Preferred Language
Articles
/
alkej-3
Microcontroller – Based Spectrum Analyzer
...Show More Authors

This work includes design, implementation and testing of a microcontroller – based spectrum analyzer system. Both hardware and software structures are built to verify the main functions that are required by such system. Their design utilizes the permissible and available tools to achieve the main functions of the system in such a way to be modularly permitting any adaptation for a specific changing in the application environment. The analysis technique, mainly, depends on the Fourier analysis based methods of spectral analysis with the necessary required preconditioning processes. The software required for waveform analysis has been prepared. The spectrum of the waveform has been displayed, and the instrument accuracy has been checked. The basic hardware parts of the analyzer are the processor and the associated logic, storage media, communication to a central master computer and the data acquisition parts. However, the input / output structure is modular and may change according to the application requirements. The basic operating software modules, which are independent of an application, may be used as a part of a software package that can carryout other functions. A complete software development tools package to develop application programs, using IBM-PC and the analyzer instrument, are installed and realized at levels, the PC level and the analyzer instrument level.

 

 

View Publication
Publication Date
Sun Jan 14 2018
Journal Name
Journal Of Engineering
Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm
...Show More Authors

This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes. The simulations are made by using MATLAB software. The results show that by using Improved Ant Colony Optimization (IACO) the system will give better performance with less number of iterations as it compared with a previous modification on ACO. In addition, the probability of selecting the arc depends on the best ant performance and the evaporation rate.

 

View Publication Preview PDF
Publication Date
Thu Jan 01 2026
Journal Name
Ieee Access
SD-GPON: A Dynamic Prioritization for Efficient Traffic Management Based on Controlling DSCP
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Survival estimation for singly type one censored sample based on generalized Rayleigh distribution
...Show More Authors

This paper interest to estimation the unknown parameters for generalized Rayleigh distribution model based on censored samples of singly type one . In this paper the probability density function for generalized Rayleigh is defined with its properties . The maximum likelihood estimator method is used to derive the point estimation for all unknown parameters based on iterative method , as Newton – Raphson method , then derive confidence interval estimation which based on Fisher information matrix . Finally , testing whether the current model ( GRD ) fits to a set of real data , then compute the survival function and hazard function for this real data.

View Publication Preview PDF
Crossref
Publication Date
Tue Aug 10 2021
Journal Name
Design Engineering
Lossy Image Compression Using Hybrid Deep Learning Autoencoder Based On kmean Clusteri
...Show More Authors

Image compression plays an important role in reducing the size and storage of data while increasing the speed of its transmission through the Internet significantly. Image compression is an important research topic for several decades and recently, with the great successes achieved by deep learning in many areas of image processing, especially image compression, and its use is increasing Gradually in the field of image compression. The deep learning neural network has also achieved great success in the field of processing and compressing various images of different sizes. In this paper, we present a structure for image compression based on the use of a Convolutional AutoEncoder (CAE) for deep learning, inspired by the diversity of human eye

... Show More
Publication Date
Thu Jan 14 2021
Journal Name
Reviews In Inorganic Chemistry
A review on TiO<sub>2</sub>-based composites for superior photocatalytic activity
...Show More Authors
Abstract<p>Heterogeneous photocatalysts was a promising material for removing organic pollutants. Titanium dioxide (TiO<sub>2</sub>) was a suitable photocatalyst for its cost efficiency and high stability to reduce various pollutants. Enhancing TiO<sub>2</sub> photocatalyst performance by doping with changed metals or non-metal ions and organic compounds have been reviewed. These methods could enhance photoelectrochemical activity via: (i) by a donor of electrons via electron-donor agents that would produce particular defects in TiO<sub>2</sub> structure and capture transporters of charge; (ii) by reducing recombination rate of the charge transporters and increasi</p> ... Show More
Scopus (57)
Crossref (52)
Scopus Crossref
Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
Generating a Strong Key for a Stream Cipher Systems Based on Permutation Networks
...Show More Authors

The choice of binary Pseudonoise (PN) sequences with specific properties, having long period high complexity, randomness, minimum cross and auto- correlation which are essential for some communication systems. In this research a nonlinear PN generator is introduced . It consists of a combination of basic components like Linear Feedback Shift Register (LFSR), ?-element which is a type of RxR crossbar switches. The period and complexity of a sequence which are generated by the proposed generator are computed and the randomness properties of these sequences are measured by well-known randomness tests.

View Publication Preview PDF
Crossref
Publication Date
Tue Sep 01 2020
Journal Name
International Journal Of Hydrogen Energy
Hydrogen gas sensing based on nanocrystalline SnO2 thin films operating at low temperatures
...Show More Authors

View Publication
Scopus (43)
Crossref (39)
Scopus Clarivate Crossref
Publication Date
Mon Aug 20 2018
Journal Name
Physical Review E
Dynamical density-functional-theory-based modeling of tissue dynamics: Application to tumor growth
...Show More Authors

View Publication Preview PDF
Scopus (20)
Crossref (18)
Scopus Clarivate Crossref
Publication Date
Sat Dec 01 2012
Journal Name
2012 International Conference On Radar, Communication And Computing (icrcc)
BER performance improvement for secure wireless communication systems based on CSK- STBC techniques
...Show More Authors

There has been a growing interest in the use of chaotic techniques for enabling secure communication in recent years. This need has been motivated by the emergence of a number of wireless services which require the channel to provide very low bit error rates (BER) along with information security. This paper investigates the feasibility of using chaotic communications over Multiple-Input Multiple-Output (MIMO) channels by combining chaos modulation with a suitable Space Time Block Code (STBC). It is well known that the use of Chaotic Modulation techniques can enhance communication security. However, the performance of systems using Chaos modulation has been observed to be inferior in BER performance as compared to conventional communication

... Show More
View Publication
Scopus (3)
Crossref (3)
Scopus Crossref
Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
Discrete wavelet based estimator for the Hurst parameter of multivariate fractional Brownian motion
...Show More Authors
Abstract<p>In this paper, wavelets were used to study the multivariate fractional Brownian motion through the deviations of the random process to find an efficient estimation of Hurst exponent. The results of simulations experiments were shown that the performance of the proposed estimator was efficient. The estimation process was made by taking advantage of the detail coefficients stationarity from the wavelet transform, as the variance of this coefficient showed the power-low behavior. We use two wavelet filters (Haar and db5) to manage minimizing the mean square error of the model.</p>
View Publication
Scopus (5)
Crossref (2)
Scopus Crossref