Books in Graphics cad hci

Physically Based Rendering

3rd Edition
September 30, 2016
Matt Pharr + 2 more
English
Hardback
9 7 8 0 1 2 8 0 0 6 4 5 0
eBook
9 7 8 0 1 2 8 0 0 7 0 9 9

Physically Based Rendering: From Theory to Implementation, Third Edition, describes both the mathematical theory behind a modern photorealistic rendering system and its practical implementation. Through a method known as 'literate programming', the authors combine human-readable documentation and source code into a single reference that is specifically designed to aid comprehension. The result is a stunning achievement in graphics education. Through the ideas and software in this book, users will learn to design and employ a fully-featured rendering system for creating stunning imagery. This completely updated and revised edition includes new coverage on ray-tracing hair and curves primitives, numerical precision issues with ray tracing, LBVHs, realistic camera models, the measurement equation, and much more. It is a must-have, full color resource on physically-based rendering.

Bio-Inspired Computation and Applications in Image Processing

1st Edition
August 5, 2016
Xin-She Yang + 1 more
English
Hardback
9 7 8 0 1 2 8 0 4 5 3 6 7
eBook
9 7 8 0 1 2 8 0 4 5 3 7 4

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.

e-Design

1st Edition
February 23, 2016
Kuang-Hua Chang
English
eBook
9 7 8 0 1 2 8 0 9 7 3 6 6

e-Design: Computer-Aided Engineering Design, Revised First Edition is the first book to integrate a discussion of computer design tools throughout the design process. Through the use of this book, the reader will understand basic design principles and all-digital design paradigms, the CAD/CAE/CAM tools available for various design related tasks, how to put an integrated system together to conduct All-Digital Design (ADD), industrial practices in employing ADD, and tools for product development.

Presumptive Design

1st Edition
September 10, 2015
Leo Frishberg + 1 more
English
Paperback
9 7 8 0 1 2 8 0 3 0 8 6 8
eBook
9 7 8 0 1 2 8 0 3 0 8 7 5

Everything you know about the future is wrong. Presumptive Design: Design Provocations for Innovation is for people “inventing” the future: future products, services, companies, strategies and policies. It introduces a design-research method that shortens time to insights from months to days. Presumptive Design is a fundamentally agile approach to identifying your audiences’ key needs. Offering rapidly crafted artifacts, your teams collaborate with your customers to identify preferred and profitable elements of your desired outcome. Presumptive Design focuses on your users’ problem space, informing your business strategy, your project’s early stage definition, and your innovation pipeline. Comprising discussions of design theory with case studies and how-to’s, the book offers business leadership, management and innovators the benefits of design thinking and user experience in the context of early stage problem definition. Presumptive Design is an advanced technique and quick to use: within days of reading this book, your research and design teams can apply the approach to capture a risk-reduced view of your future.

Learning Processing

2nd Edition
August 6, 2015
Daniel Shiffman
English
Paperback
9 7 8 0 1 2 3 9 4 4 4 3 6
eBook
9 7 8 0 1 2 3 9 4 7 9 2 5

Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve.A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media.This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study.

Computational Materials Engineering

1st Edition
July 13, 2015
Maciej Pietrzyk + 3 more
English
Hardback
9 7 8 0 1 2 4 1 6 7 0 7 0
eBook
9 7 8 0 1 2 4 1 6 7 2 4 7

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFÉ method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.

Up and Running with AutoCAD 2016

1st Edition
July 11, 2015
Elliot J. Gindis
English
Paperback
9 7 8 0 1 2 8 0 3 5 7 2 6
eBook
9 7 8 0 1 2 8 0 3 5 7 3 3

Get up and running with AutoCAD using Gindis’ combination of step-by-step instruction, examples and insightful explanations. The emphasis from the beginning is on core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written with the user in mind by a long-time AutoCAD professional and instructor based on what works in the industry and the classroom.

Industrial Tomography

1st Edition
March 30, 2015
Mi Wang
English
Hardback
9 7 8 1 7 8 2 4 2 1 1 8 4
eBook
9 7 8 1 7 8 2 4 2 1 2 3 8

Industrial Tomography: Systems and Applications thoroughly explores the important tomographic techniques of industrial tomography, also discussing image reconstruction, systems, and applications. The text presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines. Readers will find a comprehensive discussion on the ways tomography systems can be used to optimize the performance of a wide variety of industrial processes.

Dynamic Systems Biology Modeling and Simulation

1st Edition
January 10, 2015
Joseph DiStefano III
English
Hardback
9 7 8 0 1 2 4 1 0 4 1 1 2
eBook
9 7 8 0 1 2 4 1 0 4 9 3 8

Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author’s own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications.

Sharing Data and Models in Software Engineering

1st Edition
December 15, 2014
Tim Menzies + 4 more
English
Paperback
9 7 8 0 1 2 4 1 7 2 9 5 1
eBook
9 7 8 0 1 2 4 1 7 3 0 7 1

Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects.

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