• Journal of the Korean Society of Marine Environment & Safety
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• 제10권1호
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• pp.9-14
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• 2004

Many lighthouses have been built for safety navigation of vessel, but the management of lighthouses had to paid for maintenance costs. For that reason, the remote control system for the lighthouse is to be used, but the communication expense is very expensive because of the use of satellite communication network or the RF communication network Also, the state of lighthouse is difficult to analyze as transmit only measured data. Therefore, this paper embodied the remote control system for the lighthouse using CDMA method, that was extended to island area and we verified the effectiveness of the proposed system.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2007년도 추계학술대회
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• pp.260-265
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• 2007

제2만덕터널은 부산시민의 생활에 반드시 필수적인 장소로 하루 10만대의 차량이 이용하는 곳이지만 터널의 노후화와 안전시설의 미비로 사고발생시 인명피해는 물론 경제적 손실 발생 가능성이 큰 터널 시설물이다. 제2만덕터널은 2005년 7윌부터 2006년 9월까지 교통사고 56건, 고장사고 44건, 화재 2건, 기타 11건의 사고가 발생한 곳으로 관리사무소 전담요원 7명이 3교대로 근무하고 있으며 CCTV 15대만으로 사고를 대비하고 있다. 터널의 중요성을 고려할 때 노후화된 터널이지만 유비쿼터스 기술 및 구조물 계측기술을 적용한 안전관리 시스템이 필요하다. 제2만덕터널은 1985년에 준공되어 현재와 같은 보다 체계적인 터널 안전 관리 기술이 적용되리 많은 터널로 USN기반 구조물, 노면, 화재, 공기, 조명센서를 이용한 실시간 모니터링과 돌발적인 교통사고 발생 시에 신속한 복구 처리를 위하여 유관기관과 연계된 긴급 지원 시스템의 구축의 좋은 모델이 될 것이다. 부산광역시에는 총 17개 터널이 있으며 그 중 11곳이 90년 이전에 구축된 것으로 본사업으로 노후화 터널의 유비쿼터스 기반의 안전관리 시스템이 개발된다면 부산을 중심으로 전국에 산재한 노후화 터널의 안전 관리 개선에 미치는 파급효과가 클 것이며 유비쿼터스 기술의 대표적 적용 사례가 될 것이다.

• Journal of Institute of Control, Robotics and Systems
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• 제22권11호
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• pp.895-903
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• 2016

In a fire disaster in a tunnel, people should be rescued immediately using the information obtained from cameras or sensors. However, in heavy smoke from a fire, people cannot be clearly identified by a mounted CCTV, which is only effective in a clear environment. A thermal camera can be an alternative to this in smoky situations and is capable of detecting people from their emitted thermal energy. On the other hand, the thermal image camera has a smaller field of view than an ordinary camera due to its lens characteristics and temperature error, etc. In order to cover a relatively wide area, panoramic image construction needs to be implemented. In this work, a template-based similarity matching algorithm for constructing the panorama image is proposed and its performance is verified through experiments. This scheme provides guidelines for coping with difficulty in image construction, which requires an exact correspondence search for two images in cases of heavy smoke.

• Journal of Environmental Science International
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• 제24권4호
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• pp.403-414
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• 2015

This study is daytime and nighttime runoff image data caused by heavy rain on May 27, 2013 at Oedo Water Treatment Plant of Oedo-Stream, Jeju to compute runoff by applying Surface image velocimeter (SIV) and analyzing correlation according to current. At the same time, current was comparatively analyzed using ADCP observation data and fixed electromagnetic surface current meter (Kalesto) observed at the runoff site. As a result of comparison on resolutions of daytime and nighttime runoff images collected, correlation coefficient corresponding to the range of 0.6~0.7 was 6.8% higher for nighttime runoff image compared to daytime runoff image. On the contrary, correlation coefficient corresponding to the range of 0.9~1.0 was 17% lower. This result implies that nighttime runoff image has lower image quality than daytime runoff image. In the process of computing current using SIV, a rational filtering process for correlation coefficient is needed according to images obtained.

• Journal of Environmental Science International
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• 제24권4호
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• pp.359-369
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• 2015

This study analyzed the velocimetry of runoff and measured the flood discharge by applying the SIV (Surface Image Velocimetrer) to the daytime and nighttime flow image data with special reference to Seong-eup Bridge at Cheonmi stream of Jeju during the flow by the severe rainstorm on May 27, 2013. A 1000W lighting apparatus with more than 150 lux was installed in order to collect proper nighttime flow image applied to the SIV. Its value was compared and analyzed with the velocity value of the fixed electromagnetic wave surface velocimetry (Kalesto) at the same point to check the accuracy and applicability of the measured velocity of flow. As a result, determination coefficient $R^2$ values were 0.891 and 0.848 respectively in line with the velocity distribution of the daytime and nighttime image and the flow volume measured with Kalesto was approximately 18.2% larger than the value measured with the SIV.

• Journal of the Korean Institute of Rural Architecture
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• 제10권4호
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• pp.25-32
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• 2008

The prevention of disasters in cultural property is very important management and historical duties. The reason can't be measured values with monetary scale of our contemporary. Therefore, this paper was considered fire-safety as one of terrible threat-disasters about the wooden buildings. This research deal with 47 cases cultural property wooden building by whole investigation(field survey and interview) in Gangnung province. The most buildings have basic fire extinguisher; ABC powder. A few buildings are rarely installed fire extinguishing equipments; outdoor fire hydrant, heat sensor, ground sprinkler, CO2-hose-reel. But these state is very insufficient for the fire-safety in cultural property wooden buildings. Specially as particular attention in province, forest fire of regional characteristic have close relation with cultural property fire. The majority of factor against forest and building fire is to provide monitoring and security system; CCTV, Fence, Sensor, Alarm and paid guard man against incendiary. Ultimately it is necessary to construct comprehensive disaster prevention system with the organic cooperation such as National Emergency Management Agency, Cultural Heritage Administration, Forest Service, local government officials and regional citizen.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제14권4호
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• pp.999-1004
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• 2010

Most of campus vehicle management systems, so far, simply manages coming in or go out of vehicles, issuing a parking tickets. Recently some of them use RFID tags to count total numbers of cars in the campus, excluding exact parking position management. In this paper we propose a new campus vehicle management system using wireless sensor network location management scheme. This system adopts RSSI based location management method with some performance improvement technique. According to the experimental result, this proposed scheme can be used to implement an effective campus vehicle management system.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.86-87
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• 2016

본 논문에서는 optical flow sensor를 이용하여 실내의 바닥 영상인식를 통한 영상처리기법을 이용해 움직임 없는 hovering을 할 수 있는 방법을 제안한다. 또한 optical flow와 BLE finger printing 기법을 혼합해 위치 인식 정밀도를 높일 수 있다. 본 고에서는 optical flow sensor와 BLE finger printing의 두 기술을 혼합하면 드론 스스로 실내에서 정밀도 높은 위치인식이 가능 하며 실외에서만 사용할 수 있는 GPS 비행모드를 대신 할 수 있어 실내에서 자동 경로 비행이 가능하게 하고 위치 안내, 실내 방송촬영, 이동식 CCTV등 질 높은 서비스를 제공하고자 한다.

• Journal of the Korea Society of Computer and Information
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• 제22권5호
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• pp.21-28
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• 2017

As technology related to digital imaging equipment is developed and generalized, digital imaging system is used for various purposes in fields of society. The object tracking technology from digital image data in real time is one of the core technologies required in various fields such as security system and robot system. Among the existing object tracking technologies, cam shift technology is a technique of tracking an object using color information of an object. Recently, digital image data using infrared camera functions are widely used due to various demands of digital image equipment. However, the existing cam shift method can not track objects in image data without color information. Our proposed tracking algorithm tracks the object by analyzing the color if valid color information exists in the digital image data, otherwise it generates the lightness feature information and tracks the object through it. The brightness feature information is generated from the ratio information of the width and the height of the area divided by the brightness. Experimental results shows that our tracking algorithm can track objects in real time not only in general image data including color information but also in image data captured by an infrared camera.

• The Journal of the Korea institute of electronic communication sciences
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• 제8권11호
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• pp.1647-1654
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• 2013

Detection performance of the vehicle on the road depends on weather conditions, the shadow by the movement of the sun, or illumination changes, etc. In this paper, a vehicle detection system in conjunction with a robust background estimate algorithm to environment change on the road in daytime is proposed. Gaussian Mixture Model is applied as background estimation algorithm, and also, Adaboost algorithm is applied to detect the vehicle for candidate region. Through the experiments with input videos obtained from a various weather conditions at the same actual road, the proposed algorithm were useful to detect vehicles in the road.