Sensors

This dataset contains actual field/experimental data for the following environmental engineering applications, namely:

• Concentration data generated from filtration systems which treat influents, having contaminant materials, via adsorption process.
• Streamflow height data collated for 50 states/cities in America for the historical period between 1900-2018.

We design a solution to achieve coordinated localization between two unmanned aerial vehicles (UAVs) using radio and camera perception. We achieve the localization between the UAVs in the context of solving the problem of UAV Global Positioning System (GPS) failure or its unavailability. Our approach allows one UAV with a functional GPS unit to coordinate the localization of another UAV with a compromised or missing GPS system. Our solution for localization uses a sensor fusion and coordinated wireless communication approach.

Computer vision and image processing have made significant progress in many real-world applications, including environmental monitoring and protection. Recent studies have shown that computer vision and image processing can be used to quantify water turbidity, a crucial physical parameter in water quality assessment. This paper presents a procedure to determine water turbidity using deep learning methods, specifically, convolutional neural network (CNN). At first, water samples were located inside a dark cabin before digital images of the samples were captured with a smartphone camera.

Automotive millimeter wave Frequency Modulated Continuous Wave radars are finding widespread use in various fields. At times, the hardware specifications of commercial-off-the-shelf products prohibit the use of these products for other diverse radar measurements. More often, velocity ambiguity results when an attempt is made to measure the velocity of a high-speed target with a radar that is not designed for that purpose in the first place.