• 제목/요약/키워드: real-time process

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레거시 시스템 데이터의 실시간 모니터링 시스템 개발 -제조업 생산 현장을 중심으로- (Real-time monitoring system of the legacy systems data -Focused on Manufacturing Shop Floor-)

  • 이재호;남호기;유우식
    • 대한안전경영과학회지
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    • 제18권1호
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    • pp.219-226
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    • 2016
  • As the development environment is changing with the development of information communication technology, the systems that were used by each service became used with integration. In the process of integrating from existing legacy systems to new system, it should be smoothly integrated or shared, however, it cannot help holding existing technology or component due to significant cost burden for conversion. In this paper, it was not only classified by types with analyzing the various elements that make up legacy system but an approach and monitoring system were developed to each type. After System application results, data's information generated in each process is provided to other system in real time, so that it has not only secured the work efficiency and reliability but also it is made possible by integrating data in various formats for efficient data management, rapid search and tracking to history. With real-time monitoring system developed in this study, It can be very useful in a variety of industries which require real-time monitoring of distributed legacy system data.

JMF 기반의 실시간 원격 공정 감시 및 제어 시스템 설계 및 구현 (Design md Implementation for the Remote Real Time Process Monitoring and Control System based on the JMF)

  • 김삼룡;임인택;이정배
    • 정보처리학회논문지D
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    • 제11D권2호
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    • pp.453-460
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    • 2004
  • 본 논문에서는 I/O 인터페이스 제어 보드와 ISA 인터페이스 제어 보든 그리고 레고 기반의 프로토타이핑(Prototyping)을 통해 실시간 신발 공정 컨베이어 제어를 위한 원격 감시 및 제어 시스템을 구현하였다. 컨베이어 서버에서 실시간으로 공정을 제어하기 위하여 작업의 우선권을 사용자가 정할 수 있는 RTLinux(Real-Time Linux)를 사용하였으며, RTLinux 기반으로 디바이스 드라이버를 작성하였다. 이를 통해 Client/Server 분산 환경 시스템의 구현 및 테스트를 하며, JMF(Java Media Framework) 기반의 모니터링 시스템을 구현하여 전체 공정 상황을 확인하였다.

Real-Time Visible-Infrared Image Fusion using Multi-Guided Filter

  • Jeong, Woojin;Han, Bok Gyu;Yang, Hyeon Seok;Moon, Young Shik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.3092-3107
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    • 2019
  • Visible-infrared image fusion is a process of synthesizing an infrared image and a visible image into a fused image. This process synthesizes the complementary advantages of both images. The infrared image is able to capture a target object in dark or foggy environments. However, the utility of the infrared image is hindered by the blurry appearance of objects. On the other hand, the visible image clearly shows an object under normal lighting conditions, but it is not ideal in dark or foggy environments. In this paper, we propose a multi-guided filter and a real-time image fusion method. The proposed multi-guided filter is a modification of the guided filter for multiple guidance images. Using this filter, we propose a real-time image fusion method. The speed of the proposed fusion method is much faster than that of conventional image fusion methods. In an experiment, we compare the proposed method and the conventional methods in terms of quantity, quality, fusing speed, and flickering artifacts. The proposed method synthesizes 57.93 frames per second for an image size of $320{\times}270$. Based on our experiments, we confirmed that the proposed method is able to perform real-time processing. In addition, the proposed method synthesizes flicker-free video.

LabVIEW 를 활용한 실시간 렌즈 사출성형 공정상태 진단 시스템 개발 (Development of Real-Time Condition Diagnosis System Using LabVIEW for Lens Injection Molding Process)

  • 나초록;남정수;송준엽;하태호;김홍석;이상원
    • 한국정밀공학회지
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    • 제33권1호
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    • pp.23-29
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    • 2016
  • In this paper, a real-time condition diagnosis system for the lens injection molding process is developed through the use of LabVIEW. The built-in-sensor (BIS) mold, which has pressure and temperature sensors in their cavities, is used to capture real-time signals. The measured pressure and temperature signals are processed to obtain features such as maximum cavity pressure, holding pressure and maximum temperature by the feature extraction algorithm. Using those features, an injection molding condition diagnosis model is established based on a response surface methodology (RSM). In the real-time system using LabVIEW, the front panels of the data loading and setting, feature extraction and condition diagnosis are realized. The developed system is applied in a real industrial site, and a series of injection molding experiments are conducted. Experimental results show that the average real-time condition diagnosis rate is 96%, and applicability and validity of the developed real-time system are verified.

진화 연산을 이용한 실시간 자기동조 학습제어 (The Real-time Self-tuning Learning Control based on Evolutionary Computation)

  • 장성욱;이진걸
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.105-109
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    • 2001
  • This paper discuss the real-time self-tuning learning control based on evolutionary computation, which proves its the superiority in the finding of the optimal solution at the off-line learning method. The individuals are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

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실시간 적응 학습 제어를 위한 진화연산(I) (Evolutionary Computation for the Real-Time Adaptive Learning Control(I))

  • 장성욱;이진걸
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.724-729
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    • 2001
  • This paper discusses the composition of the theory of reinforcement learning, which is applied in real-time learning, and evolutionary strategy, which proves its the superiority in the finding of the optimal solution at the off-line learning method. The individuals are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes. In the future, studies are needed on the proof of the theory through experiments and the characteristic considerations of the robustness against the outside disturbances.

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실시간 적응 학습 진화 알고리듬을 이용한 자기 동조 PID 제어 (The Self-tuning PID Control Based on Real-time Adaptive Learning Evolutionary Algorithm)

  • 장성욱;이진걸
    • 대한기계학회논문집A
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    • 제27권9호
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    • pp.1463-1468
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    • 2003
  • This paper presented the real-time self-tuning learning control based on evolutionary computation, which proves its superiority in finding of the optimal solution at the off-line learning method. The individuals of the populations are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations is proposed. It is possible to control the control object slightly varied as time changes. As the state value of the control object is generated, evolutionary strategy is applied each sampling time because the learning process of an estimation, selection, mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

실시간 심전도 자동진단을 위한 파이프라인 프로세서의 설계 (Design of a Pipeline Processor for the Automated ECG Diagnosis in Real Time)

  • 이경중;윤형로;이명호
    • 대한전자공학회논문지
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    • 제26권8호
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    • pp.1217-1226
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    • 1989
  • This paper describes a design of hardware system for real time automatic diagnosis of ECG arrhythmia based on pipeline processor consisting of three microcomputer. ECG data is acquisited by 12 bit A/D converter with hardware QRS triggered detector. Four diagnostic parameters-heart rate, morpholigy, axis, and ST segment-are used for the classification and the diagnosis of arrhythmia. The functions of the main CPU were distributed and processed with three microcomputers. Therefore the effective data process and the real time process using microcomputer can be obtained. The interconnection structure consisting of two common memory unit is designed to decrease the delay time caused by data transfer between processors and be which the delay time can be taken 1% of one clock period.

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실시간 프로세스의 스케줄 가능성 분석을 위한 스케줄링 상태 분석기에 관한 연구 (A Study on Scheduling State Analyzer for Schedulability Analysis of Real-Time Processes)

  • 박흥복
    • 한국정보통신학회논문지
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    • 제5권1호
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    • pp.80-88
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    • 2001
  • 실시간 스케줄가능성 분석에 대한 기존의 방법들은 프로세스의 모든 상태 공간을 추적하거나 고정 우선 순위 스케줄 방법을 사용하기 때문에 시간 및 공간에 대한 복잡성을 야기한다. 본 논문에서는 프로세스 대수의 전이 규칙을 이용하여 프로세스의 최소 수행 시간, 주기, 마감 시간, 동기화 시간을 고려하여 실시간 프로세스가 마감 시간을 지키는가를 판단하고, GUI 환경을 기반으로 스케줄이 불가능한 프로세스에 대해 스케줄 가능하게 하는 회복 알고리즘을 제안한다. 또한 스케줄이 불가능한 실시간 프로세스에 대해 회복 알고리즘을 적용한 결과를 시각적으로 표시해 주는 스케줄링 상태 분석기를 구현, 평가한다.

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Real-time In-situ Plasma Etch Process Monitoring for Sensor Based-Advanced Process Control

  • Ahn, Jong-Hwan;Gu, Ja-Myong;Han, Seung-Soo;Hong, Sang-Jeen
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제11권1호
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    • pp.1-5
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    • 2011
  • To enter next process control, numerous approaches, including run-to-run (R2R) process control and fault detection and classification (FDC) have been suggested in semiconductor manufacturing industry as a facilitation of advanced process control. This paper introduces a novel type of optical plasma process monitoring system, called plasma eyes chromatic system (PECSTM) and presents its potential for the purpose of fault detection. Qualitatively comparison of optically acquired signal levels vs. process parameter modifications are successfully demonstrated, and we expect that PECSTM signal can be a useful indication of onset of process change in real-time for advanced process control (APC).