• 아동학회지
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• 제12권2호
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• pp.67-77
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• 1991

An investigation of the effect of occupational information on vocational cognitive complexity was conducted with 331 male and female adolescents in ninth grade. There were 2 experimental groups and 1 control group. Experimental group I was given only occupational information sheets (written form information) while group II was given occupational information through verbal instruction in addition to the occupational information sheets. A modified form of the cognitive complexity grid originally developed by Bodden (1970) was utilized to collect data on the subjects' vocational cognitive complexity. ANOVA and $Scheff{\acute{e}}$ tests revealed that there were significant differences between experimental group II and the other groups in vocational cognitive complexity. The cognitive complexity level of experimental group I and the control group for the most aspired occupation was significantly lower than for the least aspired occupation. However, the cognitive complexity level of experimental group II for the most aspired occupation was higher than for the least aspired occupation. The results suggest that just giving occupational information to adolescents may not be effective and giving occupational information may be effective only when the method of giving occupational information is active enough to induce adolescents' self-confirming cognitive process.

• 전자공학회논문지B
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• 제31B권4호
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• pp.138-144
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• 1994

An inference network is proposed as a tool for bidirectional approximate reasoning. The inference network can be designed directly from the given fuzzy data(knowledge). If a fuzzy input is given for the inference netwok, then the network renders a reasonable fuzzy output after performing approximate reasoning based on an equality measure. Conversely, due to the bidirectional structure, the network can yield its corresponding reasonable fuzzy input for a given fuzzy output. This property makes it possible to perform forward and backward reasoning in the knowledge base system.

• 대한수학회논문집
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• 제31권1호
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• pp.53-64
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• 2016

In this paper, we give generalization of the $Fej\acute{e}r$-Hadamard inequality by using definition of convex functions on n-coordinates. Results given in [8, 12] are particular cases of results given here.

• 산업경영시스템학회지
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• 제20권41호
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• pp.177-188
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• 1997

This study describes the important information for establishing Human Computer Interface System for solving the large scale Traveling Saleman Problem in Printed Circuit Board production. Appropriate types and sizes of partitioning of large scale problems are discussed. Optimal tours for the special patterns appeared in PCB's are given. The comparision of optimal solutions of non-Euclidean problems and Euclidean problems shows the possibilities of using human interface in solving the Chebyshev TSP. Algorithm for the large scale problem using described information and coputational result of the practical problem are given.

• Journal of the Korean Data and Information Science Society
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• 제14권4호
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• pp.1067-1082
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• 2003

In this paper, we propose a randomized response model with discrete quantitative attribute by three-stage cluster sampling for obtaining discrete quantitative data by using the Liu & Chow model(1976), when the population was made up of sensitive discrete quantitative clusters. We obtain the minimum variance by calculating the optimum number of fsu, ssu, tsu under the some given constant cost. And we obtain the minimum cost under the some given accuracy.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.365-373
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• 2007

Sample size determination plays an important role in designing a bioequivalence trial. Formulae of sample sizes based on Schuirmann's two one-sided tests procedures are given for bioequivalence studies with the $2{\times}2$ crossover design and two-sample parallel design. A practical discussion for the relationship among these formulae is given.

• Journal of the Korean Data and Information Science Society
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• 제15권1호
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• pp.83-94
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• 2004

In this study we analyze categorical data by means of spatial statistics and echelon analysis. To do this, we first determine the hierarchical structure of a given contingency table by using echelon dendrogram then, we detect candidates of hotspots given as the top echelon in the dendrogram. Next, we evaluate spatial scan statistics for the zones of significantly high or low rates based on the likelihood ratio. Finally, we detect hotspots of any size and shape based on spatial scan statistics.

• Journal of the Korean Data and Information Science Society
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• 제19권4호
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• pp.1027-1036
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• 2008

Value at Risk(VaR) is a fundamental tool for managing market risks. It measures the worst loss to be expected of a portfolio over a given time horizon under normal market conditions at a given confidence level. Calculation of VaR frequently involves estimating the volatility of return processes and quantiles of standardized returns. In this paper, we introduced and applied the CreditMetrics model to estimate the credit VaR of Korean Property and Casuality insurers.

• 한국한의학연구원논문집
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• 제17권2호
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• pp.121-127
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• 2011

Objectives : In the clinical field, it is important to understand the factors that have effects on a certain disease or symptom. For this, many researchers apply Data Mining method to the clinical data that they have collected. One of the efficient methods for Data Mining is decision tree induction. Many researchers have studied to find the best split criteria of decision tree; however, various split criteria coexist. Methods : In this paper, we applied several split criteria(Information Gain, Gini Index, Chi-Square) to Sasang constitutional clinical information and compared each decision tree in order to find optimal split criteria. Results & Conclusion : We found BMI and body measurement factors are important factors to Sasang constitution by analyzing produced decision trees with different split measures. And the decision tree using information gain had the highest accuracy. However, the decision tree that produced highest accuracy is changed depending on given data. So, researcher have to try to find proper split criteria for given data by understanding attribute of the given data.

• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 2017년도 제24회 학술대회 논문집
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• pp.23-32
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• 2017

Music therapy has been proved to be effective in treatment of diseases such as Alzheimer's disease. Many studies have investigated the effect of music therapy techniques on symptoms of a given disease but there has been no efforts in classifying those studies by specific symptoms of diseases, although patients, caregivers and music therapists have difficulty in discovering documents that they need to treat certain diseases. Thus, in the study, we propose a method to group music therapy-related publications by the music therapy techniques mainly used for a given disease. We expect that it will help music therapists and patients to find papers to help them to cure a specific disorder.