Improving the Adaptive Context Views and Evaluate Real-Time Performance
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
The versatility and dimension of smart phone applications is increasing at magnificent rate and getting more and more advanced in a level that could solve complicated real time tasks. One of the important factors for such advancement has been the powerful sensors embedded on a Smartphone devices and sensory networks. Moreover, Context and Context-awareness would have remained a myth without the advent of sensors. The objective of this thesis has been to contribute to the research work carried out under the MediaSense project. Accordingly, the ultimate purpose of the thesis has been to evaluate and study the feasibility of the adaptive context view proposed in MediaSense Platform. In precise words, the thesis has done three core tasks. Firstly, the theoretical presentation of related works and the significance of the research question have been discussed through various social applications. Secondly, a proof-of-concept application has been developed to simulate what has been proposed in the research work. Finally, Android application has been designed and implemented in order to evaluate and study the techniques presented in a practical scenario. Moreover, in the android application known as SundsvallBIGBuddies, we have used the extensions designed for the existing MediaSense platform. The impact of using Android app relaying on a continuous stream of context data has been presented using graphs and tables. In order to study the impact we used smart phone and tablets from Samsung.
Place, publisher, year, edition, pages
2013. , 60 p.
IdentifiersURN: urn:nbn:se:miun:diva-20619OAI: oai:DiVA.org:miun-20619DiVA: diva2:677813
Subject / course
Computer and System Sciences
International Master's Programme in Computer Engineering TDAAA 120 higher education credits
2013-10-17, L212, Holmgatan 10 851 70, Sundsvall, 13:00 (English)
Forsström, Stefan, Phd Student
Zhang, Tingting, Professor