No abstract

No abstract

Abstract-The introduction of sustainability skills into higher education curricula is a natural effect of the increasing importance of sustainability in our daily lives. Topics like green computing, sustainable design or environmental engineering have become part of the knowledge required by today's engineers. Furthermore, we strongly believe that the introduction of this skill will eventually enable future engineers to develop sustainable products, services and projects. The Final Year Project is the last academic stage facing students and a step towards their future professional engineering projects. As such, it constitutes a rehearsal for their professional future and an ideal opportunity for reflecting on whether their Final Year Project is sustainable or not, and to what extent. It also provides a good tool for reviewing the lessons learned about sustainability during the degree course and for applying them in a holistic and integrated way. In this paper, we present a guide that allows both students and advisors to think carefully about the sustainability of engineering projects, in particular the Final Year Project.

Research focus: the focus of this research is in the definition of programmable expert personal health systems to monitor patients affected by chronic diseases using agent oriented programming and mobile computing to represent the interaction happening amongst the components of the system. The paper also discusses issues of knowledge representation within the medical domain when dealing with temporal patterns concerning the physiological values of the patient.Research method: We evaluate the presented agent based PHS against its scalability, by comparing it with a centralized approach and then we also use the data of 21 diabetic patients to evaluate the accuracy of a set of dynamic monitoring rules defined.Results: The evaluation concerning the scalability of the system illustrates the fact that a centralized approach towards monitoring chronic illnesses is not scalable and an approach making use of mobile computing and agents experts is more likely to satisfy the needs of next generation PHSs. The evaluation also highlights the advantages of having dynamic rules to monitor patients, evaluating the precision of three of such rules. Conclusions: PHSs are becoming an adopted technology to deal with the surge of patients affected by chronic illnesses. In this paper we discussed architectural choices to make an agent based PHS more scalable by using a distributed mobile computing approach. We also discussed how to model the medical knowledge in the PHS in such a way that this is modifiable at run time. The evaluation highlights the necessity of distributing the reasoning to the mobile part of the system and the necessity to define modifiable rules to be able to deal with the change in lifestyle of the patients affected by chronic illnesses.

No abstract