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7 results on '"Ali, W. B."'

1. Achieving higher orientation degree in DyBa2Cu3Oy (y ∼ 7) superconductor through linear drive type of modulated rotating magnetic field.

Author

Ali, W. B., Adachi, S., Kimura, F., and Horii, S.

Subjects
*MAGNETIC fields, *SUPERCONDUCTORS, *EPITAXY, *MAGNETS, *PERMANENT magnets
Abstract

This study presents an approach to achieve a triaxial magnetic alignment through a linear drive type of modulated rotating magnetic field by using a permanent magnet array. This magnet array generates a modulated rotating magnetic field (MRF) without moving the sample and can produce an MRF of ∼ 0.8 T. By utilizing this magnet array, DyBa2Cu3Oy (Dy123, y ∼ 7) grains were biaxially aligned. After cutting the as-aligned sample that was magnetically aligned, we observed a location dependence of the orientation degree. We achieved the higher in-plane orientation degree of ∼ 8.5° and the c-axis orientation degree of ∼ 6.0°, respectively. The 3D simulation analysis played a key role in identifying the region where the uniformity of the MRF is within the magnet array. Compared to the epitaxial growth techniques, the use of the magnet array offers a cost-effective and versatile solution for achieving triaxial magnetic alignment. [ABSTRACT FROM AUTHOR]

Published
2023
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3. Sociodemographic factors in Arab children with Autism Spectrum Disorders

Author

mostafa amr, Ali, W. B., Hablas, H., Raddad, D., El-Mehesh, F., El-Gilany, A. -H, and Al-Shamy, H.

Subjects
Male, Parents, lcsh:R5-920, Jordan, Adolescent, lcsh:Public aspects of medicine, Research, Saudi Arabia, lcsh:RA1-1270, autistic symptoms, behavioral disciplines and activities, Health Services Accessibility, Arabs, Socioeconomic Factors, maladaptive behavior, Child Development Disorders, Pervasive, Child, Preschool, mental disorders, socio-demographic variables, Humans, Egypt, Female, lcsh:Medicine (General), Child, Autistic spectrum disorders
Abstract

Introduction: There is a critical gap in Autistic Spectrum Disorders (ASD) research with respect to manifestations of the condition in developing countries This study examined the influence of sociodemographic variables on the severity of autistic symptoms and behavioral profile in Arab children. Methods: The total study sample comprised of 60 Arab children (38 boys and 22 girls) from three Arab countries (22 Jordanians, 19 Saudis and 19 Egyptians). The diagnosis of Autism Spectrum Disorders (ASD) was based on DSM-IV criteria supplemented by direct observation according to the Indian Scale for Assessment of Autism (ISAA) and assessment of Intelligent Quotient (IQ). Finally, parents rated their child on the Achenbach Child Behavior Checklist (CBCL). Results: It was found that the housewives and Saudi parents described more autistic symptoms and externalizing behavior problems. A significant negative correlation was found between IQ and each of ISAA, CBCL Internalizing and Externalizing problems scores. Conclusion: The study concluded that the clinical presentation of ASD may be shaped by cultural factors that are likely to help to formulate specific diagnosis and intervention techniques in Arab children with ASD. Pan African Medical Journal 2012; 13:65

Published
2012

4. Bio-Inspired Bags-of-Features for Image Classification

Author

Ali, W. B. H., Debreuve, E., Pierre Kornprobst, Barlaud, M., Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe IMAGES-CREATIVE, Signal, Images et Systèmes (Laboratoire I3S - SIS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), NEUROMATHCOMP, Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-INRIA Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)

Subjects
[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM], Computer Science::Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Abstract

International audience; The challenge of image classification is based on two key elements: the image representation and the algorithm of classification. In this paper, we revisited the topic of image representation. Classical descriptors such as Bag-of-Features are usually based on SIFT. We propose here an alternative based on bio-inspired features. This approach is inspired by a model of the retina which acts as an image filter to detect local contrasts. We show the promising results that we obtained in natural scenes classification with the proposed bio-inspired image representation.

Published
2011

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