基于分组划分的形态学异联想记忆研究

在输入模式无噪声的情况下,形态学异联想记忆不能够保证完全回忆记忆,针对这个瑕疵,提出了一种新的思路和方法——分组划分.该方法将原有输入模式对进行分组,逐一对分组后的模式对集合进行形态学操作计算,由局部到整体,进而实现形态学异联想记忆的完全回忆记忆.     

基于FPGA面向多媒体处理的MPSoC

针对嵌入式单核处理器处理速度慢及主频提升受限等问题,提出了嵌入式双核处理器(two-cores embedded processor,TEP)模型.针对处理器运行时对存储器的依赖和分配问题,提出了基于非统一存储结构模拟分布式存储结构的方案;针对多核间对共享数据存储器的访存问题,给出了从属单元的仲裁机制,实现了共享资源的访问;针对面向多媒体应用的多核处理器间传输数据量大及通讯开销高的问题,提出了基于消息数据分离的传输方案.系统在FPGA平台进行了实现和验证,测试结果表明,TEP系统以较少的资源消耗和通讯开销获得了大加速比的性能.     

Academic achievement with cooperative learning using homogeneous and heterogeneous groups

Cooperative learning is a proven teaching strategy that teachers have been using for over 40 years. Teachers often group students heterogeneously so that students who are lower achieving are learning with and from higher achieving students. The purpose of this study was to test homogeneous and heterogeneous grouping while using cooperative learning teaching structure. This study aimed to answer the question of whether students be grouped homogeneously or heterogeneously while participating in cooperative learning. The primary research design for this study was a quasi-experimental nonequivalent control-group design. A convenience sample of fifth-grade students was drawn from a Georgia elementary school in the 2017–2018 school year. The data were analyzed using analysis of covariance (ANCOVA) and paired samples t tests. The ANCOVA was run to compare the scores from the FOSS Survey/Posttest, and the analysis showed no significant difference between the homogeneous and heterogeneous group posttest scores. Both groups made significant gains (as shown by the results of the paired samples t-tests).     

基于路由器的ICMP流量异常检测

针对使用ICMP(Internet ControlM essage Protocol)协议的网络病毒对网络性能影响日益严重的问题,利用路由器所处网络位置的优势,对流经路由器的ICMP数据包进行分析、统计,从中找出感染病毒主机的IP地址,并对其进行相应处理。经过实际应用结果表明,使用该方法可较为彻底地杜绝网络中ICMP数据包的大量泛滥,从而提高了网络的有效传输带宽。     

有时间窗装卸问题的多策略分组编码遗传算法

根据有时间窗装卸问题(PDPTW)的数学模型,设计了多策略分组编码遗传算法,将禁忌思想用于产生可行解的启发式插入算法之中,对计算实例进行了求解,结果表明,此算法可以有效求得有时间窗装卸问题的近似最优解.     

A Markov Chain Monte Carlo comparison of variance estimators for the sampling of particulate mixtures

During the sampling of particulate mixtures, samples taken are analyzed for their mass concentration, which generally has non‐zero sample‐to‐sample variance. Bias, variance, and mean squared error (MSE) of a number of variance estimators, derived by Geelhoed, were studied in this article. The Monte Carlo simulation was applied using an observable first‐order Markov Chain with transition probabilities that served as a model for the sample drawing process. Because the bias and variance of a variance estimator could depend on the specific circumstances under which it is applied, Monte Carlo simulation was performed for a wide range of practically relevant scenarios. Using the ‘smallest mean squared error’ as a criterion, an adaptation of an estimator based on a first‐order Taylor linearization of the sample concentration is the best. An estimator based on the Horvitz–Thompson estimator is not practically applicable because of the potentially high MSE for the cases studied. The results indicate that the Poisson estimator leads to a biased estimator for the variance of fundamental sampling error (up to 428% absolute value of relative bias) in case of low levels of grouping and segregation. The uncertainty of the results obtained by the simulations was also addressed and it was found that the results were not significantly affected. The potentials of a recently described other approach are discussed for extending the first‐order Markov Chain described here to account also for higher levels of grouping and segregation. Copyright © 2013 John Wiley & Sons, Ltd.     

基于XML总线技术的EAI应用研究

在微软的.net平台上设计并实现了一个企业应用集成数据总线,提供了以WebServices为封装方式,以XML格式的文本作为数据载体的数据接口,实现了一个轻量级的应用集成框架。     

S12交换机EC7.4版用户分组

从源的分析、字冠分析、任务单元定义3个方面,阐述了S12交换机EC7.4版的用户分组问题。     

非相参三点源有源诱偏下反辐射导弹落点分布研究

多点源诱偏技术是对抗反辐射导弹（ARM）的有效手段．以ARM攻击过程的二分组理论和双点源诱偏的仿真结果为依据,对等功率三点源诱偏的2种经典布局ARM落点整体分布进行分析和预测．通过对仿真所得ARM落点图及其几何处理结果进行对照分析,验证了这种分析和预测的正确性,为通信辐射源附近的物资、人员的布设提供一定的参考．