IoT
A shortage of beds and cross-infection in hospitals due to patient crowding and overloading during the COVID-19 pandemic necessitate the use of telemedicine over face-to-face treatment. This study used statistical analysis to evaluate the impact of treatment choice among hospitals, patients, and the government to encourage them to employ telemedicine to avoid overload risk in the IoT environment during the pandemic by analyzing data from Tongji Hospital of Wuhan, China from January to September 2020.
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757 Views
The script "numericalExample.m" obtains per-source average AoI and per-source age violation probabilities for First Source First Serve (FSFS), Earliest Served First Serve (ESFS) and Single Buffer with Replacement (SBR) policies for N sources using analytical models based on Markov Fluid Queues (MFQ). It is also possible to obtain the exact per-source CDF using this script. To do so, only the input parameters of used functions, namely "FSFS.m", "ESFS.m" and "SBR.m", in this script should be modified accordingly.
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808 Views
We consider a
large location with M number of grid points, each grid point is labeled with a unique fingerprint consisting of the received signal
strength (RSS) values measured from N number of Bluetooth Low Energy (BLE) beacons. Given the fingerprint observed by the
smartphone, the user’s current location can be estimated by finding the top-k similar fingerprints from the list of fingerprints registered
in the database.
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442 Views
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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371 Views
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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294 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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896 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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521 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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55 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