• Title/Summary/Keyword: Monitoring location

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Development of MATLAB GUI Based Software for Monitoring Ionospheric Disturbances

  • Kim, Bu-Gyeom;Kang, Seonho;Han, Deokhwa;Song, Junesol;So, Hyoungmin;Kim, Kap Jin;Kee, Changdon
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.2
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    • pp.69-77
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    • 2019
  • This study introduces MATLAB Graphical User Interface (GUI)-based software to monitor ionospheric disturbances. This software detects ionospheric disturbances using Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) measurements, and estimates a location of the disturbance source through the detected disturbance. In addition, this software includes a sky plot making function and frequency analysis function through wavelet transform. To evaluate the performance of the developed software, data of 2011 Tohoku earthquake in Japan were analyzed by using the software. The analysis results verified that the ionospheric disturbances were detected through GPS and GLONASS measurements, and the location of the disturbance source was estimated through the detected disturbance.

Nondestructive crack detection in metal structures using impedance responses and artificial neural networks

  • Ho, Duc-Duy;Luu, Tran-Huu-Tin;Pham, Minh-Nhan
    • Structural Monitoring and Maintenance
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    • v.9 no.3
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    • pp.221-235
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    • 2022
  • Among nondestructive damage detection methods, impedance-based methods have been recognized as an effective technique for damage identification in many kinds of structures. This paper proposes a method to detect cracks in metal structures by combining electro-mechanical impedance (EMI) responses and artificial neural networks (ANN). Firstly, the theories of EMI responses and impedance-based damage detection methods are described. Secondly, the reliability of numerical simulations for impedance responses is demonstrated by comparing to pre-published results for an aluminum beam. Thirdly, the proposed method is used to detect cracks in the beam. The RMSD (root mean square deviation) index is used to alarm the occurrence of the cracks, and the multi-layer perceptron (MLP) ANN is employed to identify the location and size of the cracks. The selection of the effective frequency range is also investigated. The analysis results reveal that the proposed method accurately detects the cracks' occurrence, location, and size in metal structures.

A Study on Microscopic Fractrue Behavior of Mortar Using Acoustic Emission (음향방출을 이용한 mortar 재료의 미시적 파괴거동에 관한 연구)

  • 이준현;이진경;장일영;윤동진
    • Magazine of the Korea Concrete Institute
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    • v.10 no.6
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    • pp.203-211
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    • 1998
  • It is well recognized recently that acoustic emission, which is an elastic wave generated from rapid release of elastic energy in steressed solids, is very useful tool for on-line monitoring of microscopic behavior of deformation of material. In this study, three point bend test was performed to evaluate the microscopic damage progress during the loading and failure mechanism of mortar beam by monitoring the characteristic of AE signal. The relationship between AE characteristic and microscopic failure mechanism is discussed. In addition 2 dimensional AE source location based on triangular method was also done to monitor the intiation and propagation of micro crack around notch tip of mortar beam. It was shown that AE source location was very effective to predict the growth behavior of micro crack in mortar beam specimen.

Application of Acoustic Emission Technique for Detection of Crack in Notched Concrete Beams (노치가 있는 콘크리트 보에서 균열검출을 위한 음향방출기법의 적용)

  • Jin, Chi-Sub;Lee, Nae-Chul;Shin, Dong-lk;Kwon, Sung-Jin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.4
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    • pp.215-220
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    • 1999
  • Concrete micro-cracks that are grown while the structures are under construction or in service, propagate gradually or rapidly by external forces and environmental effects. As described above, almost concrete structures generally have cracks, so for the safety and durability of structures, studies to detect cracks using nondestructive tests have been treated in great deal. The purpose of this study is to evaluate characteristics of AE signals detected from notched concrete beams bending test with different loading using one of nondestructive test, Acoustic Emission (AE) method. Furthermore this study predicts the location of initial crack and measures direction of crack propagation for on-line monitoring before the crack really grows in structures by using two-dimensional AE source location based on rectangular method with three-point bending test. This will allow efficient maintenance of concrete structures through monitoring of internal cracking based on acoustic emission method.

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Spatial Reservoir Temperature Monitoring using Thermal Line Sensor (다중온도센서를 통한 입체적인 호소 온도모니터링 평가)

  • Hwang, Ki-Sup;Park, Dong-Soon;Jung, Woo-Sung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1002-1006
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    • 2006
  • Temperature monitoring techniques per depth have been recognized as important information in the reservoir environmental issues. However, old measurement method by single temperature sensor and cable type has demerits not only for its limited measuring location but for its inconvenience of users. In this study, multi-channel temperature monitoring system was introduced and executed experiment for actual application feasibility evaluation. Both type of new techniques such as multi-channel addressable built-in temperature sensor and fiber optic multi sensor were tested in Daechung and Imha reservoir. As a result, it was proved that these kinds of temperature monitoring skills had very good performance and availability for a output of spatial, simultaneous thermal distribution focused on the user's convenience. And these measuring method and thermal data will be useful for providing basic information in a water resources investigation like reservoir stratification and environmental problems.

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Study of Prevention System against Second-Convictions of Sexual Violence Offenders by Using Smart Electronic Monitoring Anklet

  • Oh, Sei-Youen;Lee, Aeri
    • Journal of Advanced Information Technology and Convergence
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    • v.8 no.2
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    • pp.69-77
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    • 2018
  • The study, recognizing the seriousness of such second-convictions of sexual violence offenders and supplementing the problems noticed from an integral electronic monitoring anklet, which only offers simple location information, would like to propose a Prevention System against Second-Convictions of Sexual Violence Offenders by using Smart Electronic Monitoring Anklet. Proposed System is anticipated to be able to prevent second-convictions of sexual violence offenders as the data of offenders from Smart Electronic Monitoring Anklet with various sensors and the data from Integrated DB of Judicial Authorities is comparatively analyzed, allowing anticipative actions at each stage based on the analyzed data regarding sexual violence.

Hybrid Damage Monitoring Technique for Plate Girder Bridges using Acceleration-Impedance Signatures (판형교의 가속도-임피던스 신호를 이용한 하이브리드 손상 모니터링 기법)

  • Hong, Dong-Soo;Cho, Hyun-Man;Na, Won-Bae;Kim, Jeong-Tae;Park, Gyu-Hae
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.197-202
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    • 2008
  • In this paper, a hybrid vibration-impedance approaches is newly proposed to detect the occurrence of damage, the location of damage, and extent of damage in steel plate-girder bridges. The hybrid scheme mainly consists of three sequential phases: 1) to alarm the occurrence of damage, 2) to classify the alarmed damage, and 3) to estimate the classified damage in detail. Damage types of interest include flexural stiffness-loss in girder and bolts-loose in supports. In the first phase, the global occurrence of damage is alarmed by monitoring changes in acceleration features. In the second phase, the alarmed damage is classified into subsystems by recognizing patterns of impedance features. In the final phase, the location and the extent of damage are estimated by using modal strain energy-based damage index method and root mean square deviation method. The feasibility of the proposed system is evaluated on a laboratory-scaled steel plate-girder bridge model for which hybrid vibration-impedance signatures were measured for several damage scenarios.

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Vibration-Based Damage Monitoring in Model Plate-Girder Bridges under Uncertain Temperature Conditions (불확실한 온도 조건하의 모형 강 판형교의 진동기반 손상 모니터링)

  • Park, Jae-Hyung;Hong, Dong-Soo;Cho, Hyun-Man;Kim, Jeong-Tae
    • Journal of Ocean Engineering and Technology
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    • v.22 no.1
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    • pp.75-82
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    • 2008
  • A vibration-based damage-monitoring scheme is proposed that would generate an alarm showing the occurrence and location of damage under temperature-induced uncertainty conditions. Experiments on a model plate-girder bridge are described, for which a set of modal parameters was measured under uncertain temperature conditions. A damage-alarming model is formulated to statistically identify the occurrence of damage by recognizing the patterns of damage-driven changes in the natural frequencies of the test structure and by distinguishing temperature-induced off-limits. A damage index method based on the concept of modal strain energy is implemented in the test structure to predict the location of damage. In order to adjust for the temperature-induced changes in the natural frequencies that are used for damage detection, a set of empirical frequency correction formulas is analyzed from the relationship between the temperature and frequency ratio.

Productivity Analysis on Real-time Path Monitoring of Dumps (덤프의 이동경로 모니터링을 통한 생산성 분석)

  • Lee, Hak June;Kwon, Young Min;Yoon, Cha Woong;Seo, Jong Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.3
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    • pp.565-571
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    • 2016
  • This study check the construction site and borrow pit location using GIS-based Open Global Map. Construction Equipment (Dump, Grader) utilizes the GPS (Global Positioning System) to gain equipment's real-time position, speed, altitude, using the data such as directions to perform real-time monitoring. The analysis of the productivity is completed through using the data, and the optimal number of equipment is calculated. It was found that the analysis results showed approximately 30% less cost compared to the actual design plan.

Cat Monitoring and Disease Diagnosis System based on Deep Learning (딥러닝 기반의 반려묘 모니터링 및 질병 진단 시스템)

  • Choi, Yoona;Chae, Heechan;Lee, Jonguk;Park, Daihee;Chung, Yongwha
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.233-244
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    • 2021
  • Recently, several ICT-based cat studies have produced some successful results, according to academic and industry sources. However, research on the level of simply identifying the cat's condition, such as the behavior and sound classification of cats based on images and sound signals, has yet to be found. In this paper, based on the veterinary scientific knowledge of cats, a practical and academic cat monitoring and disease diagnosis system is proposed to monitor the health status of the cat 24 hours a day by automatically categorizing and analyzing the behavior of the cat with location information using LSTM with a beacon sensor and a raspberry pie that can be built at low cost. Validity of the proposed system is verified through experimentation with cats in actual custody (the accuracy of the cat behavior classification and location identification was 96.3% and 92.7% on average, respectively). Furthermore, a rule-based disease analysis system based on the veterinary knowledge was designed and implemented so that owners can check whether or not the cats have diseases at home (or can be used as an auxiliary tool for diagnosis by a pet veterinarian).