• Title/Summary/Keyword: Monitoring Period

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A SVR Based-Pseudo Modified Einstein Procedure Incorporating H-ADCP Model for Real-Time Total Sediment Discharge Monitoring (실시간 총유사량 모니터링을 위한 H-ADCP 연계 수정 아인슈타인 방법의 의사 SVR 모형)

  • Noh, Hyoseob;Son, Geunsoo;Kim, Dongsu;Park, Yong Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.3
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    • pp.321-335
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    • 2023
  • Monitoring sediment loads in natural rivers is the key process in river engineering, but it is costly and dangerous. In practice, suspended loads are directly measured, and total loads, which is a summation of suspended loads and bed loads, are estimated. This study proposes a real-time sediment discharge monitoring system using the horizontal acoustic Doppler current profiler (H-ADCP) and support vector regression (SVR). The proposed system is comprised of the SVR model for suspended sediment concentration (SVR-SSC) and for total loads (SVR-QTL), respectively. SVR-SSC estimates SSC and SVR-QTL mimics the modified Einstein procedure. The grid search with K-fold cross validation (Grid-CV) and the recursive feature elimination (RFE) were employed to determine SVR's hyperparameters and input variables. The two SVR models showed reasonable cross-validation scores (R2) with 0.885 (SVR-SSC) and 0.860 (SVR-QTL). During the time-series sediment load monitoring period, we successfully detected various sediment transport phenomena in natural streams, such as hysteresis loops and sensitive sediment fluctuations. The newly proposed sediment monitoring system depends only on the gauged features by H-ADCP without additional assumptions in hydraulic variables (e.g., friction slope and suspended sediment size distribution). This method can be applied to any ADCP-installed discharge monitoring station economically and is expected to enhance temporal resolution in sediment monitoring.

Development of Autonomous Cable Monitoring System of Bridge based on IoT and Domain Knowledge (IoT 및 도메인 지식 기반 교량 케이블 모니터링 자동화 시스템 구축 연구)

  • Jiyoung Min;Young-Soo Park;Tae Rim Park;Yoonseob Kil;Seung-Seop Jin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.28 no.3
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    • pp.66-73
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    • 2024
  • Stay-cable is one of the most important load carrying members in cable-stayed bridges. Monitoring structural integrity of stay-cables is crucial for evaluating the structural condition of the cable-stayed bridge. For stay-cables, tension and damping ratio are estimated based on modal properties as a measure of structural integrity. Since the monitoring system continuously measures the vibration for the long-term period, data acquisition systems should be stable and power-efficiency as the hardware system. In addition, massive signals from the data acquisition systems are continuously generated, so that automated analysis system should be indispensable. In order to fulfill these purpose simultaneously, this study presents an autonomous cable monitoring system based on domain-knowledge using IoT for continuous cable monitoring systems of cable-stayed bridges. An IoT system was developed to provide effective and power-efficient data acquisition and on-board processing capability for Edge-computing. Automated peak-picking algorithm using domain knowledge was embedded to the IoT system in order to analyze massive data from continuous monitoring automatically and reliably. To evaluate its operational performance in real fields, the developed autonomous monitoring system has been installed on a cable-stayed bridge in Korea. The operational performance are confirmed and validated by comparing with the existing system in terms of data transmission rates, accuracy and efficiency of tension estimation.

Monitoring of Major Viral Pathogen Contamination in New and Reused Broiler Farm Litter (육계 농장 깔짚에서의 주요 바이러스 병원체 오염 실태 조사)

  • Choi, Kang-Seuk;Jeon, Woo-Jin;Lee, Eun-Kyoung;Kwon, Jun-Hun;Lee, Jin-Hwa;Sung, Haan-Woo
    • Korean Journal of Poultry Science
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    • v.38 no.3
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    • pp.181-189
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    • 2011
  • A 5-month (May to November in 2009) monitoring program for five viral pathogens in litter, such as avian influenza virus A (AIV), infectious bronchitis virus (IBV), infectious bursal disease virus (IBDV), fowl adenovirus (FAdV), and chicken infectious anemia virus (CIAV) was conducted in 62 flocks at 31 broiler farms (two flocks in each farm) in Korea in 2009. Viral pathogens were examined twice (before and at the end of the rearing period) at 31 broiler farms, and included fresh litter (n = 16) and recycled litter (n = 15) farms. Thirty-seven viruses (14 IBVs, 2 IBDVs, 9 FAdVs, and 12 CIAVs) were isolated from 75% (12/16) and 73% (11/15) of fresh litter and reused litter farms during the period, respectively, indicating no difference in viral contamination rate between farms using new and reused litter. Of these isolates, three (two CIAVs and one IBDV) were isolated from recycled litter samples collected before the rearing period at three broiler farms, whereas the others (n=34) were isolated from fresh and recycled litter samples collected at the end of the rearing period. When the performances, involving viability, body weight, and feed conversion ratio, were compared, no significant differences were found between farms using fresh and recycled litter during the period.

Numerical Analysis of the Stability of a Tailings Dump Slope using Field Monitoring Results (현장 모니터링 결과를 이용한 광미 적치사면 안정성의 수치해석적 연구)

  • Song, Young-Suk
    • The Journal of Engineering Geology
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    • v.27 no.1
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    • pp.21-29
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    • 2017
  • Variations in matric suction were compared between field measurements and numerical analysis for a tailings dump slope. We performed an analysis of slope stability using precipitation records measured in the field, selecting the period (72 hours) of highest rainfall intensity during the field monitoring, for which the matric suction and rainfall records measured in the field were analyzed. In addition, we applied the precipitation records of this period to the numerical analysis. SEEP/W and SLOPE/W were used to analyze the seepage flow in the slope due to rainfall and to investigate the slope stability considering the wetting front depth from the ground surface, respectively. The seepage analysis, using SEEP/W, was carried out on the rainfall data obtained in the field. Comparisons between the field monitoring data and simulation results for matric suction show some quantitative difference but similar patterns of temporal variation. According to the results of slope stability analysis using SLOPE/W and the results of seepage analysis, the safety factor of the slope showed a sudden increase at the point of rapid increase in rainfall intensity. It then recovered because subsequent rainfall was scarce. Therefore, the stability of the tailings dump slope can be reasonably estimated if seepage and slope stability analyses, based on precipitation records, have been carried out.

REAL-TIME QUALITY EVALUATION OF FRICTION WELDING OF MACHINE COMPONENTS BY ACOUSTIC EMISSION (음향방출법(AE)에 의한 기계요소재의 마찰용접 품질 실시간 평가)

  • SAE-KYOO OH
    • Proceedings of the KWS Conference
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    • 1995.10a
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    • pp.3-20
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    • 1995
  • Development of Real-Time Quality Evaluation of Friction Welding by Acousitc Emission : Report 1 ABSTRACT : According as the friction welding has been increasingly applied in manufacturing various machine components because of its significant economic and technical advantages, one of the important concerns is the reliable quality monitoring method for a good weld quality with both joint strength and toughness in the process of its production. However no reliable nondestructive test method is available at present to determine the weld quality particularly in process of production. So this paper presents an experimental examination and quantitative analysis for the real-time evaluation of friction weld quality by acoustic emission, as a new approach which attempts finally to develop an on-line quality monitoring system design for friction welds using AE techniques. As one of the important results, it was confirmed, through this study, that AE techniques can be reliably applied to evaluating the friction weld qualify with 100% joint strength, as the cumulative AE counts occurring during welding period were quantitatively correlated with reliability at 95% confidence level to the joint strength of welds. Real-Time Evaluation of Automatic Production Quality Control for Friction Welding Machine : Report 2 Abstract : Both in-process quality control and high reliability of the weld is one of the major concerns in applying friction welding to the economical and qualified mass-production. No reliable nondestructive monitoring method is available at present to determine the real-time evaluation of automatic production quality control for friction welding machine. This paper, so that, presents the experimental examinations and statistical quantitative analysis of the correlation between the initial cumulative counts of acoustic emission(AE) occurring during plastic deformation period of the welding and the tensile strength of the welded joints as well as the various welding variables, as a new approach which attempts finally to develop an on-line (or real-time) quality monitoring system and a program for the process of real-time friction welding quality evaluation by initial AE cumulative counts. As one of the important results, it was well confirmed that the initial AE cumulative counts were quantitatively and cubically correlated with reliability of 95% confidence level to the joint strength of the welds, bar-to-bar (SCM4 to SUM31, SCM4 to SUM24L) and that an AE technique using initial AE counts can be reliably applied to real-time strength evaluation of the welded joints, and that such a program of the system was well developed resulting in practical possibility of real-time quality control more than 100% joint efficiency showing good weld with no micro-structural defects.

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An Illumination-Robust Driver Monitoring System Based on Eyelid Movement Measurement (조명에 강인한 눈꺼풀 움직임 측정기반 운전자 감시 시스템)

  • Park, Il-Kwon;Kim, Kwang-Soo;Park, Sangcheol;Byun, Hye-Ran
    • Journal of KIISE:Software and Applications
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    • v.34 no.3
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    • pp.255-265
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    • 2007
  • In this paper, we propose a new illumination-robust drowsy driver monitoring system with single CCD(Charge Coupled Device) camera for intelligent vehicle in the day and night. For this system that is monitoring driver's eyes during a driving, the eye detection and the measure of eyelid movement are the important preprocesses. Therefore, we propose efficient illumination compensation algorithm to improve the performance of eye detection and also eyelid movement measuring method for efficient drowsy detection in various illumination. For real-time application, Cascaded SVM (Cascaded Support Vector Machine) is applied as an efficient eye verification method in this system. Furthermore, in order to estimate the performance of the proposed algorithm, we collect video data about drivers under various illuminations in the day and night. Finally, we acquired average eye detection rate of over 98% about these own data, and PERCLOS(The percentage of eye-closed time during a period) are represented as drowsy detection results of the proposed system for the collected video data.

Slope Failure Predicting Method Using the Monitoring of Volumetric Water Content in Soil Slope (흙사면의 체적함수비 계측을 통한 사면파괴 예측기법 개발)

  • Kim Man-Il;Nishigaki Makoto
    • The Journal of Engineering Geology
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    • v.16 no.2 s.48
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    • pp.135-143
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    • 2006
  • This study presents the results of a series of laboratory scale slope failure experiments aimed at clarifying the process and the condition leading to the initiation of rainfall-induced slope failures. For the evaluation of hydrologic response of the model slopes in relation the process of failure initiation, measurements were focused on the changes in volumetric water content during the initiation process. The process leading to failure initiation commences by the development of a seepage face. It appears reasonable to conclude that slope failures are a consequence of the instability of seepage area formed at the slope surface during rainfall period. Therefore, this demonstrates the importance of monitoring the development seepage area for useful prediction about the timing of a particular failure event. The hydrologic response of soil slopes leading to failure initiation is characterized by three phases (phase I, II and III) of significant increase in volumetric water content in association with the ingress of wetting front and the rise of groundwater level within the slope. The period of phase III increase in volumetric water content can be used to initiate advance warning towards a failure initiation event. Therefore, for the concept outlined above, direct and continuous monitoring of the change in volumetric water content is likely to provide the possibility for the development of a reliable and effective means of predicting the occurrence of rainfall-induced slope failures.

Rural Stream Monitoring for Investigation of Stream Depletion in Rural Area (농촌소하천 건천화 실태조사를 위한 하천 수문.수질 모니터링)

  • Kim, Sung Min;Kim, Sung Jae;Kim, Sang Min
    • Journal of agriculture & life science
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    • v.46 no.3
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    • pp.129-141
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    • 2012
  • The purpose of this study was to monitor the stream flow of rural streams for investigating the status of stream depletion located downstream of irrigation reservoir. Bonghyun and Hai reservoirs area, located in Hai-myeon, the city of Gosung, Gyeongsangnam Province, were selected for study watersheds and streams. Stream flow monitoring was conducted 7 times from March to September, 2011. Stream flow was measured for 8 stations downstream from two reservoirs. The stream depletion was found in most of the downstream of reservoirs for the non-irrigation period and even in the irrigation period when there were a lot of antecedent precipitation. The correlation analysis for water quality data indicated that the correlation between BOD and T-N was highest for the reservoirs. The correlation between BOD, T-N, and turbidity was high for Hai reservoir and Bonghyeon reservoir. Continuous monitoring for rural streams located in downstream of reservoirs are required to quantify the status of stream flow depletion and determine the amount of environmental flows.

Bio-monitoring System using Shell Valve Movements of Pacific Oyster (Crassostrea gigas) (Detecting Abnormal Shell Valve Movements Under Hypoxia Water using Hall Element Sensor) (참굴(Crassostrea gigas)의 패각운동을 이용한 생물모니터링 시스템 연구 (빈산소에서 홀 소자를 이용한 패각운동 측정))

  • Jeon, Jin-Young;Moon, Su-Yeon;Oh, Seok Jin
    • Journal of Marine Life Science
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    • v.1 no.1
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    • pp.25-30
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    • 2016
  • We investigated the possibility of a bio-monitoring system for detecting hypoxic water in coastal area using shell valve movements of Pacific oyster (Crassostrea gigas), which showed most aquaculture production in Korea, with Hall element sensor. In filtrating water to confirm shell valve movement (SVM) under normal condition, it showed spikes which mean a relatively fast closing condition after opened condition of average 5~12 mm, and then the SVM showed back to opening condition slower than closing speed SVM numbers during light period were similar to that of dark period (p<0.05). When dissolved oxygen (DO) concentration was reduced from 7 mg l-1 to 3 mg l-1, SVM numbers were increasing with decreasing of DO, and showed abnormality SVMs as compare with normal condition. Moreover, in the condition of 2 mg l-1, Distance between light and left shell showed gradually decreased, and then we could not detected SVMs due to closed condition. Thus, if we quickly detect abnormal environmental variations as hypoxia water using bio-monitoring of SVM, it may be contribute to increased productivity by dramatically reducing damages in aquaculture.