Cross-Band Spectrum Prediction Based on Deep Transfer Learning

Spectrum prediction is a promising technology to infer future spectrum state by exploiting inherent patterns of historical spectrum data.In practice,for a given spectrum band of interest,when facing relatively scarce historical data,spectrum prediction based on traditional learning methods does not work well.Thus,this paper proposes a cross-band spectrum prediction model based on transfer learning.Firstly,by analysing service activities and computing the distances between various frequency points based on Dynamic Time Warping,the similarity between spectrum bands has been verified.Next,the features,which mainly affect the performance of transfer learning in the crossband spectrum prediction,are explored by leveraging transfer component analysis.Then,the effectiveness of transfer learning for the cross-band spectrum prediction has been demonstrated.Further,experimental results with real-world spectrum data demonstrate that the performance of the proposed model is better than the state-of-theart models when the historical spectrum data is limited.

Floquet spectrum and universal dynamics of a periodically driven two-atom system

We investigate the Floquet spectrum and excitation properties of a two-ultracold-atom system with periodically driven interaction in a three-dimensional harmonic trap.The interaction between the atoms is changed by varying the s-wave scattering length in two ways,the cosine and the square-wave modulations.It is found that as the driving frequency increases,the Floquet spectrum exhibits two main features for both modulations,the accumulating and the spreading of the quasienergy levels,which further lead to different dynamical behaviors.The accumulation is associated with collective excitations and the persistent growth of the energy,while the spread indicates that the energy is bounded at all times.The initial scattering length,the driving frequency and amplitude can all significantly change the Floquet spectrum as well as the dynamics.However,the corresponding relation between them is valid universally.Finally,we propose a mechanism for selectively exciting the system to one specific state by using the avoided crossing of two quasienergy levels,which could guide preparation of a desired state in experiments.

SINGULAR CROSS SPECTRUM APPLIED ON DIAGNOSTIC ANALYSIS OF AIR-SEA INTERACTION

The Singular Cross Spectrum Analysis (SCSA) method was employed to investigate the coupledperiods of air-sea/mid-low circulation interaction using 1951-1993 500-hpa geopotential heights and the seasurface temperature (SST) in the Northern Hemisphere. Results show that air-sea correlation is noticeable on the3-7 year scale which is similar to ENSO circle. In this sense, ENSO is a Strong signal. Quasi-ten/quasi-four yearperiods are prominent in the mid-low interaction, and quasi-if our year oscillation is uniform with the ENSO circle.Studies indicate that the mid-low interaction possess quasi-ten year oscillation beside being affected by ENSO.

In-Medium Nucleon-Nucleon Cross Section

Within the framework of Brueckner-Hartree-Fock method,the in-medium nucleonnucleon(NN)cross section is calculated.We base our investigation on a separable Paris potential for the NN interaction and a continuous choice for the single particle spectrum.It is found that the in-medium cross section is strongly modified by medium effect.In particular,with increasing of nuclear density,the cross sections decrease.This indicates a proper treatment of the density dependence of the in-medium NN cross sections is important.

Electronic structure and infrared spectrum of a W_n C^(0,±) (n = 1-6) cluster

WnC0＇± （n= 1-6） clusters are investigated by using the density functional theory （DFT） at the B3LYP/LANL2DZ level. We find that the neutral, anionic and cationic ground state structures are similar within the same size, and constituted by substituting a C atom for one W atom in the structures of Wn＋1 clusters. The natural bond orbital （NBO） charge analyses indicate that the direction of electron transfer is from the W atom to the 2p orbital of the C atom. In addition, the calculated infrared spectra of the WnC0＇± （n= 2-6） clusters manifest that the vibrational frequencies of neutral, anionic and cationic clusters are similar in a range of 80 cm-1-864 cm-1. The high frequency, strong peak modes are found to be an almost stretched deformation of the carbide atom. Finally, the polarizabilities of WnC0＇± （n= 1-6） clusters are also discussed.

Frequency Domain Fatigue Evaluation on SCR Girth-Weld Based on Structural Stress

The Steel Catenary Riser(SCR)is a vital component for transporting oil and gas from the seabed to the floating platform.The harsh environmental conditions and complex platform motion make the SCR’s girth-weld prone to fatigue failure.The structural stress fatigue theory and Master S-N curve method provide accurate predictions for the fatigue damage on the welded joints,which demonstrate significant potential and compatibility in multi-axial and random fatigue evaluation.Here,we propose a new frequency fatigue model subjected to welded joints of SCR under multiaxial stress,which fully integrates the mesh-insensitive structural stress and frequency domain random process and transforms the conventional welding fatigue technique of SCR into a spectrum analysis technique utilizing structural stress.Besides,a full-scale FE model of SCR with welds is established to obtain the modal structural stress of the girth weld and the frequency response function(FRF)of modal coordinate,and a biaxial fatigue evaluation about the girth weld of the SCR can be achieved by taking the effects of multi-load correlation and pipe-soil interaction into account.The research results indicate that the frequency-domain fatigue results are aligned with the time-domain results,meeting the fatigue evaluation requirements of the SCR.

Spectrum and Electrochemical Properties of Nanosized Ce_(1-x)Bi_xO_(2-δ) Solid Solutions

Ce1-xBixO2-δ （x = 0.00, 0.03, 0.05, 0.07, 0.10, 0.15, 0.30） solid solutions were synthesized via a hydrothermal method. The structure, spectra and electrochemical transport properties of the samples were characterized systematically. The powder X-ray diffraction analysis showed that all of the doped samples exhibited single phase fluorite structure. The particle sizes decreased from 18 to 9 nm and the lattice parameters increased gradually with the dopant content increasing from x = 0.03 to x = 0.30. The Bi^3＋ doping also induced the F2g Raman peak to shift from 463 to 455 cm^-1, and caused a red shift of the band gap energies calculated from UV-Vis spectra. The impedance plots at different temperature demonstrated that the boundary resistance was much larger than the grain resistance, and two activation energy values were obtained in different temperature range.

基于Back-n白光中子实验装置的SRAM翻转截面测量

本文主要研究静态随机存取存储器(static random-access memory,SRAM)的单粒子效应翻转截面的测量方法。基于宽能谱白光中子束流,采用了一种操作更方便的SRAM翻转截面测量方法。在SRAM前面放置聚乙烯中子慢化材料改变入射到SRAM表面上的中子能谱,利用模拟计算得到改变后的中子能谱。利用奇异值分解法求解翻转率的矩阵方程得到SRAM的翻转截面。结果表明在4~15 MeV的能量范围内,使用反角白光中子源测试的SRAM翻转截面信息和参考文献中使用单能中子源测试拟合的SRAM翻转截面信息基本吻合。

Application of the Double-difference Relocation Method Combined with Waveform Cross-correlation on the Three Gorges Reservoir Seismicity

In this paper,we use the double difference location method based on waveform crosscorrelation algorithm for precise positioning of the Three Gorges Reservoir( TGR)earthquakes and analysis of seismic activity. First,we use the bi-spectrum cross-correlation method to analyze the seismic waveform data of TGR encrypted networks from March,2009 to December,2010,and evaluate the quality of waveform cross-correlation analysis.Combined with the waveform cross-correlation of data obtained, we use the double difference method to relocate the earthquake position. The results show that location precision using bi-spectrum verified waveform cross-correlation data is higher than that by using other types of data,and the mean 2 sig-error in EW,NS and UD are 3.2 m,3.9 m and 6.2 m,respectively. For the relocation of the Three Gorges Reservoir earthquakes,the results show that the micro-earthquakes along the Shenlongxi river in the Badong reservoir area obviously show the characteristics of three linear zones with nearly east-west direction,which is in accordance with the small faults and carbonate strata line of the neotectonic period,revealing the reservoir water main along the underground rivers or caves permeated and induced seismic activity. The stronger earthquakes may have resulted from small earthquakes through the active layers.

基于CCSO-VMD的声发射脱粘信号特征提取

声发射检测方法目前被广泛应用在设备的缺陷检测方面,针对大部分设备产生的声发射信号幅度小,噪声大且特征难以提取的问题,本文提出了一种信号处理方法:基于皮尔逊相关系数-包络熵最小原则的CCSO算法优化VMD中参数的处理方法。该方法在经典的鸡群优化算法之上融入了交叉算法,并通过改进的CCSO算法来精确优化VMD中的关键参数,即模态数K和惩罚因子α。通过采用基于新适应度函数的CCSO-VMD方法,对模拟信号进行分析,信噪比达到了25.8141 dB。这一结果证明,基于新目标函数的CCSO-VMD算法能够显著降低噪声水平,同时最大程度地保留信号中的有效信息。此外,本文提出了一种综合频谱差异指标,CSDI值能有效区分不同状态下的声发射信号。

Suboptimal State Feedback H2/H∞ Controller Design with Spectrum Constraint for Discrete-time Stochastic Systems

With the aid of the spectnnn techique, a new concept named-α-stabilizability （0≤α≤1） is intnxhged and its suffident and necessary canditions are also prvposed. Especially, it is identical with the asymptotically mean square stabilizability when α = 1. As an application, the suboptimal state feedback H2/H∞ controller that satisfies the additional Spectrum canstmint via solving a convex optimization problem is delt with.

Variance Reduction Technique for Estimating Value-at-Risk based on the Cross - Entropy

Value-at-Risk （VaR） estimation via Monte Carlo （MC） simulation is studied here. The variance reduction technique is proposed in order to speed up MC algorithm. The algorithm for estimating the probability of high portfolio losses （more general risk measure） based on the Cross - Entropy importance sampling is developed. This algorithm can easily be applied in any light- or heavy-tailed case without an extra adaptation. Besides, it does not loose in the performance in comparison to other known methods. A numerical study in both cases is performed and the variance reduction rate is compared with other known methods. The problem of VaR estimation using procedures for estimating the probability of high portfolio losses is also discussed.

On The Hardening of The Spectrum of High-Energy Particles Formed in Heavy-Ion Collisions Considered within The Framework of The Hydrodynamic Approach

The emission of high-energy particles in 16O + 197Au collisions at energy 20 MeV / nucleon is considered within the framework of the time evolution of a hot spot taking into account the hydrodynamic compression and expansion stages. In addition, the evaporation of the particles that are formed in the early (hot) stage of the evolution of the hot spot is included in the calculation of the spectrum. This leads to a hardening of the particle spectrum in its high-energy part, which is in agreement with experimental data.

银行信用风险与经济增长的关系及逆周期资本缓冲--基于向量自回归和互谱分析方法的研究

银行业是典型的亲周期性行业,这种亲周期性必然导致宏观经济的波动传导到银行业,引起银行业信用风险水平的变化。我们采用时域和频域相结合的方法研究二者之间的关系,结果表明银行信用风险水平与经济增长的关系在长短期存在非一致性,短期内经济增长速度的加快有利于银行不良贷款率的下降,而中长期内经济增长反而会导致银行信用风险水平的提高,我们认为这是伴随经济增长的信贷过度增长累积的系统性风险的滞后效应。因此,我们建议我国应该启动实施Basel III提出的逆周期资本缓冲政策,一方面可以保证金融机构在经济下行期稳定的信贷供给,另一方面可以防止经济上行期信贷过快增长累积系统性风险,从而减弱银行业的亲周期性。

铝合金A-TIG焊电弧光谱分析

选用SiO2,TiO2,Cr2O3,CaF2,BaCl2共五种单组元活性剂以及由此五种单组元混合而成的YG304复合活性剂进行铝合金交流A-TIG焊工艺试验,并利用光谱仪检测焊接过程中的光谱,分析活性剂元素在电弧光谱中的分布规律.结果表明,五种单组分活性剂对焊缝熔深影响不同,且YG304混合活性剂增加焊缝熔深效果最好;电弧主要以Ar元素和Al元素谱线为主,不同活性剂的光谱频域分布差异显著;认为熔深增加的原因可能在于活性剂中各阳离子Si4+,Ti4+,Cr3+及Ba2+与氩电弧中电子复合,从而增大电弧温度和电弧力并最终增加熔深,并且由于各阳离子物理性能不一样而使增加效果不同.

我国科教投入对经济增长贡献率实证分析:1979-2006

基于互谱分析方法,分别计算了改革开放以来(1979年-2006年)中国国家财政科技投入与教育投入对我国经济增长贡献率。实证分析结果表明:(1)1979-2006年间,中国国家财政科技投入对经济增长的平均贡献率为12.66%;(2)国家财政科技投入在短期内超前于经济增长,对经济增长具有引领作用,而从长期看,国家财政科技投入还落后于经济增长变化;(3)国家财政教育投入对经济增长的长期影响作用更明显,平均贡献率为12.97%;(4)国家财政教育投入在短期超前于经济增长,而从长期看,经济增长变化超前于国家财政科技投入。

基于相位差-频率拟合的宽带信号数字测向方法

提出了一种基于双阵元的宽带信号测向方法,该方法根据两阵元接收信号互谱的相频特性,采用直线拟合的方法可精确获得信号到达两阵元的时延参数,进而估计出信号的到达角。该方法所需阵元数少,不存在测向模湖,运算量小,易于工程实现。仿真实验表明,应用此方法可对宽带信号实时测向且有较高的估计精度。

混合噪声背景下正弦参数估计的互高阶谱SVD方法和SVD-TLS方法

从理论上论述了相关高斯噪声和非相关噪声背景下正弦参数的估计方法。该方法采用互高阶谱的特征分解 (SVD)及最小二乘法 (TLS) ,并且建立了信号矢量空间和噪声空间 ,几乎不需要任何关于有色噪声的先验信息 ,就可以估计出正弦信号的幅值、频率和相位。该方法信噪比工作门限低 。

基于改进的LMS-CSP算法管道泄漏点定位方法研究

针对变步长最小均方(LMS)自适应滤波算法的步长因子在算法收敛程度加深时快速变小的问题,提出在步长因子迭代过程中引入历史误差平方的遗忘加权和补偿项,并加入滑动窗,提高算法的收敛速度,同时减小了稳态失调。利用互功率谱相位(CSP)方法对信号进行时延估计,采用对互功率谱函数进行多帧加权平滑的方式来提高算法的抗噪能力。实验仿真结果表明,改进后的算法在信噪比较低的条件下,也能获取到有效的时延估计,证明新方法具有很好的鲁棒性,是有效的。

β-环糊精交联聚合物的合成及红外光谱研究

以环氧氯丙烷作为交联剂合成了β-环糊精的交联聚合物 ,并对产物进行了热分析及红外光谱测定。