Paper accepted for presentation in CCNC2022

The following paper has been accepted for presentation in CCNC2022 (IEEE Consumer Communications & Networking Conference 2022). This is a joint work with the research group of Prof. Koji Yamamoto (Kyoto University).

  • Takamochi Kanda, Takashi Sato, Hiromitsu Awano, Sota Kondo, and Koji Yamamoto, “Respiratory rate estimation based on WiFi frame capture,” in Proc. IEEE consumer communications & networking conference (CCNC), pp.1-4, January 2022. arXiv

Paper accepted: WAHC2021

ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC)に以下の論文が採録されました.

  • Kotaro Matsuoka, Yusuke Hoshizuki, Takashi Sato and Song Bian, “Towards better standard cell library: Optimizing compound logic gates for TFHE,” in Proc. ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC), pp.1-4, November 2021.

Paper accepted for presentation in BioCAS 2021

The paper below has been accepted to the international conference IEEE Biomedical Circuits and Systems Conference (BioCAS) 2021.

Suraj Hebber and Takashi Sato, “Motion robust remote photoplethsymography via frequency domain motion artifact reduction,” in Proc. IEEE Biomedical Circuits and Systems Conference (BIOCAS), to appear.

Paper accepted for oral presentation at RADECS 2021

The paper below has been accepted for oral presentation at European Conference on Radiation and Its Effects on Components and Systems (RADECS) 2021. This work is joint work with Prof. Jing-Jia Lou at National Tsing Hua University, Taiwan.

T. Hsu, D. Yang, W. Liao, M. Itoh, M. Hashimoto, and J. Liou, “Processor SER Estimation with ACE Bit Analysis,” Proceedings of European Conference on Radiation and Its Effects on Components and Systems (RADECS), to appear.

ISCAS 2021

Former Ph.D. student, Dr. TaiYu Cheng at Osaka University, gave a presentation at IEEE International Symposium on Circuits and Systems 2021 held in Hybrid (Online + On-site (Daegu, Korea)) from May 23 to 26, 2021 (Presentation date: 26th).

T. Cheng and M. Hashimoto, “Minimizing Energy of Dnn Training with Adaptive Bit-Width and Voltage Scaling,” Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2021.