Sensors

In the view of national security, radar micro-Doppler (m-D) signatures-based recognition of suspicious human activities becomes significant. In connection to this, early detection and warning of terrorist activities at the country borders, protected/secured/guarded places and civilian violent protests is mandatory.

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Human arm motion data including forearm, upper-arm, and scapula link IMU modules beside SLAM reference position measurements compared to VICON as ground trouth.

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Human activity wearable obstacle detection for the visually impaired (VI) is developed for routine monitoring and observation of surrounding events. Environmental observation, home surveillance, and assistive supports are now built on wearable devices using Inertia-based sensors, such as accelerometers, linear acceleration, and gyroscopes. Previous assisted living system (ALS) still faces challenges in energy management and resource allocation when performing daily activities, particularly with ambulation. Legacy systems cannot fully improve self-esteem, hence, WearROBOT.

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Dataset reflects a single household (home) power profile related to the grid. Households include typical appliances, two air-to-air heat pumps, a 3-phase 18 kW through-flow water heater, 6 kW solar panels and a 2,5 kW charger for the electric car.

For five-month (mid-April-mid August) in 2022, every 0.2 sec took each 3-phase voltage, and current measurement, power and harmonics (up to 15th) were calculated for power profile registration.

Positive value reflects energy flow from the grid to a household, and negative values not used at household energy flow to the grid.

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Presented are the target lists of a total of 8718 measurement frames produced by three (3) radar sensors, matched together with the IMU+GNSS-RTK solution for position and motion of two (2) automobiles. The sensors are synced in respect to their measurement times, but operate independently. Their modulation is offset by a certain frequency, to ensure mono-static evaluation. This allows for a cooperative evaluation of measurements. The sensor positions are static.

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Various experimental data of automated drilling system

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This supporting document presents additional information related to the journal article entitled "Screen-Printed Microcantilevers Coated with Functionalized Mesocellular Foam Silica for Detection of Solvent Vapors". It contains explanations and pictures of the set-up experiments for studying the microcantilever behaviors under different temperatures and solvent vapors.

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The abstract will be written once the manuscript is accepted.

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Access to potable water is a critical requirement for human survival. Beyond drinking, water is also necessary for animal consumption, irrigation, as well as domestic and commercial uses. Laboratory assessments of water samples to determine their fitness for use is a vital step in water quality assurance processes. However, laboratory assessments require adherence to stringent measures, which might be difficult to comply with.

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This article presents the details of the Cardinal RF (CardRF) dataset. CardRF is acquired to foster research in RF- based UAV detection and identification or RF fingerprinting. RF signals were collected from UAV controllers, UAV, Bluetooth, and Wi-Fi devices. Signals are collected at both visual line-of-sight and beyond-line-of-sight. The assumptions and procedure for the data acquisition are presented. A detailed explanation of how the data can be utilized is discussed. CardRF is over 65 GB in storage memory.

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