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Aiming for the low matching precision caused by the inaccurate segmentation of the region with fuzzy details when traditional methods are used for the matching of regions with fuzzy details in the multimedia images, a new high precision matching optimization method for regions with fuzzy details of multimedia images in cloud environment is proposed, LPP feature of the region with fuzzy details is extracted to calculate the similarity of features; using binary tree segmentation algorithm to segment the multimedia image region, through the combination of UFM improved algorithm and fuzzy binary tree structure to achieve the matching of fuzzy region based on fuzzy similarity, the optimized matching method is programmed, afterwards, the software is tested. The experimental results show that the proposed method has high matching accuracy.

With software system gradually going deep into all aspects of public life, software test, as an important way to verify that software system quality level, has received widespread attention of the society, and how to improve design quality, efficiency and reuse degree in software test use case has become a problem needs to be solved. This paper studies recommendation system principle and software test case design and property, analyzes the thought and advantages of collaborative filtering algorithm, sums up two attributes of software test cases and the key problems in collaborative filtering recommendation algorithm and related solutions, such as similarity calculation and similar neighbors calculation. At the same time it analyzes the advantages and disadvantages of various algorithms in different computational complexity and under the condition of the scene and proposes a combination coordination filtering algorithm and software test case recommendation system basic frame, and finally introduces the problems need to be improved and solved in collaborative filtering recommendation algorithm.

Solid modeling system based on accuracy model achieves a higher level accuracy than faceted system, but many problems exist, such as complexities of geometric calculation. This article presents a new method for representing and maintaining accuracy information in a solid system. A structural representation is introduced, some operations and validity checking are explained.© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.