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- 저자 : Takuya Hida (검색결과 4 건)
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Takuya Hida,Yuka Yoshioka,Akihiko Seo 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.1
Automated systems based on image processing have been introduced into the visual inspection process. However, owing to persisting technical and cost issues, human visual inspection still plays a major role in industrial inspections. When workers inspect small items (e.g., digital camera lenses or containers of liquid cosmetics) with one hand, which leads to an awkward posture, they experience upper-limb loading because of high loads on the upper extremities. This upper-limb loading may damage their hands, arms, and shoulders. There are a very limited number of studies that investigate the effects of upper-limb loading on humans during visual inspections; therefore, we conducted experiments on subjects where they used one hand to handle small objects for visual inspections. Using electromyography, joint angle measurements, and subjective evaluations, we investigated the effects of the grasp height and the subject’s inspection posture on the load applied to the upper limb. The results showed that the effects of upper-limb loading varied depending on the inspection posture because of variations in the locations where the loads acted on the body. Therefore, when evaluating upper-limb loading during such tasks, it was necessary to consider not only the muscle load but also the posture, the posture duration, and the subjective metrics.
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Masaki Kubo,Takuya Hida,Ryosuke Nakajima,Toshiyuki Matsumoto 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.1
Many tasks are currently automated in the manufacturing field, but some are still performed by workers, which require technical knowledge and skills. However, it is difficult for a new worker to learn skills that require precise motion and extensive experience. Conventional on-the-job training (OJT) has a problem, which is the difficulty of defining and evaluating a correct task. Therefore, this study aimed to visualize the proper skills and their effects on quality in metallic painting operations, and to design the concept for a skill training system. Product quality depends on a worker’s motion and the effects of tools. To train a skill based on these factors, it is necessary to visualize the proper skill and to devise a method of training. Therefore, changes to a worker’s motion and the quality of products were visualized using a motion capture (MOCAP) system and three-dimensional computer graphics (3DCG) software. Furthermore, such a system requires a trainee to experience the proper motion and to evaluate his or her skills. The motion of two skilled workers was therefore analyzed to extract their skills as explicit knowledge. The skilled workers’ motion was measured using the MOCAP system. The obtained data were then analyzed as positional and rotational data in three axes for each motion of the main parts of the body. Consequently, 11 types of skills were extracted by analyzing the data. Then, an experiment was conducted to visualize the quality of the metallic painting operation using film thickness as an index. Seven factors for film thickness were extracted, and these were quantified in the experiment. Moreover, these factors were applied to 3DCG, and the film thickness was reproduced by simulation. As the result of a statistical test, the reproducibility of the film thickness was guaranteed in 3DCG. Based on the results, a training system was designed for to enable a new worker to learn the skill.
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Ryosuke Nakajima,Yuta Asano,Takuya Hida,Toshiyuki Matsumoto 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.1
This study focuses on adhered dirt such as dust on a product in production process, and considers the relationship between dirt levels of inspection surface and defect detection in visual inspection utilizing peripheral vision. Specifically, images of an inspection surface in an actual factory are analyzed using image analysis for modeling dirt. Moreover, dirt levels of inspection surface, defect locations, and defect characteristics (luminance contrast, size, and bright-dark defects) are designed as experimental factors, and their effect on defect detection rate is evaluated. As a result, it is clarified that the defect detection rate suddenly reduces as the inspection surface becomes dirtier. Consequently, the defects that can be detected easily becomes harder to detect, as the inspection surface is dirtier in visual inspection utilizing peripheral vision.
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Dynamic Chest X-Ray Using a Flat-Panel Detector System: Technique and Applications
Hata Akinori,Yamada Yoshitake,Tanaka Rie,Nishino Mizuki,Hida Tomoyuki,Hino Takuya,Ueyama Masako,Yanagawa Masahiro,Kamitani Takeshi,Kurosaki Atsuko,Sanada Shigeru,Jinzaki Masahiro,Ishigami Kousei,Tomiy 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.4
Dynamic X-ray (DXR) is a functional imaging technique that uses sequential images obtained by a flat-panel detector (FPD). This article aims to describe the mechanism of DXR and the analysis methods used as well as review the clinical evidence for its use. DXR analyzes dynamic changes on the basis of X-ray translucency and can be used for analysis of diaphragmatic kinetics, ventilation, and lung perfusion. It offers many advantages such as a high temporal resolution and flexibility in body positioning. Many clinical studies have reported the feasibility of DXR and its characteristic findings in pulmonary diseases. DXR may serve as an alternative to pulmonary function tests in patients requiring contact inhibition, including patients with suspected or confirmed coronavirus disease 2019 or other infectious diseases. Thus, DXR has a great potential to play an important role in the clinical setting. Further investigations are needed to utilize DXR more effectively and to establish it as a valuable diagnostic tool.
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