Magnetic abrasive finishing process is one of the advanced finishing technique, which is commonly used to improve the surface accuracy and dimensional of many products in various application such as for medical implant, automotive, electrical, and IT, etc. In this study, the MAF process using rotating magnetic field with flexible processing force is used to smooth the surface of STS 316L stents wire under the optimal conditions such as rotating speed: 150, 350, 600rpm; diamond grain size: 1, 3, 6-μm, and processing time: 20, 40, 60, 80min. The results showed that under the processing conditions, quality enhancement in surface accuracy of STS 316L stent wire is achieved, in which the surface roughness is reduced from 0.22 to 0.06-μm.

The accuracy of satellite-observed sea surface salinity (SSS) was evaluated in comparison with in-situ salinity measurements from ARGO floats and buoys in the seas around the Korean Peninsula, the northwest Pacific, and the global ocean. Differences in satellite SSS and in-situ measurements (SSS errors) indicated characteristic dependences on geolocation, sea surface temperature (SST), and other oceanic and atmospheric conditions. Overall, the root-mean-square (rms) errors of non-averaged SMOS SSSs ranged from approximately 0.8-1.08 psu for each in-situ salinity dataset consisting of ARGO measurements and non-ARGO data from CTD and buoy measurements in both local seas and the ocean. All SMOS SSSs exhibited characteristic negative bias errors at a range of −0.50- −0.10 psu in the global ocean and the northwest Pacific, respectively. Both rms and bias errors increased to 1.07 psu and −0.17 psu, respectively, in the East Sea. An analysis of the SSS errors indicated dependence on the latitude, SST, and wind speed. The differences of SMOS-derived SSSs from in-situ salinity data tended to be amplified at high latitudes (40-60°N) and high sea water salinity. Wind speeds contributed to the underestimation of SMOS salinity with negative bias compared with in-situ salinity measurements. Continuous and extensive validation of satellite-observed salinity in the local seas around Korea should be further investigated for proper use.

본 연구는 기상청의 기상레이더 관측망을 이용한 하이브리드 고도면 강우추정 기법 기반의 새로운 정량적 합성강수량 추정 방법을 제시한다. HSR기법은 지형클러터, 빔차폐, 비 기상 에코 및 밝은 띠의 영향을 받지 않는 하이브리드 고도면의 반사도를 합성하는 것이 특징이다. HSR 합성반사도는 정적 HSR (STATIC)과 단일편파레이더에 대한 퍼지로직 기법과 이중편파레이더에 대한 시선방향 질감 기반의 품질관리 절차를 사용하는 동적 HSR (DYNAMIC) 합성으로 구분된다. STATIC과 DYNAMIC은 2014년 5월부터 10월까지 10개의 강우 사례에 대해 기상청 현업용 합성강우 (MOSAIC)와 비교검증 하였다. 차폐 영역에서 STATIC, DYNAMIC, MOSAIC의 상관계수는 각각 0.52, 0.78, 0.69이며 평균 상대 오차는 각각 34.08, 30.08, 40.71%로 분석되었다.

This study analyzed the velocimetry of runoff and measured the flood discharge by applying the SIV (Surface Image Velocimetrer) to the daytime and nighttime flow image data with special reference to Seong-eup Bridge at Cheonmi stream of Jeju during the flow by the severe rainstorm on May 27, 2013. A 1000W lighting apparatus with more than 150 lux was installed in order to collect proper nighttime flow image applied to the SIV. Its value was compared and analyzed with the velocity value of the fixed electromagnetic wave surface velocimetry (Kalesto) at the same point to check the accuracy and applicability of the measured velocity of flow. As a result, determination coefficient R2 values were 0.891 and 0.848 respectively in line with the velocity distribution of the daytime and nighttime image and the flow volume measured with Kalesto was approximately 18.2% larger than the value measured with the SIV.