• Journal of the Korean Institute of Gas
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• v.28 no.3
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• pp.95-104
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• 2024

In this paper, accidents caused by humans are collectively referred to as human error accidents. According to Korea Gas Safety Corporation's GIMS(Gas Incident Management System), which compiles gas accident statistics, 5,756 human error accidents occurred over the 32 years since 1990, accounting for 89% of all gas accidents(6,420 cases). By type of personnel, there were 1,630 cases of construction errors in installation(lack of blocking measures, etc.), 1,408 cases of user negligence, 947 cases of intentional accidents, 636 cases of supplier negligence, 347 cases of accidents involving other construction workers, and 338 cases of simple leaks. Overheating fires accounted for 218 cases, followed by traffic accidents with 184 cases. During the same period, the number of casualties due to human error accidents was 7,429(564 deaths, 4,691 injured), accounting for 89% of the 8,363 casualties from all accidents. This paper analyzes trends in the occurrence of gas accidents caused by human errors, draws implications, and suggests prevention measures to use as reference material to prevent recurrence of similar accidents and establish accident prevention plan.

• Journal of Korean Society of Disaster and Security
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• v.12 no.4
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• pp.27-41
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• 2019

To analyze the effectiveness of the safety e-reporting system, the present study carried out analysis of safety e-reporting data reported between September 2014 and July 2019, and selected items for measuring the effectiveness of safety e-reporting. Using these items, the effects of adopting the reporting system for the four major parking violations was analyzed, alongside an analysis of effects in terms of traffic accidents using the unit model. When we count the securement of the tax revenue through measures such as charging fines as the beneficial factor per case, the estimation of the benefit is around 62,000 KRW per case. Summing the two factors up, the total value of citizen's reports pertaining to the big four parking violations is about 275,000 KRW per case. Most of the reports made through the Safety e-Report system are about traffic and facilities. When we calculate the total annual benefit with the representative reporting value defined with traffic and facilities, the system received a total of 1,164,439 cases from 2014 to 2019, while citizens reported 52,721 cases for the big four parking violations from April to July 2019. As the value of a safety report is around the net benefit for last five years is around 27,340,000,000 KRW.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.607-612
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• 2015

As the amount of vehicle's diagnostics data increases, the actors in automotive ecosystem will encounter difficulties to perform a real time analysis in order to simulate or to design new services according to the data gathered from the connected cars. In this paper, we have conducted a study of a Big Data solution that expresses the essential deep analytics to process and analyze vast quantities of vehicles on board diagnostics data generated by cars. Hadoop and its ecosystems have been deployed to process a large data and delivered useful outcomes that may be used by actors in automotive ecosystem to deliver new services to car owners. As the Intelligent transport system is involved to guarantee safety, reduce rate of crash and injured in the accident due to speed, addressing big data solution based on vehicle diagnostics data is upcoming to monitor real time outcome from it and making collection of data from several connected cars, facilitating reliable processing and easier storage of data collected.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.192-202
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• 2021

In the past, various studies have been conducted on safety facility installation standards and road safety indices. But there are limitations in applying them to the field, such as using many survey items and variables that are difficult to use. Therefore, this study attempted to develop road safety judgment indicators considering the applicability of the research results and to prepare criteria for installing safety facilities. As part of the study, data of related systems were reviewed, and the use of variables already in use was figured out. Furthermore, the road safety judgment indicators reflecting traffic, road, and accident factors were developed through correlation and factor analysis. Later, the criteria score for determining the installation of safety facilities was derived through cluster analysis. The analyses suggested, that the installation judgment criterion score at the intersection was lower than that of the single road(crosswalk), and the road risk at the intersection was higher.

• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.135-141
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• 2017

Recently, as elderly people suffering from chronic diseases have increased and disasters such as traffic accidents have increased, urgent rescue workers and doctors need to respond effectively to such emergencies. For elderly people, the difficulty in communicating their condition especially the health condition during disaster is one of the problems in which delay on immediate handling by rescue team can cause death. Providing a solution for this problem is one of the main issues in our research. In this paper, we use the QR code to communicate the minimum personal information and medical history needed for emergency medical treatment to emergency medical personnel, and to transmit the medical history and treatment data to the doctors of the hospital through QR code and fingerprint recognition, respectively. Especially, by using both QR code of smart phone and fingerprint of individual, we can protects personal information and strengthens privacy and security of medical information by allowing only authorized physicians to check medical records of the old patient.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.858-862
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• 2018

The purpose of this study is to improve the current vessel departure control regulations to prevent traffic congestion after the lifting of vessel departure controls due to restricted visibility. AIS data was collected to analyze the traffic volume of normal traffic flow and after departure control. A statistical test was conducted to confirm the difference in traffic volume at peak hours according to whether or not departure control was used. The results of the t-test showed that there was a significant difference in traffic volume among groups of less than 10,000 tons in gross tonnage. However, the Mann-Whitney test showed no difference in traffic volume regardless of vessel control. Small and medium-sized vessels of less than 10,000 tons after departure control increased in traffic volume by 142% over normal traffic, and it was concluded that traffic congestion resulted as these small and medium-sized vessels were departing at the same time as large vessels of more than 10,000 tons. In order to prevent vessel collision accidents due to traffic congestion, it is suggested that the navigability of vessels less than 160 m or less than 10,000 tons should be improved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1449-1454
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• 2015

Virtualization lacks capabilities for enabling the application to scale efficiently because of new applications components which are raised to be configured on demand. In this paper, we propose an architecture that affords mobile app based on nomadic smartphone using not only mobile cloud computing-cloudlet architecture but also a dedicated platform that relies on using virtual private mobile networks to provide reliable connectivity through LTE(Long Term Evolution) wireless communication. The design architecture lies with how the cloudlet host discovers service and sends out the cloudlet IP and port while locating the user mobile device. We demonstrate the effectiveness of the proposed architecture by implementing an android application responsible of real time analysis by using a vehicle to applications smartphone interface approach that considers the smartphone to act as a remote users which passes driver inputs and delivers outputs from external applications.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.39-40
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• 2019

우리나라는 국제해사기구(IMO)에 "여객선 탈출지도체계의 기술개발에 관한 정보"라는 안건(IMO SSE4/INF2)을 2017년에 제출한 바 있다. 이 의제에 소개된 지능형 선박 및 인명대피 안내시스템(SEGA)은 한국해양과학기술원의 주관으로 한국해양수산부의 지원을 받아 2016년부터 2020년 3월까지 약 4년간의 프로젝트로 개발 중에 있다. SEGA는 데이터 수집과 분석, 정보 표시의 프로세스를 자동화하여 우리나라 연안에서 항해 중인 선박에 비상상황이 발생할 경우 항해자의 의사결정을 지원하는 시스템이다. SEGA 시스템을 지원하기 위해 구축된 SEGA 서버와 데이터베이스는 해양기상정보, 수심정보, 해상교통정보를 처리 한다. 또한 비상상황 시 2차 사고를 방지하기 위해 선박이 대피 할 수 있는 장소에 대한 정보를 사용자가 확인할 수 있도록 알고리즘이 설계되어 있다. 인명안전을 위해 SEGA는 비상상황 시 선박내부 구조정보와 화재 등 변수사항들을 고려하여 승객들에게 빠른 탈출을 위한 최적대피경로를 제공하며, 원격탐사기술을 이용하여 선박주변의 익수자를 탐지하도록 개발 중에 있다. 보다 상세한 내용은 항해항만학회 VTS 특별세션에서 발표할 예정이다.

• Journal of Digital Convergence
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• v.10 no.7
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• pp.161-166
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• 2012

When a car accident happened on a highway, the accident vehicle should broadcast a safe message to its neighbors in order to prevent a chain-reaction collision. Also, there is a problem that the estimation accuracy is low because of the memory limit from increasing the sampling count. In this paper, we proposes a HVC systems using a back-off algorithm applied to a gaussian model. And we proposes a MAC protocol preventing the communication delay by separating the neighbor count collection channel, data channel, and RSU communication channel. As a result, we show the frame reception success rate of our protocol improved about 10% than the previous protocol.