Research Title: Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition

Author: Mohammed Mahdi Ali, Published Year: 2020

Sensors, 20, 10

Faculty: Engineering and Technology

Abstract: Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and implementation of a voice controlled electric wheelchair. This design is based on voice recognition algorithms to classify the required commands to drive the wheelchair. An adaptive neuro-fuzzy controller has been used to generate the required real-time control signals for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and a voice recognition classifier. The wheelchair is considered as a node in a wireless sensor network in order to track the position of the wheelchair and for supervisory control. The simulated and running experiments demonstrate that, by combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility.

Keywords: wheelchair control; voice recognition; autonomous wheelchair; ANFIS; V-REP; mechatronics

Research Title: Power Peaks Allocation Based on Averaging-Adaptive Wavelet Transform

Author: Mohammed Mahdi Ali, Published Year: 2016

International Journal of Circuits, Systems and Signal Processing, 10

Faculty: Engineering and Technology

Abstract: One of Orthogonal Frequency Division Multiplexing deficiency has been taken into consideration in this work. A proposition has been made to tackle the Peak to Average Power Ratio (PAPR) problem. The proposed work will be based on a special averaging adaptive wavelet transformation (SAAWT) process. It will be compared with two main works that has been published previously; a neural network (NN)-based and a special averaging technique (SAT)-based. In the NN work, the learning process makes use of a previously published work that is based on three linear coding techniques. The proposed work (SAAWT) consists of three main stages; extracting the needed features, de-noising and the optimization criterion. SAAWT has an enhancement over the SAT that will take the noise clearance enhancement into its consideration. It uses 136880 different combinations of de-noising parameters that are experimentally computed to get the most efficient result with respect to the MSE, SNR and PSNR values. A MATLAB simulation-based of such works has been made in order to check the proposition performance. In this simulation, both of the BER and CCDF curves have been taken into consideration. Furthermore, the bandwidth and channel behaviors have been remaining constant. Moreover, two kinds of data have been imposing to this simulation; a random data that is generated randomly by making use of the MATLAB features and a practical data that have been extracted from a funded project entitled by ECEM. From the previously published work the SAT shows promising results in reducing the PAPR effect reached up to 75% over the work in the literature and over the NN-based work. Under the cost of increasing complexity, SAAWT gives further reduction over the SAT reaches up to 6%. This drawback will be examined in the future work.

Keywords: Orthogonal Frequency Division Multiplexing, Neural Network, Linear Codes, De-noising Parameters, Wavelet, Moving Average Filter

Research Title: Efficiency enhancement based on allocating bizarre peaks

Author: Mohammed Mahdi Ali, Published Year: 2016

International Journal of Wireless & Mobile Networks (IJWMN), 8, 4

Faculty: Engineering and Technology

Abstract: A new work has been proposed in this paper in order to overcome one of the main drawbacks that found in the Orthogonal Frequency Division Multiplex (OFDM) systems, namely Peak to Average Power Ratio (PAPR). Furthermore, this work will be compared with a previously published work that uses the neural network (NN) as a solution to remedy this deficiency. The proposed work could be considered as a special averaging technique (SAT), which consists of wavelet transformation in its first stage, a globally statistical adaptive detecting algorithm as a second stage; and in the third stage it replaces the affected peaks by making use of moving average filter process. In the NN work, the learning process makes use of a previously published work that is based on three linear coding techniques. In order to check the proposed work validity, a MATLAB simulation has been run and has two main variables to compare with; namely BER and CCDF curves. This is true under the same bandwidth occupancy and channel characteristics. Two types of tested data have been used; randomly generated data and a practical data that have been extracted from a funded project entitled by ECEM. From the achieved simulation results, the work that is based on SAT shows promising results in reducing the PAPR effect reached up to 80% over the work in the literature and our previously published work. This means that this work gives an extra reduction up to 15% of our previously published work. However, this achievement will be under the cost of complexity. This penalty could be optimized by imposing the NN to the SAT work in order to enhance the wireless systems performance.

Keywords: Orthogonal Frequency Division Multiplexing, Neural Network, Linear Codes, Wavelet, Moving Average Filter.

Research Title: Wireless Cellular Systems Performance Improvement Based on Neural Network

Author: Mohammed Mahdi Ali, Published Year: 2012

INTERNATIONAL JOURNAL OF COMMUNICATIONS, 6, 4

Faculty: Engineering and Technology

Abstract: In this paper, a neural network (NN) part has been imposed to overcome a previously mitigated drawback that is found in Orthogonal Frequency Division Multiplex technology (OFDM) systems. In the learning process we make use of the results obtained from the previously published work to reduce the Peak to Average Power Ratio (PAPR) problem based on different linear coding techniques. The proposed technique shows that an improvement in the OFDM technology performance has been achieved based on reducing the system’s complexity. Moreover, the reduction percentage of the PAPR compared to the previously published one; which combats the PAPR based on Low Density Parity Check (LDPC), turbo coding and convolutional coding has been attained exactly. Our simulation results show that 15% reduction in PAPR over current values in the literature can be achieved depending on the system’s type. This is in addition to that the use of NN reduces the overall OFDM system's complexity. This is because that in the proposed technique the system does not need to send extra data to recombine the processed OFDM symbols at the receiver side. Thus, the performance improvement could be attained. Keywords—Multiple Input Multiple Output, Orthogonal Frequency Division Multiplexing, Neural Network, Linear codes.

Keywords: Multiple Input Multiple Output, Orthogonal Frequency Division Multiplexing, Neural Network, Linear codes.

Research Title: Design with Simulation of an Iterative Fuzzy Logic Controller (IFLC)

Author: Mohammed Mahdi Ali, Published Year: 2006

Asian Journal of Information Technology, 5, 1

Faculty: Engineering and Technology

Abstract: As the need for control is extended to systems of increasing complexity which is also often highly non-linear, rule-based fuzzy logic control was one of the successful solutions. An Iterative Fuzzy Logic Controller (IFLC) is designed based on finding the best input-output scale factors settings that are found during iterations to give an acceptable controlled behavior. To verify the ability of the proposed IFLC, a promising simulation study on different kinds of control systems has been pointed out

Keywords: Iterative Fuzzy Logic Controller (IFLC), Fuzzy Production Rules (FPRs), Input-Output scale factors (Ge, Gce, and Gu)

Research Title: A Hierarchical Neuro-Fuzzy MRAC of a Robot in Flexible Manufacturing Environment

Author: Mohammed Mahdi Ali, Published Year: 2004

The International Arab Journal of Information Technology, Vol. 1, No. 2,

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 control 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 neuro-fuzzy MRAC 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, computer control, real-time systems, robots, FMS

Research Title: The Right of The Public Legal Person to Own Intellectual Property Rights Under Jordanian Law

Author: Bassam Hamad Al-Tarawneh, Published Year: 2020

Journal of critical reviews , (JCR) (ISSN 2394-512

Faculty: Law

Abstract: The issue of public legal person ownership of intellectual property rights (IPRs) has been raised in various countries because of some practical considerations which necessitated discussing whether it is permissible for public legal persons to have such rights or whether they remain confined to natural individuals and private legal persons authorized by law. Based on many practical and realistic justifications, some legal systems in the countries concerned have endorsed to grant a public legal person the ownership rights of (IPRs) because of the nature of their work and the multiplicity of their tasks as general public legal persons working for the public benefit which is the primary objective of the presence of various public facilities such as educational, technical, health, and other facilities. Because of the importance of this topic, this research was conducted to shed light on this issue in Jordanian law, to review what was stated in Jordanian legislation on this issue and to explain its legal and practical dimensions

Keywords: public legal persons, intellectual property rights, patents, copyright law

Research Title: Ibn Hazm al-Andalusi's Treatise on The Virtue of Andalusia and its Main Personalities: A Study in the Vision and Form

Author: Omar Faris Yousif AlKafaween, Published Year: 2021

مجلة جامعة الملك عبدالعزيز للآداب والعلوم الإنسانية, 29/7

Faculty: Arts

Abstract: : This study aimed to clarify the treatise of Ibn Hazm on the virtue of Andalusia and its main personalities, and addressed both thematically and formally, starting from its vision and formation. In doing so, the study traced the most prominent dimensions of vision in it, such as the subjective dimension, and the other / collective and the critical, and provided a thematic study, starting from the goal of the treatise and its motivations, and then examined the mechanisms of artistic formation that the author utilized to embody his ideas and visions, such as language, intertextuality and arguments, which contributed to the aesthetic and vitality of the text of the message, as a coherent creative work. The study adopted the thematic and analytical approach to reveal the dimensions and reservoirs of vision, integrated with the formalist approach that helped in revealing the artistic technical mechanisms. The study had several conclusions, the most important of which were: ibn Hazm's ability to respond to ibn Al-Rabib, who blamed the Andalusians for their failure to perpetuate the merits of their country and the virtues of their scientists, through arguments, evidence and facts, besides the allusion to a large number of works by Andalusian authors, as well as the fact that the treatise met the requirement of textuality and discourse as it had both vision and relevant corresponding form, which worked together to support the construction of the text.

Keywords: : Ibn Hazm, His Treatise on The Virtue of Andalusia, Vision, Composition.

Research Title: Metaphorical Language in Best-Selling Books: Byrne's The Secret, the Power book as a Case Study

Author: Hanan Ali Amaireh, Published Year: 2020

Faculty: Arts

Abstract: Abstract In this paper, an attempt is made to study the metaphorical language used in one of the best-selling books, The Secret, the Power by Rhonda Byrne (2010). A lot of literature has been made on analyzing metaphors in different genres, yet how metaphorical language is employed in best-selling books gained little attention from discourse analysts, so this study comes to fill this gap in the literature. The purpose of this paper is to focus on this crucial field of written discourse and best-selling books in particular. It will investigate the linguistic techniques which are employed in a way to persuade the audience to change their behaviour or ideas and adopt new ones, especially the use of metaphorical expressions and storytelling. Metaphors will be analyzed according to Lakoff & Johnson’s (1980) perspective of metaphorical expressions and the "Speech Act Theory" proposed by Austin (1962) and Searle (1969). The paper concludes that metaphorical language is an integral part and pervasive in Byrne's writing style. She uses metaphorical expressions to deliver her message indirectly to convince the audience to adopt her ideas to call them for action. The analysis shows that storytelling is also employed by the author as a rhetorical device to persuade the audience of her thoughts.

Keywords: best-selling books, conceptual metaphors, speech act theory, storytelling, The Secret, the Power

Research Title: Women for Women: Discourse Analysis of Female's Political Discourse supporting women's Issues: A Case Study of Queen Rania's English Speeches

Author: Hanan Ali Amaireh, Published Year: 2021

dirasat /: Human and Social Sciences,

Faculty: Arts

Abstract: Abstract The focus of this study is the area of discourse analysis. This study analyses the political discourse of Queen Rania of Jordan’s English speeches. The data of the study consist of the English speeches the Queen delivered from 2016 to 2018. This study examines whether her speeches draw on the characteristics of the 'Feminine Style' of women’s political discourse in qualitative and quantitative analysis. The paper concludes that women in the political arena prioritise women's issues and address them through using some rhetorical techniques such as storytelling in order to convince the audience to support them.

Keywords: Keywords: Discourse Analysis, Political Discourse Analysis, Queen Rania of Jordan, Metaphor, the Feminine Style, Quantitative Analysis.