• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.179-186
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• 2008

In this paper we analyse the effects of Bayesian algorithm in teaming class imbalance problems and compare the performance evaluation methods. The teaming performance of the Bayesian algorithm is evaluated over the class imbalance problems generated by priori data distribution, imbalance data rate and discrimination complexity. The experimental results are calculated by the AUC(Area Under the Curve) values of both ROC(Receiver Operator Characteristic) and PR(Precision-Recall) evaluation measures and compared according to imbalance data rate and discrimination complexity. In comparison and analysis, the Bayesian algorithm suffers from the imbalance rate, as the same result in the reported researches, and the data overlapping caused by discrimination complexity is the another factor that hampers the learning performance. As the discrimination complexity and class imbalance rate of the problems increase, the learning performance of the AUC of a PR measure is much more variant than that of the AUC of a ROC measure. But the performances of both measures are similar with the low discrimination complexity and class imbalance rate of the problems. The experimental results show 4hat the AUC of a PR measure is more proper in evaluating the learning of class imbalance problem and furthermore gets the benefit in designing the optimal learning model considering a misclassification cost.

• Korean Journal of Social Welfare
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• v.67 no.1
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• pp.5-29
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• 2015

Career development of Korean Immigrant Adolescents is important element for their Korea social adjustment and reduction of social exclusion. Especially, vocational identity is considered significantly for their career development. This study investigated the relationships and levels of discrimination, depression, self-esteem on vocational identity by comparing Korean immigrant adolescents and non-Immigrant adolescents(Korean parents family: non poor family or poor family). The major findings of this study can be summarized as follows. First, the depression level of immigrant adolescents is higher than non poor family adolescents and their self-esteem level is lower than non poor family adolescents by means analysis. second, The path analysis and multi group analysis showed that the degree of discrimination by perceived immigrant adolescents had direct influence on vocational identity and also mediated depression, self-esteem as indirect influence. But non poor family adolescents and poor family adolescents showed that their degree of discrimination had only indirect influence on vocational identity as mediation of depression, self-esteem. The result of analysis were used to discuss theoretical, practical implication for career development of Korea immigrant adolescents.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1529-1529
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• 2001

The watercore in apple is very important factor in storage and sorting of fruit. Most consumers tend to prefer the apple included watercore in immediately after harvest, however the watercore causes fruit flesh to brown during storage and lose the worth after all. But it is practically impossible to judge to the naked eye whether an apple has watercore or not. Therefore, the rapid, accurate and non-destructive analysis method for discrimination of watercore should be settled without delay. In this study we attempted the discrimination and quantitative analysis of watercore in apple fruit using near-infrared transmittance spectroscopy ‘Fuji’ apple fruits produced in Kyungpook of Korea was used in this experiment. The watercore content in apple was evaluated by graphic treatment of culled slice sections(10 mm). NIR transmittance spectra were collected over the 500 to 1000 nm spectral region with a spectrometer (Sentronic Co., Germany). The calibration models were carried out by partial least squares (PLS) analysis between NIR spectra data of apples and chemical data of watercore content. The spectra were different in absorbance between apple included watercore and not included one. Apple included watercore had higher absorption band than sample not included one at 732 and 820 nm. The calibration model seems to be accurate to predict the watercore content in apple fruit, the correlation coefficient (R) and root mean square error of prediction (RMSEP) were 0.99 and 0.93%, respectively. This result indicates that the PLSR calibration model by using NIR transmittance spectroscopy could be used for discrimination of watercore in apple fruit.

• The Journal of the Acoustical Society of Korea
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• v.37 no.4
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• pp.188-195
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• 2018

A new directional linear array structure and its signal processing method are presented to resolve the left/right ambiguity inherent in a linear array. The array structure combines an ordinary acoustic sensor array with a DIFAR (Directional Frequency Analysis and Recording) sensor array, keeping a linear array configuration and gaining a instantaneous left/right discrimination. It presents better PSRR (Port-Starboard Rejection Ratio) in low frequency band and low SNR (Signal to Noise Ratio) situation as compared with a conventional twin linear array, and good compromise to easily upgrade an existing linear array system to a new one with a left/right discrimination capability.

• Journal of the Korean Society of Costume
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• v.28
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• pp.99-112
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• 1996

In this study I purpose a new approach to the study of Korean costume history which includes a statistical method used in the prac-tical measurement of excavated Po's and the analysis of their quantitative changes. In the framework used in this study I de-pend on the nineteen variables picked out from the typological and chronological analysis of excavated clothes. The interrelationship of the variables as well as the standard of each part and its deviation in other forms are may main concern. Other methods are also very useful in my thesis: Correlation analysis Regression analysis Discrimination analysis Cluster analysis Discrimination analysis Cluster analysis Factor analysis One way analysis of variance. The findings of my study can be summarized as follows: 1. Every type of po has a general tendency to have more broadened sleeves while it does not show any considerable changes in the total length and in the width of armholes. 2. In the Correlation analysis each part of Po's is handled separately accordign to its chronology and type. The Regreesion analysis makes it possible to provide the sizes of miss-ing parts in excavated clothes and the numeri-cal value of each part needed in the pattern making. 3. The Discrimination analysis of the Po's whose types are unknown leads to the con-clusion that Chongsam and Chikryong Po are classified into Chikryong Po whereas Hongui is classified into Jooui In addition I propose discriminational function by which the age classification is possible discovering the variables associated with time change. 4. Five items-Gerneral Park's clothes Taewongun's clothes and three others produced later for the purpose of preserving Korean costume are proved to be in a differ-ent group and hence analyzed separately in the visual grouping of changui which is done after the cluster analysis and the factor analysis. 5. The results of the one way analysis of variance reveal that there is a difference in each part from period: the back width the sleeve length the sleeve width thelean fig-ure the breasttie length the breasttie width outside quesset upper inside quesset lower outside neckband length insideneckband length etc.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.167-175
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• 2016

The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.

• Journal of Ginseng Research
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• v.37 no.3
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• pp.341-348
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• 2013

Identification of the origins of Panax ginseng has been issued in Korea scientifically and economically. We describe a metabolomics approach used for discrimination and prediction of ginseng roots from different origins in Korea. The fresh ginseng roots from six ginseng cooperative associations (Gangwon, Gaeseong, Punggi, Chungbuk, Jeonbuk, and Anseong) were analyzed by UPLC-MS-based approach combined with orthogonal projections to latent structure-discriminant analysis multivariate analysis. The ginsengs from Gangwon and Gaeseong were easily differentiated. We further analyzed the metabolomics results in subgroups. Punggi, Chungbuk, Jeonbuk, and Anseong ginseng could be easily differentiated by the first two orthogonal components. As a validation of the discrimination model, we performed blind prediction tests of sample origins using an external test set. Our model predicted their geographical origins as 99.7% probability. The robust discriminatory power and statistical validity of our method suggest its general applicability for determining the origins of P. ginseng samples.

• Journal of the Korean Society of Safety
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• v.15 no.2
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• pp.1-7
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• 2000

This paper presents the approach involving fault detection and diagnosis of gears using pattern recognition and Wavelet transform. It describes result of the comparison between KDI (Kullback Discrimination Information) with the nearest neighbor classification rule as one of pattern recognition methods and Wavelet transform to know a way to detect and diagnosis of gear damages experimentally. To model the damages 1) Normal (no defect), 2) one tooth is worn out, 3) All teeth faces are worn out 4) One tooth is broken. The vibration sensor was attached on the bearing housing. This produced the total time history data that is 20 pieces of each condition. We chose the standard data and measure distance between standard and tested data. In Wavelet transform analysis method, the time series data of magnitude in specified frequency (rotary and mesh frequency) were earned. As a result, the monitoring system using Wavelet transform method and KDI with nearest neighbor classification rule successfully detected and classified the damages from the experimental data.

• The Korea Journal of Herbology
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• v.27 no.6
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• pp.15-21
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• 2012

Objective : Lonicera japonica THUNB. a traditional herbal medicine, has been commonly used anti-inflammatory disease. It has been very complicated with respect to its sources on the market. The significant selection of medicine depends on its origin. However, it is difficult to discrimination criteria for confirming L. japonica authenticity using the senses. This study was performed to determine the discriminant analysis of L. japonica and L. confusa. Methods : The identification of L. japonica and L. confusa were performed by the classification and identification committee of the national center for standardization of herbal medicines. And we examined its differences using HPLC and genetic marker analysis. Results : The analytical pattern of High Performance Liquid Chromatography was determined from the corresponding peak curves ((E)-aldosecologanin, chlorogenic acid, luteolin 7-O-glucoside, sweroside). For L. japonica, additional unknown peaks were detected at 13.8 min, 20.6 min, and 36.9 min. And, we developed genetic marker using the the tRNA-Leu gene, trnL-trnF intergenic spacer and tRNA-Phe region of chloroplast DNA. By the method, 164 bp PCR product amplified from L. confusa was distinguished into L. japonica and L. confusa efficiently. Conclusion : Base on these results, two techniques provide effective approaches to distinguish L. japonica from L. confusa.

• Journal of Labour Economics
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• v.34 no.3
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• pp.81-117
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• 2011

This study examined how firms responded to the articles regarding the prohibition or correction of discrimination against fixed-term workers in the 'fixed-term worker protection law', which has been effective since July of 2007 in Korea. Data used cone from the Korean Workplace Survey, and a difference-in-differences method was employed for the identification of the causal effect, noting that the 'discrimination prohibition law' has been applied to firms over stages based on their sizes. The empirical results show no strong evidence that the law played a positive role in reducing differentials between permanent workers and fixed-term workers in the areas of wage and various employee benefits, including the provision of severance pay, annual leave, and 4 major social insurances for fixed-term workers. A more thorough future analysis on the causes of the insignificant impact of the law in some employee welfare benefits, along with supplemental policies, is needed to have the law achieve the desired goal of removing discrimination at the workplace.