• 전기학회논문지
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• 제58권12호
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• pp.2511-2519
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• 2009

In this paper, we introduce the methodological system design via feature selection using Principal Component Analysis and Particle Swarm Optimization algorithms. The overall methodological system design comes from three kinds of modules such as preprocessing module, feature extraction module, and recognition module. First, Histogram equalization enhance the quality of image by exploiting contrast effect based on the normalized function generated from histogram distribution values of 2D face image. Secondly, PCA extracts feature vectors to be used for face recognition by using eigenvalues and eigenvectors obtained from covariance matrix. Finally the feature selection for face recognition among the entire feature vectors is considered by means of the Particle Swarm Optimization. The optimized Polynomial-based Radial Basis Function Neural Networks are used to evaluate the face recognition performance. This study shows that the proposed methodological system design is effective to the analysis of preferred face recognition.

• The Korean Journal of Pain
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• 제26권3호
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• pp.270-276
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• 2013

Background: Ketamine, an N-methyl-D-aspartate receptor antagonist, might play a role in postoperative analgesia, but its effect on postoperative pain after caesarean section varies with study design. We investigated whether the preemptive administration of low-dose intravenous ketamine decreases postoperative opioid requirement and postoperative pain in parturients receiving intravenous fentanyl with patient-controlled analgesia (PCA) following caesarean section. Methods: Spinal anesthesia was performed in 40 parturients scheduled for elective caesarean section. Patients in the ketamine group received a 0.5 mg/kg ketamine bolus intravenously followed by 0.25 mg/kg/h continuous infusion during the operation. The control group received the same volume of normal saline. Immediately after surgery, the patients were connected to a PCA device set to deliver 25-${\mu}g$ fentanyl as an intravenous bolus with a 15-min lockout interval and no continuous dose. Postoperative pain was assessed using the cumulative dose of fentanyl and visual analog scale (VAS) scores at 2, 6, 24, and 48 h postoperatively. Results: Significantly less fentanyl was used in the ketamine group 2 h after surgery (P = 0.033), but the difference was not significant at 6, 12, and 24 h postoperatively. No significant differences were observed between the VAS scores of the two groups at 2, 6, 12, and 24 h postoperatively. Conclusions: Intraoperative low-dose ketamine did not have a preemptive analgesic effect and was not effective as an adjuvant to decrease opioid requirement or postoperative pain score in parturients receiving intravenous PCA with fentanyl after caesarean section.

• 헤리티지:역사와 과학
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• 제36권
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• pp.241-266
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• 2003

Glass pieces excavated from Mireuksa Temple dated $7^{th}$ century A.D. were characterized by chemical composition, specific gravity and melting point. Lead isotope ratios of lead glasses were also compared with those of lead ore to attribute which lead ore was delivered for making lead glass. It was known that some lead glasses found in Japan were similar with those of Mireuksa Temple as comparing the data of chemical composition and lead isotope ratios. Characteristics of lead glass from Mireuksa Temple Thirty five glass pieces of Mireuksa Temple were analyzed for five oxides and found that all was lead glass system(PbO-$SiO_2$) with the range of 70~79% for PbO and 20~28% for $SiO_2$. The concentrations of oxides such as $Al_2O_3$, $Fe_2O_3$ and CuO were below 0.4%, 0.3% and 0.9%, respectively. Principal component analysis(PCA) as a statistical method was carried out to classify glasses with the similarities of chemical concentrations. The result of PCA has shown that three groups of glasses were created according to the excavation positions and two major oxides(PbO and $SiO_2$) greatly contributed to the dispersion of glasses on principal component 1(PC1) axis and trace element oxides($Al_2O_3$ and $Fe_2O_3$) for PC2 axis. Most of lead glasses were greenish by the efficacy of iron and copper oxides and some showed yellowish-green. The gravity of lead glasses was about 4.4~5.4 and estimated melting point was near $670^{\circ}C$. Lead isotope ratios of glasses were analyzed and found quite close to a lead ore from the Bupyeong mine in Gyeonggi-do. Comparison with lead glasses found in Japan Lead glasses of Mireuksa Temple were compared with those of Japan on the basis of chemical and physical data. Chemical compositions of Japanese lead glasses dated $7^{th}{\sim}8^{th}$ century A.D. were nearly similar with those of Mireuksa Temple but lead isotope ratios of those were separated into two groups. Three distribution maps of lead ores of Korea, Japan and China with lead isotope ratios were applied for lead glasses found in Japan. The result have shown that the locations of lead glasses from Fukuoka Prefecture coincided with the region of northen part of Korea and similar with those of Mireuksa Temple and lead glasses from Nara Prefecture dated $8^{th}$ century A.D. were located in the region of Japanese lead ore. This research has demonstrated that lead glasses of Mireuksa Temple conveyed to Miyajidake site, Fukuoka Prefecture around $7^{th}$ century A.D. and glass melting pots and glass beads excavated from Nara Prefecture confirmed the first use of Japanese lead ore for production of lead glasses from the end of $7^{th}$ century A.D.

• 한국멀티미디어학회논문지
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• 제18권6호
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• pp.701-709
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• 2015

Image stitching method is a technique for obtaining an high-resolution image by combining two or more images. In X-ray image for clinical diagnosis, the size of the imaging region taken by one shot is limited due to the field-of-view of the equipment. Therefore, in order to obtain a high-resolution image including large regions such as a whole body, the synthesis of multiple X-ray images is required. In this paper, we propose a rapid stitching method of digital X-ray images using template-based registration. The proposed algorithm use principal component analysis(PCA) and k-nearest neighborhood(k-NN) to determine the location of input images before performing a template-based matching. After detecting the overlapping position using template-based matching, we synthesize input images by alpha blending. To improve the computational efficiency, reduced images are used for PCA and k-NN analysis. Experimental results showed that our method was more accurate comparing with the previous method with the improvement of the registration speed. Our stitching method could be usefully applied into the stitching of 2D or 3D multiple images.

• 대한전자공학회논문지SP
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• 제45권6호
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• pp.27-37
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• 2008

멀티미디어 기술과 콘텐츠의 발달로 3차원 데이터의 사용 범위가 넓어지고, 이를 보다 효율적으로 관리하고 검색하기 위한 시스템이 필요하다. 본 논문은 효율적인 3차원 모델의 형상 기반 검색을 하기위해 모델의 특징을 추출하는 단면 형상 영상 방법을 제안한다. 3차원 모델의 특징 기술자는 모델에 대한 위치, 회전, 크기에 불변해야 하므로 모델을 정규화 시키는 작업이 필요하다. 본 논문에서는 주성분 분석 방법을 이용하여 정규화하였다. 제안한 알고리즘은 주성분 분석을 통해 각 축의 방향 성분을 찾고, 각 축에 직교하는 n 개의 평면을 생성한다. 이 평면은 각 축의 방향과 직교 성분을 갖으며 단면 형상 영상을 구하는데 사용된다. 단면 형상 영상은 3차원 모델과 각 평면이 교차해서 생기는 2차원 평면 영상이다. 제안한 3차원 모델의 특징 기술자는 단면 형상 영상의 중심점과 2차원 형상(shape)을 이루는 직선까지의 유클리디안 거리(distance)값들의 분포도이다. 검색 성능 평가는 MPEG-7에서 제시한 표준 평가 방법인 표준화된 수정 검색 순위의 평균(ANMRR)을 이용하였고 제안한 방법의 우수성을 실험 결과를 통해 입증하였다.

• Archives of Pharmacal Research
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• 제11권2호
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• pp.127-133
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• 1988

The crystal structure of fenbufen was determined by X-ray diffraction techniuques. The compound was recrystallized in orthorhombic crystal system, space group $Pca2_1$ a = 31. 918(10), b = 5.550 (2), c = 15.078 (9) ${\AA}, D_m$= $1.26, {\D_x$= 1.264 g/$\textrm{cm}^3$, and Z = 8. The structure was solved by direct methods and refined by least squares procedure to the final R value of 0.051 for 1780 independent reflections. Two molecules in the asymmetric unit are related by a pseudo center of symmetry and dimerized via O-H...O hydrogen bonds. The carbonyl group attached to the phenyl ring is nearly coplanar to the ring. In the crystal the molecules are arranged in paralle stacks in the a direction.

• 한국연초학회지
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• 제16권2호
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• pp.163-171
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• 1994

This experiment was conducted to investigate the discrimination of cigarette brands and the similarity between Korea and America cigarette brands by near infrared spectra. Statistical tools such as principal component analysis (PCA) and mahalanobis distance(M.D) were used. The discrimination rate of the Korea and the America cigarette brands, determined by position number which was calculated with PCA and M.D, was 94% and 87%, respectively. The spectra of the 10 America cigarette brands were selected by averaging 5 sample spectra for each brand and another 5 spectra for each brand were investigated to use as the sample spectra. Comparing the sample spectra with the selected spectra by M.D using 410-1090 nm, 1110-1850 nm and 1970-2490 nm wavelength, the discrimination rate which was determined by the closest M.D between the sample and the selected spectra was 100% when each spectra was investigated on the same time. But the discrimination rate decreased 50% when the sample and the selected spectra were investigated on the different time. Excluding 1970-2490 nm wavelength, the discrimination rate increased up to 90% when the sample and the selected spectra were investigated on the different time. Comparing the spectra of Korea cigarette brands with those of America cigarette brands by M.D using only 410-1090 nm and 1110-1850 nm wavelength, the spectra of Expo(G) was similar to Winston, Vantage(U.L) and Benson & hedges(M.), the spectra of Hanaro(D) was similar to Carrel, Winston(L), Vantage(U.L), \Vantage and Carrel(L), the spectra of Hanaro(L) was similar to Winston(L) , Carton, Vantage and Carmel(L) and the spectra of Pinetree was similar to Kent, Kool, Kent(G.L), Merit and Benson & hedges(L), respectively. Key Words : NIRS, cigarette brands discrimination

• 한국지능시스템학회논문지
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• 제23권6호
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• pp.539-544
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• 2013

본 논문에서는 다항식 기반 RBFNNs를 이용하여 3차원 얼굴인식 알고리즘을 설계하고 인식률을 산출하는 방법을 제시한다. 2차원 얼굴인식의 경우 얼굴 포즈, 조명 등과 같은 외부 환경에 의해 인식률이 저하된다. 이러한 단점을 보완하기 위해 3차원 영상을 획득하여 얼굴인식을 수행한다. 얼굴인식을 수행하기 전에 3D스캐너를 통해 얻은 얼굴영상의 포즈 보상을 실시하고 얼굴의 형상을 정면으로 향하게 한다. 그리고 Point Signature 기법을 이용하여 얼굴의 깊이 값을 추출하게 된다. 추출된 데이터는 고차원 데이터로서 학습 및 인식을 수행함에 있어 문제가 생길 수 있기 때문에 PCA알고리즘을 수행하여 차원을 축소한 데이터를 사용한다. 효율적인 학습을 위해 최적화 알고리즘을 통해 파라미터 최적화를 수행하며 PSO, DE, GA 알고리즘을 사용하여 인식 성능을 확인한다.

• 한국식품과학회지
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• 제27권5호
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• pp.703-707
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• 1995

조리가공후 열처리하여 미생물학적 변패의 가능성을 배제한 식품의 저장중 일어나는 이화학적, 관능적 변화를 주성분분석을 이용하여 품질저하를 평가하였다. 제조된 식품을 20, 30 및 $40^{\circ}C$에서 저장하면서, pH, 산도, 색도 및 3개의 관능특성 변화 등 9개의 항목을 측정하였다. 전체적인 기호도는 시간이 경과함에 따라 서서히 떨어져 시료의 관능적 품질수명은 $40^{\circ}C$의 경우는 1.5개월, $20^{\circ}C$ 및 $30^{\circ}C$의 경우는 3개월 수준으로 나타났다. 그러나 저장온도의 상승에 따른 이화학적 품질의 변화속도는 일정한 경향이 없었다. 주성분분석을 이용하여 저장중의 품질 변화를 평가한 결과, 9개의 측정항목에 대하여 제1주성분은 49.6%, 제2주성분은 28.8%를 설명할 수 있었다. 제1주성분점수의 변화는 유의적이었으며, 변화의 기울기가 20, 30 및 $40^{\circ}C$에서 각각 -1.07, -1.33 및 -1.82로서, 제1주성분점수의 변화는 저장온도가 $10^{\circ}C$씩 증가함에 따라 약 1.30배씩 증가하여, 기호도검사에 의한 $20^{\circ}C$ 및 $40^{\circ}C$의 저장수명 변화와 일치하였다. 따라서 주성분 분석을 이용하여 식품의 저장중 품질변화를 평가하고, 저장수명을 예측하며, 품질에 영향을 미치는 지표의 선정이 가능할 것으로 사료되었다.

• Biomolecules & Therapeutics
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• 제3권2호
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• pp.97-103
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• 1995

The purpose of this study was to determine pharmacokinetic parameters of BR-28702-2, a new antineoplastic agent which is the conjugate of nucleotide and phospholipid, and to compare them with those of ara-C. Male rats were cannulated in the left femoral vein and received a single i.v. bolus dose of either BR-28702-2 or ara-C. BR-28702-2 was also administered i.p. and plasma samples were analyzed by reversedphase HPLC. The t$_{1}$2($\beta$)/ of ara-C(1.22 hr.) was significantly smaller than that of BR-28702-2(4.420 hr.). The absolute bioavailability of BR-28702-2 after i.p. injection was 1.125%. This lower bioavailability, together with previous reports that marked antineoplastic activity was observed when given i.p., indicates that BR-28702-2 would act as a depot system to release active moieties. Further works, therefore, need to be done to characterize active metabolites.