基于PMI-IR的联想词表构造方法研究

通过对大规模查询日志进行挖掘分析进而提高检索的准确率一直是信息检索领域的热点问题。文章提出一种基于PMI-IR（逐点互信息方法）的联想词表构造方法。该方法利用序列模式挖掘算法扫描大规模用户查询日志,获取共现频次超过某一阈值的词组合,进行聚类获取候选同义词集,然后依次计算词wordA与每个候选词的相似度,选择相似度高于某一阈值的词作为词wordA的联想词集,最后形成联想词表。实验表明,借助该方法得到的联想词表进行扩展查询提高了检索的准确率。     

问题引导自主探究，体验图像加工魅力--《我的海宝我做主》教学设计

教育科学出版社《信息技术基础》教材第五章第三节图像信息的采集与加工内容,重点为图像信息的采集与加工,而难点为图像的加工。学好本节内容,能够使学生对多媒体技术的处理方法和特点有更深的理解和认识,为以后的学习提供一个良好的开端。由于这部分知识较零散,但课时有限。因此,以往教学中,教师一般只用1～2课时的时间,大多直接使用教材案例,缺少阶梯型的细化任务。那么,在图像加工教学中不自觉地就陷入以工具软件体系为线索的“技术学习”,缺少人文精神的渗透,与新课程理念倡导的教学方式有一定差距。图像信息的加工内容实践性强,强调通过体验和感悟图像加工处理的操作与应用,渗透了多媒体技术处理的过程和方法,是培养学生的信息素养和正确的信息应用意识的好机会。     

The design and analysis of unequal error protection fountain coding for multiple source networks over binary erasure channels

A novel network model of multiple source fountain coding is developed and a novel class of generic multiple source fountain codes with unequal error protection(UEP)property is proposed.The And–Or tree analysis technique is generalized to analyze the asymptotic performance of the proposed codes and a joint optimization method employing both linear and nonlinear programs is developed to optimize the degree distributions.Furthermore,we propose three basic methods to achieve UEP property and the performance of each method is discussed.We employ these analytical results and optimization method to design and discuss several UEP codes with two and four sources for different application scenarios.Simulation results verify that the proposed codes can be applied to the networks with any number of sources and can provide strong UEP property in various ways based on the proposed three basic methods.     

Robust sparse principal component analysis

The model for improving the robustness of sparse principal component analysis（PCA） is proposed in this paper. Instead of the l2-norm variance utilized in the conventional sparse PCA model,the proposed model maximizes the l1-norm variance,which is less sensitive to noise and outlier. To ensure sparsity,lp-norm（0 p 1） constraint,which is more general and effective than l1-norm,is considered. A simple yet efficient algorithm is developed against the proposed model. The complexity of the algorithm approximately linearly increases with both of the size and the dimensionality of the given data,which is comparable to or better than the current sparse PCA methods. The proposed algorithm is also proved to converge to a reasonable local optimum of the model. The efficiency and robustness of the algorithm is verified by a series of experiments on both synthetic and digit number image data.     

辐射固化涂料

200707060防反射层用的可固化组合物;200707061透明、耐磨、耐划伤、辐射固化倍半硅氧烷涂料组合物，其保护层形成方法及其层压件;200707062在基材上制备交联有机涂膜的方法;200707063对金属、玻璃和塑料底材附着力优异的辐射固化树脂组合物;200707064丙烯酸酯型耐高温可UV固化的电缆护套.     

Guaranteed transient performance based control with input saturation for near space vehicles

This paper describes the design of guaranteed transient performance based attitude control for the near space vehicle(NSV)with control input saturation using the backstepping method.To improve the robust controllability of the NSV,the parameter adaptive method is used to tackle the integrated effect of unknown time-varying disturbance and control input saturation.Based on the backstepping technique and parameter estimated outputs,a robust attitude control scheme is proposed for the NSV with input saturation.A novel robust attitude control scheme is then proposed based on a prescribed performance bound(PPB)which characterizes the convergence rate and maximum overshoot of the attitude tracking error.The closed-loop system stability under both the developed robust attitude control schemes is proved using Lyapunov’s method and uniformly asymptotical convergence of all closed-loop signals is guaranteed.Finally,simulation results are given to show the effectiveness of both the proposed robust constrained attitude control schemes.     

Adaptive neural network control for a class of continuous stirred tank reactor systems

In this paper, the control problem of continuous stirred tank reactors （CSTR） is studied. The considered CSTR are required to contain unknown functions and unknown dead zone input. An adaptive controller that uses the neural networks （NNs） is provided to solve the unknown terms. The proposed approach overcomes the effect of the dead zone input. The dead zone input in the systems is compensated for by introducing a new Lyapunov form and Young＇s inequality. The backstepping procedure is exploited to implement controller design with adaptation laws. The stability is analyzed using Lyapunov method. The performance is examined for CSTR to confirm the effectiveness of the proposed approach based on computer simulation.     

从淀粉直接制备生物乙醇

从淀粉制备生物乙醇（bioethanol）的通用方法一般需把液态淀粉先转化成葡萄糖，再通过两步法生物催化。首先使用α-淀粉酶。经加水分解使成一个半缩醛，然后把剩余的糖甙键折断，使用葡糖糖化酶，使生成葡萄糖。最后用酵母发酵法，把葡萄糖转化成乙醇。不过。最近日本生物能公司在日本神户和京都等大学研究人员的帮助下。使用生物工程设计的酵母，可直接把淀粉发酵成乙醇。     

舰船装备维修性设计要求生成方法研究

针对目前舰船装备维修性设计要求与维修工程要求存在脱节的现象,通过采用基于维修历史数据挖掘的维修性要求生成方法,完善了维修性设计要求研究体系,切实形成维修性工程需求与维修性设计要求的技术闭环.一方面,解决了维修性设计要求无法解决装备中出现的实际维修困难的难题;另一方面,充分挖掘并利用装备的维修保障数据,可以为维修性设计研究提供设计方向及目标,从而生成更为科学和合理的维修性设计要求,便于将维修性需求落到实处.     

土建施工中的现场材料管理方法

随着经济市场的不断增长和人民生活水平的提高,对建设项目的要求也越来越高。土木工程是建筑工程的基础,为了获得更广阔的发展空间和经济效益,应在施工现场进行材料管理。物料管理的重点是整体物业管理,以最少的资金投入获得更多的经济效益。文章分析土建施工现场材料的管理方法,通过解决存在的问题,改进有效的材料管理方法。