Author: Luis R. Izquierdo Publisher: Springer Nature ISBN: 3031293827 Category : Technology & Engineering Languages : en Pages : 376
Book Description
This book is a compilation of some of the best papers presented at the 15th International Conference on Industrial Engineering and Industrial Management in 2021. The Conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by the University of Burgos, and it took place online on July 8 and 9, 2021. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on industrial engineering and industrial management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in operations management and decision sciences. Industry 4.0: The Power of Data will help academic researchers and practitioners in industrial engineering and industrial management to keep abreast of state-of-the-art developments in these subjects.
Author: Klaus Schwab Publisher: Crown Currency ISBN: 1524758876 Category : Business & Economics Languages : en Pages : 194
Book Description
World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress.
Author: Patrick Bangert Publisher: Elsevier ISBN: 0128226005 Category : Technology & Engineering Languages : en Pages : 276
Book Description
Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls
Author: Jesús Hamilton Ortiz Publisher: BoD – Books on Demand ISBN: 183880093X Category : Technology & Engineering Languages : en Pages : 134
Book Description
This book shows a vision of the present and future of Industry 4.0 and identifies and examines the most pressing research issue in Industry 4.0. Containing the contributions of leading researchers and academics, this book includes recent publications in key areas of interest, for example: a review on the Industry 4.0: What is the Industry 4.0, the pillars of Industry 4.0, current and future trends, technologies, taxonomy, and some case studies (A.U.T.O 4.0, stabilization of digitized process). This book also provides an essential tool in the process of migration to Industry 4.0. The book is suitable as a text for graduate students and professionals in the industrial sector and general engineering areas. The book is organized into two sections: 1. Reviews 2. Case Studies Industry 4.0 is likely to play an important role in the future society. This book is a good reference on Industry 4.0 and includes some case studies. Each chapter is written by expert researchers in the sector, and the topics are broad; from the concept or definition of Industry 4.0 to a future society 5.0.
Author: Constantine Stephanidis Publisher: Springer Nature ISBN: 3030601528 Category : Computers Languages : en Pages : 734
Book Description
This book constitutes late breaking papers from the 22nd International Conference on Human-Computer Interaction, HCII 2020, which was held in July 2020. The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place. In addition, a total of 333 papers and 144 posters are included in the volumes of the proceedings published after the conference as “Late Breaking Work” (papers and posters). These contributions address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems. The 54 late breaking papers address topics such as Interaction, Knowledge and Social Media.
Author: Luis R. Izquierdo
Author: Klaus Schwab
Author: Patrick Bangert
Author: Jesús Hamilton Ortiz
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Author: Robert Thurston Kent
Author: United States. Bureau of the Census
Author: United States. Bureau of the Census
Author: Constantine Stephanidis