Johan Mohamad Sharif

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Growing data traffic generated by several sources in a Body Area Network (BAN) leads to congestion. One of the major challenges in BANs is congestion alleviation. Congestion causes packet drops which leads to lower network performance and higher delay due to packet retransmission. In this study, a novel traffic redirection based congestion control scheme is(More)
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average [3-5]. In this study, we demonstrate a visual(More)
Multimedia Over IP (MOIP) is one of IP-based real-time communication that has been gaining popularity in recent years. Quality-of-service (QoS) is still one of the major challenges in real-time communication over IP networks. Excessive delay severely impairs communication interactivity, while packet loss results in glitches in audio and poor picture quality(More)
Scientists has largely understand the structure of glass and the ion trajectories has largely relied on statistical analysis of data collected from experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been ignored in favor of ensemble average. In this works, we present a visual(More)
Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal and collaboration among datasets. Our goal is to contrive effective visual(More)
— Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to contrive effective(More)
Spatio-temporal dataset is a collection of datasets where data is vary in both space and time. Theoretically, such a datasets can be considered as a continuous and discrete. n R an n-dimensional scalar field. Examples, of such data sets include time-varying simulation results, films and videos, time-varying medical datasets, geometry models with motion or(More)
  • 1