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Technical Committee on Integrated Circuits and Devices (ICD) (Searched in: 2021)
Search Results: Keywords 'from:2021-08-17 to:2021-08-17'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 09:30 |
Online | Online | [Invited Talk]
Development of sub-aF accuracy high resolution and realtime CMOS proximity capacitance image sensors Rihito Kuroda (Tohoku Univ.) |
[more] | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 10:15 |
Online | Online | [Invited Talk]
Buried nanomagnet realizing high-speed/low-variability silicon spin qubits: implementable in error-correctable large-scale quantum computers Shota Iizuka, Kimihiko Kato, Atsushi Yagishita, Hidehiro Asai, Tetsuya Ueda, Hiroshi Oka, Junichi Hattori, Tsutomu Ikegami, Koichi Fukuda, Takahiro Mori (AIST)  SDM2021-30 ICD2021-1 |
We propose a buried nanomagnet (BNM) realizing high-speed/low-variability silicon spin qubit operation, inspired by buri... [more] | SDM2021-30 ICD2021-1 pp.1-6 |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 11:00 |
Online | Online | [Invited Talk]
Development of 144-bit CMOS Annealing Processor with Scalable Chip-to-Chip Connections for Large-Scale Combinatorial Optimization Problems Takashi Takemoto, Kasho Yamamoto, Chihiro Yoshimura, Mashiro Mayumi, Masanao Yamaoka (Hitachi) SDM2021-31 ICD2021-2 |
[more] | SDM2021-31 ICD2021-2 pp.7-11 |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 11:45 |
Online | Online | Approximation of Non-Linear Function for Hardware Implementation of Echo-State-Network Amartuvshin Bayasgalan, Makoto Ikeda (UTokyo) SDM2021-32 ICD2021-3 |
Reservoir computing (RC) is a machine-learning algorithm that can learn complex temporal signals while presenting a fast... [more] | SDM2021-32 ICD2021-3 pp.12-17 |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 13:10 |
Online | Online | [Invited Talk]
Real Haptics and Its Impact to Future Society Kouhei Ohnishi (Keio Univ.) |
[more] | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 13:55 |
Online | Online | Study of an Event-Driven CMOS Image Sensor Using Deep Learning (1)
-- Verification of Image Classification Using Low Bit-Resolution Feature Images -- Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
[more] | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 14:20 |
Online | Online | Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2)
-- An A/D Converter with Low-Resolution and Power-Saving Operation Mode -- Koshiro Itsuki, Shunsuke Okura (Ritsumeikan Univ.) |
[more] | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 14:45 |
Online | Online | Image Recognition of HDR Images with Dual Gain CMOS Image Sensor Takuya Kitamura, Kota Yoshida, Tetsushi Ikeda (Ritsumeikan Univ.), Shinichi Ikenaga, Isao Takayanagi (Brillnics), Shunsuke Okura (Ritsumeikan Univ.) |
[more] | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 15:25 |
Online | Online | [Invited Talk]
A 1-inch 17Mpixel 1000fps Block-Controlled Coded-Exposure Back-Illuminated Stacked CMOS Image Sensor for Computational Imaging and Adaptive Dynamic Range Control Hironobu Murata, Tomoki Hirata, Hideaki Matsuda, Yojiro Tezuka, Shiro Tsunai (Nikon) SDM2021-33 ICD2021-4 |
[more] | SDM2021-33 ICD2021-4 pp.18-21 |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 16:10 |
Online | Online | Design and Evaluation of ToF image sensor with Pulse-Frequency-Modulation Pixel for In-Pixel Code Discrimination Nao Watanabe, Makoto Ikeda (Univ. of Tokyo) SDM2021-34 ICD2021-5 |
ToF's operational issues include multi-user interference and intentional attacks by third party. To deal with such inter... [more] | SDM2021-34 ICD2021-5 pp.22-27 |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 16:35 |
Online | Online | Design and evaluation of phase shifter for range-extension of ToF imager Jiang Dingyu, Makoto Ikdeda (UTokyo) SDM2021-35 ICD2021-6 |
The 3D imaging has been becoming more and more popular in the image sensor field. Among the depth range finding methods,... [more] | SDM2021-35 ICD2021-6 pp.28-32 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 09:30 |
Online | Online | [Invited Talk]
Analog in-memory computing in FeFET based 1T1R array for low-power edge AI applications Daisuke Saito, Toshiyuki Kobayashi, Hiroki Koga (SONY), Yusuke Shuto, Jun Okuno, Kenta Konishi (SSS), Masanori Tsukamoto, Kazunobu Ohkuri (SONY), Taku Umebayashi (SSS), Takayuki Ezaki (SONY) SDM2021-36 ICD2021-7 |
Deep neural network (DNN) inference for edge AI requires low-power operation, which can be achieved by implementing mass... [more] | SDM2021-36 ICD2021-7 pp.33-37 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 10:15 |
Online | Online | [Invited Talk]
Voltage-sensing FeFET CiM with MAC by Source-follower Read and Charge-sharing Chihiro Matsui, Kasidit Toprasertpong, Shinichi Takagi, Ken Takeuchi (Univ. Tokyo) SDM2021-37 ICD2021-8 |
An energy-efficient and high-throughput HZO FeFET Computation-in-Memory (CiM) is proposed. The FeFET CiM performs voltag... [more] | SDM2021-37 ICD2021-8 pp.38-41 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 11:00 |
Online | Online | [Invited Talk]
Demonstration of HfO2-based ferroelectric ultra-thin films with low operating voltage, low process temperature, and high endurance
-- Toward embedded memory in advanced technology nodes -- Kasidit Toprasertpong, Kento Tahara (Univ. Tokyo), Yukinobu Hikosaka, Ko Nakamura, Hitoshi Saito (Fujitsu Semiconductor Memory Solution), Mitsuru Takenaka, Shinichi Takagi (Univ. Tokyo) SDM2021-38 ICD2021-9 |
In this study, we demonstrate the importance of the thickness scaling of Hf0.5Zr0.5O2 thin films for the ferroelectric m... [more] | SDM2021-38 ICD2021-9 pp.42-47 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 13:00 |
Online | Online | [Invited Talk]
A 12nm autonomous driving processor running 60.4 TOPS and 13.8 TOPS/W CNNs with task-separated ASIL D control Katsushige Matsubara, Lieske Hanno (Renesas Electronics), Motoki Kimura (Renesas Electronics Europe), Atsushi Nakamura, Manabu Koike, Kazuaki Terashima, Shun Morikawa, Yoshihiko Hotta, Takahiro Irita, Seiji Mochizuki, Hiroyuki Hamasaki, Tatsuya Kamei (Renesas Electronics) SDM2021-39 ICD2021-10 |
Next-generation driver assistance systems and automated driving systems require both high performances to realize enormo... [more] | SDM2021-39 ICD2021-10 pp.48-53 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 13:45 |
Online | Online | Performance Evaluation of Serial-Parallel Montgomery Multipliers for RNS Hiroyuki Tsubouchi, Mitsunaga Kinjo, Katsuhiko Shimabukuro (Univ. of the Ryukyus) SDM2021-40 ICD2021-11 |
Modulo operations are required in RNS (Residue Number System) which enables to perform highly parallel computation. Also... [more] | SDM2021-40 ICD2021-11 pp.54-57 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 14:10 |
Online | Online | Design of interface circuits for electrostatic energy transducer with an open circuit voltage over 10V Yosuke Ishida, Toru Tanzawa (Shizuoka univ.) SDM2021-41 ICD2021-12 |
An AC-DC converter interface circuit for electrostatic vibration energy harvesting was designed, fabricated and evaluate... [more] | SDM2021-41 ICD2021-12 pp.58-63 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 14:50 |
Online | Online | [Invited Talk]
Latch Based Static and Dynamic Random Number Generators for Information Security Hirofumi Shinohara, Kunyang Liu, Ruilin Zhang, Xingyu Wang (Waseda Univ.) SDM2021-42 ICD2021-13 |
This paper describes latch-based TRNG and PUF with highly stable operations [more] | SDM2021-42 ICD2021-13 pp.64-67 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 15:35 |
Online | Online | Evaluation of Side-channel Leakage on High-speed Asynchronous Successive Approximation Register AD Converters Ryozo Takahashi, Kazuki Monta, Takuji Miki, Makoto Nagata (Kobe Univ.) SDM2021-43 ICD2021-14 |
This paper presents an evaluation of security level on high-speed asynchronous successive approximation register (SAR) a... [more] | SDM2021-43 ICD2021-14 pp.68-71 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 16:00 |
Online | Online | An Area Efficient Readout Circuit for CMOS Image Sensor with Lateral Overflow Integration Capacitor Ai Otani, Shunsuke Okura (Ritsumeikan Univ.), Ken Miyauchi, Sangman Han, Hideki Owada, Isao Takayanagi (BRILLNICS) |
[more] | |
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