• Atmosphere
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• v.29 no.2
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• pp.183-196
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• 2019

High-quality and high-resolution meteorological information is essential to reduce damages due to disastrous weather phenomena such as flash flood, strong wind, and heat/cold waves. There are many meteorological observation stations operated by Korea Meteorological Administration (KMA) in Seoul Metropolitan Area (SMA). Nonetheless, they are still not enough to represent small-scale weather phenomena like convective storm cells due to its poor resolution, especially over urban areas with high-rise buildings and complex land use. In this study, feasibilities to use additional pre-existing networks (e.g., operated by local government and private company) are tested by investigating the effects of network density on the gridded horizontal distribution of two meteorological variables (temperature and precipitation). Two heat wave event days and two precipitation events are chosen, respectively. And the automatic weather station (AWS) networks operated by KMA, local-government, and SKTechX in Incheon area are used. It is found that as network density increases, correlation coefficients between the interpolated values with a horizontal resolution of 350 m and observed data also become large. The range of correlation coefficients with respect to the network density shows large in nighttime rather than in daytime for temperature. While, the range does not depend on the time of day, but on the precipitation type and horizontal distribution of convection cells. This study suggests that temperature and precipitation sensors should be added at points with large horizontal inhomogeneity of land use or topography to represent the horizontal features with a resolution higher than 350 m.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.5
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• pp.57-68
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• 2019

Rural tourism has been identified as providing opportunities to revitalize the rural economies since early 2000s. During last decade in South Korea, government has enacted many policies aiming to establish tourism support programs as well as instigating activities between rural and nearby urban districts. In particular, the promotion of the rural tourism has been actively sought in various forms of products and services, such as green tourism village, village festival, one-company one-village campaign and etc. However, in order to prepare effective policies, it is very crucial to identify measureable evaluation criteria that can be used to assess socio-economic situations of the rural districts. Such criteria should be objective, timely and provide insights about living conditions of local residents and relevant properties. They can also be used to evaluate if progress is being made after the policies are implemented. While considerable efforts and resources have been invested to aid the tourism programs in South Korea, we still lack such systematic means to quantify and evaluate its impact on rural districts. In this work, we have applied regional deprivation analysis on well-established community experiential and recreational business in rural villages throughout the country based on three criteria (i.e., population, local commerce, and buildings). Surprisingly, the result shows that the implementation of the community experiential and recreational businesses did not bring any noticeable changes to at least one of the evaluation criteria. We concluded that the current government policies on revitalization of rural tourism at the village scale is insufficient for bringing meaningful socio-economic impacts to rural districts, with rare exceptions.

• Journal of the Korean Society of Safety
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• v.36 no.3
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• pp.31-39
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• 2021

In Korea, more than half of work-related fatalities have occurred on construction sites. To reduce such occupational accidents, safety inspection by government agencies is essential in construction sites that present a high risk of serious accidents. To address this issue, this study developed risk prediction models of serious accidents in construction sites using five machine learning methods: support vector machine, random forest, XGBoost, LightGBM, and AutoML. To this end, 15 proactive information (e.g., number of stories and period of construction) that are usually available prior to construction were considered and two over-sampling techniques (SMOTE and ADASYN) were used to address the problem of class-imbalanced data. The results showed that all machine learning methods achieved 0.876~0.941 in the F1-score with the adoption of over-sampling techniques. LightGBM with ADASYN yielded the best prediction performance in both the F1-score (0.941) and the area under the ROC curve (0.941). The prediction models revealed four major features: number of stories, period of construction, excavation depth, and height. The prediction models developed in this study can be useful both for government agencies in prioritizing construction sites for safety inspection and for construction companies in establishing pre-construction preventive measures.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.388-402
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• 2021

This study utilizes the theoretical framework of Extended Technology Acceptance Model to understand the governmental factors that affect the people's intention to use AI services. With the result of the analysis, as the expected impact of AI on fields related to effectiveness and accountability becomes higher, the intention of using AI service also got higher. In addition, the easier usability of e-government, the more active disclosure of their personal information, and the higher expectations for a hyper-connected society, their intention to use AI services became higher as well.

• Advances in Computational Design
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• v.7 no.2
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• pp.113-128
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• 2022

Water consumption is strongly affected by numerous factors, such as population, climatic, geographic, and socio-economic factors. Therefore, the implementation of a reliable predictive model of water consumption pattern is challenging task. This study investigates the performance of predictive models based on multi-layer perceptron (MLP), multiple linear regression (MLR), and support vector regression (SVR). To understand the significant factors affecting water consumption, the stepwise regression (SW) procedure is used in MLR to obtain suitable variables. Then, this study also implements three predictive models based on these significant variables (e.g., SWMLR, SWMLP, and SWSVR). Annual data of water consumption in Thailand during 2006 - 2015 were compiled and categorized by provinces and distributors. By comparing the predictive performance of models with all variables, the results demonstrate that the MLP models outperformed the MLR and SVR models. As compared to the models with selected variables, the predictive capability of SWMLP was superior to SWMLR and SWSVR. Therefore, the SWMLP still provided satisfactory results with the minimum number of explanatory variables which in turn reduced the computation time and other resources required while performing the predictive task. It can be concluded that the MLP exhibited the best result and can be utilized as a reliable water demand predictive model for both of all variables and selected variables cases. These findings support important implications and serve as a feasible water consumption predictive model and can be used for water resources management to produce sufficient tap water to meet the demand in each province of Thailand.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.531-539
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• 2022

The government enforced policies such as social distancing and limiting business hours to prevent the spread of COVID-19. However, the impact of the long-term COVID-19 pandemic is causing more serious difficulties for small business owners. The government intended to relieve the business management pressure for small business owners by drawing up the COVID-19 emergency disaster relief funds. The funds provided temporary support for the small business owners, but the prolonged pandemic worsened the business management difficulties. Therefore, this study will apply fixes that fail and shifting the burden archetypes from the system archetype of system thinking for the exploratory deduction of policy measures as the policy leverage to effectively enhance the recovery of small business owners. In response to the situation, emergency financial aid for small business owners and support that can enhance the self-sustaining powers are required to heighten the recovery of small business owners.

• Pediatric Infection and Vaccine
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• v.29 no.3
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• pp.155-160
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• 2022

Children and adolescents with coronavirus disease 2019 (COVID-19) generally have mild symptoms. Severe infection due to severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) involving multiorgan dysfunction is rare in this population. Herein, we present an unusual case of severe SARS-CoV-2 infection with multiorgan involvement followed by multisystem inflammatory syndrome in children (MIS-C) in a vaccinated 16-year-old boy. The patient was unconscious on initial presentation, and had severe paralytic ileus. On laboratory examination, there was severe metabolic acidosis, lymphocytopenia, thrombocytopenia, elevated inflammatory markers, elevated liver enzymes, and evidence of acute kidney injury with proteinuria and hematuria. His symptoms improved with the administration of remdesivir and dexamethasone. The patient briefly experienced MIS-C 2 weeks after the diagnosis of COVID-19, but the patient was discharged without any complications.

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.107-116
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• 2009

To establish efficient e-government and to improve the quality of public services, online public services are in operation in every administrative organization. However, due to the lack of analysis and connection between each government organization, the satisfaction of the civil users has not been improved very much. This research presents the core components of Integrated Management Model for Public Services, which can minimize the time for processing public services and the expenses for administrative procedure, based on the example of N Ministry. For this purpose, it analyzes current process of the public services to find out underlying problems, deduces requirements for improvement, presents and implements the design principles of Integrated Management System for Public Services. The efficiency of this Integrated Management System was proven with the analysis from the viewpoints of civil users, internal service representatives, and their managers.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.3
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• pp.33-46
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• 2009

Since the e-government has been established, a significant portion of governmental business processes is conducted on the web. There are a large amount of records which are used and maintained only on the web. However, although the web-based governmental records have a great value as national strategic resources and cultural heritages, there is no practical management activity for them. In this context the study discusses the necessity of web-based records information management policies and explores problems of web-based records management policies. As a case study, TNA in the UK and NARA in the US are discussed. Also, the National Archives of Korea and the Presidential Archives are explored. Furthermore, a comparative analysis is conducted against these four cases. Based on the discussion, as a result, the study presents feasible solutions to web-based records management policies in terms of law, system and technology.

• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.17.1-17.6
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• 2023

The current 52-hour workweek in South Korea consists of 40 hours of regular work and 12 hours of overtime. Although the average working hours in South Korea is declining, it is still 199 hours longer than the Organisation for Economic Co-operation and Development average of 1,716 hours per year. In view to this, the South Korean government has now proposed to reform the workweek, mainly intending to increase the workweek to 69 hours when the workload is heavy. This reform, by increasing the labor intensity due to long working hours, goes against the global trend of reducing work hours for a safe and healthy working environment. Long working hours can lead to increased cerebrovascular and cardiovascular diseases, industrial accidents, mental health problems, and safety accidents due to lack of concentration. In conclusion, the Korean government's working hour reform plan can have a negative impact on workers' health, and therefore it should be thoroughly reviewed and modified.