• 대한한의학회지
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• 제19권2호
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• pp.411-419
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• 1998

For the purpose of external and internal morphological study on the origin of Folium, writing on herbolagy have been thoroughly reviewed. The object herb medicine(9 kinds) is Lophatheri Folium(Herba), Isatidis Folium, Eoriobotryae Folium, Mori Folium, Perillae Folium, Artemisiae argi Folium, Phyllostachys Folium, Clerodendri Folium, Biotae Folium(Cacumen). After this study, additional experimental verification is required as a matter of fact. As comparison materials, this thesis will be utilized.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.144-144
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• 2002

Analysis techniques using stereo-photos of object is used widely in close-range-photogrammetry field. but, there is difficulty to use metric camera for specialist. In this study, stereo images were acquired using metric camera and general digital camera about slide in Youngdong area. And they were generated two DEMs based metric camera and digital camera. And it was analyzed the correlation of two DEMs. Therefore, in research that was presented effectiveness of digital camera take the place of metric camera for slope analysis.

• 시스템엔지니어링워크숍
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• 통권4호
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• pp.70-80
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• 2004

Most rail system related simulations currently used are designed to simulate only one discipline system. This obviously assunes the other discipline system are running regularly not being affected by the system being simulated. In this paper a multi discipline simulator is proposed and its design concept is presented.A multi discipline simulator is the simultor in which major subsystems with different technical discipline are simulated simultaneously. The advantage of the simulator is in that it makes it possible to analyze the systems behavior while other discipline system vary. With this we can identify the possible to analyze the systems ehavior find their solutions. A proto type simulator has bee developed using object oriented programming. Object concept was judged best suitable to model the various multi-discipline self-controlling railway subsystems. It was applied to the target system, which is under development by the Korea Railroad Research institute. The test results show it is very useful in design verification. It could also be a good tool in research and development work to make to improe the system.

• Journal of Mechanical Science and Technology
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• 제14권9호
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• pp.956-967
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• 2000

In this paper, we explore the issues of force display in the cooperative virtual environment shared by multiple users distributed over the network with heterogeneous hardware platforms. The proposed method is to cope with the problem of small time delay and the difference of sampling rate in the distributed configuration. In the proposed approach the interaction forces of the participants are just treated as the independent sources of acceleration. Thus the action of a participant simply changes the acceleration of the virtual object and consequently the states of the virtual object will be updated. When the updated states are reported to all the participants, the information on the time of state changes is delivered, too. Employing the discrete state information updated by the other users, each user modifies his own virtual environment and pseudo-realtime simulation can be realized. Excluding the software interface and the communication technique, it is proposed the simulation method for the operation of respective users and the way of calculating the driving input to the display device. For experimental verification we construct a cooperative virtual environment shared by two remote users and outline the results of experiments.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.11-16
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• 2020

Deep Learning has become the most important technology in the field of artificial intelligence machine learning, with its high performance overwhelming existing methods in various applications. In this paper, an interactive window service based on object recognition technology is proposed. The main goal is to implement an object recognition technology using this deep learning technology to remove the existing eye tracking technology, which requires users to wear eye tracking devices themselves, and to implement an eye tracking technology that uses only usual cameras to track users' eye. We design an interactive system based on efficient eye detection and pupil tracking method that can verify the user's eye movement. To estimate the view-direction of user's eye, we initialize to make the reference (origin) coordinate. Then the view direction is estimated from the extracted eye pupils from the origin coordinate. Also, we propose a blink detection technique based on the eye apply ratio (EAR). With the extracted view direction and eye action, we provide some augmented information of interest without the existing complex and expensive eye-tracking systems with various service topics and situations. For verification, the user guiding service is implemented as a proto-type model with the school map to inform the location information of the desired location or building.

• 한국철도학회논문집
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• 제6권4호
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• pp.221-231
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• 2003

Most rail system related simulators currently used are designed to simulate only one discipline system. This obviously assumes the other discipline systems are running regularly not being affected by the system being simulated. In this paper a multi discipline simulator is proposed and its design concept is presented. A multi discipline simulator is the simulator in which major subsystems with different technical discipline are simulated simultaneously. The advantage of the simulator is in that it makes it possible to analyze the systems behavior while other discipline system vary. With this we can identify the possible multi-discipline problems and even find their solutions. A proto type simulator has been developed using object oriented programming. Object concept was judged best suitable to model the various multi-discipline self-controlling railway subsystems. It was applied to the target system, which is under development by the Korea Railroad Research Institute. The test results shows it is very useful in designn verification. It could also be a good tool in research and development work to improve the system.

• 한국정보처리학회논문지
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• 제4권10호
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• pp.2453-2460
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• 1997

소프트웨어 개발방법에서 객체지향 분석방법은 많이 있고 계속적으로 새로운 기법이 소개되고 있다. 그러나 기존의 객체지향 분석방법에서는 정확한 객체의 식별과 확인이 어렵고 소프트웨어의 문제를 데이터에 근거해서 초기에 분해하기 때문에 상위 레벨의 제어 측면을 소홀히 하는 경향이 있다. 그 결과 사용자가 요구하는 소프트웨어에 대한 부정확한 이해와 분석오류를 낳는다. 따라서 본 논문에서는 이러한 문제점에 인식을 갖고 소프트웨어의 분석 단계에서 사용자의 요구가 충분히 반영될 수 있도록 객체모델의 메서드와 STD의 트랜지션 사이에 상호참조를 통해 완전성과 일관성을 검증할 수 있는 TOVERC를 설계하였다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권8호
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• pp.596-600
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• 2009

검증과 확인을 통한 소프트웨어의 효율적인 관리를 지원하기 위하여 객체지향 메트릭 기반의 결함 예측 모형이 많이 제안되고 있다. 제안된 모형은 주로 로지스틱 회귀분석으로 개발하였다. 그리고 개발된 모형의 결함 예측 정확도는 60${\sim}$70%이었다. 본 논문에서는 기존 결함 예측 모형의 효과를 확인하기 위하여 이클립스 3.3을 대상으로 개발된 모형과 유사한 방법으로 실험을 하였다. 실험 결과 모형의 정확성은 약 40%이었다. 이는 주장된 예측력보다 많이 낮은 수치이었다. 또한 단순 로지스틱 회귀분석이 다중 로지스틱 회귀분석보다 높은 예측력을 보였다.

• 대한임베디드공학회논문지
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• 제16권5호
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• pp.163-169
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• 2021

In this paper, we implemented a deep learning-based automatic object tracking and handy motion control drone system and analyzed the performance of the proposed system. The drone system automatically detects and tracks targets by analyzing images obtained from the drone's camera using deep learning algorithms, consisting of the YOLO, the MobileNet, and the deepSORT. Such deep learning-based detection and tracking algorithms have both higher target detection accuracy and processing speed than the conventional color-based algorithm, the CAMShift. In addition, in order to facilitate the drone control by hand from the ground control station, we classified handy motions and generated flight control commands through motion recognition using the YOLO algorithm. It was confirmed that such a deep learning-based target tracking and drone handy motion control system stably track the target and can easily control the drone.

• 한국과학교육학회지
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• 제24권5호
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• pp.1018-1027
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• 2004

이 연구의 목적은 과학적인 현상이 제시되었을 때 초등학생들과 초등예비교사들이 그 현상을 관찰하는 과정에서 생성하는 과학적 의문의 유형을 분석하여 분류하고, 초등학생들과 초등예비교사들이 생성한 의문의 유형과 수를 비교하고자 한다. 연구를 위하여 관찰활동 수행에 적합한 4가지의 과제 즉, 사이다에 담긴 건포도 관찰, 촛불 관찰, 잉크에 염색된 샐러리 관찰, 암석 관찰을 개발하고, 초등학교 6학년 학생 40명과 교원 양성 대학교에서 초등교육을 전공하는 초등예비교사 4학년 학생 20명을 대상으로 과학적 의문의 유형을 조사하였다. 연구 결과, 과학적 의문의 유형은 크게 추측적 의문, 인과적 의문, 예측적 의문, 방법적 의문, 적용적 의문으로 분류하였다. 그리고 이들의 하위 의문으로 각각 대상탐색 의문과 대상확인 의문, 설명자탐색 의문과 설명자확인 의문, 결과탐색 의문과 결과확인 의문, 실례탐색 의문과 실례확인 의문으로 분류하였는데, 방법적 의문에서는 하위 의문이 나타나지 않았다. 초등학생들과 초등예비교사들이 생성한 과학적 의문의 유형은 모두 동일하였으나, 그 빈도에 있어서는 차이가 나타났다.