• Bulletin of the Korean Chemical Society
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• v.30 no.1
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• pp.137-144
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• 2009

In this study, quantitative and pattern recognition analyses for the quality evaluation of Herba Epimedii using HPLC was developed. For quantitative analysis, five major bioactive constituents, hyperin, epimedin A, epimedin B, epimedin C, and icariin were determined. Analysis was carried out on Capcell pak $C_{18}$ column ($250{\time}4.6$ mm, 5 ${\mu}m$) with a mobile phase of mixture of acetonitrile and 0.1% formic acid, using UV detection at 270 nm. The linear behavior was observed over the investigated concentration range (2-50 ${\mu}g/mL;\;r_2\;>$ 0.99) for all analytes. The intraand inter-day precisions were lower than 4.3% (as a relative standard deviation, RSD) and accuracies between 95.1% and 104.4%. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of one reference sample. The RSD of intra- and inter-day variation of relative retention time (RRT) and relative peak area (RPA) of the 12 selected common peaks were below 0.8% and 4.7%, respectively. The developed methods were applied to analysis of twenty Herba Epimedii extract samples. Contents of hyperin, epimedin A, epimedin B, epimedin C, and icariin were calculated to be 0$\sim$0.79, 0.69$\sim$1.91, 0.93$\sim$9.58, 0.65$\sim$3.05, and 2.43$\sim$11.8 mg/g dried plant. Principal component analysis (PCA) showed that most samples were clustered together with the reference samples but several apart from the main cluster in the PC score plot, indicating differences in overall chemical composition between two clusters. The present study suggests that quantitative determination of marker compounds combined with pattern-recognition method can provide a comprehensive approach for the quality assessment of herbal medicines.

• Journal of the Korea Society for Simulation
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• v.20 no.4
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• pp.115-125
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• 2011

Manufacturing companies usually manage the process to achieve high quality using various types of control chart in statistical process control. When an assignable cause occurs in a process, the data in the control chart changes with different patterns by the specific causes. It is important in process control to classify the CCP (Control Chart Pattern) recognition for fast decision making. In former research, gathered data from process used to apply as raw data, leads to degrade the performance of recognizer and to decrease the learning speed. Therefore, feature based recognizer, employing feature extraction method, has been studied to enhance the classification accuracy and to reduce the dimension of data. We propose the method to extract features that take the distances between CCP data and reference vector generated from BDK (Bi-Directional Kohonen Network). We utilize those features as the input vectors in ANN (Artificial Neural Network) and compare with raw data applied ANN to evaluate the performance.

• Journal of the Korean Home Economics Association
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• v.46 no.9
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• pp.137-146
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• 2008

This study was conducted in order to spread out lower body 3D scan data of men in their twenties. The aim was to achieve slacks pattern with ease allowance through comparison with existing flat patterns. For conversion of 3D scan data into 20 pattern, reference lines were established by using Rapid Foam in 3D shape analysis software. 2C-AN program and Yuka CAD were used to convert 20 pattern earned with straight posture of 3D scan data into slacks pattern by using Triangle Simplification & Runge-Kutta Method. In order to achieve this we needed to set a line 9cm below the hip line, to array vertex of each block to crease line while maintaining the horizontal line. And then we needed to set ease allowance in back crotch and to set waist circumference or hip circumference ease allowance in side seam of slacks. Results showed that long front crotch length can be achieved if 3D scan data is compared with 20 existing flat pattern. Slacks pattern that raise front crotch by about 1.5cm compared to back crotch and also possess ease allowance in back crotch area are great in appearance evaluation.

• Information Systems Review
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• v.17 no.2
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• pp.219-238
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• 2015

As Internet and IT have been developed, people have been exposed to large amounts of information. So, many online information providers recommend relevant information to users to relieve an information overload. However, information recommendation which is based on the taste and preference of a user can lead to a problem of unbalanced information consumption. Prior research about online information has not investigated the side-effect of a recommendation function. This research suggests IT solutions for alleviating unbalanced information consumption behavior. Based on adaptation level theory and expectancy theory, we proposed self-reference point diagnosticity interface and social-reference point diagnosticity interface to help people to consume information following their own information consuming goal. We hypothesized positive impacts of these two interfaces on the self-awareness about information consuming pattern. And we predicted that self-awareness has a positive impact on the motivation and actual behavior to conform the ideal information consuming pattern which the user sets. Laboratory experiment was executed as a research method. As a result, the self-reference diagnosticity interface leaded to higher self-awareness and mitigated the unbalanced information consumption. But, the social-reference diagnosticity interface and the motivation to improve the information consuming behavior had no significant results. Academic and practical implications are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.909-916
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• 2009

This paper presents the automatic vision algorithm to generate and calibrate reference phase plane to improve the accuracy of 3D measuring machine of using phase shifting projection moire method, which is not traditional N-bucket method, but is based on direct image processing method to the pattern projection image. Generally, to acquire accurate reference phase plane, the calibration specimen with well treated surface is needed, and detailed calibration method should be performed. For the cost reduction of specimen manufacturing and the calibration time reduction, on the specimen, not specially designed, with general accuracy level, an efficient calibration procedure for the reference phase generation is proposed. The proposed vision algorithm is developed to extract the line center points of the projected line pattern from acquired images, derive the line feature information consisting of its slope and intercept by using sampled feature points, and finally generate the related reference phase between line pairs. Experimental results show that the proposed method make reference phase plane with a good accuracy under noisy environment and the proposed algorithm can reduce the total cost to make high accurate calibration specimen, also increase the accuracy of reference phase plane, and reduce the complex calibration procedure to move grid via N-bucket algorithm precisely.

• Korean Journal of Veterinary Service
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• v.35 no.4
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• pp.263-268
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• 2012

From the end of July 2012, several cases of abortion have been happened at the Korean indigenous cattle farm with 124 heads in Chungbuk province, Korea. Serological tests such as Rose-bengal test (RBT) and standard tube agglutination test (STAT) have been performed according to the standard official protocols of bovine brucellosis and 41 cattle turned out to be brucellosis-positive simultaneously. To find out the main factors of brucellosis outbreaks and spreads, additional serological, etiological and molecular investigation were applied. Totally, 11 B. abortus were isolated from 10 cattle's specimens including lymph-nodes and/or testis, and drinking water in cowhouse. In genotyping by multi-locus VNTR assay (MLVA) using 17 loci markers, the present B. abortus isolates were shown all the same pattern, D1 genotype, which has been reported in Gyeonggi and Gangwon province, Korea. These results suggest that the input of brucellosis might come from neighboring farms directly or indirectly, even if by unknown factor and expansion within farm would accelerate by materials related with aborting cows.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.429-432
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• 2001

지문영상의 특이점(Singularities) 중의 하나인 Core Point는 대부분의 지문인증 시스템에서 기준점(Reference Point)으로 사용되고 있다. 또한 Core Point의 검출은 전체 지문인증 시스템의 가장 기본적인 단계로서 전체 시스템의 성능에 많은 영향을 준다. 본 논문에서는 지문 영상의 방향 패턴(Orientation Pattern)과 이의 리레이블링(Re-labeling)을 이용한 Core Point 검출 방법을 제안하고, 기존의 Poincare Index를 이용하는 방법 및 Sine Map을 이응한 방법과 비교, 분석하였다.

• Proceedings of the KIEE Conference
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• summer
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• pp.587-589
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• 2004

In this paper analytical pattern classification of TRV waves created by double-frequency synthetic test circuit was proposed. According to the classified patterns of the TRV wave, calculation methods of 3 reference lines and 4 parameters characterizing the TRV wave wire proposed. These methods can be utilized to optimize test facility and to standardize test quality.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10b
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• pp.782-785
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• 1988

A two-dimensional positioning system by use of an M-array is proposed. An M-array pattern, which is known as one of the two-dimensional pseudorandom array, is attached on an object to be positioned. The M-array pattern is observed by a TV camera and crosscorrelated with the reference M-array. The maximum of the two-dimensional crosscorrelation function is sought by two-dimensional servo system. This method of positioning can be used in very noisy circumstances.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.68-72
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• 1990

This paper describes a method of calculating the viewing parameters of a camera using a perspective view of a circular pattern. The proposed method determines the angle of pan, tilt, and swing, as well as the distance from the camera to the reference point of a world coordinate system, using simple equations. The proposed method is so simple and accurate that when used in a well-controled environment as in robot vision systems or visual inspection systems it may even seem trivial.