• Title/Summary/Keyword: uncertainty measurement

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A Study on the Reliability Comparison of Median Frequency and Spike Parameter and the Improved Spike Detection Algorithm for the Muscle Fatigue Measurement (근피로도 측정을 위한 중간 주파수와 Spike 파라미터의 신뢰도 비교 및 향상된 Spike 검출 알고리듬에 관한 연구)

  • 이성주;홍기룡;이태우;이상훈;김성환
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.5
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    • pp.380-388
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    • 2004
  • This study proposed an improved spike detection algorithm which automatically detects suitable spike threshold on the amplitude of surface electromyography(SEMG) signal during isometric contraction. The EMG data from the low back muscles was obtained in six channels and the proposed signal processing algorithm is compared with the median frequency and Gabriel's spike parameter. As a result, the reliability of spike parameter was inferior to the median frequency. This fact indicates that a spike parameter is inadequate for analysis of multi-channel EMG signal. Because of uncertainty of fixed spike threshold, the improved spike detection algorithm was proposed. It automatically detects suitable spike threshold depending on the amplitude of the EMG signal, and the proposed algorithm was able to detect optimal threshold based on mCFAR(modified Constant False Alarm Rate) in the every EMG channel. In conclusion, from the reliability points of view, neither median frequency nor existing spike detection algorithm was superior to the proposed method.

Improving Covariance Based Adaptive Estimation for GPS/INS Integration

  • Ding, Weidong;Wang, Jinling;Rizos, Chris
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.259-264
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    • 2006
  • It is well known that the uncertainty of the covariance parameters of the process noise (Q) and the observation errors (R) has a significant impact on Kalman filtering performance. Q and R influence the weight that the filter applies between the existing process information and the latest measurements. Errors in any of them may result in the filter being suboptimal or even cause it to diverge. The conventional way of determining Q and R requires good a priori knowledge of the process noises and measurement errors, which normally comes from intensive empirical analysis. Many adaptive methods have been developed to overcome the conventional Kalman filter's limitations. Starting from covariance matching principles, an innovative adaptive process noise scaling algorithm has been proposed in this paper. Without artificial or empirical parameters to be set, the proposed adaptive mechanism drives the filter autonomously to the optimal mode. The proposed algorithm has been tested using road test data, showing significant improvements to filtering performance.

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A Cascaded Fuzzy Inference System for University Non-Teaching Staff Performance Appraisal

  • Neogi, Amartya;Mondal, Abhoy Chand;Mandal, Soumitra Kumar
    • Journal of Information Processing Systems
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    • v.7 no.4
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    • pp.595-612
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    • 2011
  • Most organizations use performance appraisal system to evaluate the effectiveness and efficiency of their employees. In evaluating staff performance, performance appraisal usually involves awarding numerical values or linguistic labels to employees performance. These values and labels are used to represent each staff achievement by reasoning incorporated in the arithmetical or statistical methods. However, the staff performance appraisal may involve judgments which are based on imprecise data especially when a person (the superior) tries to interpret another person's (his/her subordinate) performance. Thus, the scores awarded by the appraiser are only approximations. From fuzzy logic perspective, the performance of the appraisee involves the measurement of his/her ability, competence and skills, which are actually fuzzy concepts that can be captured in fuzzy terms. Accordingly, fuzzy approach can be used to handle these imprecision and uncertainty information. Therefore, the performance appraisal system can be examined using Fuzzy Logic Approach, which is carried out in the study. The study utilized a Cascaded fuzzy inference system to generate the performance qualities of some University non-teaching staff that are based on specific performance appraisal criteria.

Uncertainty Analysis about the Change of Partial Section of Discharge Measurement (유량측정에 따른 측선수 변화에 대한 불확도 분석)

  • Kim, Jung-Nam;Lee, Jae-Hyug;Jeon, Byung-Hark;Kim, Sung-Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.688-688
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    • 2012
  • 불확도의 요인은 유속-면적법에 적용되는 방정식의 일반화된 형태를 고려하여 나타낼 수 있다. 하천에 대한 불확도, 수심에 대한 불확도, 점 유속의 결정에 대한 불확도, 평균유속의 예측과 유량에 대한 불확도가 불확도산정에 많은 영향을 미치는 요소라 할 수 있다. 유량측정을 실시할 때 불확도를 개선하기 위해서는 유속에 비례하여 측선수를 조절함이 좋은 등급을 확보하기에 성과의 품질 향상에 크게 기여하는 결과를 얻을 수 있다. 본 연구에서는 자연하천의 현장지점에서 실시간 수위를 확인하며 유속을 측정하였고, 측정 성과를 이용하여 유량과 불확도를 산정, 비교 분석하였다. 유량측정에 있어 측정 기기로는 국내에서 일반적으로 사용되는 회전식 유속계(PriceAA)를 사용하여 측정을 실시하였으며, 측정방법으로는 도섭법을 기준으로 1점법, 2점법, 3점법에 이르게 다양한 성과를 실측하여 측정한 결과에 적용된 측선수에 따른 불확도를 분석하였다. 그 결과 0.5 m/s 이하의 유속과 $1.5m^3/s$ 의 유량에서는 그림 2에서 제시하였듯 30개 이상의 측선수를 확보하므로 5 % 미만의 2등급을 확보할 수 있었다. 그림 3은 9개의 지점 28회의 측정 결과를 측선수별 평균 불확도를 산정하여 유속 0.5m/s ~ 0.7m/s의 범위에서는 30개 미만의 측선수를 확보하여도 2등급의 품질을 확보할 수 있었으며, 이는 유속과 측선수의 관계를 나타내는 결과이다. 따라서 측정 자료의 신뢰성을 확보할 수 있는 2등급 이상을 얻기 위해서는 국제기준(ISO 748)에 따른 측선수를 적용하되 현장지점의 특성에 따라 유속을 고려한 측선수를 적용하는 것이 필요할 것으로 판단된다.

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Uncertainty Analysis of various soil moisture measurement in mountains. (산지 토양수분량의 불확실성 분석)

  • Kim, Kiyoung;Lee, Yeongil;Jung, Sungwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.316-316
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    • 2019
  • 최근 빈번한 자연재해로 인해 기상 및 지구물리학적 요소들을 관측하는 연구들이 활발히 진행되고 있으며, 그중 지표와 기상을 연결해주는 토양수분 관측은 지구에서 일어나는 현상에 대한 이해도를 높이기 위한 중요한 요소로써 인식되고 있다. 이러한 토양수분 자료는 지난 몇 년 동안 다양한 측정 방법과 알고리즘 개발이 이루어져왔으나 이러한 방식으로 산출된 데이터를 무분별하게 이용하기에 앞서 최적의 사용을 위해 오류 구조를 파악하고 정량적으로 측정하는 분석이 필요하다. 따라서 Triple collocation(TC) 기법을 활용하여 가상의 실제값(hypothetical truth)을 가정하고 각각의 산출데이터의 측정 불확도와 상관성을 추정할 수 있다. 본 연구에서는 인공위성, 모델자료와 같은 측정 방법뿐만 아니라 지점에 설치하여 물리적인 방법을 통한 토양수분 산출방식에도 관측상의 오차가 존재함을 인지하고, 이러한 오차가 존재하는 다양한 데이터들을 분석하였다. 이용된 데이터는 설마천 산지 사면에 설치된 유전율식(TDR, Time Domain Reflectometer) 측정장비, Cosmic-Ray newtron Probe, Noah 지표모델을 활용한 자료 동화 자료인 Global Land Data Assimilation System (GLDAS)를 입력 자료로 하여 TC 기법에 적용하였다. 분석 결과는 유역의 토양수분 관측에 대한 다양한 방법의 불확실성을 규명하는데 가장 중요한 연구로써 활용될 것으로 기대 된다.

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Evaluation of Standard Uncertainty for Velocity Coefficient in Discharge Measurement using Floats (부자를 이용한 유량측정법의 유속계수 표준 불확도 평가)

  • Ahn, Myeong Hui;Kim, Seojun;Yoon, Byungman
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.72-72
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    • 2017
  • 하천의 유량 측정 자료는 수자원 개발 및 하천 방재의 중요한 기초 자료로 이용되며 정확한 유량 측정자료를 얻기 위해 많은 수자원 전문가들이 노력하고 있다. 그 결과 국내 하천 유량측정 기술들이 선진화되고 있으며 유량 측정 성과의 양적 측면에서의 개선이 이루어졌다. 하지만 유량 측정 결과에 대한 질적 평가 즉, 측정 불확도 평가에 대한 기준이 미흡하기 때문에 유량 측정 성과의 신뢰도 개선을 위한 연구가 필요한 실정이다. 일반적인 홍수 시 하천 유량측정 방법으로 가장 많이 사용하고 있는 부자법의 경우 유량 측정 불확도 평가방법이 ISO 748:2007 지침에 제시되어 있다. 구체적으로 ISO 748:2007 지침에서는 측선 수에 대한 불확도, 하폭 측정의 불확도, 수심 측정의 불확도 그리고 부자 유속계수, 유하경로 이탈, 유하시간 측정 등으로 발생하는 평균유속 측정 불확도를 고려하여 부자를 이용한 유량 측정 불확도를 평가한다. 하지만, 부자유속계수의 불확도, 유하경로 이탈에 따른 불확도, 유하시간 측정의 불확도를 평가할 수 있는 방법이나 정량적인 불확도에 대한 기준이 포함되어 있지 않아 실무에서는 이와 같은 불확도 인자들의 표준불확도를 무시하고 유량 측정 불확도를 제시하고 있어 실제 발생할 수 있는 유량 측정 불확도 보다 작게 제시하고 있는 문제가 있다. 이에 본 연구에서는 부자를 이용한 유량 측정 시 평균유속 불확도에 영향을 미치는 요인들 중 기여도가 크다고 판단되는 부자 유속계수에 대한 표준불확도를 실규모 실험을 통해 산정하였으며, 이 결과는 향후 부자를 이용한 유량 측정 불확도 평가를 위한 기준 마련에 도움이 될 것으로 기대한다.

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A Study on Effective Correction of Internal Drag and Wall Interference Using Response Surface in Wind Tunnel Test (풍동시험에서 반응면을 이용한 내부 항력 및 벽면 효과의 효율적 보정방안 연구)

  • Kim, Junemo;Lee, Yeongbin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.5
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    • pp.637-643
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    • 2019
  • Wind tunnel testing for flow-through model is necessary for performance prediction of an aircraft with air-breathing jet engine. Internal drag correction and wall correction are performed to acquire preciser wind tunnel test data. Many test runs are generally required to correct internal drag and wall interference in wind tunnel test. In this study we investigated more effective correction schemes using the response surface method. Even though the number of tests required for these schemes was much smaller than that for conventional methods, the differences between corrections using these schemes and conventional methods were similar level with the uncertainty of measurement except for the data near the boundaries.

Vulnerability assessment of strategic buildings based on ambient vibrations measurements

  • Mori, Federico;Spina, Daniele
    • Structural Monitoring and Maintenance
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    • v.2 no.2
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    • pp.115-132
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    • 2015
  • This paper presents a new method for seismic vulnerability assessment of buildings with reference to their operational limit state. The importance of this kind of evaluation arises from the civil protection necessity that some buildings, considered strategic for seismic emergency management, should retain their functionality also after a destructive earthquake. The method is based on the identification of experimental modal parameters from ambient vibrations measurements. The knowledge of the experimental modes allows to perform a linear spectral analysis computing the maximum structural drifts of the building caused by an assigned earthquake. Operational condition is then evaluated by comparing the maximum building drifts with the reference value assigned by the Italian Technical Code for the operational limit state. The uncertainty about the actual building seismic frequencies, typically significantly lower than the ambient ones, is explicitly taken into account through a probabilistic approach that allows to define for the building the Operational Index together with the Operational Probability Curve. The method is validated with experimental seismic data from a permanently monitored public building: by comparing the probabilistic prediction and the building experimental drifts, resulting from three weak earthquakes, the reliability of the method is confirmed. Finally an application of the method to a strategic building in Italy is presented: all the procedure, from ambient vibrations measurement, to seismic input definition, up to the computation of the Operational Probability Curve is illustrated.

EVOLUTION OF NUCLEAR FUEL MANAGEMENT AND REACTOR OPERATIONAL AID TOOLS

  • TURINSKY PAUL J.;KELLER PAUL M.;ABDEL-KHALIK HANY S.
    • Nuclear Engineering and Technology
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    • v.37 no.1
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    • pp.79-90
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    • 2005
  • In this paper are reviewed the current status of nuclear fuel management and reactor operational aid tools. In addition, we indicate deficiencies in current capabilities and what future research is judged warranted. For the nuclear fuel management review the focus is on light water reactors and the utilization of stochastic optimization methods applied to the lattice, fuel bundle, core loading pattern, and for BWRs the control rod pattern/core flow design decision making problems. Significant progress in addressing separately each of these design problems on a single cycle basis is noted; however, the outstanding challenge of addressing the integrated design problem over multiple cycles under conditions of uncertainty remains to be addressed. For the reactor operational aid tools review the focus is on core simulators, used to both process core instrumentation signals and as an operator aid to predict future core behaviors under various operational strategies. After briefly reviewing the current status of capabilities, a more in depth review of adaptive core simulation capabilities, where core simulator input data are adjusted within their known uncertainties to improved agreement between prediction and measurement, is presented. This is done in support of the belief that further development of adaptive core simulation capabilities is required to further significantly advance the utility of core simulators in support of reactor operational aid tools.

Observational Arc-Length Effect on Orbit Determination for KPLO Using a Sequential Estimation Technique

  • Kim, Young-Rok;Song, Young-Joo;Bae, Jonghee;Choi, Seok-Weon
    • Journal of Astronomy and Space Sciences
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    • v.35 no.4
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    • pp.295-308
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    • 2018
  • In this study, orbit determination (OD) simulation for the Korea Pathfinder Lunar Orbiter (KPLO) was accomplished for investigation of the observational arc-length effect using a sequential estimation algorithm. A lunar polar orbit located at 100 km altitude and $90^{\circ}$ inclination was mainly considered for the KPLO mission operation phase. For measurement simulation and OD for KPLO, the Analytical Graphics Inc. Systems Tool Kit 11 and Orbit Determination Tool Kit 6 software were utilized. Three deep-space ground stations, including two deep space network (DSN) antennas and the Korea Deep Space Antenna, were configured for the OD simulation. To investigate the arc-length effect on OD, 60-hr, 48-hr, 24-hr, and 12-hr tracking data were prepared. Position uncertainty by error covariance and orbit overlap precision were used for OD performance evaluation. Additionally, orbit prediction (OP) accuracy was also assessed by the position difference between the estimated and true orbits. Finally, we concluded that the 48-hr-based OD strategy is suitable for effective flight dynamics operation of KPLO. This work suggests a useful guideline for the OD strategy of KPLO mission planning and operation during the nominal lunar orbits phase.