This book focuses on crucial characterization methods adopted for materials, design, and performance of secondary batteries. The book is divided into eight chapters aiming to provide comprehensive and essential guidance on battery characterizations. Each chapter focuses on a specific technique: electron microscopy, focused ion beam methods, atomic force microscopy, X-ray photoelectron spectroscopy, time-of-flight secondary ion mass spectra, neutron diffraction, synchrotron-radiation X-ray tomography, and ultrasonic nondestructive testing. Key Features · Comprehensive coverage of characterization techniques for secondary battery technology · Explains the working principle, essential functions and data analysis for each technique · In-depth review of recent applications of secondary batteries from both material and device perspectives · Detailed reference list for advanced readers This monograph is intended as a resource for the broad research community involved in materials and device testing for batteries at academic and industrial levels. It also serves as a reference for engineering students required to learn advanced characterization techniques for developing rechargeable battery technology.

Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. Key Features: - Addresses data privacy, secure communication, and adaptive solutions in IoV - Explores federated learning applications in real-time IoV systems - Combines practical examples with theoretical foundations in IoV technology - Includes emerging research areas in IoV federated learning frameworks

Bacterial Nanocellulose for Papermaking and Packaging explores the groundbreaking potential of bacterial nanocellulose (BNC) in the papermaking and packaging industries. It provides an in-depth overview of BNC`s unique properties, biosynthesis, and scalable production methods, highlighting its role as a sustainable, high-performance biomaterial. Special emphasis is placed on its applications, such as enhancing paper durability, fire resistance, barrier properties, and creating specialized paper products. Key Features: - Comprehensive analysis of BNC`s production methods, from lab-scale to industrial scale. - Insights into BNC`s transformative applications in papermaking, including as a reinforcing agent and coating material. - Exploration of BNC`s potential in developing advanced packaging solutions. - Discussion on challenges and future perspectives for sustainable and cost-effective BNC production.

Bridges’ Dynamics covers the historical review of research and introductory mathematical concepts related to the structural dynamics of bridges. The e-book explains the theory behind engineering aspects such as 1) dynamic loadings, 2) mathematical concepts (calculus elements of variations, the d’ Alembert principle, Lagrange’s equation, the Hamilton principle, the equations of Heilig, and the δ and H functions), 3) moving loads, 4) bridge support mechanics (one, two and three span beams), 5) Static systems under dynamic loading 6) aero-elasticity, 7) space problems (2D and 3D) and 8) absorb systems (equations governing the behavior of the bridge-absorber system). The e-book is a useful introductory textbook for civil engineers interested in the theory of bridge structures.

The Role of Network Security and 5G Communication in Smart Cities and Industrial Transformation explores the transformative power of 5G communication and network security in creating smarter, safer, and more sustainable urban and industrial ecosystems. This book highlights how 5G technology drives real-time connectivity for applications such as intelligent transportation, healthcare, energy management, and industrial automation while emphasizing the critical need for robust cybersecurity measures. The book integrates diverse topics, from 5G-enabled edge computing and blockchain-based healthcare systems to big data analytics and AI-powered security solutions. It offers insights into mitigating vulnerabilities, protecting data privacy, and building resilient infrastructures to support Industry 4.0 and sustainable smart cities. Designed for researchers, professionals, and policymakers, this resource provides practical strategies and forward-thinking perspectives on shaping a hyperconnected future. Key Features: - Explores 5G’s role in smart city and industrial applications. - Highlights cybersecurity challenges and solutions. - Examines healthcare innovations using 5G and blockchain. - Discusses big data and AI in secure mobile services. - Provides actionable insights for sustainable transformation.

Ground Improvement Techniques for Sustainable Engineering explores modern methods for enhancing soil strength and stability, emphasizing sustainable solutions in geotechnical engineering. This comprehensive book addresses challenges such as weak soils, low bearing capacity, and settlement issues while aligning with the Sustainable Development Goals (SDGs). It bridges traditional methods with cutting-edge advancements, providing an all-encompassing guide to ground improvement techniques. Key topics include compaction, soil stabilization, lime soil, stone columns, preloading with vertical drains, geosynthetics, soil nailing, micropiles, and ground anchors. Theoretical insights are paired with practical applications and case studies to demonstrate how these methods support resilient infrastructure while promoting environmental stewardship. Key Features: - Coverage of classical and advanced ground improvement techniques. - Integration of theoretical foundations, practical case studies, and innovative solutions. - Focus on sustainability in geotechnical engineering practices.

Semiconductor Nanoscale Devices: Materials and Design Challenges provides a comprehensive exploration of nanoscale technologies and semiconductor device design, focusing on innovative materials and advanced applications. It bridges classical and quantum concepts, offering insights into foundational materials, device architectures, and future technologies like biosensors, 6G communication, and photovoltaics. The book is organized into three sections: foundational concepts, methodologies and advancements, and next-generation applications. It emphasizes practical design, analytical modeling, and optimization for real-world applications, making it a valuable resource for professionals and researchers. Key Features: - Comprehensive coverage of nanoscale semiconductor device design challenges and innovations. - Focus on advanced materials and methodologies for cutting-edge technologies. - Practical insights into measurement techniques and device optimization. - In-depth exploration of emerging applications like 6G, biosensors, and photovoltaics.

Fatigue Analysis on Moving Bodies explores dynamic structural analysis of mechanical systems under transient conditions. It bridges theoretical foundations with practical applications, offering a comprehensive guide for engineers and students alike. Beginning with fundamental concepts in Chapters 1-3, the book progresses to advanced topics such as finite element methods and fatigue failure analysis (Chapters 4-7). It culminates in Chapter 8 with detailed analyses applicable to real-world scenarios like gear trains and vehicle suspensions. Key Features: - Comprehensive coverage of mechanical systems under transient loads - Mathematical derivations using Lagrange's equations and energy formulations - Application of finite element methods in dynamic analysis - In-depth exploration of fatigue failure mechanisms and analysis techniques

Thin-Film Transistor Reliability provides a comprehensive analysis of the reliability challenges in thin-film transistors (TFTs), essential components in modern electronics. Covering topics from fundamental structures to degradation mechanisms, this book equips researchers and engineers with the tools to assess, analyze, and improve TFT reliability. The book systematically explores key reliability concerns, including performance characterization, defect states, voltage stress effects, circuit-level degradation, and environmental influences. Advanced reliability analysis methods and practical improvement strategies are also discussed, offering insights into future developments. Key Features: - In-depth discussion of TFT degradation mechanisms and reliability concerns. - Comprehensive analysis techniques, including transfer curve and noise analysis. - Effects of DC/AC voltage stress, self-heating, and environmental factors. - Strategies for enhancing TFT reliability through structural modifications.

Federated Learning for Internet of Vehicles: IoV Image Processing, Vision, and Intelligent Systems (Volume 3) explores how federated learning is revolutionizing the Internet of Vehicles (IoV) by enabling secure, decentralized, and scalable solutions. Combining theoretical insights with practical applications, this book addresses key challenges such as data privacy, heterogeneous information, and network latency in IoV systems. This volume offers cutting-edge strategies to build intelligent, resilient vehicular systems, from privacy-enhanced data collection to blockchain-based payments, smart transportation systems, and vehicle number plate recognition. It highlights how federated learning drives advancements in secure data sharing, identity-based authentication, and real-time road safety improvements. Key Features: - In-depth exploration of federated learning applications in IoV. - Solutions for privacy, security, and scalability challenges. - Practical examples of blockchain integration and smart systems. - Insights into future research directions for IoV.