* Invited and Regular Papers will be published in various Indexed Journals (ISI, SCOPUS, EBSCO, DBLP, ACM, IET/INSPEC, Proquest, Copernicus etc...) based on quality and reviewers' recommendations or in our Books in Springer Verlag. Click here
* Authors will be informed about the title of the Journal before
their registration.
* Contact us by email:
support@inase.org Registration fees
Publication Ethics and Malpractice Statement
Deadlines
(Previous Conference: MMMAS 2015, Agios Nikolaos, Crete, Greece, October 17-19, 2015)
PLENARY SPEAKERS:
Prof. Yuli D Chashechkin Laboratory of Fluid Mechanics A.Yu. Ishlinskiy Institute for Problems in Mechanics of the RAS 101/1 prospect Vernadskogo, Moscow, 119526 RUSSIAN FEDERATION, e-mail: yulidch@gmail.com
Title: "Dynamics and Fine Structure of Flows: Observation, Laboratory modelling and Calculation"
Abstract: Forced and convective flows in natural and industrial conditions are characterized by variable fine structure, which reflects the specifics of the processes and significantly affects their dynamics and energetics (examples flows of different scales are presented). The goal of talk is to introduce a new approach and give examples directed to improve compatibility of theoretical and experimental investigations of fluid flows.To describe flow dynamics and structure the fundamental set including equations of continuity, transport of momentum, energy and substances with physically based boundary conditions selected. Flows of four types of fluids including strong and weakly stratified as well as potentially and actually homogeneous ones were used to compare effects of stratification. Classification of components based on linearized model is given. Both large scale (internal waves, wake and vortices) and fine flow components where calculated and visualized. Flow structure and dynamics around obstacles moving with permanent velocity were studied in a wide range of flow parameters including the diffusion induced flow on a motionless body and transient vortex regimes. Development of further mathematical and laboratory research and transfer of their results on natural and industrial conditions are discussed.
Prof. K.M. Liew Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong, China, e-mail: kmliew@cityu.edu.hk
Title: "Nanomechanics Modeling and its Applications"
Abstract: This talk will focus on computational modeling of composites through nanomechanics. Carbon nanotubes (CNTs) have found to possess high strength and stiffness as well as high aspect ratio and low density, making them a strong candidate for the reinforcement in polymer composites. Existing research has reported that the mechanical and physical properties of CNTs are superior to those of carbon fibers. Therefore, in recent years, CNTs have been used for the reinforcement in composite, forming the CNT-reinforced composite. This CNT-reinforced composite can be used in the form of beam, plate or shell structural component. With the increasing research works devoted to this topic, it will be important to know the current trends and challenges of nanocomposite materials.
Prof. Milan Tuba Faculty of Computer Science John Naisbitt University, Belgrade, Serbia, e-mail: tuba@ieee.org
Title: "Wireless Sensor Networks Problems Optimization by Swarm Intelligence Algorithms"
Abstract: Wireless sensor networks (WSN) consist of large number of sensor nodes deployed in some area of interest. Each sensor node has capability of sensing and collecting from the environment data such as vibration, temperature, pressure, sound etc. and also has limited capability for processing and communication. In the past decade problems about wireless sensor networks represent an active research area because of the WSN wide usage in different areas such as target tracking, environment monitoring, underwater monitoring, military applications, medical applications, etc. Wireless sensor networks introduce number of hard optimization problems including node localization and coverage. Information that sensor nodes collect and send is usually meaningless without position information of the node. However, localization of all sensor nodes is a hard optimization problem that usually involves few static or mobile anchor nodes with GPS devices, some ranging technique and variant of triangulation algorithm which has to consider imprecise ranging. Additionally, nodes can have some ability to move to new positions that will ensure best coverage according to some criteria. Such hard optimization problems are successfully tackled by swarm intelligence optimization algorithms. In this plenary lecture some successful applications of recent swarm intelligence algorithms to variants of node localization and coverage problems in the wireless sensor networks will be presented.
Prof. Nataniel Greene, Department of Mathematics and Computer Science, Kingsborough Community College, City University of New York, USA, e-mail: ngreene.math@gmail.com
Title: "Generalized Mean Regression "
Abstract: Ordinary least-squares regression in multiple variables suffers from a fundamental lack of symmetry: it minimizes the distance between the data and the regression hyperplane in the dependent variable alone. To predict the value of another variable one must perform a new regression treating the other variable of interest as the dependent variable. One cannot simply solve the previously obtained regression equation for the variable of interest.
A theory of generalized least-squares regression was developed by this author to overcome this problem, by minimizing the average generalized mean of the square deviations between the data and the hyperplane in all the variables simultaneously. Multivariate generalized least-squares regression includes orthogonal regression and geometric mean regression, as well as standard ordinary least squares regression as special cases. Numerical examples have shown that generalized least-squares regressions can uncover an underlying linear model from data sets in situations where ordinary least-squares fails.
This talk reviews previous the work and presents new results.
Prof. Marina V. Shitikova (co-author: Prof. Yury A. Rossikhin), Voronezh State Technical University, RUSSIAN FEDERATION, e-mail: shitikova@vmail.ru
Title: "Fractional Calculus Viscoelastic Models Considering Shear and Bulk Relaxation of Materials"
Abstract: The comparative analysis of the fractional calculus models with and without considering bulk relaxation of materials is presented. As this takes place, the emphasis is made to the study of the time-dependence of the Poisson’s ratios, since these relationships describe the peculiarities of such materials. The simplest fractional derivative models, namely: the Kelvin-Voigt model and standard linear solid model - are investigated for the cases when either both Lame operators or shear and bulk operators are preassigned.