• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.127-134
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• 2022

Recently, policies and research to prevent increasing construction accidents have been actively conducted in the domestic construction industry. In previous studies, the prediction model developed to prevent construction accidents mainly used only structured data, so various characteristics of construction sites are not sufficiently considered. Therefore, in this study, we developed a machine learning-based construction accident prediction model that enables the characteristics of construction sites to be considered sufficiently by using both structured and text-type unstructured data. In this study, 6,826 cases of construction accident data were collected from the Construction Safety Management Integrated Information (CSI) for machine learning. The Decision forest algorithm and the BERT language model were used to train structured and unstructured data respectively. As a result of analysis using both types of data, it was confirmed that the prediction accuracy was 95.41 %, which is improved by about 20 % compared to the case of using only structured data. Conclusively, the performance of the predictive model was effectively improved by using the unstructured data together, and construction accidents can be expected to be reduced through more accurate prediction.

• Korean small business review
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• v.42 no.1
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• pp.57-77
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• 2020

In Korea, various schemes have been implemented to prevent the outflow of technology, but they do not bring practical effects. In general, we focus on follow-up measures such as strong punishment in case of violation of the law. In terms of proactive prevention, it is not shown to have any real preventive effect, even though it includes such matters as imposing security measures on companies or conducting a survey. this paper examines the need to strengthen the protection of business secrets by reviewing the employment rules between companies and workers presented in the Labor Relations Act and the Labor Standards Act as a realistic alternative. In most companies, even though the employment rule is the highest standard of private regulations, the employment rule has no matters on the prevention and protection of technology leakage. The employment rules require all employees working for companies to agree and notify in the Labor Standards Act, so it is necessary to reflect them as standards in the standard employment rules because it shows that all employees of the company can have a common sense of security and present legal compliance with security-related documents, such as security pledges and security-related guidelines and procedures.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.175-185
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• 2023

Recently, novel viral infections such as COVID-19 have spread and pose a serious public health problem. In particular, these diseases have a fatal effect on the elderly, threatening life and causing serious social and economic losses. Accordingly, applications such as telemedicine, healthcare, and disease prevention using the Internet of Things (IoT) and artificial intelligence (AI) have been introduced in many industries to improve disease detection, monitoring, and quarantine performance. However, since existing technologies are not applied quickly and comprehensively to the sudden emergence of infectious diseases, they have not been able to prevent large-scale infection and the nationwide spread of infectious diseases in society. Therefore, in this paper, we try to predict the spread of infection by collecting various infection information with regional limitations through a virus disease information collector and performing AI analysis and severity matching through an AI broker. Finally, through the Korea Centers for Disease Control and Prevention, danger alerts are issued to the elderly, messages are sent to block the spread, and information on evacuation from infected areas is quickly provided. A realistic elderly support system compares the location information of the elderly with the information of the infected area and provides an intuitive danger area (infected area) avoidance function with an augmented reality-based smartphone application. When the elderly visit an infected area is confirmed, quarantine management services are provided automatically. In the future, the proposed system can be used as a method of preventing a crushing accident due to sudden crowd concentration in advance by identifying the location-based user density.

• Journal of the Korean Geosynthetics Society
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• v.22 no.2
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• pp.23-33
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• 2023

Currently, there are cases in Korea where economic damage has occurred due to the ambiguity instrument installation and operation standards in the construction of temporary earth retaining wall, failing to prevent collapse of temporary earth retaining wall at the construction site in advance. Therefore, in this study, a numerical analysis was conducted to find the appropriate installation location of the inclinometer and strain gauge among the installed instruments shown in the design drawing of the temporary earth retaining wall. As a results, It was found that the installation position of the underground inclinometer is the corner of the retaining wall in the case of plane-deformation analysis, and the most displacement occurs in the center of the excavation surface in the case of 3D analysis. When the stress and moment are comprehensively analyzed, the corner is judged to be a vulnerable point. In the case of the strain gauge, In plane-deformation analysis and 3D analysis, the maximum bending stress occurred at the wale connection where the end of the strut and the counter strut are in contact. At this point, it is analyzed that it is necessary to focus on installing and managing the connection to prevent accidents from being vulnerable.

• The Journal of Bigdata
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• v.8 no.1
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• pp.99-109
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• 2023

Recently, not only in Korea but also around the world, we have been experiencing constant disasters such as typhoons, wildfires, and heavy rains. The property damage caused by typhoons and heavy rain in South Korea alone has exceeded 1 trillion won. These disasters have resulted in significant loss of life and property damage, and the recovery process will also take a considerable amount of time. In addition, the government's contingency funds are insufficient for the current situation. To prevent and effectively respond to these issues, it is necessary to collect and analyze accurate data in real-time. However, delays and data loss can occur depending on the environment where the sensors are located, the status of the communication network, and the receiving servers. In this paper, we propose a two-stage hybrid situation analysis and prediction algorithm that can accurately analyze even in such communication network conditions. In the first step, data on river and stream levels are collected, filtered, and refined from diverse sensors of different types and stored in a bigdata. An AI rule-based inference algorithm is applied to analyze the crisis alert levels. If the rainfall exceeds a certain threshold, but it remains below the desired level of interest, the second step of deep learning image analysis is performed to determine the final crisis alert level.

• Knowledge Management Research
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• v.24 no.3
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• pp.17-34
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• 2023

Recently, national concern for record breaking level of deficit operation of KEPCO grows bigger in Korea. With this regard, many stakeholders believe KEPCO should be responsible for this result although it is not clear whether KEPCO is only to blame who is in such position where full cost pricing is impossible and entrepreneurial efficiency is not guaranteed. Particularly, less concern is given to Performance Evaluation for Public Organization(PEPO) which did not give prior warning against major deficit of KEPCO or help to improve its capacity to deal with the problem, and thus prevented KEPCO from acknowledging its managerial weakness by crediting KEPCO with successive grade B during the period of previous government. Based on such viewpoint, this study analyzes reports of PEPO for 5 years in terms of evaluability assessment and suggests proper direction for better PEPO in the future. From this analysis, it was found that firstly, relevant suggestion was not made to prevent or improve defict problem; secondly, comments are increasing every year without consistency; thirdly, comments related to long-term investment are only recently found; fourthly, suggestions are based on political orientation rather than evidence or expertise. This study is expected to contribute to evidence-based evaluation and knowledge management since it tackles evaluation reports themselves for the first time.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.27-34
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• 2024

The direct and indirect damages caused by fires in underground utility tunnels have a great impact on society as a whole, so efforts are needed to prevent and manage them in advance. To this end, research is ongoing to prevent disasters such as fire flooding by applying digital twin technology to underground utility tunnels. A network is required to transmit the sensed signals from each sensor to the platform. In essence, it is necessary to analyze the application of wireless networks in the underground utility tunnel environments because the tunnel lacks the reception range of external wireless communication systems. Within the underground utility tunnels, electromagnetic interference caused by transmission and distribution cables, and diffuse reflection of signals from internal structures, obstacles, and metallic pipes such as water pipes can cause distortion or size reduction of wireless signals. To ensure real-time connectivity for remote surveillance and monitoring tasks through sensing, it is necessary to measure and analyze the wireless coverage in underground utility tunnels. Therefore, in order to build a wireless network environment in the underground utility tunnels. this study minimized the shaded area and measured the actual cavity environment so that there is no problem in connecting to the wireless environment inside the underground utility tunnels. We analyzed the data transmission rate, signal strength, and signal-to-noise ratio for each section of the terrain of the underground utility tunnels. The obtained results provide an appropriate wireless planning approach for installing wireless networks in underground utility tunnels.

• Journal of Korean Tunnelling and Underground Space Association
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• v.26 no.5
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• pp.421-433
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• 2024

As the utilization of underground space increases, preventing collapse accidents during tunnel construction has become a significant challenge. This study aims to quantitatively assess the risk of tunnel collapse during construction by analyzing various influencing factors and proposing a tunnel collapse risk index based on these factors. For the 14 major influencing factors affecting tunnel collapse, weights were calculated using the analytic hierarchy process (AHP) method. Data from 27 collapse cases were collected, and Monte Carlo simulation was used to calculate the grade scores for each influencing factor. These scores were then synthesized to derive the tunnel collapse risk index. The average value of the tunnel collapse risk index was analyzed to be 49.359 points. Future comparisons with section-by-section evaluation results of tunnel collapse risk will allow for the assessment of whether a specific section has a lower or higher collapse risk. This study provides a systematic method for quantitatively evaluating the key factors of tunnel collapse risk, thereby contributing to the prevention of collapse accidents during tunnel construction and the establishment of appropriate countermeasures. Future research is expected to enhance the reliability of the tunnel collapse risk index by incorporating more field data and improving the accuracy of tunnel collapse risk assessment based on this index.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.125-126
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• 2008

현재, 우리나라 당뇨병의 유병률은 빠른 속도로 증가하고 있으며 당뇨병의 유병기간이 길수록 각종 합병증이 발생하며 더욱 심각한 증세를 나타내기도 한다. 그 중, 비만 및 고혈당, 당대사장애로 인한 당뇨병성 혈관 합병증과 말초 혈관 경화증이 많이 발병하고 있는 실정이다. 본 연구에서는 광혈류량 측정법(Photoplethysmograaphy)으로 손가락에서 얻어진 맥파의 2차 미분 분석을 통해 당뇨병으로 확진된 36명의 당뇨병 환자에 대해 말초혈관 경화도를 연령별로 비교하고자 하였다. 이때 사용한 PPG 파형의 2차 미분 분석 평가 인자는 a와 d이고, d/a는 혈관의 경화도를 의미하며 경화도가 클수록 d/a의 값은 감소하게 되고, 연령이 증가할수록 경화도는 증가하게 된다. 50대 미만의 당뇨병 환자의 d/a값은 $-0.32{\pm}0.12$, 50대는 $-0.48{\pm}0.13$, 60대는 $-0.55{\pm}0.16$, 70대 이상에서는 $-0.59{\pm}0.19$로 연령이 높아질수록 d/a값이 감소하는 것을 확인하였다. 또한, SPSS 13.0 for Windows(SPSS Inc, USA)의 Oneway ANOVA 분석 결과, 연령과 경화도는 통계적으로 유의한 차이를 보였다(p<0.05). 하지만 70대 이상의 당뇨병 환자 그룹에서는 유의한 차이를 확인할 수 없었다. 본 연구에서는 PPG 파형의 2차 미분 분석을 통하여 연령별 당뇨병 환자의 말초혈판 경화도를 비교하였으며, 향후 보완 연구를 통해 비침습적이고 간단한 방법으로 당뇨병 환자의 말초혈관 경화도를 객관적으로 평가하고 진단할 수 있는 시스템 개발로 당뇨병 환자들의 심혈관계질환 사전예방과 치료효과 판정에 도움을 줄 것으로 기대한다.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.189-197
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• 2008

The present study purposed to assert the necessity of cultural property disaster control through analyzing the fire of the Sungnyemun and to suggest directions for the development of cultural property disaster control in the future. For these purposes, we reviewed literature such as research papers and books on cultural property disaster control, and presented problems in current cultural property disaster control and solutions for the problems through case study of the fire of the Sungnyemun. In a word, the fire of the Sungnyemun is a representative case showing difficulty in disaster prevention activities for wooden cultural properties. Accordingly, we need to recognize the necessity of cultural property disaster control and to prepare measures. For this, first, it is essential to reinforce preventive systems against cultural property disasters. Second, early actions should be taken in consideration of the characteristics of each cultural property. Third, for cultural property disaster control, it is important to maintain cooperative relations among the Cultural Properties Administration, National Emergency Management Agency, and relevant local self.governing bodies. Lastly, standards for cultural property fire protection systems should be tightened by improving related laws, and institutional bases should be intensified through preparing grounds for aggravated punishment for crimes against cultural properties such as arsons.