Συντάχθηκε 20-04-2011 11:55
από Agapi Karakatsani
Email συντάκτη: akarakatsani<στο>tuc.gr
Ενημερώθηκε:
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Ιδιότητα: σύνταξη/αποχώρηση υπάλληλος.
ΠΑΡΟΥΣΙΑΣΗ ΜΕΤΑΠΤΥΧΙΑΚΗΣ ΕΡΓΑΣΙΑΣ
ΕΥΣΤΑΘΙΟΥ ΔΙΟΝΥΣΙΟΣ
με θέμα
“On Runtime Environments for Reconfigurable Logic:
A Dynamically Reconfigurable Architecture for Adaptive Environmental Monitoring”
Τετάρτη 20 Απριλίου 2011, 12:00μμ
Αίθουσα 145.Π42,
Κτίριο Επιστημών, Πολυτεχνειούπολη
Εξεταστική Επιτροπή
Καθ. Απόστολος Δόλλας (επιβλέπων)
Καθ. Κωνσταντίνος Καλαϊτζάκης
Καθ. Διονύσιος Πνευματικάτος
Περίληψη
The technology of environmental monitoring systems is becoming a mature research field. The need to monitor and understand complex environmental phenomena and biochemical processes that take place in various temporal and spatial domains cannot be addressed simply by deploying (spreading) tens of data logging nodes in the area of interest. The complexity of these environmental systems originates from their nonlinear dynamics, scale-dependent behavior and heterogeneity of the interacting processes.
Given the physical reality of many environmental applications, especially the size and expense of sensors and their cost, we are now seeing a movement toward networks that are comparatively lower in population and density but much smarter. The transformation of an Environmental Monitoring System (EMS) from an elaborate logging system to an intelligent adaptive platform that adjusts its sampling and processing features in the context of evolving data acquisition would revolutionize our understanding of the monitored environment.
Within this context, this work presents an adaptive reconfigurable platform for environmental monitoring. It is based upon the close coupling of an 8-bit microcontroller and an FPGA acting as a co-processor. The key concept of the proposed system is that the extra processing power provided by the reconfigurable hardware is accessed on demand. Reserving processing resources for the extreme conditions such as flood events can be extremely helpful in the process of monitoring and understanding complex environmental phenomena while at the same time preserving the system’s energy efficiency.
