Research Title: Multiparallel Processing for Enhancing the V2V Clustering Performance

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2020

International Journal of Communication Systems, Wiley, 33

Faculty: Engineering and Technology

Abstract: In order to support the demand of the users in the new generation wireless systems (such as the smart interaction between the mobile devices and the mobile human), the resources of the intelligent the transportation system should be utilized efficiently. Thus, the network structure adaptation due to the rapid changes in such a communication process should be investigated. This is in addition to save the direct impact of network resources such as high-speed data transmission and data processing. Based on the Vehicular Ad hoc Network (VANET) standard and (IEEE 802.11p), two main propositions have been examined to attain the improvement in such intelligent systems performance. In this paper, we improved the QoS and proposed a clustering algorithm named MP-RC-MBOFDM. It groups the mobile nodes based on their speeds with some modified head assignments processes. This will be combined with a parallel-processing technique and a wavelet processing stage to optimize the transmitted power phenomenon. The simulation results of five main efficiency factors that have been involved; namely complementary cumulative distributions, bit rates, energy efficiency, the cluster head life time and the ordinary nodes reattaching-head average times; show the feasibility of the new proposition in the V2V data transmission.

Keywords: VANET, UWB, OFDM, Clustering Algorithm, Wavelets

Research Title: Enhancing the Performance of OFDM Systems-Based PAPR Reduction

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2020

Advances on Systems, Signals and Devices, (Issues on Communication, Signal Processing & Information Technologies),De Gruyter., vol. 12, pp. 57-68

Faculty: Engineering and Technology

Abstract: in this work, a comparison has been made among different proposed algorithms in order to improve the performance of a power consumption wireless network. They are used to combat one of the Orthogonal Frequency Division Multiplexing (OFDM) technique drawbacks, which are considered as a key technique in enhancing the new era of wireless systems' quality of service (QoS). Therefore, three different propositions have been investigated and covered by this work and classified as linear coding based, wavelet transformation based, PWM based. Furthermore, a MATLAB program has been run to check their performance and covers two different criteria; the curves of CCDF and the SER curves. This is in order to reduce the Peak-to-Average Power Ratio (PAPR) effect.

Keywords: OFDM, PAPR, wavelet, linear coding, PWM.

Research Title: DVB-T Systems Performance Enhancement

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2020

Advances on Systems, Signals and Devices, (Issues on Communication, Signal Processing & Information Technologies), De Gruyter, vol. 12, pp. 37-46

Faculty: Engineering and Technology

Abstract: In this work, a proposition has been studied in order to check the Terrestrial Digital Video Broadcasting (DVB-T) enhancement. It deals with overcoming the effect of the Peak-to-Average Power Ratio (PAPR) drawback on wireless systems? performances. For this purpose, a special averaging technique has been introduced in this work and consists of three different stages; signal's noise removal, adaptively peak detection, and averaging filtration, consequently. In order to check the work efficiency, a MATLAB simulation has been conducted at the same bandwidth and channel conditions to deals with both BER curves and CCDF curves. As a result, the proposed work shows promising results over the proposed work in the literature and over our previously published work. The proposed work gives extra immunity against the channel noise reaches up to 25% over the literature. Furthermore, it gives an extra 15% reduction in combatting the PAPR effect.

Keywords: OFDM, PAPR, wavelet, averaging filtration, signal processing

Research Title: The Performance of the Vehicular Communication-Clustering Process

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2020

Telkomnika (Telecommunication, Computing, Electronics and Control), vol. 18, no. 1, pp.

Faculty: Engineering and Technology

Abstract: For the new wireless systems and beyond, the intelligent transportation system is considered as one of the main features that could be covered in the new research topics. Furthermore, both high-speed data transmission and data processing play a crucial role in these generations. Our work covers two main propositions in order to attain an improvement in such intelligent systems performance. A clustering algorithm is proposed and presented for grouping mobile nodes based on their speeds with some modified head assignments processes. This will be combined with a parallel-processing technique that enhances the QoS. Mainly, this work concerns enhancing the V2V data transmission and the processing speed. Thus, a wavelet processing stage has been imposed to optimize the transmitted power phenomenon. In order to check the validity of such a proposition, five main efficiency factors have been investigated; namely complementary cumulative distributions, bit rates, energy efficiency, the lifetime of cluster head, and the ordinary nodes reattaching-head average times.

Keywords: Clustering Algorithm, Energy Efficiency, IoV, UWB-MB-OFDM, V2V

Research Title: Enhancing the LTE-based Intelligent Transportation System’s Performance

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2020

Digital Signal Processing (Elsevier), vol. 99

Faculty: Engineering and Technology

Abstract: An intelligent transportation system is considered as one of the main features of the new generation wireless systems, where both high-speed data transmission and processing play a crucial role. This work presents two propositions in order to attain the performance improvement for both data transmission and processing speed. Thus, the presented work consists of deriving a clustering algorithm based on a weighting algorithm for the head assignments processes and emphasizing the parallel-processing technique based on a variety of wavelet baby functions, respectively. Accordingly, both of the data transmission speed and power will be examined. In order to verify the findings, a simulation has been done and compared with the following clustering algorithms; namely DMAC, PC, DBC, and Lower-ID DCA. This comparison is based on the following factors; namely, efficiency factors involved in this investigation; namely complementary cumulative distributions, bit rates, energy efficiency, the cluster head lifetime and the ordinary nodes reattaching-head average times. The depicted results for the cluster head duration at 20 km/s show remarkable system stability based on both the clustering overhead and the cluster head duration. The attained improvements reach the53% and 88.4% over the DBC work and the Lowest-ID DCA work, respectively.

Keywords: Clustering algorithm, Energy efficiency, UWB-MB-OFDM , V2V

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

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2020

sensors (Special Issue Robotics, Sensors and Industry 4.0) , 20(10), 2872

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: Age, gender and climate associations with the seroprevalence of Neospora species infection in horses in Jordan

Author: Raida W. Khalil, Published Year: 2020

Revista Brasileira de Parasitologia Veterinária, 29

Faculty: Science

Abstract: A cross-sectional study was carried out on a sample of 379 horses to determine the seroprevalence of Neospora spp. in Jordan using the indirect fluorescent antibody test. Five variables, namely locality (n= 10), climatic zone (n= 4), age group (n= 3), gender, and breed were tested as risk factors for Neospora–immunoglobulin (Ig) G seropositivity at four cutoff titers (1: 50, 1: 200, 1: 400, and 1: 800) using univariate and multivariate logistic regression analyses. A total of 122 (32%; 95% CI: 28, 37) sera samples had anti-Neospora–IgG at a cutoff titer of 1: 50. Increased Neospora–IgG seropositivity was found in horses in three localities (Madaba, Zarka, and Petra) and was associated with the following variables: cool temperate climate; age> 14 years; and female gender. Seropositivity was found among horses from Madaba at all cutoff titers, Zarka at titers> 1: 200, and Petra at titers< 1> 14 years were found to be associated with seropositivity at titers≥ 1: 200. Female gender was associated with high seropositivity at> 1: 800.

Keywords: Neospora spp.; horse; seroprevalence; risk factors; climate; Jordan

Research Title: Homozygous TAF1C variants are associated with a novel childhood-onset neurological phenotype

Author: Tawfiq Froukh, Published Year: 2020

Clinical genetics,

Faculty: Science

Abstract: TATA‐box binding protein associated factor, RNA polymerase I subunit C (TAF1C) is a component of selectivity factor 1 belonging to RNA polymerase I (Pol I) transcription machinery. We report two unrelated patients with homozygous TAF1C missense variants and an early onset neurological phenotype with severe global developmental delay. Clinical features included lack of speech and ambulation and epilepsy. MRI of the brain demonstrated widespread cerebral atrophy and frontal periventricular white matter hyperintensity. The phenotype resembled that of a previously described variant of UBTF, which encodes another transcription factor of Pol I. TAF1C variants were located in two conserved amino acid positions and were predicted to be deleterious. In patient‐derived fibroblasts, TAF1C mRNA and protein expression levels were substantially reduced compared with healthy controls. We propose that the variants impairing TAF1C expression are likely pathogenic and relate to a novel neurological disease. This study expands the disease spectrum related to Pol I transcription machinery, associating the TAF1C missense variants with a severe neurological phenotype for the first time.

Keywords: NGS

Research Title: A Survey on the Potential Awareness for the Delivery of Insulin Using Transdermal Microneedle Array in Jordan

Author: Mohammad Bayan, Published Year: 2020

International Journal of Pharmaceutical Research, 12

Faculty: Pharmacy

Abstract: The conventional SC transdermal insulin injections may create some obstacles to be the preferred technique for diabetic patients, such as pain, needle phobia, skin irritation, bruising at the injection site, and skin hardness, etc. For this purpose, this study has been conducted on "A survey on the potential awareness for the delivery of insulin using transdermal microneedle array in Jordan" involving a sample size of 400 diabetic patients. The questionnaire consists of 17 questions that asked for some problems associated with the conventional SC transdermal injections, a brief introduction for MN technology and acceptance of microneedle patches in the future. Data analysis was carried out using SPSS version 23. It was found that 75.3% of the sample population used insulin on a regular basis and 39.3% was needle phobic. In conclusion, 85.5% of patients preferred to use microneedle for insulin delivery for controlling glucose levels. More clinical trials should be performed to develop microneedle technologies for insulin delivery.

Keywords: Transdermal microneedle array, Needle phobia and Insulin delivery system.

Research Title: A Guide for Estimating the Maximum Safe Starting Dose and Conversion it between Animals and Humans

Author: Mohammad Bayan, Published Year: 2020

Systematic Reviews in Pharmacy, 11

Faculty: Pharmacy

Abstract: With the development of drugs and the emergence of new drugs, new experiences in animals or clinical trials in humans are important in understanding the translation of the drug dose between different species, as well as converting the dose from animal studies to human or vice versa based on the differences in the average body weight (kg) of species to its body surface area (m 2) according Allometric approach during extrapolation doses of starting therapeutic agents among the species. this article have provided basic information about estimating the starting dose for clinical trials, especially for phase I and phase II, or about the translation of doses between species using the allometric scaling also, based on human equivalent dose we provided method for calculation of injection volume of parenteral formulation.

Keywords: drug dose conversion, species, body surface area, starting dose, extrapolation.