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These datasets are of the hydraulically actuated robot HyQ’s proprioceptive sensors. They include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of linear and yaw motion.

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1667 Views

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This VirtualBox image allows to reproduce the results presented in the paper "Time constrained exploration using toposemantic spatial models: a reproducbile approach" appeared in the September 2019 issue of the IEEE Robotics and Automation Magazine 10.1109/MRA.2019.2923452  

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These files are the dataset of the antenna simulation and measurement.
All the simulation data were obtained using FEKO, and those were imported and visualized using MATLAB.
The scattering parameters of the antenna were measured using Keysight E8362B vector network analyzer, while the gain patterns were measured in the anechoic chamber.

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478 Views

Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation tool

 

These data had been donated by Peyman Mahouti in 2019.

Donators note:

Please cite the following paper if you use this data set:

[1]      Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.

 

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The performance testing sample results for RPS = 110 (with the maximum TPS = ~ 350 achieved) for manuscript "Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-grained Transportation Insurance"

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159 Views

 

“Video Demo” provides the video demo of the implemented prototype system as stated in our manuscript "Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-grained Transportation Insurance"

 

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The database here is obtained via the Multidisciplinary Digital Publishing Institute (MDPI)  search engine that ranks all articles from

202 diverse, peer-reviewed, open-access journals. We downloaded and compared 200 articles (100 highly and 100 lowly

cited articles) published in 2017. Note, MDPI provides the article ranking based on the access date. So, all downloaded

articles are categorized highly cited and lowly cited based on the 17th of March 2019 access.

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370 Views

This data-set was used for the localization of an emitter based on Time Difference of Arrival (TDoA). 

The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem. 

An extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.

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1152 Views

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