Sensors
This dataset contains deep-sea measured sound velocity profile (SVP) data, which was used in a hybrid experiment that integrates both real-world measurements and simulations for ultra-short baseline (USBL) acoustic positioning. The dataset supports research on underwater acoustic propagation, sound ray tracing, and positioning accuracy improvements. By utilizing actual deep-sea SVP data, the hybrid experimental approach enhances the realism and reliability of USBL performance evaluation.
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11 Views
The incorporation of Internet of Things (IoT) technology with agriculture has transformed several farming practices, bringing unparalleled simplicity and efficiency. This article explores the robust integration of IoT and blockchain technology(BIoT) in agricultural operations, offering insight into the resulting BIoT system’s design. This study investigates the potential benefits of merging the IoT and blockchain technologies in agriculture. A system for tracking plant growth using sensors and blockchain-integrated IoT has been developed and analyzed.
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92 Views
A collection of Python pickles objects containing a Pandas DataFrame. Each Dataframe corresponds to the postprocessed firing rate (fr) in Hz and mean amplitude of the spikes (AMP) in microV/s of the vagus nerve recordings obtained from 12 adult female Sprague-Dawley rats. Additionally, the blood-glucose level in mg/dL is included. The fr and AMP signals have 0.1 miliseconds of resolution, whereas the glucose level was measured approximately every 5 minutes. Temporal variations are due to experimental factors. The number of available glucose samples changes across recordings.
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31 Views
This paper proposes a novel Recursive Convolutional Target Detector (RCTD) for Frequency-Modulated Continuous-Wave (FMCW) radar in complex automotive scenarios. Leveraging a lightweight convolutional neural network, RCTD efficiently localizes multiple targets despite strong interference. Detailed simulations and a hardware prototype on an FPGA-based deep learning processor demonstrate real-time feasibility, low false alarm rates, and higher detection accuracy under stringent resource constraints.
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27 Views
Comprehensive dataset (5000 spectra) of simulated grating biosensor reflections in Excel format. Generated via Lumerical FDTD, it includes 11 parameters (thickness, RI, peak wavelength, FWHM, reflectance, etc.). It is ideal for data visualization, sensor response exploration, and AI/ML benchmarking. The full dataset in Excel format is coming soon! Follow this repository to be notified when it's released. In the meantime, feel free to browse the README for more information about the project.
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300 Views
This dataset provides 6D magnetic localization data for surgical instrument tracking, focusing on position and orientation estimation in minimally invasive procedures. It includes various trajectory experiments such as square, circular, saddle-shaped, and helical paths, along with simulated minimally invasive knee surgery and needle sampling experiments. Additionally, it contains dynamic error correction verification data. Data is collected using 16 LIS3MDL magnetometers at 300 Hz, offering both raw and filtered data for algorithm validation.
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37 Views
The experiments were conducted at RAICo Lab in West Cumbria. The data were real-time data collected during experiments to validate the CAP system. The underwater robot moves autonomously along three different paths, while the surface robot follows the underwater robot's movement simultaneously. The uploaded file consists of nine data sets. Three experiments were conducted for each trajectory, resulting in a total of nine datasets. The nine subsets are: Lawnmower1-3, Random1-3, and Square1-3.
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191 Views
This dataset comprises Channel State Information (CSI) data collected from WiFi signals in six indoor environments, specifically designed for research in indoor intrusion detection. The dataset captures fine-grained variations in wireless signals caused by human, which are indicative of potential intrusions. CSI data, extracted from commercial WiFi chipsets, provides detailed amplitude and phase information across subcarriers, enabling robust detection of subtle environmental changes.
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89 Views
This dataset contains the raw data acquired by a wearable, graphene-PbS quantum dot photodetector platform for smart contact lenses under indoor light illumination by a Philips Hue GU10 bulb at colour temperature settings of 2200K, 4000K and 6500K and illuminance of 100 lux. In addition, it also contains S-11 magnitude data acquired on a PocketVNA from near field communication coils designed for wireless power and data transmission for this contact lens platform.
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19 Views
One of the leading causes of early health detriment is the increasing levels of air pollution in major cities and eventually in indoor spaces. Monitoring the air quality effectively in closed spaces like educational institutes and hospitals can improve both the health and the life quality of the occupants. In this paper, we propose an efficient Indoor Air Quality (IAQ) monitoring and management system, which uses a combination of cutting-edge technologies to monitor and predict major air pollutants like CO2, PM2.5, TVOCs, and other factors like temperature and humidity.
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271 Views