• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.5
• /
• pp.1-17
• /
• 2021

Identifying the exact train and the type of train boarded by passengers is practically cumbersome. Previous studies identified the trains boarded by each passenger by matching the Automated Fare Collection (AFC) data and the train schedule diagram. However, this approach has been shown to be inefficient as the exact train boarded by a considerable number of passengers cannot be accurately determined. In this study, we demonstrate that the AFC data - diagram matching technique could not estimate 28% of the train type selected by passengers using the Seoul Metro line no.9. To obtain more accurate results, this paper developed a two-step method for estimating the train type boarded by passengers by applying the AFC data - diagram matching method followed by a mixture distribution analysis. As a result of the analysis, we derived reasonable express train use/non-use passenger classification points based on 298 origin-destination pairs that satisfied the verification criteria of this study.

• Journal of the Korea Convergence Society
• /
• v.12 no.9
• /
• pp.307-314
• /
• 2021

This study examined to identify the effect of self-leadership, career decision-making self-efficacy, and critical thinking disposition on career preparation behavior in nursing students. Data were collected from nursing students attending in nursing departments in G and M cities from April to June 2019. The 208 data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Self-leadership(β=.331, p<.001) and critical thinking disposition(β=.302, p<.001) reported to have effect on career preparation behavior. The study model accounted for 38.7% of career preparation behavior. These results suggest that measures to promote self-leadership and career decision-making self-efficacy should be developed and operated to improve career preparation behavior of nursing students in the nursing education field.

• Journal of Korean Society of Disaster and Security
• /
• v.14 no.2
• /
• pp.35-42
• /
• 2021

In order to produce electric vehicle demand forecasting information, which is an important element of the plan to expand charging facilities for electric vehicles, a model for predicting electric vehicle demand was proposed using Exponential Smoothing. In order to establish input data for the model, the monthly power demand of cities and counties was applied as independent variables, monthly electric vehicle charging stations, monthly electric vehicle charging stations, and monthly electric vehicle registration data. To verify the accuracy of the electric vehicle power demand prediction model, we compare the results of the statistical methods Exponential Smoothing (ETS) and ARIMA models with error rates of 12% and 21%, confirming that the ETS presented in this paper is 9% more accurate as electric vehicle power demand prediction models. It is expected that it will be used in terms of operation and management from planning to install charging stations for electric vehicles using this model in the future.

• The Journal of the Korea Contents Association
• /
• v.21 no.9
• /
• pp.516-527
• /
• 2021

Due to the aging population and the entry of baby boomers into the elderly, the elderly are recognized as a group with diversity rather than a single group with the same needs. Therefore, it is necessary to try to grasp the factors that the elderly use welfare centers from the perspective of consumers. The results showed that gender, age, education, occupation, economic status, social class, number of friends, number of social activities, number of diseases, and depression were significant. In other words, women than men, older people, highly educated people, elderly people without jobs, elderly people with poor economic status, the elderly belonging to a lower social class, the more friends, the more social activities involved, the more diseases, the higher the depression, the higher the probability of using the welfare center. It was found that heterogeneous elderly groups, such as the elderly with high educational background, many friends, and active participation in society, and the elderly, economically difficult, and poor in health, use the welfare center. Based on these research results, policy and practical suggestions were made to improve the quality of welfare services for the elderly.

• Journal of Preventive Medicine and Public Health
• /
• v.54 no.5
• /
• pp.309-316
• /
• 2021

Objectives: This study examined stunting at birth and its associations with physical factors of parents and children in Indonesia. Methods: This study analyzed secondary data from the national cross-sectional Indonesian Basic Health Survey 2018, conducted across 34 provinces and 514 districts/cities. Birth length data were available for 756 newborns. Univariable, bivariable, and multivariable logistic regression analyses were performed to determine associations between the physical factors of parents and children and stunting at birth. Results: In total, 10.2% of children aged 0 months were stunted at birth (10.7% of males and 9.5% of females). Stunting at birth was associated with the mother's age at first pregnancy, parity, parents' heights, parents' ages, and gestational age. Children from mothers with short statures (height <145.0 cm) and fathers with short statures (height <161.9 cm) had an almost 6 times higher likelihood of being stunted at birth (adjusted odds ratio, 5.93; 95% confidence interval, 5.53 to 6.36). A higher maternal age at first pregnancy had a protective effect against stunting. However, other variables (firstborn child, preterm birth, and both parents' ages being <20 or >35 years) corresponded to a 2-fold higher likelihood of stunting at birth compared to the reference. Conclusions: These findings provide evidence that interventions to reduce stunting aimed at pregnant females should also consider the parents' stature, age, and parity, particularly if it is the first pregnancy and if the parents are short in stature or young. Robust programs to support pregnant females and monitor children's heights from birth will help prevent intergenerational stunting.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.2
• /
• pp.27-33
• /
• 2021

The purpose of this study was to investigate the influence of clinical nurses' sleep disorder, organizational support, and health promotion behaviors on professional quality of life. The subjects were 256 nurses working in hospitals in more than 200 and less than 300 beds hospital in B and G cities. The data were collected from September 4, 2017 to September 11, 2017. The collected data were analyzed by frequency analysis t-test, ANOVA, Scheffé test, Pearson's correlation coefficients, and multiple regression analysis using SPSS WIN 20.0. Burnout rate was 28.90± 4.00, burnout was associated with sleep disorder(r=-.321, p<.001), organizational support(r=-.321, p<.001), health promoting behavior(r=-,519 p<.001) showing a negative correlation. The factors affecting burnout were organizational support(β=-.113, p=.045), sleep disorder(β=-.129, p<.040), gender(β=-.131, p=.024), health promotion behaviors(β=-.423, p<.001) and the explanatory power was 32.2%. Based on these results, we aim to provide basic data for the development of various programs that can control burnout of nurses.

• Journal of Agricultural Extension & Community Development
• /
• v.27 no.4
• /
• pp.173-184
• /
• 2020

Is the Fourth Industrial Revolution a revolution for cities only? Through the Fourth Industrial Revolution, Korea has entered quickly in the influence area of intelligent information technology such as IoT, AI, Big data, Cloud, ICT, Digital twin. However, as the information gap between the rural zone and the urban zone worsens, a policy was needed to reduce such a gap. Therefore, this research analyzed EU's smart village project, and investigated the problem and improvement of the actual smart village through the interview and field study with the person in charge of the actual smart village project in Korea. Based on the analytic result, 5 plans were deduced to improve Korea's smart village project. First, make the realistic adjustment of project period to assure the sustainability of smart village; second, make the new establishment of the department in charge of smart village project; third, construct the system of integrating and cooperating the policy that can embrace all the rural zone and the urban zone; the fourth, expand the application area of customized ICT technology according to the new rural policy environment; and finally introduce the residents' capacity development project through the rural guidance project.

• Journal of Sport and Applied Science
• /
• v.5 no.1
• /
• pp.1-9
• /
• 2021

Purpose: In Seongnam City, a number of festivals are held in various areas, led by the city and private organizations. The necessity of developing a representative festival of Seongnam City, which can enhance the brand value of Seongnam, a cultural city, and promote a sense of local community and economic effects, is emerging. The purpose of this study is to analyze festival-related ordinances of Gyeonggi-do local governments, and to derive implications necessary for the development of festival support ordinances representing Seongnam City. Research design, data, and methodology: This study used the database of National Legal Information Center of the Ministry of Legislation and the autonomous legal information system to thoroughly investigate the ordinances related to festival support of basic local governments in Gyeonggi-do and the whole country. To do this, descriptive statistics analysis was conducted. Results: As a result of the study, it was found that 168 organizations (68.6%) of 245 local governments nationwide have adopted the festival support ordinance, and there are a total of 231 ordinances. In the case of basic organizations, out of 228 basic organizations, 151 organizations, including Seongnam City, adopted the ordinance on festival support, showing an adoption rate of about 66%. As a result of analyzing the basic organizations that enacted representative festival related ordinances among Gyeonggi-do basic organizations, 9 out of 28 cities adopted 16 representative festival ordinances, based on the legal and institutional basis for supporting representative festivals. Conclusions: In the case of Seongnam City, it is believed that in order to develop a representative festival, an ordinance to support the representative festival must be established. Considerations regarding the composition of the ordinance for the representative festival were discussed.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.9 no.9
• /
• pp.1041-1048
• /
• 2019

Recently, social demands on atypical buildings and building spaces are increasing, and examples of atypical buildings are easily seen in major cities around the world. This study investigates the user behaviors in the typical atypical buildings currently constructed and analyzes the characteristics of human behavior in the atypical building space. Ultimately, this study aims to develop human behavior simulation technology for reviewing residential performance of atypical building space design, and the results of this study can be used for user behavior modeling and simulation technology development. This is because it is difficult to find an investigation or analysis of what behavioral characteristics occur in the atypical building space in previous studies. This study derives the characteristics of human behavior in the atypical architectural space that has been overlooked in the existing human behavior simulation tools. In other words, the site visits and surveys typical atypical buildings to investigate user behaviors in typical spaces and other atypical buildings.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.15 no.6
• /
• pp.7-14
• /
• 2019

The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.