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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SDM | 2023-01-30 13:40 |
Tokyo | Kikai-Shinko-Kaikan Bldg. B3-1 | [Invited Talk]
A c-axis aligned crystalline IGZO FET and a 0.06-µm2 HfO2-based Capacitor 1T1C FeRAM with High Voltage Tolerance and 10-ns Write Time Kazuaki Ohshima, Masami Endo, Shiyuu Numata, Yuji Egi, Fumito Isaka, Toshikazu Ohno, Sachiaki Tezuka, Toshiki Hamada, Kazuma Furutani, Kazuki Tsuda, Takanori Matsuzaki, Tatsuya Onuki, Tsutomu Murakawa, Hitoshi Kunitake (SEL), Masaharu Kobayashi (The Univ. of Tokyo), Shunpei Yamazaki (SEL)  SDM2022-80 |
We fabricated ferroelectric memories using oxide semiconductor field-effect transistors and HfO2-based capacitors. A da... [more] |
SDM2022-80 pp.5-8 |
| IPSJ-SLDM, RECONF, VLD [detail] | 2023-01-23 11:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Evaluation of reduced routing resources for HPC-Oriented CGRAs Carlos Cortes, Boma Adhi, Tomohiro Ueno (RIKEN Center for Computational Science (R-CCS)), Yiyu Tan (Dept of Systems Innovation Engineering Iwate Univ.), Takuya Kojima (Information Science and Technology The Univ. of Tokyo), Artur Podobas (KTH Royal Inst. of Technology), Kentaro Sato (RIKEN Center for Computational Science (R-CCS)) VLD2022-59 RECONF2022-82 |
[more] | VLD2022-59 RECONF2022-82 pp.19-23 |
| RCS, NS (Joint) |
2022-12-15 16:10 |
Aichi | Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Design of stateless 5G core network with procedural processing Hiroki Watanabe, Keiichi Shima, Tomoya Hasegawa, Tatsuro Murata, Tomoaki Kanaya, Ryoji Hirai, Takahiro Hirotaka (SoftBank), Kunio Akashi, Seiichi Yamamoto, Takuji Iimura, Yuji Sekiya (The Univ. of Tokyo), Katsuhiro Horiba (SoftBank) NS2022-139 |
In standard 5GC, a single Network Function (NF) serves a large number of User Equipments (UEs), and the context of a UE ... [more] | NS2022-139 pp.54-59 |
| QIT (2nd) |
2022-12-08 17:45 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
Optimal Measurement Configurations for Sequential Quantum Optimization of Variational Quantum Eigensolver Katsuhiro Endo (AIST/Keio Univ.), Hiroshi Watanabe (Keio Univ.), Yuki Sato (Toyota Central R&D Labs., Inc./Keio Univ.), Rudy Raymond (IBM Japan,Ltd./Keio Univ./The Univ. of Tokyo), Naoki Yamamoto, Mayu Muramatsu (Keio Univ.) |
Variational Quantum Eigenvalue solver (VQE) is a hybrid algorithm that optimizes a quantum state represented by a parame... [more] | |
| MBE, NC | 2022-12-03 11:50 |
Osaka | Osaka Electro-Communication University | Extracting Standard Inter-area Laminar Projection Pattern of Isocortex Yudai Suzuki (The Univ. of Tokyo), Yoshimasa Tawatsuji (Waseda Univ.), Hiroshi Yamakawa (WBAI/The Univ. of Tokyo) MBE2022-34 NC2022-56 |
In the field of neuroscience, various laminar organization of isocortex (Laminar Organization) and inter-area laminar pr... [more] | MBE2022-34 NC2022-56 pp.51-56 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 15:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
A Study on Distributed Machine Learning with Rich Devices Feedbacking Results to Edge Servers Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2022-111 |
Many recent studies have focused on using the data collected by edge devices for machine learning by aggregating those d... [more] | NS2022-111 pp.65-70 |
| SANE | 2022-11-10 13:25 |
Chiba | Chiba Univ. (Nishi-Chiba Campus) (Primary: On-site, Secondary: Online) |
InSAR using Drone-Borne MIMO-FMCW Radar and its Validation Ryotaro Yamakawa, Akira Hirose, Ryo Natsuaki (The Univ. of Tokyo) SANE2022-55 |
Synthetic Aperture Radar (SAR) is mainly mounted on satellites, while in order to use SAR more effectively, there has be... [more] | SANE2022-55 pp.29-34 |
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reinforcement Learning-based Method for Reducing Power Consumption of BLE Advertisements Minoru Fujisawa (Tokyo Univ. of Science), Hiroyuki Yasuda (The Univ. of Tokyo), Ryosuke Isogai, Yoshifumi Yoshida (SEIKO FUTURE CREATION INC.), Song-Ju Kim (SOBIN Inst.), Mikio Hasegawa (Tokyo Univ. of Science) |
Bluetooth Low Energy (BLE) has been applied to various IoT applications due to the popularization of Bluetooth-enabled d... [more] | |
| NS | 2022-10-05 17:05 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Reducing Device Processing Load and Communication Overhead by Distillation in Federated Learning Hiromichi Yajima, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.), Shota Ono (The Univ. of Tokyo) NS2022-87 |
In recent years, machine learning has been used in many cases to discover the rules or to predict future results from a ... [more] | NS2022-87 pp.29-32 |
| NC, MBE (Joint) |
2022-09-30 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A hypothesis of function considering reciprocal inhibitory mechanisms in the amygdala that enable extinction learning and relapse in fear conditioning. Tatsuya Miyamoto, Yoshimasa Tawatsuji (Waseda Univ.), Hiroshi Yamakawa (The Univ. of Tokyo) NC2022-41 |
We investigated the neural circuitry of the amygdala and focused on fear conditioning, which is the most studied importa... [more] | NC2022-41 pp.38-43 |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 16:00 |
Online | IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya (The Univ. of Tokyo) SDM2022-53 ICD2022-21 |
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] | SDM2022-53 ICD2022-21 pp.87-92 |
|
| IN, CCS (Joint) |
2022-08-04 14:20 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
A Study of Low Power BLE Advertising Method Based on Reinforcement Learning Hiroyuki Yasuda (The Univ. of Tokyo), Minoru Fujisawa (Tokyo Univ. of Science), Ryosuke Isogai, Yoshifumi Yoshida (SEIKO HOLDINGS Corp.), Song-Ju Kim (Tokyo Univ. of Science), Yozo Shoji (NICT), Kazuyuki Aihara (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2022-33 |
Bluetooth Low Energy (BLE) has been applied to various IoT services because of its versatility and energy efficiency. In... [more] | CCS2022-33 pp.35-40 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 13:00 |
Online | Online | Characterization of Audio-Vocal Mirror Neurons in The Songbird Basal Ganglia Yuka Suzuki (The Univ. of Tokyo), Shin Yanagihara, Kazuo Okanoya (Teikyo Univ.) SP2022-5 |
Integration of auditory and vocal-motor information is essential for songbirds to learn a song. Neurons in the premotor ... [more] | SP2022-5 pp.14-17 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 13:00 |
Online | Online | SP2022-6 |
Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for blind speech extraction. In RCSCME, we de... [more] | SP2022-6 pp.18-23 |
| CCS, NLP | 2022-06-10 16:20 |
Osaka | (Primary: On-site, Secondary: Online) |
A Study on Autonomous Distributed TDMA Using Synchronization Theory for Low Power Intermittent Communication Hiroyuki Yasuda (The Univ. of Tokyo), Takahito Mitsui (Technical Univ. of Munich), Kazuyuki Aihara (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) NLP2022-23 CCS2022-23 |
The Internet of Things (IoT), a large-scale network of many communication terminals, requires autonomous decentralized c... [more] | NLP2022-23 CCS2022-23 pp.117-122 |
| CCS, NLP | 2022-06-10 17:10 |
Osaka | (Primary: On-site, Secondary: Online) |
Application of pairing optimization algorithm to non-orthogonal multiple access Naoki Fujita, Andre Roehm, Takatomo Mihana, Ryoichi Horisaki (The Univ. of Tokyo), Aohan Li (The Univ. of Electro-Communications), Mikio Hasegawa (Tokyo Univ. of Science), Makoto Naruse (The Univ. of Tokyo) NLP2022-25 CCS2022-25 |
Non-Orthogonal Multiple Access (NOMA) is a promising next-generation communication technology that enables multiple term... [more] | NLP2022-25 CCS2022-25 pp.129-134 |
| US | 2022-05-19 14:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Transfer matrix simulation of Langevin type transducer driving including the nonlinear effect Kota Yokoyama (The Univ. of Tokyo/NGK Spark Plug), Takashi Kamashima (NGK Spark Plug), Susumu Miyake, Takeshi Morita (The Univ. of Tokyo) US2022-7 |
Bolt-clamped Langevin transducer are widely used for high-power applications; however, saturation of vibration velocity ... [more] | US2022-7 pp.26-31 |
| US | 2022-05-19 14:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Focusing mechanism of Tube-Type Double-Parabolic-Reflectors Ultrasonic Transducer Kyohei Yamada, Chen Kang (The Univ. of Tokyo), Takasuke Irie (Microsonic), Takashi Iijima (AIST), Susumu Miyake, Takeshi Morita (The Univ. of Tokyo) US2022-8 |
(To be available after the conference date) [more] | US2022-8 pp.32-37 |
| MSS, NLP | 2022-03-29 10:05 |
Online | Online | Relationship between Computational Performance and Task Difficulty of Reinforcement Learning Methods Using Reward Machines Ryuji Watanabe, Gouhei Tanaka (The Univ. of Tokyo) MSS2021-70 NLP2021-141 |
In reinforcement learning, it is necessary to take into account the history of past state transitions during learning fo... [more] | MSS2021-70 NLP2021-141 pp.77-82 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:15 |
Online | Online | Unsupervised adaptation of appearance-based gaze estimation models for domains with different label distributions. Takuru Shimoyama, Yusuke Sugano (The Univ. of Tokyo) PRMU2021-61 |
The annotation of gaze estimation is time-consuming, and it is not easy to collect training data under the exact same li... [more] | PRMU2021-61 pp.7-12 |
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