• 제어로봇시스템학회논문지
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• 제13권12호
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• pp.1186-1191
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• 2007

Human driver monitoring system is one of the most important systems for the safety in driving vehicles, and therefore driver assistance system has gained much attention during the last decade. This paper proposed an intelligent driver assistance system which monitors human driver's states from bio-signals such as ECG and Blood Pressure. The proposed system used mamdani fuzzy inference to evaluate the driver's mental strain and generated warning signals to the driver. The approach using bio-signals in driver assistance system is the main issue of the related systems and the preliminary results showed the possibility of further research topics in developing more intelligent embedded systems with bio-signal feedback.

• International Journal of Railway
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• 제3권3호
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• pp.106-112
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• 2010

Accidents at level crossing have large portion on train accidents, and causes economical loss by train delay and operational interruption. Various safety equipments are employed to reduce the accident at level crossing, but existing warning device, and crossing barrier are simple train-oriented protection equipments. In this paper, intelligent railway level crossing system is proposed to prevent and reduce accidents. For train driver's prompt action, image of level crossing and obstacle warning message are continuously provided to train driver through wireless communication in level crossing control zone. Obstacle warning messages, which are extracted by computer vision processing of captured image at level crossing, are recognized by train driver through message color, flickering and warning sound. It helps train driver to decide how to take an action. Meanwhile, for vehicle driver's attention, location and speed of approaching train are given to roadside equipments. We identified the effect of proposed system through test installation at Sea train and Airport level crossing of Yeong-dong line.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.301-306
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• 2006

The important field of research on ship operation is related to the high efficiency of transportation, the convenience of maneuvering ships and the safety of navigation. As a way of practical application for a smart ship based on network system, this paper proposes the intelligent support system for ship steering control system based on TCP/IP and desires to testify the validity of the proposal by applying the fuzzy control model to the steering control system. As the specific study methods, the fuzzy inference was adopted to build the maneuvering models of steersman, and then the network system was implemented using the TCP/IP socket-based programming. Lastly, the miniature model steering control system combined with LIBL (Linguistic Instruction-based Learning) was designed to testify for its effectiveness.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2199-2201
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• 2001

The 3-dimensional measuring machine by using an ultrasonic sensor is used one of the NDE(Nondestructive Examination). It is applied to the inspection of pipelines, boreholes, pressure vessel and tank, and so on. In particular when a harsh environment prohibits the use of moving mechanical parts. The 3-dimensional measuring machine by using an ultrasonic sensor, which measure 1-dimensional information and 2-dimensional information simultaneously from a target of inspection, and then reembody 3-dimensional information. So we can find the situation in progress and predict remaining life and corrosion without destructive examination. It's a point of excellence that the 3-dimensional measuring machine is portable.

• 한국멀티미디어학회논문지
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• 제22권2호
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• pp.281-291
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• 2019

In order to reflect complex and diverse building types, resident characteristics and disaster factors, it is necessary to introduce a flexible situation-based response system based on real-time information. Intelligent CCTV, hybrid sensor, location scanner, and customized broadcasting device were examined to introduce for the real-time response intelligent response system and its feasibility was verified through field test. In addition, based on the real-time information, the evacuation simulation was executed by assuming the dormitory building and the resident of the school, and the safety of the evacuation and the shortening of the pinnacle time were confirmed. The feasibility of real time information based evacuation comparing with the existing evacuation system were verified in the case of evacuation.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.213-216
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• 2022

There has been an increase in video surveillance for public safety and security, which increases the video data, leading to analysis, and storage issues. Furthermore, most surveillance videos contain an empty frame of hours of video footage; thus, extracting useful information is crucial. The prominent framework used in surveillance for efficient storage and analysis is video synopsis. However, the existing video synopsis procedure is not applicable for creating an abnormal object-based synopsis. Therefore, we proposed a lightweight synopsis methodology that initially detects and extracts abnormal foreground objects and their respective backgrounds, which is stitched to construct a synopsis.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.251-252
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• 2023

Compared to other industries the construction industry experiences more casualties and property damage due to safety accidents. One of the reasons is the increasing number of foreign workers. For this reason, past studies have found that foreign workers at construction sites are more exposed to safety accidents than non-foreign workers. Nevertheless the proportion of foreign workers involved in safety accidents at construction sites is increasing, and there has been a lack of research to predict the risk of safety accidents at construction sites. Additionally, realistic safety management is lacking due to a lack of safety accident risk prediction research. Therefore, in this study, we would like to propose basic research that proposes an AI-based safety accident prediction model framework for predicting safety accidents of foreign workers at construction sites. The framework and results of this study will contribute to reducing and preventing the risk of safety accidents for foreign workers through risk prediction for safety management of foreign workers at construction sites.

• 한국ITS학회 논문지
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• 제5권1호
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• pp.55-63
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• 2006

차량의 과속은 도시부 도로에서 번번하게 일어나는 교통사고의 중요한 원인 중 하나이다. 교통사고의 감소를 위하여 설치하는 교통통제창치의 일종인 과속경보장치(DFS)는 국내에서는 차대사람 교통사고를 예방하기 위하여 점차 다양한 곳에 적용을 확산해나가고 있다. 본 연구에서는 이 교통통제장치의 효과가 어느정도인지를 파악하기 위하여 설치전후로 첨두시간과 비첨두시간대로 나누어 필드 조사를 수행하였고, 수집자료의 분석에는 차량평균속도 및 속도분산을 포함한 여러 가지 종속변수에 대하여 실험결과에 대한 통계적 검증과 함께 논의 되어졌다. 따라서 본 연구에서는 사고감소 및 교통안전도 향상을 위한 교통통제장치로써 과속경보장치(DFS)가 단속에 의한 강제적 방법을 사용하지 않고도 교통류의 속도를 효과적으로 통제하여 보다 안전한 보행환경을 제공하고, 사고율을 낮춤으로써 교통안전도를 향상시키는 것으로 파악되었다.

• 한국멀티미디어학회논문지
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• 제17권2호
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• pp.226-231
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• 2014

정보 통신과 멀티미디어 기술의 발달로 사물 지능 통신과 멀티미디어 공동작업 환경, 운송 안전 서비스에 대한 관심이 증가하고 있다. 운송 안전 서비스를 위한 Shepherd 환경 기반 멀티미디어 복제 형 구조에 대해서 제안한다. 정보의 수집 및 활용 관계가 사람 대 사람에서 사람 대 사물의 관계, 사물 대 사물의 관계로 변화되어 사물 간 상호 정보 교환 및 제어 시스템을 통해 사물이 자율적으로 관리하는 형태로 진화되고 있다. 본 논문에서는 사물 지능 통신에서 멀티미디어 사이버 공동 작업 환경의 설계를 제안한다. 이 구조에 의하여 멀티미디어 공동 작업 환경과 결함허용 등에 대한 연구를 쉽게 할 수 있다. 사물 지능 통신 기반 시스템은 하나의 노드 또는 자원이 결함을 발생하더라도 전체 시스템에 영향을 미치지 않기 때문에 운송 안전 서비스 등의 설계를 위한 좋은 조건을 지닌다.

• 한국ITS학회 논문지
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• 제12권3호
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• pp.65-77
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• 2013

최근 교통사고 및 교통사고로 인한 사상자수의 감소를 위해 기존의 자동차에 각종센서나 통신기술 등의 첨단 ICT기술을 융합한 첨단안전자동차에 대한 연구가 활발히 진행 중에 있다. 이러한 첨단안전자동차 기술의 시장진입 및 관련 기술 도입을 위해서는 자동차에 도입되는 첨단안전 기술에 대한 효과 분석에 따른 도입 타당성 평가가 필요하다. 본 연구에서는 첨단안전자동차 기술 중 운전자지원시스템(ADAS: Advanced Driver Assistant System)을 대상으로 효과분석 방법론을 개발하고, 개발한 방법론을 차선이탈경고장치(LDWS: Lane Departure Warning System)와 자동비상제동장치(AEBS: Automatic Emergency Braking System)에 적용한 사례분석을 통해 사고감소효과를 추정하였다. 분석결과, 차선이탈경고장치는 관련 사고유형(정면충돌, 도로외이탈, 공작물추돌, 전도전복)에 대해 약 10~14%의 사고감소 효과가 있는 것으로 나타났으며, 자동비상제동장치는 추돌사고에 대하여 약 50%의 사고감소 효과를 보이는 것으로 나타났다. 본 연구의 결과는 추후 첨단안전자동차 기술 개발에 따른 효과분석시 기초자료로 활용이 가능할 것이며, 운전자, 탑승자, 보행자를 위한 자동차 기술의 발전 및 기술도입 타당성을 제시하기 위한 근거 자료로 활용이 가능할 것으로 기대된다.