• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.770-775
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• 2023

Recently, as the amount of digital data increases exponentially, the importance of data processing systems is being emphasized. In this situation, the selection and construction of data processing systems are becoming more important. In this study, the performance of cloud computing (CC), edge computing (EC), and UAV-based intelligent edge computing (UEC) was compared as a way to solve this problem. The characteristics, strengths, and weaknesses of each method were analyzed. In particular, this study focused on real-time large-capacity data processing situations such as corridor monitoring. When conducting the experiment, a specific scenario was assumed and a penalty was given to the infrastructure. In this way, it was possible to evaluate performance in real situations more accurately. In addition, the effectiveness and limitations of each computing method were more clearly understood, and through this, the help was provided to enable more effective system selection.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.10
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• pp.1095-1102
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• 2014

In this paper, We proposed the approach of GPU and motion vector to analysis the Human activity in real-time surveillance system. The most important part, that is detect blob(human) in the foreground. We use to detect Adaptive Gaussian Mixture, Weighted subtraction image for salient motion and motion vector. And then, We use motion vector for human activity analysis. In this paper, the activities of human recognize and classified such as meta-classes like this {Active, Inactive}, {Position Moving, Fixed Moving}, {Walking, Running}. We created approximately 300 conditions for the simulation. As a result, We showed a high success rate about 86~98%. The results also showed that the high resolution experiment by the proposed GPU-based method was over 10 times faster than the cpu-based method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.357-358
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• 2021

Although many people watch the scene with multiple surveillance cameras, it is difficult to ensure that immediate action can be taken in the event of a crime. Therefore, there is a need for a "crime behavior detection system" that can analyze images in real time from multiple surveillance cameras installed in elevators, call immediate crime alerts, and track crime scenes and times effectively. In this paper, a study was conducted to detect violent scenes occurring in elevators using Scene Change Detection. For effective detection, an x2-color histogram combining color histogram and histogram was applied.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.07a
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• pp.266-266
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• 2004

• Proceedings of the KAIS Fall Conference
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• 2001.11a
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• pp.163-165
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• 2001

본 연구개발은 입력된 항로를 스스로 비행하며 사진 촬영, 국토 및 환경을 감시ㆍ관리할 수 있는 지능형 무인 비행 시스템 개발을 위한 레저 산업용 무선 조종 모형 비행기에 관련된 핵심기술을 확보하고, 상업화를 위한 전 단계의 시작품을 제작하는 것이다. 이와 관련하여 무선 조종 비행 관련 데이터를 확보 및 습득하고, 이의 활용으로 표준조종 기술을 확립하도록 했다. 또한, 자동 비행모드로 전환하기 위한 자동 비행 제어 알고리즘을 개발했으며, 확보된 비행기술을 데이터화하여 다양한 환경에서 시뮬레이션(simulation)을 수행한 정보를 프로그램화하여 자동 비행을 하도록 하고, 마이크로프로세서(microprocessor)를 이용하여 서보모터를 구동할 수 있는 제어기를 개발하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.4
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• pp.509-515
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• 2010

In this paper, the mechanism that can walk efficiently in wet land or sand area is proposed. A vision camera is attached to the mechanism, which makes a kind of biologically inspired robot for coast guard. This visionary information enables the biologically inspired robot to react in peripheral environment by a soft-computing algorithm. In addition, the biologically inspired robot can achieve the mission appointed by a programmer connecting with outside, based on RF and Blue-tooth communication module. Therefore, the purpose of this research is the implementation of the biologically inspired robot that can operate most adaptively in sand and wet surface based on Theo Jansen mechanism.

• 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.

• 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.