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This data was recorded for emg based force/Torque estimation. EMG and torque signals were collected during simultaneous, isometric, but continuously varying contractions, corresponding to two wrist DoF. The experiment was carried out in two trials with a 5-min rest in between. Each trial included six combinations of tasks, separated by 2 min of rest to minimize the effect of fatigue. The performed tasks were categorized into individual and combined (simultaneous) DoF to test the ability to estimate isolated torque and torque in two simultaneous DoF.
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In the attached dataset, a continuous record of 2493 chirp-sequence FMCW radar burst is presented. The data consist of the direct ADC output of an AWR1443BOOST radar board from Texas Instruments during 47.37 s of continuous operation. During this time, two FMCW radars of the model AWR1642BOOST were continuously transmitting sweeps with its main lobe aimed towards the first radar. This produces the apparition of two different uncorrelated interferences at the victim radar side, which can be seen on different indexes of the provided capture.
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Data and code associated with the submitted paper "A Kinematic Model to Predict a Continuous Range of Human-like Walking Speed Transitions" by Greggory F. Murray and Anne E. Martin.
This submission contains the experimental kinematic data for the speed transitions and the code needed to analyze and model the transitions.
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We provide a dataset with IQ signals captured from multiple Sub-GHz technologies. Specifically, the dataset targets wireless technology recognition (machine learning) algorithms for enabling cognitive wireless networks. The Sub-GHz technologies include Sigfox, LoRA, IEEE 802.15.4g, IEEE 802.15.4 SUN-OFDM and IEEE 802.11ah. Additionally, we added a noise signal class for allowing detection of signal absence.
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The data is a truth table of a 22-variable 4-resilient Boolean function with nonlinearity 2095616.
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This dataset contains pathloss and ToA radio maps generated by the ray-tracing software WinProp from Altair. The dataset allows to develop and test the accuracies of pathloss radio map estimation methods and localization algorithms based on RSS or ToA in realistic urban scenarios. More details on the datasets can be found in the dataset paper: https://arxiv.org/abs/2212.11777.
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The glycemia response for this experiment was obtained in-silico, using the complex physiology-based nonlinear simulation model with the basal glycemia 6 mmol/l and the corresponding basal insulin administration rate 0.01 U/min.
The data acquisition experiment was designed to mimic the regular insulin treatment of a type 1 diabetic subject during the 6-day period with an overall number of 25 meals and a total carbohydrate amount of 433 g.
The virtual continuous glucose monitoring readings were sampled with the sample time 20 min.
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Data and Reuslts from this work:
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The leakage data of the natural gas pipeline comes from the simulated leakage device of the pressure pipeline. The pipeline material is seamless steel pipe, the outer diameter of the pipeline is 108mm, the wall thickness of the pipeline is 4.5mm, and the length of the pipeline is about 100m. According to the specifications of the air compressor and air storage tank (the maximum allowable pressure is 2Mpa) and the standard of high-pressure and sub-high-pressure pipeline gas transmission pressure, the selected experimental pressure range is 0.5Mpa to 2Mpa.
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