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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2024-06-21 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[more] | ||
| ET, IPSJ-CLE | 2024-06-15 09:55 |
Osaka | Kindai University, Higashi-Osaka Campus (Primary: On-site, Secondary: Online) |
Method for Identifying Logic Errors by Clustering Source Codes with a Focus on Program Structure Yuta Harada, Soichiro Sato (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.) |
(To be available after the conference date) [more] | |
| AP | 2024-06-13 13:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Generation of Virtual City 3D Model and Analysis of Pathloss Distribution Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hayashi (KDDI Research) |
(To be available after the conference date) [more] | |
| SC | 2024-06-08 15:25 |
Fukushima | Univ. of Aizu (Primary: On-site, Secondary: Online) |
A Study of VA Energy-Saving Behavior Promotion Services Based on Personal Power Consumption Data Shun Hirai, Takuya Nakata (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Sinan Chen, Masahide Nakamura (Kobe Univ.) |
(To be available after the conference date) [more] | |
| SRW, MWPTHz | 2024-06-07 13:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Study on Adaptive Transmit Power Control for SC-FDE MIMO in Dynamic Radio Propagation Environments Lisa Suzuki, Shuhei Saito, Fumiaki Maehara (Waseda Univ.) |
(To be available after the conference date) [more] | |
| NLP, CCS | 2024-06-06 09:30 |
Fukuoka | West Japan General Exhibition Center AIM | Tug-of-war algorithm for collective decision making with a laser network Shun Kotoku, Takatomo Mihana, Andre Roehm, Ryoichi Horisaki (UTokyo) |
(To be available after the conference date) [more] | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-07 13:15 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | Color information restoration from printed and scanned grayscale images with deep learning Takehiro Muroya, Hiroshi Higashi, Yuichi Tanaka (OU) |
(To be available after the conference date) [more] | |
| NS, PN, OCS (Joint) |
2024-06-07 09:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Implementation of NVMe over TCP using SPDK and Its Performance Measurement Tatsuki Oyama, Kohei Shiomoto (TCU) |
(To be available after the conference date) [more] | |
| IT, EMM | 2024-05-31 09:55 |
Chiba | Chiba University (Nishi-Chiba Campus) | An Interactive Active Learning Material Based on the Data Hiding Techniques on Printed Matters Run Kawada (teamLab), Tetsuya Kojima, Shinya Suzuki (NIT, Tokyo College)  IT2024-9 EMM2024-9 |
(To be available after the conference date) [more] | IT2024-9 EMM2024-9 pp.43-48 |
| EA | 2024-05-22 13:50 |
Online | Online | Determined BSS based on the proximal average of IVA and DNNs Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2024-3 |
Determined BSS separates source signals by applying the separation matrices, which are estimated under some assumption o... [more] | EA2024-3 pp.14-19 |
| SR | 2024-05-20 15:55 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
Development of an indoor location estimation method using Wi-Fi (1)
-- Optimization of access point selection methods and data set volume -- Yudai Sunagozaka, Takashi Ohkawaara, Rei Hirata, Atsushi Koizumi, Hiroshi Oguma (NIT Toyama) SR2024-7 |
We develop an indoor location estimation model using Azure Machine Learning (Azure ML) with the goal of establishing an ... [more] | SR2024-7 pp.29-33 |
| SR | 2024-05-20 16:20 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
Development of an indoor location estimation method using Wi-Fi(2)
-- Comparison of Application Implementation on Smartphones -- Takashi Ohkawahara, Yudai Sunagozaka, Rei Hirata, Atsuhi Koizumu, Hiroshi Oguma (NIT Toyama) SR2024-8 |
We develop a machine learning model using Azure Machine Learning (Azure ML) to establish an indoor location estimation m... [more] | SR2024-8 pp.34-39 |
| SR | 2024-05-21 12:50 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Invited Talk]
A Study on Utilization of Machine Learning in Effective Use of Frequency Resources Teruji Ide (N I T, Kagoshima College) SR2024-17 |
Nowadays the Fifth-Generation Mobile communications system (5G) and the other mobile communications systems have spread ... [more] | SR2024-17 p.70 |
| EST | 2024-05-17 13:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Fundamental Study on Three-Dimensional Analysis with Neural Network Method Based on Electromagnetic Potential Formulation Kazuhiro Fujita (Saitama IT) EST2024-6 |
A fundamental study on three-dimensional analysis with a neural network method based on the electromagnetic potential fo... [more] | EST2024-6 pp.30-33 |
| SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-17 09:35 |
Miyazaki | KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
Experimental performance evaluation of image sensor-based visible light communication method using object detection DNN for monochromatic images Yuya Miki, Kentaro Kobayashi (Meijo Univ.) WBS2024-9 RCC2024-9 |
There is a visible light communication technology that modulates and superimposes data signals on the signage image so t... [more] | WBS2024-9 RCC2024-9 pp.42-47 |
| 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 learning Yuichiro Sugiyama, Kentaro Kobayashi (Meijo Univ.) WBS2024-13 RCC2024-13 |
When drones fly autonomously outdoors, they use GPS to implement safety functions and navigation. However, GPS is unstab... [more] | WBS2024-13 RCC2024-13 pp.60-65 |
| CQ, CS (Joint) |
2024-05-16 16:20 |
Aichi | (Primary: On-site, Secondary: Online) |
[Special Invited Talk]
Understanding and Mathematical Modeling of Human Behavior Takeshi Kurashima (NTT) CS2024-2 CQ2024-9 |
The research field of "Behavioral Data Science," which deals with digitized human behavioral data using computational a... [more] | CS2024-2 CQ2024-9 p.3(CS), p.32(CQ) |
| CQ, CS (Joint) |
2024-05-16 17:00 |
Aichi | (Primary: On-site, Secondary: Online) |
[Special Invited Talk]
Reconstruction of Campus Network Based on Quality of Experience (QoE) Kyoko Yamori (Asahi Univ.) CS2024-3 CQ2024-10 |
The onset of the COVID-19 pandemic necessitated substantial modifications to pedagogical strategies within university se... [more] | CS2024-3 CQ2024-10 p.4(CS), p.33(CQ) |
| CQ, CS (Joint) |
2024-05-17 14:35 |
Aichi | (Primary: On-site, Secondary: Online) |
A study on a method for estimating the optimal pear pollen collection time Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada (SATRC), Akane Shibasaki (SAFPC), Chisa Suzuki (SATRC), Ryota Fujinuma (DKK), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT) CQ2024-14 |
Pear pollination is generally done by artificial pollination, and pollen collection is necessary for artificial pollinat... [more] | CQ2024-14 pp.42-48 |
| ISEC | 2024-05-15 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Detection of Adversarial Example Attacks in Deep Learning Focusing on Data Manifolds and Inner Product Signs in Classifiers Hiroki Hisashige, Hajime Tasaki, Mao Fujita, Jinhui Chao (Chuo Univ.) ISEC2024-2 |
Adversarial example attacks against Deep Learning are known to lead misclassification by adding invisible perturbations ... [more] | ISEC2024-2 pp.7-12 |
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