• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.711-713
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• 2019

본 논문은 기존의 단순 감지 센서형 양식장 관리 시스템을 벗어나기 위해 IoT와 AI기술을 이용한 무인 양식장 관리 시스템 개발에 관한 것이다. 국내 양식장 상황에 맞는 유해 조류와 한국형 어선 이미지를 학습시켜 실시간 카메라 영상을 통해 유해 및 무해 물체를 판단하도록 하였으며 이에 따라 적절한 퇴치 기능을 수행하도록 하였다. 또한 현존하는 양식장 관리 시스템이 환경 관리 시스템과 감시 및 퇴치 시스템으로 이분화 된 경향을 보여 하나로 통합하는 과정의 필요성이 대두되었다. 따라서 감시 및 퇴치 기능 수행뿐만 아니라 양식장 내 환경 데이터를 실시간으로 받아오고 사용자가 단말기를 통해 양식장 상황을 확인 및 관리가 가능하도록 구현하고자 하였다.

• Proceedings of the KIEE Conference
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• 2002.07b
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• pp.1278-1279
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• 2002

열차운행에 따른 신호설비 동작상태의 이상여부를 효과적으로 감시하고 신호설비의 고장 발생시 이를 신속하게 검출하여 그 원인을 진단함으로써 유지보수 고도화를 구현하기 위하여, 열차운행상황 및 신호설비 동작상태에 관한 방대한 데이터들을 효과적으로 분석 정리하기 위한 지식공학적 기법을 제안한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.319-321
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• 2014

충돌위험도의 정량적인 평가는 항해 충돌방지 전문가 시스템 개발에 있어서 중요한 역할을 한다. 이 연구에서는 sech 함수를 이용한 새로운 충돌위험도 평가법에서 피항구역의 문턱값을 결정하는 방법을 분석하고 실제 상황에 적용 가능한 식을 개발하였다.

• 한국정보통신설비학회:학술대회논문집
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• 2005.08a
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• pp.38-41
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• 2005

현재 국내외적으로 PON 방식의 FTTH망 구축이 본격적으로 시작되고 있는 상황으로 향후 PON망 광선로의 운용/유지보수 문제가 대두될 것으로 보인다. 본 고에서는 FTTH망 구축 방식의 하나인 스플리터를 사용한 E-PON망 광선로의 감시를 위한 고분해능 OTDR 기술과 그 응용에 대해 다루었다.

• Journal of Korean Society of societal Security
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• v.3 no.1
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• pp.3-8
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• 2010

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.77-83
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• 2020

Recently, intelligent predictive surveillance system has emerged. It is a system that can probabilistically predict the future situation and event based on the existing data beyond the scope of the current object or object motion and situation recognition. Since such intelligent predictive monitoring system has a high possibility of handling personal information, security consideration is essential for protecting personal information. The existing video surveillance framework has limitations in terms of privacy. In this paper, we proposed a security framework for intelligent predictive surveillance system. In the proposed method, detailed components for each unit are specified by dividing them into terminals, transmission, monitoring, and monitoring layers. In particular, it supports active personal information protection in the video surveillance process by supporting detailed access control and de-identification.

• Smart Media Journal
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• v.7 no.2
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• pp.40-46
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• 2018

The conventional CCTV surveillance system for preventing accidents and incidents misses 95% of the data after 22 minutes where one person monitors multiple CCTV. To address this issue, researchers have studied the computer-based intelligent video surveillance system for notifying people of the abnormal situation. However, because the system is involved in the problems of power consumption and costs, the intelligent video surveillance system based on embedded modules has been studied. This paper implements the intelligent video surveillance system based on embedded modules for detecting intruders, detecting fires and detecting loitering, falling. Moreover, the algorithm and the embedded module optimization method are applied to implement real-time processing. The intelligent video surveillance system based on embedded modules is implemented in Raspberry Pi. The algorithm processing time is 0.95 seconds on Raspberry Pi before optimization, and 0.47 seconds on Raspberry Pi after optimization, reduced processing time by 50.52%. Therefore, this suggests real processing possibility of the intelligent video surveillance system based on the embedded modules is possible.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.2
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• pp.282-287
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• 2002

This paper action tracing by techniques to do image sequence component to watch invader based on Mobile internet use. First, detect frame in animation that film fixed area, and make use of image subtraction between two frame that adjoin, segment fixed backing and target who move. Segmentalized foreground object detected and did so that can presume middle value of gouge that is abstracted to position that is specified and watch invader by analyzing action gouge. Those watch information is stored, and made Mobile client send out SMS Message about situation of watch place to server being stored to sensed serial numbers, date, Image file with recording of time.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.883-890
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• 2010

Illegal waste dumping is one of the major problems that the government agency monitoring water quality has to face. One solution to this problem is to find an efficient way of managing and supervising the water quality under various kinds of conditions. In this article we establish WQMA (water quality monitoring algorithm) based on the time series intervention model. It turns out thatWQMA is quite successful in detecting illegal waste dumping.

• The Journal of the Korea institute of electronic communication sciences
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• v.3 no.4
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• pp.295-303
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• 2008

Under the obligations which is a protection of privacy and a respect for human rights of each person critical is caused by time about surveillance system and CCTV markets which stagnate during that about 911 terror after that securities about importance raising and direction of a ceremony crime prevention are caused by with world grafting of up-to-date IT technique of domestic and changes with the intelligent style surveillance system which leads and quite from the remote place the dead zone this the image which is photographed the Internet leads and with the intelligent style CCTV surveillance systems will be able to control which area at real-time watch and is embodied.