IoT
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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525 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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295 Views
Multi-critera for water distribution
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56 Views
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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334 Views
Ground Truth of angle determination of DoA positioning
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70 Views
“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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1486 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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272 Views
This dataset was created by gathering "attack stories" related to IoT devices from the cybersecurity news site Threatpost. Because there aren't many databases of IoT vulnerabilities, we used Threatpost as an index to recent vulnerabilities, which we then researched using a variety of sources, like academic papers, blog posts, code repositories, CVE entries, government and vendor advisories, product release notes, and whitepapers.
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610 Views
A reasonable approach to cope with increasing car traffic is the application of large-scale car traffic management solutions. Dense and widely applied car traffic monitoring is an important key prerequisite for this.
Established solutions like e.g. induction loops, video-camera-based systems, or radar, do not suit all the needs with regard to installation effort, privacy, and cost efficiency.
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923 Views
This LoRa-RFFI project builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techniques. The RF signals are collected from 60 commercial-off-the-shelf LoRa devices. The packet preamble part and device labels are provided. The dataset consists of 19 sub-datasets and please refer to the README document for more detailed collection settings for all the sub-datasets.
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8808 Views