In this work, a PAM(Plasma Assisted Machining) technology was applied to milling of high manganese steel, a typical hard-to-machine materials. For this purpose, a transferred type of arc plasma torch was coupled with a 3-axis milling machine, then, used to heat and soften the surface of a high manganese steel plate in front of a 16 mm end mill with 2 blades and hard coatings. From the test results, it was concluded that the cutting load can be significantly reduced down to 57 % by plasma heating with the power level of 3.9 kW, ensuring the improvement of tool life and surface roughness in milling of high manganese work pieces.

본 논문에서는 유통 농산물 잔류농약 부적합 현황 분석을 위하여 네트워크 분석 기법을 적용하였다. 분석용 데이터는 『2017년도 식품안전관리지침』내 “유통농산물별 잔류농약 부적합 현황”을 참고하였으며, 주요 분석 기법 으로는 중심성 분석(연결정도 중심성, 근접 중심성, 매개 중심성)을 적용하였다. 연결정도 중심성 분석결과 chlorpyrifos와 diazinon에서 “연결된 노드”가 가장 많은 것으로 확인되었다. 근접 중심성에서는 19종을 제외한 농약성분들 사이에서 유사한 정도를 보여주고 있었다. 매개 중심 성 분석 결과에서는 fluioxonil과 chlorpyrifos가 가장 높은 경향을 보여주어 이들이 농약성분 네트워크에서 “가교” 역 할을 수행 하는 것으로 파악되었다. 네트워크 분석 결과, 기존의 통계분석을 통해서는 분석 할 수 없었던 농약성분 들 사이의 “관계” 데이터를 확인 할 수 있었다. 향후 이러한 분석기법은 최적화/정교화 과정을 통해서 보다 정밀하게 농약성분 부적합 현황 분석을 위한 도구로서 적용되리라 기대한다.

Near Infra-red (NIR) analytical method was applied to quantify fat, moisture, protein, and salt in meat products. To ensure an accurate analysis, the NIR analysis method was compared with Korean food standard codex method. Correlation coefficients were 0.961-0.997, and the ratio of standard error of prediction (SEP) with standard error of laboratory (SEL) were 1.01-1.32. Z-score and Q score were −0.02-0.95 and −0.27-0.15, respectively. A control chart was conducted for three meat products. Each control chart data consisted of fat, moisture, protein, and salt, and it was produced by NIR analysis. The control chart of meat products was used for quality control.

In this paper, we introduce a robot-assisted medical diagnostic system that enables remote ultrasound (US) imaging to be applied to the conventional telemedicine, which has been possible only with interviewing or a visual exam. In particular, a master-slave robot system is developed that ultrasonic diagnosis specialist can control the position and orientation of US probe in the remote place. The slave robot is designed to be compact, lightweight, and hand-held so that it can easily transfer to the remote healthcare center. Moreover, 6-degree-of-freedom (DOF) probe motion is possible by the robot design based on Stewart platform. The master device is also based on a similar structure of the slave robot. To connect master and slave system in the wide area network (WAN) environment, a hardware CODEC was developed. In this paper, we introduce the detail of each component and the results of the recent experiments conducted in the remote sites by the developed robotic ultrasound imaging system.