Bücher der Reihe EAI/Springer Innovations in Communication and Computing

This book provides insight into the importance of advanced innovative technologies such as the Internet of Things (IoT), artificial intelligence (AI), and Metaverse as part of information and communication technology (ICT) solutions in education. Key features of this book include the recent and emerging developments in various specializations in education and finding their solutions by incorporating IoT, AI and ICT. This book presents useful applications, interventions, and case studies that cater to their improved requirements. Topics include formal and services based on IoT; AI technology for IoT-based educational delivery; interfacing devices to IoT; smart educational services; ChatGPT; Smartbots; and more. The authors include several practical solutions and applications of IoT and ICT in education. The book applies to researchers, academics, students, educators and practitioners around the world.

This book focuses on the numerous energy harvesting techniques and their system implementation towards the fulfilment of energy requirements in compact electronic devices. These cover a wide range of applications in portable devices, bio-medical services, agriculture needs, mechanical systems, sensor networks, automobiles, food sector, home appliances, industry needs, etc. The authors detail energy harvesting methods using the latest technologies in acoustics, bio-chemical, thermal, artificial light, fluid flow, vibrations, EM energy, RF energy, piezoelectric, electrostatic, photovoltaic, thermoelectric, hybrid harvesting, ultrasonic, infrared, light, wind, and solar. The book is intended for researchers, academics, professionals, and students in energy harvesting.

This book provides insights into IoT, its applications, and various implementation techniques. The authors first discuss the IoT design methodology to define the domain model. They then cover various connection methodologies used in IoT such as Ethernet, Wi-Fi, low powered wide area network (LPWAN), Bluetooth, RFID, cellular, and satellite, and more, along with their challenges. An example is made on the designing process using Arduino, which offers smart, connected, and secure elements; they also illustrate the integration of IoT with Blockchain, cloud, machine learning, big data, embedded software, sensors, etc. The book going on to cover the future of IoT in various sectors and how IoT will continue to be game-changing technology.

The book discusses the study and implementation of controlling in the modern enterprise from the perspective of Industry 4.0, which helps ensure the efficient and effective use of organizational resources in order to achieve planned goals. The aim of this book is to provide the most comprehensive and effective exchange of information on current developments in Enterprise Controlling. The authors describe lean/agile approaches that enterprises can use to reach the highest level of competitiveness in a global environment and help establish channels of communication and disseminate knowledge among professionals working in manufacturing and related institutions. The authors aim to help facilitate corporate coordination and help with its planning without deviating from standards. The publication is dedicated to all who want to learn in the field of controlling from researchers and academics to students.

This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing.Supports the advancement in the artificial intelligence used in software development;Advances knowledge on artificial intelligence based metaheuristic approach in software testing;Encourages innovation in traditional software testing field using recent artificial intelligence.* 

This book features the proceedings of the 4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2021). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.

This textbook presents comprehensive treatment of the e-business environment and the tools and strategies necessary for success in the digital realm. The author covers a wide range of e-business-related topics, such as e-environment, e-business security, billing and payment systems, supply chain management, digital marketing, customer relationship management, business intelligence, e-business adoption, change management, performance measurement, legal, and regulatory. The book focuses on the ethical and legal issues of e-business and offers practical advice for establishing and maintaining successful e-business operations. The book also discusses the challenges of keeping up with swiftly evolving technology and the ever-changing internet landscape, including online transactions, data security, and administration. The author seeks to advance e-business research and practice by providing a comprehensive and up-to-date overview of the field. The author includes case studies that span various industries and companies, from small startups to large corporations, providing readers with a diverse and practical perspective on e-business.

This book presents the proceedings of the 6th EAI International Conference on Robotics and Networks 2022 (ROSENET 2022). The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place at Swansea University, Wales, Great Britain.

This book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT). The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles.

This book presents the proceedings of the 15th EAI International Conference on Automation and Control in Theory and Practice (ARTEP 2023), held in Stará Lesná, Slovakia, February 8-10, 2023. The aim of the conference was to meet the experts in the field of control, industrial automation and ICT in the industry from universities, colleges, and practice. The conference aims to draw attention to modern trends in the field, to enable experts, pedagogues and scientific researchers to present the results achieved in their work, to exchange experiences and establish working contacts between meeting participants. The ARTEP proceedings includes papers on automation and control and their integration of technologies such as Industry 4.0, robotics, and IoT. ARTEP is primarily a conference for scientists and practitioners who develop and study automation, management, and technologies.

This book introduces a unique perspective on the use of data from popular emerging technologies and the effect on user quality of experience (QoE). The term data is first refined into specific types of data such as financial data, personal data, public data, context data, generated data, and the popular big data. The book focuses the responsible use of data, with consideration to ethics and wellbeing, in each setting. The specific nuances of different technologies bring forth interesting case studies, which the book breaks down into mathematical models so they can be analyzed and used as powerful tools. Overall, this perspective on the use of data from popular emerging technologies and the resulting QoE analysis will greatly benefit researchers, educators and students in fields related to ICT studies, especially where there is additional interest in ethics and wellbeing, user experience, data management, and their link to emerging technologies.

This book presents a series of applications of different techniques found in Industry 4.0 with relation to productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different areas of engineering to understand how the use of new technologies is applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. This is accomplished through the analysis of illustrative case studies, descriptive methodologies and structured insights that are provided through the different considered techniques.

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

This book combines two main topics applied to cities and societies: innovation and sustainability. The book begins by showing a brief overview of the book's main topics; then, the book addresses four main areas which allow our communities to be more attractive, engaging and fun; analytical, descriptive and predictive; healthy, secure and sustainable; and innovative, connected and monitored. This book represents a union of inputs from researchers and practitioners where each chapter has distinct, valuable and practical contributions that turn it unique. The content ranges from theoretical, like studies or analyses to practical, like industrial solutions or engaging systems. Both branches focus on turning our society more attractive, intelligent, inclusive, sustainable, and ready for the future.

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.

This book provides information on interdependencies of medicine and telecommunications engineering and how Covid exemplifies how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear cut views on medical technologies. The authors provide chapters on processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field of communications engineering with a variety of perspectives.

This book features the proceedings of the 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

This book presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021), held virtually in a live stream. The papers included contribute to organized topics of 5G wireless communication, wireless sensor networks, knowledge extraction, instantaneous availability, complex networks, computer vision for mobile application, and mobile support robots. The research presents both theoretically and experimentally based topics. The work particularly benefits researchers, graduate students, and engineers who are interested in related technique improvement ranging from communication middleware and operating systems to networking protocols and applications.Presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021);Topics include 5G wireless communication, wireless sensor networks, knowledge extraction, and instantaneous availability;Relevant to researchers, students, and engineers involved in wireless technology and its applications.