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New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms. The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures. The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.
This book has 18 case study chapters investigating various injury scenarios through the use of a Human Factors and Ergonomics (HFE) analysis. Each injury scenario derives from one or more similar lawsuits (but names, places and some of the details are fictionalized). The scenarios describe a ‘slice of life’ of people interacting with products, equipment, tasks, and environments before they are seriously hurt. The forensic analyses that follows each scenario gives a background of prior similar events and systematically examines potential causes leading up the injury event, with emphasis on the person-machine interface, human error, hazard analysis, hazard control and a model of communication-human information processing (C-HIP). Chapter authors are highly experienced expert witnesses in HFE. The methods used are general techniques that can be applied to other injury scenarios, but would be better if employed earlier in a product’s life cycle to prevent or limit injury. The last chapter offers some broad take-away points that cut across several of the case studies.
One of the primary applications of human factors engineering is in the aviation domain, and the importance of human factors has never been greater as U.S. and European authorities seek to modernize the air transportation system through the introduction of advanced automation. This handbook provides regulators, practitioners, researchers, and educators a comprehensive resource for understanding and applying human factors to air transportation.
Currently people deal with various entities (such as hardware, software, buildings, spaces, communities and other people), to meet specific goals while going about their everyday activities in work and leisure environments. These entities have become more and more complex and incorporate functions that hitherto had never been allocated such as automation, use in virtual environments, connectivity, personalization, mobility and friendliness. This book contributes to the analysis of human-system interactions from the perspective of ergonomics, regardless of how simple or complex they are, while incorporating the needs of users and workers in a healthy safe, efficient and enjoyable manner. This book provides a comprehensive review of the state of the art of current ergonomic in design methods and techniques that are being applied to products, machinery, equipment, workstations and systems while taking new technologies and their applications into consideration. Ergonomics in Design: Methods and Techniques is organized into four sections and 30 chapters covering topics such as conceptual aspects of ergonomics in design, the knowledge of human characteristics applied to design, and the methodological aspects of design. Examples are shown in several areas of design including, but not limited to, consumer products, games, transport, education, architecture, fashion, sustainability, biomechanics, intelligent systems, virtual reality, and neurodesign. This book will: Introduces the newest developments in social-cultural approaches Shows different ergonomics in design methodological approaches Divulges the ways that ergonomics can contribute to a successful design Applies different subjects to support the design including –ergonomics, engineering, architecture, urbanism, neuro, and product designs. Presents recent technologies in ergonomic design, as applied to product design. With the contributions from a team of 75 researchers from 11 countries, the book covers the state-of-the-art of ergonomics in a way to produce better design.
As computers have infiltrated virtually every facet of our lives, so has computer science influenced nearly every academic subject in science, engineering, medicine, social science, the arts and humanities. Michael Knee offers a selective guide to the major resources and tools central to the entire industry. A discussion of three commonly used subject classification systems precedes an annotated bibliography of over 500 items. As computers have infiltrated virtually every facet of our lives, so has computer science influenced nearly every academic subject in science, engineering, medicine, social science, the arts and humanities. Michael Knee offers a selective guide to the major resources and tools central to the computer industry: teaching institutions, research institutes and laboratories, manufacturers, standardization organizations, professional associations and societies, and publishers. He begins with a discussion of the three subject classification systems most commonly used to describe, index, and manage computer science information: the Association for Computing Machinery, Inspec, and the Library of Congress. An annotated bibliography of over 500 items follows, grouped by material type, and featuring a mix of classic works and current sources.
The rapid introduction of sophisticated computers, services, telecommunications systems, and manufacturing systems has caused a major shift in the way people use and work with technology. It is not surprising that computer-aided modeling has emerged as a promising method for ensuring products meet the requirements of the consumer. The Handbook of Digital Human Modeling provides comprehensive coverage of the theory, tools, and methods to effectively achieve this objective. The 56 chapters in this book, written by 113 contributing authorities from Canada, China, France, Germany, the Netherlands, Poland, Sweden, Taiwan, UK, and the US, provide a wealth of international knowledge and guidelines. They cover applications in advanced manufacturing, aerospace, automotive, data visualization and simulation, defense and military systems, design for impaired mobility, healthcare and medicine, information systems, and product design. The text elucidates tools to help evaluate product and work design while reducing the need for physical prototyping. Additional software and demonstration materials on the CRC Press web site include a never-before-released 220-page step-by-step UGS-Siemens JackTM help manual developed at Purdue University. The current gap between capability to correctly predict outcomes and set expectation for new and existing products and processes affects human-system performance, market acceptance, product safety, and satisfaction at work. The handbook provides the fundamental concepts and tools for digital human modeling and simulation with a focus on its foundations in human factors and ergonomics. The tools identified and made available in this handbook help reduce the need for physical prototyping. They enable engineers to quantify acceptability and risk in design in terms of the human factors and ergonomics.
After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

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