• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.148-153
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• 1999

Baikdu-san was a very active volcano during the Cenozoic era and is believed to be formed in late Cenozoic era. Recently it was also reported that there was a major eruption in or around 1002 A.D. and there are evidences which indicate that it is still an active volcano and a potential volcanic hazard. Remote sensing techniques have been widely used to monitor various natural hazards, including volcanic hazards. However, during an active volcanic eruption, volcanic ash can basically cover the sky and often blocks the solar radiation preventing any use of optical sensors. Synthetic aperture radar(SAR) is an ideal tool to monitor the volcanic activities and lava flows, because the wavelength of the microwave signal is considerably longer that the average volcanic ash particle size. In this study we have utilized several sets of SAR data to evaluate the utility of the space-borne SAR system. The data sets include JERS-1(L-band) SAR, and RADARSAT(C-band) data which included both standard mode and the ScanSAR mode data sets. We also utilized several sets of auxiliary data such as local geological maps and JERS-1 OPS data. The routine preprocessing and image processing steps were applied to these data sets before any attempts of classifying and mapping surface geological features. Although we computed sigma nought ($\sigma$$^{0}$) values far the standard mode RADARSAT data, the utility of sigma nought image was minimal in this study. Application of various types of classification algorithms to identify and map several stages of volcanic flows was not very successful. Although this research is still in progress, the following preliminary conclusions could be made: (1) sigma nought (RADARSAT standard mode data) and DN (JERS-1 SAR and RADARSAT ScanSAR data) have limited usefulness for distinguishing early basalt lava flows from late trachyte flows or later trachyte flows from the old basement granitic rocks around Baikdu-san volcano, (2) surface geological structure features such as several faults and volcanic lava flow channels can easily be identified and mapped, and (3) routine application of unsupervised classification methods cannot be used for mapping any types of surface lava flow patterns.

• 한국광학회지
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• 제20권3호
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• pp.175-181
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• 2009

내부전반사 홀로그래픽 노광 기술은 넓은 면적(6")을 아주 미세하게($0.35{\mu}m$) 노광할 수 있는 차세대 광 노광 기술로서 평가받고 있다. 기존의 광 노광 기술은 $1.5{\mu}m/6}$ 이상이 가능한 (LCD용 노광기)과 $0.2{\mu}m/1.5"$ 이하(반도체용 노광기)의 패턴을 노광할 수 있도록 양분되어 발전하여 왔다. 이에 반하여 내부전반사 홀로그래픽 노광 기술은 일괄 노광 면적은 6"로 유지하면서 $0.35{\mu}m$에서 $1.5{\mu}m$의 사이의 패턴을 구현할 수 있는 특별한 능력을 갖고 있다. 이는 기존 광 노광 방식에서 반드시 필요로 하는 결상 광학계를 사용하지 않고 홀로그램 마스크를 사용하기 때문이다. 본 논문에서는 내부전반사 홀로그래픽 노광 기술의 핵심기술인 홀로그램 마스크를 표면 부조 홀로그램 형태로 구현할 수 있는 핵심 인자가 무엇인지를 분석하여 최적화 하는 방법에 대해 논하고, 이를 이용하여 노광한 미세패턴에 대한 결과를 실험적으로 평가하였다.

• 대한지리학회지
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• 제48권4호
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• pp.497-508
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• 2013

본 연구의 목적은 기후요소와 대기 에어로졸이 한반도 식물계절학적 특성에 미치는 영향을 위성자료 분석을 통해 규명하는 것이다. 매일 관측되는 위성관측 자료의 분석을 통해 지표관측이 갖는 식물계절학적 연구상의 시계열적 한계를 극복하고자 하였다. 연구결과에 따르면, 분석된 4개의 주요 산림생태계 중 상록수림, 낙엽수림, 초지는 서로 유사한 식물계절학적 특성을 보인 반면, 혼합림의 생장 패턴의 연도별변화는 상이하게 나타났다. 식생지수(VI)의 연중 진폭이 큰 삼림은 VI 연중 최대치에 보다 빨리 도달하는 것으로 조사되었지만, 동일 삼림생태계 내에서는 시계열적인 관련성이 나타나지 않았다. 식생지수의 위상(phase)은 VI 최대치가 관측되는 연중 시점을 의미하는데, 기온의 변화와 강한 상관성을 보였다. 에어로졸 광학두께(AOT)의 시계열변화는 연도별 변화뿐만 아니라 계절적 특징을 강하게 나타내었다. 일반적으로, 에어로졸 농도는 늦봄부터 초여름에 걸쳐 가장 높게 나타났다. 하지만 AOT의 연도별변화 패턴은 진폭과 위상 변화 측면에서 식생지수와 통계적으로 강한 상관관계를 보이지 않았다. 단지, AOT의 연중 진폭(amplitude)이 식생지수의 진폭과 미약한 상관관계를 보인 결과로 볼 때, 전반적인 에어로졸의 농도 변화가 식생활동에 영향을 미칠 개연성이 있다고 판단된다.

• 해양환경안전학회지
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• 제14권1호
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• pp.9-14
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• 2008

나노입자란 직경 100nm 이하의 크기를 가진 입자로 가전, 기능성 화장품, 반도체, 항균제 및 광촉매제 등에 널리 사용되어 있어 본 연구는 9종류의 나노입자가 참굴 수정란에 미치는 영향을 살펴보았다. 나인입자를 첨가하지 않은 대조구에서는 인공 수정한 참굴 수정란의 78%가 D형 유생으로 발생하였다. 은(Ag)이 2% 함유된 AGZ020, Nano silver 및 P-25의 나노입자와 주석산화물인 SnO의 나노입자는 24시간 경과 후 0.05ppm 농도에서 각 각 22%, 52%, 58% 및 76%가 D형 유생으로 발생하였으나, 20ppm 농도에서 8시간 이내 참굴 수정란을 모두 파괴하였다. In, Sb, Sn, Zn 및 Ag-$TiO_2$의 나노입자는 24시간 경과 후 0.05ppm 농도에서 모두 70%이상의 D형 유생으로 발생하여 상대적으로 낮은 농도에서 큰 영향을 받지 않는 것으로 나타났으나, 20ppm 농도에서 대조에 비해 D형 유생 발생율이 각 각 57%, 60%, 50%, 65% 및 64%로 저해되었다.

• 한국응용과학기술학회지
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• 제32권4호
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• pp.731-739
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• 2015

본 연구는 꽃송이버섯 추출물의 화장품소재로서 활용 가능성을 확인하는 것을 목적으로 한다. 꽃송이버섯 에탄올 추출물의 Straphylococcus epidermidis, Straphylococcus aureus, Escherichia coli, Candida albicans 균주로부터 항균효능을 확인하였으며 항산화효과 및 염증관련인자인 NO저해율을 확인하였다. 또한 꽃송이버섯 에탄올 추출물을 함유한 에멀션 제형의 물리적 안정성을 평가하기 위해 pH, 점도, 에멀션 입자를 관찰하였다. 그 결과 paper disc 실험의 경우 Straphylococcus aureus, Candida albicans 균주로부터 항균효능을 나타내었으며, 에멀션 제형 평가의 경우 안정한 점도와 pH를 나타내었다. 현미경으로 유화물 입자 관찰 시 추출물의 유무와 상관없이 제형 분리 현상은 확인되지 않았다. 이러한 결과는 꽃송이버섯 추출물의 화장품 소재로서의 가치를 제안할 수 있다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.344-344
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• 2014

Transparent amorphous oxide semiconductors such as a In-Ga-Zn-O (a-IGZO) have advantages for large area electronic devices; e.g., uniform deposition at a large area, optical transparency, a smooth surface, and large electron mobility >10 cm2/Vs, which is more than an order of magnitude larger than that of hydrogen amorphous silicon (a-Si;H).1) Thin film transistors (TFTs) that employ amorphous oxide semiconductors such as ZnO, In-Ga-Zn-O, or Hf-In-Zn-O (HIZO) are currently subject of intensive study owing to their high potential for application in flat panel displays. The device fabrication process involves a series of thin film deposition and photolithographic patterning steps. In order to minimize contamination, the substrates usually undergo a cleaning procedure using deionized water, before and after the growth of thin films by sputtering methods. The devices structure were fabricated top-contact gate TFTs using the a-IGZO films on the plastic substrates. The channel width and length were 80 and 20 um, respectively. The source and drain electrode regions were defined by photolithography and wet etching process. The electrodes consisting of Ti(15 nm)/Al(120 nm)/Ti(15nm) trilayers were deposited by direct current sputtering. The 30 nm thickness active IGZO layer deposited by rf magnetron sputtering at room temperature. The deposition condition is as follows: a rf power 200 W, a pressure of 5 mtorr, 10% of oxygen [O2/(O2+Ar)=0.1], and room temperature. A 9-nm-thick Al2O3 layer was formed as a first, third gate insulator by ALD deposition. A 290-nm-thick SS6908 organic dielectrics formed as second gate insulator by spin-coating. The schematic structure of the IGZO TFT is top gate contact geometry device structure for typical TFTs fabricated in this study. Drain current (IDS) versus drain-source voltage (VDS) output characteristics curve of a IGZO TFTs fabricated using the 3-layer gate insulator on a plastic substrate and log(IDS)-gate voltage (VG) characteristics for typical IGZO TFTs. The TFTs device has a channel width (W) of $80{\mu}m$ and a channel length (L) of $20{\mu}m$. The IDS-VDS curves showed well-defined transistor characteristics with saturation effects at VG>-10 V and VDS>-20 V for the inkjet printing IGZO device. The carrier charge mobility was determined to be 15.18 cm^2 V-1s-1 with FET threshold voltage of -3 V and on/off current ratio 10^9.

• 대한원격탐사학회지
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• 제36권5_3호
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• pp.1095-1107
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• 2020

홍수 발생 시 위성영상을 활용하여 침수된 지역을 추출하는 것은 홍수 발생 기간 내의 위성영상 취득과 영상에 나타난 침수구역의 정확한 분류 등에서 많은 어려움이 존재한다. 딥러닝은 전통적인 영상분류기법들에 비해 보다 정확도가 높은 위성영상분류기법으로 주목받고 있지만, 광학영상에 비해 홍수 발생 시 위성영상의 취득이 용이한 SAR 영상의 분류 잠재력은 아직 명확히 규명되지 않았다. 본 연구는 대표적인 의미론적 영상 분할을 위한 딥러닝 모델인 SegNet과 U-Net을 활용하여 동남아시아의 라오스, 태국, 필리핀의 대표적인 홍수 발생지역인 코랏 유역(Khorat basin), 메콩강 유역(Mekong river basin), 카가얀강 유역(Cagayan river basin)에 대해 Sentinel-1 A/B 위성영상으로부터 침수지역 추출을 실시하였다. 분석결과 침수지역 탐지에서 SegNet의 Global Accuracy, Mean IoU, Mean BF Score는 각각 0.9847, 0.6016, 0.6467로 나타났으며, U-Net의 Global Accuracy, Mean IoU, Mean BF Score는 각각 0.9937, 0.7022, 0.7125로 나타났다. 국지적 분류결과 확인을 위한 육안검증에서 U-Net이 SegNet에 비해 보다 높은 분류 정확도를 보여주었지만, 모델의 훈련에 필요한 시간은 67분 17초와 187분 19초가 각각 소요되어 SegNet이 U-Net에 비해 약 3배 정도 빠른 처리속도를 보여주었다. 본 연구의 결과는 향후 딥러닝 기법을 활용한 SAR 영상기반의 홍수탐지 모델과 실무적으로 활용이 가능한 자동화된 딥러닝 기반의 수계탐지 기법의 제시를 위한 중요한 참고자료로 활용될 수 있을 것으로 판단된다.

• Biomolecules & Therapeutics
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• 제23권5호
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• pp.486-492
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• 2015

Drug metabolism mostly occurs in the liver. Cytochrome P450 (CYP) is a drug-metabolizing enzyme that is responsible for many important drug metabolism reactions. Recently, the US FDA and EU EMA have suggested that CYP enzyme induction can be measured by both enzymatic activity and mRNA expression. However, these experiments are time-consuming and their interassay variability can lead to misinterpretations of the results. To resolve these problems and establish a more powerful method to measure CYP induction, we determined CYP induction by using luminescent assay. Luminescent CYP assays link CYP enzyme activity to firefly luciferase luminescence technology. In this study, we measured the induction of CYP isozymes (1A2, 2B6, 2C9, and 3A4) in cryopreserved human hepatocytes (HMC424, 478, and 493) using a luminometer. We then examined the potential induction abilities (unknown so far) of mesalazine, a drug for colitis, and mosapride citrate, which is used as an antispasmodic drug. The results showed that mesalazine promotes CYP2B6 and 3A4 activities, while mosapride citrate promotes CYP1A2, 2B6, and 3A4 activities. Luminescent CYP assays offer rapid and safe advantages over LC-MS/MS and qRT-PCR methods. Furthermore, luminescent CYP assays decrease the interference between the optical properties of the test compound and the CYP substrates. Therefore, luminescent CYP assays are less labor intensive, rapid, and can be used as robust tools for high-throughput CYP screening during early drug discovery.

• 한국초지조사료학회지
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• 제35권3호
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• pp.257-263
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• 2015

This study was conducted to assess the potential of using NIRS to accurately determine the chemical composition and fermentation parameters in fresh coarse sorghum and sudangrass silage. Near Infrared Spectroscopy (NIRS) has been increasingly used as a rapid and accurate method to analyze the quality of cereals and dried animal forage. However, silage analysis by NIRS has a limitation in analyzing dried and ground samples in farm-scale applications because the fermentative products are lost during the drying process. Fresh coarse silage samples were scanned at 1 nm intervals over the wavelength range of 680~2500 nm, and the optical data were obtained as log 1/Reflectance (log 1/R). The spectral data were regressed, using partial least squares (PLS) multivariate analysis in conjunction with first and second order derivatization, with a scatter correction procedure (standard normal variate and detrend (SNV&D)) to reduce the effect of extraneous noise. The optimum calibrations were selected on the basis of minimizing the standard error of cross validation (SECV). The results of this study showed that NIRS predicted the chemical constituents with a high degree of accuracy (i.e. the correlation coefficient of cross validation ($R^2{_{cv}}$) ranged from 0.86~0.96), except for crude ash which had an $R^2{_{cv}}$ of 0.68. Comparison of the mathematical treatments for raw spectra showed that the second-order derivatization procedure produced the best result for all the treatments, except for neutral detergent fiber (NDF). The best mathematical treatment for moisture, acid detergent fiber (ADF), crude protein (CP) and pH was 2,16,16 respectively while the best mathematical treatment for crude ash, lactic acid and total acid was 2,8,8 respectively. The calibrations of fermentation products produced poorer calibrations (RPD < 2.5) with acetic and butyric acid. The pH, lactic acid and total acids were predicted with considerable accuracy at $R^2{_{cv}}$ 0.72~0.77. This study indicated that NIRS calibrations based on fresh coarse sorghum and sudangrass silage spectra have the capability of assessing the forage quality control

• 한국초지조사료학회지
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• 제37권4호
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• pp.350-357
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• 2017

Near infrared spectroscopy (NIRS) is a rapid and accurate method for analyzing the quality of cereals, and dried animal forage. However, one limitation of this method is its inability to measure fermentation parameters in dried and ground samples because they are volatile, and therefore, respectively lost during the drying process. In order to overcome this limitation, in this study, fresh coarse haylage was used to test the potential of NIRS to accurately determine chemical composition and fermentation parameters. Fresh coarse Italian ryegrass haylage samples were scanned at 1 nm intervals over a wavelength range of 680 to 2500 nm, and optical data were recorded as log 1/reflectance. Spectral data, together with first- and second-order derivatives, were analyzed using partial least squares (PLS) multivariate regressions; scatter correction procedures (standard normal variate and detrend) were used in order to reduce the effect of extraneous noise. Optimum calibrations were selected based on their low standard error of cross validation (SECV) values. Further, ratio of performance deviation, obtained by dividing the standard deviation of reference values by SECV values, was used to evaluate the reliability of predictive models. Our results showed that the NIRS method can predict chemical constituents accurately (correlation coefficient of cross validation, $R_{cv}^2$, ranged from 0.76 to 0.97); the exception to this result was crude ash ($R_{cv}^2=0.49$ and RPD = 2.09). Comparison of mathematical treatments for raw spectra showed that second-order derivatives yielded better predictions than first-order derivatives. The best mathematical treatment for DM, ADF, and NDF, respectively was 2, 16, 16, whereas the best mathematical treatment for CP and crude ash, respectively was 2, 8, 8. The calibration models for fermentation parameters had low predictive accuracy for acetic, propionic, and butyric acids (RPD < 2.5). However, pH, and lactic and total acids were predicted with considerable accuracy ($R_{cv}^2$ 0.73 to 0.78; RPD values exceeded 2.5), and the best mathematical treatment for them was 1, 8, 8. Our findings show that, when fresh haylage is used, NIRS-based calibrations are reliable for the prediction of haylage characteristics, and therefore useful for the assessment of the forage quality.