Cad 3d Modeling Engineering Analysis And Prototype Experimentation
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CAD, 3D Modeling, Engineering Analysis, and Prototype Experimentation
This succinct book focuses on computer aided design (CAD), 3-D modeling, and engineering analysis and the ways they can be applied effectively in research and industrial sectors including aerospace, defense, automotive, and consumer products. These efficient tools, deployed for R&D in the laboratory and the field, perform efficiently three-dimensional modeling of finished products, render complex geometrical product designs, facilitate structural analysis and optimal product design, produce graphic and engineering drawings, and generate production documentation. Written with an eye toward green energy installations and novel manufacturing facilities, this concise volume enables scientific researchers and engineering professionals to learn design techniques, control existing and complex issues, proficiently use CAD tools, visualize technical fundamentals, and gain analytic and technical skills. This book also: · Equips practitioners and researchers to handle powerful tools for engineering design and analysis using many detailed illustrations · Emphasizes important engineering design principles in introducing readers to a range of techniques · Includes tutorials providing readers with appropriate scaffolding to accelerate their learning process · Adopts a product development, cost-consideration perspective through the book’s many examples
Proceedings of International Conference on Computational Intelligence
The book presents high-quality research papers presented at International Conference on Computational Intelligence (ICCI 2023) held at Sardar Vallabhbhai National Institute of Technology, Surat, India, during 4–5 November 2023. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms, machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
EBOOK: Exploring Innovation
The third edition of Exploring Innovation offers an engaging new perspective on innovation. The book provides business students with a clear understanding of the nature of innovation and how it can be managed and fostered. Written in an accessible style, Exploring Innovation encourages students to challenge their pre-conceived ideas about innovation and to see it as a continuous, on-going process, by exploring some of the biggest developments in innovation. Lively discussions of key concepts are provide through numerous case studies, on a range of original products and services, bringing business theories to life. The new edition has been fully revised and updated with a more intuitive structure to now feature: A greater emphasis on what innovation involves. A new chapter on Value Capture. Expanded coverage on Services and Process Innovations. Two new chapters covering Global and Green trends in innovation. 8 new major case studies and more than 40 new mini-cases including Twitter, Angry Birds, Netflick, Google and Toyota.