著者
近藤 真阿久 竹村 裕 築地原 里樹 下田 晋寛 曽我 公平 須賀 一博 頼 威任 キム スンミン 簡野 瑞誠 宇尾 基弘
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集 2020 (ISSN:24243124)
巻号頁・発行日
pp.2P1-D09, 2020 (Released:2020-11-25)

In recent years, the demand for orthodontic treatment has been increasing, but the change in the moment due to the movement of the teeth during orthodontic treatment has not been measured and has not been quantitatively evaluated. The purpose of this study is to develop a three-tooth device with a built-in 6-axis force sensor and to evaluate orthodontic treatment quantitatively. We have developed a device that can change the angle of the central tooth using a stepping motor to reproduce the movement of the teeth during orthodontic treatment. We verified whether wires needed to be reattached during orthodontic treatment using this device. As a result, it turned out that a larger moment can be applied to the teeth by reattaching the wire during orthodontic treatment
著者
竹村 裕夫 大井 一成 佐藤 逸三 斎藤 喜久雄
出版者
一般社団法人 映像情報メディア学会
雑誌
テレビジョン学会誌 (ISSN:03866831)
巻号頁・発行日
vol.33, no.7, pp.542-547, 1979-07-01 (Released:2011-03-14)
参考文献数
10

512 (V) × 340 (H) 画素CCD2個と色スプライプフィルターを組合せた2板式カラーカメラを開発, 比較的少ない画素数のCCDを用いて実用レベルに近い画像を得ることに成功した.またフレーム転送方式CCDの画素構成を解析, 混色と解像度の点で, このカラー撮像方式が有利なことを明らかにした.
著者
篠田 昌宏 竹村 裕介 蛭川 和也 高岡 千恵 長谷川 康 尾原 秀明 北郷 実 阿部 雄太 八木 洋 松原 健太郎 山田 洋平 堀 周太郎 田中 真之 中野 容 板野 理 黒田 達夫 北川 雄光
出版者
南江堂
巻号頁・発行日
pp.101-108, 2021-02-01

わが国の肝移植は,かつてない大きな変革を遂げている.2019年,脳死肝移植は全移植数の1/5を数えるようになった.Allocation制度も大きく改変され,model for end-stage liver disease(MELD)制などが実臨床に大きな影響を与えている.ドナー情報を得られる機会が増加し,高MELDなど重症患者の増加も見込まれる中,脳死肝移植ナショナルデータ解析のプロジェクトもすすんでいる.さらに,働き方改革,互助制度,新型コロナウイルス感染症(COVID-19)など新たな移植のスタイルが成り立とうとしている.
著者
西村 聡 竹村 裕 溝口 博
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集
巻号頁・発行日
vol.2006, pp._2P1-D16_1-_2P1-D16_2, 2006

This paper introduces a person following shopping cart robot. The developed prototype robot is using a shopping cart as the robot's main body and attaching a driving module. The aim of this study is to develop a porting system for large-sized facilities (i.e. shopping mall, airport, etc.), where the object item is autonomously carried by a person following ("after you") porting robot. We believe such study on porting robots is highly practical and necessary in today's aging society. By using the computer's signal output for autonomous run and the radio control operation function for risk aversion, a compatible control with computer and radio control is realized. The structure and the principle of control system are described.
著者
矢羽田 彩乃 北川 雄一 大窪 歩 大久保 喬平 曽我 公平 大島 朋子 竹村 裕
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集 2020 (ISSN:24243124)
巻号頁・発行日
pp.2P1-F12, 2020 (Released:2020-11-25)

This study shows the possibility of plaque detection by near-infrared hyper spectrum imaging (NIR-HSI) and machine learning without plaque stain. While the plaque stain shows where the plaque is, the plaque stain leaves color and may cause anaphylaxis. Near-infrared images are obtained from the plaque cultured teeth by NIR-HSI. RGB images of stained teeth are obtained and superimposed on the near-infrared image. The G channel of the RGB image is corrected to label the spectral data plaque or no plaque. Learning and prediction were performed by Artificial Neural Network. The proposed method showed that plaque could be detected without staining about 70% accurate.
著者
今井 健太 北村 光司 西田 佳史 竹村 裕 杉本 裕
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集 2015 (ISSN:24243124)
巻号頁・発行日
pp._1A1-W02_1-_1A1-W02_4, 2015-05-17 (Released:2017-06-19)

A large number of injuries were occurred in Japanese school environments. To prevent school injuries, it is important to understand accident situations and prioritize intervention targets. However, it is difficult for a risk manager of each school to do this since each school does not have data enough for statistical analysis. In this study, we developed the system that allows to grasp serious accident situations by integratively utilizing data distributed in multiple schools. The developed system finds serious accident situations that a school risk manager should know as follows. First, the system registers situational feature vectors for accident situations data by using a textmining technology. Second using the database, it searches accidents situations similar to the actually occurred situations. Finally it shows most expensive accidents using medical cost data. The effectiveness of the system was confirmed using 5,817 school injury data.