Wai Yie, Leong – författare

Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with electrodes placed along the scalp, requires relatively simple and inexpensive equipment, and is easier to use than other methods.EEG-based BCI methods provide modest speed and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and feature classification to discriminate among several mental tasks. This edited book presents state of the art aspects of EEG signal processing methods, with an emphasis on advanced strategies, case studies, clinical practices and applications such as EEG for meditation, auditory selective attention, sleep apnoea; person authentication; handedness detection, Parkinson's disease, motor imagery, smart air travel support and brain signal classification.

We are on the brink of another industrial transformation - one that builds upon the digital foundations of Industry 4.0 and reaches new heights with the emergence of Industry 5.0. Unlike its predecessor, which focused heavily on automation, cyber-physical systems, and the Internet of Things, Industry 5.0 shifts the paradigm toward human-centered solutions, blending the power of cutting-edge technologies with human creativity, expertise, and ethical considerations. This evolution is not merely technological; it is social and economic, reshaping how we live, work, and interact with our environment.The convergence of advanced artificial intelligence, robotics, 3D printing, and the Internet of Things is now being augmented with a renewed focus on collaboration between humans and machines. This human-machine synergy unlocks new potential in industries ranging from manufacturing to healthcare, from energy to education, as intelligent systems learn to complement, rather than replace, human ingenuity. The aim of Industry 5.0 is not only to enhance productivity but to create a more sustainable, ethical, and personalized approach to industrial processes.Industry 5.0: Design, standards, techniques and applications for manufacturing provides a comprehensive exploration of the key components that define this new industrial era. It is designed to serve as a foundational guide for engineers, designers, researchers, and policymakers who seek to understand and contribute to the future of Industry 5.0. Through an examination of its applications, innovative designs, emerging standards, and the latest techniques, this work offers a critical resource for those striving to navigate the complex yet exciting landscape of this revolution.

In an era defined by unprecedented environmental challenges, social inequalities, and corporate responsibility, the concept of Environmental, Social, and Governance (ESG) has emerged as a transformative force. It is a set of practices used to evaluate the operational performance of a company or industry sector as it relates to social and environmental impact.Manufacturing plays a key role in many areas of human living, and it is both part of the problem and of the solution. As manufacturing organizations grapple with the imperative to foster sustainability, ESG principles have evolved into a guiding framework. At the heart of this evolution lies technology, acting as a catalyst for ESG innovation and driving systemic change across manufacturing. This book seeks to explore the intersection of ESG and manufacturing technology.The environmental criterion looks at whether a company pollutes or implements sustainable practices. The social criterion considers how the company works with and impacts its employees, customers, suppliers and the community as a whole. Finally, the governance criterion looks at the company's leadership, its internal controls and audits, board governance oversight and executive pay.This ground-breaking collection will be a comprehensive educational tool, promoting awareness, guiding investment strategies, helping to manage risks, facilitating stakeholder engagement, ensuring regulatory compliance, measuring impacts, driving innovation, and promoting ethical leadership - all of which are essential for addressing pressing global challenges and building a more sustainable future.ESG Innovation for Sustainable Manufacturing Technology: Applications, designs and standards offers insights and diverse perspectives on this cross-disciplinary topic for an audience of researchers, advanced students and professionals in sustainable manufacturing.

Creating Smart and Safe Manufacturing Environments: The role of innovation and safety management is a comprehensive volume that bridges engineering, data science, occupational safety, and industrial automation to provide a structured blueprint for transforming conventional production systems into intelligent, resilient, and human-centric manufacturing ecosystems.The book addresses the critical convergence of cyber-physical systems (CPS), industrial internet of things (IIoT), artificial intelligence (AI), robotics, and digital twins, all designed to align with the requirements of industry 4.0 and the emerging ethos of industry 5.0. It emphasizes the integration of automation and safety as co-dependent design objectives, detailing the frameworks, standards, and architectures required to engineer environments that are not only efficient but fundamentally safe for human workers and autonomous systems.The book is a highly technical and application-driven reference for industrial engineers, plant designers, HSE professionals, and researchers. It combines state-of-the-art technology with regulatory insight and strategic vision to guide the creation of intelligent, ethical, and safe production systems.

Industry 4.0 refers to automation and data exchange in manufacturing technologies. From innovative research, challenges, solutions and strategies to real-world case studies, the aim of this edited book is to focus on the nine pillars of technology that are supporting the transition to Industry 4.0 and smart manufacturing. The nine pillars include the internet of things, cloud computing, autonomous and robotics systems, big data analytics, augmented reality, cyber security, simulation, system integration, and additive manufacturing. A key role is played by the industrial IoTs and state-of-the-art technologies such as fog and edge computing, advanced data analytics, innovative data exchange models, artificial intelligence, machine learning, mobile and network technologies, robotics and sensors.This book is a useful resource for an audience of academic and industry researchers and engineers, as well as advanced students in the fields of information and communication technologies, robotics and automation, big data analytics and data mining, machine learning, artificial intelligence, AR/VR/ER, cybersecurity, cyber physical systems, sensing and robotics with a focus on Industry 4.0, and smart manufacturing.

Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems. As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process. This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting more quickly to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs.This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including AI, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics.The book is aimed at researchers and engineers working on the applications of robotics and automation, HMI, HCI, CPS, sensing, information and communications technology, data science, ML/DL/AI, AR/VR, cybersecurity and electronics. It is also a useful reference for advanced students and lecturers in these fields, and will appeal to manufacturers and automation system developers.

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.