Browsing by Author "Chifamba, Shepard"

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    Online Video Promotion with User Specific Information
    (nternational Journal of Innovative Research in Computer and Communication Engineering, 2015-04-20) Varaprasad, A.Deva; .Subashini, N.J; Chifamba, Shepard
    There are various ways and methods used in video recommendation which are purely statistical. These would give recommendations to users based on either their previous search or other criteria. These systems set up a large number of context collectors at the terminals. However, the context collecting and exchanging result in heavy network overhead, and the context processing consumes huge computation. Due to these criterion users end up getting unnecessary content which makes the browser slow. In this paper we propose a user specific category based promotion, we propose and provide for characterization of individual content as well as social attributes that help distinguish each user class. Thus a user defined video recommendation would ensure faster access to only important information which is in the user's domain of interest which utilises low buffer space and increase the speed of the system for user satisfaction
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    A Study on Cloud Robotics: Ad-hoc cloud (Cloud Seeding)
    (International Journal of Innovative Research in Computer and Communication Engineering, 2015-04-01) Chifamba, Shepard
    Cloud seeding in cloud robotics is the concept of forming an adhoc cloud using the available robot resources. A team of robots working in the same field utilizing cloud robotics might experience a connection failure to the main node however this should not stop field work. The teamed robots surrender their resources to form a virtual adhoc cloud not only to load balance tasks but to share resources and information. In this paper the researcher explores further on how cloud seeding can best be done, the security implications as well as networking concerns involved. This however is not a permanent infrastructure but a way of circumventing the challenge of network failure between the main cloud infrastructure and the field robots in cloud robotics.