• Journal of the Korean Statistical Society
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• 제27권3호
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• pp.289-303
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• 1998

For square contingency tables with ordered categories, Tomizawa (1995) considered two kinds of measures to represent the degree of departure from global symmetry, which means that the probability that an observation will fall in one of cells in the upper-right triangle of square table is equal to the probability that the observation falls in one of cells in the lower-left triangle of it. This paper proposes a generalization of those measures. The proposed measure is expressed by using Cressie and Read's (1984) power divergence or Patil and Taillie's (1982) diversity index. Special cases of the proposed measure include TomiBawa's measures. The proposed measure would be useful for comparing the degree of departure from global symmetry in several tables.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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• pp.119-122
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• 2000

In this paper, we implement an elementary system to correct accent, pronunciation, and intonation in English spoken by non-native English speakers. In case of the accent evaluation, energy and pitch information are used to find stressed syllables, and then we extract the segment information of input patterns using a dynamic time warping method to discriminate and evaluate accent position. For the pronunciation evaluation. we utilize the segment information using the same algorithm as in accent evaluation and calculate the spectral distance measure for each phoneme between input and reference. For the intonation evaluation. we propose nine pattern of slope to estimate pitch contour, then we grade test sentences by accumulated error obtained by the distance measure and estimated slope. Our result shows that 98 percent of accent and 71 percent of pronunciation evaluation agree with perceptual measure. As the result of the intonation evaluation. system represent the similar order of grade for the four sentences having different intonation patterns compared with perceptual evaluation.

• 대한수학회논문집
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• 제20권4호
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• pp.695-702
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• 2005

We study the transformed measures with respect to the real parameters of a self-similar measure on a self-similar Can­tor set to give a simple proof for some result of its multifractal spectrum. A transformed measure with respect to a real parameter of a self-similar measure on a self-similar Cantor set is also a self­similar measure on the self-similar Cantor set and it gives a better information for multifractals than the original self-similar measure. A transformed measure with respect to an optimal parameter deter­mines Hausdorff and packing dimensions of a set of the points which has same local dimension for a self-similar measure. We compute the values of the transformed measures with respect to the real parameters for a set of the points which has same local dimension for a self-similar measure. Finally we investigate the magnitude of the local dimensions of a self-similar measure and give some correlation between the local dimensions.

• 디지털산업정보학회논문지
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• 제6권4호
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• pp.11-20
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• 2010

Ontology is important role in semantic web to construct and query semantic data. Because of dynamic characteristic of ontology, P2P environment is considered for ontology processing in web environment. For efficient processing of ontology in P2P environment, clustering of peers should be considered. When new peer is added to the network, cluster allocation problem of the new peer is important for system efficiency. For clustering of peers with similar chateristics, similarlity measure method of ontology in added peer with ontologies in other clusters is needed. In this paper, we propose similarity measure techniques of ontologies for clustering of peers. Similarity measure method in this paper considered ontology's strucural characteristics like schema, class, property. Results of experiments show that ontologies of similar topics, class, property can be allocated to the same cluster.

• 한국통신학회논문지
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• 제21권3호
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• pp.587-599
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• 1996

In general fractal imge compression, each range block is approximated by a contractive transform of the matching domain block under the mean squared error criterion. In this paper, a distortion measure reflecting the properties of human visual system is defined and applied to a fractal image compression. the perceptual distortion measure is obtained by multiplying the mean square error and the noise sensitivity modeled by using the background brightness and spatial masking. In order to compare the performance of the mean squared error and perceptual distortion measure, a simulation is carried out by using the 512*512 Lena and papper gray image. Compared to the results, 6%-10% compression ratio improvements under improvements under the same image quality are achieved in the perceptual distortion measure.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권1호
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• pp.37-42
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• 2014

연관 규칙들을 이용한 분류학습은 최근 활발히 연구되는 분야의 하나이다. 이러한 연관 규칙을 이용한 분류에는 연관 규칙들에 대한 수치적 중요도를 계산하는 것이 중요하다. 본 논문에서는 정보 이론을 사용한 H measure 라는 새로운 규칙 중요도 기법을 제안한다. 구체적으로 Hellinger 변량을 이용하여 연관규칙의 중요도를 계산한다. 제안된 H measure 의 다양한 특성들을 분석하였으며 또한 이러한 H measure를 이용한 분류학습의 성능을 다른 규칙 measure를 이용한 분류학습의 성능과 비교하였다.

• Journal of the Korean Data and Information Science Society
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• 제25권6호
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• pp.1521-1530
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• 2014

The ROC analysis is considered for multiple class diagnosis. There exist many criteria to find optimal thresholds and measure the accuracy of diagnostic tests for k dimensional ROC analysis. In this paper, we proposed a diagnostic accuracy measure called the correct classification simple rate, which is defined as the summation of true rates for each classification distribution and expressed as a function of summation of sequential true rates for two consecutive distributions. This measure does not weight accuracy across categories by the category prevalence and is comparable across populations for multiple class diagnosis. It is found that this accuracy measure does not only have a relationship with Kolmogorov - Smirnov statistics, but also can be represented as a linear function of some optimal threshold criteria. With these facts, the suggested measure could be applied to test for comparing multiple distributions.

• Industrial Engineering and Management Systems
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• 제11권1호
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• pp.87-93
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• 2012

This paper discusses a new weighting method for text analyzing from the view point of supervised learning. The term frequency and inverse term frequency measure (tf-idf measure) is famous weighting method for information retrieval, and this method can be used for text analyzing either. However, it is an experimental weighting method for information retrieval whose effectiveness is not clarified from the theoretical viewpoints. Therefore, other effective weighting measure may be obtained for document classification problems. In this study, we propose the optimal weighting method for document classification problems from the view point of supervised learning. The proposed measure is more suitable for the text classification problem as used training data than the tf-idf measure. The effectiveness of our proposal is clarified by simulation experiments for the text classification problems of newspaper article and the customer review which is posted on the web site.

• Journal of the Korean Data and Information Science Society
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• 제27권2호
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• pp.353-362
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• 2016

데이터 마이닝은 빅 데이터에 내재되어 있는 새로운 법칙이나 잠재되어 있는 지식을 탐색한 후, 이를 근거로 하여 의사결정에 활용하고자 하는 것이다. 위키 백과사전에 의하면 데이터 마이닝 기법 중의 하나인 연관성 규칙은 연관성 평가 기준에 의해 관심 있는 항목들 간에 관련성을 찾아내는 기법으로 많은 연구자들에 의해 연관성 평가를 위한 흥미도 측도들이 개발되어 왔다. 이들 중에서 헬링거 측도는 여러 가지 흥미도 측도들에 비해 많은 장점이 있으나 연관성의 방향을 판단하기가 곤란한 문제를 내포하고 있다. 이 문제를 해결하기 위해 본 논문에서는 부호를 가지는 헬링거 측도를 제안하고 몇 가지 예제를 통하여 유용성을 고찰하였다. 그 결과, 본 논문에서 제안하는 부호 헬링거 측도는 양의 연관성을 가지는 경우에는 양의 값으로 나타나고 음의 연관성을 가지는 경우에는 음의 값을 갖는 것으로 나타났다. 또한 동시발생빈도, 동시 비 발생빈도, 그리고 불일치 빈도가 증가함에 따라 기본적인 연관성 평가 기준들과 부호 헬링거 측도는 증감 여부가 동일한 것을 알 수 있었다.

• 한국통신학회논문지
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• 제30권3C호
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• pp.112-118
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• 2005

본 논문에서는 교잡반응된 스팟을 템플릿 정합법으로 감지하는 온-오프 형태의 DNA 마이크로어레이 영상의 자동분석을 위한 새로운 비선형 정합도를 제안한다. HPV DNA 칩의 목표 스팟은 인유두종 바이러스(HPV)의 종을 알아내기 위해서 설계된다. 제안하는 척도는 전체 템플릿 영역을 이진 문턱값으로 양극화하여 스팟 영역 내의 밝은 화소의 개수를 취해서 얻는다. 이 척도를 추정된 마커 위치의 정확도 관점에서 평가하여 정규화된 상관도보다 우수함을 보인다.