This paper proposes how to effectively retrieve the mathematical equations when the plain words are given as a query. The proposed system requires no complicated mathematical symbols, no particular input tool and no constraint of query. Users can enter a query with plain words like the traditional Information Retrieval. For this, we extract features from the plain texts that are converted from the real math equations. Experimental results show an outstanding performance, a MRR of 0.6585.
SUMMARYIn this paper, we study how to automatically classify mathematical expressions written in MathML (Mathematical Markup Language). It is an essential preprocess to resolve analysis problems originated from multi-meaning mathematical symbols. We first define twelve equation classes based on chapter information of mathematics textbooks and then conduct various experiments. Experimental results show an accuracy of 94.75%, by employing the feature combination of tags, operators, strings, and "identifier & operator" bigram.
Shape control is always a key issue in the six-high rolling mill, in which the shifting of the intermediate roll and the work roll have been used to enhance the shape control capability. In this paper, a finite element method (FEM) model has been developed to simultaneously simulate the strip deformation and the roll stack deformation for the six-high rolling mill. The effects of the work-roll bending, the shifting of the intermediate roll and the work roll on the strip crown and edge drop are discussed in details. Results have shown that both higher bending force and more roll shifting will significantly reduce the strip crown. The edge drop is also reduced with the bending force and the roll shifting.
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