• 제목/요약/키워드: Curve Fitting Method

검색결과 419건 처리시간 0.031초

불포화 자연사면의 안정해석시 흙-함수특성곡선 맞춤계수의 영향 (The Influence of Fitting Parameters on the Soil-Water Characteristics Curve in Stability Analysis of an Unsaturated Natural Slope)

  • 김재홍;유용재;송영석
    • 지질공학
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    • 제31권2호
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    • pp.165-178
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    • 2021
  • 자연사면을 대상으로 강우에 따른 침투해석 및 사면안정해석을 통하여 사면토층의 흙-함수특성곡선(SWCC) 맞춤계수에 따른 안정성의 영향을 평가하였다. 연구 대상사면의 토질시료를 채취하여 토층의 물리적, 역학적 및 불포화 특성을 실험하였다. 현장조건의 흙-함수특성곡선(SWCC)의 맞춤계수 α 및 n을 변화시켜 침투해석을 통한 포화심도를 산정하였으며, 이를 고려하여 한계평형해석기법을 이용한 사면안정해석을 수행하였다. 강우에 의한 침투해석 결과에 따르면 맞춤계수 α가 감소함에 따라 토층 내 포화심도가 급격하게 증가하며, 전체 토층에 대한 포화시간도 짧아지는 것으로 나타났다. 그리고 포화심도를 고려한 사면안정해석결과에 의하면 맞춤계수 α가 감소함에 따라 사면안전율은 급격하게 감소하지만, 맞춤계수 n을 증가시키더라도 사면안전율의 변화는 매우 작은 것으로 나타났다. 따라서 강우침투로 인한 포화심도와 이를 고려한 사면안정성은 흙-함수특성곡선(SWCC)의 맞춤계수 α에 크게 영향을 받으며, 맞춤계수 n의 영향은 상대적으로 매우 작음을 알 수 있다.

위상 배열 코일 영상에서의 밝기 비균등성을 projection에 기반하여 수정하는 방법 (A Projection-based Intensity Correction Method of Phased-Array Coil Images)

  • 윤성대;정준영;한예지;박현욱
    • Investigative Magnetic Resonance Imaging
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    • 제9권1호
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    • pp.36-42
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    • 2005
  • 목적 : 위상 배열(phased array) 코일의 sensitivity profile을 추정하는 알고리즘을 제시하고, 이로부터 위상 배열 코일 영상에서 나타나는 밝기 비균등성 문제를 해결하고자 한다. 대상 및 방법 : 코일의 sensitivity profile을 추정하기 위해, 우선 그 영상을 여러 각도에 대해 회전을 시켜가면서 projection 데이터를 얻는다. 영상의 해부학적인 구조, 즉 고주파 성분을 제거하기 위해, 앞에서 구한 projection 데이터에 적절한 curve fitting을 적용하여, projection profile을 부드럽게 변하는 곡선으로 만든다. Fitting된 projection profile에 filtered back projection 알고리즘을 적용하면, 원하는 코일의 sensitivity profile을 얻을 수 있다. 추정된 코일의 sensitivity profile 정보를 이용하여 획득한 위상 배열 코일 영상의 밝기를 균등화시킨다. 제안된 알고리즘은 각각, 8채널 및 4채널 위상 배열 코일을 사용하여 얻은 phantom과 사람 뇌 영상에 대해 적용해 봤다. 결과 : 알고리즘의 성능을 측정하기 위해, 본 알고리즘으로부터 얻어진 결과와 단순히 위상 배열코일 영상에 sum-of-square를 취하여 얻어진 결과의 밝기 균등성을 서로 비교해 보았다. 이때, 본 알고리즘으로부터 얻어진 영상의 밝기 균등성이 sum-of-square의 경우보다 더 높음을 확인할 수 있었다. 정량적으로는 밝기 변화량이 제안한 알고리즘에 의해 $13.1\%$에서 $6.1\%$로 감소되었다. 결론 : 제안한 알고리즘은 위상 배열 코일로부터 얻어진 영상의 밝기 비균등성을 효과적으로 보정할 수 있었다.

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연직차수벽에서 필터케익을 고려한 순간 변위시험 해석방법 (Slug Test Analysis in Vertical Cutoff Walls with Consideration of Filter Cake)

  • 웽테바오;이철호;최항석
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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    • pp.220-228
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    • 2008
  • In constructing a slurry trench cutoff wall, a thin but relatively impermeable layer called filter cake can be formed on the excavation surface. The filter cake significantly influences the result of slug test analysis in the cutoff wall. This study is to examine the effect of filter cake on evaluating in situ hydraulic conductivity of the vertical cutoff wall along with slug test analyses. The numerical program Slug_3D was modified to take filter cake into account in the slug test simulation. With consideration of filter cake, the type curve method and the modified line-fitting method were used to reanalyze the case study taken from a landfill site. The previous results achieved by Choi and Daniel (2006b) without consideration of filter cake have been compared with the results in this study. The considerable difference between the two results shows the necessity of considering the filter cake in practice.

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심전도 신호처리 및 분석에 관한 기초연구 (A Basic Study on the signal Processing and Analysis of ECG)

  • 정구영;권대규;유기호;이성철
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.294-294
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    • 2000
  • In this paper, we would like to discuss the signal processing and the algorithm for ECG analysis. The ECG gives us information about the condition of the heart muscle, because myocardial abnormality or infarction is inscribed on the ECG during myocardial depolarization and repolarization. Analyzing the ECG signal, we can find heart disease, for example, arrhythmia and myocardial infarction, etc. Particularly, detecting arrhythmia is more important, because serious arrhythmia can take away the life from patients within ten minutes. The wavelet transform decomposes the ECG signal into high and low frequency component using wavelet function. Recomposing high frequency bands including QRS complex, we can detect QRS complex and eliminate the noise from the original ECG signal. To recognize the ECG signal pattern, we adopted the curve-fitting partially and statistical method. The ECG signal is divided into small parts based on QRS complex, and then, each part is approximated to the polynomials. Comparing the approximated ECG pattern with some kinds of heart disease ECG pattern, we can detect and classify the kind of heart disease.

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고강도 구조용강의 저온 충격특성 평가 (Evaluation of Impact Characteristics for High Strength Structural Steel at Low Temperature)

  • 김재훈;김덕회;김후식;조성석;전병완;심인옥
    • 한국추진공학회지
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    • 제5권3호
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    • pp.1-9
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    • 2001
  • 잠수함용 재료로 개발된 고강도 구조용강의 충격 시험이 수행되었다. 특히 샤르피 충격시험기를 이용하여 저온에서 구조용 강의 충격특성을 평가하였다. 최소흡수에너지, 최대흡수에너지, 연성 취성 천이온도를 결정하기 위하여 hyperbolic tangent curve fitting법을 이용하였다. 시험결과로부터 샤르피 충격에너지와 횡팽창량 사이의 비례 관계식을 산출하였다. 시험온도 변화에 따른 파단면 특성을 평가하기 위하여 SEM을 이용하여 파단면을 관찰하였다.

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룰 베이스를 이용한 공조기의 고장검출 및 진단 (Fault Detection and Diagnosis of an Air Handling Unit Based on Rule Bases)

  • 한도영;주명재
    • 설비공학논문집
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    • 제14권7호
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    • pp.552-559
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    • 2002
  • The fault detection and diagnosis (FDD) technology may be applied in order to decrease the energy consumption and the maintenance cost of the air conditioning system. In this study, rule bases and curve fitting models were used to detect faults in an air handling unit. Gradually progressed faults, such as the fan speed degradation, the coil water leakage, the humidifier nozzle clogging, the sensor degradation and the damper stoppage, were applied to the developed FBD system. Simulation results show good detections and diagnoses of these faults. Therefore, this method may be effectively used for the fault detection and diagnosis of the air handling unit.

Material Recognition Using Temperature Response Curve Fitting and Fuzzy Neural Network

  • Young-C. Lim;Park, Jin-K;Ryoo, Young-J;Jang, Young-H;Kim, I-G.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.15-24
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    • 1995
  • This paper describes a system that can be used to recognize an unknown material regardless of the fuzzy neural network(FNN). There are some problems to realize the recognition system using temperature response. It requires too many memories to store the vast temperature response data and it has to be filtered to remove noise which occurs in experiment. And the temperature response is influenced by the change of ambient temperature. So, this paper proposes a practical method using curve fitting to remove above problems of memories and noise. and FNN is proposed to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient. Temperatures and known thermal conductivity, the thermal conductivity of the material can be inferred on various ambient temperatures. So the material can be recognized by the thermal conductivity.

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가속도계 온도안정화 상태에서 고정이득방식 자체정렬의 성능개선 방법에 대한 연구 (A Study on Performance Improvement Method of Fixed-gain Self-alignment on Temperature Stabilizing State of Accelerometers)

  • 이인섭
    • 한국군사과학기술학회지
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    • 제19권4호
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    • pp.435-442
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    • 2016
  • For inertial navigation systems, initial information such as position, velocity and attitude is required for navigation. Self-alignment is the process to determine initial attitude on stationary condition using inertial measurements such as accelerations and angular rates. The accuracy of self-alignment is determined by inertial sensor error. As soon as an inertial navigation system is powered on, the temperature of accelerometer rises rapidly until temperature stabilization. It causes acceleration error which is called temperature stabilizing error of accelerometer. Therefore, temperature stabilizing error degrades the alignment accuracy and also increases alignment time. This paper suggests a method to calculate azimuthal attitude using curve fitting of horizontal control angular rate in fixed-gain self-alignment. It is verified by simulation and experiment that the accuracy is improved and the alignment time is reduced using the proposed method under existence of the temperature stabilizing error.

IDRS 시스템에서 Curve Fitting이 적용된 NLS 비용함수를 이용한 방위/거리 추정 기법 (Bearing/Range Estimation Method using NLS Cost Function in IDRS System)

  • 정태진;김대경;권범수;윤경식;이균경
    • 한국군사과학기술학회지
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    • 제14권4호
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    • pp.590-597
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    • 2011
  • The IDRS provides detection, classification and bearing/range estimation by performing wavefront curvature analysis on an intercepted active transmission from target. Especially, a estimate of the target bearing/range that significantly affects the optimal operation of own submarine is required. Target bearing/range can be estimated by wavefront curvature ranging which use the difference of time arrival at sensors. But estimation ambiguity occur in bearing/range estimation due to a number of peaks caused by high center frequency and limited bandwidth of the intercepted active transmission and distortion caused by noise. As a result the bearing/range estimation performance is degraded. To estimate target bearing/range correctly, bearing/range estimation method that eliminate estimation ambiguity is required. In this paper, therefore, for wavefront curvature ranging, NLS cost function with curve fitting method is proposed, which provide robust bearing/range estimation performance by eliminating estimation ambiguity. Through simulation the performance of the proposed bearing/range estimation methods are verified.

연직드레인 공법에 의한 연약지반의 압밀거동 (Consolidation Behavior of Soft Ground by prefabricated Vertical Drains)

  • 이달원
    • 한국농공학회지
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    • 제42권5호
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    • pp.133-143
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    • 2000
  • A large scale field test of prefabricated vertical drains was performed to anayze the effect of parameters of the very soft clay at a test site. compression index and the coefficient of horizontal consolidation obtained by back-analysis of settlement data were compared with those obtained by means of laboratory tests. Hyperbolic method, Asaoka meoth and curve fitting method were used to compute final settlement of coefficient of consolidation. The relationships of settlement measurement(Sm) versus design settlement(St) and the measurement consolidation ratio(Um) versus design consolidation (Ut) were shown as Sm=(1.0~1.1) St , Um=(1.13~1.17) Ut at 1.0m spacing of drain and Sm=(0.7~0.8)St, Um= (0.92~0.99) Ut at 1.5 m spacing of drain, respectively . The relationships of the field compression index(CcField) and virgin compression index(vcc lab) were shown as Ccfield =(1.0~1.2)vcc lab . But it was nearly within the same range when considering the error factor with the determination method of virgin compression index and the prediction back-analysis of the settlement data was larger than the coefficient of vertical consolidation, and the ratio of consolidation coefficient (Ch/Cv) was Ch =(2.4~2.9) Cv , Ch=(3.4~4.2) Cv at 1.0m and 1.5m spacing of drain, respectively.

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