• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.819-824
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• 2007

Outfitting system in ship design has huge kinds of standard part. Data base of and automatic design procedure of part master should be included in ship cad in order to reduce the design time. Present study shows an process of part master DB construction of pipe equipments using 3-dimensional CAD environment Attribute and properties of part masters are chosen from JIS standard. As the schema of part masters are stored in data base, 3D geometric model is parsed from the schema.

• Journal of Applied Reliability
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• v.16 no.1
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• pp.41-47
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• 2016

Purpose: The purpose of this study was to evaluate electrical and structural degradation of flexible CIGS sollar cell exposed to high temperature and humid atmosphere. Method: Accelerated degradation was performed for various time under $85^{\circ}C/85%RH$ and then electrical and structural properties were analyzed by 4-point probe method, scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and X-ray diffraction (XRD). Results: Sheet resistance of the top ITO layer increased with exposure time to the high temperature and humid atmosphere. Blunting of the protrusion morphology of ITO layer was observed for the degraded specimen, while no phase change was detected by XRD. Oxygen was detected at the edge area after 300 hours of exposure. Conclusion: Increase in electrical resistance of the degraded CIGS solar cell under high temperature and humid environment was attribute to the oxygen or water absorption.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.87-99
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• 2008

As the technologies for telecommunication have been evolving, more enhanced information services and integrated information systems have been introduced, which can manage a variety of information from the heterogeneous systems. The major obstacle for the integrated information systems is the integrating heterogeneous databases in the systems and the heterogeneity problems can be classified into the structural and data heterogeneities. However, the previous researches have mainly highlighted into the solving structural heterogeneity problems. This paper identifies the data heterogeneity problems for multi-database schema integrations and proposes a new solving method. We analyze the semantics equivalence in data values based on the functional dependency, primary and candidate keys, and present a procedural solution of data heterogeneity in the perspective of the concept of attribute equivalence, integration key and conceptual integration table.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.5
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• pp.662-669
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• 2013

The purpose of this study is to examine consumers increased interest pertaining to the structural elements of the triangular gimbap. Through an investigation of their importance by attribute and the attribute's partial value, the preference of the triangular gimbap was obitained. The survey was conducted with a panel of two hundred and one university students, from January 7, 2013 to January 14, 2013. In order to achieve an optimal production of the triangular gimbap, the survey consists of 8 profiles with an orthogonal design for cross-validity authorization and reliability of the model. The statistical data analyses use SPSS/WIN 20.0 for the conjoint analysis. The results of this study indicate that the triangular gimbap, with 30% brown rice, mixed stuffing, weight of 100 grams, and a price of 800 won was selected. It is an estimation that new customers will be attracted to the triangular gimbap that consists of a variety of rice and stuffing.

• Structural Monitoring and Maintenance
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• v.4 no.1
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• pp.85-105
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• 2017

Monitoring is the most important part of the construction and operation of the embankment dams. Applied instruments in these dams should be determined based on dam requirements and specifications. Instruments selection considered as one of the most important steps of monitoring plan. Competent instruments selection for dams is very important, as inappropriate selection causes irreparable loss in critical condition. Lack of a systematic method for determining instruments has been considered as a problem for creating an efficient selection. Nowadays, decision making methods have been used widely in different sciences for optimal determination and selection. In this study, the Multi-Attribute Decision Making is applied by considering 9 criteria and categorisation of 8 groups of geotechnical instruments. Therefore, the Analytic Hierarchy Process and Multi-Criteria Optimisation and Compromise Solution methods are employed in order to determine the attributes' importance weights and to prioritise of instruments for embankment dams, respectively. This framework was applied for a rock fill with clay core dam. The results indicated that group decision making optimizes the selection and prioritisation of monitoring instruments for embankment dams, and selected instruments are reliable based on the dam specifications.

• Journal of the Korean housing association
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• v.22 no.2
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• pp.101-109
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• 2011

Until now, several comparative approaches were developed within the studies of Korean, Chinese, and Japanese traditional housings. In those studies, however, each space in the traditional houses was only treated in individual and fragmentary manners, and they lacked the interpretation of the topological attribute of each space within a holistic structure organized by unit spaces, and of the cultural-behavioral meaning of them within a holistic space-use pattern of the housing. The topological attribute and behavioral meaning can be analyzed and interpreted with the quantitative spatial analysis method such as Space Syntax. This study aims to analyze the traditional housings in Korea, China and Japan in the holistic aspect of spatial structure using Space Syntax, and to compare the analysis results with relating the structural attributes to the space-use pattern. In this study, the 'Banga' in Chosun era, the 'Siheyuan' in Ming-Ching era, and the 'Shoinzukuri' in Edo era were selected as the analysis subjects. The integration indices were calculated from the convex maps representing the subjects, and the common and different attributes of the three subjects were defined through comparative analyses.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.187-194
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• 2019

This study examined that what attributes of student satisfaction are more important when students use university cafeterias. Factors that are considered to be more crucial when students use a cafeteria, such as menu, taste, price, and cleanliness, were tested. Based on the research of previous studies, it assumed that the selection attributes of students' cafeteria were menu, taste, price, and cleanliness. With 301 surveyed questionnaires, the study was carried out by AMOS 23.0 and the Structural Equation Model was used for examining the hypotheses as statistical method in this study. In consequence of the hypothesis test on the main effect, the factors such as the menu, taste, price and cleanliness were found to significantly affect satisfaction. Then, the moderating role of gender, age and allowance was analyzed. However, students' university cafeteria selection attributes differed depending on their allowance only. The path coefficients from menu to satisfaction were more significant in the group with a smaller allowance, while the path coefficient from price to satisfaction was more significant in the group with a larger allowance. The study analyzed that the effect of selection attribute of students' cafeteria on the satisfaction, and influence of students' allowance, and provide meaningful implications when they choose the attributes.

• ETRI Journal
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• v.43 no.5
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• pp.812-824
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• 2021

Recently, with an increase in Internet usage, users of online social networks (OSNs) have increased. Consequently, privacy leakage has become more serious. However, few studies have investigated the difference between privacy and actual behaviors. In particular, users' desire to change their privacy status is not supported by their privacy literacy. Presenting an accurate measurement of users' privacy status can cultivate the privacy literacy of users. However, the highly interactive nature of interpersonal communication on OSNs has promoted privacy to be viewed as a communal issue. As a large number of redundant users on social networks are unrelated to the user's privacy, existing algorithms are no longer applicable. To solve this problem, we propose a structural similarity measurement method suitable for the characteristics of social networks. The proposed method excludes redundant users and combines the attribute information to measure the privacy status of users. Using this approach, users can intuitively recognize their privacy status on OSNs. Experiments using real data show that our method can effectively and accurately help users improve their privacy disclosures.

• The Korean Journal of Food & Health Convergence
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• v.8 no.4
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• pp.23-30
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• 2022

This study aims to analyze the premium hamburger market, which has recently become popular, the effect of the importance of the customer selection attribute of premium hamburgers on customer satisfaction, and the effect of customer satisfaction on repurchase intention. Existing research has focused on the importance of the selection attributes of premium hamburgers. Quality, convenience, experience, and presentation visuals were selected as customer selection attributes. This study analyzed 158 customers who had purchased and tasted premium hamburgers. To verify reliability and validity, a confirmatory factor analysis and discriminant validity analysis were performed, and a path analysis was carried out using structural equation modeling. The results showed that the quality, convenience, experience, and presentation visuals of premium hamburgers had a statistically significant effect on satisfaction. Moreover, satisfaction was verified to have a significant effect on repurchase intention. Customers' preference for premium burgers will continue to increase, thanks to the growth in national income, single-person families, and healthy food wellness. It was empirically proven that the selection attributes of premium burgers have a statistically significant effect on customer satisfaction and that satisfaction significantly affects repurchase intention. This study broadens the research horizon and has practical implications.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.653-662
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• 2014

The data repositories for structural experiment information needs to be efficient to use in order to allow structural engineers and researchers to store and retrieve easily the information involved in the structural experiments. The data repositories can be evaluated in terms of the organization of the data repositories themselves and of the organization of the actual experiment information in the data repositories, which can be represented using classes and objects with their attributes. This paper proposes the evaluation criteria of attributes of the classes and objects. The evaluation criteria of the attributes of the classes, such as the number of attributes in class and the numbers of the data-valued and object entity-valued attributes, are used for understanding the complexity of the organization of the data repositories. The evaluation criteria of the attributes of the objects, such as the number of valued attributes in object, are used for describing how the actual experiment information is stored through the levels in the data repositories for the structural experiment information.