• Journal of Internet Computing and Services
• /
• v.10 no.3
• /
• pp.159-172
• /
• 2009

The purposes of this study were to identify factors affecting the quality of universities' e-learning contents from the perspectives of learners and to find out specific solutions for improving them. To achieve these goals, research questions were established as follows: 1) What factors were influencing the quality of universities' e-learning contents, and how were learners perceived about each factor(by its importance and satisfaction)? 2) Were there any differences on the learners' perceptions about each factor(by its importance and satisfaction)? 3) What were any specific ways to enhance the quality of universities' e-learning contents? The participants were of 543 university students who took at least one e-learning course and were living in the metropolitan areas(Seoul, Incheon, Gyeonggi). The survey questionnaire was consisted of 38 items developed through the literature review. To analyze the data collected, factor analysis and paired-sample t-test were conducted. The results were as follows: Five identified factors influencing the quality of universities' e-learning contents from the perspectives of learners were instructional strategies, learning contents, usability, evaluation/feedback, and interface design, and all identified factors were statistically significant differences among the learners' perceptions of its importance and satisfaction. The analysis results of importance-satisfaction matrix by each factor showed that 1) learning contents was the factor that current status should be at least continuously maintained, 2) usability, instructional strategies, and evaluation/feedback were the factors that learners' satisfactions still need to be increased although those importances were not relatively high, and 3) interface factor was important, while learners' satisfaction toward it was not much high so that solutions to increase the satisfaction need to be immediately considered. Based on the results, several suggestions to enhance universities' e-learning contents from the learners' perspectives were also recommended.

• Journal of the Korea Convergence Society
• /
• v.9 no.9
• /
• pp.431-440
• /
• 2018

In this study, authors predicted probability of resignation of newly employed nurses using TensorFlow, an open source software library for numerical computation and machine learning developed by Google, and suggested strategic human resources management plan. Data of 1,018 nurses who resigned between 2010 and 2017 in single university hospital were collected. After the order of data were randomly shuffled, 80% of total data were used for machine leaning and the remaining data were used for testing purpose. We utilized multiple neural network with one input layer, one output layer and 3 hidden layers. The machine-learning algorithm correctly predicted for 88.7% of resignation of nursing staff with in one year of employment and 79.8% of that within 3 years of employment. Most of resigned nurses were in their late 20s and 30s. Leading causes of resignation were marriage, childbirth, childcare and personal affairs. However, the most common cause of resignation of nursing staff with in one year of employment were maladaptation to the work and problems in interpersonal relationship.

• Korean Journal of Construction Engineering and Management
• /
• v.12 no.3
• /
• pp.73-82
• /
• 2011

The term 'green' has become an important way of survival for the construction industry in 21th century in accordance with the emergence of the environmental crisis due to the climatic change. Especially the policy of carbon taxation, planed to be introduced from 2012, is expected to be a considerable burden to the construction industry which has abundant carbon emission during the resource transportation due to the complexity of resources and local distribution of the construction sites. In this regard, this study shows an optimizing strategy for delivery frequency, which downsizes the net distribution costs based on the assumption that, despite of its other advantagements, the frequent small lot mode of JIT delivery would take negative effects due to the increase of costs of transportation and carbon emission once the carbon taxation policy carried out. To simulate the efficiency of the management strategies, the System Dynamics modeling has been used. The results show that the frequent small lot transportation strategy is now always efficient method to these changes, and that the frequency of transportation should be re-determinated according to the extent of the imposition of carbon tax. This study provides the conceptual frame for an efficient management of transportation system of the construction industry, showing necessity of change of the resource transportation systems through analysing JIT deliver system in accordance with the global changes in environmental economy.

• The Journal of the Korea Contents Association
• /
• v.12 no.2
• /
• pp.358-368
• /
• 2012

The purpose of this study was to discover the factors affecting on physical activity levels of community-dwelling older adults in Korea. The data was analyzed on 12,322 older adults, aged 65 or above, from the 2008 National Elderly Survey. The results of this study were as follows: First, 29.9% of older men and 46.4% of older women were classified as physically inactivity. Second, age(OR=1.44, p<.001), education(OR=1.17, p=.026), location of residence(OR=1.19, p=.016), perceived health status(OR=2.18, p<.001), chronic disease(OR=1.23, p=.020), pain(OR=1.24, p=.011), ADL(OR=1.86, p<.001), fear of fall(OR=1.26, p=.003), depression(OR=1.78, p<.001) predicted physical activity levels in older men. Age(OR=1.54, p<.001), perceived health status(OR=1.63, p<.001), pain(OR=1.45, p<.001), falling experience(OR=1.24, p=.001), ADL(OR=1.72, p<.001), depression(OR=1.46, p<.001) predicted physical activity levels in older women. It is suggested that the findings of this study are helpful to develop effective physical activity interventions for older adults.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.2
• /
• pp.218-224
• /
• 2012

Recently, as the needs of developing the micro autonomous underwater vehicle (AUV) are increasing, the acquisition of the elementary technology is urgent. While they mostly utilizes information of the forward looking sonar (FLS) in conventional studies of the local path control as an elementary technology, it is desirable to use the obstacle avoidance sonar (OAS) because the size of the FLS is not suitable for the micro AUV. In brief, the local path control system based on the OAS for the micro AUV operates with the following problems: the OAS offers low bearing resolution and local range information, it requires the system that has reduced power consumption to extend the mission execution time, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent local path control algorithm based on the beam modeling of OAS with the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance and analyze the characteristic of the proposed algorithm, the course control of the underwater flight vehicle (UFV) is performed in the horizontal plane. Simulation results show that the feasibility of real application and the necessity of additional work in the proposed algorithm.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.38 no.1
• /
• pp.84-97
• /
• 2010

Landscape urbanism emerges as an alternative to the urban design theories of the past century, emphasizing landscape as an organizing principle, integrating the medium of different elements of the urban environment. However, ongoing criticism of the theory's lack of consideration for physical urban morphology has not supported the integrity of the theory. Large parks, which many proponents of the theory have referred to, possess valuable and interesting points in their design and management. This also shows the limitation of not being able to show the close physical relationship between open space and the city. In this study, the High Line project was analyzed to verify it as founded on landscape urbanism, providing that landscape urbanism drives the urban morphology on a small scale rather than a large one. This paper concludes that landscape urbanism should include small parks as one kind of study model with the small grained interaction between open spaces and the cities under this category to broaden and deepen the perspective. Also, the effort to analyze quantified and physical consequences of the theory through close observation should be followed to extract the design strategies to be applied to future projects.

• Korean Chemical Engineering Research
• /
• v.50 no.3
• /
• pp.471-478
• /
• 2012

A carbon capture and storage (CCS) plays a very important role to reduce $CO_2$ dramatically in $CO_2$ emission sources which are distributed throughout various areas. Numerous research works have been undertaken to analyze the techno-economic feasibility of planning the CCS infrastructure. However, uncertainties such as $CO_2$ emissions, $CO_2$ reduction costs, and carbon taxes may exist in various impact factors of the CCS infrastructure. However, few research works have adopted these uncertainties in designing the CCS infrastructure. In this study, a two-stage stochastic programming model is developed for planning the CCS infrastructure under uncertain operating costs and carbon taxes. It can help determine where and how much $CO_2$ to capture, store or transport for the purpose of minimizing the total annual $CO_2$ reduction cost in handling the uncertainties while meeting the $CO_2$ mitigation target. The capability of the proposed model to provide correct decisions despite changing the operating costs and carbon taxes is tested by applying it to a real case study based on Korea. The results will help to determine planning of a CCS infrastructure under uncertain environments.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.5
• /
• pp.260-268
• /
• 2016

The objective of this study was to investigate the relationship among the variables and effects of depression and physical activity on fatigue in the elderly with chronic disease. A descriptive research design was employed in this study. In total, 500 elderly patients diagnosed with chronic disease were selected from 3 medical centers for the study. The measurements were used to examine their general characteristics, fatigue, depression, and physical activity. To analyze the data, statistical analyses, including ANOVA, t-test, Scheffe's test, Pearson's correlation coefficient, and hierarchical regression analysis, were conducted for the analysis of the data. The results indicated that the age, gender, and educational level in the first step model explained 6% of the effect on fatigue among the elderly with chronic disease. In addition, depression and physical activity in the second step model explained 16% of the effect on fatigue. These findings demonstrate the significance of (considering) depression and physical activity related to care plans when developing health-programs for decreasing fatigue and planning intervention strategies.

• 재활복지
• /
• v.17 no.4
• /
• pp.197-219
• /
• 2013

The aim of this study was to examine self-efficacy and work ethic on the moderating effect of retraining program for personal assistants to influence job environments and job satisfaction. The data were obtained from 330 personal assistants working at the Personal Assistance Association of Gyeonggi-do. The data were analyzed using the Structural Equation Modeling with relative effect analysis. The result of this study showed that self-efficacy and work ethics should have an impact job environments and job environments should have a positive impact job satisfaction. The retraining program for personal assistants showed a moderating effect on the relationship between work ethics and job environments. However, the findings did not support the moderator effect on the retraining program for personal assistants in the relationship between self-efficacy and job environments. Using these findings, social work administration agency, in particular, can be guided in terms of human resource management under social work administration.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.5
• /
• pp.475-481
• /
• 2021

This study was conducted to find out the degree of self-esteem, resilience, and subjective happiness of nursing college students and to establish strategies to improve their subjective happiness. The study subjects included 204 nursing students, and data was analyzed by frequency, percentage, t-test, and ANOVA analysis to determine self-esteem, resilience, and subjective happiness according to general characteristics. Pearson's correlation was used for correlation. Factors affecting subjective happiness were analyzed by multiple regression. Study results found that self-esteem and resilience had an effect on grade level and department satisfaction, and subjective happiness had an effect on department satisfaction. In addition, self-esteem was found to be correlated with resilience and subjective happiness, and resilience was found to be correlated with subjective happiness. As a result of multivariate regression analysis, grade and subject satisfaction were found to be important factors affecting the subjective happiness of nursing students. In conclusion, it is necessary to develop programs for each grade for the subjective happiness of nursing students, and it is necessary to make efforts to establish and apply strategies and plans for satisfaction with the department.