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Alnefaie, Adhwaa M.,Bagadood, Nizar H. International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.12
Distance learning for students with intellectual disabilities can prove beneficial, particularly if adjusted to their educational characteristics and needs. This study seeks to identify the views of parents living in Saudi Arabia, regarding the opportunities offered by distance learning for students with intellectual disabilities, alongside their challenges during the Covid-19 pandemic. The research employed qualitative methods using semi-structured interviews with six parents of students with intellectual disabilities. The results revealed a number of both opportunities and challenges, including issues related to the family, in addition, the data highlighted difficulties related to the educational process (i.e. a lack of variety of educational methods) and technical issues related to access to the Internet and the insufficient computer skills of both teachers and students. The findings have several important implications for future practice, including the need for training workshops for parents concerning the online platform, as well as further research to determine students' perspectives of their experiences with distance learning.
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A Distributed Fog-based Access Control Architecture for IoT
( Seham Alnefaie ),( Asma Cherif ),( Suhair Alshehri ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.12
The evolution of IoT technology is having a significant impact on people’s lives. Almost all areas of people’s lives are benefiting from increased productivity and simplification made possible by this trending technology. On the downside, however, the application of IoT technology is posing some security challenges, among them, unauthorized access to IoT devices. This paper presents an Attribute-based Access Control Fog architecture that aims to achieve effective distribution, increase availability and decrease latency. In the proposed architecture, the main functional points of the Attribute-based Access Control are distributed to provide policy decision and policy information mechanisms in fog nodes, locating these functions near end nodes. To evaluate the proposed architecture, an access control engine based on the Attribute-based Access Control was built using the Balana library and simulated using EdgeCloudSim to compare it to the traditional cloud-based architecture. The experiments show that the fog-based architecture provides robust results in terms of reducing latency in making access decisions.
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Multicracks identification in beams based on moving harmonic excitation
Hajar Chouiyakh,Lahcen Azrar,Khaled Alnefaie,Omar Akourri 국제구조공학회 2016 Structural Engineering and Mechanics, An Int'l Jou Vol.58 No.6
A method of damage detection based on the moving harmonic excitation and continuous wavelet transforms is presented. The applied excitation is used as a moving actuator and its frequency and speed parameters can be adjusted for an amplified response. The continuous wavelet transforms, CWT, is used for cracks detection based on the resulting amplified signal. It is demonstrated that this identification procedure is largely better than the classical ones based on eigenfrequencies or on the eigenmodes wavelet transformed. For vibration responses, free and forced vibration analyses of multi-cracked beams are investigated based on both analytical and numerical methodological approaches. Cracks are modeled through rotational springs whose compliances are evaluated using linear elastic fracture mechanics. Based on the obtained forced responses, multi-cracks positions are accurately identified and the CWT identification can be highly improved by adjusting the frequency and the speed excitation parameters.
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The Top-100 most cited articles on Moyamoya disease: A bibliometric analysis
Alkhaibary Ali,Almutairi Othman T.,Elarjani Turki,Alnefaie Nada,Alhussinan Modhi A.,Bafaquh Mohammed,Alturki Abdulrahman Y. 대한뇌혈관외과학회 2021 Journal of Cerebrovascular and Endovascular Neuros Vol.23 No.2
Objective Moyamoya disease (MMD) is a progressive steno-occlusive cerebrovascular phenomenon with unknown pathogenesis. Considering the abundance of articles addressing Moyamoya disease, a detailed analysis concerning the publication trends is of paramount importance. The aim of the study is to report the current knowledge of the top-100 most cited articles on Moyamoya disease in the literature. Methods A non-time restricted keyword-based search was performed in June 2020 using the Scopus database. The search keywords included the following: “Moyamoya”, “Moyamoya disease”, and “Moyamoya syndrome”. The search result was used to rank the articles based on their citation count. The top-100 most-cited articles were obtained and classified into seven categories. Results A total of 3,543 articles on Moyamoya disease were published between 1955 and 2020. The Top-100 articles were published between 1977 and 2016 with a total of 16,119 citations, per year, and 7.23% rate of self-citation. The 1990s was the most productive decade (N=42). The most contributing country to the list was Japan (N=60). Stroke was the most active journal (N=23). Houkin, K., a Japanese neurosurgeon, was the most prolific author (N=15). Conclusions Moyamoya disease has been extensively investigated in the literature throughout the years. The majority of articles published in the literature were addressing the surgical management and clinical outcome. Authors from neurosurgical backgrounds were the most active contributors to the field of Moyamoya disease.
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A. M. Zenkour,A. E. Abouelregal,K. A. Alnefaie,N. H. Abu-Hamdeh,A. A. Aljinaidi,E. C. Aifantis 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.7
In this article, an Euler-Bernoulli beam model based upon nonlocal thermoelasticity theory without energy dissipation is used to studythe vibration of a nanobeam subjected to ramp-type heating. Classical continuum theory is inherently size independent, while nonlocalelasticity exhibits size dependence. Among other things, this leads to a new expression for the effective nonlocal bending moment ascontrasted to its classical counterpart. The thermal problem is addressed in the context of the Green-Naghdi (GN) theory of heat transportwithout energy dissipation. The governing partial differential equations are solved in the Laplace transform domain by the state spaceapproach of modern control theory. Inverse of Laplace transforms are computed numerically using Fourier expansion techniques. Theeffects of nonlocality and ramping time parameters on the lateral vibration, temperature, displacement and bending moment are discussed.
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