媒体处理器视频哈夫曼解码快速算法

为了提高视频处理中哈夫曼解码的性能,从减少比特操作、提高处理器内存利用率的角度出发,设计了2种不同的数据结构进行哈夫曼码表的组织,提出了一种新的并行分步查表算法,对Ishii的并行查表法进行了改进.实验结果表明,采用新算法及其内存优化策略,以哈夫曼解码性能较少下降的代价,内存开销得到大幅降低.新算法比常用的分步查表算法的解码效率有较大提升,对MPEG系列、H.26X系列等视频压缩标准具有普适性.     

基于DSP的全数字进给驱动系统研究

介绍了一种基于DSP的无位置传感器无刷直流电动机全数字数控系统。该系统充分利用了DSP端口资源丰富，运算速度快的特点，使系统结构简单、有效。实验表明系统获得了良好的控制性能。     

PWM电液比例放大器的研制

本文讨论用单片机构成PWM电液比例放大器的硬件和软件设计。该放大器能寻优PWM的频率,能补偿校正比例电磁铁固有的滞回,能输出多种时间——电流波形,对流过电磁铁的电流进行PID闭环控制。具有结构简单、调试方便、功耗小、成本低廉的优点。     

基于DSP与MCU通信的数字化焊机实时控制系统

用TMS320F240数字信号处理器和AT89C2051单片机的双CPU(Center proces-sor unit)系统解决了数字化TIG焊机多任务控制系统的时间分配问题；这种双CPU控制系统的关键在于任务的分配、双CPU任务之间的速度匹配以及双CPU之间的有效通信；分析了这种双CPU系统的通信模式，提出了适合于焊机控制系统的软协议异步通信模式；针对作者目前研究的数字化TIG焊机，全方位地提出了多任务的控制系统，分析了硬件部分原理和软件部分工作原理，指出了这种以数字信号处理器(DSP)为核心的双机甚至多机通信的实时控制系统对焊机实现数字化、信息化的优越性。     

A study of tailored blank welding between mild steel sheet and zn-coated steel sheet by CO2 laser beam

Research was conducted on tailored blank welding between mild steel sheet and Zn-coated steel sheet using CO₂ laser beam. The materials used in this study were low carbon steel sheets with a thickness of 1.2 mm and Zn-coated steel sheet with the same thickness and 6.3 μm Zn coating. Experiments were conducted by applying the Taguchi method to obtain optimum conditions for the application of this tailored blank laser welding method in practical manufacturing processes. Optical microscopy, XRD, SEM and TEM analysis were performed to observe the microstructures and to determine the structures of welded zone. In addition, mechanical properties were measured by the microhardness test, tensile test and Erichsen test to evaluate the formability of the welded specimen. There was no trapped Zn in the fusion zone, and the phases of this region consisted of polygonal ferrite, quasi-polygonal ferrite, banitic ferrite and martensite. The elongation value of welded specimen was more than 80% of the value in substrate metal, and the LDH value was more than 90% of the value in substrate metal.     

Banding formation and eutectic lamellar growth in directional solidified Ni50Al20Fe30 alloy

Banding formation and eutectic lamellar growth in a directionally solidified Ni₅₀Al₂₀Fe₃₀ alloy were investigated. It was found that the banding area consists of two layers. The first layer is a γ layer, while the subsequent one is a γ layer. The composition of various phases around the banding area changes with the solidification process. The banding is formed by two steps process and caused by factors such as the fractions during the sample growth process. It was found that the band was found at relatively low growth rate. Therefore. this study indicates that increasing the growth rate is an effective method to eliminate the band formation. Eutectic lamellae nucleate and grow again after the banding formation. During the initial transition lamellar growth, the relationship between the square lamellar spacing, γ₂, and the distance from, the banding, d, can be described by the following equation: γ₂ = K [1-exp(A.d)] where K and A are constant.     

Students' mathematics word problem‐solving achievement in a computer‐based story

The purpose of this study was to investigate the effect of a computer‐based story, which was designed in anchored instruction framework, on sixth‐grade students' mathematics word problem‐solving achievement. Problems were embedded in a story presented on a computer as computer story, and then compared with the paper‐based version of the same story and to a condition that presented the problems as typical, isolated word problems (i.e., a non‐story condition including only problems). One hundred twenty‐eight sixth‐grade students from two public middle schools in Turkey participated in this study. In a pretest–posttest experimental design, students were randomly assigned to one of the treatment groups mentioned earlier in which they solved the same mathematics word problems. A one‐way analysis of covariance was used to analyse students' achievement in the treatment groups. The results indicated that students who solved the problems in the computer story treatment had significantly higher achievement scores than students who solved the problems in the paper story and isolated word problems treatments. In addition, the story was found to be significantly more effective than the non‐story treatment when it was presented on computer.     

面向维吾尔文的多模式匹配算法研究

维吾尔文多模式匹配算法是影响维吾尔文关键词过滤和检测性能的关键步骤之一.为此,考虑维吾尔文语法特点、书写方式、字母变换形式、特殊字母等因素,提出一种基于维吾尔文音节划分的多模式匹配算法.通过Bohum-sani函数的维吾尔语音节分解方法计算字符串音节数,利用Bohum-xekli函数得到字符串音节结构,按语法特点从右至左方式进行模式比较,实现维吾尔文多模式匹配.实验结果表明,与现有模式匹配算法相比,该算法具有更高的匹配效率.     

基于分层选择策略的主动学习分词方法

为了克服训练样本不足、获取大量标注样本费时费力的问题,在基于不确定选择策略的基础上,提出了一种新的基于分层选择策略的主动学习方法。使用新提出的选择策略从大量无标注的样本中选择最有价值的样例,进行标注后加入到训练集中来训练分词器。最后在 PKU、MSR 和山西大学数据集上进行测试,并与不确定选择策略进行比较。结果表明提出的分层选择策略在相同大小的训练语料下可以获得更高的分词准确率,同时还降低了人工标注的代价。     

网络敏感信息自适应多重过滤模型研究

敏感信息过滤是既重要又复杂的任务.针对当前一些敏感信息过滤模型所存在的时间滞后、准确性低、自适应性差等问题,提出了一个敏感信息自适应多重过滤模型.该模型以互联网中文文本媒体为研究对象,采用意见挖据、机器学习、高性能计算和自然语言处理等技术,从整体和语义角度自适应识别敏感信息.对敏感信息自适应多重过滤模型的研究将为舆情监控、商业智能、辅助决策等应用系统开发提供技术支持.