• Journal of the Korea Furniture Society
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• v.28 no.4
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• pp.278-285
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• 2017

The meaning and context of objects has been changed in various ways depending on the times. Functionality of objects has been developed in various directions according to the point of view of the objects. Objects have been used as mediums to realize art in daily life, and to realize the relational forms. Based on this, it is confirmed that furniture can be an appropriate medium to articulate everyday life and to derive relational form. The 'furniture as a behavior' has the following characteristics. First, it functions to make daily life unfamiliar. By doing something unfamiliar in everyday life, users experience similar experiences as when they entered the surreal world of art museum. In this way, the possibility of everyday arts is acquired. Second, the mental and behavioral functions of furniture are continuously changed by interaction with the user. Behavior does not occur unconsciously, but involves changes in consciousness that the user intentionally does. Therefore, as the user's level of consciousness grows, personal experience changes, and the behavioral function of the household changes. The study of 'furniture as a behavior' is suggested as one approach to design furniture.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.29-53
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• 1997

Conventional switching systems have been using flat file systems or relational database systems to deal with their operational data. However, newly emerged requirements for advanced switching systems make relational database systems no longer proper solutions. This paper defines object-oriented interfaces that effectively incorporate data characteristics of switching systems. In addition, it exemplifies how the method works on an actual database systems for the TDX-10 switching system.

• Journal of Fashion Business
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• v.20 no.1
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• pp.17-34
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• 2016

This research is a construct to understand CSR and pro-social consumption behavior of fashion consumers which classifies CSR efforts of fashion company and conducts positive analysis of the relationship between such characteristics and social relationship behaviors(sharing of values, consciousness of kind, consciousness of future expectation) and pro-social consumption behavior. For this path analysis was conducted utilizing a sample of 430 consumers who have experience of CSR efforts of fashion brands. The result is as follows. First, as a result of the path relationship among CSR efforts & sharing of values of fashion brands, consciousness of kind and consciousness of future expectation, economic efforts, relational efforts and cyclical efforts meaningfully affected sharing of values, whereas creative efforts did not. Also, relational and creative efforts meaningfully affected consciousness of kind, whereas economic and cyclical efforts did not. Furthermore, economic, relational and cyclical efforts meaningfully affected consciousness of future expectation, when creative efforts failed. Second, as a result of the analysis of path relationship among sharing of values, consciousness of kind, consciousness of future expectation and pro-social consumption behavior of social relationships, sharing of values had a meaningful impact on consciousness of kind, consciousness of future expectation and pro-social consumption behavior. And finally consciousness of kind and future expectation showed meaningful influence on pro-social consumption behavior.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.123-128
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• 2001

This study was performed to find out variation of carbonation progress of agricultural hydraulic concrete structures along the used years with using Thermo Gravimetric analysis/Differential Thermal Analysis(TG/DTA) and Indicator(phenolphthalein). In this study some conclusions such as follows were derived. Firstly, The result that the age of structures and the content of $Ca(OH)_{2}\;and\;CaCO_{3}$ in concrete have proportional relationships was found in the method of TG/DTA. This relational functions could be used to estimate remain lifetime of structures, obtaining the limits of the content of $CaCO_{3}$ in concrete which reinforcement corrosion could be occurred with breaking protection cover of alkalinity. Second, if the result of strength, voids, permeability characteristics could be combined with this relational function this may be able to be used as a new more accurate assessment technique for the quality of concrete than current usual methods. Third, environmental affect could be more superintendent for concrete carbonation than the age of agricultural hydration structures. Forth, It is difficult to estimate the used year of agricultural hydraulic concrete structures with the carbonation depth measured by indicator method. Finally, the accuracy of this relational function could be decided to be upgraded with continue analysis for more structures.

• The Journal of Information Systems
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• v.28 no.4
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• pp.27-47
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• 2019

Purpose The study examined the key factors influencing the formation mechanism of SNS addiction. Based on the use and gratification theory, we considered relationship maintenance, perceived enjoyment, and self-expression as main desires to induce SNS addiction. The characteristics of SNS users were also considered as major factors affecting SNS addiction. In particular, self-control and subjective well-beings were considered to be prevention factors that could reduce SNS addiction, while SNS relational intimacy was considered to be a facilitator that would increase SNS addiction. Design/Methodology/Approach A structural equation modeling (SEM) method was used to test the theoretical framework based on a sample of 224 Facebook users who have used it more than 6 months. Confirmation factor analysis was conducted to check the reliability, convergent validity, and discriminant validity. Findings Relationship maintenance had a significant effect on self-disclosure intention and SNS addiction, respectively. Perceived enjoyment was significantly related to self-disclosure intention, while it was insignificantly associated with SNS addiction. However, self-expression was not significantly related to both self-disclosure intention and SNS addiction. Consistent with our expectations, both self-control and subjective well-beings had negative effects on SNS addiction. The analysis results found that SNS relational intimacy was positively related to SNS addiction.

• Smart Structures and Systems
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• v.20 no.2
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• pp.219-229
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• 2017

Outlier detection is an imperative task to identify the occurrence of abnormal events before the structures are suffered from sudden failure during their service lives. This paper proposes a two-phase method for the outlier detection of Global Positioning System (GPS) monitoring data. Prompt judgment of the occurrence of abnormal data is firstly carried out by use of the relational analysis as the relationship among the data obtained from the adjacent locations following a certain rule. Then, a negative selection algorithm (NSA) is adopted for further accurate localization of the abnormal data. To reduce the computation cost in the NSA, an improved scheme by integrating the adjustable radius into the training stage is designed and implemented. Numerical simulations and experimental verifications demonstrate that the proposed method is encouraging compared with the original method in the aspects of efficiency and reliability. This method is only based on the monitoring data without the requirement of the engineer expertise on the structural operational characteristics, which can be easily embedded in a software system for the continuous and reliable monitoring of civil infrastructure.

• Steel and Composite Structures
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• v.23 no.1
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• pp.31-40
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• 2017

This article aims at presenting multi objective optimization of parameters that affect crashworthiness characteristics of bi-tubular structures using Taguchi method with grey relational analysis. To design the experiments, the $L_9$ orthogonal array has been used and based on that, the inner tubes have been fabricated by varying the three influence factors such as reference diameter, length difference and numbers of sides of the polygon with three levels, but all the outer cylinders have the same diameter and length 90 mm and 135 mm respectively. Then, the tailor made bi-tubular steel structures were subjected into quasi static axial compression. From the test results it is found that the crushing behaviors of bi-tubular structures with different combinations were fairly significant. The important responses (crashworthiness indicators) specific energy absorption and crush force efficiency have been evaluated from load - displacement curve. Finally optimal levels of parameters were identified using grey relational analysis, and significance of parameters was determined by analysis of variance. The optimum crashworthiness parameters are reference diameter 80 mm, length difference 0 mm and number of sides of polygon is 3, i.e., triangle within the selected nine bi-tube combinations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.223-225
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• 2013

For a long time, Relational Databases have been widely used in many enterprises. Even though the Relational Databases have merits such as excellent power of data preservation, concurrency controlling as a standard model in databases, there are a demerit in the inconsistency of objects and relations. Against this backdrop, NoSQL is being magnified as a new solution for Big Data since it can be operated without any schema. In this paper, we research on not only merits and demerits of Relational Databases but also the comparison between application databases and integrated databases. And then, we define NoSQL for Big Data and check its characteristics.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.3
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• pp.198-207
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• 2012

In product or process parameter design, the case of multiple performance characteristics appears more commonly than that of a single characteristic. Numerous methods have been developed to deal with such multi-characteristic parameter design (MCPD) problems. Among these, this paper considers three representative methods, which are respectively based on the desirability function (DF), grey relational analysis (GRA), and principal component analysis (PCA). These three methods are then used to solve the MCPD problems in ten case studies reported in the literature. The performance of each method is evaluated for various combinations of its algorithmic parameters and alternatives. Relative performances of the three methods are then compared in terms of the significance of a design parameter and the overall performance value corresponding to the compromise optimal design condition identified by each method. Although no method is significantly inferior to others for the data sets considered, the GRA-based and PCA-based methods perform slightly better than the DF-based method. Besides, for the PCA-based method, the compromise optimal design condition depends much on which alternative is adopted while, for the GRA-based method, it is almost independent of the algorithmic parameter, and therefore, the difficulty involved in selecting an appropriate algorithmic parameter value can be alleviated.

• The Journal of Information Systems
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• v.15 no.4
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• pp.23-53
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• 2006

The main purpose of this paper is to setup a integrated model and verify the integrated model for a customer loyalty in the internet shopping environments. The results of a structural equation model (SEM) using AMOS and LISREL include: First, hypothesis that Internet environment characteristics in outside factors has a positive effect on satisfaction, trust and commitment is partially supported. However, mutual communication to satisfaction, community to commitment and open-ubiquity to trust did not reveal a positive effect. Second, hypothesis that Internet showing mall environment has a positive effect on satisfaction is partially supported. However, transaction to commitment and transaction to trust did not reveal a positive effect. Third, hypothesis that relational benefits has a positive effect on both satisfaction and commitment is partially supported. However, confident honest to commitment and economic honest to trust did not reveal a positive effect. Forth, satisfaction trust and commitment have a strong effect upon loyalty. Fifth, satisfaction has a positive effect on trust and commitment. However, trust did not show a positive effect on commitment. Outside factors(Internet environment characteristics, showing mall characteristics, and relational benefit) partially revealed a positive effect on satisfaction trust, and commitment. Mediating variables such as satisfaction, trust, and commitment again have positive effect on loyalty. But, the relationship for trust to commitment did not reveal the significant effect in this study while other studies revealed significant effect.