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The escalating worldwide demand for energy has had the effect, among other things, of promoting the development of coal mining. In some countries specialist design offices were set up and students trained as specialists in mine design and construction. Poland, a country having mining traditions stretching over many centuries, is a good example, and has gained a place in the forefront, not only as a coal producer and exporter, but also as an originator and exporter of technical mining know-how. The author of this book has himself had 25 years of practical experience in mine design, in the supervision of mining investment implementation both at home and abroad, and also in directing the activities of the Chief Mine Design and Studies Office in Poland, plus more than 20 years' teaching experience in the training of mining engineers, in particular as head of the Mine Design Department of the Mining Faculty at the Silesian Polytechnic University in Gliwice. This vast wealth of experience has prompted him to write the present book which discusses the basic problems met with in the design of underground hard-coal mines.The author's primary aim has been to deal with all those questions in mine design which have not yet been answered in mining textbooks and which, from his own personal experience, he considers to be of importance. Accordingly, he presents the general principles governing the design of new mines and the reconstruction of working mines, the development of mining regions, the design of coal-preparation plant, and energy economy in mines. Making use of the broad experience gained by the Polish mining industry in the implementation of mining investment projects, he has quoted several examples of technical and organizational solutions which effectively shorten the mine construction cycle.The book is addressed chiefly to investors and engineers engaged in preparing plans for the development of mining regions, for the construction of new mines, and the reconstruction of existing mines and preparation plants, as well as to students in mining departments of technical schools and universities. The information offered here is of great practical value and may well stimulate the development of new ideas for design and implementation concepts.
Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.
Changes in size and power of available mining transport equipment, combined with improved means of control involving leaky feeder radio and computers, demands a new look at the problem of mine winding and transport. Such changes require the traditional mining engineer to have a much greater engineering application. This book is intended to satisfy that requirement.All the important means of transporting operatives and minerals are addressed, both below ground and on the surface. Safe, speedy and economic transport from the point of mineral extraction to leaving the mine is paramount. This work covers all aspects of the problem including: (1) the design and application of steel wire ropes to a variety of industrial applications, and the various drums and pulleys necessary; (2) a ready means of calculating output/throughput of various transport modes, and relating such to their power requirement; and (3) information on transport modes that enables the most suitable system for given conditions to be determined.A ``first principle'' approach has been adopted throughout, and extensive use of practical examples allows the solution of virtually all associated problems. Although formulae are used where necessary for an understanding of the content, the numerous tables included enable the practicing engineer to make short cuts to more quickly solve particular problems. In addition, the provision of a considerable number of operational constants, many not previously published, enable a more speedy and accurate solution to be effected. By comparing the calculated solutions to a particular problem, the most economic transport mode may be determined.Mining, mechanical and electrical engineers concerned with the safe movement of men or material will find this book of particular use, as will the student preparing for examinations on the subject.
Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.
"The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"--Provided by publisher.
This first Issue in the series contains nine articles written by leading British and American experts from the mining industry, regulatory authorities, and academia, and incorporates the latest research. Following an introductory overview of many of the issues of current concern to the field, the book deals with a wide variety of topics, ranging from the environmental impact of gold mining in the Brazilian Amazon, through the issues relevant to coal mining, vegetative and other remediation strategies and procedures and water pollution, to a thorough analysis of environmental management and policy initiatives. The issues raised in Mining and its Environmental Impact may point the way to future solutions to the economic, technological and environmental problems associated with mining in all its aspects and make this volume key reading for practitioners and researchers in the field, as well as for environmentalists generally.
An introductory text and reference on mining engineering highlighting the latest in mining technology Introductory Mining Engineering outlines the role of the mining engineer throughout the life of a mine, including prospecting for the deposit, determining the site's value, developing the mine, extracting the mineral values, and reclaiming the land afterward. This Second Edition is written with a focus on sustainability-managing land to meet the economic and environmental needs of the present while enhancing its ability to also meet the needs of future generations. Coverage includes aboveground and underground methods of mining for a wide range of substances, including metals, nonmetals, and fuels. Completely up to date, this book presents the latest information on such technologies as remote sensing, GPS, geophysical surveying, and mineral deposit evaluation, as well as continuous integrated mining operations and autonomous trucks. Also included is new information on landscape restoration, regional planning, wetlands protection, subsidence mitigation, and much more. New chapters include coverage of: * Environmental responsibilities * Regulations * Health and safety issues Generously supplemented with more than 200 photographs, drawings, and tables, Introductory Mining Engineering, Second Edition is an indispensable book for mining engineering students and a comprehensive reference for professionals.
The Office of Industrial Technologies (OIT) of the U. S. Department of Energy commissioned the National Research Council (NRC) to undertake a study on required technologies for the Mining Industries of the Future Program to complement information provided to the program by the National Mining Association. Subsequently, the National Institute for Occupational Safety and Health also became a sponsor of this study, and the Statement of Task was expanded to include health and safety. The overall objectives of this study are: (a) to review available information on the U.S. mining industry; (b) to identify critical research and development needs related to the exploration, mining, and processing of coal, minerals, and metals; and (c) to examine the federal contribution to research and development in mining processes.
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.