• Journal of KIISE:Software and Applications
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• v.27 no.12
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• pp.1183-1192
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• 2000

기존의 휴대정보단말 사용자는 단말 소프트웨어의 특성 상 웹을 통해 게시되는 소프트웨어 정보를 계속해서 모니터링하고, 필요한 소프트웨어를 직접 단말에 다운로딩하는 단순 반복 작업을 계속해야 한다. 이는 컴퓨터 비전문가인 일반 사용자가 활용하기에는 어려운 점이 있으며, 뿐만 아니라, 단말기에 익숙한 사용자에게도 새로운 소프트웨어 정보를 계속해서 모니터링하여 획득 및 활용하기에는 많은 오보헤드가 필연적으로 따르게 된다. 본 논문에서는 사용자가 별도의 추가 작업을 하지 않아도 늘 가장 최신의 소프트웨어가 자신의 단말에 자동으로 업그레이드 되고, 관심 있는 응용 소프트웨어가 릴리즈 될 때 마다 실시간으로 이 정보를 알려주고 사용자가 원한다면, 자동으로 설치 작업까지 해서 곧바로 소프트웨어를 이용할 수 있다록 하는 ‘에이전트 기반의 유대정보단말용 소트프웨어 자동 설치 시스템’에 관하여 기술한다. 본 시스템은 유동적인 웹 환경과 다양한 휴대정보단말을 고려하여 실행시간(Runtime)에도 새로운 기능 추가가 가능하며, 동일한 통신 언어를 통해 개발 플랫폼이 서로 상이한 에이전트간에도 협동 작업이 가능하도록 하는 멀티 에이전트 기반 구조인 OAA(Open Agent Architecture)상에서 구현하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.7
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• pp.45-54
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• 2006

General unmaned airship, in use of aviation photography, needs both airship -controller and camera-controller who work together in harmony. In oder to reduce this manpower and get the good Geographical Information Systems(GIS) data, it is necessary to use a autopilot controller which guides a exact path lines. This paper presents the autopilot control law base on classical PID control. Moreover, this paper shows the result of flight test, the procedure of gain tuning and LOS guidance algorism that is reduce a tracking error.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.910-912
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• 2005

영상감시기술은 공공장소의 사랑 행동패턴 분석을 통한 범죄 예측, 실내 환경에서의 사람의 출입여부 확인, 다중 카메라에서의 특정 이동객체 추적 등 다양하게 이용되고 있다. 또한 유비쿼터스 환경에서 영상센서로 사용 될 수 있다. 영상감시기술에서는 입력된 영상을 여러 과정을 통하여 분석 하게 된다. 여러 과정 중 이동 객체의 정확한 분석을 위해서는 효과적인 이동객체 검출 방법이 필요하게 된다. 어떤 감시카메라는 객체가 감지되었을 때 감지된 영상을 자동으로 보정한다. 이와 같이 자동보정 카메라에 입력된 영상을 분석할 경우 보정된 정도에 따른 영상처리가 필요하게 된다. 이동객체 검출 단계는 배경영상 모델링, 이동객체 검출, 그림자 제거 단계로 나눌 수 있다. 이 같은 과정 중에 감지된 영상의 자동보정 정도를 측정하고 영상 분석시 측정값을 적용하게 된다. 보정 정도를 적용한 방법과 하지 않은 방법 중에 적용한 방법이 더욱 정확한 검출 정도를 나타냈으며, 검출된 이진 이미지의 개선을 위한 과정 중 Reconstruction의 형태학적 영상처리 방법을 적용하여 기존의 검출 방법보다 향상된 결과 영상을 획득할 수 있었다. 이렇게 검출된 이동객체의 분석을 통해 보다 향상된 분석을 할 수 있게 되며, 차후 유비쿼터스 환경에서의 영상 센서로 사용 될 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.599-602
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• 2004

In this paper, an automatic setting method of control parameters for robot scorer is proposed. First we acquisited some local image lesions including robots and ball patch, and sampled the regions to RCB value. Edge operator is applied to get magnitude of gradient at each pixel. Some effective patch regions can be detected by magnitude of gradient, and YUV value at each pixel in patch lesions can be obtained. We can determine control parameters of robot soccer using luminance component of YUV. The proposed method is applied to robot soccer image to detect initial patch value and get control parameters adaptively in light variation.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.703-706
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• 2004

나선형 CT 혈관촬영에서 획득한 영상의 분석를 통해서 폐색전증이 의심되는 부위를 자동으로 검출하는 방법으로, 연구 대상은 20명의 환자를 대상으로 분석하였으며 CT 검사 후 방사선과 의사가 정상소견을 받은 환자 5명과 폐색전증이 있는 판독소견을 가진 15명을 대상으로 비교 분석하였다. CT 검사하는 동안에 조영제를 투입하면, 폐색전증이 발생한 부위는 조영제 양과 분포가 불균등하여 명암값이 낮게 검출된다. 검출방법으로는 전처리 작업으로 폐영역만을 분할하고, 분할된 폐영역에서 혈관을 찾기 위해 모폴로지기법를 적용하여 세선화(thinning) 작업을 진행한다. 다음 공정으로는 경계선을 찾아 local watershed를 적용하여 혈관을 검출하고, 검출된 혈관내에서 원형모델을 적용하여 모폴로지(morphology)을 통해 국소 부위의 미세한 농도변화를 인지하여 색전이 발생한 영역을 자동검출하였다. 본 논문의 자동검출시스템에서는 색전증이 있는 경우에 true positive의 발생빈도는 case 당 4.5개가 검출되었다. 정상인의 경우에도 혈류의 흐름, 혈류의 분기점, 노이즈로 인한 false positive의 빈도는 case 당 2.6개가 발생하여 전체적으로 false positive는 5.2개가 검출되었다. 본 논문은 false positive의 비율이 높게 검출되었지만 폐영역 CT 검사의 컴퓨터지원진단시스템(computer aided diagnosis)의 향후 연구과제에 방향을 제시할 수 있을 것이라 사료된다.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.4
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• pp.143-154
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• 2004

The researchers, who seek geological and environmental information, depend on the remote sensing and aerial photographic datum from various commercial satellites and aircraft. However, the adverse weather conditions and the expensive equipment can restrict that the researcher can collect their data anywhere and any time. To allow for better flexibility, we have developed a compact, a multi-spectral automatic Aerial photographic system(PKNU 2). This system's Multi-spectral camera can catch the visible(RGB) and infrared(NIR) bands($3032{\times}2008$ pixels) image. Visible and infrared bands images were obtained from each camera respectively and produced Color-infrared composite images to be analyzed in the purpose of the environment monitor but that was not very good data. Moreover, it has a demerit that the stereoscopic overlap area is not satisfied with 60% due to the 12s storage time of each data, while it was possible that PKNU 2 system photographed photos of great capacity. Therefore, we have been developing the advanced PKNU 2(PKNU 3) that consists of color-infrared spectral camera can photograph the visible and near infrared bands data using one sensor at once, thermal infrared camera, two of 40 G computers to store images, and MPEG board to compress and transfer data to the computer at the real time and can attach and detach itself to a helicopter. Verification and calibration of each sensor(REDLAKE MS 4000, Raytheon IRPro) were conducted before we took the aerial photographs for obtaining more valuable data. Corrections for the spectral characteristics and radial lens distortions of sensor were carried out.

• Journal of KIISE:Databases
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• v.37 no.1
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• pp.22-32
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• 2010

Location-based services have been expanded rapidly in local and overseas markets due to technological advances and increasing applications of wireless internet. Various researches have been made to manage efficiently the location information of moving objects. A basic location-based alert service provides alerting messages automatically when either entering or leaving a specific location and it is expected to become one of the most important location-based services. Location-based alert services require a location polling method to acquire current locations for a large number of moving objects. However, a simple periodical location polling method causes severe system overload because a system should keep updating location information of the moving objects ceaselessly. Most location polling algorithms for location-based alerting services are not suitable for mobile users with dynamic and unsteady moving patterns. In this paper, we propose an improved location polling algorithm for location-based alerting services to reduce the amount of location information acquisition and therefore, to decrease the system load. Various experiments show that the proposed algorithm outperforms other algorithms.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1305-1312
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• 2006

This study is about the development of measurement system using ubiquitous wireless communication for river flow monitoring. The system can acquire water depth, quality (temperature, pH, conductivity, turbidity etc.) while a GPS module for getting the location data of measurement points. Also this system is able to acquire the field data via RF connection and can be controlled same time. The acquired data is transmitted to a gateway system from the remote buoy using Zigbee wireless connection. And the gateway system is able to monitor the data through GIS monitoring tool. Finally the data are transmitted to a server computer using CDMA wireless connection by gateway system. The D/B of server computer are constructed automatically and monitored the project web site. The resulting system can be used for scour monitoring, environment monitoring and the other monitoring purposes such as a river flow monitoring system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.4
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• pp.680-686
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• 2006

Document images captured by scanners have only skewing distortion. But camera captured document images have not only skew but also vignetting effect and geometric distortion. Vignetting effect, which makes the border areas to be darker than the center of the image, make it difficult to separate characters from the document images. But this effect has being decreased, as the lens manufacturing skill is developed. Geometric distortion, occurred by the mismatch of angle and center position between the document image and the camera, make the shape of characters to be distorted, so that the character recognition is more difficult than the case of using scanner. In this paper, we propose a method that can increase the performance of character recognition by correcting the geometric distortion of document images using a linear approximation which changes the quadrilateral region to the rectangle one. The proposed method also determine the quadrilateral transform region automatically, using the alignment of character lines and the skewed angles of characters located in the edges of each character line. Proposed method, therefore, can correct the geometric distortion without getting positional information from camera.

• Journal of KIISE:Software and Applications
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• v.34 no.8
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• pp.763-771
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• 2007

As software is widely used on various environments today, there is an increasing need for adaptive software. Adaptive software is robust and flexible software that modifies its own behavior in response to the changes in its environment. Due to time constraints, high complexity and so on, it is hard to acquire context information from environment. So, when implementing software, it is common to think easily acquired data to be the environments. This research proposes an adaptive software framework that assumes plane images to be environments. Plane images are easy to acquire and have enough complexity. From this, our framework is able to acquire context information, reasons with action rule, and acts on the result of reasoning. Stand on this framework, implements software that plays a simple game automatically.