Hafiz Suliman Munawar

Work place: Research Centre for Modeling & Simulation ,NUST Islamabad, Pakistan

E-mail: hafizsuliman91@gmail.com

Website:

Research Interests: Engineering, Computational Engineering, Computational Science and Engineering

Biography

Hafiz Suliman Munawar received his B.Sc Engineering degree in 2014 from UET Taxila, Pakistan. Currently he is MS research student at Research Center for Modeling and Simulation, National University of Sciences and Technology (NUST), Pakistan. With a competent interest in multidisciplinary studies.

Author Articles
Version Management by Time Based Approach in Modern Era

By Hafiz Suliman Munawar Usama Khalid Rabia Jilani Adnan Maqsood

DOI: https://doi.org/10.5815/ijeme.2017.04.02, Pub. Date: 8 Jul. 2017

Version Management is the most crucial step in Software Configuration Management. The major phases of version management is analysis of changes made, the newer version that holds all the changes is then made available. The existing techniques involve version control by means of file locking and merging of version to control and monitor the use of files and manage the changes made in them, both these approaches have certain shortcomings including loss of changes made and unnecessary delays. Hence, a new technique has been devised, the algorithm of which has been proposed in this paper. This latest model of version control comprises of a mechanism of updates based on time. There is an integration of timer and other controls which make sure that the implementation can be made by more than one user at a time and that none of the modifications are lost. This algorithm of version control has been proposed to refine the process further and open new windows for future research in this area.

[...] Read more.
Revolutionizing Telemedicine by Instilling H.265

By Hafiz Suliman Munawar Asad Ali Awan Usama Khalid Saba Munawar Adnan Maqsood

DOI: https://doi.org/10.5815/ijigsp.2017.05.03, Pub. Date: 8 May 2017

The aim of telemedicine system is to diagnose patients remotely; this includes healthcare provision to patients in far flung areas. The process of remote diagnosis is mainly dependent on bandwidths which are absolutely essential in terms of communications via the networks. Such communications have to be carefully monitored, because randomly sending data across the network and loading of packets as direct stream of cameras would result in chocking the bandwidth. Hence it is extremely important to make sure that the data is compressed so that there is minimum usage of bandwidth. But this has to be done in a way that maintains the quality at its best. This retention of good quality along with minimizing the usage of data is done by means of compression the streams obtained through cameras and then decompressing the data at the other end. This purpose was previously achieved by H.264 codec. Our major target was up gradation of the existing codec by introducing the latest; H.265. The Libde265 (Decoder) and the x265 (encoder) libraries have been used for the purpose of developing the H.265 codec. The H265 is an advanced codec, having better quality and ability to achieve far better compression than its predecessor. It has been shown through the algorithm and coding of H.265 that is has better compressing ability and the quality is maintained during the transmission of videos. This is highly desirable for the field of telemedicine as it can make improvements in providing healthcare services by easing the transmission of data in the form of videos from the patient end to the doctor’s end.

[...] Read more.
Other Articles