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Search Results: 1 - 10 of 109 matches for " Fawaz Alsaade "
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Syntax-Tree Regular Expression Based DFA FormalConstruction  [PDF]
Nazir Ahmad Zafar, Fawaz Alsaade
Intelligent Information Management (IIM) , 2012, DOI: 10.4236/iim.2012.44021
Abstract: Compiler is a program whose functionality is to translate a computer program written in source language into an equivalent machine code. Compiler construction is an advanced research area because of its size and complexity. The source codes are in higher level languages which are usually complex and, consequently, increase the level of abstraction. Due to such reasons, design and construction of error free compiler is a challenge of the twenty first century. Verification of a source program does not guarantee about correctness of code generated because the bugs in compiler may lead to an incorrect target program. Therefore, verification of compiler is more important than verifying the source programs. Lexical analyzer is a main phase of compiler used for scanning input and grouping into sequence of tokens. In this paper, formal construction of deterministic finite automata (DFA) based on regular expression is presented as a part of lexical analyzer. At first, syntax tree is described based on the augmented regular expression. Then formal description of important operators, checking nullability and computing first and last positions of internal nodes of the tree is described. In next, the transition diagram is described from the follow positions and converted into deterministic finite automata by defining a relationship among syntax tree, transition diagram and DFA. Formal specification of the procedure is described using Z notation and model analysis is provided using Z/Eves toolset.
A Study of Neural Network and its Properties of Training and Adaptability in Enhancing Accuracy in a Multimodal Biometrics Scenario
Fawaz Alsaade
Information Technology Journal , 2010,
Abstract: The main aim of this study was to present investigations for enhancing the accuracy of multimodal biometrics by introducing the neural network into the score-level fusion process. Presently, various fusion techniques are being widely used in combining separate information from different modalities to provide complementary data. The resilient backpropagation training algorithm was used for this purpose. The effectiveness of the proposed method is to benefit from the properties of training and adaptability of the neural network technique. The experimental investigations involved the recognition mode of verification in mixed-quality data conditions. It was found during the study that by deploying such technique at the score level, the system error rate can be reduced considerably. The study presented the motivation and the potential advantages of the proposed approach and the details of the experimental study.
Efficient Cellular Automata Algorithm for Template Matching
Fawaz Alsaade,Yasser Fouda,Abdul Raouf Khan
Journal of Artificial Intelligence , 2012,
Abstract: Template matching plays an important role in the field of Artificial Intelligence (AI) and it has been used in many applications related to computer vision and image processing such as object recognition and industrial inspection. The main objective of this study was to introduce an appropriate template matching algorithm to enhance the performance of template matching system. The investigation was based on using Cellular Automata with Rule 170 (CA-R170). The main idea of the proposed technique was based on eliminating some of the undesirable area in the binary source images and their corresponding binary template images. The experimental investigations used two sets of color and gray scale images with different sizes and illumination. Experimental results showed that the proposed method can significantly improve the accuracy and execution time of template matching system.
Wireless Sensor Network (WSN): Routing Security, Reliability and Energy Efficiency
Noor Zaman,Low Tang Jung,Fawaz Alsaade,Turki Alghamdi
Journal of Applied Sciences , 2012,
Abstract: Wireless Sensor Networks (WSNs) differ from conventional network in deployment, application and working mechanism. Sensor networks are always resource constraint and small in size, computation and memory storage. In WSN, sensor nodes are normally distributed openly in harsh environment and have open access for inside and outside menaces which could adversely affect their proper functioning. These threats became the source for choking of resources and loss of energy. This study focused on operational and architectural challenges for handling secure, reliable routing in wireless sensor network and proposed new mechanisms to secure reliable energy efficient routing protocol. The proposed methods were based on adding secondary route and secondary gateway to the clustering network. The simulation results for the proposed methods showed that overall network energy efficiency increased by approximately 25% and the possible security threats decreased by about 41% when compared to the clustered network. The paper presented the motivation for the proposed approaches and details of the simulation tests.
(EERSM): Energy-Efficient Multi-Hop Routing Technique in Wireless Sensor Networks Based on Combination between Stationary and Mobile Nodes  [PDF]
Fawaz Alassery
Journal of Computer and Communications (JCC) , 2019, DOI: 10.4236/jcc.2019.74004
Abstract: In Wireless Sensor Network (WSNs), sensor nodes collect data and send them to a Base Station (BS) for further processing. One of the most issues in WSNs that researchers have proposed a hundred of technique to solve its impact is the energy constraint since sensor nodes have small battery, small memory and less data processing with low computational capabilities. However, many researches efforts have focused on how to prolong the battery lifetime of sensor nodes by proposing different routing, MAC, localization, data aggregation, topology construction techniques. In this paper, we will focus on routing techniques which aim to prolonging the network lifetime. Hence, we propose an Energy-Efficient Routing technique in WSNs based on Stationary and Mobile nodes (EERSM). Sensing filed is divided into intersected circles which contain Mobile Nodes (MN). The proposed data aggregation technique via the circular topology will eliminate the redundant data to be sent to the Base Station (BS). MN in each circle will rout packets for their source nodes, and move to the intersected area where another MN is waiting (sleep mode) to receive the transmitted packet, and then the packet will be delivered to the next intersected area until the packet is arrived to the BS. Our proposed EERSM technique is simulated using MATLAB and compared with conventional multi-hop techniques under different network models and scenarios. In the simulation, we will show how the proposed EERSM technique overcomes many routing protocols in terms of the number of hops counted when sending packets from a source node to the destination (i.e. BS), the average residual energy, number of sent packets to the BS, and the number of a live sensor nodes verse the simulation rounds.
A Mobile Robot Solving a Virtual Maze Environment
Fawaz Annaz
International Journal of Electronics, Computer and Communications Technologies , 2012,
Abstract: The aim of this paper is to introduce a new concept in robot-maze solving, that is, the use of virtual maze in examining the performance and efficiency of various types of robots with various onboard algorithms. It is proposed that a mobile robot is to navigate its way in a virtual environment, which exists in a computer-world and is either gradually or fully revealed to the robot via wireless communications. The robot will then use its onboard algorithm to navigate its way through the maze, feeding back its position to the virtual maze. The paper will present a GUI interface that sets up the virtual maze and will explain the virtual maze coordinates system. The robot will use the Modified Wall-Following Navigation algorithm to navigate its way through the virtual maze, according to the revealed surroundings. The paper will then compare Navigation versus simulation, and robot absolute direction and its importance during navigation, as the robot sides vary according to the direction it is facing. The approach adopted here offers a maze-mobile robot real-time merging, with robot performance tracking and rapid (on-the-fly) algorithms development for environments with fixed, variable or random architectures and start-goal points.
Melt Rheology of Poly(Lactic Acid)/Low Density Polyethylene Polymer Blends  [PDF]
Kotiba Hamad, Mosab Kaseem, Fawaz Deri
Advances in Chemical Engineering and Science (ACES) , 2011, DOI: 10.4236/aces.2011.14030
Abstract: In this work, rheological properties of poly (lactic acid) (PLA), low density polyethylene (LDPE) polymer blends were investigated in the molten state. The experiments were carried on a capillary rheometer. The effect of shear stress, temperature and blending ratio on the flow activation energy at a constant shear stress and melt viscosity of the blends are described. The results showed that the PLA/LDPE polymer blends are pseudo plastic in nature, where there viscosity decreases with increasing shear stress. Also it was found the melt viscosity of the blends decreases with increasing PLA content in the blend.
Preparation and Characterization of Binary and Ternary Blends with Poly(Lactic Acid), Polystyrene, and Acrylonitrile-Butadiene-Styrene  [PDF]
Kotiba Hamad, Mosab Kaseem, Fawaz Deri
Journal of Biomaterials and Nanobiotechnology (JBNB) , 2012, DOI: 10.4236/jbnb.2012.33040
Abstract: Binary and ternary blends of poly(lactic acid) (PLA), polystyrene (PS) and acrylonitrile-butadiene-styrene (ABS) were prepared using a one-step extrusion process. Rheological and mechanical properties of the prepared blends were determined. Rheological properties were studied using a capillary rheometer, shear rate, shear stress, non-Newtonian index, shear viscosity and flow activation energy were determined. Mechanical properties were studied in term of tensile properties, stress at break, strain at break, and Young’s modulus were determined. The effect of the composition on the rheological and mechanical properties was investigated. The results show that the ternary blend exhibits shear-thinning behavior over the range of the studied shear rates where the true shear viscosity of the blend decreases with increasing true shear rate, also it was found that the true viscosity of the blend decreases with increasing ABS content. The mechanical results showed that, in the most cases, the stress at break and the Young’s modulus improved by the addition of ABS.
Prepared of Olive Oil Doped SiO2 via Sol-Gel Technique  [PDF]
Fawaz Nasro Saiof, Mohammed Alwan Hamza
Advances in Materials Physics and Chemistry (AMPC) , 2013, DOI: 10.4236/ampc.2013.35034
Abstract: Olive oil doped Nanosilica is successfully prepared by wet chemical synthesis method. Samples were analyzed by a variety of techniques, including X-ray diffraction, FTIR, absorption and emission spectrometers to report the capability of Sol-Gel technology on preparing of silica monolith as a host material for Olive oil, and investigate the effect of converting Olive oil to a solid state on its optical properties. Some absorption bands of Olive oil are disappearing from absorption spectrum of doped silica. Only single strong fluorescence peak was appearing in fluorescence spectrum of pure Olive oil at wavelength around 678 nm which attributed to chlorophylls, while fluorescence spectrum to doped sample shows two strong fluorescence peaks at the wavelength 681 nm and 585 nm which attributed to chlorophylls and Vitamin E respectively. The doping process enhances fluorescence activity of Olive oil through enhancing intensity of the fluorescence peak corresponding to Vitamin E. Absorption and fluorescence spectrums to doped silica sample give a good indication in direction of using Sol-Gel technique to prepare for Olive oil doped SiO2 as an optical active material.
Recurrent Hydatidiform Molar Pregnancy: A Case Report of 5 Consecutive Molar Pregnancies Complicated by HELLP and DIC, and Review of Literature  [PDF]
Fawaz Khaza’leh, Kareem Haloub, Mazen Freij
Open Journal of Obstetrics and Gynecology (OJOG) , 2015, DOI: 10.4236/ojog.2015.512102
Abstract: Hydatidiform mole is the most common form of gestational trophoblastic disease. Recurrent molar pregnancies are extremely rare. Herein, we reported the case of a patient with five consecutive molars; four of them were complete mole, and one was partial mole complicated by HELLP syndrome and DIC.
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