• Journal of KIISE:Databases
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• v.37 no.6
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• pp.333-342
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• 2010

Building ontology is the key factor to construct semantic web. However, this is time-consuming process. Hence, there are several approaches which automatically generate the ontologies from relational databases. Current studies on the automatic generation of the ontologies from relational database are focused on generating the ontology by analyzing the database schema and stored data. These studies generate the ontology by analyzing only tables and constraints in the schema and ignore view definitions. However, view definitions are defined by a database designer considering the domain of the database. Hence, by considering view definitions, additional classes and hierarchical relationships can be generated. And these are useful in answering queries and integration of ontologies. In this paper, we formalize the generation of classes and hierarchical relationships by analyzing existing methods, and we propose the method which generates additional classes and hierarchical relationships by analyzing view definitions. Finally, we analyze the generated ontology by applying our method to synthetic data and real-world data. We show that our method generates meaningful classes and hierarchical relationships using view definitions.

• Journal of KIISE:Databases
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• v.31 no.6
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• pp.585-595
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• 2004

A query processing is a critical issue in data warehouse environment since queries on data warehouses often involve hundreds of complex operations over large volumes of data. Data warehouses therefore build a large number of materialized views to increase the system performance. Which views to materialized is an important factor on the view maintenance cost as well as the query performance. The goal of materialized view selection problem is to select an optimal set of views that minimizes total query response time in addition to the view maintenance cost. In this paper, we present an efficient solution for the materialized view selection problem. Although the optimal selection of materialized views is NP-hard problem, we developed a feasible solution by utilizing the characteristics of relational operators such as join, selection, and grouping.

• Journal of the Korean Home Economics Association
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• v.39 no.7
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• pp.85-100
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• 2001

A Study on the make-up expression and purchasing behavior of make-up cosmetics based on the lifestyle. The intention of this study is to classily the consumer group based on the lifestyle, to research the characteristics and desire of the each group, and to find out the differences of the make-up expression and purchasing behavior of make-up cosmetics among each group. The result of this study are as follow; 1. We have obtained seven factors out of twenty six lifestyle items by using AIO lifestyle measurement. The seven factors are make-up high involvement factor, brand loyal factor, make-up bases factor, economical and natural beauty oriented factor, impulsive consumption oriented factor, stubborn choice factor, sensitive to others view factor 2. We have formed four groups based on the seven factors. The four groups are impulsive consumption type, professional make-up type, intentional make-up type, basic type. 3. It was examined that women want to express smart, ellegant and intelligent images form the make-up 4. According to the examination of the differences of the purchsing behavior, only the purchase motive, information source and cosmetics purchase amount per month was differentiate among the groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.6 s.154
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• pp.939-947
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• 2006

The purpose of this study was to identify the relationships between vanity and materialism and fashion orientation. This study identified underlying factors of vanity and then grouped respondents into clusters based on the low factors of vanity. This study also examined their materialism and fashion orientation according to clusters. Data were gathered by surveying university students living in Seoul metropolitan area using convenient sampling, and 313 questionnaires were used in the statistical analysis. In analyzing data, factor analysis, cluster analysis, t test, correlation, and one-way ANOVA were conducted. Regarding vanity, low factors, 1) a concern id. physical appearance, 2) a positive view of physical appearance, 3) a concern for achievement, and 4) a positive view of achievement, were identified. Correlation analysis showed all four factors of vanity were significantly related with underlying dimension! of materialism and fashion orientation. Based on the factor scores, three clusters were identified. There were also significant differences in the dimensions of materialism and fashion orientation according to the clusters.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1470-1481
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• 2004

The purpose of this study was to research on facial shape to suggest a quantified data for the domestic apparel and beauty industry. Conducted a measurement research of 278 female college students, We took the photographs of front view and lateral view of the subjects by digital camera and obtained the 69 measurements through the facial measurement program. 264 ,subjects' measurement data were analyzed by various statistical methods such as descriptive analysis, factor analysis and cluster analysis. Using the 69 measurement items,4 factors were selected as key factors for the factor analysis of facial shape, the factors are: \circled1 Front face height \circled2 Side face radial length \circled3 Front face breadth \circled4 Ear height and Gnathion radial length. We categorized the facial shape into four types by cluster analysis. Type 4 is the most common facial shape in female college students: \circled1 Type 1: Round face \circled2 Type 2: Oval face \circled3 Type 3: Square face \circled4 Type 4: Heart shaped face According to the facial shape analysis, facial shape of female college students are consisting of Heart shaped face(34.8%), Round face(29.2%), Square face(23.5%), oval face(12.5%).

• Korea Journal of Hospital Management
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• v.5 no.2
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• pp.100-119
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• 2000

This study was conducted to understand the influences or satisfaction of mental disease patient's carer about medical service on utilizing hospital, for 202 mental disease patients who are in 19 hospitals from March 2, to 31, 2000 with questionnaire. Factor for understanding satisfaction of patient's carer includes ability of medical professional, view of facility, kindness of steps, convenience of medical procedure, cleanness of environment and convenience of traffic. The data collected were analyzed by SPSS program and the results of this study are summarized as follows; 1. There are not significantly difference bet wren general character and whole satisfaction of patient's carer. 2. Each factor has the positive relation with whole satisfaction of patient's carer about medical service. 3. Whole satisfaction of patient's carer have the significant positive relation with utilizing hospital($\beta$=.527, p=.000), this means that the higher whole satisfaction of patient's carer, the higher their tendance of utilizing hospital. 4. Knowledge for mental disease of patient's carer appear the positive results in view of medical care. In conclusion, the policy has to be developed in order to prevent the stop of utilizing hospital of patient and their carer. But there is a limit to except mental disease patients in this study.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.107-116
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• 2008

Nowadays, BSC presented by alpan is observed by many enterprises and is being operated gradually. BSC includes non-financial factor as well as financial factor in performance assessment and it is a tool that will be able to evaluate even strategy of long-term view. In point of performance management, BSC brings in relief importance on non-financial performance as well as financial performance and it shares with viewpoint of 4 things of financial viewpoint, customer viewpoint, internal process view point, learning and growth viewpoint. then these make an array with vision and strategy of organization by causal relationship, it presented necessity of performance control on organization as center on KPI of inner of each viewpoint. Thus, study on measures and control of management performance is progressed actively and is accomplishing much development. This study is aimed at calculation of weight that is able to reflect its importance about AHP on KPI of each viewpoint. The purpose of this study is to present desirable performance measurement model and to give a weight in consideration of working-level character.

• Journal of the Korean Society of Safety
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• v.26 no.3
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• pp.83-90
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• 2011

It is well known that urgency resulted from time stress can be a great cause to industrial accidents. Therefore, time stress has been studied in the aspect of macroscopic view, namely industrial safety management, but has not been studied in microscopic view such as psychophysiological approach. Among diverse psychophysiological indices, Electroencephalogram(EEG) would be on of the most objective psychophysiological research technique on human errors though few research has been taken yet. This study aimed to get characteristics of human error while committing a simple arithmetic addition task by utilizing the power spectrum technique of EEG data. Each experiment was composed of 2 tasks under different condition - with and without time stress. As subjects, 5 young undergraduate students in their early twenties participated in this study. The results advocated a well-known fact that time stress downgrades the performance of human workers. However, correct answer rate and response time were not significantly influenced by time stress factor which might be explained by the constructural factor adopted in the present study. As in the previous studies, among various EEG-related measures, relative band power ratios of ${\alpha}$ and ${\beta}$ waves to sum of ${\alpha}$,${\beta}$,${\theta}$ wave powers, namely $P_{{\alpha}/({\alpha}+{\beta}+{\theta})}$ and $P_{{\beta}/({\alpha}+{\beta}+{\theta})}$ seemed to be the most effective measures to grasp variation of brain activities in time-stressed situation so that discussions were expanded about their variations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.2913-2918
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• 2011

This paper proposed the friction model using Preisach algorithm with neural network based on experimental results. In order to apply the neural network algorithm, the back propagation update rule was used and the updated weighting factor of neural network was applied to distribute function of Preisach model. In order to implement the proposed algorithm, the LabView software was used to apply to the precision control of mechanical system. The evaluation of the proposed friction model was executed through experiments.

• Atmosphere
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• v.27 no.4
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• pp.483-498
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• 2017

Sky view factor can quantify the influence of complex obstructions. This study aims to evaluate the best available SVF method that represents an urban thermal condition with land cover in complex city of Korea and also to quantify a correlation between SVF and mean air temperature; the results are as follows. First, three SVF methods comparison result shows that urban thermal study should consider forest canopy induced effects because the forest canopy test (on/off) on SVF reveals significant difference range (0.8, between maximum value and minimum value) in comparison with the range (0.1~0.3) of SVFs (Fisheye, SOLWEIG and 3DPC) difference. The significance is bigger as a forest cover proportion become larger. Second, R-square between SVF methods and urban local mean air temperature seems more reliable at night than a day. And as the value of SVF increased, it showed a positive slope in summer day and a negative slope in winter night. In the SVF calculation method, Fisheye SVF, which is the observed value, is close to the 3DPC SVF, but the grid-based SWG SVF is higher in correlation with the temperature. However, both urban climate monitoring and model/analysis study need more development because of the different between SVF and mean air temperature correlation results in the summer night period, which imply other major factors such as cooling air by the forest canopy, warming air by anthropogenic heat emitted from fuel oil combustion and so forth.