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| 020 | _a9783319274256 | ||
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_aQ337.3 _bO945 2016 |
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| 082 | 0 | 4 | _a629.892 |
| 100 | 1 |
_aOyekan, John Oluwagbemiga. _998209 _0Local |
|
| 245 | 1 | 0 |
_aTracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence : _bVisualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence _cby John Oluwagbemiga Oyekan |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (X, 194 páginas) _b128 ilustraciones, 75 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aBiosystems & Biorobotics _x2195-3562 _v14 |
|
| 505 | 0 | _aIntroduction -- 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. | |
| 520 | 3 | _aThe 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. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
| 650 | 7 |
_aMicrobiología _0comprobar BNE19900962962 _2embne _9138684 |
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| 650 | 7 |
_aFísica estadística _0comprobar BNE19900958697 _2embne _9138345 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-27425-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_a.b12946011 _b10-10-17 _c21-11-16 |
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