• Title/Summary/Keyword: Detecting Effectiveness

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Design of Network-based Automation System for Detecting Metallic Objects in Food and Livestock (식품 및 축산물 금속검출기를 위한 네트워크 기반 자동화 시스템 설계)

  • Hang-Seok Cho;Dongik Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.3
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    • pp.109-116
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    • 2023
  • This paper presents a network-based automation system for the detection of metallic objects in food and livestock. A metal detector is a core equipment used for the inspection required by HACCP. Since the existing metal detectors are manufactured as a single-body equipment, it is difficult to take into account various user requirements for the system. In order to overcome the drawback, this study presents a network-based automation system for metal detector utilizing an industrial fieldbus and modular components. The proposed system can effectively consider the various customer requirements and control schemes. The proposed system can also achieve the improvement in speed and success rate of detecting metallic objects. The effectiveness of the proposed system is demonstrated through a various experiments.

An Economic Design of the Integrated Process Control Procedure with Repeated Adjustments and EWMA Monitoring

  • Park Changsoon;Jeong Yoonjoon
    • Proceedings of the Korean Statistical Society Conference
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    • 2004.11a
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    • pp.179-184
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    • 2004
  • Statistical process control (SPC) and engineering process control (EPC) are based on different strategies for process quality improvement. SPC reduces process variability by detecting and eliminating special causes of process variation, while EPC reduces process variability by adjusting compensatory variables to keep the quality variable close to target. Recently there has been need for an integrated process control (IPC) procedure which combines the two strategies. This article considers a scheme that simultaneously applies SPC and EPC techniques to reduce the variation of a process. The process disturbance model under consideration is an IMA(1,1) model with a location shift. The EPC part of the scheme adjusts the process, while the SPC part of the scheme detects the occurrence of a special cause. For adjusting the process repeated adjustment is applied by compensating the predicted deviation from target. For detecting special causes the two kinds of exponentially weighted moving average (EWMA) control chart are applied to the observed deviations: One for detecting location shift and the other for detecting increment of variability. It was assumed that the adjustment of the process under the presence of a special cause may change any of the process parameters as well as the system gain. The effectiveness of the IPC scheme is evaluated in the context of the average cost per unit time (ACU) during the operation of the scheme. One major objective of this article is to investigate the effects of the process parameters to the ACU. Another major objective is to give a practical guide for the efficient selection of the parameters of the two EWMA control charts.

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AUTOMATED DETECTION OF MICROCALCIFICATIONS ON MAMMOGRAM WITH MORPHLOGICAL FILTER

  • Jin, Hua-Rong;Kobatake, Hidefumi
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10b
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    • pp.1752-1757
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    • 1991
  • This paper presents a new method for detecting microcalcifications on mammograms by using morphological filter. This filter is an extension of Top-hat transformation in morphological operations with multi-scale and multiple structuring elements. The proposed method makes it possible to detect geometrical structures considered to be microcalcifications on the basis of their size, shape and density. Experimental results to show the effectiveness of the proposed method are also presented.

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Influence Analysis on a Test Statistic in Canonical Correlation Analysis

  • Jung, Kang-Mo
    • Communications for Statistical Applications and Methods
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    • v.8 no.2
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    • pp.347-355
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    • 2001
  • We propose a method for detecting influential observations that have a large influence on the likelihood ratio test statistic for the two sets of variables are uncorrelated with one another. For this purpose we derive a local influence measure for the likelihood ratio test statistic under certain perturbation scheme. An illustrative example is given to show the effectiveness of the proposed method on the identification of influential observations.

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Development of driver for BLDC motor system and precise repetitive control (BLDC 모터의 구동장치 개발 및 정밀 반복제어)

  • 강병철;이충환;김상봉
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1257-1260
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    • 1996
  • This paper describes a fully digitalized driver for BLDC motors and the driver is realized by a single chip microprocessor. The speed change can be done by using the signal obtained from the position detecting sensor and adjusting the pulse width at the input channel of power module. In order to verify the effectiveness, an repetitive control method is adopted in the speed control tracking a periodic reference change in the BLDC motor system. The experimental results are shown for the reference tracking accurately according to the design parameter variation in the repetitive controller design.

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자기동조법에 의한 BLDC전동기의 정밀 위치제어

  • 정석권;전봉환;유휘룡;김효석;김상봉;이판묵
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.460-465
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    • 1994
  • A high precision position control techinque of Brushless DC(BLDC) motor system with time varying parameters is expressed using the self tuning control method. The time varying parameters is estimated on real time by detecting voltage references from controller and mechanical motor speeds from tacho-generator. The effectiveness of the method is evaluated through the positon control experimental results of a BLDC motor system for reference change and arbitrary disturbance.

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Influence Analysis of the Liklihood Ratio Test in Multivariate Behrens-Fisher Problem

  • Jung, Kang-Mo;Kim, Myung-Geun
    • Communications for Statistical Applications and Methods
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    • v.6 no.3
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    • pp.939-946
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    • 1999
  • We propose methods for detecting influential observations that have a large influence on the likelihood ratio test statistic for the multivariate Behrens-Fisher problem. For this purpose we derive the influence curve and the derivative influence of the likelihood ratio test statistic. An illustrative example is given to show the effectiveness of the proposed methods on the identification of influential observations.

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Nanoelectyomechanical Resonator Design and Performance Analysis

  • T. J. Kouh;Kim, D. H.;K. L. Ekinci
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.538-541
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    • 2004
  • We describe a method for the detection of nanometer scale displacements of nanoelectromechanical resonators. We also present an analysis of the mechanical motion of these devices. We evaluate the effectiveness of the detection technique by detecting displacements from a series of nanomechanical doubly clamped beam resonators with decreasing dimensions.

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Detection of delamination damage in composite beams and plates using wavelet analysis

  • Bombale, B.S.;Singha, M.K.;Kapuria, S.
    • Structural Engineering and Mechanics
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    • v.30 no.6
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    • pp.699-712
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    • 2008
  • The effectiveness of wavelet transform in detecting delamination damages in multilayered composite beams and plates is studied here. The damaged composite beams and plates are modeled in finite element software ABAQUS and the first few mode shapes are obtained. The mode shapes of the damaged structures are then wavelet transformed. It is observed that the distribution of wavelet coefficients can identify the damage location of beams and plates by showing higher values of wavelet coefficients at the position of damage. The effectiveness of the method is studied for different boundary conditions, damage location and size for single as well as multiple delaminations in composite beams and plates. It is observed that both discrete wavelet transform (DWT) and continuous wavelet transform (CWT) can detect the presence and location of the damaged region from the mode shapes of the structures. DWT may be used to approximately evaluate the size of the delamination area, whereas, CWT is efficient to detect smaller delamination areas in composites.

A Model-Based Fault Detection and Diagnosis Methodology for Cooling Tower

  • Ahn, Byung-Cheon
    • International Journal of Air-Conditioning and Refrigeration
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    • v.9 no.3
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    • pp.63-71
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    • 2001
  • This paper presents a model-based method for detecting and diagnosing some faults in the cooling tower of healing, ventilating, and air-conditioning systems. A simple model for the cooling tower is employed. Faults in cooling tower operation are detected through the deviations in the values of system characteristic parameters such as the heat transfer coefficient-area product, the tower approach, the tower effectiveness, and fan power. Three distinct faults are considered: cooling tower inlet water temperature sensor fault, cooling tower pump fault, and cooling tower fan fault. As a result, most values of the system characteristics parameter variations due to a fault are much higher or lower than the values without faults. This allows the faults in a cooling tower to be detected easily using above methods. The diagnostic rules for the faults were also developed through investigating the changes in the different parameter due to each faults.

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