Acoustic feature-based leakage event detection in near real-time for large-scale water distribution networks

Feature Selection for Multimodal Acoustic Event Detection

Real-world acoustic event detection

Acoustic Event Detection (AED) aims to identify both timestamps and types of events in an audio stream. This becomes very challenging when going beyond restricted highlight events and well controlled recordings. We propose extracting discriminative features for AED using a boosting approach, which outperform classical speech perceptual features, such as Mel-frequency Cepstral Coefficients and l...

Feature extraction strategies in deep learning based acoustic event detection

Non-speech acoustic events are significantly different between them, and usually require access to detail rich features. That is why directly modeling a real spectrogram can provide a significant advantage, instead of using predefined features that usually compress and downsample detail as typically done in speech recognition. This paper focuses on the importance of feature extraction for deep ...

Real-time monitoring of water distribution networks

Water losses associated with inefficiencies in the underground water distribution system are not only causing revenue losses for the local water boards but also significantly negatively affect a country’s national water reserves. Even though assisting in defining the problem and in devising remediation strategies for it, posterior analysis of the causes of such inefficiencies are far from being...

LPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring

Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...