Efficient Legendre moment computation for grey level images

Legendre orthogonal moments have been widely used in the field of image analysis. Because their computation by a direct method is very time expensive, recent efforts have been devoted to the reduction of computational complexity. Nevertheless, the existing algorithms are mainly focused on binary images. We propose here a new fast method for computing the Legendre moments, which is not only suitable for binary images but also for grey level images. We first establish a recurrence formula of one-dimensional (1D) Legendre moments by using the recursive property of Legendre polynomials. As a result, the 1D Legendre moments of order p, L_p=L_p(0), can be expressed as a linear combination of L_p-1(1) and L_p-2(0). Based on this relationship, the 1D Legendre moments L_p(0) can thus be obtained from the arrays of L₁(a) and L₀(a), where a is an integer number less than p. To further decrease the computation complexity, an algorithm, in which no multiplication is required, is used to compute these quantities. The method is then extended to the calculation of the two-dimensional Legendre moments L_pq. We show that the proposed method is more efficient than the direct method.     

高能超声作用下数种金属基复合材料的制备及机制

利用高能超声振动制备了A l/陶瓷, ZA 22/陶瓷(粒子平均直径2L) ,A l/P b (Pb 粒子直径< 25L) 和A l/F eA l₃等金属基复合材料, 弥散相在基体中有良好的分布均匀性。依据超声波对熔体作用时的空化和声流效应, 讨论了上述数种复合材料的制备机制。试验结果显示, 该项技术在制备数类金属基复合材料方面具有广泛的适用性。     

面向染料清洁生产和染料废水处理的纳滤技术

综述了纳滤膜对含盐染料溶液的分离原理、纳滤膜的选择、纳滤脱盐浓缩工艺过程与应用研究、纳滤处理染料废水与资源化方面的应用研究、纳滤技术的经济性以及应用过程中膜污染的控制。指出利用纳滤技术改进染料生产工艺是可行的,能够实现染料清洁生产,具有明显的经济效益和环境效益;采用纳滤处理染料废水,浓缩液和透过液可以分开处理,易于资源化,并且有利于染料废水的后继处理,是高浓度高含盐染料废水的一种有效处理方法。     

多中继放大转发协作通信中的中继数量与位置的联合优化

本文研究了基于单用户下行遍历容量的多中继放大转发模型中中继数量与位置的联合优化问题.首先建立了单用户蜂窝中继小区协作通信模型,提出了位置-数量遍历容量.然后建立了问题优化模型,分析了位置-数量遍历容量与中继数量、中继节点位置的关系:位置-数量遍历容量随中继数量增大而增加;当中继数量给定时,位置-数量遍历容量随中继节点位置距离增大先增加后减少.最后提出了先依据容量随中继数量提升百分比的门限确定中继数量,再确定中继节点位置的方法.     

Three-dimensional subwavelength components utilizing THz surface plasmons

Since surface plasmons(SPs)are not constrained by the diraction limit,they have important potential applications in the optical,terahertz(THz),and microwave components.In this paper,we firstly present a review of three-dimensional(3D) bidirectional and multi-directional THz SP splitters based on the rectangular metallic groove gratings with finite thickness,in which a metallic wire was used to excite the THz SPs.The experimental verifications of such splitters have been implemented in the microwave frequencies,and the measurement results have excellent agreements to the full-wave simulations.To improve the performance,a 3D bidirectional THz SP splitter with the transverse confinement and a 3D bidirectional bending THz SP splitter are then proposed,which have shown very good splitting performance,compact sizes,and better transverse confinement of EM fields.Finally,a broadband slow-wave system of subwavelength thickness is reviewed and a new bending slow-wave system utilizing THz SPs is proposed.Experiments and simulations in microwave frequencies have good agreements,showing the validity of these components.     

基于减聚类优化算法的无线传感网络分簇路由协议研究

无线传感网络是当前无线网络研究的热点领域,分簇路由协议作为降低网络能耗、提高网络生存时间的核心技术而备受关注。在深入分析已有算法存在诸多不足的基础上,本文提出了一种基于减聚类优化的分簇路由算法。本文首先建立一阶能耗模型,确定网络最优簇首数量;然后建立减聚类优化数学模型,确定可供选择的分簇方案;最后以最小化最大簇内距离方差作为评价指标,确定最优的分簇结果。仿真结果表明:相比经典的LEACH分簇路由协议,该算法划分的网络能够有效地降低网络能耗、提高网络生存时间,弥补已有算法的不足之处。     

Measuring the likelihood of VR visual fatigue through ocular biomechanics

Immersion in virtual reality is still linked to symptoms of visual fatigue such as eye strain, dizziness, and overall discomfort. Studies have investigated visual fatigue through pre- and post-immersion tests of the visual function. In this work, we extend on our previous study and derive a visual fatigue likelihood metric using biomechanical analysis. Previously, we have investigated the effect of VR on the vergence system during immersion. The proposed visual fatigue metric exhibited a significant correlation to vergence angle variability which was previously linked to vergence accommodation conflict in VR. We also discuss subjective feedback and its relationship with the proposed visual fatigue metric.     

Speech Enhancement via Residual Dense Generative Adversarial Network

Generative adversarial networks (GANs) are paid more attention to dealing with the end-to-end speech enhancement in recent years. Various GAN-based enhancement methods are presented to improve the quality of reconstructed speech. However, the performance of these GAN-based methods is worse than those of masking-based methods. To tackle this problem, we propose speech enhancement method with a residual dense generative adversarial network (RDGAN) contributing to map the log-power spectrum (LPS) of degraded speech to the clean one. In detail, a residual dense block (RDB) architecture is designed to better estimate the LPS of clean speech, which can extract rich local features of LPS through densely connected convolution layers. Meanwhile, sequential RDB connections are incorporated on various scales of LPS. It significantly increases the feature learning flexibility and robustness in the time-frequency domain. Simulations show that the proposed method achieves attractive speech enhancement performance in various acoustic environments. Specifically, in the untrained acoustic test with limited priors, e.g., unmatched signal-to-noise ratio (SNR) and unmatched noise category, RDGAN can still outperform the existing GAN-based methods and masking-based method in the measures of PESQ and other evaluation indexes. It indicates that our method is more generalized in untrained conditions.