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Planchard D: SOLIDWORKS 2025 Quick Start

SOLIDWORKS 2025 Quick Start

Energy Efficient Internet of Things-Based Wireless Sensor Network

A Cultural History of Computer Graphics presents a fundamentally new approach to analyzing digital images aesthetically through the example of 3D computer graphics (CG). While numerous methods for creating digital imagery have long existed, the advent of AI-generated content is causing a rise in debates and conflict. It is becoming increasingly difficult to differentiate digital photographs, CG, and AI images, and yet, because these types of images carry different cultural or even political implications, it is becoming increasingly important to do so. In response to the need of new methods to culturally decode digital imagery, this book starts from the production process and describes computer graphics as an independent method of expression, containing a specific ideological concept of realism. Through this study, it becomes clear that a particular understanding of the world is inscribed in computer graphics software development and consequently the image creation process, and it becomes necessary to perceive production aesthetically, hence there is a focus on production aesthetics. In its own unique way, every digital imaging method embodies its own sense of the world. This book will be of great interest to researchers of computer graphics, 3D image generation, and the cultural history of computer-generated imagery.

A Cultural History of Computer Graphics

Artificial Intelligence and Machine Learning in Data Science and Analytics

Data-Driven Modeling

Automotive Composites addresses the materials, design, and manufacturing of fiber-reinforced polymer composites for structural automotive applications. The use of composites in the automotive industry is critically important for design of lightweight structures to meet fuel economy standards, reduction of greenhouse gas emissions, and increased battery range in electric vehicles. This book discusses key issues around manufacturing and mass-scale application of these composites in the automotive industry.¿ Teaches basic principles of FRCs for determining their mechanical and thermal behaviors.¿ Describes the manufacturing processes suitable for mass production of automotive composite components.¿ Discusses joining of automotive composites, with themselves and with other materials in multi-material construction of future automobiles.¿ Considers the material selection process, recycling, and cost issues.¿ Includes multiple case studies around manufacturing and the design process and performance characteristics of automotive composites vis-à-vis steels and aluminum alloys.¿ Features end-of-chapter problems and worked examples.This textbook is aimed at mechanical and materials engineering students studying automotive composites as well as professional engineers developing these materials for industry application. A solutions manual and figure slides are available to adopting professors.

Materials, Design, and Manufacturing

Automotive Composites

Securing Electric Mobility is an essential read for those seeking comprehensive knowledge about the cyber-physical intricacies of EVs. The book delves into the fundamental elements of EVs, their interconnectedness, and the vulnerabilities that arise from these characteristics. It carefully examines the digital threat landscape, increasing awareness of potential cyber risks to electric vehicles. From there, it explores data management, regulatory frameworks, existing solutions, and emerging cybersecurity protocols and methodologies. This thorough overview is further enriched by real-world case studies which demonstrate the effectiveness of the approaches adopted to safeguard vehicle control systems, owners' personal data, and the broader cyber-physical network and related equipment. The book proves to be a cardinal resource for academia and industry alike, as it encourages transformative interdisciplinary investigations into the security complexities guiding EVs' resilience evolution. Highlighting the integration of blockchain, artificial intelligence, Internet-of-Things, machine learning, and real-time monitoring systems, Securing Electric Mobility offers state-of-the-art insights valuable for academia and industry.

Securing Electric Mobility

Distributed Computing and Intelligent Data Analytics

Concepts, Applications and Case Studies

Decision Intelligence

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Advances in Edible Packaging Systems for Food Preservation discusses the edible packaging systems available for the preservation of all types of foods and products derived from meat, eggs, milk, plants, cereals, fish, and seafood. Divided in 14 chapters, the book covers recent topics related to edible packaging such as the role of emerging technologies (such as cold plasma, ultrasonication, electrospinning, high-pressure, 3D printing, and pulsed light), alternative film materials (such as insect, fungal, and algae proteins), novel bioactive agents (such as novel peptides and nanoemulsions, nanoparticles, and nanofibers from novel sources), engineering aspects, environmental impacts and consumer perception. This book caters to a wider audience including, but not limited to, individuals involved in food science, meat science, dairy science, food packaging, agriculture sciences, protein and carbohydrate biochemistry, and nutrition.

Processing, Bioactive Agents and Preservation

Advances in Edible Packaging Systems for Food Preservation

Forensic Engineering for Academia

Distributed and Parallel Computing

SOLIDWORKS 2025 Quick Start

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