• Title/Summary/Keyword: cross spectrum

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Interpretating the Spectral Characteristics of Measured Particle Concentrations in Busan (부산지역 대기측정망 자료에 나타난 미세먼지 농도의 시계열 해석)

  • Son, Hye-Young;Kim, Cheol-Hee
    • Journal of Korean Society for Atmospheric Environment
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    • v.25 no.2
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    • pp.133-140
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    • 2009
  • In order to examine the effects of micrometeorological and climatological influences on urban scale particulate air pollutants observed in Busan, power spectrum analysis was applied to the observed particulate matter with aerodynamic diameter ${\le}10{\mu}m$ ($PM_{10}$) for the period from 1991 to 2006. Power spectrum analysis has been employed to the daily mean $PM_{10}$ concentrations obtained at 13 sites to identify different scales of periodicities of $PM_{10}$ concentrations. The results show that, aside from the typical and well-known periodicities such as diurnal and annual variations caused by anthropogenic emission influences, another two significant peaks of power spectrum density were identified: 21 day and $3{\sim}4$ year of periodicities. Cospectrum analysis indicates that the intraseasonal 21 day periodicity are found to be negatively correlated with wind speed and surface pressure but shows consistently positive with relative humidity and temperature. This result implied that 21 day periodicity is presumably relevant to the secondary aerosol formation processes through the photochemical reaction that can be subsequently resulted from hygroscopic characteristics of aerosol formation. However, the interannual $3{\sim}4$ year of periodicity is found to have positive correlation with pressure, and negative with temperature and relative humidity, which is rather consistent with both characteristics of air mass during the Asian dust event and the occurrence frequency of Asian dust whose periodicities have been recorded inter-annually over the Korean peninsula.

Generalized Likelihood Ratio Test For Cyclostationary Multi-Antenna Spectrum Sensing

  • Zhong, Guohui;Guo, Jiaming;Qu, Daiming;Jiang, Tao;Sun, Jingchao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.8
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    • pp.2763-2782
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    • 2014
  • In this paper, a generalized likelihood ratio test (GLRT) is proposed for cyclostationary multi-antenna spectrum sensing in cognitive radio systems, which takes into account the cyclic autocorrelations obtained from all the receiver antennas and the cyclic cross-correlations obtained from all pairs of receiver antennas. The proposed GLRT employs a different hypotheses problem formulation and a different asymptotic covariance estimation method, which are proved to be more suitable for multi-antenna systems than those employed by the $Dandawat{\acute{e}}$-Giannakis algorithm. Moreover, we derive the asymptotic distributions of the proposed test statistics, and prove the constant false alarm rate property of the proposed algorithm. Extensive simulations are conducted, showing that the proposed GLRT can achieve better detection performance than the $Dandawat{\acute{e}}$-Giannakis algorithm and its extension for multi-antenna cases.

A STUDY ON THE TIME-VARYING POWER SPECTRUM ESTIMATION ALGORITHM USING TIME-FREQUENCY REPRESENTATION (시주파수 표현에 의한 시변파워스펙트럼 추정 알고리즘에 관한 연구)

  • Lee, Jeong-Whan;Lee, Joon-Young;Lee, Dong-Joon;Kim, Han-Soo;Jeon, Woo-Chul;Lee, Myoung-Ho
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.991-993
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    • 1999
  • This study proposed a new algorithm to assess autonomic function activity using Time-Frequency Representation(TFR). TFR is a way of describing the time-valiant energy of a signal. A discrete Wigner representation that is capable of filtering out any cross terms occuring in the Wigner-Ville Distribution(WVD) is used for time-variant energy distribution of heart rate variability(HRV) signals. And the marginal condition are evaluated to estimate power spectrum of HRV signals. The proposed algorithm showed that estimated power spectrum of HRV signals well describe the autonomic nerve system function and also showed the dynamics of autonomic nervous system response.

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Life Transition Process Effects on Depressive Symptoms in Parents of Children with Autism Spectrum Disorder

  • Hong, Sun Woo;Kim, JinShil;Lee, Ae Ran;Choi, Jeong Sil
    • Child Health Nursing Research
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    • v.24 no.3
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    • pp.337-344
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    • 2018
  • Purpose: The purpose of this study is to examine the association between each phase of the Life Transition Process (LTP) and depressive symptoms among parents of children with Autism Spectrum Disorder (ASD). Methods: Using a cross-sectional study design, data pertaining to LTP and depressive symptoms were collected from 285 parents of children with ASD (101 fathers and 184 mothers). Participants were recruited through the Autism Society of Korea and a counseling center for families of children with ASD. Results: Using a cut-off point of 5 or higher on the Beck Depression Inventory-Short Form, more than half of the parents (53.4%) were deemed depressed; these parents experienced moderate (27.4%) to severe (11.6%) levels of depressive symptoms. A hierarchical multiple regression using the socio-demographic characteristics of children and parents and each phase of the LTP as predictors, found that lower income (${\beta}=-.14$, p=.007) and greater scores for the wandering phase (${\beta}=.59$, p<.001) were significant predictors of greater levels of depressive symptoms. Conclusion: These findings confirm the association between LTP and depressive symptoms for parents of children with ASD, who were found to have a greater risk of depressive symptoms during wandering phase.

Surface-Enhanced Raman Scattering and DFT Study of 4,4'-Biphenyldithiol on Silver Surface

  • Lee, Yu Ran;Kim, Myung Soo;Kwon, Chan Ho
    • Bulletin of the Korean Chemical Society
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    • v.34 no.2
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    • pp.470-474
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    • 2013
  • Surfaced-enhanced Raman scattering (SERS) of 4,4'-biphenyldithiol (BPDT) has been investigated at a silver island film. Ordinary Raman (OR) spectra of neat sample in solid state and in basic solution have also been taken for comparison. The spectral feature in the SERS spectrum was similar to that for the OR spectrum in basic solution, except for the broadening of ring stretching bands indicative of the presence of surface-phenyl ring $\pi$ interaction. In contrast, only absence of the C-H stretching band with very small Raman scattering cross-section seemed not pertinent in judging the definitive orientation of molecule. The observed vibrational bands in the SERS spectrum have been assigned by referring to the normal modes and wavenumbers from density functional theory (DFT) calculations of the simple model as 4,4'-biphenyldithiolates bound to two Ag atoms at the both ends. Excellent agreement between the experimental and the calculated results was achieved, which is remarkable considering the level of theory applied.

Convolutional Neural Network Based Multi-feature Fusion for Non-rigid 3D Model Retrieval

  • Zeng, Hui;Liu, Yanrong;Li, Siqi;Che, JianYong;Wang, Xiuqing
    • Journal of Information Processing Systems
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    • v.14 no.1
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    • pp.176-190
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    • 2018
  • This paper presents a novel convolutional neural network based multi-feature fusion learning method for non-rigid 3D model retrieval, which can investigate the useful discriminative information of the heat kernel signature (HKS) descriptor and the wave kernel signature (WKS) descriptor. At first, we compute the 2D shape distributions of the two kinds of descriptors to represent the 3D model and use them as the input to the networks. Then we construct two convolutional neural networks for the HKS distribution and the WKS distribution separately, and use the multi-feature fusion layer to connect them. The fusion layer not only can exploit more discriminative characteristics of the two descriptors, but also can complement the correlated information between the two kinds of descriptors. Furthermore, to further improve the performance of the description ability, the cross-connected layer is built to combine the low-level features with high-level features. Extensive experiments have validated the effectiveness of the designed multi-feature fusion learning method.

A Study on the Riser Fatigue Analysis Using a Quarter-modal Spectrum (사봉형 스펙트럼을 이용한 라이저 피로해석 연구)

  • Kim, Sang Woo;Lee, Seung Jae;Choi, Sol Mi
    • Journal of the Society of Naval Architects of Korea
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    • v.53 no.6
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    • pp.514-520
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    • 2016
  • Oil and gas production riser systems need to be designed considering a wide band quarter-modal analysis which contains low-, wave-, VIV(Vortex induced vibration) frequencies. The VIV can be separated into cross-flow(CF) and in-line(IL) components. In this study, the various idealized tri- and quarter-modal spectra are suggested to analyze fatigue damage on the production riser system. In order to evaluate the fatigue damage increment caused by the IL's motion, tri- and quarter-modal spectral fatigue damages are calculated in time domain. And the fatigue damage calculated from two different modal spectra are compared quantitatively. Then the suitability of existent wide band fatigue damage models for quarter modal spectrum was evaluated by comparison of frequency domain calculation and time domain calculation. The result show that although spectral density of IL motion is not remarkable in quantity, the effect on the fatigue damage is significant and existent fatigue damage models are not adequately estimating damage by quarter-modal spectra.

Studies on Structure and Color of the White Antheraea pernyi, Silkworm Cocoon

  • Tao, Ji;Hongde, Liu
    • Natural Product Sciences
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    • v.1 no.1
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    • pp.66-69
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    • 1995
  • Traditional Antheraea pernyi silkworm cocoon is tawny color. The white Antheraea pernyi silkworm cocoons studied here by IR and UV are new breeds of recent breeding. We discovered that the main body of the first grade structure of silk protein in the new white is as same as the one in the traditional tawny Antheraea pernyi silkworm cocoon, yet there are small quantities of cross-linked polymer of gentisic acid and silk protein in the white silkworm cocoons. In spite of the least surviving quantity of the polymer, the white silkworm cocoons are most white and its white color is similar to white Bombyx mori silkworm cocoon.

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Structural Dynamic System Reconstruction (구조물 동적시스템 재현기법)

  • Kim, Hyeung-Yun
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.4
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    • pp.308-312
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    • 2002
  • To determine the natural frequencies and damping ratios of composite laminated plates, we present an officient modal parameter estimation technique by developing residual spectrum based structural system reconstruction. The modal parameters can be estimated from poles and residues of the system transfer functions, derived from the state space system matrices. From vibration tests on cross-ply and angle-ply composite laminates, the natural frequencies and damping ratios can be estimated using the modal coordinates of the structural dynamic system reconstructed from the experimental frequency response functions. These results are compared with those of finite element analysis and single-degree-of-freedom curve fitting.

Properties of Current due to Voltage in Heat Conductive Silicone Rubber (열전도성 실리콘 고무의 전압-전류 특성)

  • Lee, Sung-Ill
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.27 no.9
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    • pp.576-581
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    • 2014
  • This study used the heat conductive silicone rubber sample of 0.95 mm thickness to research the properties of current by changing voltage. When the 1, 10, 30, 60, and 90 minute have passed, the running current has been measured through the applied voltage range of 200 V~800 V on setting temperature of $110^{\circ}C{\sim}170^{\circ}C$. As the temperature increased in applied voltage of 800 V, so did the current value according to time in proportion to the increasing temperature. In an analysis of FT-IR (fourier transform infrared) spectrum, the hydroxyl radicals group(O-H) was created by effects of the hydrogen that methyl group is eliminated by addition of the cross-linking agent peroxide.