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» State machine models of timing and circuit design
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 2 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
OOPSLA
2004
Springer
15 years 3 months ago
Modeling event driven applications with a specification language (MEDASL)
Radio Frequency Identification (RFID) technology provides the means to track any object, any time, anywhere with Electronic Product Codes (EPC). A major consequence of this techno...
Murali Kaundinya, Ali Syed
SIMVIS
2003
14 years 11 months ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton
CODES
2000
IEEE
15 years 2 months ago
Frequency interleaving as a codesign scheduling paradigm
Frequency interleaving is introduced as a means of conceptualizing and co-scheduling hardware and software behaviors so that software models with conceptually unbounded state and ...
JoAnn M. Paul, Simon N. Peffers, Donald E. Thomas
FCCM
2006
IEEE
133views VLSI» more  FCCM 2006»
15 years 3 months ago
A Scalable FPGA-based Multiprocessor
It has been shown that a small number of FPGAs can significantly accelerate certain computing tasks by up to two or three orders of magnitude. However, particularly intensive lar...
Arun Patel, Christopher A. Madill, Manuel Salda&nt...