Hashtags,i.e., terms that are prefixed by a # symbol, are vastly used in social media like Twitter, Instagram, etc. Hashtags present rich sentiment information about people's favorite topics and would make a text more accessible and popular. This paper proposed a model of the hashtag recommendation problem using an automatic summarizer using deep neural and Fuzzy logic system,as also some semantic text mining models. The final summarized text is based on Restricted Boltzmann Machine (RBM),and with the help of Extreme learning machines (ELM), improves the training data, then a fuzzy rule-based method on the sentences is done to build the final result.The experiments on two public data sets improved that the proposed model outperforms the related approaches and is more efficient improvement than previous methods. تفاصيل المقالة

Graphs have enormous usage in software engineering, network and electrical engineering. In fact graphs drawing is a geometrically representation of information. Among graphs, trees are concentrated because of their ability in hierarchical extension as well as processing VLSI circuit. Many algorithms have been proposed for drawing binary trees within polygons. However these algorithms generate binary trees with edge intersections and bends. Likewise, they have limitations in drawing binary trees in any arbitrary polygon with uniform distribution. The proposed algorithm which is based on calculating center of gravity in polygons draws a binary tree inside any kinds of polygon. besides center of gravity as a heuristic the segmentation process has already been used. The results which have been implemented with Microsoft Visual Basic reveal that the proposed heuristic algorithm had no edge intersection and no bend. In addition, not only the symmetry of drawing has been improved but also the computational complexity becomes less. تفاصيل المقالة

UML is known as one of the most common methods in software engineering. Since this language is semi-formal, many researches and efforts have been performed to transform this language into formal methods including Petri nets. Thus, the operation of verification and validation of the qualitative and nonfunctional parameters could be achieved with more ability. Since the majority of the real world information is uncertain, therefore fuzzy UML diagram has been extensively used by system analyzers. This paper is an attempt to transform state diagrams created in fuzzy UML into fuzzy Petri net, so that the verification and performance evaluation operation could be performed formally, rather than exact visual analysis. تفاصيل المقالة