The Resource Tracking and mapping of spatiotemporal quantities using unicellular swarm intelligence : visualisation of invisible hazardous substances using unicellular swarm intelligence, John Oluwagbemiga Oyekan

Tracking and mapping of spatiotemporal quantities using unicellular swarm intelligence : visualisation of invisible hazardous substances using unicellular swarm intelligence, John Oluwagbemiga Oyekan

Label
Tracking and mapping of spatiotemporal quantities using unicellular swarm intelligence : visualisation of invisible hazardous substances using unicellular swarm intelligence
Title
Tracking and mapping of spatiotemporal quantities using unicellular swarm intelligence
Title remainder
visualisation of invisible hazardous substances using unicellular swarm intelligence
Statement of responsibility
John Oluwagbemiga Oyekan
Creator
Author
Subject
Genre
Language
eng
Summary
The book discusses new algorithms capable of searching for, tracking, mapping and providing a visualization of invisible substances. It reports on the realization of a bacterium-inspired robotic controller that can be used by an agent to search for any environmental spatial function such as temperature or pollution. Using the parameters of a mathematical model, the book shows that it is possible to control the exploration, exploitation and sensitivity of the agent. This feature sets the work apart from the usual method of applying the bacterium behavior to robotic agents. The book also discusses how a computationally tractable multi-agent robotic controller was developed and used to track as well as provide a visual map of a spatio-temporal distribution of a substance. On the one hand, this book provides biologists and ecologists with a basis to perform simulations related to how individual organisms respond to spatio-temporal factors in their environment as well as predict and analyze the behavior of organisms at a population level. On the other hand, it offers robotic engineers practical and fresh insights into the development of computationally tractable algorithms for spatial exploratory and mapping robots. It also allows a more general audience to gain an understanding of the design of computational intelligence algorithms for autonomous physical systems
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Oyekan, John Oluwagbemiga
Dewey number
006.3/824
Illustrations
illustrations
Index
no index present
LC call number
Q337.3
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Biosystems & Biorobotics,
Series volume
volume 14
http://library.link/vocab/subjectName
  • Swarm intelligence
  • Multiagent systems
  • COMPUTERS
  • Multiagent systems
  • Swarm intelligence
  • Cybernetics & systems theory
  • Environmental science, engineering & technology
  • Microbiology (non-medical)
  • Statistical physics
  • Robotics
Label
Tracking and mapping of spatiotemporal quantities using unicellular swarm intelligence : visualisation of invisible hazardous substances using unicellular swarm intelligence, John Oluwagbemiga Oyekan
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-27425-6
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
1 online resource (x, 194 pages)
File format
unknown
Form of item
online
Isbn
9783319274232
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-27425-6
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)933527182
  • (OCoLC)ocn933527182
Label
Tracking and mapping of spatiotemporal quantities using unicellular swarm intelligence : visualisation of invisible hazardous substances using unicellular swarm intelligence, John Oluwagbemiga Oyekan
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-27425-6
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
1 online resource (x, 194 pages)
File format
unknown
Form of item
online
Isbn
9783319274232
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-27425-6
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)933527182
  • (OCoLC)ocn933527182

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