Excel和Word在高校就业管理工作中的应用

高校的就业部门人员少,工作量大,重复性工作多。Microsoft Excel和Word是大家比较熟悉的软件,Excel着重对数据的处理,而Word着重对文字的处理,把他们结合起来使用,可以批量地处理数据。该文介绍了利用Excel和Word在高校就业管理工作中的具体应用,提出了邮件合并在高校就业工作中应用的具体措施。     

Knowledge-based sense disambiguation (almost) for all structures

Structural disambiguation is acknowledged as a very real and frequent problem for many semantic-aware applications. In this paper, we propose a unified answer to sense disambiguation on a large variety of structures both at data and metadata level such as relational schemas, XML data and schemas, taxonomies, and ontologies. Our knowledge-based approach achieves a general applicability by converting the input structures into a common format and by allowing users to tailor the extraction of the context to the specific application needs and structure characteristics. Flexibility is ensured by supporting the combination of different disambiguation methods together with different information extracted from different sources of knowledge. Further, we support both assisted and completely automatic semantic annotation tasks, while several novel feedback techniques allow us to improve the initial disambiguation results without necessarily requiring user intervention. An extensive evaluation of the obtained results shows the good effectiveness of the proposed solutions on a large variety of structure-based information and disambiguation requirements.     

Text line and word segmentation of handwritten documents

In this paper, we present a segmentation methodology of handwritten documents in their distinct entities, namely, text lines and words. Text line segmentation is achieved by applying Hough transform on a subset of the document image connected components. A post-processing step includes the correction of possible false alarms, the detection of text lines that Hough transform failed to create and finally the efficient separation of vertically connected characters using a novel method based on skeletonization. Word segmentation is addressed as a two class problem. The distances between adjacent overlapped components in a text line are calculated using the combination of two distance metrics and each of them is categorized either as an inter- or an intra-word distance in a Gaussian mixture modeling framework. The performance of the proposed methodology is based on a consistent and concrete evaluation methodology that uses suitable performance measures in order to compare the text line segmentation and word segmentation results against the corresponding ground truth annotation. The efficiency of the proposed methodology is demonstrated by experimentation conducted on two different datasets: (a) on the test set of the ICDAR2007 handwriting segmentation competition and (b) on a set of historical handwritten documents.     

Word level bitwidth reduction for unbounded hardware model checking

In this paper we present a word-level model checking method that attempts to speed up safety property checking of industrial netlists. Our aim is to construct an algorithm that allows us to check both bounded and unbounded properties using standard bit-level model checking methods as back-end decision procedures, while incurring minimum runtime penalties for designs that are unsuited to our analysis. We do this by combining modifications of several previously known techniques into a static abstraction algorithm which is guaranteed to produce bit-level netlists that are as small or smaller than the original bitblasted designs. We evaluate our algorithm on several challenging hardware components.     

Remoting技术在工业远程测控系统中的应用研究

在工业分布式测控通信系统中,Microsoft.NET Remoting技术可以在应用程序内部或应用程序域之间传输数据.采用Remoting技术结合二进制流的方法,通过远程对象和数据接口的建立,以及服务器端和客户端的设置,可以在软件各个结构层之间进行快速高效的远程对象访问,达到实时控制的目的.该方案使测控仪表具有更好的开放性和可集成能力,有一定的参考和实用价值.     

基于维基百科的自动词义消歧方法

针对传统词义消歧仅基于上下文语境而导致准确率低的问题,提出一种多策略的无监督自动词义消歧方法。利用从维基百科在线中提炼出的丰富语义知识,线性融合上下文语境、背景知识和语义信息3大特征,根据逻辑回归算法学习各特征的权重,选取最大融合值所对应的候选项作为最优词义。在SENSEVAL数据集上取得了85．50％的平均准确率,验证了该方法的有效性。     

基于最大熵模型的汉语词义消歧与标注方法

分析最大熵模型开源代码的原理和各参数的意义,采用频次和平均互信息相结合特征筛选和过滤方法,用Delphi语者编程实现汉语词义消歧的最大熵模型,运用GIS（Generalized Iterative Scaling）算法计算模型的参数。结合一些语占知识规则解决训练语料的数据稀疏问题,所实现的汉语词义消歧与标注系统,对800多个多义词进行词义标注,取得了较好的标注正确率。     

Computing maximal-exponent factors in an overlap-free word

The exponent of a word is the quotient of its length over its smallest period. The exponent and the period of a word can be computed in time proportional to the word length. We design an algorithm to compute the maximal exponent of all factors of an overlap-free word. Our algorithm runs in linear-time on a fixed-size alphabet, while a naive solution of the question would run in cubic time. The solution for non-overlap-free words derives from algorithms to compute all maximal repetitions, also called runs, occurring in the word.We also show there is a linear number of occurrences of maximal-exponent factors in an overlap-free word. Their maximal number lies between 0.66n and 2.25n in a word of length n. The algorithm can additionally locate all of them in linear time.     

大规模隐式反馈的词向量音乐推荐模型

现有音乐推荐系统在大规模隐式反馈场景下存在推荐困难的问题,提出大规模隐式反馈的词向量音乐推荐模型（Word-Embedding Based Implicit Music Recommender）.本模型借鉴了自然语言处理领域的Word2Vec技术,通过学习用户音乐收藏播放记录里的歌曲共现信息,获得用户、音乐在分布式空间的低维、紧致的向量表示,从而得到用户、音乐之间的相似度进行推荐,并且在理论上论述了Word2Vec技术应用在推荐系统上的正确性.该模型在保证准确率和召回率几乎不变的同时,收敛速度快,占用内存小,试验结果表明该模型有效的解决了大规模隐性反馈场景下音乐推荐困难的问题.     

JavaEE的Web页面中操纵Word报表

基于Java EE的报表项目,介绍JavaEE的动态页面中利用Word生成报表的方法,描述了Web页面中嵌入Word,并把数据库中取出的数据封装为JSON格式,定位地填充到Word中指定的位置。