Study on the perception of DIY in domotics in Portugal

The growth of the home automation market depends on technological innovations, rapid evolution of the Internet of Things and Do-It-Yourself (DIY) solutions. This project analysed the perception about domotics related to DIY in Portugal, intending to understand if smart home technologies are used and valued, which factors motivate their acquisition, their purpose and the advantages perceived by users. A questionnaire was used to collect data, resulting in an exploratory study based on data from a convenience sample. The model to evaluate this study was based on the constructs based on Technology Acceptance Models - TAM. From the results obtained, it was concluded that the respondents have a positive perception about domotics and its usefulness faced with DIY on the technologies that make a smart home. Regarding the acquisition and installation of technologies associated with home automation on their own, the respondents are divided, as half consider that they can do it autonomously and the other half only with the intervention of specialists in home automation

Control domótico y monitoreo por medio de IOT

This article shows the process developed as a degree option with the design and implementation of a prototype of a Home automation Control system and monitoring through IoT for people with visual impairment using voice commands, which evidences the use of a second generation Intel Galileo card in which the programming corresponding to the home automation control was carried out by means of voice commands using the Arduino IDE, together with an inventor App in which the recognition of the commands sent to The Intel processing board through a cell phone with Android operating system, in the same way the monitoring of variables such as temperature and heart rate was performed through the IoT Ubidots platform through the use of an Arduino one, together with an Ethernet shield for to be able to visualize these variables, as well as generate an alert message to our mobile phone informing us that s e has produced an anomaly in the pre-established parameters previously in the platform, it is also necessary to mention some tests carried out against some of the potentials that Intel Galileo has as a test carried out in the python software when checking its connectivity and operation with the card output pins.En este documento se presenta el proceso desarrollado como opción de grado con el diseño e implementación de un prototipo  de un sistema de Control Domótico y monitoreo por medio de IoT para personas en condición de discapacidad visual utilizando comandos de voz, en el cual se evidencia el uso de una Intel galileo de segunda generación tarjeta en la cual se realizó la programación correspondiente al control domótico por medio de comandos de voz haciendo uso del IDE de Arduino, junto con una App inventor en la cual se efectúa el reconocimiento de los comandos enviados a la placa de procesamiento de Intel mediante un celular con sistema operativo android, de igual forma se realizó el monitoreo de variables como temperatura y ritmo cardíaco por medio de la plataforma Ubidots de IoT mediante el uso de un Arduino uno, junto con un escudo Ethernet para poder así visualizar dichas variables, al igual que generar un mensaje de alerta a nuestro teléfono móvil informándonos que se ha producido una anomalía en los parámetros preestablecidos con anterioridad en la plataforma, también es necesario mencionar algunas pruebas realizadas frente a algunas de las potencialidades que posee la Intel galileo como una prueba realizada en el software python al comprobar su conectividad  y el funcionamiento con los pines de salida de la tarjeta

Optimal Domotic Systems Based on Archival Data Trend Analysis

Domotics is the integration of technology into building systems. Due to the rapid growth in the use of domotic systems in recent years, the industry is struggling to establish consistency and standardization. The purpose of this archival-based qualitative case study was to identify current trends and patterns in scholarly domotic research to create an instrument to evaluate domotic systems and domotic interrelationships using bibliometric searches. The facilities management and modeling system provided the framework for the study. Archival research data were examined to identify trends and patterns in domotic research and provide visualization of domotic relationships through technology trajectory mapping and technology s-curve charts. Text-mining techniques were used to explore trends and patterns in recent scholarly domotic research. The technology s-curve was used to determine trends and patterns in domotic systems design. The results included a tool for the evaluation of domotic systems, which may provide domotic designers with a tool to evaluate the progress of domotic systems. The study also provided results on trends in domotic technologies, which may be used to improve building design development

HIDE: User centred Domotic evolution toward Ambient Intelligence

Pervasive Computing and Ambient Intelligence (AmI) visions are still far from being achieved, especially with regard to Domotics and home applications. According to the vision of Ambient Intelligence (AmI), the most advanced technologies are those that disappear: at maturity, computer technology should become invisible. All the objects surrounding us must possess sufficient computing capacity to interact with users, the surroundings and each other. The entire physical environment in which users are immersed should thus be a hidden computer system equipped with the appropriate software in order to exhibit intelligent behavior. Even though many implementations have started to appear in several contexts, few applications have been made available for the home environment and the general public. This is mainly due to the segmentation of standards and proprietary solutions, which are currently confusing the market with a sparse offer of uninteroperable devices and systems. Although modern houses are equipped with smart technological appliances, still very few of these appliances can be seamlessly connected to each other. The objective of this research work is to take steps in these directions by proposing, on the one hand, a software system designed to make today’s heterogeneous, mostly incompatible domotic systems fully interoperable and, on the other hand, a feasible software application able to learn the behavior and habits of home inhabitants in order to actively contribute to anticipating user needs, and preventing emergency situations for his health. By applying machine learning techniques, the system offers a complete, ready-to-use practical application that learns through interaction with the user in order to improve life quality in a technological living environment, such as a house, a smart city and so on. The proposed solution, besides making life more comfortable for users without particular needs, represents an opportunity to provide greater autonomy and safety to disabled and elderly occupants, especially the critically ill ones. The prototype has been developed and is currently running at the Pisa CNR laboratory, where a home environment has been faithfully recreated

Towards an ontology driven approach for systems interoperability and energy management in the smart city

Modern Information and Communication Technologies are definitely a key factor to develop the green and sustainable applications that the so-called “smart city” needs. Effective management of resources, gathering and interpreting data as well as ecological considerations are prerequisites to turn such a vision into reality. The European FP7 project DIMMER address these issues by providing a flexible Internet of Thing platform for application development and data integration, exploiting information about buildings, energy distribution grids and user behaviors. Among those applications, the possibility to real-time access and aggregate information about building environmental characteristics and energy consumption enables the optimization of energy management and control, as well as the user’s awareness about, which is the scope of the DIMMER project. The paper will describe the ontology-driven approach, as well as the actual design, exploited to model the physical world within the context of this project, adding a special emphasis on the state of art research in the field of energy profiling

Integration of heterogeneous data sources and automated reasoning in healthcare and domotic IoT systems

In recent years, IoT technology has radically transformed many crucial industrial and service sectors such as healthcare. The multi-facets heterogeneity of the devices and the collected information provides important opportunities to develop innovative systems and services. However, the ubiquitous presence of data silos and the poor semantic interoperability in the IoT landscape constitute a significant obstacle in the pursuit of this goal. Moreover, achieving actionable knowledge from the collected data requires IoT information sources to be analysed using appropriate artificial intelligence techniques such as automated reasoning. In this thesis work, Semantic Web technologies have been investigated as an approach to address both the data integration and reasoning aspect in modern IoT systems. In particular, the contributions presented in this thesis are the following: (1) the IoT Fitness Ontology, an OWL ontology that has been developed in order to overcome the issue of data silos and enable semantic interoperability in the IoT fitness domain; (2) a Linked Open Data web portal for collecting and sharing IoT health datasets with the research community; (3) a novel methodology for embedding knowledge in rule-defined IoT smart home scenarios; and (4) a knowledge-based IoT home automation system that supports a seamless integration of heterogeneous devices and data sources

Monitoring System Analysis for Evaluating a Building’s Envelope Energy Performance through Estimation of Its Heat Loss Coefficient

The present article investigates the question of building energy monitoring systems used for data collection to estimate the Heat Loss Coefficient (HLC) with existing methods, in order to determine the Thermal Envelope Performance (TEP) of a building. The data requirements of HLC estimation methods are related to commonly used methods for fault detection, calibration, and supervision of energy monitoring systems in buildings. Based on an extended review of experimental tests to estimate the HLC undertaken since 1978, qualitative and quantitative analyses of the Monitoring and Controlling System (MCS) specifications have been carried out. The results show that no Fault Detection and Diagnosis (FDD) methods have been implemented in the reviewed literature. Furthermore, it was not possible to identify a trend of technology type used in sensors, hardware, software, and communication protocols, because a high percentage of the reviewed experimental tests do not specify the model, technical characteristics, or selection criteria of the implemented MCSs. Although most actual Building Automation Systems (BAS) may measure the required parameters, further research is still needed to ensure that these data are accurate enough to rigorously apply HLC estimation methods.This work was supported by: Spanish Economy and Competitiveness Ministry and European Regional Development Fund through the IMMOEN project: "Implementation of automated calibration and multiobjective optimization techniques applied to Building Energy Model simulations by means of monitored buildings". Project reference: ENE2015-65999-C2-2-R (MINECO/FEDER); European Commission through the A2PBEER project "Affordable and Adaptable Public Buildings through Energy Efficient Retrofitting". Grant agreement No.: 609060; Laboratory for the Quality Control of Buildings (LCCE) of the Basque Government; University of the Basque Country (UPV/EHU). Framework agreement: Euro-regional Campus of Excellence within the context of their respective excellence projects, Euskampus and IdEx Bordeaux. Funder reference: PIFBUR 16/26

Domotics, smart homes and Parkinson’s disease

Technology has an increasing presence and role in the management of Parkinson’s disease. Whether embraced or rebuffed by patients and clinicians, this is an undoubtedly growing area. Wearable sensors have received most of the attention so far. This review will focus on technology integrated into the home setting; from fixed sensors to automated appliances, which are able to capture information and have the potential to respond in an unsupervised manner. Domotics also have the potential to provide ‘real world’ context to kinematic data and therapeutic opportunities to tackle challenging motor and non-motor symptoms. Together with wearable technology, domotics have the ability to gather long-term data and record discrete events, changing the model of the cross-sectional outpatient assessment. As clinicians, our ultimate goal is to maximise quality of life, promote autonomy, and personalisation of care. In these respects, domotics may play an essential role in the coming years

Internet of things

This is an introductory course to the IoT (Internet of things). In the early chapters the basics about the IoT are introduced. Then basics of IPv6 internet protocol that is the most used in IoT environment as well as main applications, the current state of the market and the technologies that enable the existence of the IoT are described. Finally the future challenges that are considered most important are discussed.Peer ReviewedPostprint (published version