Systematic Design For Emergence In Cellular Nonlinear Networks
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Systematic Design for Emergence in Cellular Nonlinear Networks
Author: Radu Dogaru
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-02-01
In this insightful work, Dogaru proposes a systematic framework for measuring emergence and a systematic design method to locate computationally meaningful genes in a reasonable computing time. Programs and application examples are provided so that the reader may easily understand the new concepts and develop her own specific experiments. The book’s approachability recommends it to a large audience including specialists from various interdisciplinary fields.
Cellular Automata in Image Processing and Geometry
The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation. The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of massive parallel computing devices. The book will provide attractive reading for a general audience because it has do-it-yourself appeal: all the computer experiments presented within it can be implemented with minimal knowledge of programming. The simplicity yet substantial functionality of the cellular automaton approach, and the transparency of the algorithms proposed, makes the text ideal supplementary reading for courses on image processing, parallel computing, automata theory and applications.
Enhancing Cognitive Assistance Systems with Inertial Measurement Units
1.1 Motivation Throughout the last decade, major car manufacturers have introduced a great - riety of di?erent assistance systems to make driving safer and more comfortable. Mechatronic systems like dynamic stability control, situation dependant suspension adjustment or the recently introduced night vision cameras are just a few examples among a range of helpful developments. The current focus of research is on cognitive assistance systems for high-level p- ception of the environment. Rather than present mere images to the driver, these future systems extract all relevant information and provide a reduced set that alerts to possible dangers or, in a further stage, directly takes over control of the vehicle to prevent accidents. TheseStepsTowardstheSeeingCar were presented as a keynote speech at theAdvancedMicrosystemsforAutomotiveApplications2007 conference byVolkswagen [87]. In addition to radar, ultrasonic and laser sensors, concepts include video cameras for the perception of the medium and far range. Video will play an especially important role in future driver assistance, since the tra?c environment is designed for human needs, and thus relies predominantly on visual cues. For the visual assessment of the environment, two aspects are crucial and will be covered in this book. First, the vehicle has to know its own motion in space in order to reliably di?erentiate visual motion caused by other objects, such as moving pedestrians, from that of the static environment generated by the car’s own movement. Second, the visual sensor needs to cover a wide range with high resolution and precision.