• Title/Summary/Keyword: Time-series image

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Development of Visual Servo Control System for the Tracking and Grabbing of Moving Object (이동 물체 포착을 위한 비젼 서보 제어 시스템 개발)

  • Choi, G.J.;Cho, W.S.;Ahn, D.S.
    • Journal of Power System Engineering
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    • v.6 no.1
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    • pp.96-101
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    • 2002
  • In this paper, we address the problem of controlling an end-effector to track and grab a moving target using the visual servoing technique. A visual servo mechanism based on the image-based servoing principle, is proposed by using visual feedback to control an end-effector without calibrated robot and camera models. Firstly, we consider the control problem as a nonlinear least squares optimization and update the joint angles through the Taylor Series Expansion. And to track a moving target in real time, the Jacobian estimation scheme(Dynamic Broyden's Method) is used to estimate the combined robot and image Jacobian. Using this algorithm, we can drive the objective function value to a neighborhood of zero. To show the effectiveness of the proposed algorithm, simulation results for a six degree of freedom robot are presented.

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The development of automated colony counter using image processing (영상 처리방식 자동 미생물 콜로니 계수장비 개발)

  • Lee, Kyu-Hwan;Oh, Young-Tack;Yoon, Ju-Hyeong;Chang, In-Bae
    • Journal of Industrial Technology
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    • v.29 no.A
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    • pp.61-65
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    • 2009
  • A colony counting on a petri-dish is a laborious task in microbiology fields that automated counting systems are needed. But lots of such systems are high price that majorities of labs rely on the manual counting and it is a time consuming and laborious job. In this study, an attempt was made to select the relative atmospheric correction method for the water quality factors extraction from the satellite image data. And also, the time-series analysis of the water quality factors was performed by using the multi-temporal image data. The result shows that the proposed method can be commercialized with low prices.

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A Study on the Tool Fracture Detection Algorithm Using System Identification (시스템인식을 이용한 공구파손검출 알고리듬에 관한 연구)

  • Sa, Seung-Yun;Yu, Eun-Lee;Ryu, Bong-Hwan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.6
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    • pp.988-994
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    • 1997
  • The demands for robotic and automatic system are continually increasing in manufacturing fields. There have been many studies to monitor and predict the system, but they have mainly focused upon measuring cutting force, and current of motor spindle, and upon using acoustic sensor, etc. In this study, digital image of time series sequence was acquired by taking advantage of optical technique. Mean square error was obtained from it and was available for useful observation data. The parameter was estimated using PAA(parameter adaptation algorithm) from observation data. AR(auto regressive) model was selected for system model and fifth order was decided according to parameter estimation. Uncorrelation test was also carried out to verify convergence of parameter. Through the proceedings, it was found that there was a system stability.

Fuzzy PID Control of Warranty Claims Time Series (보증 클레임 시계열 데이터를 위한 퍼지 PID 제어)

  • Lee, Sang-Hyun;Lee, Sang-Joon;Moon, Kyung-Il;Cho, Sung-Eui
    • Journal of Information Technology Services
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    • v.8 no.4
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    • pp.175-185
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    • 2009
  • Objectifying claims filed during the warranty period, analyzing the current circumstances and improving on the problem in question is an activity worth doing that could reduce the likelihood of claims to occur, cut down on the costs, and enhance the corporate image of the manufacturer. Existing analyses of claims are confronted with two problems. First, you can't precisely assess the risks of claims involved by means of the value of claims per 100 products alone. Second, even in a normal state, the existing approach fails to capture the probabilistic conflicts that escape the upper control limit of claims, thus leading to wrong control activities. To solve the first problem, this paper proposed that a time series detection concept where the claim rate is monitored based on the date when problems are processed and a hazard function for expression of the claim rate be utilized. For the second problem, this paper designed a model whereby to define a normal state by making use of PID (Proportion, Integral, Differential) and infer by way of a fuzzy concept. This paper confirmed the validity and applicability of the proposed approach by applying methods suggested in the actual past data of warranty claims of a large-scaled automotive firm, unlike hypothetical simulation data, in order to apply them directly in industrial job sites, as well as making theoretical suggestions for analysis of claims.

Examination of Topographical Shape Change in River using Time-series Aerial Photo (시계열 영상정보를 이용한 하천 지형태 변화 검토)

  • Lee, Geun-Sang;Lee, Hyun-Seok;Hwang, Eui-Ho;Lee, Eul-Rae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.2136-2140
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    • 2008
  • Recently environmental and ecological river management have been held in high repute, therefore it needs to river restoration and management works considering topographical shape of river. This study estimated the change of topographical shape in Gab- and Yudeung-River using time-series aerial photos. Especially, we selected location points of river facilities as weir and bridge that were built and removed and the confluence of Gab- and Yudeung-River. And we investigated the change of time-series flux and flow-direction. Also, through the estimation of sediment by river flow together, it is possible to supply decision making data that is very important to instream flow and environmental and ecological river restoration in urban stream.

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Development of a real-time surface image velocimeter using an android smartphone (스마트폰을 이용한 실시간 표면영상유속계 개발)

  • Yu, Kwonkyu;Hwang, Jeong-Geun
    • Journal of Korea Water Resources Association
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    • v.49 no.6
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    • pp.469-480
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    • 2016
  • The present study aims to develop a real-time surface image velocimeter (SIV) using an Android smartphone. It can measure river surface velocity by using its built-in sensors and processors. At first the SIV system figures out the location of the site using the GPS of the phone. It also measures the angles (pitch and roll) of the device by using its orientation sensors to determine the coordinate transform from the real world coordinates to image coordinates. The only parameter to be entered is the height of the phone from the water surface. After setting, the camera of the phone takes a series of images. With the help of OpenCV, and open source computer vision library, we split the frames of the video and analyzed the image frames to get the water surface velocity field. The image processing algorithm, similar to the traditional STIV (Spatio-Temporal Image Velocimeter), was based on a correlation analysis of spatio-temporal images. The SIV system can measure instantaneous velocity field (1 second averaged velocity field) once every 11 seconds. Averaging this instantaneous velocity measurement for sufficient amount of time, we can get an average velocity field. A series of tests performed in an experimental flume showed that the measurement system developed was greatly effective and convenient. The measured results by the system showed a maximum error of 13.9 % and average error less than 10 %, when we compared with the measurements by a traditional propeller velocimeter.

An Adaptive Fast Image Restoration Filter for Reducing Blocking Artifacts in the Compressed Image (압축 영상의 블록화 제거를 위한 적응적 고속 영상 복원 필터)

  • 백종호;이형호;백준기;윈치선
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06a
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    • pp.223-227
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    • 1996
  • In this paper we propose an adaptive fast image restoration filter, which is suitable for reducing the blocking artifacts in the compressed image in real-time. The proposed restoration filter is based on the observation that quantization operation in a series of coding process is a nonlinear and many-to-one mapping operator. And then we propose an approximated version of constrained optimization technique as a restoration process for removing the nonlinear and space varying degradation operator. We also propose a novel block classification method for adaptively choosing the direction of a highpass filter, which serves as a constraint in the optimization process. The proposed classification method adopts the bias-corrected maximized likelihood, which is used to determine the number of regions in the image for the unsupervised segmentation. The proposed restoration filter can be realized either in the discrete Fourier transform domain or in the spatial domain in the form of a truncated finite impulse response (FIR) filter structure for real-time processing. In order to demonstrate the validity of the proposed restoration filter experimental results will be shown.

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Analysis of Forest Fire Damage by Using Two Times series for Ground Truth Data (두 시기의 실측자료에 의한 산불 피해 정도 분석)

  • Kim, Dong-Hee;Choi, Seung-Pil;Choi, Chul-Soon;Ryutaro, Tateishi
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.139-144
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    • 2006
  • Forest fire is due to difficulty in approaching the forest fire at the time of forest fire and quite a long of time required for post-fire investigation, accurate analysis of damages to the forest area caused by forest fire is difficult to obtain. Recently, In attempt to overcome such difficulty, many researches are using satellite images. Nevertheless, it is not easy for everyone to obtain the satellite image data, and additional researches in order to verify accuracy of such data are also required. Therefore, in this study for satellite image to about damages to the forest areas caused by forest fire using tile selected two data of spectral reflectance of the vegetation, gained by using a spectrometer. That is we wished to search about mistake that is apt to happen by one time eyesight observation by analyzing two datas that is used spectral radiometer 3 months and 6 months later and gets.

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Real-time Analysis of Exhaust Gas Temperature Field in Turbulent Flow Using Laser Absorption Spectroscopy (레이저흡수분광을 이용한 난류유동 배기가스 온도장 실시간 분석 연구)

  • Doo Won Choi
    • Journal of the Korean Society for Heat Treatment
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    • v.37 no.2
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    • pp.73-78
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    • 2024
  • This study presents a real-time method that uses Laser Absorption Spectroscopy (LAS) to measure exhaust gas temperatures in turbulent flow fields. It was possible to measure temperature by passing a laser beam through the exhaust gas in a grid pattern, and obtain a temperature distribution image through time series analysis at 0.1 second intervals. Temperature image resolution has been improved with CT reconstruction algorithms. Estimating maximum temperature values and locations enabled 2D temperature analysis, surpassing single-point methods like thermocouples. The accuracy of LAS measurements was evaluated by comparison with thermocouple measurements. This approach will contribute to automotive technology and environmental protection by providing reliable temperature data for interpreting turbulent temperature distributions.

Visualization of Elastic Waves Propagating on a Solid Surface with Fatigue Cracks by Laser Ultrasonic Technology

  • Imade, Masaaki;Miyauchi, Hidekazu;Okada, Saburo;Yamamoto, Shigeyuki;Takatsubo, Jyunji
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.109.4-109
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    • 2001
  • We have developed a laser ultrasonic system for visualization of elastic waves propagating on a solid surface, in order to visualize ultrasonic waves propagating on opaque media. This system can produce a series of successive images as an animation of wave propagation, because of scanning an optical heterodyne probe to measure surface transient displacements. Using this visualization technique, we observed the scattering and diffraction of ultrasonic waves around various shapes of artificial defects, and examined its application to nondestructive inspection. This imaging system provides various kinds of visualization images such as propagation image, amplitude image, arrival time image and velocity image. We have been confident that this technique is available for nondestructive inspection and materials ...

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