基于熵值加权支持向量机的火焰检测方法

提出一种基于熵值加权支持向量机(SVM)的火焰检测方法。采用三帧差分算法对视频前景提取(VIBE)算法进行改进,并提出TH-VIBE前景检测算法,提升疑似火焰区域获取的准确率与完整性;利用熵值加权降低纹理特征、面积变化特征、圆形度特征、灰度特征等特征数据的冗余程度并建立熵值加权火焰识别模型,提升火焰识别速率与准确率;最后依据韩国启明大学和土耳其比尔肯大学SPG工作组火焰数据进行实验,火焰检测准确率可达97%,具有较高的鲁棒性。     

基于KPCA和LSSVM的表面缺陷深度识别

为了实现铝板表面缺陷智能识别分类,解决支持向量机在识别过程中准确率不高的问题,对核主成分分析(Kernel Principal Component Analysis,KPCA)和最小二乘支持向量机(Least Square Support Vector Machine,LSSVM)在缺陷深度识别分类的应用进行了研究。采用核主成分分析算法对实验获取的激光超声信号进行时域特征参数提取主成分,并将多个满足要求的主成分作为输入,建立KPCA-LSSVM分类模型对表面缺陷进行识别。结果表明,该模型精准率和召回率高于优化前的系统,识别准确率达到了95%。     

利用SVM的聚类算法在时间序列信号识别中的应用

研究了一维时间序列信号识别的问题.针对基于混合高斯模型的隐马尔科夫(HMM)编码准确率低的问题,提出了一种利用多个支持向量机构造混合支持向量机,从而为隐马尔科夫模型提供更精确的观测值编码和发生矩阵,能有效的提高HMM在语音信号识别或者文字识别中的准确率.本方法可以应用到语音识别,文字识别以及生物信息处理等领域.     

应用太赫兹光谱技术快速无损鉴别中草药品种

确定中药品种是确保中药材质量的第一关。为探索中草药品种的快速鉴别方法,本文应用太赫兹光谱技术结合模式识别方法对6种中草药进行分类鉴别。采集了白附片、大黄、党参、陈皮、麦冬、天麻等6种常用中草药,共得到420组太赫兹光谱数据,在0.2~1.5 THz波段分别采用支持向量机(SVM)、主成分分析(PCA)和支持向量机相结合、线性判别分析(LDA)结合支持向量机等方法对6种中药材进行了定性鉴别分析。结果表明,太赫兹光谱数据结合线性判别分析和支持向量机建立的LDA-SVM中草药品种识别模型最优,模型准确率达100%,对未知样本的鉴别准确率达98.41%。本文的LDA-SVM模型具有较好的鉴别能力,能快速准确地鉴别出中药材的品种,为中草药的质量控制提供了又一鉴别手段。     

特征筛选和支持向量机的体育视频识别

为了提高体育视频识别的准确率,加快体育视频识别的速度,提出特征筛选和支持向量机的体育视频识别模型。首先提取体育视频图像的特征,并将特征输入到支持向量机进行训练;然后根据训练样本得到每一种特征对体育视频识别的平均贡献值,并根据平均贡献值进行降序排列,去除一些无用、冗余的特征,筛选出重要特征;最后根据重要特征建立体育视频识别模型,采用仿真实验对模型的有效性进行测试和分析。仿真结果表明,该模型提高了体育视频识别的正确率,而且误识率要低于对比模型。     

基于最小二乘支持向量机的电子音乐识别研究

为了提高电子音乐识别精度,更快从海量电子音乐中找到用户真正需要的电子音乐,提出基于最小二乘支持向量机的电子音乐识别模型。首先收集电子音乐的数据,并采用小波分析对电子音乐数据进行去噪处理,然后提取电子音乐的特征,并对特征进行归一化处理,最后采用最小二乘支持向量机对处理后的电子音乐数据进行训练,建立电子音乐识别模型。采用具体电子音乐数据对模型的有效性进行验证,结果表明,与传统电子音乐识别模型相比,支持向量机对噪声数据具有良好的鲁棒性,可以有效识别各种类型的电子音乐,而且电子音乐的识别速度更优。     

基于大数据技术的网络流量分析与异常检测

文中基于大数据技术，研究了基于支持向量机的网络流量分析与异常检测方法。首先，对网络流量数据进行预处理，如清洗、集成和转换等，以获取适合支持向量机分析的特征向量表示。然后，应用支持向量机分析技术对网络流量进行异常检测，通过构建超平面实现对正常样本和异常样本的分类。最后，利用NSL-KDD数据集进行实验验证，并评估该方法在网络流量异常检测中的性能。实验结果表明，基于支持向量机的网络流量异常检测方法在NSL-KDD数据集上取得了较好的准确率、召回率和精确率。     

基于GWO-SVM的红外热成像低零值绝缘子识别

为了准确识别电网中的低零值绝缘子,提高劣化绝缘子诊断的准确率,提出了一种使用灰狼算法优化（grey wolf optimizer, GWO）与二进制支持向量机（support vector machine, SVM）分类器相结合的模型,对红外图像中的低零值绝缘子进行自动检测。首先对绝缘子红外图像进行增强,利用Ostu算法对红外图像进行分割,并对得到的二值图像进行倾斜角度矫正和切割,提取绝缘子串的有效区域,然后将图像特征用于向量机的分类识别。实验结果表明,灰狼算法优化支持向量机比常用的网格搜索算法（grid search, GS）、粒子群优化算法（particle swarm optimization, PSO）等得到的分类模型能更准确、有效地对低零值绝缘子进行识别,且准确率更高。     

基于卷积神经网络的反无人机系统图像识别方法

针对无人机的无证飞行和随意飞行严重影响和威胁公共安全的问题,提出了反无人机系统。识别无人机是反无人机系统实现的关键之一,为此提出了一种基于卷积神经网络的图像识别无人机方法。运用自制光学系统采集设备采集了不同型号的无人机图片以及鸟类图片,设计了针对无人机小样本识别的卷积神经网络和支持向量机。运用设计的卷积神经网络分别对MNIST数据集、无人机图片以及鸟的图片进行了识别,同时也运用支持向量机识别无人机和鸟的图片,进行了对比实验。实验结果表明,设计的卷积神经网络在MNIST数据集上识别准确率为91.3%,识别无人机准确率为95.9%,支持向量机识别准确率为88.4%。对比实验表明,提出的方法可以识别无人机和鸟以及不同类型的无人机并且识别结果优于支持向量机,可用于反无人机系统识别无人机,给同类研究提供了借鉴。     

基于双谱奇异值和最优参数支持向量机的目标识别算法

提出了基于双谱奇异值和最优参数支持向量机的目标识别算法。首先从目标距离像的双谱中提取双谱奇异值特征;然后通过实验的方法确定支持向量机参数取值的范围,利用遗传算法获取支持向量机的最优参数;最后应用最优参数支持向量机对3种地面坦克目标进行识别。仿真实验表明,即使在较低的信噪比下该算法仍然可以取得比较高的识别率。     

Cost-effective test solutions for smart card and other integrated flash applications

From its emergence in the late 1980s as a lower cost alternative to early EEPROM technologies, flash memory has evolved to higher densities and speedsand rapidly growing acceptance in mobile applications.In the process, flash memory devices have placed increased test requirements on manufacturers. Today, as flash device test grows in importance in China, manufacturers face growing pressure for reduced cost-oftest, increased throughput and greater return on investment for test equipment. At the same time, the move to integrated flash packages for contactless smart card applications adds a significant further challenge to manufacturers seeking rapid, low-cost test.     

An improved parallel thinning algorithm with two subiterations

The parallel thinning algorithm with two subiterations is improved in this paper. By analyzing the notions of connected components and passes, a conclusion is drawn that the number of passes and the number of eight-connected components are equal. Then the expression of the number of eight-connected components is obtained which replaces the old one in the algorithm. And a reserving condition is proposed by experiments, which alleviates the excess deletion where a diagonal line and a beeline intersect. The experimental results demonstrate that the thinned curve is almost located in the middle of the original curve connectivelv with single pixel width and the processing speed is high.     

Theoretical analysis of the relationship between the Brillouin gain coefficient and the strain in the optical-fiber sensors

The relation between the power of the Brillouin signal and the strain is one of the bases of the distributed fiber sensors of temperature and strain. The coefficient of the Bfillouin gain can be changed by the temperature and the strain that will affect the power of the Brillouin scattering. The relation between the change of the Brillouin gain coefficient and the strain is thought to be linear by many researchers. However, it is not always linear based on the theoretical analysis and numerical simulation. Therefore, errors will be caused if the relation between the change of the Brillouin gain coefficient and the strain is regarded as to be linear approximately for measuring the temperature and the strain. For this reason, the influence of the parameters on the Brillouin gain coefficient is proposed through theoretical analysis and numerical simulation.     

Novel fiber-optical interferometer with miniaturized probe for in-hole measurements

Today, micro-system technology and the development of new MEMS （Micro-Electro-Mechanical Systems） are emerging rapidly. In order for this development to become a success in the long run, measurement systems have to ensure product quality. Most often, MEMS have to be tested by means of functionality or destructive tests. One reason for this is that there are no suitable systems or sensing probes available which can be used for the measurement of quasi inaccessible features like small holes or cavities. We present a measurement system that could be used for these kinds of measurements. The system combines a fiber optical, miniaturized sensing probe with low-coherence interferometry, so that absolute distance measurements with nanometer accuracy are possible.     

Teleportation of an arbitrary unknown N-qubit entangled state under the controlling of M controllers

A new quantum protocol to teleport an arbitrary unknown N-qubit entangled state from a sender to a fixed receiver under M controllers(M < N) is proposed. The quantum resources required are M non-maximally entangled Greenberger-Home-Zeilinger (GHZ) state and N-M non-maximally entangled Einstein-Podolsky-Rosen (EPR) pairs. The sender performs N generalized Bell-state measurements on the 2N particles. Controllers take M single-particle measurement along x-axis, and the receiver needs to introduce one auxiliary two-level particle to extract quantum information probabilistically with the fidelity unit if controllers cooperate with it.     

Diode-end-pumped Nd:YVO4/LBO lasers with 4.2W continuous-wave output at 457 nm

A continuous-wave (CW) 457 nm blue laser operating at the power of 4.2 W is demonstrated by using a fiber coupled laser diode module pumped Nd: YVO4 and using LBO as the intra-cavity SHG crystal With the optimization of laser cavity and crystal parameters, the laser operates at a very high efficiency. When the pumping power is about 31 W, the output at 457nm reaches 4.2 W, and the optical to optical conversion efficiency is about 13.5% accordingly. The stability of the out putpower is better than 1.2% for 8 h continuously working.     

Call for Papers

正Wireless Body-area Networks The last decade has witnessed the convergence of three giant worlds:electronics,computer science and telecommunications.The next decade should follow this convergence in most of our activities with the generalization of sensor networks.In particular with the progress in medicine,people live longer and the aging of population will push the development of wireless personal networks     

Call for Papers—Feature Topic,Vol.12,No.7,2015

正Information Centric Networking Information-Centric Networking(ICN) is an emerging direction in Future Internet architecture research,gaining significant tractions among academia and industry.Aiming to replace the conventional host-to-host communication model by a data-centric model,ICN treats data content as the first     

JOURNAL OF ELECTRONICS(CHINA)

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NEXT GENERATION WIRELESS NETWORKS–ESPECIALLY THE USE OF MILLI-MICROWAVE BANDS

The global bandwidth shortage of wireless communications has motivated the exploration of the naillimeter wave （ram-wave） frequency spectrum for the next generation wireless communications. Recent advances in RF CMOS technology and high speed baseband signal processing technologies have enabled tile extensive research and development of turn-wave wireless communications. The multi gigabit per second data rate of ram-wave system will lead to applications in many important scenarios, such as WPAN, WLAN,back-haul for cellular system. And the frequency bands include 28 GHz, 38 GHz, 45GHz, 60GHz, E-BAND and even beyond 100 GHz. The propagation and the imitation of the RF circuits design in these frequency bands make the directional antennas be inevitable for mm-wave communications.