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송성진,오치환 조선대학교 생산기술연구소 1995 生産技術硏究 Vol.17 No.2
Steel industry customers demand consistently high quality steel strip surfaces. Automatic on-line surface inspection systems have been applied for monitoring as well as enhancing strip surface quality. One of the important issues in the application of this type of equipments is the performance of the on-line defect classifier. In this work probabilistic neural networks have shown very excellent performance as the most promissing classifiers for classification of surface defects on colled rolled strips.
송성진 연세대학교 산업기술연구소 1989 논문집 Vol.21 No.2
The demand for facilities to care for the elderly will be increased dramatically in the near future. But there are not enough source of general information for those facilities, especially for Nursing Home. This case study would be good reference material for understanding of some of the latest nursing home facility in Canada, which tried to analize of design concept and synthesis the nature of Nursing Home facilities.
원주파를 이용한 복합재 연소관의 비파괴 평가 기법 연구
송성진 기계기술연구소 1999 성균관대학교 논문집 기계기술편 Vol.1 No.1
For structural integrity evaluation of composite rocket motor cases, acoustic emission (AE) during hydroproof test is currently used. For the suitable performance of this test, it is very important to determine the optimal component of elastic waves to be monitored. In this study, the optimum component of circumferential wave that propagate in the circumferential direction of the composite motor case has been determined experimentally. Then its potential to be served as a robust tool for nondestructive evaluation of composite motor cases were demonstrated by investigating the initial performances for flaw detection and AE source location.