dc.contributor.author | Kangethe, Michael Maigwa Martin | |
dc.date.accessioned | 2013-02-19T08:10:37Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Masters of science in computer science | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10200 | |
dc.description.abstract | This is the study and implementation of a mass population interaction surveillance technology framework, using the
Radial Based Functions Algorithm using the Radio based (Cellular to be specific) network and to develop surveillance
systems strategy. Which enables the efficient and automated identification of entity interactions and potential relationships
between several entities and events based on a hierarchy of interactions? The scientific approach to this problem is to
combine a modified variation of the Radial Basis Functions algorithm computing theory to develop a computing system that
enables the tracking of individual entity’s relationship with others based on their interaction judged by their proximity to the
entity of interest as the future of automated surveillance will not just include the collection of geographic and visual data but
also intelligence on the particular entity’s interaction log information from activity patterns which can be mapped in an easy
to present format to the interested parties. | en |
dc.language.iso | en | en |
dc.publisher | University of Nairobi | en |
dc.subject | Surveillance | en |
dc.subject | radial based functions | en |
dc.subject | cellular based networks | en |
dc.title | Surveillance strategy using a variance of radial based functions for cellular based networks | en |
dc.type | Thesis | en |
local.publisher | School of Computing and Informatics | en |