Mine Health and Safety In-house Research, Development, and Demonstration in Fiscal Year 1979 PDF Download

Author: United States. Bureau of Mines. Division of Mining Research--Health and Safety
Publisher:
ISBN:
Category : Mine safety
Languages : en
Pages : 40

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Author: United States. Bureau of Mines
Publisher:
ISBN:
Category : Fuel
Languages : en
Pages : 168

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Author: T. Szwedzicki
Publisher: CRC Press
ISBN: 1000099784
Category : Science
Languages : en
Pages : 534

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Book Description
As mining operations increase in scale and mines go progressively deeper, the geotechnical input into mine design is of importance. This book covers topics in geotechnical instrumentation and monitoring, including coverage of groundwater, displacement and environmental monitoring.

Author:
Publisher:
ISBN:
Category : Mining engineering
Languages : en
Pages : 84

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Author: National Research Council
Publisher: National Academies Press
ISBN: 0309169836
Category : Science
Languages : en
Pages : 102

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Book Description
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.

Author: Oleg Sergiyenko
Publisher: CRC Press
ISBN: 1040042988
Category : Technology & Engineering
Languages : en
Pages : 466

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A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, artificial intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, data science, and cloud computing. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering, scientific knowledge, and technological innovation. The chapters of the book delve into various topics and applications within the realm of machine vision. They cover areas such as camera and inertial measurement unit calibration, technical vision systems for human detection, design and evaluation of support systems using neural networks, UV sensing in contemporary applications, fiber Bragg grating arrays for medical diagnosis, color model creation for terrain recognition by robots, navigation systems for aircraft, object classification in infrared images, feature selection for vehicle/non-vehicle classification, visualization of sedimentation in extreme conditions, quality estimation of tea using machine vision, image dataset augmentation techniques, machine vision for astronomical images, agricultural automation, occlusion-aware disparity-based visual servoing, machine learning approaches for single-photon imaging, and augmented visual inertial wheel odometry. Each chapter is a result of expert research and collaboration, reviewed by peers and consulted by the book's editorial board. The authors provide in-depth reviews of the state of the art and present novel proposals, contributing to the development and futurist trends in the field of machine vision. "Measurements and Instrumentation for Machine Vision" serves as a valuable resource for researchers, students, and professionals seeking to explore and implement machine vision technologies in various domains, promoting sustainability, human-centered solutions, and global problem-solving.

Author: Ken Yale
Publisher: Elsevier
ISBN: 0124166458
Category : Mathematics
Languages : en
Pages : 824

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Book Description
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Author: United States. Congress. Senate. Appropriations Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 2082

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Author: United States. Congress Senate
Publisher:
ISBN:
Category :
Languages : en
Pages : 2586

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Author: United States. Congress. Senate. Committee on Appropriations
Publisher:
ISBN:
Category :
Languages : en
Pages : 2052

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