The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition.


This dataset contains the full set of experimental waveforms that were used to produce the article "Non-Linear Phase Noise Mitigation over Systems using Constellation Shaping", published in the Journal of Lightwave Technology with DOI: 10.1109/JLT.2019.2917308.



The dataset contains two files: PartIII_NZDSF.tar and PartIV_GS.tar, corresponding to part III and part IV of the paper. Each file contains: * Transmitted one-sample-per-symbol sequence, that is loaded into the DAC. * Intradyne back-to-back results. * Propagation results over the recirculating loop. All data has been captured with a 50 GS/s Tektronix oscilloscope, and symbol rate is 16 GBaud. Back-to back results are quoted as a function of noise power, i.e. attenuation of the ASE source used for noise loading. Loop results are quoted as a function of the per-channel optical power and recirculation number. Details on the experiment are available on the paper.


This is a new image-based handwritten historical digit dataset named ARDIS (Arkiv Digital Sweden). The images in ARDIS dataset are extracted from 15.000 Swedish church records which were written by different priests with various handwriting styles in the nineteenth and twentieth centuries. The constructed dataset consists of three single digit datasets and one digit strings dataset. The digit strings dataset includes 10.000 samples in Red-Green-Blue (RGB) color space, whereas, the other datasets contain 7.600 single digit images in different color spaces.


There are two datasets in the file.

The dataset 1 contains 228 image pairs which are labelled by experienced people with the true burst bubble. 

The dataset 2 contains 335 image pairs which are processed by the local motion correction. They are used for measuring the similarity. 


This image is geometry of distributed radar netwrok for parameter estimation. In this distributed radar netwrok, three echo signals are computed by uisng VIRAF software and CAD model of cone-shaped warhead with micro-motion dynamics.


In robotic grasping and manipulation, force feedback is one of the most important factors. In the absence of force feedback, force control and compliant grasping is almost impossible. In this study a novel Vibrational Haptic feedback system is designed. The system gives individual digit awareness of a multipronged robotic gripper to the user.


This raw data was used in a study looking at the correlations between 10 image quality metrics (IQMs) and the subjective image quality scores of expert radiologists. Nine MR images of the abdomin and of the brain were retrospectively degraded by noise, motion, undersampling, compression, and blurring. Each of these images we then evaluated by the radiologists and the IQM scores were calculated. This data set is made up of the radiologists' scores and the IQM scores.


Load datasets for "HyperDimensional Bayesian Time Mapping (HyperBaT): A Probabilistic Approach to Time Series Mapping of Non-Identical Sequences".





This is the coefficient set for Area- and Power-efficient Nearly-Linear Phase Response IIR Filter by Iterative Convex Optimization


Occlusion, glare and secondary reflections formed due to and on the spectacles - results in poor detection, localization, and recognition of eye/face features. We term all the problems related to the usage of spectacles as The spectacle problem. Though several studies on the spectacle detection and removal have been reported in the literature, the study focusing on spectacle problem removal is very limited. One of the main reasons being, the nonavailability of a facial image database highlighting the spectacle problems.