• Polymer(Korea)
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• v.26 no.5
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• pp.589-598
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• 2002

thiathlophene (EDiTT) was synthesized. The yield of the synthesis was about 29%. The monomer was identified by using NMR, IR and UV/Vis spectroscopic methods. Poly (3,4-ethylenedithiathiophene) (PEDiTT) was prepared using this monomer and FeCl$_3$. The deep blue green color of the product was changed into brown color by the reduction with $N_2$H$_4$. This was soluble to common organic solvents. Spectroelectrochemistry was used to characterize the PEDiTT. NMP was the best solvent for PEDiTT. PEDiTT/NMP solution was used for making SAM type thin film of the polymer on gold electrode. Electrochemical and IR spectroscopic methods were used to identify the thin film.

• Korean Journal of Remote Sensing
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• v.32 no.3
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• pp.235-244
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• 2016

In large-area crop classification with MODIS data, a mixed pixel problem caused by the low resolution of MODIS data has been one of main issues. To mitigate this problem, this paper proposes a hierarchical classification algorithm that selectively classifies the specific crop class of interest by using their spectral characteristics. This selective classification algorithm can reduce mixed pixel effects between crops and improve classification performance. The methodological developments are illustrated via a case study in Jilin city, China with MODIS Normalized Difference Vegetation Index (NDVI) and Near InfRared (NIR) reflectance datasets. First, paddy fields were extracted from unsupervised classification of NIR reflectance. Non-paddy areas were then classified into corn and bean using time-series NDVI datasets. In the case study result, the proposed classification algorithm showed the best classification performance by selectively classifying crops having similar spectral characteristics, compared with traditional direct supervised classification of time-series NDVI and NIR datasets. Thus, it is expected that the proposed selective hierarchical classification algorithm would be effectively used for producing reliable crop maps.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.98-98
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• 2017

대부분의 가정과 요식업체, 식품가공업계에서 이용하고 있는 식용유지는 저장 및 가공과정 중에 산패가 빈번하게 일어나게 된다. 기존에는 유지 산패를 측정하기 위해 산가, 과산화물가 등을 측정하는 이화학적인 적정방법을 이용하였는데 실험자의 숙련도에 따라 결과의 오차가 발생할 수 있고, 반복실험으로 인한 시간과 비용이 많이 소모되는 등 여러 제약사항을 포함하고 있어 식용유지의 산패를 실시간 비파괴적으로 분석할 수 있는 기술의 개발에 많은 관심이 모아지고 있다. 따라서, 본 연구에서는 식용유지의 저장조건에 따른 산패정도를 비파괴적으로 평가하기 위한 근적외선 분광분석과 인공신경망 분석기술을 개발하여 그 실효성을 평가하였다. 식물성 식용유지인 들기름을 특정 온도에서 일정한 시간동안 저장하면서 이화학적 적정방법을 통해 산가와 과산화물가를 측정하였으며 동일한 시료의 근적외선 투과스펙트럼을 획득하였다. 수집된 정보를 이용하여 유지 산패 예측 모델을 개발하기 위해 다변량 분석기법 (주성분 회귀분석, 최소자승 회귀분석과 인공신경망 분석)을 적용하였다. 분석 결과, 인공신경망 분석모델이 산가 ($R^2_{tra}:0.9037$, $R^2_{val}:0.8175$, $R^2_{test}:0.8555$)와 과산화물가 ($R^2_{tra}:0.9210$, $R^2_{val}:0.9341$, $R^2_{test}:0.8286$)의 예측 성능이 가장 우수한 것으로 확인되었다. 본 연구의 결과들은 농산물과 식품의 성분 측정뿐만 아니라 다른 산업분야에서도 유용하게 활용될 수 있을 것으로 기대되어진다.

• Proceedings of the Optical Society of Korea Conference
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• 2002.07a
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• pp.92-93
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• 2002

선형 및 비선형 광학 특성이 뛰어난 것으로 잘 알려진 LiNbO$_3$ (LN) 및 $K_3$Li$_2$Nb$_{5}$O$_{15}$ (KLN) 단결정을 원료분말의 조성 등과 같은 결정성장 조건을 달리하여 Czochralski 방법으로 성장시켰다. LN과 KLN 단결정의 경우 성장온도가 고온이기 때문에 Li, K 이온의 휘발에 의해 성장된 결정의 조성은 원료분말의 조성과 다르다. 따라서 성장된 단결정의 조성을 분석하는 것은 응용을 위해 매우 중요한 일이다. (중략)

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.570-570
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• 2012

그래핀(graphene)은 육각형의 탄소원자 한층으로 이루어진 이차원 구조체로써 우수한 물리적, 전기적 특성으로 인해 다양한 분야에서 응요을 위한 연구가 활발히 진행되고 있다. 특히, 그래핀과 금속 나노입자의 복합구조는 수소 저장체, 가스센서, 연료전지, 화학 촉매등의 다양한 분야에서 응용이 가능하다. 현재까지 그래핀/금속나노입자 복합구조의 제작 방법에는 열증발(thermal evaporation), 전기도금법(electrodeposition), 표면 기능화(surface functionalization)를 이용한 방법이 보고되었다. 하지만 이러한 방법은 긴 공정시간이 요구되며, 나노입자의 크기 분포가 넓다는 단점을 지닌다. 본 연구에서는 화학기상증착법을 통해 합성된 그래핀이 전사된 SiO2 (300nm)/Si 기판에 염화기가 포함된 백금 화합물 분산용액을 스핀코팅(spin-coating)하고 MeV 전자빔을 조사하여 Pt/grapheme 복합구조를 형성하였다. 이 방법은 균일한 크기 분포의 나노입자의 형성이 가능하며, 간단하고, 대면적 공정이 가능하며, 다른 방법에 비해 그래핀의 결함형성이 적다는 장점을 지닌다. Pt/grapheme 의 기하학적 구조를 주사전자현미경(scanning electron microscopy)와 투과전자현미경(transimission)을 통해 분석하였고, Pt와 graphene의 일함수(workfunction)의 차이에 의해 야기되는 전하이동에 의한 도핑(doping)현상을 라만 분광기(Raman spectroscopy)와 X-선 광전자 분광기(X-ray photoelectron spectroscopy)를 통해 분석하였다.

• Journal of the Mineralogical Society of Korea
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• v.22 no.4
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• pp.407-415
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• 2009

The change of the nitrogen-related centers and the color change of electron beam irradiated type Ia natural diamonds were studied. The irradiation of diamond with high-energy electron beam creates lattice defects which are neutral single vacancy $V^0$. It increased with increasing electron dose density. The B aggregation seems to produce vacancies more easily than the A aggregation, because diamonds with more B aggregation have more platelets, which are sufficient breakable size by electron beam. Greenish blue color of irradiated diamond is changed to darker with increasing electron dose density. GR1 centers with a zero-phonon line at 741 nm and phonon sidebands make transmit visible light at 530 nm and it moves to 500 nm with higher intensity of GR1 centers.

• Journal of Korean Society of Environmental Engineers
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• v.29 no.5
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• pp.540-547
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• 2007

Humic substances(HS) from Han River water was physic-chemically isolated by fractionational methods to investigate the seasonal distribution and to characterize the properties compared with intrinsic humic materials. Various HS samples were analyzed by element, Fourier transform infrared(FT-IR), proton nuclear magnetic resonance$(^1H-NMR)$ and fluorescence analyzers. The portion of HS from Han River water(HRHS) was 47.0% on the average, however it appeared that rainfall event brought about higher fraction of HS in Han River water by the periodic investigation. Aromaticity and humification degree of the HRHS were relatively lower than those of intrinsic humic materials originated from decomposing vegetation. FT-IR, $^1H-NMR$ and fluorescence spectroscopy showed the distinct differences between HRHS and intrinsic humic materials. Commercial humic materials could not represent structural and functional characteristics of local HS. The fluorescence spectroscopy, a relatively simple measurement, was found most useful tool to estimate humification degree for humic materials from particular sources.

• Journal of the Korean Chemical Society
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• v.53 no.6
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• pp.717-726
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• 2009

Multivariate models were developed for the simultaneous spectrophotometric determination of copper (II), nickel (II) and zinc (II) in water with 1-(2-thiazolylazo)-2-naphthol as chromogenic reagent in the presence of Triton X-100. To overcome the drawback of spectral interferences, principal component regression (PCR) and partial least square (PLS) multivariate calibration approaches were applied. Performances were validated with several test sets, and their results were then compared. In general, no significant difference in analytical performance between PLS and PCR models. The root mean square error of prediction (RMSEP) using three components for $Cu^{2+}$, $Ni^{2+}$ and $Zn^{2+}$ were 0.018, 0.010, 0.011 ppm, respectively. Figures of merit such as sensitivity, analytical sensitivity, limit of detection (LOD) were also estimated. High reliability was achieved when the proposed procedure was applied to simultaneous determination of $Cu^{2+}$, $Ni^{2+}$ and $Zn^{2+}$ in synthetic mixture and tap water.

• Korean Journal of Remote Sensing
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• v.30 no.2
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• pp.219-226
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• 2014

Fractional values resulted from the spectral mixture analysis could be used to classify not only urban area with various materials but also forest area in more detailed spatial scale. Especially South Korea is largely consist of mixed forest, so the spectral mixture analysis is suitable as a classification method. For the successful classification using spectral mixture analysis, extraction of optimal endmembers is prerequisite process. Though geometric endmember selection has been widely used, it is barely suitable for forest area. Therefore, in this study, we modified Iterative Error Analysis (IEA), one of the most famous algorithms of image endmember selection which extracts pure pixel directly from the image. The endmembers which represent deciduous and coniferous trees are automatically extracted. The experiments were implemented on two sites of Compact Airborne Spectrographic Imager (CASI) and classified forest area into two types. Accuracies of each classification results were 86% and 90%, which mean proposed algorithm effectively extracted proper endmembers. For the more accurate classification, another substances like forest gap should be considered.

• KSBB Journal
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• v.22 no.2
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• pp.84-90
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• 2007

Trehalose is non-reducing disaccharide which is found in bacteria, fungi, plants and insects. Trehalose has been determined by several analysis methods. To monitor the concentrations of trehalose in a process, enzymatic methods have more advantage over others, e.g. more specific. In this work, trehalase was immobilized on VA-epoxy polymer and applied to FIA systems. The behaviours of these FIA systems were characterized and used to monitor the trehalose concentrations. Use of optical detection technique was chosen for trehalose-FIA system. On-line monitoring data and off-line data were measured by HPLC.