المنشورات العلمية

Improved Cascade and Recursive Median Filters to detect and suppress random impulse noise from images

Abstract - In Digital Image Processing, Image Restoration involves the reconstruction or recovery of the original image from the degraded image, there are many algorithms used in this area depend on the types of noise. An improved cascaded and recursive median filters for the restoration of gray scale images that are corrupted by impulse noise is proposed in this paper. The main objective of this paper is to improve and compare two filtering algorithms," Cascade Median Filter and Recursive Median Filter ". Every pixel in the original image will be tested first to determine whether it is corrupted with noise or not, then the filters will be applied on the corrupted pixel while the uncorrupted pixels will be retained. The results of comparative analysis is measured using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).
Farag J Zbeda, (10-2018)

Capability of Modified SIFT to Match Stereo Imagery System

This paper presents an improved version of SIFT method for extracting invariant features from images that can be used to solve the correspondence problem between different views of an object or scene in an image. Scale invariant feature transform (SIFT) has recently gained substantial attention in the computer vision community to address the problem. Corresponding features in sequential pairs of images, at various different angular separations, were identified by applying a scale invariant feature transform (SIFT). Due to limitation in the standard SIFT; some of matches are considered false matches. Epipolar-line and disparity window criteria were introduced to enhance the performance of SIFT. Experiments revealed that considerable number of unfaithful matches were removed when new criteria are introduced. Future work will focus on improving the SIFT technique; to rectify the negative matches in order to obtain better matching result.
Dr. Omar Abdulmola Mohamed Abusaeeda, Mr. Salah Mohamed-Alhashimi Emhemed Naas, Dr. Nasar Aldian Ambark Mohamed Shashoa, (9-2018)
موقع الناشر

U-Shaped Dual Band Microstrip Patch Antenna With Harmonic Suppression Technique

Abstract—Due to the rapid development of wireless communication systems, there has been a significant demand for minimal weight, low cost and compact low profile antennas that can operate at more than one frequency. In this paper, a dual band U-Shaped microstrip patch antenna integrated with the Defected Ground Structure (DGS) has been discussed and the simulated results obtained using an electromagnetic simulation software known as CST Microwave Studio-2016.The U-Shaped patch was designed to generate the second operating frequency as well as for antenna size reduction. Rectangular DGS was applied to eliminate harmonic frequency. Moreover, the proposed antenna was designed for Global System Mobile (GSM) at (0.9GHz) as well as for Wireless Local Area Network (WLAN) at (2.4GHz). The harmonic frequency which is (1.87GHz) was suppressed and this suppression caused the rejection interference of noise. Furthermore, the significant antenna properties have been investigated. The presented results showed that the antenna functions at the desired dual band frequencies as proposed.
Khaled B. Suleiman, (3-2018)
موقع الناشر

U-Shaped Dual Band Microstrip Patch Antenna With Harmonic Suppression Technique

Abstract—Due to the rapid development of wireless communication systems, there has been a significant demand for minimal weight, low cost and compact low profile antennas that can operate at more than one frequency. In this paper, a dual band U-Shaped microstrip patch antenna integrated with the Defected Ground Structure (DGS) has been discussed and the simulated results obtained using an electromagnetic simulation software known as CST Microwave Studio-2016.The U-Shaped patch was designed to generate the second operating frequency as well as for antenna size reduction. Rectangular DGS was applied to eliminate harmonic frequency. Moreover, the proposed antenna was designed for Global System Mobile (GSM) at (0.9GHz) as well as for Wireless Local Area Network (WLAN) at (2.4GHz). The harmonic frequency which is (1.87GHz) was suppressed and this suppression caused the rejection interference of noise. Furthermore, the significant antenna properties have been investigated. The presented results showed that the antenna functions at the desired dual band frequencies as proposed.
Khaled B. Suleiman, (3-2018)
موقع الناشر

Performance of MIMO Techniques over Rayleigh Fading Channel with Alamouti Space Time Block Coding

Spectrum efficiency, capacity and coverage of wireless networks are being the main concern for wireless communication researchers. The performance of wireless channel has been progressed using the technology of MIMO with Alamouti space time block coding (Alamouti-STBC). This technology results in a significant improvement, which could further develop the overall performance of wireless Local Area Network (LANs) and Wide Area Network (WANs) to achieve better data rate and reliability of communication system. The purpose of this paper is to study and evaluate bit error rate performance of Alamouti-STBC coding with MIMO techniques using Zero Forcing (ZF) and Maximum Likelihood Detection (MLD) at receiver over Rayleigh fading channel. Simulation is carried out using MATLAB.
Abdulati Abdullah, Moustafa Abdalla, Ibrahim Shati, (3-2018)
موقع الناشر

Optimal control design for two wheeled mobile robot


ADEL A M ABOSDEL, (0-2018)

Modified Extend Least-Squares Algorithm for Fault Detection and Diagnosis

Abstract Modified extend least-squares parameter estimation algorithm is derived for the special case of ARMAX model identification algorithm. In this method, identification algorithm transform into two sub problems with smaller sizes is used. System identification model and noise identification model. The proposed algorithm has high computational efficiency because the dimensions of its covariance matrices become small. Also, residual generation and evaluation are computed. In simulation, the estimation error of standard recursive least algorithm and two stage extended least squares algorithm are calculated and plotted. The figure shows effectiveness of the proposed algorithm. Next, parameter is estimated using of modified extended least squares algorithm to show the accuracy of the method. Finally, residual is generated and threshold is designed to detect the fault. The figures indicate that the proposed algorithm is sensitive to the faults.
Nasar Aldian Ambark Shashoa, Abdurrezag S. Elmezughi, Nasser B. Ekreem, Salah Mohamed Naas, (4-2017)

Modified Extend Least-Squares Algorithm for Fault Detection and Diagnosis

Abstract Modified extend least-squares parameter estimation algorithm is derived for the special case of ARMAX model identification algorithm. In this method, identification algorithm transform into two sub problems with smaller sizes is used. System identification model and noise identification model. The proposed algorithm has high computational efficiency because the dimensions of its covariance matrices become small. Also, residual generation and evaluation are computed. In simulation, the estimation error of standard recursive least algorithm and two stage extended least squares algorithm are calculated and plotted. The figure shows effectiveness of the proposed algorithm. Next, parameter is estimated using of modified extended least squares algorithm to show the accuracy of the method. Finally, residual is generated and threshold is designed to detect the fault. The figures indicate that the proposed algorithm is sensitive to the faults.
Nasar Aldian Ambark Shashoa, Abdurrezag S. Elmezughi, Nasser B. Ekreem, Salah Mohamed Naas, (4-2017)