Manama, Bahrain
Manama, Bahrain

Ahlia University is a private university in Manama, Bahrain,established in 2001. Wikipedia.

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Al-Obaidy H.S.,Ahlia University | Al Heela A.,Arabian Gulf University
Applied Mathematics and Information Sciences | Year: 2012

In this paper, we describe the semantic annotation process for developing a semantic web application to a university's library. Semantic annotation is the step that adds the effectiveness and reality to the semantic web application. It is annotating the documents published and distributed throughout the Web. The semantic annotation in this paper concerns about the research papers of the university's faculty. Semantic annotation is nothing but tagging the instances data of ontology already created with classes then map in to the related ontology classes. Here we are going to use two tools for building annotation library, these tools are: OntoMat and OntoStudio. © 2012 NSP.

Hamiane M.,Ahlia University
International Journal of Biology and Biomedical Engineering | Year: 2015

The Electrocardiogram (ECG) is a diagnostic tool that measures and records the electrical activity of the heart. Interpretation of the ECG signal allows diagnosis of a wide range of heart conditions. These conditions can vary from minor to life threatening. In this paper real ECG records provided by the MIT-BIH Arrhythmia Database are used to build an efficient mechanism for detecting abnormalities in the ECG records. Prior to the detection, selected filters are used to eliminate any interference while maintaining the useful information within the signal. Detection of Heartbeat-related abnormalities of other heart diseases such as AV blockage and Ventricular Fibrillation is implemented. Results of ECG signal preprocessing and abnormality detection demonstrate the suitability of the selected filtering techniques and the efficiency of the detection mechanisms.

Al-Dallal A.,Ahlia University
Lecture Notes in Engineering and Computer Science | Year: 2013

Several techniques are proposed to retrieve the most relevant HTML documents to user query. Among these techniques is the genetic algorithm which iteratively creates several generations using selection, crossover and mutation before producing the final result. In this paper, a new hybrid crossover technique is proposed to enhance the quality of the retrieved results. This technique is applied to HTML documents and evaluated using recall, precision and recallprecision measures. Its performance is compared to three well known techniques of crossover. The results show high improvement in the quality of the retrieved documents in terms of these measures.

Hamiane M.,Ahlia University
Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011 | Year: 2011

Shoeprints are recently of great interest to police and forensic scientists. Researchers examine how police's search into crime scenes could be enhanced through matching suspects shoeprints using automated computer systems. In this paper we attempt to study and compare two shape descriptors which have been adopted for shoeprint matching, these are: Hu's moment invariants (HMI) and the combined Topological and Pattern Spectra (TPS) descriptors. Shape descriptors in the Content-based Image Retrieval (CBIR) should satisfy several properties such as compact representation, robustness, retrieval performance and computation complexity. A database of 500 'clean' shoeprints is used to evaluate the performance of the techniques. Five test databases are generated, each with 2500 images degraded with Gaussian noise. Retrieval results demonstrate the comparison between the two methods against these properties.

Abdulwahhab R.S.,Ahlia University
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012 - Proceedings | Year: 2012

BNGA is a computer programs production that employs the engine of GA as a base for building its programs. BNGAs' genotypes (solutions) have a list of integers that are used to develop the phenotypes (programs). These phenotypes are developed by using the grammatical syntax of the programming language. In this paper, BNGA is investigated and designed to study the symbolic regression and classification problems. Detailed analysis of these problems are examined and the results were clearly in favor of BNGA. All results were compared experimentally with other suggested techniques. Through these experiments, BNGA proved as a competitive approach that can be applied in practice to solve the problems of both computer science and engineering. © 2012 IEEE.

Hamiane M.,Ahlia University | Ali M.H.,Ahlia University
International Journal of Applied Engineering Research | Year: 2014

This paper presents the simulation of an ECG signal and the study and analysis of the ECG signal using Wavelet transform in MATLAB. This study includes the generation as well as the simulation of an ECG signal, processing an ECG signal, and last but not least, analysing the ECG signal for the purpose of detecting heart beat-related abnormalities. With the help of MATLAB's toolboxes and its built-in functions, real time ECG signals can be generated with more precision and accessibility. Wavelet decomposition is used for the removal of noise from the generated signals prior to further analysis. Simulation results are presented to illustrate the adequacy of using Daubechies wavelets for the analysis of ECG signals. © Research India Publications.

Hamiane M.,Ahlia University
International Journal of Electrical and Computer Engineering | Year: 2014

In many Engineering applications, analog circuits present many advantages over their digital counterparts and have recently been particularly used in a wide range of signal processor circuits. In this paper, an analog non-linear function synthesizer is presented based on a polynomial expansion model. The proposed function synthesizer model is based on a 10th order polynomial approximation of any of the required non-linear functions. The polynomial approximations of these functions can then be implemented using basic CMOS circuit blocks. The proposed circuit model can simultaneously synthesize and generate many different mathematical functions. The circuit model is designed and simulated with HSPICE and its performance is demonstrated through the simulation of a number of non-linear functions. Copyright © 2014 Institute of Advanced Engineering and Science. All rights reserved.

Jameel A.J.,Ahlia University
2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10 | Year: 2010

In this paper, we describe the concatenation of Turbo/Convolutional codes with transmit and receive diversity schemes by using Space-Time Block Code. It is shown that, by using two transmit antennas and one/or two receive antenna, large coding gain for the bit error rate is achieved over the system without diversity. Simulation results show that, by using systems with transmit and receive diversity, high gain can be achieved with very low complexity. It turns out that at BER = 10-4, the gain of 9 dB can be achieved for system using STTD transmit diversity only (without using any channel codes) and 2 dB gain can be achieved over channel coding systems using hard-decision decoding with much lower complexity. The most important conclusion is that, using soft-decision decoding systems enhanced with transmit diversity can provide very high coding gain; e.g., in convolutional coded system using soft-decision Viterbi decoder, the coding gain is 12 dB over uncoded system and 5 dB over hard-decision decoding in flat fading channel, while the coding gain is about 13 dB for turbo coded systems using soft-decision decoding based on SOVA algorithm with transmit diversity and the coding gain is 15 dB if the decoder is based on Log-MAP algorithm. In systems using transmit and receive diversity, the coding gain is much higher, e.g., for convolutional-coded systems, the coding gain is 20 dB, while for turbo-coded systems using SOYA and Log-MAP algorithms, the coding gain are a little more than 20 dB and 21 dB, respectively. ©2010 IEEE.

Al-Dallal A.,Ahlia University
IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence | Year: 2015

This paper proposes a new solution for Traveling Salesman Problem (TSP) using genetic algorithm. A combinational crossover technique is employed in the search for optimal or near-optimal TSP solutions. It is based upon chromosomes that utilise the concept of heritable building blocks. Moreover, generation of a single offspring, rather than two, per pair of parents, allows the system to generate high performance chromosomes. This solution is compared with the well performing Ordered Crossover (OX). Experimental results demonstrate that, due to the well structured crossover technique, has enhanced performance. Copyright © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

El Kadhi N.,Ahlia University | Hadjar K.,Ahlia University | El Zant N.,Ahlia University
Journal of Software | Year: 2012

Nowadays any intrusion detection system should include decision making feature. Each network administrator, in his everyday job, is overwhelmed with a big number of events and alerts. It is a challenge to be able to take correct decisions and to classify events according to their accuracy. That's why we need to provide the administrator with the right tools in order to help him taking the correct decision. For this purpose, we suggest an Artificial Neural Networks (ANN) architecture for decision making within intrusion detection systems. Having in mind our IMA IDS solution [20] that presents a global agent architecture for enhanced intrusion network based solution, we are including ANN as a major decision algorithm using the learning and adaptive features of ANN. This inclusion aims to increase respectively efficiency, by reducing the fault positive, and detection capabilities by allowing detection with partial available information on the network status. © 2012 ACADEMY PUBLISHER.

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