• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.201-212
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• 2017

This study presented the new evaluation index which can evaluate the discrimination of DEA models. To evaluate the discrimination of DEA models, data were analyzed using importance index as suggested in previous study and the coefficient of variation as suggested in this study for the discrimination evaluation. This study selected the CCR-DEA, BCC-DEA, entropy, bootstrap, super efficiency, and cross efficiency DEA model for the discrimination evaluation and accomplished empirical analysis. In order to grasp the rank correlation of the models, this study implemented the rank correlation analysis between the efficiency of CCR model and BCC model and entropy, bootstrap, super efficiency, and efficiency of the cross efficiency model. The obtained results of this study are as follows. First, the discrimination rank of models using the importance index and the coefficient of variation was shown to be identical. Therefore, the coefficient of variation can be used the discrimination evaluation index of DEA model. Second, the discrimination of the super efficiency model was found to be the highest rank among 4 models according to the analysis of this present study. Third, the highest rank correlation with CCR model was the super efficiency model. In addition, the super efficiency model was found to be the highest rank correlation with BCC model.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3359-3366
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• 2023

In this study, a spiking cortical model (SCM) based n-g discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero-crossing. The objective evaluation criteria used for the comparison are the FoM-value and the time consumption of discrimination. Experimental results demonstrated that our proposed method outperforms the other methods significantly with the highest FoM-value. Specifically, the proposed method exhibits a 34.81% improvement compared with the PCNN, a 50.29% improvement compared with the charge comparison, and a 110.02% improvement compared with the zero-crossing. Additionally, the proposed method features the second-fastest discrimination time, where it is 75.67% faster than the PCNN, 70.65% faster than the charge comparison and 38.4% slower than the zero-crossing. Our study also discusses the role and change pattern of each parameter of the SCM to guide the selection process. It concludes that the SCM's outstanding ability to recognize the dynamic information in the pulse signal, improved accuracy when compared to the PCNN, and better computational complexity enables the SCM to exhibit excellent n-γ discrimination performance while consuming less time.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.2
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• pp.280-291
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• 1987

In this paper, the linear autoregressive model of EMG signal for four basic arm functions was presented and parameters for each function were estimated. The signal identification was carried out using function discrimination algorithm. It was validated that EMG signal was a widesense stationary process and the linear autoregressive model of EMG signal was constructed through approximating it to Gaussian process. It was confined that Levinson-Durbin algoridthm is a more appropriate one than the recursive least square method for parameter estimation of the linear model. Optimal function discrimination was acquired when sampling frequency was 500Hz and two electrodes were attached to bicep and tricep muscle, respectively. Parameter values were independent of variance and the number of minimum data for function discrimination was 200. Bayesian discrimination method turned out to be a better one than parallel filtering method for functional discrimination recognition.

• Journal of Navigation and Port Research
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• v.29 no.9
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• pp.807-812
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• 2005

The objective of this study is to empirically investigate the effect of gender discrimination to female workers in Korean shipping firms on the their organization commitment and organizational citizenship behavior. In carrying out the objective of this study, two hypotheses about the structural relationship among gender discrimination, organization commitment and organizational citizenship behaviors in the Korean shipping firms are established after reviewing the related studies. Survey questionnaires are distributed and analyzed to test the reliability and validity of the response. Also, a structural equation model is established and the model is analyzed by AMOS. In conclusion, there are a negative effect of gender discrimination on female workers' organizational commitment and a positive effect of their commitment on OCB. Through this paper, the comprehensive understanding of the structural relationship among gender discrimination, organization commitment and organizational citizenship behavior would be promoted.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.221-222
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• 2005

In this paper, application of NN (Neural Network) as a method of pattern discrimination of PD(partial discharge) which occurs at the stator coil of traction motor was studied. For PD data acquisition, three defective models are manufactured such as internal discharge model, slot discharge model and surface discharge model. PD data for recognition were acquired from PD detector and DAQ board which is able to analysis the PD signal and perform the pattern discrimination. Statistical distributions and parameters are calculated to discriminate PD sources. And also these statistical distribution parameters are applied to classify PD sources by BP and has good recognition rate on the discharge sources.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.163-170
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• 2019

The purpose of this study is to examine the effects of discrimination abuser experiences and discrimination victim experiences on the human rights consciousness of children in community children, In order to understand the role of self-esteem as a mediating role between these two variables, And to find practical and policy implications. For this purpose, we selected 662 elementary school sixth graders who participated in the second panel of the community children's center, the third year (2016), as the sample and used the structural equation model validation method. As a result of this study: First, the experience of discrimination abuser against children in the community children's center has negative effects on self - esteem. Second, the self-esteem of children in the community children's center showed a statistically significant effect on human rights consciousness. Third, the experiences of child discrimination abuse and discrimination of local children's centers showed significant influence on children's consciousness of human rights through self - esteem. In conclusion, we proposed practical use measures to promote positive emotional development and human rights consciousness of children in community children's centers.

• MALSORI
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• no.46
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• pp.37-50
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• 2003

In this paper, we evaluate and compare the performance of speech/music discrimination based on various feature parameters and classifiers. As for feature parameters, we consider High Zero Crossing Rate Ratio (HZCRR), Low Short Time Energy Ratio (LSTER), Spectral Flux (SF), Line Spectral Pair (LSP) distance, entropy and dynamism. We also examine three classifiers: k Nearest Neighbor (k-NN), Gaussian Mixure Model (GMM), and Hidden Markov Model (HMM). According to our experiments, LSP distance and phoneme-recognizer-based feature set (entropy and dunamism) show good performance, while performance differences due to different classifiers are not significant. When all the six feature parameters are employed, average speech/music discrimination accuracy up to 96.6% is achieved.

• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.117-149
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• 2011

This study examined the relationship between discrimination experienced by children of multicultural families and their psychological distress. As new minorities growing up with bicultural identities in Korean society, children from multicultural families are often exposed to racial discrimination and such experience often acts as a stressor in their everyday life. In order to examine the effect of discrimination on their psychological distress as well as the role of social support, a survey was conducted in 25 elementary schools in Daejeon city and Chungnam and Chungbuk province. Results indicated that children's experiences of discrimination significantly affected their psychological distress level that the more they were exposed to discrimination, the higher levels of depression and anxiety they experienced. Among social support domains, only peer support was found to be significantly related to both the experience of discrimination and their depression and anxiety levels. Supporting the social support deterioration model, the findings showed that more experiences of discrimination led to reduced peer support which in turn, increased the likelihood of being depressed and anxious. Peer support was also significant in partially mediating the discrimination-psychological distress relationship. Implications for social work practice with children from multicultural families are provided.

• Near Infrared Analysis
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• v.1 no.2
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• pp.41-44
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• 2000

The objectives of this study are to discriminate the geographical origin and cultivation years of ginseng based on the near-infrared(NIR) reflectance spectroscopic analysis. Korea and China ginseng samples were prepared for discrimination of geographical origin. 4, 5 and 6 years-old ginseng samples from Korea were prepared for discrimination of cultivation years. Used spectrometer were InfraAlyzer 500, InfraAlyzer 400 and Fiber optic. Sample type of ginseng was 3, whole ginseng radix, slide section and powder type. The accuracy was affected by sample types and instruments. The accuracy for discrimination geographical origin was 97% in calibration model using IA 500 and ginseng powder. For discrimination of cultivation years, the model with slide selection using IA500 were relative accurate. The accuracy was 96.7% for 4-year, 91.3% for 5-year and 89.3% for 6-year old ginseng. The study shows that NIR spectroscopic analysis can be used to discriminate the geographical origin and cultivation years of ginseng with acceptable accuracy.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.6
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• pp.1546-1555
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• 2015

This study was performed to analyze the item characteristics of competency inventory for designer (CID), which Gil (2011) developed for measurement of design competency. To accomplish the purpose of this study, general partial credit (GPC) model based on polytomous item response theory was applied. The findings were as follows: First, CID is a reliable instrument for measuring design competency. Second, most items of CID have low item discrimination and average item difficulty according to the GPC model. Especially, there are some problems to have low item discrimination in view of validation. To improve the goodness of CID, we will need to examine why CID has low item discrimination.