调度信息在线交流平台的设计与应用

电网一体化调度预警及快速控制对信息支持服务提出了更高要求,而目前已有的信息系统对非调度指令数据支持较少,为此研究了一种调度信息在线交流平台。该平台依托电子发令系统,结合当前主流即时通信技术,实现了非调度指令信息的网络传输,并丰富了电网信息公告、调度系统对接、电网通信用户管理等功能。实践表明,交流平台可提高调度运行信息沟通的高效性与准确性,能有效保障电网安全稳定运行。     

Performance evaluation of density-based clustering methods

With the development of the World Wide Web, document clustering is receiving more and more attention as an important and fundamental technique for unsupervised document organization, automatic topic extraction, and fast information retrieval or filtering. A good document clustering approach can assist computers in organizing the document corpus automatically into a meaningful cluster hierarchy for efficient browsing and navigation, which is very valuable for complementing the deficiencies of traditional information retrieval technologies. In this paper, we study the performance of different density-based criterion functions, which can be classified as internal, external or hybrid, in the context of partitional clustering of document datasets. In our study, a weight was assigned to each document, which defined its relative position in the entire collection. To show the efficiency of the proposed approach, the weighted methods were compared to their unweighted variants. To verify the robustness of the proposed approach, experiments were conducted on datasets with a wide variety of numbers of clusters, documents and terms. To evaluate the criterion functions, we used the WebKb, Reuters-21578, 20Newsgroups-18828, WebACE and TREC-5 datasets, as they are currently the most widely used benchmarks in document clustering research. To evaluate the quality of a clustering solution, a wide spectrum of indices, three internal validity indices and seven external validity indices, were used. The internal validity indices were used for evaluating the within-cluster scatter and between cluster separations. The external validity indices were used for comparing the clustering solutions produced by the proposed criterion functions with the “ground truth” results. Experiments showed that our approach significantly improves clustering quality. In this paper, we developed a modified differential evolution (DE) algorithm to optimize the criterion functions. This modification accelerates the convergence of DE and, unlike the basic DE algorithm, guarantees that the received solution will be feasible.     

A multi-plane approach for text segmentation of complex document images

This study presents a new method, namely the multi-plane segmentation approach, for segmenting and extracting textual objects from various real-life complex document images. The proposed multi-plane segmentation approach first decomposes the document image into distinct object planes to extract and separate homogeneous objects including textual regions of interest, non-text objects such as graphics and pictures, and background textures. This process consists of two stages—localized histogram multilevel thresholding and multi-plane region matching and assembling. Then a text extraction procedure is applied on the resultant planes to detect and extract textual objects with different characteristics in the respective planes. The proposed approach processes document images regionally and adaptively according to their respective local features. Hence detailed characteristics of the extracted textual objects, particularly small characters with thin strokes, as well as gradational illuminations of characters, can be well-preserved. Moreover, this way also allows background objects with uneven, gradational, and sharp variations in contrast, illumination, and texture to be handled easily and well. Experimental results on real-life complex document images demonstrate that the proposed approach is effective in extracting textual objects with various illuminations, sizes, and font styles from various types of complex document images.     

Delphi环境中的帮助文件系统的设计和实现

本文介绍用Ｄｅｌｐｈｉ结合Ｗｉｎｄｏｗｓ环境中超文本技术开发帮助文件的过程和方法。重点介绍了在Ｗｉｎｄｏｗｓ环境中如何通过超文本方式来实现帮助文件系统的开发。     

基于Intranet的企业MIS系统的软件开发模型

对构建基于Ｉｎｔｒａｎｅｔ的企业ＭＩＳ系统的各种软件实现方法进行了比较，提出了适合发电运行管理信息系统的软件实现方法，并列举了实例，该方法已投入工程应用。     

纯文本数据在VFP中导入导出

讨论纯文本数据在Visual Foxpro6．0数据库管理系统中导入和导出的方法。并提出了具体的操作方法。     

专家寻找模型融合框架研究

网络中存在着规模庞大的信息,搜索引擎如Google为网络海量信息的检索提供了有效的途径,但是许多潜藏的知识仍然无法被搜索到。而且,大量知识并未存储于文档或者数据库中,其中大部分仅存在于人脑中。对于网络中无法检索到的知识,则需要找到掌握这些知识的专家,并通过交流获取这些知识。目前专家寻找的方法有语言模型、主题模型等,这些方法各有优缺点。提出一种专家寻找模型融合框架,该框架可有效地将已有的专家寻找模型结合起来,从而提高专家寻找的精确度与鲁棒性。实验结果支持了这一结论。     

Phantom vibrations among undergraduates: Prevalence and associated psychological characteristics

‘Phantom vibration syndrome,’ or perceived vibrations from a device that is not really vibrating, is a recent psychological phenomenon that has attracted the attention of the media and medical community. Most (89%) of the 290 undergraduates in our sample had experienced phantom vibrations, and they experienced them about once every two weeks, on average. However, few found them bothersome. Those higher in conscientiousness experienced phantom vibrations less frequently, and those who had strong reactions to text messages (higher in the emotional reaction subscale of text message dependence) were more bothered by phantom vibrations. These findings suggest that targeting individuals’ emotional reactions to text messages might be helpful in combating the negative consequences of both text message dependency and phantom vibrations. However, because few young adults were bothered by these phantom vibrations or made attempts to stop them, interventions aimed at this population may be unnecessary.     

Semi-automatic construction of a domain ontology for wind energy using Wikipedia articles

Domain ontologies are important information sources for knowledge-based systems. Yet, building domain ontologies from scratch is known to be a very labor-intensive process. In this study, we present our semi-automatic approach to building an ontology for the domain of wind energy which is an important type of renewable energy with a growing share in electricity generation all over the world. Related Wikipedia articles are first processed in an automated manner to determine the basic concepts of the domain together with their properties and next the concepts, properties, and relationships are organized to arrive at the ultimate ontology. We also provide pointers to other engineering ontologies which could be utilized together with the proposed wind energy ontology in addition to its prospective application areas. The current study is significant as, to the best of our knowledge, it proposes the first considerably wide-coverage ontology for the wind energy domain and the ontology is built through a semi-automatic process which makes use of the related Web resources, thereby reducing the overall cost of the ontology building process.     

Predicting self-monitoring skills using textual posts on Facebook

The popularity of the social networking site Facebook (FB) has grown unprecedented during the past five years. The research question investigated is whether posts on FB would also be applicable for the prediction of users’ psychological traits such as self-monitoring (SM) skill that is supposed to be linked with users’ expression behavior in the online environment. We present a model to evaluate the relationship between the posts and SM skills. The aim of this study is twofold: first, to evaluate the quality of responses to the Snyder’s Self-Monitoring Questionnaire (1974) collected via the Internet; and secondly, to explore the textual features of the posts in different SM-level groups. The prediction of posts resulted in an approximate 60% accuracy compared with the classification made by Snyder’s SM scale. The variable “family” was found the most significant predictor in structured textual analysis via Linguistic Inquiry and Word Count (LIWC). The emoticons and Internet slangs were extracted as the most robust classifiers in the unstructured textual analysis. We concluded that the textual posts on the FB Wall could partially predict the users’ SM skills. Besides, we recommend that researchers always check the validity of Internet data using the methodology presented here to ensure the data is valid before being processed.