Research Title: Unified Matrix Processor Design for FCT-IV and FST-IV Hartley Based Transforms

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2006

Faculty: Engineering and Technology

Abstract: A new Unified Fast Shifted Cosine and Sine Transform Matrix Processor based on fast Hartley Transform is presented and described. It is also shown that the decimation-in-frequency (DIF) FCTIV and FST-IV can be computed using the same building blocks which are used for computing decimation-in-time FCT-IV and FST-IV. A Unified Fast Shifted Cosine and Sine Transform Matrix Processor can be designed to compute either the DCT-IV or DST-IV depending on a single line control signal.

Keywords: Matrix Processor , FCT-IV, FST-IV, Hartley Transform.

Research Title: FCT-Based Convolution, Filtering and Correlation of Signals' Unified Structure

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2008

Faculty: Engineering and Technology

Abstract: This paper focuses on constructing efficient algorithms of the main DSP discrete procedures : convolution, correlation functions and filtering of signals based on discrete cosine transform (DCT-II) and presenting them using unified structure . This structure is very useful in reducing the computational complexity by 3 N 2 − real multiplications and 2 N − real additions in comparison with indirect fast Fourier transforms )FFT) based algorithms calculated through fast cosine transform (FCT). The DCT and its fast calculation ways effectively can be used to calculate convolution, filtering and correlation of signals. For their calculating, the classic schema( two DCT + product of cosine spectrums + IDC) will be save. )

Keywords: Convolution, Filtering and Correlation of Signals, Fast Fourier Transform (FFT), Fast Cosine Transform (FCT).

Research Title: Wireless Gateway Programming Model

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2010

Faculty: Engineering and Technology

Abstract: This paper suggests architecture for Wireless Gateway Programming Model that consists of building blocks to solve the main WAP Gateway functions. The design of the suggested architecture takes into consideration the technical and business problems of wireless environment. The paper describes various fundamental aspects of the WAP model, the integration of the wireless networks over the internet technologies according to the topics related to the security, caching, state management, etc.

Keywords: Wireless Application Protocol (WAP), Wireless Gateway, WAP Client, WAPSecurity, WAP Gateway Programming Model.

Research Title: A Note on the Generalization of Elite Primes

Author: Feras Awad Mahmoud, Published Year: 2009

JP J. Algebra Number Theory Appl., 15

Faculty: Science

Abstract: Elite primes are prime numbers, modulo which all but finitely many Fermat numbers F_n=2^2^n+1, are quadratic nonresidues. This definition has been extended using the generalized Fermat numbers F_{b,n}=b^2^n+1 and the associated primes are called b-elite primes. We consider, as an alternate generalization, the b-elite primes with respect to the sequence F_{b,n}/2 where b is odd. We present some arguments for this modification and make necessary adjustments to the classification results when the period length is one or two. Furthermore, we search for elite and anti-elite primes to the base b=3 up to 2.68 billion.

Keywords: elite primes, generalized Fermat numbers.

Research Title: Parallel algorithm for the solutions of PDEs in linux clustered workstations

Author: Feras Awad Mahmoud, Published Year: 2008

Applied Mathematics and Computation, 200

Faculty: Science

Abstract: In this paper we propose parallel algorithm for the solution of partial differential equations over a rectangular domain using the Crank–Nicholson method by cooperation with the DuFort–Frankel method and apply it on a model problem, namely, the heat conduction equation. One of the well known parallel techniques in solving partial differential equations in cluster computing environment is the domain decomposition technique. Using this technique, the whole domain is decomposed into subdomains, each of them has its own boundaries that are called the interface points. Parallelization is realized by approximating interface values using the unconditionally stable DuFort–Frankel explicit scheme, and these values serve as Neumann boundary conditions for the Crank–Nicholson implicit scheme in the subdomains. The numerical results show that our algorithm is more accurate than the algorithm based on the forward explicit method to approximate the values of the interface points, especially, when we use a small number of time steps. Moreover, these numerical results show that increasing the number of processors which are used in the cluster, yields an increase in the algorithm speedup.

Keywords: Heat conduction equation; Parallel computing; Domain decomposition; Crank–Nicholson; DuFort–Frankel

Research Title: A Hierarchical MRAC-Based Neuro-Controller for Robots in Flexible Manufacturing Systems

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: In one hand, the Model Reference Adaptive Control (MRAC) architecture has been widely used in linear adaptive control field. The control objective is to adjust the control signal in a stable manner so that the plant’s output asymptotically tracks the reference model’s output. The performance will depend on the choice of a suitable reference model and the derivation of an appropriate learning scheme. While in the other hand, clusters analysis has been employed for many years in the field of pattern recognition and image processing. To be used in control the aim is being to find natural groupings among a set of collected data. The mean-tracking clustering algorithm is going to be used in order to extract the input-output pattern of rules from applying the suggested MRAC scheme. These rules will be learnt later using the widely used Multi-layer perceptron neural network to gain all the benefits offered by those nets. A hierarchical MRAC based Neuro-controller is suggested to control robots in a flexible manufacturing system. This proposed controller will be judged for different simulated cases of study to demonstrate its capability in dealing with such a system.

Keywords: MRAC, mean-tracking clustering algorithm, MLP neural nets (BNN), computer control, real-time systems, robots, FMS.

Research Title: A VIRTUAL REALITY BASED EDUCATIONAL MODULE FOR KNOWLEDGE LEARNING & SKILLS TRAINING

Author: Kasim Mousa Al-Aubidy, Published Year: 1999

Faculty: Engineering and Technology

Abstract: Advances in computers and multimedia technology have changed traditional methods for learning and skills training. Today, multimedia education has been popular, it can provide an environment where virtual reality can be used to create interactive interfaces and real-time software can monitor every response made by the user. This paper presents an attempt to introduce the concepts of fuzzy set theory and multimedia technology in the design of a virtual reality based educational module. Such a module can deal with uncertainties in the knowledge acquisition, representation and decision making. It provides a powerful educational tool that can assist users in learning and training without actually handling real tools.

Keywords: Computer aided learning & training, Fuzzy set theory, Decision making, Multimedia technology, Software Engineering, Virtual reality systems.