• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.3
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• pp.119-128
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• 2006

The augmentation in social deviation of adolescence is one of the issues that modern society should resolve. Deviation behavior of adolescents is often expressed as clothing behavior being against the social or school rules. Therefore, to understand the social deviation and clothing behavior of adolescents, the study investigated the relationship with the level of social deviation, clothing interest, the attitude toward clothing, and clothing deviation. Survey was utilized to collect the data and subjects were 411 female high school students. Principal component analysis and regression analysis were used to analyze the data. While the level of social deviation of female high school students had no statistically significant influence on the fashion-oriented attitude, clothing interest of them had an effect on the fashion-oriented attitude, suggesting that adolescents, having a high interest in clothing, thought the fashion-oriented attitude as an important clothing attribute. The level of social deviation of subjects had a statistically significant influence on the behavior of clothing deviation. The less the subjects took an interest in clothing and the lower the level of social deviation was, the more they thought the status-oriented clothing attitude as an important clothing attribute. Also, the result revealed a similar tendency in the modesty-oriented clothing attitude to that in the status-oriented clothing attitude.

• School Mathematics
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• v.16 no.2
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• pp.387-407
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• 2014

Gender differences have been given major attention in mathematics education in the context of pursuing gender equity in instructional and learning environment. It had been traditional belief that male students would outperform female students in mathematics, especially in the areas as geometry. This belief has been given doubts by cumulated empirical evidences that gender differences are gradually diminishing or even reversing its direction as time goes on. In this study, gender differences in geometry were explored using TIMSS 8th grade mathematics data administered in TIMSS 2003, 2007, and 2011, based on a cognitive diagnostic modeling(CDM) approach. Among various CDM models, the Fusion model was employed. The Fusion model has advantages over other CDM models in that it provides more detailed information about gender differences at the attribute level as well as item level and more mathematically tractable. The findings of this study show that Attribute 3(Three-dimensional Geometric Shapes) revealed statistically significant gender differences favoring male students in TIMSS 2003 and 2007, but did not show significant differences in TIMSS 2011, which provides an additional empirical evidence supporting the recent observation that gender gap is narrowing. In addition to the general trends in gender differences in geometry, this study also provided affluent information such as gender differences in attribute mastery profiles and gender differences in relative contributions of each attribute in solving a particular item. Based on the findings of the CDM approach exploring gender differences, instructional implications in geometry education are discussed.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.6
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• pp.1-11
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• 2010

The purpose of this research is to identify satisfaction levels of the arboretum which will be provided in the Multifunctional Administrative City and to estimate the economic value of using choice experiments. The attributes were "Preservation", "Education", "Recreation", "Facility", "Accessibility" and the entrance fee. The main effects model was utilized to construct hypothetical alternatives. Calibration of the conjoint choice model revealed that 'wetlands' and 'forest trails' in "Preservation" and the "Recreation", respectively, were significant variables. This result indicates that respondents are willing to pay more for these if they are provided in the arboretum. Also, 'variety seeking' tendency, age, and income level positively influenced the provision of the arboretum. Involvement in preservation of natural environment, however, had a negative influence on the establishment of the arboretum. Because this study is the first attempt to estimate the economic valuation of an urban arboretum using choice experiment, there are several suggestions for future research in terms of determining the base level and inclusion of salient attribute levels.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.183-196
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• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• Korean journal of food and cookery science
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• v.29 no.5
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• pp.553-562
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• 2013

The purpose of this study was to analyze the key factors considered important by customers in the selection of a Korean restaurant through the use of conjoint analysis techniques. A total of 400 questionnaires were distributed over a 2-week period in October 2011, of which 354 were completed (88.5%). Statistical analysis was then carried out using the Windows 18.0 Statistics package. The research was based on the analysis of two target areas - daily meals and special purpose meals. Responses were measured by using Zaichkowsky's Personal Involvement Inventory (PII) and a 7-point Likert Scale. Overall it was found that in all areas of the results regarding the involvement related analyses, daily meals scored lower than special purpose meals. This implied that the choice of daily meals is more applicable to customers with a low level of involvement, whereas high-involvement customers were more likely to focus on special purpose meals. The analysis of high-involvement customers revealed that the quality of food, price, service quality and physical environment, in order of priority, were the most important factors in selecting a restaurant. The use of the optimum attribute combination revealed the following results: delicious food (0.601); friendly staff (0.170); clean restaurant (0.191); price of 20,000 won (-0.513). Furthermore, low-involvement customers considered the following factors as important when selecting a Korean restaurant: quality of food, followed by price, physical environment and service quality in that order. In this instance, the optimum attribute combination showed the following outcomes: tasty food (0.645); friendly staff (0.418); clean restaurant (0.365); price of 5,000 won (-0.847). These results indicated the importance of developing a marketing plan which was based specifically on a customer's involvement level, focusing on their main selection criteria when choosing a Korean restaurant.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.185-192
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• 2015

This study was conducted to identify how cadastral information quality is managed at which level by reviewing the current cadastral information creation and quality management methods. In addition, relevant issues were deducted and, based on the results, plans for cadastral information quality improvement were suggested. The study results are as follows. As a result of reviewing the cadastral information quality management and its level and deducting the relevant issues, it was found that current cadastral information quality management is confined to positional accuracy, instead of comprehensive quality management embracing graphic and attribute information. In addition, it appeared that the quality measurement elements for spatial information quality management recommended by the International Standard Organization (ISO 19113) are not reflected enough. In this study, a plan of quality management at an international level, plan for introducing a quality test process, and plan for organizing an independent quality test organization were suggested as improvement plans for this corresponding issues.

• Journal of KIBIM
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• v.11 no.1
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• pp.39-46
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• 2021

Urban residents in crowded complexes are making increasing civil complaints about noise and demanding pleasant and comfortable residential environments. Because noise is one of the most important factors related to urban residents' dissatisfaction with their living environments, the present study investigates the direct and indirect effects of noise-related outdoor environmental factors on residential level satisfaction, using noise level data from 29 noise-measuring stations in Seoul. From 62 multi-family apartment complexes near these stations, the authors collected GIS-based environmental attribute data, as well as survey data including the residents' personal characteristics and indicators designed to measure latent psychological characteristics: noise sensitivity and residential noise level satisfaction. This study then utilized structural equation models to analyze the direct variables influencing the latent variables of noise sensitivity and residential noise level satisfaction, as well as the complex relationships among all variables. The result showed that residents who are exposed to less noise, possibly due to living in apartments facing relatively quiet roads, protected by soundproof walls, or surrounded by densely planted trees, tend to be less noise sensitive, which makes them more satisfied with the ambient noise level. Therefore, critical outdoor environmental variables can be used to reduce noise sensitivity and improve residential noise level satisfaction.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.131-136
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• 2009

The research develops the calculation steps of Z sigma level, process capability index(PCI) and process performance index(PPI) applicable to the discrete process in the service industry. The paper presents three following topics used related process indexes according to the precision and accuray in the continuous process. The contents include diverse process indexs for nonconformities by SPC attribute control charts and bias coefficient. The same technique of the nonconformites is also used in the nonconforming units. The practical examples are provided to help easier understanding for users.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.831-862
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• 2023

The rapid adoption of smartphones and tablets among employees has recently forced organizations to proactively embrace bring your own device (BYOD). The situation of COVID-19 makes the concept of BYOD even paramount. Allowing employees to bring their own mobile devices to the workplace has helped companies realize productivity gains and cost benefits. However, BYOD has also blurred the boundaries between work and personal life, thereby creating a stressful environment for employees (Doargajudbur and Hosanoo, 2023). This study explores the relationships between several BYOD attributes and investigates the effects of these attributes on work-to-life conflict. It contributes by introducing workplace connectivity after hours as a new dimension of BYOD attribute to influence work-to-life conflict. Based on boundary theory, a theoretical model is developed and tested with an online survey. The results reveal that flexibility and workplace connectivity after hours positively influence productivity, and flexibility helps to relieve instead of increase work overload. Meanwhile, a higher level of flexibility and productivity can help reduce work-to-life conflict, and a higher level of work overload induces a higher level of work-to-life conflict.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.498-503
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• 2002

Connecting with cost, schedule, and quality in a construction project, resource management is one of the essential management elements. However, the material requirement planning is built at the beginning stage of construction and needs various concerned factors, it is limited to build the resource management planning on enterprise level. The disconnected communication among managements makes impossible to control historical data. In the construction project control system, the core of management elements is to manage cost and schedule information, therefore material requirement planning should be established based on historical data about EVM which is intergating schedule and cost. In this study, a resource management system concerning material requirement planning and attribute of procurement is suggested by connecting the historical data of EVM and the material requirement planning.