This book consists of papers presented at Automation 2017, an international conference held in Warsaw from March 15 to 17, 2017. It discusses research findings associated with the concepts behind INDUSTRY 4.0, with a focus on offering a better understanding of and promoting participation in the Fourth Industrial Revolution. Each chapter presents a detailed analysis of a specific technical problem, in most cases followed by a numerical analysis, simulation and description of the results of implementing the solution in a real-world context. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.

This book consists of papers presented at AUTOMATION2019, an international conference held in Warsaw from March 27 to 29, 2019. It discusses the radical technological changes occurring due to the INDUSTRY 4.0. To follow these changes, both scientists and engineers have to face the challenge of interdisciplinary approach directed at the development of cyber-physical systems. This approach encompasses interdisciplinary theoretical knowledge, numerical modelling and simulation as well as application of artificial intelligence techniques. Both software and physical devices are composed into systems that will increase production efficiency and resource savings. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.

Quickly access 50 tips for software test engineers using automated methods. The tips point to practices that save time and increase the accuracy and reliability of automated test techniques. Techniques that play well during demos of testing tools often are not the optimal techniques to apply on a running project. This book highlights those differences, helping you apply techniques that are repeatable and callable in professionally run software development projects. Emphasis is placed on creating tests that, while automated, are easily adapted as the software under construction evolves toward its final form. Techniques in the book are arranged into five categories: scripting, testing, the environment, running and logging of tests, and reviewing of the results. Every automation engineer sooner or later will face similar issues to the ones covered in these categories, and you will benefit from the simple and clear answers provided in this book. While the focus of the book is on the use of automated tools, the tips are not specific to any one vendor solution. The tips cover general issues that are faced no matter the specific tool, and are broadly applicable, often even to manual testing efforts. What You'll Learn Employ best-practices in automated test design Write test scripts that will easily be understood by others Choose the proper environment for running automated tests Avoid techniques that demo well, but do not scale in practice Manage tests effectively, including testing of test scripts themselves Know when to go beyond automation to employ manual methods instead Who This Book Is For Software test engineers working with automated testing tools, and for developers working alongside testing teams to create software products. The book will aid test engineers, team leads, project managers, software testers, and developers in producing quality software more easily, and in less time.

Using a combination of theoretical discussion and real-world case studies, this book focuses on current and future use of RAISA technologies in the tourism economy, including examples from the hotel, restaurant, travel agency, museum, and events industries.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Automation and Its Macroeconomic Consequences reveals new ways to understand the economic characteristics of our increasing dependence on machines. Illuminating technical and social elements, it describes economic policies that could counteract negative income distribution consequences of automation without hampering the adoption of new technologies. Arguing that modern automation cannot be compared to the Industrial Revolution, it considers consequences of automation such as spatial patterns, urbanization, and regional concerns. In touching upon labor, growth, demographic, and policy, Automation and its Macroeconomic Consequences stands at the intersection of technology and economics, offering a comprehensive portrait illustrated by empirical observations and examples. - Introduces formal growth models that include automation and the empirical specifications on which the data-driven results rely - Focuses on formal modeling, empirical analysis and derivation of evidence-based policy conclusions - Considers consequences of automation, such as spatial patterns, urbanization and regional concerns

The exhibition The Promise of Total Automation at the Kunsthalle Wien (vienna, 2016) investigated our relationship to a world of machines, technological objects, and electronic devices. The prospect of a fully automated futurewhile acutely reshaping the notions of work, production, and value creationfeeds emancipatory scenarios that ultimately lead to the end of labor. Instead of offering a traditional record of the exhibition, the curators investigated books written on the subject and then reproduced their covers. The result is a fascinating bibliography and chronology of automation as seen across the twentieth century through the covers of books and their authors. Included artists are Athanasios Argianas, Zbynek Baladrn, Thomas Bayrle, James Benning, Bureau dtudes, Steven Claydon, Tyler Coburn, Philippe Decrauzat and Alan Licht, Harry Dodge, Juan Downey, Ccile B. evans, Judith fegerl, Melanie Gilligan, Peter Halley, Channa Horwitz, Geumhyung Jeong, David Jourdan, Barbara Kapusta, Konrad Klapheck, Bela Kolrov, nick Laessing, Mark Leckey, Tobias Madison and emanuel Rossetti, Benot Maire, Mark Manders, Daria Martin, Shawn Maximo, Rgis Mayot, Wesley Meuris, Gerald nestler, Henrik Olesen, Julien Prvieux, and Magali Reus.