Unstrucutured grids are used frequently in finite element or finite volume analysis. Unlike structured grids which are mostly applicable to finite difference schemes, unstructured grids require a list of the connectivity which specifies the way that a given set of vertices form the individual elements. To implement models that use an unstructured numerical decomposition on a distributed memory ...

In this study, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) was presented for detection of internal carotid artery stenosis and occlusion. The internal carotid arterial Doppler signals were recorded from 130 subjects that 45 of them suffered from internal carotid artery stenosis, 44 of them suffered from internal carotid artery occlusion and the rest of them were health...

In this paper a pose invariant face recognition using neuro-fuzzy approach is proposed. Here adaptive neuro fuzzy interface system (ANFIS) classifier is used as neuro-fuzzy approach for pose invariant face recognition. In the proposed approach the preprocessing of image is done by using adaptive median filter. It removes the salt pepper noise from the original images. From these denoised images...

A new partitioning method for complex 3-D hybrid prismatic/tetrahedral meshes is presented, The method uses an orthogonal recursive bisection approach on a special octree corresponding to the hybrid grid. The octree is generated automatically and handles any type of 3-D geometry and domain connectivity. It is employed for partitioning of static, as well as dynamic adaptive meshes. The method yi...

The utilization of a microgrid with photovoltaic (PV) and wind generation system presents challenge due to their voltage power output variations. This problem is majorly addressed within the converter section using maximum point tracking (MPPT) algorithms regulation strategies. paper an interleaved boost (IBC) modeling control hybrid adaptive neuro-fuzzy inference system-proportional plus integ...

This paper proposes an adaptive neurofuzzy interface system ANFIS approach to identify the real power transfer between generators. Based on solved load flow results, it first uses modified nodal equation method MNE to determine real power contribution from each generator to loads. Then the results of MNE method and load flow information are utilized to train the designed ANFIS. It also incorpor...

Power grid partition is a major problem in power markets based on zonal marginal price (ZMP). As the preparation of modeling, the zone of a node set is defined as the minimum-girthed convex polygon containing these nodes, and a theorem judging common nodes between two zones of node sets is proposed. Then, the power-grid-partitioning problem is described as a combinatorial optimization model, an...

In this paper river stage discharge models using Adaptive NeuroFuzzy Inference System (ANFIS) and Linear Multiple Regression (MLR) methods have been developed. This paper also investigates the best model to forecast river discharge. From the literature it is clear that ANN models and Fuzzy logic models are quite applicable on river stage discharge modelling. Hence this present study carried out...

We present a distributed version of IDA* search algorithm for a computational grid. We also propose a grid architecture based on a multi-agent system paradigm applied to mobile devices on a cellular network. The proposed algorithm is specifically designed to adapt to the flexible environment of the grid. In this paper, we discuss several aspects of the distributed IDA* algorithm and the underly...

This paper examines grid-clustering method. Unlike the conventional methods, this method organizes the space surrounding the patterns. It uses a multidimensional grid data structure. The resulting block partitioning of the value space is clustered via a neighbor search. The mathematical description of the algorithms employed is given. Some case studies and ideas how to use the algorithms are de...