• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.171-174
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• 2000

본 논문에서는 공동작업을 지원하기 위한 시각언어를 제안하고 생성되는 시각문장에서 공동작업을 위한 속성과 컴파일 방법을 설명한다. 생성되는 시각문장은 객체 아이콘과 연산자로 구성되며, 각각은 공동작업 참여자와 참여자간 상호작용 시점에 따른 공동작업 관계를 의미한다. 생성되는 시각 문장은 객체 아이콘과 연산자의 결합 관계에 따라 다양한 공동작업을 지원한다. 또한, 동기 및 비동기 공동작업을 함께 표현함으로써 기존 공동작업을 위한 시각언어보다 효율적으로 공동작업을 지원한다.

• The Korean Journal of Financial Management
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• v.24 no.3
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• pp.63-89
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• 2007

This study aims at empirically verifying whether long memory properties exist in returns and volatility of the financial time series and then, empirically observing influential factors of long-memory properties. The presence of long memory properties in the financial time series is examined with the Hurst exponent. The Hurst exponent is measured by DFA(detrended fluctuation analysis). The empirical results are summarized as follows. First, the presence of significant long memory properties is not identified in return time series. But, in volatility time series, as the Hurst exponent has the high value on average, a strong presence of long memory properties is observed. Then, according to the results empirically confirming influential factors of long memory properties, as the Hurst exponent measured with volatility of residual returns filtered by GARCH(1, 1) model reflecting properties of volatility clustering has the level of $H{\approx}0.5$ on average, long memory properties presented in the data before filtering are no longer observed. That is, we positively find out that the observed long memory properties are considerably due to volatility clustering effect.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.884-887
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• 2010

최근 검색엔진의 효율성을 향상시키고 검색결과에 있어서 사용자들의 요구사항을 충족시키기 위한 연구들이 활발히 수행되고 있으며, 많은 방법론들이 제시되고 있다. 이는 방대한 정보 속에서 사용자의 검색 의도에 맞는 정보를 효과적으로 제공하는 것을 그 목표로 한다. 특히 본 논문에서는 검색하고자 하는 토픽별 사용자의 인적 속성들이 미치는 영향력을 기반으로 사용자간 소셜 관계 지수(SRV : Social Relationship Value)를 산정하는 방법을 제안한다. 소셜 관계 지수란 인간의 내재적인 특성을 수치로 산정한 것으로, 웹 사용자들에게 있어서는 검색 성향의 유사정도와 직결된다. 따라서 검색하고자 하는 토픽별 개인 성향의 유사정도를 수치로 부여하고 유사성이 높은 사람들의 검색 정보를 이용하면 사용자에 보다 만족된 검색결과를 제공할 수 있다. 본 연구에서는 구글 디렉터리(Google directory)의 정제된 각 토픽별 하위 범주(category)에 대해 선택 결과가 같은 사람들을 대상으로 인적 속성을 분석하고, 그 영향력을 가중치로 적용해 산정된 소셜 관계 지수와 사용자들의 검색 패턴을 비교 하였다. 그 결과 특정인을 기준으로 소셜 관계 지수가 높은 사람들의 검색 패턴이 매우 유사함을 확인 하였다. 이를 통해 토픽별 개인 간 연결 강도가 강할수록, 즉 유사성이 높은 사용자간에는 검색 패턴 또한 유사함을 검증 할 수 있었다.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.163-168
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• 2020

The purpose of this study is to investigate the relationship between the selection factors of sports climbing center, customer satisfaction, and re-registration. Data collection for the purpose of this study was collected through S center, B center, V center located in Seoul and K center located in Gyeonggi-do. A total of 296 valid samples were used for the analysis. To make sure the theory, it was based on analysis of frequency, factor analysis, reliability analysis and multiple regression. First of all, it was found that the factors of selecting the sports climbing center partially affected the customer satisfaction level. Second, it was found that the factors of selecting the sports climbing center partially affected the decision to re-register.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.322-332
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• 2021

In this study, the relationship between Customer Satisfaction and Selection Attributes of Hotel Michelin Restaurant was studied. It was attempted to investigate the influence relationship on whether there is a moderating effect by introducing a variable into the Hotel Brand Image. Convenience sampling was used for customers who have recently experienced Hotel Michelin Restaurant, which is currently located in a hotel in Seoul. It has been held for about 60 days from July 1, 2020. The survey tool constructed through prior research was distributed to customers who have experienced the Michelin Restaurant commissioned by hotels in Seoul. 287 copies of the collected effective specimens were statistically processed using SPSS 22.0. As a result of the empirical analysis of this study, it was found that among the factors of Selection Attributes, physical environment, food quality, service quality, and convenience had a significant positive (+) effect between customer satisfaction. It was found that price fairness had no influence. Finally, it was found that there is a moderating effect on the physical environment and service quality variables by introducing the interaction variable between Selection Attributes and Customer Satisfaction.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.497-504
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• 2012

Information types and display methods according to the relation between frequency of exposure and degree of cognition was suggested by this study as a way to enhance effective communication by information in aspect of user cognition. First of all, we ascertained the relation between frequency of exposure and degree of cognition by literature research for cognitive psychology and cognitive engineering psychology, results are as follows based in it. First, we suggested information types and attributes for visualization as 'Framework' which helps designers understand cognitive demands of users. Specifically, there are 4 types(STM, STA, LTM, LTA) of information according to the relation between frequency of exposure and degree of cognition, cognitive characteristics for each types and 'attributes matrix for visualization' which is consisted of 14 attributes of high -quality information and resorted by the types. Second, we suggested a guideline for display methods according to depth of information in the design process of information contents. For display methods of STM, STA information as primary information, we suggested "Attribution theory of Distinctiveness", "Advance Organizer", "Progress Closure", "Affordance", for display methods of LTM information as multidimensional information, we suggested "Modularity", "Consistency", "Mimicry", "Mnemonic Device". We had found from this study that there are distinction of status for attributes of information visualization according to information types or depth, and various display methods by them.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.6
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• pp.683-690
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• 2015

In Rough set, attribute missing values have several problems such as reduct and core estimation. Further, they do not give some discernable pattern for decision tree construction. Now, there are several methods such as substitutions of typical attribute values, assignment of every possible value, event covering, C4.5 and special LEMS algorithm. However, they are mainly substitutions into frequently appearing values or common attribute ones. Thus, decision rules with high information loss are derived in case that important attribute values are missing in pattern matching. In particular, there is difficult to implement cross validation of the decision rules. In this paper we suggest new method for substituting the missing attribute values into high information gain by using entropy variation among given attributes, and thereby completing the information table. The suggested method is validated by conducting the same rough set analysis on the incomplete information system using the software ROSE.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.938-950
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• 2008

This study was to investigate if there were any significant relationships between cultural destination selection attributes and travel satisfaction according to segmented groups of cultural destination attributes. Survey questionnaire was developed based on the previous study and data were collected from on site survey, which was one of the famous cultural tourism destination in Korea such as Booyoe and Kongjoo. Six dimensions of cultural destination attributes were identified from factor analysis and three different segmented groups were determined from cluster analysis. Then, Multiple regression analysis conducted with six destination attributes as independent variables and one travel satisfaction as dependent variable, while Fisher's Z score for three segmented groups were considered as moderator's variable. The results showed that cultural destination attribute affected respondents' level of travel satisfaction and there was differences among segmented groups in terms of their affecting factors to the travel satisfaction. These findings suggested that there were different segmented groups of cultural destination selection attributes and each group pursued different cultural travel products and services.

• International Journal of Highway Engineering
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• v.12 no.1
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• pp.9-20
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• 2010

This study was intended to identify, among various characteristics of tunnel, the relationship between the design factors comprising the driver's psychological stability, easiness and the sensitivity and then to suggest the mechanism for evaluating the tunnel view, and to that end, the study attempted to evaluate the relations between the physical elements comprising the tunnel shape and the variation of driver's emotional recognition, thereby proposing the measures to create the scenic environment. As a result of LISREL modeling to identify the characteristics of emotional recognition to tunnel view, the elements affecting tunnel view appeared to be emotional image created by the combination of elements comprising the tunnel view. Such emotional image can be explained by design elements and individual characteristics, and the effect of design element appeared to be greater than individual characteristics. The relations between individual characteristics and design element appeared to be positive (+) and the relations between the "safety" and "variability" was significant. And the "safety" have had greater effect on view recognition than "variability", indicating that the drivers tend to give more importance to "safety", but also require the "variability"on the other hand.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.47-54
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• 2014

Based on the indiscernible relation of rough set, the inevitability of superposition and inconsistency of data makes the reduction of attributes very important in information system. Rough set has difficulty in the difference of attribute reduction between consistent and inconsistent information system. In this paper, we propose the new uncertainty measure and attribute reduction algorithm by Bayesian posterior probability for correlation analysis between condition and decision attributes. We compare the proposed method and the conditional information entropy to address the uncertainty of inconsistent information system. As the result, our method has more accuracy than conditional information entropy in dealing with uncertainty via mutual information of condition and decision attributes of information system.