• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2002년도 춘계학술발표대회 논문집
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• pp.121-124
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• 2002

Mass culture is product of media technology. We are absorbing and surround in optical image which reflex medium emits by night and day continually specially and live culture and information produced infinitely through mass media. People discharging in main living room now to remote control a television manufacture because carrying out move freely and is preoccupied with object of interest that have been spread in a television, and assimilate all image like sponge. Reflex medium contacted habitually every day whether do not want even if want can do that populace cultural personality is much stronger as subject that make actuality of processing.

• 한국인공지능학회지
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• 제7권2호
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• pp.1-8
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• 2019

This paper, we argue that sector in terms of the creative industries the need to the institutional settle of the rent-a-driver business; the industry could create more than 200,000 jobs, the effect is to bring out the about 4 trillion underground economy and Can be interpreted industry, which contributes to reduce social costs, ranging from 1.7 trillion won to 5.7 trillion per year. Through institutionalization of policy should support. Observation and in-depth interviews were conducted with the law and the president of the rent-a-driver business company. The operating system should be improved. the rent-a-driver business, for the formulation of the work ethic and education is desperately needed. The effect socio-economic contribution effect of the rent-a-driver business industry can be summarized as follows. First, it is an industry that has an operating system utilizing state-of-the-art technology and equipment, and the convergence of creative industries to comply with the market. Second, the effect appears as an industry that creates jobs for the populace to replace the social security system, social safety net is considered as an industry. Third, this is an industry that can be self-reliant in the short term at least political support, the industry is considered in the industry to maximize the effectiveness and efficiency of the support policy.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.437-446
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• 2005

Recently as people's values are changing from development phase into running stage after quality of life, so that the needs of environmentally friendly construction are gradually increasing. Also populace discontent about the pollution during construction process such as the noise and vibration caused by construction machinery is increasing. Even though it is impossible to eliminate the construction pollution fully, it is necessary to make efforts to reduce construction pollution to a minimum. In terms of construction site operating, the first possible step for solving these matters directly is that the necessary sum of expenses must be secured as the environmental management costs in the conceptual phase. However, in fact, the environmental management costs have not been secured in the budget. Generally it is the major reason not arising proper activities to prevent the pollution in the construction site. The purpose of this research is to suggest the efficient budgeting method regarding Environmental management costs to ensure the necessary sum of environmental management expenses. To provide an efficient budgeting method, interviews with the person in charge of environment management was conducted. 78 construction sites was surveyed and environmental management costs were analyzed through their historical data from the survey. According to the results of analysis, the ratio of environmental management costs is revealed 0.45% of construction cost as average comparing 0.2% of legal limit. And usually the environmental management cost was appropriated into the safety management budget. So it is needed to isolate environmental management budget securely and modify the ratio of Environmental conservation Costs in Construction Technology Management Act.

• 대순사상과 동아시아종교
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• 제1권2호
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• pp.13-39
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• 2022

The author examines three new religious movements in South Korea: Jehovah's Witnesses, the Unification Church, and the Daesoon Jinrihoe, and aims to identify the factors that are conducive to the growth of each. All three organisations believe in a coming paradise, and the article explores their respective attempts to interest the populace in their appeal. Discussion is given to membership statistics and the problems of measuring allegiance and moves on to consider methods of propagation. Most obviously, evangelisation strategy is important: Jehovah's Witnesses and Unificationists have tended to engage the interest of strangers, while followers of Daesoon Jinrihoe are more inclined to evangelise family and friends. Additionally, there are other factors that determine an organisation's progress: cultural appropriateness, engagement in social and educational work, and attitudes to conflict and peace, the latter being particularly important in a society that has experienced war and occupation. Reference is made to the ways in which these three organisations finance themselves, and it is argued that financial resources merit greater attention in the scholarly study of religion, since monetary assets are needed to secure a spiritual movement's existence. Of the three organisations under discussion, the Daesoon Jinrihoe has been the most successful, being South Korea's largest new religion, while Jehovah's Witnesses are in steady state, and the Unification movement is experiencing slight decline.

• 한국의류학회지
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• 제28권5호
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• pp.570-581
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• 2004

The purpose of this study is to analyze the acceptance and interpretation of pop musician's image in the Korean youth subculture, Fan Costume play(Fancos). Fancos subculture took the most active attitude to accepts of the pop musician's image and therefore was assumed to have various and differential acceptance aspects. The ethnographic method was used in order to approach more closely from their point of view. The cultural activity of Fancos subculture was imitation and reappearance of pop musician's appearance. Actually Fancos is a kind of fan-culture which idolized Korean pop music star. The acceptance of musician's appearance in Fancos is found out in two aspects. One is passive acceptance aspects that inforces conformity of star fashion and follows servilely ideal body image which promoted by cultural industry. The other is unique acceptance aspects that Fancos members interpret the musician's image in their own way. Those members experience pleasure through their own meaning. And homology of their appearance makes a distinction between of themselves from other youth and intensifies their group identity. As above analyzed, Fancos subculture has differential acceptance of pop music star's image comparing to other youth and even their stylistic appearance reflects not only their fandom but also their own meaning. Consequently, pop musician's image as a popular cultural text is accepted not equal to all populace but dissimilar along with contexts and trails of the acceptance group.

• Journal of Information Processing Systems
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• 제14권4호
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• pp.961-979
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• 2018

For many years, matching in a bipartite graph has been widely used in various assignment problems, such as stable marriage problem (SMP). As an application of bipartite matching, the problem of stable marriage is defined over equally sized sets of men and women to identify a stable matching in which each person is assigned a partner of opposite gender according to their preferences. The classical SMP proposed by Gale and Shapley uses preference lists for each individual (men and women) which are infeasible in real world applications for a large populace of men and women such as matrimonial websites. In this paper, we have proposed an enhancement to the SMP by computing a weighted score for the users registered at matrimonial websites. The proposed enhancement has been formulated into profit maximization of matrimonial websites in terms of their ability to provide a suitable match for the users. The proposed formulation to maximize the profits of matrimonial websites leads to a combinatorial optimization problem. We have proposed greedy and genetic algorithm based approaches to solve the proposed optimization problem. We have shown that the proposed genetic algorithm based approaches outperform the existing Gale-Shapley algorithm on the dataset crawled from matrimonial websites.

• Architectural research
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• 제22권3호
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• pp.85-95
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• 2020

While there has been a substantial amount of studies on public rental housing of Korea, most have focused on housing policy changes, international comparisons, and current characteristics and future prospects. This article aims to examine the evolving roles of the national and local governments, and the private sector in provision of Korea's public rental housing. The findings suggest that one, although the wave of neoliberalism and financial crisis have prompted the national government to reduce its role and to encourage engagement of other actors by utilizing incentivizing tools, it has continued to assume a central position in formulating and implementing housing supply plans. Two, local governments have played a marginal role throughout the history of public rental housing supply, although they have expanded their participation through redevelopment projects and utilization of existing housings. Three, private sector actors have expanded their role to delivering public benefits of making housing available for a wider range of populace leveraging various incentives that make projects financially more feasible. The study poses a question on how responsibilities and risks can appropriately be allocated among three key actors to achieve housing welfare going forward.

• 한국과학교육학회지
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• 제32권3호
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• pp.532-540
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• 2012

This research investigated the motivation and interests of a sample of predominately-underrepresented populations to better understand whether informal STEM learning experiences offer support for developing STEM identities. A valid and reliable three-section self-reporting survey was administered to 169 secondary students as the primary data source. Identity was used as a theoretical lens along with descriptive statistics to reveal students' perceived benefits of the informal STEM learning experience, a Mathematics, Engineering, Science Achievement (MESA) program in the western U.S., for improving their understanding of science, mathematics, and engineering concepts, increasing their interest in science, mathematics, and engineering careers, and increasing their belief of the importance of these STEM disciplines. In summary, the findings emerging, considered alongside current identity research, suggest that informal STEM learning experiences offer students from underrepresented STEM populations the space needed for successful STEM identity bids, either for future career pursuits or participation in a STEM literate populace as a non-STEM professional societal member.

• Safety and Health at Work
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• 제3권4호
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• pp.298-304
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• 2012

The United Arab Emirates (UAE) has experienced tremendous economic and industrial growth in the petroleum, airline, maritime and construction sectors, especially since the discovery of oil reserves. Mass recruitment of low skilled or unskilled laborers from less-developed countries has been utilized to satisfy the manpower demands of these fast paced industrial developments. Such workforce recruitment has created an unusual populace demographic, with the total UAE population estimated at 8.3 million, composed of 950,000 Emiratis, with the remainder being multinational expatriate workers, with varying educational qualifications, work experience, religious beliefs, cultural practices, and native languages. These unique characteristics pose a challenge for health and safety professionals tasked with ensuring the UAE workforce adheres to specific occupational health and safety procedures. The paper discusses two case studies that employ a novel multimedia approach to raising health and safety awareness among a multinational workforce.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.17-28
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• 2023

Today Agriculture segment is a significant supporter of Indian economy as it represents 18% of India's Gross Domestic Product (GDP) and it gives work to half of the nation's work power. Farming segment are required to satisfy the expanding need of food because of increasing populace. Therefore, to cater the ever-increasing needs of people of nation yield prediction is done at prior. The farmers are also benefited from yield prediction as it will assist the farmers to predict the yield of crop prior to cultivating. There are various parameters that affect the yield of crop like rainfall, temperature, fertilizers, ph level and other atmospheric conditions. Thus, considering these factors the yield of crop is thus hard to predict and becomes a challenging task. Thus, motivated this work as in this work dataset of different states producing different crops in different seasons is prepared; which was further pre-processed and there after machine learning techniques Gradient Boosting Regressor, Random Forest Regressor, Decision Tree Regressor, Ridge Regression, Polynomial Regression, Linear Regression are applied and their results are compared using python programming.