Updated on 2024/06/19

写真a

 
TAMESUE, Kazuhiko
 
Affiliation
Faculty of Science and Engineering, Waseda Research Institute for Science and Engineering
Job title
Senior Researcher(Assistant Professor)

Research Experience

  • 2022.04
    -
    Now

    Waseda University   Research Institute for Science and Engineering   Senior Researcher

  • 2021.04
    -
    2022.03

    Waseda University   Global Information and Telecommunication Institute   Senior Researcher

  • 2009.10
    -
    2021.03

    Panasonic Corporation

  • 1999.09
    -
    2009.09

    パナソニックモバイルコミュニケーションズ(株)

  • 1991.07
    -
    1999.08

    松下電器産業(株)   本社技術部門 九州マルチメディアシステム研究所

  • 1988.04
    -
    1991.07

    株式会社リコー

▼display all

Professional Memberships

  •  
     
     

    電子情報通信学会

  •  
     
     

    IEEE

Research Areas

  • Information network   移動体通信システム
 

Papers

  • GNSS Spoofing Detection Using Multiple Sensing Devices and LSTM Networks

    Xin QI, Toshio SATO, Zheng WEN, Yutaka KATSUYAMA, Kazuhiko TAMESUE, Takuro SATO

    IEICE Transactions on Communications   E106.B ( 12 ) 1372 - 1379  2023.12

    DOI

  • LSTM-Based GNSS Spoofing Detection for Drone Formation Flights

    Zheng Wen, Xin Qi, Toshio Sato, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Jiro Katto, Takuro Sato

    IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society    2023.10

    DOI

  • A Machine Learning-based Non-precipitating Clouds Estimation for THz Dual-Frequency Radar

    Kazuhiko Tamesue, Zheng Wen, Shotaro Yamaguchi, Hiroyuki Kasai, Wataru Kameyama, Toshio Sato, Yutaka Katsuyama, Takuro Sato, Takeshi Maesaka

    IEEE Conference on Antenna Measurements and Applications, CAMA     376 - 380  2023

     View Summary

    Accurate measurement of non-precipitable clouds is important for early prediction of heavy rainfall disasters caused by extreme weather events. However, microwave cloud radar cannot observe the early stages of cloud development from non-precipitation clouds (cumulus) to cumulonimbus. In this paper, we propose a terahertz dual-frequency cloud radar using 150 GHz and 95 GHz bands to detect cloud particles in cumulus smaller than 10 μm. Using a dataset generated by the ITU-R radio propagation model, we estimate the liquid water content of non-precipitation clouds and water vapor content in atmospheric gases, respectively, by using a machine learning-based approach. The effectiveness of using the dual wavelength ratio as an explanatory variable is examined.

    DOI

    Scopus

  • A Predictive Approach for Compensating Transmission Latency in Remote Robot Control for Improving Teleoperation Efficiency

    Yutaka Katsuyama, Toshio Sato, Zheng Wen, Xin Qi, Kazuhiko Tamesue, Wataru Kameyama, Yuichi Nakamura, Takuro Sato, Jiro Katto

    Proceedings - IEEE Global Communications Conference, GLOBECOM     6934 - 6939  2023

     View Summary

    Transmission latency presents a significant challenge when operating remote equipment, such as a robotic arm. To address this, we developed a platform and conducted experiments to reduce transmission latency to near-zero levels. These experiments employed Long Short-Term Memory (LSTM) to anticipate future motion trends, leveraging both the controller's movement variables and Electromyography (EMG) data from the operator's arm muscles. Our findings indicate the potential to decrease transmission latency by approximately 500ms. Additionally, our research confirms a direct correlation between prediction accuracy and the brevity of prediction time, suggesting that shorter prediction times yield more accurate results when using EMG. In the context of video transmission for a remotely located robotic arm, we applied video prediction techniques using the Predictive Coding Network (PredNet) to counter network latency. Our results suggest that these predictive methods can effectively compensate for a latency period of 300ms, thereby highlighting their potential for reducing transmission latency in remote robotic operations.

    DOI

    Scopus

  • GNSS Spoofing Detection using Multiple Sensing Devices and Decision Tree Classifier

    Xin Qi, Toshio Sato, Zheng Wen, Masaru Takeuchi, Yutaka Katsuyama, Kazuhiko Tamesue, Kazue Sako, Jiro Katto, Takuro Sato

    IEICE Proceeding Series   72   O3-5  2022.11

     View Summary

    For next-generation logistics systems using autonomous vehicles and drones, spoofing of the GNSS location data induces serious problems. Although signal-based anti-spoofing has been studied, it is difficult to apply to current commercial GNSS modules in many cases. We investigate possibilities to detect spoofing of GNSS location data using multiple sensing devices and a decision tree classifier. Multiple features using the GNSS, beacons, and the IMU are defined and create a model to detect spoofing. Experimental results using learning-based classifier indicates the higher performances and generalization capability. The results also show that distance from beacons is useful to detect GNSS spoofing and indicate prospects of installation for the future drone highways.

    DOI

  • Design and Implementation of Ledger-Based Points Transfer System for IoT Devices in LPWAN

    Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Isao Konno, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato

    Wireless Communications and Mobile Computing   2022   1 - 13  2022.08

     View Summary

    Distributed ledger technology is becoming popular these days because of its high confidentiality, decentralization, and nontampering. It is suitable for replacing centralized security disadvantaged point transfer systems. Low-power wide area network (LPWAN) is capable for long-range communication with low-power consumption. The iconic features like wide area coverage and long battery-powered duration make it best to combine with large-scale IoT application deployment. In both industry and academic field, such combination of LPWAN and point transfer system is highly attended. However, the ledger management system generates too much data that low-bandwidth network such as LPWAN can hardly handle; meanwhile, the processing power’s requirement for small IoT devices is challenging. Towards addressing these issues, we design a packet transmission optimizing mechanism for a ledger-based point transfer system (LPTS) in LPWAN to reduce overall data traffic and build a simulator to evaluate its performance. Moreover, we have implemented the system and evaluated in field experiment.

    DOI

    Scopus

  • AI-Based W-Band Suspicious Object Detection System for Moving Persons: Two-Stage Walkthrough Configuration and Recognition Optimization

    Zheng Wen, Keping Yu, Xin Qi, Toshio Sato, San Hlaing Myint, Kazuhiko Tamesue, Yutaka Katsuyama, Hironori Dobashi, Yasushi Murakami, Ikuo Koyama, Kiyohito Tokuda, Wataru Kameyama, Takuro Sato

    Wireless Communications and Mobile Computing   2022   1 - 16  2022.06

     View Summary

    In recent years, terrorist attacks have been spreading worldwide and become a public hazard to human society. The suspicious object detection system is an effective way to prevent terrorist attacks in public places. However, traditional systems face two main challenges: First, they need to conduct security checks at the entrance one by one, which leads to crowding; second, they rely heavily on screeners’ ability to understand security images, which can easily lead to misjudgment. To address these issues, we propose an AI-based W-band suspicious object detection system for moving persons that can perform a two-stage walkthrough screening for suspicious objects in an open area to maintain high throughput. The 1st screening uses millimeter wave radar and cameras to automatically screen suspects who may have concealed suspicious objects in an open area. The 2nd screening involves security personnel using a hybrid imager with active and passive imaging capabilities to identify the specific suspicious objects carried by the suspect. Convolutional neural network (CNN) based artificial intelligence (AI) technology will be used to improve the accuracy and speed of suspicious object detection. We performed an experiment to validate the proposed system. The usability and safety of the system are demonstrated by recognition rate (aka accuracy rate) or both recall and precision rate. In addition, in the process of improving the suspicious object recognition rate by AI techniques, we use generative adversarial network to help build a suspicious object database and successfully validate the effectiveness of the method and the factors affecting the suspicious object recognition rate to optimize the system.

    DOI

    Scopus

    2
    Citation
    (Scopus)
  • 300GHz Indoor Propagation Measurement, Simulation and Characterization

    Kazuhiko Tamesue, Seiji Nishi, San Hlaing Myint, Zheng Wen, Toshio Sato, Takuro Sato, Tetsuya Kawanishi

    2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2022     380 - 385  2022

     View Summary

    This paper presents radio propagation characteristics in a typical indoor space in a 300 GHz Sub-THz broadband channel. We clarified path loss and cross-polarization characteristics in multiple spaces using a linearly polarized horn antenna with 24.6 dBi (E-plane beamwidth 4.5°) and 8.7 dBi (E-plane beamwidth 35°) and a newly developed RHCP circularly polarized patch array antenna which has a gain of 3.4 dBi (E-plane beamwidth 10°) at 300 GHz. We also clarified the effect of shielding by the human body. Furthermore, a comprehensive analysis using ray tracing confirms the accurate agreement of the root mean square delay spread.

    DOI

    Scopus

  • Optimizing Packet Transmission for Ledger-Based Points Transfer System in LPWAN: Solutions, Evaluation and Standardization

    Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato

    ITU Kaleidoscope 2021    2021.11  [Refereed]

  • Content-oriented Multicamera Trajectory Forecasting Surveillance Network System

    Xin Qi, Toshio Sato, Keping Yu, San Hlaing Myint, Yutaka Katsuyama, Kazuhiko Tamesue, Kiyohito Tokuda, Zheng Wen, Takuro Sato

    International Conference on Ubiquitous and Future Networks, ICUFN   2021-August   17 - 22  2021.08  [Refereed]

     View Summary

    To reduce safety violations in wide-area ranges, there is a need for highly functional multicamera surveillance systems. We introduce a multicamera trajectory forecasting surveillance network system based on a content-oriented suspicious object network system. This system uses multiple cameras in detection and recognition to track persons among different areas and is capable of retracking people. Each camera node has a processing unit and uses information-centric networking technology to build a content-oriented IoT network. We use field-recorded data to support the simulation, and the evaluation result indicates that our trajectory forecasting method is more efficient than conventional surveillance systems.

    DOI

    Scopus

  • Ledger-based Points Transfer System in LPWAN: From Disaster Management Aspect

    Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato

    2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) December 2021    2021.08  [Refereed]

  • Simulation and Evaluation of 28GHz SHF Wave Beamforming with 4x4 Element Configuration Using RF Circuit Phase Control

    Kazuhiko Tamesue, Zheng Wen, Takuro Sato

    JOURNAL OF ADVANCED SIMULATION IN SCIENCE AND ENGINEERING   8 ( 1 ) 1 - 11  2020  [Refereed]

    Authorship:Lead author

     View Summary

    In the 5th generation mobile communication system (5G), there is a strong demand for higher speed and higher capacity. The beamforming technique using phased-array antennas is effective for long-distance radio propagation and for reducing interference signals in the high SHF (super high frequency) band because the phase shift of the antenna array elements can be controlled to produce a narrow-band beam and to control the directivity. We have developed the 28 GHz array antenna for small cells and evaluated the beamforming characteristics using an RF analog phase shifter control scheme. In this paper, we verify the computer simulation and evaluation results of the beamforming characteristics of a newly developed 4x4 phased array antenna.

    DOI

  • AI Management System to Prevent Accidents in Construction Zones Using 4K Cameras Based on 5G Network

    Daichi Nozaki, Koki Okamoto, Toru Mochida, Xin Qi, Zheng Wen, San Hlaing Myint, Kiyohito Tokuda, Takuro Sato, Kazuhiko Tamesue

    International Symposium on Wireless Personal Multimedia Communications, WPMC   2018-November   462 - 466  2018.07  [Refereed]

     View Summary

    Accident prevention for trucks, cranes and work vehicles at construction sites is important. Here, we use high-precision surveillance cameras with 4K cameras as IoT terminals to implement safe workplace environments. In this research, the system transmits photographic images from trucks, cranes, and other construction equipment fitted with 4K cameras at the work site to a database via 5G wireless networks, and uses AI to assess the interactions and movements of workers in the database. We introduce a system that makes it possible to avoid crashes by informing truck and crane drivers, and notifying automatic driving trucks and crane cars of that information. It is conceivable that uplink traffic could become congested due to many vehicles equipped with 4K cameras simultaneously transmitting images over the 5G uplink. Here, as a basic 5G characteristic evaluation, 4K images from trucks or cranes moving at a low speed are transmitted to the database according to moving speed and distance to the 5G terminal connecting the base station and IoT device. Based on the error environment, we report the relation with the error of the system that judges and identifies the surrounding environment using AI when video quality is deteriorated.

    DOI

    Scopus

    10
    Citation
    (Scopus)
  • 次世代無線システムシミュレーションの研究開発

    爲末和彦, 佐藤拓朗

    シミュレーション   36 ( 4 )  2017  [Refereed]

    Authorship:Lead author

    J-GLOBAL

  • A Study on a Resource Allocation Method with QoS in a Base Station Cooperated MIMO Network

    大西健太, 爲末和彦, 佐藤拓朗

    日本シミュレーション学会論文誌(Web)   4 ( 3 )  2012  [Refereed]

    J-GLOBAL

  • 複数基地局間における帯域保証動的チャネル割当方式

    大西健太, 爲末和彦, 佐藤拓朗

    電子情報通信学会論文誌 B   J94-B ( 11 )  2011  [Refereed]

    J-GLOBAL

  • SC-FDMA,OFDM変調方式におけるダイレクトコンバージョン受信機の適応切換DCオフセット補償方式の検討

    爲末和彦, 爲末和彦, 佐藤拓朗

    電子情報通信学会論文誌 B   J92-B ( 10 )  2009  [Refereed]

    Authorship:Lead author

    J-GLOBAL

  • ダイレクトコンバージョン受信機の適応切換DCオフセットキャンセラ方式の検証

    爲末和彦, 森屋正弘, 佐藤拓朗

    電子情報通信学会論文誌 B   J91-B ( 4 )  2008  [Refereed]

    Authorship:Lead author

    J-GLOBAL

  • ダイレクトコンバージョンを用いたTDMAバーストモード受信におけるDC歪み補償方式に関する研究

    爲末和彦, 佐藤拓朗

    早稲田大学 GITS/GITI紀要 2005-2006     170 - 177  2006  [Refereed]

    Authorship:Lead author

  • MESA符号とマルチバンド分割受信を用いた電灯線伝送方式の提案

    牧昌弘, 爲末和彦, 徳田正満, 桑原伸夫

    電子情報通信学会論文誌A   J85 ( A ) 704 - 714  2002.06  [Refereed]

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Research Projects

  • テラヘルツ帯通信の高密度化・長距離化に関する研究開発

    Project Year :

    2021.08
    -
    2023.03
     

  • セキュリティ強化に向けた移動物体高度認識レーダー基盤技術の研究開発

    Project Year :

    2021.04
    -
    2022.03
     

  • LPWAに対応した軽量な分散台帳技術を用いた認証システムの研究開発

    Project Year :

    2021.04
    -
    2022.03
     

Misc

  • Zero Latency Interaction of Video and Somatic Integrated Services over B5G Networks (4) Compensation of Network Latency by Video Prediction for Remote Operations

    佐藤俊雄, 勝山裕, 中村裕一, QI Xin, WEN Zheng, 爲末和彦, 亀山渉, 甲藤二郎, 佐藤拓朗

    電子情報通信学会大会講演論文集(CD-ROM)   2023  2023

    J-GLOBAL

  • Deep Learning Based Concealed Object Recognition in Active Millimeter Wave Imaging

    San Hlaing Myint, Yutaka Katsuyama, Toshio Sato, Xin Qi, Kazuhiko Tamesue, Zheng Wen, Keping Yu, Tokuda Kiyohito, Takuro Sato

    2021 IEEE Asia-Pacific Microwave Conference (APMC)    2021.10  [Refereed]

  • Dynamic Channel Allocation Using Exclusive Coordination Among Base Stations

    Kenta Onishi, Kazuhiko Tamesue, Takuro Sato

    13th International Symposium on Wireless Personal Multimedia Communication (WPMC 2010)    2010.09  [Refereed]

    CiNii

  • Adaptive Compensation Scheme of Time-Varying DC Offset for 8-PSK TDMA Burst Mode Direct-Conversion Receiver

    Kazuhiko Tamesue, Takuro Sato

    11th International Symposium on Wireless Personal Multimedia Communication (WPMC 2008), September 8-11 2008    2008.09  [Refereed]

    Authorship:Lead author

  • ダイレクトコンバージョンにおけるDCオフセット電圧の抑圧に関する検討

    爲末和彦, 森屋正弘, 松本圭介, 中村文, 佐藤拓朗

    電子情報通信学会総合大会講演論文集B-5-127    2005.03

    Authorship:Lead author

  • ダイレクトコンバージョン受信機の適応切替えDCオフセットキャンセラー方式の検証

    爲末和彦, 森屋正弘, 佐藤拓朗

    信学技報,RCS2005-27    2005

    Authorship:Lead author

  • 伝送路特性解析に基づく電灯線伝送変復調方式

    牧昌弘, 爲末和彦, 井形裕司, 羽迫里志, 和田正己, 徳田正満, 桑原伸夫

    信学技報SAT2001-30     63 - 70  2001

  • 電灯線スペクトラム拡散(SS)通信モデム

    爲末和彦, 井形裕司, 羽迫里志, 岩本幸司, 阪上賢一

    電子情報通信学会総合大会講演論文集 SC-12-6    1999.03

    Authorship:Lead author

  • 二次電池モデルと印加波形による発熱予測

    中尾武寿, 爲末和彦, 八田真一郎

    応用物理学関係連合講演会講演予稿集 30p-NP-11    1997.01

  • デジタル方式ACサーボドライバのLSI化に関する一検討

    西田要一, 爲末和彦, 山元隆

    電子情報通信学会総合大会講演論文集 C-546    1996.03

  • TV,VTR向けステレオ音声用AGC LSIの開発

    永野孝一, 爲末和彦, 中村満寿央, 小林拓

    電子情報通信学会ソサイエティ大会講演論文集 C-492    1995.09

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Industrial Property Rights

  • プロジェクタのオートフォーカス制御システム

    爲末 和彦

    Patent

    J-GLOBAL

  • 測位装置、測位方法、映像表示装置

    特許第6704108号

    爲末 和彦

    Patent

    J-GLOBAL

  • ミリ波無線装置

    特許第6255565号

    爲末 和彦

    Patent

    J-GLOBAL

  • 送信電力制御方法

    特許第5515494号

    爲末 和彦

    Patent

    J-GLOBAL

  • DCオフセット除去方法及びそれを用いた受信装置

    特許第4495555号

    爲末 和彦, 森屋 正弘

    Patent

    J-GLOBAL

  • 携帯無線装置

    爲末 和彦

    Patent

    J-GLOBAL

  • 電気車両の漏電検出装置

    特許第4017770号

    爲末 和彦, 高田 雅弘, 金丸 邦郎

    Patent

    J-GLOBAL

  • データ受信装置及びその制御方法

    爲末 和彦

    Patent

    J-GLOBAL

  • 受信品質測定装置及び受信装置

    特許第3805322号

    中村 文, 爲末 和彦

    Patent

    J-GLOBAL

  • 伝送装置、携帯端末及び通信システム

    赤岡 康伸, 爲末 和彦, 松本 圭介

    Patent

    J-GLOBAL

  • 回線推定方法およびそれを用いた受信装置

    爲末 和彦, 森屋 正弘

    Patent

    J-GLOBAL

  • 二次電池の使用方法およびその方法を用いた装置

    特許第3700288号

    中尾 武寿, 八田 真一郎, 爲末 和彦

    Patent

    J-GLOBAL

  • 電池の残存容量測定装置

    特許第3695444号

    爲末 和彦, 八田 真一郎, 中尾 武寿, 熊本 義則

    Patent

    J-GLOBAL

  • 自動周波数制御装置

    爲末 和彦, 三浦 康夫, 山本 直行

    Patent

    J-GLOBAL

  • 受信レベル測定装置及び受信レベル測定方法

    中村 文, 爲末 和彦

    Patent

    J-GLOBAL

  • 同期検波装置および同期検波方法

    爲末 和彦, 林田 敏英

    Patent

    J-GLOBAL

  • 誤り訂正復号装置および誤り訂正復号方法

    特許第3440092号

    爲末 和彦, 金井 宏和

    Patent

    J-GLOBAL

  • 電池の状態解析装置

    特許第3402167号

    爲末 和彦, 八田 真一郎, 中尾 武寿, 熊本 義則

    Patent

    J-GLOBAL

  • D/A変換装置

    爲末 和彦, 東川 牧世, 吉富 隆博

    Patent

    J-GLOBAL

  • アンテナ伸縮装置及び該装置を備える携帯電話装置

    加藤 秀明, 爲末 和彦

    Patent

    J-GLOBAL

  • パケット受信装置

    爲末 和彦, 羽迫 里志, 井形 裕司

    Patent

    J-GLOBAL

  • デジタル通信装置

    羽迫 里志, 井形 裕司, 爲末 和彦

    Patent

    J-GLOBAL

  • PLL回路

    特許第3079943号

    爲末 和彦

    Patent

    J-GLOBAL

  • ハイブリッド制御装置

    爲末 和彦

    Patent

    J-GLOBAL

  • 自動利得制御装置

    特許第2901899号

    爲末 和彦, 永野 孝一, 中村 満寿央

    Patent

    J-GLOBAL

  • 電池の状態解析方法及びその装置

    爲末 和彦, 八田 真一郎, 中尾 武寿, 熊本 義則

    Patent

    J-GLOBAL

  • バーチャルリアリティ表示装置

    西田 要一, 爲末 和彦

    Patent

    J-GLOBAL

  • デジタルPWM制御装置

    爲末 和彦, 西田 要一

    Patent

    J-GLOBAL

  • AGC回路

    永野 孝一, 爲末 和彦

    Patent

    J-GLOBAL

  • 秘話伝送装置

    爲末 和彦

    Patent

    J-GLOBAL

  • 絶対値回路

    道正 志郎, 爲末 和彦

    Patent

    J-GLOBAL

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Syllabus

 

Sub-affiliation

  • Faculty of Science and Engineering   Graduate School of Fundamental Science and Engineering