복제수정란 생산에 있어서 수핵란 내 체세포 주입 후 전기적인 융합은 필수과정인데, 이 과정을 거치는 동안 많은 수의 체세포 주입 난자가 융합에 실패하거나 lysis가 일어나게 된다. 본 실험에서는 한우 체세포를 이용하여 핵이식을 실시한 후 수핵세포질과 응합을 시도할 때 전기융합 방법에 따른 융합율과 배발달율을 검토하고자 실시하였다. 공여세포는 한우 귀 세포조직을 채취하여 0.05% trypsin과 EDTA가 첨가된 D-PBS로 세포를 분리한 후 DMEM

A dynamic displacement estimation system is developed by integrating laser Doppler vibromter (LDV) and light detection and ranging (LiDAR). The system includes hardware level integration for simultaneous measurement of two devices and data fusion of two measurement signals based on Kalman filter smoothing algorithms. For hardware integration of two devices, the laser beam directions and the triggering of measurement of LDV and LiDAR are controlled on the level of built-in commands of the devices. The distance data sequentially measured by LiDAR is converted to dynamic displacement of high noise and low sampling rate, and fused with the velocity measured by LDV which has high sampling rate and low noise but accumulated bias error when integrated. Using the Kalman filter based data fusion algorithm, it is able to estimate dynamic displacement in which the drawbacks of two devices are effectively removed. The proposed system is applied to a dynamic loading test on a highway bridge and the performance is verified.