Terahertz spectroscopic uncertainty analysis for explosive mixture components determination using multi-objective micro-genetic algorithm

In practical applications, many suspicious samples may be a kind of mixture and consist of various chemical components that make the spectral analysis difficult. Various explosives and related compounds (ERC) in the mixture can be identified and the concentration of each component can be estimated based on the known spectral data of the pure explosive components. In this paper, the terahertz spectroscopic uncertainty analysis using a micro-GA has been proposed, in which the random assignment of alleles from parents to offspring is implied. An intelligent computation-based technical road-map is also provided for the analysis and optimisation of the terahertz spectroscopic combination analysis. A simulation with two given test cases for the ERC has been devised. The results of the simulation show that micro-GA and its derivatives have the potential applications in the fields of security, medicine and food industry to fast identify mixtures.     

基于信息支持设备的电路板元器件定位软件开发

信息支持设备是一种便携式的辅助维修设备,具有处理能力强、人机交互界面好、屏幕分辨率高的特点。在此平台上,利用C#语言,针对故障电路板有无PCB格式两种类型电路图进行了元器件定位软件开发,为进一步检查和测试提供有用方位信息,大大缩短了维修时间。     

VLCC中的DAG并行算法

基于组件的密码学虚拟实验室（VLCC）采用有向无环图（DAG）的拓扑排序机制管理组件。在分析VLCC各组件之间的数据依赖和运行次序关系的基础上,提出一种新的基于Java多线程机制和“唤醒”机制的DAG并行算法。与拓扑排序算法相比,具有低算法时间复杂度的特点。实验结果表明,系统在新算法下较大地缩短了系统运行时间,提高资源使用效率和用户满意度,能更好地完善VLCC。     

An overview of the model integration process: From pre-integration assessment to testing

Integration of models requires linking models which can be developed using different tools, methodologies, and assumptions. We performed a literature review with the aim of improving our understanding of model integration process, and also presenting better strategies for building integrated modeling systems. We identified five different phases to characterize integration process: pre-integration assessment, preparation of models for integration, orchestration of models during simulation, data interoperability, and testing. Commonly, there is little reuse of existing frameworks beyond the development teams and not much sharing of science components across frameworks. We believe this must change to enable researchers and assessors to form complex workflows that leverage the current environmental science available. In this paper, we characterize the model integration process and compare integration practices of different groups. We highlight key strategies, features, standards, and practices that can be employed by developers to increase reuse and interoperability of science software components and systems.     

大规模分布式IDS中安全部件间互动的API设计

在大规模分布式入侵检测系统中,为了实现安全部件之间的互动而设计了一套统一的API。首先对API应用系统的基本结构进行了分析,然后描述了基于API的安全部件间的互动过程,最后对此API进行了详细的说明。     

一种聚类挖掘结果的可视化方法*

简要介绍了数据挖掘、聚类分析及多维数据可视化,提出将Kmeans算法输出的多维结果集通过主分量分析转换为3D空间点坐标,实现数据挖掘结果的可视化。     

基于CSCW技术的电子商务开发

本文介绍了 ＣＳＣＷ（Ｃｏｍｐｕｔｅｒ Ｓｏｐｐｏｒｔ Ｃｏｏｐｅｒａｔｉｖｅ Ｗｏｒｋ计算机支持的协同工作）技术的研究领域和发 展方向,以及它在电子商务方面的最新应用。对于如何把ＣＳＣＷ技术应用于网站建设作出了探讨。     

Dimensionality reduction for computer facial animation

This paper describes the usage of dimensionality reduction techniques for computer facial animation. Techniques such as Principal Components Analysis (PCA), Expectation-Maximization (EM) algorithm for PCA, Multidimensional Scaling (MDS), and Locally Linear Embedding (LLE) are compared for the purpose of facial animation of different emotions. The experimental results on our facial animation data demonstrate the usefulness of dimensionality reduction techniques for both space and time reduction. In particular, the EMPCA algorithm performed especially well in our dataset, with negligible error of only 1-2%.     

维规约技术综述

从属性选择和维变换两个方面对维规约技术进行了概括。首先对属性选择的基本思想和常用算法进行简要介绍；然后对维变换技术中的几种应用最广泛的方法进行了详细研究，主要包括主成分分析及其相关算法、独立成分分析、因子分析、投影寻踪等方法，简要给出了这些方法间的联系和区别，最后指出了维规约技术的现状和发展方向。