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In order to satisfy the strong demands of learning paper-cut from the public and paper-cut lovers and the needs of art education and training to practical ability for children and teenagers.Taking full use of the advantages and features of 2D interactive animation, we designed and implemented a virtual interactive system based on the classification of paper-cutting technique. Learners without paper-cutting experience can master the basic techniques of paper-cutting, and appreciate the integrity of the production process of paper-cutting through this system, which will promote the inheritance and development of folk paper-cut product techniques.

The restoration of regular paper fragments can be solved by edge matching. Edge matching is based primarily on the length and location of the break in writing, however, it is possible that the edges of some regular paper fragments are blank. And so the error of restoration is the inevitable. In this case, it needs manual intervention based on the article content and then eliminate errors. Prior to the establishment of a mathematical model, there is a need for binarization of regular paper fragments with Matlab, then establish vector space model and construct edge contrast matrix, get the order after the Q cluster analysis of fragments. Finally the original picturecan be obtained through splicing and restoring in the order.

The contribution deals with the possibilities of the use of existing commercially available vectorization programs for recognition drawing entities in raster graphics format obtained by scanning of the engineering drawing. Drawing entities as a line (solid, dashed, dot-dashed etc.), dimension, hatch, various symbols, text, etc., have specific semantic for the designer defined by standards. Expert knows to interpret this graphic language and he knows to create a mental model of the real object. To be able interpret digital content of the engineering drawing obtained by scanning by the form of 3D computer model often requires to perform many intelligent operations. In the first step it is necessary to obtain such vector representation of the scanned drawing to be able to identify the original drawing entities. Suitability of using the contemporary commercial vectorizing programs for engineering drawings was verified on the test sample of the drawing entities and the results are published in the paper.

Most of the scientific research engines utilize the same way to rank scientific research papers (SRP), this way is highly depend on the citation network. The retrieved results of these engines for any keyword contain old papers with the highest citation value. In this paper, we proposed a new and easy to implement ranking algorithm for scientific research papers known as Paper Time Ranking Algorithm (PTRA). PTRA is a new ranking algorithm that depends on three factors to rank its results; paper age, citation index and publication venue. To construct and prove our ranking algorithm we created a web crawler that crawl different scientific search papers databases in the world to collect the information that PTRA needs. Unfortunately, some of this information was missing, such as, the impact factor of the journals. To collect this information, we created another crawler that search the Internet for these journals impact factors. However, to prove our ranking algorithm results, we have compared PTRA with Google scholar ranking algorithm. We used Google scholar, since it has more than 50 million papers and its own system can gather and collect papers in a faster way. Our comparison results show that, citation index has the highest impact on Google scholars ranking algorithm results. Unlike PTRA that gains the paper age a higher impact on the ranked results. However, PTRA depends on the citation index and publication venue to rank the results but with less impact than the paper age.

Recently, with rapid development of computer/network technology and algorithms for composing test paper, cyber-based online examination system is a practically valuable hot research concern. In the paper, the mathematical model is created for solving problems with the online test paper composition system. Through comparative analysis of merits and shortcomings of various coding schemes, and to overcome the shortcoming that traditional genetic algorithms easily fall into premature convergence, it utilizes the adaptive adjustment method of dynamic parameters and elitist strategy to improve to develop the online test paper forming scheme based on adaptive genetic algorithm. For the selection of each parameter, simulation test is conducted to obtain the solution approximate to the best one.

The system uses B / S mode and ASP as the web-based support and connects with the SQL Server 2005 database, which realizes the automatic and manual assessment of Photoshop course exam management operations. At the same time, it will be able to generate paper reference to test the difficulty levels of papers.

Nowadays, the computer is increasingly popular, and college examination is developing in the direction of traditional examination means to automation and intelligence ones gradually, all these make it inevitable to construct question bank for courses, and to generate test paper using computers. This paper uses the Delphi technique, to make improvements to existing components, combining with VBA programming, and use of SQL Server to implement the question bank management and test paper auto-generation system, which could generate test paper in Word Document. A large number of tests show that the software is running stably and system features are functioning correctly on Windows 2000/XP/2003 platform with Office XP/2003 environment.

IIndoor photo has been widely used in products of shopping malls publicity, light box advertising, wedding photography, posters, engineering and landscape effect picture, digital photo album, art photo, antiquing canvas and window advertising. PP synthetic paper which was the most common indoor photo materials was selected as the research object, and it was printed by the photo printing machine. A series of experiments were carried out according to its printability. The main parameters of PP synthetic paper such as solid density, dot gain and relative contrast were tested, which provided a theoretical and practical basis for digitization of indoor photo.

The detection of elements in top part of research paper is the key problem in layout analysis, because these elements are often used as the search items by user. This paper provides a index-based method for auto detection of top part from research papers. Different from existing methods, an index is used for detecting items from top part of research paper. Experiments show the advantage of our method over existing methods, and future work is also described in the paper.

The detection of elements in top part of research paper is very important, because these elements are often used as the search items by user. This paper provides a mixed method for auto detection of top part from research paper. The papers feature of keyword, layout and content similarity are mixed to accurately find the area of top part and recognize the elements in top part. Experiments show the advantage of our method over existing methods, and future work is also described in the paper.