Mr. Muhammad Reza Kahar Aziz of School of Information Science has received Overall Best Paper award in Asia Modelling Symposium 2015
A conference paper presented by Mr. Muhammad Reza Kahar Aziz, a 3rd year doctral Student in Information Theory and Signal Processing Lab., School of Information Science has been awarded as Overall Best Paper in Asia Modelling Symposium (AMS) 2015. The conference took place in Kuala Lumpur, Malaysia, 7 - 9, September 2015. Submissions were from over 20 countries, and after the rigorous review process, only 27 papers in total, were accepted for presentations as well as their inclusion in IEEE Xplore. Of the 27 papers, only one paper was selected as the Overall Best Paper, based on the review scores by four external evaluators.
The conference AMS 2015 covers new insights into the latest innovations in the mathematical and analytical modelling and computer simulation of a diverse range of topics in science, engineering and technology focused on intelligent systems and innovative algorithms and techniques. This conference is technically cosponsored by: Asia Modelling and Simulation Section of the UK Simulation Society, IEEE UK & RI Computer Chapter, IEEE Malaysia Section, European Simulation Council (EUROSIM), European Council for Modelling and Simulation (ECMS), and several universities in Malaysia and UK.
|[Date awarded]||September 8, 2015|
|[Title]||"A New Wireless Geolocation Technique Using Joint RSS-based Voronoi and Factor Graph"|
|[Author]||Muhammad Reza Kahar Aziz, Yuto Lim, and Tad Matsumoto|
|[Abstract]||This paper proposes a new joint received signal strength (RSS)-based Voronoi and factor graph (RVFG) for wireless geolocation technique. The RSS-based Voronoi (RV) geolocation technique is used to select the appropriate four monitoring spots of RSS-based factor graph (RFG) covering the target. The RV technique is also used to provide the initial position of RFG technique. We modify the Voronoi geolocation algorithm so that it can be performed in the fusion center. The performance of the proposed technique is compared in term of the root mean square (RMSE) to that of the conventional Voronoi only technique. The results show that the accuracy of the proposed technique out performs the conventional RV technique.|
|[Comment]||I am very pleased and grateful to know that my paper presented in AMS 2015 has been selected as the overall best paper. In this opportunity, I would like to thank to Prof. Yuto Lim and Prof. Tad Matsumoto as the second and last authors of this paper who stimulated myself, initiated the ideas, provided guidance, and high quality reviewing of the manuscript. I do believe that such high score of this paper is because of their enormous efforts for the improvement of the paper. I would like also to thank for continuous support from my little family in Japan, big families in Indonesia, all brothers and sisters, members of Information Theory and Signal Processing Lab. This research results will be further improved and tested in real fields towards its practical operation in the 2020 Tokyo Olympic games, under the financial support of Koden Electronics.|
|Left:Mr.Muhammad Reza Kahar Aziz|
October 8, 2015