• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.4
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• pp.161-184
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• 2011

As movie demands become more and more diversified, it is necessary for movie related firms to segment a whole heterogeneous market into a number of small homogeneous markets in order to identify the specific needs of consumer groups. Relevant market segmentation helps them to develop valuable offer to target segments through effective marketing planning. In this article, we introduce various segmentation methods and compare their advantages and disadvantages. In particular, we analyze "2009~2010 consumer survey data of Korean Film Industry" by using Latent Class Analysis(LCA), a statistical segmentation method which identifies exclusive set of latent classes based on consumers' responses to an observed categorical and numerical variables. It is applied PROC LCA, a new SAS procedure for conducting LCA and finally get the result of 11 distinctive clusters showing unique characteristics on their buying behaviors.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.727-730
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• 2008

최근 연구에 의하면 기상 등의 외부적 요인이 수문학적 빈도를 변화시킨다고 알려지고 있다. 그러나 전통적인 수문학적 빈도해석은 자료의 정상성을 전제로 하기 때문에 어떤 외부인자의 따른 영향을 고려할 수 없다. 본 연구에서는 비정상성 빈도해석 모형의 기본 개념 및 절차에 대해서 살펴보았고 이를 국내 자료에 대해서 적용 검토하였다. 본 연구에서는 계층적 Bayesian 방법을 이용하여 한국에서 극치사상의 영향을 미치는 다양한 영향 인자를 평가하였다. 해수면온도, 예측 GCM 강수량 및 기상인자를 잠재적인 영향인자로 고려하였다. 수문위험도 분석에 관련된 매개변수는 Markov Chain Monte Carlo (MCMC) 방법을 이용하였다. 각 예측 인자의 적합성 및 중요성은 각 예측인자와 관련된 매개변수의 사후분포를 이용하여 검토 평가하였다.

• Journal of Energy Engineering
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• v.29 no.2
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• pp.23-29
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• 2020

In this study, the last 10 years of news data on fine dust was collected and 80 topics are selected through LDA analysis. As a result, weather-related information made up the main words for the topic, and we can see that fine dust becomes a big issue below 10 degrees Celsius. The frequency of exposure to the media and the maximum concentration of fine dust are correlated with positive. Topics related to fine dust reduction measures and the government's comprehensive measures over the past decade, topics related to products such as air purifiers related to fine dust, topics related to policies protecting vulnerable people from fine dust, and topics on fine dust reduction through R&D were found to be major topics. Measures against fine dust as a social issue can be seen to be closely related to the government's policy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.493-503
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• 2021

In this study aviation authority officials were classified into four cultural groups according to culture theory, and then questioned to determine the effects of cultural bias on their social acceptance of a new air traffic flow management system. Based on previous studies, cultural biases were categorized as egalitarianistic, individualistic, fatalistic, and hierarchical, and social acceptances were considered to be influenced by four variables, that is, perceptions of usefulness, work attitude, intention to use, and behavior (job absorption). Empirical analysis showed that hierarchy had a significant positive effect on social acceptance, and egalitarianism was found to have a significant positive effect on social acceptance with 95% credibility. We propose the organizational culture of Korean government be changed to accept the diverse opinions of government officials during the implementation phase of the new system recommended by ICAO.

• Spatial Information Research
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• v.16 no.3
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• pp.343-357
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• 2008

Hongdo and Huksando belong to the Dadohae national park parks in Korea and are famous sightseeing spots in Shinahn-gun. One of the keystone species in this area is otter (Lutra lutra). We accomplished field works for finding its present habitat and condition analyses for the potential habitat in the area via spatial analyses with digital elevation model and satellite imagery. Isolated condition with coastal cliffs was one of the superior conditions over habitat in the main land, but the road kills of small animals were also observed. Three underground eco-corridors were suggested for the protection of otter habitat in the Shinahn-gun area. Regional development strategies of Shinahn-gun should be focused on the protection of safe and pristine habitat for otter population.

• Journal of Family Resource Management and Policy Review
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• v.17 no.4
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• pp.189-213
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• 2013

The purpose of this work is to explore different types of intergenerational relationships in the later lives of old retirees. This will be done according to the eligibility of public pension and the old age social security system so that the factors affecting intergenerational relationships can be analyzed, and to propose a plan to improve social adaptation in later life. The data used in this work are the Fourth basic survey data of the 2011 Korea Retirement and Income Study. The study subjects of this work were 2,435 retirees over age 65 who had children. In this study, latent class analysis and logistic regression analysis were conducted to classify types of intergenerational relationships and to analyze the influence of relevant factors. As a result of the analysis, some of those in the group were eligible for public pension, and the ones who were not were classified into three types: the closely-living-together type, the separate-living-contact type, and the estrangement type. In the group not eligible for public pension, it was found that age, spouse, number of children, economic factors, and level of health satisfaction gave significant power to intergenerational relationships. In the group eligible for public pension, it was found that age, income and net assets, ADL(Activities of Daily Living), whether there was an IADL(Instrumental Activities of Daily Living) spouse, and number of children affected types of intergenerational relationships; Socio-demographic factors, economic factors, and healthy factors became significant variables according to the classified types of intergenerational relationship. Based on the study results, this work suggested such necessities to lay the foundation for an elderly welfare system for social adaptation in later life, This includes the offering of programs for retirement preparation, the use of family and local society resources, and expansion of the opportunity to participate in social activities.

• Korean Journal of Construction Engineering and Management
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• v.8 no.1 s.35
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• pp.132-140
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• 2007

There is an increase in interest and investment in high-rise housing as it is perceived to be a new value-added market in the construction industry. In constructing a high-rise housing, the finishing works are executed in accompaniment with many other activities that are progressed repeatedly and spontaneously on each floor. It was reported that the duration of finishing works differs according to the management ability of the executing company and has a significant effect on the entire project duration. We suggest a need to concentrate on important management factors by analyzing the factors affecting the productivity of finishing works based on the site characteristics in high-rise housing. There are various complex productivity-affecting factors including the technical factors involved in planning and managing the processes of finishing works. From the viewpoint of planning and management factors, the importance of productivity-affecting factors was analyzed using the Analytic Hierarchy Process (AHP). A continuous examination of the management of high-importance factors will make it possible to improve productivity by enhancing the understanding of productivity-affecting factors of finishing works and suggesting a practical management direction.

• Journal of Korean Academy of Nursing
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• v.50 no.6
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• pp.822-836
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• 2020

Purpose: This study aimed to identify latent classes of behavioral problem trajectories in children with allergic diseases and investigate their predictors. Methods: This study used data from the 5th to 7th Panel Study of Korean Children. The participants included 840 children aged 4~6 years with allergic diseases. Statistical analyses were conducted using latent class growth analysis and multinomial logistic regression. Results: The trajectories of both internalizing and externalizing behavioral problems in children with allergic diseases were classified into five groups, that is deteriorative, recovering, changing 1 (decreasing-increasing), changing 2 (increasing-decreasing), and low state persistent group. For the internalizing behavioral problems, predictors were temperament, father's education, family interaction, and disconnection in peer interaction. For the externalizing behavioral problems, predictors child's gender, temperament, marital conflict, parenting stress, family interaction, and parenting environment. Conclusion: Deteriorative group has high-risk behavioral problems in children with allergic diseases. We suggest to provide interventions considering latent problem trajectories based on ecological environments for allergic children.

• Research in Community and Public Health Nursing
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• v.33 no.1
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• pp.74-83
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• 2022

Purpose: The purpose of this study was to identify latent classes of health-related quality of life trajectories in middle-aged women and investigate predictors for latent classes. Methods: This study utilized data from the 2^nd, the 4^th to the 7^th Korean Longitudinal Survey of Women & Families. The subjects included 1,351 women aged 40~45 years. The data was analyzed using latent class growth analysis and logistic regression. Results: Two trajectories were identified for health-related quality of life in middle-aged women; 'persistently good' and 'increasing' groups. Predictors for the 'increasing' group were lower economic status, higher depression, and lower perceived health status. Conclusion: This study showed that characteristics of the individual, symptom status, and health perceptions were associated with health-related quality of life in middle-aged women. It is necessary to provide effective intervention for latent classes of health-related quality of life trajectories based on physical, mental, and social factors.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.185-207
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• 2022

Recently, with the development of deep learning technology, researches to apply a deep learning algorithm to analyze unstructured data such as text and images are being actively conducted. Text classification has been studied for a long time in academia and industry, and various attempts are being performed to utilize data characteristics to improve classification performance. In particular, a hierarchical relationship of labels has been utilized for hierarchical classification. However, the top-down approach mainly used for hierarchical classification has a limitation that misclassification at a higher level blocks the opportunity for correct classification at a lower level. Therefore, in this study, we propose a methodology for classifying hierarchical data using the autoencoder-based deeply supervised network that high-level classification does not block the low-level classification while considering the hierarchical relationship of labels. The proposed methodology adds a main classifier that predicts a low-level label to the autoencoder's latent variable and an auxiliary classifier that predicts a high-level label to the hidden layer of the autoencoder. As a result of experiments on 22,512 academic papers to evaluate the performance of the proposed methodology, it was confirmed that the proposed model showed superior classification accuracy and F1-score compared to the traditional supervised autoencoder and DNN model.