• Title/Summary/Keyword: On line monitoring

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Monitoring changes in the genetic structure of Brown Tsaiya duck selected for feeding efficiency by microsatellite markers

  • Yi-Ying Chang;Hsiu-Chou Liu;Chih-Feng Chen
    • Animal Bioscience
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    • v.36 no.3
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    • pp.417-428
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    • 2023
  • Objective: Few studies have genetically monitored chickens over time, and no research has been conducted on ducks. To ensure the sustainable management of key duck breeds, we used microsatellite markers to monitor Brown Tsaiya ducks over time genetically. Methods: The second, fourth, sixth to eighth generations of the Brown Tsaiya duck selected for feeding efficiency and control lines were included in this study to investigate the genetic variations, effective population size, population structure and the differentiation between populations over time with 11 microsatellite markers derived from Brown Tsaiya duck. Results: The results showed there were a slight decrease in the genetic variations and an increase in within-population inbreeding coefficient (FIS) in both lines, but no consistent increase in FIS was observed in each line. The effective population size in the second and eighth generations was 27.2 for the selected line and 23.9 for the control line. The change in allele richness showed a downward trend over time, and the selected line was slightly lower than the control line in each generation. The number of private alleles (Np) in the selected line were higher than in the control line. Moderate differentiation was observed between the second and eighth generations in the selected line (FST = 0.0510) and the control line (FST = 0.0606). Overall, differentiation tended to increase with each generation, but genetic variation and structure did not change considerably after six generations in the two lines. Conclusion: This study provides a reference for poultry conservation and helps to implement cross-generation genetic monitoring and breeding plans in other duck breeds or lines to promote sustainable management.

On-Line Insulation Diagnosis Techniques for Stator Winding of Rotating Machines (회전기 고정자 권선에서의 운전 중 절연열화 진단기법)

  • 윤대희;황돈하;신병철;김용주;이광식
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2000.11a
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    • pp.89-93
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    • 2000
  • Recently many research activities on the diagnosis of stator winding insulation of large rotating machines have been reported. Capacitive couplers are widely used as sensors for on-line partial discharge (PD) measurement of high voltage rotating machines. This paper presents laboratory test to compare Stator Slot Coupler (SSC), Resistance Temperature Detector (RTD), 80 [pF] coupler and 500 [pF] coupler for on-line PD measurement of rotating machines. And a novel on-line monitoring system for an insulation diagnosis is proposed.

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On-line Cure Monitoring of Adhesive Joints by Dielectrometry (유전기법을 이용한 접착 조인트의 실시간 경화 모니터링)

  • 권재욱;진우석;이대길
    • Composites Research
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    • v.16 no.4
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    • pp.51-58
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    • 2003
  • Since the reliability of adhesively bonded joints is much dependent on the curing status of thermosetting adhesive, the on-line cure monitoring during the cure of adhesively joints could improve the quality of adhesively bonded joints. In this work, the dielectric method which measures the dissipation factor of the adhesive during the cure of joints and converts it into the degree of cure of the adhesive was devised. The relation between the dissipation factor and the degree of cure of adhesive was investigated, which could eliminate the temperature effect on the dissipation factor that is a strong function of the degree of cure and temperature of adhesive. From the investigation, it was found that the dissipation factor showed a trend similar to the cure rate of the adhesive.

Image Monitoring and Analysis System for Glass Formation Process

  • Cho Sang Hee;Ryu Young Kee;Oh Choon Suk;Yoo Hyeon Joong
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.850-852
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    • 2004
  • The usable output of glassware formation production line depends, among other factors, on the weight and shape of a lump of hot molten glass called a gob. In this paper, an automated image processing system for monitoring gob weight and shape on a production line is proposed. Present techniques often rely on manual weighing of gobs on a sample basis by manually controlling the gob feeder. The proposed automated image monitoring system checks the weight and shape of every free-falling gob before it reaches the mould. In this system, the estimated weight of the gob is sufficiently close to its actual weight.

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Monitoring of Machining State in Turning by Means of Information and Feed Motor Current (NC 정보와 이송축 모터 전류를 이용한 선삭 가공 상태 감시)

  • 안중환;김화영
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.1
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    • pp.156-161
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    • 1992
  • In this research a monitoring system for turning using NC information and the current of feed motor as a monitoring signal was developed. The overall system consists of modules such as learning process, NC data transmission, generation of forecast information, signal acquisition, monitoring and post process. In the learning process, the reference data and the cutting force equation necessary for monitoring are obtained from the accumulated monitoring results. In the generation of forecast information, the information of forecasted cutting forces is acquired from the cutting force equation and NC program and appended to each NC block as a monitor code. Reliability of monitoring is improved by using the monitor code in the real-time monitoring. Monitoring module is divided into two parts : the off-line monitoring where errors of NC program are checked and the on-line monitoring where the level of motor current is monitored during cutting operations. If the actual current level exceeds the limit value provided by the monitor code in the level monitoring, it is recognized as abnormal. In the event of abnormal status, the post processor sends the emergency stop signal to NC controller to stop the operation. Actual experiments have shown that the developed monitoring system works well.

Dynamic Bandwidth Allocation Algorithm of XG-PON using Traffic Monitoring (Traffic Monitoring 방식의 XG-PON 동적대역할당 방법)

  • Hong, Sung Hark;Han, Man Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.705-706
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    • 2014
  • This paper proposes a new dynamic bandwidth allocation algorithm for an XG-PON (10-Gbps-capable passive optical network) system. In the XG-PON system, an ONU (optical network unit) does not explicitly send it request to an OLT (optical line termination). The OLT monitors the upstream bandwidth usage of the ONU to estimate the request of the ONU. Then the OLT performs a dynamic bandwidth allocation process based on the estimated requests.

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Preliminary Results of Marine Traffic Monitoring Field Campaigns for the Jurisdictional Sea Area of South Korea: Monitoring on the Ieodo Ocean Research Station (관할해역 해상교통 모니터링을 위한 기초 연구: 이어도해양과학기지 실험 중심으로)

  • Yang, Chan-Su
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.06a
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    • pp.68-69
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    • 2014
  • At the present, ship traffic monitoring and management are focused on the harbor area and the specified coastal zone in South Korea. It, however, is required that the Jurisdictional Sea Area of South Korea is monitored from two viewpoints: Safety and Security. Through a safe sea line (transport route) over the world, it is possible to expand our ocean economical territory. As a first step, we have been in field campaigns for integrated ship monitoring on the Ieodo Ocean Research Station in November 2013 after the first test in Gyunggi Bay.

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Radial Basis Hybrid Neural Network Modeling for On-line Detection of Machine Condition Change (기계상태의 변화를 온라인으로 탐지하기 위한 Radial Basis 하이브리드 뉴럴네트워크 모델링)

  • Wang, Gi-Nam;Kim, Gwang-Sub;Jeong, Yoon-Seong
    • Journal of Korean Institute of Industrial Engineers
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    • v.20 no.4
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    • pp.113-134
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    • 1994
  • A radial basis hybrid neural network (RHNN) is presented for an on-line detection of machine condition change. Two-phase modeling by RHNN is designed for describing a machine condition process and for predicting future signal. A moving block procedure is also designed for detecting a process change. A fast on-line learning algorithm, the recursive least square estimation, is introduced. Experimental results showed the RHNN could be utilized efficiently for on-line machine condition monitoring.

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On-line learning prediction of machine condition (온라인 학습에 의한 기계상태의 예측)

  • 왕지남;정윤성;김광섭
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1994.04a
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    • pp.149-158
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    • 1994
  • A radial basis hybrid neural network (RHNN) is presented for on-line prediction of machine condition. A modular-based neural architecture is designed for modeling a machine condition process and for predicting future signal. A fast on-line learning algorithm is introduced. Experimental results showed the RHNN could be utilized efficiently for on-line machine condition monitoring.

Understanding the Mechanism of Indomethacin-Saccharin Co-crystal Formation Using In-line Monitoring System based on PVM and FBRM (PVM 및 FBRM 기반 인라인 모니터링을 통한 indomethacin-saccharin 공결정의 생성 메커니즘이해)

  • Kim, Paul;Cho, Min-Yong;Choi, Guang J.
    • Korean Chemical Engineering Research
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    • v.55 no.2
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    • pp.180-189
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    • 2017
  • Pharmaceutical co-crystals primarily to improve the solubility as well as stability of insoluble drug are to be investigated more intensively for IMDs as US FDA has reclassified co-crystal as a special case of solvates in August this year. In this study, we proposed a mechanism of indomethacin-saccharin co-crystal formation and the creation of transient indomethacin meta-stable form using in-line monitoring tools with the addition rate of anti-solvent as a critical process parameter. Among various instruments, we combined PVM (particle vision measurement) and FBRM (focused beam reflectance measurement) for the in-line monitoring of anti-solvent co-crystallization process. The off-line characterization of resulting powders was carried out employing the PXRD (powder x-ray diffraction) and DSC (differential scanning calorimeter). It was observed that the pathway to the final IMC-SAC co-crystal was significantly dependent upon the anti-solvent addition rate. The process conditions to obtain high quality co-crystal powder effectively were established. Consequently, we concluded that in-line monitoring combing the PVM and FBRM should be useful for the in-line monitoring of pharmaceutical co-crystallization processes.