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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| US | 2024-01-25 13:55 |
Online | Online | Design of small ultrasonic sound source with square emitting surface using FEM Takuya Asami, Haruki Takahashi, Hikaru Miura (Nihon Univ.)  US2023-70 |
In this paper, we propose a sound source with a resonant frequency of 60 kHz and a square emitting surface as a small ul... [more] | US2023-70 pp.6-9 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 10:30 |
Tokushima | Naruto University of Education | Rotation of a nut attached to a vibrationally-stimulated bolt
-- Mechanism for determining the direction of rotation of the nut -- Hirotaka Tominaga (Saga Univ.) NLP2023-103 MICT2023-58 MBE2023-49 |
A nut inserted into a vibrated bolt or screw attached to a vibrated member will cause continuous rotation if the nut o... [more] |
NLP2023-103 MICT2023-58 MBE2023-49 pp.94-97 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 15:40 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine
-- Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory -- Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara (IVIS), Hakaru Tamukoh (kyutech) VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 |
This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir wi... [more] | VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 pp.231-236 |
| NC, MBE (Joint) |
2023-03-14 16:15 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Generation and inpainting of Kuzushiji image data using Boltzmann Machines Hiroki Ikoma (NAIST), Mauricio Bermudez, Minho Lee (KNU), Kazushi Ikeda (NAIST) NC2022-108 |
It is almost impossible for the average person to read Kuzushiji today. For this reason, there is a need to develop tool... [more] | NC2022-108 pp.94-98 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Blind Source Separation based on Independent Low-Rank Matrix Analysis using Restricted Boltzmann Machines Shotaro Furuta, Takuya Kishida, Toru Nakashika (UEC) SP2022-8 |
In this paper, we propose a new blind source separation method that combines independent low-rank source separation (ILR... [more] | SP2022-8 pp.26-29 |
| IBISML | 2022-01-17 11:00 |
Online | Online | Cluster approximation in quantum Boltzmann machine based on information geometry Masaya Hoshikawa, Tomohiro Ogawa (UEC) IBISML2021-21 |
A Boltzmann Machine (BM) is a model of machine learning which consists of mutually connected probabilistic binary units... [more] |
IBISML2021-21 pp.23-28 |
| SDM | 2021-11-12 16:45 |
Online | Online | Simulation of Phonon Transport in Si Nanowires with Physics Informed Neural Networks Yuma Fujita, Yuhei Suzuki, Yoshinari Kamakura (Osaka Inst. Technol.) SDM2021-66 |
The temperature distribution was calculated for Si with a dogbone structure by solving the phonon-Boltzmann transport eq... [more] | SDM2021-66 pp.72-76 |
| ED, SDM, CPM | 2021-05-27 16:05 |
Online | Online | Spin Updating Method by Sparsifying Exchange Interaction for Ising Spin Computing Asaki Yoshida, Tsukasa Miki, Moe Shimada, Yuri Yoneda, Jun-ichi Shirakashi (Tokyo Univ. of Agr. & Tech.) ED2021-7 CPM2021-7 SDM2021-18 |
(To be available after the conference date) [more] | ED2021-7 CPM2021-7 SDM2021-18 pp.27-30 |
| US | 2020-12-14 15:15 |
Online | Online | Non-contact bolt loosening detection by remotely exciting a piezoelectric element bonded to a bolt Kazuhiko Hasebe, Yuji Wada, Kentaro Nakamura (Tokyo Tech) US2020-53 |
Regular inspection of bolts is important for maintaining structures, and a simple inspection method is required. A non-c... [more] | US2020-53 pp.18-23 |
| WPT, EE (Joint) |
2020-10-07 10:05 |
Online | Online | Preliminary Verification on an Ultrasonic Wireless Power Transfer System for Implantable Devices Sho Yokoi, Tomokazu Mishima (Kobe Univ.) EE2020-11 |
Ultrasonic Wireless Power Transmission System (UWPT) based on the principle of electric-acoustic energy mutual conversio... [more] | EE2020-11 pp.1-4 |
| QIT (2nd) |
2019-11-18 13:50 |
Tokyo | Gakushuin University | [Poster Presentation]
Quantum algorithm for collision steps in lattice Boltzmann method Ryo Omori, Yuji Nakanishi, Masahiro Tanaka, Satoru Takanezawa (Daikin) |
A quantum algorithm which simulates fluid flows based on the lattice Boltzmann method (LBM) is developed. LBM is the met... [more] | |
| EMCJ, MW, EST, IEE-EMC [detail] | 2019-10-24 16:25 |
Miyagi | Tohoku Gakuin University(Conf. Room 2, Eng. Bldg. 1) | [Special Talk]
Conical monopole antennas with non-uniform transmission line type structure terminated in free space impedance Shigeki Minegishi (TGU) EMCJ2019-52 MW2019-81 EST2019-60 |
An antenna may be impedance transformer and mode transformer. Conical monopole antennas with non-uniform transmission li... [more] | EMCJ2019-52 MW2019-81 EST2019-60 p.89 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 11:20 |
Nagasaki | Fukue Culture Center | A random number generation method for hardware implemented neural networks Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2019-1 |
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks su... [more] | SIS2019-1 pp.1-4 |
| US | 2018-04-26 14:00 |
Tokyo | Sound reflection-induced phase change at a vapor-liquid interface Takeru Yano (Osaka Univ.) US2018-3 |
When a sound in a vapor is reflected at an interface between the vapor and its condensed phase, the reflected wave is af... [more] | US2018-3 pp.13-16 |
|
| ICD | 2018-04-19 13:00 |
Tokyo | [Invited Talk]
VLSI implementation of chaotic Boltzmann machine for deep learning hardware Takashi Morie, Masatoshi Yamaguchi, Ichiro Kawashima, Hakaru Tamukoh (Kyushu Inst. of Tech.) ICD2018-4 |
The Boltzmann machine (BM) model has been proposed as an optimization-problem solver as well as a learning machine using... [more] | ICD2018-4 p.13 |
|
| MBE, NC (Joint) |
2018-03-13 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Yuma Saito, Tsubasa Ito (Tokyo Tech), Keisuke Ota, Masanori Murayama (RIKEN), Toru Aonishi (Tokyo Tech) NC2017-68 |
Recent rapid progress of imaging techniques such as two-photon microscopes causes the extreme increase in amount of acqu... [more] | NC2017-68 pp.3-8 |
| WBS, IT, ISEC | 2018-03-08 09:25 |
Tokyo | Katsusika Campas, Tokyo University of Science | Information Geometrical Study of Cluster-Model Approximation for Boltzmann Machines Kenta Toyoda, Tomohiro Ogawa (Univ. of Electro- Commu.) IT2017-104 ISEC2017-92 WBS2017-85 |
In learning algorithms for Boltzmann machines, it is necessary but very hard to calculate the expectation of units with ... [more] | IT2017-104 ISEC2017-92 WBS2017-85 pp.7-12 |
| IBISML | 2018-03-06 13:35 |
Fukuoka | Nishijin Plaza, Kyushu University | Applicability of Fast Decimation Algorithm
-- Sparse two-parameter Boltzmann machine as a benchmark function -- Daisuke Motoki, Shohei Watabe, Tetsuro Nikuni (Tokyo Univ. of Science) IBISML2017-103 |
A decimation algorithm was developed by Decelle et al. for an inverse problem optimization method, which sequentially re... [more] | IBISML2017-103 pp.91-95 |
| US, EA (Joint) |
2018-01-24 14:45 |
Osaka | Non-destructive inspection of chemical anchor bolts by ultrasonic Yuusuke Tanaka, Hidekazu Hoshino, Yukio Ogura (Japan Probe) US2017-109 EA2017-90 |
The soundness of the adhesive system anchor bolt used for fixing signboards and tunnel ceiling plates was evaluated by u... [more] | US2017-109 EA2017-90 pp.145-150(US), pp.41-46(EA) |
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| US | 2017-04-27 13:25 |
Tokyo | Propagation of ultrasound in a rarefied gas Takeru Yano (Osaka Univ.) US2017-5 |
When the wavelength of ultrasound in the gas is small, so that it could be comparable with the mean free path of the gas... [more] | US2017-5 pp.23-26 |
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