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딥러닝 기법을 활용한 레이저 초음파 기반 배관 국부 손상 감지
유병준 ( Yu Byoungjoon ),고동영 ( Go Dongyoung ),박승희 ( Park Seunghee ) 한국구조물진단유지관리공학회 2021 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.25 No.2
본 연구에서는 사회기반시설물과 건설 산업 외에 여러 산업에서도 많이 사용되는 배관의 효율적인 안전관리를 위해 배관 레이저 스캐닝 데이터를 기반으로 CNN Object detection 알고리즘을 이용한 배관 곡관부 자동 손상 탐지 시스템을 제안하였다. Q-switched Nd:YAG Pulse laser와 AE(음향 방출) Sensor를 이용하여, 배관 곡관부 손상을 대상으로 UWPI 영상 데이터를 검출하였다. 후처리를 통해 총 1280장의 학습데이터를 활용해 손상 검출 시스템을 구축하였다. 1280장의 이미지 데이터로는 학습을 진행하기에 부족함으로 미리 학습된 COCO2017 EfficientDet-d0 알고리즘을 사용하는 Transfer learning 기법을 적용하였다.
홍성우,김기환,남문현 世明大學校 1998 世明論叢 Vol.7 No.-
In this paper, veneral methods using autoregressive model inthe functional separation of the myoelecric signal of human arm movements are suggested. Covariance method and sequential least squares algorithm were used to determine the model parameters and the order of signal model to describe six arm movement patterns; the forearm flexion and extension, the wrist pronation adn supination, rotation in and rotation out. The confidence interval to classify the functions of arm movement was defined by the mean and standard deviation of total squares eror. With the error signals of sutoregressive(AR) model, the result showed that the highest success rate was obtained in the case of 4th order, and success rate was decreased with increase of order. This technique might be applied to biomedical-and rehabilitation engineering.
朴一均,許琨,李圭雄,李和東,洪聖宇 대한신경외과학회 1972 Journal of Korean neurosurgical society Vol.1 No.1
We have studied 30 cases of intracrainal tumor patients, who were admitted and managed at neurosurgical department from Sept. 1969 to Aug. 1971, in aspect of clinical and laboratory points, and also have compared with other articles. All cases were explored surgically and diagnosis of tumor was made through histological examination. Of 30 cases of intracranial tumors, 8 cases of glioma, 5 cases of metastatic tumor, meningioma and acousatic neuroma, respectively were found. We have studied those cases through clinical and Laboratory aspect, including the C.S.F. analysis and intracranial angiography in comparison with previous reports. The frequency orders of type of tumor are glioma, metastatic tumor, meningioma and a coustic neuroma. The 2/3 cases are between 20 and 50 years in age, and the ratio of sex is more frequent in man twicely than female. Headache, nausea & vomiting and mental symptoms are chief complaints in majority cases. In plain skull X-ray examination, we find phatological finding in 17 cases. The angiography is superior in diagnosis of intracranial tumor then other laboratory examinations. We felt sorry for fail report of. these patient's prognosis because of poor follow up studies on nowadays.