• 제목/요약/키워드: multiple simultaneous monitoring

검색결과 62건 처리시간 0.027초

식생 모니터링을 위한 다중 위성영상의 시공간 융합 모델 비교 (Comparison of Spatio-temporal Fusion Models of Multiple Satellite Images for Vegetation Monitoring)

  • 김예슬;박노욱
    • 대한원격탐사학회지
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    • 제35권6_3호
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    • pp.1209-1219
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    • 2019
  • 지속적인 식생 모니터링을 위해서는 다중 위성자료의 시간 및 공간해상도의 상호 보완적 특성을 융합한 높은 시공간해상도에서의 식생지수 생성이 필요하다. 이 연구에서는 식생 모니터링에서 다중 위성자료의 시공간 융합 모델에 따른 시계열 변화 정보의 예측 정확도를 정성적, 정량적으로 분석하였다. 융합 모델로는 식생 모니터링 연구에 많이 적용되었던 Spatial and Temporal Adaptive Reflectance Fusion Model(STARFM)과 Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model(ESTARFM)을 비교하였다. 예측 정확도의 정량적 평가를 위해 시간해상도가 높은 MODIS 자료를 이용해 모의자료를 생성하고, 이를 입력자료로 사용하였다. 실험 결과, ESTARFM에서 시계열 변화 정보에 대한 예측 정확성이 STARFM보다 높은 것으로 나타났다. 그러나 예측시기와 다중 위성자료의 동시 획득시기의 차이가 커질수록 STARFM과 ESTARFM 모두 예측 정확성이 저하되었다. 이러한 결과는 예측 정확성을 향상시키기 위해서는 예측시기와 가까운 시기의 다중 위성자료를 이용해야 함을 의미한다. 광학영상의 제한적 이용을 고려한다면, 식생 모니터링을 위해 이 연구의 제안점을 반영한 개선된 시공간 융합 모델 개발이 필요하다.

Simultaneous determination and difference evaluation of 14 ginsenosides in Panax ginseng roots cultivated in different areas and ages by high-performance liquid chromatography coupled with triple quadrupole mass spectrometer in the multiple reaction-monitoring mode combined with multivariate statistical analysis

  • Xiu, Yang;Li, Xue;Sun, Xiuli;Xiao, Dan;Miao, Rui;Zhao, Huanxi;Liu, Shuying
    • Journal of Ginseng Research
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    • 제43권4호
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    • pp.508-516
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    • 2019
  • Background: Ginsenosides are not only the principal bioactive components but also the important indexes to the quality assessment of Panax ginseng Meyer. Their contents in cultivated ginseng vary with the growth environment and age. The present study aimed at evaluating the significant difference between 36 cultivated ginseng of different cultivation areas and ages based on the simultaneously determined contents of 14 ginsenosides. Methods: A high-performance liquid chromatography (HPLC) coupled with triple quadrupole mass spectrometer (MS) method was developed and used in the multiple reaction-monitoring (MRM) mode (HPLC-MRM/MS) for the quantitative analysis of ginsenosides. Multivariate statistical analysis, such as principal component analysis and partial least squares-discriminant analysis, was applied to discriminate ginseng samples of various cultivation areas and ages and to discover the differentially accumulated ginsenoside markers. Results: The developed HPLC-MRM/MS method was validated to be precise, accurate, stable, sensitive, and repeatable for the simultaneous determination of 14 ginsenosides. It was found that the 3- and 5-yr-old ginseng samples were differentiated distinctly by all means of multivariate statistical analysis, whereas the 4-yr-old samples exhibited similarity to either 3- or 5-yr-old samples in the contents of ginsenosides. Among the 14 detected ginsenosides, Rg1, Rb1, Rb2, Rc, 20(S)-Rf, 20(S)-Rh1, and Rb3 were identified as potential markers for the differentiation of cultivation ages. In addition, the 5-yr-old samples were able to be classified in cultivation area based on the contents of ginsenosides, whereas the 3- and 4-yr-old samples showed little differences in cultivation area. Conclusion: This study demonstrated that the HPLC-MRM/MS method combined with multivariate statistical analysis provides deep insight into the accumulation characteristics of ginsenosides and could be used to differentiate ginseng that are cultivated in different areas and ages.

Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS

  • Elijorde, Frank;Kim, Sungho;Lee, Jaewan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.1362-1376
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    • 2016
  • A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual organizations. To attain the desired reliability and energy efficiency in a cloud data center, trade-offs need to be carried out between system performance and power consumption. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. The work presented in this paper is directed towards the development of an Energy-efficient and Performance-aware Cloud System equipped with strategies for dynamic switching of optimization approach. Moreover, a platform is also provided for the deployment of a Wind Farm CMS (Condition Monitoring System) which allows ubiquitous access. Due to the geographically-dispersed nature of wind farms, the CMS can take advantage of the cloud's highly scalable architecture in order to keep a reliable and efficient operation capable of handling multiple simultaneous users and huge amount of monitoring data. Using the proposed cloud architecture, a Wind Farm CMS is deployed in a virtual platform to monitor and evaluate the aging conditions of the turbine's major components in concurrent, yet isolated working environments.

Simultaneous Determination of the Novel Neuroprotective Agent KR-31378 and its Metabolite KR-31612 Using High Performance Liquid Chromatography with Tandem Mass Spectrometry in Human Plasma

  • Kim, John;Ji, Hye-Young;Yoo, Sung-Eun;Kim, Sun-Ok;Lee, Dong-Ha;Lim, Hong;Lee, Hye-Suk
    • Archives of Pharmacal Research
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    • 제25권5호
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    • pp.647-651
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    • 2002
  • An LC/MS/MS method for the simultaneous determination of a neuroprotective agent for ischemia-reperfusion damage, KR-31378 and its N-acetyl metabolite KR-31612 in human plasma was developed. KR-31378, KR-31612 and the internal standard. KR-31543 were extracted from human plasma by liquid-liquid extraction. A reverse-phase HPLC separation was performed on Luna phenylhexyl column with the mixture of acetonitrile-5 mM ammonium formate (55:45, v/v) as mobile phase. The detection of analytes was performed using an electrospray ionization tandem mass spectrometry in the multiple reaction monitoring mode. The lower limits of quantification for KR-31378 and KR-31612 were 2.0 ng/ml. The method showed a satisfactory sensitivity, precision, accuracy, recovery and selectivity.

Simultaneous Determination of Statins in Human Urine by Dilute-and-Shoot-Liquid Chromatography-Mass Spectrometry

  • Jang, Haejong;Mai, Xuan-Lan;Lee, Gunhee;Ahn, Jae Hyoung;Rhee, Jongsook;Truong, Quoc-Ky;Vinh, Dinh;Hong, Jongki;Kim, Kyeong Ho
    • Mass Spectrometry Letters
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    • 제9권4호
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    • pp.95-99
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    • 2018
  • An innovative, simple, and rapid assay method based on liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) was developed and validated for the simultaneous determination of eight statin drugs in human urine. A simple sample clean-up procedure using the "dilute and shoot" (DAS) approach enabled a fast and reliable analysis. The influence of the dilution factor was investigated to ensure detectability and reduce the matrix effect. Chromatographic separation was performed on a Phenomenex Kinetex C18 column ($50{\times}3.0mm$ i.d., $2.6{\mu}m$) using an elution gradient of mobile phase A composed of 0.1% acetic acid, and mobile phase B composed of acetonitrile, at a flow rate of 0.35 mL/min. Quantitation was performed on a triple quadrupole mass spectrometer operated in multiple reaction monitoring (MRM) mode using electrospray ionization in positive ion mode. The total chromatographic run time was 15 min. The method was validated for selectivity, sensitivity, recovery, linearity, accuracy, precision, and stability. The present method was successfully applied to the analysis of Rosuvastatin in urine samples after oral administration to healthy human subjects.

Simultaneous Determination of Anthraquinone, Flavonoids, and Phenolic Antidiabetic Compounds from Cassia auriculata Seeds by Validated UHPLC Based MS/MS Method

  • Girme, Aboli;Saste, Ganesh;Chinchansure, Ashish;Joshi, Swati;Kunkulol, Rahul;Hingorani, Lal;Patwardhan, Bhushan
    • Mass Spectrometry Letters
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    • 제11권4호
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    • pp.82-89
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    • 2020
  • A systematic isolation and characterization study for Cassia auriculata (CA) seeds resulted in identifying antidiabetic compounds 1,3,8-trihydroxyanthraquinone and quercetin, quercetin-3-O-rutinoside, gallic acid, caffeic acid, ferulic acid, and ellagic acid. The ultra-high-performance liquid chromatography based triple quadrupole mass spectrometry methodology was developed and validated for simultaneous identification and confirmation of these compounds from CA seeds. Multiple reaction monitoring (MRM) based quantification method was developed with MRM optimizer software for MS1 and MS2 mass analysis. The method was optimized on precursor ions and product ions with the ion ratio of each compound. The calibration curves of seven bioactive analytes showed excellent linearity (r2 ≥ 0.99). The quantitation results found precise (RSD, < 10 %) with good recoveries (84.58 to 101.42%). The matrix effect and extraction recoveries were found within the range (91.66 to 102.11%) for the CA seeds. This is the first MS/MS-based methodology applied to quantifying seven antidiabetic compounds in CA seeds and its extract for quality control purposes.

Damage detection using both energy and displacement damage index on the ASCE benchmark problem

  • Khosraviani, Mohammad Javad;Bahar, Omid;Ghasemi, Seyed Hooman
    • Structural Engineering and Mechanics
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    • 제77권2호
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    • pp.151-165
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    • 2021
  • This paper aims to present a novelty damage detection method to identify damage locations by the simultaneous use of both the energy and displacement damage indices. Using this novelty method, the damaged location and even the damaged floor are accurately detected. As a first method, a combination of the instantaneous frequency energy index (EDI) and the structural acceleration responses are used. To evaluate the first method and also present a rapid assessment method, the Displacement Damage Index (DDI), which consists of the error reliability (β) and Normal Probability Density Function (NPDF) indices, are introduced. The innovation of this method is the simultaneous use of displacement-acceleration responses during one process, which is more effective in the rapid evaluation of damage patterns with velocity vectors. In order to evaluate the effectiveness of the proposed method, various damage scenarios of the ASCE benchmark problem, and the effects of measurement noise were studied numerically. Extensive analyses show that the rapid proposed method is capable of accurately detecting the location of sparse damages through the building. Finally, the proposed method was validated by experimental studies of a six-story steel building structure with single and multiple damage cases.

컴팩션 그라우팅 공법의 품질관리 시스템 개발 및 신뢰성 검증 (Development and Reliability Verification of Quality Control System for Compaction Grouting Method)

  • 서석현;이정상;정의엽;박상영;이효범
    • 한국지반신소재학회논문집
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    • 제19권4호
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    • pp.11-20
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    • 2020
  • 본 연구에서는 연약지반의 개량 및 부등침하가 일어난 건물의 복원 등에 사용할 수 있는 컴팩션 그라우팅 공법을 소개하였다. 기존 컴팩션 그라우팅 공법에서 사용되는 펌프는 1공씩 주입하는 시스템으로 시공 효율성이 저하되고,아날로그 주입방식으로 현장 작업자가 수동으로 시공을 관리하여 일관된 품질관리가 어려웠다. 기존 시공에서의 문제점을 해결하기 위하여 펌프와 품질관리 시스템을 개발하였다. 품질관리 시스템은 주입재료의 자동 배합 시스템, 다중 동시 주입 펌프, 주입관리 모니터링 시스템으로 구성하였다. 현장 시험을 통해 품질관리 시스템의 성능을 검증하였고 컴팩션 그라우팅 공법의 시험시공 후 품질 시험을 통하여 지반개량 성능을 확인하였다. 따라서 개발된 통합 품질관리 시스템을 활용한다면 시공 및 품질 확인이 어려운 현장에서 일관된 품질의 보장과 시공의 효율성 및 안정성을 향상시킬 수 있을 것으로 기대된다.

태양광발전의 태양추적기제어반 및 모니터링시스템 구현에 관한 연구 (A Study on an Implementation of Control Panel of Sun Trackers and Monitoring System for Photovoltaic Generation Plants)

  • 노태정;박민용;이승현
    • 한국산학기술학회논문지
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    • 제11권9호
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    • pp.3161-3167
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    • 2010
  • 제어를 위한 기구부의 위치 정보는 BLDC 모터의 홀센서를 이용하여 정확한 위치 및 속도제어가 가능하도록 알고리즘을 구현하였으며, 실제 기구부의 방위각과 고도각에 대한 제어 정밀도를 측정한 결과 최대 $2.02^{\circ}$, $1.01^{\circ}$. 오차범위 $1.86^{\circ}$이내로 비교적 정확하였다. 태양광 발전 모니터링 시스템은 LCU를 중심으로 한 통합 모니터링 제어 시스템으로 모든 장비들은 1:N 방식으로 다중 동시접속이 가능하고, 원격지에서 시스템의 제어 및 현재 상태에 대한 실시간 감시가 가능하도록 개발하였다.

EMERGING POSSIBILITIES FOR NIRS TO CONTRIBUTO TO ENVIRONMENTAL ANALYSIS

  • Malley, Diane
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1071-1071
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    • 2001
  • Near-infrared spectroscopy (NIRS) is potentially a powerful and revolutionary technology for environmental analysis. It is supported by a large body of scientific and experiential knowledge. The instrumentation is well-developed, with easy-to-use, highly dependable instruments, but at the same time it is still developing, particularly with the production of more portable and rapid instruments, and more powerful software. NIRS is used globally in numerous industries for commodity analysis. Yet NIRS is largely unknown in the field of environmental chemistry and monitoring, and is not even routinely used in soil analysis, where the research literature on NIRS extends over four decades. Part of the explanation for the poor visibility of NIRS is the fact that NIRS is not routinely taught in Chemistry programs in universities, where most environmental chemists and environmental technicians are trained. This presentation examines the unique capabilities of NIRS, such as rapid, real-time analysis; analysis of whole samples; simultaneous analysis of multiple constituents; cost-effectiveness, and portability, as they match needs for analysis in several environmental areas. Examples of NIRS usage and published and unpublished results will be described for such areas as soil and sediment analysis; water quality monitoring; and nutrient loading in application of manures and sewage sludge (biosolids) to land. Present barriers to the use of NIRS in environmental analysis will be discussed. It is argued that emerging environmental problems and increasing attention to some traditional problems will enhance the application of NIRS in the future.

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