基于FPGA的短波红外图像灰度级拉伸算法实现

为了增强短波红外成像仪的成像对比度,提高目标的识别率,介绍了一种基于现场可编程门阵列(FPGA)的灰度拉伸算法的实现方法。利用视频数据两帧之间灰度分布近似的特性,通过统计上一帧图像的灰度分布,计算图像拉伸所需要的参数,处理当前帧的图像,达到实时处理的效果。在灰度统计模块中,利用FPGA的片上块随机存储器(Block RAM)资源,采用非倍频的流水线数字逻辑设计,避免了跨时钟域的操作,降低了系统状态机的复杂度,提高了系统的工作频率。采用国产320×256元InGaAs面阵探测器,搭载了Xilinx Artix-7系列芯片的实验平台进行实验,仿真结果表明,该方法能有效提高短波红外图像的对比度,具有占用资源少、运算速度快、成本低、可移植性高等优点,满足短波红外成像仪实时灰度拉伸处理的设计要求。     

基于能量自采集的无线传感器网络网关切换机制研究

针对野外传感网系统中采用太阳能供电的网关因天气变化而产生能量供给失效的问题,研究了基于历史能量采集信息和实时气象信息的多网关切换方法。首先基于气象信息决定需要切换的网关和网关切换的时机;其次提出了一种网关选择算法(Easi GS),根据候选网关剩余工作时间让节点先验式选择网关接入,以避免网关失效带来的数据丢失问题,并通过最优网关接入方法降低系统中采集节点的整体能耗;最后根据实际应用关注的数据发送频率、网关恢复时间、节点与候选网关之间的传输距离等信息,通过概率统计的方法对Easi GS的计算开销进行了进一步优化。仿真实验表明,Easi GS能使系统整体能耗达到最优,并且优化后的Easi GS能够有效降低节点上的计算量。     

Revisiting Statistical Design and Analysis in Scientific Research

Statistics is essential to design experiments and interpret experimental results. Inappropriate use of the statistical analysis, however, often leads to a wrong conclusion. This concept article revisits basic concepts of statistics and provides a brief guideline of applying the statistical analysis for scientific research from designing experiments to analyzing and presenting the data.     

汽车铸件生产工时数理统计计算方法

采用多元非线性回归分析方法 ,对我国汽车铸造生产管理数据进行微机辅助分析 ,得出了铸件生产工时计算公式 ,编制了计算机辅助管理程序。     

支持IPv6的网络访问控制网关的设计与实现

如何使用户能够方便的访问互联网协议（IPv6）资源,同时有效地管理网络资源成为一个亟待解决的问题。重点研究了NetfiIter框架的运行机制和实现方法、iptables配置工具、网络端口地址转换一协议转换（NAPT-PT）技术和Linux内核模块编程方法,介绍了系统的总体设计目标及设计方案,描述了系统开发环境,阐述了各个模块的设计和模块之间的工作关系。并根据系统模块的划分,具体说明每个模块的功能及其实现的原理和流程。     

Information fusion for automotive applications – An overview

This article focusses on the fusion of information from various automotive sensors like radar, video, and lidar for enhanced safety and traffic efficiency. Fusion is not restricted to data from sensors onboard the same vehicle but vehicular communication systems allow to propagate and fuse information with sensor data from other vehicles or from the road infrastructure as well. This enables vehicles to perceive information from regions that are hardly accessible otherwise and represents the basis for cooperative driving maneuvers. While the Bayesian framework builds the basis for information fusion, automobile environments are characterized by their a priori unknown topology, i.e., the number, type, and structure of the perceived objects is highly variable. Multi-object detection and tracking methods are a first step to cope with this challenge. Obviously, the existence or non-existence of an object is of paramount importance for safe driving. Such decisions are highly influenced by the association step that assigns sensor measurements to object tracks. Methods that involve multiple sequences of binary assignments are compared with soft-assignment strategies. Finally, fusion based on finite set statistics that (theoretically) avoid an explicit association are discussed.     

基于搜索引擎的模糊字频统计

针对传统字频统计方法周期长、代价高的弱点,提出了一种利用互联网内容并借助搜索引擎检索进行汉字模糊字频统计的全新方法,有效利用了网络时代的相关技术和发展成果,在一定程度上缓解了字频统计需求频繁的和传统统计方法的低效且代价高昂之间的矛盾,同时对该方法进行了实例化的分析、验证和改进.     

基于卡方统计的应用协议流量行为特征分析方法

引入统计理论中的卡方统计检验,提出一种通用的应用协议流量行为特征分析方法——ABSA (application behavior significance assessment)。该方法不针对特定的应用协议,旨在提出描述各应用协议间行为测度分布差异情况的统一量化标准,使其可进行比较,从而判断各协议的流量行为特征,并评估相应的显著程度。理论分析及实验结果表明,ABSA方法不仅可以为协议识别提供更丰富、更准确的特征信息,优化协议识别的结果,而且保证特征显著程度的评估与协议样本在总样本中所占的比例无关,并可用于     

Inference for Weibull distribution under generalized order statistics

Based on generalized order statistics from Weibull distribution the approach of Bayesian and non-Bayesian estimation are discussed. We present a simple and efficient simulational algorithm for generating a generalized order statistics sample from any continuous distribution. Specializations to Bayesian and non-Bayesian estimators, some lifetime parameters and confidence intervals of progressive II censoring and record values are obtained and compared with the existing results. Two examples are given to illustrate the proposed estimators and the simulation algorithm.     

基于Linux平台的流量统计与异常检测系统的设计与实现

流量统计与异常检测技术具有广泛的应用前景,从一个实际的应用项目出发,针对Netflow流数据的生成、输出、采集、统计、检测等几个方面进行了大量深入的研究,并对统计结果的输出方式、监测算法的参数优化提出了改进。在此基础上,设计并实现了一个基于Linux平台的流量统计与异常检测系统。