Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ |
2024-06-26 15:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study on Performance Improvement of Time Division Scheduling for Wireless Power Transfer Yuna Sawada, Shino Shiraki, Chika Yajima, Takahiro Matsuda (TMU), Takefumi Hiraguri (NIT), Kazuki Maruta (TUS), Tomotaka Kimura (DU) CQ2024-18 |
We proposed a time division (TD) scheduling method using receiver grouping to improve efficiency of energy harvesting. I... [more] |
CQ2024-18 pp.12-17 |
CQ |
2024-06-27 09:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Energy Efficient of Swarm Intelligence based Drone Path Control for Smart Agriculture Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) CQ2024-21 |
Recently, bumblebees have been introduced to pollinate crops in facilities such as greenhouses. However, bumble- bees ar... [more] |
CQ2024-21 pp.25-26 |
CQ |
2024-06-27 09:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Banana Ripeness Estimation by Image Recognition Runo Kaiga, Hotaka Hoshino, Takuya Shindo, Nobuhiko Itoh (NIT) CQ2024-22 |
The U.S. Department of Agriculture (USDA) classifies bananas into seven stages, from green ripe fruit to optimal fresh e... [more] |
CQ2024-22 pp.27-28 |
CQ |
2024-06-27 09:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Flight Path Determination Method for Pear Pollination System Using Drones Sota Okubo (Doshisha Univ.), Keita Endou (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Simizu, Takefumi Hiraguri (NIT), Yoshihiro Takemura (Tottori Univ.) CQ2024-24 |
In this paper, we consider a pollination system using two types of small drones: a search drone
and a spray drone.The... [more] |
CQ2024-24 pp.34-35 |
CQ |
2024-06-27 09:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Study on estimation method of tomato harvest time and development of AI camera using image analysis technology Yasuhiro Okabe, Keita Endo, Takefumi Hiraguri (NIT), Daisuke Hayashi, Shinichi Murata (Koden) CQ2024-27 |
Smart agriculture includes remote confirmation using webcams, use as the eyes of fruit-harvesting robots that automatica... [more] |
CQ2024-27 p.42 |
CQ |
2024-06-27 09:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Proposal of a handover method for drone flight in the case of multiple simultaneous connections Koyo Aoyama, Takefumi Hiraguri, Kakeru Hirata (NIT), Takahiro Matsuda (TMU), Tomotaka Kimura (Doshisha Univ.) CQ2024-28 |
A handover method with ground base stations using drones as mobile radio stations enables flexible network construction.... [more] |
CQ2024-28 p.43 |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-20 15:00 |
Okinawa |
OIST |
Selective Inference for Reliability Quantification of k-Nearest Neighbor Anomoaly Detection Mizuki Niihori, Akihumi Yamada (Nagoya Univ.), Masaya Ikuta (NITech), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) NC2024-8 IBISML2024-8 |
Currently, the $k$-nearest neighbor method is widely used in the field of machine learning anomaly detection.
This met... [more] |
NC2024-8 IBISML2024-8 pp.51-59 |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-20 15:25 |
Okinawa |
OIST |
Selective Inference for Anomaly Detection using Diffusion Models Teruyuki Katsuoka, Tomohiro Shiraishi (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2024-9 IBISML2024-9 |
In recent years, there has been active research on anomaly detection using diffusion models, which are generative models... [more] |
NC2024-9 IBISML2024-9 pp.60-66 |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-20 15:50 |
Okinawa |
OIST |
Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.) NC2024-10 IBISML2024-10 |
In machine learning, handling large datasets has been problematic in computational resources. For this issue, safe sampl... [more] |
NC2024-10 IBISML2024-10 pp.67-72 |
RCS |
2024-06-19 10:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study on Machine Learning-based Hazardous Material Detection in 300GHz Sub-THz Imaging Using Optical Image Training Data Shoma Shibata, Eiji Okamoto (nitech) RCS2024-28 |
Sub-THz waves are expected to be introduced in Beyond 5G/6G, which is currently under research and development. Sub-THz ... [more] |
RCS2024-28 pp.1-6 |
RCS |
2024-06-19 10:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study on Image Quality Enhancement Using Two-Step Adaptive Gamma Correction Method in 300 GHz Sub-THz Imaging Tsubasa Kato, Eiji Okamoto (Nitech) RCS2024-29 |
The 300 GHz wave in the sub-THz band has a wavelength of approximately 1 mm, enabling imaging with a high resolution of ... [more] |
RCS2024-29 pp.7-12 |
RCS |
2024-06-20 14:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study on Physical-Layer Encrypted Relay Transmission Method Using Group Key for Distributed Terminal Cooperative Communication Keita Ito, Eiji Okamoto (NITech) RCS2024-62 |
Multiple-input multiple-output (MIMO) techniques are commonly used to improve frequency efficiency and channel capacity.... [more] |
RCS2024-62 pp.203-208 |
IA, ICSS |
2024-06-17 16:00 |
Okayama |
Okayama University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Basic SecCap: Practical Security Education Based on Inter-University Collaboration Tokumi Yokohira (Okayama Univ.), Hideaki Sone (Tohoku Univ.), Hideki Sunahara (Keio Univ.), Satoru Izumi (Tohoku Unvi./NIT, Sendai College), Miyuki Hirose (Kyutech/TDU), Daiya Kato (Keio Univ.) IA2024-6 ICSS2024-6 |
In order to provide practical education on IT technologies, the Ministry of Education, Culture, Sports, Science and Tech... [more] |
IA2024-6 ICSS2024-6 p.35 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2024-06-15 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Improving CTC-based ASR model by weighting encoder layers using attention mechanisms Keigo Hojo, Yukoh Wakabayashi (TUT), Kengo Ohta (NITAC), Atsunori Ogawa (NTT), Norihide Kitaoka (TUT) SP2024-9 |
[more] |
SP2024-9 pp.43-48 |
ITS |
2024-06-14 15:45 |
Aichi |
(Primary: On-site, Secondary: Online) |
Bus Information Provision System to Ensure Mobility for the Elderly Suo Tanaka, Tamaki Yosida, Kim Jeyeon (NITTC), Manabe Tetsuya (SU), Naohisa Hashimoto (AIST) ITS2024-7 |
[more] |
ITS2024-7 pp.33-37 |
AP |
2024-06-13 14:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A Consideration on Reducing the Influence of Array Errors in DOA Estimation Using Compressed Sensing Nobuyoshi Kikuma, Kokoa Nakano, Kunio Sakakibara, Yoshiki Sugimoto (NITech) AP2024-20 |
In wireless communications with higher frequencies, it is essential to accurately grasp the directions of target devices... [more] |
AP2024-20 pp.18-23 |
MIKA (3rd) |
2024-06-11 13:40 |
Niigata |
Niigata University Station South Campus Tokimeito Conference Room A |
Application of Stability Analysis Method Based on Monodromy Matrix to DC-DC Converter with Energy Harvesting Devices Shota Uchino (NIT) |
[more] |
|
SANE |
2024-06-05 11:00 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
[Special Talk]
Initiatives for Physiological Modeling with Millimeter-Wave Radar Yuji Tanaka (NITech), Takuya Sakamoto (Kyoto Univ.) SANE2024-6 |
[more] |
SANE2024-6 p.31 |
IT, EMM |
2024-05-30 12:50 |
Chiba |
Chiba University (Nishi-Chiba Campus) |
A Study of Proximal Decoding enhanced by Deep Unfolding Asahi Ito, Lantian Wei, Tadashi Wadayama (NIT) IT2024-1 EMM2024-1 |
In this paper, we investigate the application of DU (Deep Unfolding) to the proximal decoding method for detecting and d... [more] |
IT2024-1 EMM2024-1 pp.1-6 |
IT, EMM |
2024-05-30 13:15 |
Chiba |
Chiba University (Nishi-Chiba Campus) |
A Study of Optical MIMO Signal Detection Circuit based on Projected Gradient Method Using Deep Unfolding Tomoya Kuno, Tadashi Wadayama (NIT) IT2024-2 EMM2024-2 |
In this paper, we study an optical MIMO (Multiple-Input Multiple-Output) signal detection circuit based on the projected... [more] |
IT2024-2 EMM2024-2 pp.7-12 |