• Journal of Energy Engineering
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• v.24 no.4
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• pp.183-191
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• 2015

Studies on the environment-friendly and permanent low energy saving measure are and will continue to be an eternal challenge. However, the demand is high for the technologies that can save energy significantly in everyday life that produce tangible benefits for the users by applying saving factors and that anyone can access easily when it comes the related procedure. Government policies related to the improvement of energy effect in the existing building structure are characterized by complex procedure. Moreover, cost required and reliability issue emerge when request is made to an expert. Accordingly, this study seeks to present energy improvement plan that can be utilized simply and conveniently at any place, any time by enabling customized design according to individual taste by enabling energy change amount and grade prediction when the users select only the part that they want to replace by using a simple program.

• 한국노년학
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• v.38 no.2
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• pp.351-364
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• 2018

The purpose of this study is to learn about the decision factors affecting utilization of elderly welfare center of the elderly living in Gimpo city. The reason of the study is that the elderly welfare center as a provider of general welfare services could not only thinking about the state policy but also need to consider about the inherent role and function of the elderly. Especially for these elders living in rural areas, although the number of elderly welfare centers of the whole country has greatly increased in last 10 years, the effect and function of the facility are almost the same and they are still lack of leisure activities. This issue become a serious problem nowadays. For the above reasons, this article conducts a social survey of 360 elderly people over the age of 65 who lives in the Gimpo city which is a rural-urban type city. The research method is to examine the relationship between the predisposing factors, enabling factors and need factors of Andersen's behavior model with binary logistic regression analysis and the decision tree analysis. The result of binary logistic regression shows the most of factors of Andersen's model is significant. The factors of age, gender, education level in predisposing factors; monthly income in enabling factors and the reserve for old life, the preparation of economic activity for old life in need factors are significant. Then the result of decision tree analysis shows the interaction between factors; when the education level in predisposing factors is higher, the possibility of using of elderly welfare center becomes bigger. Also as the level of healthy promoting preparation in the need factors gets lower, the possibility of using of elderly welfare center still becomes bigger. Although differences were found in the interpretation of the results of regression analysis and decision tree analysis, the results of this study can still provide support for the necessity of elderly welfare centers providing integrated welfare services.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.249-263
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• 2023

Collaborative Filtering, a representative recommendation system methodology, consists of two approaches: neighbor methods and latent factor models. Among these, the latent factor model using matrix factorization decomposes the user-item interaction matrix into two lower-dimensional rectangular matrices, predicting the item's rating through the product of these matrices. Due to the factor vectors inferred from rating patterns capturing user and item characteristics, this method is superior in scalability, accuracy, and flexibility compared to neighbor-based methods. However, it has a fundamental drawback: the need to reflect the diversity of preferences of different individuals for items with no ratings. This limitation leads to repetitive and inaccurate recommendations. The Adaptive Deep Latent Factor Model (ADLFM) was developed to address this issue. This model adaptively learns the preferences for each item by using the item description, which provides a detailed summary and explanation of the item. ADLFM takes in item description as input, calculates latent vectors of the user and item, and presents a method that can reflect personal diversity using an attention score. However, due to the requirement of a dataset that includes item descriptions, the domain that can apply ADLFM is limited, resulting in generalization limitations. This study proposes a Generalized Adaptive Deep Latent Factor Recommendation Model, G-ADLFRM, to improve the limitations of ADLFM. Firstly, we use item ID, commonly used in recommendation systems, as input instead of the item description. Additionally, we apply improved deep learning model structures such as Self-Attention, Multi-head Attention, and Multi-Conv1D. We conducted experiments on various datasets with input and model structure changes. The results showed that when only the input was changed, MAE increased slightly compared to ADLFM due to accompanying information loss, resulting in decreased recommendation performance. However, the average learning speed per epoch significantly improved as the amount of information to be processed decreased. When both the input and the model structure were changed, the best-performing Multi-Conv1d structure showed similar performance to ADLFM, sufficiently counteracting the information loss caused by the input change. We conclude that G-ADLFRM is a new, lightweight, and generalizable model that maintains the performance of the existing ADLFM while enabling fast learning and inference.

• Radiation Oncology Journal
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• v.11 no.2
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• pp.219-225
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• 1993

The evaluation of radiation-induced DNA double strand breaks (DSB) was made following irradiation of human lymphocytes, murine lymphocytes and EL-4 leukemia cells over a wide dose range of $^{60}Co\;{gamma}-rays.$ In lipopolysaccharide (LPS) or phytohemagglutinin (PHA)-stimulated murine lymphocytes, the slopes of the stand scission factor (SSF) revealed that lymphocytes with LPS increased DNA DSB formation by a factor of 1.432 (p<0.005). Furthermore, strand break production was relatively inefficient in the T lymphocytes compared to the B lymuhocytes. And EL-4 leukemia cells were found to form significantly more DNA DSB to a greater extent than normal lymphocytes (p<0.005). The in vitro studies of the intrinsic radiosensitivity between human lymphocytes and murine lymphocytes showed similar phasic kinetics. However, murine lymphocytes were lower in DNA DSB formation and higher in the relative radiation dose of 10 percent DNA strand breaks at 3.5 hours following ${gamma}-irradiation$ than human lymphocytes. Though it is difficult to interpret these results, these differences may be result from environmental and genetic factors. From our data, if complementary explanations for this difference will be proposed, the differences in the dose-effect relationship for the induction of DSB between humans and mice must be related to interspecies variations in the physiological condition of the peripheral blood in vitro and not to differences in the intrinsic radiation sensitivity of the lymphocytes. These results can be estimated on the basis of dose-effect correlation enabling the interpretation of clinical response and the radiobiological parameters of cytometrical assessment.

• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.190-198
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• 2008

Recently construction equipments have been used in line with building the structures that have become taller, larger and complex. And as the works at the elevated level for apartment and residential-commercial building projects have been on the rise, the number of tower cranes mobilized tends to be increased too. Due to such an increase in using the equipment serves the critical factor for the project management. The climbing-type tower crane, which increases its height following the structure, has been increased and the need for selecting the optimal model has been increasingly Important in securing the stability. The study hereby proposes the model to evaluate the stability of the climbing-type tower crane. The model was designed to assist in selecting the type of crane as well as in developing the design of Collar comprising the 3 types of support member, evaluating the stability and designing the embed. The model proposed is expected to make commitment in selecting the optimal type of equipment and evaluating the support member and embed for enhancing the stability, thereby ultimately enabling to implement the prefect in efficient way.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.39-52
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• 2006

This study divided the large-scale traffic accident locations into its own characteristics by using Cluster Analysis. Also, Quantification II and Classification and Regression Tree methods were used enabling evaluation for the amount of affecting influence by the crash type. After these analyses, we tested the fitness of the results and suggested the simplification of the quantification index. With the results from the discussed procedure, obvious differences were observed by groups according to the characteristics of crash type from the Discrimination and Classification analysis of divided four groups. Thus, measures and supplementary measures for the traffic accidents could be suggested in groups systematically. However, a lot of missing values in variables caused a huge loss of data and made this study difficult for more detailed analysis, With this difficulty. recording mandatory log files with a standardized format is also recommended to Prevent this Problem in advance.

• Journal of Korean Academy of Nursing
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• v.23 no.4
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• pp.617-630
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• 1993

Factors related to health promotion activities and quality of life in Korean women with arthritis have not been clearly identified. Predictors of health promotion might be identified that will enhance the well - being of this group. Accordingly, the findings of the study will contribute additional information about the relationship between health promotion and quality of life and will add to the research on quality of life of individuals with a leading cause of disability--arthritis. The purpose of the study was to examine the relationship of selected background factors (years of illness, perceived severity of illness, uncertainty in illness), perceived self- efficacy, and health promoting behaviors to the quality of life of Korean women with arthritis. A cross - sectional descriptive design was used in this study to investigate relationships among the variables of interest. The sample was composed of 96 women who had arhtrits and visited large university hospital in Seoul for regular check up or pre-scription of medication. The purpose of a descriptive correlational design was to determine the absence or presence of relationships among variables that were measurable (Polit & Hungler, 1981, p.147). The design of this study was appropriate because it yielded answers to the research questions and hypotheses regarding the relationships among the model variables. the Questionnaire contained demographic information, translated Mishel Uncertainty in illness Scale-Community form (MUIS-C) (Mishel, 1987), translated and modified Disease Course Graphic Scale(DCGS) which was developed by Braden (1990), translated Sherer. et al.’s General Self-Efficacy Scale (1982), The Health -Promoting Lifestyle Profile (HPLP), developed by Walker, Sechrist, and Fender (1987) and traslated to Korean by Ha, and quality of life was measured by Face Scale (Andrew, 1976). Several steps of verification for the translation process were carefully conducted. Data analysis included descriptive correlational statistics and multiple regression techniques. Health promotion was the only contributor to pre-dict quality of life. Results showed that enabling cognitive perceptual factor (self-efficacy) mediates the disruptive force (uncertainty in ill-ness) on achieving a health promoting self- help behavior. The findings of this study also indicated that illness - related variable of severity of illness was mediated by health promotion, which buffered it's impact on quality of life.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3579-3586
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• 2015

Geographic information system (GIS) technology has useful applications for epidemiology, enabling the detection of spatial patterns of disease dispersion and locating geographic areas at increased risk. In this study, we applied GIS technology to characterize the spatial pattern of mortality due to liver cancer in the autonomous region of Guangxi Zhuang in southwest China. A database with liver cancer mortality data for 1971-1973, 1990-1992, and 2004-2005, including geographic locations and climate conditions, was constructed, and the appropriate associations were investigated. It was found that the regions with the highest mortality rates were central Guangxi with Guigang City at the center, and southwest Guangxi centered in Fusui County. Regions with the lowest mortality rates were eastern Guangxi with Pingnan County at the center, and northern Guangxi centered in Sanjiang and Rongshui counties. Regarding climate conditions, in the 1990s the mortality rate of liver cancer positively correlated with average temperature and average minimum temperature, and negatively correlated with average precipitation. In 2004 through 2005, mortality due to liver cancer positively correlated with the average minimum temperature. Regions of high mortality had lower average humidity and higher average barometric pressure than did regions of low mortality. Our results provide information to benefit development of a regional liver cancer prevention program in Guangxi, and provide important information and a reference for exploring causes of liver cancer.

• Journal of Korean Academy of Nursing
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• v.46 no.2
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• pp.305-314
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• 2016

Purpose: The purpose of this study was to determine quality of life (QOL) related factors in Alcoholics Anonymous (AA) members based on PRECEDE Model. Methods: A cross sectional survey was conducted with participants (N=203) from AA meeting in 11 alcohol counsel centers all over South Korea. Data were collected using a specially designed questionnaire based on the PRECEDE model and including QOL, epidemiological factors (including depression and perceived health status), behavioral factors (continuous abstinence and physical health status and practice), predisposing factors (abstinence self-efficacy and self-esteem), reinforcing factors (social capital and family functioning), and enabling factors. Data were analyzed using t-test, one way ANOVA, Tukey HSD test and hierarchical multiple regression analysis with SPSS (ver. 21.0). Results: Of the educational diagnostic variables, self-esteem (${\beta}=.23$), family functioning (${\beta}=.12$), abstinence self-efficacy (${\beta}=.12$) and social capital (${\beta}=.11$) were strong influential factors in AA members' QOL. In addition, epidemiological diagnostic variables such as depression (${\beta}=-.44$) and perceived health status (${\beta}=.35$) were the main factors in QOL. Also, physical health status and practice (${\beta}=.106$), one of behavioral diagnostic variables was a beneficial factor in QOL. Hierarchical multiple regression analysis showed the determinant variables accounted for 44.0% of the variation in QOL (F=25.76, p<.001). Conclusion: The finding of the study can be used as a framework for planning interventions in order to promote the quality of life of AA members. It is necessary to develop nursing intervention strategies for strengthening educational and epidemiological diagnostic variables in order to improve AA members' QOL.

• Korean Institute of Interior Design Journal
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• v.19 no.3
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• pp.214-223
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• 2010

Information & Communication Technology(ICT), called ubiquitous computing, changes our environment in many ways. It also acts on educational environment in concert with new pedagogy. Korean Government gives an efforts to set up the u-School as the educational environment supported by ICT. This study aims to find efficient uses of ICT to cope with the changing education environment and emerging needs of users. The survey research follows the pilot study on the model of future school. The students and teachers in six schools located in Busan answered the questionnaire and 752 individuals were analyzed by the statistical method including frequencies, crosstabs, ANOVA, and factor analysis. The conclusions are as follows: (1) Highly demanded were the u-School facilities to provide pleasant environment as the teachers and students have to spend most of time in classroom, or school premises. In addition, the infrastructures were so desperately required that students are able to control their textbooks and belongings, and efficiently utilize a variety of data. (2) The classroom volume should be planned a bit smaller than the current number of students so that teachers are relieved from the burden of too many student. The needs of students to interact with more students can be bolstered by utilization of ICT. (3) The respondents feel the high needs of computer for student, electronic blackboard, electronic lecture desk, microphone and computer for teacher as the teaching and learning facilities. This showed high needs for teaching and learning facilities enabling the active and individual learning through the use of ICT at education environment. In conclusion, the study proposes the fundamental data to combine u-School elements proper to the current learning and school environment, from the analysis on the use of school facilities, with the subjects, the users of education environment.