• Bulletin of the Korean Chemical Society
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• 제13권3호
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• pp.235-240
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• 1992

The paramagnetic complex of $(CO)_4ReL_2[L_2=$ 2,3-Bis(diphenylphosphino)maleic anhydride] was prepared both by the photochemically induced homolytic splitting of $Re_2(CO)_10withL_2and$ by the chemical reduction of $[(CO)_4ReL_2]SO_3CF_3.$ The $(CO)_4ReL_2$ compound was characterized by ESR spectrum. The spectrum exhibits three group of sextets arising from one $^{185.187}Re$ nucleus (Ⅰ= 5/2) and two equivalent $^31P$ nuclei (Ⅰ= 1/2). Infrared, ESR, and cyclic voltammetric data are reported for all of the complexes prepared in this study.

• 한국컴퓨터그래픽스학회논문지
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• 제16권2호
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• pp.39-45
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• 2010

물체의 색은 모양과 더불어 사람이 바깥세상의 사물을 알아보는데 중요한 역할을 한다. 이런 색상을 인식하는 것은 태양과 같은 빛이 존재하기 때문이다. 빛은 여러 파장들로 구성되어 있으며, 눈에 보이지 않는 적외선, 자외선의 영역과 색을 인식시켜 줄 수 있는 눈에 보이는 가시광선 영역 등으로 이루어져 있다. 이러한 모든 파장의 빛이 균등하게 혼합되면 그 빛은 흰 색을 띄게 되며, 이를 백색광이라고 한다. 백색광이 굴절이 이루어지면 그 구성되어져 있는 가시광선 영역이 여러 가지 색으로 갈라지는데 이것을 분산현상이라 한다. 본 논문에서는, 백색광을 무지개의 대표적인 일곱 가지 색상으로 구성하고 자연의 분상현상을 시뮬레이션하기 위해 N색 분산 포톤 매핑 방법을 제안하였다.

• 대한의용생체공학회:의공학회지
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• 제20권6호
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• pp.547-553
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• 1999

생체재료로 사용되는 polyurethane(PU) 표면에 항혈전성 lumbrokinase(LK)를 고정함으로써 생체적합성을 향상시키고자하였다. 먼저 LK를 PU 표면에 고정하기 위한 가교제로서 4-azidoaniline hydrochloride와 poly(acrylic acid)를 이용하여 4-azidophenyl 작용기가 amido 결합으로 치환된 수용성, 광반응성 poly(acrylic acid)(PPa-II)를 합성하였다. H-nuclear magnetic reasonance spectrum(500MHz H-NMR)의 6-7 peak와 infrared spectrum (FT-IR) 의 2125.48 cm peak으로부터 PPA-II의 합성을 지원하였다. EH한 4-azidophenyl 작용기가 poly(acrylid acid) 잔기에 치환된 정도는 UV/VIS adpectrophotometric spectrum을 확인한 결과 11~14%임을 알 수있었다. 0.5 1및 5% PPA-II를 각각 광반응하여 얻은 PU는 39.5, 161.8 및 181.5 nmole/$\textrm{cm}^2$의 농도로 표면에 carvoxyl 작용기가 유도되었음을 알 수있었다. 0.05M KH2PO4 (pH 4.5) 용액에서 1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide(EDC)를 촉매로 사용하여 LK를 PU표면에 amido 공유결합으로 고정하였으며, 이것은 지속적인 fibrinolytic 활성도를 보였다. PPA-II를 이용한 표면 개질 방법은 수용성 반응조건에서 이루어진다는 점과 광반응을 이용함으로써 특정부위에서의 표면개질이 가능하다는 점에서 그 응용가치가 크며 아울러 PU의 생체적합성을 향상시킬 수 있는 방법으로서 판단된다.

• Journal of Biosystems Engineering
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• 제23권6호
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• pp.561-570
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• 1998

The MLR(Multiple Linear Regression) models to estimate soluble solids content non-destructively were presented to make a selection of optimal photosensor utilized to measure the soluble solids content of apples. Visible and NIR absorbance in the 400 to 2498 nanometer(nm) wavelength region, soluble solids content(sugar content), hardness, and weight were measured for 400 apples(gala). Spectrophotometer with fiber optic probe was utilized for spectrum measurement and digital refractometer was used for soluble solids content. Correlation between absorbance spectrum and soluble solids content was analyzed to pick out the optimal wavelengths and to develop corresponding prediction model by means of MLR. For the coefficient of determination($R^2$) to be over 0.92, the MLR models out of the original absorbance were built based on 7 wavelengths of 992, 904, 1096, 1032, 880, 824, 1048nm, and the ones of the second derivative absorbance based on 5 wavelengths of 784, 1056, 992, 808, 872nm. The best model of the second derivative absorbance spectrum had $R^2$=0.91, bias= -0.02bx, SEP=0.28bx for unknown samples.

• Current Optics and Photonics
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• 제6권1호
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• pp.92-103
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• 2022

The development of midinfrared (mid-IR) quantum cascade lasers (QCLs) has enabled rapid high-contrast measurement of the mid-IR spectra of biological tissues. Several studies have compared the differences between the mid-IR spectra of colon cancer and noncancerous colon tissues. Most mid-IR spectrum classification studies have been proposed as machine-learning-based algorithms, but this results in deviations depending on the initial data and threshold values. We aim to develop a process for classifying colon cancer and noncancerous colon tissues through a deep-learning-based convolutional-neural-network (CNN) model. First, we image the midinfrared spectrum for the CNN model, an image-based deep-learning (DL) algorithm. Then, it is trained with the CNN algorithm and the classification ratio is evaluated using the test data. When the tissue microarray (TMA) and routine pathological slide are tested, the ML-based support-vector-machine (SVM) model produces biased results, whereas we confirm that the CNN model classifies colon cancer and noncancerous colon tissues. These results demonstrate that the CNN model using midinfrared-spectrum images is effective at classifying colon cancer tissue and noncancerous colon tissue, and not only submillimeter-sized TMA but also routine colon cancer tissue samples a few tens of millimeters in size.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2003년도 추계 학술발표회 요지
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• pp.152-153
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• 2003

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.667-671
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• 1989

The CO laser is one of powerful light source for laser magnetic resonance spectroscopy in the mid-infrared region of the spectrum because of its wideband operational characteristics. In this work, a liquid nitrogen cooled cw CO laser is developed to allow broad-band operation from 5 to 8 ${\mu}m$. The design details will be presented.

• 대한지리학회:학술대회논문집
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• 대한지리학회 2004년도 춘계학술대회
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• pp.56-56
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• 2004

The ability to detect urban heat islands in satellite imagery is a function of spatial, spectral, and temporal resolutions. Imagery from the satellite-mounted Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor acquired since December 1999 allows us to view the Earth at a higher spectral resolution in the thermal infrared (TIR) portion of the electromagnetic spectrum than most other satellite systems (e.g., AVHRR, Landsat TM). (omitted)

• 생약학회지
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• 제7권3호
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• pp.209-210
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• 1976

To identify eriodictyol from the leaves of Lespedeza maximowiczii C.K. $S_{CHNEIDER}$, growing in Korea, the fresh leaves collected at Mt. Chil Bo, Geong Gi Province were used in the investigation. A white crystal was isolated from the water extract and it was identified as eriodictyol by its melting point, physico-chemical properties, thin layer chromatography and infrared absorption spectrum patterns.

• 한국작물학회:학술대회논문집
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• 한국작물학회 1998년도 춘계 학술대회지
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• pp.73-74
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• 1998