This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
While it is possible to accurately predict the execution time of a given iteration of an adaptive application, it is not generally possible to predict the data-dependent adaptive ...
The elastic task model proposed by Buttazzo, et. al. [9] is a powerful model for adapting real-time systems in the presence of uncertainty. This paper generalizes the existing ela...
Thidapat Chantem, Xiaobo Sharon Hu, Michael D. Lem...
—Advancements in robotics have gained much momentum in recent years. Industrial robotic systems are increasingly being used outside the factory floor, evident by the growing pres...
Traditional studies of routing problems often assumed strict preferences on paths, by eliminating ambiguity in path comparisons, or imposing a priori deterministic tie-breaking. S...