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IROS
2007
IEEE
93views Robotics» more  IROS 2007»
14 years 3 months ago
Computational sensor networks
— We propose Computational Sensor Networks as a methodology to exploit models of physical phenomena in order to better understand the structure of the sensor network. To do so, i...
Thomas C. Henderson, Christopher A. Sikorski, Edwa...
ICNC
2005
Springer
14 years 2 months ago
Modeling Human Learning as Context Dependent Knowledge Utility Optimization
Abstract. Humans have the ability to flexibly adjust their information processing strategy according to situational characteristics. However, such ability has been largely overloo...
Toshihiko Matsuka
ACRI
2004
Springer
14 years 2 months ago
Block Encryption Using Reversible Cellular Automata
Cellular automata (CA) are highly parallel and discrete dynamical systems, whose behavior is completely specified in terms of a local relation. They were successfully applied for s...
Marcin Seredynski, Pascal Bouvry
MMB
2010
Springer
185views Communications» more  MMB 2010»
13 years 11 months ago
Reducing the Cost of Generating APH-Distributed Random Numbers
Phase-type (PH) distributions are proven to be very powerful tools in modelling and analysis of a wide range of phenomena in computer systems. The use of these distributions in sim...
Philipp Reinecke, Miklós Telek, Katinka Wol...
BIOSYSTEMS
2008
102views more  BIOSYSTEMS 2008»
13 years 8 months ago
A computational model for telomere-dependent cell-replicative aging
Telomere shortening provides a molecular basis for the Hayflick limit. Recent data suggest that telomere shortening also influence mitotic rate. We propose a stochastic growth mod...
R. D. Portugal, M. G. P. Land, Benar Fux Svaiter