論文 - 吉廣　卓哉

都市規模交通シミュレーションのための交通・信号制御モデルの作成支援スクリプト

鈴木潮音, 岡﨑翔大, 八木陵介, 西前太揮, 重野寛, 吉廣卓哉 (担当区分： 最終著者,　責任著者 )

情報処理学会論文誌（採録決定）   66 ( 6 )   2025年06月  [査読有り]

Controlling Detour Vehicle Volume for Stable Congestion Mitigation in Route Guidance Systems

Arisa Kitano, Takuya Yoshihiro (担当区分： 最終著者,　責任著者 )

Sensors and Materials   36 ( 10 ) 4483 - 4499   2024年10月  [査読有り]

A Flow-based Centralized Route Guidance System for Traffic Congestion Mitigation

Yusuke Matsui, Takuya Yoshihiro (担当区分： 最終著者,　責任著者 )

IEEE Transactions on Intelligent Transportation Systems   25 ( 8 ) 8681 - 8694   2024年03月  [査読有り]

DOI

A Transfer Learning Approach Based on Radar Rainfall for River Water-Level Prediction

Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro (担当区分： 最終著者,　責任著者 )

Water ( MDPI AG )  16 ( 4 ) 607   2024年02月  [査読有り]

　概要を見る

River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological stations. A prediction model incorporating a two-dimensional convolutional neural network (2D-CNN) and long short-term memory (LSTM) is constructed to exploit geographical and temporal features of radar rainfall data, and a transfer learning method using a newly defined flow–distance matrix is presented. The results of our evaluation of the Oyodo River basin in Japan show that the presented transfer learning model using radar rainfall instead of upstream measurements has a good prediction accuracy in the case of torrential rain, with a Nash–Sutcliffe efficiency (NSE) value of 0.86 and a Kling–Gupta efficiency (KGE) of 0.83 for 6-h-ahead forecast for the top-four peak water-level height cases, which is comparable to the conventional model using upstream measurements (NSE = 0.84 and KGE = 0.83). It is also confirmed that the transfer learning model maintains its performance even when the amount of training data for the prediction site is reduced; values of NSE = 0.82 and KGE = 0.82 were achieved when reducing the training torrential-rain-period data from 12 to 3 periods (with 105 periods of data from other rivers for transfer learning). The results demonstrate that radar rainfall data and a few torrential rain measurements at the prediction location potentially enable us to predict river water levels even if hydrological stations have not been installed at the prediction location.

DOI

Monetary valuation of personal health data in the wild

Andy Alorwu, Niels van Berkel, Aku Visuri, Sharadhi Suryanarayana, Takuya Yoshihiro, Simo Hosio

International Journal of Human-Computer Studies     103241   2024年02月  [査読有り]

コミュニティ型クラウドソーシングにおける行動経済学に基づいたタスク実行の動機付け効果

仙頭美卯, 吉廣卓哉 (担当区分： 最終著者,　責任著者 )

情報処理学会論文誌   64 ( 7 ) 1153 - 1163   2023年07月  [査読有り]

Predicting Microclimate Based on Difference from Meteorological Observatory

Genki Nishikawa, Takuya Yoshihiro

International Journal of Informatics Society   15 ( 1 ) 33 - 42   2023年06月  [査読有り]

Simulation-Based IoT Stream Data Pricing Incorporating Seller Competition and Buyer Demands

Takuya Yoshihiro, Simo Hosio (担当区分： 筆頭著者,　責任著者 )

IEEE Access ( Institute of Electrical and Electronics Engineers (IEEE) )  11   16213 - 16225   2023年  [査読有り]

DOI

Channel Assignment Based on CSMA-aware Interference Model with Overlapped Channels in Multi-Radio Multi-Channel Wireless Mesh Networks

Tian Yi, Takuya Yoshihiro (担当区分： 最終著者 )

IEEE Access   10   96695 - 96709   2022年09月  [査読有り]

DOI

Indoor Localization under Sparse Bluetooth Low Energy Scanner Deployment for Medical and Nursing Care of Elderly People

Takuya Yoshihiro, Takeshi Goya (担当区分： 筆頭著者,　責任著者 )

Sensors and Materials ( MYU K.K. )  34 ( 8 ) 3029 - 3045   2022年06月  [査読有り]

宛先到着遅延を考慮して渋滞を緩和する自動車の経路誘導手法

松井雄資, 吉廣卓哉

情報処理学会論文誌   63 ( 2 ) 665 - 675   2022年02月  [査読有り]

Achieving Hidden-terminal-free Channel Assignment in IEEE802.11-based Multi-radio Multi-channel Wireless Mesh Networks

Tian Yi, Takahiro Noi, Takuya Yoshihiro (担当区分： 最終著者 )

IEICE Transactions on Communications   E104-B ( 7 )   2021年07月  [査読有り]

An Incremental Approach for Optimal Feature Selection in Regression: A Case Study of Wagyu Proteome Analysis

Nanami Higashiguchi, Masatsugu Motohiro, Haruka Ikegami, Tamako Matsuhashi, Kazuya Matsumoto, Takuya Yoshihiro (担当区分： 最終著者,　責任著者 )

International Journal of Informatics Society   12 ( 3 ) 167 - 175   2021年03月  [査読有り]

Duty-cycle Communication Protocol with Wi-Fi Direct for Wireless Sensor Networks

Shiho Tashiro, Takuya Yoshihiro (担当区分： 最終著者 )

Sensors and Materials   33 ( 1 ) 127 - 145   2021年03月  [査読有り]

Localization with Portable APs in Ultra-Narrow-Band-based LPWA Networks

Miya Fukumoto, Takuya yoshihiro (担当区分： 最終著者,　責任著者 )

Journal of Information Processing (JIP)   29 ( 2 ) 1 - 8   2021年02月  [査読有り]

Traffic-Demand-Aware Collision-free Channel Assignment for Multi-channel Multi-radio Wireless Mesh Networks

Yi Tian, Takuya Yoshihiro (担当区分： 最終著者 )

IEEE Access ( Institute of Electrical and Electronics Engineers (IEEE) )  8   120712 - 120723   2020年07月  [査読有り]

DOI

農業センサを用いたトルコギキョウの個体損失の確率モデリング

本廣多胤, 花田裕美, 吉廣卓哉 (担当区分： 最終著者 )

情報処理学会論文誌   60 ( 2 ) 375 - 384   2020年02月  [査読有り]

Link-speed Aware Scheduling for Slotted-CSMA BasedWireless Mesh Networks

Yasuhiro Mori, Takuya Yoshihiro (担当区分： 最終著者 )

International Journal of Informatics Society   10 ( 3 ) 129 - 138   2019年12月  [査読有り]

A Traffic-Demand-Aware Collision-free Channel Allocation for Multi-channel Wireless Mesh Networks

Tian Yi, Takuya Yoshihiro (担当区分： 最終著者 )

The 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2019)     2019年11月  [査読有り]

Improving Accuracy of Localization with Portable APs in Ultra-Narrow-Band-based LPWA Networks

Miya Fukumoto, Takuya Yoshihiro (担当区分： 最終著者 )

The 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2019)     2019年11月  [査読有り]