• Geotechnical Engineering
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• v.13 no.1
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• pp.75-84
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• 1997

This paper presents a bearing capacity determination method for spread footings subjected to vertical central loading and located above underground cavities. For the development of the method, a parametric study on bearing capacity of a spread footing located above an underground cavity was performed by using a threetimensional elasto-plastic finite element computer program. From the results of the finite element analysis, bearing capacity values for the conditions analyzed were determined and used as a data base from which semiempirical equation to for the bearing capacity determination method were formulated by means of a regression analysis. The effectiveness of this method was illustrated by comparing the bearing capacity values computed from this method with those of available model footing tests as well as finite element analysis data. It was concluded that the method presented in this paper can be effectively used for practical applications at least within the conditions investigated.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.246-247
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• 2018

Since the routes within VTS areas include harbour limit of major ports, there are sections where the traffic volume increases and the routes are normally narrow according to the geographical conditions. In the case of ports and VTS areas located on the west coast of Korea, it is affected by strong current due to large tidal differences. In this paper, we propose a method to produce useful information according to the change of navigation environment by analyzing the characteristics of ship's movement according to tidal stream or current. The SVR seaway model, support vector regression, and grid search were conducted in order to extract models.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.326-336
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• 2017

This study investigates the relevance of stress, self factor and emotional factor, and the influence on Smartphone Addiction Level among college students. The survey was administered to 261 college students in J city from December 16th to 23rd, 2016. The structured self-administered questionaries were used. The multiple linear regression analysis revealed that the factors with explanatory powers of 52% on Smartphone Addiction Level included physical activity changes, sleep disorders, the self control about self factors, the impulsion of emotional factors. With the analysis of covariance structure, we could confirm the relationship among the four factors such as stress, self factor, emotional factor and Smartphone Addiction Level. The results of the study indicate that the efforts to manage stress, self factors and emotional factors, are required to reduce the Smartphone Addiction Level of the college students. The results are expected to be useful for the development of programs and policy to decrease the Smartphone Addiction Level. In the following study, structural equation modeling about additional factors, which influences on Smartphone Addiction Level, will be needed.

• Korean Journal of Remote Sensing
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• v.14 no.4
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• pp.343-352
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• 1998

Spectral reflectance data of upland crops at OSMI bands were collected and evaluated for the feasibility of crop discrimination knowledge-based on crop calendar. Effective bands and their ratio values for discriminating corn from two other legumes were defined with OSMI equivalent bands and their ratio values. For corn discrimination from two other legumes, peanut and soybean, June 22 among measurements dates was the best since all OSMI equivalent bands and their ratio values in June 22 were highly significant for corn separability. Phenological growth stage of a silage corn (rs510) could be estimated as a function of spectral reflectance in vegetative stage. Five growth stage prediction models were generated by the SAS procedures REG and STEPWISE with OSMI equivalent bands and their ratio values in vegetative stage.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.88-97
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• 2019

This study was conducted to identify factors affecting patient safety management (PSM) of nursing student's who have experienced clinical practice. The study subjects were 232 nursing students in five universities in five cities. Data were collected between June 17 and July 30, 2019 using by completing structured self report questionnaires. Data were analyzed using T-test, ANOV A, Pearson's correlation coefficient, and multiple regression using SPSS/WIN 22.0. In correlation ana lysis, significant positive correlations were found between PSM practice, PSM importance awareness (r= .42, p<.001), PSM knowledge(r= .29, p<.001), and PSM attitude(r= .35, p<.001). In multiple regressi on analysis, PSM importance awareness(β=.19, p<.001) was factor predicting PSM practice of nursing students, which explained 36.2% of the variance in the model. Thus, we emphasize that continuing PSM education at the university is required to improve PSM competency.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.4
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• pp.33-42
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• 2019

In this study, the channel and floodplain widths are indirectly measured for three different watersheds using satellite images to reflect the shape of Korean channels in the Soil and Water Assessment Tool (SWAT) model. For measuring the channel and floodplain widths, multiple satellite images were referred to ensure the widest width of certain points. In the single channel, the widths at the multiple points were measured. Based on the measured data, the regression equations were derived to estimate the channel and floodplain widths according to watershed areas. Applying these developed equations, this study evaluated the effect of the change of channel and floodplain widths on the SWAT simulation by comparing to the measured streamflow data. The developed equations estimated larger channel width and smaller floodplain compared with those calculated in the current SWAT model. As shown in the results, there was no considerable changes in the predicted streamflow using the current and developed equations. However, the flow velocity and channel depth calculated from the developed equations were smaller than those of the current equations. The differences were caused by the effect of different channel geometries used for calculating the hydraulic characteristics. The channel geometries also affected the water quality simulation in channels because the hydraulic characteristics calculated by the channel geometries are directly related to the water quality simulation. Therefore, application of the river cross-sectional regression equation reflecting the domestic stream shape is necessary for accurate water quantity / quality and water ecosystem simulation using hydrological model.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.383-392
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• 2018

This study investigates convergent factors to TOEIC learning flow among some health college students in TOEIC class. The questionnaire was performed on 255 health college students in TOEIC class from college located in J area from May 1st, 2018 to May. 25th, 2018 by using an unregistered self-administered questionnaire. The hierarchical multiple regression analysis shows the following results. The TOEIC learning flow of respondents turned out to be significantly higher in following groups: a group in which self efficacy is higher, a group in which academic control is higher, a group in which school resilience is higher. The results show explanatory power of 43.4%. As the results of the study, it is necessary to make an effort to increase self efficacy, academic control and school resilience to improve the TOEIC learning flow among health college students. These results can be used in development and operation of TOEIC learning program to higher TOEIC learning flow in health college students. Further studies need the analysis of structural equation model effecting TOEIC learning flow of health college students.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.185-192
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• 2021

The purpose of this study is to investigate the relationship between emotional intelligence and convergence factors of hospital administrative staff. During the survey period from From May 1st to May 31st, 2019, anonymous self-administered responses to 212 administrative staffs of 19 hospitals randomly selected in J area were used as analysis data. According to hierarchical multiple regression analysis, the higher the ego-resiliency, the higher the organizational loyalty, and the higher the organizational commitment, the higher the emotional intelligence, and their explanatory power was 43.0%. Based on these analysis results, efforts are needed to increase ego-resiliency, increase organizational loyalty, and increase organizational commitment in order to increase the emotional intelligence of hospital administrative jobs. The above results are expected to be applied to industrial health education and job management in the future at hospitals to enhance emotional intelligence of hospital administrative staffs. Future research requires the establishment and analysis of a structural equation model that affects the emotional intelligence of hospital administrative staffs.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.58-66
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• 2020

The purpose of this study was to investigate levels of perception of good death and hospice, and attitude of dying care, to examine relationships among them, and then to investigate predictors affecting of attitude of dying care in nursing students. The participants were 229 nursing students in D city who were surveyed in May to June 2019 using self-report questionnaires. Perception of good death and hospice, and attitude of dying care were related positively among variables. In the multiple regression analysis, perception of good death, and perception of hospice were influential factors significantly associated with the attitude of dying care. Those factors explained 39.3% of the attitude of dying care in nursing students. The most important factor was perception of hospice. In order to encourage and improve positive perception of death and attitude of dying care in nursing students, nursing educators should consider building up and reinforcing the curriculum of nursing college.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.343-351
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• 2021

The purpose of this study was to identify the nursing students' COVID-19 vaccination intention based on health belief model. A total of 169 nursing students who were freshman to senior grade from one college participated in this study. An online self-administered questionnaire was used for data collection from April 5 to 16, 2021 and data were analyzed using the SPSS/Window 21.0 program. Multiple regression analysis conducted to verify the factors on COVID-19 vaccination intention. The significant influential factors for COVID-19 vaccination intention were self-efficacy(β=.345, p<.001), cues to action(β=.307, p<.001), perceived benefits(β =.143, p= .034), and knowledge(β=.116, p=.042). The model explained 50.8% of the variance in the COVID-19 vaccination intention. This result points to the importance of fostering nursing student's self-efficacy, cues to action, perceived benefits, and knowledge to promote COVID-19 vaccination uptake.