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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, IA (Joint) |
2023-12-22 16:05 |
Hiroshima | Satellite Campus Hiroshima | Adaptive Transmission Control Method based on Completeness of Received Data for Large Spatio-Temporal Data Retention Renju AKashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT)  IA2023-56 |
With the development and spread of IoT technology, the number of devices connected to the Internet is increasing. Among ... [more] | IA2023-56 pp.67-72 |
| RISING (3rd) |
2023-10-31 09:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Performance Evaluation of Complementary Data Diffusion Method for Large Spatio-Temporal Data Retention Renju Akashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) |
The fusion of computer science and networks, such as the Internet of Things and airtificial intelligence technologies, i... [more] | |
| NS | 2023-04-13 15:20 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Intelligent Vehicular IoT Systems with Collaborative Edge Computing and Federated Learning Celimuge Wu (UEC) NS2023-6 |
This work discusses two approaches to enable intelligent vehicular Internet-of-Things (IoT) systems, namely, collaborati... [more] | NS2023-6 p.31 |
| IA | 2022-11-21 13:30 |
Niigata | Bandai Civic Hall (Niigata) (Primary: On-site, Secondary: Online) |
Complementary Data Transmission Control Method for Large Spatio-Temporal Data Retention Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) IA2022-38 |
Some IoT applications offer services that provide IoT data depending on locations and times, such as weather and traffic... [more] | IA2022-38 pp.8-13 |
| RISING (3rd) |
2022-10-31 15:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Performance Evaluation of Completion Transmission Control with Collision Avoidance for Large Spatio-temporal Data Retention Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) |
Spatio-temporal aware IoT applications need to deliver the spatio-temporal data (STD), which depends on geographic locat... [more] | |
| NS | 2022-10-05 11:35 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Diffusion Performance Evaluation of Complementary Data Transmission Control Method for Large Spatio-Temporal Data Retention Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2022-78 |
Spatio-temporal data is a type of IoT data that depends on the generated geographical location and time, such as weather... [more] | NS2022-78 p.3 |
| IN, RCS, NV (Joint) |
2022-05-27 11:20 |
Kanagawa | Keio University (Hiyoshi Campus) (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Empowering Federated Learning in Vehicular IoT Celimuge Wu (UEC) IN2022-9 RCS2022-22 |
Federated learning is a promising paradigm for achieving distributed intelligence by protecting user privacy in vehicula... [more] | IN2022-9 RCS2022-22 pp.43-48(IN), pp.45-50(RCS) |
| NS, IN (Joint) |
2022-03-11 11:20 |
Online | Online | Experimental Evaluation of Data Relay Scheme for Inter-Vehicle Information Sharing using Private LoRa Naoki Eguchi, Daiki Nobayashi, Kazuya Tsukamoto (KIT), Yutaka Arakawa (QU), Takeshi Ikenaga (KIT) NS2021-152 |
Population concentration in urban areas and the increase in the use of automobiles are causes of traffic congestion jams... [more] | NS2021-152 pp.176-180 |
| ICM | 2022-03-04 10:30 |
Online | Online | [Invited Talk]
Fuzzy Logic-based Client Selection for Federated Learning in Vehicular IoT Celimuge Wu (UEC) ICM2021-50 |
In order to support advanced vehicular Internet-of-Things applications, information exchanges among different vehicles a... [more] | ICM2021-50 p.47 |
| RISING (3rd) |
2021-11-17 09:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Analysis of Urban Traffic based on Data Collection System of Moving Vehicles Yasufumi Niwa, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) |
As one application example of IoT (Internet of Things) technology, MaaS (Mobility as a Service) is expected to solve tra... [more] | |
| SITE, IA, IPSJ-IOT [detail] | 2021-03-01 13:30 |
Online | Online | Experimental Evaluation of Data Collection using 920 MHz LoRa for Multiple Running Vehicles in Urban Area Yasufumi Niwa, Kazuma Nakahara, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) SITE2020-42 IA2020-38 |
Vehicles have become important in the daily life of citizens. Mobility as a Service (MaaS) is a promising concept to co... [more] |
SITE2020-42 IA2020-38 pp.23-28 |
| CQ (2nd) |
2021-01-21 10:35 |
Online | Online | [Invited Lecture]
Vehicular IoT with Collaborative Intelligence Celimuge Wu (UEC) |
Future Vehicular Internet-of-Things (IoT) systems feature a large number of devices and multi-access environments where ... [more] | |
| NS, RCS (Joint) |
2020-12-17 13:40 |
Online | Online | [Invited Lecture]
Information Distribution Platform for Realizing Local Production and Consumption of Spatio-Temporal Data Daiki Nobayashi, Ichiro Goto, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2020-91 RCS2020-138 |
With the spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, a... [more] | NS2020-91 RCS2020-138 pp.23-28(NS), pp.25-30(RCS) |
| NS | 2020-05-15 14:10 |
Online | Online | Transmission Control Method Based on Transmission Position and Received Signal Level for Spatio-Temporal Data Retention Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2020-20 |
With the development and spread of IoT technology, the number of devices connected to the Internet is increasing year by... [more] | NS2020-20 pp.77-82 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Prioritized Transmission of Mobile IoT Data Using Machine Learning Models Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.) |
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more] | |
| ICM | 2019-07-12 10:50 |
Hokkaido | [Invited Talk]
Empowering Vehicular Networks with Computational Intelligence Celimuge Wu, Tsutomu Yoshinaga (UEC), Yusheng Ji (NII), Tutomu Murase (Nagoya Univ.) ICM2019-19 |
With the emergence of various vehicular Internet of Things (IoT) applications, such as driving behavior analysis, real t... [more] | ICM2019-19 pp.77-82 |
|
| SR | 2018-05-24 16:40 |
Tokyo | Tokyo big sight | [Invited Talk]
Computational Intelligence for Vehicular Internet of Things Celimuge Wu, Tsutomu Yoshinaga (UEC), Yusheng Ji (NII) SR2018-10 |
With the emergence of various vehicular Internet of Things (IoT) applications, such as camera sensor data exchange, driv... [more] | SR2018-10 pp.57-62 |
| ICM, CQ, NS, NV (Joint) |
2017-11-16 09:30 |
Kagawa | Efficient Content Delivery in Vehicular Networks with Sub-6 GHz and mmWave Celimuge Wu, Tsutomu Yoshinaga (UEC), Tutomu Murase (Nagoya Univ.), Yusheng Ji (NII) CQ2017-74 |
With the rapid increase of vehicular Internet of Things (IoT) applications, it is urgent to design an approach which is ... [more] | CQ2017-74 pp.23-28 |
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