Description: Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence by John Oyekan The book discusses new algorithms capable ofsearching for, tracking, mapping and providing a visualization of invisiblesubstances. The book also discusses how a computationally tractable multi-agentrobotic controller was developed and used to track as well as provide a visualmap of a spatio-temporal distribution of a substance. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description The book discusses new algorithms capable ofsearching for, tracking, mapping and providing a visualization of invisiblesubstances. It reports on the realization of a bacterium-inspired roboticcontroller that can be used by an agent to search for any environmental spatialfunction such as temperature or pollution. Using the parameters of amathematical model, the book shows that it is possible to control theexploration, exploitation and sensitivity of the agent. This feature sets thework apart from the usual method of applying the bacterium behavior to roboticagents. The book also discusses how a computationally tractable multi-agentrobotic controller was developed and used to track as well as provide a visualmap of a spatio-temporal distribution of a substance. On the one hand, thisbook provides biologists and ecologists with a basis to perform simulationsrelated to how individual organisms respond to spatio-temporal factors in theirenvironment as well as predict and analyze the behavior of organisms at apopulation level. On the other hand, it offers robotic engineers practical andfresh insights into the development of computationally tractable algorithms forspatial exploratory and mapping robots. It also allows a more general audienceto gain an understanding of the design of computational intelligence algorithmsfor autonomous physical systems. Back Cover The book discusses new algorithms capable ofsearching for, tracking, mapping and providing a visualization of invisiblesubstances. It reports on the realization of a bacterium-inspired roboticcontroller that can be used by an agent to search for any environmental spatialfunction such as temperature or pollution. Using the parameters of amathematical model, the book shows that it is possible to control theexploration, exploitation and sensitivity of the agent. This feature sets thework apart from the usual method of applying the bacterium behavior to roboticagents. The book also discusses how a computationally tractable multi-agentrobotic controller was developed and used to track as well as provide a visualmap of a spatio-temporal distribution of a substance. On the one hand, thisbook provides biologists and ecologists with a basis to perform simulationsrelated to how individual organisms respond to spatio-temporal factors in theirenvironment as well as predict and analyze the behavior of organisms at apopulation level. On the other hand, it offers robotic engineers practical andfresh insights into the development of computationally tractable algorithms forspatial exploratory and mapping robots. It also allows a more general audienceto gain an understanding of the design of computational intelligence algorithmsfor autonomous physical systems. Table of Contents Introduction.- Literature Review.- Investigative Process.- Developing and Implementing a Source Finding Controller.- Relationship between the Berg-Brown Model and the Keller-Segel Model.- Behaviour Based Coverage Controller.- Improvements and towards RealWorld Applications.- Conclusion. Feature Describes novel biological inspired algorithmsas well as their validation and analysis using simulation and physicalexperiments Provides readers with an insight on how to castan engineering problem into a nature that can be solved using biologicalinspired solutions Presents a good balance between theory andpractice: from the analysis of biological systems to the implementation of bioinspiredalgorithms for engineering control purposes Details ISBN3319274236 Author John Oyekan Short Title TRACKING & MAPPING OF SPATIOTE Language English ISBN-10 3319274236 ISBN-13 9783319274232 Media Book Format Hardcover Series Biosystems & Biorobotics Pages 194 Imprint Springer International Publishing AG Subtitle Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence Place of Publication Cham Country of Publication Switzerland Year 2015 Edition 1st Illustrations 75 Illustrations, color; 53 Illustrations, black and white; X, 194 p. 128 illus., 75 illus. in color. Series Number 14 Edited by Eduard Nitu Birth 1974 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Publisher Springer International Publishing AG Edition Description 1st ed. 2016 Publication Date 2015-12-29 Alternative 9783319801391 DEWEY 006.3 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:137672034;
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ISBN-13: 9783319274232
Book Title: Tracking and Mapping of Spatiotemporal Quantities Using Unicellul
Number of Pages: 194 Pages
Language: English
Publication Name: Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence: Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence
Publisher: Springer International Publishing Ag
Publication Year: 2015
Subject: Engineering & Technology, Computer Science, Biology, Physics
Item Height: 235 mm
Item Weight: 4321 g
Type: Textbook
Author: John Oyekan
Subject Area: Bioengineering
Item Width: 155 mm
Format: Hardcover
