Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
In this paper, we address one of the Wireless Sensor Network (WSN) management problems – optimization on the execution of multiple commands. The objective of the paper is to pro...
We propose a parallel algorithm for dynamic slicing of distributed Java programs. Given a distributed Java program, we first construct an intermediate representation in the form o...
Abstract. DDH extends the idea of dynamic hashing algorithms to distributed systems. DDH spreads data across multiple servers in a network using a novel autonomous location discove...
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...