Building a Language‐Independent Discourse Parser using Universal Networking Language

Discourse parsing has become an inevitable task to process information in the natural language processing arena. Parsing complex discourse structures beyond the sentence level is a significant challenge. This article proposes a discourse parser that constructs rhetorical structure (RS) trees to identify such complex discourse structures. Unlike previous parsers that construct RS trees using lexical features, syntactic features and cue phrases, the proposed discourse parser constructs RS trees using high‐level semantic features inherited from the Universal Networking Language (UNL). The UNL also adds a language‐independent quality to the parser, because the UNL represents texts in a language‐independent manner. The parser uses a naive Bayes probabilistic classifier to label discourse relations. It has been tested using 500 Tamil‐language documents and the Rhetorical Structure Theory Discourse Treebank, which comprises 21 English‐language documents. The performance of the naive Bayes classifier has been compared with that of the support vector machine (SVM) classifier, which has been used in the earlier approaches to build a discourse parser. It is seen that the naive Bayes probabilistic classifier is better suited for discourse relation labeling when compared with the SVM classifier, in terms of training time, testing time, and accuracy.     

Structured and unstructured discussion forums as tools for student engagement

Online discussion forums as teaching tools are becoming increasingly popular in college classrooms. The manner in which they are designed (and in particular, the amount of structure imposed) can affect how engaging of an activity it is for students. The current study analyzed responses to structured and unstructured discussion forums to determine how each impacted student engagement (specifically by studying the use of feedback, modeling, and empowerment). Results found students to respond positively to both forums, but structured forums were generally perceived to be more engaging. The nature of “structure” in forums is discussed, as well as how it can be manipulated to promote student engagement.     

交-直-交变频调速器在连轧型钢主传动中的应用

该文介绍变频器在型钢连轧机主传动系统中的应用。在我国,连轧中型钢材生产线屈指可数,轧机采用交流电动机的更是少之又少。交流电动机本身有着直流电动机所不具备的以下优点：没有电刷和换向器、结构简单、坚固耐用、经济可靠,不过因为其系一多变量、强耦合、非线性的时变系统,调速比较困难,随着电力电子技术的迅速发展和计算机控制技术以及现代控制理论的引人,交流调速系统才取得长足进步并得以广泛应用。     

Chord协议的改进双向路由表结构

在结构化P2P网络中有效快速地定位节点非常重要。Chord是结构化网络中一种比较成功的路由算法。但是Chord的路由表存在着一定的信息冗余,且只能从环的一个方向查询,对于后半环节点信息的查询支持不足,由此导致查询定位的效率不高。基于这种不足,本文提出了一种改进后的Chord路由表结构,将路由表中的冗余信息替换为反向环中部分节点信息,同时在路由表中增加剩余反向环的节点信息,由于利用了原表的冗余项,因此在不至于增加过多路由表项数的情况下实现了路由表的双向查找。仿真实验表明,改进后的路由表结构提高了查询效率。     

Comparing interpolation techniques for monthly rainfall mapping using multiple evaluation criteria and auxiliary data sources: A case study of Sri Lanka

Interpolating climatic variables such as rainfall is challenging due to the highly variable nature of meteorological processes, the effects of terrain and geography, and the difficulty in establishing a representative network of stations. While interpolation models are being adapted to include these effects, often the rainfall data contain significant gaps in coverage. In this paper, we evaluated rainfall data from an agro-ecological monitoring network for producing maps of total monthly rainfall in Sri Lanka. We compared four spatial interpolation techniques: inverse distance weighting, thin-plate splines, ordinary kriging, and Bayesian kriging. Error metrics were used to validate interpolations against independent data. Satellite data were used to assess the spatial pattern of rainfall. Results indicated that Bayesian kriging and splines performed best in low and high rainfall, respectively. Rainfall maps generated from the agro-ecological network were found to have accuracies consistent with previous studies in Sri Lanka.     

重载电力机车车体的设计与强度计算

针对自主设计研发的总功率为9600kW的6轴新型重载电力机车的突出问题,要解决在纵向牵引制动载荷增加的条件下,车体挠度明显增大、工作应力大大增加,同时又要合理减重.为此,利用ANSY有限元软件,针对新型重载电力机车的特点,首先借鉴国内外车体结构技术标准和重载机车的实际运行状态研究确定了机车的载荷工况,并对车体结构的强度和剐度进行了有限元分析;根据各种工况下应力的分布特点,并基于抗疲劳破坏的观点,分析了车体结构所存在的问题,并提出了相应的改进方案.比较分析的结果表明,改进方案既保证了车体的刚度与强度,又收到了比较明显的减重效果,是一种比较合理的改进结构.     

改进的OPTICS算法在调制识别中的应用

提出了一种基于星座聚类的调制识别新方法。该算法利用改进的OPTICS算法能准确发现数据集分布的特性,不仅克服了模糊C-均值聚类算法对初始聚类中心、样本输入次序敏感等不足,而且能够同时发现不同密度的聚类,结合聚类有效性分析实现了聚类中心目的自适应调整,同基于DBSCAN的聚类算法相比,降低了时间复杂度。将该算法用于对MPSK/MAPSK信号星座重构和识别,实验结果表明该方法是实际有效的。     

浅谈主流女性网站的页面设计

女性网站是针对女性群体的资讯门户,主要为女性提供前沿服饰、瘦身、休闲、娱乐、健康等生活咨询,体现现代都市女性热爱生活、展现自我的自信一面。文章旨在通过对典型女性网站网页设计的分析、解读各种页面元素,为女性网站的网页设计提供理论上的建议。     

面向微博话题传播的重要节点测量研究

为了发现在微博网络中对话题传播有巨大影响力的用户,从网络的拓扑结构出发,对微博平台上话题信息的传播进行了研究,测量了话题传播的网络拓扑结构,并利用紧密中心度和介数中心度对传播过程中参与的用户进行了影响力测量。根据测量分析结果,利用随机游走思想,将两种方法进行优化,计算出一个新的参数叫扩张比,用来评价用户在整个话题传播过程中的影响力,实验结果表明优化后的方法能够有效地发现整个网络中影响力最大的重要节点。研究结果有助于控制话题的传播过程,实现网络营销的利益最大化,以及提供研究个人影响力最大化问题新的思路。     

基于模型检测的信息流策略安全性分析

分布式信息流控制是增强系统安全的一种有效方法,但其灵活性也增加了策略管理和分析的复杂性。策略的安全性分析判定系统的所有可达状态是否都能保持特定的安全属性,可以验证策略是否一致完备的满足安全需求。形式化定义了基于Kripke结构和计算树时序逻辑的信息流策略安全性分析问题,验证信息流允许、禁止和授权管理三类信息流安全目标。提出了分支限界和模型检测两种策略验证算法,实验结果表明,算法可有效验证分布式信息流控制系统是否满足特定安全需求,提高了分布式信息流控制的可用性。