Research Title: Sniffer Mobile Robot Performance Enhancement-based Averaging-Adaptive Wavelet Transform method

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2017

Jordan Journal of Electrical Engineering (JJEE), 3 no 2

Faculty: Engineering and Technology

Abstract: In order to enhance the Sniffer Mobile Robot (SNFRbot) performance, proposed techniques have been imposed to improve the Multiple-Input Multiple-Output- Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems efficiency. This will be attained by combatting the effect of the peak-to-average power ratio (PAPR) problem. In this work a comparison has been made among different proposed published work; namely, pulse width modulation (PWM)-based, Neural Network-based, and special averaging adaptive wavelet transformation (SAAWT). In addition to a comparison between the published work and the work found in the literature. A MATLAB based simulation has been used to check the SNFRbot by making use of two different criteria; the BER and CCDF curves. This is true under the constraints of keeping the bandwidth and channel behaviors constants. The used data in this simulation has been extracted from a funded project entitled ECEM. This is in addition to a randomly generated data. As a result, the SAAWT work gives the best BER values of about 80%, where the PWM gives the best CCDF results 35%among the proposed work. The enhancement over the previously proposed work falls in the range between 30% and 80%.

Keywords: MIMO-OFDM; Special Averaging Techniques; Neural Network; Linear Codes; Wavelet; Moving Average Filter.

Research Title: PAPR effect remedy in OFDM-based wireless systems

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2017

Journal of Communications Technology and Electronics, 62 no 10

Faculty: Engineering and Technology

Abstract: This work proposes two different criteria in order to enhance the Handheld Digital Video Broadcasting (DVB-T) systems enhancement. Based on the broadcasting standards, DVB-T physical layer uses a powerful technique namely Orthogonal Frequency Division Multiplexing (OFDM) technique. Although it has been used in order to enhance the wireless systems performance by combating the channel’s effect, it has a major drawback that degrades its efficiency; Peak-to-Average Power Ratio (PAPR) problem. Two criteria have been used for this purpose; BER curves and CCDF curves in order to distinguish the powerfulness of those propositions in reducing the PAPR effect. In fact, a powerful special averaging technique results are compared to previously published propositions, namely based on wavelet transformations and the one that is based on the pulse width modulation. A mathematical model has been drawn in order to check both of the CCDF and the BER curves, and simulated at same channel limitations and specifications. The results show an extra 35% noise immunity when using the proposed work over the entropy wavelet proposition, and a 25% PAPR reduction over the previously published work. Furthermore, reducing the reception complexity by decreasing the side information transmission in compared with the work in the literature.

Keywords: OFDM, PAPR, Wavelet Transform, Entropy, Clipping, SLM

Research Title: Orthogonal Wavelet Division Multiplexing- Comparison Study

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2018

IEEE SSD'18, 15th International Multi-Conference on Systems, Signals & Devices,, Tunis

Faculty: Engineering and Technology

Abstract: This work deals with the enhancement of one of the main techniques that is used widely in number of communications systems these days; Orthogonal Frequency Division Multiplex (OFDM). Its powerfulness comes from improving the system's data rates even under harsh channels conditions by making use of the Inverse Fast Fourier Transform (IFFT) idea. However, it suffers from different drawbacks, which make it intrinsically obstinate, such as the Peak-to-Average Power Ratio (PAPR) and synchronization issues. Thus, an analysis of an alternative work will be provided in this work based on the wavelet transforms; wavelet packet transforms-based Daubechies 4 will be analyzed and compared to our previously published work in order to increase the OFDM-based work flexibilities. This comparison will be based on the bit error rates (BER) and exceeding the PAPR values a certain threshold. A MATLAB simulation has been performed in order to verify the reliability of the proposition in order to replace the FFT stage in the OFDM. As a result, the WPT work gives a 1 dB enhancement over the conventional OFDM at 10-3 probability, while the previously Haar based published work enhances this value by 8.8%. in addition to enhances the BER reliability over the proposed RoF channel link.

Keywords: OWDM, fiber, millimeter waves wavelet, packets, Haar.

Research Title: DVB-T Systems Performance Enhancement

Author: Qadri Jamal Al-Hamarsheh, Published Year: 2019

Accepted to be published in the Advances on Systems, Signals and Devices, (Issues on Communication, Signal Processing & Information Technologies), --

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 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 of 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 extra 15% reduction in combatting the PAPR effect.

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

Research Title: The role of the Royal Automobile Museum in tourism and heritage education in Jordan

Author: Rabia Hani Amin Haddad, Published Year: 2016

Taylor & Francis/ Automobile Heritage and Tourism, 39

Faculty: Nursing

Abstract: Tourism is thriving in Jordan since the peace treaty was signed with Israel in 1994, whereby tourists have flocked the country in millions (MOTA 2000). The number of tourists has doubled and tripled many times since then especially after Petra, Jordan’s foremost tourist attraction, won the second place of the World New Seven Wonders competition in 2007 (Harahsheh 2009). The latest statistics of the World Tourism Organisation (UNWTO) shows that the number of tourist arrivals to the country was 4.16 million in 2012, increased by 5.1% from 2011 (UNWTO 2013). Most of the tourists come to Jordan from the Middle East (48.2%) followed by Jordanians residing abroad (25.4%), Europe (14.2%), America (4.8%), East Asia/Pacific (4.2%), South Asia (1.9%) and Africa (1.3%). Jordan hosts a lot of natural and man-made attractions that are of great value for tourists to visit. Those include Petra, the new seven wonder of the world, the Dead Sea, the world’s lowest and saltiest natural spa, the Golf of Aqaba with its red corals as well as several Greco-Roman cities (known as the Decapolis) such as Amman (Philadelphia), Jerash (Gerasa) and Um Qais (Gadara) and Crusader castles such as Kerak, Showbak and Ajlun. Jordan hosts also a lot of important world-class museums such as the Royal Automobile Museum, the Children Museum and the Jordan Museum. This chapter in particular examines the Royal Automobile Museum (RAM) in Jordan and the role of that museum in tourism and heritage education as it hosts vintage cars, motorbikes and carting cars owned by the Royal family since 1915. The study focuses on those heritage vehicles as they are employed in the interpretation and presentation of the history of Jordan for almost now 100 years since the Hashemite rule.

Keywords: Jordan, muesums

Research Title: The influence of the Media on the formation of destination image

Author: Rabia Hani Amin Haddad, Published Year: 2009

International Conference on Traditions and Transformations: Tourism, Heritage and Cultural Change in the Middle East and North Africa Regio, Centre for Tourism and Cultural Change (CTCC), Leeds Metropolitan University

Faculty: Nursing

Abstract: Tourism destination image is formed by the media,education, promotion and the word-of-mouth recommendations. The media is playing a double role when dealing with tourism products or tourism destinations. It can create awareness in the source countries towards a certain destination and then forma positive image, and at the same time can deteriorate that destination due to situational factors such as terrorism and war, natural disasters such as Tsunami, diseases such as Bird Flu in the tourism destinations.Recently, the influence of the media upon the formation of tourism destination image in the minds of potential tourists and apparently on their decision-making process when selecting a certain a holiday destination, has increased incredibly (Lexow and Edelheim, 2004). The characteristics of the target market will affect the decision-making process, for example, family groups are most likely to use media sources of information and older people are more likely to rely on the recommendation of family and friends (Gartner, 1993). It is argued therefore, that there is a relationship between what is published in the media and tourists’ motivation to travel (Croy,2004).Through literature review of past research in this area, it is clear that the media have a real influence on the formation of tourism destination image and on the flow of tourists into that destination (Lexow and Edelheim, ibid). A bad political image of a country can have a negative impact on the country tourism image(Media Tenor, 2005). Travel warnings have a crucial impact on both the destination and source countries(Nielsen, 2001). On the other hand, the destination media plays an essential role in projecting a positive image to the target market (Media Tenor, 2006).This paper, therefore, tries to analyse the influence of the media on the formation of tourism destination image in general and to shed a light on the image of Jordan as a tourist destination as projected in the Western media, mainly Britain. Jordan has a relatively positive tourism image in both the British, but the negative political image of the Middle East harms Jordan due its location in the middle of four unrest countries, i.e. Israel, Palestine, Lebanon and Iraq. The findings of this research show a significant influence

Keywords: Jordan, tourism, marketing, travel, image, branding

Research Title: Sampled Data and Space Vector Technique for Static VAR Compensation

Author: Jasim Abdullah Ghaeb, Published Year: 2016

13th International Multi-Conference on Systems, Signals & Devices, Leipzig, Germany.

Faculty: Engineering and Technology

Abstract: This paper presents a new method named Sampled Data and Space Vector Technique (SDSV) to control the three-phase voltages subjected to load changes. The proposed SDSV uses the on record and measured three-phase voltages to obtain the reference space vector (SVr) and measured one (SVm), respectively at different samples. The two space vectors SVr and SVm are compared at regular samples of the system sinusoidal cycle, to generate an error. This error is employed to produce the new reactive power of compensator in a small period of time rather than waiting for a complete system sinusoidal cycle, thereby allowing a quick and an efficient Volt- Ampere Reactive (VAR) control for the three-phase load voltages.

Keywords: Space Vector Modulation; Reactive Power Compensation; Thyristor-Controlled-Reactor; Space Vector; Three-Phase Load Control.

Research Title: Fast correction of voltage unbalance factor in three-phase power system using neural network

Author: Jasim Abdullah Ghaeb, Published Year: 2018

2018 11th International Symposium on Mechatronics and its Applications (ISMA), Sjarjah, UAE, United Arab Emirates

Faculty: Engineering and Technology

Abstract: The voltage unbalance at the load terminal of three-phase electric power system is discussed. The aim of this work is to solve the problem of voltage unbalance accurately and quickly by using the Neural Network Control (NNC). In this paper, the Aqaba-Qatrana-South Amman (AQSA) power system is considered and modelled as a real case study. The three RMS-Load Voltages (3RMSLV) and the Voltage Unbalance Factor (VUF) for different unbalance conditions are collected. In addition, the corresponding firing angles (FATCR) required to drive the Thyristor-Controlled-Reactor (TCR) compensator for balanced condition are determined. These data are used to train, validate, and test the NNC. The NNC training depends on the fact that each unbalance condition has its own 3RMSLV and VUF and needs a unique set of FATCR for getting back the balance condition. Several test cases were discussed to validate the capability of the proposed method in solving the voltage unbalance problem.

Keywords: Power Quality, Neutral Network, Reactive Compensation, TCR.

Research Title: Enhancing the Response of Thyristor-Controlled- Reactor Using Neural Network

Author: Jasim Abdullah Ghaeb, Published Year: 2019

International Transactions on Electrical Energy Systems, Wiley, doi.org/10.1002/2050

Faculty: Engineering and Technology

Abstract: In this paper, Neural Network controller is proposed to retrieve the voltage balancing conditions in three-phase power systems. The Neural Network is suggested to calculate the required set of firing angles for the Thyristor-Controlled-Reactor accurately to balance the three load voltages quickly. The proposed controller is fed by different parameters within different feeding techniques, namely, RMS values of the three load voltages, RMS value of the space vector signal calculated from the three load voltages, and the RMS values of both the three load voltages and their associated space vector. The intentions of the proposed techniques are to combine between reducing the number of measured parameters and providing the controller with qualitative data about system status. The influence of the measured parameters on the Neural Network performance is examined by calculating the regression coefficients through several test cases. Accordingly, only the effective parameters are utilized to reduce the Neural Network complexity and to enhance the controller response time. Additionally, the calculations of the controller input parameters are made in terms of space vector cycle, which is half of system sinusoidal cycle. Consequently, the calculation time is reduced significantly. The Aqaba-Qatrana-South Amman power system is considered and modelled as a real case study. In addition, several test cases have been conducted to test and validate the ability of the proposed Neural Network Controller in retrieving the voltage balance conditions precisely and quickly. The results have revealed the ability of the proposed Neural Network controller to calculate the firing angles quickly within 10 ms and achieve very low Voltage Unbalance Factor.

Keywords: Reactive Power Control; Thyristor-Controlled-Reactor; Power Quality; Neural Network.

Research Title: Current Situation and Future Trends

Author: Munzer Ebaid, Published Year: 2011

Int. J. on Recent Trends in Engineering and Technology, 6

Faculty: Engineering and Technology

Abstract: This paper presents the current energy and power situation in Jordan and the possible future options in terms of energy and power mix and the potentials, trends, and various scenarios to be adopted in the electrical power sector.

Keywords: energy and power, wind energy, solar energy, biomass, hydropower, geothermal, oilshale.