• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.255-265
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• 2007

In this paper, we propose a new illumination-robust drowsy driver monitoring system with single CCD(Charge Coupled Device) camera for intelligent vehicle in the day and night. For this system that is monitoring driver's eyes during a driving, the eye detection and the measure of eyelid movement are the important preprocesses. Therefore, we propose efficient illumination compensation algorithm to improve the performance of eye detection and also eyelid movement measuring method for efficient drowsy detection in various illumination. For real-time application, Cascaded SVM (Cascaded Support Vector Machine) is applied as an efficient eye verification method in this system. Furthermore, in order to estimate the performance of the proposed algorithm, we collect video data about drivers under various illuminations in the day and night. Finally, we acquired average eye detection rate of over 98% about these own data, and PERCLOS(The percentage of eye-closed time during a period) are represented as drowsy detection results of the proposed system for the collected video data.

• Journal of Digital Contents Society
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• v.16 no.1
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• pp.25-32
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• 2015

With the increased frequency of crime such as assaults and sexual violence, the reliance on CCTV in arresting criminals has increased as well. However, CCTV, which should be monitored by human labor force at all times, has limits in terms of budget and man-power. Thereby, the interest in intelligent security system is growing nowadays. Expanding the techniques of an objects behavior recognition in previous studies, we propose a system to detect forms of violence between 2~3 objects from images obtained in CCTV. It perceives by detecting the object with the difference operation and the morphology of the background image. The determinant criteria to define violent behaviors are suggested. Moreover, provable decision metric values through measurements of the number of violent condition are derived. As a result of the experiments with the threshold values, showed more than 80% recognition success rate. A future research for abnormal behaviors recognition system in a crowded circumstance remains to be developed.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.373-373
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• 2018

화력발전소, 석유화학공단 등 대규모 배출원에서 발생되는 이산화탄소를 활용하여 온실가스의 배출을 줄이고, 경제적 가치를 창출할 수 있는 탄소자원화는 기후변화 대응을 위한 국가전략프로젝트 중 하나이다. 전 세계적으로 탄소자원화 기술은 아직 상용화 단계이지만 최근 강화된 온실가스 감축 의무로 인하여 탄소자원화 시장은 더욱 확대될 전망이다. 화력발전소의 이산화탄소 발생 과정에서 배출되는 수증기는 응축기술을 통하여 새로운 수원으로 활용이 가능하다. 응축된 물의 최적 활용과 사용처 지향적 효율적 물순환을 위한 시설 내 스마트 워터 그리드(SWG) 개념의 물분배 시스템은 발전 산업 내에 탄소자원화의 핵심기술로 사용될 수 있다. SWG는 시설 내 용수공급 관리에서의 관망 운영, 물 수요 관리 등 ICT를 활용한 종합적인 물 분배 시스템으로, 본 연구에서는 SWG 물순환 시스템의 국내외 기술조사를 통해 발전 산업 시설 내에 적용성을 검토하였다. 물의 재이용 시스템을 포함한 SWG 기술, 지능형 관망 운영 기법 기술, 실시간 수질 감시 체계 기술 연구를 기반으로, ICT 기반 용수공급 정보 관리 기술과 수운영 모니터링 기술을 통하여 SWG가 발전 산업 연계 기술로써 적용될 수 있도록 하였다. 본 연구에서 제시된 SWG 시스템을 적용한 산업 인프라를 통하여 산업적 파급 효과를 높이고, 이를 활용한 인력과 비용 절감이 기대되며, 저에너지, 고효율화를 위한 기술력과 글로벌 물 시장진출 경쟁력을 향상시키기 위한 기초연구자료로써 활용이 가능할 것으로 기대된다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.58-70
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• 2019

In the case of a pedestrian traffic accident, it has a large-scale danger directly connected by a fatal accident at the time of the accident. The domestic ITS is not used for intelligent risk classification because it is used only for collecting traffic information despite of the construction of good quality traffic infrastructure. The CNN based pedestrian detection classification model, which is a major component of the proposed system, is implemented on an embedded system assuming that it is installed and operated in a restricted environment. A new model was created by improving YOLO's artificial neural network, and the real-time detection speed result of average accuracy 86.29% and 21.1 fps was shown with 20,000 iterative learning. And we constructed a protocol interworking scenario and implementation of a system that can connect with the ITS. If a pedestrian accident prevention system connected with ITS will be implemented through this study, it will help to reduce the cost of constructing a new infrastructure and reduce the incidence of traffic accidents for pedestrians, and we can also reduce the cost for system monitoring.

• 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.

• Fire Science and Engineering
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• v.27 no.5
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• pp.15-18
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• 2013

This paper is concerned with the Performance and Reliability Certification for fire detection system in outdoor area such small and middle sized cultural assets, natural monument and outdoor facilities. Especially, if a fire were to occur in vulnerable area, it is difficulty to detect a fire. therefore we propose a high efficiency and low cost unmanned fire detection system in capable of an early detection regardless spontaneously fire or firebug. for Adoption of Intelligent Fire Detection System with movable and unmanned function breaking from the existing Conventional Fire Detection System, this Range of R&D includes the Performance test, Function test, Field test, Flame Detection test and EMI/EMS Compliance test. the Result data of Performance test, Function test and Field test is generally good during 3 months. also we checked that thermal variation test and EMI/EMS compliance test are good result data within allowable range. As a result of general test, we verified improvement results that the measure distance of fire detection extend 75 m, the Power of waiting time increase 4 hours, the Power of operation time increase 3 days and the context awareness with video as well as sensors.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.108-108
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• 2016

스마트워터그리드(Smart Water Grid; 이하 SWG)란 현재 직면에 있는 물 부족, 물 안보, 물 복지 등 물에 대한 문제를 ICT 기술을 활용하여 물관리의 새로운 패러다임을 제시할 수 있는 융합 기술이다. 즉, SWG는 기존의 수자원 관리 시스템의 한계를 극복하기 위해 첨단 정보통신기술을 이용하는 고효율의 차세대 인프라 시스템으로 다양한 수원을 활용하고 물을 효율적으로 배분 관리 운송하여 수자원의 불균형을 해소하고, 첨단센서네트워크를 이용해 용수관리 전분야에 걸쳐 양방향 실시간으로 용수정보를 감시 대응하여 용수관리와 에너지 효율의 최적화된 메가시티(mega-city)에 적합한 지능형 물관리가 가능할 것으로 예상되는 시스템이다. 따라서 국토교통부 과제로 추진중인 SWG 연구단에서 개발한 스마트 워터 기술을 영종도 112 블록에 적용하여 지역주민의 물복지 향상 및 물 사용자에 대한 소비자 만족도를 높이는데 목적을 두고 데모플랜트를 구축 방안을 수립하였다. 영종도 112블록(인천 운서동 및 운북동 일원)은 인천 공촌정수장에서 해저관로를 지나 영종통합 가압장에서 가압 후 공항신도시배수지에서 물을 공급받고 있는 지역으로 면적은 $17.41km^2$, 인구는 약 17,000명, 물사용량 $8,000m^3$/일, 총관로연장 약 55km, 유수율이 겨우 73.2% 지역이다. SWG 적용성 평가를 위해 영종도 112 블록에 유수율 제고 및 운영비용 저감을 목적으로 데모플랜트를 구축하였다. 스마트 계측을 위해 스마트미터 469개(15~20mm), 디지털미터 172개(25~200mm), 누수유무센서 1개소, 다항목 수질측정기 1개소, 유량계 3개소, 수압계 5개소, AMI 시스템 641개 및 물효율 운영프로그램과 물정보 App서비스 기능으로 구성하였다. 물효율 운영프로그램은 실시간 수요량 예측, 배수지 운영에 따른 취수량, 송수량, 펌프 대수조합 및 운전스케줄링이 가능한 경제적 물공급 스케줄링, 관망상태 감시 및 제어(실시간 유량/수압 분석을 통한 누수분석) 기능이 탑재되어 통합운영센터에서 운영할 계획이다. 데모플랜트 운영을 통해 수자원의 효율적인 배분 및 공급, 유지관리 향상, 운영 비용 최소화 등의 결과를 바탕으로 신도시 및 기존도시의 물관리 정책수립에 활용할 수 있을 뿐만아니라 시간적 공간적 불균형 해소 및 물시장 발전에 크게 기여할 것으로 사료된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1618-1623
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• 2019

In this paper, inductive couplers realizing broadband powerline communication (PLC) are fabricated using Fe-based nanocrystalline alloy and their performance is analyzed. As a result of the field tests using the distribution automation system (DAS), the couplers achieve comparatively excellent data communication in the principal frequency band of broadband PLC although there is a difference in communication rate depending on the presence or absence of a branch. In addition, it has been confirmed that the communication speed is maintained for a real-time transmission even in a high current environment although there is a difference in the transmission rate depending on the distance. Hence, it is considered that the inductive couplers can be used as a core device to realize the intelligent power network by exploiting them for the monitoring and remote controlling of the power plant equipments for the DAS located in the inaccessible areas.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.161-168
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• 2019

Recently, video equipments such as CCTV, which is spreading rapidly, is being used as a means to monitor and cope with abnormal situations in almost governments, companies, and households. However, in most cases, since recognizing the abnormal situation is carried out by the monitoring person, the immediate response is difficult and is used only for post-analysis. In this paper, we present the results of the development of video surveillance system that automatically recognizing the abnormal situations and sending such events to the smartphone immediately using the latest deep learning technology. The proposed system extracts skeletons from the human objects in real time using Openpose library and then recognizes the human behaviors automatically using deep learning technology. To this end, we reconstruct Openpose library, which developed in the Caffe framework, on Darknet framework to improve real-time processing. We also verified the performance improvement through experiments. The system to be introduced in this paper has accurate and fast behavioral recognition performance and scalability, so it is expected that it can be used for video surveillance systems for various applications.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.77-85
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• 2024

In this dissertation, a we designed and implemented a patrol robot that integrates a thermal imaging camera, speed dome camera, PTZ camera, radar, lidar sensor, and smartphone. This robot has the ability to monitor and respond efficiently even in complex environments, and is especially designed to demonstrate high performance even at night or in low visibility conditions. An orbital movement system was selected for the robot's mobility, and a smartphone-based control system was developed for real-time data processing and decision-making. The combination of various sensors allows the robot to comprehensively perceive the environment and quickly detect hazards. Thermal imaging cameras are used for night surveillance, speed domes and PTZ cameras are used for wide-area monitoring, and radar and LIDAR are used for obstacle detection and avoidance. The smartphone-based control system provides a user-friendly interface. The proposed robot system can be used in various fields such as security, surveillance, and disaster response. Future research should include improving the robot's autonomous patrol algorithm, developing a multi-robot collaboration system, and long-term testing in a real environment. This study is expected to contribute to the development of the field of intelligent surveillance robots.