Embedding smart software agents in resource constrained Internet of Things devices

[ES]Los sistemas de sensorización en combinación con herramientas de tratamiento y gestión inteligente de información, constituyen la base sobre la que se construirán las ciudades y entornos urbanos del futuro. Avanzar en la investigación y desarrollo de estos nuevos escenarios inteligentes, es fundamental a la hora de alcanzar los objetivos de eficiencia, integración, sostenibilidad y calidad de vida de las personas que habitan nuestras ciudades. Para alcanzar estos objetivos, es fundamental indagar en el desarrollo de dispositivos hardware más baratos, precisos e inteligentes que serán la base de los entornos inteligentes del futuro. Debido a las previsiones realizadas para los próximos años, la cantidad de dispositivos conectados a Internet será de hasta 7 dispositivos por cada persona en el planeta. Esta avalancha de dispositivos llevará asociada una avalancha de datos que tendrán que ser manejados y almacenados por los centros de procesamiento de datos. Por todo ello, avanzar en el diseño de herramientas para el procesamiento de datos inteligente, así como en nuevos dispositivos de sensorización, es una tarea de vital importancia para la viabilidad futura de los entornos conectados. Por ello, en este trabajo de tesis doctoral se propone un sistema inteligente basado en agentes embebidos en dispositivos inalámbricos con capacidades reducidas (memoria y capacidad de cómputo limitada), para entornos del Internet de las cosas (IoT) donde sea posible un procesamiento inteligente de datos. En particular, se presenta una novedosa arquitectura multi-agente enfocada a la gestión de los datos generados por los dispositivos IoT, sobre la que construir una capa de servicios adaptada a las diferentes necesidades de los distintos entornos donde será posible desplegar el sistema de sensorización. Con el objetivo de validad el sistema propuesto, se ha diseñado un caso de estudio basado en redes de sensores en un entorno IoT de eficiencia energética a través de la optimización del consumo de batería de una bicicleta eléctrica

Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation

[EN]Monitoring mechanisms that ensure efficient crop growth are essential on many farms, especially in certain areas of the planet where water is scarce. Most farmers must assume the high cost of the required equipment in order to be able to streamline natural resources on their farms. Considering that many farmers cannot afford to install this equipment, it is necessary to look for more effective solutions that would be cheaper to implement. The objective of this study is to build virtual organizations of agents that can communicate between each other while monitoring crops. A low cost sensor architecture allows farmers to monitor and optimize the growth of their crops by streamlining the amount of resources the crops need at every moment. Since the hardware has limited processing and communication capabilities, our approach uses the PANGEA architecture to overcome this limitation. Specifically, we will design a system that is capable of collecting heterogeneous information from its environment, using sensors for temperature, solar radiation, humidity, pH, moisture and wind. A major outcome of our approach is that our solution is able to merge heterogeneous data from sensors and produce a response adapted to the context. In order to validate the proposed system, we present a case study in which farmers are provided with a tool that allows us to monitor the condition of crops on a TV screen using a low cost device.European Commision (EC). Funding H2020/MSCARISE. Project Code: 641794European Commision (EC). Funding FP7/SPE/SME. Project Code: 283638European Commision (EC). Funding FP7/SP1/ENV. Project Code: 28294

Multi-Sensor Information Fusion for Optimizing Electric Bicycle Routes Using a Swarm Intelligence Algorithm

[EN]The use of electric bikes (e-bikes) has grown in popularity, especially in large cities where overcrowding and traffic congestion are common. This paper proposes an intelligent engine management system for e-bikes which uses the information collected from sensors to optimize battery energy and time. The intelligent engine management system consists of a built-in network of sensors in the e-bike, which is used for multi-sensor data fusion; the collected data is analysed and fused and on the basis of this information the system can provide the user with optimal and personalized assistance. The user is given recommendations related to battery consumption, sensors, and other parameters associated with the route travelled, such as duration, speed, or variation in altitude. To provide a user with these recommendations, artificial neural networks are used to estimate speed and consumption for each of the segments of a route. These estimates are incorporated into evolutionary algorithms in order to make the optimizations. A comparative analysis of the results obtained has been conducted for when routes were travelled with and without the optimization system. From the experiments, it is evident that the use of an engine management system results in significant energy and time savings. Moreover, user satisfaction increases as the level of assistance adapts to user behavior and the characteristics of the route

Monitoring and analysis of vital signs of a patient through a multi-agent application system

In the medical environment, the clinical study of the most basic vital signs of a patient represents the simplest and most effective way to detect and monitor health problems. There are many diseases that can be diagnosed and controlled through regular monitoring of these medical data. The purpose of this study is to develop a monitoring and tracking system for the various vital signs of a patient. In particular, this work focuses on the design of a multi-agent architecture composed of virtual organizations with capabilities to integrate different medical sensors on an open, low-cost hardware platform. This system integrates hardware and software elements needed for the routine measurement of vital signs, performed by the patient or caregiver without having to go to a medical center

+Cloud: An Agent-Based Cloud Computing Platform

Cloud computing is revolutionizing the services provided through the Internet, and is continually adapting itself in order to maintain the quality of its services. This study presents the platform +Cloud, which proposes a cloud environment for storing information and files by following the cloud paradigm. This study also presents Warehouse 3.0, a cloud-based application that has been developed to validate the services provided by +Cloud

Diseño e implementación de una herramienta para la visualización de código para alumnos de asignaturas de introducción a la programación en ingenierías

Memoria ID-0003. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2017-2018

Increasing the Intensity over Time of an Electric-Assist Bike Based on the User and Route: The Bike Becomes the Gym

[EN]Nowadays, many citizens have busy days that make finding time for physical activity difficult. Thus, it is important to provide citizens with tools that allow them to introduce physical activity into their lives as part of the day’s routine. This article proposes an app for an electric pedal-assist-system (PAS) bicycle that increases the pedaling intensity so the bicyclist can achieve higher and higher levels of physical activity. The app includes personalized assist levels that have been adapted to the user’s strength/ability and a profile of the route, segmented according to its slopes. Additionally, a social component motivates interaction and competition between users based on a scoring system that shows the level of their performances. To test the training module, a case study in three different European countries lasted four months and included nine people who traveled 551 routes. The electric PAS bicycle with the app that increases intensity of physical activity shows promise for increasing levels of physical activity as a regular part of the da

An Intelligent Agent-Based Journalism Platform

Internet upswing has entailed a structural change for journalism in general and the press in particular. The emergence of a new horizontal, low cost and accessible space for communication, has brought profound changes in journalism, both on the production and distribution. In this paper, we present a novel agent-based social platform which aims to improve the organization, management and distribution of the media contents through the application of artificial intelligence techniques

Manual de reconocimiento macroscópico de minerales y rocas con Realidad Aumentada

Memoria ID-0038. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2017-2018

Diseño de una guía didáctica sobre dispositivos hardware de código abierto para estudiantes de ingeniería

Memoria ID-0114. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2016-2017