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JIRS
2008
100views more  JIRS 2008»
13 years 7 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
ICIP
2008
IEEE
14 years 9 months ago
Coding-gain-based complexity control for H.264 video encoder
The allowable computational complexity of video encoding is limited in a power-constrained system. Different video frames are associated with different motions and contexts, and s...
Ming-Chen Chien, Zong-Yi Chen, Pao-Chi Chang
KBSE
1998
IEEE
13 years 12 months ago
Automated Software Test Data Generation for Complex Programs
We report on GADGET, a new software test generation system that uses combinatorial optimization to obtain condition/decision coverage of C/C++ programs. The GADGET system is fully...
Christoph C. Michael, Gary McGraw
WAC
2005
Springer
137views Communications» more  WAC 2005»
14 years 1 months ago
Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience
Abstract. The Internet is facing ever-increasing complexity in the construction, configuration and management of heterogeneous networks. New communication paradigms are underminin...
Xiaoyuan Gu, Xiaoming Fu, Hannes Tschofenig, Lars ...
IWINAC
2009
Springer
14 years 2 months ago
Brain Complexity: Analysis, Models and Limits of Understanding
Manifold initiatives try to utilize the operational principles of organisms and brains to develop alternative, biologically inspired computing paradigms. This paper reviews key fea...
Andreas Schierwagen