Ms. Shofiyati Nur Karimah, School of Information Science has received Best Presenter Award in IEEE Colloquium on Signal Processing and Applications 2016
A conference paper presented by Ms. Shofiyati Nur Karimah, a Master Course Student in Information Theory and Signal Processing Lab., School of Information Science has been awarded as Best Presenter Award on her paper, "A Hybrid TOA and RSS-based Factor Graph for Wireless Geolcation Technique", in IEEE Colloquium on Signal Processing and Applications (CSPA) 2016. The conference took place in Melaka, Malaysia, 4 - 6, March, 2016. More than 100 papers were submitted, and after the rigorous review process, only 70 papers in total, were accepted for presentations as well as their inclusion in IEEE Xplore. Of the 70 papers presented, only two presenters were selected as the Best Presenter awardees, by the conference committee.
The conference CSPA 2016 covers new insights into the latest innovations in the theoretical as well as experimental results on techniques/technologies from a diverse range of topics in science and engineering from academia and industries in need of sophisticated signal processing techniques. This conference is technically cosponsored by IEEE Control Systems Society Malaysian Section.
For more details, please see:https://sites.google.com/site/cspa2016malaysia/
| [Date awarded] | March 5, 2016 |
| [Title] | "A Hybrid TOA and RSS-based Factor Graph for Wireless Geoplcation Technique" |
| [Author] | Shofiyati Nur Karimah,Muhammad Reza Kahar Aziz,Tad Matsumoto |
| [Abstract] | This paper proposes a new hybrid time-of-arrival (TOA) and received-signal-strength (RSS)-based factor graph (TRFG) for wireless geolocation technique. The TOA-based FG (TFG) provides rough estimated position which is used to select the most appropriate monitoring spot positions, i.e., at least four monitoring spots surrounding the target, and initial target position for RSS-based FG (RFG) technique. The performance of the proposed technique is verified through making comparison with the conventional TFG-only technique suffering from imperfect time synchronization, as well as with the idealistic RFG technique, in terms of the root mean squared error (RMSE) of the estimate. It is shown that the RFG technique utilizing the result of TFG achieves close performance to the idealistic RFG technique where the optimal monitoring spots are assumed to be always correctly identified. Hence, the proposed technique outperforms the TFG-only technique in terms of estimation accuracy. |
| [Comment] | I am very pleased and honored that my presentation in CSPA 2016 has been selected as the best presenter award. In this opportunity, I would like to thank to Prof. Tad Matsumoto and MSc. Reza Kahar for their supervision, encouragement, and knowledge sharing. I also would like to thank Prof. William Holden for his lecture that has made me possible to make a good presentation. I do believe that such high score of my presentation is because of their enormous efforts for the improvement of paper well as my presentation skill. I would like also to thank for continuous support from my family in Indonesia, and 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 Co. Ltd. |
Ms. Shofiyati Nur Karimah
April 1, 2016
