• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.481-483
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• 2023

본 논문에서는 어린이통학버스 안전사고 예방을 위한 지능형 탑승객 모니터링 시스템을 개발한다. 지능형 탑승객 모니터링은 통학버스 내 설치된 카메라로 부터 촬영되는 영상을 실시간으로 분석한 후 통학버스 내 발생할 수 있는 다양한 이벤트를 운전자 또는 교사에게 적시에 통보하여 잠재적 안전사고를 지능적으로 회피할 수 있도록 지원하는 시스템을 말한다. 제안한 시스템은 Yolov4, DeepSort, MediaPipe등의 인공지능 관련 SW기술을 활용하여 영상을 분석한 후 싸움과 같은 이상행동, 정차 후 잔류 인원 발생, 하차자와 차량 간의 안전거리 확보 여부를 포함하는 3가지 이벤트를 인식한 후 운전자 또는 교사에게 알림을 제공한다.

• Journal of the Korean Institute of Gas
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• v.12 no.2
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• pp.42-47
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• 2008

It is important for national safety that tank lorry or bulk lorry which is carrying toxic gas or explosive materials should be monitored during the maneuvering from starting point to destination as well as vehicle or tank status. Therefore, we propose a safety monitoring system for tank lorry to check driving condition and the vehicle status. We studied the integration of central control system with in-vehicle computer system connected with various sensors for monitoring through a communication network.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1661-1667
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• 2011

This study was intended to identify the applicability of energy harvesting technologies for powering a wireless health monitoring sensor system of railroad vehicle. As measuring surrounding energy under the normal operation environment, it is possible to predict amount of the applicable energy. The results of energy prediction represents the feasibility of power sources for wireless sensor systems through energy harvesting technologies under the circumstance in which the thermal energy and vibration energy are generated.

• ICROS
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• v.18 no.2
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• pp.21-29
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• 2012

최근 자동차 연구개발에 있어 내연기관을 대체하는 친환경 자동차기술과 더불어 무인자동차, 자율주행기술이 많은 부분에서 시도되고 실현되어가고 있다. 지능형 자동차라는 개념에서 적용되었던 운전자안전보조시스템, 편의지원과 사고경감 시스템 등이 하나로 통합되어 무인자동차 기술로 발전하고 있다. 또 차량에 고가의 센서를 장착하여 주변환경이나 운전자를 모니터링하는 방식에서 IT 융합기술을 이용한 네트워크기술 (V2I, V2V, V2N & V2X)을 접목시키는 방안을 통하여 개개의 차량은 물론 교통체계의 전체적인 변화를 추구하고 있다. 이러한 첨단차량기술은 새로운 교통문화(차량공유시스템, 군집주행)의 개발과 또다른 교통체계의 연구로 확장되어가고 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2853-2858
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• 2013

This paper proposes the ITMS(Intelligent Transport Monitoring System) which manages the route and state of freight by using the Meteorological Office, the Transportation Management Center, GPS and Sensors, etc. The ITMS consists of the CIMS(Container Inner Monitoring System) transmitting the inner temperature and humidity of a container, the TMM(Transport Management Module) computing an estimated time of arrival with Freight Vehicle location information and transmits the result to the CIMS, the FMM(Freight Management Module) checking and managing the freight freshness by using the temperature and humidity of the collected containers, and the SMM(Stevedoring Management Module) selecting the container loading and unloading places with the information transmitted from the CIMS, the TMM, and the FMM and attaching the freight formation to containers using an RFID label. The ITMS not only checks the freight condition at intervals but also acquires and manages the freight information with RFID labels rapidly and accurately.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.3
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• pp.433-440
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• 2023

When the reflector is hit by a vehicle or returned by a storm, an event is generated by the impact sensor and a trigger is operated. The trigger processing algorithm of this paper compares the X, Y, and Z values of the gyro sensor with the registered values and proposes to drive them to the original values by the operation of the 3-axis driving motor. And by recognizing the vehicle license plate, if the vehicle is stolen or a social problem, information is provided to the police operation network. When the reflector is stolen or moved, it has a registered GPS value, so it operates the theft monitoring function to process it.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.11
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• pp.610-620
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• 2003

Various shadows are one of main factors that cause errors in vision based vehicle detection. In this paper, two simple methods, land mark based method and BS & Edge method, are proposed for vehicle detection and shadow rejection. In the experiments, the accuracy of vehicle detection is higher than 96%, during which the shadows arisen from roadside buildings grew considerably. Based on these two methods, vehicle counting, tracking, classification, and speed estimation are achieved so that real-time traffic parameters concerning traffic flow can be extracted to describe the load of each lane.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.1-8
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• 2023

If there is a defect in the wheel bearing, which is a major part of the car, it can cause problems such as traffic accidents. In order to solve this problem, big data is collected and monitoring is conducted to provide early information on the presence or absence of wheel bearing failure and type of failure through predictive diagnosis and management technology. System development is needed. In this paper, to implement such an intelligent wheel hub bearing maintenance system, we develop an embedded system equipped with sensors for monitoring reliability and soundness and algorithms for predictive diagnosis. The algorithm used acquires vibration signals from acceleration sensors installed in wheel bearings and can predict and diagnose failures through big data technology through signal processing techniques, fault frequency analysis, and health characteristic parameter definition. The implemented algorithm applies a stable signal extraction algorithm that can minimize vibration frequency components and maximize vibration components occurring in wheel bearings. In noise removal using a filter, an artificial intelligence-based soundness extraction algorithm is applied, and FFT is applied. The fault frequency was analyzed and the fault was diagnosed by extracting fault characteristic factors. The performance target of this system was over 12,800 ODR, and the target was met through test results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.67-74
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• 2009

In this paper, we constructed Embedded web-server to be monitored and controlled for intelligent vehicle on the base of embedded system and Zigbee wireless communication. By interfacing main controller and embedded system with ECU including every information of vehicle, it is possible to monitor the cruising information of vehicle, and sensor signal added to inside and outside of vehicle is transferred to embedded system through Zigbee communication. Web-server is constructed using embedded system, that's why the access to vehicle is possible using PC or mobile instrument, and the real-time check and control of vehicle is possible as well.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06d
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• pp.5-8
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• 2011

기존의 물류 관리 시스템에서는 고객의 예상하지 못한 물류 수송 요청이 접수되면, 현재 진행하고 있는 물류 수송 상황에 대해 게시판에 메모를 하거나 관리자의 기억에 의존하여 계획을 수립하여 진행하고 있으며, 상황이 종료된 후에 수송 차량의 기사가 진행 상황을 회사에 보고하고 있다. 본 논문에서는 이러한 문제를 해결하기 위해 GPS 기능이 내장되어 있는 스마트 폰을 이용하여 차량과 화물의 부가적인 정보(위치, 물류의 상태 등)를 실시간 관리할 수 있도록 하고, 물류 수송 상에서 발생되는 데이터를 실시간으로 모니터링이 가능하도록 하였다. 그리고 관리자와 수송 기사간의 신속한 정보 전달을 통해 수송 계획을 최적화시켜 배송시 발생하는 비용 및 시간 문제에 대한 신속한 해결을 통해서 문제를 최소화할 수 있도록 하였다. 본 논문에서 제안한 시스템을 사용하게 되면 인적 물적 자원을 체계적으로 관리하여 적재적소에 분배함으로써, 이들의 활용성을 높일 수 있고 업무 효율을 극대화할 수 있다.