Linda Starke (ed.)

    2008-07-01

    This document presents an Integrated Mine Closure Planning Toolkit for the mining and metals sector. The toolkit is intended to be used to promote a more disciplined approach to integrated closure planning and to increase the uniformity of good practices across the sector. The concepts apply equally well to both large and small companies. The document is not intended to be prescriptive; it provides a suite of tools that can be brought to bear in formulating well-considered decisions when planning for closure. It uses a risk and opportunity based process to guide the practitioner through the iterative process of preparing for planned closure. The first section, with head office and mine management personnel as the primary audience, describes the participants of effective closure planning. Sections 2 and 3 provide the frameworks for a conceptual closure plan and a detailed plan. The key audiences for these two sections are mine management and head office personnel, financial modellers and estimators, governments, academics and non-governmental organizations. The forth section addresses decommissioning and post closure planning, and Section 5 draws together the conclusions and outlines several unresolved issues. The five narrative sections are followed by Section 6 which outlines 13 tools, some of which are already available in earlier ICMM publications, member practices and other sector-affiliated publications. Others have been developed to cover identified gaps. These tools provide the practitioner with practical work processes, examples and contexts within which to apply closure planning discipline.

  6. DGIdb - Mining the druggable genome

    Science.gov (United States)

    Coffman, Adam C.; Weible, James V.; McMichael, Josh F.; Spies, Nicholas C.; Koval, James; Das, Indraniel; Callaway, Matthew B.; Eldred, James M.; Miller, Christopher A.; Subramanian, Janakiraman; Govindan, Ramaswamy; Kumar, Runjun D.; Bose, Ron; Ding, Li; Walker, Jason R.; Larson, David E.; Dooling, David J.; Smith, Scott M.; Ley, Timothy J.; Mardis, Elaine R.; Wilson, Richard K.

    2013-01-01

    The Drug-Gene Interaction database (DGIdb) mines existing resources that generate hypotheses about how mutated genes might be targeted therapeutically or prioritized for drug development. It provides an interface for searching lists of genes against a compendium of drug-gene interactions and potentially druggable genes. DGIdb can be accessed at dgidb.org. PMID:24122041

  7. DGIdb - Mining the druggable genome

    OpenAIRE

    Griffith, Malachi; Griffith, Obi L; Coffman, Adam C.; Weible, James V.; McMichael, Josh F; Nicholas C Spies; Koval, James; Das, Indraniel; Callaway, Matthew B.; Eldred, James M.; Miller, Christopher A.; Subramanian, Janakiraman; Govindan, Ramaswamy; Runjun D Kumar; Bose, Ron

    2013-01-01

    The Drug-Gene Interaction database (DGIdb) mines existing resources that generate hypotheses about how mutated genes might be targeted therapeutically or prioritized for drug development. It provides an interface for searching lists of genes against a compendium of drug-gene interactions and potentially druggable genes. DGIdb can be accessed at dgidb.org.

  8. 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

  9. 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.…

  10. 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…

  11. Reviving "Walden": Mining the Text.

    Science.gov (United States)

    Hewitt Julia

    2000-01-01

    Describes how the author and her high school English students begin their study of Thoreau's "Walden" by mining the text for quotations to inspire their own writing and discussion on the topic, "How does Thoreau speak to you or how could he speak to someone you know?" (SR)

  12. 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.

  13. 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,

  14. Mining Recurrent Pattern Identification on Large Database

    Directory of Open Access Journals (Sweden)

    Shivangi Srivastava

    2014-04-01

    Full Text Available Recurrent pattern mining is an important problem in the context of data mining. In this paper data mining algorithms have been discussed and compared. Recurrent pattern mining has been an important area in data mining research and it is the first step in the analysis of data rising in a broad range of applications. The algorithms are compared with respect to the items like methodology and its basic principles in terms of the elements user like support, and scan of the database (full or partial.

  15. Association Rule Mining and Its Application

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS-Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.

  16. Chopper:Efficient Algorithm for Tree Mining

    Institute of Scientific and Technical Information of China (English)

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

    2004-01-01

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

  17. Overview of Anti-tank Mines

    Institute of Scientific and Technical Information of China (English)

    Manfred Held

    2006-01-01

    First the different anti-tank mines laying possibilities are shortly summarized: hand emplaced, with mine layers, ground or helicopter relatively topographical well defined, and with cluster systems of projectiles, rockets and aircraft dispensers. Then examples of the three generations of anti-tank mines are presented:Ⅰ generation: detonating only beneath the track; Ⅱ generation: detonating beneath the track and belly;Ⅲ generation: mines with off-route actions. Weight and cost comparisons are strongly favoring the off-route Ⅲ-generation mines.

  18. Mine waste management legislation. Gold mining areas in Romania

    Science.gov (United States)

    Maftei, Raluca-Mihaela; Filipciuc, Constantina; Tudor, Elena

    2014-05-01

    Problems in the post-mining regions of Eastern Europe range from degraded land and landscapes, huge insecure dumps, surface cracks, soil pollution, lowering groundwater table, deforestation, and damaged cultural potentials to socio economic problems like unemployment or population decline. There is no common prescription for tackling the development of post-mining regions after mine closure nor is there a common definition of good practices or policy in this field. Key words : waste management, legislation, EU Directive, post mining Rosia Montana is a common oh 16 villages; one of them is also called Rosia Montana, a traditional mining Community, located in the Apuseni Mountains in the North-Western Romania. Beneath part of the village area lays one of the largest gold and silver deposits in Europe. In the Rosia Montana area mining had begun ever since the height of the Roman Empire. While the modern approach to mining demands careful remediation of environmental impacts, historically disused mines in this region have been abandoned, leaving widespread environmental damage. General legislative framework Strict regulations and procedures govern modern mining activity, including mitigation of all environmental impacts. Precious metals exploitation is put under GO no. 190/2000 re-published in 2004. The institutional framework was established and organized based on specific regulations, being represented by the following bodies: • The Ministry of Economy and Commerce (MEC), a public institution which develops the Government policy in the mining area, also provides the management of the public property in the mineral resources area; • The National Agency for the development and implementation of the mining Regions Reconstruction Programs (NAD), responsible with promotion of social mitigation measures and actions; • The Office for Industry Privatization, within the Education Ministry, responsible with privatization of companies under the CEM; • The National

  19. [Lung tissue in intratracheal exposure to mine dust].

    Science.gov (United States)

    Mikhaĭlova, A; Vodenicharov, E

    1984-01-01

    The experiment was performed 64 albino female rats by a single, intretracheal treatment with 50 mg mine dust. Dynamic biochemical studies were carried out - by 3th and 6th months of the experiment. The data obtained were compared with the changes observed in the positive controls - DQ12 and Ti02 The activity of the oxidation-reduction enzymes and hydrolytic ones was enhanced, the content of sulphhydryl groups and soluble proteins was increased. The results obtained are an evidence of the advancing metabolic disturbances in pulmonary tissue, being better manifested by 6th month of the experiment.

  20. Numerical simulation on the risk of roof water inrush in Wuyang Coal Mine

    Institute of Scientific and Technical Information of China (English)

    Yao Banghua; Bai Haibo; Zhang Boyang

    2012-01-01

    Water-inrush in mine is one of the mine disasters caused by mining.In order to assess the risk of roof water-inrush in Wuyang Coal Mine based on the geological material of the coal mine.we built numerical models for the roof fracture and seepage development rule by using RFPA2D and COMSOL respectively,to analyze the changes in fracture zone,stress,water pressure and seepage vector with the advancement of working face,and compared the results with the field investigated data.The numerical simulation results indicate that:(1) with the advancement of the working faces,the stress relief range and fracture zone in the overlying strata increased rapidly up to about 90 m,and then tended to remain constant,reaching a final height of about 9.5 m which agrees with the field investigation;(2) the seepage flow constantly increased with a larger flow volume both in the front and rear area,where the stress concentration are the most serious.

  1. Applied data mining for business and industry

    CERN Document Server

    Giudici, Paolo

    2009-01-01

    The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications.Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.Features detailed case studies based on applied projects within industry.Incorporates discussion of data mining software, with case studies a...

  2. Technological applications of robotics in mining

    Energy Technology Data Exchange (ETDEWEB)

    Konyukh, V. [Institute of Coal, Kemerovo (Russian Federation)

    1996-12-31

    There are the objective preconditions for use of automated multifunctional machines in mining. Some methods for evaluation of mining robotisability are offered. Functional modeling and Petri nets were used for synthesis and dynamic simulation of mining robotics systems. It enables to construct some robotics-based technologies for underground mining. The trial of rail robocar and teleloader in the Siberian ore-mines showed it is necessary to have a post-learning of control system. The created database about 90 applications of robotics in coal and other mining is used for choice and synthesis of robotized technologies. There are 6 direct and 8 indirect sources of robotics efficiency in mining, that are evaluated total by correlation between materialized and present labor expenses. 4 refs., 7 figs.

  3. Pbm: A new dataset for blog mining

    CERN Document Server

    Aziz, Mehwish

    2012-01-01

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

  4. 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.

  5. Study on Critical, Modern Technology for Mining in Gassy Deep Mines

    Institute of Scientific and Technical Information of China (English)

    YUAN Liang

    2007-01-01

    To achieve safe and highly efficient mining in the gassy, deep mines of the Huainan collieries simultaneous coal and gas extraction, and the corresponding ventilation methods were developed. This includes a set of mining procedures and principles which help insure safe and efficient production. Furthermore, green mining, meaning the comprehensive use of emitted gas, proper treatment of the environment and appropriate mine temperature control, is now standard. The concepts of modern mining and the principles of pressure relief are described. Coal-gas simultaneous extraction and multi-pressure relief techniques were developed which require a combination of surface and underground gas extraction. The application of Y-ventilation systems, of roadways retained along goafs, of stress control techniques for highly fragile mine roofs and of powerful, automatic and reliable mining equipment contributes to safe operation of modern deep mines. Operating parameters for these techniques are described and the results of their use discussed.

  6. Fractal characterization for the mining crack evolution process of overlying strata based on microseismic monitoring technology

    Institute of Scientific and Technical Information of China (English)

    Liu Chao; Xue Junhua; Yu Guofeng; Cheng Xiaoyu

    2016-01-01

    In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure, we studied the process of evolution of overburden rock mining-induced fissures and dynamically quantitatively described its fractal laws, based on the high-precision microseismic mon-itoring method and the nonlinear Fractal Geometry Theory. The results show that:the overburden rock mining-induced fissure fractal dimension experiences two periodic change processes with the coal face advance, namely a Small ? Big ? Small process, which tends to be stable; the functional relationship between the extraction step distance and the overburden rock mining-induced fissure fractal dimension is a cubic curve. The results suggest that the fractal dimension reflects the evolution characteristics of the overburden rock mining-induced fissure, which can be used as an evaluation index of the stability of the overburden rock strata, and it provides theoretical guidance for stability analysis of the overburden rock strata, goaf roof control and the support movements in the mining face.

  7. Numerical analysis of water inrush from working-face floor during mining

    Institute of Scientific and Technical Information of China (English)

    ZHU Qing-hua; FENG Mei-mei; MAO Xian-biao

    2008-01-01

    Confined water in the Ordovician limestone is one of the hidden troubles that threaten safe production of mines in north China. A numerical model of the key strata was developed. It included the structural characteristics and mechanical properties of the floor rock at the working face of a particular coal mine. The model was used to predict failure modes and to help establish rules for safe mining above the aquifer. The distribution of deformation, failure and seepage was simulated by using Dilian Mechsoft's Rea- listic Failure Process Analysis (RFPA2D) program. The stress distribution, the deformation and the flow vectors were also obtained. The results indicate that: 1) The original balance of the stress and seepage fields is disturbed due to coal mining; and 2) As the working face advances different deformation, or failure, appears in the surrounding rocks, the water-resisting strata in floor may be destroyed and the passage of water from the aquifer into the mine may occur. The combined action of mining stress and water pressure ultimately lead to water inrush from the floor.

  8. Modeling and simulation of ocean mining subsystem based on virtual prototyping technology

    Institute of Scientific and Technical Information of China (English)

    XIA Yi-min; BU Ying-yong; MA Zhi-guo; ZAO Hai-ming; LUO Bo-wen

    2005-01-01

    According to the virtual prototyping technology and the theory of dynamics of multi-rigid-body system, a virtual prototyping of ocean mining vehicle was constructed by using 3-dimensional entity modeling software (Pro/E), automatic dynamic analysis of mechanical systems(ADAMS) and advanced visual software(AVS). After 32 new modules were developed with C++ at AVS platform, the interface problems of the 3 types of software were solved effectively and a visual environment for ocean mining subsystem was constructed. Based on the similarity theory and similarity experiments, the validity and reliability of the virtual prototyping were verified. By using the constructed virtual prototyping, the relevant parameters, such as cutting depth, rotation speed of roller,marching speed of mining vehicle can be adjusted one by one. After repeatable virtual tests and analysis its corresponding dynamic characteristics, the structure parameter of mining vehicle and the parameter of mining process can be optimized fast and accurately. The experiment and simulation results show that, under the controlled mining parameters, 4 function expressions between the average force of single pick,average torque,average cutting power,energy consumption ratio and cutting depth are obtained. The maximum force of a single pick is less than 11 090 N and the maximum torque of the roller is less than 3600N·m.

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

    Science.gov (United States)

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

    2012-01-01

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

  10. Using text-mining techniques in electronic patient records to identify ADRs from medicine use.

    Science.gov (United States)

    Warrer, Pernille; Hansen, Ebba Holme; Juhl-Jensen, Lars; Aagaard, Lise

    2012-05-01

    This literature review included studies that use text-mining techniques in narrative documents stored in electronic patient records (EPRs) to investigate ADRs. We searched PubMed, Embase, Web of Science and International Pharmaceutical Abstracts without restrictions from origin until July 2011. We included empirically based studies on text mining of electronic patient records (EPRs) that focused on detecting ADRs, excluding those that investigated adverse events not related to medicine use. We extracted information on study populations, EPR data sources, frequencies and types of the identified ADRs, medicines associated with ADRs, text-mining algorithms used and their performance. Seven studies, all from the United States, were eligible for inclusion in the review. Studies were published from 2001, the majority between 2009 and 2010. Text-mining techniques varied over time from simple free text searching of outpatient visit notes and inpatient discharge summaries to more advanced techniques involving natural language processing (NLP) of inpatient discharge summaries. Performance appeared to increase with the use of NLP, although many ADRs were still missed. Due to differences in study design and populations, various types of ADRs were identified and thus we could not make comparisons across studies. The review underscores the feasibility and potential of text mining to investigate narrative documents in EPRs for ADRs. However, more empirical studies are needed to evaluate whether text mining of EPRs can be used systematically to collect new information about ADRs.

  11. The assessment of mine rebound and decanting in deeper coal mines

    Energy Technology Data Exchange (ETDEWEB)

    Vermeulen, P.D.; Dennis, I. [Inst. for Groundwater Studies, Bloemfontein (South Africa)

    2010-07-01

    This groundwater and monitoring study of 7 interlinked deep coal collieries in South Africa was conducted to develop analytical and numerical decant models of individual collieries suitable for integration into a single large model. The model will be used to prevent acid mine drainage after mining activities have stopped. The models considered interconnectivity between the mines, the geology of the overburden, the type of mining conducted at each mine, the topography and depth of the mining activities, and the piezometric levels of the mines and involved aquifers. The overburden formations in the studied region consisted of sandstone, shale, interbedded siltstone, mudstone and coal seams. Removal of the coal seams has resulted in the caving of the overlying strata into mined voids. The mining disruptions have resulted in subsidence and recharges of between 5 and 7 percent. The conceptual decant model predicted that piezometric levels of the mine will rise with the storage coefficient value of the mine. The flux from the overlying aquifers will decrease as water levels even out. Any polluted water will need to overcome 4 bar of pressure to to decant. Excess water above the weathered zone in the mines will seep out as normal unpolluted springs at lower points. Results of the numerical modelling study showed that it is unlikely that the collieries will decant, as the piezometric level of the mines will rise with the storage coefficient value of the mine. 5 refs., 4 figs.

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

    Directory of Open Access Journals (Sweden)

    U. Böttger

    2004-01-01

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

  13. Present Status and Prospects of Modernized Mining Technology and Equipment in China Coal Mine%中国煤矿现代化开采技术装备现状及其展望

    Institute of Scientific and Technical Information of China (English)

    王金华

    2011-01-01

    总结了近10年来中国煤机装备先进的技术成果,以及大采高综采、大采高综放开采、短壁开采等现代化开采技术现状及其应用.我国现代化开采方法与煤机装备的协调快速发展,大幅推进了煤矿"高产、高效、安全、洁净"的发展进程,形成了具有中国特色的现代化开采技术与装备体系.对中国煤矿现代化开采技术与装备的发展趋势进行了前瞻性展望,认为我国现代化开采技术在快速发展的同时,工作面装备智能化技术,成套装备系统高可靠性综合技术,安全、环境与采煤协调开采技术,高强度开采条件下围岩活动规律等仍需进行进一步深入研究.%The paper summarized the advanced technical achievements of the coal machinery equipment in China in the passed 10 years,including the present status and application of the high mining height fully mechanized coal mining, high mining height mechanized top coal caving mining, shortwall coal mining and other modernized coal mining technology. The coordinative rapid development of the modernized mining method and the coal machinery equipment in China had highly pushed the progress of the “mine high production, high efficiency, safety and clean” development and had formed the modernized mining technology and equipment system with China characteristics. The paper had a prospective outlook on the development tendency of the modernized mining technology and equipment in China. The paper held that meanwhile the modern coal mining technology in China was rapidly developing, a further deep study on the intelligent technology of the coal mining face equipment, the high reliability comprehensive technology of the completed equipment system, safety, environment and coal mining coordinated mining technology, the surrounding rock activity law under the high intensified mining conditions shall be conducted.

  14. Case studies and analysis of mine shafts incidents in Europe

    OpenAIRE

    Lecomte, Amélie; Salmon, Romuald; Yang, W.; Marshall, Alec; Purvis, M.; Prusek, S.; Bock, Slawomir; Gajda, L.; Dziura, J.; Munos Niharra, Agustin

    2012-01-01

    International audience; Entry to mine workings is normally gained by means of vertical shafts or horizontal or inclined tunnels called adits. Other mining objects such as fan drifts and wheel pits are often associated with mine shafts. Such mining objects may or may not have been filled, wholly or partially, or otherwise sealed to prevent entry when the mine was abandoned. Nowadays mine entries are usually adequately protected on abandonment to prevent accidental ingress. Many earlier mine en...

  15. Text Mining to Support Gene Ontology Curation and Vice Versa.

    Science.gov (United States)

    Ruch, Patrick

    2017-01-01

    In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decade of efforts to improve the automatic assignment of Gene Ontology (GO) descriptors, the reference ontology for the characterization of genes and gene products. To illustrate the high potential of this approach, we compare the performances of an automatic text categorizer and show a large improvement of +225 % in both precision and recall on benchmarked data. We argue that automatic text categorization functions can ultimately be embedded into a Question-Answering (QA) system to answer questions related to protein functions. Because GO descriptors can be relatively long and specific, traditional QA systems cannot answer such questions. A new type of QA system, so-called Deep QA which uses machine learning methods trained with curated contents, is thus emerging. Finally, future advances of text mining instruments are directly dependent on the availability of high-quality annotated contents at every curation step. Databases workflows must start recording explicitly all the data they curate and ideally also some of the data they do not curate.

  16. Large-scale data mining pilot project in human genome

    Energy Technology Data Exchange (ETDEWEB)

    Musick, R.; Fidelis, R.; Slezak, T.

    1997-05-01

    This whitepaper briefly describes a new, aggressive effort in large- scale data Livermore National Labs. The implications of `large- scale` will be clarified Section. In the short term, this effort will focus on several @ssion-critical questions of Genome project. We will adapt current data mining techniques to the Genome domain, to quantify the accuracy of inference results, and lay the groundwork for a more extensive effort in large-scale data mining. A major aspect of the approach is that we will be fully-staffed data warehousing effort in the human Genome area. The long term goal is strong applications- oriented research program in large-@e data mining. The tools, skill set gained will be directly applicable to a wide spectrum of tasks involving a for large spatial and multidimensional data. This includes applications in ensuring non-proliferation, stockpile stewardship, enabling Global Ecology (Materials Database Industrial Ecology), advancing the Biosciences (Human Genome Project), and supporting data for others (Battlefield Management, Health Care).

  17. CIMTEL- Mining Algorithm for Big Data in Telecommunication

    Directory of Open Access Journals (Sweden)

    G.Nagarajan

    2015-10-01

    Full Text Available The field of data mining has flourished into research area of significant technological and social importance due to the advancement in technology. Mining frequent pattern or itemset from real data environment is a fundamental and essential problem in many data mining applications. The Apriori-inspired algorithms show good performance with sparse datasets such as market-basket data, where the frequent patterns are very short. However, in the area with dense datasets such as telecommunication, computational biology and census data, the performance of these algorithms degrades incredibly as there were many, long frequent patterns. The focus of this paper is to design a CPU- efficient algorithm CIMTEL for finding closed frequent calling patterns (long pattern in a telecommunication database. Due to the evaluation of next generation telecommunication network the amount of communication data’s rises in volume, vaiety and velocity (Bid Data. Thus algorithm provides an way for analysis the consumer for service provider. The Performance of this algorithm outperforms the former COLTEL , CHARM and EXPEDITE algorithm by an order of two for a worst case scenario. Also the performance analysis of this algorithm with former algorithms is determined.

  18. Developing and Implementing the Data Mining Algorithms in RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    Sen, Ramazan Sonat [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Daniel Patrick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-09-01

    The RAVEN code is becoming a comprehensive tool to perform probabilistic risk assessment, uncertainty quantification, and verification and validation. The RAVEN code is being developed to support many programs and to provide a set of methodologies and algorithms for advanced analysis. Scientific computer codes can generate enormous amounts of data. To post-process and analyze such data might, in some cases, take longer than the initial software runtime. Data mining algorithms/methods help in recognizing and understanding patterns in the data, and thus discover knowledge in databases. The methodologies used in the dynamic probabilistic risk assessment or in uncertainty and error quantification analysis couple system/physics codes with simulation controller codes, such as RAVEN. RAVEN introduces both deterministic and stochastic elements into the simulation while the system/physics code model the dynamics deterministically. A typical analysis is performed by sampling values of a set of parameter values. A major challenge in using dynamic probabilistic risk assessment or uncertainty and error quantification analysis for a complex system is to analyze the large number of scenarios generated. Data mining techniques are typically used to better organize and understand data, i.e. recognizing patterns in the data. This report focuses on development and implementation of Application Programming Interfaces (APIs) for different data mining algorithms, and the application of these algorithms to different databases.

  19. Disposal of fluidized bed combustion ash in an underground mine to control acid mine drainage and subsidence. Quarterly report, December 1, 1996--February 28, 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-31

    This project will evaluate the technical, economic and environmental feasibility of filling abandoned underground mine voids with alkaline, advanced coal combustion wastes (Fluidized Bed Combustion-FBC ash). Success will be measured in terms of technical feasibility of the approach (i.e. % void filling), cost, environmental benefits (acid mine drainage and subsidence control) and environmental impacts (noxious ion release). During Phase 3 the majority of the activity involves completing two full scale demonstration projects. The eleven acre Longridge mine in Preston County will be filled with 53,000 cubic yards of grout during the summer of 1997 and monitored for the following year. The second demonstration involves stowing 2,000 tons of ash into an abandoned mine to demonstrate the newly redesigned Burnett Ejector. This demonstration is anticipated to take place during Summer 1997, as well. This document will report on progress made during Phase 3. The report will be divided into four major sections. The first will be the Hydraulic Injection component. This section of the report will report on progress and milestones associated with the grouting activities of the project. The Phase 3 tasks of Economic Analysis and Regulatory Analysis is covered under this section. The second component is Pneumatic Injection. This section reports on progress made towards completing the demonstration project. The Water Quality component involves background monitoring of water quality and precipitation at the Phase 3 (Longridge) mine site. The last component involves evaluating the migration of contaminants through the grouted mine. A computer model has been developed in earlier phases and will model the flow of water in and around the grouted Longridge mine. The Gantt Chart on the following page details progress by task.

  20. Disposal of fluidized bed combustion ash in an underground mine to control acid mine drainage and subsidence. Quarterly report, December 1, 1996--February 28, 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-31

    This project will evaluate the technical, economic and environmental feasibility of filling abandoned underground mine voids with alkaline, advanced coal combustion wastes (Fluidized Bed Combustion -- FBC ash). Success will be measured in terms of technical feasibility of the approach (i.e. % void filling), cost, environmental benefits (acid mine drainage and subsidence control) and environmental impacts (noxious ion release). During Phase 3 the majority of the activity involves completing two full scale demonstration projects. The eleven acre Longridge mine in Preston County will be filled with 53,000 cubic yards of grout during the summer of 1997 and monitored for the following year. The second demonstration involves stowing 2,000 tons of ash into an abandoned mine to demonstrate the newly redesigned Burnett Ejector. This demonstration is anticipated to take place during Summer 1997, as well. This document will report on progress made during Phase 3. The report will be divided into four major sections. The first will be the Hydraulic Injection component. This section of the report will report on progress and milestones associated with the grouting activities of the project. The Phase 3 tasks of Economic Analysis and Regulatory Analysis will be covered under this section. The second component is Pneumatic Injection. This section reports on progress made towards completing the demonstration project. The Water Quality component involves background monitoring of water quality and precipitation at the Phase 3 (Longridge) mine site. The last component involves evaluating the migration of contaminants through the grouted mine. A computer model has been developed in earlier phases and will model the flow of water in and around the grouted Longridge mine.

  1. Equivalent materials simulation experimental study on bed separations developing and mining subsidence in constant humidity and constant temperature conditions

    Institute of Scientific and Technical Information of China (English)

    FU Zhi-liang; WANG Su-hua; GAO Yan-fa

    2008-01-01

    A new experiment was made on the developing of bed separations and mining subsidence from Tangshan T2192 working face by equivalent materials simulation.The overburden deformation and the developing of bed separations with working face advancing was simulated by a new model.The results show that the maximum value of bed separations moved forward gradually along with the working face advancing; the maximum value of bed separations is 0.31~0.50 times of mining thickness.The key strata have a great influence upon surface subsidence during the overburden movement process.The mechanics parameters of new experiment are fitted with results in fields perfectly.

  2. SegMine workflows for semantic microarray data analysis in Orange4WS

    Directory of Open Access Journals (Sweden)

    Kulovesi Kimmo

    2011-10-01

    Full Text Available Abstract Background In experimental data analysis, bioinformatics researchers increasingly rely on tools that enable the composition and reuse of scientific workflows. The utility of current bioinformatics workflow environments can be significantly increased by offering advanced data mining services as workflow components. Such services can support, for instance, knowledge discovery from diverse distributed data and knowledge sources (such as GO, KEGG, PubMed, and experimental databases. Specifically, cutting-edge data analysis approaches, such as semantic data mining, link discovery, and visualization, have not yet been made available to researchers investigating complex biological datasets. Results We present a new methodology, SegMine, for semantic analysis of microarray data by exploiting general biological knowledge, and a new workflow environment, Orange4WS, with integrated support for web services in which the SegMine methodology is implemented. The SegMine methodology consists of two main steps. First, the semantic subgroup discovery algorithm is used to construct elaborate rules that identify enriched gene sets. Then, a link discovery service is used for the creation and visualization of new biological hypotheses. The utility of SegMine, implemented as a set of workflows in Orange4WS, is demonstrated in two microarray data analysis applications. In the analysis of senescence in human stem cells, the use of SegMine resulted in three novel research hypotheses that could improve understanding of the underlying mechanisms of senescence and identification of candidate marker genes. Conclusions Compared to the available data analysis systems, SegMine offers improved hypothesis generation and data interpretation for bioinformatics in an easy-to-use integrated workflow environment.

  3. Development of a novel low frequency GPR system for ultra-deep detection in Mine

    Science.gov (United States)

    Xu, Xianlei; Peng, Suping; Yang, Feng

    2016-04-01

    Mine disasters sources is the main source of the underground coal mine accidents in China. This paper describes the development of a novel explosion proof ground penetrating radar (GPR) for mine disasters sources detection, aiming to solve the current problems of the small detection range and low precision in the mine advanced detection in China. A high performance unipolar pulse transmitting unit is developed by using avalanche transistors, and an effective pulse excitation source network. And a new pluggable combined low-frequency antenna involving three frequencies with 12.5MHz, 25 MHz and 50MHz, is designed and developed. The plate-type structure is designed, aiming to enhance the directivity of the antenna, and the achievement of the antenna impedance matching is implemented in the feed point based on the extensions interface design, enhancing the antenna bandwidth and reducing the standing wave interference. Moreover, a high precision stepper delay circuit is designed by transforming the number of the operational amplifier step and using the differential compensation between the metal-oxide semiconductor field effect transistors, aiming to improve the accuracy of the signal acquisition system. In order to adapt to the mine environment, the explosion-proof design is implemented for the GPR system, including the host, transmitter, receiver, battery box, antenna, and other components.Mine detection experiments is carried out and the results show: the novel GPR system can effectively detect the location and depth of the geological disasters source with the depth greater than30 m and the diameter greater than 3m, the maximum detection depth can be up to 80m, which break the current detection depth limitations within 30m, providing an effective technical support for the ultra-deep mine disasters detection and the safety problems in coal mine production.

  4. Advancing Leadership

    Directory of Open Access Journals (Sweden)

    Penny L. Tenuto

    2014-04-01

    Full Text Available Preparing students to become active citizens and contributors to a democratic society is premised on teaching democratic principles and modeling standards of democratic practice at all levels of education. The purpose of this integrative literature review is to establish a conceptual framework grounded in literature and a model for cultivating democratic professional practice in education (DPPE to advance leadership for school improvement. This work is presented in three parts: (a a review of historical references, reports, and legislation that culminated in increased accountability and standards in P-12 public education; (b a discussion of social patterns in education generally associated with bureaucracy versus democracy; and (c a new contribution to the literature, a model for cultivating DPPE is conceptualized to encourage leading and teaching professionals to reflect on beliefs and evaluate practices in advancing leadership for school improvement. Recommendations are included for further research.

  5. Advanced Virgo

    CERN Multimedia

    Virgo, a first-generation interferometric gravitational wave (GW) detector, located in the European Gravitational Observatory, EGO, Cascina (Pisa-Italy) and constructed by the collaboration of French and Italian institutes (CNRS and INFN) has successfully completed its long-duration data taking runs. It is now undergoing a fundamental upgrade that exploits available cutting edges technology to open an exciting new window on the universe, with the first detection of a gravitational wave signal. Advanced Virgo (AdV) is the project to upgrade the Virgo detector to a second-generation instrument. AdV will be able to scan a volume of the Universe 1000 times larger than initial Virgo. AdV will be hosted in the same infrastructures as Virgo. The Advanced VIRGO project is funded and at present carried on by a larger collaboration of institutes belonging to CNRS- France , RMKI - Hungary, INFN- Italy, Nikhef - The Netherlands Polish Academy of Science - Poland.

  6. Advanced LIGO

    OpenAIRE

    Aasi, J.; Abbott, B.; Abbott, R.; Abbott, T.; Abernathy, M; Ackley, K.; Adams, C.; Adams, T.; Addesso, P; Adhikari, R.; Adya, V.; Affeldt, C.; Aggarwal, N.; Aguiar, O.; Ain, A.

    2014-01-01

    The Advanced LIGO gravitational wave detectors are second-generation instruments designed and built for the two LIGO observatories in Hanford, WA and Livingston, LA, USA. The two instruments are identical in design, and are specialized versions of a Michelson interferometer with 4 km long arms. As in Initial LIGO, Fabry–Perot cavities are used in the arms to increase the interaction time with a gravitational wave, and power recycling is used to increase the effective laser power. Signal recyc...

  7. Advanced Combustion

    Energy Technology Data Exchange (ETDEWEB)

    Holcomb, Gordon R. [NETL

    2013-03-11

    The activity reported in this presentation is to provide the mechanical and physical property information needed to allow rational design, development and/or choice of alloys, manufacturing approaches, and environmental exposure and component life models to enable oxy-fuel combustion boilers to operate at Ultra-Supercritical (up to 650{degrees}C & between 22-30 MPa) and/or Advanced Ultra-Supercritical conditions (760{degrees}C & 35 MPa).

  8. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY

    Energy Technology Data Exchange (ETDEWEB)

    Zvi H. Meiksin

    2004-03-01

    A comprehensive mine-wide, two-way wireless voice and data communication system for the underground mining industry was developed. The system achieves energy savings through increased productivity and greater energy efficiency in meeting safety requirements within mines. The mine-wide system is comprised of two interfaced subsystems: a through-the-earth communications system and an in-mine communications system. The mine-wide system permits two-way communication among underground personnel and between underground and surface personnel. The system was designed, built, and commercialized. Several systems are in operation in underground mines in the United States. The use of these systems has proven they result in considerable energy savings. A system for tracking the location of vehicles and people within the mine was also developed, built and tested successfully. Transtek's systems are being used by the National Institute of Occupational Safety and Health (NIOSH) in their underground mine rescue team training program. This project also resulted in a spin-off rescue team lifeline and communications system. Furthermore, the project points the way to further developments that can lead to a GPS-like system for underground mines allowing the use of autonomous machines in underground mining operations, greatly reducing the amount of energy used in these operations. Some products developed under this program are transferable to applications in fields other than mining. The rescue team system is applicable to use by first responders to natural, accidental, or terrorist-caused building collapses. The in-mine communications system can be installed in high-rise buildings providing in-building communications to security and maintenance personnel as well as to first responders.

  9. ON MINING ENTREPRENEURSHIP IN BANOVINA REGION (CROATIA

    Directory of Open Access Journals (Sweden)

    Berislav Šebečić

    2000-12-01

    Full Text Available Mining activities in exploitation of iron, copper, and lead (-silver ores in Trgovska gora Mountain had been developed back in Illyrian and Roman times as well as in the Middle Ages and recent times whereas in Petrova gora Mountain exploitation of iron oreš and coal developed as late as in 19 and 20 centuries. In the Middle Ages and more recent times, Croatian nobility (counts of Zrinski and Keglević and later on also the foreign nobility or foreign and domestic mining associations were given mining concessions.The mining enterprise in the Banovina Region passed to different owners and managers from mid —19 century to mid — 20 century. During the Austro-Hungarian rule the main mining concession was owned by »Gewerkschaft der Eisenbergwerke und Huttenwerke Petrova gora zu Topusko« or its shorter version »Petrova gora Gewerkschaft«. The major mining entrepreneurs on the Trgovska gora Mountain at Bešlinac were Desire Gilain, Joseph Steinauer and Alois Frohm. After the World War I and confiscation of properties of foreign mining associations and entrepreneurs, there were constituted and bankrupted rather quickly the Petrova gora Association of Mines and Foundry at Topusko, the Slavenska Bank Zagreb (until 1923, as well as the Iron Mine and Foundry Inc. at Topusko. After the bancruptey of National Industrial Enterprise Zagreb (1929, the Mining Association and (Iron Foundry was founded at Bešlinac (1934. In the region of Banovina there were operating also: the Kupa-Glina Mining Association (active also during the Austro-Hungarian rule, Mineral Mining Association from Topusko, as vvell as the Iron Mine and Foundry Topusko-Vojnić Headquarters. All the mentioned associations and entrepreneurs were confiscated by the Federal People's Republic of Yugoslavia in 1946.

  10. Data mining concepts and techniques

    CERN Document Server

    Han, Jiawei

    2005-01-01

    Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and app...

  11. Analyzing and mining image databases.

    Science.gov (United States)

    Berlage, Thomas

    2005-06-01

    Image mining is the application of computer-based techniques that extract and exploit information from large image sets to support human users in generating knowledge from these sources. This review focuses on biomedical applications, in particular automated imaging at the cellular level. An image database is an interactive software application that combines data management, image analysis and visual data mining. The main characteristic of such a system is a layer that represents objects within an image, and that represents a large spectrum of quantitative and semantic object features. The image analysis needs to be adapted to each particular experiment, so 'end-user programming' will be desirable to make the technology more widely applicable.

  12. The Aspergillus Mine - publishing bioinformatics

    DEFF Research Database (Denmark)

    Vesth, Tammi Camilla; Rasmussen, Jane Lind Nybo; Theobald, Sebastian

    so with no computational specialist. Here we present a setup for analysis and publication of genome data of 70 species of Aspergillus fungi. The platform is based on R, Python and uses the RShiny framework to create interactive web‐applications. It allows all participants to create interactive...... analysis which can be shared with the team and in connection with publications. We present analysis for investigation of genetic diversity, secondary and primary metabolism and general data overview. The platform, the Aspergillus Mine, is a collection of analysis tools based on data from collaboration...... with the Joint Genome Institute. The Aspergillus Mine is not intended as a genomic data sharing service but instead focuses on creating an environment where the results of bioinformatic analysis is made available for inspection. The data and code is public upon request and figures can be obtained directly from...

  13. Fibre Optics In Coal Mining

    Science.gov (United States)

    Cooper, Paul

    1984-08-01

    Coal mines have a number of unique problems which affect the use of fibre optic technology. These include a potentially explosive atmosphere due to the evolution of methane from coal, and a dirty environment with no cleaning facilities readily available. Equipment being developed by MRDE to allow the exploitation of optical fibres underground includes: A hybrid electrical/fibre optic connector for the flexible power trailing cable of the coal-face shearer; An Intrinsically Safe (IS) pulsed laser transmitter using Frequency Shift Key (FSK) data modulation; An IS Avalanche Photo Diode Receiver suitable for pulsed & continuous wave optical signals; A mine shaft and roadway cable/ connector system incorporating low loss butt-splices and preterminated demountable connectors.

  14. Data mining for scientific publications

    Directory of Open Access Journals (Sweden)

    Mihai VLASE

    2006-12-01

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

  15. Terminology mining in social media

    OpenAIRE

    Sahlgren, Magnus; Karlgren, Jussi

    2009-01-01

    The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other user-generated non-editorial texts. This paper discusses and exemplifies a terminology mining approach for dealing with the productive character of the textual environment in social media. We explore the challenges of practically acquiring new terminology, and of modeling similarity and relatedness of terms from observ...

  16. Mining developer communication data streams

    OpenAIRE

    Connor, Andy M.; Jacqui Finlay; Russel Pears

    2014-01-01

    This paper explores the concepts of modelling a sof tware development project as a process that results in the creation of a continuous stream of d ata. In terms of the Jazz repository used in this research, one aspect of that stream of data would b e developer communication. Such data can be used to create an evolving social network charac terized by a range of metrics. This paper presents the application of data stream mining tech ni...

  17. Process mining using convex polytopes

    OpenAIRE

    Alemany Puig, Lluís

    2017-01-01

    Process Mining is a relatively young field of study that highlights the difficulty to infer models of processes from which to extract enough information to make predictions about its behaviour, find bottlenecks and causality relationships so as to be able to answer as many questions as one can make about them. In this context, a process may be understood as any activity performed by humans or computers or the result between the interaction of the two. Research on this topic has...

  18. UK coal mining engineering capability

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2004-03-01

    The document outlines the current position of underground coal mining in the UK and identifies the key suppliers of equipment and services, in the following sections: longwall face machinery; roadway drivage; seismic exploration; ventilation; methane drainage; underground transport; electrical and control systems; underground safety; research and development; consultancy services; coal associations. A directory of 43 companies organizations and academic institutions is included. 13 figs., 1 tab.

  19. Mining Big Data to Predicting Future

    Directory of Open Access Journals (Sweden)

    Amit K. Tyagi

    2015-03-01

    Full Text Available 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 possibilities of these large data sets, are necessary to forecast the future. Today’s we have an overwhelming growth of data in terms of volume, velocity and variety on web. Moreover this, from a security and privacy views, both area have an unpredictable growth. So Big Data challenge is becoming one of the most exciting opportunities for researchers in upcoming years. Hence this paper discuss about this topic in a broad overview like; its current status; controversy; and challenges to forecast the future. This paper defines at some of these problems, using illustrations with applications from various areas. Finally this paper discuss secure management and privacy of big data as one of essential issues.

  20. Protein interaction networks from literature mining

    Science.gov (United States)

    Ihara, Sigeo

    2005-03-01

    The ability to accurately predict and understand physiological changes in the biological network system in response to disease or drug therapeutics is of crucial importance in life science. The extensive amount of gene expression data generated from even a single microarray experiment often proves difficult to fully interpret and comprehend the biological significance. An increasing knowledge of protein interactions stored in the PubMed database, as well as the advancement of natural language processing, however, makes it possible to construct protein interaction networks from the gene expression information that are essential for understanding the biological meaning. From the in house literature mining system we have developed, the protein interaction network for humans was constructed. By analysis based on the graph-theoretical characterization of the total interaction network in literature, we found that the network is scale-free and semantic long-ranged interactions (i.e. inhibit, induce) between proteins dominate in the total interaction network, reducing the degree exponent. Interaction networks generated based on scientific text in which the interaction event is ambiguously described result in disconnected networks. In contrast interaction networks based on text in which the interaction events are clearly stated result in strongly connected networks. The results of protein-protein interaction networks obtained in real applications from microarray experiments are discussed: For example, comparisons of the gene expression data indicative of either a good or a poor prognosis for acute lymphoblastic leukemia with MLL rearrangements, using our system, showed newly discovered signaling cross-talk.

  1. CSIR: Mining Technology annual review 1996/97

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-31

    CSIR: Mining Technology works in close collaboration and strategic partnership with the mining industry, government institutions and employee organizations by acquiring, developing and transferring technologies to improve the safety and health of their employees, and to improve the profitability of the mining industry. The annual report describes achievements over the year in the areas of: rock engineering (including rockburst control, mine layout, stope and gully support, coal mining); environmental safety and health on topics such as occupational hygiene services, methane explosions, blasting techniques; and mining systems (orebody information, hydraulic transport mine mechanization, engineering design and automation, mine services). A list of Mining Technology`s 1996/97 publications is given.

  2. Portable humanitarian mine detector overview

    Science.gov (United States)

    Allsopp, David J.; Dibsdall, Ian M.

    2002-08-01

    This paper will present an overview and early results of the QinetiQ Portable Humanitarian Mine Detector project, funded by the UK Treasury Capital Modernization Fund. The project aims to develop a prototype multi-sensor man-portable detector for humanitarian demining, drawing on experience from work for UK MoD. The project runs from July 2000 to October 2002. The project team have visited mined areas and worked closely with a number of demining organizations and a manufacturer of metal detectors used in the field. The primary objective is to reduce the number of false alarms resulting from metallic ground clutter. An analysis of such clutter items found during actual demining has shown a large proportion to be very small when compared with anti-personnel mines. The planned system integrates: a lightweight multi-element pseudo-random-code ground penetrating radar array; a pulse induction metal detector and a capacitive sensor. Data from the GPR array and metal detector are fused to provide a simple audio-visual operator interface. The capacitive sensor provides information to aid processing of the radar responses and to provide feedback to the operator of the position of the sensors above the ground. At the time of presentation the project should be in the final stages of build, prior to tests and field trials, which QinetiQ hope to carry out under the International Test and Evaluation Project (ITEP) banner.

  3. Uranium mining operations in Spain

    Energy Technology Data Exchange (ETDEWEB)

    Rios, J.-M.; Arnaiz, J.; Criado, M.; Lopez, A.

    1995-12-31

    The Empresa Nacional del Uranio, SA (ENUSA) was founded in 1972 to undertake and develop the industrial and procurement activities of the nuclear fuel cycle in Spain. Within the organisation of ENUSA, the Uranium Division is directly responsible for the uranium mining and production operations that have been carried out since 1973 in the area of Ciudad Rodrigo in the province of Salamanca. These activities are based on open pit mining, heap leaching and a hydrometallurgical plant (Elefante) for extracting uranium concentrates from the ore. This plant was shut down in 1993 and a new plant was started up on the same site (Quercus) with a dynamic leaching process. The nominal capacity of the new plant is 950 t U{sub 3}O{sub 8} per year. Because of the historically low uranium prices which have recently prevailed, the plant is currently running at a strategic production rate of 300 t U{sub 3}O{sub 8} per year. From 1981 to 1990, in the area of La Haba (Badajoz province), ENUSA also operated a uranium production site, based on open pit mining, and an experimental extraction plant (Lobo-G). ENUSA is currently decommissioning these installations. This paper describes innovations and improvements that ENUSA has recently introduced in the field of uranium concentrates production with a view to cutting production costs, and to improving the decommissioning and site restoration processes in those sites where production is being shut down or resources have been worked out. (author).

  4. NOVEL EXCAVATION TECHNOLOGIES FOR EFFICIENT AND ECONOMIC SURFACE MINING

    Energy Technology Data Exchange (ETDEWEB)

    Vladislav Kecojevic; Samuel Frimpong

    2005-05-01

    Ground excavation constitutes a significant component of production costs in any surface mining operation. The excavation process entails material digging and removal in which the equipment motion is constrained by the workspace geometry. A major excavation problem is the variability of material properties, resulting in varying mechanical energy input and stress loading of shovel dipper-and-tooth assembly across the working bench. This variability has a huge impact on the shovel dipper and tooth assembly in hard formations. With this in mind, the primary objectives of the project were to (i) provide the theoretical basis to develop the Intelligent Shovel Excavation (ISE) technology to solve the problems associated with excavation in material formations; (ii) advance knowledge and frontiers in shovel excavation through intelligent navigation; and (iii) submit proposal for the design, development and implementation of the ISE technology for shovel excavation at experimental surface mining sites. The mathematical methods were used to (i) develop shovel's kinematics and dynamics, and (ii) establish the relationship between shovel parameters and the resistive forces from the material formation during excavation process. The ADAMS simulation environment was used to develop the hydraulic and cable shovel virtual prototypes. Two numerical examples are included to test the theoretical hypotheses and the obtained results are discussed. The area of sensor technology was studied. Application of specific wrist-mounted sensors to characterize the material, bucket and frame assembly was determined. Data acquisition, display and control system for shovel loading technology was adopted. The concept of data acquisition and control system was designed and a shovel boom stresses were simulated. A multi-partner collaboration between research organizations, shovel manufacturer, hardware and sensor technology companies, and surface mining companies is proposed to test design

  5. 30 CFR 77.1500 - Auger mining; planning.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Auger mining; planning. 77.1500 Section 77.1500 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH... § 77.1500 Auger mining; planning. Auger mining shall be planned and conducted by the operator to...

  6. 30 CFR 49.40 - Requirements for large coal mines.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Requirements for large coal mines. 49.40 Section 49.40 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.40 Requirements for large...

  7. 30 CFR 49.30 - Requirements for small coal mines.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Requirements for small coal mines. 49.30 Section 49.30 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.30 Requirements for small...

  8. 多媒体开采初探%Multimedia Mining

    Institute of Scientific and Technical Information of China (English)

    陈剑赟; 老松扬; 吴玲达

    2003-01-01

    This paper is a primary study of multimedia mining. It first explains the basic concepts of multimedia min-ing and classifies multimedia mining. Then it outlines two kinds of frameworks of multimedia mining function-drivenone and information-driven one. At last it introduces the process and methods of multimedia mining.

  9. Science and Technology Text Mining: Management Decision Aids

    Science.gov (United States)

    2007-11-02

    review; data mining; text mining; bibliometrics ; scientometrics; resource allocation; project selection; operations research; management science. REPORT...review; data mining; text mining; bibliometrics ; scientometrics; resource allocation; project selection; operations research; management science. 16...support techniques include roadmaps, metrics, peer review, data and text mining, information retrieval, bibliometrics , and retrospective studies. The

  10. Demo: Using RapidMiner for Text Mining

    OpenAIRE

    2013-01-01

    In this demo the basic text mining technologies by using RapidMining have been reviewed. RapidMining basic characteristics and operators of text mining have been described. Text mining example by using Navie Bayes algorithm and process modeling have been revealed.

  11. East China Non-ferrous Metal Geological & Mining Bureau obtaining mining rights in Indonesia

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>In December 2007,Jiangsu East China Non- ferrous Metal Geological & Mining Bureau has reached an agreement for cooperation with In- donesia Mining Company for the joint exploita- tion of mineral resources for 960 km2 areas in

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

    Data.gov (United States)

    U.S. Environmental Protection Agency — This GIS dataset contains polygon features that represent mine areas included in the Navajo Environmental Response Trust. This mine category also includes Priority...

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

    Data.gov (United States)

    U.S. Environmental Protection Agency — This GIS dataset contains polygon features that represent mines with Tronox enforcement actions as of March 2016 that are also classified as priority mines. USEPA...

  14. Injury experience in metallic mineral mining, 1991

    Energy Technology Data Exchange (ETDEWEB)

    1993-10-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of metallic mineral mining in the United States for 1991. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  15. Injury experience in metallic mineral mining, 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

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

  16. Monitoring genotoxic exposure in uranium mines

    Energy Technology Data Exchange (ETDEWEB)

    Sram, R.J.; Vesela, D.; Vesely, D. [Institute of Experimental Medicine, Prague (Czech Republic)] [and others

    1993-10-01

    Recent data from deep uranium mines in Czechoslovakia indicated that miners 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 B{sub 1} and G1, citrinin, citreoviridin, mycophenolic acid, and sterigmatocystin. Some mold strains isolated from mines and throat swabs were investigated for mutagenic activity by the SOS chromotest and Salmonella assay with strains TA100 and TA98. Mutagenicity was observed, especially with metabolic activation in citro. These data suggest that mycotoxins produced by molds in uranium mines are a new genotoxic factor im uranium miners. 17 refs., 4 tabs.

  17. Exploratory analysis of Spanish energetic mining accidents.

    Science.gov (United States)

    Sanmiquel, Lluís; Freijo, Modesto; Rossell, Josep M

    2012-01-01

    Using data on work accidents and annual mining statistics, the paper studies work-related accidents in the Spanish energetic mining sector in 1999-2008. The following 3 parameters are considered: age, experience and size of the mine (in number of workers) where the accident took place. The main objective of this paper is to show the relationship between different accident indicators: risk index (as an expression of the incidence), average duration index for the age and size of the mine variables (as a measure of the seriousness of an accident), and the gravity index for the various sizes of mines (which measures the seriousness of an accident, too). The conclusions of this study could be useful to develop suitable prevention policies that would contribute towards a decrease in work-related accidents in the Spanish energetic mining industry.

  18. Semantic Web Mining: Benefits, Challenges and Opportunities

    Directory of Open Access Journals (Sweden)

    Syeda Farha Shazmeen, Etyala Ramyasree

    2012-12-01

    Full Text Available 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 World Wide Web by machine process able information which supports the user in his tasks, and also helps the users to get the exact search result .In this paper; we discuss the interplay of the Semantic Web with Web Mining, list out the benefits. Challenges, opportunities of the Semantic web are discussed.

  19. Xinjiang to Build Its Largest Copper Mine

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    <正>On September 16, the 6,000,000-ton mining project of Hudehe Copper Mine kicked off, which is the largest copper mine in Xinjiang.Jointly developed by Xinjiang Nonferrous Metals Group and Gansu Jianxin Group, Hudehe Copper Mine is located at Tuoli County, Tacheng Prefecture, Xinjiang. It is a large-scale porphyry-type copper deposit with proven copper reserve of 362,500 tons and prospective reserve of 1,000,000 tons(metal content). According to the preliminary plan, it will be built into a mine with mining and dressing capacity of 6,000,000 tons/year. With a total investment of RMB 1.466 billion, the project is expected to achieve annual sales revenue of RMB 0.8 billion and provide jobs for nearly 1,000 people.

  20. Injury experience in coal mining, 1990

    Energy Technology Data Exchange (ETDEWEB)

    None

    1991-01-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1990. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.