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: 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.
Автор: Khairuddin Название: Enabling Industry 4.0 through Advances in Mechatronics ISBN: 981192094X ISBN-13(EAN): 9789811920943 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents part of the iM3F 2021 proceedings from the mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
Автор: Kenett Название: Modern Statistics ISBN: 303107565X ISBN-13(EAN): 9783031075650 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others. The first chapters of the text focus on analyzing variability, probability models, and distribution functions. Next, the authors introduce statistical inference and bootstrapping, and variability in several dimensions and regression models. The text then goes on to cover sampling for estimation of finite population quantities and time series analysis and prediction, concluding with two chapters on modern data analytic methods. Each chapter includes exercises, data sets, and applications to supplement learning. Modern Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. Because of the foundational nature of the text, it can be combined with any program requiring data analysis in its curriculum, such as courses on data science, industrial statistics, physical and social sciences, and engineering. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Industrial Statistics: A Computer-Based Approach with Python. It covers topics such as statistical process control, including multivariate methods, the design of experiments, including computer experiments and reliability methods, including Bayesian reliability. These texts can be used independently or for consecutive courses. The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/ModernStatistics/ "In this book on Modern Statistics, the last two chapters on modern analytic methods contain what is very popular at the moment, especially in Machine Learning, such as classifiers, clustering methods and text analytics. But I also appreciate the previous chapters since I believe that people using machine learning methods should be aware that they rely heavily on statistical ones. I very much appreciate the many worked out cases, based on the longstanding experience of the authors. They are very useful to better understand, and then apply, the methods presented in the book. The use of Python corresponds to the best programming experience nowadays. For all these reasons, I think the book has also a brilliant and impactful future and I commend the authors for that." Professor Fabrizio Ruggeri Research Director at the National Research Council, Italy President of the International Society for Business and Industrial Statistics (ISBIS) Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)
Описание: THE SERIES: ADVANCED MECHANICAL ENGINEERING Currently, it is possible to define mechanical engineering as the branch of engineering that “involves the application of principles of physics and engineering for the design, manufacturing, automation and maintenance of mechanical systems”. Mechanical Engineering is closely related to a number of other engineering disciplines. This series fosters information exchange and discussion on all aspects of mechanical engineering with a special emphasis on research and development from a number of perspectives including (but not limited to) materials and manufacturing processes, machining and machine tools, tribology and surface engineering, structural mechanics, applied and computational mechanics, mechanical design, mechatronics and robotics, fluid mechanics and heat transfer, renewable energies, biomechanics, nanoengineering and nanomechanics. In addition, the series covers the full range of sustainability aspects related with mechanical engineering. Advanced Mechanical Engineering is an essential reference for students, academics, researchers, materials, mechanical and manufacturing engineers, and professionals in mechanical engineering.
Автор: Jelena Milisavljevic-Syed; Janet K Allen; Sesh Com Название: Architecting Networked Engineered Systems ISBN: 3030386090 ISBN-13(EAN): 9783030386092 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this monograph, the authors demonstrate how the integration of adaptability, operability, and re-configurability in the design of complex systems is indispensable for the further digitization of engineering systems in smart manufacturing.
Автор: Viswanathan S Saji; Abdelkader A Meroufel; Ahmad A Название: Corrosion and Fouling Control in Desalination Industry ISBN: 3030342832 ISBN-13(EAN): 9783030342838 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: This book addresses two critical problems that plague materials that make up components in both desalination and cooling water systems: corrosion, and fouling. The book addresses various types and components of industrial desalination technologies with solutions for controlling corrosion, scaling and biofouling. Issues unique to desalination systems, vital for the production of clean water, are considered as well.
Green technologies are discussed throughout, along with environmental and economic considerations. The book presents solutions to the problems encountered by internal and external parts of these systems and will aid professionals that design, operate, and maintain them. It will be valuable to professionals in the materials, corrosion, electrochemical and wastewater industries, as well as chemical engineers.
Addresses the corrosion issues facing the conventional and modern water desalination systems;Discusses the causes and remediation of problems caused by corrosion, scaling, and biofouling in water treatment;Offers green solutions, thereby minimizing environmental impact while increasing control and productivity of water systems;Suitable for professionals working with water desalination plants, materials scientists and corrosion engineers.
Автор: Alp Ustundag and Emre Cevikcan Название: Industry 4.0 : ISBN: 3319578693 ISBN-13(EAN): 9783319578699 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.
The book provides a conceptual framework and roadmap for decision-makers for this transformation
Автор: Anders S. G. Andrae Название: Global Life Cycle Impact Assessments of Material Shifts ISBN: 1848826605 ISBN-13(EAN): 9781848826601 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Planet Earth is under stress from various environmental factors, increasing the importance of being able to estimate the environmental costs associated with dynamic material shifts. This book describes the environmental implications of this shift to lead-free solders and conductive adhesives using environmental life-cycle assessment (LCA).
Автор: Datta Название: Machine Learning in Industry ISBN: 3030758494 ISBN-13(EAN): 9783030758493 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
Автор: Ab. Nasir Название: Recent Trends in Mechatronics Towards Industry 4.0 ISBN: 9813345993 ISBN-13(EAN): 9789813345997 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
Описание: This book presents part of the proceedings of the Manufacturing and Materials track of the iM3F 2021 conference held in Malaysia. This collection of articles deliberates on the key challenges and trends related to manufacturing as well as materials engineering and technology in setting the stage for the world in embracing the Fourth Industrial Revolution. It presents recent findings with regard to manufacturing and materials that are pertinent toward the realizations and ultimately the embodiment of Industry 4.0, with contributions from both industry and academia.
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