• Journal of Digital Convergence
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• v.20 no.4
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• pp.651-659
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• 2022

The purpose of this study is to examine the influence of family economic deterioration caused by COVID-19 on mental health among adolescents in grandparent-headed families. For the purpose, this study used raw data from the 16th Korea Youth Risk Behavior Survey constructed by the Korea Disease Control and Prevention Agency in 2020 and analyzed the influence of family economic deterioration caused by COVID-19 on anxiety, stress, depression, and suicidal ideation. The main results regarding research questions are as follows. First, 39% of 589 adolescents in grandparent-headed families experienced family economic deterioration caused by COVID-19. Also, compared with adolescents who did not experience family economic deterioration, those who experienced deterioration showed higher scores of anxiety and stress as well as higher percentages of experiencing depression and suicidal ideation. Second, regression analyses showed that family economic deterioration caused by COVID-19 positively significantly influenced anxiety, stress, depression, and suicidal ideation. Based on the analyzed results, strategies to protect the mental health of adolescents in grandparent-headed families in disaster like COVID-19 were discussed.

• 한국노년학
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• v.41 no.3
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• pp.353-371
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• 2021

The purpose of this study is to provide clues to social welfare policy making by revealing discourse on social intervention and response based on big data on elderly living alone in the COVID-19 situation. Keyword analysis, network analysis, and topic analysis were utilized to explore the ways in which news media have portrayed challenges facing older individuals and the ways in which the central and local government as well as private organization have responded to them. Results are as follows. First, networks(degree, closeness, betweenness) were formed around region, delivery, society, support, and vulnerability, suggesting an increased demand for economic assistance and social support as well as stronger service delivery systems. Second, key topics derived included "establishing public delivery systems", "establishing local networks", "Managing care gap", "Establishing a private economic support system", and "Establishing service organization system". Based on the research results, discourse on the organic role of government, communities and the private sector has been presented, suggesting policy and practical implications by proposing a discussion on how to intervene for elderly living alone in disaster situations such as COVID-19.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.5
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• pp.811-816
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• 2022

Even though continuous management and supervision of reinforcement of policies to safeguard accidents at workplace and work sites were implemented. Accident prevention activities such as inspection and diagnosis are urgently required to induce a preliminary investigation to identify the risk factors for each type of work, before the work task to eliminate risks at the worksites. Since safety inspections at work sites were generally conducted through visual inspections, the results of safety inspections may vary depending on the findings and proficiency of the safety officers. The results of those inspections may have loopholes to prevent potential accidents at work. Therefore, the purpose of this study was to develop a risk identification checklist that can effectively perform safety inspections to prevent accidents at work sites. This study initially analyzed the previously developed accident checklist to identify current complications and issues in safety checklists. Based on the findings of major industrial accidents over the past three years, the relationship between accident, workplace, and work type were analyzed refereeing the safety inspection standards. A risk recognition-checklist was developed to provide basic data on identifying risk factors, and inspection guidance at work sites. To prepare for potential accidents by identifying and taking countermeasures to mitigate the high risk and serious accidents at sites by the guidelines of the checklist. The developed inspection checklist has been practically used by experts at work sites to perform safety inspections, and it has been verified its suitability, and feasibility, to prevent or mitigate workplace accidents, including securing the safety and health of field workers. The role of the developed safety checklist has been considered effective at worksites.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.248-258
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• 2021

24-hour monitoring is required to maintain the city's lifeline function in the underground facility for public utilities. And it is necessary to develop technology to exchange the shortage of human resources. It is difficult to reflect the specificity of underground space management in general management methods. This study proposes underground facility for public utilities digital twin system requirements. The concept of space is divided into physical space and virtual space, and the physical space constitutes the type and layout of the sensor that is the basis for the construction of the multimodal image sensor system, and the virtual space constitutes the system architecture. It also suggested system functions according to the task. It will be effective in preventing disasters and maintaining the lifeline function of the city through the digital twins.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.65-70
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• 2023

In this paper, we propose a CCTV storage space securing model using YOLO v3. CCTV is installed and operated in various parts of society for disasters, disasters and safety such as crime prevention, fire prevention, and monitoring, and the number of CCTV is increasing and the quality of the video quality is improving. Due to this, as the number and size of image files increase, it is difficult to cope with the existing storage space. In order to solve this problem, we propose a model that detects specific objects in CCTV images using YOLO v3 library and deletes unnecessary frames by saving only the corresponding frames, thereby securing storage space by reducing the size of the image file, and thereby Periodic images can be stored and managed. After applying the proposed model, it was confirmed that the average image file size was reduced by 94.9%, and it was confirmed that the storage period was increased by about 20 times compared to before the application of the proposed model.

• The Korean Journal of Emergency Medical Services
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• v.26 no.1
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• pp.57-70
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• 2022

Purpose: The purpose of this study was to investigate the effect of coronavirus disease-19 (COVID-19) knowledge, anxiety, and psychosocial well-being on the infection prevention behavior of college students in health care. Methods: This study is a descriptive survey research. A total of 301 college students at four health care departments in three regions were surveyed using a structured questionnaire from February 10 to February 16, 2022. The collected data were analyzed using descriptive statistics, independent t-test, and one-way ANOVA. Pearson correlation coefficients and multiple regression analyses were done using SPSS ver. 18.0. Results: Knowledge on COVID-19 was significantly dependent on a family history of chronic disease (p=.049). Anxiety was significantly dependent on test of COVID-19 (p=.040). Gender (p=.049), perceived physical and mental health status (p=.000), and chronic disease (p=.000) had significant effects on infection prevention behavior. When the level of anxiety was higher, the infection prevention behavior was also higher (p=.000) and the psychosocial well-being was improved (p=.017). Stepwise multiple regression analysis revealed that anxiety significantly improved the infection prevention behavior (𝛽=.396, p<.001) and psychosocial well-being (𝛽=-.139, p=.008), which accounts for 18.5% (F=22.444, p<.001) of the variance. Conclusion: In order to prevent infectious diseases such as COVID-19 and its spread, measures to prevent infection and improve the psychosocial well-being should also be sought.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.781-786
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• 2021

Korean domestic workers are trend to avoid harmful and dangerous jobs calls 3D work due to the poor working conditions. Therefore, the incoming population of foreign workers is increasing to fulfill the required labor force. Mostly these foreign workers are placed in small and medium-size industries. As work that induces musculoskeletal disorders(WMSD) is equally exposed to domestic workers as well as foreign workers, this study attempted to investigate the work burdened by musculoskeletal disorders and derive improvement measures by understanding the actual conditions of the worksites of foreign workers. The result of this investigation defines that the possibility of developing musculoskeletal disorders is very high in the environment in which more than 40% of the respondents work with heavy objects and repetitive work of wrists and elbows. To prevent the symptoms of musculoskeletal disorders among foreign workers, three measures were proposed. To reduce the mandatory check-up period of WMSD under the Occupational Safety and Health Act, to revise the employment permit system, and to enhance the practical help of EPS education. Safety and health management of foreign workers is becoming an essential task not only for securing a workforce but also for the national image. Personal and economic losses at the national level should be minimized through policy support such as financial support for small and medium-sized businesses in Korea and supplementation of legal systems for the protection of foreign workers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.95-101
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• 2023

Globally, the importance of utilization and management of marine spatial information is being maximized, and analyzing such data is emerging as a major driving force for R&D. In Korea, it is expected that collecting marine data from the past to the present and extracting its value will play an important role in the development of science in Korea in the future. In particular, marine static data constitutes a huge big database, and it is necessary to store and store the collected data without loss as high data collection costs and high-level observation techniques are required. In addition, the Disaster Safety Intelligence Convergence Center's "Marine Digital Twin Establishment and Utilization-Based Technology Research" task requires collection and analysis of marine data, so this paper conducts a current status survey of static marine data. And we present a series of algorithms that collect and store them in a database.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.65-65
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• 2023

최근 기후변화로 인해 홍수, 가뭄 등 수재해가 세계 곳곳에서 빈번하게 발생하고 있다. 이로 인해 정확한 강우-유출 해석의 중요도는 높아지고 있으며 강우-유출 해석에 따라 수자원 관리 및 계획수립의 정도가 달라질 수 있다. 본 연구 대상 지역인 메콩강 유역은 중국과 동남아시아 5개국(라오스, 태국, 미얀마, 베트남, 캄보디아)을 관통하는 국가공유하천으로 기초자료의 획득이 어렵고 국가별로 구축된 자료가 질적, 양적 품질이 상이하여 수문해석에서의 기초자료로 사용하기에 불확실성이 있다. 최근 기술의 발달로 글로벌 격자형 강수자료 획득이 용이함에 있어 미계측 대유역에서의 다양한 연구들이 수행되고 있지만, 지점강수자료와 시·공간적 오차로 인한 불확실성을 내포하고 있다. 이에 본 연구에서는 글로벌 격자형 강수자료의 적용성을 평가하기 위하여 지점 격자형 강수자료(APHRODITE)와 4개의 위성강수자료(CHIRPS, CMORPH, PERSIANN-CDR, TRMM)를 수집하고 합성곱 신경망 모형인 ConvAE 기법을 이용하여 위성강수자료의 시·공간 편의 보정을 수행하였다. 또한, 하천 수위에 대한 장기간 정보 수집이 가능한 메콩강 본류 4개 관측소(Luang Prabang, Pakse, Stung Treng, Kratie)를 선정하였으며 SWAT 모형을 이용하여 매개변수 보정(2004~2013)과 격자형 강수자료의 보정 전·후의 유출모의(2014~2015) 결과를 비교·분석하였다. 격자형 강우를 이용한 보정 및 유출 분석 결과 4개의 위성강수자료 모두 성능이 향상되었으며 그 중 보정된 TRMM이 가장 우수한 성능을 보여 해당 유역에서의 APHRODITE를 대체할 수 있다고 판단하였다. 따라서 본 연구에서 제시하는 ConvAE를 이용한 보정기법과 이를 이용한 강우-유출 해석은 향후 다양한 격자형 강수자료를 활용한 미계측 대유역에서의 수문해석에서 활용이 가능할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.280-280
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• 2023

강수의 정확한 시·공간적 추정은 홍수 대응, 가뭄 관리, 수자원 계획 등 수문학적 모델링의 핵심 기술이다. 우주 기술의 발전으로 전지구 강수량 측정 프로젝트(Global Precipitation Measurement, GPM)가 시작됨에 따라 위성의 여러 센서를 이용하여 다양한 고해상도 강수량 자료가 생산되고 있으며, 기후변화로 인한 수재해의 빈도가 증가함에 따라 준실시간(Near-Real-Time) 위성 강수 자료의 활용성 및 중요성이 높아지고 있다. 하지만 준실시간 위성 강수 자료의 경우 빠른 지연시간(latency) 확보를 위해 관측 이후 최소한의 보정을 거쳐 제공되므로 상대적으로 강수 추정치의 불확실성이 높다. 이에 따라 본 연구에서는 앙상블 머신러닝 기반 수집된 위성 강수 자료들을 관측 자료와 병합하여 보정된 준실시간 강수량 자료를 생성하고자 한다. 모형의 입력에는 시단위 3가지 준실시간 위성 강수 자료(GSMaP_NRT, IMERG_Early, PERSIANN_CCS)와 방재기상관측 (AWS)의 온도, 습도, 강수량 지점 자료를 활용하였다. 지점 강수 자료의 경우 결측치를 고려하여 475개 관측소를 선정하였으며, 공간성을 고려한 랜덤 샘플링으로 375개소(약 80%)는 훈련 자료, 나머지 100개소(약 20%)는 검증 자료로 분리하였다. 모형의 정량적 평가 지표로는 KGE, MAE, RMSE이 사용되었으며, 정성적 평가 지표로 강수 분할표에 따라 POD, SR, BS 그리고 CSI를 사용하였다. 머신러닝 모형은 개별 원시 위성 강수 자료 및 IDW 기법보다 높은 정확도로 강수량을 추정하였으며 공간적으로 안정적인 결과를 나타내었다. 다만, 최대 강수량에서는 다소 과소추정되므로 이는 강수와 관련된 입력 변수의 개수 업데이트로 해결할 수 있을 것으로 판단된다. 따라서 불확실성이 높은 개별 준실시간 위성 자료들을 관측 자료와 병합하여 보정된 최적 강수 자료를 생성하는 머신러닝 기법은 돌발성 수재해에 실시간으로 대응 가능하며 홍수 예보에 신뢰도 높은 정량적인 강수량 추정치를 제공할 수 있다.