Local density of optical states calculated by the mode spectrum in stratified media

The local density of optical states(LDOS)is an important physical concept,which can characterize the spontaneous emission of microcavities.In order to calculate the LDOS,the relationship between the mode spectrum and the LDOS is established.Then,based on the transfer matrix method and the effective resonator model,the leaky loss of the leaky mode and the mode spectrum in the one-dimensional photonic bandgap crystal waveguide are calculated,results of which indicate that the mode spectrum can characterize the leaky loss of the leaky mode.At last,the density of optical states(DOS),and the LDOS in each layer are calculated.The partial DOS and the partial LDOS in the quantum well,related to the fundamental leaky mode,can be used to find out the optimal location of the quantum well in the defect layer to couple more useful photons into the lasing mode for lasers.

Discrete Spectra and Continuous Spectrum of the BarotropicQuasi-Geostrophic Model-A Calculation ofMeteorological Data

Atmospheric disturbances at 300 hPa are decomposed into normal modes, referred as discrete—spectrum disturbances which can propagate freely in the observed zonal mean flow, and non—modal transient disturbances, referred as continuous—spectrum disturbances which are continuously sheared and eventually absorbed by the zonal flow. It is shown that normal modes represent only a small fraction of the observed atmospheric disturbances, while continuous—spectrum disturbances represent the majority of observed disturbances, even when the basic flow is unstable. Daily variabilities of the observed continuous—spectrum disturbances are presented. They are shown to follow the results of wave—packet theory. Calculations suggest that there are abundant sources to excite continuous—spectrum disturbances in the atmosphere.

Hilbert spectrum and intrinsic oscillation mode of dynamic response of a bilinear SDOF system: influence of harmonic excitation amplitude

Under harmonic wave excitation, the dynamic response of a bilinear SDOF system can be expressed by the Hilbert spectrum. The Hilbert spectrum can be formulated by (1) the inter-wave combination mechanism between the steady response and the transient response when the system behaves linearly, or (2) the intra-wave modulation mechanism embedded in one intrinsic mode function (IMF) component when the system behaves nonlinearly. The temporal variation of the instantaneous frequency of the IMF component is consistent with the system nonlinear behavior of yielding and unloading. As a thorough study of this fundamental structural dynamics problem, this article investigates the influence of the amplitude of the harmonic wave excitation on the Hilbert spectrum and the intrinsic oscillatory mode of the dynamic response of a bilinear SDOF system.

西方体制Mark XIIA的Mode5数据格式分析

Mark XIIA是北约盟军统一研制的新型敌我识别系统,该系统的核心是Mode 5敌我识别。该文概述了Mark XIIA敌我识别系统的发展和系统组成,总结了Mode 5的4级工作模式,表明Mode 5不仅能完成基本的敌我识别功能,并具有态势感知、数据传输等功能;其次从安全性、数据容量、系统可靠性3个方面详细分析了Mode 5 Level 1和Level 2的数据格式特征,指出了Mode 5 Level 1和Level 2询问应答数据中的加解密数据段;最后,总结了Mode 5 IFF系统的特点。

Complete eigenmode analysis of a ladder-type multiple-gap resonant cavity

A theoretical model is developed for calculating the eigenmodes of the multi-gap resonant cavity. The structure of concern is a kind of ladder-type circuit, offering the advantages of easy fabrication, high characteristic impedance （R/Q）, and thermal capacity in the millimeter wave to THz regime. The eigenfunction expansion method is used to establish the field expressions for the gaps and the coupling region. Then, the match conditions at the interface are employed, which leads to a group of complicate boundary equations in the form of an infinite series. To facilitate the mathematical treatments and perform a highly efficient calculation, these boundary equations are transformed into the algebraic forms through the matrix representations. Finally, the concise dispersion equation is obtained. The roots of the dispersion equation include both the axial modes in the gaps, which include the fundamental and the high-order modes, and the cavity modes in the coupling region. Extensive numerical results are presented and the behaviors of the multi-gap resonant cavity are examined.

FAULT DIAGNOSIS APPROACH FOR ROLLER BEARINGS BASED ON EMPIRICAL MODE DECOMPOSITION METHOD AND HILBERT TRANSFORM

Based upon empirical mode decomposition (EMD) method and Hilbert spectrum, a method for fault diagnosis of roller bearing is proposed. The orthogonal wavelet bases are used to translate vibration signals of a roller bearing into time-scale representation, then, an envelope signal can be obtained by envelope spectrum analysis of wavelet coefficients of high scales. By applying EMD method and Hilbert transform to the envelope signal, we can get the local Hilbert marginal spectrum from which the faults in a roller bearing can be diagnosed and fault patterns can be identified. Practical vibration signals measured from roller bearings with out-race faults or inner-race faults are analyzed by the proposed method. The results show that the proposed method is superior to the traditional envelope spectrum method in extracting the fault characteristics of roller bearings.

基于K-modes的安全算法抵御SSDF攻击

为保障频谱感知安全,针对协作频谱感知中频谱感知数据篡改攻击,在集中式认知无线电网络中提出了一种基于K-modes的安全算法抵御此类攻击。利用K-modes算法对在融合中心收集到的次用户感知报告进行分类,在识别并剔除攻击者后,最后通过低复杂度的传统投票规则获得更高的网络感知性能。通过Python仿真,分析该算法在不同条件下对攻击者的识别性能,并验证该算法比传统防御算法的检测概率提高了约37%。

Dynamic failure mode and energy-based identification method for a counter-bedding rock slope with weak intercalated layers

The dynamic failure mode and energybased identification method for a counter-bedding rock slope with weak intercalated layers are discussed in this paper using large scale shaking table test and the Hilbert-Huang Transform(HHT) marginal spectrum.The results show that variations in the peak values of marginal spectra can clearly indicate the process of dynamic damage development inside the model slope.The identification results of marginal spectra closely coincide with the monitoring results of slope face displacement in the test.When subjected to the earthquake excitation with 0.1 g and 0.2 g amplitudes,no seismic damage is observed in the model slope,while the peak values of marginal spectra increase linearly with increasing slope height.In the case of 0.3 g seismic excitation,dynamic damage occurs near the slope crest and some rock blocks fall off the slope crest.When the seismic excitation reaches 0.4 g,the dynamic damage inside the model slope extends to the part with relative height of 0.295-0.6,and minor horizontal cracks occur in the middle part of the model slope.When the seismic excitation reaches 0.6 g,the damage further extends to the slope toe,and the damage inside the model slope extends to the part with relative height below 0.295,and the upper part(near the relative height of 0.8) slides outwards.Longitudinal fissures appear in the slope face,which connect with horizontal cracks,the weak intercalated layers at middle slope height are extruded out and the slope crest breaks up.The marginal spectrum identification results demonstrate that the dynamic damage near the slope face is minor as compared with that inside the model slope.The dynamic failure mode of counter-bedding rock slope with weak intercalated layers is extrusion and sliding at the middle rock strata.The research results of this paper are meaningful for the further understanding of the dynamic failure mode of counter-bedding rock slope with weak intercalated layers.

A Study of the Equipment Fault Diagnosing Method Based on EMD and Holo-spectrum

We first introduce the empirical mode decomposition （EMD） and holo-spectrum analysis. Then we decompose the vibration signal of the equipment by EMD, re-organize the signal closely associated with the original signal, eliminate the noise signal better, and analyze the holographic re-signal spectrum, which makes the amplitude, frequency and phase combinecompletely, reflecting the equipment vibration morphology fully. Particularly applying a two-dimensional holo-spectrum can obtain the direction of rotation order harmonic, size, shape, and the relation- . ship between order harmonic generation rotor vibrations, and so on. The traditional signal processing methods can not eliminate noise well. We apply this method to the rotor vibration signal of fault diagnosis, eliminate noise and reflect the equipment vibration characteristics well.

Topological phase boundary in a generalized Kitaev model

We study the effects of the next-nearest-neighbor hopping and nearest-neighbor interactions on topological phases in a one-dimensional generalized Kitaev model. In the noninteracting case, we define a topological number and calculate exactly the phase diagram of the system. With addition of the next-nearest-neighbor hopping, the change of phase boundary between the topological and trivial regions can be described by an effective shift of the chemical potential. In the interacting case, we obtain the entanglement spectrum, the degeneracies of which correspond to the topological edge modes, by using the infinite time-evolving block decimation method. The results show that the interactions change the phase boundary as adding an effective chemical potential which can be explained by the change of the average number of particles.

Study on Cavity Modes for D(H) Ion Cycloton Range Frequency Heating Scenarios in EAST

For low single-pass absorption of ion cyclotron range frequency （ICRF） wave in the EAST plasma cavity modes are expected to be excited between the low field side （LFS） antenna and the hybrid cut-off layer. The toroidal spectrum for D（H） minority heating scenarios in EAST is modeled by using FELICE （finite elements ion cyclotron emulator）, a full wave code based on plane-stratified geometry. The excitation of cavity modes is studied. The methods for suppressing cavity modes are also discussed, to increase the efficiency of minority ion heating.

Raman spectrum study of δ-doped GaAs/AlAs multiple-quantum wells

Three samples of GaAs/A1As multiple-quantum wells with different quantum well widths and tS-doped with Be ac- ceptors at the well center were grown on （100） GaAs substrates by molecular beam epitaxy. Polarized Raman spectra were recorded on the three samples at temperatures in a range of 4-50 K in a backscattering configuration. The two branches of coupled modes due to the interaction of the hole intersubband transitions and the quantum-well longitudinal optical （LO） phonon were observed clearly. The evaluation formalism of the Green function was employed and each lineshape of the Raman spectrum of the coupled modes was simulated. The dependence of the peak position of Raman shifts of the two coupled modes as well as the quantum-well LO phonon on the quantum-well size and measured temperature were given, and the coupling interaction mechanism between the hole subband transitions and the quantum-well LO phonon was researched.

大型空泡水洞试验设施结构有限元分析

大型空泡水洞试验设施是目前中国规模最大的水洞系统,为评估其整体结构强度和抗震设计安全性,对空泡水洞结构进行三维有限元数值分析,考虑正常工作工况和地震载荷作用极限工况下的结构刚强度,基于振型分解反应谱法计算了地震惯性加速度载荷,并对结构地震位移响应进行校核。结果表明:空泡水洞的结构变形在正常工作工况主要表现为水洞内壁的膨胀变形,在极限工况下主要表现为由地震载荷引起的水洞顶部水平位移;空泡水洞高应力区域主要位于结构角隅处的筒壁和加强筋。这对中国自主研发大型空泡水洞具有重要的借鉴意义。

基于VMD的MAG焊输入端电信号频域分析

通过电信号采集平台,对焊机输入输出端电信号进行同步采集.分析弧焊电源整流电路,对输入电信号进行整流处理得到输入电压与电流,最终计算得到弧焊电源的输入功率.经过对比发现输出电流与瞬时输入功率峰值变化趋势基本一致.论述了变分模态分解(VMD)原理及方法,并对瞬时输入功率进行分解,得到一系列特征BLIMFs信号.通过对不同过渡模式(大滴过渡、短路过渡和混合过渡)下瞬时输入功率信号、特征IMF信号和焊接输出电流信号在频域上的对比分析,发现VMD能够有效得到低频(IMF1)、中频(IMF2)和高频信号(IMF3),且中频和高频信号表现出了焊机不控整流的脉动信息(300 Hz)以及电网的干扰.而低频IMF1信号与焊接输出电流信号频域一致性良好,并在时域上也有良好的一致性.结果表明了通过对输入瞬时功率的VMD,其低频分量能够有效表征焊接过程,从而为从输入端评定过渡过程稳定性提供了一种新思路.

多跨连续梁自由振动的动态有限元分析

利用Timoshenko梁振动微分方程的奇次解,建立了单元任意截面的变形、内力与节点位移的关系,取端点截面的内力得到动态有限元列式。动态有限元具有不依赖网格密度、可准确计算任意阶次的振动频率和振型等特点。利用动态有限元刚度矩阵行列式为0条件,推导出1~4跨等截面等跨径的多跨连续梁频率方程。分析了多跨连续梁的自由振动,结果表明:相应简支梁的频率为多跨连续梁的固有频率、振型经扩展后为多跨连续梁的振型;多跨连续梁的振动有第二频谱现象和梁高振动特征。

基于变分模态分解和深度多核极限学习机的轴承故障分类

针对轴承故障分类任务中核极限学习机(kernel extreme learning machine,KELM)超参数选择困难、模型运算速度慢的问题,提出一种基于深度混合核极限学习机(deep hybrid kernel extreme learning machine,DHKELM)的轴承故障分类方法,利用天鹰优化算法(aquila optimization algorithm,AO)实现该模型超参数的优化选择。首先,以峰度指数作为鲸鱼优化算法(whale optimization algorithm,WOA)的适应度函数,对变分模态分解(variational mode decomposition,VMD)的相关参数寻优,利用最优参数组合进行VMD分解,得到k个模态分量并求其希尔伯特-黄变换(Hilbert-Huang Transform,HHT)边际谱作为特征数据,将其作为天鹰优化DHKELM分类器的输入,对不同状态的轴承故障进行识别。实验结果表明,KELM,DHKELM,天鹰优化DHKELM三种分类模型故障识别准确率分别为94%,96.67%,98.34%,运算时间分别为0.0631,0.0360,0.0175 s,证明AO-DHKELM识别准确率和运算速度均具有明显优势。

“职业带”理论下高职人才培养模式研究——以机电一体化专业为例

在职业本科背景下,基于“职业带”理论,重庆地区高职专科机电一体化专业人才培养应结合成渝地区双城经济圈建设方向,定位现代自动化生产线和半导体智能装备的安装、调试、改造升级,以及运维等工作岗位,构建课程体系;坚定立德树人、德技并修的目标,结合服务行业和企业,校企共建,优化课程内容;以学生为中心,健全科学的评价标准,形成完整的鉴定体系,培养企业需要的人才,促进经济高质量发展,引领职业教育高素质发展。

Spectrum Sensing and AM-FM Decomposition through Synchrosqueezing

In this paper we have accomplished one of the tasks of cognitive radio i.e. dynamic spectrum sensing by using wavelet based Synchrosqueezing transform [1], a novel technique, which was proposed to analyze a signal in time-frequency plane. The distinctive feature of this transform compared to other techniques is that it enables us to decompose amplitude and frequency modulated signals and allows individual reconstruction of these components. The objective is also to separate the occupied band into amplitude modulated and frequency modulated bands.

基于混沌PWM与无损吸收的开关电源EMI抑制研究

为了抑制常见BOOST PFC变换器的共模传导噪声,提出一种基于混沌扩频与无损吸收的BOOST PFC变换器共模传导EMI抑制方法。通过分析变换器传导EMI路径,建立共模干扰等效电路,阐明无损吸收抑制高频EMI的机理。在此基础上引入扩频技术,分析定频、周期以及混沌扩频PWM的频谱分布,论述混沌扩频技术运用于开关变换器抑制EMI的优异性。仿真与实验结果表明,相比定频PWM共模传导EMI频谱,无损吸收混沌PWM在100 kHz~1 MHz、1~30 MHz内分别有5~20 dBμV、12~22 dBμV的改善。该方法无需辅助开关管,通过吸收电路谐振实现开关管的零电压关断,针对无损吸收无法抑制中低频噪声的缺点,利用混沌扩频实现变换器共模噪声的进一步抑制。测试结果表明引进混沌PWM之后变换器输出纹波与效率波动范围都在1%以内。

基于改进奇异谱分析的毫米波生物雷达干扰抑制方法

针对毫米波雷达间的互扰会造成生物雷达获取的微弱生命体征信号被淹没,导致无法准确测量呼吸心跳的问题,本文提出基于改进奇异谱分析的方法抑制雷达间互扰,通过相关性计算从受扰信号中选取目标差拍信号重构以抑制干扰和消除背景噪声。进一步提出基于信息熵的集合经验模态分解方法消除差拍信号残留的相位噪声,通过信息熵计算从集合经验模态分解后的固有模态函数分量中选择呼吸和心跳信号以抑制残留噪声。实验结果表明,所提出的方法能有效地从受干扰的信号中恢复呼吸和心跳信号,提高呼吸和心跳的信噪比。因此,本文所提方法提高了生物雷达的抗干扰能力,增强了生物雷达的实用性。