试论刑事诉讼中电子证据的审查

文章根据电子证据容易灭失、被篡改,并与科学技术密切关联的特性,认为电子证据在刑事诉讼中审查存在一定的困难,进而提出在电子证据审查的过程中,应当结合电子证据的特性和有关法律规定进行,同时要及时制定相应的证据规定予以规范。     

基于AUTOSAR架构的通信系统的研究与实现

AUTOSAR是汽车开放系统体系结构,已成为汽车电子软件的工业标准,在汽车电子控制器系统开发过程中具有重要地位,其中AUTOSAR COM通信规范为汽车电子通信系统的构建提供了依据和参考;介绍了AUTOSAR体系架构,对AUTOSAR COM规范基于信号的通信机制及其特有的传输模式切换系统进行了研究,并实现了一种基于AUTOSAR架构的通信系统,试验结果表明该系统能够提供基本通信服务,且符合AUTOSAR COM规范。     

电子商务下全球闭环供应链超网络模型

建立了一个由制造商、零售商、消费者与回收商构成的全球闭环供应链超网络均衡模型.回收商回收、处置废弃产品、并将生产出的新产品销售给零售商与消费者.模型中的交易方式包括传统交易与网上交易.考虑有多种交易货币,模型设定了不同货币对基础货币的增值率.首先对各层决策者的行为进行了研究,探计了它们之间的相互作用,又运用变分不等式的...     

基于IEC61850标准变电站的通信网络和系统协议

介绍变电站使用IEC61850标准的必要性,对变电站内智能电子设备(IED)统一硬件平台设计和软件系统的实现方法以及应注意的相关问题进行详细讨论。     

加密文件的“外发”交流模式

在电子文件加密系统的控制下,经过加密控制处理的电子文件通过一定的技术处理,向文件接收方发送,使接收者能够有效地阅读加密文件。本文通过对加密文件"外发"的形式,阐述加密文件"外发"的原理和方式。     

New Riemannian techniques for directional and tensorial image data

This paper develops new geometrical filtering and edge detection algorithms for processing non-Euclidean image data. We view image data as residing on a Riemannian manifold, and we work with a representation based on the exponential map for this manifold together with the Riemannian weighted mean of image data. We show how the weighted mean can be efficiently computed using Newton's method, which converges faster than the gradient descent method described elsewhere in the literature. Based on geodesic distances and the exponential map, we extend the classical median filter and the Perona-Malik anisotropic diffusion technique to smooth non-Euclidean image data. We then propose an anisotropic Gaussian kernel for image filtering, and we also show how both the median filter and the anisotropic Gaussian filter can be combined to develop a new edge preserving filter, which is effective at removing both Gaussian noise and impulse noise. By using the intrinsic metric of the feature manifold, we also generalise Di Zenzo's structure tensor to non-Euclidean images for edge detection. We demonstrate the applications of our Riemannian filtering and edge detection algorithms both on directional and tensor-valued images.     

A systematic method for efficient computation of full and subsets Zernike moments

A new method is proposed for fast and accurate computation of Zernike moments. This method presents a novel formula for computing exact Zernike moments by using exact complex moments where the exact values of complex moments are computed by mathematical integration of the monomials over digital image pixels. The proposed method is applicable to compute the full set of Zernike moments as well as the subsets of individual order, repetition and an individual moment. A comparison with other conventional methods is performed. The results show the superiority of the proposed method.     

Segmentation and classification of hyperspectral images using watershed transformation

Hyperspectral imaging, which records a detailed spectrum of light for each pixel, provides an invaluable source of information regarding the physical nature of the different materials, leading to the potential of a more accurate classification. However, high dimensionality of hyperspectral data, usually coupled with limited reference data available, limits the performances of supervised classification techniques. The commonly used pixel-wise classification lacks information about spatial structures of the image. In order to increase classification performances, integration of spatial information into the classification process is needed. In this paper, we propose to extend the watershed segmentation algorithm for hyperspectral images, in order to define information about spatial structures. In particular, several approaches to compute a one-band gradient function from hyperspectral images are proposed and investigated. The accuracy of the watershed algorithms is demonstrated by the further incorporation of the segmentation maps into a classifier. A new spectral-spatial classification scheme for hyperspectral images is proposed, based on the pixel-wise Support Vector Machines classification, followed by majority voting within the watershed regions. Experimental segmentation and classification results are presented on two hyperspectral images. It is shown in experiments that when the number of spectral bands increases, the feature extraction and the use of multidimensional gradients appear to be preferable to the use of vectorial gradients. The integration of the spatial information from the watershed segmentation in the hyperspectral image classifier improves the classification accuracies and provides classification maps with more homogeneous regions, compared to pixel-wise classification and previously proposed spectral-spatial classification techniques. The developed method is especially suitable for classifying images with large spatial structures.     

光电探测设备CCD全自动调光系统设计

介绍一种应用于机载光电探测设备方面的CCD全自动调光系统,采用视频信号的幅值作为反馈信号的调光方式,控制CCD电子快门与变密度盘相组合调节的方法实现全自动调光。详细叙述了自动调光系统的工作原理并解析了部分电路,采用了基于模糊自适应PID控制的方法,提高了调光过程中的收敛速度,同时也保证了系统有较小的超调量。该系统具有成像清晰、适应性强、反应迅速、可靠性高等优点,具有广阔的应用前景。     

仿真软件在高频电路实验教学中的应用

Multisim10是原理电路设计、电路功能测试的仿真软件.该文利用Multisim10对高频电路中的功率放大器和正弦波振荡器进行了分析,其结果符合理论推导.将Multisim10引入到高频实验教学中,不但能提高学生的学习兴趣,帮助学生更好理解原理电路以及相关特性的测试方法,而且还能提高学生的电路设计能力.