Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-17 14:05 |
Miyazaki |
KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
A study on indoor drone positioning using Wi-Fi RTT and machine leaning Yuichiro Sugiyama, Kentaro Kobayashi (Meijo Univ.) |
(To be available after the conference date) [more] |
|
CQ, CS (Joint) |
2024-05-17 14:10 |
Aichi |
(Primary: On-site, Secondary: Online) |
Study on Indoor Radio Tomographic Imaging using LOS Component Estimation and TOA-based Localization Shino Shiraki (Tokyo Metropolitan Univ.), Yoshiaki Nishikawa (Secure System Platform Research Laboratories, NEC Corporation), Takahiro Matsuda (Tokyo Metropolitan Univ.), Eiji Takahashi, Takeo Onishi (Secure System Platform Research Laboratories, NEC Corporation), Toshiki Takeuchi (Advanced Network Research Laboratories, NEC Corporation) |
(To be available after the conference date) [more] |
|
PRMU, IPSJ-CVIM |
2024-05-15 13:30 |
Tokyo |
(Primary: On-site, Secondary: Online) |
|
(To be available after the conference date) [more] |
|
PRMU, IPSJ-CVIM |
2024-05-16 10:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
An acceleration method by image selection for wide-area 3D scene Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT) |
(To be available after the conference date) [more] |
|
PN |
2024-04-30 14:35 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Estimation of Parameters and Faults in Optical Fiber Transmission System Based on Nonlinear Fourier Transform Ken Mishina (Osaka Univ.) |
(To be available after the conference date) [more] |
|
AP |
2024-04-11 13:25 |
Hyogo |
KOBE PORT OASIS (Primary: On-site, Secondary: Online) |
Long-term trends in rainfall extreme data in Japan Yoshio Karasawa AP2024-2 |
We investigate the statistical properties of extreme rainfall data (annual maximum values) in Japan. Since rainfall char... [more] |
AP2024-2 pp.7-12 |
ICM |
2024-03-22 14:20 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Study on identifying fault location technology in multilayer network Fumika Asai, Hirofumi Takagi, Haruhias Nozue, Kenichi Tayama (NTT) ICM2023-59 |
It is important to identify the suspected fault location quickly in order to realize the early restoration in the failur... [more] |
ICM2023-59 pp.71-76 |
ICSS, IPSJ-SPT |
2024-03-22 11:20 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Evaluation of Feature Inference Risk from Explainable AI metrics LIME and Shapley Values Ryotaro Toma, Hiroaki Kikuchi (Meiji Univ.) ICSS2023-88 |
Explainability has gained attention to ensure fairness and transparency in machine learning models, providing users with... [more] |
ICSS2023-88 pp.137-144 |
WIT, IPSJ-AAC |
2024-03-18 10:25 |
Ibaraki |
Tsukuba University of Technology (Primary: On-site, Secondary: Online) |
AR Onomatopoeia Teaching System that Interactively Displays Onomatopoeia by Environmental Sound Recognition Yuito Arisumi, Yutaro Hirao, Monica Perusquia-Hernandez (NAIST), Naoya Isoyama (Otsuma Women's University), Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST) WIT2023-40 |
In recent years, due to the increase in foreign residents and the expansion of social participation among people with he... [more] |
WIT2023-40 pp.7-12 |
AP |
2024-03-14 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
Direction of arrival estimation using neural networks and Uniform Cross Array for LoS-MIMO transmission Motoshi Tawada, Yoshichika Ohta (SoftBank) AP2023-202 |
The feeder link between the fixed ground station and the HAPS requires high capacity to accommodate the traffic of termi... [more] |
AP2023-202 pp.7-10 |
CAS, CS |
2024-03-14 13:55 |
Okinawa |
|
Study on Comparison of Effective CSI Feature Extraction and Deep Learning-Based Indoor Positioning Methods Seiha Homma, Hayato Matsushita, Yuta Ida (Yamaguchi Univ.), Yasuaki Ohira (Kagoshima Univ.), Sho kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.) CAS2023-119 CS2023-112 |
In recent years, the indoor positioning solution markets has been expanding, and there is a growing demand for indoor po... [more] |
CAS2023-119 CS2023-112 pp.47-52 |
CAS, CS |
2024-03-14 14:25 |
Okinawa |
|
[Special Invited Talk]
Indoor positioning system using RSSI and machine learning Tsugumichi Shibata (TCU) CAS2023-120 CS2023-113 |
Tokyo City University changed its name from the former Musashi Institute of Technology in 2009, and has been promoting f... [more] |
CAS2023-120 CS2023-113 pp.53-57 |
AP |
2024-03-15 13:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
Measurement accuracy of K factor in the sky cell for 3D spatial cell construction Teruya Fujii (Titech), Susumu Yoneda (SB) AP2023-216 |
The flight control of drones and the transfer of captured video data by using the mobile communication network will be e... [more] |
AP2023-216 pp.85-90 |
PN |
2024-03-14 14:50 |
Kagoshima |
(Primary: On-site, Secondary: Online) |
[Invited Lecture]
Cut-set Analysis based Capacity estimation for Elastic Optical Path Networks with Distance-Adaptive Modulation Kenji Cruzado, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2023-74 |
Reinforcement learning (RL) has been attracting much more attention as a promising approach to realize RSA/RWA. However,... [more] |
PN2023-74 pp.27-31 |
SIS |
2024-03-15 10:40 |
Kanagawa |
Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
A study of low-level Gaussian noise estimating by using machine learning Takashi Suzuki (MicroTechnica), Tomoaki Kimura (Kanagawa institute of technology) SIS2023-57 |
In this study, we investigate a noise estimation method for low-level Gaussian noise with a standard deviation of less t... [more] |
SIS2023-57 pp.67-72 |
LOIS |
2024-03-14 12:05 |
Okinawa |
Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
3D Structure Estimation of a Room Using only a Monocular Camera to Enhance Reality of Remote Coworking Junya Morioka, Kento Masaki, Ryusuke Miyamoto (Meiji Univ.) LOIS2023-63 |
In recent years, the use of web conference tools has increased with the spread of remote work. However, compared to face... [more] |
LOIS2023-63 pp.90-95 |
RCS, SR, SRW (Joint) |
2024-03-13 11:20 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
Automatic drone control technology for wireless network management Sora Kojima (Tokyo Denki Univ.), Kentaro Saito (Tottori Univ.) SRW2023-49 |
The use of drones is being considered for the maintenance and management of wireless network equipment such
as mobile ... [more] |
SRW2023-49 pp.25-29 |
RCC, ISEC, IT, WBS |
2024-03-14 17:00 |
Osaka |
Osaka Univ. (Suita Campus) |
Comparison of Scale Parameter Dependence of Estimation Performance in Sparse Bayesian Linear Regression Model with Variance Gamma Prior Distribution and t-Prior Distribution Kazuaki Murayama (UEC) IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 |
In the sparse estimation with linear regression model, the variance gamma distribution and t-distribution can be used as... [more] |
IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 pp.374-379 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 11:10 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Emotion Estimation for Advertising Images in Virtual Space by DNN Using Bio-signals and Physical Features of Images Naho Inoue, Maki Kubo, Wataru Kameyama (Waseda Univ.), Masafumi Hashimoto, Yuki Yamauchi, Kunitomo Sasaki, Natsuko Minegishi (Konica Minolta, Inc.) CQ2023-70 |
Since the proportion of time spent and consumption in metaverse is expected to explode in the near future, we have been ... [more] |
CQ2023-70 pp.1-6 |
RCS, SR, SRW (Joint) |
2024-03-13 15:40 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
A study on Indoor Self-Localization Method with a Drone using BLE Takanori Iwamatsu, Tomohisa Kosugi, Kazuhiro Suzuki (Life Labo), Kaito Hirota, Kei Tanaka, Hitoshi Shimasaki, Saeko Oshiba (KIT) RCS2023-265 |
When using a drone indoors, it is difficult to estimate its own position because GNSS radio waves cannot reach it. In ma... [more] |
RCS2023-265 pp.65-70 |