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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Indonesian Journal of Electrical Engineering and Computer Science
Tulsi Pawan Fowdur
University of Mauritius
Computer Science & IT Electrical & Electronics Engineering

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Analysing Transportation Data with Open Source Big Data Analytic Tools Yogesh Beeharry; Tulsi Pawan Fowdur; Visham Hurbungs; Vandana Bassoo; Vidasha Ramnarain-Seetohul
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 5, No 2: June 2017
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v5i2.297

Abstract

Big data analytics allows a vast amount of structured and unstructured data to be effectively processed so that correlations, hidden patterns, and other useful information can be mined from the data. Several open source big data analytic tools that can perform tasks such as dimensionality reduction, feature extraction, transformation, optimization, are now available. One interesting area where such tools can provide effective solutions is transportation. Big data analytics can be used to efficiently manage transport infrastructure assets such as roads, airports, bus stations or ports. In this paper an overview of two open source big data analytic tools is first provided followed by a simple demonstration of application of these tools on transport dataset.
A Concealment Aware UEP scheme for H.264 using RS Codes Deevya Indoonundon; Tulsi Pawan Fowdur; Sunjiv Soyjaudah
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp671-681

Abstract

H.264/AVC is currently the most widely adopted video coding standard due to its high compression capability and flexibility. However, compressed videos are highly vulnerable to channel errors which may result in severe quality degradation of a video. This paper presents a concealment aware Unequal Error Protection (UEP) scheme for H.264 video compression using Reed Solomon (RS) codes. The proposed UEP technique assigns a code rate to each Macroblock (MB) based on the type of concealment and a Concealment Dependent Index (CDI). Two interleaving techniques, namely Frame Level Interleaving (FLI) and Group Level Interleaving (GLI) have also been employed. Finally, prioritised concealment is applied in cases where error correction is beyond the capability of the RS decoder. Simulation results have demonstrated that the proposed framework provides an average gain of 2.96 dB over a scheme that used Equal Error Protection (EEP).
Co-Authors Deevya Indoonundon Sunjiv Soyjaudah Vandana Bassoo Vidasha Ramnarain-Seetohul Visham Hurbungs Yogesh Beeharry