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Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR

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dc.contributor.author Mekuria, Fisseha
dc.contributor.author Nkosi, M
dc.contributor.author Seotlo, V
dc.contributor.author Twala, B
dc.date.accessioned 2010-09-02T09:03:43Z
dc.date.available 2010-09-02T09:03:43Z
dc.date.issued 2010-09-01
dc.identifier.citation Mekuria, F, Nkosi, M, Seotlo, V and Twala, B. 2010. Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR. CSIR 3rd Biennial Conference 2010. Science Real and Relevant. CSIR International Convention Centre, Pretoria, South Africa, 30 August – 01 September 2010, pp 8 en
dc.identifier.uri http://hdl.handle.net/10204/4292
dc.description CSIR 3rd Biennial Conference 2010. Science Real and Relevant. CSIR International Convention Centre, Pretoria, South Africa, 30 August – 01 September 2010 en
dc.description.abstract Intelligent capturing and secure communication of physiological and environmental data to central point of presence in large magnitude is crucial in the design of accurate models of natural and man-made systems or processes. The research network aims to utilise ubiquitous mobile phone devices, integrated with built-in or externally connected sensor units to achieve this. Furthermore, as sensor signals are more noisy and mobile device capabilities are improving, the initial sensor signal enhancement can be done at the mobile device itself, reducing the need for large-bandwidth communication channels and increasing the security of signal transmission to a central applications server database. At the central server data base sensor data enhancement, artificial intelligence methods such as data mining and expert systems modelling can be applied to extract intelligence and statistical inference. Currently sensor data acquisition is often limited in magnitude, poorly organised and is dedicated to equipment with specific locations, which can reduce the usefulness of the data for model building and decision making based on model-based signal processing. Mobile devices are suitable platforms for geographically and time unlimited acquisition, enhancement and secure communication of sensory data in large magnitude to a central database en
dc.language.iso en en
dc.publisher CSIR en
dc.subject Intelligent mobile sensing en
dc.subject Mobile phone devices en
dc.subject Sensor signals en
dc.subject CSIR Conference 2010 en
dc.title Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR en
dc.type Conference Presentation en
dc.identifier.apacitation Mekuria, F., Nkosi, M., Seotlo, V., & Twala, B. (2010). Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR. CSIR. http://hdl.handle.net/10204/4292 en_ZA
dc.identifier.chicagocitation Mekuria, Fisseha, M Nkosi, V Seotlo, and B Twala. "Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR." (2010): http://hdl.handle.net/10204/4292 en_ZA
dc.identifier.vancouvercitation Mekuria F, Nkosi M, Seotlo V, Twala B, Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR; CSIR; 2010. http://hdl.handle.net/10204/4292 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mekuria, Fisseha AU - Nkosi, M AU - Seotlo, V AU - Twala, B AB - Intelligent capturing and secure communication of physiological and environmental data to central point of presence in large magnitude is crucial in the design of accurate models of natural and man-made systems or processes. The research network aims to utilise ubiquitous mobile phone devices, integrated with built-in or externally connected sensor units to achieve this. Furthermore, as sensor signals are more noisy and mobile device capabilities are improving, the initial sensor signal enhancement can be done at the mobile device itself, reducing the need for large-bandwidth communication channels and increasing the security of signal transmission to a central applications server database. At the central server data base sensor data enhancement, artificial intelligence methods such as data mining and expert systems modelling can be applied to extract intelligence and statistical inference. Currently sensor data acquisition is often limited in magnitude, poorly organised and is dedicated to equipment with specific locations, which can reduce the usefulness of the data for model building and decision making based on model-based signal processing. Mobile devices are suitable platforms for geographically and time unlimited acquisition, enhancement and secure communication of sensory data in large magnitude to a central database DA - 2010-09-01 DB - ResearchSpace DP - CSIR KW - Intelligent mobile sensing KW - Mobile phone devices KW - Sensor signals KW - CSIR Conference 2010 LK - https://researchspace.csir.co.za PY - 2010 T1 - Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR TI - Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR UR - http://hdl.handle.net/10204/4292 ER - en_ZA


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