• Convergence Security Journal
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• v.13 no.4
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• pp.61-68
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• 2013

Compared to the past, the number of disabled people in Korea is continuing to increase. As for the scope of the disability, it is expanding as well since it now includes all types of illnesses, car accidents, complications resulting from aging, industrial accidents and others accidents. Attempts are made in terms of applying sports game method that grafts IT technology in order to ensure that the disabled people participate continually in sports. While casting away the notion of play which was the role of a game in the past, new roles and domains were developed. In fact, serious game genre is what leads this change. Because serious game is leading the game industry fast, centered on education, sports, fitness and medical use, its market value can be considered very significant since it can be both fund and effective as it targets the disabled who cannot enjoy sports easily in reality. Accordingly, this research seeks to present the direction for the application of serious game for the disabled people by analyzing the current situation pertaining to the integrated and converged cases applied to the field of sports for the disabled when it comes to the serious game that uses contents based on the IT technology.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.155-162
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• 2010

Elderly pedestrians account for more than 30% of all deaths in traffic accident and the number of elderly-related traffic accidents are increasing every year. Considering Korea's quickly aging society, drastic measures must henceforth be taken. Taking notice of the elderly living in and moving around the provinces, this research focused on analyzing the characteristics of elderly pedistrians' traffic accidents on provincial roads and developing an Equivalent Property Damage Only (EPDO) model. The authors collected 720 traffic accident data points from the police agency and developed the EPDO model, weighted differently by light injury, severe injury, and death using Multiple Regression Analysis. As a result, the speed of vehicles is the most influential variable in EPDO, and the shape of the road is significant as well. Therefore, various policies should be established like improving the environmental factors of provincial roads, like expanding speed-reduction treatments and signage, and setting up detours around areas of high elderly concentration.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.187-193
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• 2018

There has been a gradual increase in the demand for the electric power in Korea. In order to meet the demand, power station should have technical functions with increased effectiveness. When accident happens in electric machinery at power stations, huge amount of economic losses and mulfunction of equipments occur. One of the accidents is a deteriorated cables operating power stations. In order to prevent cable accident in advance, we should monitor the insulation status of the cable. Cable accidents are resulting from the junctions. We have developed and installed a device in order to identify the status of junction part of power cable at Korea Western Power Co., Ltd.. We performed an accurate diagnosis for the stable utilization of junctions where the accidents occurs most frequently, and to increase the reliability. In this paper, we present the concepts of our device and the method of monitoring diagnosis for the stable use of junctions at cables predicting the life time of cables by analyzing the data obtained by the device. We also present the hardware aspect of the device we have developed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.113-118
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• 2019

A solar power plant is a facility that produces electricity. As the risk of fire and electric shock accidents is diversified, the risk of workers, surrounding people, and facilities is increased, preventing safety accidents and promptly responding to safety accidents Is emerging. In light of the necessity of such development, it is necessary to develop a solar power generation management system that can diagnose and maintain the problems of the power generation system in real time by developing technologies for collecting and analyzing the data produced by the solar power generation system As a result, the utilization rate and the maintenance cost can be reduced. In order to do this, it is necessary to accurately predict the solar power generation amount in the present state, to diagnose the abnormality of the current power generation state and to grasp the abnormal position, and to use the model considering economical efficiency when the abnormal position is grasped, And the time and other information should be provided.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.118-127
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• 2021

In spite of various safety measures, coastal safety accidents continue to occur, so this study focused on using drones as countermeasures. Municipalities that already have coasts have begun operating unmanned multicopters for coastal safety management. In particular, by connecting an unmanned multi-copter to the currently applied smart city safety net system, it is possible to transmit real-time images of the scene in case of emergency in the coastal area to the local government safety information center. It is also expected to contribute significantly to strengthening safety management in coastal waters through a more rapid response to safety accidents. Therefore, in this paper, we propose the use of drones as an alternative to the limitations of the domestic coastal safety system by investigating the state of coastal safety accidents and analyzing the state of domestic coastal safety systems. In addition, it is expected to be a key breakthrough in the coastal area safety system by proposing a model linking the Korean K-Drone system.

• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.256-266
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• 2021

Domestic and foreign studies point to human factors as the main cause of unmanned aerial vehicle accidents, and HFACS is introduced as a technique to effectively analyze these human factors. Until now, domestic and foreign cases of analyzing the human factors of unmanned aerial vehicle accidents using HFACS were mainly targeted by military unmanned aerial vehicles, which can be used as an objective cause identification and similar accident prevention tool. In particular, identifying the focus of HFACS application considering the performance and operation conditions of domestic civilian unmanned aerial vehicles is expected to greatly help identify the cause and prevent recurrence in the event of an accident. Based on HFACS version 7.0, this study analyzed the accident investigation report data conducted by Korea Aviation and Railway Accident Investigation Board to identify the focus of HFACS application that can be used for domestic civilian unmanned aircraft accident investigations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.827-833
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• 2022

This study aims to prevent secondary traffic accidents with high severity by overcoming the limitations of existing traffic information collection systems through analysis of traffic information collection detectors and various algorithms used to detect unexpected situations. In other words, this study is meaningful present that analyzing the 'unexpected situation that causes secondary traffic accidents' and 'Existing traffic information collection system' accordingly presenting a solution that can preemptively prevent secondary traffic accidents, intelligent traffic information collection system that enables accurate information collection on all sections of the road. As a result of the experiment, the reliability of data transmission reached 97% based on 95%, the data transmission speed averaged 209ms based on 1000ms, and the network failover time achieved targets of 50sec based on 120sec.

• Journal of Platform Technology
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• v.9 no.4
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• pp.90-96
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• 2021

Most of the vehicles currently under development and in operation are equipped with various IoT sensors, but some of the factors that cause car accidents are relatively difficult to detect. One of the major risk factors among these factors is black ice. Black ice is one of the factors most likely to cause major accidents, as it can affect all vehicles passing through areas covered with black ice. Therefore, black ice detection technique is essential to prevent major accidents. For this purpose, some studies have been carried out in the past, but unrealistic factors have been reflected in some parts, so research to supplement this is needed. In this paper, we tried to detect black ice by analyzing color images using the CNN technique, and we succeeded in detecting black ice to a certain level. However, there were differences from previous studies, and the reason was analyzed.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.457-469
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• 2022

Purpose: The purpose of this study is to present the direction of improvement of safety management by reviewing the current status of forest fire accidents that are becoming larger throughout the year and the problems of the response system. Method: Domestic and foreign literature survey and statistics of recent forest fire accidents by Statistics Korea investigated and analyzed the cause, number of damage, and suggested ways to improve forest fire safety management through domestic and foreign forest fire response systems. Result: Through the analysis of the causes of recent wildfires and overseas response cases, measures to improve the safety management of wildfires in terms of hardware, software, and humanware were derived. Conclusion: The plan to improve forest fire safety management was classified into three main categories and presented, and it should be embodied through further related research.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.719-728
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• 2023

Purpose: Mobile cranes are machines that contribute to high mortality, and the High Risk Factor (SIF) information, which analyzed 2,574 accidental deaths in the construction industry in the past 6 years (2016~2021), resulted in a total of 61 mobile crane accidents. Despite safety measures in the field, it is not used properly. In this study, we present standard risk assessment indicators that contribute to accident prevention. Method: Through expert interviews, fatal accident case analysis, field analysis, and literature research, we present the standard risk assessment index method of the 4M risk assessment method. Result: As a result of analyzing the risk assessment of eight sites, it was concluded that it cannot make a significant contribution to disaster prevention and should be applied as an improvement measure of the Standard Risk Assessment Index Law. Conclusion: Switching to the standard risk assessment index method at construction sites has been proposed to make it easier for health and safety personnel and workers to use, contributing to the reduction of accidents.