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  • image of The Role of 6G and Beyond on the Road to Net-Zero Carbon
    The Role of 6G and Beyond on the Road to Net-Zero Carbon
    • Editors: Muhammad Ali Imran; Ahmad Taha; Shuja Ansari; Muhammad Usman; Qammer H. Abbasi
    • Publication Year: 2023
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      In the race against climate change, the focus has turned towards achieving the 2050 net-zero carbon target. Achieving net-zero means balancing between the amount of greenhouse gas removed from the atmosphere and those produced and released. Efforts are needed on both sides to find suitable solutions to reduce released emissions and to remove current emissions from the atmosphere. A collective effort revolving around the utilisation of new technologies, particularly in wireless and mobile communications, is needed to achieve the net-zero carbon target.

      The previous generations of mobile connectivity have already played a crucial role in reducing emissions through such means as smart metering and remote working. Numerous studies have highlighted how vital 5G technology is in mitigating climate change and accelerating the way to net-zero. This is due to the potential 5G technology has in bringing increasing data rates, massive machine type communication, and ultra-low latency. As 5G is rolling out, researchers are researching how the 6th generation of mobile networks (6G) will take the advantages of 5G even further.

      This book focuses on the potential of 6G to further expedite the achievement of net-zero. The authors cover the latest research efforts made in utilising 6G technology to solve real societal problems and to thought provoke researchers and scientists in proposing innovative ideas on how 6G can help with the fight against climate change.

      The book is geared towards researchers, engineers, scientists, technology professionals and advanced students in the fields of wireless communication, energy management, green tech and sustainability with a focus on net-zero carbon. It will also serve as an advanced textbook for postgraduate students in mobile communications and energy-related disciplines, and it will be useful to policy makers, 5G and 6G stakeholders, regulators, institutional actors and research agencies to support them in incorporating green sustainable mobile communication networks in their plans for net-zero targets.

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  • image of Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications
    Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications
    • Editors: Pethuru Raj; Utku Köse; Usha Sakthivel; Susila Nagarajan; Vijanth S. Asirvadam
    • Publication Year: 2023
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      The world is keen to leverage multi-faceted AI techniques and tools to deploy and deliver the next generation of business and IT applications. Resource-intensive gadgets, machines, instruments, appliances, and equipment spread across a variety of environments are empowered with AI competencies. Connected products are collectively or individually enabled to be intelligent in their operations, offering and output.

      AI is being touted as the next-generation technology to visualize and realize a bevy of intelligent systems, networks and environments. However, there are challenges associated with the huge adoption of AI methods. As we give full control to AI systems, we need to know how these AI models reach their decisions. Trust and transparency of AI systems are being seen as a critical challenge. Building knowledge graphs and linking them with AI systems are being recommended as a viable solution for overcoming this trust issue and the way forward to fulfil the ideals of explainable AI.

      The authors focus on explainable AI concepts, tools, frameworks and techniques. To make the working of AI more transparent, they introduce knowledge graphs (KG) to support the need for trust and transparency into the functioning of AI systems. They show how these technologies can be used towards explaining data fabric solutions and how intelligent applications can be used to greater effect in finance and healthcare.

      Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications is aimed primarily at industry and academic researchers, scientists, engineers, lecturers and advanced students in the fields of IT and computer science, soft computing, AI/ML/DL, data science, semantic web, knowledge engineering and IoT. It will also prove a useful resource for software, product and project managers and developers in these fields.

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  • image of Intelligent Multimedia Processing and Computer Vision: Techniques and applications
    Intelligent Multimedia Processing and Computer Vision: Techniques and applications
    • Editors: Shyam Singh Rajput; Chen Chen; Karm Veer Arya
    • Publication Year: 2023
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      Intelligent multimedia involves the computer processing and understanding of perceptual input from speech, text, videos and images. Reacting to these inputs is complex and involves research from engineering, computer science and cognitive science. Intelligent multimedia processing deals with the analysis of images and videos to extract useful information for numerous applications including medical imaging, robotics, remote sensing, autonomous driving, AR/VR, law enforcement, biometrics, multimedia enhancement and reconstruction, agriculture, and security. Intelligent multimedia processing and computer vision have seen an upsurge over the last few years. With the increasing use of intelligent multimedia processing techniques in various sectors, the requirement for fast and reliable techniques to analyse and process multimedia content is increasing day by day.

      Intelligent Multimedia Processing and Computer Vision: Techniques and applications reviews cutting edge research in the areas of intelligent multimedia processing and computer vision techniques and applications with a particular emphasis on interdisciplinary approaches and novel solutions. The book is aimed at practicing engineers, scientists, technology professionals, researchers and advanced students in the fields of multimedia processing and security, image processing, computer vision, biometrics, intelligent and smart technologies, machine learning and deep learning, and autonomous systems.

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  • image of Personal Knowledge Graphs (PKGs): Methodology, tools and applications
    Personal Knowledge Graphs (PKGs): Methodology, tools and applications
    • Editors: Sanju Tiwari; François Scharffe; Fernando Ortiz-Rodríguez; Manas Gaur
    • Publication Year: 2023
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      Since the development of the semantic web, knowledge graphs (KGs) have been used by search engines, knowledge-engines and question-answering services as well as social networks. A knowledge graph, also known as a semantic network, represents and illustrates a network of real-world entities such as objects, events, situations, or concepts and the relationships between them. This information is usually stored in a graph database and visualized as a graph structure, prompting the term "knowledge graph". Knowledge graphs structure the information of entities, their properties and the relation between them.

      Personal knowledge graphs (PKG) encode the same information at an individual level and therefore vary widely. PKGs require the processing of each person's individual information and is constructed in an automated fashion. Once a PKG is constructed, it will be integrated in broader purpose KGs. A PKG is a representation of all relevant common-sense knowledge and personal data for a user and can support the development of innovative applications such as a digitalized personalized coach. It empowers stakeholders to make more effective decisions.

      This book explores in a structured manner the global advanced research around PKGs to support the development of innovative digitalized personalized applications such as personal banking, personalized book-keeping, daily health-related activities monitoring and goal management tracking. The authors present methodologies, tools and applications including innovative topics tailored for PKGs such as named entity recognition and linking, construction approaches, modelling of personalization and context-awareness, evaluation approaches, relation extraction techniques, query answering in user specific knowledge graphs, knowledge representation and reasoning (KRR), visualization tools, integration tools and techniques, and fact summarization.

      The book provides systematic coverage of this complex topic for researchers, scientists and engineers in both industry and academia working in data science, ICTs, knowledge engineering, semantic web, reasoning, information retrieval, and machine and deep learning with a focus on knowledge graphs. Advanced students with an interest in the field will also find this to be a useful resource.

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  • image of Multistatic Passive Radar Target Detection: A detection theory framework
    Multistatic Passive Radar Target Detection: A detection theory framework
    • Author(s): Amir Zaimbashi  and  Mohammad Mahdi Nayebi
    • Publication Year: 2023
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      This book is devoted to target detection in a class of radar systems referred to as passive multistatic radar. This system is of great interest in both civilian and military scenarios due to many advantages. First, this system is substantially smaller and less expensive compared to an active radar system. Second, the multistatic configuration improves its detection and classification capabilities. Finally, there are many signals available for passive sensing making them hard to avoid.

      Multistatic Passive Radar Target Detection: A detection theory framework focuses on examining the multistatic passive radar target detection problem using the detection-theory framework, with the aim of presenting the latest research developments in this field. Early methods were based on intuition and lacked optimality, however, more recent methods with a clear theoretical basis have emerged, based on detection theory. The book offers timely and useful information to advanced students, researchers, and designers of passive radar (PR) systems.

      The book is organized into four parts, with each part addressing a specific aspect of target detection in various radar systems. The first part, consisting of two chapters, covers the fundamentals of PR and traditional target detection algorithms. Part two comprises seven chapters and deals with the target detection issue in passive bistatic radar (PBR) with a reliable reference channel. Part three includes two chapters and focuses on the detection of targets in multistatic PR systems in the presence of noisy reference channels. Finally, part four, which consists of two chapters, discusses the target detection problem in multistatic and MIMO PRs when no reliable reference channel is available.

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  • image of Energy Harvesting for Wireless Sensing and Flexible Electronics through Hybrid Technologies
    Energy Harvesting for Wireless Sensing and Flexible Electronics through Hybrid Technologies
    • Author(s): Muhammad Iqbal ; Brahim Aïssa ; Malik Muhammad Nauman
    • Publication Year: 2023
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      As wearable microelectronics are becoming ubiquitous, there is a growing interest in replacing batteries with a means of harnessing power from the user's environment via embedded systems. Efforts have been made to prolong the harvester's operational lifetime, overcoming energy dissipation, lowering resonant frequency, attaining multi-resonant states, and widening the operating frequency bandwidth of the biomechanical energy harvesters. Such technological advances mean harvesting energy is a viable solution for sustainably powering wearable electronics for health and wellbeing applications, such as continuous medical health monitoring, remote sensing, and motion tracking.

      The book introduces the concepts of vibration-based piezoelectric, electromagnetic and hybrid energy harvesters, and addresses their modelling, fabrication and characterization. It covers the fundamental principles and details the most advanced functions, including biomechanical and space applications. Detailed descriptions and explanations of a wide range of related concepts are provided, such as multi-degrees of freedom hybrid piezo-electromagnetic insole energy harvesters, non-linear 3D printed electromagnetic vibration energy harvesters, and finite element analysis of hybrid piezoelectric and electromagnetic energy harvesting. Also included are trends towards design, modelling, fabrication, and characterization of nonlinear multimodal electromagnetic and hybrid piezo-electromagnetic insole energy harvesters, as well as describing and explaining electromagnetic and hybrid piezo-electromagnetic energy harvesting technologies. The book provides an extensive and up-dated survey of the published scientific and technical articles and conference reports, covering more than 340 references. The book concludes with an outlook from the authors on likely future developments and applications.

      Energy Harvesting for Wireless Sensing and Flexible Electronics through Hybrid Technologies provides in-depth coverage of the topic for researchers from academia and industry, as well as advanced students with an interest in the field.

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  • image of Technologies for Healthcare 4.0: From AI and IoT to blockchain
    Technologies for Healthcare 4.0: From AI and IoT to blockchain
    • Editors: Karthik Ramamurthy; Suganthi Kulanthaivelu; Kulandairaj Martin Sagayam; Soumi Dutta; Paryati
    • Publication Year: 2023
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      There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity across the healthcare ecosystem. The success of joined-up care relies on patient data being shared between all active stakeholders, including hospitals, outreach workers, and GPs. All these needs and challenges pave the way for the next trend of development in healthcare - healthcare 4.0.

      This book covers the state-of-the-art approaches in AI, IOT, cloud, big data, deep learning, and blockchain for building intelligent healthcare 4.0 systems, which provide effective healthcare services in real-time.

      The editors consider the benefits and challenges of immersive technologies and mixed reality systems for physical and mental health conditions, and outline and discuss the trending technologies supporting the internet of medical things, patient-centred care, assisted medical diagnoses, and electronic medical records.

      Technologies for Healthcare 4.0: From AI and IoT to blockchain is essential reading for researchers, scientists, engineers, designers and advanced students in the fields of computer science, computer vision, pattern recognition, machine learning, imaging, feature engineering, IOT, AI, signal processing, blockchain and big data for healthcare and those in adjacent fields.

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  • image of Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications
    Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications
    • Editors: Ahmed A. Abd El-Latif; Mohammed Adel Hammad; Yassine Maleh; Brij B. Gupta; Wojciech Mazurczyk
    • Publication Year: 2023
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      The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks.

      This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including machine and deep learning architectures, emerging applications and ethical and legal concerns. Topics include federated learning for enhanced cybersecurity; artificial intelligence-based biometric authentication using ECG signal; deep learning for email phishing detection methods; biometrics for secured IoT systems; intelligent authentication using graphical one-time-passwords; and AI in social cybersecurity.

      Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications is aimed at artificial intelligence, biometrics and cybersecurity experts, industry and academic researchers, network security engineers, cybersecurity professionals, and advanced students and newcomers to the field interested in the newest advancements in artificial intelligence for cybersecurity and biometrics.

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  • image of Deep Learning in Medical Image Processing and Analysis
    Deep Learning in Medical Image Processing and Analysis
    • Editors: Khaled Rabie; Chandran Karthik; Subrata Chowdhury; Pushan Kumar Dutta
    • Publication Year: 2023
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      Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify.

      Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties.

      Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed.

      Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.

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  • image of Green HV Switching Technologies for Modern Power Networks
    Green HV Switching Technologies for Modern Power Networks
    • Editor: Kaveh Niayesh
    • Publication Year: 2023
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      In modern power networks with high shares of renewable energy sources, and a mixture of alternating (AC) and direct current (DC) technology in different sections of the network, power switching devices are exposed to more and different stresses compared with those in conventional AC networks.

      Another pressure on power switching equipment is to minimize their long-term environmental impact, for example, to relinquish the use of SF6 with its high global warming potential. Solutions are either based on vacuum switching devices modified for higher voltages or on environmentally benign alternative gases.

      This book systematically and thoroughly conveys the recent advances in the field of green HV switching technologies for an audience of researchers, engineers, senior students and professionals working on high voltage equipment at utilities and manufacturers. Chapters are written by leading scientists and professionals from manufacturing companies and testing organizations.

      Green HV Switching Technologies for Modern Power Networks begins with an introduction to the topic, followed by chapters covering requirements for HV circuit breakers, aspects related to DC switching and high penetration of renewables, environmentally friendly high voltage vacuum circuit breakers, SF6-free gas circuit breakers, DC switching devices, as well as open research questions and future trends.

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  • image of Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
    Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
    • Editors: Rajeev Arya; Sangeeta Singh; Maheshwari P. Singh; Brijesh R. Iyer; Venkat N. Gudivada
    • Publication Year: 2023
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      We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary.

      Nature-inspired computing is oriented towards the application of outstanding information-processing aptitudes of the natural realm to the computational domain. The discipline of nature-inspired optimization algorithms is a major field of computational intelligence, soft computing and optimization. Metaheuristic search algorithms with population-based frameworks are capable of handling optimization in high-dimensional real-world problems for several domains including imaging, IoT, smart manufacturing, and healthcare. The integration of intelligence with smart technology enhances accuracy and efficiency. Smart devices and systems are revolutionizing the world by linking innovative thinking with innovative action and innovative implementation.

      The aim of this edited book is to review the intertwining disciplines of nature-inspired computing and bio-inspired soft-computing (BISC) and their applications to real world challenges. The contributors cover the interaction between metaheuristics, such as evolutionary algorithms and swarm intelligence, with complex systems. They explain how to better handle different kinds of uncertainties in real-life problems using state-of-art of machine learning algorithms. They also explore future research perspectives to bridge the gap between theory and real-life day-to-day challenges for diverse domains of engineering.

      The book will offer valuable insights to researchers and scientists from academia and industry in ICTs, IT and computer science, data science, AI and machine learning, swarm intelligence and complex systems. It is also a useful resource for professionals in related fields, and for advanced students with an interest in optimization and IoT applications.

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  • image of Human-Robot Collaboration: Unlocking the potential for industrial applications
    Human-Robot Collaboration: Unlocking the potential for industrial applications
    • Editors: Zoe Doulgeri; Fotios Dimeas
    • Publication Year: 2023
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      Human-robot collaboration (HRC) is a widely studied research topic that investigates how humans and robots can work together and achieve a common goal. Over the past few years, HRC has created exciting new applications for robots that can revolutionize manufacturing and introduce them to entirely different domains such as healthcare and agriculture. It is an interdisciplinary research area comprising robotics, artificial intelligence, design and cognitive sciences.

      Industrial applications of human-robot collaboration involve collaborative robots which physically interact with humans in shared workspaces to complete tasks such as collaborative manipulation or object handovers. However, in industry to date, HRC has been adopted at a slower pace than expected as collaborative robots need to be safe for interaction with humans. At the same time, they need to be easily programmed by non-experts and to operate in an intelligent and adaptive way.

      In this book we present some of the latest state-of-the-art advances in the area of human-robot collaboration, aiming at future industrial applications. The book will be useful for advanced students, researchers, engineers, developers and entrepreneurs interested in human-robot collaboration research and technologies.

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  • image of Blockchain Technology for Secure Social Media Computing
    Blockchain Technology for Secure Social Media Computing
    • Editors: Robin Singh Bhadoria; Neetetsh Saxena; Bharti Nagpal
    • Publication Year: 2023
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      Blockchain is a digital ledger of transactions duplicated and distributed across an entire network of computer systems on the blockchain which makes it more difficult to hack or tamper with. The popularity of blockchain has been increasing with the growth of social media and the internet of things (IoT). Social media are interactive digitally mediated technologies that facilitate the creation or sharing and exchange of information, ideas, opinions and interests via virtual communities and social network platforms. However, unmonitored social accounts can be the target of hackers who post fraudulent messages or virus-infected links that spread to contacts and followers, and "employee weakness" is responsible for 20% of cyberattacks in companies. So, it has become essential to secure both personal and professional social media networks, accounts and data.

      Blockchain Technology for Secure Social Media Computing covers recent advances, trends and future opportunities in the security framework of social media-computing. The contributors focus on how to protect social media platforms, and present methods for making social media computing more reliable and effective to achieve trusted IoT-based social computing with blockchain technology.

      The book is aimed at an advanced research audience in industry and academia focused on blockchain technology and social media computing working in cybersecurity, security data analytics, computer science, distributed computing, networking, internet of things and related fields of applications. It will be also of interest to application and software developers and project managers using blockchain technology and multiple encryptions.

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  • image of Theory and Methods for Distributed Data Fusion Applications
    Theory and Methods for Distributed Data Fusion Applications
    • Author(s): Felix Govaers
    • Publication Year: 2023
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      With the rise of digitalization, AI and modern data communication, engineering is increasingly challenged by the complexity of systems-of-systems, in which perception sensors have their own processing mechanism, information is merged at some centric entity, and cross-platform exchange of data is conceptualized in a holistic approach. Therefore, distributed architectures for data fusion, state estimation, and multi target tracking have been becoming increasingly important. The use of multiple sensors to perceive and compute the situational awareness picture leads to the generation of vast amounts of data, which need to be filtered, enriched, interpreted, and evaluated. This becomes infeasible without the notion of distributed algorithms.

      Theory and Methods for Distributed Data Fusion Applications first covers the fundamentals of stochastic motion, which constitutes the underlying models in target tracking and parameter estimation. The next chapter exposes the most important basic target tracking and state estimation algorithms and in the next those methods are extended to the estimation of full trajectories with states from multiple time stamps. Then the book introduces the problem of distributed fusion and presents first solutions to it. Then the final 3 chapters cover track fusion methods with unknown cross covariances, the Distributed Kalman Filter and its variants and finally methods for track-to-track association.

      This book is designed to provide state-of-the-art approaches and algorithms to the interested engineer for data fusion in distributed systems providing a profound understanding of the constraints, assumptions, benefits, and drawbacks. To this end, the derivation of each method is given in detail without omitting auxiliary calculations or intermediate steps.

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  • image of Cognitive Sensing Technologies and Applications
    Cognitive Sensing Technologies and Applications
    • Editors: G.R. Sinha; Bidyadhar Subudhi; Chih-Peng Fan; Humaira Nisar
    • Publication Year: 2023
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      Cognitive sensing systems combined with IoTs and smart technologies are used in countless applications such as industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars and smart energy systems.

      With contributions from an international team of experts from a wide range of research areas including sensing, computer vision, signal processing and device and control applications, this book highlights the emerging role of cognitive sensors in a growing number of real time applications including smart health, smart cities, smart transportation and smart agriculture.

      The volume will be suitable for a broad audience of researchers in the fields of smart sensing, signal processing, automation and robotics, environmental engineering, energy engineering, biomedical engineering and allied disciplines where smart sensors are part of the curriculum.

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  • image of Medical Equipment Engineering: Design, manufacture and applications
    Medical Equipment Engineering: Design, manufacture and applications
    • Editor: Wai Yie Leong
    • Publication Year: 2023
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    • p. (1)

      The evolution of medical equipment engineering is progressing rapidly, with advances in digital healthcare technologies such as artificial intelligence, virtual/augmented reality, 3D-printing, robotics and nanotechnologies developing at pace. Medical equipment engineering can assist in surveying workplace inefficiencies, and develop efficient optimisation processes, through data research and intelligent learning automation. This edited book covers the benefits of the integration of lean manufacturing, smart sensors, 5G technology, IoTs, virtual reality, 3D printing, robotics and automation.

      Medical Equipment Engineering: Design, manufacture and applications discusses the technological requirements that bring robots closer to humans in smart equipment manufacturing environments where computer-integrated equipment manufacturing, high levels of adaptability and rapid equipment design changes are successfully integrated with digital information technology, while ensuring that these new processes still protect worker safety.

      A holistic view of medical equipment engineering will affect many areas, most notably: equipment services and engineering business models, equipment reliability and continuous productivity, machine safety, standards and maintenance, IT security and equipment product lifecycles. Topics such as industry value chain, industry demonstration and technicians and workers' education and skills will also be explored.

      This book is essential reading for all engineers and designers working in medical equipment manufacturing, and related fields such as AI, virtual reality, smart sensors, 3D printing, robotics and automation.

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  • image of Photovoltaic Technology for Hot and Arid Environments
    Photovoltaic Technology for Hot and Arid Environments
    • Editors: Brahim Aïssa; Nouar Tabet
    • Publication Year: 2023
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      The need to reduce greenhouse gas emissions and dependency on fossil fuels necessitates accelerated deployment of renewable energy, such as photovoltaics (PV). Regions with high insolation in the "Sun Belt" covering north Africa and the middle east, as well as in Australia, parts of Latin America, and elsewhere offer tremendous potential for PV, including for green hydrogen production. However, these regions are characterized by a hot climate and a dusty environment, both causing reduction of PV panel performance by 25% or more. The development of solar cells with enhanced resistance to thermal degradation and the reduction of panel soiling have therefore been subjects of intense study.

      Key developments include optimisation of the temperature coefficient of heterojunction solar cells, developing cells of higher open circuit voltage that are expected to show lower reduction of the panel efficiency at high temperatures, and analysis of soiling effects for better predictability and countermeasures. Based in part on research undertaken at Qatar Environment and Energy Research Institute (QEERI), and with contributions from chapter authors from a range of international institutions, this book addresses recent trends and developments in its field. Chapters revise solar energy resources and PV principles and thermodynamics, solar cell and module technology, bifacial solar cells, and soiling. A case study from Australia is followed by conclusions and future outlooks.

      Photovoltaic Technology for Hot and Arid Environments covers developments in the field for researchers and experts in industry and academia, and advanced students with an interest in the topic.

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  • image of Processing and Manufacturing of Electrodes for Lithium-Ion Batteries
    Processing and Manufacturing of Electrodes for Lithium-Ion Batteries
    • Editors: Jianlin Li; Congrui Jin
    • Publication Year: 2023
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      Lithium-ion batteries (LIBs) are key to storing clean energy. However, process design, including electrode processing, is critical for performance. There are many reviews addressing material development for LIBs, but comparatively few on correlating the material properties with processing design and constraints. While these technologies are becoming familiar in industry, they are not yet widely accessible to the research community.

      This book provides a comprehensive and critical view of electrode processing and manufacturing for Li-ion batteries. Coverage includes electrode processing and cell fabrication with emphasis on technologies, relation between materials properties and processing design, and scaling up from lab to pilot scale. Outlining the whole process of Li-ion battery fabrication, chapters cover materials for Li-ion batteries, slurry preparation, coating, laser materials processing, additive manufacturing, dry processing, electrode drying, aqueous cathode processing, electrolyte filling and formation of cells, simulation-assisted electrode processing, as well as quality control.

      Processing and Manufacturing of Electrodes for Lithium-Ion Batteries bridges the gap between academic development and industrial manufacturing, and also outlines future directions to Li-ion battery electrode processing and emerging battery technologies. It will be an invaluable resource for battery researchers in academia, industry and manufacturing as well as for advanced students in related subjects.

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  • image of Security and Privacy Schemes for Dense 6G Wireless Communication Networks
    Security and Privacy Schemes for Dense 6G Wireless Communication Networks
    • Editors: Agbotiname Lucky Imoize; Chandrashekhar Meshram; Dinh-Thuan Do; Seifedine Kadry; Lakshmanan Muthukaruppan
    • Publication Year: 2023
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      Fifth generation (5G) wireless networks are now commercialized, and the research focus has shifted towards sixth generation (6G) wireless systems. The integration of sensor nodes and massive machine type communication (MTC) devices (MDs) in ubiquitous 5G networks has facilitated the design of critical enabling technologies to support billions of data-hungry applications. By leveraging sensor nodes in wireless sensor networks (WSNs), sensitive user information can be harvested and transmitted to receivers via WSN-assisted channels, which are often not well secured. Consequently, sensitive user information can be intercepted and used unlawfully. The security and confidentiality measures used for data transmission over existing 5G WSN-assisted channels are limited. 6G systems are envisaged to face fiercer security challenges. In 6G wireless networks, a new set of sensing and precise localization techniques are predicted. Thus, the need to secure user information against adversarial attacks needs to be implemented at the design stage.

      The book proposes viable solutions to revamp traditional security architecture by addressing critical security challenges in commercialized 5G and envisioned 6G wireless communication systems. Expert contributors bring new insights into real-world scenarios for the deployment, applications and management of robust, secure, and efficient security schemes for massive devices in 6G wireless networks. Finally, the book discusses critical security and privacy issues affecting the wireless ecosystem and provides practical AI-based solutions.

      Security and Privacy Schemes for Dense 6G Wireless Communication Networks is an essential reference for industry and academic researchers; scientists, engineers, lecturers and advanced students in the fields of cybersecurity wireless communication and networking, network security, computing, data science, AI/ML/DL, and sensing, as well as cybersecurity professionals and 6G standardization experts.

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  • image of Mathematical Quantum Physics for Engineers and Technologists. Volume 1: Fundamentals
    Mathematical Quantum Physics for Engineers and Technologists. Volume 1: Fundamentals
    • Author(s): Alireza Baghai-Wadji
    • Publication Year: 2023
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      Continuing size reduction in mesoscopic and nanoscopic electronic, photonic, and plasmonic devices makes the employment of quantum physics (QP) and quantum electrodynamics (QED) inevitable. Engineers at the forefront of these fields increasingly need to have a working knowledge of QP and, more importantly, feel confident to manoeuver through the intricate calculations involved. However, electrical engineers and applied physicists are typically unfamiliar with the sophisticated mathematical apparatus in QP and QED, which is generally perceived to be formidably abstract.

      The Mathematical Quantum Physics for Engineers and Technologists volumes aim to explain the mathematical foundation of QP and QED to engineers using an engineer's mindset as the starting point, and following a new line of thinking based on clarity and obviousness. Written for an audience of researchers and advanced students in electrical engineering, computer science, applied mathematics and applied physics, the Mathematical Quantum Physics for Engineers and Technologists volumes guide readers towards acquiring a solid understanding of the mathematical intricacies of quantum physics and quantum electrodynamics.

      Volume 1 covers topics including the resolution of identity, generalized functions, bases, dual bases, frames, dual frames, generalized transforms and inverse transforms, operator gymnastics, canonical commutation relationships, standard and generalized creation and annihilation operators.

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