Research Title: An Extended Knowledge Management Framework During Software Development Life Cycle

Author: Ali Ahmad Alawneh, Published Year: 2008

The International Technology Management Review, 1(2)

Faculty: Business

Abstract: Knowledge is one of the organization’s most important values that influencing its competitiveness. One way to capture organization’s knowledge and make it available to all their members is through the use of knowledge management systems. In this paper I discussed the importance of knowledge management in software development and I presented an infrastructure to deal with knowledge management in software engineering environments (SEEs). Knowledge is one of the organization’s most valuable assets. In the context of software development, knowledge management can be used to capture knowledge and experience generated during the software process. This Research paper addresses a new way of thinking about the role of knowledge management in software engineering environments through developing a new extended hybrid framework that combines a five types of knowledge( user requirements knowledge, functional domain knowledge, technical knowledge, project status knowledge, and project experience knowledge) with five phases of software development ( planning, analysis, design, implementation , and maintenance & support) with five phases of knowledge management life cycle( capture, creation , codification, communication, and capitalization). This new framework I called “An Extended Knowledge Management Framework during Software Development Life Cycle". This paper highlights on knowledge management in software environments, its challenges, opportunities, implementation, and its success factors.

Keywords: software development (SD), knowledge (K), knowledge management (KM), organizational memory (OM), requirements knowledge, domain knowledge, technical knowledge.

Research Title: Maximum Power Point Neuro-Fuzzy Tracker for Photovoltaic Arrays

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

Faculty: Engineering and Technology

Abstract: Photovoltaic systems can meet virtually any electric power need and are used for several applications including satellites, telecommunications, homes, factories and businesses. Advancements in efficiency and cost reduction have made photovoltaic systems economically competitive with traditional power sources. This paper presents an intelligent method of maximum power point tracking for photovoltaic systems. The tracking algorithm is based on tracking the maximum power point by measuring the voltage and current of the solar array and computing the required duty cycle of the PWM signal to control a switch of a buck-boost DC to DC converter. Both conventional fuzzy logic controller and neuro-fuzzy controller are implemented to evaluate PV system performance. Obtained results show that the neuro-fuzzy controller can deal with different load and weather conditions and deliver more power from the photovoltaic systems.

Keywords: Photovoltaic System, Solar cells, Fuzzy logic, Neuro-fuzzy, Maximum power point tracking.

Research Title: TOWARDS SELF-CONFIGURABLE OVERLAY NETWORKS

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

Faculty: Engineering and Technology

Abstract: The rapid growth of networks and services has introduces new complex environments. To cope with this complexity, IBM proposed autonomic computing. It allows systems to mange themselves instead of relying on IT professionals. On the other hand, overlay networks are getting a great attention due to the reliable and effective services that they provide. With the increased number of mobile users and services, overlay networks management is becoming more complex. Self-configuration has been used to solve overlay networks management complexity through creating a self-configured environment that can respond automatically and transparently to changing conditions. In this paper we provide a thorough survey of self-configuration systems and present their basic concepts, architectures, and challenges in addition to presenting a proposed self-configuration architecture for multimedia delivery services.

Keywords: self-configuration, autonomic computing, overlay networks, management complexity

Research Title: AUTONOMIC MULTIMEDIA DELIVERY SERVICES SELF-CONFIGURATION

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

Faculty: Engineering and Technology

Abstract: The rapid growth of networks and services has introduces new complex environments. To cope with this complexity, IBM proposed autonomic computing. It allows systems to mange themselves instead of relying on IT professionals. On the other hand, overlay networks are getting a great attention due to the reliable and effective services that they provide. With the increased number of mobile users and services, overlay networks management is becoming more complex. Selfconfiguration can be used to solve overlay networks management complexity through creating a self-configured environment that can respond automatically and transparently to changing conditions. In this paper we provide a thorough survey of self-configuration systems and present their basic concepts, architectures, and challenges in addition to presenting a proposed self-configuration architecture for multimedia delivery services.

Keywords: self-configuration, autonomic computing, overlay networks, management complexity.

Research Title: Design and Evaluation of a Fuzzy-Based CPU Scheduling Algorithm

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

Faculty: Engineering and Technology

Abstract: Scheduling in computer science means determining which tasks run when there are multiple runnable tasks. Several CPU scheduling algorithms have different features, and no single one is ideal absolutely for every application. This paper presents an attempt to apply fuzzy logic in the design and implementation of a rule-based scheduling algorithm to solve the shortcoming of well-known scheduling algorithms. Results given in this paper demonstrate that the average waiting time and the average turnaround time in the proposed algorithm are better than that obtained using priority scheduling, and closed to that obtained from shortest-job-first (SJF) scheduling. The new proposed algorithm is a dynamic scheduling algorithm which deals with both task priority and its execution time, while the SJF algorithm doesn’t.

Keywords: Task Scheduling; Fuzzy Decision Making; Operating Systems; Real- Time Systems.

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