A cluster comprises a group of interconnected servers (aka nodes) across multiple racks, connected via Ethernet and increasingly via optical links, and is ideal for workloads that are so large and ...
Abstract: Accurate node localization in Wireless Sensor Networks (WSNs) is crucial for applications like environmental monitoring and military surveillance. Traditional localization methods, such as ...
This repo contains a full visual-inertial mapping and localization stack. It covers the online estimator, the sensor-side runtime code needed to feed it clean data, and the offline tools used to log ...
The neural activity and functional networks of emotion-based cognitive reappraisal have been widely investigated using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI).
Infrasound data are routinely used to detect and locate volcanic and other explosions, using both arrays and single sensor networks. However, at local distances (<15 km) topography often complicates ...
ABSTRACT: The computational capabilities of off-the-shelf wireless sensors networks presents a limitation when more complex forms of localization algorithms are employed for location estimation ...
LoRa and LoRaWAN are quickly drawing global attention as a low-power wide area network (LPWAN) alternative to technologies like Sigfox, and gateways are springing up around the world. To the ...
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