• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.191-192
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• 2019

The construction industry is in the process of changing from the existing labor-intensive production system to a construction automation system using advanced information and communication technologies. Accordingly, in order to identify key research areas and utilization technologies in the field of construction automation, this study collected the latest 17 years (2000-2016) of papers published in International Symposium on Automation and Robotics in Construction (ISARC) and conducted a correlation analysis between the construction management areas and automation technologies based on the keyword frequency. As a result, the BIM, WSN, and Augmented reality were extracted as the technology keywords with high correlation with various areas of construction management.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.9
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• pp.1276-1282
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• 2013

This paper presents a demosaicking method based on high-order interpolation with parameters. Demosaicking is an essential process in capturing color images through a single sensor-array. Thus, a lot of methods including the Hamilton-Adams(HA) method has been studied in this literature. However, the image quality depends on various factors such as contrast and correlation in color space; existing algorithms depend on test images in use. Consequently, a new test image set was suggested to develop demosaicking algorithms properly. According to previous studies, the HA method shows high performances with the new test data set. In this paper, we improve the HA method using high-order interpolation with parameters. Also, we provide an analysis and formulations for the proposed method. To evaluate our method, we compare our method with the existing methods both objectively and subjectively. The experimental results indicate that the proposed method is superior to the existing methods.

• The Korean Journal of Community Living Science
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• v.16 no.2
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• pp.75-91
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• 2005

The purpose of this study was to examine the relationship between parenting stress, social support and the social development of preschool children in rural areas. The subject included 114 preschool children, along with their mothers, selected from kindergartens and day care centers in rural areas. The instruments included the parenting stress index, social support inventory and the social maturity scale. The statistics used from this data were t-test, one-way ANOYA(Scheffe test), correlation analysis and multiple regression analysis. This study showed that maternal parenting stress was influenced significantly by the related variables; gender of child, birth order of child, age of mother, educational attainment of mother, family income, religion, family type. And also, social support was influenced significantly by the above variables. The child's social development was influenced significantly by the variables that related child and the family. Correlation analysis indicated that parenting stress and social development of the child were relatively negative high correlation coefficients. And social support and social development of the child were relatively positive high correlation coefficients. The important factors on predicting social development of the child were found to be birth order of child, age of mother, educational attainment of mother, family income, religion, family type, daily stress, stress of difficult child, stress of parent-child dysfunctional interaction, educational distress, husband support, and other support. Especially stress of difficult child and husband support were important variables that predicted the social development of the preschool children.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.127-135
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• 2015

In recent years, meteorological disasters have frequently occurred in rural areas. As a result, there have been growing concerns over the protective measures needed. In order to avoid natural risks and damage, and to strengthen countermeasure to meteorological disasters, local governments needs to be prepared. Therefore, this paper seeks to prevent meteorological disasters through mapping of inundation vulnerability in agricultural land, Chungcheongnam-do. In doing so, this study were considered 5 variables (i.e. precipitation, region of altitude below 50m, region of slope gradient is below 10 degree, distance from river within less 50m) for creating vulnerability map. The precipitation was excluded in five variables. Since, the precipitation which include Daily maximum precipitation, 2-Daily maximum precipitation, summer precipitation was not any correlation among them. The results of analysing four variables, exclusive of precipitation, were showed that the agricultural lands where located in Dangjin, Buyeo, Hongseong and Asan were low correlation of inundation vulnerability by overlapping analysis. Moreover, The correlation analysis was showed low correlation between each factors and the annual average area of agricultural lands' inundation, whereas, the correlation analysis which was overlapping each factor showed high correlation. In conclusion, in order to create reliable vulnerability map in agricultural lands, Chungcheongnam-do, it must be considered to overlap analysis of the four main factors such region of altitude below 50m, region of slope gradient is below 10 degree, distance from river within less 50m. We suppose that this study's analysis can help to set the preparedness site of agricultural lands inundation.

• Human Ecology Research
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• v.58 no.2
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• pp.187-200
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• 2020

This study analyzes the teacher certification examination from 2014 to 2019. The research methods are summarized as follows. First, the questionnaire on tests conducted from 2014 to 2019 was divided into 'Teacher Eligibility Criteria', 'Assessment Area', and 'Evaluation Content Elements' for detailed analysis. Second, the examination for the 2019 school year from the 2014 school year compared the 2009 curriculum with the yearly question items in order to examine the correlation between the secondary school curriculum and test items. Third, this study examined the home economics department reflected in the curriculum of the five national universities. The results of the study are summarized as follows. First, according to the results of the questionnaire survey conducted from 2014 to 2019, the field of Home Economics education showed the highest rate of 25% or more in all years. Second, in order to examine the correlation between secondary school curriculum and Home Economics test items, this study compared the results of the 2014 - 2019 school year examination with the 2009 curriculum. Third, as a result of analyzing the curriculum of the five universities of the National College of Education, the basic courses were properly established at all colleges of education. As a result, the correlation was high overall, even within subcategories, the rate of exams was high only incertain attendants and the frequency of exams was low at some attendants.

• Journal of the Korea Institute of Building Construction
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• v.9 no.2
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• pp.93-101
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• 2009

Recently, public interest in housing defects, such as construction errors, occupiers' complaints, faults in production, and so on, is increasing. In addition, the construction requirements of high-rise residential buildings have increased, due to the higher prices of urban areas, especially in metropolitan areas. While previous research has focused on the defects occurring in apartment housing complexes, research has not been carried out on the defects occurring in high-rise residential buildings. In this paper, the defects patterns and characteristics of high-rise residential buildings are examined and analyzed and a defect management plan is then suggested. In order to do this, we collected the defects data of high-rise residential buildings recorded by 2,299 of 2,327 occupants. The defect occurrence rate (DOR) in the residential area is 98.8%. The frequency rate of defect occurrence over the total defect occurrence since building completion is 63.28% during the first year, 24.63% (second year), 6.88% (third year), 2.27% (fourth year), and 2.53% (fifth year). The result of correlation analysis between work types showed that there is a relationship between the built-in furniture and electronics (F&E) and painting works, and the F&E and masonry works, such as marble finishing. We expect that this research will assist in the efforts to decrease the number of defects in high-rise buildings.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.95-102
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• 2019

Public transportation systems play key roles in supporting dynamic activities and interaction between urban places. Especially, high efficient public transportation systems are required in order to support large traffic demands in urban areas. In this paper, we define a new metric, structural activation level (SAL), to replace the conventional transportation share ratio (TSR) measuring efficiency of public transportation systems. First of all, we access the Korea Transport Database (KTDB) and download origin-destination data by transport types to construct traffic networks with respect to transport types for each city. Then, we calculate the QAP (Quadratic Assignment Procedure) correlation between each traffic network and the total traffic network for each city to investigate SAL by comparing cities one another. The results of our investigation reveal inconsistency between TSR and SAL. In Daegu, TSR of public transportation systems is relatively low while SAL is high. In Deajeon, however, SAL is low while TSR is high. Therefore, we suggest to take into consideration SAL as well as TSR in order to investigate the degree of activation of public transportation.

• The Journal of Korean Society for School & Community Health Education
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• v.12 no.2
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• pp.43-67
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• 2011

Objectives: The purpose of this study was to analyze factors affecting school life adjustment of athletes in middle and high school. Methods: The data in this study came from the survey which conducted to 500 students of physical education high school athletes and elite athletes in general school from the beginning of December 2009 to the end of January 2010 in Seoul and Kyunggi. Finally 436 cases was used. The dependant variable in this study was school life adjustment. And the independent variables were socio-demographic factors, stress and depression factors, social support factors. The analysis methods were T-test, ANOVA, correlation analysis, stepwise multiple regression analysis by using SPSS Ver. 12.0. Results: First, there was a statistically significant result between school life adaptation and sex, family circumstances, life satisfaction variables Second, there was a negative correlation between social support and stress, depression. Third, there was a negative correlation between school life adjustment and some stress factors, all depression factors. Also relationship between school life adjustment and social support showed a positive correlation. Fourth, Taking a look at the impact on school life adjustment, family factors and practical environmental factors in the stress factors and the feeling of worthlessness in the depression factors appeared to influence negatively. Also teachers' support in the social support factors showed positive effects. Explanatory power of the final regression model was 25.6%. Conclusions: The first step in order to improve the school life adjustment of athletes in middle and high school is the teachers' support. Athletes in middle and high school can have capability, responsibility, initiatives through teachers' attention and affection. The effective prevention education and health education programs on stress and depression should be introduced and carried out in the health education programs actively for student athletes to be free from stress, depression.

• Korean Journal of Clinical Pharmacy
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• v.24 no.2
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• pp.144-153
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• 2014

Purpose: This study aimed to investigate the correlation between the health behaviors and the aggression in Korean high school students. Methods: This was a cross-sectional study conducted with a survey of 2,676 high school students. Aggression was measured in four categories (physical aggression, verbal aggression, anger and hostility) using the Aggression Questionnaire, a modified hostility inventory by Buss and Perry. Result: Univariate analysis showed that sex, smoking, alcohol, caffeine, pain pills and gastrointestinal drugs were significantly associated with aggression scores. Boys scored higher than girls in terms of physical and verbal aggression. With respect to the habit of self-medication, students who took pain pills in the last 30 days revealed higher scores in all four aggressive constructs. From multivariate analysis, it was found that alcohol, caffeine, smoking, pain pills, sex and gastrointestinal drugs were independently associated with total aggression score in the order of importance. Alcohol and caffeine, among these factors, had strong correlation with all aggressive characteristics. Conclusion: This study identified a consistent association between the aggression of the students and health behavioral factors, but causal relationship remains to be proven.

• Advances in aircraft and spacecraft science
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• v.9 no.4
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• pp.301-318
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• 2022

This paper presents the free vibration analysis of 3D printed sandwich beams by using high-order theories based on the Carrera Unified Formulation (CUF). In particular, the component-wise (CW) approach is adopted to achieve a high fidelity model of the printed part. The present model has been used to build an accurate database for collecting first natural frequency of the beams, then predicting Young's modulus based on an inverse problem formulation. The database is built from a set of randomly generated material properties of various values of modulus of elasticity. The inverse problem then allows finding the elastic modulus of the input parameters starting from the information on the required set of the output achieved experimentally. The natural frequencies evaluated during the experimental test acquired using a Digital Image Correlation method have been compared with the results obtained by the means of CUF-CW model. The results obtained from the free-vibration analysis of the FDM beams, performed by higher-order one-dimensional models contained in CUF, are compared with ABAQUS results both first five natural frequency and degree of freedoms. The results have shown that the proposed 1D approach can provide 3D accuracy, in terms of free vibration analysis of FDM printed sandwich beams with a significant reduction in the computational costs.