基于级联神经网络的实用型三维复合不变性多目标识别

以三 飞机模型作为待识别目标,模型真实场景,对用于多目标分类识别的级联神经网络重新进行了研究。实验发现畜产品上降的主要原因是实际采集的目标发生的复杂畸变与计算机模拟产生的效果并不一样。用采集得到的目标图像作为训练样本,对网络重新构造和训练,取得了好的实验结果。分析了其中涉及到目标定位、图像分割等图像预处理问题,提出了一种基于二值图像开矿学腐蚀运算的快速目标检测位法,可快速有效地对目标进行检测定 。     

Variational denoising method for electronic speckle pattern interferometry

Traditional speckle fringe patterns by electronic speckle pattern interferometry (ESPI) are inherently noisy and of limited visibility, so denoising is the key problem in ESPI. We present the variational denoising method for ESPI. This method transforms the image denosing to minimizing an appropriate penalized energy function and solving a partial differential equation. We test the proposed method on computer-simulated and experimental speckle correlation fringes, respectively. The results show that this technique is capable of significantly improving the quality of fringe patterns. It works well as a pre-processing for the fringe patterns by ESPI.     

延迟自反馈控制Hindmarsh-Rose神经元的混沌运动

利用线性时间延迟自反馈方法,研究单个Hindmarsh-Rose（H-R）神经元模型混沌动力学模式的控制问题.分别将增益因子和时间延迟作为控制参数,通过数值模拟分析,发现在增益因子和时间延迟两个参数组合的一些范围内,混沌动力学模式的H-R神经元运动可自动被控制成时间间隔意义上的单峰、2峰、3峰及4峰的周期或多倍周期模式.延迟时间的选取并无特别要求,不必和嵌入在混沌吸引子内的某不稳周期轨道的周期相同,延迟控制自适应地引导混沌轨到相应的放电峰峰间隔的周期模式上. 关键词： H-R神经元 延迟反馈控制 混沌放电模式 峰峰间隔周期     

介质阻挡放电中点线超四边形发光斑图研究

采用光电倍增管和光谱仪,研究了介质阻挡放电中点线超四边形发光斑图的时空结构和等离子参数。通过对斑图中放电丝光信号的采集和分析可知:点线超四边形斑图是由四套不同的子结构相互嵌套而成,在每半个电压周期内依次为小点四边形、大点连线、大点晕和位于大点中心的小点四边形。其中前三套子结构在电压上升沿放电,最后一套在电压下降沿放电。利用发射光谱法,采集了氮分子(N2)第二正带系(C3Πu→B3Πg)发射谱线,并计算得到了点线超四边形斑图中不同子结构的分子振动温度。结果表明:小点、大点连线和大点的分子振动温度几乎相同。讨论了介质表面的壁电荷分布对点线超四边形斑图的形成及其时空动力学行为的影响。     

并五苯分子在Ag(110)表面成膜过程中的结构研究

采用低能电子衍射原位研究了并五苯分子（C₂₂H₁₄）在Ag(110)单晶表面的生长，观察了在初期沉积过程及随后基底变温过程中分子层结构的形成和变化.室温下并五苯分子在Ag(110)基底表面具有高的迁移性，从开始无序的亚单层膜结构逐渐形成有序的单层膜结构．实验和理论分析表明：并五苯分子平铺在Ag(110)表面，形成了与基底构成有关的有序结构，存在沿基底晶向成镜面对称的两种畴界取向，在基底温度从室温升高到接近并五苯升华温度的过程中，基底上的有序分子层结构保持稳定不变 关键词： 并五苯 低能电子衍射图案 分子层结构 Ag(110)     

A Visual Fault Detection Method for Induction Motors Based on a Zero-Sequence Current and an Improved Symmetrized Dot Pattern

Motor faults, especially mechanical faults, reflect eminently faint characteristic amplitudes in the stator current. In order to solve the issue of the motor current lacking effective and direct signal representation, this paper introduces a visual fault detection method for an induction motor based on zero-sequence current and an improved symmetric dot matrix pattern. Empirical mode decomposition (EMD) is used to eliminate the power frequency in the zero-sequence current derived from the original signal. A local symmetrized dot pattern (LSDP) method is proposed to solve the adaptive problem of classical symmetric lattice patterns with outliers. The LSDP approach maps the zero-sequence current to the ultimate coordinate and obtains a more intuitive two-dimensional image representation than the time–frequency image. Kernel density estimation (KDE) is used to complete the information about the density distribution of the image further to enhance the visual difference between the normal and fault samples. This method mines fault features in the current signals, which avoids the need to deploy additional sensors to collect vibration signals. The test results show that the fault detection accuracy of the LSDP can reach 96.85%, indicating that two-dimensional image representation can be effectively applied to current-based motor fault detection.     

遗传算法的早熟收敛

通过对遗传算法机理的分析,指出模式缺少是早熟产生的原因.提出了一个在遗传算法中基于模式抽取和模式补偿的补偿算子,以解决早熟现象.     

一种基于模型检查的入侵检测方法

在分析系统行为以及其动作序列的语义的基础上，利用时序逻辑公式描述攻击特征，提出了一种基于模型检查的入侵检测方法，该方法解决了检测中的重复验证等问题，通过增加推理链的长度约束，引入时序算子处理统计攻击，从而优化了入侵检测过程。     

Turing Patterns in a Reaction-Diffusion System

We have further investigated Turing patterns in a reaction-diffusion system by theoretical analysis and numerical simulations. Simple Turing patterns and complex superlattice structures are observed. We find that the shape and type of Turing patterns depend on dynamical parameters and external periodic forcing, and is independent of effective diffusivity rate σ in the Lengyel-Epstein model. Our numerical results provide additional insight into understanding the mechanism of development of Turing patterns and predicting new pattern formations.     

Unusual case of desmotropy. Combined spectroscopy (1H-14N NQDR) and quantum chemistry (periodic hybrid DFT/QTAIM and Hirshfeld surface-based) study of solid dacarbazine (anti-neoplastic)

Antineoplastic chemo-therapeutic drug 5-(3,3-dimethyl-1-triazenyl)imidazole-4-carboxamide (Dacarbazine, DTIC), has been studied experimentally in solid state by ¹H-¹⁴N NQDR double resonance at 295 K and theoretically by the Density Functional Theory (DFT)/Quantum Theory of Atoms in Molecules (QTAIM) and Hirshfeld surfaces analysis. Only one set of eighteen resonance frequencies was found in the experiment. This indicates the presence of six inequivalent nitrogen sites: –N(CH₃), –NH₂, –NH- and three –N= (of which one is a ring, two are from triazene) in the DTIC molecule. This contradicts the X-ray data which revealed the multiplication of nitrogen sites due to unusual desmotropism. The averaging of NQR frequencies caused by the fast in NQR time-scale exchange of protons in a double-well potential combined with the oscillations of twisted supramolecular synthons was proposed as a potential mechanism responsible for this apparent contradiction. An effective improvement in the quality of the spectrum reproduction was achieved when the calculations were performed assuming the periodic boundary conditions, BLYP functional, the DNP basis set and taking the 3×3×3 k-point separation. The ordering of the nitrogen sites according to the increasing quadrupole coupling constant (QCC): N(3)<N(2)<N(6)<N(1)<N(4)<N(5) reflects the metabolic pathway of DTIC. Two sites N(5) and N(4) with the highest QCC are responsible for the first step – conversion to MTIC (5-[3-methyl-triazen-1-yl]-imidazole-4-carboxamide) required for effective processes of binding dacarbazine to DNA (demethylation of N(5)), and the second step – fast conversion of MTIC to 5-amino-1H-imidazole-4-carboxamide (AIC; remove –N(4)–N(5)HCH₃). N(5) does not participate in any, while N(4) participates in weak C(2)H⋯N(4) interaction which can be readily broken. The four remaining nitrogen atoms N(1), N(2), N(3) and N(6) participate in strong intermolecular N(1)H⋯N(2) and intramolecular N(3)–H⋯N(6) bonds, which stiffen the crystalline structure.