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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 2418  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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)
 [more]
NC, MBE
(Joint)
2022-09-30
11:10
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Mutual inhibitory mechanisms of fear state switching in the amygdala
Tatsuya Miyamoto, Yoshimasa Tawatsuji (Waseda Univ.), Hiroshi Yamakawa (The Univ. of Tokyo)
 [more]
DE, IPSJ-DBS, IPSJ-IFAT [detail] 2022-09-09
13:00
Toyama Toyama Prefectural Hall
(Primary: On-site, Secondary: Online)
Design study and preliminary experiment of pmmeter: performance microbenchmarking tool for non-volatile memory
Hirotaka Yoshioka, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa (Univ. of Tokyo)
(To be available after the conference date) [more]
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
Wang Ruizhi, Takamiya Makoto (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
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) RCC2022-24 NS2022-37 RCS2022-78 SR2022-24 SeMI2022-28
Wireless power transfer technology is expected to be a convenient means of feeding numerous rechargeable battery-powered... [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
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