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Denton Tom: Automated Driving and Driver
Assistance Systems

Automated Driving and Driver Assistance Systems

Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making-a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing-a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

Digital Twins of Advanced Materials Processing

Ed Link and the Birth of Modern Aviation

The Blue Box

Comprehensive guide to streamlining the design optimization process of intelligent robots using MODENA (MOdular DEsigN Automation) Modular Design Automation of Intelligent Robot Systems introduces MODENA (MOdular DEsigN Automation) as a new approach to the design of intelligent robots by harnessing computational intelligence techniques like genetic programming and constrained multi-objective evolutionary algorithms. It also covers different aspects of robot design, including physical structure, control, and vision systems. Case studies are included throughout the text to aid in the practical application of concepts. The book also provides information on: <ul> <li>Methods in the design automation of electronic systems, micro-electro-mechanical systems (MEMS), complex mechatronic systems, and intelligent robotic systems</li> <li>MODENA#s advantage in avoiding the frequent trial-and-error processes inherent in traditional design methods, instead promoting the automatic discovery of innovative designs</li> <li>MODENA as a more interpretable alternative to supplement ChatGPT and other generative AI based on LLMs</li> <li>Automated design of intelligent robotic systems like teaching manipulators, mechanical printers, and quarter-car suspensions as well as swarm robotic systems</li> </ul> Modular Design Automation of Intelligent Robot Systems is an excellent reference on the subject for professionals, researchers, and students in robotics, automation, and artificial intelligence.

Modular Design Automation of Intelligent Robot Systems

Advances in Sustainable Microgrid Technologies

Components, Control Algorithms, and Design

Next-Generation Microgrids

With the rapid recent advances in the field of railway systems and infrastructure construction, and the evolution of AI tools that have enormous potential for application to railway design, maintenance and operations, industry professionals and researchers need an up-to-date resource on these developments. Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering addresses this need. The book encapsulates the latest breakthroughs and contributions in these pivotal areas, providing readers with comprehensive insights into the cutting-edge methodologies and approaches shaping the field of railway infrastructure management. For engineers and researchers, the book provides a focused explanation of AI methodologies such as machine learning, computer vision and predictive analytics and their implementation to railway infrastructure development, tools that are new to this field. It combines theory with practical examples of the application of data centric engineering in structural health monitoring of monitoring of railway systems, thus enabling early anomaly detection and empowering infrastructure managers to address potential issues before they escalate. Given the expansive scope of research driving technological advancements in railway infrastructure management, this book serves as a reference for readers seeking to explore novel AI-based methodologies and harness their potential in the field. Readers will benefit from insights into how AI innovations can streamline their operations and enhance network safety across multiple dimensions. By providing a comprehensive overview of the subject matter, this book guides anticipatory strategies and shape future trends in railway infrastructure management.

Application of Data Centric Engineering

Artificial Intelligence Methods in Railway Infrastructure Systems

Woodhead Series in Bioenergy

Electrochemical Biomass Conversion: Sustainable Processes and Applications for Bioenergy, Biofuels, and Bioproducts presents an in-depth examination of the mechanisms, recent advancements, and sustainable practical applications of electrochemical biomass conversion. Bridging the gap between theory and practice, the book offers a detailed overview of both experimental findings and computational studies, presenting state-of-the-art approaches to electrochemical biomass conversion. The book opens with a comprehensive introduction to the fundamental concepts and processes of electrochemical biomass conversion. The subsequent sections delve into various facets such as reactors, deconstruction, and valorization methods. Discussions extend to catalysts, characterization techniques, and electrochemical platforms derived from biomass. The book explores modeling, fermentation, reforming, oxidation, hydrogenation, and catalyst compositions including noble metals, alloys, carbon, and polymers. Integration approaches with microbial, photo, and thermal methods are discussed alongside fuel and biodiesel production through electrochemical means. Specific chapters focus on the conversion of various biomass derivatives like glucose, furfural, and glycerol, culminating in bioelectroconversion and technoeconomic assessments. The content addresses challenges, sustainability aspects, case studies, and concludes by outlining future directions and emerging trends in biomass electrochemistry. Electrochemical Biomass Conversion: Sustainable Processes and Applications for Bioenergy, Biofuels, and Bioproducts is a comprehensive reference for students, researchers, engineers, and professionals involved in the electrochemical conversion of biomass, catalysis, sustainable chemistry, and the scale-up of bioenergy technologies.

Sustainable Processes and Applications for Bioenergy, Biofuels, and Bioproducts

Electrochemical Biomass Conversion

Advances in Intelligent Energy Systems

Advanced Energy Management: Digitalization and AI for the Internet of Energy explores recent advancements in distributed renewable systems, advanced controls, and energy management of nonlinear energy behaviors. The book addresses energy resilience amid extreme climates and events, presenting new applications for energy-efficient, low-carbon, and reliable cities. It details the role of AI in renewable energy systems, including power dispatch, fast response, dynamic aging, and techno-economic performance. This introduction provides a comprehensive overview of AI applications in renewable energy systems. The book delves into the interconnection between climate change and multi-energy systems, big data's role in sustainable energy supply, and much more. It also covers demand-side management, grid-response controls in Integrated Energy Management Systems (IEMSs), and Energy Management Systems (EMSs) in integrated energy systems and power grids with AI. Additionally, the book reviews peer-to-peer and blockchain-based energy sharing, dynamic pricing, decision-making in distributed energy markets, city-scale energy resilience, and robustness with distributed energy systems. Ethical, regulatory, and policy considerations of AI in energy management and detailed Sustainability and Environmental Impact Analyses are discussed.

Digitalization and AI for the Internet of Energy

Advanced Energy Management

Ground Vehicle Engineering

This book provides the background that automotive engineers, students and other readers need in order to appreciate the development of the complex machines.

A Technical History

Automobiles

Flexible DC Traction Power Supply Systems in Urban Rail Transit: Design, Operation and Control is an essential guide on the cutting-edge of the field that clarifies the current standard for power converters, traction control, and energy systems for rail transport before introducing basic concepts, configurations, and opportunities for flexible DC traction power supply systems. Other sections provide a detailed guide to operating principles and core functions in comparison to traditional diode rectifier-based traction power supply systems. This is a critical resource for energy and electrical engineers, researchers, and students developing the sustainable infrastructure of the future. Key techniques are analyzed with attentive reference to rail application context and appropriate case studies. The book closes with two full chapters of novel case studies from China that support practical application and further development by readers. Working from foundational principles to real-world applications.

Design, Operation and Control

Flexible DC Traction Power Supply System in Urban Rail Transit

Modeling of the evolution of distributed damage and plasticity such as micro-cracking, void formation, dislocation densities, and shear bands necessitates strain-softening constitutive models. The nonlocal continuum concept has emerged as an effective means for regularizing the (initial) boundary value problems with strain softening, capturing the size effects observed in experiments, capturing small-scale deviations from local continuum models caused by material heterogeneity, and avoiding spurious localization that gives rise to pathological mesh sensitivity in numerical computations. This book discusses the integral and gradient formulations of nonlocality, computational aspects, and comparison of approaches and emphasizes recent developments in the bridging of material length scales.

Nonlocal Continuum Damage And Plasticity: Theory And Computations

Smart Cities of AI Robots and Autonomous Vehicles: The Vision for 2030 explores the transformative potential and challenges of integrating AI-powered robots and autonomous vehicles in urban landscapes, envisioning a futuristic smart city landscape by 2030. It examines how artificial intelligence (AI) robots and self-driving cars will transform daily life, healthcare, education, industry, agriculture, and transportation.

The Vision for 2030

Smart Cities of AI Robots and Autonomous Vehicles

Comprehensive reference detailing the manufacturing, storage, transportation, safety, and regulations of Li-ion batteries The Safety Challenges and Strategies of Using Lithium-ion Batteries presents a comprehensive overview of the safety issues related to lithium-ion batteries. After an introduction explaining the basics of lithium-ion battery technology and the various components used throughout the manufacturing process, the book delves into the design and process failure models and mechanisms including cell assembly, formation, and electrode preparation processes, discusses the compliance, regulations, and standards of lithium-ion battery transportation, and reviews how environmental factors such as temperature, humidity, and atmospheric pressure can affect the durability, performance, and safety of batteries. The reader is presented with the range of companies that are producing batteries, the various lithium-ion chemistries being implemented in batteries by these companies, and which chemistries are being used for which applications. Next, the various defects in design and manufacturing that can affect the propensity for fires are presented along with best practices. This section is followed by an overview of the qualification tests, quality assurance methods, and standards needed to ensure safe design. The Safety Challenges and Strategies of Using Lithium-ion Batteries includes information on: <ul> <li>Types of batteries and the trade-off between energy density and safety risks</li> <li>Thermal runaway and mitigation strategies such as flame retardants and venting mechanisms</li> <li>The reuse, repurposing, and disposal of batteries and how new regulations in the European Union concerning the ability to replace batteries and the right to repair will affect safety risks</li> <li>The battery supply chain in the consumer, industrial, electric vehicle, and renewable energy sectors</li> <li>Data transparency challenges between manufacturers and end-users/system designers</li> </ul> Written by a team of experts, The Safety Challenges and Strategies of Using Lithium-ion Batteries is essential reading for professionals working in a wide range of industries including batteries, EV, and energy storage.

Safety Challenges and Strategies

Lithium-ion Batteries

Automated Driving and Driver Assistance Systems

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