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ACSD
2004
IEEE
124views Hardware» more  ACSD 2004»
15 years 3 months ago
A Behavioral Type Inference System for Compositional System-on-Chip Design
The design productivity gap has been recognized by the semiconductor industry as one of the major threats to the continued growth of system-on-chips and embedded systems. Ad-hoc s...
Jean-Pierre Talpin, David Berner, Sandeep K. Shukl...
TPDS
2008
196views more  TPDS 2008»
14 years 11 months ago
End-to-End Energy Management in Networked Real-Time Embedded Systems
Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communi...
G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengd...
ISCAS
1999
IEEE
87views Hardware» more  ISCAS 1999»
15 years 4 months ago
Instruction level power model of microcontrollers
In the design of low power systems, it is important to analyze and optimize both the hardware and the software component of the system. To evaluate the software component of the s...
C. Chakrabarti, D. Gaitonde
ACL
2012
13 years 2 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
ISI
2006
Springer
14 years 11 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...