• Journal of the Korea Safety Management & Science
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• v.9 no.2
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• pp.97-111
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• 2007

In risk assessment, there are several methods such as Safety Review, Checklist, FMEA(Failure Mode and Effect Analysis), FTA(Fault Tree Analysis), ETA (Event Tree Analysis) etc, however, the level of accident is indentified by the probability of accident and severity resulting from accident which used widely in assessing accidents and disasters. In this paper, the risk assessment method to decide the level of risk will be introduced by using severity, frequency and detection according to accident theory.

• IE interfaces
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• v.2 no.2
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• pp.1-13
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• 1989

In this study, we have developed the personal computer-based industrial accident information management system(AIMS) which produces the industrial accident reports, various statistical reports and graphic charts such as pie, bar and trent charts. Recognizing the fact that computer systems are an integral part of today's business environment, the computerized industrial accident information management system serves as tools to help safety professionals accurately and rapidly obtain the information necessary to make decisions. The system can be used for the prevention of industrial accidents by early detection of potential hazards and by scientific and systematic analysis of causal factors.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.32 no.6
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• pp.512-515
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• 2019

Overhead contact systems (OCS) consist of contact and messenger wires, in which the contact wire supplies electric energy to the railway vehicle by contacting a pantograph. However, this mechanical contact is interrupted during frosts or temperatures below $0^{\circ}C$ in the winter. In these conditions, railway vehicle accidents can occur during operation because of the low energy efficiency that results from the increase in the arcing between the contact wire and pantograph. Therefore, the detection of frost or freezing temperatures is necessary to maintain the stable operation of these trains. In this study, we proposed the development of a frost or freezing condition monitoring system on the OCSs that utilizes wireless communication.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.63-76
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• 2017

This thesis provides background information on DFS carried out by the government in an effort to reduce the accident rate, cases of DFS in other advanced countries to study their risk detection, risk assessment, risk control measures, and cases in which application of DFS during the designing phase succesfully led to reduction of the accident rate. Till now, the focus has been on incident responses after the occurance of accidents, it describes the importance of considering safety during the desining process through safety results and cases.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.344-358
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• 2019

Surveillance cameras have installed in many places because security and safety is becoming important in modern society. Through surveillance cameras installed, we can deal with troubles and prevent accidents. However, watching surveillance videos and judging the accidental situations is very labor-intensive. So now, the need for research to analyze surveillance videos is growing. This study proposes an algorithm to track multiple persons using SURF and background subtraction. While the SURF algorithm, as a person-tracking algorithm, is robust to scaling, rotating and different viewpoints, SURF makes tracking errors with sudden changes in videos. To resolve such tracking errors, we combined SURF with a background subtraction algorithm and showed that the proposed approach increased the tracking accuracy. In addition, the background subtraction algorithm can detect persons in videos, and SURF can initialize tracking targets with these detected persons, and thus the proposed algorithm can automatically detect the enter/exit of persons.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.6079-6097
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• 2018

Safety-related systems (SRSs) has widely used in shipbuilding and power generation to prevent fatal accidents and to protect life and property. Thus, SRS performance is a high priority. The safety integrity level (SIL) is the relative performance level of an SRS with regard to its ability to operate reliably in a safe manner. In this article, we proposed an optimal design procedure to achieve the targeted SIL of SRSs. In addition, a more efficient failure mode and effects diagnostic analysis (FMEDA) process and optimization model were developed to improve cost efficiency. Based on previous IEC 61508 diagnostic analyses that revealed unnecessary costs associated with excessive reliability, the new approach consists of two phases: (i) SIL evaluation by FMEDA, and (ii) solution optimization for achieving the target SIL with minimal cost using integer-programming models. The proposed procedure meets the required safety level and minimizes system costs. A case study involving a gas-detection SRS was conducted to demonstrate the effectiveness of the new procedure.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.59-66
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• 2019

According to the KT telecommunication statistics, people stayed inside their houses on an average of 11.9 hours a day. As well as, according to NSC statistics in the united states, people regardless of age are injured for a variety of reasons in their houses. For purposes of this research, we have investigated an abnormal event detection algorithm to classify infrequently occurring behaviors as accidents, health emergencies, etc. in their daily lives. We propose a fusion method that combines three classification algorithms with vision pattern, audio pattern, and activity pattern to detect unusual user events. The vision pattern algorithm identifies people and objects based on video data collected through home CCTV. The audio and activity pattern algorithms classify user audio and activity behaviors using the data collected from built-in sensors on their smartphones in their houses. We evaluated the proposed individual pattern algorithm and fusion method based on multiple scenarios.

• KEPCO Journal on Electric Power and Energy
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• v.8 no.2
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• pp.93-96
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• 2022

The boiler tubes of thermal power plants are exposed to harsh environment of high temperature and high pressure, and the deterioration state of materials rapidly increases. In particular, parent material and welds of the materials used are subjected to a temperature change and various constraints, resulting in deformation and its growth, resulting in frequent leakage accidents caused by tube failure. The power plant checks the integrity of boiler tubes through non-destructive testing as it may act as huge costs loss and limitation of power supply during power station shutdown period due to boiler tube leakage. However, the current non-destructive testing is extremely limited in the field to detect micro cracks. In this study, the ability of metal magnetic memory technique to detect flaws of size that are difficult to inspect by the visual or general non-destructive methods was verified in the early stage of their occurrence.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.688-689
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• 2022

This paper proposes the development of an AI drone equipped with motion detection and thermal imaging camera to quickly rescue people from drowning accidents. Currently, when a drowning accident occurs, a large number of manpower must be put in to find the person who needs it, such as conducting a search operation. The time required for this process is too long, and especially the night search is more difficult for a person to do directly. To solve this situation, we are going to use AI drones.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.996-999
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• 2020

노후 선박의 증가로 선체 검사의 필요성이 높아지고 있다. 하지만 선체 벽면의 균열을 찾고 보수하는 작업은 위험성이 높고 효율성이 낮다. 이에 본 논문에서는 선체의 벽면에 진공 흡착하여 장애물에 부딪히지 않고 선체 벽면을 이동하면서 균열을 탐지하는 로봇을 개발하였다. 선체 균열탐지 로봇은 선체뿐만 아니라 사람이 직접 균열을 찾기 힘들거나 위험한 곳에 유용할 것이며 균열로 인한 선박 사고 발생을 줄여줄 것으로 기대된다.