This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
—This paper presents a semiautomatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology p...
This paper presents a new approach to identifying concepts expressed in a collection of email messages, and organizing them into an ontology or taxonomy for browsing. It incorpora...
This paper proposes a novel concept of intelligent navigator that can give the driver timely advice on safe and efficient driving. From both the current traffic condition obtained ...
Abstract-- This paper discusses topological geometrical aspects and a control strategy for a distributed port-Hamiltonian system with a non-integrable structure called a distribute...