Artificial database that simulates COVID-19 patients and critical situations to be able to evaluate the BeCalm system performance (https://www.idatis.org/proyecto-becalm/). Generated with https://github.com/BOSCH-UCM/BeCalm

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Raspberry Pi benchmarking dataset monitoring CPU, GPU, memory and storage of the devices. Dataset associated with "LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers" paper

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105 Views

The number of private vehicles is still increasing from year to year. In order to limit environmental damage, a proper way of dealing with this trend is the introduction of intelligent automotive infrastructure. Besides traffic management solutions, smart parking guidance systems are important for reducing unnecessary traffic. For this, a key prerequisite are sensor networks that provide information about the occupancy state of every single parking spot in the parking infrastructure of high traffic targets e.g. nearby an airport or shopping mall.

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250 Views

This data set was generated and used in determining the workability of a homemade Intelligent IoT Weather Station Using an Embedded System.

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148 Views

ReSysTDepth collects trajectories of people in indoor spaces. Each trajectory is composed of a sequence of three-dimensional coordinates that capture the center of mass of people moving in the corridor of a building. It is composed of two datasets:

  • Real Dataset - real data captured by a depth camera (Microsoft Kinect v2).
  • Synthetic dataset - synthetic data generated artificially using splines.

 

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129 Views

Multi-critera for water distribution

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Context awareness is an emerging field in pervasive computing with applications that have started to emerge in medical systems. The present work seeks to determine which contexts are important for medical applications and what various domains of context aware applications exist in healthcare. Methods: A systematic scoping review of context aware medical systems currently being used in healthcare settings was conducted.

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121 Views

Ground Truth of angle determination of DoA positioning

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“DCA-IoMT Dataset” belongs to the research article entitled “DCA-IoMT: Knowledge Graph Embedding-enhanced Deep Collaborative Alerts-recommendation against COVID19 (DOI: 10.1109/TII.2022.3159710)” accepted for publication in the Journal of IEEE Transactions on Industrial Informatics.

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376 Views

This repository shares the dataset of our publication "NR-LOM: LiDAR Odometry and Mapping Integrating 5G New Radio Technology". The raw data contains LiDAR, IMU, GNSS, encoder measurements in rosbag. Besides we also provide raw 5G measurements and real-time 5G positions from a 5G PRS beacon.

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148 Views

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