• Horticultural Science & Technology
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• v.30 no.3
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• pp.278-285
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• 2012

Cymbidium goeringii is one of the most important and popular species in the orchid family in north-east Asia. In the present study, we prepared multiplex PCR system, and used it for the genotyping of eight simple sequence repeats (SSR) markers (CG409, CG415, CG709, CG722, CG787, CG1023, CG1210, and CG1281) in subject with 40 samples of cultivated varieties. All the analyzed samples showed different combined genotypes. The average combined power of discrimination was very high value of $7.14{\times}10^{-10}$, and observed heterozygosity (Ho = 0.466) was similar with two wild populations of C. goeringii, which may indicate no or little occurrence of genetic change after collection from wild habitats. The present study also developed a two-dimensional barcode to express information of genotype results of eight SSR markers (SSR DNA ID). The discrimination power of DNA ID between two individuals will be statistically more than 99.999999%. The SSR DNA ID and two-dimensional barcode may be very usefully applied for the discrimination and maintence of cultivars of C. goeringii.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.5
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• pp.247-254
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• 2002

This paper describes a fault location algorithm in real combined transmission systems with underground power cable. The algorithm to calculate the fault location was developed using DWT wavelet transform and travelling wave occurred at fault point. And the proposed algorithm is also used the transient signal of one end in stead of the signal information of two ends. On the other hand, in this papers, the method to discriminate fault point between overhead line and cable section is also Proposed. Variety simulations were carried out to verify the accuracy and effectiveness of the proposed algorithm using EMTP/ATFDraw and Matlab. Simulation results show that the proposed method has the excellent ability for discrimination of fault section and fault location in combined transmission systems with power cables.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.50 no.6
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• pp.806-811
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• 2017

A multiplex PCR system comprising 14 microsatellite markers was developed for genotyping analysis of the sea cucumber Stichopus japonicus. A total of 286 samples were used to evaluate genetic polymorphisms and forensic parameters of the microsatellite loci. In a single PCR reaction, all 14 loci were uniformly amplified and a total of 269 alleles were identified. The AJ19024 locus had the largest number of alleles (46), and its discriminatory power and exclusion power were 0.99 and 0.76, respectively. The fewest alleles (8) were present at the Psj2575 locus, which provided the lowest discriminatory power (0.81) and exclusion power (0.20). The mean number of alleles, mean heterozygosity, mean discrimination power and mean exclusion power per locus were 19.21, 0.70, 0.93, and 0.46, respectively. The combined matching probability for the 14 loci was $9.64{\times}10^{-19}$, and the combined power of exclusion was 0.999995. Thus, the forensic parameters evaluated in the present study demonstrated the utility of our multiplex PCR system for biological tracing methods, such as individual identification and paternity testing, in the sea cucumber.

• 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.

• Korean Journal of Radiology
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• v.22 no.3
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• pp.415-424
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• 2021

Objective: To determine whether noncontrast computed tomography (NCCT) models based on multivariable, radiomics features, and machine learning (ML) algorithms could further improve the discrimination of early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH). Materials and Methods: We retrospectively reviewed 261 patients with sICH who underwent initial NCCT within 6 hours of ictus and follow-up CT within 24 hours after initial NCCT, between April 2011 and March 2019. The clinical characteristics, imaging signs and radiomics features extracted from the initial NCCT images were used to construct models to discriminate early HE. A clinical-radiologic model was constructed using a multivariate logistic regression (LR) analysis. Radiomics models, a radiomics-radiologic model, and a combined model were constructed in the training cohort (n = 182) and independently verified in the validation cohort (n = 79). Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate the discriminative power. Results: The AUC of the clinical-radiologic model for discriminating early HE was 0.766. The AUCs of the radiomics model for discriminating early HE built using the LR algorithm in the training and validation cohorts were 0.926 and 0.850, respectively. The AUCs of the radiomics-radiologic model in the training and validation cohorts were 0.946 and 0.867, respectively. The AUCs of the combined model in the training and validation cohorts were 0.960 and 0.867, respectively. Conclusion: NCCT models based on multivariable, radiomics features and ML algorithm could improve the discrimination of early HE. The combined model was the best recommended model to identify sICH patients at risk of early HE.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.2
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• pp.18-26
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• 2005

The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

• Journal of Biomedical Engineering Research
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• v.22 no.4
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• pp.369-375
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• 2001

The statistical regression model is one of the most frequently used clinical analysis methods. It has basic assumption of linearity, additivity and normal distribution of data. However, most of biological data in medical field are nonlinear and unevenly distributed. To overcome the discrepancy between the basic assumption of statistical model and actual biological data, we propose a new analytical method based on artificial neural network. The newly developed multilayer perceptron(MLP) is trained with 120 data set (60 normal, 60 patient). On applying test data, it shows the discrimination power of 0.76. The diabetic risk factors were also identified from the MLP neural network model and the logistic regression model. The signigicant risk factors identified by MLP model were post prandial glucose level(PP2), sex(male), fasting blood sugar(FBS) level, age, SBP, AC and WHR. Those from the regression model are sex(male), PP2, age and FBS. The combined risk factors can be identified using the MLP model. Those are total cholesterol and body weight, which is consistent with the result of other clinical studies. From this experiment we have learned that MLP can be applied to the combined risk factor analysis of biological data which can not be provided by the conventional statistical method.

• Journal of IKEEE
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• v.19 no.4
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• pp.526-534
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• 2015

In this paper, we studied the use of the foreground and background features and SVM classifier to improve the accuracy of offline handwritten numeral recognition. The foreground features are two directional features: directional gradient feature by Kirsch operators and directional stroke feature by local shrinking and expanding operations, and the background feature is concavity feature which is extracted from the convex hull of the numeral, where the concavity feature functions as complement to the directional features. During classification of the numeral, these three features are combined to obtain good discrimination power. The efficiency of our scheme is tested by recognition experiments on the handwritten numeral database CENPARMI, where SVM classifier with RBF kernel is used. The experimental results show the usefulness of our scheme and recognition rate of 99.10% is achieved.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2587-2605
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• 2022

In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

• Archives of Reconstructive Microsurgery
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• v.18 no.2
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• pp.62-66
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• 2009

Purpose: Despite the free tissue transfer using microsurgical technique being the current trend of soft tissue reconstruction of the hand, the pedicled groin flap has the advantage to provide coverage for the mangled hand without necessitating the use of a damaged arterial system and also providing the benefit of saving the arterial system for later free tissue transfer. This report presents the author's experience using pedicled groin flap in four cases of mangled hands with massive bone and soft tissue defects requiring later thumb reconstruction with the free wrap around flap. Materials and methods: The patients' age ranged from 30 to 51 years; three patients were male and one was female. The causes of mangled hand included two machinery crush injuries, one laboratory explosion and one motor vehicle accident. While evaluating the post-operative results, factors like flap survival, complications, stability in opposition, pinch power and 2 point discrimination were taken into account. Results: All massive soft tissue defects of the hands were completely covered with pedicled groin flap successfully. The reconstructed thumb using free wrap around flap did not have any limitation in opposition. There was no occurrence of post-operative infection and all the flaps survived completely. The average pinch power was 70% of the contralateral intact thumb and average 2 point discrimination was 10 mm. Conclusion: The pedicled groin flap for the reconstruction of the massive soft tissue defects of the hand with subsequent reconstruction of the thumb with a wrap around flap is a very useful procedure. The combined use of pedicled groin flap and wrap around flap allows adequate coverage of sizable soft tissue defects and functional thumb opposition in cases of reconstruction of the mangled hands.