基于网络检测平台应对网络灾害探讨

网络灾害作为互联网给人类社会带来的各种潜在风险和负面效应之一,正在影响着社会各个行业。除了在网络安全技术、网络道德和相关法律等方面开展研究外,网络检测平台通过检测网络拓扑结构和其他网络动态属性,构建网络地图,可以为网络灾害的预防和控制提供相关依据。     

基于BSC-AHP的绩效评估模型研究与实现

为了解决企业战略目标执行难的问题,提升绩效评估合理性。笔者在深入研究现存理论和方法的基础上,采用平衡记分卡理论从企业战略目标中提取关键评估指标,并提出了用分解矩阵的方法将评估指标分解到各评估对象。最后引用层次分析法确定各指标权重。建立了引导、鼓励员工工作向有利于企业战略的执行与控制的绩效评估指标体系和评价模型。开发的系统在某印刷企业得到应用并取得良好效果,有效证明了模型的可行性和科学性。     

基于Linux平台PCI设备驱动程序设计

首先从FA卡的基本概念及其特点入手,并分析了PCI总线的基本工作原理,最后完成了一个以FA卡为对象设备的简单驱动程序的编写和调试工作。     

基于J2EE的新闻发布系统的分析与设计

本文针对J2EE技术进行深入研究,对Struts框架进行深入剖析,研究Struts框架的内部结构、运作流程,以及对MVC设计模式的分析研究和对MYSQL数据库进行深入了解,并提出了一个以J2EE为平台,使用Struts框架,引入MVC设计模式的基于J2EE的新闻发布系统。本系统提高了用户获取新闻信息的及时性,使用户能更...     

Speed up kernel discriminant analysis

Linear discriminant analysis (LDA) has been a popular method for dimensionality reduction, which preserves class separability. The projection vectors are commonly obtained by maximizing the between-class covariance and simultaneously minimizing the within-class covariance. LDA can be performed either in the original input space or in the reproducing kernel Hilbert space (RKHS) into which data points are mapped, which leads to kernel discriminant analysis (KDA). When the data are highly nonlinear distributed, KDA can achieve better performance than LDA. However, computing the projective functions in KDA involves eigen-decomposition of kernel matrix, which is very expensive when a large number of training samples exist. In this paper, we present a new algorithm for kernel discriminant analysis, called Spectral Regression Kernel Discriminant Analysis (SRKDA). By using spectral graph analysis, SRKDA casts discriminant analysis into a regression framework, which facilitates both efficient computation and the use of regularization techniques. Specifically, SRKDA only needs to solve a set of regularized regression problems, and there is no eigenvector computation involved, which is a huge save of computational cost. The new formulation makes it very easy to develop incremental version of the algorithm, which can fully utilize the computational results of the existing training samples. Moreover, it is easy to produce sparse projections (Sparse KDA) with a L ₁-norm regularizer. Extensive experiments on spoken letter, handwritten digit image and face image data demonstrate the effectiveness and efficiency of the proposed algorithm.     

Digital time‐modulation pixel memory circuit in LTPS technology

Abstract— A digital time‐modulation pixel memory circuit on glass substrate has been designed and verified for a 3‐μm low‐temperature polysilicon (LTPS) technology. From the experimental results, the proposed circuit can generate 4‐bit digital codes and the corresponding inversion data with a time‐modulation technique. While the liquid‐crystal‐display (LCD) panel operates in the still mode, which means the same image is displayed on the panel, a data driver for an LCD panel is not required to provide the image data of the frame by the proposed pixel memory circuit. This pixel memory circuit can store the frame data and generate its corresponding inversion data to refresh a static image without activating the data driver circuit. Therefore, the power consumption of a data driver can be reduced in the LCD panel.     

Spatial gamut mapping algorithms for cross‐display color reproduction

Abstract— Owing to the fast developments of computer networks and color imaging technologies, there is a tendency towards remote proofing in the printing or textile industries. More cases such as cross‐display color matching will occur in the future information society. The problems of color mismatching we usually find in cross‐display devices have been widely discussed today. In this paper, to achieve equivalent color matching between a sRGB monitor and an Adobe RGB monitor, the spatial gamut mapping algorithm (SGMA), which introduces sigmoidal tone mapping, multi‐mapping paths, and unsharp mask (USM) operation into a sRGB color‐management system, is proposed. According to the designs of USM locations, this proposed SGMA can be further developed into pre‐USM, post‐USM, and double‐USM types. Besides, two critical image characteristics, edge map and color histogram, are investigated to establish the relationship between image content and SGMA. The psychophysical experimental results show that double‐USM SGMA obtains better color matching than the other spatial types.     

Construction and basic performance tests of an underwater monitoring network

With the rapid development of the economy, environmental pollution has become one of the major problems in coastal areas and in cities along rivers. Real-time observations of the water quality along rivers have been considered to be an efficient way to control wastewater emission and manage environmental water quality. Traditional ways to observe the ocean environment, including satellite telemetry, radar, investigation ships, ocean observation stations, etc., are not applicable for water-quality observations along rivers because of their high cost, poor real-time information, low accuracy, and so on. Based on wireless sensor networks (WSN), the study reported here proposes a new observation system using underwater multisensory information. After processing the multisensory data from each sensor, the system transmits it to a hub node through WSN, and then transmits it to a land data center through a general packet radio service (GPRS) wireless network. In order to check the basic performance of this system, we completed a node positioning experiment based on a GPS module, and a communication experiment based on ZigBee. This article reports the design of the hardware and the experimental results.     

基于蚁群代理的无线自组网多路径优化算法的研究

在蚂蚁算法基本规则的启发下,基于移动Agent的分布式路由算法研究(AntNet)的基础上,设计出一种新的基于蚁群代理优化的无线自组网多路径优化的路由协议算法(AdHoc-AntNet).这是一种新的无线自组网的路由算法,其结合蚁群理论和无线自组网本身的特点,对AntNet进行了改进,从而建立更有效的、适合无线自组网的路由协议算法.通过仿真试验表明,与AODV相比该协议在路由开销、平均分组延迟和吞吐量等方面都有明显的改进.     

基于双起点十字搜索模型的自适应搜索算法

提出一种基于双起点十字搜索模型的自适应搜索算法。该算法采用大小十字搜索模型、八边形搜索模型和斜交叉十字搜索模型,根据不同情况,使用相应的搜索模型,同时采用中值预测及提前跳出策略,减少不必要的搜索。序列测试结果表明,与UMHexagonS算法相比,新算法在保持相当的峰值信噪比和比特率的情况下,运动估计时间平均节省了15.88%和15.94%。