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Projeto de investigação
Centro de Investigação em Informática e Comunicações
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Autores
Publicações
Real-Time Low-Cost Active and Assisted Living for the Elderly
Publication . Almeida, António Henrique; Santos, Ivo; Rodrigues, Joel; Frazão, Luis; Ribeiro, José; Silva, Fernando; Pereira, António
The aging of population in recent years and the increase in life expectancy is raising challenges for finding new ways to guarantee healthy and controlled activities for the elderly. Most of them prefer living in their houses than in a community center, even if they live alone or isolated from their family; at home, their normal routine activities and comfort makes them feel well. In this paper, an Active and Assisted Living (AAL) solution to detect irregular situations in everyday life of the elderly living alone is presented. By using low-cost sensors in an Internet of Things (IoT) architecture we aim to gather data in specific areas of an elderly’s house in order to give the system enough input to detect abnormal behavior. These sensors are non-intrusive to the elderly, do not disturb them, and do not force them to wear a device at all times. These sensors can also send information to edge computing devices that analyze the data in real time using machine learning algorithms and alert family or caretakers when an unusual situation arises. The proposed solution provides a system that monitors the main activities performed by the elderly and creates patterns based on that activity to achieve its results and is scalable in terms of sensors and data input.
Solving the Regenerator Location Problem using bioinspired algorithms
Publication . Pessoa, Rodrigo; Ferreira, Pedro Henrique; Bernardino, Anabela; Bernardino, Eugénia; Piedade, Maria Beatriz Guerra da
Nas redes óticas, a força de um sinal ótico deteriora-se à medida que fica mais longe da fonte, devido a deficiências de transmissão na fibra. Ou seja, a distância a que um sinal ótico pode ser enviado sem perder ou deteriorar a informação é limitada. É por isso necessário regenerar os sinais periodicamente, utilizando regeneradores. Dada uma rede ótica, o problema da localização de regeneradores procura que o subconjunto de regeneradores seja instalado a um custo mínimo, de modo a que cada par de nós possa comunicar entre si. Neste artigo são aplicados algoritmos baseadosna natureza para resolver este problema. Foram testadas 480instâncias diferentes para cada um dos algoritmos e os resultados comprovam a sua eficiência em termos de tempo e qualidade das soluções.
Body Area Networks in Healthcare: A Brief State of the Art
Publication . Roda-Sanchez, Luis; Olivares, Teresa; Fernández-Caballero, Antonio; Vera, Daniel; Costa, Nuno; Pereira, António Manuel de Jesus
A body area network (BAN) comprises a set of devices that sense their surroundings, activate and communicate with each other when an event is detected in its environment. Although BAN technology was developed more than 20 years ago, in recent years, its popularity has greatly increased. The reason is the availability of smaller and more powerful devices, more efficient communication protocols and improved duration of portable batteries. BANs are applied in many fields, healthcare being one of the most important through gathering information about patients and their surroundings. A continuous stream of information may help physicians with making well-informed decisions about a patient's treatment. Based on recent literature, the authors review BAN architectures, network topologies, energy sources, sensor types, applications, as well as their main challenges. In addition, the paper focuses on the principal requirements of safety, security, and sustainability. In addition, future research and improvements are discussed. © 2019 by the authors
Solving the Regenerator Location Problem using Swarm Intelligence Algorithms
Publication . Ferreira, Pedro; Pessoa, Rodrigo; Bernardino, Anabela; Bernardino, Eugénia; Piedade, Maria Beatriz; Goncalves, Alexandrino
In optical networks, due to deficiencies in the fibre (attenuation, dispersion, conversion)the signal strength deteriorates as it gets further away from its source. For that reason, the distance that a signal can travel without losing or corrupting information is limited. Therefore, it is necessary to regenerate the signals periodically using regenerators. Given an optical network, the regenerator location problem tries to install a subset of regenerators with the minimum possible cost, in a way that each pair of nodes can communicate with each other. In this paper, two swarm optimisation algorithms: Ant Colony Optimisation and Bees Algorithm are used to solve this problem. We compare our results with other algorithms used in literature to solve the same problem. Simulation results obtained using 480 different instances prove their efficiency in solving the regenerator location problem.
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Financiadores
Entidade financiadora
Fundação para a Ciência e a Tecnologia, I.P.
Programa de financiamento
Financiamento do Plano Estratégico de Unidades de I&D - 2019
Número da atribuição
UID/CEC/04524/2019