Browsing by Author "Hassan, Mohammad Mahdi"

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Agent-based automated image descriptor approach for visually impaired people
(Saudi Digital Library) Hassan, Mohammad Mahdi
Now-a-days, with the development of high quality graphical software, almost every presentation contains some kind of images. This makes a problem for special users like visually impaired people to understand the presentation, as there is a support for text to voice conversion but there is no a support for images. For mixed documents which contain both pictures and text we propose a hybrid model to make a descriptive text for statistical and geometrical pictures that are easily recognizable. We also use similarity searching with standard annotated templates for both geometrical and non geometrical images to get a meaningful description. At first, the document is categorized according to the associated texts by a neural classifier which is trained using advanced text mining concepts. Then, the similarity matching is performed only in that specific domain and thus, improved matching rate is obtained. Another benefit of the proposed model is that specific matching techniques suitable for a particular domain can be developed and easily adopted to the system. The core of this process is to differentiate geometrical images from ordinary images and we have made a classifier by using these six features information. Out of these six features we have devised four new features based on color projection that can be used for future research in this domain.
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Investigating possible use of Blockchain technology in local businesses to ensure transparency, integrity, and security of transactional data
(Saudi Digital Library, 2021) Alrumaih, Malak Suliman; Hassan, Mohammad Mahdi
Blockchain is an emerging technology based on the distributed digital ledger system. Decentralized trust is one of the key factors behind the blockchain-based system. Transparency of such a system is better than a conventional centralized ledger system. By using a blockchainbased transaction system, any business organization can harness key benefits like data integrity, confidentiality, and anonymity without involving any third party in control of the transactions. Since the blockchain is used in numerous applications and the horizon is expanding at an unprecedented pace. So, there is a need for an organized and systematic review of blockchain platforms. In this thesis, we have reported a systematic literature review on existing blockchain platforms. In particular, we have formulated two research questions to help us determine - what are the major frameworks that have been used to implement blockchainbased systems; and how do they differ in terms of implementation and operation. From the existing literature, we have identified eighty blockchain platforms and the majority of them have a lack of technical details. To provide the researchers with comprehensive literature on blockchain platforms, we identify related technologies and provide a map for further development and research n blockchain technology. After finishing our systematic literature review, we wanted to apply our knowledge and develop a blockchain-based application that can contribute locally. We found that tracking COVID vaccination in a transparent and accountable way is an emerging need. The blockchain platform is a good match for such applications. So we designed and developed COVAC, a blockchain-based application to manage the COVID vaccination process for local organizations. We call it COVAC. Our blockchain-based implementation ensures the transparency, integrity, and security of COVAC.
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