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» A Methodology for Automatic Diagnosability Analysis
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ICALT
2010
IEEE
13 years 3 months ago
Modelling Affect in Learning Environments - Motivation and Methods
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...
Shazia Afzal, Peter Robinson
ITC
2003
IEEE
126views Hardware» more  ITC 2003»
13 years 10 months ago
Diagnosis-Based Post-Silicon Timing Validation Using Statistical Tools and Methodologies
This paper describes a new post-silicon validation problem for diagnosing systematic timing errors. We illustrate the differences between timing validation and the traditional log...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, T. M....
EAAI
2010
91views more  EAAI 2010»
13 years 5 months ago
A framework for on-line trend extraction and fault diagnosis
: Qualitative trend analysis (QTA) is a process-history-based data-driven technique that works by extracting important features (trends) from the measured signals and evaluating th...
Mano Ram Maurya, Praveen K. Paritosh, Raghunathan ...
FPL
2007
Springer
120views Hardware» more  FPL 2007»
13 years 11 months ago
Design Methodology and Trade-offs Analysis for Parameterized Dynamically Reconfigurable Processor Arrays
In this paper, we propose a Dynamically Reconfigurable Processor Array (DRPA) generator which can generate various types of DRPAs. Our target DRPA architecture is fully parameter...
Yohei Hasegawa, Hideharu Amano
DATE
2000
IEEE
108views Hardware» more  DATE 2000»
13 years 10 months ago
Automatic Abstraction for Worst-Case Analysis of Discrete Systems
c Abstraction for Worst-Case Analysis of Discrete Systems Felice Balarin Cadence Berkeley Laboratories Recently, a methodology for worst-case analysis of discrete systems has been...
Felice Balarin