• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.10
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• pp.862-870
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• 2016

AIS and V-PASS, which are used for safe navigation and automatic vessel arrival and departure, are mandatory standard equipment installed on all ships. If an aircraft is equipped with a ship identification system using AIS and V-PASS, and then ship identification information is received by a vessel such as a large fishery inspection boat or a patrol ship or a ground control system, we can quickly perform maritime surveillance and disaster response. This paper describes the development of a ship identification and display system using a ship identification device for aircraft. Flight test results and a future application plan are also included.

• 한국지형공간정보학회:학술대회논문집
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• 2002.03a
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• pp.17-22
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• 2002

인공위성을 이용한 위치결정시스템인 GPS(Global Positioning System)는 mm 단위의 정밀도로 정적, 동적 위치관측이 가능한 시스템으로 현재 여러 분야에서 활용이 증가하고 있다. 특히 교량, 댐 등 안전이 요구되는 사회기반 시설물의 동적 거동을 기록하고 감시하는데 있어서 GPS가 새로운 관측시스템으로 주목받고 있으며 이를 실용화하기 위한 연구가 활발히 진행되고 있다. 본 연구에서는 GPS를 이용하여 건물의 거동상태를 점검 하는 것을 목적으로 하고 있다. 계절풍에 의한 초고층건물의 거동을 해석하기 위하여 건물 옥상에 GPS, 가속도계, 풍향계, 풍속계를 설치하였다. GPS와 가속도계로를 이용하여 건물의 변위 및 가속도를 5Hz로 관측하였다. GPS를 이용한 변위관측은 1시간, 1분, 1초 등의 간격으로 3차원 변위를 계산하였으며, 계산된 3차원 변위를 가속도계, 풍속계, 풍향계와 연계하여 해석하였다. 대상 건물에 대한 최대 변위를 관측한 결과 계절에 따라 큰 차이를 보였으며 건물의 안정성을 평가할 수 있는 척도인 건물의 고유 진동수의 경우 약 0.2Hz의 값을 얻을 수 있었다. 향후 모든 센서들을 통합하여 실시간으로 건물을 모니터링할 수 있는 시스템을 개발할 경우 건물의 안정성 해석 및 유지보수에 본 연구가 큰 기여를 할 수 있을 것으로 사료된다.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.1
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• pp.1-10
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• 2023

In this paper, the design and implementation of the long-distance wireless transmission technology of high-definition video using domestic wireless communication technology for the existing wired-based CCTV surveillance system and IP camera system was evaluated for performance. The interworking test between the wireless multi-IP camera transmission terminal device and the wireless communication RF module, and the wireless multi-IP camera-based video transmission system integration interworking test confirm the module interworking suitability during video transmission.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.314-317
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• 2020

환자의 생체신호 측정 및 관찰, 영상 위생 등을 포함하는 직접간호는 간호사들의 총 간호활동 시간 중 내과는 48%, 외과는 40% 로 간호사들의 업무 부담이 되고 있다. 또한 의료기관에서 사용되는 의료기기들은 여러 회사에서 구매하여 사용되기 때문에 각 회사마다 상이한 프로토콜을 가지고 있어 하나의 시스템으로 생체신호를 모으기가 쉽지 않다. 따라서 여러 장비에서 생체신호를 실시간으로 취득하여 통합 관리할 수 있는 시스템 개발을 통해 간호사의 직접간호 업무량을 줄여 간호사의 근무환경 개선뿐만 아니라 중증환자의 경우 환자 생체신호에 대한 실시간 원격감시가 가능하고 환자에게서 발생된 모든 생체신호가 데이터베이스 시스템으로 기록관리 됨으로 인해 환자의 생체 신호에 대한 이력 추적관리가 가능함으로써, 양질의 의료 서비스가 가능한 환자케어시스템을 개발하고자 한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5D
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• pp.635-644
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• 2009

Image processing technique in the outdoor environment is very sensitive, and it tends to lose a lot of accuracy when it rapidly changes by outdoor environment. Therefore, in order to calculate accurate traffic information using the traffic monitoring system, we must resolve removing shadow in transition time, Distortion by the vehicle headlights at night, noise of rain, snow, and fog, and occlusion. In the research, we developed a system to calibrate the amount of traffic, speed, and time occupancy by using image processing technique in a variety of outdoor environments change. This system were tested under outdoor environments at the Gonjiam test site, which is managed by Korea Institute of Construction Technology (www.kict.re.kr) for testing performance. We evaluated the performance of traffic information, volume counts, speed, and occupancy time, with 4 lanes (2 lanes are upstream and the rests are downstream) from the 16th to 18th December, 2008. The evaluation method performed as based on the standard data is a radar detection compared to calculated data using image processing technique. The System evaluation results showed that the amount of traffic, speed, and time occupancy in period (day, night, sunrise, sunset) are approximately 92-97% accuracy when these data compared to the standard data.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.2
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• pp.181-190
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• 2014

The optimized flight path planning which is appropriate for UAV operation with high performance and multiplex sensors is required for efficient ISR missions. Furthermore, a mission visualization tool is necessary for the assessment of MoE(Measures of Effectiveness) prior to mission operation and the urgent tactical decision in peace time and wartime. A mission visualization and analysis tool was developed by combining STK and MATLAB, whose tool was used for UAV ISR mission analyses in this study. In this mission analysis tool, obstacle avoidance and FoM(Figure of Merit) analysis algorithms were applied to enable the optimized mission planning.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.626-632
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• 2017

Since natural disaster occurs increasingly and becomes complicated, it causes deaths, disappearances, and damage to property. As a result, there is a growing interest in the development of ICT-based natural disaster response technology which can minimize economic and social losses. In this letter, we introduce the main functions of the forest fire management platform by using images from an UAV. In addition, we propose a disaster image analysis technology based on the deep learning which is a key element technology for disaster detection. The proposed deep learning based disaster image analysis learns repeatedly generated images from the past, then it is possible to detect the disaster situation of forest-fire similar to a person. The validity of the proposed method is verified through the experimental performance of the proposed disaster image analysis technique.

• Korean Security Journal
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• no.25
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• pp.27-61
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• 2010

This study looks at plans for the efficient functions of the current terror response system in Korea. The results are derived from by comparing and analyzing American, British, German, Japanese, and Korean terror response systems. It focuses especially on addressing some problems with Korea's terror response system and how to operate it effectively. The study will systematically compare and analyze each nation's terror countermeasure studying organizational, functional, and legal aspects as standards. This study shows that there is not an exclusive terror response center in Korea compared with other nations such as America, the United Kingdom, Germany, and Japan. Also it is difficult to expect effective and vigorous operations due to weak cooperation across the relevant organizations. The presidential directive of the state's anti-terrorism action guidelines is legally ineffective. This means that on legal grounds, it is difficult to take actions to prevent the terrorism. Therefore, keys to counteracting terrorism derived from this study are summarized below. In the first place, an integrated terror response system should be set up for expansion of information sharing which leads to emergence effect. In the second place, the superior legislative systems should be made for the cleardefinition and extent of what the terror is, rigid enforcement of investigation, immigration, and keeping an eye on the funds raised by terrorists and tracking down the terrorists, the plan for eco-terrorism. In the third place, to augment security of vital facilities and peoples' awareness of terrorism safety should be emphasized and a cooperative system between civil and government organizations need to be built. In the fourth place, system for crisis management must be provided in an effort to maximize management system of terrorism and unify a decentralized emergency countermeasures effectively.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.493-497
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• 2016

Infrared (IR) imaging is capable of detecting targets that are not visible at night, thus it has been widely used for the security and defense system. However, the quality of the IR image is often degraded by low resolution and noise corruption. This paper addresses target segmentation with the IR image. Multiple regions of interest (ROI) are extracted by the multi-level segmentation and targets are segmented from the individual ROI. Each level of the multi-level segmentation is composed of a k-means clustering algorithm an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering algorithm initializes the parameters of the Gaussian mixture model (GMM) and the EM algorithm iteratively estimates those parameters. Each pixel is assigned to one of clusters during the decision. This paper proposes the selection and the merging of the extracted ROIs. ROI regions are selectively merged in order to include the overlapped ROI windows. In the experiments, the proposed method is tested on an IR image capturing two pedestrians at night. The performance is compared with conventional methods showing that the proposed method outperforms others.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.1-8
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• 2015

Various efforts are being made to live a Green life began to recognize an importance of eco-friendly living. In this paper, we have designed and implemented a mobile-based environmental keeping education service, which is offered well-defined category searching and environmental outreach related designed categories, for the purpose of supporting distribution of educational application. The implemented prototype system not only plays a function of environmental pollution report, related to simple environmental stewardship schemes, but also provides environmental monitoring service and integrated educational system supporting certified online volunteer activity. This study provides an one of famous methods to the youth for environmental monitoring education system based on mobile environments, and suggests an improvement to the environmental education for schools students.