The number of earthquakes is increased recently. A electrical equipment is very important in all electric system because it can make a serious problems in such as nuclear power plants like a black out. So, seismic safety design of electrical equipment is necessary to keep to use the convenience of electronics. In this study, threshold values of electronic equipment was founded out from the numerical results by using seismic load.

A image defect detecting vision system for the automatic optical inspection of wafer has been developed. For the successful detection of various kinds of defects, the performance of two threshold selection methods are compared and the improved Otsu method is adopted so that it can handle both unimodal and bimodal distributions of the histogram equally well. An automatic defect detection software for practical use was developed with the function of detection of ROI, fast thresholding and area segmentation. Finally each defect pattern in the wafer is classified and grouped into one of user-defined defect categories and more than 14 test wafer samples are tested for the evaluation of detection and classification accuracy in the inspection system.

변형강도(SD)는 고온에서 아스팔트 혼합물의 소성변형특성과 상관관계가 높은 특성이며, APA 시험기는 아스팔트 혼합물의 소성변형저항성 평가에 널리 이용된다. 따라서 SD를 이용한 아스팔트 혼합물의 소성변형저항성 추정에 상응하는 값으로 APA 시험 결과가 사용되었으며 SD와 APA의 상관관계를 설정하기 위하여 많은 데이터가 수집되었다. 아스팔트 공시체를 60℃에 30분간 수침한 후 50mm/min의 하중을 가하여 최대하중 P와 그때의 수직변형 y로 부터 SD를 계산하였다. 같은 혼합물에 대하여 APA 시험도 수행되었다. APA 침하깊이와 SD간의 회귀분석을 수행하여 R2=0.76이 얻어졌다. 이는 변형강도 시험이 아스팔트 혼합물의 고온변형 저항성을 추정 가능한 시험법임을 암시하는 것이다. 또한 회귀분석 모델을 이용하여 특정 등급도로의 표층 및 기층 혼합물 SD의 임계값을 설정할 수 있음을 보였다. 이를 더 정교하게 연구하면 이 임계치는 특정층 포장혼합물의 하한치로 이용될 수 있을 것이다.

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

Maintenance of plant facilities are becoming important due to lots of recent plant construction. While maintenance of plant facilities are performed, maintenance of plant structures are usually not carried out properly. In this paper, measurement threshold estimation algorithm is developed for maintenance of pipe-rack structure. Currently, field verification of the developed algorithm is being performed on a real pipe-rack structure.