Ebaa Fayyoumi - Academia.edu (original) (raw)

Papers by Ebaa Fayyoumi

2017 International Conference on New Trends in Computing Sciences (ICTCS)

For the data-driven approach in Natural Language Processing (NLP) applications, good quality ling... more For the data-driven approach in Natural Language Processing (NLP) applications, good quality linguistic resources considered as a main factor to obtain good results. Although Arabic language is one of the main languages in the world, it is considered as low-resourced language in term of good quality and free linguistic resources. This work presents the first stage of building a new open source dependency treebank for Arabic language. It describes the prototype of the new dependency treebank that are inspired by Lexical Functional Grammar (LFG). This paper shows a main approach of developing a newly treebank and put lines the future work needed to complete this novel linguistic resource.

International Journal of Computing Science and Mathematics

Data, 2021

This research investigates the micro-aggregation problem in secure statistical databases by integ... more This research investigates the micro-aggregation problem in secure statistical databases by integrating the divide and conquer concept with a genetic algorithm. This is achieved by recursively dividing a micro-data set into two subsets based on the proximity distance similarity. On each subset the genetic operation “crossover” is performed until the convergence condition is satisfied. The recursion will be terminated if the size of the generated subset is satisfied. Eventually, the genetic operation “mutation” will be performed over all generated subsets that satisfied the variable group size constraint in order to maximize the objective function. Experimentally, the proposed micro-aggregation technique was applied to recommended real-life data sets. Results demonstrated a remarkable reduction in the computational time, which sometimes exceeded 70% compared to the state-of-the-art. Furthermore, a good equilibrium value of the Scoring Index (SI) was achieved by involving a linear com...

2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), 2018

We consider the problem of micro-aggregation in secure statistical databases, by enhancing the pr... more We consider the problem of micro-aggregation in secure statistical databases, by enhancing the primitive Micro-Aggregation Technique (MAT), which integrates proximity information. This problem is known to be NP-hard and has been tackled using many heuristic solutions. In this paper, we report a new two-stage multi-variate micro-aggregation technique so-called Enhanced Genetic Multi-variate Micro-Aggregation Technique (EGMMAT). It utilizes a genetic algorithm to aggregate the multi-variate micro-data. In the first stage, the micro-data file is split into a number of various domes under the flavour of Maximum Distance Average Vector (MDAV). Each dome has pre-defined size set by administrator. It is worth mentioning that the genetic operations (crossover & mutation) are continuously applied on each dome separately until the convergences condition is satisfied. The second stage of EGMMAT starts with combining all sub-groups in all domes into one huge dome, then the refinement process is achieved by applying the genetic operations in all micro-data to enhance the final results. Our experimental results, which are done on the benchmark data sets for real-life data, demonstrate that the newly proposed method is superior to the state-of-the-art by as much as 8.5%.

2020 21st International Arab Conference on Information Technology (ACIT), 2020

Arabic dependency parsers perform poorly compared to parsers of other languages. There is little ... more Arabic dependency parsers perform poorly compared to parsers of other languages. There is little research on improving the performance of Arabic parsers. However, recent research has shown slight improvements in the performance of dependency parsers by utilizing the lexical level of a dependency treebank. To our knowledge, no previous study has studied the effect of utilizing the syntactic level. In this study, we empirically investigated the impact of varying the set of dependency relations on the performance of Arabic dependency parsers. The results were compared to those of previous studies, and showed that having an appropriate set of dependency relations could improve the performance of an Arabic dependency parser.

The International Arab Journal of Information Technology, 2021

Arabic dependency parsers have a poor performance compared to parsers of other languages. Recentl... more Arabic dependency parsers have a poor performance compared to parsers of other languages. Recently the impact of annotation at lexical level of dependency treebank on the overall performance of the dependency parses has been extensively investigated. This paper focuses on the impact of coarse-grained and fine-grained dependency relations on the performance of Arabic dependency parsers. Moreover, this paper introduces the annotation rules for I3rab dependency treebank. Experimentally, the obtained results showed that having an appropriate set of dependency relations improves the performance of an Arabic dependency parser up to 27.55%.

Frontiers in Chemistry, 2021

Fe/Ti-oxides-modified-carbon nanotubes CNTs nanocomposites were prepared and tested toward Co rem... more Fe/Ti-oxides-modified-carbon nanotubes CNTs nanocomposites were prepared and tested toward Co removal from solution under different operational conditions. The final performance of the nanocomposites for Co was highly dependent on the type and loaded amount of the oxides. The nanocomposites were characterized by standard methods and the results evidenced that the presence of CNTs hampers the growth of Fe3O4 and TiO2 particles and forming smaller nano-particles leading to better Co removal from solution. Analysis of isotherms at different temperatures indicated that Co retention was two-fold increased upon adding Ti-oxides up to 90.2%. All isotherms were fairly presented using Langmuir-Freundlich isotherm and most surfaces have high heterogeneity particularly after deposition of oxides. The combined influence of the factors was investigated by running a multivariate analysis. An empirical equation was generated by principal component analysis (PCA) for predicting Co retention assumin...

Data, 2021

This paper investigates sentiment analysis in Arabic tweets that have the presence of Jordanian d... more This paper investigates sentiment analysis in Arabic tweets that have the presence of Jordanian dialect. A new dataset was collected during the coronavirus disease (COVID-19) pandemic. We demonstrate two models: the Traditional Arabic Language (TAL) model and the Semantic Partitioning Arabic Language (SPAL) model to envisage the polarity of the collected tweets by invoking several, well-known classifiers. The extraction and allocation of numerous Arabic features, such as lexical features, writing style features, grammatical features, and emotional features, have been used to analyze and classify the collected tweets semantically. The partitioning concept was performed on the original dataset by utilizing the hidden semantic meaning between tweets in the SPAL model before invoking various classifiers. The experimentation reveals that the overall performance of the SPAL model competes over and better than the performance of the TAL model due to imposing the genuine idea of semantic pa...

ACM Transactions on Asian and Low-Resource Language Information Processing, 2022

Treebanks are valuable linguistic resources that include the syntactic structure of a language se... more Treebanks are valuable linguistic resources that include the syntactic structure of a language sentence in addition to part-of-speech tags and morphological features. They are mainly utilized in modeling statistical parsers. Although the statistical natural language parser has recently become more accurate for languages such as English, those for the Arabic language still have low accuracy. The purpose of this article is to construct a new Arabic dependency treebank based on the traditional Arabic grammatical theory and the characteristics of the Arabic language, to investigate their effects on the accuracy of statistical parsers. The proposed Arabic dependency treebank, called I3rab, contrasts with existing Arabic dependency treebanks in two main concepts. The first concept is the approach of determining the main word of the sentence, and the second concept is the representation of the joined and covert pronouns. To evaluate I3rab, we compared its performance against a subset of Pr...

Indonesian Journal of Electrical Engineering and Computer Science, 2021

We consider pursuing the Jordanian women their graduate studies in Information Technology discipl... more We consider pursuing the Jordanian women their graduate studies in Information Technology disciplines as an indicator of socio-economic development and empowering women in Jordan. This paper presents the first study of multi-variate stereotypes that shape the problem by addressing the following factors: travel abroad, family matters, skills and experience, traditional and cultural differences, scholarship opportunities, financial matters, and language complications. These factors were extensively studied, and their effects were estimated by applying the linear-regression, one-way ANOVA, and Scheffe tests. The scholarship opportunity (R2 = 0:354), travel abroad (R2 = 0:281), and financial matters (R2 = 0:226) were the most influential factors on Jordanian women’s decision in pursuing their graduate studies. On the other hand, skills and experience stereotype (R2 = 0:076) has the least influence.

To obtain a challenging position as an associate professor, where my experience and proven accomp... more To obtain a challenging position as an associate professor, where my experience and proven accomplishments will enable me to contribute to the job's objectives. Summary of qualifications Ability to teach and transfer the information clearly. Ability to manage any department professionally and accurately. Ability to investigate problems in Secure Statistical Databases, more specifically developing new micro-aggregation techniques. Ability to investigate problems in Exact String Matching Algorithm. Ability to investigate problems in statistical pattern recognition and data mining fields. Ability to create and manipulate databases in spite of their models: Relational, Object Oriented, Hierarchical, Network, Nested complex Databases and Data Warehouse. Ability to work independently and to incorporate with a group to solve any research problem. Ability to communicate effectively and interface at all levels. Highly motivated, reliable, confident, and committed to professional standards. Excellent organizational and management skills.

International Journal of Advanced Computer Science and Applications, 2020

As of December 2019, the world's view on life has been changed due to ongoing COVID-19 pandemic. ... more As of December 2019, the world's view on life has been changed due to ongoing COVID-19 pandemic. This requires the use of all kinds of technology to help identify coronavirus patients and control the spread of this disease. In this paper, an online questionnaire was developed as a tool to collect data. This data was used as an input for various prediction models based on statistical model (Logistic Regression, LR) and machine learning model (Support Vector Machine, SVM, and Multi-Layer Perceptron, MLP). These models were utilized to predict potential patients of COVID-19 based on their signs and symptoms. The MLP has shown the best accuracy (91.62%) compared to the other models. Meanwhile, the SVM has shown the best precision 91.67%.

Procedia Computer Science, 2016

Social communication is one of the most important pillars that our society based on. It is well-k... more Social communication is one of the most important pillars that our society based on. It is well-known that the language is the only way to communicate and interact with each other verbally or non-verbal way. People with special needs are members of this society and have the right to enjoy the communication with the external environment in an easy and professional manner. This paper aims to provide an interesting application that guarantees ultimate communication with the disabled users and vice versa. The key feature of this application is employing the Arabic language as a medium of communication to learn all the sign language terms. The power of this application appears in two aspects: first of all, the ability of normal people to communicate with the targeted people without having any previous knowledge on signs language. This can be either achieved by voice recognition of words or by typing the words in the Arabic language. The application is then displays the appropriate image(s) in the sign language. Secondly, and more importantly, people with special needs communicate with normal people by choosing the signs images on their phones from the numerous categories stored in the databases which express their ideas and thoughts. Consequently, the set of images is transformed into a text paragraph. We evaluated our application by testing it on real deaf and dumb users. We carefully created scenarios on realistic situations. The early results are promising as all deaf found the proposed technology useful and 90% of them wanted to use it on daily basis.

International Journal of Innovation and Learning, 2015

We consider applicability of the e-learning at Hashemite University (HU) from different perspecti... more We consider applicability of the e-learning at Hashemite University (HU) from different perspectives based on the academic major of students. The e-learning concept had professionally been applied on some majors offered at the HU and gained a great impact on the learning process, students and staff. The HU has made an excellent progress toward practicing e-learning environment through sequence of actions in real life scenario that overcome the limitations related to the traditional learning system. This paper presents the first study of multi-variate factors that influence the e-learning process at HU by applying the linear-regression, one-way ANOVA and Scheffe tests.

Information Security and Privacy

We consider the Micro-Aggregation Problem (MAP) in secure statistical databases which involves pa... more We consider the Micro-Aggregation Problem (MAP) in secure statistical databases which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best partition of the micro-data file, is known to be NP-hard, and has been tackled using many heuristic solutions. In this paper, we would like to demonstrate that in the process of developing Micro-Aggregation Techniques (MATs), it is expedient to incorporate information about the dependence between the random variables in the micro-data file. This can be achieved by pre-processing the micro-data before invoking any MAT, in order to extract the useful dependence information from the joint probability distribution of the variables in the micro-data file, and then accomplishing the microaggregation on the "maximally independent" variables. Our results, on real life data sets, show that including such information will enhance the process of determining how many variables are to be used, and which of them should be used in the microaggregation process.

Lecture Notes in Computer Science, 2008

Although Artificial Intelligent (AI) techniques have been used in various applications, their use... more Although Artificial Intelligent (AI) techniques have been used in various applications, their use in maintaining security in Statistical DataBases (SDBs) has not been reported. This paper presents results, that to the best of our knowledge is pioneering, by which concepts from causal networks are used to secure SDBs. We consider the Micro-Aggregation Problem (MAP) in secure SDBs which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best partition of the micro-data file, is known to be NP-hard, and has been tackled using many heuristic solutions. In this paper, we would like to demonstrate that in the process of developing Micro-Aggregation Techniques (MATs), it is expedient to incorporate AI-based causal information about the dependence between the random variables in the micro-data file. This can be achieved by pre-processing the micro-data before invoking any MAT, in order to extract the useful dependence information from the joint probability distribution of the variables in the micro-data file, and then accomplishing the microaggregation on the "maximally independent" variables. Our results, on artificial life data sets, show that including such information will enhance the process of determining how many variables are to be used, and which of them should be used in the microaggregation process.

2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), 2014

Wi-Fi Direct is considered as the way to connect people by offering a wider connectivity to the a... more Wi-Fi Direct is considered as the way to connect people by offering a wider connectivity to the authorized devices. This paper presents a prototype that connects more than two displays wirelessly to create a VGA host by integrating the Miracast Application Program Interface (API) with Wi-Fi direct technology. This achievement supports high-quality multimedia streaming, audio and video conferencing, texts, gaming and more other applications. The behavior of the proposed prototype is measured by assessing the minimum number of connected group of devices, as well as the expected throughput in real life scenario. The experimental results show a remarkable overall performances measured by throughput, significance and applicability of the proposed prototype.

International Journal of Networking and Virtual Organisations, 2014

A new model is required for wireless Bluetooth technology that enhances media streaming between d... more A new model is required for wireless Bluetooth technology that enhances media streaming between different devices. This paper presents a novel system that utilises the intermediate protocol L2CAP and a newly proposed integrated buffering architecture to stream media file via Bluetooth technology that is called 'mBlueThunder'. The new system overcomes the jittering playback problem, time delay and compatibility issues. The experimental results show a remarkable improvement in streaming file reaching up to 35% comparable to the state-of-the-art technique. The overall results highlight great impact, significance and applicability of the proposed system.

2013 1st International Conference & Exhibition on the Applications of Information Technology to Renewable Energy Processes and Systems, 2013

Photovoltaic system (PVS) is used for generating electric power by using solar cells to convert e... more Photovoltaic system (PVS) is used for generating electric power by using solar cells to convert energy from the sun light into a flow of direct current electricity, which can be used to power equipment or to recharge a battery. In addition, the Sound biometric techniques can enable PVS to listen and understand their surrounding auditory environment since turning the lights on all the nights will get through a lot of energy which it might be used in other significant concerns. This paper proposed a model of combination between PVS to generate power energy (electricity) from the sunlight controlled by a sound biometric technique to reduce the consumption of the generated power energy by turning the lights on for the highways only when there are cars on the highway and only for some period of time to make the driving out of harmful ways and trouble-free; followed by an implementation of the proposed combination model between the PVS and biometric sound chip and a presentation of a discussion of the proposed system results.

International Journal of Information Technology and Web Engineering, 2014

This chapter presents the proposed model of combination between Photovoltaic solar system resourc... more This chapter presents the proposed model of combination between Photovoltaic solar system resources and sound biometric techniques, to generate power energy from the sunlight using the PVS controlled by a sound biometric technique. This work contributes to research knowledge by proposing and validating a sound biometric technique for allowing to reduce the consumption of the generated power energy by turn the lights on for the public roads only when there are vehicles on the way and only for some period of time to make the driving out of harm's way and trouble-free. The proposed and combination models between the PVS and biometric sound chip is used for generating electric power by using solar cells to convert energy from the sun light into a flow of direct current electricity, which can be used to power equipment or to recharge a battery. In addition the Sound biometric techniques can enable PVS to listen and understand their surrounding auditory environment since turning the l...

2017 International Conference on New Trends in Computing Sciences (ICTCS)

For the data-driven approach in Natural Language Processing (NLP) applications, good quality ling... more For the data-driven approach in Natural Language Processing (NLP) applications, good quality linguistic resources considered as a main factor to obtain good results. Although Arabic language is one of the main languages in the world, it is considered as low-resourced language in term of good quality and free linguistic resources. This work presents the first stage of building a new open source dependency treebank for Arabic language. It describes the prototype of the new dependency treebank that are inspired by Lexical Functional Grammar (LFG). This paper shows a main approach of developing a newly treebank and put lines the future work needed to complete this novel linguistic resource.

International Journal of Computing Science and Mathematics

Data, 2021

This research investigates the micro-aggregation problem in secure statistical databases by integ... more This research investigates the micro-aggregation problem in secure statistical databases by integrating the divide and conquer concept with a genetic algorithm. This is achieved by recursively dividing a micro-data set into two subsets based on the proximity distance similarity. On each subset the genetic operation “crossover” is performed until the convergence condition is satisfied. The recursion will be terminated if the size of the generated subset is satisfied. Eventually, the genetic operation “mutation” will be performed over all generated subsets that satisfied the variable group size constraint in order to maximize the objective function. Experimentally, the proposed micro-aggregation technique was applied to recommended real-life data sets. Results demonstrated a remarkable reduction in the computational time, which sometimes exceeded 70% compared to the state-of-the-art. Furthermore, a good equilibrium value of the Scoring Index (SI) was achieved by involving a linear com...

2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), 2018

We consider the problem of micro-aggregation in secure statistical databases, by enhancing the pr... more We consider the problem of micro-aggregation in secure statistical databases, by enhancing the primitive Micro-Aggregation Technique (MAT), which integrates proximity information. This problem is known to be NP-hard and has been tackled using many heuristic solutions. In this paper, we report a new two-stage multi-variate micro-aggregation technique so-called Enhanced Genetic Multi-variate Micro-Aggregation Technique (EGMMAT). It utilizes a genetic algorithm to aggregate the multi-variate micro-data. In the first stage, the micro-data file is split into a number of various domes under the flavour of Maximum Distance Average Vector (MDAV). Each dome has pre-defined size set by administrator. It is worth mentioning that the genetic operations (crossover & mutation) are continuously applied on each dome separately until the convergences condition is satisfied. The second stage of EGMMAT starts with combining all sub-groups in all domes into one huge dome, then the refinement process is achieved by applying the genetic operations in all micro-data to enhance the final results. Our experimental results, which are done on the benchmark data sets for real-life data, demonstrate that the newly proposed method is superior to the state-of-the-art by as much as 8.5%.

2020 21st International Arab Conference on Information Technology (ACIT), 2020

Arabic dependency parsers perform poorly compared to parsers of other languages. There is little ... more Arabic dependency parsers perform poorly compared to parsers of other languages. There is little research on improving the performance of Arabic parsers. However, recent research has shown slight improvements in the performance of dependency parsers by utilizing the lexical level of a dependency treebank. To our knowledge, no previous study has studied the effect of utilizing the syntactic level. In this study, we empirically investigated the impact of varying the set of dependency relations on the performance of Arabic dependency parsers. The results were compared to those of previous studies, and showed that having an appropriate set of dependency relations could improve the performance of an Arabic dependency parser.

The International Arab Journal of Information Technology, 2021

Arabic dependency parsers have a poor performance compared to parsers of other languages. Recentl... more Arabic dependency parsers have a poor performance compared to parsers of other languages. Recently the impact of annotation at lexical level of dependency treebank on the overall performance of the dependency parses has been extensively investigated. This paper focuses on the impact of coarse-grained and fine-grained dependency relations on the performance of Arabic dependency parsers. Moreover, this paper introduces the annotation rules for I3rab dependency treebank. Experimentally, the obtained results showed that having an appropriate set of dependency relations improves the performance of an Arabic dependency parser up to 27.55%.

Frontiers in Chemistry, 2021

Fe/Ti-oxides-modified-carbon nanotubes CNTs nanocomposites were prepared and tested toward Co rem... more Fe/Ti-oxides-modified-carbon nanotubes CNTs nanocomposites were prepared and tested toward Co removal from solution under different operational conditions. The final performance of the nanocomposites for Co was highly dependent on the type and loaded amount of the oxides. The nanocomposites were characterized by standard methods and the results evidenced that the presence of CNTs hampers the growth of Fe3O4 and TiO2 particles and forming smaller nano-particles leading to better Co removal from solution. Analysis of isotherms at different temperatures indicated that Co retention was two-fold increased upon adding Ti-oxides up to 90.2%. All isotherms were fairly presented using Langmuir-Freundlich isotherm and most surfaces have high heterogeneity particularly after deposition of oxides. The combined influence of the factors was investigated by running a multivariate analysis. An empirical equation was generated by principal component analysis (PCA) for predicting Co retention assumin...

Data, 2021

This paper investigates sentiment analysis in Arabic tweets that have the presence of Jordanian d... more This paper investigates sentiment analysis in Arabic tweets that have the presence of Jordanian dialect. A new dataset was collected during the coronavirus disease (COVID-19) pandemic. We demonstrate two models: the Traditional Arabic Language (TAL) model and the Semantic Partitioning Arabic Language (SPAL) model to envisage the polarity of the collected tweets by invoking several, well-known classifiers. The extraction and allocation of numerous Arabic features, such as lexical features, writing style features, grammatical features, and emotional features, have been used to analyze and classify the collected tweets semantically. The partitioning concept was performed on the original dataset by utilizing the hidden semantic meaning between tweets in the SPAL model before invoking various classifiers. The experimentation reveals that the overall performance of the SPAL model competes over and better than the performance of the TAL model due to imposing the genuine idea of semantic pa...

ACM Transactions on Asian and Low-Resource Language Information Processing, 2022

Treebanks are valuable linguistic resources that include the syntactic structure of a language se... more Treebanks are valuable linguistic resources that include the syntactic structure of a language sentence in addition to part-of-speech tags and morphological features. They are mainly utilized in modeling statistical parsers. Although the statistical natural language parser has recently become more accurate for languages such as English, those for the Arabic language still have low accuracy. The purpose of this article is to construct a new Arabic dependency treebank based on the traditional Arabic grammatical theory and the characteristics of the Arabic language, to investigate their effects on the accuracy of statistical parsers. The proposed Arabic dependency treebank, called I3rab, contrasts with existing Arabic dependency treebanks in two main concepts. The first concept is the approach of determining the main word of the sentence, and the second concept is the representation of the joined and covert pronouns. To evaluate I3rab, we compared its performance against a subset of Pr...

Indonesian Journal of Electrical Engineering and Computer Science, 2021

We consider pursuing the Jordanian women their graduate studies in Information Technology discipl... more We consider pursuing the Jordanian women their graduate studies in Information Technology disciplines as an indicator of socio-economic development and empowering women in Jordan. This paper presents the first study of multi-variate stereotypes that shape the problem by addressing the following factors: travel abroad, family matters, skills and experience, traditional and cultural differences, scholarship opportunities, financial matters, and language complications. These factors were extensively studied, and their effects were estimated by applying the linear-regression, one-way ANOVA, and Scheffe tests. The scholarship opportunity (R2 = 0:354), travel abroad (R2 = 0:281), and financial matters (R2 = 0:226) were the most influential factors on Jordanian women’s decision in pursuing their graduate studies. On the other hand, skills and experience stereotype (R2 = 0:076) has the least influence.

To obtain a challenging position as an associate professor, where my experience and proven accomp... more To obtain a challenging position as an associate professor, where my experience and proven accomplishments will enable me to contribute to the job's objectives. Summary of qualifications Ability to teach and transfer the information clearly. Ability to manage any department professionally and accurately. Ability to investigate problems in Secure Statistical Databases, more specifically developing new micro-aggregation techniques. Ability to investigate problems in Exact String Matching Algorithm. Ability to investigate problems in statistical pattern recognition and data mining fields. Ability to create and manipulate databases in spite of their models: Relational, Object Oriented, Hierarchical, Network, Nested complex Databases and Data Warehouse. Ability to work independently and to incorporate with a group to solve any research problem. Ability to communicate effectively and interface at all levels. Highly motivated, reliable, confident, and committed to professional standards. Excellent organizational and management skills.

International Journal of Advanced Computer Science and Applications, 2020

As of December 2019, the world's view on life has been changed due to ongoing COVID-19 pandemic. ... more As of December 2019, the world's view on life has been changed due to ongoing COVID-19 pandemic. This requires the use of all kinds of technology to help identify coronavirus patients and control the spread of this disease. In this paper, an online questionnaire was developed as a tool to collect data. This data was used as an input for various prediction models based on statistical model (Logistic Regression, LR) and machine learning model (Support Vector Machine, SVM, and Multi-Layer Perceptron, MLP). These models were utilized to predict potential patients of COVID-19 based on their signs and symptoms. The MLP has shown the best accuracy (91.62%) compared to the other models. Meanwhile, the SVM has shown the best precision 91.67%.

Procedia Computer Science, 2016

Social communication is one of the most important pillars that our society based on. It is well-k... more Social communication is one of the most important pillars that our society based on. It is well-known that the language is the only way to communicate and interact with each other verbally or non-verbal way. People with special needs are members of this society and have the right to enjoy the communication with the external environment in an easy and professional manner. This paper aims to provide an interesting application that guarantees ultimate communication with the disabled users and vice versa. The key feature of this application is employing the Arabic language as a medium of communication to learn all the sign language terms. The power of this application appears in two aspects: first of all, the ability of normal people to communicate with the targeted people without having any previous knowledge on signs language. This can be either achieved by voice recognition of words or by typing the words in the Arabic language. The application is then displays the appropriate image(s) in the sign language. Secondly, and more importantly, people with special needs communicate with normal people by choosing the signs images on their phones from the numerous categories stored in the databases which express their ideas and thoughts. Consequently, the set of images is transformed into a text paragraph. We evaluated our application by testing it on real deaf and dumb users. We carefully created scenarios on realistic situations. The early results are promising as all deaf found the proposed technology useful and 90% of them wanted to use it on daily basis.

International Journal of Innovation and Learning, 2015

We consider applicability of the e-learning at Hashemite University (HU) from different perspecti... more We consider applicability of the e-learning at Hashemite University (HU) from different perspectives based on the academic major of students. The e-learning concept had professionally been applied on some majors offered at the HU and gained a great impact on the learning process, students and staff. The HU has made an excellent progress toward practicing e-learning environment through sequence of actions in real life scenario that overcome the limitations related to the traditional learning system. This paper presents the first study of multi-variate factors that influence the e-learning process at HU by applying the linear-regression, one-way ANOVA and Scheffe tests.

Information Security and Privacy

We consider the Micro-Aggregation Problem (MAP) in secure statistical databases which involves pa... more We consider the Micro-Aggregation Problem (MAP) in secure statistical databases which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best partition of the micro-data file, is known to be NP-hard, and has been tackled using many heuristic solutions. In this paper, we would like to demonstrate that in the process of developing Micro-Aggregation Techniques (MATs), it is expedient to incorporate information about the dependence between the random variables in the micro-data file. This can be achieved by pre-processing the micro-data before invoking any MAT, in order to extract the useful dependence information from the joint probability distribution of the variables in the micro-data file, and then accomplishing the microaggregation on the "maximally independent" variables. Our results, on real life data sets, show that including such information will enhance the process of determining how many variables are to be used, and which of them should be used in the microaggregation process.

Lecture Notes in Computer Science, 2008

Although Artificial Intelligent (AI) techniques have been used in various applications, their use... more Although Artificial Intelligent (AI) techniques have been used in various applications, their use in maintaining security in Statistical DataBases (SDBs) has not been reported. This paper presents results, that to the best of our knowledge is pioneering, by which concepts from causal networks are used to secure SDBs. We consider the Micro-Aggregation Problem (MAP) in secure SDBs which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best partition of the micro-data file, is known to be NP-hard, and has been tackled using many heuristic solutions. In this paper, we would like to demonstrate that in the process of developing Micro-Aggregation Techniques (MATs), it is expedient to incorporate AI-based causal information about the dependence between the random variables in the micro-data file. This can be achieved by pre-processing the micro-data before invoking any MAT, in order to extract the useful dependence information from the joint probability distribution of the variables in the micro-data file, and then accomplishing the microaggregation on the "maximally independent" variables. Our results, on artificial life data sets, show that including such information will enhance the process of determining how many variables are to be used, and which of them should be used in the microaggregation process.

2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), 2014

Wi-Fi Direct is considered as the way to connect people by offering a wider connectivity to the a... more Wi-Fi Direct is considered as the way to connect people by offering a wider connectivity to the authorized devices. This paper presents a prototype that connects more than two displays wirelessly to create a VGA host by integrating the Miracast Application Program Interface (API) with Wi-Fi direct technology. This achievement supports high-quality multimedia streaming, audio and video conferencing, texts, gaming and more other applications. The behavior of the proposed prototype is measured by assessing the minimum number of connected group of devices, as well as the expected throughput in real life scenario. The experimental results show a remarkable overall performances measured by throughput, significance and applicability of the proposed prototype.

International Journal of Networking and Virtual Organisations, 2014

A new model is required for wireless Bluetooth technology that enhances media streaming between d... more A new model is required for wireless Bluetooth technology that enhances media streaming between different devices. This paper presents a novel system that utilises the intermediate protocol L2CAP and a newly proposed integrated buffering architecture to stream media file via Bluetooth technology that is called 'mBlueThunder'. The new system overcomes the jittering playback problem, time delay and compatibility issues. The experimental results show a remarkable improvement in streaming file reaching up to 35% comparable to the state-of-the-art technique. The overall results highlight great impact, significance and applicability of the proposed system.

2013 1st International Conference & Exhibition on the Applications of Information Technology to Renewable Energy Processes and Systems, 2013

Photovoltaic system (PVS) is used for generating electric power by using solar cells to convert e... more Photovoltaic system (PVS) is used for generating electric power by using solar cells to convert energy from the sun light into a flow of direct current electricity, which can be used to power equipment or to recharge a battery. In addition, the Sound biometric techniques can enable PVS to listen and understand their surrounding auditory environment since turning the lights on all the nights will get through a lot of energy which it might be used in other significant concerns. This paper proposed a model of combination between PVS to generate power energy (electricity) from the sunlight controlled by a sound biometric technique to reduce the consumption of the generated power energy by turning the lights on for the highways only when there are cars on the highway and only for some period of time to make the driving out of harmful ways and trouble-free; followed by an implementation of the proposed combination model between the PVS and biometric sound chip and a presentation of a discussion of the proposed system results.

International Journal of Information Technology and Web Engineering, 2014

This chapter presents the proposed model of combination between Photovoltaic solar system resourc... more This chapter presents the proposed model of combination between Photovoltaic solar system resources and sound biometric techniques, to generate power energy from the sunlight using the PVS controlled by a sound biometric technique. This work contributes to research knowledge by proposing and validating a sound biometric technique for allowing to reduce the consumption of the generated power energy by turn the lights on for the public roads only when there are vehicles on the way and only for some period of time to make the driving out of harm's way and trouble-free. The proposed and combination models between the PVS and biometric sound chip is used for generating electric power by using solar cells to convert energy from the sun light into a flow of direct current electricity, which can be used to power equipment or to recharge a battery. In addition the Sound biometric techniques can enable PVS to listen and understand their surrounding auditory environment since turning the l...