• Title/Summary/Keyword: detection technique

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An Advanced Instrumentation Signal Analyzing Technique for Automated Power Plant Monitoring and Fault Diagnosis (발전소 운전감시 및 고장진단을 위한 계측기기 신호의 전처리 기법에 관한 연구)

  • Chang, Tae-Gyu
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.450-453
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    • 1996
  • This research presents a new method of detecting and diagnosing faults of a power plant. Detection of characteristic wave patterns from multichannel instrumentation signals forms the basis of the proposed approach. The dynamics of 500MW drum-type boiler (Boryung coal-fired plant unit #1 and #2) and its control systems are modeled and simulated to generate diverse operation patterns and fault situations and to utilize them for the development of the fault detection algorithms. The results of the boiler system modeling and simulations show a fairly high agreement when compared with some of the actual plant performance test data.

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Edge Detection in Blurred and Noisy Image Using Fuzzy Method (퍼지 기법을 이용한 열화된 영상에서의 에지 검출)

  • Jung, Jae-Woo;Chung, Tae-Yun;Jung, Jin-Yang;Huh, Jae-Man;Han, Young-Oh;Park, Sang-Hui
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.294-296
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    • 1996
  • The process of detecting edge in an image is an important component of many Pattern Recognition and Computer Vision applications. In many practical cases, there exist blurred images due to defocussing, movement of an object and so on. In addition, local perturbation noise can be added to the images. We propose the edge detection technique in blurred and noisy image. For this, we use Fuzzy pyramid linking mothod to remove noise and enhance the edge in images. We develop contrast intensifier using the concept of Fuzzy sets as a postprocessing.

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A Study on Detection of Object Position and Displacement for Obstacle Recognition of UCT (무인 컨테이너 운반차량의 장애물 인식을 위한 물체의 위치 및 변위 검출에 관한 연구)

  • 이진우;이영진;조현철;손주한;이권순
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1999.10a
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    • pp.321-332
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    • 1999
  • It is important to detect objects movement for obstacle recognition and path searching of UCT(unmanned container transporters) with vision sensor. This paper shows the method to draw out objects and to trace the trajectory of the moving object using a CCD camera and it describes the method to recognize the shape of objects by neural network. We can transform pixel points to objects position of the real space using the proposed viewport. This proposed technique is used by the single vision system based on floor map.

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A Joint Channel Estimation and Data Detection for a MIMO Wireless Communication System via Sphere Decoding

  • Patil, Gajanan R.;Kokate, Vishwanath K.
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.1029-1042
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    • 2017
  • A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

Fault Diagnosis of a Voltage-Fed PWM Inverter for a Three-parallel Power Conversion System in a Wind Turbine

  • Ko, Young-Jong;Lee, Kyo-Beum
    • Journal of Power Electronics
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    • v.10 no.6
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    • pp.686-693
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    • 2010
  • In this paper, a fault diagnosis method based on fuzzy logic for the three-parallel power converter in a wind turbine system is presented. The method can not only detect both open and short faults but can also identify faulty switching devices without additional voltage sensors or an analysis modeling of the system. The location of a faulty switch can be indicated by six-patterns of a stator current vector and the fault switching device detection is achieved by analyzing the current vector. A fault tolerant algorithm is also presented to maintain proper performance under faulty conditions. The reliability of the proposed fault detection technique has been proven by simulations and experiments with a 10kW simulator.

Satellite monitoring of large-scale air pollution in East Asia

  • Chung, Y.S.;Park, K.H.;Kim, H.S.;Kim, Y.S.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.786-789
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    • 2003
  • The detection of sandstorms and industrial pollutants has been the emphasis of this study. Data obtained from meteorological satellites, NOAA and GMS, have been used for detailed analysis. MODIS and Landsat images are also used for the application of future KOMPSAT- 2. Verification of satellite observations has been made with air pollution data obtained by ground-level monitors. It was found that satellite measurements agree well with concentrations and variations of air pollutants measured on the ground, and that satellite technique is a very useful device for monitoring large-scale air pollution in East Asia. The quantitative analysis of satellite image data on air pollution is the goal in the future studies.

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A Study on the Development and the Monitoring of Micro Hole Drilling Machine (미소경 드릴링 머신의 시작과 감시에 관한 연구)

  • 백인환;정우섭
    • Journal of Advanced Marine Engineering and Technology
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    • v.18 no.4
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    • pp.62-68
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    • 1994
  • Recently, the trends toward reduction in size and weight of industrial products increased the application of micro hole for manufacturing gadgets of high precision and gave rise to a great deal of interest for micro hole drilling M/C. Quite a few research work is performed on micro drilling on domestic basis compared with the tendency of analyzing cutting mechanism, adaptive control, monitoring of generally available drills of diameter greater than 1mm. This study adresses the design, manufacturing and controlling a micro hole drilling M/C with the overload detection instrument and the step feed mechanism. Controlling and monitoring of the drilling process are acomplished on PC basis for more user interfaces and effectiveness. The test machine of the results of this research shows a good foundation for extending further micro hole machining technique.

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Crater Wear Measurement Using Computer Vision and Automatic Focusing (컴퓨터 비젼 및 자동초점장치를 이용한 크레이타 마멸측정)

  • Yang, Min-Yang;Gwon, O-Dal
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.12
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    • pp.3759-3766
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    • 1996
  • In this paper a new gefchmique to measaure the creater wear using image processing and automatic focusing is presented. The contour detection algorithm, which can adopt ina noisy image, is suggested. It is suitable for eliminating high frequency noses with lower processing time and without blurring. An automatic focusing technique is applied to measure a createrwear depth with a one-dimensional search algorithm for finding the bestfocus. This method is implemented in the tool microscope driven by a servo motor. The results show that the countour and depth of crater wear can be measured reliably.

File Carving: JPEG Image Fragmentation Point Detection for Digital Forensics (파일 카빙: 디지털 포렌식을 위한 JPEG 이미지 단편화 지점 감지)

  • Lkham, Nurzed;Park, Dong-Joo
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.245-247
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    • 2012
  • We know that JPEG image format is one of the most popular image formats in the digital area and distribution of digital photographic drawing it is interested frequently in certain types of forensic investigation. In most case, corrupted images are shown gaudiness with the boundary of the corrupted parts. In the paper, we propose a technique to carve correct JPEG images using transformation method and the approach can be used for JPEG image file carving tool development.

Techniques for Background Updating under PTZ Camera Based Surveillance

  • Jung, Sung-Hoon;Kim, Min-Hwan
    • Journal of Korea Multimedia Society
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    • v.12 no.12
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    • pp.1745-1754
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    • 2009
  • PTZ (Pan-Tilt-Zoom) camera based surveillance systems are enlarging their field of application due to their wide observable area. We aimed to detect both static and moving objects in automated working space by using a PTZ camera. For object detection we used background difference method because of the high quality segmentation. However, the method has a problem called 'hole' that is caused by non-continuous surveillance of the PTZ camera and its own characteristics. Moreover, the occlusion which occurs when the moving object overlaps with the static object should be solved for robust object detection. In this paper, we suggest a region-based technique for updating background images thereby overcoming the hole and occlusion problem. Through experiments with real scenes, it was verified that meaningful static and/or moving objects were detected very well.

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