Browsing by Author "Ahmad Suhail, Nazir"

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    Multimedia to Enhance Blended Learning Experience in Constrained Low Bandwidth Environment
    (Springer, Berlin, Heidelberg, 2012) Ahmad Suhail, Nazir; Lubega, Jude T.; Maiga, Gilbert
    This paper identifies multimedia compatible with the challenges of constrained low bandwidth environment by using a Multi Level Systematic Approach (MLSA) through literature investigation, aimed to enhance blended learning experience in developing countries. At level I, a huge database for various media formats was identified. At level II, most commonly used visual media was selected based upon the usability characteristics. At Level III, we conducted a critical deep investigation of selected very commonly used media formats using different characteristics. The analysis of Level III investigation was done at Level IV. The study concluded that MP4, MP3 and JPEG or PNG are, respectively, the video, audio and graphic formats compatible with the challenges of constrained low bandwidth environment. This paper extends some sections of the previous work published by the same authors.
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    Optimization Based Multimedia Performance to Enhance Blended Learning Experience in Constrained Low Bandwidth Environment
    (Springer, Berlin, Heidelberg., 2011) Ahmad Suhail, Nazir; Lubega, Jude T.; Maiga, Gilbert
    The efficient transmission of multimedia applications and time sensititive applications in particular, over the heterogeneous networks is a challenging research problem that requires investigation. This paper focuses on an experimental testbed designed to verify the theoretical concept; performance of multimedia content can be improved by optimizing both network and application. User-driven parameter ‘latency’ was used to achieve the objective, during transmission of multimedia files (video, audio, graphics, and text) over a wireless network. Results indicated that latency factor was reduced significantly, when optimization technique was applied on both network and multimedia content as compared to applying on each component individually. This work falls within the scope of “Optimization Technique for Implementation of Blended Learning in Constrained Low Bandwidth Environment” [1].