Juan Antonio Álvarez

Smart Environment Software Reference Architecture

Nowadays ubiquitous computing is spreading to all scopes of our lives. Smart environments are present at every location such us homes with automation and control devices, offices full of control networks to assist workers, or hotels with even more control devices in order to save energy and satisfy guests preferences.This paper focus on the proposal of a Reference Architecture for developing Smart Applications and deploy them in Smart Environments. The proposal consider three main process in the Software Architecture of these applications:a) perception, b) reasoning and c) acting.

Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments

As a result of the increment of population in countries of Europe, a lot of efforts from European Authorities are coming from. In our research we want to bring forward a suite of developments related to build a ubiquitous AAL (Ambient Assisted Living) environment. We consider that recent approaches are based on ad-hoc technologies so its application is in this context isolated just in one domain of application. Our approach addresses to a reliable services platform for heterogeneous devices integration. On this basis we want to consider as well, the underlying benefits that a Service-oriented platform is giving to us in our Ambient Assisted Living Applications.

A Novel Approach to Trojan Horse Detection in Mobile Phones Messaging and Bluetooth Services

A method to detect Trojan horses in messaging and Bluetooth in mobile phones by means of monitoring the events produced by the infections is presented in this paper. The structure of the detection approach is split into two modules: the first is the Monitoring module which controls connection requests and sent/received files, and the second is the Graphical User module which shows messages and, under suspicious situations, reports the user about a possible malware. Prototypes have been implemented on different mobile operating systems to test its feasibility on real cellphone malware. Experimental results are shown to be promising since this approach effectively detects various known malware.

A Home E-Health System for Dependent People Based on OSGI

This chapter presents a e-health system for dependent people installed in a home environment. After reviewing the state of art in e-health applications and technologies several limitations have been detected because many solutions are proprietary and lack interoperability. The developed home e-health system provides an architecture capable to integrate different telecare services in a smart home gateway hardware independent from the application layer. We propose a rule system to define users– behavior and monitor relevant events. Two example systems have been implemented to monitor patients. A data model for the e-health platform is described as well.

Combining Smart Tags and Body Fixed Sensors for Disabled People Assistance

The world population is rapidly aging in industrialized countries and at a growing rate. As well as the percentage of elderly people is constantly increasing, so related health costs are augmenting, demanding novel technological solutions that both, enhance elder daily life independence and reduce the social and economic overhead of their hospitalization. The general framework of the presented work is about technological platforms for helping elder and handicapped people in a non-intrusive manner. The research in human motion monitoring, having in mind the particular objective of fall prevention, and the use of RFID technology combined with text to speech techniques are merged on a general purpose assistive platform able to help all kind of people, including those who has not impairment but are seeking to improve their quality of live.

An orientation service for dependent people based on an open service architecture

This article describes a service architecture for ambient assisted living and in particular an orientation navigation service in open places for persons with memory problems such as those patients suffering from Alzheimers in its early stages. The service has the following characteristics: one-day system autonomy; self-adjusting interfaces for simple interaction with patients, based on behavioural patterns to predict routes and destinations and to detect lost situations; easy browsing through simple spoken commands and use of photographs for reorientation, and independence of GISs (Geographic Information Systems) to reduce costs and increase accessibility. Initial testing results of the destination prediction algorithm are very positive. This system is integrated in a global e-health/e-care home service architecture platform (OSGi) that enables remote management of services and devices and seamless integration with other home service domains.

Smart Environment Vectorization

The automation of smart environment systems is one of the main goals of smart home researching. This paper focus on learning user lighting preference, considering a working field like a standard office. A review of the smart environment and devices setup is done, showing a real configuration for test purposes. Suitable learning machine techniques are exposed in order to learn these preferences, and suggest the actions the smart environment should execute to satisfy the user preferences. Learning machine techniques proposed are fed with a database, so a proposal for the vectorization of data is described and analyzed.

Event-Based Method for Detecting Trojan Horses in Mobile Devices

Mobile phones and wireless technology and its constant evolution have, in the last years, revolutionized the way in which we communicate and work. However, one of the main barriers encounter in the use of these technologies is data security. Trojan horses are dangerous software to attack phones, PDAs and Smartphones. New versions are created everyday to attack the functionality, theft the stored information and propagate themselves. In this paper, we present a new real-time method to detect Trojan horses in mobile devices. We study the events in the device to detect programs which can be suspected to be Trojan horses. By doing so, we can detect not only the known Trojan horses with more accuracy, but also detect new trojans. Practical experiences on different devices have been carried out and results show the effectiveness of the method.

Delivery Improvement for Transport Companies

In this paper we propose a solution that improves the synchronization and effectiveness of sending and receiving of goods and merchandise by transport companies. We use a service-oriented architecture for the exchange of information related to the reception of products, such as the predicted time when the delivery should take place or the delay in the arrival. Our solution is based on fleet management systems widely used in the transport companies. The main objective of this paper is to improve the interoperability between providers and consumers, thereby creating a communication environment versed in delivery plans. Another feature revised here is the analysis of vehicle tracking information to obtain accurate knowledge of the movement pattern followed by drivers and usefulness for the companies.