Journals
Takahiko Haraguchi, Hiroshi Katada, Taku Yamazaki, Takumi Miyoshi, Ryo Yamamoto, and Kiyoshi Ueda,
“A distributed UAV management system inspired by packet-switched networks,”
IEICE Communications Express, vol. 13, no. 9, pp. 389–392, September 2024.
DOI:10.23919/comex.2024XBL0101
Yuta Miyakawa, Sumiko Miyata, Taku Yamazaki, and Eiji Kamioka,
“Analyzing Non-selection Rates in User Selection Mechanisms for Sustainable Participatory Sensing Systems,”
Nonlinear Theory and Its Applications, IEICE, vol. 16, no. 1, pp. 157–167, January 2025.
DOI:10.1587/nolta.16.157
Shuto Ohkawa, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, Ryo Yamamoto, and Nobuo Funabiki,
“Relay Node Selection Methods for UAV Navigation Route Constructions in Wireless Multi-Hop Network Using Smart Meter Devices,”
Information, vol. 16, no. 1, pp. 1–25, January 2025.
DOI:10.3390/info16010022
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, and Kaoru Sezaki,
“Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks,”
IEICE Transactions on Communications, vol. E108-B, no. 3, pp. 260–273, March 2025.
DOI:10.23919/transcom.2024EBP3056
Naoto Watanabe, Taku Yamazaki, Takumi Miyoshi, Ryo Yamamoto, Masataka Nakahara, Norihiro Okui, and Ayumu Kubota,
“Self-adaptive Traffic Anomaly Detection System for IoT Smart Home Environments,”
IEICE Transactions on Communications, vol. E108-B, no. 3, pp. 230–242, March 2025.
DOI:10.23919/transcom.2024EBT0002
International Conferences
Mizuki Asano, Takumi Miyoshi, and Taku Yamazaki,
“Comparing Two-stage Clustering Methods for Traffic Pattern Analysis in IoT Device Identification,”
The 9th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2024) in conjunction with 2024 IEEE/IFIP Network Operations and Management Symposium (NOMS 2024), pp. 1–6, Seoul, South Korea, May 2024.
DOI:10.1109/NOMS59830.2024.10575820
Hiroto Iwata, Hiromichi Yajima, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“Hierarchical Federated Learning Using Client Clustering under Non-IID Data,”
2024 IEEE International Conference on Consumer Electronics – Taiwan (IEEE ICCE-TW 2024), pp. 43–44, Taichung, Taiwan, July 2024.
DOI:10.1109/ICCE-Taiwan62264.2024.10673888
Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-based Multiple UAV Routing Method Avoiding Collision Due to Link Crossing,”
2024 IEEE International Conference on Consumer Electronics – Taiwan (IEEE ICCE-TW 2024), pp. 759–760, Taichung, Taiwan, July 2024.
DOI:10.1109/ICCE-Taiwan62264.2024.10674218
Jin Watanabe, Sumiko Miyata, Kenji Kanai, Noriaki Kamiyama, Taku Yamazaki, and Eiji Kamioka,
“Reward Distribution Using Coalitional Game Considering Overlapping of Point Cloud Data,”
The 16th International Workshop on Information Network Design (WIND 2024) in conjunction with the 16th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2024), pp. 444–453, Asan, South Korea, September 2024.
DOI:10.1007/978-3-031-72322-3_44
Taku Yamazaki, Tomoki Yamaguchi, Daisuke Sasaki, Junya Sato, Takumi Miyoshi, Sumiko Miyata, and Hironobu Imamura,
“60GHz Millimeter Wave Communication Experiment for Unmanned Aerial Vehicles in Low Altitude Airspace,”
The 16th International Workshop on Information Network Design (WIND 2024) in conjunction with the 16th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2024), pp. 473–483, Asan, South Korea, September 2024.
DOI:10.1007/s43762-021-00005-y
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Preliminary Experiment on Point Cloud Collection Through 3D Mobile Crowdsensing,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–4, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10929889
(Best Session Presentation Award, Awardee: Kaito Watanabe)
Kenta Hasegawa, Tatsuya Kase, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Preliminary Study on Dynamic Updates of Spatial Digital Twins via 3D Mobile Crowdsensing,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–4, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10929915
Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Real-Time IoT Device Identification Using Traffic Pattern Mapping Model,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–4, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10930085
(Best Regional Paper Award, IEEE ICCE 2025)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Implementation of Opportunistic Federated Learning System for Heterogeneous Resource Environments,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–4, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10929971
Yuki Umemoto, Yoshiki Yamaguchi, Umemoto, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma,
“Quantitative Reliability Assessment for 3D LiDAR Point Cloud Data Frames,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–4, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10929948
Yoshiki Yamaguchi, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“Real-Time Recursive Point Cloud Prediction for Interpolating Anomalous Frames,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–4, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10930093
(Best Session Presentation Award, Awardee: Yoshiki Yamaguchi)
Tatsuya Kase, Kenta Hasegawa, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Real-Time Point Cloud Visualization for Sustainable Spatial Digital Twins,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–2, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10930115
Junya Sato, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“Preliminary Evaluation of Spatial Features for Real-Time Importance Estimation in Point Cloud,”
2025 IEEE International Conference on Consumer Electronics (ICCE 2025), pp. 1–2, Las Vegas, United States, January 2025.
DOI:10.1109/ICCE63647.2025.10929952
(Best Student Poster Award, IEEE ICCE 2025)
Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-Based Route Construction Method That Locks the UAV in-Flight Link and Crossing Links,”
2025 IEEE International Conference on Consumer Technology – Pacific (ICCT-Pacific 2025), pp. 1–4, Matsue, Japan, March 2025.
DOI:10.1109/ICCT-Pacific63901.2025.11012855
Masato Mitsuyama, Taku Yamazaki, and Takumi Miyoshi,
“Implementation and Evaluation of Location-Based P2P System Using Geohash,”
2025 IEEE International Conference on Consumer Technology – Pacific (ICCT-Pacific 2025), pp. 1–3, Matsue, Japan, March 2025.
DOI:10.1109/ICCT-Pacific63901.2025.11012892
Shunsuke Kamioka, Taku Yamazaki, and Takumi Miyoshi,
“Implementation and Evaluation of Digital Twin Using LiDAR and 3D City Models,”
2025 IEEE International Conference on Consumer Technology – Pacific (ICCT-Pacific 2025), pp. 1–3, Matsue, Japan, March 2025.
DOI:10.1109/ICCT-Pacific63901.2025.11012847
Takumi Miyoshi, Shingo Yamashita, and Taku Yamazaki,
“Enhancing Road Safety: a Pedestrian-to-Vehicle Collision Warning System Integrating Location-Based P2P and LiDAR Sensing,”
2025 IEEE International Conference on Consumer Technology – Pacific (ICCT-Pacific 2025), pp. 1–4, Matsue, Japan, March 2025.
DOI:10.1109/ICCT-Pacific63901.2025.11012868
Technical Reports / Workshops
Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-based Multiple Unmanned Aerial Vehicle Routing Method Avoiding Collision Due to Link Crossing,”
IEICE Technical Report, vol. 124, no. 64, pp. 17–22, June 2024. (in Japanese)
Yuta Miyakawa, Sumiko Miyata, Taku Yamazaki, and Eiji Kamioka,
“A Study on Sustainable User Selection Mechanisms Considering Non-selection Rates in Participatory Sensing Systems ,”
IEICE Technical Report, vol. 124, no. 139, pp. 95–100, July 2024. (in Japanese)
(Excellent Presentation Award, IEICE Technical Committee on Information Networks)
Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Comparison and Evaluation of Two-stage Clustering Methods for IoT Device Identification in Real Environments,”
IEICE Technical Report, vol. 124, no. 197, pp. 52–57, October 2024. (in Japanese)
(Network Systems Research Award, IEICE Technical Committee on Network Systems)
Hiroto Iwata, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“Impact of Clustering Accuracy on Hierarchical Federated Learning Considering Non-IID Data,”
IEICE Technical Report, vol. 124, no. 197, pp. 64–68, October 2024. (in Japanese)
(Excellent Student Presentation Award, IEICE Technical Committee on Network Systems)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Initial Implementation of Adaptive Resource Allocation for Opportunistic Federated Learning,”
IEICE Technical Report, vol. 124, no. 197, pp. 69–73, October 2024. (in Japanese)
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Implementation and Evaluation of Gamified 3D Mobile Crowdsensing System,”
IEICE Technical Report, vol. 124, no. 197, pp. 92–96, October 2024. (in Japanese)
(Excellent Student Presentation Award, IEICE Technical Committee on Network Systems)
Shunsuke Kamioka, Taku Yamazaki, and Takumi Miyoshi,
“Real-Time Digital Twin Construction Using LiDAR and 3D City Models,”
IEICE Technical Report, vol. 124, no. 197, p. 109, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Shunsuke Kamioka)
Kenta Hasegawa, Tatsuya Kase, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“A Study on Dynamic Generation of Digital Twin by Gamified 3D Mobile Crowdsensing,”
IEICE Technical Report, vol. 124, no. 197, p. 110, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Kenta Hasegawa)
Masato Mitsuyama, Taku Yamazaki, and Takumi Miyoshi,
“Development of Location-based P2P System Using Geohash,”
IEICE Technical Report, vol. 124, no. 197, p. 117, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Masato Mitsuyama)
Junya Sato, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“A Study on Analyzing Spatial Features for Real-time Importance Estimation in 3D Point Cloud,”
IEICE Technical Report, vol. 124, no. 197, p. 118, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Junya Sato)
Yuki Umemoto, Junya Sato, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma,
“Study on Real-time Reliability Estimation for 3D Point Cloud Data,”
IEICE Technical Report, vol. 124, no. 197, p. 119, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Yuki Umemoto)
Tatsuya Kase, Kenta Hasegawa, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“A Study on Spatial Information Management Method in Gamified 3D Mobile Crowdsensing System,”
IEICE Technical Report, vol. 124, no. 197, p. 120, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Tatsuya Kase)
(Invited Lecture) Taku Yamazaki and Takumi Miyoshi,
“3D Mobile Crowdsensing for Smart Cities,”
IEICE Technical Report, vol. 124, no. 234, pp. 16–19, November 2024. (in Japanese)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Experiment on Opportunistic Federated Learning Considering Variations in Computational Resources ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
(Best Poster Presentation Award, RISING 2024)
Shun Yokoyama, Tomoko Iwata, Taku Yamazaki, and Takumi Miyoshi ,
“A Matching Method for Power Trading with Autonomous Vehicles in V2G,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Yoshiki Yamaguchi, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“Initial Evaluation for Interpolating Anomalous Point Cloud Frames Based on Point Cloud Prediction ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Experiment on Collecting Point Cloud Data using 3D Mobile Crowdsensing System ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Tatsuya Kase, Takumi Miyoshi, and Taku Yamazaki,
“Visualizing Point Cloud in Real-time for 3D Mobile Crowdsensing System ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Makihiro Go, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“A Decentralized Validation Approach for Mitigating Semi-Targeted Model Poisoning Attacks in Federated Learning,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
(Encouragement Talk) Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-Based Route Construction Method That Locks the UAV in-Flight Link and Crossing Links ,”
IEICE Technical Report, vol. 124, no. 344, pp. 65–70, January 2025. (in Japanese)
(Encouragement Talk) Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Evaluation of Traffic Pattern Mapping Methods for Real-time IoT Device Identification ,”
IEICE Technical Report, vol. 124, no. 344, pp. 71–76, January 2025. (in Japanese)
(Encouragement Talk) Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Point Cloud Data Collection and Analysis through 3D Mobile Crowdsensing System ,”
IEICE Technical Report, vol. 124, no. 344, pp. 132–135, January 2025. (in Japanese)
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, and Kaoru Sezaki,
“Analyzing Generation Cost Based on Semantic Similarity in Generative Multi-Modal Semantic Communication,”
IEICE Technical Report, vol. 124, no. 419, pp. 226–231, March 2025. (in Japanese)
Shuji Murase, Taku Yamazaki, Takumi Miyoshi, Norihiro Okui, Ayumu Kubota, and Masataka Nakahara,
“A Continual Learning Approach Triggered by Concept Drift for Intrusion Detection Systems,”
IEICE Technical Report, vol. 124, no. 419, pp. 345–350, March 2025. (in Japanese)
Mao Kawaguchi, Taku Yamazaki, Takumi Miyoshi, Norihiro Okui, Ayumu Kubota, and Masataka Nakahara,
“Initial Evaluation of Asynchronous Federated Learning for Intrusion Detection Based on Multipoint Gateway Cooperation,”
IEICE Technical Report, vol. 124, no. 419, pp. 351–354, March 2025. (in Japanese)
Takeshi Kawamata, Hiroto Iwata, Taku Yamazaki, Takumi Miyoshi, Masataka Nakahara, Norihiro Okui, and Ayumu Kubota ,
“Gateway Clustering Considering Non-IID Data for Hierarchical Federated Learning-based Intrusion Detection,”
IEICE Technical Report, vol. 124, no. 419, pp. 355–359, March 2025. (in Japanese)
Shuto Ohkawa, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“A Method for Dynamically Designing the Altitude of Layered UAV Route,”
IEICE Technical Report, vol. 124, no. 419, pp. 407–412, March 2025. (in Japanese)
Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-based Multiple Unmanned Aerial Vehicle Routing Method Avoiding Collision Due to Link Crossing,”
IEICE Technical Report, vol. 124, no. 64, pp. 17–22, June 2024. (in Japanese)
Yuta Miyakawa, Sumiko Miyata, Taku Yamazaki, and Eiji Kamioka,
“A Study on Sustainable User Selection Mechanisms Considering Non-selection Rates in Participatory Sensing Systems ,”
IEICE Technical Report, vol. 124, no. 139, pp. 95–100, July 2024. (in Japanese)
(Excellent Presentation Award, IEICE Technical Committee on Information Networks)
Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Comparison and Evaluation of Two-stage Clustering Methods for IoT Device Identification in Real Environments,”
IEICE Technical Report, vol. 124, no. 197, pp. 52–57, October 2024. (in Japanese)
(Network Systems Research Award, IEICE Technical Committee on Network Systems)
Hiroto Iwata, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“Impact of Clustering Accuracy on Hierarchical Federated Learning Considering Non-IID Data,”
IEICE Technical Report, vol. 124, no. 197, pp. 64–68, October 2024. (in Japanese)
(Excellent Student Presentation Award, IEICE Technical Committee on Network Systems)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Initial Implementation of Adaptive Resource Allocation for Opportunistic Federated Learning,”
IEICE Technical Report, vol. 124, no. 197, pp. 69–73, October 2024. (in Japanese)
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Implementation and Evaluation of Gamified 3D Mobile Crowdsensing System,”
IEICE Technical Report, vol. 124, no. 197, pp. 92–96, October 2024. (in Japanese)
(Excellent Student Presentation Award, IEICE Technical Committee on Network Systems)
Shunsuke Kamioka, Taku Yamazaki, and Takumi Miyoshi,
“Real-Time Digital Twin Construction Using LiDAR and 3D City Models,”
IEICE Technical Report, vol. 124, no. 197, p. 109, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Shunsuke Kamioka)
Kenta Hasegawa, Tatsuya Kase, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“A Study on Dynamic Generation of Digital Twin by Gamified 3D Mobile Crowdsensing,”
IEICE Technical Report, vol. 124, no. 197, p. 110, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Kenta Hasegawa)
Masato Mitsuyama, Taku Yamazaki, and Takumi Miyoshi,
“Development of Location-based P2P System Using Geohash,”
IEICE Technical Report, vol. 124, no. 197, p. 117, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Masato Mitsuyama)
Junya Sato, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“A Study on Analyzing Spatial Features for Real-time Importance Estimation in 3D Point Cloud,”
IEICE Technical Report, vol. 124, no. 197, p. 118, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Junya Sato)
Yuki Umemoto, Junya Sato, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma,
“Study on Real-time Reliability Estimation for 3D Point Cloud Data,”
IEICE Technical Report, vol. 124, no. 197, p. 119, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Yuki Umemoto)
Tatsuya Kase, Kenta Hasegawa, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“A Study on Spatial Information Management Method in Gamified 3D Mobile Crowdsensing System,”
IEICE Technical Report, vol. 124, no. 197, p. 120, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Tatsuya Kase)
(Invited Lecture) Taku Yamazaki and Takumi Miyoshi,
“3D Mobile Crowdsensing for Smart Cities,”
IEICE Technical Report, vol. 124, no. 234, pp. 16–19, November 2024. (in Japanese)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Experiment on Opportunistic Federated Learning Considering Variations in Computational Resources ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
(Best Poster Presentation Award, RISING 2024)
Shun Yokoyama, Tomoko Iwata, Taku Yamazaki, and Takumi Miyoshi ,
“A Matching Method for Power Trading with Autonomous Vehicles in V2G,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Yoshiki Yamaguchi, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“Initial Evaluation for Interpolating Anomalous Point Cloud Frames Based on Point Cloud Prediction ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Experiment on Collecting Point Cloud Data using 3D Mobile Crowdsensing System ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Tatsuya Kase, Takumi Miyoshi, and Taku Yamazaki,
“Visualizing Point Cloud in Real-time for 3D Mobile Crowdsensing System ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Makihiro Go, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“A Decentralized Validation Approach for Mitigating Semi-Targeted Model Poisoning Attacks in Federated Learning,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
(Encouragement Talk) Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-Based Route Construction Method That Locks the UAV in-Flight Link and Crossing Links ,”
IEICE Technical Report, vol. 124, no. 344, pp. 65–70, January 2025. (in Japanese)
(Encouragement Talk) Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Evaluation of Traffic Pattern Mapping Methods for Real-time IoT Device Identification ,”
IEICE Technical Report, vol. 124, no. 344, pp. 71–76, January 2025. (in Japanese)
(Encouragement Talk) Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Point Cloud Data Collection and Analysis through 3D Mobile Crowdsensing System ,”
IEICE Technical Report, vol. 124, no. 344, pp. 132–135, January 2025. (in Japanese)
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, and Kaoru Sezaki,
“Analyzing Generation Cost Based on Semantic Similarity in Generative Multi-Modal Semantic Communication,”
IEICE Technical Report, vol. 124, no. 419, pp. 226–231, March 2025. (in Japanese)
Shuji Murase, Taku Yamazaki, Takumi Miyoshi, Norihiro Okui, Ayumu Kubota, and Masataka Nakahara,
“A Continual Learning Approach Triggered by Concept Drift for Intrusion Detection Systems,”
IEICE Technical Report, vol. 124, no. 419, pp. 345–350, March 2025. (in Japanese)
Mao Kawaguchi, Taku Yamazaki, Takumi Miyoshi, Norihiro Okui, Ayumu Kubota, and Masataka Nakahara,
“Initial Evaluation of Asynchronous Federated Learning for Intrusion Detection Based on Multipoint Gateway Cooperation,”
IEICE Technical Report, vol. 124, no. 419, pp. 351–354, March 2025. (in Japanese)
Takeshi Kawamata, Hiroto Iwata, Taku Yamazaki, Takumi Miyoshi, Masataka Nakahara, Norihiro Okui, and Ayumu Kubota ,
“Gateway Clustering Considering Non-IID Data for Hierarchical Federated Learning-based Intrusion Detection,”
IEICE Technical Report, vol. 124, no. 419, pp. 355–359, March 2025. (in Japanese)
Shuto Ohkawa, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“A Method for Dynamically Designing the Altitude of Layered UAV Route,”
IEICE Technical Report, vol. 124, no. 419, pp. 407–412, March 2025. (in Japanese)
Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-based Multiple Unmanned Aerial Vehicle Routing Method Avoiding Collision Due to Link Crossing,”
IEICE Technical Report, vol. 124, no. 64, pp. 17–22, June 2024. (in Japanese)
Yuta Miyakawa, Sumiko Miyata, Taku Yamazaki, and Eiji Kamioka,
“A Study on Sustainable User Selection Mechanisms Considering Non-selection Rates in Participatory Sensing Systems ,”
IEICE Technical Report, vol. 124, no. 139, pp. 95–100, July 2024. (in Japanese)
(Excellent Presentation Award, IEICE Technical Committee on Information Networks)
Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Comparison and Evaluation of Two-stage Clustering Methods for IoT Device Identification in Real Environments,”
IEICE Technical Report, vol. 124, no. 197, pp. 52–57, October 2024. (in Japanese)
(Network Systems Research Award, IEICE Technical Committee on Network Systems)
Hiroto Iwata, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“Impact of Clustering Accuracy on Hierarchical Federated Learning Considering Non-IID Data,”
IEICE Technical Report, vol. 124, no. 197, pp. 64–68, October 2024. (in Japanese)
(Excellent Student Presentation Award, IEICE Technical Committee on Network Systems)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Initial Implementation of Adaptive Resource Allocation for Opportunistic Federated Learning,”
IEICE Technical Report, vol. 124, no. 197, pp. 69–73, October 2024. (in Japanese)
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Implementation and Evaluation of Gamified 3D Mobile Crowdsensing System,”
IEICE Technical Report, vol. 124, no. 197, pp. 92–96, October 2024. (in Japanese)
(Excellent Student Presentation Award, IEICE Technical Committee on Network Systems)
Shunsuke Kamioka, Taku Yamazaki, and Takumi Miyoshi,
“Real-Time Digital Twin Construction Using LiDAR and 3D City Models,”
IEICE Technical Report, vol. 124, no. 197, p. 109, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Shunsuke Kamioka)
Kenta Hasegawa, Tatsuya Kase, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“A Study on Dynamic Generation of Digital Twin by Gamified 3D Mobile Crowdsensing,”
IEICE Technical Report, vol. 124, no. 197, p. 110, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Kenta Hasegawa)
Masato Mitsuyama, Taku Yamazaki, and Takumi Miyoshi,
“Development of Location-based P2P System Using Geohash,”
IEICE Technical Report, vol. 124, no. 197, p. 117, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Masato Mitsuyama)
Junya Sato, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“A Study on Analyzing Spatial Features for Real-time Importance Estimation in 3D Point Cloud,”
IEICE Technical Report, vol. 124, no. 197, p. 118, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Junya Sato)
Yuki Umemoto, Junya Sato, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma,
“Study on Real-time Reliability Estimation for 3D Point Cloud Data,”
IEICE Technical Report, vol. 124, no. 197, p. 119, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Yuki Umemoto)
Tatsuya Kase, Kenta Hasegawa, Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“A Study on Spatial Information Management Method in Gamified 3D Mobile Crowdsensing System,”
IEICE Technical Report, vol. 124, no. 197, p. 120, October 2024. (in Japanese)
(Freshmen Presentation Encouragement Award, IEICE Technical Committee on Network Systems, Awardee: Tatsuya Kase)
(Invited Lecture) Taku Yamazaki and Takumi Miyoshi,
“3D Mobile Crowdsensing for Smart Cities,”
IEICE Technical Report, vol. 124, no. 234, pp. 16–19, November 2024. (in Japanese)
Ryota Hasegawa, Shota Ono, Takumi Miyoshi, and Taku Yamazaki,
“Experiment on Opportunistic Federated Learning Considering Variations in Computational Resources ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
(Best Poster Presentation Award, RISING 2024)
Shun Yokoyama, Tomoko Iwata, Taku Yamazaki, and Takumi Miyoshi ,
“A Matching Method for Power Trading with Autonomous Vehicles in V2G,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Yoshiki Yamaguchi, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, and Ryoichi Shinkuma,
“Initial Evaluation for Interpolating Anomalous Point Cloud Frames Based on Point Cloud Prediction ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Experiment on Collecting Point Cloud Data using 3D Mobile Crowdsensing System ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Tatsuya Kase, Takumi Miyoshi, and Taku Yamazaki,
“Visualizing Point Cloud in Real-time for 3D Mobile Crowdsensing System ,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
Makihiro Go, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“A Decentralized Validation Approach for Mitigating Semi-Targeted Model Poisoning Attacks in Federated Learning,”
Cross-Field Research Association of Super-Intelligent Networking (RISING 2024), p. 1, November 2024. (in Japanese)
(Encouragement Talk) Akito Maeda, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“OLSR-Based Route Construction Method That Locks the UAV in-Flight Link and Crossing Links ,”
IEICE Technical Report, vol. 124, no. 344, pp. 65–70, January 2025. (in Japanese)
(Encouragement Talk) Mizuki Asano, Taku Yamazaki, and Takumi Miyoshi,
“Evaluation of Traffic Pattern Mapping Methods for Real-time IoT Device Identification ,”
IEICE Technical Report, vol. 124, no. 344, pp. 71–76, January 2025. (in Japanese)
(Encouragement Talk) Kaito Watanabe, Takumi Miyoshi, and Taku Yamazaki,
“Point Cloud Data Collection and Analysis through 3D Mobile Crowdsensing System ,”
IEICE Technical Report, vol. 124, no. 344, pp. 132–135, January 2025. (in Japanese)
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, and Kaoru Sezaki,
“Analyzing Generation Cost Based on Semantic Similarity in Generative Multi-Modal Semantic Communication,”
IEICE Technical Report, vol. 124, no. 419, pp. 226–231, March 2025. (in Japanese)
Shuji Murase, Taku Yamazaki, Takumi Miyoshi, Norihiro Okui, Ayumu Kubota, and Masataka Nakahara,
“A Continual Learning Approach Triggered by Concept Drift for Intrusion Detection Systems,”
IEICE Technical Report, vol. 124, no. 419, pp. 345–350, March 2025. (in Japanese)
Mao Kawaguchi, Taku Yamazaki, Takumi Miyoshi, Norihiro Okui, Ayumu Kubota, and Masataka Nakahara,
“Initial Evaluation of Asynchronous Federated Learning for Intrusion Detection Based on Multipoint Gateway Cooperation,”
IEICE Technical Report, vol. 124, no. 419, pp. 351–354, March 2025. (in Japanese)
Takeshi Kawamata, Hiroto Iwata, Taku Yamazaki, Takumi Miyoshi, Masataka Nakahara, Norihiro Okui, and Ayumu Kubota ,
“Gateway Clustering Considering Non-IID Data for Hierarchical Federated Learning-based Intrusion Detection,”
IEICE Technical Report, vol. 124, no. 419, pp. 355–359, March 2025. (in Japanese)
Shuto Ohkawa, Kiyoshi Ueda, Takumi Miyoshi, Taku Yamazaki, and Ryo Yamamoto,
“A Method for Dynamically Designing the Altitude of Layered UAV Route,”
IEICE Technical Report, vol. 124, no. 419, pp. 407–412, March 2025. (in Japanese)
Domestic Coferences
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, and Kaoru Sezaki,
“Improving Reproducibility of Image Composition by Edge Detection in Generation-based Transmission Method,”
2024 IEICE Society Conference, p. B-6-48, September 2024. (in Japanese)
Hayato Ookubo, Junya Sato, Shunsuke Kamioka, Takumi Miyoshi, and Taku Yamazaki,
“Automation of Point Cloud Labeling Based on Device Location,”
29th Research Presentation Meeting of Student Activity Committee of IEICE Tokyo Section, p. 28, March 2025. (in Japanese)
Takafumi Fu, Takumi Miyoshi, and Taku Yamazaki,
“Autonomous Quality Control Based on MAPE-K Loop for Smart City Services,”
29th Research Presentation Meeting of Student Activity Committee of IEICE Tokyo Section, p. 30, March 2025. (in Japanese)
Shuji Murase, Taku Yamazaki, Takumi Miyoshi, Masataka Nakahara, Nobuhiro Okui, and Ayumu Kubota,
“Concept Drift Detection in IoT Traffic Considering Continual Learning,”
2025 IEICE General Conference, p. B-6-10, March 2025. (in Japanese)
Makihiro Go, Shota Ono, Taku Yamazaki, and Takumi Miyoshi,
“A Decentralized Defense Method for Mitigating Model Poisoning Attacks in Federated Learning,”
2025 IEICE General Conference, p. B-6-23, March 2025. (in Japanese)
Takeshi Kawamata, Hiroto Iwata, Taku Yamazaki, Takumi Miyoshi, Masataka Nakahara, Norihiro Okui, and Ayumu Kubota,
“Study on Gateway Clustering for Hierarchical Federated Learning-based Intrusion Detection,”
2025 IEICE General Conference, p. B-6-24, March 2025. (in Japanese)
Tomoya Shinozuka, Takumi Miyoshi, and Taku Yamazaki,
“A Distributed Storage Algorithm for Sensing Data in Blockchain-enabled Dynamic Spectrum Sharing,”
2025 IEICE General Conference, p. B-6-25, March 2025. (in Japanese)
Hiroaki Sugiura, Taku Yamazaki, and Takumi Miyoshi,
“Effectiveness of Machine Learning in Vehicle-to-pedestrian Warning System,”
2025 IEICE General Conference, p. B-6-33, March 2025. (in Japanese)
Eisuke Kansaku, Taku Yamazaki, and Takumi Miyoshi,
“Development of Information Sharing System Using Location-based P2P Communication Infrastructure,”
2025 IEICE General Conference, p. B-6-17, March 2025. (in Japanese)
Shun Yokoyama, Tomoko Iwata, Taku Yamazaki, and Takumi Miyoshi,
“A Matching Method for Power Trading between Vehicles Using Charging and Discharging Demand Prediction,”
2025 IEICE General Conference, p. B-6-44, March 2025. (in Japanese)
Kengo Ninomiya, Hiroshi Katada, Taku Yamazaki, Takumi Miyoshi, Ryo Yamamoto, and Kiyoshi Ueda,
“High-density UAV Routing Mechanism Using Capacity-aware Physarum Solver,”
2025 IEICE General Conference, p. B-6-70, March 2025. (in Japanese)
Rikuto Shimizu, Junya Sato, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma,
“Initial Analysis on Real-time Point Cloud Classification Based on Importance Estimation,”
2025 IEICE General Conference, p. B-15-41, March 2025. (in Japanese)
Yuzuki Yasuzuka, Taku Yamazaki, and Takumi Miyoshi,
“Mirror Surface Detection Based on Discontinuity in Measured Distances Using Multiple LiDAR Sensors,”
2025 IEICE General Conference, p. B-15-42, March 2025. (in Japanese)
Haruki Narabu, Junya Sato, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma,
“Initial Analysis on Importance Estimation in Point Cloud Using Adaptive Voxel Size,”
2025 IEICE General Conference, p. B-15-43, March 2025. (in Japanese)