声目标识别技术研究

本文对声目标识别的关键技术进行研究,探讨用小波分析来进行声信号处理和特征提取,用BP神经网络和支持向量机的模式分类方法来进行分类识别.通过对四种声信号的仿真实验表明,使用小波变换和人工神经网络技术及支持向量机分类技术相结合对声目标进行识别是有效、可行的.     

运用向量构造辅助函数证明拉格朗日中值定理

文章从拉格朗日中值定理的几何意义出发,通过几何直观,利用向量运算构造适合罗尔中值定理条件的辅助函数,应用罗尔中值定理得到了拉格朗日中值定理的简捷证明。     

An efficient page ranking approach based on vector norms using sNorm(p) algorithm

In the whole world, the internet is exercised by millions of people every day for information retrieval. Even for a small to smaller task like fixing a fan, to cook food or even to iron clothes persons opt to search the web. To fulfill the information needs of people, there are billions of web pages, each having a different degree of relevance to the topic of interest (TOI), scattered throughout the web but this huge size makes manual information retrieval impossible. The page ranking algorithm is an integral part of search engines as it arranges web pages associated with a queried TOI in order of their relevance level. It, therefore, plays an important role in regulating the search quality and user experience for information retrieval. PageRank, HITS, and SALSA are well-known page ranking algorithm based on link structure analysis of a seed set, but ranking given by them has not yet been efficient. In this paper, we propose a variant of SALSA to give sNorm(p) for the efficient ranking of web pages. Our approach relies on a p-Norm from Vector Norm family in a novel way for the ranking of web pages as Vector Norms can reduce the impact of low authority weight in hub weight calculation in an efficient way. Our study, then compares the rankings given by PageRank, HITS, SALSA, and sNorm(p) to the same pages in the same query. The effectiveness of the proposed approach over state of the art methods has been shown using performance measurement technique, Mean Reciprocal Rank (MRR), Precision, Mean Average Precision (MAP), Discounted Cumulative Gain (DCG) and Normalized DCG (NDCG). The experimentation is performed on a dataset acquired after pre-processing of the results collected from initial few pages retrieved for a query by the Google search engine. Based on the type and amount of in-hand domain expertise 30 queries are designed. The extensive evaluation and result analysis are performed using MRR, [email protected], MAP, DCG, and NDCG as the performance measuring statistical metrics. Furthermore, results are statistically verified using a significance test. Findings show that our approach outperforms state of the art methods by attaining 0.8666 as MRR value, 0.7957 as MAP value. Thus contributing to the improvement in the ranking of web pages more efficiently as compared to its counterparts.     

高性能电梯用无齿轮低速永磁同步电机控制系统的研究

本文根据低速永磁同步电动机的数学模型及矢量控制方法,在MATLAB/SIMULINK环境中对无齿轮电梯曳引传动系统进行了建模和仿真。仿真的结果表明所建立的模型是正确的,控制方法是可行的,为该电机控制系统的硬件参数设计提供了良好的理论依据。对一台样机进行了实验,实验结果表明其具有良好的低速平稳性,符合无齿轮电梯曳引系统对电机的要求。     

北京市政府采购促进科技成果转化的实证分析

我国政府提出实施创新驱动发展战略,强调科技成果转化对提高社会生产力以及推动经济转型的重要意义.利用北京市GDP、社会固定资产投资及劳动力数量得出反映科技成果转化水平的技术进步率,建立向量自回归模型(VAR),对北京市政府采购额、高技术产业科技活动人员和技术进步率3个变量的动态关系进行实证分析.研究表明,北京市政府采购对技术进步率和科技活动人员增加的贡献度分别达20.78％、40.28％,科技活动人员增加对技术进步率的贡献度达15.82％.可见,政府采购科技创新产品可促进科技成果转化、推动科技创新;通过引进高技术人才,优先采购本国服务,将对科技创新产生显著推动作用.为此,北京市政府应提高本国科技产品采购比重;将取得我国永久居留权的国外人才纳入本国服务提供者的自然人范畴,以记点积分系统、移民职业清单制度创造更优越的环境引进国外高技术人才,推动我国科技创新成果的转化.     

变时滞大系统的振动性理论及应用

本文将纯量时滞泛函微分方程解的振动性理论推广到时滞大系统;通过引进V函数,获得了线性及非线性变时滞大系统振动的充分条件。     

Particle Swarm Optimization based predictive control of Proton Exchange Membrane Fuel Cell （PEMFC）

INTRODUCTION Fuel cells have attracted more attention in the last few years due to scarcity of the world energy source. The Proton Exchange Membrane Fuel Cell (PEMFC) is the focus of current development efforts because it is capable of higher power density and faster start-up than other fuel cells (Zhang et al., 2004). Research emphasis is on high power density with adequate energy conversion efficiency. PEMFC performance is related to many factors, among which electrolyte membrane …     

HMM在说话人识别系统中的实现

介绍了隐马尔可夫模型及其主要解决的3个基本问题,以及在说话人识别系统中实现的基本过程,并对256和512码本、文本相关与文本无关进行比对,得出文本相关的识别率更高的结论并分析了其原因。     

向量空间与欧氏空间的对比讨论

向量空间与欧氏空间是《高等代数》的两部分重要内容,两者之间既有区别又有联系.从它们的基础域、运算、基、向量的坐标、过渡矩阵、线性变换和子空间7个方面进行对比讨论.     

用向量的数量积解决的问题

介绍了用向量的数量积解决垂直、解方程组、证明等式与不等式、求长度、求角、判断多边形形状、求参数的范围等问题的方法。