Sensors

In this brief, the extraction of frequency responses of a magnetic levitated open-loop unstable plant operating in a closed-loop, employing the Empirical Transfer Function Estimate (ETFE) approach is presented. Frequency responses of the closed-loop transfer function, loop-gain, and the plant are obtained by injection of an eigenfrequency-rich excitation signal. Consequently, measuring the levitated beam’s displacement between a pair of electromagnets.

This dataset corresponds to the measurements of two microstrip patch antennas, collected using the facility described in [1]. The available measurements contained within the dataset allow a complete characterization of the field radiated by these antennas. These fields can be introduced in enhanced microwave imaging algorithms that consider the field radiated by the transmitting and receiving antennas of the microwave imaging system [2] (modified Delay and Sum algorithm), [3] (modified Phase Shift Migration imaging algorithm).

This dataset contains electromagnetic field (EMF) intensity measurements recorded at half-hour intervals. The dataset spans a continuous timeline, capturing variations in electric field strength in volts per meter (V/m). It serves as a valuable resource for environmental monitoring, predictive modeling, and studying the impacts of EMF exposure. Applications include urban planning, public health assessments, and advanced regression or machine learning modeling.

This dataset contains information gathered from an experiment in which loads were applied at nine specific locations on a multimode fiber (MMF). The data captures the system's response to these loads, providing valuable insights into the fiber's behavior under different stress conditions. Each load was designed to be random in magnitude and duration, ensuring a diverse range of effects on the MMF. The dataset records key parameters such as the applied force, the locations of the loads, and the corresponding changes in the fiber's properties.