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Ponencia
Locating sensors with fuzzy logic algorithms
(IEEE Computer Society, 2011)
In a system formed by hundreds of sensors deployed in a huge area it is important to know the position where every sensor is. This information can be obtained using several methods. However, if the number of sensors ...
Ponencia
A Wildfire Prediction Based on Fuzzy Inference System for Wireless Sensor Networks
(Springer, 2011)
The study of forest fires has been traditionally considered as an important application due to the inherent danger that this entails. This phenomenon takes place in hostile regions of difficult access and large areas. ...
Ponencia
Automatic Lesser Kestrel’s Gender Identification using Video Processing
(ScitePress, 2017)
Traditionally, animal surveillance is a common task for biologists. However, this task is often accompanied by the inspection of huge amounts of video. In this sense, this paper proposes an automatic video processing algorithm ...
Ponencia
Intelligent Monitoring System for Bird Behavior Study
(Springer, 2014)
Until now, the best way to obtain relevant information about the behaviour of animals is capturing them. However, the procedure to capture individuals cause them stress and introduces an effect on the measurement that can ...
Ponencia
Localization method for low power consumption systems
(IEEE Computer Society, 2011)
Locating nodes is a fundamental problem in wireless networks with hundreds of devices deployed in a wide area. This is especially relevant for mobile nodes. Wireless sensor nodes are usually powered by small batteries, ...
Ponencia
Computational Intelligence Applied to Monitor Bird Behaviour
(ScitePress Digital Library, 2012)
The best way to obtain relevant information about the behaviour of animals is direct observation (of individuals). However, traditional close-up observations can interfere on the behaviour, and taking biometric measurements ...
Ponencia
Computational intelligence applied to wildfire prediction using wireless sensor networks
(IEEE Computer Society, 2011)
In this paper we present a novel algorithm, implemented in a wireless sensor network environment, for the study of fire in a natural environment. This algorithm can offer two kinds of information: the risk of a fire and, ...