• Title/Summary/Keyword: Monitoring algorithm

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Wafer Dicing State Monitoring by Signal Processing (신호처리를 이용한 웨이퍼 다이싱 상태 모니터링)

  • 고경용;차영엽;최범식
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.5
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    • pp.70-75
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    • 2000
  • After the patterning and probe process of wafer have been achieved, the dicing process is necessary to separate chips from a wafer. The dicing process cuts a wafer to lengthwise and crosswise direction to make many chips by using narrow circular rotating diamond blade. But inferior goods are made under the influence of complex dicing environment such as blade, wafer, cutting water and cutting conditions. This paper describes a monitoring algorithm using feature extraction in order to find out an instant of vibration signal change when bad dicing appears. The algorithm is composed of two steps: feature extraction and decision. In the feature extraction, two features processed from vibration signal which is acquired by accelerometer attached on blade head are proposed. In the decision. a threshold method is adopted to classify the dicing process into normal and abnormal dicing. Experiment have been performed for GaAs semiconductor wafer. Based upon observation of the experimental results, the proposed scheme shown a good accuracy of classification performance by which the inferior goods decreased from 35.2% to 12.8%.

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The Study of the Monitoring Algorithm for Electric Car Inspection and Repair (전동차 검수용 모니터링 알고리즘에 관한 연구)

  • Kim, Y.C.;Park, Y.M.;Won, C.Y.;Kim, K.D.;Han, Y.J.
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.521-523
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    • 1997
  • In this paper, We carried out investigation of monitoring algorithm development for electric car inspection and repair. For transmitting a data, reliable RS-422 is adopted. The LabWindows/CVI development tool of National Instruments Co. is used for the formation of monitoring screen. The experimental set-up is composed of a PC to PC system. It is applicable to electric car imspection and repair.

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Efficient Scheduling for Salesperson Monitoring System (영업사원 관제시스템의 효율적인 경로 스케줄링)

  • Kim, Seung;Min, Yeong-Bin;Lee, Woo-Key;Bae, Hye-Rim
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.4
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    • pp.382-389
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    • 2011
  • Salesperson Monitoring System (SMS) is geographic based information system that supports business auditing, sales area coordinating and customer management for each salesperson. Conventional SMSs focus mainly on the monitoring or logging functions, i.e., a salesperson locating or moving trail tracking. However, the schedules have been planned by human planner, and they have rarely been managed with a software system like SMS. In this paper, a mixed integer programming model for a salesperson routing schedule is provided. Then, 2-phase Genetic Algorithm (GA) is proposed to make salesperson routing schedule. Experimental results show a validity of the proposed method.

Laser Weld Quality Monitoring System

  • Park, H.;Park, Y.;S. Rhee
    • International Journal of Korean Welding Society
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    • v.1 no.1
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    • pp.7-12
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    • 2001
  • Real time monitoring has become critical as the use of laser welding increases. Plasma and spatter are measured and used as the signal for estimating weld quality. The estimating algorithm was made using the fuzzy pattern recognition with the area of data that is beyond the tolerance boundary. Also, an algorithm that detects the spatter and the localized defect was created in order to kd the partially produced pit and the sudden loss of weld penetration. These algorithms were used in quality monitoring of the $CO_2$ laser tailored blank weld. Statistical program that can display the laser weld quality result and the signal transition was made for the first stage of the remote control system.

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The Study of the Monitoring Algorithm for Examination of Inverter Sysyem (인버터 시스템 진단을 위한 모니터링 알고리즘 구현에 관한 연구)

  • Ahn, Y.S.;Kim, Y.C.;Ahn, J.J.;Won, C.Y.;Kang, K.H.
    • Proceedings of the KIEE Conference
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    • 1998.07f
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    • pp.2124-2126
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    • 1998
  • In this paper, we carried out investigation of monitoring algorithm development for examination of inverter system. For transmiting data, RS-422C is adopted. The LabWindows/CVI development tool of National Instruments Co. is used for the formation of monitoring screen. The experimental set-up is composed of a PC to PC system. It is applicable to electric car inspection and repair.

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Periodic seismic performance evaluation of highway bridges using structural health monitoring system

  • Yi, Jin-Hak;Kim, Dookie;Feng, Maria Q.
    • Structural Engineering and Mechanics
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    • v.31 no.5
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    • pp.527-544
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    • 2009
  • In this study, the periodic seismic performance evaluation scheme is proposed using a structural health monitoring system in terms of seismic fragility. An instrumented highway bridge is used to demonstrate the evaluation procedure involving (1) measuring ambient vibration of a bridge under general vehicle loadings, (2) identifying modal parameters from the measured acceleration data by applying output-only modal identification method, (3) updating a preliminary finite element model (obtained from structural design drawings) with the identified modal parameters using real-coded genetic algorithm, (4) analyzing nonlinear response time histories of the structure under earthquake excitations, and finally (5) developing fragility curves represented by a log-normal distribution function using maximum likelihood estimation. It is found that the seismic fragility of a highway bridge can be updated using extracted modal parameters and can also be monitored further by utilizing the instrumented structural health monitoring system.

Temperature-Rising Prediction and Monitoring for an Oil-immersed Power Transformer (유입변압기 중신부 온도상승 예측 및 모니터링)

  • Lee, J.Y.;Lee, C.R.;Kim, Y.H.;Park, S.W.;Yoon, J.H.;Nam, G.C.
    • Proceedings of the KIEE Conference
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    • 2004.05b
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    • pp.94-96
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    • 2004
  • In order to observe the thermal behavior of oil immersed power transformers the temperature rise prediction algorithm and monitoring system were developed. The algorithm is formulated into a computer program based on the TNM (Thermal Network Method) which was divided into several elements, and the temperature of each element was calculated according to each time lapse. A monitoring system can show the real time active part temperatures of the transformer under various electric loads and for any types of thermal environment.

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Automatic modal identification and variability in measured modal vectors of a cable-stayed bridge

  • Ni, Y.Q.;Fan, K.Q.;Zheng, G.;Ko, J.M.
    • Structural Engineering and Mechanics
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    • v.19 no.2
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    • pp.123-139
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    • 2005
  • An automatic modal identification program is developed for continuous extraction of modal parameters of three cable-supported bridges in Hong Kong which are instrumented with a long-term monitoring system. The program employs the Complex Modal Indication Function (CMIF) algorithm for identifying modal properties from continuous ambient vibration measurements in an on-line manner. By using the LabVIEW graphical programming language, the software realizes the algorithm in Virtual Instrument (VI) style. The applicability and implementation issues of the developed software are demonstrated by using one-year measurement data acquired from 67 channels of accelerometers permanently installed on the cable-stayed Ting Kau Bridge. With the continuously identified results, variability in modal vectors due to varying environmental conditions and measurement errors is observed. Such an observation is very helpful for selection of appropriate measured modal vectors for structural health monitoring use.

Development of Vision based Passenger Monitoring System for Passenger's Safety in Railway Station (철도 승강장 승객 안전을 위한 영상처리식 모니터링시스템 개발)

  • Oh, Seh-Chan;Park, Sung-Hyuk;Lee, Han-Min;Kim, Gil-Dong;Lee, Chang-Mu
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.1354-1359
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    • 2008
  • In this paper, we propose a vision based passenger monitoring system for passenger's safety in railway station. Since 2005, Korea Railroad Research Institute (KRRI) has developed a vision based monitoring system, funded by Korean government, for passenger's safety in railway station. The proposed system uses various types of sensors, such as, stereo camera, thermal-camera and infrared sensor, in order to detects danger situations in platform area. Especially, detection process of the system exploits the stereo vision algorithm to improve detection accuracy. The paper describes the overall system configuration and proposed detection algorithm, and then verifies the system performance with extensive experimental results in a real station environment.

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Implementation of Real-time Monitoring and Remote Control System Testbed based on Digital Twin (디지털 트윈을 활용한 실시간 모니터링 및 원격제어 시스템의 테스트베드 구현)

  • Yoon, Jung-Eun;Kim, Won-Suk
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.325-334
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    • 2022
  • Digital twin has the advantages of quality improvement and cost reduction, so it is widely applied to various industries. In this paper, a method to implement the major technologies of digital twin easily and quickly is presented. These include data management and relay servers, real-time monitoring applications including remote control interfaces, and direct connection protocols for video streaming. In addition, an algorithm for controlling a two-wheeled vehicle with a 2D interface is also proposed. The implemented system performs near real-time synchronization between the real environment and the virtual space. The delay time that occurs in remote control of the vehicle in the real environment was compared with the results of applying the proposed delay time reduction method. In addition, in the case of 2D interface-based control, an algorithm that can guarantee the user experience was implemented and applied to the actual environment and verified through experiments.