• 제목/요약/키워드: Moving least squares method

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인공신경망 및 통계적 방법을 이용한 오존 형성의 예측 (Prediction of Ozone Formation Based on Neural Network and Stochastic Method)

  • 오세천;여영구
    • 청정기술
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    • 제7권2호
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    • pp.119-126
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    • 2001
  • 인공신경 회로망과 통계적 방법을 이용하여 오존 형성의 예측에 관한 연구를 수행하였다. 파라미터 평가방법으로는 실시간 파라미터를 평가하기 위하여 ELS 및 RML 방법이 사용되었으며 오존 형성의 모델로는 ARMAX 모델을 사용하였다. 또한 3층 구조를 갖는 인공신경 회로망 방법을 이용하여 오존 형성의 예측 시험을 수행하였으며 본 연구에 사용된 통계적 방법의 성능을 평가하기 위하여 오존 형성의 예측결과를 실제 자료와 비교 분석을 하였다. 실제 자료와의 비교를 통하여 파라미터 평가 방법 및 인공신경 회로망 방법에 근거한 예측방법이 제한된 예측 구간 내에서 만족할 만한 성능을 보임을 확인할 수 있었다.

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전기-기계 결합 하중을 받는 압전 세라믹 다층 작동기의 무요소 해석 (Analysis of Piezoelectric Ceramic Multi-layer Actuators Based on the Electro-mechanical Coupled Meshless Method)

  • 김현철;;김원석;;이정주
    • 한국자동차공학회논문집
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    • 제15권2호
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    • pp.101-108
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    • 2007
  • This paper presents an efficient meshless method for analyzing cracked piezoelectric structures subjected to mechanical and electrical loading. The method employs an element free Galerkin (EFG) formulation and an enriched basic function as well as special shape functions that contain discontinuous derivatives. Based on the moving least squares (MLS) interpolation approach, The EFG method is one of the promising methods for dealing with problems involving progressive crack growth. Since the method is meshless and no element connectivity data are needed, the burdensome remeshing procedure required in the conventional finite element method (FEM) is avoided. The numerical results show that the proposed method yields an accurate near-tip stress field in an infinite piezoelectric plate containing an interior hole. Another example is to study a ceramic multilayer actuator. The proposed model was found to be accurate in the simulation of stress and electric field concentrations due to the abrupt end of an internal electrode.

Thermoelastic static and vibrational behaviors of nanocomposite thick cylinders reinforced with graphene

  • Moradi-Dastjerdi, Rasool;Behdinan, Kamran
    • Steel and Composite Structures
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    • 제31권5호
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    • pp.529-539
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    • 2019
  • Current paper deals with thermoelastic static and free vibrational behaviors of axisymmetric thick cylinders reinforced with functionally graded (FG) randomly oriented graphene subjected to internal pressure and thermal gradient loads. The heat transfer and mechanical analyses of randomly oriented graphene-reinforced nanocomposite (GRNC) cylinders are facilitated by developing a weak form mesh-free method based on moving least squares (MLS) shape functions. Furthermore, in order to estimate the material properties of GRNC with temperature dependent components, a modified Halpin-Tsai model incorporated with two efficiency parameters is utilized. It is assumed that the distributions of graphene nano-sheets are uniform and FG along the radial direction of nanocomposite cylinders. By comparing with the exact result, the accuracy of the developed method is verified. Also, the convergence of the method is successfully confirmed. Then we investigated the effects of graphene distribution and volume fraction as well as thermo-mechanical boundary conditions on the temperature distribution, static response and natural frequency of the considered FG-GRNC thick cylinders. The results disclosed that graphene distribution has significant effects on the temperature and hoop stress distributions of FG-GRNC cylinders. However, the volume fraction of graphene has stronger effect on the natural frequencies of the considered thick cylinders than its distribution.

Simpson Style Caricature based on MLS

  • Lee, Jiye;Byun, Hae Won
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권6호
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    • pp.1449-1462
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    • 2013
  • We present a novel approach to producing facial caricature with Simpson cartoon style based on Moving Least Squares (MLS). We take advantage of employing the caricature stylization rule of caricature artist, Justin. Our method allows Simpson-style cartoon character similar to user's features by using Justin's technique, which is a set of caricature stylization rules. Our method transforms input photo image into Simpson style caricature by using MLS approximation. The unique characteristics of user in the photo can be detected by comparing to the mean face feature and the input face feature extracted by AAM(Active Appearance Model). To exaggerate the detected unique characteristics, we set up the exaggeration rules using Justin's technique. In addition, during the cartooning process, user's hairs and accessories are used to the deformed image to make a close resemblance. Our method preserves the reliable and stylized caricature through the exaggeration rules of the actual caricature artist's techniques. From this study, we can easily create a Simpson-style cartoon caricature to resemble user's features by combining a caricature with existing cartoon researches.

Adaptive Wireless Localization Filter Containing NLOS Error Mitigation Function

  • Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • 제5권1호
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    • pp.1-9
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    • 2016
  • Range-based wireless localization system must measure accurate range between a mobile node (MN) and reference nodes. However, non-line-of-sight (NLOS) error caused by the spatial structures disturbs the localization system obtaining the accurate range measurements. Localization methods using the range measurements including NLOS error yield large localization error. But filter-based localization methods can provide comparatively accurate location solution. Motivated by the accuracy of the filter-based localization method, a filter residual-based NLOS error estimation method is presented in this paper. Range measurement-based residual contains NLOS error. By considering this factor with NLOS error properties, NLOS error is mitigated. Also a process noise covariance matrix tuning method is presented to reduce the time-delay estimation error caused by the single dynamic model-based filter when the speed or moving direction of a MN changes, that is the used dynamic model is not fit the current dynamic of a MN. The presented methods are evaluated by simulation allowing direct comparison between different localization methods. The simulation results show that the presented filter is more accurate than the iterative least squares- and extended Kalman filter-based localization methods.

Thermoelastic dynamic analysis of wavy carbon nanotube reinforced cylinders under thermal loads

  • Moradi-Dastjerdi, Rasool;Payganeh, Gholamhassan
    • Steel and Composite Structures
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    • 제25권3호
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    • pp.315-326
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    • 2017
  • In this work, thermoelastic dynamic behavior of functionally graded carbon nanotube reinforced composite (FG-CNTRC) cylinders subjected to mechanical pressure loads, uniform temperature environment or thermal gradient loads is investigated by a mesh-free method. The material properties and thermal stress wave propagation of the nanocomposite cylinders are derived after solving of the transient thermal equation and obtaining of the time history of temperature field of the cylinders. The nanocomposite cylinders are made of a polymer matrix and wavy single-walled carbon nanotubes (SWCNTs). The volume fraction of carbon nanotubes (CNTs) are assumed variable along the radial direction of the axisymmetric cylinder. Also, material properties of the polymer and CNT are assumed temperature-dependent and mechanical properties of the nanocomposite are estimated by a micro mechanical model in volume fraction form. In the mesh-free analysis, moving least squares shape functions are used to approximate temperature and displacement fields in the weak form of motion equation and transient thermal equation, respectively. Also, transformation method is used to impose their essential boundary conditions. Effects of waviness, volume fraction and distribution pattern of CNT, temperature of environment and direction of thermal gradient loads are investigated on the thermoelastic dynamic behavior of FG-CNTRC cylinders.

연속 측정된 TDOA와 FDOA를 이용한 Gauss-Newton 기법 기반의 신호원 위치추정 방법 (Gauss-Newton Based Emitter Location Method Using Successive TDOA and FDOA Measurements)

  • 김용희;김동규;한진우;송규하;김형남
    • 전자공학회논문지
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    • 제50권7호
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    • pp.76-84
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    • 2013
  • 순시(instantaneous) TDOA (time difference of arrival)와 FDOA (frequency difference of arrival)를 이용한 위치추정 방법은 추가적인 측정값 획득을 통해 정확도 향상을 도모할 수 있으며, 이를 위해서는 동시에 운용되는 수신단의 수를 증가하여야 한다. 하지만 전자전 환경에서 수신단 수의 증가는 아군의 피탐확률(probability of intercept) 상승으로 인한 전력 손실을 야기할 수 있고, 수신단 간의 데이터 링크 및 시각동기화와 같은 과정에 대한 추가적인 고려가 필요하다. 따라서 본 논문에서는 이격된 2개의 이동 수신단만을 운용하여 연속적으로 다수의 TDOA와 FDOA 정보를 측정하고, 이를 이용하여 고정 신호원의 위치를 추정하는 방법을 제안한다. 이 경우 매 측정 순간마다 독립된 수신단 쌍(pair)이 추가되므로 각 수신단 조합은 서로 다른 기준 수신단을 가지게 된다. 그러므로 모든 수신단 쌍이 동일한 기준 수신단을 공유해야하는 QCLS (quadratic correction least squares) 방법을 적용할 수 없다. 이러한 이유로 본 논문에서는 비선형 LS 최적해를 반복계산을 통해 얻어내는 Gauss-Newton 기법을 적용한다. 또한 모의실험을 통해 획득된 TDOA와 FDOA의 수가 증가함에 따른 위치추정 결과의 RMSE (root mean square error)값과 CRLB (Cramer-Rao lower bound)를 비교하고, CEP (circular error probable) 평면을 도시하여 2차원 공간상에서의 기대 추정 성능을 분석한다.

유한요소 모델의 절점 활성화 기법 : Ⅱ. 계산 (Node Activation Technique for Finite Element Model : Ⅱ. Computation)

  • 김도년;김승조;지영범;조진연
    • 한국항공우주학회지
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    • 제31권4호
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    • pp.35-43
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    • 2003
  • 본 논문에서는 새로 제안된 절점 활성화 기법을 실제 구현하기 위한 효율적 계산법을 소개하고 각종 수치실험을 수행한다. 포아송 방정식, 2차원 탄성문제, 3차원 탄성문제에 대하여 다양하게 수행된 수치실험을 통하여 절점활성화 이론의 타당성, 수렴성, 및 효율성을 고찰한다. 수렴성, 패치 테스트 등이 포함된 각종 수치실험 결과로부터 절점활성화 기법을 이용하면 정확도의 큰 손실 없이도 많은 수의 유한요소 절점 중 관심이 있는 일부 절점만을 선택, 활성화시켜 이들만을 미지수로 이용하여 효율적으로 문제를 해석할 수 있음을 입증한다.

DEVELOPMENT OF PORTABLE NEAR INFRARED SYSTEM FOR HUMAN SKIN MOISTURE

  • Woo, Young-Ah;Ahn, Jhii-Weon;Kim, Hyo-Jin
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.3115-3115
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    • 2001
  • In this study, portable near infrared (NIR) system was newly integrated with a photodiode array detector, which has no moving parts and this system has been successfully applied for evaluation of human skin moisture. The good correlation between NIR absorbance and absolute water content of separated hairless mouse skin was, in vitro, showed depending on the water content (7.42-84.94%) using this portable NIR system. Partial least squares (PLS) regression was used for the calibration with the 1100-1650 nm wavelength range. For the practical use for the evaluation of human skin based on moisture, PLS model for human skin moisture was, in vivo, developed using the portable NIR system based on the relative water content values of stratum corneum from the conventional capacitance method. The PLS model showed a good correlation. This study indicated that the portable NIR system could be a powerful tool for human skin moisture, which may be much more stable to environmental conditions such as temperature and humidity, compared to conventional methods. Furthermore, in order to confirm the performance of newly integrated portable NIR system, scanning type conventional NIR spectrometer was used in the same experiments and the results were compared.

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LTE 시스템 채널 추정치의 후처리 기법 연구 (A Study on the Postprocessing of Channel Estimates in LTE System)

  • 유경렬
    • 전기학회논문지
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    • 제60권1호
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    • pp.205-213
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    • 2011
  • The Long Term Evolution (LTE) system is designed to provide a high quality data service for fast moving mobile users. It is based on the Orthogonal Frequency Division Multiplexing (OFDM) and relies its channel estimation on the training samples which are systematically built within the transmitting data. Either a preamble or a lattice type is used for the distribution of training samples and the latter suits better for the multipath fading channel environment whose channel frequency response (CFR) fluctuates rapidly with time. In the lattice-type structure, the estimation of the CFR makes use of the least squares estimate (LSE) for each pilot samples, followed by an interpolation both in time-and in frequency-domain to fill up the channel estimates for subcarriers corresponding to data samples. All interpolation schemes should rely on the pilot estimates only, and thus, their performances are bounded by the quality of pilot estimates. However, the additive noise give rise to high fluctuation on the pilot estimates, especially in a communication environment with low signal-to-noise ratio. These high fluctuations could be monitored in the alternating high values of the first forward differences (FFD) between pilot estimates. In this paper, we analyzed statistically those FFD values and propose a postprocessing algorithm to suppress high fluctuations in the noisy pilot estimates. The proposed method is based on a localized adaptive moving-average filtering. The performance of the proposed technique is verified on a multipath environment suggested on a 3GPP LTE specification. It is shown that the mean-squared error (MSE) between the actual CFR and pilot estimates could be reduced up to 68% from the noisy pilot estimates.