• Journal of Korean Association for Spatial Structures
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• v.9 no.3
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• pp.83-92
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• 2009

This study tries to feel out the possibility of experimental areas of architecture which is becoming urbanization gradually through practical issues of landscape urbanism. According to this study, it is affirmed that the practical issues of landscape urbanism such as process in time, Potential territoriality of surface, practical methodology and socio-cultural imagination already have rome into the architectural area over urbanism. This is presented as characteristics of detail issues through relational density on the matrix of landscape urbanism, traces of the general landscape concepts and architectural landscapeconcepts. As a result, these practical issues and detail architectural strategies constitute the important spatial characteristics of contemporary architecture.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.139-144
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• 2008

Generally, real system that is the object of decision-making is very variable and sometimes it lies situations with uncertainty. To solve these problem, it has used statistical methods as significance level, certainty factor, sensitivity analysis and so on. In this paper, we propose a method for fuzzy decision-making based on MFAC(Multiple Fuzzy Alpha Cut) to improve the definiteness of classification results with similarity evaluation. In the proposed method, MFAC is used for extracting multiple a ${\alpha}$-level with proximity degree at proximity relation between relative Hamming distance and max-min method and for minimizing the number of data which are associated with the partition intervals extracted by MFAC. To determine final alternative of decision-making, we compute the weighted value between extracted data by MFAC From the experimental results, we can see the fact that the proposed method is simpler and more definite than classification performance of the conventional methods and determines an alternative efficiently for decision-maker by testing significance of sample data through statistical method.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.5
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• pp.179-186
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• 2014

Current networks such as social network, web page link, traffic network are big data which have the large numbers of nodes and edges. Many applications such as social network services and navigation systems use these networks. Since big networks are not fit into the memory, existing in-memory based analysis techniques cannot provide high performance. Frontier-Expansion-Merge (FEM) framework for graph search operations using three corresponding operators in the relational database (RDB) context. FEM exploits an index table that stores pre-computed partial paths for efficient shortest path discovery. However, the index table of FEM has low hit ratio because the indices are determined by distances of indices rather than the possibility of containing a shortest path. In this paper, we propose an method that construct index table using high degree nodes having high hit ratio for efficient shortest path discovery. We experimentally verify that our index technique can support shortest path discovery efficiently in real-world datasets.

• Convergence Security Journal
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• v.11 no.2
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• pp.45-54
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• 2011

The purpose of this study is to investigate the causal relationships among social capital, job satisfaction, and organization commitment in the Korean Security Organizations. One hundred eight one questionnaires, with a 72.4% response rate from a convenient sample of 10 security organization guards, were utilized to study the relationships between research constructs. SPSS(12.0 version) were guard to analyze the unintentionality of research concepts and reliability test, and confirmatory factor analysis were performed. Factor analyses identified three internal dimensions of relational factor as superior relation. There are among results, first, the social capital is influencing to job satisfaction positively. second, the social capital is influencing to organizational commitment positively. third, the job satisfaction is influencing to organizational commitment positively.

• Culinary science and hospitality research
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• v.7 no.2
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• pp.157-179
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• 2001

Today the number or Chinese tourist visiting Korea is expected by 60% more than the number of them in the last year trunks to Chinese government's new policy on opening international trip. Overriding the striking perception of the new Chinese tourism market, the pre-research on this matter is not remarkable so far. It is expected that the theoretical base on the subject should be concrete. the purpose of the article is to provide the out-and-out information including the chinese market, the change of circumstance in China. Futhermore the study is proposed to offer valuable factor evaluating Chinese tourist to choose Korean restaurant and the relational consideration of the menu between estimation and satisfaction at the restaurant during their stay in Korea. In order to achieve the purpose of this paper, it is gore ahead of the literature review including the previous research on the menu of Hotel & Restaurant The major field research is to build a frame of the paper and present the model to release my humble theory. The 1imitation of the study was to make much of the literature basis due to insufficient previous research on the issue, The study would be framed into 6parts 1ike introduction, literature review, analysis of present coalition in China, major study including exploitative research, suggestion and dissuasions & conclusion. After the exploitative research, the study was approached to make findings through the questionnaires designed to find the relationship factor between chinese tourist's evaluation and satisfaction in the Hotel and Restaurant. According to the finding, chinese tourist tend to prefer the group ranging resonable-price and Japanese dishes to other group. They also interested the certain recipe including fish and vegetable. The evaluation menu is directly related to the satisfaction of Chinese tourist and we need a substantial managerial insight on it when the menu is already designed.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.4
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• pp.1-9
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• 2015

This paper proposes CAC method that is more efficient for RRM using game theory combined with Multiple Attribute Decision Making(MADM). Because users request services with different Quality of Service(QoS), the network preference values to alternative networks for each service are calculated by MADM methods such as Grey Relational Analysis(GRA), Simple Additive Weighting(SAW) and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS). According to a utility function representing preference value, non-cooperative game is played, and then network provider select the requested service that provide maximum payoff. The appropriate service is selected through Nash Equilibrium that is the solution of game and the game is played repeated. We analyze two overlaid networks among four Wireless LAN(WLAN) systems with different properties. Simulation results show that proposed MADM techniques have same outcomes for every game round.

• Education of Primary School Mathematics
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• v.21 no.2
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• pp.209-221
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• 2018

Angle concepts have a multifaceted nature such as quantitative aspects as the amount of rotation, qualitative aspects as geometric shapes, and relationship aspects made with planes or lines. This study analysed angle concepts and introduction methods of angles in elementary mathematics textbooks which have been used from the Syllabus Period to the 2015 Revised Mathematics Curriculum. First, the concepts of angles in mathematics textbooks focus through the definitions, representations, and components of angles presented in mathematics textbooks are analyzed. Secondly, how various aspects of each angle are sequenced through the tasks or activties in the introduction of lesson is looked. As a result of analysis, the methods of introducing angles in the changes of mathematics textbooks have mainly focused on learning about geometric shapes and relations of components. In the mathematics classroom, students should experience various aspects of geometric shapes, rotations, relational aspects of points, lines and surfaces, and support and link them to form a wide range of concepts.

• Convergence Security Journal
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• v.11 no.5
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• pp.53-63
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• 2011

The purpose of this study is to investigate the causal relationships among corporate social responsibility, job satisfaction, and organization commitment in the Private Security Provides's. One hundred eight one questionnaires, with a 72.4% response rate from a convenient sample of 12 security organization guards, were utilized to study the relationships between research constructs. SPSS(14.0 version) were guard to analyze the unintentionality of research concepts and reliability test, and confirmatory factor analysis were performed. Factor analyses identified three internal dimensions of relational factor as superior relation. There are among results, first, the corporate social responsibility is influencing to job satisfaction positively. second, the corporate social responsibility is influencing to organizational commitment positively. third, the job satisfaction is influencing to organizational commitment positively.

• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.43-54
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• 2009

The purpose of this study is to explore variables that affect users' perceived value of mobile advertising and actual response intention and to analyze causal relationships among variables. In order to verify the relational significance, we built new research model and hypotheses based on the Ducoffe's model(1996). And we found out four independent variables such as entertainment, information usefulness, convenience, economical efficiency, and advertising impact's value as a mediating variable. Especially, we classified into four multi-age groups to investigate properly moderating effects through SEM(path analysis) and difference test. Therefore, it is academical and practical worth that we developed our model to appropriate on mobile advertising's unique property and that we verified our hypotheses and variables focused on age group, whereas previous research did not. For this, we surveyed 345 samples for conducting structural equation modeling in empirical approach. The results of this study supported the statistical significance of all hypotheses except but convenience.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.149-159
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• 2019

Six sigma is an innovative management movement which provides improved business process by adapting the paradigm and the trend of market and customers. Suitable selection of six sigma project could highly reduce the costs, improve the quality, and enhance the customer satisfaction. There are existing studies on the selection of Six Sigma projects, but few studies have been conducted to select the correct project under an incomplete information environment. The purpose of this study is to propose the application of integrated MCDM techniques for correct project selection under incomplete information. The project selection process of six sigma involves four steps as follows: 1) determination of project selection criteria 2) calculation of relative importance of team member's competencies 3) assessment with project preference scale 4) finalization of ranking the projects. This study proposes the combination methods by applying group fuzzy Analytical Hierarchy Process (AHP), an easy defuzzified number of Trapezoidal Fuzzy Number (TrFN) and Grey Relational Analysis (GRA). Both of the weight of project selection criteria and the relative importance of team member's competencies can be evaluated by group fuzzy AHP. Project preferences are assessed by easy defuzzified scale of TrFN in case of incomplete information.)