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M

M.F. Wong

Researcher at Orange S.A.

Publications -  49
Citations -  709

M.F. Wong is an academic researcher from Orange S.A.. The author has contributed to research in topics: Finite element method & Finite-difference time-domain method. The author has an hindex of 11, co-authored 49 publications receiving 665 citations.

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Analysis of RF exposure in the head tissues of children and adults

TL;DR: This paper analyzes the radio frequencies exposure in the head tissues of children using a cellular handset or RF sources (a dipole and a generic handset) at 900, 1800, 2100 and 2400 MHz to indicate that the maximum SAR in 1 g of peripheral brain tissues of the child models aged between 5 and 8 years is about two times higher than in adult models.
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Variability analysis of SAR from 20 MHz to 2.4 GHz for different adult and child models using finite-difference time-domain

TL;DR: Results show that for adults, compliance with reference levels ensures compliance with basic restrictions, but concerning children models involved in this study, the whole-body-averaged SAR goes over the fundamental safety limits up to 40%.
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A new global time-domain electromagnetic simulator of microwave circuits including lumped elements based on finite-element method

TL;DR: This paper proposes an extension of the Finite Element Time Domain (FETD) method for the global electromagnetic analysis of complex inhomogeneous microwave distributed circuits, containing linear or non linear lumped elements.
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Modeling of RF head exposure in children

TL;DR: The main parameters that should influence the specific absorption rate (SAR) in children's heads are analyzed and the evolution of their head shape and the growth of specific parameters, such as the skull thickness, are analyzed.
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Variability on the Propagation of a Plane Wave Using Stochastic Collocation Methods in a Bio Electromagnetic Application

TL;DR: In this paper, the uncertainties on the angles of propagation of a plane wave in a bio electromagnetic application are studied using two non-intrusive stochastic collocation methods, which can be used when applying other kinds of methods without modifying programs.