• 한국분말재료학회지
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• 제18권3호
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• pp.238-243
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• 2011

Al/AlN composites were synthesized by mechanical alloying using process control agents(PCAs). Three different PCAs which contain N element, were examined to see the effectiveness of ball-milling and the nitridation during sintering. Among examined PCAs, $C_8H_6N_4O_5$ was the most effective to facilitate ball-milling and to form nitrides during a subsequent sintering. By a proper control of ball-milling and sintering, we could obtained surface-hardened Al-based composites.

• 한국식품조리과학회지
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• 제28권6호
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• pp.741-751
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• 2012

This study was conducted to understand sensory characteristics of commercial functional beverages, to analyze and the drivers of liking and disliking of it by Korean consumers. Descriptive analysis and consumer taste testing were conducted with ten commercial products of functional beverages. Samples were consisted of good for beauty, relieving hangovers, and health tonics. For the descriptive analysis, 45 attributes were developed by ten panelists and it shows differences among the all samples. For the consumer testing, 81 panels evaluated the overall liking, acceptance of appearance, odor, flavor, and texture of 10 samples. As a result, attributes of brightness, yellow color, Nurungji flavor, roasted bean power flavor, and milky texture of functional beverages were positive drivers of liking, but attributes of astringent texture, bitter taste, and viscosity were negative drivers of liking on the commercial functional beverages.

• 전자공학회논문지
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• 제51권1호
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• pp.195-201
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• 2014

본 연구에서는 $(2D)^2PCA$ 알고리즘을 이용한 pRBFNNs 패턴분류기 기반 얼굴인식 시스템을 설계하였다. 기존의 1차원 PCA는 행과 열의 곱으로 표현한 이미지의 차원을 축소한다. 하지만 $(2D)^2PCA$(2-Directional 2-Dimensional Principal Components Analysis)는 이미지의 행과 열에서 각각 차원축소를 수행한다. 그 다음 제안된 지능형 패턴분류기로 축소된 이미지를 사용하여 성능을 평가한다. (pRBFNNs)로 성능 평가를 한다. 제안된 다항식 기반 RBFNNs은 조건부, 결론부, 추론부 세가지의 기능적 모듈로 구성되어 있고 조건는 퍼지 클러스터링을 사용하여 입력 공간을 분할하고, 결론부는 RBFNNs의 연결가중치로 일차 선형식으로 표현한다. 또한 차분진화 알고리즘을 이용하여 제안된 분류기의 파라미터, 즉 입력의 수, 퍼지 클러스터링의 퍼지화 계수를 최적화 한다. 얼굴인식에 많이 사용되는 Yale과 AT&T를 사용하여 인식률을 평가하였다. 실험 평가를 위해 IC&CI 연구실 데이터를 추가하여 실험하였다.

• 응용통계연구
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• 제33권6호
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• pp.805-812
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• 2020

본 논문은 최근 금융시계열 분야에서 자주 등장하는 고빈도 시계열 변동성 분석을 다루고 있다. 고빈도 시계열 변동성 분석을 위해 차원 축소를 목적으로 하는 함수형 주성분분석을 적용하였으며 이를 수행하는 R의 두 함수를 비교하고 있다. 응용으로서, KOSPI 고빈도 자료에 적용해 보았다.

• Journal of the Korean Wood Science and Technology
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• 제46권3호
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• pp.285-296
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• 2018

ISPM No. 15에 의거한 열처리 목재의 검증을 위한 연구로서 열처리 목재 표면의 분광학적 특성을 분석하였다. IR 스펙트럼 상에서는 다양한 작용기들이 확인되지만 수종간, 열처리 시간 및 보관 기간에 따른 특별한 차이를 발견하기 어려웠다. HBI(hydrogen-bonding intensity)는 보관 기간에 따른 열처리 목재의 변화는 관찰할 수 있지만 열처리 시간에 따른 변화는 관찰하기 어려웠다. 하지만 PCA score plot 상에서 수종 내에서 60분 혹은 90분의 열처리 시간에 따라 목재의 분류가 가능하였다. PCA에서 열처리 목재의 분류의 기준은 목재 내 리그닌의 방향족 환과 셀룰로오스의 C-H bending이었으며 이들 성분에 의해 ISPM No. 15로 열처리된 목재를 분류할 수 있었다.

• 한국식품조리과학회지
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• 제23권5호
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• pp.761-769
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• 2007

The purpose of this study was to provide the sensory profiles for cooked rice varieties, with 3 types of functional rice and 4 types of ready -to -eat rice, using descriptive analysis. Eighteen descriptors as well as reference standards were developed. The cooked functional rice, ready-to-eat rice, and plain cooked rice were separated into 4 groups by PCA. PC1 & PC2 explained 65% of the total valiance. PC 1 was responsible for the highest percentage of separation based on the texture intensities. The cooked functional rice showed higher intensity for hardness and roughness. The ready-to-eat rice A, B, and C samples had higher intensities in terms of moistness, glossiness, and moisture content, as well as sour and raw rice flavor. The ready-to-eat rice D sample had low grain wholesomeness, and high intensity for raw rice flavor. Finally, the plain cooked rice had more roasted and burnt rice flavor.

• Fisheries and Aquatic Sciences
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• 제17권3호
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• pp.325-337
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• 2014

To assess the functional structure of prepro-melanin-concentrating hormone (pMCH), we isolated and cloned pMCH (of-pMCH) mRNA from the brain of the olive flounder, Paralichthys olivaceus, and compared its amino acid sequence with those from other animals. In addition, to examine whether activation of the brain of-pMCH gene is influenced by background color, density, and feeding, we compared pMCH mRNA activities against different background colors (bright and dark) and at different densities (100% PCA and 200% PCA). To examine whether the pMCH gene is related with malpigmentation of blind-side skin and appetite, we compared pMCH gene expression between ordinary and hypermelanic flounders, and between feeding and fasting flounders. The of-pMCH cDNA was 405 bp in the open reading frame [ORF] and encoded a protein of 135 amino acids; MCH was 51 bp in length and encoded a protein of 17 amino acids. An obvious single band of the expected size was obtained from the brain and pituitary by RT-PCR. In addition, of-pMCH gene activity was significantly higher in the bright background only at low density (< 100% PCA) making the ocular skin of fish whitening, and in ordinary fish. However, the gene activity was significantly decreased in dark background, at high density (>200% PCA), and in hypermelano fish. These results suggest that skin whitening camouflage of the flounder is induced by high MCH gene activity, and the density disturbs the function of background color in the physiological color change. Moreover, our data suggest that a low level of MCH gene activity may be related to malpigmentation of the blind-side skin. In feeding, although pMCH gene activity was significantly increased by feeding in the white background, the pMCH gene activity in the dark background was not influenced by feeding, indicating that the MCH gene activity increased by feeding can be offset by dark background color, or is unaffected by appetite. In conclusion, this study showed that MCH gene expression is related to ocular-skin whitening camouflage and blind-skin hypermelanosis, and is influenced by background color and density.

• 농업과학연구
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• 제36권2호
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• pp.219-224
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• 2009

효소적 공법을 이용하여 합성한 기능성 modified-butterfat들(MF668과 MF866)의 향기성분 분석을 전자코와 SPME-GC/MS를 가지고 수행하였다. 전자코 분석결과, 기질로 사용된 ABF와 FSO, 그리고 생성물인 MF668과 MF866은 제1주성분 값의 95.16%기여율로 서로 다른 향기패턴을 갖음을 확인하였다. 신속하며 간편한 SPME-GC/MS분석결과, MF668과 MF866에서는 기질에서보다 더 다양한 aldehyde류, ketone류, acid류 등이 검출되었다. 이는 반응과정 중 생성될 수 있는 산화물로 추후 항산화제 연구가 필요함을 입증하였다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.216-216
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• 2022

The starch-branching enzymes (BEs) are responsible for synthesizing the amylopectin, which plays an important role in determining the structural and physical properties of starch granules. BE has two differently functioning isoforms (BEI and BEIIa/b) based on their difference in the chain-length pattern by the degree of polymerization (DP), which mainly contributes to the amylopectin chain length distribution in starch biosynthesis. In this study, we investigated functional haplotypes and evolutionary analyses of SBE1 in 374 rice accessions (320 Korean bred and 54 wild). The analyses were performed based on the classified subpopulations. Haplotype analysis generates a total of 8 haplotypes, of which only four haplotypes were functional carrying four functional SNPs in four different exons of SBE1 on chromosome 6. Nucleotide diversity analysis showed a highest pi-value in aromatic group (0.0029), while the lowest diversity value was in temperate japonica (0.0002), indicating the signal of this gene evolution origin. Different directional selections could be estimated by negative Tajima's D value of temperate japonica (-1.1285) and positive Tajima's D value of tropical japonica (0.9456), where the selective sweeps were undergone by both positive purifying and balancing selections. Phylogenetic analysis indicates a closer relationship of the wild with most of the cultivated subgroups indicating a common ancestor for SBE1 gene. FST-values indicate distant genetic relationships of temperate japonica from all other classified groups. PCA and population structure analysis show an admixed structure of wild and cultivated subpopulations in some proportions.

• 분석과학
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• 제33권2호
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• pp.98-107
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• 2020

Methamphetamine (MA) is currently the most abused illicit drug in Korea. MA is produced by chemical synthesis, and the final target drug that is produced contains small amounts of the precursor chemicals, intermediates, and by-products. To identify and quantify these trace compounds in MA seizures, a practical and feasible approach for conducting chromatographic fingerprinting with a suite of traditional chemometric methods and recently introduced machine learning approaches was examined. This was achieved using gas chromatography (GC) coupled with a flame ionization detector (FID) and mass spectrometry (MS). Following appropriate examination of all the peaks in 71 samples, 166 impurities were selected as the characteristic components. Unsupervised (principal component analysis (PCA), hierarchical cluster analysis (HCA), and K-means clustering) and supervised (partial least squares-discriminant analysis (PLS-DA), orthogonal partial least squares-discriminant analysis (OPLS-DA), support vector machines (SVM), and deep neural network (DNN) with Keras) chemometric techniques were employed for classifying the 71 MA seizures. The results of the PCA, HCA, K-means clustering, PLS-DA, OPLS-DA, SVM, and DNN methods for quality evaluation were in good agreement. However, the tested MA seizures possessed distinct features, such as chirality, cutting agents, and boiling points. The study indicated that the established qualitative and semi-quantitative methods will be practical and useful analytical tools for characterizing trace compounds in illicit MA seizures. Moreover, they will provide a statistical basis for identifying the synthesis route, sources of supply, trafficking routes, and connections between seizures, which will support drug law enforcement agencies in their effort to eliminate organized MA crime.