Large-scale sensor networks require mechanisms to extract topology information that can be used for various aspects of sensor network management. It is critical for any topology discovery algorithm in sensor networks to adhere to the resource constraints of bandwidth and energy. In this paper, we describe a distributed parameterized algorithm for Sensor Topology Extraction at Multiple Resolutio...

T h i s p a p e r p r e s e n t s some p r o g r a m m i n g f a c i l i t i e s f o r m o d e l i n g t h e s e m a n t i c s o f a t a s k doma in and f o r d e s c r i b i n g t h e s i t u a t i o n s t h a t o c c u r i n t h a t doma in a s a t a s k i s b e i n g c a r r i e d o u t . Each such d e s c r i p t i o n mode l s a " s t a t e " o f t he t a s k e n v i r o n m e n t , and an...

The present study was undertaken to investigate the beneficial effects of widely-prescribed lipid lowering drugs, pitavastatin, atorvastatin and simvastatin 3-hydroxy-3-methylglutaryl-coenzyme-A (HMG-CoA) reductase inhibitors in cognitive dysfunctions of mice. Intra-cerebroventricular (ICV)-Streptozocin-(STZ)- and high-fat diet (HFD)-induced amnesia served as interoceptive memory models where a...

The machine repair problem with spares and additional repairman is analyzed. The interfailure and repair times of the units are general identical and independently distributed. The failure and repair rates are assumed to be state dependent. Using diffusion approximation technique, we obtain the queue size distribution under steady state. The average number of failed units, average number of ope...

background several studies showed that dopamine and norepinephrine improve retention and retrieval of memory. methylphenidate is an enhancer of dopamine and norepinephrine in brain. objectives in the present study, the effect of methylphenidate was evaluated on retention and retrieval of memory in young and aged mice using passive avoidance apparatus. materials and methods animals were divided ...

We review our models of quantum associative memories that represent the “quantization” of fully coupled neural networks like the Hopfield model. The idea is to replace the classical irreversible attractor dynamics driven by an Ising model with pattern-dependent weights by the reversible rotation of an input quantum state onto an output quantum state consisting of a linear superposition with pro...

power electronic converters are non-linear time-dependent systems whose exact analysis without the use of computers is very difficult, and even using computer softwares requires a long time. use of the state space averaging method, as will be mentioned, in addition to simplifying the analysis procedure which is a result of converting a time-dependent system to a time-independent one, reduces th...