Banerjee S.,Dr. B. C. Roy Engineering College |
Dasgupta K.,Dumkal Institute of Engineering and Technology |
International Journal of Electrical Power and Energy Systems | Year: 2016
Hydro-wind-thermal scheduling is one of the most important optimization problems in power system. An aim of the short term hydrothermal scheduling of power systems is to determine the optimal hydro, wind and thermal generations in order to meet the load demands over a scheduled horizon of time while satisfying the various constraints on the hydraulic, wind and thermal power system network. In this paper we present optimal hourly schedule of power generation in a hydro-wind-thermal power system applying PSO technique. The simulation results inform that the proposed PSO approach appears to be the powerful to minimize fuel cost and it has better solution quality and good convergence characteristics than other techniques. © 2016 Elsevier Ltd. All rights reserved.
Das S.,Hooghly Engineering and Technology College |
Advances in Intelligent Systems and Computing | Year: 2016
An offline signature verification system based on feature extraction from signature images is introduced. Varieties of features such as geometric features, topological features and statistical features are extracted from signature images using Gabor filter technique. As all the features are not relevant, only the salient features are selected from the extracted one by a Rough Set Theory based reduct generation technique. Thus only the relevant features of the signatures are retained to reduce the dimension of feature vector so as to reduce the computation time and are used for offline signature verification. The experimental results are expressed using few parameters such as False Rejection Rate (FRR), False Acceptance Rate (FAR). © Springer India 2016.
De I.,MCKV Institute of Engineering |
Applied Soft Computing Journal | Year: 2015
Image quality assessment of distorted or decompressed images without any reference to the original image is challenging from computational point of view. Quality of an image is best judged by human observers without any reference image, and evaluated using subjective measures. The paper aims at designing a generic no-reference image quality assessment (NR-IQA) method by incorporating human visual perception in assigning quality class labels to the images. Using fuzzy logic approach, we consider information theoretic entropies of visually salient regions of images as features and assess quality of the images using linguistic values. The features are transformed into fuzzy feature space by designing an algorithm based on interval type-2 (IT2) fuzzy sets. The algorithm measures uncertainty present in the input-output feature space to predict image quality accurately as close to human observations. We have taken a set of training images belonging to five different pre-assigned quality class labels for calculating foot print of uncertainty (FOU) corresponding to each class. To assess the quality class label of the test images, maximum of T-conorm applied on the lower and upper membership functions of the test images belonging to different classes is calculated. Our proposed image quality metric is compared with other no-reference quality metrics demonstrating more accurate results and compatible with subjective mean opinion score metric. © 2015 Elsevier B.V. All rights reserved.
International Journal of Mechanical Sciences | Year: 2016
The present paper deals with the dynamical solution of a rectangular micropolar beam in high frequency domain. Analogous to symplectic approach by W. Zhong, a new methodology is adopted to solve the vibrational problem by using Hamiltonian principle with Legendre's transformation. This paper extends the symplectic elasticity approach and dual variables to a different version that simplifies the solution procedure. © 2016 Elsevier Ltd. All rights reserved.
Banerjee J.,MCKV Institute of Engineering |
International Journal of Microwave and Optical Technology | Year: 2016
Noise performance and output power generation of Ka-band DDR IMPATT diode has been investigated through the method of simulation. The iterative method has been used to study the effect of doping on the noise performance and power generation of this device. Effect of doping on noise parameters like noise measure, shot noise ratio and generated output power of compound semiconductor based IMPATTs (like InP, 3C SiC, 4H SiC, 6H SiC) are studied. It is interestingly found that output power can be increased and noise measure can be decreased by increasing doping concentration maintaining a proper doping level. It is obtained that 6H SiC produces minimum noise measure only 10.9072 dB at 300 Kelvin and 3C SiC has the capability of generation of maximum output power 248.6 miliwatt at Ka Band among these devices. 4H SiC shows maximum efficiency 26.3932 % and maximum breakdown voltage (VB) 554.1919 volt at Ka Band. Results of the analysis presented in this paper will be useful to realize a comparative study of noise suppression technique of different semiconductor based IMPATTs at Ka band. © 2016 IAMOT.