Retrieval of images based on low level visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. As the number and size of image databases grows, accurate and efficient content-based image retrieval systems become increasingly important in business and in the everyday lives of people around the world. In this paper we describe a ...

Abstract—The dynamic control of a 3R underactuated robot is investigated in this paper. The second order nonholonomic dynamic equation of the robot is derived. An intelligent control method is proposed for the position control of underactuated manipulator based on genetic algorithm. A new fuzzy controller for motion control of underactuated robot is presented, in which the joint angular errors ...

The paper presents Bangla word speech recognition using two novel approaches with a comprehensive analysis. The first approach is based on spectral analysis and fuzzy logic and the second one uses Mel-Frequency Cepstral Coefficients (MFCC) analysis and feed-forward back-propagation neural networks. As human speech is imprecise and ambiguous, fuzzy logic – the base of which is indeed linguistic ...

in this research, pomegranate arils are dehydrated by osmotic dehydration in 40, 50, and 60 % sucrose ‎solutions and at 45, 55 and 65 degrees c‎‏ ‏‎ and weight reduction, solids grain and water loss of the products ‎were measured at 60, 120 and 180 minutes of process. osmotic dehydration processes was modeled by ‎combination of neural network and fuzzy logic techniques (neuro-fuzzy) and respons...

Artificial intelligence techniques, such as fuzzy logic, neural network, and genetic algorithm, are recently showing a lot of promise in the application of power electronic systems. The paper describes the control strategy development, design, and experimental performance evaluation of a fuzzy-logicbased variable-speed wind generation system that uses a cagetype induction generator and double-s...

This paper describes a new method for the synthesis of planar antenna arrays using fuzzy genetic algorithms (FGAs) by optimizing phase excitation coefficients to best meet a desired radiation pattern. We present the application of a rigorous optimization technique based on fuzzy genetic algorithms (FGAs), the optimizing algorithm is obtained by adjusting control parameters of a standard version...

An electric supply with reliable and good quality is very important in power system operation and control. To achieve reilability and quality in interconnected power system Automatic Generation Control (AGC) is used. The components of AGC are change in frequency deviation (∆F) and tie-line power flow (∆Ptie). For any load change, there is an existence of (∆F) and (∆Ptie) which are used as a fee...

The main goal of this research is to develop a novel optimum neuro-fuzzy system for diagnosis the complex and dynamic systems. .It has used the Particle Swarm Optimization (PSO) technique for training the Adaptive Neuro Fuzzy Inference System (ANFIS) off-line. The proposed system has applied for diagnosis the faults of two complex Photovoltaic (PV) systems. They are used to feed the power for l...

There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, one such algorithm called “Classified Average Precision”, was introduced to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate ranking will be done automati...

|A novel technique of designing application speci c defuzzi cation strategies with neural learning is presented. The proposed neural architecture considered as a universal defuzzi cation approximator is validated by showing the convergence when approximating several existing defuzzi cation strategies. The method is successfully tested with fuzzy controlled reverse driving of a model truck. The ...