• 한국항행학회논문지
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• 제26권2호
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• pp.54-62
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• 2022

ICAO는 Annex 19(Safety Management)와 Doc 9859(Safety Management Manual)를 통해 데이터 기반 항공안전관리 및 의사결정 체계 구축을 권고하고 있으며, 이를 통해 생산된 항공안전정보를 산업 전반에 공유함으로써 안전성을 크게 향상할 수 있음을 강조하고 있다. 이에 따라 항공 선진국의 경우 다양한 항공안전데이터를 통합적으로 수집하고 분석하기 위한 인프라를 구축하고 있으며 식별된 주요 안전 이슈를 산업 전반에 전파하기 위해 노력하고 있다. 반면 우리나라의 경우 각 이해관계자가 업무 수행과정에서 수집할 수 있는 안전데이터를 개별적으로 관리·분석하여 활용하고 있어, 이를 통합적으로 활용하기에 제한이 있다. 또한, 현재 수행되고 있는 안전데이터 분석 결과 등 안전정보의 공유·활용 범위 또한 정부 차원의 안전관리에 치중되어 있어 산업 전반에 공유가 이루어지기에 부족함이 있다. 이에 따라 본 연구는 국내 항공안전정보의 공유·활용 방안을 제시하는 것을 목적으로 한다. 이를 위해 미국 FAA의 사례에 기반하여 국내·외 현황을 비교하고, 이를 통해 주요 개선방안을 제시하고자 한다.

• 한국항행학회논문지
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• 제26권6호
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• pp.528-535
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• 2022

항공기 제작 및 운송 기술 발달로 국내 항공산업은 비약적인 발전을 이루었으나, 항공안전 사고는 지속해서 발생하고 있다. 관리 감독기관에서는 위험기반 항공안전데이터를 기반으로 위해 요인과 위험도를 분류하고, 운송사업자별 안전 경향성 파악과 취약분야를 도출하여 사전점검을 수행함으로써 사건·사고를 사전 예방중에 있다. 그러나 자연어 형식으로 기술된 항공안전데이터의 휴먼 분류는 지식과 경험, 성향에 따라 서로 다른 분류 결과를 초래하고, 이벤트 내용의 의미 파악 및 분류를 위한 작업에 상당한 시간을 소요케 한다. 이에, 본 논문에서는 KoBERT 모델을 fine-tunning하고 5천 건 이상의 항공안전데이터를 기계학습 시켜 신규 데이터의 분류 값을 예측한 결과 79.2%의 정확성을 보였다. 그리고 유사 이벤트에 대해 동일한 결과 예측과 fail 된 데이터 중 일부는 휴먼 에러에 의한 오류임을 확인할 수 있었다.

• 자동차안전학회지
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• 제10권1호
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• pp.38-44
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• 2018

This paper presents an analysis on driving safety in lane change situation based on road driving data. Autonomous driving is a global trend in vehicle industry. LKAS technologies are already applied in commercial vehicle and researches about lane change maneuver have been actively studied. In autonomous vehicle, not only safety control issue but also imitating human driving maneuver is important. Driving data analysis in lane change situation has been usually dealt with ego vehicle information such as longitudinal acceleration, yaw rate, and steering angle. For this reason, developing safety index according to surrounding vehicle information based on human driving data is needed. In this research, driving data is collected from perception module using LIDAR, radar and RT-GPS sensors. By analyzing human driving pattern in lane change maneuver, safety index that considers both ego vehicle and surrounding vehicle state by using relative velocity and longitudinal clearance has been designed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 추계 학술논문 발표대회
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• pp.197-198
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• 2019

In this study, the study was conducted to derive the utility of the safety management system applying block chain technology and big data technology to improve the problems of construction sites where concealment and operation of safety accidents occur. If block chain technology and big data technology are applied to construction safety management, transparent data can be collected, and based on the collected data, it is possible to predict accidents that can occur at the construction site and establish countermeasures. It can also be an opportunity to strengthen the safety awareness of construction workers and managers, and can clearly identify the responsibility in the event of a safety accident. This study suggests that the application of the 4th Industrial Revolution technology could be a great opportunity to innovate the construction industry which is less than other industries.

• 한국정보통신학회논문지
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• 제20권4호
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• pp.739-746
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• 2016

철도 안전사고 예방을 목표로 하는 실시간 철도 안전관제 시스템에서는 DDS (Data Distribution Service) 표준 기술 기반의 데이터 전송 방안을 적용함으로 기존 현장의 안전검지장치로부터 발생한 데이터를 통합 및 관리하고 있다. 본 논문에서는 수많은 현장 데이터 중 일반철도 현장에서 발생한 신호설비 데이터 규격 설계를 소개하고 있다. 신호설비 데이터의 DDS 전송을 위하여 기존 표준 규격인 KRS SG 0062를 모델링하고, DDS 데이터 전송 단위인 Topic 설계 및 데이터 변환 방안을 제시하고, 데이터 성격 별로 네트워크 제어 QoS 정책 설계를 제시하고 있다. 또한 실제 현장 데이터를 분석하여 설계된 규격이 현장에 적용 가능한지를 확인해 보았다.

• 대한안전경영과학회지
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• 제17권3호
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• pp.89-96
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• 2015

The study was conducted with statical analysis of data (828 data in 2010, 752 data in 2012, 648 data in 2014) in order to evaluate laboratory awareness difference of research employees working in different types of universities. Results of the study were as follows: First, university institutes in the order of polytechnic colleges, university, and junior college showed the highest laboratory safety awareness in 'awareness and education of laboratorial safety regulation' and 'awareness in laboratory risk factors'. Second, the difference in safety awareness of universities by year(years that conducted current status survey) was the highest in year 2014, then in 2010, and in 2008. Third, the difference of research employees working for laboratory safety management by year(years that conducted current status) showed that university had the highest laboratory safety awareness in year 2010, but it changed to polytechnic colleges in year 2012 and 2014. Through this study, we could recognize the difference in safety awareness of research employees working in university institutes.

• 한국안전학회지
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• 제35권1호
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• pp.79-86
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• 2020

Failure data that has systematically managed for a long time has high reliability to an estimated volume. But since much cost and effort are needed to secure reliability data, data from overseas country is used in quantitative risk analysis in many workplaces. Reliability of the data that can be collected in workplaces can be dropped because of insufficient sample or lack of observation time. Therefore, estimated data is difficult to use as it is and environment and characteristic of the workplace cannot be reflected by using data from overseas country. So this study used Bayesian method that can be used reflecting both reliability data from overseas country and workplace failure data that has less samples. As a setting toward difficult situation that securing sufficient failure data cannot be achieved, we composed workplace failure data equivalent to mass observation time 20%(t=17000), 40%(t=24000), 60%(t=31000), 80%(t=38000) and IEEE data by using Bayesian method.

• 대한안전경영과학회지
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• 제14권4호
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• pp.107-116
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• 2012

The issues raised so far in the development of safety-critical systems have centered on how effectively the safety requirements are met in systems design. The systems are becoming more complex due to the increasing demand on the functionality and performance. As such, the integration of both the systems design and systems safety processes becomes more important and at the same time quite difficult to carry out. In this paper, an approach to solving the problem is presented, which is based on an integrated data model. To do so, the data generated from the inputs and outputs of the systems design and systems safety processes are analyzed first. The results of analysis are used to extract common attributes among the data, thereby making it possible to define classes. The classes then become the cores of the interface data model through which the interaction between the two processes under study can be modeled and interpreted. The approach taken has also been applied in a design case to demonstrate its value. It is expected that the results of the study could play a role of the stepping stone in extending to the architecture development of the integrated process.

• Korean Journal of Geomatics
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• 제4권1호
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• pp.17-22
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• 2004

It is very important to manage efficient data for safety and maintenance of those constructs. Estimation for structural safety can be evaluated by using data that surveys various structural durability and safety elements. so, it should be based on synthetic and efficient data that includes a variety of related safety elements obtained from a structure. It will subsequently be managed properly and economically. Accordingly, we will approach efficient maintenance management using a Geographic Information System (GIS) with data from structural-safety diagnosis and a Global Positioning System (GPS). In this study, we noted that by using the data that measures the factors (crack, incline, settlement etc.) of various structures as evaluate safety degree. And the horizontal coordinate variation/time of structure was monitored using the GPS easily.

• 한국항해항만학회지
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• 제38권3호
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• pp.203-209
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• 2014

As a sense of practical field, most researchers emphasize the importance of safety management to prevent marine accidents. The purpose of this paper is to develope a new safety evaluation method using Safety Index (SI) which is to measure the emotional feeling of navigation officer by traffic situations. In this study, the questionnaires with SI are used to investigate the degree of sensing levels of navigation officers according to the navigation situations. In addition, the traffic data obtained from AIS (Automatic Identification System) data are used to give actual situations in the questionnaire investigation. As results of questionaries investigations based upon the AIS data, it is shown that the Safety Index can be used as a criterion to determine the safety levels of ship navigating in a coastal areas.