物联网应用中802．11无线局域网拒绝服务攻击研究

针时物联网应用所面临的无线拒绝服务攻击。利用排队理论研究WiFi设备通信资源的消耗特征,探求无线拒绝服务攻击下通信资源快速耗尽的原因,研发解决拒绝服务攻击的技术。此研究将有助于物联网应用的大力推广及健康发展。     

入侵检测系统研究现状及发展趋势

本文对入侵检测系统进行了详细论述,并从不同的分类进行分别研究分析,最后提出对目前的入侵检测系统应当改进的地方提出新的想法及以后的发展趋势.     

Evaluation of change blindness in multimedia learning environment with cognitive process

ABSTRACT

This study aims to investigate the change blindness and cognitive processes with eye-tracking method in multimedia learning environment. For this purpose, a multimedia animation which had some changes was designed. The eye movements were examined during the process of detecting the changes in multimedia via eye-tracking technics. The research model was defined as controlled experiment and survey methods. Twenty-one ungraduated students participated in the experiment. Attention and perception levels of participants were determined by d2 Attention Test and Group Embedded Figures Test. Change detection numbers of participants were analyzed according to their attention level and field dependence. The appearance of a major object on the scene was the most detected change and the change on the detail object was detected less. According to findings about the attention level and change detection, the participants at high attention level were more successful at detecting change in multimedia. It was observed that field-independent individuals could detect the change much more compared to the field-dependent individuals.     

基于OPNET的流媒体应用流量特征分析

针对不同工作模式的流媒体应用数据流,根据报文大小、IP地址和端口识别出流媒体应用有效数据,分析了流媒体应用流量包的大小、数量和报文长度分布等特征.利用OPNET对不同模式的流媒体流量特征数据进行分析,提取多种流行流媒体应用的行为特征.     

基于机器视觉和MATLAB/GUI的柚子外观尺寸检测系统

介绍了一种基于机器视觉技术的柚子外观尺寸检测系统.利用CMOS摄像头采集柚子正立图像,通过数字图像处理技术获取柚子的纵径、横径、表面积及体积等外观尺寸参数.借鉴已有球状水果机器视觉检测误差理论,对检测数据进行修正,提高检测精度,并应用Matlab/GUI技术建立柚子外观尺寸测量系统界面.实验表明,检测系统具有较高的检测精度,可满足实际生产中柚子分级精度的要求,且人机交互界面友好,使用操作方便.     

An m-health application for cerebral stroke detection and monitoring using cloud services

Over 25 million people suffered from cerebral strokes in a span of 23 years. Many systems are being developed to monitor and improve the life of patients that suffer from different diseases. However, solutions for cerebral strokes are hard to find. Moreover, due to their widespread utilization, smartphones have presented themselves as the most appropriate devices for many e-health systems. In this paper, we propose a cerebral stroke detection solution that employs the cloud to store and analyze data in order to provide statistics to public institutions. Moreover, the prototype of the application is presented. The three most important symptoms of cerebral strokes were considered to develop the tasks that are conducted. Thus, the first task detects smiles, the second task employs voice recognition to determine if a sentence is repeated correctly and, the third task determines if the arms can be raised. Several tests were performed in order to verify the application. Results show its ability to determine whether users have the symptoms of cerebral stroke or not.     

入侵检测系统研究

文章介绍入侵检测系统的概况、分类，说明安装入侵检测系统是提高网络安全的有效手段，分析现有入侵检测系统的不足及针对入侵检测系统的反入侵检测的技术，指出今后入侵检测系统将朝智能化方向发展。     

基于主题相关分析的跨学科主题发现方法及实证研究——以动物资源与育种领域为例

[目的/意义] 针对单学科和双学科主题发现方法无法挖掘现有交叉文献中主题演化来源的问题,提出面向跨学科的主题发现方法,为跨学科发展和合作提供依据。[方法/过程] 首先在动物资源与育种领域期刊文献数据中选取已经出现交叉现象的两个基础学科文献及其交叉文献,使用改进的主题相关分析方法,提取共同主题和各自的独立主题;然后利用相关性测度方法量化不同学科独立主题的相关性;最后对共同主题和相似性较高的独立主题进行具体分析。[结果/结论] 在动物资源与育种领域的农学生殖生物学、兽医学以及其交叉文献上进行实验验证,结果表明所提出的方法能够有效发现交叉主题的学科出处。     

基于DBSCAN算法与句间关系的热点话题发现研究

[目的/意义] 在大数据时代面对海量的数据用户有时会束手无策。因此,越来越多的学者们开始关注互联网热点话题发现的算法,帮助用户快速获取热点话题。[方法/过程] 基于DBSCAN算法,通过动态调整参数来优化算法,实现热点话题发现。根据句法结构与句间关系分析构建热点话题过滤模型,过滤包含热点词项的一般话题。[结果/结论] 采用主流网站新闻数据集进行实验,利用错检率、漏检率等评价指标对算法的有效性进行检验,实验结果证明改进算法性能有所提升,能够为信息用户提供科学研究网络数据的高效途径。     

基于在线单类支持向量机的自适应语音活动检测

针对非平稳噪声环境下的语音活动检测问题,提出了基于在线单类SVM的自适应语音活动检测算法。该算法采用单类SVM对多种特征信息进行在线学习与综合,为非平稳背景噪声建模,并采用双层决策机制,能有效提高语音活动检测的稳健性。在语音识别系统中的实验结果表明,算法在多种噪声环境和信噪比条件下有效,并明显提高了在非平稳噪声环境下的识别率。