Education > Theses > Master | Group of Next-Generation Networks and Services

2023

Aplicaciones móviles multiplataformas de agricultura de precisión

Yuanfeng Su

Supervisor: Vicente Hernández-Díaz

Universidad Politécnica de Madrid, Feb 2023

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This set of precision irrigation solutions will allow farmers to remotely monitor farm conditions and provide the right precise irrigation solution for the farm based on soil and weather conditions. The system is deployed in the cloud and provides access to multiple types of terminals. The main purpose of this precision irrigation is to maximize the use of water resources so that the crops on the farm are always effectively irrigated. Farmers are able to connect their fields to the IoT with minimal cost and are able to access irrigation solutions and view their fields in real time from their cell phone terminals.
@mastersthesis{su_aplicaciones_2023, address = {MAd}, title = {Aplicaciones móviles multiplataformas de agricultura de precisión}, url = {https://oa.upm.es/73158/}, school = {Universidad Politécnica de Madrid}, author = {Su, Yuanfeng}, month = feb, year = {2023}, keywords = {supervisor: Hernández-Díaz, Vicente}, supervisor = {Hernández-Díaz, Vicente}, dimensions = {true} }

2022

Aplicación móvil para la gestión de basuras de un núcleo urbano

Diego Alejandro Martínez Espinosa

Supervisor: Vicente Hernández-Díaz

Universidad Politécnica de Madrid, Jul 2022

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This project was carried out in order to design and develop a system that, by means of a mobile application on Android, would allow the administrators of the companies in charge of the waste collection of an urban areas and its users, have accurate and real-time information on where the containers are, at what percentage of filling they are and the layout of the possible best routes that can be taken for the collection or deposit of waste. This is intended to avoid loss of time, poor disposal of waste and pollution of the environment. The information provided was obtained from the Open Data Portal of the Madrid City Council and from the simulation of sensors that sent information to an IoT (Internet Of Things) platform for storage and administration, thus making it possible for all users of the mobile application to have access to it and achieve a smarter and cleaner city.
@mastersthesis{martinez_espinosa_aplicacion_2022, address = {Madrid, Spain}, title = {Aplicación móvil para la gestión de basuras de un núcleo urbano}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Martínez Espinosa, Diego Alejandro}, month = jul, year = {2022}, keywords = {supervisor: Hernández-Díaz, Vicente}, supervisor = {Hernández-Díaz, Vicente}, dimensions = {true} }
Aplicaciones móviles multiplataformas de agricultura de precisión

Xiaojie Chen

Supervisor: Vicente Hernández-Díaz

Universidad Politécnica de Madrid, Jul 2022

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This set of precision irrigation solutions will allow farmers to remotely monitor farm conditions and provide the right precise irrigation solution for the farm based on soil and weather conditions. The system is deployed in the cloud and provides access to multiple types of terminals. The main purpose of this precision irrigation is to maximize the use of water resources so that the crops on the farm are always effectively irrigated. Farmers are able to connect their fields to the IoT with minimal cost and are able to access irrigation solutions and view their fields in real time from their cell phone terminals.
@mastersthesis{chen_aplicaciones_2022, address = {Madrid, Spain}, title = {Aplicaciones móviles multiplataformas de agricultura de precisión}, url = {https://oa.upm.es/71842/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Chen, Xiaojie}, month = jul, year = {2022}, keywords = {supervisor: Hernández-Díaz, Vicente}, supervisor = {Hernández-Díaz, Vicente}, dimensions = {true} }

2020

Sistema de e-health para monitorización de pacientes y respuesta rápida a incidencias médicas

Marta Muriel Elduayen

Supervisor: Vicente Hernández-Díaz

Universidad Politécnica de Madrid, Jul 2020

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The proposed system will monitor the patient’s condition at home. In case there is an incident, it will promptly notify the doctor and the nearest hospital, so that actions can be taken in real time. The system is focused on three profiles: recently operated patients, people in need of constant monitoring and elderly people living alone. The three profiles will wear sensors that will register their condition. The sensors’ readings will be uploaded to the cloud where they will be stored and analyzed in real time. The data generated will be accessible for the doctor by means of an application. In case the sensors collect an anomaly, the doctor and the nearest hospital will be immediately notified. Additionally, the hospital will also be notified of the equipment that needs to go in the ambulance according to the incidence.
@mastersthesis{muriel_elduayen_sistema_2020, address = {Madrid, Spain}, title = {Sistema de e-health para monitorización de pacientes y respuesta rápida a incidencias médicas}, url = {https://oa.upm.es/65270/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Muriel Elduayen, Marta}, month = jul, year = {2020}, keywords = {supervisor: Hernández-Díaz, Vicente}, supervisor = {Hernández-Díaz, Vicente}, dimensions = {true} }

2019

Environmental sensing in cities

Wiliam Fernando López Gavilánez

Supervisors: Vicente Hernández-Díaz and Francisco Javier Ortega González

Universidad Politécnica de Madrid, Jul 2019

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The environmental condition has been a main concern in the last decades. Global governments and organizations warn about the possible harm in humans and in the environment. In this context, the current cost of sensors, embedded platforms and cloud solutions allow the IoT to help in environmental monitoring. This enables better awareness and better action plans in dangerous situations. This project consists of the development of an end-to-end prototype for environmental monitoring with a low-cost approach. It has been successfully developed and tested. It has been used a Raspberry Pi 3 Model B+ with the operating system Raspbian with full capabilities. With the sensors BME680, PMS5003, ADXL343 and MT3339 it has been measured the ambient conditions, particulate matter, acceleration and location. That hardware has been controlled with Python and CircuitPython with a multi-thread process. The Raspberry has internet access through WiFi and allows the commanding via MQTT. Onesait CloudLab is the cloud platform, it stores, process and presents the measured data. It generates alarms if the particulate matter overcomes the WHO recommendation. Moreover, Node-RED tool is used for the integration between the end-device and the cloud platform. It is adopted a multi-cloud approach; the data is sent to the Azure IoT Hub and to Onesait through HTTP. The resultant prototype has been tested in a fixed place, indoors and outdoors. The data variability along the day is small, so there is no necessity to send constant data. The particulate matter augments considerably outdoors. As far as concerned the validity of the measurements there are some differences in the obtained results comparing with nearest reference stations. Nevertheless, it cannot be determined if it is due to the spatial variability of the parameter. This document includes the state-of-the-art of environmental monitoring solutions. In addition, it is explained the used materials and the development of the prototype with the obtained results. Finally, a global evaluation of the project and future steps are presented.
@mastersthesis{lopez_gavilanez_environmental_2019, address = {Madrid, Spain}, title = {Environmental sensing in cities}, url = {https://oa.upm.es/65638/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {López Gavilánez, Wiliam Fernando}, month = jul, year = {2019}, keywords = {supervisor: Hernández-Díaz, Vicente, supervisor: Ortega González, Francisco Javier}, supervisor = {Hernández-Díaz, Vicente and Ortega González, Francisco Javier}, dimensions = {true} }
Arquitectura y prototipado de un sistema de gestión de plazas en aparcamiento, utilizando aplicaciones móviles

Alejandro Gorgues Valenciano

Supervisors: Vicente Hernández-Díaz and Lourdes López-Santidrián

Universidad Politécnica de Madrid, Jul 2019

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A common problem that big cities have is the parking lot search because of the high quantity of vehicles that daily circulate through the same, that is why it is intended to make a solution that can palliate the difficulties from looking for it, allowing the client to reserve a parking lot without being inside the parking, rebounding in a greater knowledge from the parking manager about the occupation level of his/her establishment. It is ultimately intended to make a better management of free parking lots because they could be immediately reserved thorough the mobile application that has been granted to the client, increasing the business performance, loyalty to the client and monitoring the state of the parking by the manager, among other benefits. For that purpose, it has been designed and executed a simplified prototype of management that consist of a mobile application, embedded platforms that will communicate with the cloud and with the mobile devices through Bluetooth, sensors that will detect the state of the parking lot and will communicate with the previous platforms, a parking indoor guiding system and a database hosted in the cloud that will facilitate the data storage for its use as well as its later analysis.
@mastersthesis{gorgues_valenciano_arquitectura_2019, address = {Madrid, Spain}, title = {Arquitectura y prototipado de un sistema de gestión de plazas en aparcamiento, utilizando aplicaciones móviles}, url = {https://oa.upm.es/58703/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Gorgues Valenciano, Alejandro}, month = jul, year = {2019}, keywords = {supervisor: Hernández-Díaz, Vicente, supervisor: López-Santidrián, Lourdes}, supervisor = {Hernández-Díaz, Vicente and López-Santidrián, Lourdes}, dimensions = {true} }
IoT monitoring system for patients with cardiac disease

Almudena Mateos Barrado

Supervisors: Vicente Hernández-Díaz and José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, Jul 2019

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The work developed for the Master Thesis explained in this document is about the development of a monitorization system for patients with cardiac diseases, to heal at their homes after surgery, once they do not need primary attention services. The approach consists on the development of sensor terminals, that acquire data from the real world, such as temperature, heartbeat or electrocardiogram data, among others, manages them, puts them in dashboards and makes decisions. Afterwards, those data are sent to the cloud. An edge device gathers data from the sensor nodes, pre-process that and it is also in charge of triggering alarms. This device sends data to the cloud platform periodically. The cloud platform that is being used is Microsoft Azure. The master thesis has been developed using several hardware platforms, such as TTGO and Raspberry Pi (or similar), as a sensing platform and an edge platform respectively, and Microsoft Azure as cloud platform. And different means of communication, such as MQTT, HTTP and LoRa, are also involved in the system.
@mastersthesis{mateos_barrado_iot_2019, address = {Madrid, Spain}, title = {{IoT} monitoring system for patients with cardiac disease}, url = {https://oa.upm.es/65641/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Mateos Barrado, Almudena}, month = jul, year = {2019}, keywords = {supervisor: Hernández-Díaz, Vicente, supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Hernández-Díaz, Vicente and Martínez-Ortega, José-Fernán}, dimensions = {true} }
A decision-making approach for Smart Farming

Ao Hu

Supervisor: José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, Jul 2019

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Since the population is continuously increasing, by 2050 the global population will reach 9.7 billion people. The production of the food to supply this huge amount of the population has become a big challenge for modern agriculture, it is necessary to find a faster and more efficient way for food production. Therefore, new technologies are being applied in farming constructing a new era of smart farming, and Decision Support System (DSS) is one of the most important components. In this thesis, an approach of implementing a DSS is presented and the topic is focused on crop management. And more specifically, rice is the crop under study and dataset from Chinese National Germplasm Repository is used. Different technologies are involved in implementing the DSS such as Big Data, machine learning or cloud platform. Kafka streaming system is used as a messaging system to send rice examples through a direct stream connection established between Spark and Kafka; The use of Spark streaming tool enables the data processing in a distributed way; Different machine learning algorithms are trained in order to classify the rice quality of the examples and the prediction will be done in real-time in Spark; And the cloud platform used is Onesait, where final processed data is stored and dashboard visualization is fulfilled.
@mastersthesis{hu_decision-making_2019, address = {Madrid, Spain}, title = {A decision-making approach for {Smart} {Farming}}, url = {https://oa.upm.es/65635/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Hu, Ao}, month = jul, year = {2019}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }
Improvements in precision agriculture using Internet of Robotic Things (IoRT)

Andreas Beck Doninelli

Supervisors: Vicente Hernández-Díaz and Gregorio Rubio-Cifuentes

Universidad Politécnica de Madrid, Jul 2019

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The world has been evolving and technology has been growing by its side. The advancement in technology isn’t linear, instead, it is exponential. Even though, Mark D. Weiser didn’t bring the name ”IoT” to public ears, he was the ”father” of Ubiquitous Computing, a concept where computers can be anywhere at anytime without being perceived. ”The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.” Population is in a constant growth reaching to its current value of 7.7 billion, estimated by 2055 to reach 10 billion. This increase will directly affect the total amount of food consumption, which leads to discover new efficient techniques on agriculture. This is where the IoT and agriculture will meet. The world has Least Developed Countries and isolated areas which suffer from great poverty. They feed themselves from their own agriculture, but they do not produce as much as it is needed to sustain their economical income. Since these people do not have the amount of employees needed to produce in larger lands, they need to raise their productivity. The most efficient way to raise productivity is by inserting new technologies to their procedures. The problem is; these areas are underdeveloped or isolated, meaning commercial telecommunication technologies are not available which is an obstacle when connecting to IoT devices. Is it possible to help this people prevail by creating a design of an IoT implementation supported in these areas?
@mastersthesis{beck_doninelli_improvements_2019, address = {Madrid, Spain}, title = {Improvements in precision agriculture using {Internet} of {Robotic} {Things} ({IoRT})}, url = {https://oa.upm.es/65747/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Beck Doninelli, Andreas}, year = {2019}, keywords = {supervisor: Hernández-Díaz, Vicente, supervisor: Rubio-Cifuentes, Gregorio}, supervisor = {Hernández-Díaz, Vicente and Rubio-Cifuentes, Gregorio}, dimensions = {true} }

2018

Usability of SDN routing within IoT robotics

Saloum Jimbara

Supervisor: José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, Jul 2018

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Increase in urbanization has greatly decrease manpower in agricultural sectors. With the growing world population, the demand for agricultural products is increasing. Thus a more coste-effective and modern agriculture needs to be addressed. To achieve a cost-effective modern agriculture, a simple, reliable, and manageable routing between the nodes of IoT Robotics networks for precision farming are needed. The focus of this paper is to enhance routing within IoT Robotics networks for precision farming using Software Designed Net-working (SDN) technologies. Current routing protocols for IoT robotics solve specific issues each. Some of the issues with the nodes are high energy needs and resource constraints. This is as a result of both the controller and data planes of the routing function housed within the same node. SDN routing within IoT Robotics network is proposed in this paper to reduce energy needs and resource constraints of the nodes as well as to provide simple, reliable and more manageable routing within IoT Robotics networks. Environment setup for the demo of SDN routing within IoT Robotics networks was made using Ubuntu local machine, virtualization system, Mininet Virtual Machine (VM), MiniEdit, POX controller, one Ubuntu VM, and Wireshark. In the demo four scenarios were simulated. The first scenario shows the building of flow in directly-connected nodes by SDN controller to enable routing of packets between them. The second scenario shows building ows by SDN controller in different switches to enable routing of packets between none directly-connected nodes. The third scenario shows routing between two nodes in different subnets. The fourth scenario shows routing between nodes with a completely isolated SDN controller. With SDN routing within IoT Robotics networks for precision farming, a global routing algorithm will be achieved as well as more manageable routing. This will result in farmers opting for more IoT devices as a result of lower equipment cost.
@mastersthesis{jimbara_usability_2018, address = {Madrid, Spain}, title = {Usability of {SDN} routing within {IoT} robotics}, url = {https://oa.upm.es/54392/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Jimbara, Saloum}, month = jul, year = {2018}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }
SmartBnB: plataforma de gestión de propiedades en alquiler turístico

Rafael Paytuvi Egui

Supervisor: Vicente Hernández-Díaz

Universidad Politécnica de Madrid, Jul 2018

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The hospitality industry, considered as the economic activity concerning the provision of services linked to sporadic lodging or restaurants, is, perhaps, the most important area of tourism and, as such, it is the one that generates the most economic movement for the countries. It is worth noting the exponential growth of the rental of personal and private places for tourism purposes. Within this specific area, there is a niche market: the introduction of home automation to the AirBnB business model and similar to solve two of its biggest problems: the lack of independence of the owners and guests, as well as the optimization of the electrical consumption of the properties for the increase of gains, by remote control of the doors and equipment, as well as the measurement and optimization of the electrical consumption of the same.
@mastersthesis{paytuvi_egui_smartbnb_2018, address = {Madrid, Spain}, title = {{SmartBnB}: plataforma de gestión de propiedades en alquiler turístico}, url = {https://oa.upm.es/52140/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Paytuvi Egui, Rafael}, month = jul, year = {2018}, keywords = {supervisor: Hernández-Díaz, Vicente}, supervisor = {Hernández-Díaz, Vicente}, dimensions = {true} }
A mission planning approach for precision farming system based on multi-objective optimization

Zhaoyu Zhai

Supervisor: José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, Feb 2018

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As the need for food is growing continuously, the intelligent agriculture replaces the traditional agriculture by deploying various agricultural machineries to perform the agricultural missions. However, the intelligent agriculture is not smart enough, so it requires massive of human interventions. These interventions are always based on the previous experience, leading to an imprecise control over the intelligent agriculture system, especially in mission planning and resource allocation. This paper proposes a precision farming system (PFS) and treats it as a multi-agent system (MAS) with an improved federal architecture. The machineries in this system are regarded as the agents with different functionalities. Regarding the mission planning in the PFS, it is actually a multi-objective optimization problem (MOP) and this paper defines the optimization objectives. An improved algorithm, GAPSO, is proposed to plan the established missions. During the mission planning process, each agent allocates the benefits through an auction. After receiving the bids from the agent candidates, the auction host runs the GAPSO to compute the Pareto optimal solution, which is the best strategy for mission planning and resource allocation. Then, the selected agents form an agent coalition according to the computed solution and execute the agricultural missions cooperatively. In order to verify the feasibility of proposed mission planning approach, a simulation is designed to execute an agricultural mission by several machineries. The simulation result illustrates that the mission is planned properly and the resource is allocated reasonably. The proper mission planning and resource allocation enables the intelligent agriculture to increase the productivity and decrease the cost. Meanwhile, the precise use of the pesticide decreases the harm to farming fields. The theoretical analysis and simulation is a good foundation for the further study. Once the mission planning approach applies to the real scenario, it is expected to bring high economic benefits.
@mastersthesis{zhai_mission_2018, address = {Madrid, Spain}, title = {A mission planning approach for precision farming system based on multi-objective optimization}, url = {https://oa.upm.es/54417/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Zhai, Zhaoyu}, month = feb, year = {2018}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }

2016

Modelo de información común de un middleware semántico para Internet de la Energía

Alexandra Cuerva García

Supervisor: José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, May 2016

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Traditionally, technologies based on nuclear energy and fossil fuels have been the basis for European supply, while gas power generation was used to cover peak loads in the power system. In the next decade, it is expected that power generation through renewable energies enhance noticeably. For this reason, a new concept known as Internet of Energy (IoE) has appeared. IoE provides innovative ways for energy distribution, storage, communication and monitoring covering the whole power grid. From the point of view of the consumer, the new concept of IoE offers the possibility to access a more reliable, flexible, robust and efficient smart grid comparing with the current and conventional power grid. Within the world that makes up the IoE, the information is obtained from many devices with different characteristics. This information can be displayed in several formats, so it is essential to reach a common model. The idea is that the diversity of devices operating in IoE can communicate and understand each other. Traditional middlewares are obsolete for these cases. Fortunately, the use of semantics can be a possible solution. One option to achieve a semantic middleware is the use of ontologies. Therefore, the main objective of this Master’s Thesis has been the design and implementation of a common information model for a semantic middleware applicable to IoE. To achieve this goal successfully, another task has been done previously: the study of the state of the art about IoE semantic middlewares. First, the design and implementation have been done. Following, the prototype has passed different tests to check that it works correctly.
@mastersthesis{cuerva__garcia_modelo_2016, address = {Madrid, Spain}, title = {Modelo de información común de un middleware semántico para {Internet} de la {Energía}}, url = {https://oa.upm.es/43690/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Cuerva García, Alexandra}, month = may, year = {2016}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }
Development of a fuzzy control based self-adaptive system for energy saving in constrained networks for the Internet of Things

Néstor Lucas-Martínez

Supervisor: José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, Feb 2016

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Among the design goals for future networks, including next generation networks, we can find the energy consumption and the connectivity. These two goals are of special relevance when dealing with constrained networks. That is the case of Wireless Sensors Networks (WSN). These networks consist of devices with low or very low processing capabilities. They also depend on batteries for their operation. Thus energy optimization becomes a very important issue. Several proposals have been made for optimizing the energy consumption in this kind of networks. Perhaps the best known are those based on the coordinated planning of active and sleep intervals. They are indeed one of the most effective ways to extend the lifetime of the batteries. The proposal presented in this work uses a probabilistic approach to control the connectivity of a network. The underlying idea is that it is highly probable that the network will have a good connectivity if all the nodes have a minimum number of neighbors. By using some mechanism to reach that number, we hope that we can preserve the connectivity with a lower energy consumption compared to the required one if a fixed transmission power is used to achieve a similar connectivity. The mechanism must have the smallest footprint possible on the devices being used in order to be efficient. Therefore a fuzzy control based self-adaptive system is proposed. This work includes the design and implementation of the described system. It also has been validated in a real scenario deployment. We have obtained results supporting that there exist configurations where it is possible to get a good connectivity saving energy when compared to the use of a fixed transmission power for a similar connectivity.
@mastersthesis{lucas-martinez_development_2016, address = {Madrid, Spain}, title = {Development of a fuzzy control based self-adaptive system for energy saving in constrained networks for the {Internet} of {Things}}, url = {https://oa.upm.es/40506/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Lucas-Martínez, Néstor}, month = feb, year = {2016}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }

2015

Distribution of microservices for hardware interoperability in the Smart Grid

Jesús Rodríguez-Molina

Supervisor: José-Fernán Martínez-Ortega

Jul 2015

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Due to the significant increase of population and their natural desire of improving their standard of living, usage of energy extracted from world commodities, especially shaped as electricity, has increased in an intense manner during the last decades. This fact brings up a challenge with a complicated solution, which is how to guarantee that there will be enough energy so as to satisfy the energy demand of the world population. Among all the possible solutions that can be adopted to mitigate this problem one of them is almost of mandatory adoption, which consists of rationalizing energy utilization, in a way that its wasteful usage is minimized and it can be leveraged during a longer period of time. One of the ways to achieve it is by means of the improvement of the power distribution grid, so that it will be able to react in a more efficient manner against common issues, such as energy demand peaks or inaccurate electricity consumption forecasts. However, in order to be able to implement this improvement it is necessary to use technologies from the ICT (Information and Communication Technologies) sphere that often present challenges in some key areas: advanced metering infrastructure integration, interoperability and interconnectivity of the devices, interfaces to offer the applications, security measures design, etc. All these challenges may imply slowing down the adoption of the smart grid as a system to prolong the lifespan and utilization of the available energy. A proposal for an intermediation architecture that will make possible solving these challenges is put forward in this Master Thesis. Besides, one implementation and the tests that have been carried out to know the performance of the presented concepts have been included as well, in a way that it can be proved that the challenges set out by the smart grid can be resolved.
@phdthesis{rodriguez-molina_distribution_2015, address = {Madrid, Spain}, type = {ster {Thesis}}, title = {Distribution of microservices for hardware interoperability in the {Smart} {Grid}}, url = {https://oa.upm.es/38136/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Rodríguez-Molina, Jesús}, month = jul, year = {2015}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }
Desarrollo de algoritmos de toma de decisión aplicados a las ciudades inteligentes

David Gómez Sánchez-Pascuala

Supervisors: José-Fernán Martínez-Ortega and Juana Sendra-Pons

Universidad Politécnica de Madrid, Apr 2015

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This master thesis is framed under Smart Cities environment. A Smart City can be defined as the use of Information and Communication Technologies to make the critical infrastructure components and services of a city more intelligent, interconnected and efficient and citizens can be also more aware of them. Smart City is a new concept which presents a novel set of design challenges that must be addressed. Two important challenges are the changeable context and the uncertainty of context information. One of the essential parts of Smart Cities, which enables to address these challenges, are decision making mechanisms. Based on the information collected of the context, these systems can be configured to change its behavior whenever certain changes are detected, so that they can adapt themselves and response to the current situation properly. This master thesis is aimed at developing decision making algorithms under Smart Cities framework. In particular, a decision making algorithm which addresses the abovementioned challenges and that can be applied to one of the main categories of Smart Cities, named Intelligent Transportation Systems, has been designed and implemented. To do so, MATLAB software has been used. This project is mainly structured in two parts: a theoretical part and a practical part. In theoretical part, basic ideas about the concept of Smart Cities and Intelligent Transportation Systems are given, as well as the concept of decision making. The steps of the decision making procedure are also explained and a state of the art of existing decision making algorithms is provided. On the other hand, the second part of this project is totally original. In this part, the author propose a decision making algorithm that can be applied to Intelligent Transportation Systems and develops the implementation of the algorithm in MATLAB. Finally, to show the operation of the algorithm, it is validated in an application scenario consisting in a smart traffic management system.
@mastersthesis{gomez_sanchez-pascuala_desarrollo_2015, address = {Madrid, Spain}, title = {Desarrollo de algoritmos de toma de decisión aplicados a las ciudades inteligentes}, url = {https://oa.upm.es/38261/}, language = {Spanish}, school = {Universidad Politécnica de Madrid}, author = {Gómez Sánchez-Pascuala, David}, month = apr, year = {2015}, keywords = {supervisor: Martínez-Ortega, José-Fernán, supervisor: Sendra-Pons, Juana}, supervisor = {Martínez-Ortega, José-Fernán and Sendra-Pons, Juana}, dimensions = {true} }

2014

Context modelling for natural Human Computer Interaction applications in e-health

Xin Li

Supervisor: José-Fernán Martínez-Ortega

Universidad Politécnica de Madrid, Nov 2014

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The conception of IoT (Internet of Things) is accepted as the future tendency of Internet among academia and industry. It will enable people and things to be connected at anytime and anyplace, with anything and anyone. IoT has been proposed to be applied into many areas such as Healthcare, Transportation，Logistics, and Smart environment etc. However, this thesis emphasizes on the home healthcare area as it is the potential healthcare model to solve many problems such as the limited medical resources, the increasing demands for healthcare from elderly and chronic patients which the traditional model is not capable of. A remarkable change in IoT in semantic oriented vision is that vast sensors or devices are involved which could generate enormous data. Methods to manage the data including acquiring, interpreting, processing and storing data need to be implemented. Apart from this, other abilities that IoT is not capable of are concluded, namely, interoperation, context awareness and security & privacy. Context awareness is an emerging technology to manage and take advantage of context to enable any type of system to provide personalized services. The aim of this thesis is to explore ways to facilitate context awareness in IoT. In order to realize this objective, a preliminary research is carried out in this thesis. The most basic premise to realize context awareness is to collect, model, understand, reason and make use of context. A complete literature review for the existing context modelling and context reasoning techniques is conducted. The conclusion is that the ontology-based context modelling and ontology-based context reasoning are the most promising and efficient techniques to manage context. In order to fuse ontology into IoT, a specific ontology-based context awareness framework is proposed for IoT applications. In general, the framework is composed of eight components which are hardware, UI (User Interface), Context modelling, Context fusion, Context reasoning, Context repository, Security unit and Context dissemination. Moreover, on the basis of TOVE (Toronto Virtual Enterprise), a formal ontology developing methodology is proposed and illustrated which consists of four stages: Specification & Conceptualization, Competency Formulation, Implementation and Validation & Documentation. In addition, a home healthcare scenario is elaborated by listing its well-defined functionalities. Aiming at representing this specific scenario, the proposed ontology developing methodology is applied and the ontology-based model is developed in a free and open-source ontology editor called Protégé. Finally, the accuracy and completeness of the proposed ontology are validated to show that this proposed ontology is able to accurately represent the scenario of interest.
@mastersthesis{li_context_2014, address = {Madrid, Spain}, title = {Context modelling for natural {Human} {Computer} {Interaction} applications in e-health}, copyright = {Attribution-NonCommercial-NoDerivatives}, url = {https://oa.upm.es/38177/}, language = {English}, school = {Universidad Politécnica de Madrid}, author = {Li, Xin}, month = nov, year = {2014}, keywords = {supervisor: Martínez-Ortega, José-Fernán}, supervisor = {Martínez-Ortega, José-Fernán}, dimensions = {true} }