Design for Motion
Design for Motion

Author: Austin Shaw

Publisher: CRC Press

Published: 2015-11-19

Total Pages: 346

ISBN-13: 1317607775

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Plumb the depths of core motion design fundamentals and harness the essential techniques of this diverse and innovative medium. Combine basic art and design principles with creative storytelling to create compelling style frames, design boards, and motion design projects. Here, in one volume, Austin Shaw covers all the principles any serious motion designer needs to know in order to make their artistic visions a reality and confidently produce compositions for clients, including: Illustration techniques Typography Compositing Cinematography Incorporating 3D elements Matte painting Concept development, and much more Lessons are augmented by illustrious full color imagery and practical exercises, allowing you to put the techniques covered into immediate practical context. Industry leaders and pioneers, including Karin Fong, Bradley G Munkowitz (GMUNK), Will Hyde, Erin Sarofsky, Danny Yount, and many more, contribute their professional perspectives, share personal stories, and provide visual examples of their work. Additionally, a robust companion website (www.focalpress.com/cw/shaw) features project files, video tutorials, bonus PDFs, and rolling updates to keep you informed on the latest developments in the field.

ARM Assembly Language
ARM Assembly Language

Author: William Hohl

Publisher: CRC Press

Published: 2014-10-20

Total Pages: 448

ISBN-13: 1482229862

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Delivering a solid introduction to assembly language and embedded systems, ARM Assembly Language: Fundamentals and Techniques, Second Edition continues to support the popular ARM7TDMI, but also addresses the latest architectures from ARM, including Cortex-A, Cortex-R, and Cortex-M processors-all of which have slightly different instruction sets, p

Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques

Author: Jiawei Han

Publisher: Elsevier

Published: 2011-06-09

Total Pages: 740

ISBN-13: 0123814804

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Fundamentals of Musculoskeletal Assessment Techniques
Fundamentals of Musculoskeletal Assessment Techniques

Author: M. Lynn Palmer

Publisher: Lippincott Williams & Wilkins

Published: 1998

Total Pages: 440

ISBN-13: 9780781710077

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Organized by region, this text provides the fundamentals of evaluation and examination techniques of the musculoskeletal system. Each region begins with step-by-step instructions for goniometry, manual muscle testing, muscle length, joint accessory motions and special orthopedic tests. Special discussions of posture and gait analysis are also included. New in this edition is a chapter on Assessment of Pain. The discussion on the Spine has been expanded to three chapters -- Cervical, Thoracolumbar Spine and Sacroiliac Joint. Compatibility: BlackBerry® OS 4.1 or Higher / iPhone/iPod Touch 2.0 or Higher /Palm OS 3.5 or higher / Palm Pre Classic / Symbian S60, 3rd edition (Nokia) / Windows Mobile™ Pocket PC (all versions) / Windows Mobile Smartphone / Windows 98SE/2000/ME/XP/Vista/Tablet PC

Fundamentals and Advanced Techniques in Derivatives Hedging
Fundamentals and Advanced Techniques in Derivatives Hedging

Author: Bruno Bouchard

Publisher: Springer

Published: 2016-06-23

Total Pages: 286

ISBN-13: 3319389904

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This book covers the theory of derivatives pricing and hedging as well as techniques used in mathematical finance. The authors use a top-down approach, starting with fundamentals before moving to applications, and present theoretical developments alongside various exercises, providing many examples of practical interest.A large spectrum of concepts and mathematical tools that are usually found in separate monographs are presented here. In addition to the no-arbitrage theory in full generality, this book also explores models and practical hedging and pricing issues. Fundamentals and Advanced Techniques in Derivatives Hedging further introduces advanced methods in probability and analysis, including Malliavin calculus and the theory of viscosity solutions, as well as the recent theory of stochastic targets and its use in risk management, making it the first textbook covering this topic. Graduate students in applied mathematics with an understanding of probability theory and stochastic calculus will find this book useful to gain a deeper understanding of fundamental concepts and methods in mathematical finance.

Image Processing and Pattern Recognition
Image Processing and Pattern Recognition

Author: Frank Y. Shih

Publisher: John Wiley & Sons

Published: 2010-05-03

Total Pages: 564

ISBN-13: 0470404612

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A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Knowledge Graphs
Knowledge Graphs

Author: Mayank Kejriwal

Publisher: MIT Press

Published: 2021-03-30

Total Pages: 559

ISBN-13: 0262045095

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A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Fundamentals of Plan Making
Fundamentals of Plan Making

Author: Edward J. Jepson, Jr.

Publisher: Routledge

Published: 2015-12-07

Total Pages: 310

ISBN-13: 1317688538

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Urban and regional planning programs aspire to prepare practitioners to write and implement plans, primarily at the local level of government. These programs are very much "professional" in their aspirations, as opposed to research oriented. Yet, academic planning programs often place greater emphasis on theory than practice. For decades, the planning academy has acknowledged a major disconnect between what the planning academy teaches students and the techniques and skills needed to be a successful professional practitioner. Fundamentals of Plan Making will give planning students an understanding of research design as it applies to planning, develop familiarity with various data sources, and help them acquire knowledge and the ability to conduct basic planning analyses such as population projections, housing needs assessments, development impact analyses, and land use plans. Students will also learn how to implement the various citizen participation methods used by planners and develop an appreciation of the values and roles of practicing planners. In Fundamentals of Plan Making, Edward Jepson and Jerry Weitz bring their extensive experience as practicing academics and give planning students the practical, hands on tools they need to implement the various methods used to create and implement real plans and policies. Its chapters on transportation, housing, environment, economic development and other core development topics also make it a handy reference for planning practitioners.

Fundamentals and Techniques of Biophysics and Molecular Biology
Fundamentals and Techniques of Biophysics and Molecular Biology

Author: Pranav Kumar

Publisher: Pathfinder Publication unit of PAPL

Published:

Total Pages: 115

ISBN-13: 938047315X

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Fundamentals and Techniques of Biophysics and Molecular Biology textbook has the primary goal to teach students about theoretical principles and applications of the key biophysical and molecular methods used in biochemistry and molecular biology. A substantial theoretical basis has been covered to understand key experimental techniques such as Chromatography, Electrophoresis, Spectroscopy, Mass spectrometry, Centrifugation, Microscopy, Flow cytometry, Chromatin immunoprecipitation, Immunotechniques, FRET and FRAP, Polymerase chain reaction, Phage display, Yeast two-hybrid assay, DNA sequencing, Biosensors, CRISPR/Cas systems so that students can make appropriate choices and efficient use of techniques. The most significant feature of this book is its clear, up-to-date and accurate explanations of mechanisms, rather than the mere description of facts and events. This book is published by Pathfinder Publication, New Delhi, India.

Fundamentals of Optimization Techniques with Algorithms
Fundamentals of Optimization Techniques with Algorithms

Author: Sukanta Nayak

Publisher: Academic Press

Published: 2020-08-25

Total Pages: 323

ISBN-13: 0128224924

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Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice. - Presents optimization techniques clearly, including worked-out examples, from traditional to advanced - Maps out the relations between optimization and other mathematical topics and disciplines - Provides systematic coverage of algorithms to facilitate computer coding - Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design - Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks