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Your search keyword '"Dinarte Vasconcelos"' showing total 2 results
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2 results on '"Dinarte Vasconcelos"'

1. A Low-Cost Multi-Purpose IoT Sensor for Biologging and Soundscape Activities

Author

Dinarte Vasconcelos and Nuno Jardim Nunes

Subjects
multipurpose sensor, biodiversity monitoring, optical detection, acoustic capability, LoRa technology, embedded systems, Chemical technology, TP1-1185
Abstract

The rapid expansion in miniaturization, usability, energy efficiency, and affordability of Internet of Things (IoT) sensors, integrated with innovations in smart capability, is greatly increasing opportunities in ground-level monitoring of ecosystems at a specific scale using sensor grids. Surrounding sound is a powerful data source for investigating urban and non-urban ecosystem health, and researchers commonly use robust but expensive passive sensors as monitoring equipment to capture it. This paper comprehensively describes the hardware behind our low-cost, small multipurpose prototype, capable of monitoring different environments (e.g., remote locations) with onboard processing power. The device consists of a printed circuit board, microprocessor, local memory, environmental sensor, microphones, optical sensors and LoRa (Long Range) communication systems. The device was successfully used in different use cases, from monitoring mosquitoes enhanced with optical sensors to ocean activities using a hydrophone.

Published
2022
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2. LOCOMOBIS: A low-cost acoustic-based sensing system to monitor and classify mosquitoes

Author

Miguel Ribeiro, Nuno Jardim Nunes, Dinarte Vasconcelos, Alex Rogers, Catia Prandi, Vasconcelos, Dinarte, Nunes, Nuno, Ribeiro, Miguel, Prandi, Catia, and Rogers, Alex

Subjects
0303 health sciences, Computer science, business.industry, Computer Networks and Communications, Ecology (disciplines), 030231 tropical medicine, Environmental resource management, Biodiversity monitoring, medicine.disease, Acoustic sensing, Dengue fever, 03 medical and health sciences, Mosquito control, 0302 clinical medicine, Vector (epidemiology), parasitic diseases, medicine, Electrical and Electronic Engineering, business, Sensing system, Entomology, Malaria, 030304 developmental biology
Abstract

Mosquitoes are considered one of the more severe worldwide health hazards. Their populations vary heterogeneously in urban and rural landscapes, and fluctuate with seasonal or climatic trends and human activities. Thus, frequent widespread high-resolution surveillance of mosquitoes is essential for both understanding their complex ecology and behavior, and also predicting disease risk and formulating effective control strategies against mosquito-borne diseases such as malaria, dengue and Zika. To this end, in this paper, we present LOCOMOBIS, a LOw-COst MOsquito BIoacoustic Sensor where the wingbeat sounds produced by mosquitoes in flapping-wing flight are used to identify different species automatically. The sensor has been deployed and tested in a real field deployment and our results demonstrate the practical feasibility of this low-cost nonintrusive approach for monitoring mosquitoes in places requiring vector monitoring aimed at mosquito control or eradication. Moreover, to make the system more ubiquitous and easy to interact with, we implemented a web-based application where it is possible to check the collected data and the automatic species and gender classification.

Published
2019

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