This paper proposes a new feature extraction algorithm which is robust against noise using histogram compensation and asymmetric filter. Temporal masking would be provided to improve ASR systems specifically in matched and multistyle training conditions. Nonlinear filtering and temporal masking are used in this algorithm. By matching the power histograms of the input in each […]
In this paper, investigation is carried out for the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. The current controller model and the line dynamics are considered in the stability analysis. Transient stability analysis is done on a multi-machine system, where, a neural network controller is developed to improve […]
DG (dispersed generation) application has received increasing attention during recent years. The impact of DG on various aspects of distribution system characteristics depends highly on DG location in distribution feeder. This paper presents an optimization method to determine long term optimal DG placement in distribution systems in which system reliability and operational constraints as well […]
In this paper, a hybrid of Neural Network (NN) and Fast Traversal Filter (FTF) based controller is used to determine the optimal parameters of Load Frequency Control (LFC) of a realistic two area power system. The two area power system is modeled considering the various non -linearities like governor dead band, generation rate constraint (GRC) […]
Application of renewable energy sources have shown perfect potential as a form of contribution to conventional power generation systems. This paper presents an hybrid system based on photovoltaic (PV) module and PEM (proton exchange membrane) fuel cell (FC) with the aim of selling electricity to distribution network (DN) and improve its reliability. In this paper […]
With respect to the increasing growth in the subscribers of wireless cellular networks and the necessity of providing network services with reasonable quality in any location, the importance of enhancement in the wireless network services is deeply felt. This means that network users expect to receive voice, data, and multimedia services with reasonable QoS, regardless […]
In this paper an approach is presented for edge detection of noisy images that have been degraded by impulsive noise. It uses Fuzzy Inference System (FIS) and Ant Colony Optimization (ACO). Starting with, using the FIS with 12 simple rules is to identify the noisy pixels in order to perform the filtering operation only for […]
The demand for RFID tags has recently increased due to the development of the RFID. Over the past decade, great efforts have been devoted to the design of RFID tags without chip inside. The concept of chipless RFID tags appears to be a promising solution for low cost item tagging because the cost of active […]
Induction motors are widely used in industrial, commercial and residential applications. An induction motor may exposed to the unbalanced voltage in the various operating conditions. Therefore, it is vital to investigate influences of voltage unbalance on performance of induction motors. In this paper, the performance of a three-phase squirrel cage induction motor has been simulated […]