Journal of Computational Intelligence and Electronic Systems

Journal Information
ISSN / EISSN: 23263008 / 23263024
Total articles ≅ 131

Latest articles in this journal

Poonam Kiran Tiwari, P. Jain, S. Akashe
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 19-23;

A low leakage FinFET based full wave bridge rectifier is analyzed. A diode can be replaced by diode connected MOS transistors. A rectifier with less ripples and small area capacitor consumption is required since, full-wave rectifier is most useful in low-frequency applications and its good for the other application also instrumentation, signal processing, large load current, low voltage power supplies. The topology of rectifier does not require the complex circuit design. The gate of selected transistors are used to derive when the highest voltage available in the circuit in to decrease leakage current and channel on impedance while it is having increased tranconductance. In this paper we use FinFET technique to reduce the leakage power. The FinFET devices reliability and operation are demonstrated. The design is very essential for the practical applications and circuit operation. The circuit is given a dc output and the output measurement is achieved a high efficiency, high voltage gain. After simulation and analysis of the proposed circuit, the leakage power is obtained for the proposed circuit has found 0.469 fW, and the Noise has found 156.87 db the efficiency of the proposed circuit has found 83.37% which explains an improvement as compared to that of the diode based bridge rectifier circuit. Rectification is basically achieved by unidirectional device. The simulation is done using CADENCE simulator software. The proposed circuit was implemented using the 45 nm technology.
Damilare O. Akande, Festus K. Ojo, Hafeez S. Salaudeen, Adetomiwa C. Abidoye
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 49-53;

Investigations on the performance of pilot aided channel estimation in amplify and forward orthogonal frequency division multiplexing (AF-OFDM) based cooperative wireless system is presented. The quest for a reliable and high rate of data transmission over Rayleigh fading environment has necessitated the need to estimate the channel condition of a communication system. The effect of block type channel estimation using the least square estimator (LS), and minimum mean square error (MMSE) algorithms were evaluated in term of bit error rate (BER). In cooperative wireless system, the source node generate an analogue signal which is then converted using analogue to digital converter (A/D) and then transmitted using OFDM system with the insertion of pilots and data as training sequence to enhance the quality of the signal at the relay and destination nodes. At the relay node, the signal received is converted using digital to analogue converter (D/A) and then amplified and forwarded to the destination where the channel estimation process is also performed, and the destination node estimate and combine the signals received. Simulation results obtained using 4-QAM,16-QAM, 32-QAM and 64-QAM show that, the BER values decreases as signal to noise ratio (SNR) increases for LS and MMSE but at higher SNR, MMSE outperforms LS estimation algorithms.
Quanyong Zhu, Quanxiang Wang
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 35-48;

We numerically investigate the dynamics of the solitary waves in the presence of external stochastic forces for the viscous wave equation. Since the analytic solutions of the considered problems are not expected available, finite volume element (FVE) method will be used in physical space and Monte Carlo (MC) sampling technique will be used in random space. Numerical results demonstrate that solitary wave profile is not strongly affected by the weak Gaussian white noise in our study. However, the noise with strong strength would destroy the propagation of solitary wave and increase the amplitude in some trajectories.
Kening Liu, , Suli Wang, Yanhong Wang
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 70-75;

In this paper we propose a conversion from signature scheme connected to coding theory into blind signature scheme. The blind signature scheme is based on CFS signature scheme, so the security of the proposed blind signature scheme is equal to the security of CFS signature scheme. The security can be reduced in the random oracle model to the well-known syndrome decoding problem and the distinguishability of permuted binary Goppa code from a random code. This is a secure blind signature scheme which cannot be broken by quantum computers via cryptanalyzing the underlying signature scheme employing Shor's algorithms. From security analysis, we know that the scheme not only has the basic features, such as blindness, unforgeability, untracability, but also is based on coding theory, so it can resist attacks from quantum algorithms. Compared with other blind signature algorithms, our scheme has better performance.
Xindong Zhang
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 7-14;

The classical KdV equation has been found to describe a large number of physical phenomena. In this paper, we consider the homotopy perturbation method (HPM) for obtaining the approximate analytical solution of time-fractional KdV equations (TFKdVEs). In the KdV equation, the time derivative will be replaced by a fractional derivative α, where 0 α ≤ 1. The initial approximation can be determined by imposing the initial conditions. Numerical examples show that the numerical results of TFKdVEs can be obtained within a few iterations.
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 82-87;

In this paper we generalized recently introduced approach of estimation of time scales of mass transport in inhomogenous materials under influence of inhomogenous potential field. Some examples of using of the approach were considered.
Zhen Gong, Shejiao Hu, Dongdong Shi
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 63-69;

In order to achieve the optical remote sensing ground calibration and improve its field calibration's accuracy and effectiveness, this paper conduct the corresponding optimized design of its data acquisition module according to WMO related performances of solar irradiance meter. The corresponding optimized design includes selecting multi-type photoelectric sensors to ensure the effective collection of light in each band, selecting especial chips for the important components of the acquisition circuit to ensure its reliability in harsh working environments and taking shielding protection on the important signal in the circuit, etc. After experimental verification in laboratory, data acquisition module shows its good stability and linearity, so it could better assist optical remote sensing satellite ground calibration.
Vinay R. Lokhande, Sagar P. Soitkar
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 54-57;

In this brief, a low power positive edge triggered pulse generator design is presented. The positive edge triggered pulse generator is design with the help of 3-stage ring oscillator. The 3-stage ring oscillator used as a input source to pulse generator. Based on simulation results using 180 nm CMOS technology, the positive edge triggered pulse generator design operates on 1 V for frequency 800 MHz. In addition, a simple analysis of pulse generator allowing estimating the oscillator frequency from the process and transistor parameter values is provided. In the meantime, the performance of power of ring oscillator and pulse generator reduces 50% and 20% respectively.
E. Tehrani, A. R. Zare Bidaki, M. Farahani
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 76-81;

This paper recommends a wavelet neural PI controller (WNPIC) to increase the damping of static synchronous series compensator (SSSC) in order to mitigate the inter-area oscillations. The closedloop control system contains two wavelet neural networks (WNNs). The first is a feed-forward wavelet neural network that is used as a predictive model of the controlled plant. The second one is a wavelet neural PI-like controller which combines abilities of a wavelet neural network and PI controller. Both networks are trained by using the gradient steepest descent method. The whole design process of controller, an accurate model of the system is not required. A two-area fourmachine power system is used to evaluate the performance of the proposed controller in damping the oscillations. The results show that the intra-area oscillations are satisfactorily suppressed by the proposed controller.
Naim G. Fanan, Aatish S. Khobragade
Journal of Computational Intelligence and Electronic Systems, Volume 5, pp 24-27;

Due to the increase in the development of different technologies used in the video analysis, a huge number of videos file are presented for users on the internet. Hence, complexity increases in finding the video with desired contents. Shot Boundary Detection (SBD) is a very first step and important one in video browsing, indexing and retrieval. Different video shots are detected by extracting a feature s from individual video frames. Different Shot Boundary Detection Algorithms have been developed, but the major issues related to this are, they are inefficient and has high computational cost. In this paper, we proposed fast video shot boundary detection technique which utilizes the pre-processing scheme before shot detection which involves Candidate Segment Selection (CSS) and Bisection Based Comparison (BSC). Due to this an excessive non-boundary segments i.e., which doesn't carry any shot boundaries are eliminated and only candidate segments are further processed for actual which speed-up the shot detection.
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