• Title/Summary/Keyword: coupling correlation

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Improvement of the Signal-to-Noise Ratio of Photorefractive Joint Transform Correlator using Characteristics of $BaTiO_3$ ($BaTiO_3$의 특성을 이용한 광굴절 결합 변환 상관기의 신호 대 잡음비 개선)

  • 공명술;서동환;신창목;조규보;김철수;김수중
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.3
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    • pp.19-32
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    • 2003
  • In the conventional photorefractive joint transform correlator(PRJTC), the intensity ration of input signal-to-pump beam should be large enough to saturate two-beam coupling transfer function to obtain a desired correlation result. As a result, the signal-to-noise ratio(SNR) of correlation result is decreased in a noisy input image. In this paper, we propose the improved method for increasing the SNR of the PRJTC by using the characteristics of BaTiO$_3$. We stop the energy transfer saturating by low intensity ratio of input beam and realize a short length of effective interaction in BaTiO$_3$ by making large incident angle of the signal beam. So the gain in high frequency area is decreased and the gain in low frequency area comes up to the saturation gain of the beam coupling transfer function. Therefore the SNR is improved in noisy input image and the PRJTC can be easily realized by low intensity ratio of input beam.

Interlayer and Interfacial Exchange Coupling of IrMn Based MTJ

  • Wrona, J.;Stobiecki, T.;Czapkiewicz, M.;Kanak, J.;Rak, R.;Tsunoda, M.;Takahashi, M.
    • Journal of Magnetics
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    • v.9 no.2
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    • pp.52-59
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    • 2004
  • As deposited and annealed MTJs with the structure of $Ta(5 nm)/Cu(10 nm)/Ta(5 nm)/Ni_{80}Fe_{20}(2 nm)/Cu(5 nm)/ Ir_{25}Mn_{75}(10 nm)/Co_{70}Fe_{30}(2.5 nm)/Al-O/Co_{70}Fe_{30}(2.5nm)/Ni_{80}Fe_{20}(t)/Ta(5nm)/Ni_{80}Fe_{20}(t)/Ta(5 nm)$, where t=10, 30, 60 and 100 nm were characterized by XRD and magnetic hysteresis loops measurements. The XRD measurements were done in grazing incidence $(GID scan-2{\theta})$ and ${\theta}-2{\theta}$ geometry, by rocking curve $(scan-{\omega})$ and pole figures in order to establish correlation between texture and crystallites size and magnetic parameters of exchange biased and interlayer coupling. The variations of shifting and coercivity field of free and pinned layers after annealing in $300^{\circ}C$ correlate with the improvement of [111] texture and grains size of $Ni_{80}Fe_{20}$ and $Ir_{25}Mn_{75}$ respectively. The exchange biased and the coercivity fields of the pinned layer linearly increased with increasing grain size of $Ir_{25}Mn_{75}$, The reciprocal proportionality between interlayer coupling and coercivity fields of the free layer and grain size of $Ni_{80}Fe_{20}$ was found. The enhancement of interlayer coupling between pinned and free layers, after annealing treatment, indicates on the correlated in-phase roughness of dipolar interacting interfaces due to increase of crystallites size of $Ni_{80}Fe_{20}$.

Case study of random vibration analysis of train-bridge systems subjected to wind loads

  • Zhu, Siyu;Li, Yongle;Togbenou, Koffi;Yu, Chuanjin;Xiang, Tianyu
    • Wind and Structures
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    • v.27 no.6
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    • pp.399-416
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    • 2018
  • In order to reveal the independent relationship between track irregularity and wind loads, the stochastic characteristics of train-bridge coupling systems subjected to wind loads were investigated by the multi-sample calculation. The vehicle was selected as 23 degrees of freedom dynamical model, and the bridge was described by three-dimensional finite element model. It was assumed that the wind loads were random processes with strong spatial correlation, while the track irregularities were stationary random ones. As a case study, a high-speed train running on a cable-stayed bridge subjected to wind loads was studied. The effect of rail irregularities was deemed to be independent of the effect of wind excitations on the coupling system in the same wind circumstance for the same project, leading to the conclusion that the effect of wind loads and moving vehicle could be calculated separately. The variance results of the stochastic responses of vehicle-bridge coupling system under the action of wind loads and rail irregularities together were equivalent to the sum of the variance of the responses induced by each excitation. Therefore, when one of the input excitations is different, only the effect of changed loads needs to be assessed. Moreover, the new calculated results were combined with the effect of unchanged loads to present the stochastic response of coupling system subjected to the different excitations, reducing the cost of computations. The stochastic characteristics, the CFD (cumulative distribution function) of the coupling system with different wind velocities, vehicle speed, and vehicle marshalling were studied likewise.

Interfacial Morphology of Glass Fiber/Polypropylene Composite (유리 섬유/폴리프로필렌 복합재료의 계면 형태구조)

  • 남주영;박수현;이광희;김준경
    • Polymer(Korea)
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    • v.27 no.4
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    • pp.299-306
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    • 2003
  • It is well known that the interaction and adhesion between the glass fiber (GF) and polymer matrix has a significant effect in determining the properties of fiber-reinforced materials. Therefore, it is one of important considerations to modify the surface of glass fiber with an appropriate sizing. We investigated the treatment method of glass fiber with coupling agent to improve the interaction of the interfacial region. The correlation between interfacial property and interphase microstructure was also examined in an attempt to realize a proper morphology at the glass fiber surfaces.

Target Window Adjustment Method for feature point tracking in infra-red images (적외선 영상에서 특징점 추적을 이용한 추적창 조절)

  • Kang, Jai-Woong;Sung, Gi-Yeul;Jung, Young-Hun;Kim, Su-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.297-298
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    • 2013
  • 본 논문에서는 IR 영상추적을 위하여 가린 표적의 실제 중심을 예측하는 추적창 조절(target window adjustment) 기법을 제시한다. 대표적 분할 추적(patch tracking) 방식인 특징점 추적(feature point tracking)은 표적의 중심과 특징점을 coupling하여 가린 표적의 실제 중심을 예측할 수 있으나, 형상 정보가 적은 영상에서 표적의 ROI(Region of Interest)는 특징점의 분포만으로는 구할 수 없다. 본 논문에서는 상관추적의 추적창 조절 기법과 특징점 추적의 coupling 기법을 결합하여 표적이 장애물에 가리는 경우에도 안정적인 추적창을 유지한다.

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Interfacial Morphology of Glass Fiber/Polypropylene Composite (유리섬유/폴리프로필렌 복합계의 계면 모폴로지)

  • Park, S.H.;Lee, K.H.;Kim, J.K.;Lim, S.H.;Park, M.;Lee, S.S.;Kwon, S.J.
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2002.10a
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    • pp.249-251
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    • 2002
  • It is well known that the interaction and adhesion between the glass fiber(GF) and polymer matrix has a significant effect in determining the properties of fiber-reinforced materials. Therefore, it is one of most important to modify the surface of GF with an appropriate sizing. We investigated the treatment method of GF with coupling agent to improve the interaction of the interfacial regions, and then the correlation between interfacial property and interphase microstructure was examined in an attempt to realize a proper morphology around the GF surface.

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Comparison analyzation of Calculation Equations for Shear strength of Steel Plate Coupling Beam (철골 플레이트 커플링보의 전단강도에 대한 기준식의 비교.분석)

  • Lee, Kyung-Hwun;Song, Han-Beom;Park, Jin-Young;Yi, Waon-Ho;Tae, Kyung-Hoon
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.04a
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    • pp.129-132
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    • 2008
  • Coupled shear wall system is the primary seismic load resisting system of buildings. The coupling beam of these buildings must exhibit excellent ductility and energy dissipation capacity. To achieve better ductility and energy dissipation, the steel coupling beam embedded in the reinforced concrete walls is proposed. Performance of the steel coupling beam is mainly effected by embedment length. ACI equation and BS equation were examined with 23 previous test results. The statistical study uses the values of mean value, standard deviation, correlation coefficient, normal distribution curve, and error analysis. Through the analytical program, the evaluation of the 2 equations was established.

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Volatility & Correlation Analysis of the East Asian Stock Market - Focusing on Korea·Japan·China·Hong Kong·Taiwan (동아시아 주식시장의 상관관계와 변동성 분석 - 한국·일본·중국·홍콩·대만을 중심으로)

  • Choi, Jeong-Il
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.165-173
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    • 2017
  • The purpose of this study was to analyze the correlation and volatility of Korea and neighboring East Asia stock markets. East Asian stock markets were selected for Japan, China, Hong Kong and Taiwan by economically and geographically close with Korea. If you understand the volatility and the correlation between Korea and the East Asian stock market, it may be helpful in predicting investment. And It may reduce the risk of investing of asset allocation in global portfolio level. For this using the national monthly return data for the last 163 months, I was calculating and comparison the rate and correlation, and regression analysis. Result of the correlation analysis, Korea have shown a low correlation with China. while showing a high correlation with Taiwan and Hong Kong. China has been forming its own market in East Asia and showing a low correlation with other countries exception Hong Kong. Hong Kong has been determined as the highest harmonization within the East Stock Market.

Metaheuristic-hybridized multilayer perceptron in slope stability analysis

  • Ye, Xinyu;Moayedi, Hossein;Khari, Mahdy;Foong, Loke Kok
    • Smart Structures and Systems
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    • v.26 no.3
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    • pp.263-275
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    • 2020
  • This research is dedicated to slope stability analysis using novel intelligent models. By coupling a neural network with spotted hyena optimizer (SHO), salp swarm algorithm (SSA), shuffled frog leaping algorithm (SFLA), and league champion optimization algorithm (LCA) metaheuristic algorithms, four predictive ensembles are built for predicting the factor of safety (FOS) of a single-layer cohesive soil slope. The data used to develop the ensembles are provided from a vast finite element analysis. After creating the proposed models, it was observed that the best population size for the SHO, SSA, SFLA, and LCA is 300, 400, 400, and 200, respectively. Evaluation of the results showed that the combination of metaheuristic and neural approaches offers capable tools for estimating the FOS. However, the SSA (error = 0.3532 and correlation = 0.9937), emerged as the most reliable optimizer, followed by LCA (error = 0.5430 and correlation = 0.9843), SFLA (error = 0.8176 and correlation = 0.9645), and SHO (error = 2.0887 and correlation = 0.8614). Due to the high accuracy of the SSA in properly adjusting the computational parameters of the neural network, the corresponding FOS predictive formula is presented to be used as a fast yet accurate substitution for traditional methods.