Publications 2021

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https://hdl.handle.net/20.500.14170/3707

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Browsing Publications 2021 by Author "Abdalkareem Z.A."
  • Publication
    Graphical password based mouse behavior technique
    ( 2021-03-01)
    Abdalkareem Z.A.
    ;
    Akif O.Z.
    ;
    Abdulatif F.A.
    ;
    Amiza A.
    ;
    Ehkan P.
    This paper proposes a new password generation technique on the basis of mouse motion and a special case location recognized by the number of clicks to protect sensitive data for different companies. Two, three special locations click points for the users has been proposed to increase password complexity. Unlike other currently available random password generators, the path and number of clicks will be added by admin, and authorized users have to be training on it. This method aims to increase combinations for the graphical password generation using mouse motion for a limited number of users. A mathematical model is developed to calculate the performance of the password. The proposed technique in this paper allows the user to keep the ease-of-use in the mouse motion, while minimizing the risk of password guessing. A comparative evaluation has been conducted against a traditional password. The results show that the proposed approach improves the complexity 200% for fix position technique and two variants technique but more than 200% for three variants technique.
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  • Publication
    Healthcare scheduling in optimization context: a review
    ( 2021-05-01)
    Abdalkareem Z.A.
    ;
    Amir A.
    ;
    Al-Betar M.A.
    ;
    Ekhan P.
    ;
    Hammouri A.I.
    This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients’ admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.
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