A novel adaptive mesh refinement (AMR) strategy based on momentof-fluid (MOF) method for volume-tracking evolving interface computation is presented. Moment-of-fluid method is a new interface reconstruction and volume advection method using volume fraction as well as material centroid. The mesh refinement criterion is based on the deviation of the actual centroid obtained by interface reconstru...

In recent years we have seen a tremendous growth in the volume of text documents available on the Internet, digital libraries, news sources, and company-wide intranets. Automatic text categorization, which is the task of assigning text documents to pre-specified classes (topics or themes) of documents, is an important task that can help both in organizing as well as in finding information on th...

this paper intends to offer a new iterative method based on arti cial neural networks for finding solution of a fuzzy equations system. our proposed fuzzi ed neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of arti cial neural networks, can get a real input vector and calculates its corresponding fu...

-In Wireless sensor network (WSN), estimating the exact position of sensor node is an important research problem and its location accuracy impacts the efficiency of localization algorithms. In this paper improved centroid range free localization method is proposed and comparison with conventional centroid is done by varying different parameters such as anchor nodes, communication range and node...

in this paper, a novel method for ranking of fuzzy numbers are proposed. in this method, decision maker is defined based on the center of mass at some cuts of a pair of fuzzy numbers in discreet version and center of mass on all of cuts of a pair of fuzzy numbers in continuous version. our method can rank more than two fuzzy numbers simultaneously. also, some properties of methods are described...

Remote Sensing Imagery is used by theGovernment and private agencies for thewide range of applications from military tofarm development. Fuzzy c-meansclustering is an effective algorithm, but therandom selection in center points makesiterative process falling into the localoptimal solution easily. In this Paper, anovel clustering method is developedusing ...

A systematic methodology for condition assessment of the historic road bridges was needed because poor and inadequate which cannot satisfy everyday-day dynamic loads deteriorations due to aging process. Thus in this study, a new expert system based on knowledge approach has been proposed develop procedure these using fuzzy logic sets ?-cuts. Each bridge is divided into three components: superst...

Document clustering or unsupervised document classification has been used to enhance information retrieval. Recently this has become an intense area of research due to its practical importance. Outliers are the elements whose similarity to the centroid of the corresponding category is below some threshold value. In this paper, we show that excluding outliers from the noisy training data signifi...