基于VHDL的故障注入工具的研究

基于VHDL的故障注入技术是一种验证系统可信性的有效方法,构造基于VHDL的故障注入工具是故障注入研究的一个重要组成部分.对基于VHDL的故障注入技术进行了研究,详细描述了该故障注入工具的结构和主要模块功能,并进行故障注入实验,分析和计算故障的激活率、探测率、恢复率.故障注入工具可用于对中等复杂度的VHDL模型进行故障...     

基于近似熵的VDR人声识别技术研究

利用话者识别原理和语音数字信号处理技术对人声建模方法进行研究,建立了基于GMM模型的VDR环境下的人声识别基准系统;从分析影响人声识别率因素的角度出发,指出传统算法的不足,并提出一种基于近似熵的语音端点检测算法。理论分析和实验结果证明:新算法能有效屏蔽大动态冲击性噪声,解决了语音的虚检现象,并且在低信噪比0 dB情况下的识别率提升66%。     

超声波生物处理技术中多路体积分数检测器的设计

在多频带处理组组合搜索、捕捉、锁定最佳处理频率的运行策略下,基于ATmega16单片机,设计实现了一种用于生物液处理的多路体积分数温度检测器,并在实验中得以实现,为改善现有超声波生物处理技术提供了帮助.就其硬件电路,软件处理,以及数据通信需求的相关研究测试表明:其支持多路数据检测,统筹数据收发等各项功能满足自动化、最优...     

基于PID反馈的高Q值加速度计闭环检测电路

高Q值加速度计由于能够很好地降低热机械布朗噪声,被广泛应用于高精度低噪声检测领域,相应的闭环接口电路却成为其应用的困难之一.通过分析传感器的器件结构和动态响应,提出了一种基于PID反馈的闭环检测电路来克服传感器因高Q值造成的不利影响,改善系统的频率特性和动态响应.根据设计原理设计和测试了基于PCB板级的闭环检测电路.电...     

高分辨率灰度图像的快速多分辨率着色

灰度图像的计算机快速着色有着广泛的应用前景,尤其足对老照片或者旧影片的彩色化处理.基于最优化的着色方法利用少量的人工标色,就能够得到好的着色效果,但是该方法在处理较高分辨率图像时需要消耗大量的存储和计算资源,有时甚至不能得到最后的结果.在最优化着色方法的基础上,文中利用图像着色的特征,提出了使用最优化着色的金字塔模型进行多分辨率着色处理的新方法,始终控制矩阵计算的规模,能够很快地得到视觉效果一致甚至更好的着色效果.实验结果也证明新方法无论在计算时间、存储需求还是最后着色的质量上,尤其是针对高分辨率图像,比原方法有了很大的改进.     

Colon segmentation and colonic polyp detection using cellular neural networks and three-dimensional template matching

Abstract: In this study, an automatic three-dimensional computer-aided detection system for colonic polyps was developed. Computer-aided detection for computed tomography colonography aims at facilitating the detection of colonic polyps. First, the colon regions of whole computed tomography images were carefully segmented to reduce computational burden and prevent false positive detection. In this process, the colon regions were extracted by using a cellular neural network and then the regions of interest were determined. In order to improve the segmentation performance of the study, weights in the cellular neural network were calculated by three heuristic optimization techniques, namely genetic algorithm, differential evaluation and artificial immune system. Afterwards, a three-dimensional polyp template model was constructed to detect polyps on the segmented regions of interest. At the end of the template matching process, the volumes geometrically similar to the template were emhanced.     

On neighbor discovery in cognitive radio networks

A cognitive radio node is a radio device capable of operating over multiple channels. As a result, a network consisting of one or more cognitive radio nodes can adapt to varying channel availability in its geographical region by dynamically changing the channel (or channels) nodes are using for communication.     

基于多代理技术的入侵检测机制研究

本文针对传统入侵检测技术难以适应无线传感器网络的动态性和资源有限等特点的问题,将人工免疫原理和多代理技术相结合,提出了一种适用于分簇式无线传感器网络的入侵检测机制(IMAIDM);给出了免疫Multi-Agent模型描述、Multi-Agent的功能定义以及相关算法。     

Active fault detection and control: Unified formulation and optimal design

A new unified formulation of the active fault detection and control problem for discrete-time stochastic systems and its optimal solution are proposed. The problem formulation stems from the optimal stochastic control problem and includes important special cases: an active detector and controller, an active detector and input signal generator, and an active detector with a given input signal generator. The optimal solution is derived using the so-called closed loop information processing strategy. This strategy respects the influence of the current decision and/or input on the future behavior of the observed system, allows penalizing future wrong decisions, and improves the quality of fault detection. The proposed formulation and obtained solution also provide better understanding of the active fault detection and its relation to the optimal stochastic control. The results are illustrated in numerical examples.     

Feature detection of triangular meshes based on tensor voting theory

This paper presents n-dimensional feature recognition of triangular meshes that can handle both geometric properties and additional attributes such as color information of a physical object. Our method is based on a tensor voting technique for classifying features and integrates a clustering and region growing methodology for segmenting a mesh into sub-patches. We classify a feature into a corner, a sharp edge and a face. Then, finally we detect features via region merging and cleaning processes. Our feature detection shows good performance with efficiency for various dimensional models.