Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
The dynamic behavior of a network in which information is changing continuously over time requires robust and efficient mechanisms for keeping nodes updated about new information. ...
Abstract-- We consider the Top-k Approximate Subtree Matching (TASM) problem: finding the k best matches of a small query tree, e.g., a DBLP article with 15 nodes, in a large docum...
Nikolaus Augsten, Denilson Barbosa, Michael H. B&o...
A distributed sensor network (DSN) designed to cover a given region R, is said to be alive if there is at least one subset of sensors that can collectively cover (sense) the regio...
Sridhar Dasika, Sarma B. K. Vrudhula, Kaviraj Chop...
In this paper, we explore a hybrid global/local search optimization framework for dynamic voltage scaling in embedded multiprocessor systems. The problem is to find, for a multipr...