熵能量堆煤图像的定位与识别

目的 针对煤矿皮带堆煤传感器受复杂环境干扰导致检测效率较低的问题,提出一种新的基于熵能量(EE)的堆煤图像定位与识别方法。方法 该方法首先在堆煤图像初始化区域内设定采样单元,统计采样单元前景和背景区域的信息熵,计算信息熵分布的极大值所对应的的灰度阶并统计其出现的概率;然后计算采样单元的熵能量和能量频率,归一化频率系数,并利用能量频率的二阶偏导确定堆煤边缘区域,将采样单元移动至堆煤边缘处;最后,根据采样单元的坐标位置计算堆煤高度和半径,进行实时预警。结果 在煤矿井下皮带堆煤视频上进行算法测试,该算法的单帧图像平均处理速度为0.35 s/帧,堆煤事故预警时间间隔最大为0.35 s,平均识别准确率为97.1%,测试结果表明,该方法对堆煤模糊边缘、环境噪音具有抗干扰特点,可以有效克服强噪音、模糊边缘等因素对堆煤识别的影响。结论 该方法对复杂环境中堆煤定位与识别具有很好的实时性和准确性,对提高煤矿安全生产效率具有重要意义。     

空间欠采样太赫兹时域光谱成像方法

文章针对传统太赫兹时域光谱成像技术存在的扫描时间长以及数据存储量大等问题,提出了一种基于压缩感知理论的空间欠采样太赫兹时域光谱成像方法。首先通过扫描电机获得目标非等间隔欠采样信号,然后利用压缩感知方法来重构缺失像素点的太赫兹信息。实验结果显示,当压缩比为0.5时,所重构的太赫兹信号与全采样条件下的信号相关性可达99.95%。通过对压缩重建图像的显示分析,时域图像中的缓变区域和频谱成像中的低频信号恢复效果较好。该方法为快速太赫兹光谱成像提供了一种有效的技术手段。     

A multi-criteria trajectory-based parameter sampling strategy for the screening method of elementary effects

Environmental models are inherently complex and often characterized by high dimensionality. The method of elementary effects (EE) is one of the most widely used parameter screening technique implemented to reduce burden on computational resources required for thorough model evaluation. Due to issues like inefficient screening and excessive sampling time, the development of more effective EE sampling strategies has been a recent research focus. This paper presents a new sampling strategy - Sampling for Uniformity (SU) – based on the principles of meeting close-to-theoretical parameter distributions and maximizing trajectory spread. The performance of the SU relative to existing strategies was evaluated using a number of criteria including generated parameter distributions' uniformity, time efficiency, trajectory spread, and screening efficiency. The SU performed better than some trajectory-based benchmark strategies across the evaluation criteria, underlining the effectiveness of multi-criteria based sampling and the need to focus future efforts on exploring other combinations of sampling criteria.     

基于Nagios的综合监视系统设计与实现

随着全国气象信息网络系统的快速发展,实时业务的重要性不断提高,在整个气象业务和服务体系中占据的比重也越来越大。建设及时、有效、统一的实时业务监视系统成为影响业务稳定运行和不断发展的关键,同时也是信息网络管理运维部门面临的挑战。本文详细阐释了一个基于nagios软件的综合监视系统的设计和实现。系统已投入业务中试用,不仅能提供网络系统实时运行情况的监视,而且能够有效监视各类应用系统的实时运行情况。该系统的实现为大规模网络系统和复杂应用的监视和管理提供有效的技术手段,为实时业务的集中统一监视提供技术思路和有益的尝试,收到了良好的效果。     

基于NT技术中链路时延推测算法的分析研究

在研究了当前时延推测算法的基础上,将高斯混合模型推广到有限混合模型,使得算法可以同时推测多条链路的时延分布,利用重要性抽样技术增大研究事件出现的概率,再进行抽样并对样本空间进行调整,保证了指标的无偏性和有效性,同时降低了计算的复杂度,因此此方法具有广泛的适用性。最后在NS2平台上仿真验证,说明该算法是可行的。     

Reconstruction of N-th order nonuniformly sampled bandlimited signals using digital filter banks

In this paper, a digital filter bank structure is proposed for the reconstruction of uniformly sampled bandlimited signals from their N-th order nonuniform samples. The proposed filter bank structure is arrived at after incorporating polyphase-domain filtering operations and discrete Fourier transform (DFT) modulation to an existing filter bank framework.In this paper, an idea is also presented, so that uniform samples can be reconstructed from N-th order nonuniform samples using the structures based on recurrent nonuniform sampling. A comparison of the computational complexity and the signal-to-noise ratio (SNR) performance is also given for various structures existing in the literature.     

Parametric modeling of microwave passive components using combined neural networks and transfer functions in the time and frequency

A novel parametric modeling technique is proposed to develop combined neural network and transfer function models for both time and frequency (TF) domain applications of passive components, where the neural network is trained to map geometrical variables to the coefficients of transfer functions. Built on our previous work, a new order‐changing module is developed to enforce stability of transfer functions and simultaneously guarantee continuity of coefficients. A constrained optimization strategy is introduced to enforce passivity of transfer functions through a neural network training process. A general equivalent circuit for two‐port passive components is generated directly from coefficients of arbitrary‐order transfer functions. Once trained, the parametric model can provide accurate and fast prediction of the electromagnetic behavior of passive components with geometrical parameters as variables. Compared to our previous work, the proposed method enables models to work well in the time domain providing good accuracy in challenging modeling applications. Two parametric modeling examples of spiral inductors and interdigital capacitors, and their application in both time and frequency domain simulations of a power amplifier are examined to demonstrate the validity of the proposed technique. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE , 2013.     

Distribution, relative abundance, and prey demand by double-crested cormorants on Manitoulin Island lakes vs. Lake Huron Coast

An aerial distance sampling survey of double-crested cormorants (Phalacrocorax auritus) was conducted in the northern region of Lake Huron (North Channel; four largest lakes of Manitoulin Island; South Shore of Manitoulin Is. facing the main body of the lake) to assess the relative distribution, abundance and prey demand by cormorants on inland lake vs. coastal habitat. On a per area basis, the density (approx. 1-2 cormorants ? km^− 2) and prey demand (approx. 1.2 kg ha^− 1) of cormorants in the four inland lakes matched that of the North Channel. The South Shore had approximately half the density and prey demand as the other two areas. Cormorants on the inland lakes of Manitoulin Island represented 13% early in the season and a high of 33% of the total population for this region of Lake Huron later in the summer. Estimating regional distributions of cormorants within the Great Lakes basin is important because mapped nest colonies and nest counts are not representative of the actual distribution of foraging cormorants during and after the nesting season. There are two general conclusions to emerge from this survey. First, aquatic productivity from both Great Lakes coast and inland lakes contributes to trends in population and distribution of cormorants in the northern region of Lake Huron and perhaps elsewhere. Second, inland aquatic ecosystems are important throughout a season for foraging cormorants from the Great Lakes and may become more important as Great Lake productivity trends downward.     

在癌症分类中基于分层抽样的神经网络集成算法

在基因表达谱数据的分析中,针对有效合理地选择特征基因集的问题,本文将分层抽样技术引入特征基因选择,提高特征基因集的分类能力。以神经网络作为分量分类器,神经网络集成进行分类预测。并在结肠癌数据集上进行实验,实验结果表明该方法能有效地降低特征基因集选择的复杂性,提高对于未知样本的分类预测效果。     

The experimental research of a digital sampling signal converter

The sensitivity and rise time of a transient characteristic of a digital sampling signal converter are experimentally researched. The sampling converter is built at a clocked tunnel-diode comparator.