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Computer simulation for seam tracking algorithm using laser vision sensor in robotic welding
정택민,성기은,이세헌,Jung, Taik-Min,Sung, Ki-Eun,Rhee, Se-Hun Korean Society of Laser Processing 2010 한국레이저가공학회지 Vol.13 No.2
It is very important to track a complicate weld seam for the welding automation. Very recently, laser vision sensor becomes a useful sensing tool to find the seams. Until now, however studies of welding automation using a laser vision sensor, focused on either image processing or feature recognition from CCD camera. Even though it is possible to use a simple algorithm for tracking a simple seam, it is extremely difficult to develop a seam-tracking algorithm when the seam is more complex. To overcome these difficulties, this study introduces a simulation system to develop the seam tracking algorithm. This method was verified experimentally to reduce the time and effort to develop the seam tracking algorithm, and to implement the sensing device.
유소년 스포츠클럽의 브랜드 이미지, 확장브랜드의 적합성 및 브랜드 태도간의 관계
정택민(Jung Taek-Min),한진욱(Han Jin-Wook),김종백(Kim Jong-Back) 한국체육과학회 2011 한국체육과학회지 Vol.20 No.2
The purpose of this study was to examine the relationships among brand image of a youth sports club, perceived fit of brand extension, and attitude toward a brand extension. A total of 240 guardians from a youth sports club was selected using a convenient sampling method. Finally, 231 usable questionnaires were returned to the researchers. Data analyses were conducted with PASW Statistics 18. The results of this study indicated that (1) brand image of a youth sports clubs had a significant influence on perceived fit of brand extension and, in turn, (2) perceived fit of a brand extension had a significant impact on attitude toward a brand extension. Practical implications of findings were discussed.
Performance testing of a FastScan whole body counter using an artificial neural network
조문형,원유호,정택민 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.8
In Korea, all nuclear power plants (NPPs) participate in annual performance tests including in vivo measurements using the FastScan, a stand type whole body counter (WBC), manufactured by Canberra. In 2018, all Korean NPPs satisfied the testing criterion, the root mean square error (RMSE) 0.25, for the whole body configuration, but three NPPs which participated in an additional lung configuration test in the fission and activation product category did not meet the criterion. Due to the low resolution of the FastScan NaI(Tl) detectors, the conventional peak analysis (PA) method of the FastScan did not show sufficient performance to meet the criterion in the presence of interfering radioisotopes (RIs), 134Cs and 137Cs. In this study, we developed an artificial neural network (ANN) to improve the performance of the FastScan in the lung configuration. All of the RMSE values derived by the ANN satisfied the criterion, even though the photopeaks of 134Cs and 137Cs interfered with those of the analytes or the analyte photopeaks were located in a low-energy region below 300 keV. Since the ANN performed better than the PA method, it would be expected to be a promising approach to improve the accuracy and precision of in vivo FastScan measurement for the lung configuration