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In order to support the experimental validation presented in the manuscript titled "Emotional Learning Based Controller for Quadruple Tank System - An Improved Stimuli Design for Multiple Set-point Tracking", the algorithms for controller design, optimization and hardware implementation are represented in flowchart form and included in this supporting data.
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This dataset uses a newly introduced method for the analysis of the effects on WCET of the toolchain configurations used in real-time systems. It is the result of a full factorial experiment comparing SCADE code generation tools (SCADE 5 and 6), compilers (Wind River, GCC, Code Warrior), optimization settings, and WCET analysis tools (high water mark measurement, Rapita RVS, Otawa, AbsInt aiT). SCADE generated software is targeted due to its prevalence in hard real-time systems that require WCET analysis for scheduling.
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Real life business processes change over time, in both planned and unexpected ways. These changes over time are called concept drifts and its detection is a big challenge in process mining since the inherent complexity of the data makes difficult distinguishing between a change and an anomalous execution. The following logs were generated synthetically in order to prove the quality of different concept drift detection algorithms.
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Code duplicates in large code corpora have adverse effects on the evaluation and use of machine learning models that rely on them. Most existing corpora suffer from this problem to some extent. This dataset contains a "duplication" index for some of the existing corpora in Big Code research. The method for collecting this dataset is described in "The Adverse Effects of Code Duplication in Machine Learning Models of Code" by Allamanis [ArXiV, to appear in SPLASH 2019].
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None
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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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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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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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