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Mobility analyzer: A framework for analysis and recognition of mobility traces in mobile Ad-Hoc networks
, Article 3rd International Conference on New Technologies, Mobility and Security, 20 December 2009 through 23 December 2009 ; 2009 ; 9781424462735 (ISBN) ; Hemmatyar, A. M. A ; Rabiee, H. R ; Mousavi, S. M ; Khaledi, M. H ; Sharif University of Technology
Abstract
Mobility is one of the most challenging issues in mobile Ad-Hoc networks which has a significant impact on performance of network protocols. To cope with this issue, the protocol designers should be able to analyze the movement of mobile nodes in a particular wireless network. In this paper, a new framework called Mobility Analyzer has been introduced for analysis and recognition of mobility traces. At first, the Mobility Analyzer acquires some mobility traces collected by GPS or generated with mobility simulators; then it calculates some mobility metrics which represent the movement behavior of the mobile nodes; finally it attempts to classify mobility traces into particular mobility models...
Muscles force patterns prediction and joint reactions determination during 3D spine movements by means of optimal control theory
, Article 2008 International Conference on Control, Automation and Systems, ICCAS 2008, Seoul, 14 October 2008 through 17 October 2008 ; December , 2008 , Pages 548-553 ; 9788995003893 (ISBN) ; Pourtakdoust, H ; Vossoughi, G. R ; Kim, J. Y ; Parnianpour, M ; Sharif University of Technology
2008
Abstract
Modeling the spine behavior plays a key role in understanding mechanisms leading to spinal disorders and injuries. The goal of this article is to develop a new model to obtain 3D spine movement patterns. High degrees of freedom of the system, a great many of muscles involved in the spine movements and its unstable intrinsic behavior make the control problem more difficult. New theories in computational motor control suggest optimal control as a useful tool for modeling Central Nervous System (CNS) to provide appropriate control signals while it computes the neural interactions with biological sensors. Therefore, CNS is modeled as an optimal controller. Our simulations illustrate the movement...