• Korean Journal of Acupuncture
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• 제32권3호
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• pp.124-129
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• 2015

Objectives : The purpose of this study is to understand truncus area conception to be explained in the pyobon and geungyul (Root-Stem and Origin-End relationships; PG) of meridian theory as to do the macro organic spatial conception in bio-mechanic system for human body. Methods : The extremity areas and truncus area to be explained in PG theories were classified spatially, and the reason was discussed that human body was classified as the extremities and truncus areas for the people of old times. It was considered the structural characteristics, exercise species and movement characteristics of truncus area in human body also. Results : The truncus area were made of cranium, vertebrae, sternum, ribs, clavicle, scapula, sacrum and the hipbone. It was the hollow structure and classified as cranial cavity, pleural cavity(thoracic cavity) and pelvic cavity. These cavities had mutually organic relationships, and because of cavity structures in the truncus and full structures in extremities would act in different direction about gravity with each other for movements. So it would be estimated that the old peoples had to need to separate the truncus and the extremities. Conclusions : In this study, the truncus area and the extremity areas in the PG of meridian theory could be recognized as the spatial conception of bio-mechanic system in human body. Although this study was the theoretical study not to be proven, it will be used to understand for the meridian theory as basic reference for spatial conception and bio-mechanic system.

• Journal of Biosystems Engineering
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• 제32권1호
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• pp.44-49
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• 2007

A stereo vision system was developed for robot milking system (RMS) using two monochromatic cameras. An algorithm for inverse perspective transformation was developed for the 3-D information acquisition of all teats. To verify performance of the algorithm in the stereo vision system, indoor tests were carried out using a test-board and model teats. A real cow and a model cow were used to measure distance errors. The maximum distance errors of test-board, model teats and real teats were 0.5 mm, 4.9 mm and 6 mm, respectively. The average distance errors of model teats and real teats were 2.9 mm and 4.43 mm, respectively. Therefore, it was concluded that this algorithm was sufficient for the RMS to be applied.

• 한국정보통신학회논문지
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• 제25권12호
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• pp.1935-1941
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• 2021

최근 다양한 분야에 적용되고 있는 딥러닝을 활용한 알고리즘 개발을 위해서는 양질의 풍부한 학습데이터가 갖춰져야 한다. 본 논문은 딥러닝 알고리즘 개발 시 활용도가 높고 정보 도출 시 유용한 광학 영상, 열화상, 음성 등의 생체신호 데이터를 동시에 수집하여 서버에 전송하는 생체신호 수집시스템을 제안한다. 수집기의 이동성을 높이기 위해 라즈베리 파이를 기반으로 제작하였고, 수집한 데이터는 무선 인터넷을 통해 서버로 전송한다. 복수의 수집기에서 동시에 데이터 수집이 가능하도록 피실험자별로 로그인을 위한 아이디를 부여했고, 이를 데이터베이스에 반영하여 데이터 관리가 용이하게 하였다. 제안하는 수집시스템의 활용방안을 보이기 위해 피로도 측정을 위한 생체신호 데이터 수집의 예시를 보인다.