• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.1
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• pp.65-74
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• 2021

This study empirically analyzes the effect of pedestrians' personal and household characteristics and accessibility to public facilities on a walking safety satisfaction (WSS) level. The aim is to find ways to improve vulnerable pedestrians' WSS level and contribute to the creation of an inclusive urban environment. As a result of the analysis, age and gender variables were important for elderly people, and education was an important factor for disabled people. The WSS level was impacted by the factors of single-person households, income, and residential areas. In the case of accessibility to public facilities, the greater the satisfaction with accessibility to public institutions, urban parks and green areas, and public transport, the greater the WSS for the elderly and the disabled. And, the greater the satisfaction with accessibility to commercial facilities, the greater the WSS was for the elderly's WSS. However, the satisfaction with access to medical facilities was the opposite in the case of the elderly.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.199-205
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• 2024

Purpose: This study aims to improve the recognition rate of Auto People Counting (APC) in accurately identifying and providing information on remaining evacuees in disaster-vulnerable facilities such as nursing homes to firefighting and other response agencies in the event of a disaster. Methods: In this study, a baseline model was established using CNN (Convolutional Neural Network) models to improve the algorithm for recognizing images of incoming and outgoing individuals through cameras installed in actual disaster-vulnerable facilities operating APC systems. Various algorithms were analyzed, and the top seven candidates were selected. The research was conducted by utilizing transfer learning models to select the optimal algorithm with the best performance. Results: Experiment results confirmed the precision and recall of Densenet201 and Resnet152v2 models, which exhibited the best performance in terms of time and accuracy. It was observed that both models demonstrated 100% accuracy for all labels, with Densenet201 model showing superior performance. Conclusion: The optimal algorithm applicable to APC among various artificial intelligence algorithms was selected. Further research on algorithm analysis and learning is required to accurately identify the incoming and outgoing individuals in disaster-vulnerable facilities in various disaster situations such as emergencies in the future.

• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.577-596
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• 2020

Drought is a natural disaster that directly affects agriculture, which has a great impact on the global agricultural production system and yield. The lack of water storage in most parts of the country due to the lack of precipitation has caused a great increase in social interest in drought due to the dryness of rice fields and crops. As the drought period increases and the drought intensity becomes stronger, it is believed that drought damage to crops will continue; thus, it is necessary to understand the vulnerability to irrigation performance and the ability of irrigation facilities. Therefore, this study conducted a vulnerability assessment of irrigation facilities (public Groundwater well) in cities across the country. The survey was conducted using statistical data from 2007 to 2016, and the vulnerability score was calculated according to the vulnerability evaluation procedure for drought in the irrigation facilities (public groundwater wells). Among 157 regions, 136 areas were very vulnerable; 14 areas were vulnerable; 3 areas were normal; 4 areas were good, and 0 areas were excellent. The vulnerability assessment can be used as basic data for the development or maintenance of field irrigation facilities in the future by understanding the vulnerability of irrigation facilities.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.1
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• pp.1-12
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• 2015

This study is to analyze the heavy snowfall vulnerable area of snow load design criteria for greenhouse, cattle shed and building using ground measured snow depth data and Terra MODIS snow cover area(SCA). To analyze the heavy snowfall vulnerable area, Terra MODIS satellite images for 12 years(2001-2012) were used to obtain the characteristics of snow depth and snow cover areas respectively. By comparing the snow load design criteria for greenhouse(cm), cattle shed($kg/m^2$), and building structure($kN/m^2$) with the snow depth distribution results by Terra MODIS satellite images, the facilities located in Jeolla-do, Chungcheong-do, and Gangwon-do areas were more vulnerable to exceed the current design criteria.

• Journal of the Korean Institute of Educational Facilities
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• v.28 no.1
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• pp.3-11
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• 2021

According to the Gyeonggi Provincial Office of Education's 2018 Education Statistics, there are 4,692 schools in Korea, and most of them were built before 1985 and the aging of facilities due to earthquake and external environment has reached a serious point and are vulnerable to safety. The Gyeonggi Provincial Office of Education designated 2,561 buildings with floor space of 1,000 square meters or more under the "Special Act on Safety and Maintenance of Facilities (2018.1.18. Full Revision)" and conducted regular safety inspections. The purpose of this study is to analyze the evaluation of school facilities according to the results of a regular safety inspection and to propose a maintenance plan for educational facilities for future defects according to the conditions of the facilities.

• Transportation Technology and Policy
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• v.9 no.1
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• pp.57-66
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• 2012

• Journal of the Korean association of regional geographers
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• v.12 no.1
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• pp.172-178
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• 2006

There has been tremendous increase of disaster related damages since 1990's. Especially flood occurred in summer season highly populated area has led to demolish a lot of facilities and buildings within a short time period. This is to figure out the way to predict the vulnerable flood inundation area by past records of inundation and and geographic information available. The comparative study on 1998 and 1999 flood inundation area in Munsan and Gokneung river shows that 5 degree of slope and 10 m elevation level are dividing index to draw the vulnerable area. This study is to suggest the relatively easy method to predict flood vulnerable area and to apply the results to prepare for protecting the facilities and the people with other thematic geographic database.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.333-344
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• 2017

This research analyzes Seoul station, a typical transfer station complex, focusing on the evaluation of its barrier free design suitable for vulnerable persons such as senior citizens. The analysis was conducted to assess its compliance with the "barrier-free" design standard for those with physical or other disabilities. This paper proposes a list of items to evaluate for transfer station complexes with a barrier-free design. The results showed that the overall connections and internal and sanitation facilities of (Seoul station/the design?)were excellent. However, because of the lack of transfer and guidance facilities, vulnerable persons felt uncomfortable when searching for information about transferring from one means of transport to another. Furthermore, there was an extremely high risk of accidents when they transferred to the bus station. Therefore, it is necessary to arrange the transfer information facilities, in order to improve their readability and visibility. Once this is done, vulnerable people will be able to use this station more safely and conveniently.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.17-22
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• 2022

Currently, the housing supply rate exceeds 100%, and the penetration rate continues to increase. This housing supply rate is changing from quantitative supply-oriented to improving the quality of the residential environment in housing service policies. Despite the increase in the housing supply rate, practical access to the vulnerable class is still difficult and there are many areas that are insufficient to use housing services when necessary. In addition, the demand for residential services is increasing due to the expansion of the scope of the vulnerable class. In order to compensate for these problems, facilities and joint occupancy that cannot guarantee independent living are mainly established, although a supply plan is established for the vulnerable by expanding policies and support projects. This paper proposes an IoT environment-based housing support system for vulnerable groups to support housing services for vulnerable groups. The proposal system improves the quality of the residential environment and provides service-oriented support services. Through the proposal system, appropriate social participation opportunities can be provided by improving the quality of life of the vulnerable and supporting a residential environment where independent living is possible.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.3
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• pp.61-69
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• 2021

Purpose: Senior long-term care facilities are vulnerable to a cluster infection because of frequent physical contact, large group dining, communal living, and room sharing. This study aims to provide architectural improvement plans for a quarantine system in the facilities. Methods: Actual quarantine action data, guidelines from governments and institutes, in-depth interviews with facility staff are analyzed. Results: To prevent a cluster infection in the senior facilities, it is necessary to provide an architectural plan focusing on increasing the number of single rooms and isolation rooms, providing isolation rooms for staff, separation of a soiled room from a clean room, planing an entry vestibule and a visitor's room. Implications: It is important to analyze the existing condition of facilities that had been going through cohort isolation and provide the architectural solution to strengthen infection control.