• Title/Summary/Keyword: Detecting Area

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The Land Cover Change Detection of an Urban Area from Aerial Photos and KOMPSAT EOC Satellite Imagery (항공사진과 KOMPSAT EOC 위성영상으로부터 도시지역의 토지피복 변화 검출)

  • 조창환;배상우;이성순;이진덕
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.177-182
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    • 2004
  • This study presents the application of aerial photographs and KOMPSAT-1 Electro-Optical Camera(EOC) imagery in detecting the change of an urban area that has been rapidly growing. For the study, we used multi-time images which were acquired by two different sensors. For all of the images, the coordinate reference system and scale were first made identical through the 1st and 2nd geometric corrections and then image resampling were carried out to spatial resolution of 7m to detect changes under the same conditions. The Image Differencing was employed as a change detection technique. It was confirmed to be able to detect the changes of terrestrial surface like building, structure and road features from aerial photos and KOMPSAT EOC images with single band. The changes could be detected to some extent with the images acquired from different kinds of sensors as well as the same kinds of sensors.

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Definition of Context-Awareness Model for Detection of Intrusion in Urban Transit (도시철도 침입 탐지 상황인식 모델 정의)

  • An, Tae-Ki;Shin, Jeong-Ryeol;Kim, Gyu-Jin;Chung, Jong-Duk
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1729-1734
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    • 2011
  • Urban transit administers need to introduce the intelligent system to know the situations in the urban transit service area automatically. It is one of the important elements to detect of intrusion in operation room or electric rooms, etc. In this paper, we describe the definition for detection of intrusion in urban transit area, and propose the context-awareness model detect of intrusion. We expect that the definition is helpful to extract the elements that are need to construct the intrusion detecting system. The proposed model that is based on an image analysis model and a rule-based model is also helpful to design intelligent surveillance model.

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In-situ Endpoint Detection for Dielectric Films Plasma Etching Using Plasma Impedance Monitoring and Self-plasma Optical Emission Spectroscopy with Modified Principal Component Analysis

  • Jang, Hae-Gyu;Chae, Hui-Yeop
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.08a
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    • pp.153-153
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    • 2012
  • Endpoint detection with plasma impedance monitoring and self-plasma optical emission spectroscopy is demonstrated for dielectric layers etching processes. For in-situ detecting endpoint, optical-emission spectroscopy (OES) is used for in-situ endpoint detection for plasma etching. However, the sensitivity of OES is decreased if polymer is deposited on viewport or the proportion of exposed area on the wafer is too small. To overcome these problems, the endpoint was determined by impedance signal variation from I-V monitoring (VI probe) and self-plasma optical emission spectroscopy. In addition, modified principal component analysis was applied to enhance sensitivity for small area etching. As a result, the sensitivity of this method is increased about twice better than that of OES. From plasma impedance monitoring and self-plasma optical emission spectroscopy, properties of plasma and chamber are analyzed, and real-time endpoint detection is achieved.

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Depth and Distance Information from Stereo Vision Using Sum of Absolute Differences Algorithm

  • Hai, Le Thanh;Cho, S.H.;Choi, S.;Hwang, H.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • v.11 no.2
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    • pp.447-453
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    • 2006
  • This paper presents an area-based stereo algorithm suitable to real time applications. The core of the algorithm depends on the uniqueness constraint and on a matching process that allows for rejecting previous matches. The proposed approach is compared with the left right consistency constraint, being the latter the basic method for detecting unreliable matches in many area-based stereo algorithms. We used the watermelon and tomatoes for experiments.

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A SENSOR DATA PROCESSING SYSTEM FOR LARGE SCALE CONTEXT AWARENESS

  • Choi Byung Kab;Jung Young Jin;Lee Yang Koo;Park Mi;Ryu Keun Ho;Kim Kyung Ok
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.333-336
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    • 2005
  • The advance of wireless telecommunication and observation technologies leads developing sensor and sensor network for serving the context information continuously. Besides, in order to understand and cope with the context awareness based on the sensor network, it is becoming important issue to deal with plentiful data transmitted from various sensors. Therefore, we propose a context awareness system to deal with the plentiful sensor data in a vast area such as the prevention of a forest fire, the warning system for detecting environmental pollution, and the analysis of the traffic information, etc. The proposed system consists of the context acquisition to collect and store various sensor data, the knowledge base to keep context information and context log, the rule manager to process context information depending on user defined rules, and the situation information manager to analysis and recognize the context, etc. The proposed system is implemented for managing renewable energy data management transmitted from a large scale area.

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Intelligent Air Quality Sensor System with Back Propagation Neural Network in Automobile

  • Lee, Seung-Chul;Chung, Wan-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.468-471
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    • 2005
  • The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. One chip sensor module which include above two sensing elements, humidity sensor and bad odor sensor was developed for AQS (air quality sensor) in automobile. With this sensor module, PIC microcontroller was designed with back propagation neural network to reduce detecting error when the motor vehicles pass through the dense fog area. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation. One chip microcontroller, Atmega128L (ATmega Ltd., USA) was used. For the control and display. And our developed system can intelligently detect the bad odor when the motor vehicles pass through the polluted air zone such as cattle farm.

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Method and Apparatus for Digital Auto Convergence of Projection Video Display

  • Tai, Wen-Chih;Mo, Chi-Neng;Juan, Chang-Jung;Tsai, Ming-Jong
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07b
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    • pp.1171-1174
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    • 2005
  • This thesis provides a new digital convergence method and apparatus which uses area photo sensor and new analog to digital algorithmic to identify the correct digital pattern position factor of the projection system. This method and apparatus can be applied to the convergence correction in a TV receiver with a display that comprises a display screen with photo sensors positioned adjacent to screen edges. It also can be applied to the manufacture process detection of the projection system to adjust the associative convergence parameter. In this paper, demonstrate how this convergence detecting algorithmic was implemented with four area photo sensors of special designed pattern to the rear projection CRT TV.

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Rounding Operations on Shell Meshes (쉘 유한 요소 모델의 라운딩 기능 개발)

  • 이원경;이상헌;인정제
    • Korean Journal of Computational Design and Engineering
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    • v.6 no.2
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    • pp.111-124
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    • 2001
  • In this paper, we propose rounding operations on shell meshes, which give a constant or variable radius of rounding directly to sharp edges on a shell mesh. The rolling-ball methods for freeform surface rounding are introduced to devise the algorithms for these operations. Our algorithms consists of three steps as follows: detecting sharp edges, generating a rolling-ball surface contacting with two face groups adjacent to the sharp edges, and then replacing the rounding area of the original mesh with the mesh generated on the rolling-ball surface. In addition, this paper shows their application to the area of stamping die design. These operations enable CAE engineers to directly change the meshes of stamping tools without modification of CAD models for dies and regeneration of their meshes.

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A Method to Identify the Identification Eye Status for Drowsiness Monitoring System (졸음 방지 시스템을 위한 눈 개폐 상태 판단 방법)

  • Lee, Juhyeon;Yoo, Hyoungsuk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.12
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    • pp.1667-1670
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    • 2014
  • This paper describes a method for detecting the pupil region and identification of the eye status for driver drowsiness detection system. This program detects a driver's face and eyes using viola-jones face detection algorithm and extracts the pupil area by utilizing mean values of each row and column on the eye area. The proposed method uses binary images and the number of black pixels to identify the eye status. Experimental results showed that the accuracy of classification eye status(open/close) was above 90%.

$H_2$ sensor for detecting hydrogen in DI water using Pd membrane (발전기 스테이터의 냉각코일에 pinhole 발생을 검지 할 수 있는 수소센서 개발)

  • Choi, Sie-Young
    • Proceedings of the KIEE Conference
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    • 1999.11b
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    • pp.442-445
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    • 1999
  • In this work, to detect of hydrogen in DI water in the generator area of nuclear power plants was fabricated Pd/Pt gate MISFET sensor using Pd membrane. $H_2$ permeation through Pd accounts for external mass transfer, surface adsorption and desorption, transitions to and from the bulk metal, and diffusion within the metal. The identification of pinholes in the generator area of plant is an important safety consideration, as hydrogen build-up gives rise to explosion. For this type of application the sensor needs to be isolated in DI water, accordingly, a Pd membrane was used to separate the DI water. The hydrogen in the DI water was then absorbed on the Pd thin film and diffused into the oil through the thin film. The Pd/Pt gate MISFET sensor, encapsulated by oil, will thereby detect permeated hydrogen.

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