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» Variability in Automation System Models
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ECBS
2007
IEEE
155views Hardware» more  ECBS 2007»
15 years 10 months ago
Evaluating the Quality of Models Extracted from Embedded Real-Time Software
Due to the high cost of modeling, model-based techniques are yet to make their impact in the embedded systems industry, which still persist on maintaining code-oriented legacy sys...
Joel Huselius, Johan Kraft, Hans Hansson, Sasikuma...
IPSN
2004
Springer
16 years 1 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ICCBR
2001
Springer
15 years 11 months ago
Meta-case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
J. William Murdock, Ashok K. Goel
TMI
2002
248views more  TMI 2002»
15 years 6 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
SIGMOD
2006
ACM
123views Database» more  SIGMOD 2006»
16 years 6 months ago
Proactive identification of performance problems
We propose to demonstrate Fa, an automated tool for timely and accurate prediction of Service-Level-Agreement (SLA) violations caused by performance problems in database systems. ...
Songyun Duan, Shivnath Babu