用VB开发Duffing方程混沌动力学系统仿真软件

基于Lisual Basic6.0编制了杜芬（Duffing)方程混沌特性分析的仿真软件,利用该软件不仅可方便地显示该系统在相空间上的轨迹线图,而且可绘制时程曲线图、幅频图和庞加菜（Poincare)截面图等。软件操作简便,运行可靠。     

组播技术在数字视音频监控系统中的应用

IP组播技术是九十年代初发展起来的网络传输新技术。本文主要介绍了组播技术的基本原理,描述其机制与特点,并具体说明了组播技术在数字视音频监控系统中的应用方法和实现过程。     

嵌入式远程节电控制器的设计

用嵌入式微处理器通过继电器及互感器测控远端的用电设备,满足个性化设计要求,实现了智能供电.并把P2P技术和嵌入式网关相结合,拓展了嵌入式网关应用平台,使不同局域网内的测控节点实现点对点实时通信.     

基于PLC的畜牧垃圾处理系统的开发

设计用可编程序控制器(PLC)实现畜牧无害化处理系统的自动化生产.主要介绍了高温高压大罐处理系统这一核心生产过程.介绍了系统构成和工艺流程,给出了部分系统流程图及提高安全生产的各项措施.该系统采用模糊PID算法,控制精度高,可靠性好,自动化程度高,在实际应用中取得了很好的效果.满足了实际生产的需要.     

基于linux的数据采集及在QT界面的显示

针对ARM平台设计LVDT位移传感器的接入电路,并在LINUX操作系统下编写传感器电路的驱动程序:提出一种在嵌入式QT界面中对模,数转换后的数据的读取方法.最终程序可以很好地运行在开发板上.验证了软、硬件的有效性和可靠性.该功能已经成功应用于某嵌入式智能测量仪器中.     

Locality-preserved maximum information projection.

Dimensionality reduction is usually involved in the domains of artificial intelligence and machine learning. Linear projection of features is of particular interest for dimensionality reduction since it is simple to calculate and analytically analyze. In this paper, we propose an essentially linear projection technique, called locality-preserved maximum information projection (LPMIP), to identify the underlying manifold structure of a data set. LPMIP considers both the within-locality and the between-locality in the processing of manifold learning. Equivalently, the goal of LPMIP is to preserve the local structure while maximize the out-of-locality (global) information of the samples simultaneously. Different from principal component analysis (PCA) that aims to preserve the global information and locality-preserving projections (LPPs) that is in favor of preserving the local structure of the data set, LPMIP seeks a tradeoff between the global and local structures, which is adjusted by a parameter alpha, so as to find a subspace that detects the intrinsic manifold structure for classification tasks. Computationally, by constructing the adjacency matrix, LPMIP is formulated as an eigenvalue problem. LPMIP yields orthogonal basis functions, and completely avoids the singularity problem as it exists in LPP. Further, we develop an efficient and stable LPMIP/QR algorithm for implementing LPMIP, especially, on high-dimensional data set. Theoretical analysis shows that conventional linear projection methods such as (weighted) PCA, maximum margin criterion (MMC), linear discriminant analysis (LDA), and LPP could be derived from the LPMIP framework by setting different graph models and constraints. Extensive experiments on face, digit, and facial expression recognition show the effectiveness of the proposed LPMIP method.     

Visualization of myocardial perfusion derived from coronary anatomy

Visually assessing the effect of the coronary artery anatomy on the perfusion of the heart muscle in patients with coronary artery disease remains a challenging task. We explore the feasibility of visualizing this effect on perfusion using a numerical approach. We perform a computational simulation of the way blood is perfused throughout the myocardium purely based on information from a three-dimensional anatomical tomographic scan. The results are subsequently visualized using both three-dimensional visualizations and bull's eye plots, partially inspired by approaches currently common in medical practice. Our approach results in a comprehensive visualization of the coronary anatomy that compares well to visualizations commonly used for other scanning technologies. We demonstrate techniques giving detailed insight in blood supply, coronary territories and feeding coronary arteries of a selected region. We demonstrate the advantages of our approach through visualizations that show information which commonly cannot be directly observed in scanning data, such as a separate visualization of the supply from each coronary artery. We thus show that the results of a computational simulation can be effectively visualized and facilitate visually correlating these results to for example perfusion data.     

Human pathogenic streptococcal proteomics and vaccine development

Gram-positive streptococci are non-motile, chain-forming bacteria commonly found in the normal oral and bowel flora of warm-blooded animals. Over the past decade, a proteomic approach combining 2-DE and MS has been used to systematically map the cellular, surface-associated and secreted proteins of human pathogenic streptococcal species. The public availability of complete streptococcal genomic sequences and the amalgamation of proteomic, genomic and bioinformatic technologies have recently facilitated the identification of novel streptococcal vaccine candidate antigens and therapeutic agents. The objective of this review is to examine the constituents of the streptococcal cell wall and secreted proteome, the mechanisms of transport of surface and secreted proteins, and describe the current methodologies employed for the identification of novel surface-displayed proteins and potential vaccine antigens.     

基于Softbase的Web Server分析与设计

分析了Web Server的一般结构及功能特点,设计了一种基于Softbase安全数据库系统的Web Server。