• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.3-6
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• 2011

본 논문에서는 배전지능화시스템과의 정보연계, 미래 지능형전력망 운용 및 태양광, 풍력, 연료전지 등과 같은 신에너지전원의 단지를 효율적으로 유지, 관리하기 위하여, 유 무선 네트워크를 이용하여 원격 감시제어장치를 제작하였다. 이 장치는 한기대 캠퍼스 내에 설치되어 있는 50KW급 태양광전원을 대상으로 1km 정도 떨어져 있는 그린에너지연구실에서 유무선 네트워크를 이용하여 실시간으로 출력되는 전압, 전류데이터를 무선네트워크로 장거리 전송하여, HMI 프로그램인 AutoBase로 실시간 모니터링 하도록 제작하였다. 앞으로 본 논문에서 제안한 원거리 감시제어 장치를 이용하여 원거리에 위치한 대규모 태양광발전단지의 데이터를 무선네트워크 기술로 전송받아 보구슈지를 수행할 수 있는 기반을 마련하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12C
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• pp.744-752
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• 2011

In intelligent surveillance system, various methods for detecting abnormal behavior were proposed recently. However, most researches are not robust enough to be utilized for actual reality which often has occlusions because of assumption the researches have that individual objects can be tracked. This paper presents a novel method to detect abnormal behavior by analysing major motion of the scene for complex environment in which object tracking cannot work. First, we generate Visual Word and Visual Document from motion information extracted from input video and process them through LDA(Latent Dirichlet Allocation) algorithm which is one of document analysis technique to obtain major motion information(location, magnitude, direction, distribution) of the scene. Using acquired information, we compare similarity between motion appeared in input video and analysed major motion in order to detect motions which does not match to major motions as abnormal behavior.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.666-671
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• 2008

In this paper, we propose a new method for tracking objects continously and successively based on fusion of region information, color information and motion template when multiple objects are occluded and splitted. For each frame, color template is updated and compared with the present object. The predicted region, dynamic template and color histogram are used to classify the objects. The vertical histogram of the silhouettes is analyzed to determine whether or not the foreground region contains multiple objects. The proposed method can recognize more correctly the objects to be tracked.

• The Journal of the Korea Contents Association
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• v.6 no.8
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• pp.8-19
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• 2006

In the ubiquitous environment, the real-time remote control and monitoring technology for intelligent robot creates service as a sharable and independent of time-location for various contents to get from a sensor or camera of the robot. In this paper, We propose the real-time monitor and control mechanism for intelligent robot called URC(Ubiquitous Robotic Companion). URC are intelligent robots designed as to interact with external digital device that can communicate through wire or wireless by integration the network and information technology into traditional robot. It has been carried out by implementing this technology into the target robot called ISSAC4 and proving its practical worth. We designed feasibly to control on remote site by web-browser. It guarantees a continuity of real-time image transferring by Client-Pull method.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1056-1058
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• 2022

본 연구는 항만에서 안전 수칙을 위반하여 발생하는 사고 및 이상행동을 실시간 탐지를 수행한 후 위험 상황을 관리자가 신속하고 정확하게 대처할 수 있도록 지원하는 지능형 CCTV, Smart Eye를 제안한다. Smart Eye는 컴퓨터 비전(Computer Vision) 기반의 다양한 객체 탐지(Object Detection) 모델과 행동 인식(Action Recognition) 모델을 통해 낙하 및 전도사고, 안전 수칙 미준수 인원, 폭력적인 행동을 보이는 인원을 복합적으로 판단하며, 객체 추적(Object Tracking), 관심 영역(Region of Interest), 객체 간의 거리 측정 알고리즘을 구현하여, 제한구역 접근, 침입, 배회, 안전 보호구 미착용 인원 그리고 화재 및 충돌사고 위험도를 측정한다. 해당 연구를 통한 자동화된 24시간 감시체계는 실시간 영상 데이터 분석 및 판단 처리 과정을 거친 후 각 장소에서 수집된 데이터를 관리자에게 신속히 전달하고 항만 내 통합관제센터에 접목함으로써 효율적인 관리 및 운영할 수 있게 하는 '지능형 인프라'를 구축할 수 있다. 이러한 체계는 곧 스마트 항만 시스템 도입에 이바지할 수 있을 것으로 기대된다.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.281-286
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• 2012

In the growing standard of people's lives, we want desire to create eco-friendly water space what is called the Green Technology that is in the limelight. These green space is introduced the cultural contents and we use the water, music, and nature as tool of emotional verbalism. Presently, when we want to make scenario, water landscape scenario is made by director. but these systems have some disadvantages as the cost and limitation of direction. There is a growing interest in the integrated control system based on PC and Internet. In this paper, it is about fountain control system. Previous research area was only one using programmable logic controller or industrial PC. we proposed the development of intelligent green fountain culture system for healthy emotional self-concept. And we made automatic weather sensing system that is designed by the intelligent green fountain culture system to estimate the time-variant system.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.13 no.2
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• pp.1-18
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• 2017

Metal fatigue is an important aging mechanism that material characteristics can be deteriorated when even a small load is applied repeatedly. An accurate fatigue evaluation is very important for component structural integrity and reliability. In the design stage of a nuclear power plant, the fatigue evaluations of the Class 1 components have to be performed. However, operating experience shows that the design evaluation can be very conservative due to conservatism in the transient severity and number of occurrence. Therefore, the fatigue monitoring system has been considered as a practical mean to ensure safe operation of the nuclear power plants. The fatigue monitoring system can quantify accumulated fatigue damage up to date for various plant conditions. The purpose of this paper is to describe the fatigue monitoring procedure and to introduce the fatigue monitoring program developed by the authors. The feasibility of the fatigue monitoring program is demonstrated by comparing with the actual operating data and finite element analysis results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.2
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• pp.344-352
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• 2003

An effective algorithm for implementation of which detects moving object from image sequences. predicts the direction of it. and drives the camera in real time is proposed. In static camera, for robust motion detection from a dynamic background scene, the proposed algorithm performs statistical modeling of moving objects and background, and trains the statistical modeling of moving objects and background, and trains the statistical feature of background with the initial parts of sequence which have no moving objects. Active camera moving objects are segmented by following procedure, an improved order adaptive lattice structured linear predictor is used. The proposed algorithm shows robust object tracking results in the environment of static or active camera. It can be used for the unmanned surveillance system, traffic monitoring system, and autonomous vehicle.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.254-256
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• 2010

최근 감시시스템 구축에서 디지털 비디오 레코더(DVR)를 이용하는 방식이 주를 이루고 있다. 영상압축 기술의 발전에 따라 디지털 비디오 레코더는 H.264/AVC 인코더를 기반으로 저장 공간 대비 고화질의 영상 저장이 가능해졌다. 또한, 다수 채널의 동시 처리가 가능해졌을 뿐만 아니라 영상 압축 및 저장 기능 외에 지능형 감시를 위한 기능이 요구되고 있다. 본 논문에서는 H.264/AVC 압축 비트열에서 움직임 벡터 추출 및 분석을 통한 영상내 이동 물체 검출 방법을 제안한다. 압축 비트열에서 현재 프레임과 이전 프레임의 움직임 벡터들의 크기와 각도를 비교하여 임계값 이하인 움직임 벡터들을 추출하여 이동 물체를 검출하였다. 이동 물체 검출 성능 평가를 위해 H.264/AVC의 참조 프로그램인 JM 15.1을 사용하여 인코딩 및 비트열 분석을 수행 하였고, 움직임이 검출된 시간 구간만을 디코딩 후 저장하는 알고리즘을 구현하였다. 제안된 방식은 디코딩 부분의 연산량 감소뿐만 아니라 저장소의 물리적 공간 절약이 가능하다.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.5
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• pp.789-795
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• 2011

This paper aims to develop authoring tools and services platform that can be Immediate response through supervisor's intuitive understanding based 3d-Building Information mode about overall security situation of building by mapping many CCTV images on 3D space information from traditional observation way that make simply visualize CCTV images on the Situation Board.