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Asadullah Shah
Hamad Bin Khalifa University

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Conference paper
Published: 03 July 2021 in Algorithms and Data Structures
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This virtual classroom has created a lot of challenges for students with limited access to the technology (computer or smartphone) or the Internet and especially for the parents of children with developmental disabilities, including children with autism spectrum disorder (ASD). ASD is a lifelong disorder and characterized by difficulties in social communication skills and may exhibit a restricted or repetitive set of behaviors. The number of children with ASD is soaring worldwide. There are no platforms that facilitate remote and interactive learning for children with ASD. In this paper, we describe the process of ideation, and design of an interactive educational platform that utilizes the role of mixed-reality (real-time teaching and virtual teaching) to enable remote learning for children with ASD. This work is a product of our continuous collaboration with special education and assistive technology centers based in Qatar in which we have developed an augmented reality (AR) vocabulary learning application for children with ASD in English and Arabic. The application provides the learning of letters and words in an interactive environment. We plan to extend this app to a full-educational platform using mixed-reality. The ideation and design processes were conducted collaboratively with teachers and specialists. In this platform, the child will be learning in a real-time environment when a teacher, child, and parents are all online together at a given time; however, in the absence of a teacher, a robotic talkative avatar would support a child and its parents in a virtual environment. The teachers will also have the capability to communicate with the children and their parents through the platform. It will also allow teachers, specialists, and parents to monitor the child’s performance as well.

ACS Style

Kamran Khowaja; Dena Al-Thani; Yasmin Abdelaal; Asma Osman Hassan; Younss Ait Mou; Mohamad Hassan Hijab. Towards the Mixed-Reality Platform for the Learning of Children with Autism Spectrum Disorder (ASD): A Case Study in Qatar. Algorithms and Data Structures 2021, 329 -344.

AMA Style

Kamran Khowaja, Dena Al-Thani, Yasmin Abdelaal, Asma Osman Hassan, Younss Ait Mou, Mohamad Hassan Hijab. Towards the Mixed-Reality Platform for the Learning of Children with Autism Spectrum Disorder (ASD): A Case Study in Qatar. Algorithms and Data Structures. 2021; ():329-344.

Chicago/Turabian Style

Kamran Khowaja; Dena Al-Thani; Yasmin Abdelaal; Asma Osman Hassan; Younss Ait Mou; Mohamad Hassan Hijab. 2021. "Towards the Mixed-Reality Platform for the Learning of Children with Autism Spectrum Disorder (ASD): A Case Study in Qatar." Algorithms and Data Structures , no. : 329-344.

Review
Published: 01 May 2021 in Information
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For many users of natural language processing (NLP), it can be challenging to obtain concise, accurate and precise answers to a question. Systems such as question answering (QA) enable users to ask questions and receive feedback in the form of quick answers to questions posed in natural language, rather than in the form of lists of documents delivered by search engines. This task is challenging and involves complex semantic annotation and knowledge representation. This study reviews the literature detailing ontology-based methods that semantically enhance QA for a closed domain, by presenting a literature review of the relevant studies published between 2000 and 2020. The review reports that 83 of the 124 papers considered acknowledge the QA approach, and recommend its development and evaluation using different methods. These methods are evaluated according to accuracy, precision, and recall. An ontological approach to semantically enhancing QA is found to be adopted in a limited way, as many of the studies reviewed concentrated instead on NLP and information retrieval (IR) processing. While the majority of the studies reviewed focus on open domains, this study investigates the closed domain.

ACS Style

Ammar Arbaaeen; Asadullah Shah. Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review. Information 2021, 12, 200 .

AMA Style

Ammar Arbaaeen, Asadullah Shah. Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review. Information. 2021; 12 (5):200.

Chicago/Turabian Style

Ammar Arbaaeen; Asadullah Shah. 2021. "Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review." Information 12, no. 5: 200.

Journal article
Published: 10 November 2020 in IEEE Access
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The advancements in electronic devices have increased the demand for the internet of things (IoT) based smart homes, where the connecting devices are growing at a rapid pace. Connected electronic devices are more common in smart buildings, smart cities, smart grids, and smart homes. The advancements in smart grid technologies have enabled to monitor every moment of energy consumption in smart buildings. The issue with smart devices is more energy consumption as compared to ordinary buildings. Due to smart cities and smart homes’ growth rates, the demand for efficient resource management is also growing day by day. Energy is a vital resource, and its production cost is very high. Due to that, scientists and researchers are working on optimizing energy usage, especially in smart cities, besides providing a comfortable environment. The central focus of this paper is on energy consumption optimization in smart buildings or smart homes. For the comfort index (thermal, visual, and air quality), we have used three parameters, i.e., Temperature (°F), illumination (lx), and CO 2 (ppm). The major problem with the previous methods in the literature is the static user parameters (Temperature, illumination, and CO 2 ); when they (parameters) are assigned at the beginning, they cannot be changed. In this paper, the Alpha Beta filter has been used to predict the indoor Temperature, illumination, and air quality and remove noise from the data. We applied a deep extreme learning machine approach to predict the user parameters. We have used the Bat algorithm and fuzzy logic to optimize energy consumption and comfort index management. The predicted user parameters have improved the system’s overall performance in terms of ease of use of smart systems, energy consumption, and comfort index management. The comfort index after optimization remained near to 1, which proves the significance of the system. After optimization, the power consumption also reduced and stayed around the maximum of 15-18wh.

ACS Style

Abdul Salam Shah; Haidawati Nasir; Muhammad Fayaz; Adidah Lajis; Israr Ullah; Asadullah Shah. Dynamic User Preference Parameters Selection and Energy Consumption Optimization for Smart Homes Using Deep Extreme Learning Machine and Bat Algorithm. IEEE Access 2020, 8, 204744 -204762.

AMA Style

Abdul Salam Shah, Haidawati Nasir, Muhammad Fayaz, Adidah Lajis, Israr Ullah, Asadullah Shah. Dynamic User Preference Parameters Selection and Energy Consumption Optimization for Smart Homes Using Deep Extreme Learning Machine and Bat Algorithm. IEEE Access. 2020; 8 ():204744-204762.

Chicago/Turabian Style

Abdul Salam Shah; Haidawati Nasir; Muhammad Fayaz; Adidah Lajis; Israr Ullah; Asadullah Shah. 2020. "Dynamic User Preference Parameters Selection and Energy Consumption Optimization for Smart Homes Using Deep Extreme Learning Machine and Bat Algorithm." IEEE Access 8, no. : 204744-204762.

Journal article
Published: 31 October 2020 in Energies
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Cloud computing is the de facto platform for deploying resource- and data-intensive real-time applications due to the collaboration of large scale resources operating in cross-administrative domains. For example, real-time systems are generated by smart devices (e.g., sensors in smart homes that monitor surroundings in real-time, security cameras that produce video streams in real-time, cloud gaming, social media streams, etc.). Such low-end devices form a microgrid which has low computational and storage capacity and hence offload data unto the cloud for processing. Cloud computing still lacks mature time-oriented scheduling and resource allocation strategies which thoroughly deliberate stringent QoS. Traditional approaches are sufficient only when applications have real-time and data constraints, and cloud storage resources are located with computational resources where the data are locally available for task execution. Such approaches mainly focus on resource provision and latency, and are prone to missing deadlines during tasks execution due to the urgency of the tasks and limited user budget constraints. The timing and data requirements exacerbate the efficient task scheduling and resource allocation problems. To cope with the aforementioned gaps, we propose a time- and cost-efficient resource allocation strategy for smart systems that periodically offload computational and data-intensive load to the cloud. The proposed strategy minimizes the data files transfer overhead to computing resources by selecting appropriate pairs of computing and storage resources. The celebrated results show the effectiveness of the proposed technique in terms of resource selection and tasks processing within time and budget constraints when compared with the other counterparts.

ACS Style

Muhammad Qureshi; Muhammad Qureshi; Muhammad Fayaz; Muhammad Zakarya; Sheraz Aslam; Asadullah Shah. Time and Cost Efficient Cloud Resource Aallocation for Real-Time Data-Intensive Smart Systems. Energies 2020, 13, 5706 .

AMA Style

Muhammad Qureshi, Muhammad Qureshi, Muhammad Fayaz, Muhammad Zakarya, Sheraz Aslam, Asadullah Shah. Time and Cost Efficient Cloud Resource Aallocation for Real-Time Data-Intensive Smart Systems. Energies. 2020; 13 (21):5706.

Chicago/Turabian Style

Muhammad Qureshi; Muhammad Qureshi; Muhammad Fayaz; Muhammad Zakarya; Sheraz Aslam; Asadullah Shah. 2020. "Time and Cost Efficient Cloud Resource Aallocation for Real-Time Data-Intensive Smart Systems." Energies 13, no. 21: 5706.

Conference paper
Published: 10 July 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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The use of different technologies for the intervention of children with autism spectrum disorder (ASD) has increased over the year with the increase in the number of children diagnosed with ASD. In recent years, among the different technologies, the researchers have started to use the augmented reality (AR) to provide the intervention of different skills to children with ASD. The use of AR has many benefits, including ubiquity, minimally work with a camera, among others. Despite several benefits, AR has been underutilized for the vocabulary learning of children with ASD. This paper presents the initial version of the Mobile augmented reality app for children with autism spectrum disorder (ASD) to learn vocabulary (MARVoc). The purpose of developing MARVoc is to support teaching staff at the centers based in Doha, Qatar, to provide an interactive learning environment to children with ASD. The requirements of the MARVoc were gathered from two centers for ASD in Doha; two specific use cases were created from which one use case was finalized for the development of MARVoc. The initial version of the MARVoc was developed; the feedback was taken from the staff working at centers for ASD in Doha, and MARVoc was updated.

ACS Style

Kamran Khowaja; Dena Al-Thani; Asma Osman Hassan; Asadullah Shah; Siti Salwah Salim. Mobile Augmented Reality App for Children with Autism Spectrum Disorder (ASD) to Learn Vocabulary (MARVoc): From the Requirement Gathering to Its Initial Evaluation. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 424 -437.

AMA Style

Kamran Khowaja, Dena Al-Thani, Asma Osman Hassan, Asadullah Shah, Siti Salwah Salim. Mobile Augmented Reality App for Children with Autism Spectrum Disorder (ASD) to Learn Vocabulary (MARVoc): From the Requirement Gathering to Its Initial Evaluation. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():424-437.

Chicago/Turabian Style

Kamran Khowaja; Dena Al-Thani; Asma Osman Hassan; Asadullah Shah; Siti Salwah Salim. 2020. "Mobile Augmented Reality App for Children with Autism Spectrum Disorder (ASD) to Learn Vocabulary (MARVoc): From the Requirement Gathering to Its Initial Evaluation." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 424-437.

Review
Published: 08 April 2020 in IEEE Access
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This paper presents a systematic review of relevant primary studies on the use of augmented reality (AR) to improve various skills of children and adolescents diagnosed with autism spectrum disorder (ASD) from years 2005 to 2018 inclusive in eight bibliographic databases. This systematic review attempts to address eleven specific research questions related to the learing skills, participants, AR technology, research design, data collection methods, settings, evaluation parameters, intervention outcomes, generalization, and maintenance. The social communication skill was the highly targeted skill, and individuals with ASD were part of all the studies. Computer, smartphone, and smartglass are more frequently used technologies. The commonly used research design was pre-test and post-test. Almost all the studies used observation as a data collection method, and classroom environment or controlled research environment were used as a setting of evaluation. Most of the evaluation parameters were human-assisted. The results of the studies show that AR benefited children with ASD in learning skills. The generalization test was conducted in one study only, but the results were not reported. The results of maintenance tests conducted in five studies during a short-term period following the withdrawal of intervention were positive. Although the effect of using AR towards the learning of individuals was positive, given the wide variety of skills targeted in the studies, and the heterogeneity of the participants, a summative conclusion regarding the effectiveness of AR for teaching or learning of skills related to ASD based on the existing literature is not possible. The review also proposes the research taxonomy for ASD. Future research addressing the effectiveness of AR among more participants, different technologies supporting AR for the intervention, generalization, and maintenance of learning skills, and the evaluation in the inslusive classroom environment and other settings is warranted.

ACS Style

Kamran Khowaja; Bilikis Banire; Dena Al-Thani; Mohammed Tahri Sqalli; Aboubakr Aqle; Asadullah Shah; Siti Salwah Salim. Augmented Reality for Learning of Children and Adolescents With Autism Spectrum Disorder (ASD): A Systematic Review. IEEE Access 2020, 8, 78779 -78807.

AMA Style

Kamran Khowaja, Bilikis Banire, Dena Al-Thani, Mohammed Tahri Sqalli, Aboubakr Aqle, Asadullah Shah, Siti Salwah Salim. Augmented Reality for Learning of Children and Adolescents With Autism Spectrum Disorder (ASD): A Systematic Review. IEEE Access. 2020; 8 (99):78779-78807.

Chicago/Turabian Style

Kamran Khowaja; Bilikis Banire; Dena Al-Thani; Mohammed Tahri Sqalli; Aboubakr Aqle; Asadullah Shah; Siti Salwah Salim. 2020. "Augmented Reality for Learning of Children and Adolescents With Autism Spectrum Disorder (ASD): A Systematic Review." IEEE Access 8, no. 99: 78779-78807.

Journal article
Published: 15 December 2019 in International Journal on Perceptive and Cognitive Computing
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Social commerce is a new perspective change in modern electronic business procedures bringing together individuals on social media sites and opens up another electronic social marketing channel to establish business. In developing countries like Pakistan, e-business can help organizations using social commerce and social marketing intelligently on particular social network sites to grasp their business clients while they are interacting with their online community on the social media sites. This study investigated consumers’ behavior towards adoption of social commerce and introduced a revised and extended social commerce technology model. The investigation proved the proposed model is valid by confirming loading factor, Kaiser-Mayer-Olkin (KMO), reliability analysis, and structural equation modeling approach for hypotheses tests. The study found Perceived Ease of Use (PEU), Perceived Usefulness (PU), Social Media Influence (SMI), and Risk (RI) have significant impact on social commerce adoption in e-business of Pakistan. More, Trust (TR) and Web experience (WXP) were insignificant that revealed the preventive behavior towards adoption of social commerce in e-business of Pakistan.

ACS Style

Yasir Ali Solangi; Zulfiqar Ali Solangi; Zulfikar Ahmed Maher; Madihah Abd. Aziz; Mohd Syarqawy Hamzah; Asadullah Shah. Revised and Extended Social Commerce Technology Adoption in e-business of Pakistan. International Journal on Perceptive and Cognitive Computing 2019, 5, 52 -58.

AMA Style

Yasir Ali Solangi, Zulfiqar Ali Solangi, Zulfikar Ahmed Maher, Madihah Abd. Aziz, Mohd Syarqawy Hamzah, Asadullah Shah. Revised and Extended Social Commerce Technology Adoption in e-business of Pakistan. International Journal on Perceptive and Cognitive Computing. 2019; 5 (2):52-58.

Chicago/Turabian Style

Yasir Ali Solangi; Zulfiqar Ali Solangi; Zulfikar Ahmed Maher; Madihah Abd. Aziz; Mohd Syarqawy Hamzah; Asadullah Shah. 2019. "Revised and Extended Social Commerce Technology Adoption in e-business of Pakistan." International Journal on Perceptive and Cognitive Computing 5, no. 2: 52-58.

Review
Published: 08 March 2019 in Information
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In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gaps in the literature are due to advancements in technology, the drawbacks of optimization algorithms, and the introduction of new optimization algorithms. Further, many newly proposed optimization algorithms have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. Detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes.

ACS Style

Abdul Salam Shah; Haidawati Nasir; Muhammad Fayaz; Adidah Lajis; Asadullah Shah. A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments. Information 2019, 10, 108 .

AMA Style

Abdul Salam Shah, Haidawati Nasir, Muhammad Fayaz, Adidah Lajis, Asadullah Shah. A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments. Information. 2019; 10 (3):108.

Chicago/Turabian Style

Abdul Salam Shah; Haidawati Nasir; Muhammad Fayaz; Adidah Lajis; Asadullah Shah. 2019. "A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments." Information 10, no. 3: 108.

Review
Published: 04 March 2019 in Universal Access in the Information Society
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This paper presents a systematic review of the literature on the modalities used in computer-based interventions (CBIs) and the impact of using these interventions in the learning, generalisation, and maintenance of language comprehension and decoding skills for children with autism spectrum disorder (ASD), ending with an appraisal of the certainty of evidence. Despite the importance of both skills in the reading comprehension and overall learning, a limited number of studies have been found. These include seven studies on language comprehension and seven studies on decoding. The shortlisted studies were analysed and a very limited number of modalities were found to have been used; text, graphics, audio, video, and mouse movement are used in all the studies and are termed basic modalities. Statistical analysis was also conducted on three parameters: (1) outcome of the study; (2) generalisation; and (3) maintenance. The analysis showed that CBIs were effective in facilitating these children’s learning; there was a significant improvement in the performance of children from the baseline to during and the post-intervention period. The analysis of generalisation has revealed positive results, indicating that the children were able to transfer information to a different setting or situation. Positive results are also noted from the analysis of maintenance, which indicate that the children retained information following the withdrawal of intervention. The combination of teachers’ instructions and CBI has provided better results than using either of them separately. This study has discovered 23 potential modalities and 2 potential CBIs including serious games and virtual learning environments that can be explored for language comprehension and decoding skills.

ACS Style

Kamran Khowaja; Siti Salwah Salim; Adeleh Asemi; Sumbul Ghulamani; Asadullah Shah. A systematic review of modalities in computer-based interventions (CBIs) for language comprehension and decoding skills of children with autism spectrum disorder (ASD). Universal Access in the Information Society 2019, 19, 213 -243.

AMA Style

Kamran Khowaja, Siti Salwah Salim, Adeleh Asemi, Sumbul Ghulamani, Asadullah Shah. A systematic review of modalities in computer-based interventions (CBIs) for language comprehension and decoding skills of children with autism spectrum disorder (ASD). Universal Access in the Information Society. 2019; 19 (2):213-243.

Chicago/Turabian Style

Kamran Khowaja; Siti Salwah Salim; Adeleh Asemi; Sumbul Ghulamani; Asadullah Shah. 2019. "A systematic review of modalities in computer-based interventions (CBIs) for language comprehension and decoding skills of children with autism spectrum disorder (ASD)." Universal Access in the Information Society 19, no. 2: 213-243.

Review
Published: 18 December 2018 in International Journal on Perceptive and Cognitive Computing
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Massive Open Online Courses (MOOCs) are considered as important trends in electroniclearning (e-learning) in higher education. Many universities offered MOOCs to any learners who preferlearning via the internet and benefiting from the offered courses online. Massive Open Online Courses areopen learning to anyone to enrol and study and many offered courses are free which do not require payingfees. MOOCs are delivered as video-based content via the internet offered by educational institutions anduniversities to many international learners. There is a lack of previous studies and scientific papers thatinvestigates the global role of MOOCs in e-learning. MOOCs has emerged due to learning theories relatedto learners whether individuals or networks of learners. Therefore, this paper reviews Massive Open OnlineCourses characteristics, it spread around the world, its practical implementation in e-learning LearningManagement Systems (LMS) and its theoretical contributing roles to enhance e-learning through its rolesin promoting e-learning theories.

ACS Style

Mohamed Ali Mahmod; Asma Md. Ali; Asadullah Shah. Massive Open Online Courses as an Augmentation of E-Learning: A Review. International Journal on Perceptive and Cognitive Computing 2018, 4, 1 -4.

AMA Style

Mohamed Ali Mahmod, Asma Md. Ali, Asadullah Shah. Massive Open Online Courses as an Augmentation of E-Learning: A Review. International Journal on Perceptive and Cognitive Computing. 2018; 4 (2):1-4.

Chicago/Turabian Style

Mohamed Ali Mahmod; Asma Md. Ali; Asadullah Shah. 2018. "Massive Open Online Courses as an Augmentation of E-Learning: A Review." International Journal on Perceptive and Cognitive Computing 4, no. 2: 1-4.

Journal article
Published: 07 October 2018 in International Journal of Engineering & Technology
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WSN multimedia services are currently being used by several types of applications. These services experiences performance related issues in the form of slow data rates, packet loss etc. due to stringent resources. Lots of solutions are contributed to develop a system that optimizes the resources utilization, performance and packet loss. Performance evaluation for enhancing QoS of WSN is also required where packets arrive and depart the service facility (sink) in burst. In this paper, novel analytical approach is developed for packets arrival from sensor node in burst and departure of services after getting the facility, in burst. The evaluation has been performed by shifting coefficient of variance for the time when services are provided in burst and when services are arrived on different scales of utilization of the sink node. At the end of this paper quantitative results are compared after applying priority to data packets to check credibility of proposed solution.

ACS Style

Tehmina Karamat Khan; Asadullah Shah; Zulkefli Bin Muhammad Yusof. Performance Optimization of Wireless Sensor network for Multimedia services. International Journal of Engineering & Technology 2018, 7, 323 -326.

AMA Style

Tehmina Karamat Khan, Asadullah Shah, Zulkefli Bin Muhammad Yusof. Performance Optimization of Wireless Sensor network for Multimedia services. International Journal of Engineering & Technology. 2018; 7 (4.15):323-326.

Chicago/Turabian Style

Tehmina Karamat Khan; Asadullah Shah; Zulkefli Bin Muhammad Yusof. 2018. "Performance Optimization of Wireless Sensor network for Multimedia services." International Journal of Engineering & Technology 7, no. 4.15: 323-326.

Journal article
Published: 07 October 2018 in International Journal of Engineering & Technology
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Industrial and academic communities have been trying to get more computational power out of their investments. Data centers have recently received huge attention due to its increased business value and achievable scalability on public/private clouds. Infra-structure and applications of modern data center is being virtualized to achieve energy efficient operation on servers. Despite of data center advantages on performance, there is a tradeoff between power and performance especially with cloud data centers. Today, these cloud application-based organizations are facing many energy related challenges. In this paper, through survey it has been analyzed how virtualization and networking related challenges affects energy efficiency of data center with suggested optimization strategies.

ACS Style

Tehmina Karamat Khan; Mohsin Tanveer; Asadullah Shah. Energy Efficiency in Virtualized Data Center. International Journal of Engineering & Technology 2018, 7, 315 -317.

AMA Style

Tehmina Karamat Khan, Mohsin Tanveer, Asadullah Shah. Energy Efficiency in Virtualized Data Center. International Journal of Engineering & Technology. 2018; 7 (4.15):315-317.

Chicago/Turabian Style

Tehmina Karamat Khan; Mohsin Tanveer; Asadullah Shah. 2018. "Energy Efficiency in Virtualized Data Center." International Journal of Engineering & Technology 7, no. 4.15: 315-317.

Journal article
Published: 08 June 2018 in International Journal of Engineering & Technology
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The research aimed to design and evaluate an innovative Web 2.0-based collaborative learning with the Islamic ethical system to support Islamicisation and the practice of Islam as a way of life that is the main goal of Islamic education. This is in response to the lesser amount of focus in Islamic education on the real example of integrating ICT into the collaborative learning process that could support social constructivist learning goals and skills for use of Islamic knowledge in daily life. The most important argument is that the students should be given an appropriate and practical platform where they can practice collaboratively and share their experiences that design science research methodology and Facebook features in this study could support these needs and arguments. Expert review, user testing were conducted and quality, effectiveness and usability of developed Web 2.0-based collaborative learning confirmed.

ACS Style

Fariba Ataie; Asadullah Shah; Najma Imtiaz Ali. Integration Social Media Technology and Ethical Collaborative Learning. International Journal of Engineering & Technology 2018, 7, 12 -15.

AMA Style

Fariba Ataie, Asadullah Shah, Najma Imtiaz Ali. Integration Social Media Technology and Ethical Collaborative Learning. International Journal of Engineering & Technology. 2018; 7 (2.34):12-15.

Chicago/Turabian Style

Fariba Ataie; Asadullah Shah; Najma Imtiaz Ali. 2018. "Integration Social Media Technology and Ethical Collaborative Learning." International Journal of Engineering & Technology 7, no. 2.34: 12-15.

Conference paper
Published: 01 November 2017 in 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS)
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The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by increasing the training data. In this paper, a more accurate Carnegie Melon University Sphinx acoustic model was trained for the Holy Quran chapters 001, and 067 to 114. When more efforts were put into having a more accurate training data, the resulting Word Error Rate of trained acoustic model reached around 15%.

ACS Style

Mohamed Yassine El Amrani; M. M. Hafizur Rahman; Mohamed Ridza Wahiddin; Asadullah Shah. Towards an accurate speaker-independent Holy Quran acoustic model. 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) 2017, 1 -4.

AMA Style

Mohamed Yassine El Amrani, M. M. Hafizur Rahman, Mohamed Ridza Wahiddin, Asadullah Shah. Towards an accurate speaker-independent Holy Quran acoustic model. 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS). 2017; ():1-4.

Chicago/Turabian Style

Mohamed Yassine El Amrani; M. M. Hafizur Rahman; Mohamed Ridza Wahiddin; Asadullah Shah. 2017. "Towards an accurate speaker-independent Holy Quran acoustic model." 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) , no. : 1-4.

Journal article
Published: 01 November 2016 in Egyptian Informatics Journal
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This paper investigates the use of a simplified set of Arabic phonemes in an Arabic Speech Recognition system applied to Holy Quran. The CMU Sphinx 4 was used to train and evaluate a language model for the Hafs narration of the Holy Quran. The building of the language model was done using a simplified list of Arabic phonemes instead of the mainly used Romanized set in order to simplify the process of generating the language model. The experiments resulted in very low Word Error Rate (WER) reaching 1.5% while using a very small set of audio files during the training phase when using all the audio data for both the training and the testing phases. However, when using 90% and 80% of the training data, the WER obtained was respectively 50.0% and 55.7%

ACS Style

Mohamed Yassine El Amrani; M.M. Hafizur Rahman; Mohamed Ridza Wahiddin; Asadullah Shah. Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes. Egyptian Informatics Journal 2016, 17, 305 -314.

AMA Style

Mohamed Yassine El Amrani, M.M. Hafizur Rahman, Mohamed Ridza Wahiddin, Asadullah Shah. Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes. Egyptian Informatics Journal. 2016; 17 (3):305-314.

Chicago/Turabian Style

Mohamed Yassine El Amrani; M.M. Hafizur Rahman; Mohamed Ridza Wahiddin; Asadullah Shah. 2016. "Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes." Egyptian Informatics Journal 17, no. 3: 305-314.

Conference paper
Published: 01 November 2016 in 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M)
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The Carnegie Mellon University's (CMU) Sphinx framework is increasingly used for the Arabic speech recognition in general and applied to the Holy Quran in particular. Generating the language model includes a tedious task of preparing the transcriptions for all the data. In this paper, we investigate the fault-tolerance of the automatically generated language model as compared to a corrected and uncorrected transcription with and without silence tagging. This editing addresses the different repetitions and pauses encountered during recitations. Experiments show that the average difference between the lowest and highest Word Error Rate (WER) for each configuration of the number of Senones is 0.6% when using all files for the training and 1.6% when using 80% of the files for training the language model of 17 chapters of the Holy Quran. Results show that the performance of trained models without any correction can be close to when all required rectifications of transcriptions are performed.

ACS Style

Mohamed Yassine El Amrani; M.M. Hafizur Rahman; Mohamed Ridza Wahiddin; Asadullah Shah. Testing Sphinx's Language Model Fault-Tolerance for the Holy Quran. 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M) 2016, 88 -92.

AMA Style

Mohamed Yassine El Amrani, M.M. Hafizur Rahman, Mohamed Ridza Wahiddin, Asadullah Shah. Testing Sphinx's Language Model Fault-Tolerance for the Holy Quran. 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M). 2016; ():88-92.

Chicago/Turabian Style

Mohamed Yassine El Amrani; M.M. Hafizur Rahman; Mohamed Ridza Wahiddin; Asadullah Shah. 2016. "Testing Sphinx's Language Model Fault-Tolerance for the Holy Quran." 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M) , no. : 88-92.

Articles
Published: 20 July 2015 in IETE Technical Review
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In this paper, we have discussed the architectural structure, static network performance, and dynamic communication performance of a new hierarchical interconnection network called hierarchical Tori connected mesh network (HTM). For the exploration of static network performance, we have evaluated degree, diameter, cost, average distance, arc-connectivity, bisection width, and wiring complexity. We have also evaluated the dynamic communication performance of HTM, its counter rival H3DM, and conventional mesh and torus networks using a deadlock-free dimension order routing using two virtual channels under uniform and non-uniform traffic patterns. The dynamic communication performance is evaluated using computer simulation. We discovered that the HTM has a number of lucrative properties. These include constant node degree, small diameter, low cost, small average distance, moderate (neither too low, nor too high) bisection width, and less wiring complexity. HTM also yields high throughput per link and very low zero load latency, which provide better dynamic communication performance than that of H3DM, mesh, and torus networks.

ACS Style

M.M. Hafizur Rahman; Asadullah Shah; Masaru Fukushi; Yasushi Inoguchi. HTM: a new hierarchical interconnection network for future generation parallel computers. IETE Technical Review 2015, 33, 93 -104.

AMA Style

M.M. Hafizur Rahman, Asadullah Shah, Masaru Fukushi, Yasushi Inoguchi. HTM: a new hierarchical interconnection network for future generation parallel computers. IETE Technical Review. 2015; 33 (2):93-104.

Chicago/Turabian Style

M.M. Hafizur Rahman; Asadullah Shah; Masaru Fukushi; Yasushi Inoguchi. 2015. "HTM: a new hierarchical interconnection network for future generation parallel computers." IETE Technical Review 33, no. 2: 93-104.

Journal article
Published: 08 April 2015 in International Journal of Modern Education and Computer Science
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ACS Style

Abdul Salam Shah; M. N. A. Khan; Asadullah Shah. An Appraisal of Off-line Signature Verification Techniques. International Journal of Modern Education and Computer Science 2015, 7, 67 -75.

AMA Style

Abdul Salam Shah, M. N. A. Khan, Asadullah Shah. An Appraisal of Off-line Signature Verification Techniques. International Journal of Modern Education and Computer Science. 2015; 7 (4):67-75.

Chicago/Turabian Style

Abdul Salam Shah; M. N. A. Khan; Asadullah Shah. 2015. "An Appraisal of Off-line Signature Verification Techniques." International Journal of Modern Education and Computer Science 7, no. 4: 67-75.

Conference paper
Published: 01 January 2013 in Computer Vision
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Hierarchical interconnection networks provide high performance at low cost by exploring the locality that exists in the communication patterns of massively parallel computers. A Hierarchical Tori connected Mesh Network (HTM) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-mesh networks that are hierarchically interconnected for higher-level networks. This paper addresses the architectural details of the HTM and explores aspects such as degree, diameter, cost, average distance, arc connectivity, bisection width, and wiring complexity. We also present a deadlock-free routing algorithm for the HTM using two virtual channels and evaluate the network’s dynamic communication performance using the proposed routing algorithm under uniform traffic and bit-flip traffic patterns. We evaluate the dynamic communication performance of HTM, H3DM, mesh, and torus networks by computer simulation. It is shown that the HTM possesses several attractive features, including constant node degree, small diameter, low cost, small average distance, moderate (neither too low, nor too high) bisection width, small wiring complexity, and high throughput per link and very low zero load latency, which provide better dynamic communication performance than that of H3DM, mesh, and torus networks.

ACS Style

M. M. Hafizur Rahman; Asadullah Shah; Masaru Fukushi; Yasushi Inoguchi. Hierarchical Tori Connected Mesh Network. Computer Vision 2013, 197 -210.

AMA Style

M. M. Hafizur Rahman, Asadullah Shah, Masaru Fukushi, Yasushi Inoguchi. Hierarchical Tori Connected Mesh Network. Computer Vision. 2013; ():197-210.

Chicago/Turabian Style

M. M. Hafizur Rahman; Asadullah Shah; Masaru Fukushi; Yasushi Inoguchi. 2013. "Hierarchical Tori Connected Mesh Network." Computer Vision , no. : 197-210.