• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.6-9
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• 2012

In this study, we compare two image denoising methods which are the Rudin-Osher-Fatemi total variation (TV) model and the nonlocal means (NLM) algorithm on medical images. To evaluate those methods, we used two well known measuring metrics. The methods are tested with a CT image, one X-Ray image, and three MRI images. Experimental result shows that the NML algorithm can give better results than the ROF TV model, but computational complexity is high.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.299-302
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• 1993

Some well known order reduction methods are briefly described and a nev order reduction technique is introduced. A comparison of the various classes of order reduction approaches are indicated. Furthermore, the question is raised how order reduction should be executed with respect to controller design. Finally, by means of an example, results of the discussed approaches are compared.

• 한국데이터정보과학회:학술대회논문집
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• 2005.04a
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• pp.185-192
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• 2005

There are many data mining techniques such as association rule, decision tree, neural network analysis, clustering, genetic algorithm, bayesian network, memory-based reasoning, etc. We analyze 2003 Gyeongnam social indicator survey data using k-means clustering technique for environmental information. Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper, we used k-means clustering of several clustering techniques. The k-means clustering is classified as a partitional clustering method. We can apply k-means clustering outputs to environmental preservation and environmental improvement.

• Proceedings of the Korea Society of Costume Conference
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• 2001.08a
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• pp.123-123
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• 2001

• Communications for Statistical Applications and Methods
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• v.27 no.4
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• pp.431-443
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• 2020

The K-means clustering algorithm has had successful application in sufficient dimension reduction. Unfortunately, the algorithm does have reproducibility and nestness, which will be discussed in this paper. These are clear deficits for the K-means clustering algorithm; however, the hierarchical clustering algorithm has both reproducibility and nestness, but intensive comparison between K-means and hierarchical clustering algorithm has not yet been done in a sufficient dimension reduction context. In this paper, we rigorously study the two clustering algorithms for two popular sufficient dimension reduction methodology of inverse mean and clustering mean methods throughout intensive numerical studies. Simulation studies and two real data examples confirm that the use of hierarchical clustering algorithm has a potential advantage over the K-means algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.5
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• pp.529-535
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• 2014

In this paper, we propose a hybrid approach towards multiple kernels interval type-2 possibilistic fuzzy C-means(PFCM) based on interval type-2 possibilistic fuzzy c-means(IT2PFCM) and possibilistic fuzzy c-means using multiple kernels( PFCM-MK). In case of noisy data or overlapping cluster prototypes, fuzzy C-means gives poor performance in comparison to possibilistic fuzzy C-means(PFCM). Moreover, to address the uncertainty associated with fuzzifier parameter m, interval type-2 possibilistic fuzzy C-means(PFCM) is used. Most of the practical data available are complex and non-linearly separable. In such cases using Gaussian kernels proves helpful. Therefore, in order to overcome all these issues, we have integrated multiple kernels possibilistic fuzzy C-means(PFCM) into interval type-2 possibilistic fuzzy C-means(IT2PFCM) and propose the idea of multiple kernels based interval type-2 possibilistic fuzzy C-means(IT2PFCM-MK).

• Korean Journal of Child Studies
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• v.34 no.2
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• pp.27-42
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• 2013

The purpose of this study was to examine: (1) the relationships among internalization of sociocultural attitudes toward appearance, body comparison, and body dissatisfaction in adolescent girls; and (2) whether or not body comparison mediates the relationship between internalization of sociocultural attitudes toward appearance and body dissatisfaction. The participants consisted of 291 girls from fifth through ninth grades. The data were collected by means of questionnaires given in classroom settings. The findings are as follows: there are significant bivariate correlations among internalization of sociocultural attitudes toward appearance, body comparison, and body dissatisfaction. Furthermore, body comparison partially mediates the relationship between internalization of sociocultural attitude towards appearance and body dissatisfaction. These results seem to indicate that the idea that there are multiple standards of beauty and individuality for every person should be promoted, and this in turn could lower the risk of body dissatisfaction among adolescent girls.

• Steel and Composite Structures
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• v.4 no.3
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• pp.247-263
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• 2004

Comparison of behaviour of shear connections by means of shear-connection strips (perfobond and comb-shaped strips) and headed studs under static and repeated loading, possible failure modes of concrete dowels and ways of the quantitative differentiation of some failure modes are described in the paper. The article presents a review of knowledge resulting from the analysis of shear-connection effects based on tests of perfobond and comb-shaped strips carried out in the laboratories of the Faculty of Civil Engineering of the Technical University of Kosice (TU of Kosice) in Slovakia and their comparison with results obtained by other authors.

• Journal of IKEEE
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• v.3 no.2 s.5
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• pp.285-294
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• 1999

This paper presents a method for the generation of GRM coefncients over GF(3) by using a comparison of polarity. In general production method to GRM coefficients over GF(3) is searching for pn different polarity of an n-variable and from these optimal function according to the maximum number of zero coefficients is selected. This paper presents a method for the generation of GRM coefficients by means of compare to the number of zero coefficients without constructing the whole polarity GRM coefficients.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.23-46
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• 2003

Today ordinary consumers have the option of buying the products/services through Internet commerce, home shopping, or traditional commerce. This study compares the means-ends objective measures comprising the customer satisfaction with each type of commerce. Means objective variables consist of product variety, impulsive buying, comparison shopping, product information, and accuracy of transaction. Ends objective variables include convenience, safety, time saving, cost reduction, and shopping enjoyment. Results of data analysis indicate that ends objective variables are directly related with the behavioral intention of customers, and that each type of commerce has its own pros and cons which in turn provides the basis for differentiated customer satisfaction.