WorldWideScience

Sample records for beaverlodge mine

  1. 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.

  2. 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.

  3. 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…

  4. 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.

  5. 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...

  6. 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...

  7. 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.

  8. 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

  9. 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.

  10. 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.

  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. 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.

  13. 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.

  14. 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...

  15. 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.

  16. Coal Mines, Abandoned - Digitized Mined Areas

    Data.gov (United States)

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

  17. Wikipedia Mining

    Science.gov (United States)

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

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

  18. 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

  19. 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.

  20. 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.

  1. 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.

  2. 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...

  3. 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...

  4. 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....

  5. 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.

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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...

  17. 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 ...

  18. 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.

  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. 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...

  1. Ensemble Data Mining Methods

    Data.gov (United States)

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

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  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. Web Mining: An Overview

    Directory of Open Access Journals (Sweden)

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

    2011-12-01

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

  8. 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...

  9. 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.

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

    Institute of Scientific and Technical Information of China (English)

    DENG Jian; BIAN Li

    2007-01-01

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

  11. 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.

  12. 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.

  13. 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].

  14. 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.

  15. 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...

  16. 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.

  17. 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...

  18. 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.

  19. 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.

  20. 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

  1. 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.

  2. Data mining for dummies

    CERN Document Server

    Brown, Meta S

    2014-01-01

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

  3. 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...

  4. 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.)

  5. 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

  6. 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.

  7. 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…

  8. 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.

  9. 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.

  10. 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

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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...

  17. 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...

  18. 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.

  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. 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....

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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.

  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. 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.

  15. 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.

  16. 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.

  17. 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…

  18. 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…

  19. 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.

  20. 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.

  1. 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.

  2. 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...

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. 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)

  8. 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.

  9. [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.

  10. 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).

  11. 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.

  12. 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.

  13. 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…

  14. 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...

  15. 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.

  16. 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...

  17. 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)

  18. 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...

  19. 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.

  20. 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…

  1. 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...

  2. 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.

  3. 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)

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

  9. 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.

  10. 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...

  11. 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 .

  12. 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

  13. 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.

  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 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.

  15. 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.)

  16. 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...

  17. 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.

  18. 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...

  19. 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....

  20. 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....

  1. 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...

  2. 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...

  3. 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...

  4. 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).

  5. 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

  6. 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....

  7. 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,...

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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

  14. 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.

  15. 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...

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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

  4. 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

  5. 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.

  6. 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.

  7. 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.

  8. 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).

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  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. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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 ...

  1. 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.

  2. 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...

  3. 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...

  4. 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…

  5. 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...

  6. 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...

  7. 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),...

  8. 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...

  9. 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)

  10. 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...

  11. 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...

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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...

  17. 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.

  18. 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.

  19. 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.

  20. 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

  1. 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.

  2. 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…

  3. 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...

  4. 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.

  5. Association Rule Mining from an Intelligent Tutor

    Science.gov (United States)

    Dogan, Buket; Camurcu, A. Yilmaz

    2008-01-01

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

  6. 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.

  7. 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.

  8. 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...

  9. 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.

  10. 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

  11. 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...

  12. 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.

  13. 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

  14. 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.

  15. Mining in the European Arctic

    NARCIS (Netherlands)

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

    2014-01-01

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

  16. Mining and Indexing Graph Databases

    Science.gov (United States)

    Yuan, Dayu

    2013-01-01

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

  17. Investigating MOOCs through Blog Mining

    Science.gov (United States)

    Chen, Yong

    2014-01-01

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

  18. 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)

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. 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.

  8. 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...

  9. 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.

  10. 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...

  11. 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.

  12. 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.

  13. "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.

  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. 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.

  16. 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.

  17. 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.

  18. 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...

  19. 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.

  20. 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...

  1. 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.

  2. 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.

  3. 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...

  4. 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...

  5. 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...

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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).

  11. 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...

  12. 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...

  13. 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...

  14. 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.

  15. 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

  16. 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.

  17. 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

  18. 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.

  19. 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...

  20. 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...

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Mine Drainage Generation and Control Options.

    Science.gov (United States)

    Wei, Xinchao; Rodak, Carolyn M; Zhang, Shicheng; Han, Yuexin; Wolfe, F Andrew

    2016-10-01

    This review provides a snapshot of papers published in 2015 relevant to the topic of mine drainage generation and control options. The review is broken into 3 sections: Generation, Prediction and Prevention, and Treatment Options. The first section, mine drainage generation, focuses on the characterization of mine drainage and the environmental impacts. As such, it is broken into three subsections focused on microbiological characterization, physiochemical characterization, and environmental impacts. The second section of the review is divided into two subsections focused on either the prediction or prevention of acid mine drainage. The final section focuses on treatment options for mine drainage and waste sludge. The third section contains subsections on passive treatment, biological treatment, physiochemical treatment, and a new subsection on beneficial uses for mine drainage and treatment wastes.

  9. Injury experience in coal mining, 1992

    Energy Technology Data Exchange (ETDEWEB)

    Reich, R.B.; Hugler, E.C.

    1994-05-01

    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 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 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.

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

  11. Fast Vertical Mining Using Boolean Algebra

    Directory of Open Access Journals (Sweden)

    Hosny M. Ibrahim

    2015-01-01

    Full Text Available The vertical association rules mining algorithm is an efficient mining method, which makes use of support sets of frequent itemsets to calculate the support of candidate itemsets. It overcomes the disadvantage of scanning database many times like Apriori algorithm. In vertical mining, frequent itemsets can be represented as a set of bit vectors in memory, which enables for fast computation. The sizes of bit vectors for itemsets are the main space expense of the algorithm that restricts its expansibility. Therefore, in this paper, a proposed algorithm that compresses the bit vectors of frequent itemsets will be presented. The new bit vector schema presented here depends on Boolean algebra rules to compute the intersection of two compressed bit vectors without making any costly decompression operation. The experimental results show that the proposed algorithm, Vertical Boolean Mining (VBM algorithm is better than both Apriori algorithm and the classical vertical association rule mining algorithm in the mining time and the memory usage.

  12. Proximity to mining industry and cancer mortality.

    Science.gov (United States)

    Fernández-Navarro, Pablo; García-Pérez, Javier; Ramis, Rebeca; Boldo, Elena; López-Abente, Gonzalo

    2012-10-01

    Mining installations are releasing toxic substances into the environment which could pose a health problem to populations in their vicinity. We sought to investigate whether there might be excess cancer-related mortality in populations residing in towns lying in the vicinity of Spanish mining industries governed by the Integrated Pollution Prevention and Control Directive, and the European Pollutant Release and Transfer Register Regulation, according to the type of extraction method used. An ecologic study was designed to examine municipal mortality due to 32 types of cancer, across the period 1997 through 2006. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. Poisson regression models, using the Bayesian conditional autoregressive model proposed by Besag, York and Molliè and Integrated Nested Laplace Approximations for Bayesian inference, were used: to analyze risk of dying from cancer in a 5-kilometer zone around mining installations; effect of type of industrial activity; and to conduct individual analyses within a 50-kilometer radius of each installation. Excess mortality (relative risk, 95% credible interval) of colorectal cancer (1.097, 1.041-1.157), lung cancer (1.066, 1.009-1.126) specifically related with proximity to opencast coal mining, bladder cancer (1.106, 1.016-1.203) and leukemia (1.093, 1.003-1.191) related with other opencast mining installations, was detected among the overall population in the vicinity of mining installations. Other tumors also associated in the stratified analysis by type of mine, were: thyroid, gallbladder and liver cancers (underground coal installations); brain cancer (opencast coal mining); stomach cancer (coal and other opencast mining installations); and myeloma (underground mining installations). The results suggested an association between risk of dying due to digestive, respiratory, hematologic and thyroid cancers and proximity to Spanish mining

  13. Mining Sequential Patterns In Multidimensional Data

    OpenAIRE

    Plantevit, Marc

    2008-01-01

    Sequential pattern mining is a key technique of data mining with broad applications (user behavior analysis, bioinformatic, security, music, etc.). Sequential pattern mining aims at discovering correlations among events through time. There exist many algorithms to discover such patterns. However, these approaches only take one dimension into account (e.g. product dimension in customer market basket problem analysis) whereas data are multidimensional in nature. In this thesis, we define multid...

  14. Relationships between mining and its environment

    Energy Technology Data Exchange (ETDEWEB)

    Faller, G.

    1990-01-01

    The types of mining damages and the methods to prevent them are summarized. The types of emission into the environment are listed and the traditional research fields of environmental protection due to mining operations are dealt with. The problem of how to develop the protection of environment to environmental economy is discussed. The interrelation between environmental damages caused by mining and the level of production is studied.

  15. Qualitative Data Mining and Its Applications

    OpenAIRE

    Bratko, Ivan; Šuc, Dorian

    2003-01-01

    In machine learning from numerical data, usually the target concept is a numerical function that facilitates quantitative prediction. In contrast to this, we consider qualitative data mining which aims at finding qualitative patterns, or qualitative relationships in numerical data. We present one approach to qualitative data mining, in which the target concepts are expressed as qualitative decision trees. We reviewsome case studies in qualitative data mining, and discuss typical application s...

  16. Mining their own Business in the Margins

    DEFF Research Database (Denmark)

    Jensen, Lars

    Mining has long been established in Australian public discourse as an activity that has driven the Australian economy, and guaranteed Australia against the economic ills of the rest of the West. Or put slightly differently, the positive spin on mining in public discourse and the financial market,...... of speaking about margins/marginalisation in relation to the mining industry, that is, as something conducted beyond the horizon, something which defines the horizon - and as a process through which remoteness defines the (national) self....

  17. A Study on Selective Data Mining Algorithms

    Directory of Open Access Journals (Sweden)

    A. N. Pathak

    2011-03-01

    Full Text Available Data mining is a field of database application that searches for unknown patterns in data that can be used to predict future behavior. Basically data mining is a technique not to change the presentation but to discover unknown relationships between the data. Data mining is termed as software, which is used to describe data in a new way, which is not true.

  18. Progress in LIBS for Land Mine Detection

    Science.gov (United States)

    2010-04-01

    a century ago. A handheld metal detector is used to identify a subsurface anomaly that may be a buried land mine. In humanitarian demining, meter...wide lanes are searched for anomalies by swinging a metal detector back and forth just above the ground surface. When the metal detector receives a...postoperational land mine clearance, although the new AN/PSS14 handheld mine detection system that combines a metal detector with a ground- penetrating

  19. DAMEWARE - Data Mining & Exploration Web Application Resource

    CERN Document Server

    Brescia, Massimo; Esposito, Francesco; Fiore, Michelangelo; Garofalo, Mauro; Guglielmo, Magda; Longo, Giuseppe; Manna, Francesco; Nocella, Alfonso; Vellucci, Civita

    2016-01-01

    Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. DAMEWARE (DAta Mining & Exploration Web Application and REsource) is a general purpose, Web-based, Virtual Observatory compliant, distributed data mining framework specialized in massive data sets exploration with machine learning methods. We present the DAMEWARE (DAta Mining & Exploration Web Application REsource) which allows the scientific community to perform data mining and exploratory experiments on massive data sets, by using a simple web browser. DAMEWARE offers several tools which can be seen as working environments where to choose data analysis functionalities such as clustering, classification, regression, feature extraction etc., together with models and algorithms.

  20. Injury experience in coal mining, 1991

    Energy Technology Data Exchange (ETDEWEB)

    1991-12-31

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1991. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report. Data used in compiling this report were reported by operators of coal mines and preparation plants on a mandatory basis as required under the Federal Mine Safety and Health Act of 1977, Public Law 91-173,as amended by Public Law 95-164. Since January 1, 1978, operators of mines or preparation plants or both which are subject to the Act have been required under 30 CFR, Part 50, to submit reports of injuries, occupational illnesses, and related data.

  1. Data Analysis and Data Mining An Introduction

    CERN Document Server

    Azzalini, Adelchi

    2012-01-01

    An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining.This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data. Aided by a diverse rang

  2. Outlier Mining Based on Principal Component Estimation

    Institute of Scientific and Technical Information of China (English)

    Hu Yang; Ting Yang

    2005-01-01

    Outlier mining is an important aspect in data mining and the outlier mining based on Cook distance is most commonly used. But we know that when the data have multicollinearity, the traditional Cook method is no longer effective. Considering the excellence of the principal component estimation, we use it to substitute the least squares estimation, and then give the Cook distance measurement based on principal component estimation, which can be used in outlier mining. At the same time, we have done some research on related theories and application problems.

  3. Evaluating Water Management Practice for Sustainable Mining

    Directory of Open Access Journals (Sweden)

    Xiangfeng Zhang

    2014-02-01

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

  4. Royston Drift: new mine - new techniques

    Energy Technology Data Exchange (ETDEWEB)

    Round, C.; Lewis, S.

    1981-07-01

    Royston Drift Mine is described and the techniques and philosophy that have contributed to Royston proving to be one of Britain's most productive mines are reviewed. The whole mining concept, including the cognizance taken of the geological restriction is discussed. Transport systems and the design and organization of the record-breaking retreat faces are dealt with in detail. The introduction and testing of the Caledonian Arch support system and its potential is then described. Finally the future of the mine, in relation to monitoring and content of both underground and surface operations, is outlined.

  5. Spatial Data Mining using Cluster Analysis

    Directory of Open Access Journals (Sweden)

    Ch.N.Santhosh Kumar

    2012-09-01

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

  6. Intelligent Scheduling for Underground Mobile Mining Equipment.

    Directory of Open Access Journals (Sweden)

    Zhen Song

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

  7. Educational Data Mining Model Using Rattle

    Directory of Open Access Journals (Sweden)

    Sadiq Hussain

    2014-07-01

    Full Text Available Data Mining is the extraction of knowledge from the large databases. Data Mining had affected all the fields from combating terror attacks to the human genome databases. For different data analysis, R programming has a key role to play. Rattle, an effective GUI for R Programming is used extensively for generating reports based on several current trends models like random forest, support vector machine etc. It is otherwise hard to compare which model to choose for the data that needs to be mined. This paper proposes a method using Rattle for selection of Educational Data Mining Model.

  8. Oil sands mining water use and management

    Energy Technology Data Exchange (ETDEWEB)

    Bender, M.; Long, D.; Fitch, M. [Golder Associates Ltd., Calgary, AB (Canada)

    2010-07-01

    There are currently 4 bitumen mining operations operating along the Athabasca River in northern Alberta. This paper presented details of the water licences, historical water use, present water use, and future plans for water management in relation to oil sands mining operations. The study was based on work currently conducted for the Oil Sands Developers Group (OSDG) and Canadian Association of Petroleum Producers (CAPP), as well as on mine site water balance analyses for proposed mines in the region. Typical mine site water balances were discussed, and water use rates for the mining operations were reviewed. The new Athabasca River water management framework may require that mines provide additional water storage or delayed reclamation of mine areas in order to offset water losses during winter low-flow periods. New regulations may also reduce the requirement for make-up water. The study also noted that release criteria are still being developed for on-site water within closed-loop mine operations. The oil sands industry will need to balance various factors related to water use in the future. 5 refs., 3 figs.

  9. Continuous respirable mine dust monitor development

    Energy Technology Data Exchange (ETDEWEB)

    Cantrell, B.K.; Williams, K.L.; Stein, S.W. [and others

    1996-12-31

    In June 1992, the Mine Safety and Health Administration (MSHA) published the Report of the Coal Mine Respirable Dust Task Group, Review of the Program to Control Respirable Coal Mine Dust in the United States. As one of its recommendations, the report called for the accelerated development of two mine dust monitors: (1) a fixed-site monitor capable of providing continuous information on dust levels to the miner, mine operator, and to MSHA, if necessary, and (2) a personal sampling device capable of providing both a short-term personal exposure measurement as well as a full-shift measurement. In response to this recommendation, the U.S. Bureau of Mines initiated the development of a fixed-site machine-mounted continuous respirable dust monitor. The technology chosen for monitor development is the Rupprecht and Patashnick Co., Inc. tapered element oscillating microbalance. Laboratory and in-mine tests have indicated that, with modification, this sensor can meet the humidity and vibration requirements for underground coal mine use. The U.S. Department of Energy Pittsburgh Research Center (DOE-PRC) is continuing that effort by developing prototypes of a continuous dust monitor based on this technology. These prototypes are being evaluated in underground coal mines as they become available. This effort, conducted as a joint venture with MSHA, is nearing completion with every promise of success.

  10. USING SYSTEM SIMULATION METHOD AND CADTECHNIQUE TO SOLVE THE MINING ENGINEERING RELIABILITY IN SURFACE MINES

    Institute of Scientific and Technical Information of China (English)

    才庆祥; 彭世济; 张达贤

    1996-01-01

    Subjected to various stochastic factors, surface mining engineering reliability is difficult to solve by using general reliability mathematical method. The concept of reliability measurement is introduced; And the authors have combined system simulation method with CAD technique and developed an interactive color character graphic design system for evaluating and solving the mining engineering reliability in surface mines under the given constraints.

  11. 75 FR 20918 - High-Voltage Continuous Mining Machine Standard for Underground Coal Mines

    Science.gov (United States)

    2010-04-22

    ... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF LABOR Mine Safety and Health Administration 30 CFR Parts 18 and 75 RIN 1219-AB34 High-Voltage Continuous Mining Machine Standard for Underground Coal Mines Correction In rule document 2010-7309 beginning on page...

  12. Rational layout approaches to seams mining within dip-working panels of deep mines

    Energy Technology Data Exchange (ETDEWEB)

    Martynov, A.A.; Lunev, S.G.; Yakovenko, A.K. [Territorial Administration of Gosnadzorokhrantruda, Donetsk (Ukraine)

    1999-07-01

    Normalising temperature distribution in deep workings is a problem in mines in the Donetsk Basin. Investigations and long-term experience of mine operations have shown that the thermal factor manifestation degree in the workings is determined, to a large extent, by mining operations technology and, first of all, by layout approaches. Rational layout approaches, according to thermal factors, are discussed. 6 refs.

  13. Study of "3-Step Mining" Subsidence Control in Coal Mining Under Buildings

    Institute of Scientific and Technical Information of China (English)

    GUO Guang-li; ZHA Jian-feng; WU Bin; JIA Xin-guo

    2007-01-01

    Mining subsidence damage is the main factor of restricting coal mining under buildings. To control or ease effectively the degree of mining subsidence and deformation is essential to resolve this problem. Through analyzing both advantages and disadvantages of some technologies such as mining with stowing, partial extraction and grouting in separated beds of overburden, we used the principle of load replacement and propose a "3-step mining" method, a new pattern of controlling mining subsidence, which consists of: strip mining, i.e. grouting to fill and consolidate the caving zone and retained strip pillar mining. The mechanism of controlling mining subsidence by using the "3-step mining" pattern is analyzed. The effect of the control is numerically simulated. The preliminary analysis shows that the "3-step mining" can effectively control ground subsidence and deformation. By using this method, the ground subsidence factor can be controlled to a value of about 0.25. Coal recovery can reach 80%-90%. Coal mining without removing surface buildings can be realized and the economic loss resulting from ground subsidence can be greatly reduced.

  14. 30 CFR 49.3 - Alternative mine rescue capability for small and remote mines.

    Science.gov (United States)

    2010-07-01

    ... mine; (2) Comments submitted by, or on behalf of, any affected miner; and (3) Whether the alternative... condition or factor materially affecting information submitted in the application for alternative mine... Nonmetal Mine Safety and Health, as appropriate, 1100 Wilson Blvd., Room 2424 (Coal) or Room 2436...

  15. Predictive modelling of the mine water rebound in an old abandoned Dongwon mine in Korea

    Science.gov (United States)

    Baek, Hwanjo; Kim, Daehoon; Park, Seunghwan; Kim, Gyoungman

    2014-05-01

    The closure of over three-hundred deep coal mines in Korea since the late-1980s, primarily due to the energy and environmental concerns, has produced significant side effects. One of the major challenges is to assess the risk from mine water rebound to overlying aquifers and surface waters, which can produce significant environmental hazards. Some numerical models such as VSS-NET, GRAM and MODFLOW have been developed to predict the quantity, timing and location of discharges resulting from mine water rebound. In this study, we developed a GRAM-based windows program for mine water rebound modelling in abandoned deep mine systems. The program consists of the simulation engine and the GUI modules, each has several subroutines. Changes in mine water level of the Dongwon coal mine, presumably hydrogeologically connected to nearby old abandoned mines, has been monitored after the mine was finally closed in 2005. The water level in the vertical shaft rised up to 420m during the period of 3 years. The system was modelled as two ponds connected by a pipe. Input data include the areas of each pond, catchment areas, the storage coefficient, etc. The predicted changes in the mine water level was very similar to the observed data in the field. For this modelling, in fact, some of the input variable were roughly assumed to match the field data. Nevertheless, this program can be effectively applied to predict the rising of the mine water after the mine closure.

  16. NV - Assessment of wildlife hazards associated with mine pit lakes

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Several open pit mines in Nevada lower groundwater to mine ore below the water table. After mining, the pits partially fill with groundwater to form pit lakes. Water...

  17. Radon Emission from Coal Mines of Kuzbass Region

    Science.gov (United States)

    Portola, V. A.; Torosyan, E. S.; Antufeyev, V. K.

    2016-04-01

    The article represents the results of a research in radionuclides concentration in coal and rocks of Kuzbass mines as well as radon concentration in operative mines and mined-out spaces. It is proved that radon concentration in mines is considerably higher than in the atmosphere and it rises drastically in the mined-out spaces. It is found out that radon is carried out from mines by ventilation flows and from open pits, generating anomalous concentrations over self-ignition areas.

  18. The Necessity of Public Relations for Sustainable Mining Activities

    Science.gov (United States)

    Lee, Hyunbock; Ji, Sangwoo

    2015-04-01

    This paper reports research about the necessity of image making for sustainable mine developments in the Republic of Korea. One of the big risks in mining activities is mining area residents opposing mine developments and operations. Analysis of the media reports on disputes between mining companies and residents can determine causes of opposing mine developments, dispute process, and influences of disputes on processes of mining projects. To do this, civil complaints from 2009 to 2012 and 24 media reports since 2000 on opposing mining activities are analyzed. And, to analyze difficulties of mining companies, the survey is conducted to target to mining companies. 57 representatives of mining companies are participated in the survey. The result of analysis cited that the major reasons of anti-mining activities are environmental degradation and reduced agricultural productivity. And specifically because of water pollution (50%), crop damages (33%), and mining dust pollution (21%), communities of mining area are against mine developments and operations. However, 25% of residents have experience of the damage caused by mining activities and the remaining 75% of residents opposing mining activities simply have anxiety about mining pollution. In the past, construction-oriented, environment-unfriendly mining projects had lasted. And while mine reclamation had been postponed in abandoned mines, mining area residents had suffered from mining pollution. So, mining area residents are highly influenced by the prejudice that mining activities are harmful to mining area communities. Current mining projects in South Korea, unlike the past mining activity, focus on minimizing environmental damage and contributing to mining area communities financially. But, in many case of disputes between mining companies and mining area residents, the both cannot reach an agreements because of the negative prejudice. Moreover, some communities categorically refuse any mining activity. On the

  19. Back-and-forth mining for hard and thick coal seams-research about the mining technology for fully mechanized caving working face of Datong Mine

    Institute of Scientific and Technical Information of China (English)

    JIN Zhi-xin; YU Hong; YU Bin; SONG Hua-ling

    2005-01-01

    The article introduced the key technology, mining process, and back-and-forth mining method for the caving working face of hard-thick coal seams in Datcng mine, and researched this innovations process, optimized the systemic design and working face outplay, tried to perfect the caving mining technology of hard-thick coal seams further.

  20. Innovation : green mines, green energy

    Energy Technology Data Exchange (ETDEWEB)

    Tisch, B.; Ednie, H. [Natural Resources Canada, Ottawa, ON (Canada)

    2007-02-15

    Natural Resources Canada has recently launched a program to investigate the possibility of remediating tailings impoundment areas with wastes from other industries in order to grow energy crops for biofuel production. A pilot program will be initiated at Ontario mine sites within the next year. The program will cover tailings ponds with organic waste materials from industrial sources, in which energy crops such as canola, soy or corn will be planted to provide feedstock for the production of biofuels. The program could represent a major contribution from the mining industry towards local biofuel production, greenhouse gas (GHG) reductions, and sustainable development. Many communities in Canada have shown an interest in producing biofuels, and many cities are now faced with increasing pressure to divert organic wastes from local landfills. The utilization of clean, composted municipal wastes on mine tailings could provide long-term disposal options for many municipalities. However, adding a thick cover of organic material over the tailings will alter redox conditions near the tailings surface, which may in turn affect metal mobility. It is expected that dissolved organic carbon (DOC) levels will increase in the tailings drainage water that is sent to the water treatment facility. Laboratory studies are currently being conducted to evaluate the effect of adding both 20 cm and 1 m of paper mill biosolids to tailings, and a bench-scale evaluation of the potential consequences of increased DOC on effluent treatability and toxicity is also being conducted. It was concluded that after the pilot program has demonstrated the project's technical feasibility, future work will focus on community education and improving financial benefits. 2 figs.

  1. Feasibility study of highwall mining in north surface mine of Yima Coal Corporation,China

    Institute of Scientific and Technical Information of China (English)

    Guoming Cheng; Sijing Wang; Meifeng Cai

    2003-01-01

    Yima Coal Corporation is considering to adopt highwall mining method with auger machine to recover coal from north surface pit that has reached final highwall position. The major geomechanical issues associated with auger mining are highwall and pillar stability. Based on the field investigation and laboratory test results of mechanical parameters, numerical modeling is carried out to assess the stability of highwall and pillar. Field measurements of highwall deformation have been used to validate and ensure the confidence for the development of realistic models. The results of numerical modeling show that the mining method is feasible for mining the seam of 10 m thickness in north surface coal mine.

  2. Social media mining with R

    CERN Document Server

    Heimann, Richard

    2014-01-01

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

  3. 21 Recipes for Mining Twitter

    CERN Document Server

    Russell, Matthew

    2011-01-01

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

  4. Rockburst disasters in coal mine

    Institute of Scientific and Technical Information of China (English)

    Manchao HE

    2006-01-01

    The ruckburst of granite from Kailuan coal mine was reproduced by a new triaxial experimental system. The experimental results show that the rockburst process can be divided into four stages including calm period, grain ejection, sheet cracking and entire collapse. The rockburst intensity is classified by the ratio of maximum principal stress to uniaxial compressive strength. Three types of rockburst for the granite have been defined as delayed rockburst, normal rockburst, and instantaneous rockburst, according to the duration from suddenly unloading to rockburst occurring. Primary mechanism for the granite was studied.

  5. Investigating MOOCs Through Blog Mining

    Directory of Open Access Journals (Sweden)

    Yong Chen

    2014-04-01

    Full Text Available 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 findings indicate, while MOOCs have benefitted learners, providers, and faculty who develop and teach MOOCs, challenges still exist, such as questionable course quality, high dropout rate, unavailable course credits, ineffective assessments, complex copyright, and limited hardware. Future research should explore the position of MOOCs and how it can be sustained.

  6. Data mining for ontology development.

    Energy Technology Data Exchange (ETDEWEB)

    Davidson, George S.; Strasburg, Jana (Pacific Northwest National Laboratory, Richland, WA); Stampf, David (Brookhaven National Laboratory, Upton, NY); Neymotin,Lev (Brookhaven National Laboratory, Upton, NY); Czajkowski, Carl (Brookhaven National Laboratory, Upton, NY); Shine, Eugene (Savannah River National Laboratory, Aiken, SC); Bollinger, James (Savannah River National Laboratory, Aiken, SC); Ghosh, Vinita (Brookhaven National Laboratory, Upton, NY); Sorokine, Alexandre (Oak Ridge National Laboratory, Oak Ridge, TN); Ferrell, Regina (Oak Ridge National Laboratory, Oak Ridge, TN); Ward, Richard (Oak Ridge National Laboratory, Oak Ridge, TN); Schoenwald, David Alan

    2010-06-01

    A multi-laboratory ontology construction effort during the summer and fall of 2009 prototyped an ontology for counterfeit semiconductor manufacturing. This effort included an ontology development team and an ontology validation methods team. Here the third team of the Ontology Project, the Data Analysis (DA) team reports on their approaches, the tools they used, and results for mining literature for terminology pertinent to counterfeit semiconductor manufacturing. A discussion of the value of ontology-based analysis is presented, with insights drawn from other ontology-based methods regularly used in the analysis of genomic experiments. Finally, suggestions for future work are offered.

  7. Coal mining: coal in Spain

    Energy Technology Data Exchange (ETDEWEB)

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

    1984-01-01

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

  8. EDUCATIONAL DATA MINING USING JMP

    Directory of Open Access Journals (Sweden)

    Sadiq Hussain

    2014-11-01

    Full Text Available Educational Data Mining is a growing trend in ca se of higher education. The quality of the Educational Institute may be enhanced through discovering hidden knowledge from the student databases/ data warehouses. Present paper is designed to carry out a comparative study with the TDC (Three Year Degr ee C ourse students of different colleges affiliated to Dibrugarh University. The study is conducted with major subject wise, gender wise and category/caste wise. The experimental results may be visualized with Scatterplot3D, Bubble Plot, Fit Y by X, Run Chart, Control Chart etc. of the SAS JMP Software

  9. Mining geophysical methods in service of up-to-date mining and the safety mines at the Oroszlany Coal Mines

    Energy Technology Data Exchange (ETDEWEB)

    Csokas, J.; Dobroka, M.; Gyulai, A.; Ormos, T.

    1987-01-01

    The geoelectric sounding method used for detecting tectonic disturbances is described and the coal quality maps obtained with the aid of this method are presented. The determination of calorific value distribution of the coal seams and the tomographic determination of seismic absorptions in practice are also discussed. A brief survey is presented on the geothermic measurement method used for detecting underground water courses. Examples are enumerated from the Oroszlany Coal Mines. The new instruments for geoelectric sounding, for rock surface temperature measurement and underground temperature measurements are described.

  10. Environmentalism and natural aggregate mining

    Science.gov (United States)

    Drew, L.J.; Langer, W.H.; Sachs, J.S.

    2002-01-01

    Sustaining a developed economy and expanding a developing one require the use of large volumes of natural aggregate. Almost all human activity (commercial, recreational, or leisure) is transacted in or on facilities constructed from natural aggregate. In our urban and suburban worlds, we are almost totally dependent on supplies of water collected behind dams and transported through aqueducts made from concrete. Natural aggregate is essential to the facilities that produce energy-hydroelectric dams and coal-fired powerplants. Ironically, the utility created for mankind by the use of natural aggregate is rarely compared favorably with the environmental impacts of mining it. Instead, the empty quarries and pits are seen as large negative environmental consequences. At the root of this disassociation is the philosophy of environmentalism, which flavors our perceptions of the excavation, processing, and distribution of natural aggregate. The two end-member ideas in this philosophy are ecocentrism and anthropocentrism. Ecocentrism takes the position that the natural world is a organism whose arteries are the rivers-their flow must not be altered. The soil is another vital organ and must not be covered with concrete and asphalt. The motto of the ecocentrist is "man must live more lightly on the land." The anthropocentrist wants clean water and air and an uncluttered landscape for human use. Mining is allowed and even encouraged, but dust and noise from quarry and pit operations must be minimized. The large volume of truck traffic is viewed as a real menace to human life and should be regulated and isolated. The environmental problems that the producers of natural aggregate (crushed stone and sand and gravel) face today are mostly difficult social and political concerns associated with the large holes dug in the ground and the large volume of heavy truck traffic associated with quarry and pit operations. These concerns have increased in recent years as society's demand for

  11. Development of Polish mining education until the year 1939

    Energy Technology Data Exchange (ETDEWEB)

    Krawczyk, J.

    1989-01-01

    Describes history of the education system for coal miners and petroleum miners in Poland from 1803 to 1939. The following information is evaluated: foundation time, sponsors, type of education, courses, duration of mining education, personnel, number of students, cooperation with other educational institutes. The following schools and educational institutions are discussed: mining schools in Krolewska Huta and Tarnowskie Gory (1803), mining school in Wieliczka (1861) and Boryslawiec (1886), mining school in Dabrowa (1907), mining school in Katowice (fusion of schools in Wieliczka and Tarnowskie Gory in 1933), mining school in Dabrowa Gornicza (1889), mining academy in Kielce (1816), Mining Academy in Cracow (1919). 85 refs.

  12. A direct mining approach to efficient constrained graph pattern discovery

    DEFF Research Database (Denmark)

    Zhu, Feida; Zhang, Zequn; Qu, Qiang

    2013-01-01

    Despite the wealth of research on frequent graph pattern mining, how to efficiently mine the complete set of those with constraints still poses a huge challenge to the existing algorithms mainly due to the inherent bottleneck in the mining paradigm. In essence, mining requests with explicitly......, we develop SkinnyMine, an efficient algorithm to mine all the l-long δ-skinny patterns guaranteeing both the completeness of our mining result as well as the unique generation of each target pattern. We also present a general direct mining framework together with two properties of reducibility...

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

    CERN Document Server

    Hońko, Piotr

    2017-01-01

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

  14. 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.

  15. 12th International Symposium Continuous Surface Mining

    CERN Document Server

    2015-01-01

    This edited volume contains research results presented at the 12th International Symposium Continuous Surface Mining, ISCSM Aachen 2014. The target audience primarily comprises researchers in the lignite mining industry and practitioners in this field but the book may also be beneficial for graduate students.

  16. Trends and Problems in Mining Engineering Education

    Directory of Open Access Journals (Sweden)

    Gülhan ÖZBAYOĞLU

    2011-01-01

    Full Text Available Mining engineering in Turkey has the lowest rank among the other engineering fields. Unemployment, instability in mining industry, lack of investments, difficult working conditions, terrible mining disasters and negative impression of environmentalists are some of the reasons for this fact. On the other hand, mining education has been changing worldwide in the last decade. Many famous mining schools have terminated their programs or established regional collaborations. Therefore, the universities started to rethink and restructure their mining education programs to meet the requirements of the industry and public. In this article, the mining engineering education in the past and present was reviewed including the number of academic staff and graduates. The developments of the engineering curriculum was examined in the world and Europe as well as in Turkey, in particular METU (Middle East Technical University program was investigated, in detail. In Turkey, two mining engineering departments and three programs have been accreditated by ABET(Accreditation Board for Engineering and Technology and MÜDEK (Association for Evaluation and Accreditation of Engineering Programs, respectively.

  17. Data mining and knowledge discovery handbook

    CERN Document Server

    Maimon, Oded

    2010-01-01

    This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

  18. Taxation on mining and hydrocarbon investments

    Directory of Open Access Journals (Sweden)

    Beatriz De La Vega Rengifo

    2014-07-01

    Full Text Available This article comments the most important aspects of the tax treatment applicable to investments of mining and oil and gas industry. The document highlights the relevant tax topics of the general tax legislation(Income Tax Law and the special legislation of both industries (General Mining Law and Hydrocarbons Organic Law.

  19. Accuracy of forecast of mine tremors location

    Energy Technology Data Exchange (ETDEWEB)

    Jan Drzewieck [Central Mining Institute, Katowice (Poland)

    2009-09-15

    The Upper Silesian Coal Basin is one of the most active mining areas in the world in respect of seismicity. Underground mining in this area takes place in a special environment with a high degree of risk of unpredictable event occurrence. Especially dangerous are phenomena that occur during the extraction of deposits at great depths in the environment of compact rocks. Deep underground mining violates the balance of these rocks and induces dynamic phenomena at the longwall life (in terms of distance) referred to as mine tremors. The sources of these tremors are located in layers characterised by high strength, especially in thick sandstone strata occurring in the roof of the mined seam. In the paper a discussion is presented about the influence of mining intensity (longwall face speed) on the location of mine tremor sources, both in the direction of longwall life (in terms of distance) and towards the surface. The presented material has been prepared based on the results of tests and measurements carried out at the Central Mining Institute. 8 refs., 5 figs.

  20. Accuracy of forecast of mine tremors location

    Institute of Scientific and Technical Information of China (English)

    DRZEWIECKI Jan

    2009-01-01

    The Upper Silesian Coal Basin is one of the most active mining areas in the world in respect of seismicity. Underground mining in this area takes place in a special environment with a high degree of risk of unpredictable event occurrence. Especially dangerous are phenomena that occur during the extraction of deposits at great depths in the environment of compact rocks. Deep underground mining violates the balance of these rocks and induces dynamic phenomena at the longwall life (in terms of distance) referred to as mine tremors. The sources of these tremors are located in layers characterised by high strength, especially in thick sandstone strata occurring in the roof of the mined seam. In the paper a discussion is presented about the influence of mining inten-sity (longwall face speed) on the location of mine tremor sources, both in the direction of longwall life (in terms of distance) and towards the surface. The presented material has been prepared basing on the results of tests and measurements carried out at the Central Mining Institute.

  1. Mining the ocean floor: Managing geological uncertainty

    NARCIS (Netherlands)

    Wambeke, T.; Alvarez Grima, M.; Fenton, G.A.; Benndorf, J.; Vervoort, A.

    2013-01-01

    As land resources decrease, commodity prices increase, and technology evolves, deep sea mining is becoming a viable alternative to meet the increasing demand for minerals. Successful deep sea mining operations are built on sound identification of the resource, proper selection of equipment, a though

  2. Specific industrial medicine in lignite mining

    Energy Technology Data Exchange (ETDEWEB)

    Zerlett, G.; Toussaint, R.; Hilfert, R.; Koehne, G.

    1986-11-01

    Lignite is almost exclusively mined open-cast in West Germany. Mining is carried out at present in deep open-cast mines (with depths up to 400 m) using modern mining conveyer techniques with large-scale equipment (rotary bucket excavators and thickeners) conveyer belt and railway links as well as earth-moving equipment (accessory equipment). Specific occupational diseases are not known in lignite mining. Occupational diseases in the sense of degenerative processes of the lumbar spine and avulsion fractures of spinous processes of the lower cervical spine in drivers of earth-moving equipment as a result of whole-body vibration stress have been observed. In the context of occupational disease and industrial accident prevention, close collaboration and a division of labor between industrial physicians and safety engineers of ergonomics specialists have proved to be very efficient. Industrial medical preventive examinations based on statutory regulations and the lignite mining ordinance have a long tradition and are given a great deal of space. First aid at work is organized in a largely decentralized manner owing to the extensiveness of the mining area. The industrial medical care of the employees takes place on site in the various sections (open-cast mining, workshops, brickett factories, processing units etc.). The entire medical technical diagnostics is carried out centrally in an industrial medical center.

  3. 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.

  4. Overview of the SBS 2016 Mining Track

    DEFF Research Database (Denmark)

    Bogers, Toine; Hendrickx, Iris; Koolen, Marijn;

    2016-01-01

    In this paper we present an overview of the mining track in the Social Book Search (SBS) lab 2016. The mining track addressed two tasks: (1) classifying forum posts as book search requests, and (2) linking book title mentions in forum posts to unique book IDs in a database. Both tasks are important...

  5. Coal Mine Methane in Russia [Russian Version

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-07-01

    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.

  6. Efficient Mining of Intertransaction Association Rules

    NARCIS (Netherlands)

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

    2003-01-01

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

  7. Opposition to gold mining at Bergama, Turkey

    NARCIS (Netherlands)

    M. Arsel (Murat)

    2012-01-01

    textabstractIntroduction For much of the 1990s, the tourist town of Bergama was the epicentre of Turkey's most effective and visible environmental social movement against a multinational mining corporation aiming to establish the first modern gold mine in the country. Bringing relatively prosperous

  8. Data Mining Approaches for Intrusion Detection

    Science.gov (United States)

    2007-11-02

    In this paper we discuss our research in developing general and systematic methods for intrusion detection. The key ideas are to use data mining techniques...two general data mining algorithms that we have implemented: the association rules algorithm and the frequent episodes algorithm. These algorithms can

  9. SURFACE MINE PLANNING OPTIMIZATION BY GOAL PROGRAMMING

    Institute of Scientific and Technical Information of China (English)

    陈意平; 张幼蒂

    1991-01-01

    This paper introduced an approach to surface mine planning optimization-Goal Programming.The multiobjective[0-1] model has been built and the software has been developed.The method has been applied to a huge surface coal mine,the result of which shows that it is effective and feasible.

  10. Historical Bibliography of Sea Mine Warfare

    Science.gov (United States)

    1976-01-01

    r.) Pier Filippo Lupinacoi, 1966; Roma . 487 p. 11. Marine Mines (Their Purpose: How They Are. Planted and How Destroyed); Scientific American...Yale University Press, Vol. II 1914; New Haven. 14. Stokes, Donald; Lee Mines Magnetiquee Auraient pu Faire Perdue Za Guerre aux Allies; " Historia

  11. DATA MINING POTENCY ESTIMATORS FROM TOXICOLOGICAL DATABASES

    OpenAIRE

    Piegorsch, Walter W.; Simmons, Susan J.; Zeiger, Errol

    2004-01-01

    We discuss use of data mining techniques to study estimators of toxic potency (activity) in toxicological databases. The methods are slight variations on the standard data mining motif, but fit fully within the larger context of knowledge discovery in databases. An example illustrates the general theme of the approach, using results from a U.S. National Toxicology Program Salmonella mutagenicity database.

  12. Occupant safety in vehicle mine protection

    NARCIS (Netherlands)

    Verhoeven, T.A.; Leerdam, P.J.; Horst, M.J. van der

    2002-01-01

    Personnel safety is crucial in operations where mines pose a threat, in peacekeeping and peace-enforcing operations occupant safety has a high priority. In the past five years, the TNO Defence Research Organisation participated in projects for the improvement of the mine protection of several milita

  13. A perspective on databases and data mining

    NARCIS (Netherlands)

    Holsheimer, M.; Kersten, M.L.; Mannila, H.; Toivonen, H.

    1995-01-01

    We discuss the use of database methods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data structures. We study how well one can manage by using general purpose database management systems. We illustrate our ideas by

  14. Comprehensive experiment and evaluation on safety due to fully-mechanized mining under the Xitian River at Linxin Mine

    Institute of Scientific and Technical Information of China (English)

    LAI Xing-ping; REN Fen-hua; CAI Mei-feng

    2004-01-01

    L3414 mechanized mining working face (No.14 coal seam) of Lingxin Mine is under the Xitian River. The mining disturbed zone where rock properties and conditions have been changed due to mining, the safety and environmental protection were concemed greatly. Based on engineering geological environment of L3414 working face and mining factors, the color bore-bole TV inspecting, leakage of drilling fluid monitoring,simulation experiment, numerical computing, in-situ ground stress measurement and subsidence measurement, etal, these programs contribute to the formation of a scientific basis for control water safe mining and normal mining or environmental protection in the condition of existing fully-mechanized mining.

  15. Frequent Pattern Mining Algorithms for Data Clustering

    DEFF Research Database (Denmark)

    Zimek, Arthur; Assent, Ira; Vreeken, Jilles

    2014-01-01

    that frequent pattern mining was at the cradle of subspace clustering—yet, it quickly developed into an independent research field. In this chapter, we discuss how frequent pattern mining algorithms have been extended and generalized towards the discovery of local clusters in high-dimensional data......Discovering clusters in subspaces, or subspace clustering and related clustering paradigms, is a research field where we find many frequent pattern mining related influences. In fact, as the first algorithms for subspace clustering were based on frequent pattern mining algorithms, it is fair to say....... In particular, we discuss several example algorithms for subspace clustering or projected clustering as well as point out recent research questions and open topics in this area relevant to researchers in either clustering or pattern mining...

  16. A Survey on Social Image Mining

    Science.gov (United States)

    Liu, Zheng

    With the rapid development of Web2.0 technology, we have witnessed great interest and promise in social image mining as a hot research field. Discovering and summarizing knowledge from these multimedia data enables us to mine useful information from the real world. In this paper, the approaches of three kinds of information mined from social images are reviewed: geographic information, hot events of the society and information about personal photo collections. Several key theoretical and empirical contributions in the current decade related to social image mining are discussed. Based on the analysis of what has been achieved in recent years, we believe that social image mining will be paid more and more attentions in the near future.

  17. Development of Mine Detection Robot System

    Directory of Open Access Journals (Sweden)

    Yuichi Satsumi

    2008-11-01

    Full Text Available The Mine Detection Robot supports the mine removal work in countries where mines are buried, such as Afghanistan. The development started from September, 2003. Considering running on rough terrains, the robot has four crawlers, and hydraulic motors in front and rear were serially connected by piping so that they could rotate synchronously. Two work arms were mounted on the robot, one was a horizontal multi-joint SCARA type with motorized 2-link arm, while the other was a vertical multi-joint manipulator with 6 degrees of freedom. Also, domestic evaluation tests were carried out from February to March, 2005, followed by overseas validation tests in Croatia from February to March, 2006. These tests were conducted with a mine detecting senor mounted on the Robot, and the detection performance was evaluated by its mine detection rate.

  18. Comprehensive evaluation system of coal mining

    Energy Technology Data Exchange (ETDEWEB)

    Lian, D.; Wang, Y. [University of Science and Technology of Suzhou, Suzhou (China). Dept. of City and Environment

    2005-01-01

    In order to ensure the sustainable and effective coal mining under buildings, railways and water bodies and reduce the influence on the ground establishment and the ecological environments, from the view of technology, economics, resources and society, the three-underground mining was evaluated and the comprehensive evaluating system was constructed. The evaluation of the three-underground mining was carried out with combination of qualitative with quantitative analysis, macro with micro discussion, the technical and the economic analysis and theory with practice. Such subjects as engineering economy, science of mining subsidence, fuzzy maths, operational research, theory of information and theory of system were adopted. The results can provide the theoretical basis and practical guidance for decision-making and related policy about three-underground mining. 8 refs., 5 figs., 3 tabs.

  19. Controlling False Positives in Association Rule Mining

    CERN Document Server

    Liu, Guimei; Wong, Limsoon

    2011-01-01

    Association rule mining is an important problem in the data mining area. It enumerates and tests a large number of rules on a dataset and outputs rules that satisfy user-specified constraints. Due to the large number of rules being tested, rules that do not represent real systematic effect in the data can satisfy the given constraints purely by random chance. Hence association rule mining often suffers from a high risk of false positive errors. There is a lack of comprehensive study on controlling false positives in association rule mining. In this paper, we adopt three multiple testing correction approaches---the direct adjustment approach, the permutation-based approach and the holdout approach---to control false positives in association rule mining, and conduct extensive experiments to study their performance. Our results show that (1) Numerous spurious rules are generated if no correction is made. (2) The three approaches can control false positives effectively. Among the three approaches, the permutation...

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

    Science.gov (United States)

    Yao, Gang; Zhang, Xiaoxiang; Wang, Huoming

    2014-06-01

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

  1. A survey of temporal data mining

    Indian Academy of Sciences (India)

    Srivatsan Laxman; P S Sastry

    2006-04-01

    Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. The field of temporal data mining is concerned with such analysis in the case of ordered data streams with temporal interdependencies. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Since temporal data mining brings together techniques from different fields such as statistics, machine learning and databases, the literature is scattered among many different sources. In this article, we present an overview of techniques of temporal data mining. We mainly concentrate on algorithms for pattern discovery in sequential data streams. We also describe some recent results regarding statistical analysis of pattern discovery methods.

  2. 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.

  3. Preprocessing and Morphological Analysis in Text Mining

    Directory of Open Access Journals (Sweden)

    Krishna Kumar Mohbey Sachin Tiwari

    2011-12-01

    Full Text Available This paper is based on the preprocessing activities which is performed by the software or language translators before applying mining algorithms on the huge data. Text mining is an important area of Data mining and it plays a vital role for extracting useful information from the huge database or data ware house. But before applying the text mining or information extraction process, preprocessing is must because the given data or dataset have the noisy, incomplete, inconsistent, dirty and unformatted data. In this paper we try to collect the necessary requirements for preprocessing. When we complete the preprocess task then we can easily extract the knowledgful information using mining strategy. This paper also provides the information about the analysis of data like tokenization, stemming and semantic analysis like phrase recognition and parsing. This paper also collect the procedures for preprocessing data i.e. it describe that how the stemming, tokenization or parsing are applied.

  4. Data Mining of Macromolecular Structures.

    Science.gov (United States)

    van Beusekom, Bart; Perrakis, Anastassis; Joosten, Robbie P

    2016-01-01

    The use of macromolecular structures is widespread for a variety of applications, from teaching protein structure principles all the way to ligand optimization in drug development. Applying data mining techniques on these experimentally determined structures requires a highly uniform, standardized structural data source. The Protein Data Bank (PDB) has evolved over the years toward becoming the standard resource for macromolecular structures. However, the process selecting the data most suitable for specific applications is still very much based on personal preferences and understanding of the experimental techniques used to obtain these models. In this chapter, we will first explain the challenges with data standardization, annotation, and uniformity in the PDB entries determined by X-ray crystallography. We then discuss the specific effect that crystallographic data quality and model optimization methods have on structural models and how validation tools can be used to make informed choices. We also discuss specific advantages of using the PDB_REDO databank as a resource for structural data. Finally, we will provide guidelines on how to select the most suitable protein structure models for detailed analysis and how to select a set of structure models suitable for data mining.

  5. Statistically significant relational data mining :

    Energy Technology Data Exchange (ETDEWEB)

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

    2014-02-01

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

  6. Sustainable Land Management in Mining Areas in Serbia and Romania

    Directory of Open Access Journals (Sweden)

    Vesna Popović

    2015-08-01

    Full Text Available The paper analyzes the impacts of mining activities on sustainable land management in mining areas in the Republic of Serbia and Romania and discusses the main challenges related to the management of these issues in legislation and practice. Particular attention is paid to land disturbance, mine waste management and land reclamation, as well as access to land for mining purposes, the transfer of mining royalties and the partnerships of the mining industry, governments, communities and civil society for sustainable mining. Both governments are willing to provide the adequate role to mining in strengthening the national economies, but they face numerous constraints in this matter. Sustainable mining practices and consistent implementation of the mining for the closure planning approach, within an improved legislative framework and in cooperation with stakeholders at all levels, create conditions for the development of creative, profitable, environmentally-sound and socially-responsible management and reuse of mine lands.

  7. Proceedings: Fourth Workshop on Mining Scientific Datasets

    Energy Technology Data Exchange (ETDEWEB)

    Kamath, C

    2001-07-24

    Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratory data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is

  8. Design risk assessment for burst-prone mines: Application in a Canadian mine

    Science.gov (United States)

    Cheung, David J.

    A proactive stance towards improving the effectiveness and consistency of risk assessments has been adopted recently by mining companies and industry. The next 10-20 years forecasts that ore deposits accessible using shallow mining techniques will diminish. The industry continues to strive for success in "deeper" mining projects in order to keep up with the continuing demand for raw materials. Although the returns are quite profitable, many projects have been sidelined due to high uncertainty and technical risk in the mining of the mineral deposit. Several hardrock mines have faced rockbursting and seismicity problems. Within those reported, mines in countries like South Africa, Australia and Canada have documented cases of severe rockburst conditions attributed to the mining depth. Severe rockburst conditions known as "burst-prone" can be effectively managed with design. Adopting a more robust design can ameliorate the exposure of workers and equipment to adverse conditions and minimize the economic consequences, which can hinder the bottom line of an operation. This thesis presents a methodology created for assessing the design risk in burst-prone mines. The methodology includes an evaluation of relative risk ratings for scenarios with options of risk reduction through several design principles. With rockbursts being a hazard of seismic events, the methodology is based on research in the area of mining seismicity factoring in rockmass failure mechanisms, which results from a combination of mining induced stress, geological structures, rockmass properties and mining influences. The methodology was applied to case studies at Craig Mine of Xstrata Nickel in Sudbury, Ontario, which is known to contain seismically active fault zones. A customized risk assessment was created and applied to rockburst case studies, evaluating the seismic vulnerability and consequence for each case. Application of the methodology to Craig Mine demonstrates that changes in the design can

  9. On 3D Geo-visualization of a Mine Surface Plant and Mine Roadway

    Institute of Scientific and Technical Information of China (English)

    WANG Yunjia; FU Yongming; FU Erjiang

    2007-01-01

    Constructing the 3D virtual scene of a coal mine is the objective requirement for modernizing and processing information on coal mining production. It is also the key technology to establish a "digital mine". By exploring current worldwide research, software and hardware tools and application demands, combined with the case study site (the Dazhuang mine of Pingdingshan coal group), an approach for 3D geo-visualization of a mine surface plant and mine roadway is deeply discussed. In this study, the rapid modeling method for a large range virtual scene based on Arc/Info and SiteBuilder3D is studied, and automatic generation of a 3D scene from a 2D scene is realized. Such an automatic method which can convert mine roadway systems from 2D to 3D is realized for the Dazhuang mine. Some relevant application questions are studied, including attribute query, coordinate query, distance measure, collision detection and the dynamic interaction between 2D and 3D virtual scenes in the virtual scene of a mine surface plant and mine roadway. A prototype system is designed and developed.

  10. From Sequential Pattern Mining to Structured Pattern Mining:A Pattern-Growth Approach

    Institute of Scientific and Technical Information of China (English)

    Jia-Wei Han; Jian Pei; Xi-Feng Yan

    2004-01-01

    Sequential pattern mining is an important data mining problem with broad applications. However,it is also a challenging problem since the mining may have to generate or examine a combinatorially explosive number of intermediate subsequences. Recent studies have developed two major classes of sequential pattern mining methods: (1) a candidate generation-and-test approach, represented by (i) GSP, a horizontal format-based sequential pattern mining method, and (ii) SPADE, a vertical format-based method; and (2) a pattern-growth method, represented by PrefixSpan and its further extensions, such as gSpan for mining structured patterns. In this study, we perform a systematic introduction and presentation of the pattern-growth methodology and study its principles and extensions. We first introduce two interesting pattern-growth algorithms, FreeSpan and PrefixSpan, for efficient sequential pattern mining. Then we introduce gSpan for mining structured patterns using the same methodology. Their relative performance in large databases is presented and analyzed. Several extensions of these methods are also discussed in the paper, including mining multi-level, multi-dimensional patterns and mining constraint-based patterns.

  11. Research on mechanism of groundwater pollution from mine water in abandoned mines

    Institute of Scientific and Technical Information of China (English)

    WANG Lai-gui; LI Xi-lin; LIU Ling; HAN Liang

    2008-01-01

    In order to understand the mechanism and regularity of the groundwater contamination from mine water of abandoned mines, experiments were conducted on an abandoned coal mine in Fuxin, a representative city with lots of mine water in northeast China. The groundwater pollution from different contaminants of coal-mining voids (total hardness, SO2-4, Cl and total Fe) and pollution factors transportation situation in the coal rock were simulated by soil column experiment under the conditions of mine water leaching and main water leaching (similar to rainwater leaching), and the water-rock interaction mechanism was discussed during mine water infiltration through saturated coal rock by application of principle of mass conservation, based on physical properties of coal rock, as well as monitored chemical composition. The results show that, compared with the clear water leaching process, trends of change in pollutant concentrations presented different characteristics in the mine water leaching process. Groundwater is contaminated by the water rock interactions such as migration & accumulation, adsorption & transformation,dissolution & desorption and ion exchange during the mine water permeation. The experiments also suggest that at first dissolution rate of some kinds of dissoluble salts is high,but it decreases with leaching time, even to zero during both the mine water leaching and main water leaching.

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

    Directory of Open Access Journals (Sweden)

    Y. Li

    2016-04-01

    Full Text Available 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 adjacent panels have fully been caved is the infinite plane. On the basis of this model, an equation was derived to calculate the roof failure height of the panel. Considering the geological conditions of No. 9 and No. 12 coal seams of Zhaogezhuang Coal Mine, economic effectiveness, and proposed techniques, we concluded that the top layer (4 m of the No. 12 coal seam should be mined first. The top layer of the No. 9 coal seam should be subsequently mined. The topcaving technique was applied to the exploitation of the lower layer of the No. 12 coal seam. Practically monitored data revealed that the deformation and failure of the No. 2699 panel roadway was small and controllable, the amount of gas emission was reduced significantly, and the effect of upward mining was active. The results of this study provide theory basics for mine designing, and it is the provision of a reference for safe and efficient coal exploitation under similar conditions.

  13. Tellurium Mobility Through Mine Environments

    Science.gov (United States)

    Dorsk, M.

    2015-12-01

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

  14. 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

  15. Description of basic mining legal principles.

    Science.gov (United States)

    Schmidt, Reinhard

    2014-01-01

    The Federal Mining Act manages access, via the system of mining concessions, to areas free for mining natural resources that do not belong to the surface property and deposits' owner. These cover especially important natural resources for the economy, including coal, ore, salt, crude oil and natural gas, and also terrestrial heat. For mining operations there exist, however, the same decrees for natural resources in the property of the surface owners, which are predominantly higher-value industrial minerals such as roofing slate, basalt, quartz sand, and clays for the fireproofing industry. In the case of mining laws, administrative procedures such as issuing mining concessions, approving operating plans, and issuing permits or licenses to explore according to water rights or the Federal Immission Control Act, those authorities and departments in whose remit the projects fall are dealt with by the Mining Authority. This means that the Mining Authority is the only state point of contact for the applicant, essentially an "all-in-one" service as it will itself instigate any further participation procedures required. The classic licensing procedure of mining is the operations plan procedure, whereby the operator submits an operating plan to the Mining Authority, which then examines it to ensure it fulfills mandatory legal safety objectives. If necessary these safety objectives can be met during licensing of the operating plans by stipulating additional requirements, Depending on the subject and validity period there are overall operating plans having the widest possible remit with comprehensive participation by the authorities and basic operating plans that form the basis for every mining works. There are also special operating plans, which owing to the dynamics of mining, resolve matters that suddenly become necessary or when the basic operating plans as originally conceived were not relevant. The closing-down operating plan is the designated tool for closing down

  16. Grizzly bear diet shifting on reclaimed mines

    Directory of Open Access Journals (Sweden)

    Bogdan Cristescu

    2015-07-01

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

  17. Mine rent and the new economic system

    Energy Technology Data Exchange (ETDEWEB)

    Cadan, K. (Federalni Ministerstvo Paliv a Energetiky, Prague (Czechoslovakia))

    1989-09-01

    Reviews historical concept of ground rents with reference to works of Adam Smith and David Ricardo and to 19th century capitalism and Marxism-Leninism. Asks whether mine rents can exist under a socialist system and examines theoretical basis for mine rents, which includes socio-economic aspects, geological conditions, proximity to markets and environmental considerations. Compares mine rents with agricultural land rents and analyzes value of end product (coal) and effect of pricing method on it. Explains pricing system in Czechoslovakia, which involves 3 groupings: coking coal, coke and energy coal (including briquets), the price of each of which is set according to average costs and geological conditions. Surplus revenue (or positive mine rent) only arises therefore at mines where the production costs are lower than fixed trade prices. Discusses in general terms application of new economic system (perestroika) to concept of mine rent and assessment of mine profitability and concludes that method of pricing solid fuels will play a decisive role. 4 refs.

  18. Text mining for the biocuration workflow.

    Science.gov (United States)

    Hirschman, Lynette; Burns, Gully A P C; Krallinger, Martin; Arighi, Cecilia; Cohen, K Bretonnel; Valencia, Alfonso; Wu, Cathy H; Chatr-Aryamontri, Andrew; Dowell, Karen G; Huala, Eva; Lourenço, Anália; Nash, Robert; Veuthey, Anne-Lise; Wiegers, Thomas; Winter, Andrew G

    2012-01-01

    Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining. However, to date, there have been few documented successes for improving biocuration throughput using text mining. Our initial investigations took place for the workshop on 'Text Mining for the BioCuration Workflow' at the third International Biocuration Conference (Berlin, 2009). We interviewed biocurators to obtain workflows from eight biological databases. This initial study revealed high-level commonalities, including (i) selection of documents for curation; (ii) indexing of documents with biologically relevant entities (e.g. genes); and (iii) detailed curation of specific relations (e.g. interactions); however, the detailed workflows also showed many variabilities. Following the workshop, we conducted a survey of biocurators. The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation. It also indicated that two-thirds of the biocuration teams had experimented with text mining and almost half were using text mining at that time. Analysis of our interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow. These can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community.

  19. Condition evaluation of a unique mining site

    Institute of Scientific and Technical Information of China (English)

    Liu Junsheng; Chen Frank Y.; Ma Yan; Zhang Siya

    2015-01-01

    The primary objective of this study was to evaluate the existing conditions and the stability of a mining site in which the unique features of seismicity, mining activity, hydrological conditions, geological con-ditions, environmental conditions, and future development plans were considered. In particular, the potential subsidence locations near the proposed construction site, the effects of mining boundary profile, and the influence scope of the mining activity on the neighboring areas were investigated using the finite element method. The study results indicate:(1) the overlying sandstone layer to the coal layer is the key to the stability of the mining roof; (2) the broken boundary has the most effect, followed by the arc boundary and linear boundary; (3) the safe distance from the mining boundary should be at least 400 m if the proposed structure is to be built near an active mining site. Other relevant engineering rec-ommendations are also proposed. The concluded results from this study may serve as a guide to other similar sites in the world.

  20. 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.

  1. Text Classification using Data Mining

    CERN Document Server

    Kamruzzaman, S M; Hasan, Ahmed Ryadh

    2010-01-01

    Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification using data mining that requires fewer documents for training. Instead of using words, word relation i.e. association rules from these words is used to derive feature set from pre-classified text documents. The concept of Naive Bayes classifier is then used on derived features and finally only a single concept of Genetic Algorithm has been added for final classification. A system based on the...

  2. Towards Greener and Safer Mines

    CERN Document Server

    Srivastava, Dhruv

    2010-01-01

    Miniaturised sensors and networking are technical proven concepts. Both the technologies are proven and various components e.g., sensors, controls, etc. are commercially available. Technology scene in above areas presents enormous possibilities for developing innovative applications for real life situations. Mining operations in many countries have lot of scope for improving environmental and safety measures. Efforts have been made to develop a system to efficiently monitor a particular environment by deploying a wireless sensor network using commercially available components. Wireless Sensor Network has been integrated with telecom network through a gateway using a suitable topology which can be selected at the application layer. The developed system demonstrates a way to connect wireless sensor network to external network which enables the distant administrator to access real time data and act expediently from long-distance to improve the environmental situation or prevent a disaster. Potentially, it can be...

  3. Mining Developer Communication Data Streams

    Directory of Open Access Journals (Sweden)

    Andy M. Connor

    2014-02-01

    Full Text Available 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 niques to identify the most useful metrics for predicting build outcomes. Results are presented fr om applying the Hoeffding Tree classification method used in conjunction with the Adaptive Sliding Window (ADWIN method for detecting concept drift. The results indicate t hat only a small number of the available metrics considered have any significance for predicting the outcome of a build.

  4. CANINE: a robotic mine dog

    Science.gov (United States)

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

    2013-01-01

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

  5. Space mining and its regulation

    CERN Document Server

    Jakhu, Ram S; Nyampong, Yaw Otu Mankata

    2017-01-01

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

  6. Mining truck scheduling with stochastic maintenance cost

    Institute of Scientific and Technical Information of China (English)

    Erkan TOPAL; Salih RAMAZAN

    2012-01-01

    Open pit mining operations utilize large scale and expensive equipment.For the mines implementing shovel and truck operation system,trucks constitute a large portion of these equipment and are used for hauling the mined materials.In order to have sustainable and viable operation,these equipment need to be utilized efficiently with minimum operating cost.Maintenance cost is a significant proportion of the overall operating costs.The maintenance cost of a truck changes non-linearly depending on the type,age and truck types.A new approach based on stochastic integer programming (SIP) techniques is used for annually scheduling a fixed fleet of mining trucks in a given operation,over the life of mine (multi-year time horizon) to minimize maintenance cost.The maintenance cost data in mining usually has uncertainty caused from the variability of the operational conditions at mines.To estimate the cost,usually historic data from different operations for new mines,and/or the historic data at the operating mines are used.However,maintenance cost varies depending on road conditions,age of equipment and many other local conditions at an operation.Traditional models aim to estimate the maintenance cost as a deterministic single value and financial evaluations are based on the estimated value.However,it does not provide a confidence on the estimate.The proposed model in this study assumes the truck maintenance cost is a stochastic parameter due to the significant level of uncertainty in the data and schedules the available fleet to meet the annual production targets.The scheduling has been performed by applying both the proposed stochastic and deterministic approaches.The approach provides a distribution for the maintenance cost of the optimized equipment schedule minimizing the cost.

  7. Sequential Pattern Mining Using Formal Language Tools

    Directory of Open Access Journals (Sweden)

    R. S. Jadon

    2012-09-01

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

  8. 15 CFR 970.601 - Logical mining unit.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Logical mining unit. 970.601 Section... § 970.601 Logical mining unit. (a) In the case of an exploration license, a logical mining unit is an... Administrator of a proposed exploration logical mining unit will be based on a case-by-case review of...

  9. 78 FR 58264 - Refuge Alternatives for Underground Coal Mines

    Science.gov (United States)

    2013-09-23

    ... Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION: Request for information...) on Refuge Alternatives for Underground Coal Mines. This extension gives interested parties additional... for Underground Coal Mines. The RFI comment period had been scheduled to close on October 7, 2013....

  10. 78 FR 48591 - Refuge Alternatives for Underground Coal Mines

    Science.gov (United States)

    2013-08-08

    ... Refuge Alternatives for Underground Coal Mines; Proposed Rules #0;#0;Federal Register / Vol. 78 , No. 153... 30 CFR Part 75 RIN 1219-AB84 Refuge Alternatives for Underground Coal Mines AGENCY: Mine Safety and... alternatives in underground coal mines. The U.S. Court of Appeals for the District of Columbia Circuit...

  11. 78 FR 48593 - Refuge Alternatives for Underground Coal Mines

    Science.gov (United States)

    2013-08-08

    ... Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION: Request for information... the existing rule during underground coal mine emergencies. The Agency continues to reiterate that in the event of an underground coal mine emergency, a miner should seek escape as the first line...

  12. 78 FR 73471 - Refuge Alternatives for Underground Coal Mines

    Science.gov (United States)

    2013-12-06

    ... Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION: Request for information...) on Refuge Alternatives for Underground Coal Mines. This extension gives interested parties additional... Alternatives for Underground Coal Mines. The RFI comment period was originally scheduled to close on October...

  13. 36 CFR 5.14 - Prospecting, mining, and mineral leasing.

    Science.gov (United States)

    2010-07-01

    ... mineral leasing. 5.14 Section 5.14 Parks, Forests, and Public Property NATIONAL PARK SERVICE, DEPARTMENT OF THE INTERIOR COMMERCIAL AND PRIVATE OPERATIONS § 5.14 Prospecting, mining, and mineral leasing. Prospecting, mining, and the location of mining claims under the general mining laws and leasing under...

  14. 36 CFR 1005.14 - Prospecting, mining, and mineral leasing.

    Science.gov (United States)

    2010-07-01

    ... mineral leasing. 1005.14 Section 1005.14 Parks, Forests, and Public Property PRESIDIO TRUST COMMERCIAL AND PRIVATE OPERATIONS § 1005.14 Prospecting, mining, and mineral leasing. Prospecting, mining, and the location of mining claims under the general mining laws and leasing under the mineral leasing laws...

  15. 30 CFR 819.15 - Auger mining: Hydrologic balance.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Auger mining: Hydrologic balance. 819.15... MINING § 819.15 Auger mining: Hydrologic balance. (a) Auger mining shall be planned and conducted to minimize disturbances of the prevailing hydrologic balance in accordance with the requirements of §§...

  16. 30 CFR 49.8 - 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. 49.8 Section 49... TRAINING MINE RESCUE TEAMS § 49.8 Training for mine rescue teams. (a) Prior to serving on a mine rescue team each member shall complete, at a minimum, an initial 20-hour course of instruction as...

  17. Statistical framework for decision making in mine action

    DEFF Research Database (Denmark)

    Larsen, Jan

    The lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance...

  18. Statistical framework for decision making in mine action

    DEFF Research Database (Denmark)

    2007-01-01

    The lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance...

  19. Application of fuzzy mathematics in assessment of mine design bidding

    Energy Technology Data Exchange (ETDEWEB)

    Zhu Sen

    1988-12-01

    Assessment of mine design bidding is mainly to evaluate the quality of a mine design. The paper established a 3-stage model to assess quality of mine design using fuzzy criterion. A concept of assessment figures was proposed in the analysis of the results. Finally, a mine design was assessed. 2 refs., 2 figs., 1 tab.

  20. Using Open Web APIs in Teaching Web Mining

    Science.gov (United States)

    Chen, Hsinchun; Li, Xin; Chau, M.; Ho, Yi-Jen; Tseng, Chunju

    2009-01-01

    With the advent of the World Wide Web, many business applications that utilize data mining and text mining techniques to extract useful business information on the Web have evolved from Web searching to Web mining. It is important for students to acquire knowledge and hands-on experience in Web mining during their education in information systems…

  1. 30 CFR 57.22607 - Blasting on shift (III mines).

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Blasting on shift (III mines). 57.22607 Section... Standards for Methane in Metal and Nonmetal Mines Explosives § 57.22607 Blasting on shift (III mines). When blasting on shift, tests for methane shall be made in the mine atmosphere by a competent person...

  2. Study on data mining technology in hyperspectral remote sensing

    Science.gov (United States)

    Su, Hongjun; Sheng, Yehua; Wen, Yongning; Tao, Hong

    2007-06-01

    In this paper, the problems rise in hyperspectral data mining and some key issues should pay attention to were proposed based on the analysis on the state-of-art of hyperspectral data mining. The problems are as follows: data mining precision, mining algorithm efficiency, new hyperspectral data mining algorithms, the uncertainty in hyperspectral data mining, visualization in hyperspectral data mining process, and knowledge presentation, interpretation, estimation and management etc.. Some key issues should emphasize in the future are: systematic hyperspectral data mining theory, dimensionality reduction, mining spatial and temporal knowledge from images, and mining distributed data and mining multi-agent data. Also the framework and architecture of hyperspectral data mining were put forward in this paper. Hyperspectral data mining framework includes some subparts as follows: data selection, data preprocessing, data transfer, data mining and pattern estimation. And the architecture is composed of database, data warehouse, database management system, repository, mining process, user interface etc.. At last, an algorithm which named Relational perspective map (RPM) was introduced into the field of hyperspectral data mining. By the experiment on the spectra data from USGS spectral library, it proves that this algorithm is suitable to discover those spectral features and to identify and discriminate object classes based on their spectra.

  3. 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

  4. WHAT INNOVATIVE APPROACHES CAN BE DEVELOPED FOR MINING SITES?

    Science.gov (United States)

    Mining is essential to maintain our way of life. However, based upon industry's reporting in the most recent Toxic Release Inventory (TRI), the primary sources of heavy metal releases to the environment are mining and mining related activities. The hard rock mining industry rel...

  5. Text Mining for Protein Docking.

    Directory of Open Access Journals (Sweden)

    Varsha D Badal

    2015-12-01

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

  6. Spatial-temporal data mining

    Science.gov (United States)

    Pokrajac, Dragoljub Milos

    Spatial-temporal data mining techniques have become increasingly important in emerging fields such as remote sensing, precision agriculture, geoscience and brain imaging. In this Thesis, novel spatial-temporal data mining methods and algorithms are presented. After the introductory remarks, modeling spatial-temporal attributes with short observation history using spatial-temporal autoregressive models on uniform grid is explored. Model specifications (including covariance structure and stationarity) are discussed as well as issues in model identification, estimation and forecasting on three different sampling schedules. The proposed technique is experimentally evaluated on simulated spatial-temporal processes that confirm to model assumptions as well as on real-life agricultural data. Subsequently, we proceed with spatial-temporal prediction of a response variable with a partial observability of influential attributes. After mathematical definition of the proposed model, evaluation of the estimation technique on synthetic data that conform to the modeling assumptions is performed and a model is assessed on simulated realistic spatial-temporal data, obtained using the proposed data generator. The following part of the Thesis is dedicated to spatial-temporal profit optimization using neural network modeling. Profit optimization is proposed using a two-phase process that consists of estimation of response/attribute dependence and profit optimization for a particular tuple of attribute values. The proposed method is evaluated on simulated precision agriculture data. Next, we introduce a spatial-temporal data simulator, which is an important tool for evaluation of knowledge discovery methods for spatial-temporal domains. Various aspects of the proposed data generator are discussed, including generation of features and simulation of response variable as well as a practical implementation of the proposed method and its application on experiments with simulated data. The

  7. [Osteopenia in workers engaged into mining industry].

    Science.gov (United States)

    Kudasheva, A R; Iakupov, R R

    2011-01-01

    The study was aimed to evaluate prevalence of osteopenia in miners engaged into deep-mined output of copper-zinc pyrite. The examinees were 130 males with clinical manifestations of bone and joint disorders, including 85 drifters engaged into underground mining (main group) and 45 individuals of surface occupations. Hazardous work conditions (4 degree of 3 class) cause in workers engaged into deep-mined output of copper-zinc pyrite risk of osteopenia that is more prevalent than in the surface occupations workers and is highly related with the occupation.

  8. Data Mining and Statistics for Decision Making

    CERN Document Server

    Tufféry, Stéphane

    2011-01-01

    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized lin

  9. Geotechnical applications of geophysics in coal mining

    Energy Technology Data Exchange (ETDEWEB)

    Hatherly, P. [CMTE/CSIRO Exploration and Mining, North Ryde, NSW (Australia)

    2002-07-01

    In coal mining, geophysical techniques have an established application in determining the location of seam boundaries ahead of the face so that underground mines can be planned to avoid any geological structures that might disrupt production. Geophysics can also be used in geotechnical studies to determine the in situ properties of the rock mass and the response of the rock mass to the mining. The use of geophysical logs and microseismic monitoring in these geotechnical applications are discussed in this paper. 16 refs., 4 figs.

  10. America’s Use of Sea Mines

    Science.gov (United States)

    1962-01-01

    Defensive Fields The Army laid the first U.S. mines in World War II. As early as Febru- ary 1941 it laid defense fields near Balboa and Cristobal where a...NARRACANSETT BAT NEi YORK \\ CHESAPEAKE BAT V CRISTOBAL - BALBOA PORTSMOUTH y%—^ Figur« 49.—Th« Army’s dtftntiv« inin«fl«ldt. 19 mines por day...hundred magnetic mines in the approaches to Singapoie, Saigon and Camranh Kay , and the minefields were replenished in February and March. After

  11. Role of Data mining in Insurance Industry

    Directory of Open Access Journals (Sweden)

    K. Umamaheswari

    2014-06-01

    Full Text Available n the global era, Insurance systems rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand of insurance increased. Data mining helps insurance firms to discovery useful patterns from the customer database. The purpose of the paper aims to present how data mining is useful in the insurance industry, how its techniques produce good results in insurance sector and how data mining enhance in decision making using insurance data. The conceptual paper is written based on secondary study, observation from various journals, magazines and reports.

  12. Role of Data mining in Insurance Industry

    Directory of Open Access Journals (Sweden)

    K. Umamaheswari

    2015-11-01

    Full Text Available In the global era, Insurance systems rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand of insurance increased. Data mining helps insurance firms to discovery useful patterns from the customer database. The purpose of the paper aims to present how data mining is useful in the insurance industry, how its techniques produce good results in insurance sector and how data mining enhance in decision making using insurance data. The conceptual paper is written based on secondary study, observation from various journals, magazines and reports.

  13. How CSIR research aids mining industry

    Energy Technology Data Exchange (ETDEWEB)

    Vorster, H.

    1987-04-01

    The paper outlines supporting services to mining by the Council for Scientific and Industrial Research (CSIR) in South Africa. At present three CSIR institutes are actively involved in the programme of the Coal Mining Research Controlling Council (CMRCC). The use of an ultra-modern blasting tunnel to determine the explosive characteristics of South African coal types is considered as well as investigations to determine the influence of strata conditions on the behaviour of different types of roof bolts. The work of the Strength Mechanics Division in checking design and cause of structural failures of mining equipment and the modernization of the coal preparation research plant is described.

  14. Web Page Recommendation Using Web Mining

    Directory of Open Access Journals (Sweden)

    Modraj Bhavsar

    2014-07-01

    Full Text Available On World Wide Web various kind of content are generated in huge amount, so to give relevant result to user web recommendation become important part of web application. On web different kind of web recommendation are made available to user every day that includes Image, Video, Audio, query suggestion and web page. In this paper we are aiming at providing framework for web page recommendation. 1 First we describe the basics of web mining, types of web mining. 2 Details of each web mining technique.3We propose the architecture for the personalized web page recommendation.

  15. Two Kinds of Nontraditional Mining Technology

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The nontraditional mining industry is an important part of nontraditional mineral resources projects. It is a new mining industry focusing on the application of new science and technology,producing high value-added outputs, offering comprehensive services, protecting the environment and saving energy sources. This paper discusses main principles of two kinds of nontraditional miming technology: the drilling hydraulic fracturing and drilling hydraulic mining applied to the coalbed methane production. Furthermore, this paper introduces the characteristics and application of these two kinds of technology.

  16. Abandoned Mine Waste Working Group report

    Energy Technology Data Exchange (ETDEWEB)

    1993-12-10

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

  17. Electrodialytic remediation of suspended mine tailings

    DEFF Research Database (Denmark)

    Hansen, Henrik K.; Rojo, Adrian; Pino, Denisse;

    2008-01-01

    This work shows the laboratory results of nine electrodialytic remediation experiments on copper mine tailings. A newly designed remediation cell, where the solids were kept in suspension by airflow, was tested. The results show that electric current could remove copper from suspended tailings...... experiment at 40 mA, with approximately 137.5 g mine tailings on dry basis. The removal for a static (baseline) experiment only amounted 15% when passing approximately the same amount of charge through 130 g of mine tailings. The use of air bubbling to keep the tailings suspended increased the removal...

  18. ANALYSIS OF WEB MINING APPLICATIONS AND BENEFICIAL AREAS

    Directory of Open Access Journals (Sweden)

    Khaleel Ahmad

    2011-10-01

    Full Text Available The main purpose of this paper is to study the process of Web mining techniques, features, application ( e-commerce and e-business and its beneficial areas. Web mining has become more popular and its widely used in varies application areas (such as business intelligent system, e-commerce and e-business. The e-commerce or e-business results are bettered by the application of the mining techniques such as data mining and text mining, among all the mining techniques web mining is better.

  19. CSIR Division of Mining Technology annual review 1993/94

    Energy Technology Data Exchange (ETDEWEB)

    1994-01-01

    The Division of Mining Technology of the CSIR (Council for Scientific and Industrial Research) works in partnership with the mining industry to solve problems threatening the health, safety and well-being of the workforce, and the productivity of mining operations through the development and implementation of knowledge and technology. The annual review describes the Division's research projects in the following field: rock engineering (for gold, platinum and coal mining); mining environment; occupational hygiene; surface environment; and mining equipment and systems (systems and equipment, orebody information, coal mining and causes of accidents). Details are also given of the Division's publications, research and consultancy services and information centre.

  20. Proceedings of the twenty-third annual British Columbia mine reclamation symposium: mine decommissioning

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-09-01

    The symposium covered a spectrum of reclamation issues relevant to mining in British Columbia. The proceedings contain the twenty-one technical papers presented and a report by the awards subcommittee concerning citations awarded. Papers are included on native species in reclamation, bat conservation, biological removal of selenium, wetland cells for removing heavy metals leachates, end land use plan for a copper mine, environmental projects at Fording Coal, reclamation at a nickel plate tailings facility, forestry for end use, contaminated site legislation, compliance, environmental management considerations, acid rock drainage prediction, granular cover system for tailings management, long-term management of tailings and tailings dams at decommissioned mining properties, mine subsidence risk management, reclaiming subsidence in abandoned mining areas, and reclamation of mine openings. Two papers are abstracted separately.

  1. Study of monitoring mining subsidence in coal mining area by D-InSAR technology

    Institute of Scientific and Technical Information of China (English)

    PEI Liang; LI Wen-jie; TAN Yang

    2008-01-01

    Along with the increasing demand for coal and the great importance attached to mine safety,gaining the information of mine surface distortion timely has already become an urgent need to guarantee the safety of mine production.D-InSAR technology is a new measure which can provide the information of surface distortion in mining areas at centimeter level through the processing of SAR image gained from radar satellite.In addition,this technology has the advantage of monitoring large areas with no weather limit.Introduced the basic principle and data processing steps of D-InSAR systematically and acquired the differential interferometry based on case study data.The advantages of D-InSAR and it's usability in monitoring mining subsidence in coal mining areas were proved.

  2. Study of monitoring mining subsidence in coal mining area by D-InSAR technology

    Institute of Scientific and Technical Information of China (English)

    PEI Liang; LI Wen-jie; TAN Yang

    2008-01-01

    Along with the increasing demand for coal and the great importance attached to mine safety, gaining the information of mine surface distortion timely has already become an urgent need to guarantee the safety of mine production. D-InSAR technology is a new measure which can provide the information of surface distortion in mining areas at centi-meter level through the processing of SAR image gained from radar satellite. In addition, this technology has the advantage of monitoring large areas with no weather limit. Intro-duced the basic principle and data processing steps of D-InSAR systematically and ac-quired the differential interferometry based on case study data. The advantages of D-InSAR and it's usability in monitoring mining subsidence in coal mining areas were proved.

  3. Development trends of machines and equipment for mine haulage in black coal mines

    Energy Technology Data Exchange (ETDEWEB)

    Dembinski, C.; Gorol, S.; Janik, E.; Kotlarski, S.; Kowal, J.; Zeifert, S.

    1976-01-01

    This paper discusses development of equipment for mine haulage in underground black coal mines in Poland. Equipment type, selected aspects of its design, specifications, productivity and reliability are evaluated. The following equipment types are reviewed: chain conveyors (Rybnik-73, Samson, Supersamson, Supergrot), belt conveyors (Gwarek), mine cars (Granby mine cars with a capacity of 5.1 m/sup 3/), mine locomotives (with electric batteries, electric or pneumatic motors or diesel engines), equipment for railway track repair and maintenance, automatic systems for traffic control in underground mines, coal hoppers, coal handling systems for coal hoppers. Equipment developed in Poland since 1970 is discussed. Recommendations for research programs on haulage equipment and coal hoppers are made. 8 refs.

  4. Measuring Transport Time of Mine Equipment in an Underground Mine Using a Bluetooth Beacon System

    Directory of Open Access Journals (Sweden)

    Jihoo Jung

    2016-12-01

    Full Text Available In this study, the time taken for mine haulage equipment to travel between destinations in an underground mine was measured and analyzed using a Bluetooth beacon system. In this system, Bluetooth beacons are attached to multiple points in an underground mine environment, and smartphones are mounted on mine equipment, such as haulage trucks, to collect transport time data. An underground limestone mine in Korea was selected to test the Bluetooth beacon system. The field experiments indicated that smartphones mounted on haulage trucks can recognize all Bluetooth beacons installed in the vicinity. The results also revealed that the Bluetooth beacon system can be used successfully in underground mines to quantitatively analyze transport times of haulage trucks going back and forth between loading and dumping points.

  5. Numerical Simulation of Squeezing Failure in a Coal Mine Roadway due to Mining-Induced Stresses

    Science.gov (United States)

    Gao, Fuqiang; Stead, Doug; Kang, Hongpu

    2015-07-01

    Squeezing failure is a common failure mechanism experienced in underground coal mine roadways due mainly to mining-induced stresses, which are much higher than the strength of rock mass surrounding an entry. In this study, numerical simulation was carried out to investigate the mechanisms of roadway squeezing using a novel UDEC Trigon approach. A numerical roadway model was created based on a case study at the Zhangcun coal mine in China. Coal extraction using the longwall mining method was simulated in the model with calculation of the mining-induced stresses. The process of roadway squeezing under severe mining-induced stresses was realistically captured in the model. Deformation phenomena observed in field, including roof sag, wall convexity and failed rock bolts are realistically produced in the UDEC Trigon model.

  6. Potential for mine water reuse in an abandoned coal mine in northern Spain

    Energy Technology Data Exchange (ETDEWEB)

    Marques, A.; Garcia-Ordiales, E.; Loredo, J. [Oviedo Univ., Asturias (Spain)

    2010-07-01

    This paper investigated the potential re-utilization of mine water in industrial activities. Mine water characterization studies were conducted to evaluate mine waters from the abandoned La Camocha Mine in northwestern Spain. Hydrochemical studies have indicated that the water is bicarbonated with a low sulphate and iron content, and a neutral pH. The concentrations of trace metals are below water legislation for human consumption levels. The water can economically be transported for use in the irrigation of a botanical garden and sports centre located in the same region as the mine. Use of the water will help to preserve rivers and other waterways in the region, and may also minimize the environmental impacts of pumping activities at the mine. Fluid properties for various water samples were provided. 6 refs., 1 tab., 3 figs.

  7. Developments of spatial information-based Digital Mine in China

    Institute of Scientific and Technical Information of China (English)

    WU Li-xin; CHE De-fu

    2008-01-01

    Gave a brief introduction to the origin, concepted and hierarchical structure ofDigital Mine. As a huge complex system, Digital Mine took data base and model base to-gether as a mine data management system being its core, and Digital Mine was com-prised of five subsystems including data obtaining system, integral dispatching system,applied engineering system, data processing system, and data management system. Be-ing a digitally 3D visualized representation and a spatial information infrastructure of anactual mine, Digital Mine had three basic features such as data warehouse, informationreference and digital platform. The present developments of Digital Mine in mining industry,research and education were also introduced. Examples were shown for present DigitalMine construction in China. The development trends, the key technologies and the recentconstruction procedures on Digital Mine were presented.

  8. Theory of and Method for Nontraditional Mining Assessment

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    @@NONTRADITIONAL MINING ASSESSMENT THEORY Nontraditional Mineral Resources Nontraditional mineral resources refers to the potential mineral resources that are ignored, undiscovered and unutilized under present technical, economic and environmental conditions. This research scope can be listed as follows: (1)Nontraditional mineral resources refer to new types, new depths, new scopes, new techniques and new utilization. (2)Nontraditional theories and methods include new theories,new technologies and new methods in the aspects of ore-forming, prospecting, mining, metallurgy and mining assessment such as nontraditional ore-forming predication. (3) Nontraditional mining refers to the types of clean and unpolluted mining, intensive mining, high value-added mining, high technology mining, post-mining economy and comprehensive service mining.

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

    OpenAIRE

    2014-01-01

    Increasing global demand for metals is straining the ability of the mining industry to physically keep up with demand (physical scarcity). On the other hand, social issues including the environmental and human health consequences of mining as well as the disparity in income distribution from mining revenues are disproportionately felt at the local community level. This has created social rifts, particularly in the developing world, between affected communities and both industry and government...

  10. Technological Measurement in the Mining Industry in Relation to Environmentally Friendly Mining

    OpenAIRE

    atuegbu, chukwunwike edwin

    2011-01-01

    The purpose of this thesis is to discuss in detail the significance of technology trends to the mining industry. Technological measurement in the mining industry in relation to environmentally friendly mining is examined. The main research question seeks to find out how technologies have transformed the face of the environment and future potentials. The methodology employed in the study, scope and the importance of the research are discussed. The present study has attempted to prove that...

  11. Development discourses at the mining frontier: Buen Vivir and the contested mine of El Mirador in Ecuador

    NARCIS (Netherlands)

    van Teijlingen, K.; Hogenboom, B.

    2014-01-01

    In Ecuador, the recent introduction of mineral mining led to a conflictive debate on mining and evelopment, particularly Buen Vivir. This article examines the discourses on the mining-development nexus articulated in the conflict around the first large-scale mine of Ecuador, El Mirador. The findings

  12. The mining industry of the 21st century

    OpenAIRE

    2014-01-01

    The mining industry has been a significant contributor to the South African economy for over 100 years and it currently contributes 18% to the economy. The richest city in Africa, the City of Johannesburg was built on the backbone of the mining industry. If the mining industry was to collapse, the South African economy will trail behind Nigeria. One distinguishing factor about the Mining Industry in South Africa is that it relies quite extensively on labour. In this regard, the mining industr...

  13. Research on mechanism of mountain landslide due to underground mining

    Institute of Scientific and Technical Information of China (English)

    TANG Fu-quan

    2009-01-01

    The basics of mining landslides were first summed up based on the analysis of actual materials by the application of mining subsidence and landslide theories. Further,the mechanism of along-layer landslide by mining was studied with the example of the Xiangshan mining landslide at Hancheng, Shaanxi Province. Meanwhile, the state of stress, and the mechanism of deformation and destruction of the Xiangshan mining slope were analyzed by the Finite Element Method.

  14. Financing and risk management of investments in mining sector

    OpenAIRE

    Hashemi, Seyedmajid

    2013-01-01

    ABSTRACT: This study aims for investigating the process of mining investments and calculating the level of risk to which mining companies are exposed. As a mining firm gets involved in a project, there are many risks to be assessed including environmental, social and reputational risks. Therefore, the presence of a sustainable development framework in the mining sector helps to consider all dimensions of mining projects in order to mitigate the risk exposure. As undeveloped mineral resour...

  15. TENDENCY OF APPLYING LHD MEHANIZATION IN MINING WORKINGS

    Directory of Open Access Journals (Sweden)

    Vladimir Rendulić

    1995-12-01

    Full Text Available Changed working conditions in deep mining workings (underground rooms of a mine havc lead, by application of diesel driven mechanization to the tendency of introducing the eleetric LHD machines in mines. However, although the flexibilily of electric mining machines has been improved due to the efforts of factories producing mining machines, the diesel units are still more flexible in application, although their maintenance in pit drives is more exspensive (the paper is published in Croatian.

  16. Application of Remote Sensing Technology in Mine Environment Monitoring

    Directory of Open Access Journals (Sweden)

    Li Yue

    2015-01-01

    Full Text Available Mine environment problem caused by the exploitation of mineral resources has become a key factor which affects normal production of mine and safety of ecological environment for human settlement. For better protection and management of mine environment, this article has introduced the important role of remote sensing technology in pollution monitoring of mine environment, geological disaster monitoring and monitoring of mining activities.

  17. Study on Environment Characteristics for Mining Management at East Pit 3 West Banko Coal Mine

    OpenAIRE

    Neny Rochyani; Eddy Ibrahim; M. Faizal; Ngudiantoro Ngudiantoro

    2014-01-01

    The management on mining environment is closely related to the environmental characteristics and the condition of mining itself.  In East PIT 3 West Banko Coal Mine Tanjung Enim mine drainage system has been developed which refers to the open pit method employed by the company. The observation and analysis showed that the sludge settling ponds have been constructed as well as adequate catchment area. To discharge water into the channel at 0.3016 m 3 / sec can still be accommodated due to the ...

  18. Acid Mine Drainage and Heavy Metal Pollution from Solid Waste in the Tongling Mines, China

    Institute of Scientific and Technical Information of China (English)

    XU Xiaochun; XIE Qiaoqin; CHEN Fang; WANG Jun; WU Wentao

    2008-01-01

    Based on investigation of the characteristics of solid waste of two different mines, the Fenghuangshan copper mine and the Xinqiao pyrite mine in Tongling, Anhui province in central-east China, the possibility and the differences of acid mine drainage (AMD) of the tailings and the waste rocks are discussed, and the modes of occurrence of heavy metal elements in the mine solid waste are also studied. The Fenghuangshan copper mine hardly produces AMD, whereas the Xinqiao pyrite mine does and there are also differences in the modes of occurrence of heavy metal elements in the tailings. For the former, toxic heavy metals such as Cu, Pb, Zn, Cd, As and Hg exist mostly in the slag mode, as compared to the latter, where the dcoxidization mode has a much higher content, indicating that large amounts minerals in the waste rocks have begun to oxidize at the earth surface. AMD is proved to promote the migration and spread of the heavy metals in mining waste rocks and lead to environmental pollution of the surroundings of the mine area.

  19. Optimum mining method selection using fuzzy analytical hierarchy process-Qapiliq salt mine, Iran

    Institute of Scientific and Technical Information of China (English)

    Karimnia Hamed; Bagloo Heydar

    2015-01-01

    Mining method selection is the first and the most critical problem in mine design and depends on some parameters such as geotechnical and geological features and economic and geographic factors. In this paper, the factors affecting mining method selection are determined. These factors include shape, thick-ness, depth, slope, RMR and RSS of the orebody, RMR and RSS of the hanging wall and footwall. Then, the priorities of these factors are calculated. In order to calculate the priorities of factors and select the best mining method for Qapiliq salt mine, Iran, based on these priorities, fuzzy analytical hierarchy process (AHP) technique is used. For this purpose, a questionnaire was prepared and was given to the associated experts. Finally, after a comparison carried out based on the effective factors, between the four mining methods including area mining, room and pillar, cut and fill and stope and pillar methods, the stope and pillar mining method was selected as the most suitable method to this mine.

  20. Reformulating the calculation of mining privileges for medium and large mining

    Directory of Open Access Journals (Sweden)

    Pedro Franco Concha

    2016-01-01

    Full Text Available Throughout this paper those technical and accounting concepts of the Law of mining privileges that generate ambiguity and incongruity for businesses has been analyzed and identified. For this reason, we have developed a proposal amending the calculation of mining privileges based on two main aspects: (i terminology used in the law and (ii establishment of income before retribution to stakholders and taxes as a basis for calculating privileges. As a result, it was established as an object of study for all mining companies paying privileges; however, for purposes of the investigation three representative mining companies of medium and large mining were selected. Later interviews were arranged with financial and tax managers of the companies mentioned above as well as experts in the field of mining privileges; it was concluded that the concepts of "cost" and "corresponding fiscal year" mentioned in the Law generated ambiguities, inconsistencies and accounting distortions. Also, mining companies and experts agreed that the current basis for the calculation of the privileges is not adequate for the mining sector since it does not reflect the financial situation of companies. Therefore, a proposal for reformulation of the applied priviously and a new basis for calculating the mining privileges based on the cost of sales is made; since, in the cost of sales is found what Kieso and Weygandt (1999 denominated as "the price paid for the right to seek and find a hidden Natural resources, or paid by a source already discovered"

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

    Science.gov (United States)

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

    2014-01-01

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

  2. Rare earth element mines, deposits, and occurrences

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset contains location, geologic and mineral economic data for world rare earth mines, deposits, and occurrences. The data in this compilation were derived...

  3. IT Data Mining Tool Uses in Aerospace

    Science.gov (United States)

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

    2012-01-01

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

  4. Robust processing of mining subsidence monitoring data

    Energy Technology Data Exchange (ETDEWEB)

    Wang Mingzhong; Huang Guogang [Pingdingshan Mining Bureau (China); Wang Yunjia; Guogangli [China Univ. of Mining and Technology, Xuzhou (China)

    1996-12-31

    Since China began to do research on mining subsidence in 1950s, more than one thousand lines have been observed. Yet, monitoring data sometimes contain quite a lot of outliers because of the limit of observation and geological mining conditions. In China, nowdays, the method of processing mining subsidence monitoring data is based on the principle of the least square method. It is possible to produce lower accuracy, less reliability, or even errors. For reason given above, the authors, according to Chinese actual situation, have done some research work on the robust processing of mining subsidence monitoring data in respect of how to get prediction parameters. The authors have derived related formulas, designed some computational programmes, done a great quantity of actual calculation and simulation, and achieved good results. (orig.)

  5. 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.

  6. Association Rule Mining for Web Recommendation

    Directory of Open Access Journals (Sweden)

    R. Suguna

    2012-10-01

    Full Text Available Web usage mining is the application of web mining to discover the useful patterns from the web in order to understand and analyze the behavior of the web users and web based applications. It is theemerging research trend for today’s researchers. It entirely deals with web log files which contain the user website access information. It is an interesting thing to analyze and understand the user behaviorabout the web access. Web usage mining normally has three categories: 1. Preprocessing, 2. Pattern Discovery and 3. Pattern Analysis. This paper proposes the association rule mining algorithms for betterWeb Recommendation and Web Personalization. Web recommendation systems are considered as an important role to understand customers’ behavior, interest, improving customer convenience, increasingservice provider profits and future needs.

  7. Coal Mines, Abandoned - AML Points Feature

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This data set portrays the approximate location of Abandoned Mine Land Problem Areas containing public health, safety, and public welfare problems created by past...

  8. Coal Mines, Abandoned - AML Polygons Feature

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This data set portrays the approximate location of Abandoned Mine Land Problem Areas containing public health, safety, and public welfare problems created by past...

  9. Fuelcell-Hybrid Mine loader (LHD)

    Energy Technology Data Exchange (ETDEWEB)

    James L Dippo; Tim Erikson; Kris Hess

    2009-07-10

    The fuel cell hybrid mine loader project, sponsored by a government-industry consortium, was implemented to determine the viability of proton exchange membrane (PEM) fuel cells in underground mining applications. The Department of Energy (DOE) sponsored this project with cost-share support from industry. The project had three main goals: (1) to develop a mine loader powered by a fuel cell, (2) to develop associated metal-hydride storage and refueling systems, and (3) to demonstrate the fuel cell hybrid loader in an underground mine in Nevada. The investigation of a zero-emissions fuel cell power plant, the safe storage of hydrogen, worker health advantages (over the negative health effects associated with exposure to diesel emissions), and lower operating costs are all key objectives for this project.

  10. Analysis of Bitcoin Pooled Mining Reward Systems

    CERN Document Server

    Rosenfeld, Meni

    2011-01-01

    In this paper we describe the various scoring systems used to calculate rewards of participants in Bitcoin pooled mining, explain the problems each were designed to solve and analyze their respective advantages and disadvantages.

  11. DATA MINING THE GALAXY ZOO MERGERS

    Data.gov (United States)

    National Aeronautics and Space Administration — DATA MINING THE GALAXY ZOO MERGERS STEVEN BAEHR, ARUN VEDACHALAM, KIRK BORNE, AND DANIEL SPONSELLER Abstract. Collisions between pairs of galaxies usually end in the...

  12. Mining e-commerce goes mainstream

    Energy Technology Data Exchange (ETDEWEB)

    Carter, R.A.

    2002-11-01

    E-activity is growing as coal industry producers and suppliers map out the most useful routes to the digital marketplace. The paper analyses the development of E-commerce in mining and coal industry. 2 figs.

  13. Coal mines around Accrington and Blackburn

    Energy Technology Data Exchange (ETDEWEB)

    Nadin, J.

    1999-12-01

    A companion to an earlier book on 'The coal-mines of East Lancashire', this volume covers coal mining in the townships of Church, Accrington, Oswaldthistle, Baxenden, Blackburn and Lower and Over Darmen, which are to the west. After a short history of the mining companies George Hargreaves & Co., and Simpson & Young, the book gives short historical accounts of all known coalmines, arranged in alphabetical order. It gives copious accounts of accidents and injuries in the pits, to both men and young children. The text and plates give an interesting insight into an area where coal mining goes back at least to the 15th century. Large scale extraction began at the turn of the 19th century. Many articles are reproduced from the local newspapers. An index of personnel names mentioned is included. 19 refs., 30 figs., 23 plates.

  14. Evaluation of the Kloswall longwall mining system

    Science.gov (United States)

    Guay, P. J.

    1982-04-01

    A new longwal mining system specifically designed to extract a very deep web (48 inches or deeper) from a longwall panel was studied. Productivity and cost analysis comparing the new mining system with a conventional longwall operation taking a 30 inch wide web is presented. It is shown that the new system will increase annual production and return on investment in most cases. Conceptual drawings and specifications for a high capacity three drum shearer and a unique shield type of roof support specifically designed for very wide web operation are reported. The advantages and problems associated with wide web mining in general and as they relate specifically to the equipment selected for the new mining system are discussed.

  15. The physics of mining in space

    Science.gov (United States)

    Raafat, Kian; Burnett, J. A.; Chapman, Thomas; Cockell, Charles S.

    2013-10-01

    Asteroids and planets are potentially valuable mineral resources, but finding and exploiting them will be a challenge. Kian Raafat, Jordan Burnett, Thomas Chapman and Charles S Cockell ask: what's different about mining off Earth?

  16. Spatiotemporal Data Mining: Issues, Tasks And Applications

    Directory of Open Access Journals (Sweden)

    K.Venkateswara Rao

    2012-03-01

    Full Text Available Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time. Vast amount of spatiotemporal data can be found in several application fields such as trafficmanagement, environment monitoring, and weather forecast. These datasets might be collected at different locations at various points of time in different formats. It poses many challenges in representing, processing, analysis and mining of such datasets due to complex structure of spatiotemporal objects and the relationships among them in both spatial and temporal dimensions. In this paper, the issues and challenges related to spatiotemporal data representation, analysis, mining and visualization of knowledge are presented. Various kinds of data mining tasks such as association rules, classification clustering for discovering knowledge from spatiotemporal datasets are examined and reviewed. System functional requirements for such kind of knowledge discovery and database structure are discussed. Finally applications of spatiotemporal data mining are presented.

  17. Coal Mines, Abandoned - AML Inventory Sites 201601

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This data set portrays the approximate location of Abandoned Mine Land Problem Areas containing public health, safety, and public welfare problems created by past...

  18. 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...

  19. Technological challenges for manganese nodule mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    of an environmentally 'safe' mining system that would cause least possible damage through disturbance at the seabed, discharge at the surface and in the water column is another important consideration from conservation point of view. Collectors with a facility...

  20. Numerical linear algebra in data mining

    Science.gov (United States)

    Eldén, Lars

    Ideas and algorithms from numerical linear algebra are important in several areas of data mining. We give an overview of linear algebra methods in text mining (information retrieval), pattern recognition (classification of handwritten digits), and PageRank computations for web search engines. The emphasis is on rank reduction as a method of extracting information from a data matrix, low-rank approximation of matrices using the singular value decomposition and clustering, and on eigenvalue methods for network analysis.

  1. MINING IN ECONOMY OF REPUBLIC OF CROATIA

    OpenAIRE

    Željko Matiša

    1996-01-01

    Croatia is not especially rich in mineral ore resources, and therefore it cannot be included into "mining countries". Nevertheless since exploitation of mineral resources is a primary activity in economy of any country, mining in Croatia is given a great significance. In Croatia, research and exploitation of oil and gas is considered to be the most significant. Exploitation of mineral resources for production of metals is negligable, while esploitation of non-metals satisfies the majority ...

  2. Data Mining on Social Interaction Networks

    OpenAIRE

    Atzmueller, Martin

    2013-01-01

    Social media and social networks have already woven themselves into the very fabric of everyday life. This results in a dramatic increase of social data capturing various relations between the users and their associated artifacts, both in online networks and the real world using ubiquitous devices. In this work, we consider social interaction networks from a data mining perspective - also with a special focus on real-world face-to-face contact networks: We combine data mining and social netwo...

  3. Data mining and business analytics with R

    CERN Document Server

    Ledolter, Johannes

    2013-01-01

    Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining

  4. Sea Mines and Countermeasures: A Bibliography. Revision

    Science.gov (United States)

    2007-07-01

    Mines, Part II” IN OCEANS 2006, Boston, MA, September 2006. Castelin, Stephen F. and Philip Bernstein . “A Notional Scenario for the Use of...Hubert. Naval Warfare Today and Tomorrow. Oxford, Eng.: Basil Blackwell, 1983. 141p. DKL V 163 .M6413 1983 GENERAL Molitoris, Joseph J. “New...Jane, and Gordon Bruce. Flying, Submarining and Mine Sweeping. London: Sir J. Causton and Sons, 1916. 36p. Aponick, Tony and Chuck Bernstein

  5. Challenges in computational statistics and data mining

    CERN Document Server

    Mielniczuk, Jan

    2016-01-01

    This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.

  6. Educational Data Mining & Students’ Performance Prediction

    OpenAIRE

    Amjad Abu Saa

    2016-01-01

    It is important to study and analyse educational data especially students’ performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. This study is equally concerned with this subject, specifically, the students’ performance. This study explores multiple factors theoretically assumed to affect students’ performance in higher education, and finds a qualitative model which b...

  7. Electrodialytic Remediation of Copper Mine Tailings

    DEFF Research Database (Denmark)

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

    2012-01-01

    This work compares and evaluates sixteen electrodialytic laboratory remediation experiments on copper mine tailings. Different parameters were analysed, such as remediation time, addition of desorbing agents, and the use of pulsed electrical fields.......This work compares and evaluates sixteen electrodialytic laboratory remediation experiments on copper mine tailings. Different parameters were analysed, such as remediation time, addition of desorbing agents, and the use of pulsed electrical fields....

  8. Data Mining Concepts with Customer Relationship Management

    Directory of Open Access Journals (Sweden)

    Mubeena Shaik,

    2014-07-01

    Full Text Available Data mining is important in creating a great experience at e-business. Data mining is the systematic way of extracting information from data. Many of the companies are developing an online internet presence to sell or promote their products and services. Most of the internet users are aware of on-line shopping concepts and techniques to own a product. The e-commerce landscape is the relation between customer relationship management (sales, marketing & support, internet and suppliers.

  9. Environmental studies for deep seabed mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    tests of prototype mining systems and components in the Pacific Ocean in the seventies (DOMES, 1976). The subsequent progress in the development of mining technology for deep-sea minerals has been slow since 1980 due to unfavorable metal market... assume instead, because commercial system size and type are likely different depending upon the use of nodule elements and can vary with metal market situation. 2. How do we generalize the test parameters from the tow-sled collector and miner...

  10. Energizing the future of Prairie Mines

    Energy Technology Data Exchange (ETDEWEB)

    Chen, C.

    2006-09-15

    In May 2006, Luscar Ltd. became Prairie Mines & Royalty Ltd. The production for 2005 was 37 million tonnes of coal (94 per cent of Canada's thermal coal production). Prairie Coal has improved the safety, mine planning, and maintenance programmes, replaced much of the equipment, and started to standardize equipment by size and type. Productivity has been improved by 25 percent during the past three years. Reclamation, including a considerable backlog, is considered to be of high priority. 2 photos.

  11. Antimicrobials of Bacillus species: mining and engineering

    OpenAIRE

    Zhao, Xin

    2016-01-01

    Bacillus sp. have been successfully used to suppress various bacterial and fungal pathogens. Due to the wide availability of whole genome sequence data and the development of genome mining tools, novel antimicrobials are being discovered and updated,;not only bacteriocins, but also NRPs and PKs. A new classification system of known and putative antimicrobial compounds of Bacillus by genome mining is presented in Chapter 2. Importantly, predicting, isolating and screening of Bacillus strains w...

  12. 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)

  13. Acoustic resonance for nonmetallic mine detection

    Energy Technology Data Exchange (ETDEWEB)

    Kercel, S.W.

    1998-04-01

    The feasibility of acoustic resonance for detection of plastic mines was investigated by researchers at the Oak Ridge National Laboratory`s Instrumentation and Controls Division under an internally funded program. The data reported in this paper suggest that acoustic resonance is not a practical method for mine detection. Representative small plastic anti-personnel mines were tested, and were found to not exhibit detectable acoustic resonances. Also, non-metal objects known to have strong acoustic resonances were tested with a variety of excitation techniques, and no practical non-contact method of exciting a consistently detectable resonance in a buried object was discovered. Some of the experimental data developed in this work may be useful to other researchers seeking a method to detect buried plastic mines. A number of excitation methods and their pitfalls are discussed. Excitation methods that were investigated include swept acoustic, chopped acoustic, wavelet acoustic, and mechanical shaking. Under very contrived conditions, a weak response that could be attributed to acoustic resonance was observed, but it does not appear to be practical as a mine detection feature. Transfer properties of soil were investigated. Impulse responses of several representative plastic mines were investigated. Acoustic leakage coupling, and its implications as a disruptive mechanism were investigated.

  14. Sustainable mining, local communities and environmental regulation

    Directory of Open Access Journals (Sweden)

    Kokko Kai

    2015-12-01

    Full Text Available Sustainable mining is an objective as well as a tool for balancing economic, social, and environmental considerations. Each of these three dimensions of mining – and sustainable development – has many components, some of which were chosen for closer study in the SUMILCERE project. While there is no single component that in itself provides a definitive argument for or against sustainable mining, the research reveals some that have proven valuable in the process of balancing the different dimensions of sustainability. In the SUMILCERE project, comparative studies enabled us to identify factors such as the following, which are essential when discussing the balancing in practice of the three dimensions of sustainable mining cited above: the framework and functionality of environmental regulation to protect the environment (environmental sustainability; competitiveness of the mining industry in light of environmental regulation and its enforcement (economic sustainability; public participation and the opportunities local communities have to influence their surroundings, as well as communities’ acceptance of projects (social sustainability before and during operations; and the protection of Sámi cultural rights in mining projects (social and cultural sustainability. Although each of the three dimensions of sustainability leaves room for discretion in the weight assigned to it, ecological sustainability, protected by smart environmental regulation and minimum standards, sets essential boundaries that leave no room for compromises. Economic and social sustainability are possible only within these limits. Details of the analyses in the Kolarctic area and accounts of the methods used can befound in the cited SUMILCERE articles.

  15. Chapter 16: text mining for translational bioinformatics.

    Directory of Open Access Journals (Sweden)

    K Bretonnel Cohen

    2013-04-01

    Full Text Available Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into the category of T1 translational research-translating basic science results into new interventions-and T2 translational research, or translational research for public health. Potential use cases include better phenotyping of research subjects, and pharmacogenomic research. A variety of methods for evaluating text mining applications exist, including corpora, structured test suites, and post hoc judging. Two basic principles of linguistic structure are relevant for building text mining applications. One is that linguistic structure consists of multiple levels. The other is that every level of linguistic structure is characterized by ambiguity. There are two basic approaches to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known as statistical. Many systems are hybrids of the two approaches. Shared tasks have had a strong effect on the direction of the field. Like all translational bioinformatics software, text mining software for translational bioinformatics can be considered health-critical and should be subject to the strictest standards of quality assurance and software testing.

  16. Exploration for the Newlands underground mine

    Energy Technology Data Exchange (ETDEWEB)

    Francis, T. [MIM Holdings Limited, Brisbane, QLD (Australia); Seedsman, R. [Coffey Partners International Ltd., (Australia); Whitby, K. [McElroy Bryan Geological Services Pty Ltd., (Australia); Bowen Basin Geologists Group, QLD (Australia); Geological Society of Australia Inc., Sydney, NSW (Australia)

    1995-10-01

    The Newlands Coal Pty Ltd open cut coal mining operations are located approximately 200 km by road west of Mackay, in Central Queensland. The issues of increasing depth of overburden and limited overburden, coal quality and its impact on yield are effecting the operational costs and future strategies of the mine . The longer term future of Newlands is dependent on the viability of an underground mine down-dip in the main deposit. This paper discusses the exploration programs and how the geological and geotechnical issues have been incorporated into the mine plan. A number of longwall panel layouts were considered giving due respect to the known faults encountered. The current layout has panels which run approximately North-South and average 1800 m in length with a 250 m face width. Panels have been limited in the South by the Ironbark and Blackbutt faults. In the North, the panel lengths are limited by the Ramp 3 fault. Not all faults present will have been located. In order to gain a better understanding of the geology, Newlands plan to extend the exploration underground using a continuous miner and shuttle cars. Mine plans are dynamic and change as additional information comes to hand. The exploration program has emphasized the need for a flexible approach to mine planning. (author). 4 figs.

  17. The Geochemistry of Acid Mine Drainage

    Science.gov (United States)

    Blowes, D. W.; Ptacek, C. J.; Jambor, J. L.; Weisener, C. G.

    2003-12-01

    Mine wastes are the largest volume of materials handled in the world (ICOLD, 1996). The generation of acidic drainage and the release of water containing high concentrations of dissolved metals from these wastes is an environmental problem of international scale. Acidic drainage is caused by the oxidation of sulfide minerals exposed to atmospheric oxygen. Although acid drainage is commonly associated with the extraction and processing of sulfide-bearing metalliferous ore deposits and sulfide-rich coal, acidic drainage can occur wherever sulfide minerals are excavated and exposed to atmospheric oxygen. Engineering projects, including road construction, airport development, and foundation excavation are examples of civil projects that have resulted in the generation of acidic drainage. On United States Forest Service Lands there are (2-5)×104 mines releasing acidic drainage (USDA, 1993). Kleinmann et al. (1991) estimated that more than 6,400 km of rivers and streams in the eastern United States have been adversely affected by mine-drainage water. About (0.8-1.6)×104 km of streams have been affected by metal mining in the western United States. The annual worldwide production of mine wastes exceeded 4.5 Gt in 1982 (ICOLD, 1996). Estimated costs for remediating mine wastes internationally total in the tens of billions of dollars ( Feasby et al.,1991).

  18. Perspectives of mine haulage by locomotives

    Energy Technology Data Exchange (ETDEWEB)

    Palant, G.Ya.; Kravchinskii, S.Yu.; Kreimer, E.L.

    1983-09-01

    Discussed is use of electric locomotives for coal and rock haulage in underground mining. Mine haulage by locomotives with electric batteries and by locomotives with inductive transmission of high frequency electromagnetic energy from the overhead system is comparatively evaluated. Principles of inductive transmission of electromagnetic energy from the overhead system to a locomotive are analyzed. Design of a power system with transformer stations which transform three-phase 50 Hz electric current into 5,000 Hz single-phase current is given. An experimental unit of the V-14-900 electric locomotive developed by Dongiprouglemash (with inductive transmission of the single-phase 5,000 Hz current) successfully tested in some coal mines is described. Performance of the locomotive in the IM. Lenin coal mine is analyzed. Effects of replacing conventional locomotives equipped with electric batteries with V-14-900 locomotives are evaluated: capacity of mine haulage system, energy consumption, reliability, etc. Effects of thyristor controlled systems on mine haulage by V-14-900 locomotives are also discussed.

  19. Substructure mining using elaborate chemical representation.

    Science.gov (United States)

    Kazius, Jeroen; Nijssen, Siegfried; Kok, Joost; Bäck, Thomas; Ijzerman, Adriaan P

    2006-01-01

    Substructure mining algorithms are important drug discovery tools since they can find substructures that affect physicochemical and biological properties. Current methods, however, only consider a part of all chemical information that is present within a data set of compounds. Therefore, the overall aim of our study was to enable more exhaustive data mining by designing methods that detect all substructures of any size, shape, and level of chemical detail. A means of chemical representation was developed that uses atomic hierarchies, thus enabling substructure mining to consider general and/or highly specific features. As a proof-of-concept, the efficient, multipurpose graph mining system Gaston learned substructures of any size and shape from a mutagenicity data set that was represented in this manner. From these substructures, we extracted a set of only six nonredundant, discriminative substructures that represent relevant biochemical knowledge. Our results demonstrate the individual and synergistic importance of elaborate chemical representation and mining for nonlinear substructures. We conclude that the combination of elaborate chemical representation and Gaston provides an excellent method for 2D substructure mining as this recipe systematically explores all substructures in different levels of chemical detail.

  20. Process mining in healthcare: A literature review.

    Science.gov (United States)

    Rojas, Eric; Munoz-Gama, Jorge; Sepúlveda, Marcos; Capurro, Daniel

    2016-06-01

    Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to analyze executed processes. In the healthcare domain, process mining has been used in different case studies, with promising results. Accordingly, we have conducted a literature review of the usage of process mining in healthcare. The scope of this review covers 74 papers with associated case studies, all of which were analyzed according to eleven main aspects, including: process and data types; frequently posed questions; process mining techniques, perspectives and tools; methodologies; implementation and analysis strategies; geographical analysis; and medical fields. The most commonly used categories and emerging topics have been identified, as well as future trends, such as enhancing Hospital Information Systems to become process-aware. This review can: (i) provide a useful overview of the current work being undertaken in this field; (ii) help researchers to choose process mining algorithms, techniques, tools, methodologies and approaches for their own applications; and (iii) highlight the use of process mining to improve healthcare processes.

  1. Issues in Data Mining and Information Retrieval

    Directory of Open Access Journals (Sweden)

    Ammar Yassir

    2012-02-01

    Full Text Available Data mining, as we use the term, is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. For the purposes of this book, we assume that the goal of data mining is to allow a corporation to improve its marketing, sales, and customer support operations through a better understanding of its customers. Keep in mind, however, that the data mining techniques and tools described here are equally applicable in fields ranging from law enforcement to radio astronomy, medicine, and industrial process control. In fact, hardly any of the data mining algorithms were first invented with commercial applications in mind. The commercial data miner employs a grab bag of techniques borrowed from statistics, computer science, and machine learning research. The choice of a particular combination of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner. Data mining is largely concerned with building models. A model is simply an algorithm or set of rules that connects a collection of inputs (often in the form of fields in a corporate database to a particular target or outcome

  2. Sustainable mining management; Gestion minera sostenible

    Energy Technology Data Exchange (ETDEWEB)

    Tejera Oliver, J. L.

    2009-07-01

    Mining activities are carried out by the older man and have provided resources, since ancient times, for their development and progress. With the discovery of fire will show the first metals that have marked the civilizations of copper, bronze and iron, and is the prehistory of the Stone Age tools that man has made from the exploitation of quarries first. The industrial revolution of the nineteenth century is linked to coal and steel, and could not conceiver of todays society without oil and gas, without silicon and coltan. But the mines are often aggressive and, despite their need and what they contribute to the development are answered by the societies where are made. during recent years there has been growing international efforts to try to make the minimum requirements of sustainable exploitation (European Directives, GMI, GRI, etc.) In AENOR, and within the Technical Committee of Standardization 22 Mining and Explosives, chaired by AITEMIN, was established the subcommittee 3, chaired by IGME, where, with the participation of all stake holders, have developed some standards on sustainable mining management sustainable mining that will be a tool available to mining companies to demonstrate their sustainable use to Society. (Author)

  3. Chapter 16: text mining for translational bioinformatics.

    Science.gov (United States)

    Cohen, K Bretonnel; Hunter, Lawrence E

    2013-04-01

    Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into the category of T1 translational research-translating basic science results into new interventions-and T2 translational research, or translational research for public health. Potential use cases include better phenotyping of research subjects, and pharmacogenomic research. A variety of methods for evaluating text mining applications exist, including corpora, structured test suites, and post hoc judging. Two basic principles of linguistic structure are relevant for building text mining applications. One is that linguistic structure consists of multiple levels. The other is that every level of linguistic structure is characterized by ambiguity. There are two basic approaches to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known as statistical. Many systems are hybrids of the two approaches. Shared tasks have had a strong effect on the direction of the field. Like all translational bioinformatics software, text mining software for translational bioinformatics can be considered health-critical and should be subject to the strictest standards of quality assurance and software testing.

  4. Modeling Framework for Mining Lifecycle Management

    Directory of Open Access Journals (Sweden)

    Na Lu

    2014-03-01

    Full Text Available In the development process of the information of the mining engineering, it is difficult to directly exchange and share information in the different phases and different application system, which causes the information isolation and information gap due to lack of unified data exchange standards and information integration mechanism. The purpose of this research is to build a modeling framework for mining lifecycle information management. The conception of mining lifecycle management (MLM is proposed based on product lifecycle management (PLM and Hall three dimension structures. The frame system of mining lifecycle management has been established by the application route of the information integration technologies and information standards. The four-layer structure of the realization of MLM system is put forward, which draws up the development method of MLM system. -The application indicates that the proposed theories and technologies have solved the problem of information isolation in different phases and application in mining engineering, and have laid a foundation for information exchange, sharing and integration in mining lifecycle.

  5. Landscape coordination changes in Jinggezhuang mining area

    Energy Technology Data Exchange (ETDEWEB)

    Fu, Mei-chen; Zhou, Jin-hua; Chen, Qiu-ji [China University of Geosciences (Beijing), Beijing (China). School of Land Science and Technology

    2008-10-15

    Indexes of all types of landscape in Jinggezhuang mining area in different periods were calculated using FRAGSTATS 3.3 software. The landscape pattern information indicates that the landscape in the mining area has changed greatly. The former landscape dominated by cultivation has become mining-occupied land with waste piles; the rural settlement land changes most of all the landscape types; the information entropy of landscape pattern is in a rising trend; each type of landscape shows its own change regularity: (1) farmland is divided and integrated by other types of landscape; (2) vegetable plots are dispersed; (3) forest land is the main landscape resulting from ecological reconstruction; (4) the gulch declines and its natural boundary becomes artificial; (5) the area of mining seeper increases and its quantity declines and the shape tends to be regular;(6) the quantity of fish ponds increases; (7) the villages move continuously and the uniformity of rural settlement land declines; (8) the connectivity of road corridors increases. The analyses indicate that mining and urbanization have great influences on the landscape pattern in the mining area on the urban-rural fringe. Land reclamation and ecological reconstruction improve the landscape. 10 refs., 1 fig., 3 tabs.

  6. Post-mining safety implementations and environmental aspects of abandoned mine sites in Limousin. 2006 status (and perspectives 2007); Mises en securite en apres-mine et aspects environnementaux des anciens sites miniers en Limousin. Bilan 2006 (et perspectives 2007)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    This document summarizes the actions carried out in 2006 at some French abandoned mine sites: 1 - safety implementations and risks abatement in the framework of post-mining actions: coal mines of Ahun (23) and Argentat (19), antimony mines of Biard (87); 2 - remedial actions at the tin/tungsten mine of Puy-les-Vignes (87) and at the gold mine of Chatelet (23); 3 - 2007 post-mining perspectives; 4 - environmental aspects of abandoned mine sites: gold mines of Chatelet (23), Cheni and Bourneix (87), uranium mines of Haute-Vienne (expertise, control of effluents, financial warranties about tailings storage sites maintenance). (J.S.)

  7. Coal Mines, Abandoned - COAL_MINE_UNDERGROUND_IN: Underground Coal Mines in Indiana (Indiana Geological Survey, 1:24,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — COAL_UND, the predecessor of COAL_MINE_UNDERGROUND_IN, is a polygon-based ESRI ArcView shapefile that shows the location and extent of underground coal mines in the...

  8. Coal Mines, Abandoned - COAL_MINE_ENTRIES_IN: Underground Coal Mine Entrances in Indiana (Indiana Geological Survey, 1:24,000, Point Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — SW_COAL_ENTRY, the predecessor of COAL_MINE_ENTRIES_IN, is a point- based ESRI ArcView shapefile that shows the locations of underground coal mine entrances in the...

  9. Data Mining for Anomaly Detection

    Science.gov (United States)

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

    2013-01-01

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

  10. 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.

  11. The canary in the mine.

    Science.gov (United States)

    Iezzoni, Lisa I

    2002-10-01

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

  12. Conservation and rational use of mineral resources at Donetsk mines

    Energy Technology Data Exchange (ETDEWEB)

    Kiselyov, N.N.; Shevchenko, N.F. [UkrNIMI, Donetsk (Ukraine)

    1999-07-01

    The closing down of a large number of old mines in the Donbass (liquidated) has brought forward the problem of permanent and accelerated improvement of the mines of coal amalgamation. Only the Donetsk Production Amalgamation on Coal Mining 'Donuglo' provides more than 10% of the whole coal production in the Ukraine. The construction of two new mines, the reconstruction of eight operating mines as well as technical renovation of eight mines have been planned for 10-12 years. Large capital investments would be justified only under conditions of increased improvements in technical and economic progress of mine operation, development of guidelines to reduce negative consequences on the environment when liquidating mines using the ecologic and geologic model 'Mine-City', and definition of expense for specific measures. 2 refs.

  13. 170. anniversary of mining schools in Kielce and Dabrowa Gornicza

    Energy Technology Data Exchange (ETDEWEB)

    Ciuk, E.

    1987-01-01

    Discusses history of the education system for mining engineers in Poland. The first school for mining engineers was founded in 1816 by Stanislaw Staszic in Kielce in the Kingdom of Poland. The Mining Academy in Kielce trained specialists for state coal mines and ore mines. The Academy existed for 10 years during which it issued 40 engineer certificates. The Academy was closed for political reasons. Traditions of the Mining Academy in Kielce were continued by the im. Stanislaw Staszic State School for Mining and Metallurgy in Dabrowa Gornicza in Upper Silesia. It was the only school for mining engineers in Poland until 1919 when the Mining Academy was opened in Cracow. History of the State School in Dabrowa Gornicza from 1889 to 1985 is discussed and its curriculum analyzed.

  14. Data, Text and Web Mining for Business Intelligence : A Survey

    Directory of Open Access Journals (Sweden)

    Abdul-Aziz Rashid Al-Azmi

    2013-04-01

    Full Text Available The Information and Communication Technologies revolution brought a digital world with huge amountsof data available. Enterprises use mining technologies to search vast amounts of data for vital insight andknowledge. Mining tools such as data mining, text mining, and web mining are used to find hiddenknowledge in large databases or the Internet. Mining tools are automated software tools used to achievebusiness intelligence by finding hidden relations,and predicting future events from vast amounts of data.This uncovered knowledge helps in gaining completive advantages, better customers’ relationships, andeven fraud detection. In this survey, we’ll describe how these techniques work, how they are implemented.Furthermore, we shall discuss how business intelligence is achieved using these mining tools. Then lookinto some case studies of success stories using mining tools. Finally, we shall demonstrate some of the mainchallenges to the mining technologies that limit their potential.

  15. DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY

    Directory of Open Access Journals (Sweden)

    Abdul-Aziz Rashid

    2013-03-01

    Full Text Available The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet. Mining tools are automated software tools used to achieve business intelligence by finding hidden relations, and predicting future events from vast amounts of data. This uncovered knowledge helps in gaining completive advantages, better customers’ relationships, and even fraud detection. In this survey, we’ll describe how these techniques work, how they are implemented. Furthermore, we shall discuss how business intelligence is achieved using these mining tools. Then look into some case studies of success stories using mining tools. Finally, we shall demonstrate some of the main challenges to the mining technologies that limit their potential.

  16. Review of the Federal Mining Law. [German Federal Republic

    Energy Technology Data Exchange (ETDEWEB)

    Weller, H.

    1981-01-01

    The Federal Mining Law is a codification of mining law in the Federal Republic of Germany. It contains 178 paragraphs covering all aspects of prospecting and mining of mineral raw materials and related activities. The new law is to replace the former regional mining laws as well as most of the former Federal and regional regulations. All in all, 104 laws and regulations are repealed in sections 174 and 175. Basic principles of the former mining laws have been adhered to, e.g. mineral reserves do not come under the proprietory rights of the land owner, preventive monitoring of operations by means of operation plans, cession of territory under mining law, and the regulations concerning mining and land ownership. However, there are new details in the Federal Mining Law, in particular with regard to concessions and mining damage; this is reflected in a more complicated legal language.

  17. Prevention of explosion in coal mine and management of coal mine gas

    Institute of Scientific and Technical Information of China (English)

    FURUKAWA Hirofumi; LI Bingrui; TOMITA Shinji

    2009-01-01

    There are many problems in terms of safe coal production and the sound de-velopment of the coal industry. Accompanying the intensification and increasing efficiency of coal production and the conducting of mining operations at deeper and more remote areas of mines, the efficient recovery and utilization of Coal Mine Methane (CMM) is an important issue in improving and stabilizing the productivity in the coal mining industry with high levels of gas, where the incidence of gas outbursts is increasing. We plan to study various aspects of the development of production technology and characteristics of the mine site. This is to establish the technology for highly efficient coproduction coal and gas operation rate. As a result, the productivity at the coal mine face will increase due to the reduction in gas emissions in the mining face. Effective use of recovered gas can be ex-pected to reduce global warming by reducing the amount of coal mine methane gas emis-sion in the air.

  18. Application of the spatial data mining module in analysis of mining ground deformation factors

    Directory of Open Access Journals (Sweden)

    Jan Blachowski

    2013-09-01

    Full Text Available Spatial data mining methods for example those based on artificial neural networks (ANN allow extraction of information from databases and detection of otherwise hidden patterns occurring in these data and in consequence acquiring new knowledge on the analysed phenomena or processes. One of these techniques is the multivariate statistical analysis, which facilitates identification of patterns otherwise difficult to observe. In the paper an attempt of applying self-organising maps (SOM to explore and analyse spatial data related to studies of ground subsidence associated with underground mining has been described. The study has been carried out on a selected part of a former underground coal mining area in SW Poland with the aim to analyse the influence of particular ground deformation factors on the observed subsidence and the relationships between these factors. The research concerned the uppermost coal panels and the following factors: mining system, time of mining activity and inclination, thickness and depth below the ground of the exploited coal panels. It has been found that the exploratory spatial data analysis can be used to identify relationships in multidimensional data related to mining induced ground subsidence. The proposed approach may be found useful in identification of areas threatened by mining related subsidence and in creating scenarios of developing deformation zones and therefore aid spatial development of mining grounds.

  19. Study on ascending mining roadway layout of close distance coal seams in deep mine

    Institute of Scientific and Technical Information of China (English)

    SHI Yong-kui; MO Ji

    2007-01-01

    To solve the problems appeared in mining process of No.2 seam, the ascending stress-releasing mining method was adopted. Studying on the reasonable layout of actual mining roadway in upper coal seams is the precondition of successful ascending mining.By using "device of leak measuring by blocking up double ends", it detected the height of overburden water flowing fractured zone originated from sub-coal seams mining. Thus it proved that the actual mining roadway of No.2 upper ascending seam was located in the smooth sagging zone. On the basis of analyzing the stress-releasing effect of sub-coal seams mining to upper coal seams by using RFPA software, it analyzed the stability of up-face coal seams and the reasonable location of starting cut in up-face coal seams. It also analyzed the reasonable gateway location in upper coal seams, which ensured the crossheading in upper coal seams out of the effect of sub-coal work face mining by using theory of underground pressure. Meanwhile, the reasonable pillars dimensions in upper coal seams by building the structure mechanics model of stope were researched. It can make the roadway driven along next goaf to be located in low stress zone, and be beneficial to keeping roads stable owing to less stress of surrounding rock. Finally, it tested the rationality of the layout method of roads in upper coal seams by engineering field measurement in 3221 working face.

  20. Spontaneous combustion and simulation of mine fires and their effects on mine ventilation systems

    Energy Technology Data Exchange (ETDEWEB)

    Gillies, A.D.S.; Wu, H.W.; Humphreys, D. [Gillies Wu Mining Technology Pty Ltd, Taringa, Qld (Australia). The Minserve Group

    2005-07-01

    The structure of a comprehensive research project into mine fires study applying the Ventgraph mine fire simulation software, preplanning of escape scenarios and general interaction with rescue responses is outlined. The project has Australian Coal Association Research Program (ACARP) funding and also relies on substantial mining company site support. This practical input from mine operators is essential and allows the approach to be introduced in the most creditable way. The effort is built around the introduction of fire simulation computer software to the Australian mining industry and the consequent modelling of fire scenarios in selected different mine layouts. The primary objective of the part of the study described in this paper is to use mine fire simulation software to gain better understanding of how spontaneous combustion initiated fires can interact with the complex ventilation behaviour underground during a substantial fire. It focuses on the simulation of spontaneous combustion sourced heatings that develop into open fires. Further, it examines ventilation behaviour effects of spontaneous combustion initiated pillar fires and examines the difficulties these can be present if a ventilation reversal occurs. It also briefly examines simulation of use of the inertisation to assist in mine recovery. 16 refs., 13 figs., 1 tab.

  1. Citation Mining: Integrating Text Mining and Bibliometrics for Research User Profiling.

    Science.gov (United States)

    Kostoff, Ronald N.; del Rio, J. Antonio; Humenik, James A.; Garcia, Esther Ofilia; Ramirez, Ana Maria

    2001-01-01

    Discusses the importance of identifying the users and impact of research, and describes an approach for identifying the pathways through which research can impact other research, technology development, and applications. Describes a study that used citation mining, an integration of citation bibliometrics and text mining, on articles from the…

  2. Sustainability Reporting Practices in Indian Mining Companies

    Directory of Open Access Journals (Sweden)

    Daizy

    2015-08-01

    Full Text Available Nowadays sustainability reporting can be used for communication purpose in marketing and to show transparency of the company (Kolk, 2000. These types of reports published by organization to disclosed more information on non-financial performance. These report highlighted the company’s commitment towards stakeholders. Various industries throughout the world started disclosing non-financial performance (sustainability reporting by using various different types of frameworks like Dow Jones index or global Reporting Initiative. In the 21st century sustainability reporting becomes important but in India it’s still in nascent stage. Out of all industries mining should be disclose information on the non-financial performance because of put direct negative impact on society and environment. Moreover mining is considered as one of the most polluting industries in the world.. Nowadays sustainability reporting can be used for communication purpose in marketing and to show transparency of the company (Kolk, 2000. These types of reports published by organization to disclosed more information on non-financial performance. These report highlighted the company’s commitment towards stakeholders. Various industries throughout the world started disclosing non-financial performance (sustainability reporting by using various different types of frameworks like Dow Jones index or global Reporting Initiative. In the 21st century sustainability reporting becomes important but in India it’s still in nascent stage. Out of all industries mining should be disclose information on the non-financial performance because of put direct negative impact on society and environment. Moreover mining is considered as one of the most polluting industries in the world.. The objective of this paper is to examine and compare the level of sustainability reporting of sample private mining companies and sample public mining companies as GRI framework. It involves an explorative

  3. Alternative utilization of underground spaces with abandoned mine openings

    Energy Technology Data Exchange (ETDEWEB)

    Chung, So Keul; Cho, Won Jai; Han, Kong Chang; Choi, Sung Oong [Korea Institute of Geology Mining and Materials, Taejon (Korea)

    1998-12-01

    Utilization of the openings of the abandoned mines could be planned by the principal parameters such as location and geotechnical impact. The local governments have not only to lead the each stage of the utilization project from the very beginning of conceptual design up to the construction stage, but also to promote the project for the development of public purpose. The possible tentative candidates for the utilization of the abandoned mine openings which are supported by the local governments could be summarized as follows. a. The Gahak mine of Kwangmyung, Kyunggi: The mine caverns which have been served as the storage of the pickled fishes, could be reexcavated by taking into consideration the geotechnical parameters for the public use such as: 1) Training center for the youth, 2) Fermentation and storehouse of marine products, 3) Sightseeing resort, 4) Sports and leisure complex, 5) Underground parking lot, 6) Underground shopping mall and chilled room storage, 7) Library, concert hall and museum. b. Hamtae mine of Taebaek, Kangwon: The Hambaek main haulage way and its shaft should be investigated in detail in order to find out a possible use as the underground challenging park of the coal mining operation. c. Mines of Boryung and Hongsung, Chungnam: Lots of mine caverns have been used as the storehouse for the pickled shrimp. However, they have to be promoted to a large scale industries. d. Imgok mine of Kwangju and Palbong mine of Jeongeup, Chunbuk: Mine caverns which have been used as the storehouse of pickles, need a detailed investigation for alternative promotion. e. Yongho mine of Pusan Dalsung mine of Taegu: Both of the mines are located near metropolitan communities. Reconstruction of the old mine caverns of the Yongho mine is highly recommended for a public use. The caverns of the Dalsung mine could be utilized as the storage facilities. Detailed geotechnical survey and sit investigation could be suggested to design the recommended facilities for both

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

    Science.gov (United States)

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

    2016-01-01

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

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

    Science.gov (United States)

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

    2014-01-01

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

  6. Mine land reclamation and eco-reconstruction in Shanxi province I: mine land reclamation model.

    Science.gov (United States)

    Bing-yuan, Hao; Li-xun, Kang

    2014-01-01

    Coal resource is the main primary energy in our country, while Shanxi Province is the most important province in resource. Therefore Shanxi is an energy base for our country and has a great significance in energy strategy. However because of the heavy development of the coal resource, the ecological environment is worsening and the farmland is reducing continuously in Shanxi Province. How to resolve the contradiction between coal resource exploitation and environmental protection has become the imperative. Thus the concept of "green mining industry" is arousing more and more attention. In this assay, we will talk about the basic mode of land reclamation in mine area, the engineering study of mine land reclamation, the comprehensive model study of mine land reclamation, and the design and model of ecological agricultural reclamation in mining subsidence.

  7. Hematite mining in the ancient Americas: Mina Primavera, A 2,000 year old Peruvian mine

    Science.gov (United States)

    Vaughn, Kevin J.; Grados, Moises Linares; Eerkens, Jelmer W.; Edwards, Matthew J.

    2007-12-01

    Mina Primavera, a hematite (Fe2O3) mine located in southern Peru, was exploited beginning approximately 2,000 years ago by two Andean civilizations, the Nasca and Wari. Despite the importance of hematite in the material culture of the ancient Americas, few hematite mines have been reported in the New World literature and none have been reported for the Central Andes. An estimated 3,710 tonnes of hematite were extracted from the mine for over 1,400 years at an average rate of 2.65 tonnes per year, suggesting regular and extensive mining prior to Spanish conquest. The hematite was likely used as a pigment for painting pottery, and the mine demonstrates that iron ores were extracted extensively at an early date in the Americas.

  8. The accident analysis of mobile mine machinery in Indian opencast coal mines.

    Science.gov (United States)

    Kumar, R; Ghosh, A K

    2014-01-01

    This paper presents the analysis of large mining machinery related accidents in Indian opencast coal mines. The trends of coal production, share of mining methods in production, machinery deployment in open cast mines, size and population of machinery, accidents due to machinery, types and causes of accidents have been analysed from the year 1995 to 2008. The scrutiny of accidents during this period reveals that most of the responsible factors are machine reversal, haul road design, human fault, operator's fault, machine fault, visibility and dump design. Considering the types of machines, namely, dumpers, excavators, dozers and loaders together the maximum number of fatal accidents has been caused by operator's faults and human faults jointly during the period from 1995 to 2008. The novel finding of this analysis is that large machines with state-of-the-art safety system did not reduce the fatal accidents in Indian opencast coal mines.

  9. Humanitarian mine detection by acoustic resonance

    Energy Technology Data Exchange (ETDEWEB)

    Kercel, S.W.

    1998-03-01

    The JASON Committee at MITRE Corp. was tasked by DARPA to inquire into suitable technologies for humanitarian mine detection. Acoustic resonance was one of the very few technologies that the JASONs determined might be promising for the task, but was as yet unexplored at the time that they conducted their inquiry. The objective of this Seed Money investigation into acoustic resonance was to determine if it would be feasible to use acoustic resonance to provide an improvement to present methods for humanitarian mine detection. As detailed in this report, acoustic resonance methods do not appear to be feasible for this task. Although acoustic resonant responses are relatively easy to detect when they exist, they are very difficult to excite by the non-contact means that must be used for buried objects. Despite many different attempts, this research did not discover any practical means of using sound to excite resonant responses in objects known to have strong resonances. The shaker table experiments did see an effect that might be attributable to the resonance of the object under test, but the effect was weak, and exploited the a priori knowledge of the resonant frequency of the object under test to distinguish it from the background. If experiments that used objects known to have strong acoustic resonances produced such marginal results, this does not seem to be a practical method to detect objects with weak resonances or non-existent resonances. The results of this work contribute to the ORNL countermine initiative. ORNL is exploring several unconventional mine detection technologies, and is proposed to explore others. Since this research has discovered some major pitfalls in non-metallic mine detection, this experience will add realism to other strategies proposed for mine detection technologies. The experiment provided hands-on experience with inert plastic mines under field conditions, and gives ORNL additional insight into the problems of developing practical

  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 concise method for mine soils analysis

    Energy Technology Data Exchange (ETDEWEB)

    Winkler, S.; Wildeman, T.; Robinson, R.; Herron, J.

    1999-07-01

    A large number of abandoned hard rock mines exist in Colorado and other mountain west states, many on public property. Public pressure and resulting policy changes have become a driving force in the reclamation of these sites. Two of the key reclamation issues for these sites in the occurrence of acid forming materials (AFMs) in mine soils, and acid mine drainage (AMD) issuing from mine audits. An AMD treatment system design project for the Forest Queen mine in Colorado's San Juan mountains raised the need for a simple, useable method for analysis of mine land soils, both for suitability as a construction material, and to determine the AFM content and potential for acid release. The authors have developed a simple, stepwise, go - no go test for the analysis of mine soils. Samples were collected from a variety of sites in the Silverton, CO area, and subjected to three tiers of tests including: paste pH, Eh, and 10% HCl fizz test; then total digestion in HNO{sub 3}/HCl, neutralization potential, exposure to meteoric water, and toxicity content leaching procedure (TCLP). All elemental analyses were performed with an inductively-coupled plasma (ICP) spectrometer. Elimination of samples via the first two testing tiers left two remaining samples, which were subsequently subjected to column and sequential batch tests, with further elemental analysis by ICP. Based on these tests, one sample was chosen for suitability as a constructing material for the Forest Queen treatment system basins. Further simplification, and testing on two pairs of independent soil samples, has resulted in a final analytical method suitable for general use.

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

    Science.gov (United States)

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

    2016-06-01

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

  13. Mining Frequent Itemsets from Online Data Streams: Comparative Study

    Directory of Open Access Journals (Sweden)

    HebaTallah Mohamed Nabil

    2013-08-01

    Full Text Available Online mining of data streams poses many new challenges more than mining static databases. In addition to the one-scan nature, the unbounded memory requirement, the high data arrival rate of data streams and the combinatorial explosion of itemsets exacerbate the mining task. The high complexity of the frequent itemsets mining problem hinders the application of the stream mining techniques. In this review, we present a comparative study among almost all, as we are acquainted, the algorithms for mining frequent itemsets from online data streams. All those techniques immolate with the accuracy of the results due to the relatively limited storage, leading, at all times, to approximated results.

  14. With low development costs, a small underground mine can pay

    Energy Technology Data Exchange (ETDEWEB)

    Brezovec, D.

    1986-09-01

    Ron Laswell's Rebbird mine, Ind., is a small family-run underground mine with a 2-million-recoverable-ton reserve. Laswell Coal workers have driven the slope shaft with equipment that is now being used to mine the coal and have raised two vertical ventilation shafts themselves. The mine, operating in a 54-in-thick seam is projected for a five-year life and is expected to yield an annual production of 150,000 tons. Describes the mining equipment and the development of the mine.

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

    Institute of Scientific and Technical Information of China (English)

    Meifeng Cai; Shuhua Hao; Hongguang Ji

    2008-01-01

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

  16. An Unforgettable Stamp Of Mine

    Institute of Scientific and Technical Information of China (English)

    杜永章

    1997-01-01

    【一位澳大利亚的女教师Mrs. Johnston,不远万里,来到中国的涪陵,在那里尽心尽力,一丝不苟地教英语。她已经走了,但是,她的学生没有忘记她,以看似平淡,却含深情:读似稚嫩,其实认真的语言记叙了Mrs. Johnston感人的事迹。从表面看.Mrs.Johnston 似乎没有干出什么惊天动地的伟业.其实.我们这个世界就是在千千万万个人的兢兢业业、默默无闻的工作中而变得越来越美好.读许多名人的传记.我们常常发现.许多名人的成长.常因遇见了一个好的老师.所以.美国的Dorine教授也写道:This student was lucky to have such a teacher!本文一个值得称道之处是:善捕细节。全文以a stamp为线索,一气呵成.标题(An Unforgettable stamp Of Mine)又提纲挈领·文章的可读性大大增强。美国的Dorine教授对此文的评价也不俗:This is another good description of a good Person who obviously Ioved her job and was sincerely interested iu her students.The organization is excellent.and the few errors are merely surface ones .although in at least one case there is some interference,ith comprehensibility.

  17. Carbon Sequestration on Surface Mine Lands

    Energy Technology Data Exchange (ETDEWEB)

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

    2006-03-31

    Since the implementation of the federal Surface Mining Control and Reclamation Act of 1977 (SMCRA) in May of 1978, many opportunities have been lost for the reforestation of surface mines in the eastern United States. Research has shown that excessive compaction of spoil material in the backfilling and grading process is the biggest impediment to the establishment of productive forests as a post-mining land use (Ashby, 1998, Burger et al., 1994, Graves et al., 2000). Stability of mine sites was a prominent concern among regulators and mine operators in the years immediately following the implementation of SMCRA. These concerns resulted in the highly compacted, flatly graded, and consequently unproductive spoils of the early post-SMCRA era. However, there is nothing in the regulations that requires mine sites to be overly compacted as long as stability is achieved. It has been cultural barriers and not regulatory barriers that have contributed to the failure of reforestation efforts under the federal law over the past 27 years. Efforts to change the perception that the federal law and regulations impede effective reforestation techniques and interfere with bond release must be implemented. Demonstration of techniques that lead to the successful reforestation of surface mines is one such method that can be used to change perceptions and protect the forest ecosystems that were indigenous to these areas prior to mining. The University of Kentucky initiated a large-scale reforestation effort to address regulatory and cultural impediments to forest reclamation in 2003. During the three years of this project 383,000 trees were planted on over 556 acres in different physiographic areas of Kentucky (Table 1, Figure 1). Species used for the project were similar to those that existed on the sites before mining was initiated (Table 2). A monitoring program was undertaken to evaluate growth and survival of the planted species as a function of spoil characteristics and

  18. Risk from vibration in Indian mines

    Directory of Open Access Journals (Sweden)

    Mandal Bibhuti

    2006-01-01

    Full Text Available Equipment-induced vibration is widely recognized as a health hazard. It is a physical stressor to which many people are exposed at workplace. Mining industry is no exception. In spite of extensive research undertaken in the developed countries, information on the magnitude of the problem in India is not available. An estimated 1 million workers were engaged in the Indian mining industry in the year 2003. The actual figures could be much higher. Analysis of employees′ database of several mines reveals that 18% employees in the Indian mining industry are occupationally exposed to vibration. Large-scale mechanization considerably adds to the severity and complexity of the problem because of 1 increase in the percentage of exposed population and 2 longer duration of exposure. The clinical picture and health outcomes of exposure to hand-arm vibration and whole-body vibration are scantily documented in the Indian context. In view of the health risk and action taken in other countries, we submit that there is an urgent need to develop a practical management strategy for evaluation, monitoring and control of equipment-induced vibration in the mining industry.

  19. 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.

  20. Systems modelling for effective mine water management

    Energy Technology Data Exchange (ETDEWEB)

    Cote, C.M.; Moran, C.J.; Hedemann, C.J.; Koch, C. [University of Queensland, Brisbane, Qld. (Australia)

    2010-12-15

    Concerns about the difficulties in securing water have led the Australian coal mining industry to seek innovative ways to improve its water management and to adopt novel strategies that will lead to less water being used and more water being reused. Simulation tools are essential to assess current water management performance and to predict the efficiency of potential strategies. As water systems on coal mines are complex and consist of various inter-connected elements, a systems approach was selected, which views mine site water management as a system that obtains water from various sources (surface, groundwater), provides sufficient water of suitable quality to the mining tasks (coal beneficiation, dust suppression, underground operations) and maintains environmental performance. In this paper, the model is described and its calibration is illustrated. The results of applying the model for the comparison of the water balances of 7 coal mines in the northern Bowen Basin (Queensland, Australia) are presented. The model is used to assess the impact of applying specific water management strategies. Results show that a simple systems model is an appropriate tool for assessing site performance, for providing guidance to improve performance through strategic planning, and for guiding adoption of site objectives.