• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.311-326
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• 2023

This paper proposes a plan to improve the installation and operation of traffic safety facilities using a microscopic simulation by confirming the difference in the perception method and range of autonomous vehicles and human vehicles. In this study, the existing 『Traffic Safety Sign Installation·Management Guidelines』 was reviewed, and safety signs among traffic safety facilities were classified according to changes in vehicle behavior. Subsequently, for the classified facilities, the installation location of the traffic sign was changed through simulation experiments, and the optimal location was inferred to suggest an improvement plan. This study confirmed how traffic safety facilities installed based on the visibility of human drivers affect road efficiency and safety in mixed traffic flow with autonomous vehicles and human-controlled vehicles. The optimal location derived through this study is meaningful because it can be used as the basis for revising the guidelines on the installation and management of traffic safety facilities.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.253-254
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• 2010

본 논문에서는 최근 널리 보급되고 있는 스마트폰을 활용하여, 재난발생의 예방 대비 대용 북구 단계에서 국민의 안전 및 공공기관의 효율적 재난업무를 위한 방재정보 서비스를 제안한다. 이에 따라 본 서비스의 수요 대상을 공공기관 및 민간으로 구분하여 총 4가지 범주에 대해 기술의 역할을 설정하였고, 이를 바탕으로 스마트폰을 활용한 방재정보서비스의 35가지 세부기술을 구상하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.66-67
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• 2020

대한민국은 정부의 지원 아래 해기사 양성을 위한 교육훈련이 체계적으로 이루어지고 있다. 특히 다른 나라와는 달리 실습을 목적으로 설계-건조된 고가의 신조 실습선을 제공함으로써 실습생의 안전 확보와 효율적인 실습이 가능하도록 지원하고 있다. 이러한 제도에 의하여 최근 몇 척의 실습선이 퇴역하였으나, 이러한 퇴역 실습선에 대한 활용 방안은 정립되어 있지 않다. 이에 퇴역 실습선의 현황과 문제점을 고찰하고 이를 토대로 효율적인 활용을 위한 방안을 제시한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.307-309
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• 2023

본 논문에서는 LSTM Autoencoder를 활용한 전동기의 Anomaly Detection을 제안한다. 전동기의 Anomaly Detection를 통해 전동킥보드의 고장을 예방하여 이용자의 안전을 보장한다. 전동기로부터 얻은 시계열 진동 데이터와 시계열 데이터 분석에 유의미한 LSTM을 활용한 Autoencoder를 통해 Anomaly Detection을 구현했다. 그 결과 99.9%의 정확도를 기록하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.499-500
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• 2023

본 논문에서는 Docker를 활용하여 코드 테스트 API를 활용한 코딩 테스트 웹 사이트를 구현한 결과를 보인다. 코드 테스트에서 다양한 언어 지원을 위해 Dockerfile 템플릿을 개발하여 언어의 다양성을 확보하고 Docker를 이용하여 격리된 환경에서 코드를 실행하고 평가하여 안전하고 효율적으로 채점을 수행한다. Docker의 curl[1]를 이용해 실시간으로 서버와 통신을 통해 결과를 전송한다. 이를 통해 사용자는 작성한 코드에 대한 평가를 실시간으로 피드백 받을 수 있다.

• Journal of the Korean Society for Railway
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• v.11 no.5
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• pp.441-448
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• 2008

Increasing urban sprawl and climate changes have been causing unexpected high-intensity rainfall events. Thus there are needs to enhance conventional disaster management system for comprehensive actions to secure safety. Therefore long-term and comprehensive flood management plans need to be well established. Recently torrential snowfall are occurring frequently, causing have snow traffic jams on the road. To secure safety and on-time operation of the Bi-modal tram system, well-structured disaster management system capable of analyzing the show pack melt/freezing due to unexpected snowfall are needed. To secure safety of the Bi-modal tram system due to torrential snow-fall, the snow melt simulation capability was investigated. The snow accumulation and snow melt were measured to validate the SWMM snow melt component. It showed that there was a good agreement between measured snow melt data and the simulated ones. Therefore, the Bi-modal tram disaster management system will be able to predict snow melt reasonably well to secure safety of the Bi-modal tram system during the winter. The Bi-modal tram disaster management system can be used to identify top priority area for know removal within the tram route in case of torrential snowfall to secure on-time operation of the tram. Also it can be used for detour route in the tram networks based on the disaster management system prediction.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.237-243
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• 2019

Floating platforms made of PE (PolyEthylene) are often located in shallows of seas, rivers or lakes. They are widely used for marine pensions, marine pontoons, marine bridges, etc. These products are characterized by good flexibility, recyclability, chemical resistance and weatherability with corrosion resistance. Existing PE floating platforms have a simple structure in which one pipe is fastened to one bracket, but this has limited application, even if a user modifies the arrangement. Therefore, we developed a structure that allows buoyancy pipes of various sizes to be fastened to one bracket and verified the structural safety of the product using the finite element method. From the results of structural analysis for buoyancy pipes of different diameters, the maximum stress ratio was 0.78 compared with allowable criteria of 1.0, which represented sufficient safety for a model with 500 mm diameter pipes. Based on the results of this study, further research to evaluate the structural safety of various floating platforms can be carried out in the further; it will also be necessary to establish related evaluation criteria.

• Journal of Korean Society of Disaster and Security
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• v.10 no.1
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• pp.67-74
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• 2017

Drone technology has been used in various fields including personal hobby, pesticide application and shipping etc. However, only few drone technologies are used in restricted fields such as transportation of alimony goods and utilization of video because of the limited utilization aspect of disaster management field. Especially, disaster specialists' the lack of understanding of the drones seems to increase the difficulty of activating drone technology in disaster management. The theme of the thesis aims to share outline of drones' control method and education plan. This project also analysis the reasons why drone has not been used in disaster management with the fact that drone can be a vital part of emergency management. We propose improved application plan to use drone technology and future development direction in disaster management by deriving problems in terms of institutional aspects(regulation and education) and sensor-based application problems camera, thermal camera, infrared sensor, RFID.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.50-56
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• 2021

This study examines 3D scanning and how it is used in the construction field. 3D scanning technology was applied to a real space and compared with drawings in the planning and construction stages. 3D scanning technology has been widely applied in the field of construction, design, construction, and safety. The results of comparing 3D scanning data with drawings are as follows. First, the external shape and dimensions do not show much difference. Second, the internal shape and dimensions are different. Third, indoor lighting layouts are different in all buildings. 3D scanning should be an essential element in the construction stage before completion and should be used for supervision tasks such as material management, improving the efficiency of construction, and safety management through continuous 3D scanning using automation and robots. Follow-up studies in the field of architecture, such as BIM and process management, will be needed.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.279-286
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• 2021

In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.