Advanced Materials Research Vols. 532-533

Abstract: Based on the analysis and actual application under the background of the ground automatic weather stations research material, through selecting dimension, piecewise linear fitting method, the cluster symbol, this thesis proposes the dimensions redundant reduction algorithm, the extremum slope piecewise linear fitting method, a multi-dimensional time series data mining model for the meteorological data, and uses the model to preliminarily mine the rule of rain­ weather phenomena. Finally, the experimental results show that this model designed in this paper can predict the weather phenomenon great practicality.

Abstract: There is a lot of information contained in the World Wide Web. It has become a research focus to obtain the required related resources quickly and accurately from the web through the content-based search engines. Most current tools of full text web search engine, such as Lucene which is a widely used open source retrieval library in information retrieval field, are purely keyword based. This may not sufficient for users to retrieve in the web. In this paper, we employ a method to overcome the limitations of current full text search engines in represent of Lucene. We propose a Query Expansion and Information Retrieval approach which can help users to acquire more accurate contents from the web. The Query Expansion component finds expanded candidate words of the query word through WordNet which contains synonyms in several different senses; In the Information Retrieval component, the query word and its candidate words are used together as the input of the search module to get the result items. Furthermore, we can put the result items into different classes based on the expansion. Some experiments and the results are described in the late part of this paper.

Abstract: This paper deals with the method of simulating sea wave for decreasing its disturbance in the watercraft navigating. Firstly the ITTC two-parameter spectrum is selected as the power spectrum of sea wave to be simulated. Secondly the selected power spectrum is parted on a prescription composed of drugs of equal amount energy, and the harmonic frequency is determined by calculating the mass center of each section. Each order harmonic is synthesized on the basis of the Longuet-Higgins model in time domain. Finally, the simulation algorithm based on energy in part is presented and the simulated sea wave with time and space are determined. The simulation accuracy arrives at 1.6% compared with the ideal sea wave spectrum by the spectrum analysis of the simulated sea wave in Welch. That testifies the validity of this method and provides the watercraft movement parameters filtering with reliable exciting signals.

Abstract: Based on the two-dimensional array of Chua’s circuit, the complex dynamic phenomena of Chua’s circuits with small world connections was simulated. Such networks can be thought of as a model of nonlinear phenomena in spatially extended systems. And this means for understanding complex interactions existing in real systems where separate cells can communicate in various ways. In such small-world networks, the Chua’s circuit is taken as a standard chaotic cell. The results of computer simulation show that the spiral wave patterns could form in certain initial conditions in the presence of the small-world connection. In addition, it is found that the small-world connection could affect the pattern formation greatly.

Abstract: Emotion plays an important role in the human perception and decision-making process. Human comprehension and perception of images is subjective, and not merely rely on lower-level visual features. Semantic gap is regarded as the most important challenge of image retrieval. In this paper, we analyzed the emotional features as well as emotional semantic description of images, which comes from the image emotional semantics retrieval framework. And also the mapping ways and means were summarized from image visual features to emotional semantics. Finally, the disadvantages of emotional semantic mapping and developing tendency were discussed.

Abstract: The generation of assembly plans for a new complicated product is often a lengthy and costly manual process. In this paper, the pose description and transformation of mechanical part in virtual assembly space are studied. The assembly simulation idea of “detachable means installable” is discussed. A kind of complicated mechanical product assembly simulation process is proposed. Taking a car model as an example, the application of the assembly simulation process is introduced. In this process, complex and low efficiency computation in the assembly process could be avoided.

Abstract: The article based on the analysis of the work principle of the torpedo magnetic fuse, according to the specific circumstances of the received signal of the torpedo magnetic fuse, proposed to use the two electrodes direct opening mode magnetic field source to simulate the warship magnetic field signal of the torpedo explosive induce magnetic fuse action. The Simulating calculation shows that the magnetic field of the magnetic bait has good simulation effect; it can effectively induce the torpedo magnetic fuse.

Abstract: An intelligent orientation online help based on Web was design and implement to quickly and accurate orientation help information of user need. The operating principle and implementing process mechanism of online help is described in detail. The mechanism build one-to-one mapping relation of function interface and help document by not change application system, the help information of user need was orientated automation, quickly and accurate by one key. This could economize query time of user and reach the aim of intelligent and efficiency.

Abstract: Based on Focused Crawling, the paper designs and implements a PU text classification model with some incremental characteristic. For the case of negative set in the training samples which are not clear-cut, it first obtains a credible negative set by improving 1-DNF algorithm and then iterate trains the classifier, lastly obtains the final classifier for the theme of crawling text classification. The model learns some of the positive set and negative set in each training loop, then enters into the next training. It acquires a good self-adaptability, and reaches a good precision in the context of declining training samples.

Abstract: Data mining is a kind of technology to analyze and treat information. From the current, as well as the future perspective of teaching reform in colleges and universities, the construction of question chain data center systems under the support of data mining technical by the means of question logic will enhance the effectiveness of the teaching of Ideological and political theory courses.