• Journal of the Korean Society of Costume
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• v.51 no.3
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• pp.33-49
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• 2001

The purpose of this study was to analyse the previous color studies. A number of publications and journals were reviewed and analyzed carefully. The results of review and analysis were as follows : There were many different subjects in color studies and they were usually categorized into ten fundamental groups : color preferences, color image/symbol/association of ideas, emotion and colors, image making with colors, colors related with consumers' decision making, traditional colors, semantic color description, color plan of apparel merchandise, influential factors on colors, and color coordination preferences. In general, the color preference studies are conducted most actively, and they are followed by the studies of color image/symbol/association of ideas and traditional colors. In the previous studies on the color preferences, they provided sufficient amount of information on the preferred colors and the preferred apparel colors. however, they lacked in providing appropriate explanation on how these color preferences were related with colors in fashion. Also, there have been no thorough studies that questioned the reliability of measurement methods for obtaining color preference data. The authors also realized that it was extremely difficult to find any related publications on the studies that focus various influential variables on the disagreement between the preferred color and preferred apparel color. Thus, this study directed the future studies to solve the problem discussed above.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.11a
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• pp.159-165
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• 2008

For deciding the profitability and feasibility of the construction project, the schematic estimation has to not only link the design decision-making but also estimate the cost with reliability. The Object-based schematic estimation system was developed for easily linking with design-making and supports to evaluate the design alternatives in the design development stage but didn't consider the cost estimated by object supplementary and parameter work item. This research presents the Integrated Object-Parameter Schematic Estimation Model in the design development stage that can lead to more accurately estimate the cost through analyzing historical data from the high-storied office buildings. For the development of the proposed model for schematic estimation, after analyzing and classifying the work items from the Bills of Quantities(BOQs) and drawings of historical data, this research proposed the methods of estimating cost in accordance with attributes of each work item using regression analysis. In addition, a case study is performed for the effectiveness as comparing the proposed model with the previous estimating model.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.167-178
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• 2016

Spectrum sensing in cognitive radio (CR) has a great role in order to utilize idle spectrum opportunistically, since it is responsible for making available dynamic spectrum access efficiently. In this research area, collaboration among multiple cognitive radio users has been proposed for the betterment of detection reliability. Even though cooperation among them improves the spectrum sensing performance, some falsely reporting malicious users may degrade the performance rigorously. In this article, we have studied the detection and nullifying the harmful effects of such malicious users by applying some well known outlier detection methods based on Grubb's test, Boxplot method and Dixon's test in cooperative spectrum sensing. Initially, the performance of each technique is compared and found that Boxplot method outperforms both Grubb's and Dixon's test for the case where multiple malicious users are present. Secondly, a new algorithm based on reputation and weight is developed to identify malicious users and cancel out their negative impact in final decision making. Simulation results demonstrate that the proposed scheme effectively identifies the malicious users and suppress their harmful effects at the fusion center to decide whether the spectrum is idle.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.730-731
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• 2015

This study aims at giving the framework to estimate the environmental load at planning and schematic phase. With increasing awareness of environmental issues, the effort to reduce the environmental impacts caused by human activity has been increasingly enlarged. So far most of researches estimating CO₂ emissions have analyzed energy consumption based on BOQ (Bills of Quantity) acquired after detailed design. There is also lack of reliability in the estimated environmental impact using the basic unit of a facility at the planning stage, because it uses a limited specific section of historical data. Thus, this study is targeted at developing framework to assess reliable environmental loads based on information available at project early phases by making case-bases from historical design information on PSC Beam Bridge. Historical database is built on the basis of the LCA (Life Cycle Assessment) and in order to set input information for estimating model, the literature about information in an early project phase are reviewed. Using the information available in the planning and schematic design stage, the Framework is presented to estimate the environmental load in an early stage in the project. Developing an environmental load estimation model in accordance with the Framework presented in this study, it is expected that the environmental load in the initial project phase can be estimated more quickly and accurately.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.16 no.2
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• pp.69-80
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• 2017

In or To use, manage, and preserve sustainable water resources for the current and future generations amid the threat of abnormal climate, it is necessary to establish a smart water grid system, the next-generation intelligent water management system. In this study, sensors, which make use of the five senses to watch, listen, and detect machine vibration, bearing temperature, machine operation sounds, current, voltage, and other symptoms that cannot be verified when the irrigation facilities are running, are used to establish various decision-making criteria appropriate to on-site situations. Based on such criteria, the unmanned conditions in the facilities were verified and analyzed. Existing technologies require on-site workers to check any defects caused by overloading of machines, which is the biggest constraining factor in the application of an unmanned control system for irrigation facilities. The new technology proposed in this study, on the other hand, allows for the unmanned analysis of the existence of machine vibration. This controls the decision-making process of any defect based on the analysis results, and necessary measures are taken automatically, resulting in improved reliability of the unmanned automation.

• Journal of Family Resource Management and Policy Review
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• v.13 no.4
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• pp.115-139
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• 2009

This study focused on the development of a scale measuring the effect of consumer education. The purposes of this study were to develop a tool which could measure consumer knowledge, consumer attitudes and consumer behavior. Data were collected from 266 college students. Analysis was done using frequency, cross tabulation analysis, reliability test, principle components factor analysis, confirmatory factor analysis (Amos 5.0), and multiple regression analysis. The results from this study were as follows: 1) Nine consumer knowledge factors (23-items) were identified: consciousness of consumer education and evaluation, consumer rights and allowance management, methods of consumer education and consumer institutions, green energy and environmental consumption, essence and content of consumer education, consumer rights and consumer duty, critical consideration and consumer's damage salvation, buying minds and decision-making, independent consumers. Total variance was 58.4%. Cronbach's alpha for the nine factors ranged from .68-.79. 2) Five consumer attitude factors (26-items) were identified: green environmental consumption, consumer's role and rights, resources saving and consumer's damage salvation, consciousness of consumers, and right consumption. Total variance was 59.2%. Cronbach's alpha for the five factors ranged from .89-.94. 3) Seven consumer behavior factors (27-items) were identified: social role and rights of consumer and consumer movement, right buying and segregated garbage collection, green environmental consumption and resources saving, altruism and decision-making, allowance management and impulse buying, consumer's damage salvation, and consciousness of consumer. The total variance was 59.1%. Cronbach's alpha for the seven factors ranged from .77-.88. Finally, a scale measuring the effect of consumer education consisting of 76 items (consumer knowledge: 23 items (9 factors), consumer attitude: 26 items (5 factors), consumer behavior: 27 items (7 factors)) was constructed.

• The Journal of Industrial Distribution & Business
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• v.11 no.3
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• pp.51-62
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• 2020

Purpose - This study examined the relationship between individual creativity and its related variables to observe how individual creativity contributes to organizational performance. In addition, this study strived to explore how to maximize the utilization of individual creativity and innovate the structure of the organization itself so that teams and organizations can respond more effectively to new rising trends. this study aimed to examine whether the value congruence between individuals and organizations (propensity congruence, goal congruence has a significant impact on knowledge sharing and innovation behavior as dependent variables by exerting individual creativity and synergy as independent variables. Research design, data and methodology - SPSS 24.0 program were used to analyze the data. Descriptive Statistics and correlation analysis were performed, and the reliability factor (Cronbach's α) was calculated. Afterwards, we analyzed the moderating effects of structural equation model analysis and hierarchical regression analysis. The number of samples used in the study were 309 copies. Results - First, Individual creativity had a positive effect on knowledge sharing and innovative behavior. In other words, it was confirmed that decision-making processes fused with individual creativity could create an atmosphere of knowledge sharing and transform the organization. Second, value congruence adjusted the influence of individual creativity on knowledge sharing and innovation behavior. Conclusions - First, it is important for managers to recognize the value and secure the pool of creative talents who will be a potential future basic source of organizational success and competitive advantage. Second, managers should be able to identify those with creative talents and expertise, and use them to increase their knowledge sharing performance, while also developing emotional and motivational creativity. Third, in order improve knowledge sharing performance, managers should pay attention to the emotional aspect of creativity. Fourth, managers should strive to create an environment that is beneficial for the reinforcement of individual self-management capabilities. Fifth, managers should be able to develop decision-making processes to develop potential creativity and encourage creative thinking, opinions, or solutions. Sixth, managers should promote the dissemination and integration of new knowledge based on the creative views and attitudes of team members.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.310-315
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• 2014

The domestic maritime environment shows higher frequency of maritime accidents amidst greater traffic volume arising from increasing international seaborne trade and maritime leisure activities. To reduce such maritime accidents, there exist various kinds of safety navigation devices in the ship bridge aimed to mitigate burdens of navigators and support their accurate decision making. Amongst is the AIS considered very important, which is an automatic tracking system to assist understanding of the circumstances in the vicinity by receiving information of other ships and also sending its own; where the information contains errors initially, however, such wrong information is periodically transmitted, accordingly giving rise to hindrance sometimes in decision making by shore operators or ship navigators at sea. This study is to propose the error data and field management algorithm using fuzzy theory toward improving reliability and accuracy in ship related information received from AIS.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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• pp.37-47
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• 2022

The purpose of this study is to introduce the concept of community resilience to rural society and build an index suitable for the reality of rural areas. Furthermore, by calculating the importance of evaluation factors, it was attempted to present priorities and alternatives for each evaluation factor. By stratifying the derived indicators, a survey was conducted targeting 20 researchers, practitioners, and public officials, three groups of experts working in rural areas who were well aware of the realities and problems of rural areas. In the survey, a pairwise comparison was performed to compare factors 1:1 to calculate the importance, and for rational and consistent decision-making, decisions were made in the 9-grade section. Using the collected data, consistency analysis that can evaluate reliability in the decision-making process and the relative weight of evaluation factors were calculated through AHP analysis. As a result of the analysis, as a result of examining the priority of final importance by summarizing the importance of all evaluation factors, 'Income creation using resources' > 'Population Characteristics' > 'Tolerance' > 'External Support' > 'Social Accessibility' > 'Physical Accessibility' > 'Community Competence' > 'Infrastructure' > 'Leader Competence' > 'Natural Environment' was derived in the order. In the study dealing with urban community resilience indicators, social aspects such as citizen participation, public-private cooperation, and governance were presented as the most important requirements, but this study differs in that the 'income creation' factor is derived as the most important factor. This can be seen through the change in the income difference between rural and urban areas. The income structure of rural areas has changed rapidly, and it is now reaching a very poor level, so it is necessary to prepare alternatives to 'income creation' in the case of rural areas. Unlike urban indicators, 'population characteristics' and 'tolerance' were also derived as important indicators of rural society. However, there are currently no alternatives to supplement the vulnerability by strengthening the resilience of rural communities. Based on the priority indicators derived from the study, we tried to suggest alternatives necessary for rural continuity in the future so that they can be supplemented step by step.

• Journal of Computational Design and Engineering
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• v.2 no.1
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• pp.16-25
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• 2015

Since construction projects are large and complex, it is especially important to provide concurrent construction process to BIM models with construction automation. In particular, the schematic Quantity Take-Off (QTO) estimation on the BIM models is a strategy, which can be used to assist decision making in just minutes, because 70-80% of construction costs are determined by designers' decisions in the early design stage. This paper suggests a QTO process and a QTO prototype system within the building frame of Open BIM to improve the low reliability of estimation in the early design stage. The research consists of the following four steps: (1) analyzing Level of Detail (LOD) at the early design stage to apply to the QTO process and system, (2) BIM modeling for Open BIM based QTO, (3) checking the quality of the BIM model based on the checklist for applying to QTO and improving constructability, and (4) developing and verifying a QTO prototype system. The proposed QTO system is useful for improving the reliability of schematic estimation through decreasing risk factors and shortening time required.