基于多统计模型和人耳听觉特性的麦克风阵列后滤波语音增强算法

针对麦克风阵列后滤波语音增强算法的不足, 结合人耳的听觉掩蔽效应, 提出了改进的后滤波语音增强算法. 提出了最大化目标语音存在概率来确定信号子空间维度的方法, 在噪声子空间上, 利用条件概率估计出噪声功率谱. 基于人耳的听觉掩蔽效应, 提出了后滤波器的一种合理的设计方法. 实验证明, 所提的噪声估计方法比传统方法更加准确, 所提的后滤波算法比传统的后滤波算法更好, 在多项语音评价指标上, 都取得了更好的实验效果.     

BASE: A bacteria foraging algorithm for cell formation with sequence data

A cellular manufacturing system (CMS) is considered an efficient production strategy for batch type production. A CMS relies on the principle of grouping machines into machine cells and grouping parts into part families on the basis of pertinent similarity measures. The bacteria foraging algorithm (BFA) is a newly developed computation technique extracted from the social foraging behavior of Escherichia coli (E. coli) bacteria. Ever since Kevin M. Passino invented the BFA, one of the main challenges has been employment of the algorithm to problem areas other than those for which the algorithm was proposed. This research work studies the first applications of this emerging novel optimization algorithm to the cell formation (CF) problem considering the operation sequence. In addition, a newly developed BFA-based optimization algorithm for CF based on operation sequences is discussed. In this paper, an attempt is made to solve the CF problem, while taking into consideration the number of voids in the cells and the number of inter-cell travels based on operational sequences of the parts visited by the machines. The BFA is suggested to create machine cells and part families. The performance of the proposed algorithm is compared with that of a number of algorithms that are most commonly used and reported in the corresponding scientific literature, such as the CASE clustering algorithm for sequence data, the ACCORD bicriterion clustering algorithm and modified ART1, and using a defined performance measure known as group technology efficiency and bond efficiency. The results show better performance of the proposed algorithm.     

Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction

Fisher discriminant analysis gives the unsatisfactory results if points in the same class have within-class multimodality and fails to produce the non-negativity of projection vectors. In this paper, we focus on the newly formulated within and between-class scatters based supervised locality preserving dimensionality reduction problem and propose an effective dimensionality reduction algorithm, namely, Multiplicative Updates based non-negative Discriminative Learning (MUNDL), which optimally seeks to obtain two non-negative embedding transformations with high preservation and discrimination powers for two data sets in different classes such that nearby sample pairs in the original space compact in the learned embedding space, under which the projections of the original data in different classes can be appropriately separated from each other. We also show that MUNDL can be easily extended to nonlinear dimensionality reduction scenarios by employing the standard kernel trick. We verify the feasibility and effectiveness of MUNDL by conducting extensive data visualization and classification experiments. Numerical results on some benchmark UCI and real-world datasets show the MUNDL method tends to capture the intrinsic local and multimodal structure characteristics of the given data and outperforms some established dimensionality reduction methods, while being much more efficient.     

基于有线和无线设计的大型风电场通信系统

从运行的安全性和可靠性角度考虑,要求大型风电场具有完善的监控系统。在分析了现有风电场监控系统的有线和无线传输方式的优劣性基础上,针对有线介质不可预知的破坏可能和海上风电运行维护不便等问题,提出了一种以太网和地面无线测控网相结合的大型风电场监控通信系统。该系统满足大型风电场传递大量数据的要求,并能解决就地监控与中央监控之间的通信备份;同时还可实现远程监控、中央监控和就地监控之间实时、可靠和安全的通信。     

2009多国仪器仪表展览会流量仪表评估

简要介绍了2009年多国仪器仪表展览会(MICONEX2009)上流量仪表参展商概况、12大类参展流量仪表所占比例,并分析评述了展品及其亮点,如新流量测最原理的激光流量计,向小流量低流速方向延伸的超声流量计、超声热黾表和超声水表,能测量液体的MEMS(微机电系统)制的热式流量计,可代替机械式的MEMS家用/商用燃气表,高阶椭圆齿轮流量计等.     

基于窗函数的FIR数字滤波器的优化及Matlab实现

窗函数法是设计数字滤波器的一种方法。简要介绍了如何利用窗函数进行FIR数字滤波器的设计,以及分析各种不同窗形式对滤波器性能的影响。最后运用Matlab进行仿真比较。     

硬盘的数据恢复

人们在频繁使用存储设备的时候,数据丢失的现象时有发生。该文主要介绍数据丢失的原因,数据丢失的处理以及如何利用软件手段来恢复PC硬盘或U盘的数据。     

网络攻击与防范研究

随着信息时代的到来,越来越多的企业或个人逐步意识到信息安全防护的重要性。计算机网络、数据通信、电子商务、办公自动化等领域需要解决信息安全问题。如何保护企业或个人的信息系统免遭非法入侵？对目前计算机网络存在的网络攻击方法进行了分析,从发现正确的目标到执行攻击,并提出相应的防范措施。     

VLSM技术在IP地址管理中的应用

现阶段IPV4网络,由于Internet用户的飞速增长,接入点大量增加而造成了IP地址相对匮乏,同时由于分级地址管理,IP地址存在严重的浪费。本文针对这个问题在大型网络设计中使用VLSM和路由汇总等高级IP编址技术,可以有效减少IP地址的浪费,减小路由选择表,提高网络性能。     

基于LPC1100的温度检测网络节点设计

基于NXP公司LPC1100系列处理器设计了一种温度检测网络节点。介绍了网络系统的整个设计方案和温度检测网络节点的硬件设计,并给出功耗管理、温度传感器和ZigBee三个软件模块的具体软件设计方法。