Permanent magnet motors have the advantages of high output torque, efficiency, and low noise, but cogging effect is obvious. The 24-slot 4-pole surface-mounted permanent synchronous motor taken as an example to reduce torque motors. Firstly, generation mechanism analysed based on energy method, pole arc coefficient, air gap length, magnetic eccentricity, thickness, slot opening width are determ...

Nature Inspired Meta-Heuristic algorithms are proved to be beneficial for solving real world combinatorial problems such as minimum spanning tree, knapsack problem, process planning problems, load balancing and many more. In this research work, existing meta-heuristic approaches are discussed. Due to astonishing feature of echolocation, bat algorithm has drawn major attention in recent years an...

The number of effective factors and their nonlinear behaviour—mainly the effect on concrete properties—has led researchers to employ complex models such as artificial neural networks (ANNs). compressive strength is certainly a prominent characteristic for design analysis structures. In this paper, 1030 samples from literature are considered model accurately efficiently strength. To aim, Feed-Fo...

Abstract In this paper, a novel flexible AC transmission system (FACTS) device named generalized optimal unified power flow controller (GOUPFC) is introduced to control the flows in multi lines and regulate voltages angles at load buses. The detailed injection modeling of GOUPFC presented paper. location determined based on line collapse proximity indicator (LCPI). A multi-objective function fr...

Gait is the walking style of a person. The gait recognition method uses the concept of extracting the features from the video sequence. These features can be used in surveillance systems to identify the individual. In this paper, gait recognition using Multi objective Bat algorithm is proposed in which the shape descriptor features are included to improve the accuracy of gait recognition. Gait ...

The main objective of a classifier is to discover the hidden class level of the unknown data. It is observed that data size, number of classes and dimension of feature space and inter class separability affect the performance of any classifier. For a long time, efforts are made in improving efficiency, accuracy and reliability of classifiers for a wide range of applications. Different optimizat...