Xu Wang – författare

High standards of noise, vibration and harshness (NVH) performance are expected in vehicle design. Refinement is therefore one of the main engineering/design attributes to be addressed when developing new vehicle models and components.Vehicle noise and vibration refinement provides a review of noise and vibration refinement principles, methods, advanced experimental and modelling techniques and palliative treatments necessary in the process of vehicle design, development and integration in order to meet noise and vibration standards. Case studies from the collective experience of specialists working for major automotive companies are included to form an important reference for engineers practising in the motor industry who seek to overcome the technological challenges faced in developing quieter, more comfortable cars.The reader will be able to develop an in-depth knowledge of the source and transmission mechanisms of noise and vibration in motor vehicles, and a clear understanding of vehicle refinement issues that directly influence a customer's purchasing decision.Reviews noise and vibration refinement principles, methods and modelling techniques necessary in vehicle design, development and integration in order to meet noise and vibration standardsOutlines objectives driving development and the significance of vehicle noise and vibration refinement whilst documenting definitions of key terms for use in practiceCase studies demonstrate measurement and modelling in industry and illustrate key testing methods including hand sensing and environmental testing

Frequency Analysis of Vibration Energy Harvesting Systems aims to present unique frequency response methods for analyzing and improving vibration energy harvesting systems.

Vibration energy is usually converted into heat energy, which is transferred to and wasted in the environment. If this vibration energy can be converted into useful electric energy, both the performance and energy efficiency of machines, vehicles, and structures will be improved, and new opportunities will open up for powering electronic devices. To make use of ambient vibration energy, an effective analysis and design method is established and developed in this book.

The book covers a wide range of frequency response analysis methods and includes details of a variety of real-life applications. MATLAB programming is introduced in the first two chapters and used in selected methods throughout the book. Using the methods studied, readers will learn how to analyze and optimize the efficiency of vibration energy systems. This book will be ideal for postgraduate students and researchers in mechanical and energy engineering.

Covers a variety of frequency response analysis methods, including Fourier and Laplace transform, transfer function, integration and state space for piezoelectric and electromagnetic vibration energy harvesting analysis Provides coverage of new and traditional methods of analyzing and optimizing the power and efficiency of vibration energy harvesting systems, with MATLAB exercises provided throughout Demonstrates a wide range of real-life applications, such as ocean wave energy conversion, vehicle suspension vibration energy harvesting, and more

Automotive Tire Noise and Vibrations: Analysis, Measurement and Simulation presents the latest generation mechanisms of tire/road noise. The book focuses not only on tire/road noise issues from the tire/road structures, materials and dynamics, but also from a whole vehicle system. The analyses cover finite element modeling, mathematical simulations and experimental tests, including works done to mitigate noise. This book provides a summary of tire noise and vibration research, with a focus on new simulation and measurement techniques.

Covers new measurements techniques and simulation strategies that are critical in accurately assessing tire noise and vibration Provides recent simulation progress and findings of CAE on analysis of generation mechanisms of the tire/road noise Features a Statistical Energy Analysis (SEA) and model of a multilayer trim to enhance the sound absorption of tire/road noise

Automotive structural components are an important component that affects the performance of the entire vehicle. The light weight of automotive structural components is one of the sustainable solutions to energy and environmental issues, and the development technology of its core components and vehicle performance evaluation technology are its key development directions. To gradually replace traditional cars on a large scale, electric vehicles need to address the durability and reliability issues of the entire vehicle and key components. Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components helps readers understand how they can do this

In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows:Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanismsInnovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I)Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrityCollective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networksHolistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic managementFuture-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively.

In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows:Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanismsInnovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I)Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrityCollective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networksHolistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic managementFuture-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively.

This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics.

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.

This proceedings volume features a selection of peer-reviewed papers presented at the 6th AMMCS-International Conference on Applied Mathematics, Modeling, and Computational Science, held in Waterloo, Canada, from August 14–18, 2023.

This book presents a rigorous and practically grounded treatment of jitter and spur minimization in fractional-N digital phase locked loops (DPLLs), addressing one of the most critical challenges in modern frequency synthesis. Bridging the gap between theoretical analysis and design practice, it introduces a unified framework for modeling quantization and nonlinear effects in time-to-digital converters and digital-to-time converters, enabling accurate prediction of phase noise, jitter, and spurious tones across integer-N and fractional-N operation. Unlike conventional approaches, the methods developed in this work explicitly account for the interaction between systematic nonlinearities and the statistical properties of steady-state quantization error signals, establishing clear validity limits for widely used linearized models. The book further provides comprehensive system-level design methodologies that achieve minimum jitter with minimal hardware overhead. Supported by companion MATLAB source codes for behavioral modeling and analysis, it offers readers a reproducible and extensible toolkit for exploring and optimizing advanced fractional-N DPLLs. Combining analytical rigor, practical relevance, and broad applicability, this book serves as both a reference and a hands-on guide for researchers and engineers in frequency synthesis and mixed-signal integrated circuit design.

This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems.The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.

In this thesis, the phenomenon of fundamental hope is understood as atmosphere. As a metaphor, hope as atmosphere finds a new expression of hope other than the light-metaphor that dominates the discourse of hope. Hope is not only the light that illuminates the dark moments of life, but also, more fundamentally, in the air, it lies in the sphere in-between and saturates each life experience and every living moment. As an existential reality, hope as atmosphere reveals our hopeful way of atmospheric co-existence. Communal love constitutes the ground of this hopeful co-existence, it keeps the hopeful co-existence constantly refreshed and open, guaranteeing more possibilities of hope. On the basis of communal love, hopeful co-existence shows its ontological meaning as a way towards life. The thesis of hope as atmosphere finds resonance and expression not only in Christian trinitarianly based understanding of hope, but also in the most central doctrine of co-humanity in Confucianism.

This thesis focuses on the energy, chemical and carbon implications of diverse wastewater treatment alternatives, and offers effective solutions for wastewater treatment plants (WWTPs) to achieve sustainability goals. The author first uses the life cycle philosophy to explore the environmental performance of several representative wastewater treatment systems, and then proposes a refined assessment framework, accompanying analytical toolkit and case study for further quantifying the environmental sustainability of various wastewater management scenarios. Allowing readers to gain a better understanding of the existing wastewater treatment technologies from a sustainability perspective, this book helps decision makers identify promising approaches to the environmentally friendly operation of WWTPs and make infrastructure investments that are appropriate for future changing conditions.