• The Optical Journal
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• s.173
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• pp.23-23
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• 2019

• 대한예방의학회:학술대회논문집
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• 2001.04a
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• pp.1-26
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• 2001

국가 보건의료체계(health care system)가 올바르게 기능하기 위해서는 의료체계를 구성하는 각 요소들간의 유기적인 상호 작용이 대단히 중요하다. 정보체계는 이러한 유기적인 상호 작용을 위해 보건의료체계의 각 영역에서 꼭 필요한 시스템이다. 보건의료 서비스를 효율적으로 생산하기 위해서 투입하는 자원의 개발과 배치 체계는 물론 생산된 보건의료 서비스를 소비자가 효과적으로 이용할 수 있도록 하는 서비스 전달체계(delivery system)의 전과정에서 보건의료정보체계는 중요한 인프라가 되고 있다. 정보체계는 궁극적으로 보건의료체계가 지향하는 목적을 달성할 수 있도록 짜여져야 한다. 다시 말해, 의료체계의 각 하부영역에서 의료이용의 접근성(accessibility), 형평성(equity), 서비스의 의과학적 질(scientific technical quality), 포괄성(comprehensiveness) 등 보건의료체계가 추구하는 가치를 정보체계에서도 그대로 담아 낼 수 있어야 한다. 또한 정보체계를 구축하기 위한 요건으로 각 사업 영역별 표준화, 사업 영역간의 상호관계, 공공과 민간의 역할 분담, 정보 관련 시선과 인력, 정보기술 등의 인프라, 각 사업 영역별 정보화에서 담아야 할 정보 내용(contents, DB) 등에 대한 사전 기획이 수립되어야 한다. 그 동안 보건의료분야의 정보화사업은 1996년부터 보건소기관의 행정, 진료, 보건 업무지원을 위한 보건소정보화사업과, 1995년부터 초고속공공응용서비스 사업의 일환으로 추진해 온 전염병, 혈액유통, 장기이식, 외래진료예약, 원격진료, 응급의료, 원격치매진료 시스템 구축사업 등이 있으며, 응급의료, 혈액관리, 장기이식, 전염병정보, 외래진료예약시스템을 통합한 보건의료정보통합서비스시스템(1998년) 구축사업 등이 있었다. 이러한 사업들에 대해 현재 평가되고 있는 문제점들로는 정보화 사업에 대한 전략과 비젼이 부재한 상태에서 지나치게 정보기술 중심으로 추진되다 보니 보건의료 정보의 공유나 활용이 전혀 이루어지지 않거나 매우 제한적이었고, 시범사업의 경우는 초기 사업을 추진하기 위한 주체가 명확하지 않았고, 관련 인력의 훈련과 양성이 안 되었으며, 사업 확대를 위한 법적 기반의 취약, 정보화 사업이 부실한 데 대한 평가 기준과 대안 제시 등이 매우 취약한 것이 문제점으로 나타났다. 특히, 정보 내용과 DB 구축을 위한 표준화 등에 대한 사전 설계 부재는 개발된 정보시스템의 운영을 결정적으로 어렵게 만든 요인이 되고 있다. 전반적으로 기존의 정보화사업은 사업 추진을 위해서 꼭 필요한 비젼 수립, 비젼에 따른 목표 설정, 전략 개발, 관리체계 구축, 운영방안 수립 등 단계적인 정보화 계획이 부재한 것으로 평가되고 있어 보건의료정보체계 구축을 위한 종합 비젼 기획(ISP)이 시급한 실정이다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.4C
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• pp.401-410
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• 2007

In this paper, we propose water quality monitoring system using vision camera and multiple objects tracking method. The proposed system analyzes object individually using vision camera unlike monitoring system using sensor method. The system using vision camera consists of individual object segmentation part and objects tracking part based on interrelation between successive frames. For real-time processing, we make background image using non-parametric estimation and extract objects using background image. If we use non-parametric estimation, objects extraction method can reduce large amount of computation complexity, as well as extract objects more effectively. Multiple objects tracking method predicts next motion using moving direction, velocity and acceleration of individual object then carries out tracking based on the predicted motion. And we apply exception handling algorithms to improve tracking performance. From experiment results under various conditions, it shows that the proposed system can be available for real-time water quality monitoring system since it has very short processing time and correct multiple objects tracking.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.1
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• pp.78-83
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• 2007

Robot collects surrounding information to recognize tile unknown environment by using various sensors such as visual, infrared ray and ultra sonic sensors. Although visual sensor is the most popular one, it has some difficulties in collecting data in dark or too bright environment due to sensitivity of the light. It also requests significant amount of calculation on collecting data from certain images with marked, straight and curved ones. As an alternative, ultra sonic sensor can simply overcome this visual sensing system's flaw and easily be used. It is easier than visual system, especially in case of collecting data on object and distance in dark environment. Ultra sonic sensor can replace the expensive visual sensing system not only in avoiding obstacles but also in reaching to the target area smoothly. The purpose of this paper is to develop the algorithm to optimize the environmental recognition, path planning and free-ranging by minimizing errors caused by inaccurate information and by considering characteristics of the ultra sonic rays such as refraction and diffusion. This paper also realizes the system that can recognize the environment and make the appropriate path planning by applying the algorithm on this moving robot.

• Resources Recycling
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• v.15 no.6 s.74
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• pp.3-9
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• 2006

In this study, a machine vision system using a color recognition method has been designed and developed to automatically sort out specified materials from a mixture, especially Cu and other non-ferrous metal scraps from a mixture of iron scraps. The system consists of a CCD camera, light sources, a frame grabber, conveying devices and an air-nozzle ejector, and is program-controlled by a image processing algorithms. The ejectors designed to be operated by an I/O interface communication with a hardware controller. In the functional tests of the system, its efficiency in the separation of Cu scraps from its mixture with Fe ones reaches to 90% or more at a conveying speed of 15m/min, and thus the system is proven to be excellent in terms of the separating efficiency. Therefore, it is expected that the system can be commercialized in the industry of shredder makers if an automated sorting system of high speed is realized.

• Proceedings of the Korean Institute of Resources Recycling Conference
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• 2005.05a
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• pp.57-61
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• 2005

In this study, the machine vision system for inspection using color recognition method have been designed and developed to automatically sort out a specified material such as Cu scraps or other non-ferrous metal scraps mixed in Fe scraps. The system consists of a CCD camera, light sources, a frame grabber, conveying devices and an air nozzled ejector, and is program-controlled by a image processing algorithm. The ejector is designed to be operated by an I/O interface communication with a hardware controller. The sorting examination results show that the efficiency of separating Cu scraps from the Fe scraps mixed with Cu scraps is around 90 % at the conveying speed of 15 m/min. and the system is proven to be excellent in terms of its efficiency. Therefore, it is expected that the system can be commercialized in shredder firms, if the high-speed automated sorting system will be realized.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.903-909
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• 2018

In this paper, performance analysis of machine vision techniques is presented to improve the convenience and speed of automatic inspection in the industrial field when machine vision is applied to the image not taken in the stationary state, but in the moving state on a conveyer. When the length of cylindrical rods used for automobiles was measured using the edge detection method, the conveying speed increased, and the uncertainty of the boundary between the background and the part image increased, which resulted in a shorter image of the object taken. This paper proposes a linear compensation method to predict the biased errors of the length measurements after examining the pattern of biased and random errors, respectively, with 6 different types of specimens and 7 velocity stages. The length measurement corrected by the linear compensation method had the same accuracy as the stationary state within the speed range of 30 cm/s and could enhance the application capability in automatic inspections.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.11
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• pp.610-620
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• 2003

Various shadows are one of main factors that cause errors in vision based vehicle detection. In this paper, two simple methods, land mark based method and BS & Edge method, are proposed for vehicle detection and shadow rejection. In the experiments, the accuracy of vehicle detection is higher than 96%, during which the shadows arisen from roadside buildings grew considerably. Based on these two methods, vehicle counting, tracking, classification, and speed estimation are achieved so that real-time traffic parameters concerning traffic flow can be extracted to describe the load of each lane.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.10
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• pp.134-142
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• 2009

In this paper, we proposed the right-angle stereo vision system to measure the object size using a human eyesight-like, and the system is reconstructed with conventional stereo vision system. In this proposed system, the size results of objects are measured very close to the real object size, and we got the ratios 93~103[%] for the real object sizes. Therefore, the suggested right-angle stereo vision system have a high possibilities to be applied to many industrial system parts and to be used for robot system, automatic system, and etc.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.174-178
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• 1999

Recently, the computer vision has been applied to many automation fields. Especially, this paper presents a maritime traffic detection system using computer vision since the high level information can be obtained using obtained area information. The high level informations are obtained such as speed, queueing length, queueing time, ship size, and ship kind. To get ship speed, the two detection lines are set on the predetermined screen position. The speed is obtained the passing time and the predetermined distance between the first and second detection line on the screen. Also, queueing length and time are gotten using screen position of ship. Furthermore, the size and kind of ship are calculated using the ship database and camera calibration data. This developed system contributes to reduce the traffic accidents on the coast. Futhermore, the more information can be extracted using obtained area information.