Claudia C. Gutiérrez Rodríguez

Managing Sensor Data Uncertainty: A Data Quality Approach

With an increasingly technological improvement, sensors infrastructure actually supports many current and promising environmental applications. Environmental Monitoring Systems built on such sensors removes geographical, temporal and other restraints while increasing both the coverage and the quality of real world understanding. However, a main issue for such applications is the uncertainty of data coming from sensors, which may impact experts’ decisions. In this paper, the authors address this problem with an approach dedicated to provide environmental monitoring applications and users with data quality information.

Semantic annotation: what about quality?

This paper outlines an ongoing research focused on the quality analysis of semantic annotation towards better Web Services management. Considering the properties of the annotation process and result, we provide an overview of the main issues related to the semantic annotation of Web Services and our first clues to tackle this relevant issue.

Evaluating scalable matching tools: A quality-oriented approach

Actually, the evaluation of matching tools is an entire, complex and complicated research subject which we are interested in. Complex because matching systems can regroup several matching techniques and complicated considering their multiple users. Considering quality as an important element to define, use and evolve particular systems (as information and manufacturing systems), we extend traditional approaches and we propose an evaluation approach based on software product quality principles. In this paper, we offer an evaluation method based on a quality model (characteristics, sub-characteristics, measures...) adapted to the specificities of scalable matching tools. To illustrate our approach, we provide some evaluation results over two scalable matching tools COMA++ and PLASMA.

Gestion de masses de données temps réel au sein de bases de données capteurs

Les systemes a base de capteurs sont de plus en plus frequemment utilises pour de nombreuses applications comme la gestion de flottes de vehicules, la surveillance de trafic ou encore la surveillance de phenomenes environnementaux et urbains. Les donnees acquises par ces capteurs sont localisees et datees. Elles sont employees dans des applications de nature diverse gerant de grandes masses de donnees spatio-temporelles en temps reel et differe selon les besoins. L’objectif de cet article est de presenter la problematique, et de fournir quelques elements de reponse aux problemes scientifiques identifies. Apres la presentation d’applications pertinentes et exploitables, une liste des verrous scientifiques est exposee. Des elements de reponse sont ensuite detailles. Ces reflexions et travaux sont issus de membres des equipes de recherche collaborant au sein de l’axe « Reactivite, Mobilite et Temps Reel » et du GT « Services Localises » du GDR 2340 Sigma.

Switching from Traditional Medical Applications to Mobile Devices: Cardiac and Cochlear Implants

Designing HCI in a medical context is not trivial. It needs to provide patients and medical experts with essential information for the tasks to be performed while ensuring the safety of operations. In this paper, we tackle this issue focused on the HCI requirements and expectations revealed by the use of mobile devices (Smartphone for patients/Tablet for specialists) on the assistance of cochlear or cardiac implanted patients. To illustrate the feasibility of our research work, we report several experiments and evaluations attempting to guarantee the safety of operations on adjusting cochlear implants and supporting the monitoring of patients with cardiac implants. This work is carried out as part of an academic and industrial research project.