• Information and Communications Magazine
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• v.26 no.8
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• pp.8-13
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• 2009

본고에서는 실내 외 환경에서 고령자의 행위를 모니터링 하고 행위를 추적하여 위급상황 발생 시 이를 감지하고 이를 RF, Zigbee, Bluetooth 등의 다양한 무선 통신 기법을 통해 경고하는 위급상황 경고 시스템(PEAS : Personal Emergency Alarming System)에 대해 고찰한다. 특히 시스템에 사용된 다양한 통신 방법의 장단점을 비교/분석하여 다양한 위급상황 감지 시스템의 요구사항에 적합한 통신 방법에 대해 논의하고자 한다.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.2
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• pp.199-208
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• 2004

In this paper, we propose and implement SIA System for filtering redundant alert messages and dividing them into four statuses. Also, we confirm that our system can find and analyze vulnerability types of network intrusion by attackers in a managed network, so that it provides very effective means for security managers to cope with security threats in real time.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.315-318
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• 2014

재난은 사전 경고도 없이 빈번하게 발생하는 자연 재해, 교통사고, 그리고 범죄와 같은 사회적 재난이다. 재난을 충분히 대비 할 수 있고 피해를 줄일 수 있는 한 방안으로 통신기술 연구가 활발히 진행되고 있다. 허버트 윌리엄 하인리히는, 큰 사고는 우연히 또는 어느 순간 갑작스럽게 발생하는 것이 아니라 그 이전에 반드시 경미한 사고들이 반복되는 과정 속에서 발생한다는 것을 실증적으로 밝힌 것으로, 큰 사고가 일어나기 전 일정 기간 동안 여러 번의 경고성 징후와 전조들이 있다는 사실을 입증하였다. 때문에 언제 어디서나 일어날지 예상 할 수 없는 상황에서 재난 재해를 대비하기 위한 방안이 필요하다. 본 논문에서는 사용자가 특정 건물이나 위치에서 재난감지장치 센서를 배치하여 현재 상황을 정보를 표현하고, 임베디드 상황 정보 분석과 해석을 통해 구현 하고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.55-62
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• 2015

In this paper, we proposed the method that enabling warning through real-time analysis of dangerous driving behavior, improving driving habits and safe driving using the digital tachograph. Most of traffic accidents and green drive are closely related of driving habits. These wrong driving habits need to be improved by the real-time analysis, warning and automated method of driving habits. We confirmed the proposed that the method will help support eco-driving, safe driving through real-time analysis of driving behavior and warning through the method implementation and experiment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.18-20
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• 2019

In this paper, in order to prevent accidents when deviating from the lane during high-speed self-driving, we are going to design a warning system that will sound an alarm after recognizing the surrounding situation with a $360^{\circ}$ camera. Accidents often occur while driving on self-driving cars because they try to change lanes excessively or fail to recognize people, animals and objects that appear suddenly when driving at high speeds. The government wants to identify the surrounding situation with cameras when driving off a lane during high-speed autonomous driving, and to create a car that sounds a warning system through a lane departure sensor on the underside of the vehicle to reduce various accidents that occur during self-driving and to have a safer driving system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.425-426
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• 2023

지난 5년 (2016~2020년) 간 고속도로 교통사고 사망자 1,035명 중 약 70%(722명)가 졸음 및 주시 태만으로 인해 발생하였다. 졸음운전 사고를 예방하기 위해 졸음 쉼터나 휴게소 등이 있지만 활용률이 높은 편은 아니다. 해당 문제 해결을 위해 본 논문에서는 자동차 내부에서 즉각적으로 졸음을 판별해 알람을 제공하는 알람 기능을 구현하였다. 차량에 웹캠과 CO₂ 농도 측정기를 설치하여 웹캠으로는 운전자의 눈 종횡비를 계산하여 졸음을 판단하고 CO₂ 센서로 차량 내부 CO₂ 농도를 측정하여 운전자의 졸음을 판단하여 경고음과 음성 경고 메시지를 출력함과 동시에 창문 개폐 기능으로 잠을 깨워주기 때문에 교통사고 발생률 저하에 기여할 것으로 기대된다.

• Journal of Korean Electronics
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• v.23 no.10
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• pp.15-17
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• 2003

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.6
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• pp.481-489
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• 2017

Situation awareness means recognizing everything necessary to understand progress in a flight or aircraft maintenance work. Situation awareness is based on more than simply recognizing important about the environment, and it is important to provide the meaning of information in an integrated form. The KHP provides the pilot with integrated situation display for an integrated form of situation awareness and warning that synchronizes the priority based audible signal with the visual signal. Provide integrated display and warning to reduce operator error and enable operators to focus on mission critical tasks and events. This paper introduces the integrated situation display and warning design implemented in the KHP.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.157-166
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• 2008

This study proposed a model to estimate traffic accident likelihood using real-time traffic data obtained from freeway traffic surveillance systems. Traffic variables representing spatio-temporal variations of traffic conditions were utilized as independent variables in the proposed models. Binary logistics regression modelings were conducted to correlate traffic variables and accident data that were collected from the Seohaean freeway during recent three years, from 2004 to 2006. To apply more reliable traffic variables, outlier filtering and data imputation were also performed. The outcomes of the model that are actually probabilistic measures of accident occurrence would be effectively utilized not only in designing warning information systems but also in evaluating the effectiveness of various traffic operations strategies in terms of traffic safety.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1693-1700
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• 2012

Recently, the warning system to aid drivers for safe driving is being developed. The system estimates the distance between the driver's car and the car before it and informs him of safety distance. In this paper, we designed and implemented the collision warning system which detects the car in front on the actual road situation and measures the distance between the cars in order to detect the risk situation for collision and inform the driver of the risk of collision. First of all, using the forward-looking camera, it extracts the interest area corresponding to the road and the cars from the image photographed from the road. From the interest area, it extracts the object of the car in front through the analysis on the critical value of the shadow of the car in front and then alerts the driver about the risk of collision by calculating the distance from the car in front. Based on the results of detecting driving cars and measuring the distance between cars, the collision warning system was designed and realized. According to the result of applying it in the actual road situation and testing it, it showed very high accuracy; thus, it has been verified that it can cope with safe driving.