Monitoring and Detection Platform to Prevent Anomalous Situations in Home Care

Monitoring and tracking people at home usually requires high cost hardware installations, which implies they are not affordable in many situations. This study/paper proposes a monitoring and tracking system for people with medical problems. A virtual organization of agents based on the PANGEA platform, which allows the easy integration of different devices, was created for this study. In this case, a virtual organization was implemented to track and monitor patients carrying a Holter monitor. The system includes the hardware and software required to perform: ECG measurements, monitoring through accelerometers and WiFi networks. Furthermore, the use of interactive television can moderate interactivity with the user. The system makes it possible to merge the information and facilitates patient tracking efficiently with low cost

New platform for intelligent context-based distributed information fusion

Tesis por compendio de publicaciones[ES]Durante las últimas décadas, las redes de sensores se han vuelto cada vez más importantes y hoy en día están presentes en prácticamente todos los sectores de nuestra sociedad. Su gran capacidad para adquirir datos y actuar sobre el entorno, puede facilitar la construcción de sistemas sensibles al contexto, que permitan un análisis detallado y flexible de los procesos que ocurren y los servicios que se pueden proporcionar a los usuarios. Esta tesis doctoral se presenta en el formato de “Compendio de Artículos”, de tal forma que las principales características de la arquitectura multi-agente distribuida propuesta para facilitar la interconexión de redes de sensores se presentan en tres artículos bien diferenciados. Se ha planteado una arquitectura modular y ligera para dispositivos limitados computacionalmente, diseñando un mecanismo de comunicación flexible que permite la interacción entre diferentes agentes embebidos, desplegados en dispositivos de tamaño reducido. Se propone un nuevo modelo de agente embebido, como mecanismo de extensión para la plataforma PANGEA. Además, se diseña un nuevo modelo de organización virtual de agentes especializada en la fusión de información. De esta forma, los agentes inteligentes tienen en cuenta las características de las organizaciones existentes en el entorno a la hora de proporcionar servicios. El modelo de fusión de información presenta una arquitectura claramente diferenciada en 4 niveles, siendo capaz de obtener la información proporcionada por las redes de sensores (capas inferiores) para ser integrada con organizaciones virtuales de agentes (capas superiores). El filtrado de señales, minería de datos, sistemas de razonamiento basados en casos y otras técnicas de Inteligencia Artificial han sido aplicadas para la consecución exitosa de esta investigación. Una de las principales innovaciones que pretendo con mi estudio, es investigar acerca de nuevos mecanismos que permitan la adición dinámica de redes de sensores combinando diferentes tecnologías con el propósito final de exponer un conjunto de servicios de usuario de forma distribuida. En este sentido, se propondrá una arquitectura multiagente basada en organizaciones virtuales que gestione de forma autónoma la infraestructura subyacente constituida por el hardware y los diferentes sensores

Automatic UAVs path planning

My work at the University of Salamanca took place between 14th September 2017 and 1st December 2017. During these months, I have had the opportunity to work with the BISITE Research Group, attend different congresses held in Spain and learn new computer techniques related to artificial intelligence. The work has been focused on the development of software that implements algorithms for the control of UAVs (Unmanned Aerial Vehicles) autonomously. The algorithms are capable of guiding each UAV in such a way that they make an optimal route when travelling the area covered by a perimeter introduced by the user. As an important part of the algorithms, it is emphasized that when calculating changes of direction in the route, it is necessary to take into account the type of camera and its opening. This ensures that the captured images do not overlap or overlap with the minimum required to avoid spaces in 3D reconstruction software. As part of the work, the bibliography indicated in the References section has been used

Artificial Intelligence techniques for big data analysis

During my stay in Salamanca (Spain), I was fortunate enough to participate in the BISITE Research Group of the University of Salamanca. The University of Salamanca is the oldest university in Spain and in 2018 it celebrates its 8th centenary. As a computer science researcher, I participated in one of the many international projects that the research group has active, especially in big data analysis using Artificial Intelligence (AI) techniques. AI is one of BISITE's main lines of research, along with bioinformatics and robotics. In addition, they combine all these fields working with Internet of Things (IoT) in all its parts: sensors, communications, data analysis using Big Data techniques and visualization software with the latest technologies

A Real-Time Monitoring System of Industry Carbon Monoxide Based on Wireless Sensor Networks

Carbon monoxide (CO) burns or explodes at over-standard concentration. Hence, in this paper, a Wifi-based, real-time monitoring of a CO system is proposed for application in the construction industry, in which a sensor measuring node is designed by low-frequency modulation method to acquire CO concentration reliably, and a digital filtering method is adopted for noise filtering. According to the triangulation, the Wifi network is constructed to transmit information and determine the position of nodes. The measured data are displayed on a computer or smart phone by a graphical interface. The experiment shows that the monitoring system obtains excellent accuracy and stability in long-term continuous monitoring

Adaptation and application of the IEEE 2413-2019 standard security mechanisms to IoMT systems

Healthcare information systems are evolving from traditional centralised architectures towards highly-mobile distributed environments within the connected health context. The IoMT paradigm is at the forefront of this technological revolution underlying the development of communication infrastructures connecting smart medical devices, healthcare information systems and services. The IEEE 2413 standard, a promising general architectural framework for the design and implementation of IoT systems, has recently been announced. This standard proposes a general description for different types of domains, including healthcare, but it does not contain an extension developed for the IoMT systems domain. This paper presents a first approach to adapt the IEEE 2413 standard to the design of IoMT systems from a security perspective, considering the most relevant aspects of the standard for the construction of this type of systems. The application to an IoMT system for monitoring patients with chronic obstructive pulmonary disease is presented as a use case.Fundación Mutua MadrileñaSociedad Española de Diabete

An IoT-aware AAL System to Capture Behavioral Changes of Elderly People

The ageing of population is a phenomenon that is affecting the majority of developed countries around the world and will soon affect developing economies too. In recent years, both industry and academia are focused on the development of several solutions aimed to guarantee a healthy and safe lifestyle to the elderly. In this context, the behavioral analysis of elderly people can help to prevent the occurrence of Mild Cognitive Impairment (MCI) and frailty problems. The innovative technologies enabling the Internet of Things (IoT) can be used in order to capture personal data for automatically recognizing changes in elderly people behavior in an unobtrusive, low-cost and low-power modality. This work aims to describe the ongoing activities within the City4Age project, funded by the Horizon 2020 Programme of the European Commission, mainly focused on the use of IoT technologies to develop an innovative AAL system able to capture personal data of elderly people in their home and city environments. The proposed architecture has been validated through a proof-of-concept focused mainly on localization issues, collection of ambient parameters, and user-environment interaction aspects

Smart campus tools: Een verkenning bij Nederlandse universiteiten en lessen uit andere sectoren

Sinds we onderzoek doen naar het managen van universiteitscampussen is meer grip krijgen op het werkelijk ruimtegebruik – naast de (theoretische) bezetting en benutting die uit de roosters blijkt – een belangrijk thema. De match tussen vraag en aanbod van ruimte en faciliteiten kan nog veel scherper, vinden velen op de campus. Temeer omdat de vraag steeds dynamischer wordt, de gebruiker steeds veeleisender en het aanbod steeds duurzamer en kostenbewuster gemanaged moet worden. Met de technologische vooruitgang is het steeds beter mogelijk om te meten en te weten hoe gebruikers van de campus zich over de campus bewegen. Dit was voor de Nederlandse universiteiten en hun facilitair/vastgoeddirecteuren (verenigd in het DFB netwerk) aanleiding om eind 2015 een onderzoeksopdracht te verstrekken, met als thema “Smart campus tools†voor het meten en verbeteren van ruimtegebruik. Doel van de opdracht was tweeledig: om te onderzoeken of/hoe de Nederlandse universiteiten anno 2016 “smart tools†inzetten en om te verkennen wat de nieuwste (technologische) ontwikkelingen zijn. Dit conceptrapport presenteert de resultaten van dit onderzoek. Via deze weg willen we het DFB en alle personen die via interviews of enquêtes hun medewerking verleenden, bedanken voor hun inspiratie, informatie en tijd. Met dit rapport hopen we de universiteiten verder te helpen bij het (nog) beter managen van hun campus en faciliteiten. &nbsp