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  • Desenho e implementação de protótipo para deteção de contentores de resíduos em cidades inteligentes
    Publication . Valente, Miguel; Silva, Hélio; Caldeira, J.M.L.P.; Soares, V.N.G.J.; Gaspar, Pedro Dinis
    Este trabalho apresenta o desenho e implementação de um protótipo funcional para avaliar e validar a utilização de técnicas de visão computacional, na identificação de contentores de resíduos no contexto de uma cidade inteli- gente. Este protótipo recorre à utilização de uma rede neuronal convolucional YOLO e de um microcomputador Jetson Nano da Nvidia. Comparativamente ao método atual de identificação de contentores de resíduos por radiofrequência, esta abordagem é mais ágil e diminui os recursos necessários para implementa- ção, contribuindo para poupar nos gastos logísticos e de implementação da gestão inteligente de resíduos.
  • A new wireless biosensor for intra-vaginal temperature monitoring
    Publication . Caldeira, J.M.L.P.; Rodrigues, Joel; Garcia, João F.R.; Torre, Isabel de la
    Wireless Body Sensors for medical purposes offer valuable contributions to improve patients’ healthcare, including diagnosis and/or therapeutics monitoring. Body temperature is a crucial parameter in healthcare diagnosis. In gynecology and obstetrics it is measured at the skin’s surface, which is very influenced by the environment. This paper proposes a new intra-body sensor for long-term intra-vaginal temperature collection. The embedded IEEE 802.15.4 communication module allows the integration of this sensor in a Wireless Sensor Network (WSN) for remote data access and monitoring. We present the sensor architecture, the construction of the corresponding testbed, and its performance evaluation. This sensor may be used in different medical applications, including preterm labor prevention and fertility and ovulation period detection. The features of the constructed testbed were validated in laboratory tests verifying its accuracy and performance.
  • iSensA: a system for collecting and integrating sensor data
    Publication . Caldeira, J.M.L.P.; Soares, V.N.G.J.; Gaspar, Pedro Dinis; Rodrigues, Joel; Fontes, Ricardo Manuel Valentim; Silva, José Luís Lima
    The idea of monitoring several types of parameters in various environments has been motivating significant research works in Internet of Things (IoT). This paper presents the design and construction of iSensA, a system for integrating and collecting information from sensors. The solution implements a multi-sensor monitoring system and then expands the monitoring concept to an IoT solution, by employing multi-network access, Web services, database and web and mobile applications for user interaction. iSensA system is highly configurable, enabling several monitoring solutions with different types of sensors. Experiments have been performed on real application scenarios to validate and evaluate our proposition.
  • MobiSensA: development of a mobile APP for iSensA platform
    Publication . Silva, José Luís Lima; Fontes, Ricardo Manuel Valentim; Gaspar, Pedro Dinis; Caldeira, J.M.L.P.; Soares, V.N.G.J.
    iSensA is a smart data acquisition system and Web platform for monitoring and analyzing real-time data of environments and devices in a wide range of areas. The Web platform allows centralized management of facilities, as well as real-time data visualization, historical analysis, alarm configuration and periodic reporting. To facilitate facility monitoring and event notification (anomalies and alerts), there is a need to develop an Android mobile application for the iSensA product, whose development process is presented in this paper.
  • Técnicas de visão computacional para a deteção de contentores de resíduos
    Publication . Valente, Miguel; Silva, Hélio; Caldeira, J.M.L.P.; Soares, V.N.G.J.; Gaspar, Pedro D.
    O trabalho apresentado neste artigo resulta de uma investigação preliminar que visa a utilização de técnicas de visão computacional para substituir o método atual de identificação de contentores de resíduos via identificação por radiofrequência. Comparativamente ao método atual, esta abordagem é mais ágil e diminui os recursos necessários para implementação. A abordagem aqui discutida é centrada no uso de redes neuronais convolucionais, especificamente a rede YOLO. Utilizando este método de identificação foi atingido uma precisão de deteção e classificação de 92% dos contentores de resíduos.
  • Technological modernization and innovation of traditional agri‐food companies based on ICT solution: the portuguese case study
    Publication . Gaspar, Pedro Dinis; Soares, V.N.G.J.; Caldeira, J.M.L.P; Andrade, L.P.; Soares, Cláudia Domingues
    This paper assesses the potential for technological modernization and innovation based on Information and Communication Technologies (ICT) in traditional agri‐ food companies located in the central region of Portugal. A survey was applied to 50 agri‐food companies of cereals, cheese, olive oil, dry sausages, honey, wine, and horticultural sectors. Results analysis show that companies use computers, have in‐ ternet service, and use social networks for business purposes. However, most of it have no webpage, do not use internet for advertising/selling/buying products, and have not promoted collaborators’ ICT training. Companies expect webpages to im‐ prove their productivity and/or marketing products/services. Recommendations were provided to promote the use of ICT for business purposes. Webpages, Facebook pages, and CRM systems were developed to a limited set of companies. The results of the satisfaction survey of the ICT solution confirm the company sales increase due to the web visibility gained by the company products.
  • Core-body temperature acquisition tools for long-term monitoring and analysis
    Publication . Caldeira, J.M.L.P.; Moutinho, José Fonseca; Rodrigues, Joel; Gilg, Marc; Lorenz, Pascal
    The detection of fertile and ovulation periods may be performed by women’s body temperature variations. These variations are more accurate if a core-body temperature for their detection is used. Previous medical studies concluded that the use of skin temperature could be influenced by environmental conditions. Since the increasing of the body temperature in this period is only about 0.5 ºC, it is crucial that measurements should be the most accurate as possible. Due to the lack of solutions to realize that in order to measure and analyze the core-body temperature, this paper presents a system to capture, display, and monitoring core-body temperature. It is considered a hardware solution (sensor) to be placed inside cervix and a computer application to communicate and gather the collected data by the sensor. Bluetooth is used to perform the communication between a computer and the sensor. The system evaluation is performed by a medical team in several volunteer women. Furthermore, the collected data by the sensor may be used to study the relation between temperature variations and women health conditions.
  • Body sensor network mobile solutions for biofeedback monitoring
    Publication . Pereira, Orlando; Caldeira, J.M.L.P.; Rodrigues, Joel
    Body sensor networks (BSN) appeared as an application of Wireless Sensor Networks (WSN) to medicine and biofeedback. Such networks feature smart sensors (biosensors) that capture bio-physiological parameters from people and can offer an easy way for data collection. BSNs also need suitable interfaces for data processing, presentation, and storage for latter retrieval. As a result, Bluetooth technology can be used to communicate with several more powerful and graphical user interface (GUI)-enabled devices such as mobile phones or regular computers. Taking into account that people currently use mobile and smart phones, it offers a good opportunity to propose a suitable mobile system for BSN networks. This paper presents a BSN mobile solution for biofeedback monitoring using the four major smart phone platforms: Symbian, Windows Mobile, Android, and iPhone. As case study, a sensing health with intelligence modularity, mobility and experimental reusability (SHIMMER) platform with a core-body temperature sensor enabled to construct the BSN was used. The four mobile applications were evaluated and validated, and are ready for use.
  • Protótipo para deteção de contentores de resíduos com recurso a técnicas de visão computacional
    Publication . Valente, Miguel; Silva, Hélio; Caldeira, J.M.L.P.; Soares, V.N.G.J.; Gaspar, Pedro Dinis
    Este artigo apresenta o desenho e implementação de um protótipo fun- cional para avaliar e validar a utilização de técnicas de visão computacional, na identificação de contentores de resíduos no contexto de uma cidade inteligente. Este protótipo recorre à utilização de uma rede neuronal convolucional YOLO e de um microcomputador Jetson Nano da Nvidia. Comparativamente ao método atual de identificação de contentores de resíduos por radiofrequência, esta abor- dagem é mais ágil e diminui os recursos necessários para implementação, contri- buindo para poupar nos gastos logísticos e de implementação da gestão inteli- gente de resíduos.
  • Wireless body sensor design for intra-vaginal temperature monitoring
    Publication . Garcia, João F.R.; Caldeira, J.M.L.P.; Rodrigues, Joel
    Sensor nodes are small devices able to collect and retrieve sensorial data. The use of these sensors for medical purposes offers valuable contributions to improve patients’ healthcare, both for diagnosis and therapeutics monitoring. An important and common parameter used on healthcare diagnosis is the body temperature. It is monitored on several matters related with gynecological and obstetrics issues but, usually it is measure at the skin surface. Then, this paper proposes the design concepts of a new intra-body sensor for long-term intra-vaginal temperature collection. The embedded IEEE 802.15.4 communication module allows the integration of this sensor in wireless sensor networks for remote data access and monitoring. It is presented the sensor architecture, the construction of the corresponding testbed, and its performance evaluation. This sensor may be used on several applications, including fertile and ovulation period detection, and preterm labor prevention.