161 |
Research Title: ANYONE CAN TALK TOOL
Author: Mohammad Taye, Published Year: 2016
Computer Applications: An International Journal (CAIJ), Vol.3, No.1
Faculty: Information Technology
Abstract: People who have problems with talking, in general, are facing difficulty in communication with others,
these disabilities may cause embarrassment to them. Therefore, we have developed a new tool that could help speechless people to share their ideas and conversations with others. This tool will overcome these problems by turning sign language into spoken words, allowing easier communication with others. This project based on hardware device that convert Sign Language to voice. So, the person who cannot speck could be able to use it to transfer his sign to voice. The tool can be used by wearing the special hardware which consists of the smart gloves, a speaker and the interpreter box. Indeed, the sign language only used by speechless people so it’s not clear to anyone , so this tool convert the sign language to voice throw smart gloves that will understand the sign, and generate voice throw speaker .
Keywords: sign language, smart gloves, speaker, interpreter
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162 |
Research Title: Wavelet-Based Feature Extraction for the Analysis of EEG Signals Associated with Imagined Fists and Feet Movements
Author: Emad A. Awada, Published Year: 2014
Faculty: Engineering and Technology
Abstract: Electroencephalography (EEG) signals were analyzed in many research applications as a channel of
communication between humans and computers. EEG signals associated with imagined fists and feet movements
were filtered and processed using wavelet transform analysis for feature extraction. The proposed work used
Neural Networks (NNs) as a classifier that enables the classification of imagined movements into either fists or
feet. Wavelet families such as Daubechies, Symlets, and Coiflets wavelets were used to analyze the extracted
events and then different feature extraction measures were calculated for three detail levels of the wavelet
coefficients. Intensive NN training and testing experiments were carried out and different network configurations
were compared. The optimum classification performance of 89.11% was achieved with a NN classifier of 20
hidden layers while using the Mean Absolute Value (MAV) of the Coiflets wavelet coefficients as inputs to NN.
The proposed system showed a good performance that enables controlling computer applications via imagined
fists and feet movements.
Keywords: Discrete Wavelet Transform (DWT), Electroencephalography (EEG), Brain-Computer Interface (BCI), machine learning, Neural Networks (NN), feature extraction, data mining
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163 |
Research Title: Transparent Computing: A Primer
Author: Emad A. Awada, Published Year: 2020
Faculty: Engineering and Technology
Abstract: Transparent computing is an emerging technology that allows users to enjoy user-controlled services
by extending the stored program concept in the von Neumann architecture spatio-temporally into networking
environments. It is considered a form of persuasive computing and is a characteristic of pervasive computing. It
aims to provide a cross-platform user experience in a hassle-free way, and make computer systems more secure,
more reliable, and more flexible. It may be regarded as the latest realization of ubiquitous computing. This
paper provides a brief introduction to transparent computing
Keywords: transparent computing, ubiquitous computing, pervasive computing
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164 |
Research Title: Stochastic Computing: An Introduction
Author: Emad A. Awada, Published Year: 2019
Faculty: Engineering and Technology
Abstract: Abstract—Stochastic Computing (SC) essentially represents
numbers as streams of random bits and reconstructs numbers
by calculating frequencies. It employs random bits to calculate
via simpler circuits and with greater tolerance for errors. As a
computing paradigm, SC is currently undergoing a revival.
Since stochastic circuits have a small size, SC has regained
interest recently due to its potential usage in some emerging
nanotechnologies. In this paper, we briefly present stochastic
computing and discuss its applications, benefits, and
challenges.
Keywords: Stochastic computing, unconventional computing, probabilistic computing
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165 |
Research Title: Modified phase locked loop for grid connected single phase inverter
Author: Emad A. Awada, Published Year: 2019
Faculty: Engineering and Technology
Abstract: Connecting a single-phase or three-phase inverter to the grid in distributed
generation applications requires synchronization with the grid.
Synchronization of an inverter-connected distributed generation units in its
basic form necessitates accurate information about the frequency and phase
angle of the utility grid. Phase Locked Loop (PLL) circuit is usually used for
the purpose of synchronization. However, deviation in the grid frequency
from nominal value will cause errors in the PLL estimated outputs, and that’s
a major drawback. Moreover, if the grid is heavily distorted with low order
harmonics the estimation of the grid phase angle deteriorates resulting in
higher oscillations (errors) appearing in the synchronization voltage signals.
This paper proposes a modified time delay PLL (MTDPLL) technique that
continuously updates a variable time delay unit to keep track of the variation
in the grid frequency. The MTDPLL is implemented along a Multi-Harmonic
Decoupling Cell (MHDC) to overcome the effects of distortion caused by
gird lower order harmonics. The performance of the proposed MTDPLL is
verified by simulation and compared in terms of performance and accuracy
with recent PLL techniques.
Keywords: Multi-harmonic decoupling Phase locked loop Variable timedelay adjustment
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166 |
Research Title: The Algorithm of Testing ADC Effective Number of Bits Based on Hilbert and Wavelet Transform
Author: Emad A. Awada, Published Year: 2019
3rd International Conference on Information System and Data Mining, Houston, Texas, USA
Faculty: Engineering and Technology
Abstract: In today advanced digital signal processing, many parameters
must be tested to evaluate the accuracy performance of system
output. Therefore, focusing down into an essential part of signal
converts (Analog to Digital Converts) is a must prior to any
system evaluations. As a result, this work will emphasize on the
testing enhancement of Analog to Digital Converts parameters,
such as Effected Number of Bits, to determine the accuracy of
waveform regeneration and device performance with a newly
implemented algorithm. That is, a new algorithm based on
structuring Discrete Wavelet transform decomposition on prior
interleave Hilbert transform, of Analog to Digital Converts output
waveform, to measure Converts ability to reproduce a waveform
in their full capacity. With such arrangement, the new algorithm
intends to improve previous work for the testing process, higher
testing accuracy, fewer computation data samples, and provide a
platform of modulation process for other parameters measurement
at the same time.
Keywords: Analog-to-Digital Converters (ADCs), Effective Number of Bits (ENOB), Discrete Wavelet Transforms (DWT), Hilbert Transform.
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167 |
Research Title: Hilbert Based Testing of ADC Differential Non-linearity Using Wavelet Transform Algorithms
Author: Emad A. Awada, Published Year: 2017
International Journal of Electrical and Computer Engineering (IJECE), 8
Faculty: Engineering and Technology
Abstract: In testing Mixed Signal Devices such as Analog to Digital and Digital to
Analog Converters, some dynamic parameters, such as Differential NonLinearity and Integral Non-linearity, are very critical to evaluating devises
performance. However, such analysis has been notorious for complexity and
massive compiling process. Therefore, this research will focus on testing
dynamic parameters such as Differential Non-Linearity by simulating
numerous numbers of bits Analog to Digital Converters and test the output
signals base on new testing algorithms of Wavelet transform based on Hilbert
process. Such a new testing algorithm should enhance the testing process by
using less compiling data samples and prompt testing results. In addition,
new testing results will be compared with the conventional testing process of
Histogram algorithms for accuracy and enactment.
Keywords: Differential Non-Linearity Digital-to-Analog Converters Discrete Wavelet Transform Hilbert Transform
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168 |
Research Title: Fuzzy Logic Control for Low-Voltage Ride-Through Single-Phase Grid-Connected PV Inverter
Author: Emad A. Awada, Published Year: 2019
Faculty: Engineering and Technology
Abstract: : This paper presents a control scheme for a photovoltaic (PV) system that uses a single-phase
grid-connected inverter with low-voltage ride-through (LVRT) capability. In this scheme, two PI
regulators are used to adjust the power angle and voltage modulation index of the inverter; therefore,
controlling the inverter’s active and reactive output power, respectively. A fuzzy logic controller
(FLC) is also implemented to manage the inverter’s operation during the LVRT operation. The FLC
adjusts (or de-rates) the inverter’s reference active and reactive power commands based on the grid
voltage sag and the power available from the PV system. Therefore, the inverter operation has been
divided into two modes: (i) Maximum power point tracking (MPPT) during the normal operating
conditions of the grid, and (ii) LVRT support when the grid is operating under faulty conditions.
In the LVRT mode, the de-rating of the inverter active output power allows for injection of some
reactive power, hence providing voltage support to the grid and enhancing the utilization factor of
the inverter’s capacity. The proposed system was modelled and simulated using MATLAB Simulink.
The simulation results showed good system performance in response to changes in reference power
command, and in adjusting the amount of active and reactive power injected into the grid
Keywords: grid-connected inverter; fuzzy logic control; low-voltage ride-through; photovoltaic system
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169 |
Research Title: Exascale Computing (Supercomputers): An Overview of Challenges and Benefits
Author: Emad A. Awada, Published Year: 2020
Faculty: Engineering and Technology
Abstract: Exascale computing is the term given to the
next 50-100 fold increase in speed over the fastest
supercomputers in use today. This super powerful
machine is poised to transform modeling and simulation
in science and engineering. It is hoped that the exascale
machines will solve some or all of the major problems
that are facing us today. This paper provides a brief
introduction to exasclae computing where implementation
and applications of such a system will be discussed to
point out the venture challenges and tremendous benefits
of function execution precision, fast data compiling and
many other improving system qualities
Keywords: Exascale computing, supercomputers, transform, engineering
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170 |
Research Title: Analysis of SFDR Using Power Spectrum Based on Wavelet Extraction
Author: Emad A. Awada, Published Year: 2017
International Journal of Applied Engineering Research, 11
Faculty: Engineering and Technology
Abstract: The high frequency of advanced digital signal processing and
data analysis in wide range of everyday data computing
applications has propagated the uses of Analog to Digital
Converters. However, such a converter can be very crucial
and critical for some applications. Especially with the use of
sensitive equipment's, errors or deviations from original signal
could lead to catastrophic results. Therefore, testing output
signal for dynamic parameters can always define the
performance of the converters. In this research, the dynamic
range parameters of Spurious-Free Dynamic Range will be
tested using FFT testing application process based on Wavelet
decomposition algorithms. This new proposes testing
technique will utilize Wavelet special characteristic of
decomposition feature, reduce compiling sample data, and
expedite testing process. The new propose testing technique
will be compared with conventional method of FFT
application in term of accuracy, variance, and number of
collect and computed samples.
Keywords: Spurious-Free Dynamic Range, Analog to Digital Converters, Wavelet Transform
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