Engineering (R0)

This book presents recent results on fault diagnosis and condition monitoring of airborne electromechanical actuators, illustrating both algorithmic and hardware design solutions to enhance the reliability of onboard more electric aircraft.

The book is written with the idea of providing practical guidelines on the development of fault diagnosis and monitoring algorithms for airborne electromechanical actuators. It will be of interest to practitioners in aerospace, mechanical, electronic, reliability and systems engineering, as well as researchers and postgraduates interested in dynamical systems, automatic control and safety-critical systems.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

This book highlights research on secure communication of 5G and the Internet of Things (IoT) Networks, along with related areas to ensure secure and Internet-compatible IoT systems. The authors not only discuss 5G and IoT security and privacy challenges, but also energy efficient approaches to improving the ecosystems through communication. The book addresses the secure communication and privacy of the 5G and IoT technologies, while also revealing the impact of IoT technologies on several scenarios in smart city design. Intended as a comprehensive introduction, the book offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in 5G and IoT technologies.  

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wavelet Transform and their implementation are discussed. The authors include a perspective about concepts and techniques of remote sensing like image mining, geographical, and agricultural resources. The book also includes several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking — including recent trends in moving vehicles and ship detection – is described.

• Presents developments of current research in various areas of image processing;
• Includes applications of image processing in remote sensing, astronomy, and manufacturing;
• Pertains to researchers, academics, students, and practitioners in image processing.

• Provides current research, developments, and applicationsin pervasive healthcare;
• Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare;
• Pertinent for researchers, students, practitioners and healthcare decision makers.

Few people know what wandering spurs are; fewer still know how to get rid of them. This book, which is written by those who raised awareness of wandering spurs, explained how they arise, and invented ways to get rid of them, contains valuable insights, analytical techniques and examples that will enable the reader to become an expert in the area. The book is aimed at circuit design professionals who need to ensure that their designs are not compromised by wandering spurs. In addition to insights, theory, and analysis, it contains practical circuit solutions, the performance of which are characterized experimentally.

This book explains—using simulation, analysis, and experimental measurements—what wandering spurs are, how they arise, how to characterize them and, most importantly, how to get rid of them. The authors present not only theoretical analysis and simulation strategies, but also provide an overview of spectral analysis techniques for studying the phenomenon and convincing experimental results from both commercially available and custom-designed monolithic synthesizers. 

• Explains what wandering spurs are and how they differ qualitatively from the well-known fixed spurs that plague fractional-N frequency synthesizers;
• Provides analytical and simulation methods to study wandering spurs and original analysis of the cause of this recently reported spectral phenomenon;
• Presents and analyses theoretical designs based on a conventional MASH 1-1-1 to mitigate wandering spurs;
• Describes measured performance for the discussed designs, confirming their effectiveness in mitigating wandering spurs.

This book covers a variety of topics and trends related to blockchain technology for smart era applications. The applications span industries such as health, government, energy management, manufacturing, finance, information systems, all far beyond blockchain's original use in cryptocurrency. The authors present variants, new models, practical solutions, and technological advances related to blockchain in these fields and more. The applications within these fields include blockchain and cyber-security, IoT security and privacy using blockchain, and blockchain in industries and society . A variety of case studies are also included. The book is applicable to researchers, professionals, students, and professors in a variety of fields in communications engineering.

This book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book featurescontributions from leading scholars from all over the world.

• 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.

This book provides the interplay between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. The book mainly focuses on presenting case studies and empirical studies demonstrating how the industry 4.0 technologies interact with the conventional manufacturing practices such as lean manufacturing, circular economy practices, total quality management, and maintenance management, while achieving enhanced sustainable supply chain performance. The book guides the practitioners to consider the status of conventional supply chains in their organisations while designing industry 4.0 systems. This book is a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey.

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 features the proceedings of the 5^th 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 explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.

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 analyzes digital technologies being used in the teaching-learning process. The authors show how the use of AI in higher education can provide personalized education through the automation of administrative teaching tasks, software programs that favor the detection of topics that need reinforcement in the classroom, the guidance and support of students outside the classroom, and the use of data intelligently to teach and support students. In addition, the authors show how to further personalize education with the use of augmented reality, adaptive platforms, intelligent tutor systems, Chatbots, adaptive learning, computer aided instruction, MOOCs, and robotics. The authors answer questions such as: What sustainable educational technologies can be used in the teaching-learning process; How can Blockchain technology and AI be applied in higher education; How can the metaverse be applied in virtual learning environments? The book is relevant to researchers, professionals, andstudents interested in technology and education.

This book evaluates a new potential game-change technology where burning a compound known as “thermite” is used to melt the casing, cement and rock forming an impermeable plug within the wellbore. A review on current and emerging technologies is presented.

The development of analytical, numerical and experimental tools is documented in separate sections of the book, showing results and discussing the potential for this new technology and its role on the ongoing energy transition process worldwide.

This book reports on advances in manufacturing, with a special emphasis on smart manufacturing and information management systems. It covers sensors, machine vision systems, collaborative technologies, industrial robotics, digital twins, and virtual and mixed reality. Further topics include quality management, supply chain, agile manufacturing, lean management, and sustainable transportation. Chapters report on theoretical research and experimental studies concerning engineering design, simulation, and various machining processes for subtractive and additive manufacturing. It also discusses key aspects related to engineering education and competence management in the Industry 4.0 era. Based on the 7th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE-2024), held on June 4-7, 2024, in Pilsen, Czech Republic, this first volume of a 2-volume set provides academics and professionals with extensive information on technologies, trends, challenges, and practice-oriented experience in all the above-mentioned areas.

This book presents the proceedings of the 8th EAI International Conference on Robotics and Networks 2024 (EAI ROSENET 2024). The conference explores the integration of networks, communications, 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 communications and 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 communications and networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. 

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2024), which took place September 10-12, 2024 in Laredo, Texas, USA. The full papers presented were carefully reviewed and selected from dozens of submissions. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.

• Presents the proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services;
• Includes topics such as computer and data science, AI tools and applications, and machine learning for optimization;
• Relevant to researchers, academics, students and professionals in communications engineering.

This book focuses on the development of multisensor fusion algorithms for wearable devices that are useful in ambulatory health monitoring using signal-processing and deep learning-based methods. The algorithms described account for the signal quality prior to fusion, in order to enable reliable inferences without contributing to additional computational overhead. The content discussed is beneficial in the broad application of multisensor fusion, as the algorithms developed or discussed in the final chapters are generalized cases of the methods developed in the initial chapters, offering relevance to the broader multisensor fusion community.

• Provides a single-source reference to the history, methods and analysis of fusion algorithms
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This book seeks to examine the profound transformations brought about by the convergence of human-centered principles and advancing cyber-technologies across diverse fields, including industry, environment, healthcare, and interactive media. Each chapter contributes to a broader understanding of how technological progress influences and shapes our social, economic, and ecological landscapes. Part I of the book focuses on the emergence of human-centricity in flexible industries and organizations. The formation of human-centric approaches in management strategies ensures that businesses remain adaptable to rapid changes while maintaining a focus on people. The incorporation of digital configurations allows for greater control over complex organizational systems, fostering flexibility and responsiveness. Additionally, models like Haken’s framework help assess socio-economic conditions, enabling regions to make informed decisions about growth and sustainability. The influence of market dynamics, particularly the effects of demand and cost fluctuations in oligopolistic markets, underscores the complexity of contemporary business ecosystems. Moreover, optimization techniques such as those employed in airline crew scheduling demonstrate the potential for enhanced efficiency when driven by advanced algorithms. Finally, the creation of cargo port risk management models illustrates how technology can mitigate systemic vulnerabilities. In Part II, attention shifts to environmental and ecological challenges. Multidimensional statistical tools analyze agricultural productivity, while small data sample modeling aids in optimizing resource-intensive processes like floodwater management. Innovative machine learning methods further refine the prediction of river flows and other hydrological phenomena. Simulations of fine dust particle dynamics provide deeper insights into atmospheric turbulence, while analyses of vehicular emissions shed light on urban pollution patterns. Part III turns to healthcare innovations, highlighting the role of machine learning in detecting breast cancer risks. Features derived from diagnostic models enhance the precision of detection, and cyber-physical systems leverage thermographic imagery to predict malignancies with greater accuracy.

This book explores the rationale behind using incremental analog-to-digital converters (IADCs), delving into their theoretical principles, tradeoffs, and practical considerations in architectural and circuit design. The authors provide a general foundational knowledge, exploring the history of incremental operation and revising the working principle of free-running Delta-Sigma ADCs, in order to compare them with the incremental ADC. The IADC revises time- and frequency domain approaches to understand the incremental ADC as a periodically time-variant mixed-signal system. Various options for the reconstruction filter are revised together with system level design approaches and tools. The influence of non-idealities and countermeasures are analyzed and simulated. Enhanced architectures are finally explored and compared to give the reader a complete overview of the topic of Incremental ADCs.

This book presents finalists and winners of a research paper competition organized by Prognica Labs Tech Fzco and Dubai Technology Entrepreneur Centre (DTEC), an event held at DTEC, Dubai, UAE on 14th January, 2021. The book comprises contributions by research scholars, practitioners, students, and academics covering topics medical image analysis and how it is affected and advanced by artificial intelligence, computer vision, biomedical engineering, public healthcare services. The papers cover discussion, research, experiments, and application into the various topics. The book is useful for the research community, academicians, industrialists, and post graduate students. 

This book represents a comprehensive exploration of the most recent advancements and applications at the intersection of machine learning, cyber-physical systems, and industrial processes. This book is divided into four primary sections, each focusing on distinct yet interconnected themes. The first section, ML-Based Industrial Solutions, highlights the transformative role of machine learning in industrial settings. Topics include the optimization of neural network architectures for atypical load forecasting in power grid cyber-physical systems, the use of vector autoregressive models for analyzing and forecasting consumption indicators, soft sensor-based fault detection and diagnosis in mass transfer processes, and the implementation of ML-based digital twins for predictive diagnostics in thermal power plants. Next, the book turns its attention to cyber-space for equipment reliability. Here, readers will find discussions on software tools for reliability analysis and efficiency assessment of technological equipment, methods for evaluating energy consumption, reliability estimations for automated lines with inter-operational storage devices, and the application of ANFIS network-based fuzzy expert systems for diagnosing power equipment defects. Additionally, this section includes considerations regarding the structure of knowledge models for solving control tasks in plants with parametric uncertainty. The third section, Unmanned Robotics, dives into the exciting world of autonomous systems. It covers topics such as modeling the optimal trajectory of reusable spacecraft entering the Earth's atmosphere, developing new methods for small unmanned helicopter emergency landings in case of onboard equipment failures, robust trajectory tracking control of nonholonomic wheeled mobile robots with external disturbances, and assessing the efficiency of passenger transportation in cyber-transport systems based on unmanned electric cars. Finally, the book concludes with a thorough examination of cybersecurity. The book is an essential resource for researchers, engineers, and professionals engaged in industrial automation, cyber-physical systems, and related disciplines.

This textbook offers a journey through the complex world of turbulent flows, beginning with their physical characteristics and progressing through the mathematical foundations of fluid dynamics. Readers will explore the transition to turbulence, spectral analysis, and the Kolmogorov theory, gaining insight into the nature and behavior of turbulent structures. The book then delves into advanced modeling techniques, including URANS and LES methodologies, addressing the closure problem and presenting various turbulence models—from zero-equation to hybrid approaches. With detailed theoretical formulations, practical case studies, and exercises throughout, this comprehensive resource equips students, researchers, and engineers with the tools to understand, simulate, and analyze turbulent flow phenomena in both academic and applied contexts.

This book is intended for anyone interested in the evolving landscape of engineering technology, particularly as it highlights the invaluable contributions of women in this field. By offering a unique perspective on a group of faculty, current and past students, the book not only inspires students to explore diverse career paths but also serves as a vital resource for mentors navigating the complexities of guiding young minds during pivotal moments in their education. The authors delve into the challenges and opportunities within and paths to engineering technology, providing practical insights and fostering a spirit of problem-solving and innovation. Reading this book means investing in a future where different voices are celebrated, and aspiring students are empowered to pursue their passions with confidence and clarity.

This book gathers the proceedings of the 11th International Conference on E-Health and Bioengineering, EHB2023, held in hybrid form on November 9–10, 2023, in/from Bucharest, Romania. This second volume of a 3-volume set reports on methods for and results from health technology assessment processes, on advances in biosignal processing, medical imaging, informatics and big data in medicine, and current knowledge concerning the design and evaluation of medical devices. It addresses a broad audience of researchers and professionals working at the interface between medicine, informatics, bioengineering, and electrical and mechanical engineering.

This book reports on cutting-edge research on social and occupational ergonomics, presenting innovative contributions to the optimization of sociotechnical management systems related to organizational, policy, and logistical issues. It discusses timely topics related to communication, crew resource management, work design, participatory design, as well as teamwork, community ergonomics, cooperative work, and warning systems, and explores new work paradigms, organizational cultures, virtual organizations, telework, and quality management. The book also describes pioneering infrastructures implemented for different purposes such as urban, health, and enterprise, and examines the changing role of automated systems, offering innovative solutions that address the needs of particular populations. Based on the AHFE 2018 International Conference on Social and Occupational Ergonomics, held in Orlando, Florida, USA on July 21–25, 2018, the book provides readers with a comprehensive overview of the current challenges in both organizational and occupational ergonomics, highlighting key connections between them and underlining the importance of emotional factors in influencing human performance.