武术视频检索技术应用研究

文章通过分析武术视频的特点,提出了一种关于提取武术分段视频的关键帧的算法:图像颜色特征计算法与Ⅰ帧提取法相结合的方法,经仿真实验证明此算法对于武术分段视频的关键帧提取准确率高。在此算法的基础上,对关键帧的运动人体进行特征向量的概括。然后,对支持向量机进行了分析并利用得出的特征向量作为样本对分类器进行构造和训练。基于以上步骤设计的系统,可有效的实现对武术视频的分类检索。     

基于能量检测算法的频谱感知方法分析

简要介绍了认知无线电通信系统中基于能量检测算法的频谱感知方法,分析了能量检测算法的原理和性能,研究了噪声的不确定性对检测性能的影响。仿真实验表明,能量检测法是一种有效的频谱感知方法。     

基于单调邻域粗糙集的特征基因提取

为了避免连续数据离散化处理时造成的信息损失,降低样本属性邻域求解的复杂度,提高特征基因提取的效率。该文在单调度量空间上,提出了一种基于单调邻域粗糙集的特征基因提取方法。并在两个标准的基因表达数据上进行了实验,结果证明该方法是有效可行的。     

Phototherapy and the benefits of LEDs

Abstract— Light sources with wavelengths from near‐UV to near‐IR can cure skin diseases, relieve pain in the body, reduce wrinkles on the skin, treat acne on the face, grow hairs on head, and heal various kinds of other diseases. This is called phototherapy. Near‐UV, visible, and near‐IR LEDs now enable phototherapy viable for personal use because of the possibility of controlling the intensity of LED light with specific wavelengths. The medical applications of LEDs for phototherapy are reviewed.     

A novel Parzen probabilistic neural network based noncoherent detection algorithm for distributed ultra-wideband sensors

Ultra-wideband (UWB) has been widely recommended for significant commercial and military applications. However, the well-derived coherent structures for UWB signal detection are either computationally complex or hardware impractical in the presence of the intensive multipath propagations. In this article, based on the nonparametric Parzen window estimator and the probabilistic neural networks, we suggest a low-complexity and noncoherent UWB detector in the context of distributed wireless sensor networks (WSNs). A novel characteristic spectrum is firstly developed through a sequence of blind signal transforms. Then, from a pattern recognition perspective, four features are extracted from it to fully exploit the inherent property of UWB multipath signals. The established feature space is further mapped into a two-dimensional plane by feature combination in order to simplify algorithm complexity. Consequently, UWB signal detection is formulated to recognize the received patterns in this formed 2-D feature plane. With the excellent capability of fast convergence and parallel implementation, the Parzen Probabilistic Neural Network (PPNN) is introduced to estimate a posteriori probability of the developed patterns. Based on the underlying Bayesian rule of PPNN, the asymptotical optimal decision bound is finally determined in the feature plane. Numerical simulations also validate the advantages of our proposed algorithm.     

认知无线电网络中的一种新型协作频谱感知方法

提出一种能够应用于认知无线电网络中的新型协作频谱感知方法--双阚值能量检测,该方法同时利用了次要用户的接收信号能量和局部判决结果两种信息,由判决中心结合次要用户的局部判决结果和接收信号能量,做出最终判决从而确定主要用户存在与否.该方法在通信流量增加不多的情况下能够充分提升检测性能.仿真结果表明当接收信号能量落入延迟判决区间的概率较大时,该算法能够显著地改善认知无线电网络的协作频谱感知能力.     

认知无线电网络路由协议综述

认知无线电网络中的节点具有动态频谱接入的特点,进而产生可用频谱的不规则性,这与传统无线多跳网络有很大不同,从而导致了认知无线电网络路由面临新的挑战.在介绍认知无线电网络路由的特点之后,对路由协议进行了初步分类.然后着重分析了目前认知无线电网络较为重要的路由协议的主要机制,详细比较了路由协议的主要类别和特点,最后总结了好的认知无线电网络路由协议的特点,并对未来发展趋势进行了初步展望.     

无线传感器网络动态频谱分配方案

针对无线传感器网络带宽与能量受限问题,以最大化频谱利用和最小化频谱切换为目标,兼顾优先级和公平性指标,构造最大化系统整体性能的目标函数。在此基础上,提出一种适合无线传感器网络的动态频谱分配方案。仿真结果表明,该频谱分配方案在考虑优先级的同时能够公平地分配频谱资源,实现最小化频谱切换。     

不同油蒿树势的光谱分析

以宁夏灵武油蒿主要分布区为研究地,野外调查并获取了健康及受钻蛀性害虫危害后油蒿冠层光谱的反射率,并应用一阶微分方法处理光谱反射率进行研究。研究表明,健康油蒿受到钻蛀性害虫危害后,具有明显的＂红边＂蓝移现象,同时,利用高光谱数据监测虫害发生是可行的,而且对植株本身不造成任何伤害。该研究为荒漠灌木林是否可利用高光谱数据来进行钻蛀性害虫监测提供了基础。     

基于PDF417条码的信息隐藏算法

针对现有隐藏方法存在嵌入信息量少、鲁棒性差、安全性低的不足,提出一种改进的基于PDF417条码的信息隐藏算法。该算法对隐藏信息进行扩频和映射处理,根据PDF417条码自身结构特点,通过微调条码中的条和空将信息隐藏其中。实验结果表明,该算法隐藏的信息在经受打印扫描和污损攻击后,仍具有较高提取率。