We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
—In this paper, we develop a joint Network Coding (NC)-channel coding error-resilient sensor-network approach that performs In-Network Processing based on channel code Design (IN...
Abstract— This paper describes the design of a robot head, developed in the framework of the RobotCub project. This project goals consists on the design and construction of a hum...
Component-based architectures are the traditional approach cile application specific optimization with reusable abstractions in sensor networks. However, they frequently overwhelm ...
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learnin...
Lucia Terrenghi, Matthias Kranz, Paul Holleis, Alb...