• 제목/요약/키워드: Remote Training

검색결과 321건 처리시간 0.023초

Urban Growth of Chuncheon City Observed by Landsat Satellite Images

  • Ahn, Young-Jin;Lee, Hoon-Yol
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.411-414
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    • 2005
  • In this study, 8 Landsat(TM/ETM+) satellite images acquired from 1984 to 2002 were used to investigate the growth of Chuncheon city, Kangwon-do, Korea. The images were geocoded and classified using training set collected from field survey. Four land-use types were classified such as urban area, green zone, agricultural land and water body. It also showed rapid increase of urban area in the past two decades from 1166ha in 1984 to 3358ha in 2002. About 2182ha of agricultural land and green zone have been changed to urban area. Agricultural land was newly formed from the green zone.

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POTENTIAL OF HYPERSPECTRAL DATA FOR THE CLASSIFICA TION OF VITD SOIL CLASSES

  • Kim Sun-Hwa;Ma Jung-Rim;Lee Kyu-Sung;Eo Yang-Dam;Lee Yong-Woong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.221-224
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    • 2005
  • Hyperspectral image data have great potential to depict more detailed information on biophysical characteristics of surface materials, which are not usually available with multispectral data. This study aims to test the potential of hyperspectral data for classifying five soil classes defined by the vector product interim terrain data (VITD). In this study, we try to classify surface materials of bare soil over the study area in Korea using both hyperspectral and multispectral image data. Training and test samples for classification are selected with using VITD vector map. The spectral angle mapper (SAM) method is applied to the EO-I Hyperion data and Landsat ETM+ data, that has been radiometrically corrected and geo-rectified. Higher classification accuracy is obtained with the hyperspectral data for classifying five soil classes of gravel, evaporites, inorganic silt and sand.

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THE CROSSING APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO LANDSLIDE SUSCEPTIBILITY MAPPING AT KANGNEUNG, KOREA

  • LEE MOUNG-JIN;WON JOONG-SUN;LEE SARO
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.363-366
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    • 2004
  • The purpose of this study is to reveal the spatial relationship between landslides and geospatial data set and to map the landslide susceptibility using this relationship, and the landslide occurrence data in Kangneung area in 2002. Landslide locations were identified from interpretation of satellite images. Landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Susceptibility maps were constructed from Geographic Information System (GIS), The cases were overlaid and cross overlaid for landslide susceptibility mapping in each study area in Kangneung.

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Manual control of a flexible arm and application to automatic control systems

  • Sasaki, Minoru;Inooka, Hikaru;Ishikura, Tadashi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.905-908
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    • 1987
  • A human operator has the ability to control a complicated system such as a gantry crane, an aircraft and a remote manipulator after enough training and learning. In this article, we attempt the positioning experiment of a flexible arm by a human operator. Flexible arm has nonlinearlity and infinite-degrees of freedom in general; thus it is difficult to obtain a control input. The operator interprets a given task and finds the procedure of operations. He devises an effective way of achieving the goal on the basis of his experience and knowledge about the task.

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가변 출력층 구조의 경쟁학습 신경회로망을 이용한 패턴인식 (Pattern recognition using competitive learning neural network with changeable output layer)

  • 정성엽;조성원
    • 전자공학회논문지B
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    • 제33B권2호
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    • pp.159-167
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    • 1996
  • In this paper, a new competitive learning algorithm called dynamic competitive learning (DCL) is presented. DCL is a supervised learning mehtod that dynamically generates output neuraons and nitializes weight vectors from training patterns. It introduces a new parameter called LOG (limit of garde) to decide whether or not an output neuron is created. In other words, if there exist some neurons in the province of LOG that classify the input vector correctly, then DCL adjusts the weight vector for the neuraon which has the minimum grade. Otherwise, it produces a new output neuron using the given input vector. It is largely learning is not limited only to the winner and the output neurons are dynamically generated int he trining process. In addition, the proposed algorithm has a small number of parameters. Which are easy to be determined and applied to the real problems. Experimental results for patterns recognition of remote sensing data and handwritten numeral data indicate the superiority of dCL in comparison to the conventional competitive learning methods.

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기계식 Master-Slave 조작기의 그래픽 시뮬레이터 (Graphic Simulator of the Mechanical Master-Slave Manipulator)

  • 이종열;송태길;김성현;홍동희;정재후;윤지섭
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.743-746
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    • 1997
  • The Master-Slave manipulator is the generally used remote handling equipment in the hot cell, in which the high level radioactive materials such as spent fuels are handled. To analyze the motion and to implement the training system by virtual reality technology, the simulator for M-S manipulator using the computer graphics is developed. The parts are modelled in 3-D graphics, assembled, and kinematics are assigned. The inverse kinematics of the manipulator is defined, and the slave of manipulator is coupled with master by the manipulator's specification. Also, the virtual workcell is implemented in the graphical environment which is the same as the real environment. This graphic simulator of manipulator can be effectively used in designing of the maintenance processes for the hot cell equipment and enhance the reliability of the spent fuel management.

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GIS DETECTION AND ANALYSIS TECHNIQUE FOR ENVIRONMENTAL CHANGE

  • Suh, Yong-Cheol;Choi, Chul-Uong;Kim, Ji-Yong;Kim, Tae-Woo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.163-168
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    • 2008
  • KOMPSAT-3 is expected to provide data with 80-cm spatial resolution, which can be used to detect environmental change and create thematic maps such as land-use and land-cover maps. However, to analyze environmental change, change-detection technologies that use multi-resolution and high-resolution satellite images simultaneously must be developed and linked to each other. This paper describes a GIS-based strategy and methodology for revealing global and local environmental change. In the pre-processing step, we performed geometric correction using satellite, auxiliary, and training data and created a new classification system. We also describe the available technology for connecting global and local change-detection analysis.

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CBD 방법론을 적용한 원격교원연수 시스템의 개발 (A Development of the Remote Teacher's Training Cyber System Applied by CBD Methodology)

  • 허영;김원영;김치수;김진수
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2000년도 추계학술발표논문집 (상)
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    • pp.485-488
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    • 2000
  • 인터넷을 통한 웹 기반 교수-학습시스템은 상호작용 중진을 통한 학습자 위주의 교육환경으로 지속적인 변화를 해왔고, 그 결과 학습자는 시간과 공간의 제약에서 벗어나 다양한 교육정보를 접할 수 있는 기회를 가지게 되었다. 본 논문에서는 교사를 대상으로 하는 원격교육 시스템에 한정하여 시스템개발에서 운영에 이르기까지의 모든 과정에 대한 경제적, 교육적 효율성 확보를 목적으로 하였다. 따라서 시스템 개발에서는 주요 모듈의 컴포넌트화를 시도하여 재사용성 증대를 통한 설계 기간 및 비용의 감소를 이끌어내어 개발의 효율성을 높이고, 교육학적 기반으로 구성주의 원리를 적용함으로써 교육의 효율성을 최대로 끌어올릴 수 있도록 설계하였다.

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북한 산악지역의 개간지 및 산림 특성에 관한 연구 (LAND COVER CHARACTERISTICS OF MOUNTAIN REGIONS IN NORTH KOREA)

  • 차수영;박종화
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 춘계학술대회 논문집
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    • pp.109-112
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    • 2008
  • 현재 북한 토지피복 특성 중의 하나인 과도한 산지의 농지로의 전용은 홍수 등 자연재해를 일으키는 원인이 되고 있지만 북한에 대한 참조자료의 부족으로 피해규모나 상황에 대한 이해가 부족하다. 본 연구는 북한 양강도 산간지역을 대상으로 개간농지와 산림의 토지피복특성을 가을시기(2005 년 10 월 25 일) Quickbird (<0.6m) 위성영상의 육안분석과 분광특성을 이용하여 정확한 토지피복분류에의 기초 정보를 제공하는 것을 목적으로 한다. 토지피복 유형별 Training area 의 ROI(Region of Interest)의 면적은 2500pixel 로 하였고, 이것을 다시 .shp 파일로 변환하여 GoogleEarth 에서 표고 및 경사 등 보다 자세한 지형지물을 확인하였다. Quickbird 영상의 NDVI 분석을 통해 0.2 정도에서 식생과 농경지로 구분하는 임계값(Threshold)을 추정할 수 있었지만 늦게까지 추수를 끝내지 않은 농작물이나 이모작 농작물의 경우는 산림과 혼재되어 나타나고 있었다. 또한, 산림의 북사면은 수역 다음으로 낮은 NDVI 값을 나타내어 지형의 영향이 나타나고 있음을 알 수 있었다.

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다중 참여자 가상환경에서의 촉각상호작용기술 (Haptic Display in Multi-user Virtual World)

  • 최혁렬;류성무
    • 한국정밀공학회지
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    • 제16권5호통권98호
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    • pp.112-123
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    • 1999
  • Virtual reality is becoming a powerful tool for various applications such as training, entertainment, surgery, tele-robotics etc. One potential use for virtual reality is to allow several users to interact in a single virtual environment, for example several students sitting in front of different computers connected over a network. In this paper, we present a loosely coupled architecture of haptic display in the multi-user virtual world. The method of controlling haptic devices as well as the way of configuring individual haptic display system are addressed. We will develop an experimental virtual reality system for two remote users and conclude with an experimental work for the task of a multi-player ping-pong and grasping of a common object.

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