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.