• Title/Summary/Keyword: line sampling

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A Study on Straight Line Trajectoties of Robot Mainpulator in Cartesian Space (직각좌표 공간에서 로봇 매니퓰레이터의 직선 궤적계획에 관한 연구)

  • Han, Sang-Wan;Hong, Suk-Kyo
    • Proceedings of the KIEE Conference
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    • 1991.07a
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    • pp.763-766
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    • 1991
  • The moving of each axis in the robot manipulator can be represented with the motion of cartesian space. This paper shows the robot manipulator of the straight line trajectory planning algorithms in the cartesian space. The relation formulas between cartesian space and joint space are induced to accomplish a desired trajectory in the cartesian space and the velocity vector of sampling time in the cartesian space is transformed into the velocity vector of joint by the interpolation method. The error of trajectory in moving is removed by obtaining the real position for the present joint position and the desired distance is made by comparing the real position and the next position. Through the simple tests for suggested algorithms are confirmed the validity of algorithms.

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Design on SDS2 On-line Poison Concentration Monitoring in CANDU

  • Kim, Seog-Nam;Jung, Ho-Chang;Kim, Sung;Kim, Ji-Hyeon;Han, Sang-Joon
    • Nuclear Engineering and Technology
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    • v.28 no.5
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    • pp.500-505
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    • 1996
  • At the reference plant(Wolsong unit No. 1) a manual poison sampling system is provided to periodically sample gadolinium from each tank and analyze it in the laboratory to provide assurance that adequate poison concentration in each tank is maintained. The AECB required a continuous, on-line monitoring system. On Wolsong unit No. 2, process piping adapter and new instrument loops added to the Liquid Injection Shutdown System(LISS) which is part of SDS2. The new instrument loops continuously monitor SDS2 poison conductivity and initiate an alarm when the poison concentration is too low.

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다목적 위성 2호 MSC의 TDI 방식에 따른 MSC 영상 자료에 대한 영향

  • 이동한
    • Bulletin of the Korean Space Science Society
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    • 2003.10a
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    • pp.104-104
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    • 2003
  • 본 포스터에서는 다목적 위성 2호의 주 탑재체인 MSC(Multi-Spectral Camera)가 TDI(Time Delayed Integration) 방식을 채택함에 따라, TDI에 의해 MSC 영상 자료가 어떻게 영향을 받게 되는 지를 연구한 내용을 설명한다. MSC는 지상 해상도가 1m인 고해상도에서 영상을 촬영하기 때문에 상대적으로 입사 광량이 부족한 문제를 안고 있음에 따라 32 line의 TDI 방식을 사용한다. TDI 방식을 사용하여 MSC에서 직하방향으로 영상을 촬영할 경우, 영상의 가운데 pixel에서 멀어질수록 TDI에 의해 영상의 MTF 값이 떨어지는 결과가 발생한다. 또한, 다목적 위성 2호는 Roll 축을 중심으로 $\pm$30도 Pitch 축을 중심으로 $\pm$30도 tilt를 하여 영상을 촬영하도록 운영될 예정이기 때문에 더더욱 TDI에 의채 영상의 MTF 값이 떨어지는 결과가 발생하게 된다. 이외에도 TDI는 다목적 위성 2호의 고도가 감소하거나, Yaw 축의 변화, Jitter 등에 의해서도 영상의 MTF 값이 감소하게 된다. 물론 MSC CCD pixel의 sampling rate인 Line Rate 값을 각각의 경우에 따라 적절한 값을 부여함으로써 TDI에 의한 MTF 값의 감소를 많은 부분은 수습할 수 있으나 완벽한 보정은 힘든 상황이다.

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Clustering Algorithm by Grid-based Sampling

  • Park, Hee-Chang;Ryu, Jee-Hyun;Lee, Sung-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.535-543
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    • 2003
  • Cluster analysis has been widely used in many applications, such as pattern analysis or recognition, data analysis, image processing, market research on on-line or off-line and so on. Clustering can identify dense and sparse regions among data attributes or object attributes. But it requires many hours to get clusters that we want, because clustering is more primitive, explorative and we make many data an object of cluster analysis. In this paper we propose a new method of clustering using sample based on grid. It is more fast than any traditional clustering method and maintains its accuracy.

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Clustering Algorithm by Grid-based Sampling

  • Park, Hee-Chang;Ryu, Jee-Hyun
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.05a
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    • pp.97-108
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    • 2003
  • Cluster analysis has been widely used in many applications, such that pattern analysis or recognition, data analysis, image processing, market research on on-line or off-line and so on. Clustering can identify dense and sparse regions among data attributes or object attributes. But it requires many hours to get clusters that we want, because of clustering is more primitive, explorative and we make many data an object of cluster analysis. In this paper we propose a new method of clustering using sample based on grid. It is more fast than any traditional clustering method and maintains its accuracy. It reduces running time by using grid-based sample. And other clustering applications can be more effective by using this methods with its original methods.

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A Study on the Professional Image Concept for Appearance Management in the Workplace (Part II) (직장인의 외모관리를 위한 프로페셔널 이미지의 개념 연구 (제2보))

  • Yoo, Hee;Choi, Sun-Hyung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.9
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    • pp.952-965
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    • 2012
  • This study verifies the constituents of the professional image by a quantitative method that follows previous qualitative work to clarify the conceptual structure of the professional image for appearance management in the workplace. This study used on-line and off-line data from a positive sampling that involved 1,056 male and female workers engaged in 10 occupational classes. The results of the study were as follows: First, the constituents of a professional image include openness, leadership, harmonious relationship, and financial power, all of which demonstrated a high interrelationship. Second, there are significant differences in favorable factors according to the occupational category. It is important to strategically manage the professional image in consideration of effective image factors and related appearance attributes.

Estimation of Real Boundary with Subpixel Accuracy in Digital Imagery (디지털 영상에서 부화소 정밀도의 실제 경계 추정)

  • Kim, Tae-Hyeon;Moon, Young-Shik;Han, Chang-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.8
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    • pp.16-22
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    • 1999
  • In this paper, an efficient algorithm for estimating real edge locations to subpixel values is described. Digital images are acquired by projection into image plane and sampling process. However, most of real edge locations are lost in this process, which causes low measurement accuracy. For accurate measurement, we propose an algorithm which estimates the real boundary between two adjacent pixels in digital imagery, with subpixel accuracy. We first define 1D edge operator based on the moment invariant. To extend it to 2D data, the edge orientation of each pixel is estimated by the LSE(Least Squares Error)line/circle fitting of a set of pixels around edge boundary. Then, using the pixels along the line perpendicular to the estimated edge orientation the real boundary is calculated with subpixel accuracy. Experimental results using real images show that the proposed method is robust in local noise, while maintaining low measurement error.

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A Power-line Frequency Monitoring Intelligent Electronic Device(IED) Platform (전력선 주파수 모니터링을 위한 Intelligent Electronic Device(IED) 플랫폼)

  • Jeon, Hyeon-Jin;Yi, Don-Jin;Jeon, Jun-Gil;Chang, Tae-Gyu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.5
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    • pp.1047-1049
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    • 2009
  • This paper presents an intelligent electronic device(IED) platform which is based on a new frequency estimation algorithm. The IED platform features not only the accurate estimation of frequency but also the fast network-based transmisstion of fault data and waveforms. The simulation results show that the proposed frequency estimation algorithm improves convergence speed, and has lower frequency estimation error compared with those of conventional algorithms. The network-based IED is designed to ensure transmission latency being less than 1.0% of sampling interval.

Velocity Measurement of Fast Moving Object for Traffic Information Acquisition (트래픽 정보 취득을 위한 고속이동물체 속도 측정)

  • Lee Jooshin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.11C
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    • pp.1527-1540
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    • 2004
  • In this paper, velocity measurement of fast moving object for traffic information acquisition using line sampling of image is proposed. Velocity measurement for traffic information acquisition of moving object is that the first sample line and second sample line on the road is set, then car is detected by using difference image method between time-variance hue data of image when car is passing two sample lines and hue data of the reference image, and velocity of the car is measured by using frame number of video which is occupied by two sample lines. Identification of the car is performed by hue of the detected car between the first sample line and second sample line, respectively To examine the propriety of the proposed algorithm, identification and velocity measurement for driving car is evaluated. The evaluated results is that it is identified by hue data of car passing two sample lines, and the velocity measurement for driving car is less than 3% comparing with X-band speed gun.

Development of Analytical Method and Monitoring of Organophosphorus Pesticides in the Raw Water and Clean Water by Liquid Chromatography-Tandem Mass Spectrometry (LC/MS/MS를 이용한 유기인계 농약류의 최적 분석법 정립과 원·정수에서의 모니터링)

  • Kim, Gyung-A;Song, Mi-Jeong;Yeom, Hoon-Sik;Son, Hee-Jong;Lee, Sang-Won;Choi, Jin-Tack
    • Journal of Environmental Science International
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    • v.24 no.12
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    • pp.1569-1582
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    • 2015
  • The analytical method for 16 organophosphorus pesticides was developed in this study. The 16 organophosphorus pesticides were analyzed by liquid chromatography-tandem mass spectrometry (LC/MS/MS) using on-line solid phase extraction (on-line SPE) with PLRP- S cartridge. Analysis of all analytes in the MS/MS was processed in the electrospray ioni-zation (ESI) positive mode. They are Azinphos ethyl, Chlorfenvinphos, Ethion, Famphur, Phosmet, Phosphamidon, Terbufos, Aspon, Chlorpyrifos-methyl, Crotoxyphos, Dichlofenthi-on, Dicrotophos, Fonofos, Thionazin, Dimethoate and Iprobenfos. Limits of detection (LODs) and Limits of quantification(LOQs) were obtained as 0.8~2.0 ng/L and 2.6~6.4 ng/L, respectively. All compounds were not detected at the 8 sampling points of the raw water and clean water.