• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.135-143
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• 2022

In order to convert Korean folk paintings called Minhwa, a part of traditional Korean heritage, into DBs, it is necessary to design a classification system suitable for the characteristics of folk paintings. A classification system and the generating of unique codes are required to classify and save them. To realize this, a basic classification system was created by listing objects depicted in folk paintings, and keywords were extracted by reclassifying them for each object. In order to assign a unique code to each piece, we organize the English names of each Minhwa since the English names of the folk painting contain the names of objects. The code name is extracted by applying the order of nouns and consonant priority rules in English names and attaching five Arabic numerals. These codes are later assigned to each image file stored in the database and are input together with the keyword. The Minhwa DB constructed in this way enables storage and search centered on objects and keywords and the intuitive inferring of the type of object from the code name.

• 사상체질의학회지
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• 제18권2호
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• pp.96-112
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• 2006

1. Objectives This study focuses on the reliability of the Questionnaire about Sasang Constitution Classification for Mongolians 2. Methods Test-retest method and internal consistency method have been performed based on the absolutely diagnosed group of 87 cases who respond to the questionaries during the time interval of one yeat between July 2003 and July 2004 to verify the confidence level. 3. Results and Conclusions (1) In the test-retest for each question of the Questionnaire of Sasang Constitution Classification for Mongolians, the dependency ratio is 40% and the agreement ratio is 92%. Therefore, this questionnaire has credibility because it has question relations and high agreement ratio. (2) In the internal consistency method for the measure of the Questionnaire of Sasang Constitution Classification for Mongolians, the value of Cronbach alpha is mote than 0.60. As a result, this questionnaire has internal consistency for each question which explains each physical constitution and it has credibility (3) In the internal consistency method for the measure of the Questionnaire of Sasang Constitution Classification for Mongolians, the Pearson's correlation coefficient, r, falls between $+0.38\;{\sim}\;+0.54$ in each measure. Accordingly, this questionnaire has internal consistency between each physical constitution measure and it has credibility.

• Advances in Traditional Medicine
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• 제7권5호
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• pp.447-458
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• 2008

This paper reviews the historic origin and traits of the classification system used in current Korean herbology textbooks. By reassessing its value, it proposes the most relevant path for future revisions and supplementations. Through an evaluation of the history of the modern style of classification in terms of its efficacy and statistic analysis of the distribution of individual herbs in each category, this paper shows how the classification systems of Korean herbology textbooks were influenced by contemporary Chinese herbology, particularly that of the Cheong [淸] Dynasty. An examination of the academic background, strengths and weaknesses of each classification system demonstrates the need for future research on classification systems to concentrate on resolving the following issues: how well the setting and composition of each classification system reflects reality, and how closely it is connected to related sciences such as etiology and pathogenesis, prescriptionology, and diagnosis.

• 사상체질의학회지
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• 제7권2호
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• pp.89-100
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• 1995

This study was conducted for the purpose of finding out an objective classification method for Sasang Constitutional medicine, which divides people into 4 groups of constitution and presents comprehensively physiology, pathology, diagnosis, therapy and recuperation regarding each constitution. Questionnaire of Sasang Constitution Classification(I) was administered to 328 inpatients at Kyung Hee Oriental Medicine Hospital. Data was collected during 10 months from June 1994 to Mar. 11, 1995. For the purposes of this study, the collected data was analyzed by crosstabs, variation analysis, and discrimination analysis. The analyzing program was SPSS PC+V4.0. For the purposes of this study, the collected data was analyzed by crosstabs, cariation analysis, and discrimination analysis. The analyzing program was SPSS PC+V4.0. The results were as follows : 1. There was significant differences of each group scales through variation analysis. The questions of each group had Sasang constitutional diagnostic discrimination abilities 2. The diagnostic discrimination abilities(Hit-ratio=56.10%) of the Questionnaire for Sasang Constitution Classification(I) were found to have over 20% improvement than the propotional chance criteria(33.3%), Especially, Hit-ratio for $So{\breve{u}}m$-In(63%) was higher than that of SoYang-In(55%) and $Ta{\breve{e}}um$-In(56.3%). 3. Through discrimination analysis on good questions of each group, the diagnostic discrimination abilities of the Questionnaire for Sasang Constitution Classification(I) was 57.93%. 4. This would be on the ground that the Questionnaire for Sasang Constitution Classification(I) could be used as a tool for Sasang constitution classification.

• 한국경영과학회지
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• 제32권1호
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• pp.61-75
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• 2007

The purpose of this paper is to develop a new group classification method based on genetic algorithm and to com-pare its prediction performance with those of existing methods in the area of bond rating. To serve this purpose, we conduct various experiments with pilot and general models. Specifically, we first conduct experiments employing two pilot models : the one searching for the cluster center of each group and the other one searching for both the cluster center and the attribute weights in order to maximize classification accuracy. The results from the pilot experiments show that the performance of the latter in terms of classification accuracy ratio is higher than that of the former which provides the rationale of searching for both the cluster center of each group and the attribute weights to improve classification accuracy. With this lesson in mind, we design two generalized models employing genetic algorithm : the one is to maximize the classification accuracy and the other one is to minimize the total misclassification cost. We compare the performance of these two models with those of existing statistical and artificial intelligent models such as MDA, ANN, and Decision Tree, and conclude that the genetic algorithm-based group classification method that we propose in this paper significantly outperforms the other methods in respect of classification accuracy ratio as well as misclassification cost.

• 대한원격탐사학회지
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• 제15권3호
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• pp.183-194
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• 1999

위성에서 관측된 다중분광 위성영상 데이터를 이용목적에 따라 분석하고 활용하기 위해서는 영상 자체에 내포된 밝기, 칼라, 질감 등 다양한 특징들이 중요한 정보원으로 이용되고 있다. 특히 질감이나 칼라정보를 이용한 위성영상의 분석과정에서 가장 중요한 문제는 원 영상의 정보를 효율적으로 표현하는 속성을 추출하여 적절히 활용하는 것이다. 따라서 본 논문에서는 위성영상 분석에 유용하게 사용할 수 있는 6개의 속성 벡터들을 선정한 다음 SPOT 위성에서 관측된 영상을 이용하여 각각의 속성들에 대한 분별력을 평가하기 위하여 역전파 신경망(Back-propagation Neural Network)을 이용한 분류 네트워크를 구성하였고, 실험하고자 하는 지역에 대한 훈련집합 선택시 선정된 여섯 개이 속성 벡터들을 분류에 사용될 특징으로 선택하였다. 분류 실험을 수행한 결과 각각의 벡터 속성들은 개개의 특성에 따라 많은 장단을 내포하고 있었으며, 전반적으로는 비교적 정확한 분류결과를 나타내었다. 따라서 칼라 및 질감 속성 벡터들은 위성영상의 분류과정에 효과적으로 사용될 수 있음은 물론 다양한 영상분석 및 응용분야에서도 유용하게 이용될 수 있을 것으로 기대된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.48-53
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• 1999

The paper presents an automated method for generating fuzzy rules and fuzzy membership functions for pattern classification from training sets of examples and an application to the land-cover classification. Initially, fuzzy subspaces are created from the partitions formed by the minimum and maximum of individual feature values of each class. The initial membership functions are determined according to the generated fuzzy partitions. The fuzzy subspaces are further iteratively partitioned if the user-specified classification performance has not been archived on the training set. Our classifier was trained and tested on patterns consisting of the DN of each band, (XS1, XS2, XS3), extracted from KITSAT-3 multispectral scene. The result represents that our classification method has higher generalization power.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.709-726
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• 2018

Database classification is an important preprocessing step for the multi-database mining (MDM). In fact, when a multi-branch company needs to explore its distributed data for decision making, it is imperative to classify these multiple databases into similar clusters before analyzing the data. To search for the best classification of a set of n databases, existing algorithms generate from 1 to ($n^2-n$)/2 candidate classifications. Although each candidate classification is included in the next one (i.e., clusters in the current classification are subsets of clusters in the next classification), existing algorithms generate each classification independently, that is, without taking into account the use of clusters from the previous classification. Consequently, existing algorithms are time consuming, especially when the number of candidate classifications increases. To overcome the latter problem, we propose in this paper an efficient approach that represents the problem of classifying the multiple databases as a problem of identifying the connected components of an undirected weighted graph. Theoretical analysis and experiments on public databases confirm the efficiency of our algorithm against existing works and that it overcomes the problem of increase in the execution time.

• 한국문헌정보학회지
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• 제55권2호
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• pp.25-50
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• 2021

범용의 문헌분류체계는 모든 주제분야를 포괄한다. 전체적인 분류체계는 문헌정보학 전문가가 구성하더라도, 개별 주제영역의 분류항목 구성과 전개는 해당 주제영역의 그것을 참고하는 것이 효율적이다. 전체 주제를 포괄하는 문헌분류체계가 각 주제분야에서 개발한 분류체계의 단순한 모음이 아닌 실용적인 분류체계가 되기 위해서는 각 항목에 배정되는 문헌량의 다과를 반영한 항목 설정과 세분이 필요하다. 분류항목의 설정에 있어 문헌량의 다과에서 항목 설정의 타당성과 근거를 찾는 것을 문헌적 근거(literary warrant)라 부른다. 본고에서는 한국십진분류법(KDC)에 전개된 각각의 분류항목에 어느 정도의 정보자원이 배정되고 있는지를 실증적으로 확인하고 이를 기반으로 향후 개정방안을 제시하고자 한다.

• 한국문헌정보학회지
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• 제26권
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• pp.187-212
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• 1994

The present study examines the characteristics of the international literature of classification systems published in the period 1981-1990. The references in the 'Classification Literature' sections of International Classification and the references in these source items were examined. The present study focused on analyzing each of the following characteristics: format, subject, language, geographical origin, age, authorship and number of references. The findings from the data analyses show clearly that in the literature of classification systems, I) books were the most frequently cited format; 2) library and information science was the most frequently cited subject; 3) English was the major language; 4) the literature of each classification system was written predominently in English except for Library Bibliographic Classification; 5) the language of each source item was the same as that of the greatest number of references of that source item: 6) the U.S., Germany, India, Russia, and the U.K. were the major geographic origin of publication; 7) there was a very close relationship between country of publication and language: 8) the country of origin of the documents was cited more than any other country except for the U.S.: 9) Price's Index of the literature revealed that the literature was a soft science and the half-life of the literature was about 7.5 years; 10) there was a preponderance of single authorships; 11) the literature was not a scholarly or scientific literature, according to the average number of references in source items and the percentage of unreferenced items. The findings of this reference study provide a better understanding of the characteristics of the classification systems literature. They prove useful for the collection development and assist classification systems researchers to prepare linguistically for their careers and encourage international communication efforts.