Bøger i EAI/Springer Innovations in Communication and Computing serien

This proceeding features papers from EAI Mobility IoT 2022 ¿ the 9th International Conference on Mobility, IoT and Smart Cities, which took place December 15-16, 2022, Bratislava, Slovakia and online. The conference focuses on innovative technologies influencing industry and connectivity sectors in industrial, urban, social and sustainable development. The papers cover many topics in mobility, including car manufacturing, e-mobility, smart cities, smart factories (Industry 4.0), smart logistics, social mobility, technological innovations, sustainability, multicultural development, Internet of Things sectors, etc. The papers are applicable to researchers, academics, students, and professionals.

This book focuses on the integration of IoT and computer aided systems for the development of smart buildings. The scope of the book includes, but is not restricted to, advanced technologies for monitoring, energy management, smart gardening, protection, safety, assisted living, and intelligent operations. The authors cover the wide aspects of interconnected smart services with convenient interfacing to the end-users. The features of this book include discussion on various aspects of IoT and computer aided systems for smart architecture designs and innovative object interconnections. The book also provides highlights on the applications of IoT in the development of intelligent structures for technology-enabled lifestyles. Furthermore, it provides prominent scopes for future inventions in the field of electrical engineering, building system management, and computer-aided advancements. The content of this book is useful to graduate and post-graduate students, researchers, and professionals working on the concept of smart building, smart city, and smart environments.

The book presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022), which took place in Krynica-Zdrój, Poland, 05-07 October 2022. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering.Presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022);Covers topics such as Industry 4.0, smart logistics, smart cities, and intelligent manufacturing;Relevant for researchers, academics, and professionals.

This book addresses and disseminates research and development in the applications of intelligent techniques for computer vision, the field that works on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers grasp the essence of the recent advances in this complex field. The audience includes researchers, professionals, practitioners, and students from academia and industry who work in this interdisciplinary field. The authors aim to inspire future research both from theoretical and practical viewpoints to spur further advances in the field.

This book is the result of years of research following a realization of the mismatch of engineering skills produced by universities and those that industry required, based on the situation in Sub-Saharan Africa, equally applicable to other regions in Africa and indeed worldwide. The book is meant to assist engineering academics and engineers in industry to build capacity and cope with the dynamic trends in technology brought on by the 4th Industrial Revolution and to prepare for the 5th Industrial Revolution, an era predicted to be dominated by critical and system thinkers with creative and innovative skills as basic necessities. The book is also useful for policy-making researchers in academia, industrial and public sector researchers, and implementers in governments that provide required funding for the development of human resources and skills. The book primarily consists of the novel research and innovation approaches of modelling and building systems thinking sub-models which were ultimately integrated into the Universal Systems Thinking (UST) model aimed at improving the quality of engineers and engineering practice. The initiatives in this book include strategies for bridging the gap between industry and academia through systems thinking research. The book provides information on how to model, simulate, adjust and implement integrated systems thinking approaches to engineering education and training for capacity building and sustainability. The book also covers approaches to address research gaps and mismatch of skills while capitalizing on the successes of several projects carried out and supported by the Royal Academy of Engineering over the years.

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more.  The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies;Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

This book provides readers with an insight into information and knowledge in the Internet of Things, in particular an investigation of data management and processing, information extraction, technology, knowledge management, knowledge sharing, knowledge co-creation, knowledge integration, and the development of new intelligent services available anytime, anywhere, by anyone. The authors show how IoT enables communication and ubiquitous computing between global citizens, networked machines and physical objects, providing a promising vision of the future integrating the real world of knowledge agents and things with the virtual world of information.

This book discusses the trust models for next-generation Blockchain ecosystems. The book provides a comprehensive discussion on various trust factors involving security, anonymization, reputation, governance, economic models, and other relevant determinants. The book covers various topics in breadth and depth. In addition, it sets the foundation to involve the readers in understanding the core theories supplemented with technical and experimental discussion. The book starts by laying out the foundations of trust models in Blockchain ecosystems. The authors then provide a study of existing trust models Blockchain networks. They then provide identification of trust factors and discuss each trust factor. The book concludes with a future outlook of trust-enabling Blockchain ecosystems.Outlines the trust models for next-generation Blockchain ecosystems;Covers the trust issues in various Blockchain ecosystems running in public, private, consortium, and cloud environments;Features issues such has privacy, security, scalability, and requirements in Blockchain.

This book presents applications of cognitive management and cognitive computing in the fields of risk management, cognitive fraud detection, and in business decision making. The book provides insights on how cognitive management and cognitive computing enable businesses to quickly augment human intelligence and help humans perform tasks better. For example, the authors describe how by analyzing patterns in big data, small data, and "e;dark data,"e; cognitive technologies can detect human behavior and suggest options for personalizing of products and services. The book studies companies in industries such as automotive, airline, health care, retail, wealth management, and litigation who have adopted these approaches.Presents applications of cognitive computing and cognitive management used in augmenting and empowering business decisions;Shows how to employ the Internet of Things in businesses using a cognitive management framework;Discusses technical aspects and alternatives to traditional tools, algorithms, and methodologies in cognitive computing.