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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 15:45 |
Hokkaido | Hokkaido University (Primary: On-site, Secondary: Online) |
IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification Wang Ruizhi, Takamiya Makoto (The Univ. of Tokyo) |
[more] | |
| IN, CCS (Joint) |
2022-08-04 14:40 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Energy-efficient BLE Advertisement Based on Reinforcement Learning Hiroyuki Yasuda (The Univ. of Tokyo), Minoru Fujisawa (Tokyo Univ. of Science), Kazuyuki Aihara (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) |
[more] | |
| NLP | 2022-08-02 15:30 |
Tokyo | (Primary: On-site, Secondary: Online) |
The energy-accuracy trade-off in thresholding Nobumasa Ishida, Yoshihiko Hasegawa (Univ. of Tokyo) |
[more] | |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 09:10 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
R&D and Future Prospects for Wireless Power Transfer Technologies in IoT/CPS Yoshiaki Narusue (Univ. of Tokyo) |
(To be available after the conference date) [more] | RCC2022-24 NS2022-37 RCS2022-78 SR2022-24 SeMI2022-28 p.36(RCC), p.59(NS), p.54(RCS), p.24(SR), p.46(SeMI) |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo)  NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| 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 |
| QIT (2nd) |
2022-05-31 13:30 |
Online | Online | Fast decoding algorithms with Fenwick trees for surface codes under non-uniform errors Tomochika Arai (Univ. of Tokyo), Yasunari Suzuki, Yuuki Tokunaga (NTT) |
Surface codes are one of the most promising quantum error-correcting codes, and its error estimation can be rephrased as... [more] | |
| 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 |
| HCS, HIP, HI-SIGCE [detail] | 2022-05-15 12:50 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Influence of visual perception on computational fluency
-- Exploring potential applications for learning support -- Souko Inoue (MIS), Maiko Takahashi (Univ. of Tokyo) HCS2022-10 HIP2022-10 |
The ability to calculate fluently is one of the basic academic skills, but certain students have difficulty acquiring it... [more] | HCS2022-10 HIP2022-10 pp.47-52 |
| EA | 2022-05-13 10:55 |
Online | Online | Direction estimation system using a monaural microphone for rescuing people buried under rubble Ayumi Matsumoto, Kazuyuki Arikawa, Hiroki Miyazako, Keisuke Hasegawa, Takaaki Nara (Univ. of Tokyo) EA2022-2 |
Position estimation methods in situations where Global Navigation Satellite System is not available are drawing attentio... [more] | EA2022-2 pp.7-13 |
| MSS, NLP | 2022-03-29 09:40 |
Online | Online | Effects of sparse connections in spiking neural networks for unsupervised pattern recognition Hiroki Shinagawa, Kantaro Fujiwara, Gouhei Tanaka (Univ. of Tokyo) MSS2021-69 NLP2021-140 |
Recently, the spiking neural network (SNN) models, which compute using spatio-temporal information representation by neu... [more] | MSS2021-69 NLP2021-140 pp.71-76 |
| 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 |
| NS, IN (Joint) |
2022-03-11 11:20 |
Online | Online | A Service Mesh Controller for Cooperative Load Balancing of Neighboring Edge Servers Toru Furusawa (Toyota/The Univ. of Tokyo), Hiroshi Abe, Kazuya Okada (Toyota), Akihiro Nakao (The Univ. of Tokyo) NS2021-148 |
Micro Service Architecture (MSA) using container virtualization technology and Kubernetes provides high scalability and ... [more] | NS2021-148 pp.152-157 |
| NS, IN (Joint) |
2022-03-11 14:20 |
Online | Online | A Study on Local 5G System using Satellite Backhaul Norihiro Fukumoto, Ping Du, Takamitsu Iwai, Akihiro Nakao (Univ. of Tokyo) NS2021-157 |
The fifth generation mobile communications (5G), a critical Information and Communication Technology (ICT) infrastructur... [more] | NS2021-157 pp.207-211 |
| PRMU, IPSJ-CVIM | 2022-03-11 14:15 |
Online | Online | Precise Affordance Annotation for Egocentric Action Video Datasets Zecheng Yu, Yifei Huang, Ryosuke Furuta, Yusuke Goutsu, Yoichi Sato (Univ. of Tokyo) PRMU2021-81 |
Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge b... [more] | PRMU2021-81 pp.133-138 |
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