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Showing 3 results for Azvar
Volume 8, Issue 1 (1-2019)
Abstract
In the present study, which is based on the material collected from Southern part of Caspian Sea, Iran during 2013- 2016, one parasitoid species of the genus Coccobius Ratzeburg was identified as Coccobius pistacicolus (Yasnosh, 1968) (Hym: Aphelinidae). This species, which is reported for the first time from Iran, was collected in Rasht, Guilan province, and reared from Lepidosaphes pallida (Maskell) (Hem.: Diaspididae) on Ficus carica (Moraceae). Diagnostic characters of C. pistacicolus are provided.
Volume 8, Issue 3 (Summer 2020)
Abstract
Aims: Due to the terrible effects of 2019 novel coronavirus (COVID-19) on health systems and the global economy, the necessity to study future trends of the virus outbreaks around the world is seriously felt. Since geographical mobility is a risk factor of the disease, it has spread to most of the countries recently. It, therefore, necessitates to design a decision support model to 1) identify the spread pattern of coronavirus and, 2) provide reliable information for the detection of future trends of the virus outbreaks.
Materials & Methods: The present study adopts a computational intelligence approach to detect the possible trends in the spread of 2019-nCoV in China for a one-month period. Then, a validated model for detecting future trends in the spread of the virus in France is proposed. It uses ANN (Artificial Neural Network) and a combination of ANN and GA (Genetic Algorithm), PSO (Particle Swarm Optimization), and ICA (Imperialist Competitive Algorithm) as predictive models.
Findings: The models work on the basis of data released from the past and the present days from WHO (World Health Organization). By comparing four proposed models, ANN and GA-ANN achieve a high degree of accuracy in terms of performance indicators.
Conclusion: The models proposed in the present study can be used as decision support tools for managing and controlling of 2019-nCoV outbreaks.
Hassan Biglari, Milad Azvar,
Volume 14, Issue 2 (5-2014)
Abstract
In this paper, dynamic analysis of simply-supported composite sandwich beam under a moving mass including rotary inertia and transverse shear deformation are investigated. Governing equations are gained using Hamilton's principal. Modal superposition method used to deriving ordinary differential equation of motion in matrix form. Fourth order Runge-Kutta method applied to solving the ODE with time varying coefficients. Parametric studies such as effects of stacking, aspect ratio, core thickness and stiffness, mass and speed of moving load on the midpoint deflection, dynamic magnification factor and critical speed have been studied. The obtained results show that core thickness and stiffness have considerable effects on critical speed. Inertia of moving mass has distinct effects on dynamic response of beam depend on load velocity.
