Heudiasyc

Seminar presented by Ahmed E. KAMAL

Laurie — 2012-06-21T07:52:47Z

Seminar presented by Ahmed E. KAMAL

Date : 2012/07/03 / Time : 02.00 pm
Location : Amphi Bessel, Centre de Recherches de Royallieu, BP 20529 - 60205 Compiegne Cedex

Ahmed E. Kamal received a B.Sc. (distinction with honors) and an M.Sc. both from Cairo University, Egypt, and an M.A.Sc. and a Ph.D. both from the University of Toronto, Canada, all in Electrical Engineering. He is currently a professor of Electrical and Computer Engineering at Iowa State University. His research interests include optical networks, fault tolerance wireless sensor networks, cognitive radio networks, and performance evaluation. He is a Fellow of the IEEE, a senior member of the Association of Computing Machinery, and a registered professional engineer.

More information about Ahmed Kamal and his publications can be found on his web site :
http://www.ece.iastate.edu/ kamal

Title :
Efficient Multicasting in Cognitive Radio Networks using Cooperation and Channel Diversity

Abstract :

Cognitive radio networks (CRNs) have emerged as a promising, yet challenging, solution to enhance spectrum utilization, thanks to the technology of software defined radios. A well-known property of CRNs is the potential heterogeneity in channel availability among secondary users. Multicast throughput in CRNs may suffer from significant degradation because of this property, as it may force a source to transmit the multicast data over multiple channels to guarantee delivery to all neighboring receivers. In this presentation, we propose an assistance strategy to reduce the effect of the channel heterogeneity property on the multicast throughput in cognitive radio wireless mesh networks (CR-WMNs). This assistance strategy is composed of two main activities, first, allowing multicast receivers to assist the source in delivering the data, and second, allowing the transmission of network coded packets so that multicast receivers belonging to different multicast groups can decode and extract their data concurrently. We present optimal, and heuristic packet transmission scheduling strategies which implement the proposed assistance strategies. Performance results show that the proposed assistance paradigm achieves a considerable reduction in the total multicast time, which in turn increases the system throughput.

Post doctoral recruitment

Laurie — 2012-06-19T08:48:00Z

Distributed Algorithms and Theorie of Belief Functions : Click to read the ad - News / Recruitment

Seminar presented by Francisco CHINESTA on 2012/06/08

Laurie — 2012-06-18T14:43:00Z

Find the pictures and the presentation of the seminar by Francisco Chinesta

Visiting Scholars recruitment

gmartine — 2012-06-13T06:17:00Z

Call managed by Y. Grandvalet.

Click to read the ad

Seminar presented by Ahmed E. KAMAL ,Prof. in the Department of Electrical & Computer Engineering, Iowa State University, USA

Laurie — 2012-06-10T07:52:00Z

Date : 2012/07/03
Time : 02.00 pm
Location : Amphi Bessel, Centre de Recherches de Royallieu
Title : Efficient Multicasting in Cognitive Radio Networks using Cooperation and Channel Diversity

Working Group axis 3

Laurie — 2012-06-04T09:41:00Z

2012/06/14
Dominique Lenne
Knowledge modeling and human activity in hazardous environments.

Seminar presented by Francisco CHINESTA , Professor at the Ecole Centrale de Nantes and head of the Materials and Manufacturing Processes of GeM (Research Institute of Civil Engineering and Mechanics, UMR CNRS - Ecole Centrale de Nantes - Nantes University)

Laurie — 2012-06-01T12:23:00Z

Date : 2012/06/08

Time : 10.00 am

Location : Amphi Bessel, Centre de Recherches de Royallieu
Title : Routes to advanced modeling and simulation of complex materials, processes and systems – Revolutionizing future Information and communication technologies.

The Labex MS2T in the French magazine "Innovation & Industrie"

Cécile Poncin — 2012-05-23T15:31:18Z

Read about the Labex MS2T in the Special Report "Investments in the Future" of the French magazine "Innovation & Industrie" published in May 2012.

Monthly magazine on professional information, "Innovation & Industrie" decrypts the R&D of large groups, SMEs and supports decision-makers and managers in monitoring and research of technological and industrial partners.

Click to read the article (french)

Seminar presented by Francisco CHINESTA

Laurie — 2012-05-23T11:45:24Z

Seminar presented by Francisco CHINESTA

Date : 2012/06/08 / Time : 10.00 am / Location : Amphi Bessel, Centre de Recherches de Royallieu

Francisco Chinesta is Professor at the Ecole Centrale de Nantes and head of the Materials and Manufacturing Processes of GeM (Research Institute of Civil Engineering and Mechanics, UMR CNRS - Ecole Centrale de Nantes - Nantes University).

Francisco Chinesta is Chair of the EADS Foundation, which aims to develop research projects in modeling and simulation of advanced manufacturing processes for composite structures for the aerospace industry and more generally to contribute to addressing the many technological challenges in these sectors.at the University of Cambridge (UK).

Title :
Routes to advanced modeling and simulation of complex materials, processes and systems – Revolutionizing future Information and communication technologies.

Abstract :

Today many problems in science and engineering remain intractable, in spite of the impressive progresses attained in mechanical modelling, numerical analysis, discretization techniques and computer science during the last decade, because their numerical complexity is simply unimaginable. We can distinguish different challenging scenarios :

• The first one concerns models that are defined in high dimensional spaces, usually encountered in quantum chemistry and kinetic theory descriptions of complex fluids. Model defined in high dimensional spaces suffer the so-called curse of dimensionality.

• The second problem category involves time-dependent problems not necessarily defined in high-dimensional spaces, but whose spectrum of characteristic times is so wide that standard incremental time discretization techniques cannot be applied.

• Real time simulators are needed in many applications, e.g. surgical simulators. Control, malfunctioning identification and reconfiguration of systems also need to run in real time.

• Problems of the fourth category are defined in degenerate geometrical domains, as plate or shell-like domains. Standard grid-based 3D discretization methods then quickly become impractical, in view of the compulsory discretization of the small length scales that yield extremely fine meshes.

• Many problems in process control, parametric modeling, inverse identification, and process or shape optimization, usually require, when approached with standard techniques, the direct computation of a very large number of solutions for particular values of the problem parameters.

• Traditionally, Simulation-based Engineering Sciences relied on the use of static data inputs to perform the simulations. A new paradigm emerged : Dynamic Data-Driven Application Systems (DDDAS) entails the ability to dynamically incorporate data into an executing application.

• Augmented reality is another area in which efficient (fast and accurate) simulation is urgently needed. The idea is supplying in real time appropriate information to the reality perceived by the user.

• Light computing platforms (tablets or smartphones) are appealing alternatives to heavy computing platforms that in general are expensive and whose use requires technical knowledge.

The main challenge is to address the modeling and simulation of “real” models encountered in science and engineering with all their complexity from the geometrical and constitutive points of view, some of them never until now solved because their computational complexity. These models should be solved very fast, in some cases in real time, by using light computing platforms. Classical simulation techniques fail to fulfill the above requirements. An appealing alternative consist of considering off-line solutions of parametric models, in which all the sources of variability – loads, boundary conditions, material parameters, geometrical parameters, etc. - will be considered as extra-coordinates. Thus, by solving only once the resulting multidimensional model, we have access to the solution of the model for any value of the parameters considered as extra-coordinates. Now, from this general solution computed only once and off-line we could perform on-line real time post-processing, optimization, inverse analysis, analysis of sensibilities, stochastic analysis … by using very light computing platforms as for example smartphones. We could also adapt the model on-line while its simulation is running within the framework of dynamic data-driven application systems – DDDAS. The price to be paid is the solution of parametric models defined in high dimensional spaces that could involve hundreds of coordinates. The use of the Proper Generalized Decomposition that we recently proposed and we are intensively developing, allows such solution, because thanks to the separated representation of the unknown fields the computational complexity scales linearly with the dimensionality, instead of growing exponentially which is characteristic of mesh-based discretization techniques. This off-line-on-line Proper Generalized Decomposition Based Dynamic Data-Driven Application Systems could constitute a new paradigm in computational sciences and engineering.

The Labex MS2T in the French magazine "Innovation & Industrie"

Cécile Poncin — 2012-05-23T08:22:00Z

Read about the Labex MS2T in the Special Report "Investments in the Future" of the French magazine "Innovation & Industrie" published in May 2012.

Click to read the article (french)