• Title/Summary/Keyword: performance monitoring

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Monitoring and performance assessment of a highway bridge via operational modal analysis

  • Reza Akbari;Saeed Maadani;Shahrokh Maalek
    • Structural Monitoring and Maintenance
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    • v.10 no.3
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    • pp.191-205
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    • 2023
  • In this paper, through operational modal analysis and ambient vibration tests, the dynamic characteristics of a multi-span simply-supported reinforced concrete highway bridge deck was determined and the results were used to assess the quality of construction of the individual spans. Supporting finite element (FE) models were created and analyzed according to the design drawings. After carrying out the dynamic tests and extracting the modal properties of the deck, the quality of construction was relatively assessed by comparing the results obtained from all the tests from the individual spans and the FE results. A comparison of the test results among the different spans showed a maximum difference value of around 9.3 percent between the superstructure's natural frequencies. These minor differences besides the obtained values of modal damping ratios, in which the differences were not more than 5 percent, can be resulted from suitable performance, health, and acceptable construction quality of the bridge.

An Efficient Monitoring Method for Ubiquitous System Platform Based on Autonomic Community Computing (자율적 커뮤니티 컴퓨팅 기반 유비쿼터스 시스템 플렛폼을 위한 효과적인 모니터링 방법)

  • Kwon, Sung-Hyun;Lee, Dong-Wook;Kim, Jai-Hoon;Cho, We-Duke
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.1
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    • pp.86-90
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    • 2008
  • Ubiquitous Smart pace connects many kinds of smart object to satisfy user's demands. Thus, not only excessive loads but also resource collisions occur among service objects while configurating services to fulfill the user's request. After all, as malfunction occurs between service objects, it offers wrong service to user or does not respond to service request. To solve these problems, Ubiquitous Smart Space is observed by monitoring system of function, performance, and status of objects. Therefore, optimized function, performance and duality of service of smart space service for user should be improved by recording log and analyzing recorded the log. In this paper, we suggest a novel monitoring system to optimize performance according to pattern of diverse services and execute self-recovery on system down and malfunction.

Identifying Dynamic Characteristics of Structures to Estimate the Performance of a Smart Wireless MA System (SWMAS의 성능 검증을 위한 구조물의 동특성 분석)

  • Heo, Gwang-Hee;Lee, Woo-Sang;Shin, Jae-Chul
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.9 no.4
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    • pp.227-234
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    • 2005
  • In this paper, a smart wireless MEMS-based accelerometer(MA) system has been designed and experimented for smart monitoring system of civil structures. Various performance and experimental tests have been carried out to evaluate whether this system is suitable for monitoring system of civil structures. First, we examined its sensitivity, resolution, and noise, specifically to evaluate the performance of the smart wireless MA system. The results of experiments enabled us to estimate performance of the MA in SWMAS in comparison to the value of data sheet from MA. Second, characteristics of model structure were analyzed by the ambient vibration test based on the NExT combined with ERA. Finally, this analysis was compared to the one that was made by FE results, and the comparison proved that a smart wireless MA system was fitted in smart monitoring system effectively.

Continuous Integration for Efficient IoT-Cloud Service Realization by Employing Application Performance Monitoring (효율적인 IoT-Cloud 서비스 실증을 위한 응용 성능 모니터링을 활용한 지속적인 통합)

  • Bae, Jeongju;Kim, Chorwon;Kim, JongWon
    • KIISE Transactions on Computing Practices
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    • v.23 no.2
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    • pp.85-96
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    • 2017
  • IoT-Cloud service, integration of Internet of Things (IoT) and Cloud, is becoming a critical model for realizing creative and futuristic application services. Since IoT machines have little computing capacity, it is effective to attaching public Cloud resources for realizing IoT-Cloud service. Furthermore, utilizing containers and adopting a microservice architecture for developing IoT-Cloud service are useful for effective realization. The quality of microservice based IoT-Cloud service is affected by service function chaining which inter-connects each functions. For example, an issue with some of the functions or a bottleneck of inter-connection can degrade the service quality. To ensure functionality of the entire service, various test procedures considering various service environments are required to improve the service continuously. Hence in this paper, we introduce experimental realization of continuous integration based on DevOps and employ application performance monitoring for Node.js based IoT-Cloud service. Then we discuss its effectiveness.

Publishing a Web Based Crop Monitoring System and Performance Test (웹 기반 농업생산환경 모니터링 시스템 시범구축 및 성능평가)

  • Lee, Jung-Bin;Kim, Jeong-Hyun;Park, Yong-Nam;Hong, Suk-Young;Heo, Joon
    • Korean Journal of Remote Sensing
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    • v.31 no.5
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    • pp.491-499
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    • 2015
  • In developed countries such as USA and Europe, agricultural monitoring system is developed and utilized in various fields in order to predict crop yield, observe weather conditions and anomaly, categorize crop fields, and calculate areas for each crop. These system is Web Map Service(WMS) which utilizes open source and commercial softwares, and various information collected from remote sensing data are provided. This study will utilize tools such as GeoServer, ArcGIS Server, which are widely used to monitor agricultural production, to publish Map Server and Web Application Server. This enables performance test study for future agricultural production monitoring system by making use of response time and data transfer test. When tested in identical condition GeoServer showed a better result in response time and data transfer for performance test.

Power Generation Efficiency Model for Performance Monitoring of Combined Heat and Power Plant (열병합발전의 성능 모니터링을 위한 발전효율 모델)

  • Ko, Sung Guen;Ko, Hong Cheol;Yi, Jun Seok
    • Plant Journal
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    • v.16 no.4
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    • pp.26-32
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    • 2020
  • The performance monitoring system in the power plant should have the capability to estimate power generation efficiency accurately. Several power generation efficiency models have been proposed for the combined heat and power (CHP) plant which produces both electricity and process steam(or heating energy, hereinafter expressed by process steam only). However, most of the models are not sufficiently accurate due to the wrong evaluation of the process steam value. The study suggests Electricity Conversion Efficiency (ECE) model with determination of the heat rate of process steam using operational data. The suggested method is applied to the design data and the resulted trajectory curve of power generation efficiency meets the data closely with R2 99.91%. This result confirms that ECE model with determination of the model coefficient using the operational data estimate the efficiency so accurately that can be used for performance monitoring of CHP plant.

The Effects of Team Learning Behavior, Individual Creativity, Team Shared Mental Model, Mutual Performance Monitoring on Team Creativity in the College Classroom (팀 학습행동, 개인 창의성, 팀 공유정신모형, 상호 수행 모니터링이 대학 수업에서 팀 창의성에 미치는 영향)

  • Jun, Myongnam
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.5 no.6
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    • pp.317-325
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    • 2015
  • The aim of this research was to investigate the relationship among team learning behavior, individual creativity, team shared mental model(TSMM), mutual performance monitoring on team creativity and then providing the fundamental data on the education. Also it intended to acknowledge relative predictive power on team creativity of independent variables. The total of 257 college students participated the team learning for 6 weeks in a semester. Pearson's product moment correlation and regression analysis were used for data analysis and testing of significance of verification, The main research results are summarized as follows; team learning behavior, TSMM, mutual performance monitoring had no significant effects on three subfactors of team creativity such as novelty, resolution, elaboration & synthesis. Therefore followed researches are needed about inter and intra processing of team creativity.

Vision System for Monitoring a Platform Safety (승강장 안전을 위한 영상시스템 적용방안 연구)

  • Won, Jong-Un;Joung, Eou-Jin;Lee, Han-Min;Kim, Gil-Dong;Hong, Jai-Sung;Lee, Jang-Mu
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.731-736
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    • 2011
  • On this paper, we propose how to apply the vision system for monitoring a platform safety. The vision system is tested in real platform in a deagu subway station. According to the result of field test, we propose how to use vision system for monitoring a platform safety. The result showed that it had a high performance to detecting ratio.

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A Development of Central Monitoring and Control System using Duplex Redundancy Modular (이중화 방식을 이용한 중앙 감시 및 제어 시스템 개발에 관한 연구)

  • Won, Tae-Hyun;Kim, Mun-Soo;Lee, Yong-Kil;Kim, Young-Kwon
    • Proceedings of the KIEE Conference
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    • 1999.11c
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    • pp.680-682
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    • 1999
  • This paper presents a design of central monitoring and control system using duplex redundancy modular. Communication protocol used fieldbus and application program for monitoring and control have been developed by CIMON. The performance and convenience of developed system is demonstrated cremation furnace.

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Characteristics Monitoring Technique of HILS System Loop (HILS 시스템 루프 특성 모니터링 기법)

  • Hong, Jeong-Woon;Kim, Young-Joo;Kwak, Byung-Cheol
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.566-568
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    • 1999
  • HILS is widely used in the test and evaluation of complex control system. This paper describes the structure of HILS and the control loop performance monitoring of HILS system Distal path delay and FMS(Flight Motion Simulator) dynamics were estimated and output of the estimated model were compared with real FMS output. The monitoring system can be used for analyzing the result of HILS.

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