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Dey A.,IIEST | Choudhury A.B.,IIEST
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016

Optimal design of saturated iron-core superconducting fault current limiter (SISFCL) for satisfactory steady state and transient performance is very important. While designing the fault current limiter (FCL) utilizing Jiles-Atherton hysteresis model, it has been observed that a good fault current suppression ratio cannot be achieved without an appreciable voltage rise across the dc voltage source. Hence both objectives, suppressing the fault current and limiting the voltage rise across the dc voltage source are conflicting in nature and need to be optimized simultaneously. In this paper, two multi-objective optimization problem solving approach are compared. The first approach is scalarization whereas the second one is Pareto approach. A multi-objective GA algorithm for both the approaches is utilized to find the optimal solution for the satisfactory performance of SISFCL. © 2016 IEEE.


Patra S.,IIEST | Bera A.K.,IIEST
International Journal of Civil Engineering and Technology | Year: 2017

In the present paper a series of California Bearing Ratio (CBR) tests has been performed in both soaked and unsoaked condition on field samples collected from road subgrade. Four rural roads in West Bengal, India have been considered for collection of field CBR sample. From the experimental data it is found that with time the values of CBR in soaked and unsoaked condition increases irrespective of types of road subgrade. Based on the present experimental data a nonlinear power model has been developed to predict field soaked CBR value with time (CBRfst), in terms of field soaked CBR value at 0 days (CBRfs0) and time 't'. © IAEME Publication.


Bose A.,IIEST | Maity S.P.,IIEST
ACM International Conference Proceeding Series | Year: 2016

Recently compressed sensing or compressive sampling (CS), apart from its intrinsic applications of sub-sample signal reconstruction, is explored a lot in the design of bandwidth preserving-energy efficient wireless networks. At the same time, due to open nature of wireless channel, digital data (media) transmission needs their protection from unauthorized access and digital watermarking has been devised as one form of potential solution over the years. Among the various methods, spread spectrum (SS) watermarking is found to be efficient due to its improved robustness and imperceptibility. SS watermarking on digital images in presence of additive and multiplicative noise is studied a lot. To the best of knowledge, CS-SS watermarking in presence of both multiplicative (fading channel) and additive noise is not explored much in the existing literature. To address this problem, a wireless communication theoretic model is suggested here to develop an improved detection scheme on additive SS image watermark framework. System model considers sub-sample (CS) transmission of the watermarked image over both non-fading and fading channel. Then a diversity assisted weighted combining scheme for the improved water-mark detection is developed. An optimization problem is formulated where the weight for the individual link is calculated through eigen filter approach to maximize the water-mark detection probability for a fixed false alarm rate under the constraint of an embedding power (strength). A large set of simulation results validate the mathematical model of the diversity assisted compressive watermark detector. © 2016 ACM.


Bhanja M.,IIEST | Ray B.,IIEST
Journal of Circuits, Systems and Computers | Year: 2017

In this paper, a systematic and hierarchical synthesis methodology is presented for nonlinear analog synthesis to meet the essential requirement for system automation. Behavior of nonlinear system, represented by polynomial expression, has been studied by decomposing it into linear and nonlinear sub-expression. Such sub-expressions are realized with basic building block like multiplier, adder, quadratic, etc., each of which can be represented as a network of the current mode device, operational transconductance amplifier (OTA). Polynomial series is used to represent various important functions in signal processing applications. Few nonlinear functions with their OTA representation are discussed as the applications of polynomial series. The response of all the circuits are studied through SPICE simulation validating the proposed methodology. © 2018 World Scientific Publishing Company


Bhanja M.,IIEST | Ray B.,IIEST
Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI | Year: 2017

A systematic synthesis approach for designing a voltage-mode multifunction operational transconductance amplifier (OTA)-C biquadratic has been described using programmable first order filter. The proposed filter shows lower sensitivities, high frequency response, lower output noise. The proposed second order filter has been converted to third order butterworth and elliptic filter employing a single capacitor. Hierarchical analysis has been maintained through the synthesis of higher order band pass filter (BPF) and high pass filter (HPF) using the proposed biquadratic. All the proposed theory are validated with SPICE simulations. © 2017 IEEE.


Banerjee S.,IIEST | Roy T.K.,IIEST
International Journal of Fuzzy System Applications | Year: 2017

P-norm Generalized Trapezoidal Intuitionistic Fuzzy Number is the most generalized form of Fuzzy as well as Intuitionistic Fuzzy Number. It has a huge application while solving various problems in imprecise environment. In this paper the authors have discussed some basic arithmetic operations of p-norm Generalized Trapezoidal Intuitionistic Fuzzy Numbers using two different methods (extension principle method and vertex method) and have solved a problem of circuit analysis taking the given data as p-norm Generalized Trapezoidal Intuitionistic Fuzzy Numbers. Copyright © 2017, IGI Global.


In this article, a static analysis of a functionally graded (FG) rectangular plate subjected to a uniformly distributed load is investigated within the framework of Timoshenko and the higher order shear deformation beam theories. The mechanical behavior of the plate is analysed under the theory of Cosserat elasticity. In the framework of infinitesimal theory of elasticity, the bending of the plate is analyzed subjected to transverse loading. A set of governing equations of equilibrium are obtained based on the method of hypothesis. A semianalytical solution is presented for the governing equations using the approximation theory of Timoshenko. The solutions are validated by comparing the numerical results with their counterparts reported in the literature for classical Timoshenko plate theory. © 2017 ASM International


Ghosh H.,IIEST | RoyChaudhuri C.,IIEST
IEEE Sensors Journal | Year: 2016

Nanocrystalline silicon oxide impedance biosensor has a promising feature of displaying a concentration dependent resonant peak in the sensitivity characteristics which introduces an electrical marker for selectivity. However, the design of optimum pore geometry for a desirable combination of sensitivity, selectivity and repeatability is expected to be nontrivial due to the effect of electrical double layer impedance at the electrode-electrolyte interface and local charge modulation at the interface of the cylindrical and the hemispherical regions owing to the mutual interference of the electric field lines. In this paper, detailed theoretical and experimental investigations of the effect of pore geometry on the sensing performance have been reported. The pore impedance in the transmission line model of such sensors has been evaluated by solving the Poisson Nernst Planck equation using finite element method. Aflatoxin B1(AFB1) and Ochratoxin A(OTA) has been used as the specific and nonspecific antigen respectively. It has been observed that the sensitivity and selectivity parameters along with their repeatability index change oppositely and hence the maximum figure of merit does not vary in accordance with the aspect ratio of the pores. Further, the optimized dimensions have experimentally resulted in tripling of the figure of merit compared to the un-optimized dimension reported in previous literature. This effect has led to enhancement in accuracy of detection by more than an order of magnitude and selectivity by two orders of magnitude. © 2016 IEEE.


Shaw S.,IIEST
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.


De I.,MCKV Institute of Engineering | Sil J.,IIEST
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.

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