أبحاث أعضاء هيئة التدريس

أنت هنا

RESEARCH INTEREST m.zeghid

Cryptography, Architectural Synthesis for the Crypto-systems, System Modeling, Synthesis of communications for the SOC, Image & Video Coding, Adequacy Algorithm Architecture, High-level synthesis.

...
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems محمد أحمد العنسي

Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. The data flow in GASOS is appropriate in pipelining and parallelization to reduce operational time. A new GASOS-based MUD hardware design for SDMA-OFDM systems is proposed using FPGA architecture.

...
MC-OFDMA for multi-user detection schemes in powerline communication محمد أحمد العنسي

Support of multiple users in wideband powerline communication (PLC) is essential to enhance the dependence on such emerging systems. This paper presents novel adaptations of the space division multiple access (SDMA) techniques to PLC. Multicarrier data transmission and orthogonal frequency division multiple access (OFDMA) techniques are invoked to mitigate the technical challenges of PLC channel impairments and enhance the spectral e±ciency. Performance is enhanced using orthogonal Walsh–Hadamard codes. Linear and nonlinear multi-user detection (MUD) schemes are investigated, including the optimal maximum likelihood (ML) methods and the near-optimal sphere detectors(SDs). Presented results indicate the potential of the proposed scheme to enhance wideband PLC systems.

...
Multi-User Detection for Radar and Communication Multifunction System محمد أحمد العنسي

A multifunctional system that performs synthetic aperture radar (SAR) and communication tasks is presented. The system depends on orthogonal frequency division multiplexing (OFDM) waveform shaping and multiple input multiple output (MIMO) configuration to achieve enhancement in the spectral efficiency of communication operation and provide interference rejection in SAR imaging. The SAR interval idle time is utilized to enhance the communication signal through diversity. Adaptive system features are introduced to achieve multi-user detection and improve the communication reliability, by means of space division multiple access (SDMA) and space-time block coding (STBC). Investigations of linear and nonlinear multi-user detection (MUD) techniques are provided. Moreover, a genetic algorithm-based system is developed to optimize the MUD problem and to provide near-optimal performance even for overloaded scenarios. A gain of more than 4 dB is achieved at bit error rate of 10(-2).

...
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems محمد أحمد العنسي

Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. The data flow in GASOS is appropriate in pipelining and parallelization to reduce operational time. A new GASOS-based MUD hardware design for SDMA-OFDM systems is proposed using FPGA architecture. The design details are presented together with their planned operational modules. Resource utilization is optimized, and the total number of clock cycles required is found to be 15 initially, in addition to one clock cycle per member of algorithm population. A clock frequency of 100 MHz is used and implementation is carried out on Xilinx� Virtex-6 FPGA, built in the development platform ML605 edition with JTAG Hardware Co-simulation. According to the results obtained from the developed algorithm and implementation tools, a high number of users can be physically possible and provided with support. Real-time based implementation of MUD systems has the potential to play a major role in next-generation communication systems.

...
Applying Artificial Neural Network to Predict Load Forecasting عبيد مرثع الدوسري

                Artificial neural network is composed of interconnected units that are called neurons. The function of neuron is to collect inputs from the environment and then generate an output on the basis of the input. Between a pair of neurons is associated a numerical strength which is called the synaptic weight. Two phases are required in order to develop an artificial neural network model. The first is the learning or training phase and the second one is the testing phase. Artificial neural network is trained by providing the network with examples which is called trauzing patterns. The synaptic weights are modified to the model in the training phase so as to train the problem which may be tested in the testing phase with some new unknown parameters and patterns and then its efficiency can be checked. Depending on the nature of training artificial neural network can be categorized into supervised Artificial NN and unsupervised Artificial NN[4].

...
Design of Electrical Power System Distribution in Modern Buildings عبداللطيف احمد الحافظ

Power Distribution is one of the major duties of the electrical engineer. It

requires not only supplying the load points in the networks, but within strict�

measures of safety, reliability, quality, In addition to these criteria, the economical factor is considered as important issue, since limited resources is commonly faced in any planning and design of project. Like any other industry the electric power system consists of three main divisions

�Generation

�Transmission

Distribution

...
DECIMATION FILTER DESIGN عبداللطيف احمد الحافظ

SINCE THE AUDIO SOUND SYSTEMS USING DIFFERENT RATES E.G. 44.1 , 48 AND 96 KHZ WE SHOULD DEFIND A FILTER TO MAINTAIN THE QUALITY OF SOUND 

CONVERSION OPERATION IS CARRIED OUT THROUGH UPSAMPLING , DOWNSAMPLING OR BOTH IN CASE OF A RATIONAL VALUE SDC

...
QR Code for https://engw.psau.edu.sa/ar/sources/research