The following paper has been accepted for publication in IEEE Transactions on Power Electronics (TPEL).
- Michihiro Shintani, Aoi Ueda, and Takashi Sato, “Accelerating Parameter Extraction of Power MOSFET Models Using Automatic Differentiation,” IEEE Transactions on Power Electronics (TPEL), (accepted for publication).
The following paper has been accepted for publication in IEEE Transactions on Information Forensics and Security (TIFS).
This work is a joint research with Nanjing University of Aeronautics and Astronautics.
Song Bian, Dur E Shahwar Kundi, Kazuma Hirozawa, Weiqiang Liu, and Takashi Sato, “APAS: Application-specific accelerators for RLWE-based homomorphic linear transformations,” IEEE Transactions on Information Forensics and Security (TIFS), (early access) doi: 10.1109/TIFS.2021.3114032.
The following paper has been accepted for presentation in ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC).
- 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.
The following paper have been accepted for presentation at the 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
Shirakami (M2) presented his research in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021 held online on June 28-30, 2021 (Presentation date: 30th).
Shirakami’s presentation is about the extraction of heart rate variability (HRV) using commodity Wi-Fi devices. The variation of each heartbeat, or heart rate variability, can be used for stress assessment and emotion recognition. Previous heart rate estimation methods using commodity Wi-Fi devices can estimate the heart rate of the subject near the devices without contact by analyzing data called channel state information (CSI). However, only the average heart rate can be estimated because Fast Fourier Transform (FFT) over a long time window is required. In this study, we proposed a method to estimate the HRV by combining signal selection based on the standard deviation of the interbeat intervals and signal processing for noise reduction. The experimental results show that the HRV can be extracted for some antenna and subject positions for the first time.
Qin (D2) presented his research in IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) 2021 held online on June 20-23, 2021 (Presentation date: 21st).
Qin’s presentation is on scratchpad memory for flexible electronics using low-voltage organic thin-film transistors (OTFTs), which are attracting attention for their applications in flexible sensors due to their flexibility and low cost of fabrication. In such applications, a memory that can store data in the vicinity of the sensor is required. In this study, based on the structure of silicon-based SRAM circuits, we proposed a memory cell with better area efficiency and stability by using a p-type transistor as the access transistor. In addition, a degradation mitigation circuit was employed to prevent OTFT degradation and to improve data retention time. Through measurements on a test chip, we verified that a small scale array of the proposed scratchpad memory works correctly and that the degradation mitigation circuit prevents the degradation of the memory cell.
- Zhaoxing Qin, Kazunori Kuribara, and Takashi Sato, “An SRAM-Based Scratchpad Memory for Organic IoT Sensors,” The IEEE International Conference on Flexible, Printable Sensors and Systems (FLEPS), June 2021.
Our graduate student, Mr. Ono, and Prof. Sato gave research presentations in IEEE International Symposium on Circuits and Systems 2021 held in Hybrid (Online + On-site (Daegu, Korea)) from May 23 to 26, 2021 (Presentation date: 25th for Sato and 27th for Ono).
Ono’s presentation is about automatic parameter tuning for GPU implementation of module learning with errors (MLWE) problem-based quantum key exchange. Post-quantum cryptography, which is resilient against attacks using quantum computers, has been attracting attention, and Kyber is one of the examples.
Since the MLWE problem involves a matrix manipulations with polynomial elements, GPU-based implementations have been proposed because of their capability for highly parallel data processing. However, since performance requirements, such as latency and throughput, vary from application to application, and since there exist a broad range of GPUs, it is necessary to optimize the implementation for each application. In this study, we proposed a GPU implementation of Kyber that allows the user to configure the parameters, and an auto-tuning framework that measures the performance and determines the optimal parameters. The evaluation function used to determine the parameters can be defined by the user, allowing optimization according to requirements. The proposed framework improves the performance by up to 85.5% compared to the original implementation when the evaluation function is the latency-to-throughput ratio. We have made our implementation available as open source.
Sato’s presentation is on Clonable PUFs (CPUFs), which are physically unclonable function (PUF) circuits that allow for cloning during fabrication time only. PUFs are emerging as a security primitive, but have an issue that the authentication protocol is centralized on the server that owns the challenge-response pair database. In this paper, we proposed a new concept of PUF that allows for a decentralized authentication among individual PUFs, as opposed to the existing centralized authentication scheme.
Sorry, this entry is only available in 日本語.
The following two papers have been accepted for presentation at the International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) 2021.
- Kyohei Shimozato, Yohei Nakamura, and Takashi Sato, “Analysis of thermal concentration failure in unclamped inductive switching based on three-dimensional electro-thermal simulation with on-chip variation,” in Proc. International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), (to appear)
- Hiroki Tsukamoto, Song Bian, and Takashi Sato, “Statistical device modeling with arbitrary model-parameter distribution via Markov Chain Monte Carlo,” in Proc. International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), (to appear)
The following paper has been accepted for presentation in IEEE BHI 2021 (The IEEE-EMBS International Conference on Biomedical and Health Informatics 2021). Acceptance rate: 32.7%
Itsuki Shirakami and Takashi Sato, “Extraction of heart rate variability using commodity Wi-Fi devices,” in Proc. IEEE International Conference on Biomedical and Health Informatics (BHI), (to appear).