44 research outputs found

    IoT for Urban Sustainability in Smart Cities

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    Low-cost PM Sensor Behaviour Based on Duty-Cycle Analysis

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    Particulate Matter (PM) air pollution has received growing attention in recent years due to the increased sensitivity to the problem and the spread of low-cost sensing devices. These low-cost devices are able to produce valuable data, but they come with certain hurdles which are engineering challenges to be overcome. These challenges are mainly: reduction of consumed energy; reduction of data logged and transmitted; aging of sensors. The aim of this paper is to understand if it is possible to reduce the duty-cycle of an air pollution monitoring sensor and still get meaningful data on the general behavior. This has advantages from all perspectives: it enables less logging of redundant information; it reduces the strain of the sensor to extend its lifespan and to reduce maintenance costs; it reduces the energy consumed by the sensor, essential in battery-powered devices

    Time grid generator for Beat synchronization systems on an embedded system

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    Despite the fact that Beat detection is a natural process of human perception, computer algorithms have a hard time deciding the presence of a beat. Considering the importance of beats in music, starting with the fact that they give the temporal markup, this Project focuses in the implementation, evaluation and enhancement of some common beat detection algorithms in order to select the one with best results and implement that one on an embedded system. Furthermore, a compatibility issue was found regarding the interfaces used by different devices when synchronizing them. Actually, MIDI interfaces are used, but not all support it, moreover that type of interface restricts the complexity of the tracks

    Frequency Analysis of Particulate Matter in Urban Environments under Low-cost Sensors

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    Air pollution comes to be a research relevance due to the over pollution generated by urban environments and their human health impact. The growing interest has impulsed the development of low-cost ultra-fine particulate matter (PM) sensors, and numerous projects involving WSN devices. However, monitoring ultra-fine particles present different challenges to define an optimal estimation rate. There is no defined estimation rate to different PM events of interest, or involving frequency behavior of PM signals sensed by light-scattering based sensors at higher rates than professional PM metering stations. This study presents a meticulous analysis of PM signals’ frequency behavior from an open-source dataset to correctly determine the maximum frequency needed to digitalize air pollution signals. The results obtained from the analysis allow setting a period rate for estimating the concentration of particulate material with less resolution affectation and reducing the generation of data and energy consumption

    Promoting Healthy City through ICT technologies. An experience of Particulate Matter low-cost monitoring

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    The Pandemic emergency related to COVID-19 has renewed the interest in the Healthy City promotion and design. Ensuring a genuine life quality for all in healthier urban environments is a central issue in the contemporary architectural debate, as well as fundamental to achieve Sustainable Development Goals 11 and 3. In the urban context, both natural and anthropogenic factors drastically affect health and economy. Monitoring, simulating, assessing, and controlling such environmental factors is a prerequisite in promoting the Healthy City. In this perspective, ICT technologies and data processing offer new opportunities and tools to understand and manage complex and heterogeneous urban phenomena. The aim of this paper is to demonstrate the effectiveness of low-cost ICT technologies in widespread air quality monitoring. To this, the Particulate Matter (PM) 2.5 and 10 sensors developed by the research group is tested in a real world case-study. Results obtained from field monitoring campaigns in most relevant seasons, compared to data by the official meteorological municipal station, highlight benefits and barriers for developing a widespread urban monitoring infrastructure in a Healthy City site-specific design perspective

    Promoting Healthy City through ICT technologies. An experience of Particulate Matter low-cost monitoring

    No full text
    The Pandemic emergency related to COVID-19 has renewed the interest in the Healthy City promotion and design. Ensuring a genuine life quality for all in healthier urban environments is a central issue in the contemporary architectural debate, as well as fundamental to achieve Sustainable Development Goals 11 and 3. In the urban context, both natural and anthropogenic factors drastically affect health and economy. Monitoring, simulating, assessing, and controlling such environmental factors is a prerequisite in promoting the Healthy City. In this perspective, ICT technologies and data processing offer new opportunities and tools to understand and manage complex and heterogeneous urban phenomena. The aim of this paper is to demonstrate the effectiveness of low-cost ICT technologies in widespread air quality monitoring. To this, the Particulate Matter (PM) 2.5 and 10 sensors developed by the research group is tested in a real world case-study. Results obtained from field monitoring campaigns in most relevant seasons, compared to data by the official meteorological municipal station, highlight benefits and barriers for developing a widespread urban monitoring infrastructure in a Healthy City site-specific design perspective

    De las leyendas de Gustavo Adolfo Bécquer a los cuentos de Emilia Pardo Bazán

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    The aim of this paper is to make a comparative study between Gustavo Adolfo Bécquer's legends and some of Emilia Pardo Bazán's tales. For this purpose, a conceptualization of the terms “legend”, “tale” and “legendary tale” is elaborated in order to determine their similarities and differences. In order to establish the points of convergence and divergence between the stories of the Sevillian author and the author from A Coruña, we start from the articulation of the tales, their way of incorporating supernatural elements and their common influences, that is, Spanish and European legends, the tales of Edgar Allan Poe and some Spanish writers of the first half of the 19th century.El objetivo de este trabajo es hacer un estudio comparativo entre las leyendas de Gustavo Adolfo Bécquer y algunos de los cuentos de Emilia Pardo Bazán. Para ello, se elabora una conceptualización de los términos “leyenda”, “cuento” y “cuento legendario”, con el fin de determinar sus similitudes y diferencias. Para establecer los puntos de convergencia y divergencia entre los relatos del autor sevillano y la autora coruñesa, se parte de la articulación de los cuentos, su manera de incorporar los elementos sobrenaturales y sus influencias en común, es decir, leyendas españolas y del resto de Europa, las narraciones de Edgar Allan Poe y de algunos escritores españoles de la primera mitad del siglo XIX

    An Architecture for Biometric Electronic Identification Document System Based on Blockchain †

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    This paper proposes an architecture for biometric electronic identification document (e-ID) system based on Blockchain for citizens identity verification in transactions corresponding to the notary, registration, tax declaration and payment, basic health services and registration of economic activities, among others. To validate the user authentication, a biometric e-ID system is used to avoid spoofing and related attacks. Also, to validate the document a digital certificate is used with the corresponding public and private key for each citizen by using a user’s PIN. The proposed transaction validation process was implemented on a Blockchain system in order to record and verify the transactions made by all citizens registered in the electoral census, which guarantees security, integrity, scalability, traceability, and no-ambiguity. Additionally, a Blockchain network architecture is presented in a distributed and decentralized way including all the nodes of the network, database and government entities such as national register and notary offices. The results of the application of a new consensus algorithm to our Blockchain network are also presented showing mining time, memory and CPU usage when the number of transactions scales up

    Development and In-field Application of a System for Indoor Environmental Quality Monitoring and Occupants’ Feedback Collection

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    Indoor Environmental Quality (IEQ) affects occupants’ health, well-being and comfort, making its assessment increasingly required. This work presents a system designed to collect subjective and objective data on IEQ, referred to as PROMET&O (PROactive Monitoring for indoor EnvironmenTal quality & cOmfort). It is built on a survey and a low-cost and accurate multi-sensor device. The former was developed to collect feedback on occupants’ comfort perception and personal and behavioural information. The latter was developed to monitor the thermal, lighting, acoustic and air quality conditions in indoor environments. The monitored parameters (air temperature, relative humidity, carbon dioxide, carbon monoxide, nitrogen dioxide, particulate matter, volatile organic compounds, formaldehyde, illuminance and sound pressure level) were selected based on international standards. A three-step calibration of the device is applied to ensure the measurements’ reliability. The monitored data is transferred and processed on an open-source platform and the thermal comfort, visual comfort, acoustic comfort, indoor air quality and IEQ indexes are calculated and displayed on a user-friendly interface. This interface was designed to inform both building managers and occupants on IEQ trends and to provide them with more information on monitored parameters and hints on actions to improve their comfort. Preliminary tests in laboratory and in-field have shown the validity and scalability of the system’s design

    Medidor de consumo energético basado en el paradigma IoT

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    Trabajo de grado en el cuál se presenta la implementación de in prototipo que mide el consumo energético de los electrodomésticos, con la capacidad de hacer analítica de datos y tomar acciones sobre eventos como la desconexión de la carga en caso de consumo excesivo o por decisión del usuario. Es un dispositivo no invasivo en la red eléctrica conectado a internet con una interfaz gráfica amigable con el usuario.In this paperit is presentedthe implementation of a prototype that measures the energy consumption of household appliances, with the ability to perform data analytics and take action on events such as disconnection of the load in case of excessive consumption or by decision of the user. It is a non-invasive device in the electrical network,connected to the internet with a user-friendlygraphical interface.Ingeniero (a) ElectrónicoPregrad
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