Автор: Wasim Ahmed Khan, Khalid Rahman, Ghulam Название: Machine tools : ISBN: 1032116692 ISBN-13(EAN): 9781032116693 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the applications of Industry 4.0 in machine tools through an overview of the latest available digital technologies. It focuses on digital twinning, communication between industrial controls, motion, and input/output devices, along with sustainability in SMEs.
Автор: Awasthi S. Название: Sustainable Computing ISBN: 3031135768 ISBN-13(EAN): 9783031135767 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent advancements in Industry 4.0 and addresses how these can be useful in achieving sustainable solutions in Society 5.0. The book also serves as a reference for developing sustainable engineering solutions to various socio-economic and techno-commercial issues. The book is meticulously structured into two sections: Section I sheds light on fundamentals, nitty-gritties, and principles of technological innovations and advancement in artificial intelligence, cloud computing, industrial Internet of Things (IIOT), and Society 5.0, whereas Section II covers viable engineering solutions developments for revamping Industry 4.0 to Society 5.0. Overall, the authors aim to show how technological advancements can be used to address social issues and improve society.
Автор: Panos Konstantin; Margarete Konstantin Название: The Power Supply Industry ISBN: 3319891693 ISBN-13(EAN): 9783319891699 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Нет в наличии.
Описание: Power and Energy industry is a highly capital intensive business field. Furthermore there is a very close interlinkage between technologies and economics that requires engineering consultants, economists and lawyers dealing with investments in this field to have a basic knowledge of the power sector technologies and a common understanding of project evaluation approaches and methodologies. The book’s overall objective is to provide a comprehensive but concise coverage of power supply technologies and the related economics as required for techno-economic evaluation of investments in power and business projects. Throughout the book, the emphasis is on transferring practical know-how rather than pure theoretical knowledge. This is also demonstrated in numerous examples derived from experience of respective projects.
The book comprises eleven chapters, 35 tables, 100 figures, 35 application examples and 10 case studies
Target audience of the book are primarily international consultants, staff members of engineering companies, utility personnel, energy economists and lawyers, as well as employees of government agencies entrusted with regulating the energy and utility sector and, finally, students in related fields of engineering and economics.
Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..
The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.
Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.
Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.
The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.
Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.
For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.
Here is a preview of what you will learn...
Brief history of artificial intelligence
The state of art of machine learning
Artificial neural networks applied to machine learning
How can we build an AI ready culture
Our daily lives with AI
And More.....
Автор: Ye Jong Chul Название: Geometry of Deep Learning: A Signal Processing Perspective ISBN: 981166045X ISBN-13(EAN): 9789811660450 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined. To support this claim, an overview of classical kernel machine learning approaches is presented, and their advantages and limitations are explained. Following a detailed explanation of the basic building blocks of deep neural networks from a biological and algorithmic point of view, the latest tools such as attention, normalization, Transformer, BERT, GPT-3, and others are described. Here, too, the focus is on the fact that in these heuristic approaches, there is an important, beautiful geometric structure behind the intuition that enables a systematic understanding. A unified geometric analysis to understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are described from a unified geometric perspective, showing that they actually come from statistical distance-minimization problems. Because this book contains up-to-date information from both a practical and theoretical point of view, it can be used as an advanced deep learning textbook in universities or as a reference source for researchers interested in acquiring the latest deep learning algorithms and their underlying principles. In addition, the book has been prepared for a codeshare course for both engineering and mathematics students, thus much of the content is interdisciplinary and will appeal to students from both disciplines.
Описание: In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Описание: This book highlights the importance of geothermal energy by studying its potential either alone or in combination with solar energy, focusing on its industrial application. Its starting point is to identify in a thorough and precise manner the barriers that hinder the implementation of geothermal energy in Spain and the European Union and the measures to be taken to achieve its diffusion and regular use. Next, the book looks at how geothermal energy could contribute to this sector and to the desalination industry in particular, analysing a specific case in the south of Spain and extrapolating its results to a set of existing desalination plants in the Spanish Mediterranean with really interesting results in terms of economic amortisation and CO2 emissions avoided to the atmosphere. Beyond the desalination industry, this work demonstrates that almost 85% of the industrial processes of all industry in Spain can be carried out with very low, low and medium temperature geothermal resources and even applies its results to a set of existing solar plants, comparing in economic terms the results already obtained with those that would have been obtained if geothermal energy had been applied.
Автор: Hassanien Aboul Ella, Darwish Ashraf, Snasel Vacla Название: Digital Twins for Digital Transformation: Innovation in Industry ISBN: 3030968014 ISBN-13(EAN): 9783030968014 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to present dominant applications and use cases of the fast-evolving DT and determines vital Industry 4.0 technologies for building DT that can provide solutions for fighting local and globalmedical emergencies during pandemics. Moreover, it discusses a new framework integrating DT and blockchain technology to provide a more efficient and effective preventive conservation in different applications.
Описание: This book provides discussion and the exchange of information on principles, strategies, models, techniques, and applications related with the challenges and trends that competitive organizations are facing.
Автор: Gouse Baig Mohammad, S. Shitharth, Sachi Nandan Mohanty, Sirisha Potluri Название: Cloud Analytics for Industry 4.0 ISBN: 3110771497 ISBN-13(EAN): 9783110771497 Издательство: Walter de Gruyter Рейтинг: Цена: 28814.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures. Innovative techniques and methods for secure, flexible and profi table cloud manufacturing will be gathered to present advanced and specialized research in the selected area.
Описание: The book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems, serving as a useful guide for professionals working in the petroleum industry, industrial engineers, artificial intelligence and machine learning experts and researchers, as well as students.
Автор: Bieder, Corinne Название: Safety management systems and their origins ISBN: 1032308931 ISBN-13(EAN): 9781032308937 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Safety Management Systems and their Origins: Insights from the Aviation Industry presents different perspectives on SMS to better decode what it means as a safety approach and what it implicitly conveys beyond safety.The book uses the aviation industry as a basis for analyzing where the SMS stands in terms of safety enhancement. Through a socio-historical analysis of how SMSs emerged and spread across high-risk industries and countries, the book also explains the other stakes underpinning this new approach to safety management.Features:Explores SMS as it is implemented in aviation based on examples from several countries and regions, namely the UK, USA, and Australia.Presents a socio-historical analysis of how SMSs emerged in high-risk industries.Provides insights to explain the existing limitations of SMS.Proposes new avenues to reach beyond the limitations of SMS.Discusses the COVID-19 pandemic within the framework of risk analysis.The book is intended for safety professionals and regulators, as well as graduate students and researchers in safety science and engineering.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru