Sensors

TEP

TE benchmark has been widely used to evaluate process monitoring performance, which is mainly composed of multiple operation units including continuous stirred tank reactor, condenser, gas-liquid separation tower, stripper, reboiler and centrifugal compressor.

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The dataset for the vehicles collusion detection in internet of vehicles is generated from internet of vehicles enviornment using VSSIM. The detail procedure of the data collection and the preprocessing procedure can be found in the publihsed paper - https://doi.org/10.1016/j.eswa.2022.119033.

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20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle.

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Two-dimensional (2D) materials have layered structure with unique properties. One of the properties of interest is the temperature coefficient of resistance (TCR) which should be large for fast thermal sensors. The TCR is the calculation of the relative change in resistance per degree of temperature change. Taking a step further, tunable TCR is a concept that involves the control of TCR by the gate voltage. Here we have shown that in a field effect transistor device, the 2D semiconductor material WSe2 has a TCR, which can be controlled by varying the applied gate voltage.

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Radar-based dynamic gesture recognition has a broad prospect in the field of touchless Human-Computer Interaction (HCI) due to its advantages in many aspects such as privacy protection and all-day working. Due to the lack of complete motion direction information, it is difficult to implement existing radar gesture datasets or methods for motion direction sensitive gesture recognition and cross-domain (different users, locations, environments, etc.) recognition tasks.

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Human activity data collected by a 5.8GHz radar system

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Four activities CSI Data Set

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Please cite the following paper when using this dataset:

N. Thakur, “A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave,” Journal of Data, vol. 7, no. 8, p. 109, Aug. 2022, doi: 10.3390/data7080109

Abstract

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This repository shares some simultaneous localization and mapping (SLAM) datasets and detection datasets for railroad application.  In the first stage, we decide to realease some LiDAR, visual, IMU sequence for freight-traffic railways. The ground truth cannot be provided due to safety regulations. Please infer https://github.com/YushengWHU/Railroad-dataset  for detailed information.

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