Towards Collective Awareness Systems

Camarinha-Matos, Luís M.; Goes, J.; Gomes, Luís; Martins, J. F.

doi:10.1007/978-3-642-54734-8_1

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…To guarantee reproducibility of the homemade specimens, the impedance behavior of the bimorph piezoelectric actuator has been measured as the footprint of the harvester. The PZT harvester has been electrically connected in a serial configuration, since this setting generates larger voltage figures compared with the parallel electrical configuration [29,30]. Electrically, a series refers to the case where the supply voltage is applied across all PZT beam layers at once.…”

Section: Harvester Design and Preparationmentioning

confidence: 99%

On Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and Measurable Properties

Pérez-Alfaro

Gil-Hernandez

Murillo

et al. 2022

Sensors

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Piezoelectric harvesters use the actuation potential of the piezoelectric material to transform mechanical and vibrational energies into electrical power, scavenging energy from their environment. Few research has been focused on the development and understanding of the piezoelectric harvesters from the material themselves and the real piezoelectric and mechanical properties of the harvester. In the present work, the authors propose a behavior real model based on the experimentally measured electromechanical parameters of a homemade PZT bimorph harvester with the aim to predict its Vrms output. To adjust the harvester behavior, an iterative customized algorithm has been developed in order to adapt the electromechanical coupling coefficient, finding the relationship between the harvester actuator and generator behavior. It has been demonstrated that the harvester adapts its elongation and its piezoelectric coefficients combining the effect of the applied mechanical strain and the electrical behavior as a more realistic behavior due to the electromechanical nature of the material. The complex rms voltage output of the homemade bimorph harvester in the frequency domain has been successfully reproduced by the proposed model. The Behavior Real Model, BRM, developed could become a powerful tool for the design and manufacturing of a piezoelectric harvester based on its customized dimensions, configuration, and the piezoelectric properties of the smart materials.

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Section: Harvester Design and Preparationmentioning

confidence: 99%

On Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and Measurable Properties

Pérez-Alfaro

Gil-Hernandez

Murillo

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

Reference Model for Smart x Sensing Manufacturing Collaborative Networks - Formalization Using Unified Modeling Language

Chavarría-Barrientos

Espinosa

Batres

et al. 2015

Risks and Resilience of Collaborative Networks

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An approach to agile management of virtual student teams in smart environment development

Mihajlović-Milićević

Radenković

Лабус

et al. 2022

Interactive Learning Environments

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This paper studies the problem of coordination and supervision of virtual teams and their capabilities. The goal is to develop a model suitable for managing virtual student teams specialized in the development of smart environments. The developed model is based on SAFe and DevOps, which when combined provide us with a framework for the evaluation of team capabilities in an academic environment. Additionally, DevOps principles can be more efficiently leveraged through an agile methodology to provide students with a better understanding of continuous value delivery. Through the application of the proposed model, virtual student teams gained practical experience in self-organization and virtual team management while being efficiently monitored and guided through the project lifecycle. Virtual student teams were likewise encouraged to be more agile, as this change in mindset is imperative in business, and as such must also be adopted in academic environments. By incorporating best practices of the corporate environments into the existing curriculum, we have proven that by adopting the proposed model these changes can be feasibly incorporated to the satisfaction of both the students and their future employers.

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Towards Collective Awareness Systems

Cited by 3 publications

References 11 publications

On Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and Measurable Properties

On Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and Measurable Properties

Reference Model for Smart x Sensing Manufacturing Collaborative Networks - Formalization Using Unified Modeling Language

An approach to agile management of virtual student teams in smart environment development

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