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Shih R: Autodesk Inventor 2026 and
Engineering Graphics

Autodesk Inventor 2026 and Engineering Graphics

An Integrated Approach

Volume II

Cryptocurrency Forensics and Investigation using Open Source Intelligence Techniques (OSINT)

Sustainable Computing and Optimization

V2X, ITS & Telematics

Mobile Intelligence for Autonomous Driving Systems

A practical, straightforward, and easy-to-use graduate-level textbook on the principles of foundation engineering Advanced Foundation Engineering offers clear and detailed coverage of all aspects of the design, analysis, construction, and testing of structural elements responsible for transferring imposed loads from a superstructure to the ground. Written for advanced undergraduate and graduate engineering students, this comprehensive textbook incorporates traditional foundation engineering topics as well as recent advances and innovations in the field. The authors include discussion of timely issues such as the impact of the digital revolution, worldwide environmental concerns, the increasing scarcity of raw materials, the use of geotechnical data banks, the sustainability of construction materials, and new site investigation techniques. Focused on practical application rather than theoretical background, 27 in-depth chapters address the principles of geotechnical engineering, spread footings and mats, ground modifications, floating and shell foundations, single piles and drilled shafts, testing and calculation procedures, and more. Detailed case studies in each chapter connect the principles and performance of a particular foundation system, illustrate the measurement and evaluation of performance criteria, demonstrate the accuracy of analytical predictions, and validate the assumptions made in the analysis and design process. Providing the knowledge base required to design and build foundations for various types of onshore, offshore, and inland structures, Advanced Foundation Engineering: Outlines the key components of foundation systems, contemporary classification systems, analysis considerations, and design proceduresCovers diverse types of foundations and construction techniques, including shallow and semi-deep foundations, skirted and bucket foundations, floating foundations, and pile groupsDescribes data synthesis in preparing geotechnical reports, interactions between problematic soils and foundation design, and factors influencing the engineering properties of geomaterialsReviews the construction of various foundations on different geomaterials, key geotechnical requirements, and soil improvement methodsProvides insights into mitigating foundation issues, optimizing foundation selection, and maximizing existing foundations Advanced Foundation Engineering: Principles, Performance, and Prospects is an ideal textbook for advanced undergraduate and graduate courses in foundation engineering and geotechnical engineering, and an invaluable reference for professional geotechnical engineers.

Principles, Performance and Prospects

Advanced Foundation Engineering

Expert reference on building surrogate models, optimization using them, prediction uncertainty associate with them, and their potential failure, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions and helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. The book is divided into 10 chapters. Each chapter contains about 10 examples and 20 exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Sample topics discussed in Surrogate Modeling and Optimization include: <ul> <li>Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space</li> <li>Criteria for constrained and unconstrained optimization and the most important optimization theories</li> <li>Various numerical algorithms for gradient-based optimization</li> <li>Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information</li> <li>Detailed explanations and implementation on Kriging surrogate, often referred to as Gaussian Process, especially when samples include noise</li> <li>The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy</li> <li>Neural network models, focusing on training uncertainty and its effect on prediction uncertainty</li> <li>Efficient global optimization using either polynomial response surfaces or Kriging surrofates</li> </ul> Surrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply the surrogate model to solve their optimization problems.

Theories, Applications, and Limitations

Surrogate Modeling and Optimization

Strategic guide for implementing and developing digital twin products, with real-world case studies from different industries Infrastructure Digital Twins is an instructive and practical guide that offers tools on incorporating digital twins into existing processes, illustrated by real-world case studies across diverse sectors. Emphasizing the intersections of digital twin technology, sustainability, and cutting-edge software inventions, this book uncovers the potential to accelerate the global journey toward carbon neutrality and the United Nations Sustainable Development Goals. Written by a an esteemed author, Infrastructure Digital Twins approaches the topic by discussing: <ul> <li>Ground-breaking applications of digital twin technology demonstrated through real-world examples in transportation, construction, aviation, manufacturing, and healthcare sectors, bringing to light the transformative potential of emerging tech in these industries. </li> <li>Advantages offered by the confluence of digital twin technology and modern software engineering tools, including generative Artificial Intelligence (AI), enhanced interoperability and sophisticated relationship mapping between static and dynamic entities. </li> <li>Advanced semantics to leverage AI and data analytics, thus enabling accurate predictions of future scenarios, illuminating the path towards smarter, sustainable cities and infrastructure.</li> <li>Current challenges and future solutions for digital twin adoption in sustainable asset maintenance and management, focusing on innovative strategies to seamlessly develop digital twin products </li></ul>Diving into a subject of growing significance across industries, Infrastructure Digital Twins serves as an essential guide for practicing professionals and executive engineering leaders. It is also applicable for technologists and entrepreneurs, as well as it can serve as a textbook for graduate-level courses focusing on digital twin applications, machine learning, and the emerging landscape of tech innovation in infrastructure sustainability.

Applications in Engineering, Aviation, and Facilities Management

Infrastructure Digital Twins

Integrating AR/VR in Computing and Medical Crisis Management

Virtual Reality, Real Emergency

Woodhead Publishing Series in Civil and Structural Engineering

Emerging Concepts and Technologies

Net Zero Transition in Buildings

The Data, Tech, and Trust Behind AI Success

Data Makes the World Go 'Round

Triangulating AI Security

Electric Circuit and Network Analysis

Quantum Communication and Cryptography introduces readers to the theory of quantum cryptography, with a focus will on quantum key distribution (QKD) and more advanced quantum cryptographic protocols beyond QKD. It contains a brief introduction to the field of modern cryptography that is needed to fully appreciate and understand how quantum cryptographic systems are proven secure, and how they can be safely used in combination with current day classical systems. Readers are then introduced to quantum key distribution (QKD) - perhaps the most celebrated, and currently the most practical, of quantum cryptographic techniques. Basic protocols are described, and security proofs are given, providing readers with the knowledge needed to understand how QKD protocols are proven secure using modern, state- of-the-art definitions of security. Following this, more advanced QKD protocols are discussed, along with alternative quantum and classical methods to improve QKD performance. Finally, alternative quantum cryptographic protocols are covered, along with a discussion on some of the practical considerations of quantum secure communication technology. Throughout, protocols are described in a clear and consistent manner that still provides comprehensive, theoretical proofs and methods.

Quantum Communication and Cryptography

FPGA, IoT, Microcontrollers, and Quantum Technologies

Exploring Hardware Advances

Autodesk Inventor 2026 and Engineering Graphics

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