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Amir R. Askari,Masoud Tahani 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.5
This paper presents an analytical and size-dependent model for vibrational analysis of fully clamped rectangular microplates. Modifiedcouple stress theory (MCST) and the Kirchhoff plate model are considered, and Hamilton’s principle is employed to derive the sizedependentequation of motion that accounts for the effect of residual stresses. The natural frequencies of the microplate are extractedanalytically by extended Kantorovich method. The present findings are validated with the available results in the literature, and an excellentagreement is observed between them. In addition, a parametric study is conducted to demonstrate the significant effects of couplestress components on the natural frequencies of fully clamped microplates. The ratio of MCST natural frequencies to those obtained withclassical theory depends only on the Poisson’s ratio of the plate and is independent of the aspect ratio of the plate for cases with no residualstresses.
Vishkaei, Behzad Maleki,Mahdavi, Iraj,Mahdavi-Amiri, Nezam,Askari, Masoud Korea Data Strategy Society 2016 Journal of information technology applications & m Vol.23 No.3
In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization's current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.
Behzad Maleki Vishkaei,Iraj Mahdavi,Nezam Mahdavi-Amiri,Masoud Askari 한국정보기술응용학회 2016 Journal of information technology applications & m Vol.23 No.3
In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization’s current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.