An integrated method based on energy concentration for evaluating normally distributed spectra in the visible region

This work proposes a method to scientifically quantify the quality of normally distributed visible spectra from the viewpoint of energy concentration: high transmittance, narrow spectral width, and small deviation from the target wavelength in the target region. In the proposed method, the spectral width of the spectrum is compared with that of a reference spectrum before its deviation from the target wavelength is examined. After extracting the maximum transmittance, a performance index of the spectrum is obtained in a percentile value. The effectiveness of the proposed method was analytically proven by surface plasmon resonance-generated spectra with five design features and five variations in each feature. The results indicated that the proposed method not only substantially reflected the predictions made by intuitive visual inspections, but also avoided misleading and ambiguous results evaluated by existing full-width-at-half-maximum (FWHM) method, figure-of-merit (FOM) method, and coordinates on the chromaticity diagram. In addition to the numerical analysis, the experimentally obtained spectra of phosphors in white light emitting diodes were also evaluated. The results proved that the proposed method can successfully highlight the scaled performance difference among the spectra, which is not supported by existing FWHM and FOM methods by simultaneously considering the aforementioned three characteristics of a spectrum.     

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

As one of the representative unsupervised data augmentation methods, generative adversarial networks (GANs) have the potential to solve the problem of insufficient samples in fault diagnosis of rotating machinery. However, the existing unsupervised GANs are usually incapable of simultaneously generating multi-mode fault samples and have some shortcomings such as mode collapse and gradient vanishing. To overcome these deficiencies, a supervised model called modified auxiliary classifier GAN (MACGAN) designed with new framework is proposed in this paper. Firstly, a new ACGAN framework is developed by adding an independent classifier to improve the compatibility between the classification and discrimination. Secondly, the Wasserstein distance is introduced in the new loss functions to overcome mode collapse and gradient vanishing. Finally, to achieve stable training, a spectral normalization is used to replace the weight clipping to constrain the weight parameters of discriminator. The proposed method is applied to fault diagnosis of bearing and gear. Compared with the existing GANs, the proposed method can more efficiently generate multi-mode fault samples with higher qualities, which can be used to assist the training of deep learning-based fault diagnosis models with high accuracy and good stability.     

轧机传动系统关键零部件疲劳仿真方法研究

轧机传动系统的是轧机的重要组件,其强度直接影响到轧机的正常运行。针对轧机传动系统疲劳损伤问题,分析了载荷谱构成,认为载荷来源主要是轧制冲击载荷与扭振载荷;讨论了轧机多工况处理方法,提出了一种基于多体动力学仿真提取载荷放大系数(TAF),利用Matlab软件编制扭振载荷谱及仿真疲劳载荷谱的一般流程;以某钢铁集团现役轧机为例,基于Fatigue Porcess进行疲劳仿真分析,结果证明了该方法的可行性,为轧机传动系统关键零部件或相似机械产品的疲劳损伤位置和疲劳寿命的预测提供了参考。     

刑侦日盲紫外折衍混合变焦光学系统设计

为了满足刑侦过程中紫外光学系统远距离搜索、近距离拍照的需求,采用二元衍射元件和非球面元件,设计了一种日盲紫外机械补偿变焦光学系统,其中焦距为40mm~80mm,F数为4,工作波段为0.24μm~ 0.28μm。选用S8844-0909型2.54cm紫外CCD,像元尺寸为24μm×24μm,对应视场角为6°~12°。系统由7块透镜组成,结构简单、体积小巧。结果表明,在整个变焦范围内,后截距10mm处,截止空间频率21cycles/mm时,各视场的光学调制传递函数均在0.7以上,接近衍射受限曲线,畸变小于5%,像质优良,像面稳定。该设计能满足光学系统的总体设计要求。     

基于动态频谱接入的载波聚合技术研究与实现

以LTE-Advanced系统为研究背景,提出了一种基于动态频谱接入技术的载波聚合方案(DSA-CA)。该方案的主要思想是使支持载波聚合技术的eNB根据小区的平均负载自适应地调节聚合的载波数量,从而达到合理利用频谱的目的。通过对基于动态频谱接入技术的载波聚合方案在LTE-Advanced 系统中的性能进行仿真研究,结果表明:DSA-CA方案与传统载波聚合方案(CA)相比,可使系统性能在一定程度上得到提高,尤其当一个小区处于高负载、另一个小区处于低负载时,DSA-CA方案的优势更加明显,此时高负载小区系统吞吐量得到明显提高,低负载小区的频谱效率也显著上升。     

基于双线性内插算法的多路视频的缩放设计

基于双线性内插算法,设计改进了一种以FPGA为硬件平台的多路视频信号的图像缩放装置.把与期望位置相邻的两行像素缓存在RAM中,先对垂直方向进行插值运算,再对水平方向进行插值运算.利用FPGA并行处理的优势实现多路视频信号的实时缩放.     

基于时频分析的高频地波雷达目标检测算法

为提高海事监测中高频地波雷达(High Frequency Surface Wave Radar,HFS-WR)对运动目标的检测准确率,提出了一种基于频谱细化和小波尺度谱重排时频分析的运动目标检测算法.对HFSWR的接收信号进行频率细化处理以提高后续时频分析的频率分辨率;然后,进行基于Morlet小波的时频分析以提取目标的时频分布特征,为提高时频分布的集中性和抑制交叉项干扰,对小波尺度谱进行重排;根据得到的时频分布特征实现可疑目标区的精确检测.实验结果表明:该算法能有效检测多普勒频率相差很小的运动目标以及海杂波附近的运动目标,可用于对常规目标检测算法无法判定的可疑目标区域进行精细、准确的目标检测与分析.     

基于红外连续变焦的坦克装甲车辆夜视系统设计

为了提高坦克装甲车的夜间作战能力,针对坦克装甲车辆作战范围,设计了一种红外连续变焦夜视系统,该系统可以进行昼夜连续完全被动的监控,能够在全黑夜晚和恶劣天气条件下使用,使车长在夜晚同样可以完成观察战场、搜索目标、指示目标和实施超越射击的任务.此红外连续变焦系统可实现焦距在50～200 mm范围内的变化调整,实现4倍光学连续变焦,且具有成像质量高、体积小等特点,不仅能够对特定的景物进行光学的放大缩小,并且在切换的过程中不会造成目标的丢失.     

非球面变焦距曲面复眼的优化研究

提出了一种新型的非球面变焦距曲面复眼结构。整个结构将曲面基底分为三个类扇形区域,每一区域微透镜阵列能够对一定物距的目标物成像,使得人造复眼在一定范围内实现焦距调节;根据微透镜所处的区域和位置,计算出微透镜的基本尺寸,并对微透镜进行了非球面优化。对所设计的曲面复眼进行了光线追迹,仿真结果表明成像球差降低到初始值的近百分之一,能够实现焦距调节,并解决了每一个微透镜在边缘处的球差问题,极大的提高了成像效果。     

Stochastic characterization of the spectrum sharing game in ad-hoc networks

This work focuses on infrastructure-less ad hoc wireless networks where multiple transmitter/receiver pairs share the same radio resources (spectrum); transmitters have to choose how to split a total power budget across orthogonal spectrum bands with the goal to maximize their sum rate under cumulative interference from concurrent transmissions. We start off by introducing and characterizing the non-cooperative game among transmitter/receiver pairs when the network topology is deterministically given. The corresponding Nash equilibria are derived, highlighting their dependency on the topological parameters (distances between wireless nodes, propagation model, and background noise power). The analysis is then extended to the case of random network topologies drawn from a given spatial stochastic process. Tools of stochastic geometry are leveraged to derive a statistical characterization of the equilibria of the spectrum sharing game. Finally, a distributed algorithm is proposed to let the players of the spectrum sharing game converge to equilibria conditions. Numerical simulations show that the proposed algorithm drives the users to stable points that are close to the equilibria of the game requiring limited information exchange among nodes.