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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AP | 2024-02-16 15:25 |
Mie | Sinfonia Technology Hibiki Hall Ise (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Beam Switching Algorithm Combining Terahertz Band Antennas and IMU Using Particle Filter Michihiro Harada, Tatsuya Nagao, Satoshi Ito, Takahiro Hayashi (KDDI Research)  AP2023-198 |
(To be available after the conference date) [more] | AP2023-198 pp.56-61 |
| AP, WPT (Joint) |
2024-01-17 13:25 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Study on 300GHz Band Propagation Loss Estimation Method for the BAN Assuming walking Kazuki Takezawa, Stoshi Ito, Takahiro Hayashi (KRI) AP2023-161 |
[more] | AP2023-161 pp.7-12 |
| AP, RCS (Joint) |
2023-11-15 15:35 |
Kumamoto | Kumamoto Prefectural Workers' Welfare Hall (Primary: On-site, Secondary: Online) |
Propagation Loss Estimation Method for IRS using RCS Based on the First Fresnel Zone Hiroki Aoki, Satoshi Ito, Takuya Ohto, Takahiro Hayashi (KDDI Research) AP2023-138 |
IRS (Intelligent Reflecting Surface) is a promising technology to overcome a coverage hole problem in millimeter wave ... [more] |
AP2023-138 pp.47-52 |
| AP, SANE, SAT (Joint) |
2023-07-12 18:00 |
Hokkaido | The Citizen Activity Center (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Simplified Multiple Screen Diffraction Calculation Method Using Direct Wave Components in Physical Optics Satoshi Ito, Takahiro Hayashi (KDDI Research, Inc.) AP2023-39 |
This paper proposes a method to reduce the computational cost in the numerical calculation of multiple screen diffractio... [more] | AP2023-39 pp.44-48 |
| SR | 2023-05-11 14:25 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
A study of state detection in case of communication quality fluctuation assuming frequency sharing Toshi Ito, Riku Yamabe, Osamu Takyu (Shinshu Univ.) SR2023-8 |
[more] | SR2023-8 pp.46-49 |
| NS | 2023-05-12 11:15 |
Tokyo | Shinjuku Campus, Kogakuin University + Online (Primary: On-site, Secondary: Online) |
A Study on the Performance of KVS Supported by Application Switch with Lexical Analyzer Satoshi Ito (Kogakuin Univ.), Akihiro Nakao (Univ. of Tokyo), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2023-18 |
[more] | NS2023-18 pp.43-48 |
| RCC, ISEC, IT, WBS | 2023-03-15 11:00 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Virtualized terminal utilizing the terahertz band for high-capacity communications toward Beyond 5G/6G Takahiro Hayashi, Yoshio Kunisawa, Tatsuya Nagao, Kazuki Takezawa, Satoshi Ito, Hiromi Matsuno, Yoji Kishi (KDDI Research, Inc) IT2022-110 ISEC2022-89 WBS2022-107 RCC2022-107 |
In the 2030s, when Beyond 5G/6G is expected to be realized, a cyber-physical system (CPS) that integrates physical and c... [more] | IT2022-110 ISEC2022-89 WBS2022-107 RCC2022-107 pp.263-268 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 13:50 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Parsing variable-length queries in Application Switch and KVS caching based on them Satoshi Ito (Kogakuin Univ), Akihiro Nakao (University of Tokyo), Masato Oguchi (Ochanomizu University), Saneyasu yamaguchi (Kogakuin Univ) NS2022-107 |
[more] | NS2022-107 pp.41-46 |
| SR | 2022-11-07 10:45 |
Fukuoka | Fukuoka University (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of Interference Detection Methods when Multiple Types of Radio Waves are Mixed Riku Yamabe, Toshi Ito, Osamu Takyu (Shinshu Univ.) SR2022-48 |
In 5G and beyond 5G, each radio must have high interference tolerance capability. To improve interference tolerance,the ... [more] | SR2022-48 pp.20-23 |
| SR | 2022-11-08 10:20 |
Fukuoka | Fukuoka University (Primary: On-site, Secondary: Online) |
Improvement of Collection Accuracy by Switching Carrier Frequency Offset in PhyC-SN Toshi Ito, Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ), Takeo Fujii, Koichi Adachi (UEC) SR2022-59 |
A feature utilizing frequency offsets is used as a collision detection method in the wireless physical quantity conversi... [more] | SR2022-59 pp.78-83 |
| RISING (3rd) |
2022-10-31 10:30 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Highly Detectable Collision Detection in PhyC-SN by Receiving Antenna Selection Toshi Ito, Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ), Takeo Fujii, Koichi Adachi (UEC) |
The feature of phase dispersion is used as a collision detection method in the wireless physical quantity conversion-sum... [more] | |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-13 15:30 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Performance Study on Application Switch including Simple Syntax Analyses Satoshi Ito (Kogakuin Univ), Akihiro Nakao (University of Tokyo), Masato Oguchi (Ochanomizu University), Saneyasu yamaguchi (Kogakuin Univ) NS2022-34 |
(To be available after the conference date) [more] | NS2022-34 pp.41-46 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 14:55 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
High-Sensitivity Detection Method for Signals in PhyC-SN Toshi Ito, Osamu Takyu (Shinshu Univ.), Mai Ohta (Fkuoka Univ.), Takeo Fujii, Koichi Adachi (UEC) SR2022-43 |
[more] | SR2022-43 pp.104-109 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:15 |
Online | Online | Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images Shinya Abe, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
In recent years, there has been several researches on reconstruction methods using deep learning, which can significantl... [more] | |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-02 09:45 |
Online | Online | Routing of Delivery Drones with Load- and Wind-Dependent Flight Speed Satoshi Ito, Keishi Akaiwa, Yusuke Funabashi, Hiroki Nishikawa, Xiangbo Kong (Ritsumeikan Univ.), Ittetsu Taniguchi (Osaka Univ.), Hiroyuki Tomiyama (Ritsumeikan Univ.) VLD2021-33 ICD2021-43 DC2021-39 RECONF2021-41 |
Drone-based package delivery is expected to be a promising way to solve the last mile problem. The flight speed of drone... [more] | VLD2021-33 ICD2021-43 DC2021-39 RECONF2021-41 pp.93-98 |
| SP, WIT, IPSJ-SLP, ASJ-H [detail] | 2021-10-19 09:35 |
Online | Online | Examination of appropriate subtitle display timing for simultaneous online distribution videos. Tomoyasu Komori, Hitoshi Ito, Sou Tanaka, Hiroaki Sato (NHK), Takeshi Mishima (NES), Yoshihiko Kawai, Shoei Sato (NHK) SP2021-25 WIT2021-18 |
NHK Plus's live subtitle synchronization service, which started in August 2020, adjusts the subtitle display timing for ... [more] | SP2021-25 WIT2021-18 pp.6-11 |
| MI | 2021-07-08 13:00 |
Online | Online | Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images Takumi Aihara (Gifu Univ.), Masaki Matsusako (St.Luke's International Hospital), Takeshi Hara (Gifu Univ.), Taiki Nozaki (St.Luke's International Hospital), Tetsuro Katafuchi (Gifu University of Medical Science), Satoshi Ito, Masaya Kato (Daiyukai General Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-9 |
In this study, we performed automatic detection of tumors from PET / CT images using Z-score images. The Z-score image i... [more] | MI2021-9 pp.1-6 |
| MI | 2021-05-17 14:40 |
Online | Online | MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging Kazuki Yamato, Hiromichi Wakatsuki, Satoshi Ito (Utsunomiya Univ.) MI2021-6 |
In the phase-scrambling Fourier transform (PSFT) imaging, the signals not sampled during imaging can be extrapolated and... [more] | MI2021-6 pp.14-19 |
| MI | 2021-03-15 14:30 |
Online | Online | Comparison of Deep Learning Reconstruction for MR Compressed Sensing Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-56 |
The theory of compressed sensing (CS) has been introduced to MRI to reduce the scan time. However, CS reconstruction int... [more] | MI2020-56 pp.41-45 |
| MI | 2021-03-15 14:45 |
Online | Online | Real valued CNN based MR image reconstruction Robust to spatial phase variation Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-57 |
MR images have spatial phase distribution due to the inhomogeneities of static magnetic field strength and the differenc... [more] | MI2020-57 pp.46-50 |
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