• 한국산업보건학회지
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• 제27권2호
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• pp.123-129
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• 2017

Objectives: The purpose of this study is to enhance the application of analytical method of polar solvents(alcohols) by GCOTC (gas chromatography open tubular column) through the system suitability test(SST) to estimate the whole chromatographic system performance(integral part). Methods: To perform the SST, carried out repeatability(n=6) as analytical method of polar solvents by GCOTC, got the retention time($t_R$), standard deviation(${\sigma}_{n-1}$) of $t_R$, baseline width($w_b=4{\sigma}_{n-1}$) and calculated dead time($t_m$) by $v_m=d^2{\pi}L(f/4)$ and $v_m=t_m$ x flow rate. Results: In this experiment, obtained the basic data, there were $t_m=2$ min, methanol($t_R=3.569$, ${\sigma}_{n-1}=0.01$, $w_b=0.04$), ethanol ($t_R=3.892$, ${\sigma}_{n-1}=0.004$, $w_b=0.016$), isopropanol($t_R=4.209$, ${\sigma}_{n-1}=0.004$, $w_b=0.016$). By using these data, calculated the corrected retention time($t_R{^{\prime}}$), capacity factor(k), separation factor(${\alpha}$), number of theoretical plate(n) and resolution($R_s$) for SST and got the good results. Conclusions: Through the SST, could reconfirm the whole chromatographic performance system(integral part) for analytical method of polar solvents by GCOTC. Therefore, this analytical method expect to be widely applied at the related areas.

• 한국전자통신학회논문지
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• 제10권5호
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• pp.629-636
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• 2015

본 논문는 인공어초 조성의 가장 기본적인 요소인 적지선정을 위한 방법에 대해 고찰하였다. 현장관측과 위성 원격탐사(Remote Sensing, RS)로 획득한 자료를 지리정보시스템(Geographic Information System, GIS)을 활용하여 분석하였다. 한반도 주변해역의 해양환경 특성을 파악하기 위해 물리적 조건-해저저질, 수심, 생물적 조건-클로로필-${\alpha}$, 화학적 조건-해수온, DO를 활용하였다. 인공어초 적지로는 태안반도, 거제, 완도, 포항, 서천 등이 나타났다. 향후 본 연구는 인공어초 설치의 효율적인 활용뿐만 아니라 종합적인 데이터베이스의 구축에 도움을 줄 수 있을 것이다. 또한 인공어초 시설관리의 기초자료로 활용할 수 있을 것으로 기대된다.

• Korea-Australia Rheology Journal
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• 제21권1호
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• pp.1-12
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• 2009

This paper reports the suitability of a domain decomposition technique for the hybrid simulation of dilute polymer solution flows using Eulerian Brownian dynamics and Radial Basis Function Networks (RBFN) based methods. The Brownian Configuration Fields (BCF) and RBFN method incorporates the features of the BCF scheme (which render both closed form constitutive equations and a particle tracking process unnecessary) and a mesh-less method (which eliminates element-based discretisation of domains). However, when dealing with large scale problems, there appear several difficulties: the high computational time associated with the Stochastic Simulation Technique (SST), and the ill-condition of the system matrix associated with the RBFN. One way to overcome these disadvantages is to use parallel domain decomposition (DD) techniques. This approach makes the BCF-RBFN method more suitable for large scale problems.