Globally Exponential Stability for Delayed Neural Networks Under Impulsive Control

In this paper, the dynamic behaviors of a class of neural networks with time-varying delays are investigated. Some less weak sufficient conditions based on p-norm and ∞-norm are obtained to guarantee the existence, uniqueness of the equilibrium point for the addressed neural networks without impulsive control by applying homeomorphism theory. And then, by utilizing inequality technique, Lyapunov functional method and the analysis method, some new and useful criteria of the globally exponential stability with respect to the equilibrium point under impulsive control we assumed are derived based on p-norm and ∞-norm, respectively. Finally, an example with simulation is given to show the effectiveness of the obtained results.     

Fire detection based on hidden Markov models

In this paper, a novel method of real-time fire detection based on HMMs is presented. First, we present an analysis of fire characteristics that provides evidence supporting the use of HMMs to detect fire; second, we propose an algorithm for detecting candidate fire pixels that entails the detection of moving pixels, fire-color inspection, and pixels clustering. The main contribution of this paper is the establishment and application of a hidden Markov fire model by combining the state transition between fire and non-fire with fire motion information to reduce data redundancy. The final decision is based on this model which includes training and application; the training provides parameters for the HMM application. The experimental results show that the method provides both a high detection rate and a low false alarm rate. Furthermore, real-time detection has been effectively realized via the learned parameters of the HMM, since the most time-consuming components such as HMM training are performed off-line.     

一种低功耗集中供热实时温度采集系统设计

从系统性能,运行效率和经济效益等方面出发,设计出一种低功耗的多路温度采集与实时检测系统,既可为供热部门提供实际温度参数,合理调度锅炉运行时间,降低能耗;又可以为监管部门提供可靠的供热质量信息,方便协调和管理,化解供需的矛盾。具有较好的经济效益和社会效益。     

基于ARM的消防设备无线联网终端硬件设计

信息网络化的社会,消防报警设备的网络化是大势所趋。为了不浪费现行的消防联动设备资源,研究设计出一套基于ARM的硬件平台,集成了无线通信模块和图像采集模块。采用低成本硬件,达到系统功能要求。     

路径规划算法的改进及在车载导航中的应用

路径规划算法是车载导航的核心问题。充分利用启发式搜索具有方向性的启发信息,对A＊算法进行改进,采用双向的A＊算法来避免过多的节点搜索和搜索过界,不能得到正确结果的问题。同时,为了适合嵌入式平台的特殊环境,采用数据分层,搜索过程升层的方法,充分利用内存资源,减少外存I/O的工作量。并且结合上述策略,给出了改进的算法伪代码流程并对改进的A＊算法的进行验证。     

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...     

Continuous and impulsive vaccination of SEIR epidemic models with saturation incidence rates

In this paper, two delayed SEIR epidemic models with continuous and impulsive vaccination and saturating incidence are investigated. The dynamical behaviors of the disease are analyzed. For continuous vaccination, we obtain a basic reproductive number _R1$R_1$ and prove that if _R1≤1$R_1\le 1$ then the disease-free equilibrium is globally attractive and if _R1>1$R_1>1$ then the disease is permanent by using the Lyapunov functional method. For impulsive vaccination, we obtain two thresholds R^∗$R^{\ast }$ and _R∗$R_{\ast }$ and prove that if R^∗<1$R^{\ast }<1$ then the disease-free periodic solution is globally attractive and if _R∗>1$R_{\ast }>1$ then the disease is permanent by using the comparison theorem of impulsive differential equation and the Lyapunov functional method. Lastly, we compared the effects of two vaccination strategies.     

基于80C186处理器的多功能实验板的研制

针对近年来飞机含80C186处理器电路板修理现状,为掌握该系列板件的修理能力,迫切需要开展其软件测试技术研究.从封装、类型以及时序分析角度,在对80C186处理器进行系统阐述基础上,设计并研制一块基于80C186处理器的多功能(包括串口通信、并口检测以及定时计数功能)实验板,给出该板的硬件电路图与软件流程框图,并基于汇编语言在QTH-2008PCI开发环境下进行功能调试,实验结果表明其有效性.所做的含80C186处理器的正向设计与软件编程研究工作对于逆向修理含80C186处理器飞机电路板板件有很大帮助.     

编辑距离算法及其在英语易混词自动抽取中的应用

研究英语单词形态相似度的计算方法.采用可设置编辑距离上限参数的算法实现从指定词汇范围自动抽取近形词.筛选出的易混近形词经消重和分类后可以丰富英语词汇知识库的内容.易混词知识库在教材编写、词汇能力训练设计、词典编纂和真词错误拼写校正等领域具有应用价值.     

跌倒检测在远程健康监管系统中的应用研究

利用三轴加速度传感器对人体活动产生的加速度信号进行采集,提出了将数据分析分割成用户终端信号的预处理和在后台处理两部分。在用户终端采取基于1-class SVM分类算法对疑似数据进行提取,在后台通过分析不同动作事件下其能量损耗的阈值范围的不同进行跌倒判断,并分析了人体在特定时域的速度、位移以及倾角作为判断跌倒的辅助判据。实验表明,该应用能够为老年人的健康提供一种新的保障。