Resource Allocation in Next-Generation Broadband Wireless Access Networks


Book Description

With the growing popularity of wireless networks in recent years, the need to increase network capacity and efficiency has become more prominent in society. This has led to the development and implementation of heterogeneous networks. Resource Allocation in Next-Generation Broadband Wireless Access Networks is a comprehensive reference source for the latest scholarly research on upcoming 5G technologies for next generation mobile networks, examining the various features, solutions, and challenges associated with such advances. Highlighting relevant coverage across topics such as energy efficiency, user support, and adaptive multimedia services, this book is ideally designed for academics, professionals, graduate students, and professionals interested in novel research for wireless innovations.




Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities


Book Description

By the end of the decade, approximately 50 billion devices will be connected over the internet using multiple services such as online gaming, ultra-high definition videos, and 5G mobile services. The associated data traffic demand in both fixed and mobile networks is increasing dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within this development stems from network operators having difficulties finding cost-effective next-generation optical network solutions that can match future high capacity demand in terms of data, reach, and the number of subscribers to support multiple network services on a common network infrastructure. Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities is an essential reference source that discusses the next generation of high capacity passive optical access networks (PON) in terms of design, implementation, and analysis and offers a complete reference of technology solutions for next-generation optical networks. Featuring research on topics such as artificial intelligence, electromagnetic interface, and wireless communication, this book is ideally designed for researchers, engineers, scientists, and students interested in understanding, designing, and analyzing the next generation of optical networks.




Broadband Wireless Access Networks for 4G: Theory, Application, and Experimentation


Book Description

With the increased functionality demand for mobile speed and access in our everyday lives, broadband wireless networks have emerged as the solution in providing high data rate communications systems to meet these growing needs. Broadband Wireless Access Networks for 4G: Theory, Application, and Experimentation presents the latest trends and research on mobile ad hoc networks, vehicular ad hoc networks, and routing algorithms which occur within various mobile networks. This publication smartly combines knowledge and experience from enthusiastic scholars and expert researchers in the area of wideband and broadband wireless networks. Students, professors, researchers, and other professionals in the field will benefit from this book’s practical applications and relevant studies.




Paving the Way for 5G Through the Convergence of Wireless Systems


Book Description

In the ever-evolving telecommunication industry, smart mobile computing devices have become increasingly affordable and powerful, leading to significant growth in the number of advanced mobile users and their bandwidth demands. Due to this increasing need, the next generation of wireless networks needs to enable solutions to bring together broadband, broadcast, and cellular technologies for global consumers. Paving the Way for 5G Through the Convergence of Wireless Systems provides innovative insights into wireless networks and cellular coexisting solutions that aim at paving the way towards 5G. Through examining data offloading, cellular technologies, and multi-edge computing, it addresses coexistence problems at different levels (i.e., physical characteristics, open access, technology-neutrality, economic characteristics, healthcare, education, energy, etc.), influencing networks to provide solutions for next generation wireless networks. Bridging research and practical solutions, this comprehensive reference source is ideally designed for graduate-level students, IT professionals and technicians, engineers, academicians, and researchers.




Studies on Single and Double Actuator Based DC Attraction Type Levitation Systems: Optimization Techniques


Book Description

The field of DC attraction-type levitation systems (DCALS) faces challenges that hinder its optimal performance in various industrial applications, stemming from inherent instability, nonlinearity, and unmodeled dynamics. To address these issues, Studies on Single and Double Actuator Based DC Attraction Type Levitation Systems: Optimization Techniques by Dr. Rupam Bhaduri provides a comprehensive solution. This book offers an in-depth analysis, design, and optimization of DCALS, with a focus on single and double actuator systems. Through advanced optimization techniques and interdisciplinary approaches, Dr. Bhaduri equips academic scholars, researchers, and engineering professionals with the necessary knowledge and tools to overcome system complexities, achieve stability, and ensure precise control in levitation systems. By leveraging the insights presented in this invaluable resource, scholars can contribute to the advancement of DCALS through innovative research and development. The book caters to individuals specializing in electromagnetism, electronics, power electronics, mechanical engineering, and control systems, who seek a deeper understanding of DC attraction-type levitation systems. With its interdisciplinary approaches and emphasis on optimization techniques, this book unlocks the full potential of DCALS, enabling precise control and stability in industrial applications. Embracing the concepts and methodologies outlined in this book will empower scholars to overcome challenges, drive progress, and make significant contributions to the field of DC attraction-type levitation systems.




Harnessing Digital Innovation for Air Transportation


Book Description

The aviation industry faces an unprecedented challenge – the digital transformation revolution. While digital technologies promise immense benefits in terms of efficiency, safety, and passenger experience, they also bring forth intricate challenges. Navigating through complex regulatory frameworks and safeguarding against cybersecurity risks has become a paramount concern for aviation professionals and academics alike. The industry's future success hinges on its ability to adapt to this digital revolution while effectively managing the potential pitfalls it presents. Harnessing Digital Innovation for Air Transportation emerges as a timely and comprehensive solution for academic scholars in aviation management. It offers a profound exploration of how digital innovations are shaping various facets of aviation and provides in-depth strategies to address the challenges presented by this digital revolution. From understanding the impact of digital transformation to harnessing data analytics, managing safety, enhancing the passenger experience, and delving into emerging technologies, this book equips readers with the knowledge and tools to thrive in the digital age of aviation.




Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability


Book Description

Academic scholars engaged in machining polymer matrix composites face challenges due to material property variations, complex structures, and the pursuit of high surface quality. The lack of comprehensive resources further hampers their ability to develop efficient and sustainable machining techniques. Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability, edited by Francisco Mata Cabrera and Issam Hanafi, offers a comprehensive solution. This book provides practical knowledge on tool selection, cutting parameters, surface quality, and tool wear, empowering scholars to overcome the intricacies of machining these materials. With insights into turning, milling, drilling, grinding, and advancements in high-speed and ultrasonic machining, the book equips scholars with a comprehensive toolbox for optimizing their machining techniques. The book goes beyond technique to address environmental impact, covering topics such as energy consumption, waste generation, and emissions. Through case studies, it offers practical applications and valuable insights into the challenges and opportunities of machining polymer matrix composites. This comprehensive solution, encompassing knowledge, practical guidance, and sustainability considerations, empowers academic scholars to achieve high-quality machined components while minimizing their environmental footprint. Regardless of their expertise level, whether beginners seeking fundamental understanding or experienced professionals in need of advanced insights, scholars will find this book an indispensable resource. By covering tool selection, cutting parameters, surface quality, and environmental impact, Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability equips scholars with the necessary tools to excel in machining polymer matrix composites.




Application and Adoption of Robotic Process Automation for Smart Cities


Book Description

In the present era, technological developments are increasing the efficiency and potential of each stakeholder in a business. Robotic process automation is one of the key areas that can be applied in business organizations and corporate sectors to enhance productivity and show a path to success. Application and Adoption of Robotic Process Automation for Smart Cities provides relevant theoretical frameworks and various developments in the area of robotic process automation. Covering topics such as banking and financial services, public engagement, and smart cities, this premier reference source is a valuable resource for business leaders, IT managers, government officials, engineers, students and educators of higher education, researchers, and academicians.




Advancements in Fuzzy Reliability Theory


Book Description

In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as other important domains in order to evaluate the uncertainty of real-life systems. Fuzzy reliability has proven to have effective tools and techniques based on real set theory for proposed models within various engineering fields, and current research focuses on these applications. Advancements in Fuzzy Reliability Theory introduces the concept of reliability fuzzy set theory including various methods, techniques, and algorithms. The chapters present the latest findings and research in fuzzy reliability theory applications in engineering areas. While examining the implementation of fuzzy reliability theory among various industries such as mining, construction, automobile, engineering, and more, this book is ideal for engineers, practitioners, researchers, academicians, and students interested in fuzzy reliability theory applications in engineering areas.




Meta-Learning Frameworks for Imaging Applications


Book Description

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications, experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.