• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 A
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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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• 한국데이터정보과학회 2005년도 춘계학술대회
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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.

• 한국복식학회:학술대회논문집
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• 한국복식학회 2001년도 19th International Costume Association Congress
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• pp.123-123
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• 2001

• Communications for Statistical Applications and Methods
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• 제27권4호
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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.

• 한국지능시스템학회논문지
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• 제24권5호
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• pp.529-535
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• 2014

본 논문에서는 interval type-2 possibilistic fuzzy C-means(IT2PFCM) 클러스터링 방법에 multiple Gaussian kernels을 기반으로 한 possibilistic fuzzy C-means multiple kernels(PFCM-MK) 알고리즘을 결합하여 적응적인 하이브리드 클러스터링 방법인 multiple kernels interval type-2 possibilistic fuzzy C-means(IT2PFCM-MK) 방법을 제안 하였다. 일반적으로 possibilistic fuzzy C-means(PFCM) 알고리즘은 fuzzy C-means(FCM) 알고리즘의 단점인 노이즈 민감성 및 특이점 문제와 알고리즘 초기 클러스터의 Prototype에 따라 위치가 겹치는 문제를 해결하기 위해 제안 되었다. 하지만 이 방법 역시 퍼지화 파라미터 값에 따라 위와 같은 문제를 여전히 가지고 있기 때문에 이와 같은 문제를 보완하기 위해 interval type-2 퍼지 접근 방법을 이용 하는 interval type-2 possibilistic fuzzy C-means(IT2PFCM) 알고리즘을 제안 하였다. 또한 multiple kernels 함수를 interval type-2 possibilistic fuzzy C-means(IT2PFCM) 알고리즘에 적용하여 분류하기 복잡한 형태의 데이터와 노이즈가 있는 데이터에 대하여 보다 정확하고, 향상된 클러스터링을 수행할 수 있다.

• 아동학회지
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• 제34권2호
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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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• 제4권3호
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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.

• 전기전자학회논문지
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• 제3권2호
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• pp.285-294
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• 1999

본 논문에서는 다치논리 함수의 GRM(Generalized Reed-Huller)계수 생성 방법에 관하여 제안하였다 일반적인 GRM계수의 생성 방법은 Reed-Muller(RM) 전개식를 이용하여 극수 P=0의 RM계수를 구하고 이를 확장하여 모든 GRM계수를 구하는 방법을 사용한다. 본 논문에서 제안한 알고리즘은 모든 극수의 GRM계수를 구하지 않고 극수의 0의 개수를 순차적으로 비교해가며 GRM계수를 구하는 방식이다.

• Asia pacific journal of information systems
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• 제13권1호
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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.