Vision Systems

Vision Systems PDF Author: Goro Obinata
Publisher: BoD – Books on Demand
ISBN: 3902613017
Category : Computers
Languages : en
Pages : 619

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Book Description
Computer Vision is the most important key in developing autonomous navigation systems for interaction with the environment. It also leads us to marvel at the functioning of our own vision system. In this book we have collected the latest applications of vision research from around the world. It contains both the conventional research areas like mobile robot navigation and map building, and more recent applications such as, micro vision, etc.The fist seven chapters contain the newer applications of vision like micro vision, grasping using vision, behavior based perception, inspection of railways and humanitarian demining. The later chapters deal with applications of vision in mobile robot navigation, camera calibration, object detection in vision search, map building, etc.

Vision Systems

Vision Systems PDF Author: Goro Obinata
Publisher: BoD – Books on Demand
ISBN: 3902613017
Category : Computers
Languages : en
Pages : 619

Get Book Here

Book Description
Computer Vision is the most important key in developing autonomous navigation systems for interaction with the environment. It also leads us to marvel at the functioning of our own vision system. In this book we have collected the latest applications of vision research from around the world. It contains both the conventional research areas like mobile robot navigation and map building, and more recent applications such as, micro vision, etc.The fist seven chapters contain the newer applications of vision like micro vision, grasping using vision, behavior based perception, inspection of railways and humanitarian demining. The later chapters deal with applications of vision in mobile robot navigation, camera calibration, object detection in vision search, map building, etc.

Contemporary Architecture and the Digital Design Process

Contemporary Architecture and the Digital Design Process PDF Author: Peter Szalapaj
Publisher: Routledge
ISBN: 1135392145
Category : Architecture
Languages : en
Pages : 288

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Book Description
Contemporary Architecture and the Digital Design Process introduces the reader to new developments in the computer modelling of design form in contemporary architectural practice through a series of detailed case studies. The book illustrates how evolving design practices use and exploit the potential of new computing technologies in a wide range of areas and application. A central thesis of this book is that technology follows design demand, rather than design adjusting to available new technology. Designers are not merely passive recipients of prescribed computing tools and techniques. Instead, they are increasingly able to express their intuitive design ideas through the rational medium of computing. The book features several contemporary building projects, each of which introduces a range of CAD and computing issues based upon the work of creative architectural and engineering design practices. These include the offices of Frank O. Gehry, Peter Cook and Colin Fournier, Anthony Hunt Associates, Peter Hubner, Szyskowitz-Kowalski, and Faulkner Brown. All these examples show what architects need to know and the skills they need to acquire to use advanced CAD technology.

Universal Concept of Complexity by the Dynamic Redundance Paradigm

Universal Concept of Complexity by the Dynamic Redundance Paradigm PDF Author: Andrei P. Kirilyuk
Publisher:
ISBN: 9789660001169
Category : Philosophy
Languages : en
Pages : 570

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Book Description


Theory and Applications of Models of Computation

Theory and Applications of Models of Computation PDF Author: Rahul Jain
Publisher: Springer
ISBN: 3319171429
Category : Mathematics
Languages : en
Pages : 466

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Book Description
This book constitutes the refereed proceedings of the 12th Annual Conference on Theory and Applications of Models of Computation, TAMC 2014, held in Singapore, in May 2015. The 35 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers treat all topics relating to the theory and applications of models computation, for example recursion theory and mathematical logic; computational complexity and Boolean functions; graphy theory; quantum computing; parallelism and statistics; learning, automata and probabilistic models; parameterised complexity.

Langevin Equation, The: With Applications To Stochastic Problems In Physics, Chemistry And Electrical Engineering (Fourth Edition)

Langevin Equation, The: With Applications To Stochastic Problems In Physics, Chemistry And Electrical Engineering (Fourth Edition) PDF Author: William T Coffey
Publisher: World Scientific
ISBN: 9813222018
Category : Science
Languages : en
Pages : 927

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Book Description
Our original objective in writing this book was to demonstrate how the concept of the equation of motion of a Brownian particle — the Langevin equation or Newtonian-like evolution equation of the random phase space variables describing the motion — first formulated by Langevin in 1908 — so making him inter alia the founder of the subject of stochastic differential equations, may be extended to solve the nonlinear problems arising from the Brownian motion in a potential. Such problems appear under various guises in many diverse applications in physics, chemistry, biology, electrical engineering, etc. However, they have been invariably treated (following the original approach of Einstein and Smoluchowski) via the Fokker-Planck equation for the evolution of the probability density function in phase space. Thus the more simple direct dynamical approach of Langevin which we use and extend here, has been virtually ignored as far as the Brownian motion in a potential is concerned. In addition two other considerations have driven us to write this new edition of The Langevin Equation. First, more than five years have elapsed since the publication of the third edition and following many suggestions and comments of our colleagues and other interested readers, it became increasingly evident to us that the book should be revised in order to give a better presentation of the contents. In particular, several chapters appearing in the third edition have been rewritten so as to provide a more direct appeal to the particular community involved and at the same time to emphasize via a synergetic approach how seemingly unrelated physical problems all involving random noise may be described using virtually identical mathematical methods. Secondly, in that period many new and exciting developments have occurred in the application of the Langevin equation to Brownian motion. Consequently, in order to accommodate all these, a very large amount of new material has been added so as to present a comprehensive overview of the subject.

Practical Applications of Intelligent Systems

Practical Applications of Intelligent Systems PDF Author: Zhenkun Wen
Publisher: Springer
ISBN: 3642549276
Category : Technology & Engineering
Languages : en
Pages : 1132

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Book Description
"Practical Applications of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but are not limited to: Intelligent Game, Intelligent Multimedia, Business Intelligence, Intelligent Bioinformatics Systems, Intelligent Healthcare Systems, User Interfaces and Human Computer Interaction, Knowledge-based Software Engineering, Social Issues of Knowledge Engineering, etc. The proceedings are benefit for both researchers and practitioners who want to learn more about the current practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi’an, China.

Experimental Geographical Ecology

Experimental Geographical Ecology PDF Author: Erland G. Kolomyts
Publisher: Cambridge Scholars Publishing
ISBN: 1527586650
Category : Science
Languages : en
Pages : 685

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Book Description
This book sets out a paradigm of experimental geographical ecology and its core—landscape ecology—providing a number of empirical statistical models and ecological geographical concepts developed on the basis of these. It highlights the mechanisms of formation of regional- and local-level landscape-ecological systems, their natural and anthropogenic dynamics, and their evolutionary trends. It presents numerical methods of making landscape-ecological forecasts and assessing forest sustainability, and provides quantitative estimates of local and regional biotic regulation of the carbon cycle according to the scenarios of modern temperature growth and mitigation of warming, set out by the Paris (2015) Agreement on Climate Change. As such, the book will be a useful source of reference for field research, statistical and cartographic processing of the obtained data, mathematical modeling, geoecological interpretation of results, and the creation of theoretical schemes of geosystem analysis. It will appeal to specialists in the fields of geographical ecology, landscape-ecological modeling, and environmental forecasting.

Dynamic Systems Biology Modeling and Simulation

Dynamic Systems Biology Modeling and Simulation PDF Author: Joseph DiStefano III
Publisher: Academic Press
ISBN: 0124104932
Category : Science
Languages : en
Pages : 886

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Book Description
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. - Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics - The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of "math modeling with life sciences - Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization - Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models - A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course - Importantly, the slides are editable, so they can be readily adapted to a lecturer's personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content - The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: [email protected]

A Dynamic Systems Approach to Adolescent Development

A Dynamic Systems Approach to Adolescent Development PDF Author: Saskia Elske Kunnen
Publisher: Psychology Press
ISBN: 1136511016
Category : Psychology
Languages : en
Pages : 194

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Book Description
The dynamic systems approach is a rapidly expanding advancement in the study of developmental research, particularly in the domain of adolescent development. It provides a unique way of examining the subject, and this innovative study of developmental processes helps social scientists to translate dynamic systems conceptualizations into clear empirical research that readers will be able to implement themselves. The first part of this edited book discusses techniques that describe and assess specific process characteristics such as variability, sudden jumps and attractor states. The second part explores the different techniques for building a dynamic systems model, which can simulate the behaviour of a system to investigate the mechanisms behind the processes. Each chapter describes one technique and is based on a specific practical example of its application in adolescent development. Step-by-step instructions for model-building and examples of ready-made models are provided on the website that belongs to the book: www.psypress.com/dynamic-systems-approach. This book provides a clear step-by-step description of theories and techniques that are designed for the study of developmental processes, and is therefore ideal for researchers of developmental psychology who do not specialise in statistics or research methods.

The Art of Modeling Dynamic Systems

The Art of Modeling Dynamic Systems PDF Author: Foster Morrison
Publisher: Courier Corporation
ISBN: 0486131718
Category : Mathematics
Languages : en
Pages : 418

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Book Description
This text illustrates the roles of statistical methods, coordinate transformations, and mathematical analysis in mapping complex, unpredictable dynamical systems. It describes the benefits and limitations of the available modeling tools, showing engineers and scientists how any system can be rendered simpler and more predictable. Written by a well-known authority in the field, this volume employs practical examples and analogies to make models more meaningful. The more universal methods appear in considerable detail, and advanced dynamic principles feature easy-to-understand examples. The text draws careful distinctions between mathematical abstractions and observable realities. Additional topics include the role of pure mathematics, the limitations of numerical methods, forecasting in the presence of chaos and randomness, and dynamics without calculus. Specialized techniques and case histories are coordinated with a carefully selected and annotated bibliography. The original edition was a Library of Science Main Selection in May, 1991. This new Dover edition features corrections by the author and a new Preface.