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직선형 프로세스 파이프 내면 오버레이 GTAW 용접시스템 개발
은종목,이영규,Eun, Jong-Mok,Lee, Young-Kyu 대한용접접합학회 2014 대한용접·접합학회지 Vol.32 No.2
In this research, GTA overlay welding system is developed for inside of straight pipes in various diameter. It can be applied to oil, ship building and plant industry, especially pipes connected to pressure vessels, for the purpose of cost reduction by cladding inside of pipes with corrosion and heat resistant alloys such as stainless steel or Inconel. Developed system consists of GTA power source, torch, wire feeding system, automatic arc length adjusting device, CCD camera and cooling unit. Two types of pipe inside overlay welding system are developed. One is for maximum 3m pipe length with 3 inch ~ 12 inch pipe outer diameter. Another type can be applied to maximum 12m pipe length with 7 ~ 24 inch OD. Developed system successfully produced inside cladded pipe and the results are shown through cross sectional images of the pipes.
펄스 출력 구현이 가능한 디지털 제어의 SCR형 CO2 용접시스템의 개발
은종목,최규하 대한용접접합학회 2014 대한용접·접합학회지 Vol.32 No.1
SCR(Thyristor) type CO2 welders have widely used for the welding process of heavy industries such asshipbuilding and plant. Since the industrial fields of shipbuilding and plant are usually exposed to severewelding condition with lots of dust, extreme temperature, high humidity and vibration, it is not recommendedto use inverter type welder despite its state-of-the-art technology. Many sophisticated functions in theinverter welder may not work due to malfunction of its sensitive components. Hence this study focused ondigitalization of SCR CO2 welder by making use of microprocessor for SCR phase control. By thisapplication, fine control of output of the CO2 welding systems is achieved. Also pulse output mode ofoperation is realized and its verification is carried out with aluminum sample welding. The experimentalresults showed sound weld bead. The front operation panel provide user with numerical parameter settingsand monitors. It will help precise weld process monitoring and control with digital value.
펄스 출력 구현이 가능한 디지털 제어의 SCR형 CO<sub>2</sub> 용접시스템의 개발
은종목,최규하,Eun, Jong-Mok,Choe, Gyu-Ha 대한용접접합학회 2014 대한용접·접합학회지 Vol.32 No.1
SCR(Thyristor) type $CO_2$ welders have widely used for the welding process of heavy industries such as shipbuilding and plant. Since the industrial fields of shipbuilding and plant are usually exposed to severe welding condition with lots of dust, extreme temperature, high humidity and vibration, it is not recommended to use inverter type welder despite its state-of-the-art technology. Many sophisticated functions in the inverter welder may not work due to malfunction of its sensitive components. Hence this study focused on digitalization of SCR $CO_2$ welder by making use of microprocessor for SCR phase control. By this application, fine control of output of the $CO_2$ welding systems is achieved. Also pulse output mode of operation is realized and its verification is carried out with aluminum sample welding. The experimental results showed sound weld bead. The front operation panel provide user with numerical parameter settings and monitors. It will help precise weld process monitoring and control with digital value.
은성종,박종목,김계환 대한배뇨장애요실금학회 2022 International Neurourology Journal Vol.26 No.1
Purpose: This paper proposes a technological system that uses artificial intelligence to recognize and guide the operator to the exact stenosis area during endoscopic surgery in patients with urethral or ureteral strictures. The aim of this technological solution was to increase surgical efficiency. Methods: The proposed system utilizes the ResNet-50 algorithm, an artificial intelligence technology, and analyzes images entering the endoscope during surgery to detect the stenosis location accurately and provide intraoperative clinical assistance. The ResNet-50 algorithm was chosen to facilitate accurate detection of the stenosis site. Results: The high recognition accuracy of the system was confirmed by an average final sensitivity value of 0.96. Since sensitivity is a measure of the probability of a true-positive test, this finding confirms that the system provided accurate guidance to the stenosis area when used for support in actual surgery. Conclusions: The proposed method supports surgery for patients with urethral or ureteral strictures by applying the ResNet-50 algorithm. The system analyzes images entering the endoscope during surgery and accurately detects stenosis, thereby assisting in surgery. In future research, we intend to provide both conservative and flexible boundaries of the strictures.
Development and Evaluation of Urolithiasis Detection Technology Based on a Multimethod Algorithm
박종목,은성종,나용길 대한배뇨장애요실금학회 2023 International Neurourology Journal Vol.27 No.1
Purpose: In this paper, we propose an optimal ureter stone detection model utilizing multiple artificial intelligence technologies. Specifically, the proposed model of urinary tract stone detection merges an artificial intelligence model and an image processing model, resulting in a multimethod approach. Methods: We propose an optimal urinary tract stone detection algorithm based on artificial intelligence technology. This method was intended to increase the accuracy of urinary tract stone detection by combining deep learning technology (Fast R-CNN) and image processing technology (Watershed). Results: As a result of deriving the confusion matrix, the sensitivity and specificity of urinary tract stone detection were calculated to be 0.90 and 0.91, and the accuracy for their position was 0.84. This value was higher than 0.8, which is the standard for accuracy. This finding confirmed that accurate guidance to the stones area was possible when the developed platform was used to support actual surgery. Conclusions: The performance evaluation of the method proposed herein indicated that it can effectively play an auxiliary role in diagnostic decision-making with a clinically acceptable range of safety. In particular, in the case of ambush stones or urinary stones accompanying ureter polyps, the value that could be obtained through combination therapy based on diagnostic assistance could be evaluated.
New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases
오진규,이준영,은성종,박종목 대한배뇨장애요실금학회 2022 International Neurourology Journal Vol.26 No.4
Artificial intelligence (AI) is used in various fields of medicine, with applications encompassing all areas of medical services, such as the development of medical robots, the diagnosis and personalized treatment of diseases, and personalized healthcare. Medical AI research and development have been largely focused on diagnosis, prediction, treatment, and management as an auxiliary means of patient care. AI is mainly used in the fields of personal healthcare and diagnostic imaging. In urology, substantial investments are being made in the development of urination monitoring systems in the personal healthcare field and diagnostic solutions for ureteral stricture and urolithiasis in the diagnostic imaging field. This paper describes AI applications for urinary diseases and discusses current trends and future perspectives in AI research.