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.
In this data set:
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 is the datasheet for an examined 30-unit test system including 14 DG (indexed from 1 to 14), 4 RG (indexed from 15 to 18), 4 FD (indexed from 19 to 22), 4 ID (indexed from 23 to 26), and 4 ES units (indexed from 27 to 30).
These data are collected from a 12-bus and a 32-bus DC microgrid. The total operating cost of these two microgrids are optimized by an adaptive Differential Evolution algorithm using real-time pricing.
This dataset is generated by GNU Radio.
Dataset Ⅰ：To obtain the prices of parts from the manufacturing characteristics and other manufacturing processes, feature quantity expression is innovatively applied. By identifying manufacturing features and calculating the feature quantities, the feature quantities are described in the form of assignments as data. To obtain the prices of parts intelligently, the most widely used and mature deep-learning method is adopted to realize the accurate quotation of parts.
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.
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.
Data used on the submmitted article: "Dizang: A solution for collecting forensic evidences in cloud environments"
The EKF-based dynamic magnetic field calibration algorithm uses gyroscope data to calibrate magnetic field data. The magnetic field data can be well calibrated to the surface of the magnetic field sphere, which is superior to the traditional ellipsoid fitting algorithm.
The EEG data were acquired from 16 healthy young adults (age range 22 - 30 years) with no neurological, physical, or psychiatric illness history. All the participants were naive BCI users who had not participated in any related experiments before. Informed consent was received from all participants.
Transfer matrix for PCE tracing
This software application is a complement for the paper entitled "A Single-Phase Transformer-Based Cascaded Asymmetric Multilevel Inverter with Balanced Power Distribution".
This is the sensitivity matrix of the wind farm by using the "perturbation method"
Video dataset of 102 participants for the paper "Learning deep representations for video-based intake gesture detection"
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"
“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"
As the uploaded files are .opj format and opened by OriginLab, the uploaded files have contained the corresponding figures.
We study the Picture-level Just Noticeable Difference (PJND) of symmetrically and asymmetrically compressed stereoscopic images for JPEG2000 and H.265 intra coding. We conduct interactive subjective quality assessment tests to determine the PJND point using both a pristine image and a distorted image as a reference.
By introducing high randomness with reduced computational cost, physical layer (PHY) key generation is one of the candidate tools which can be used for the security of the Internet of Things (IoT) applications. Non-identical secret keys are one of the main problems of the physical layer (PHY) key generation schemes. In order to address this problem, key verification schemes which are based on information reconciliation are used. In the current key verification techniques, the legitimate nodes reveal some information related to their secret keys in order to eliminate non-identical bits.
GENERATION OF MODE SELECTION PROBABILITY - SINGLE RATE CASE, IMPORTANCE OF DIRECT PATH, COMPARISON WITH CONVENTIONAL INCREMENTAL SCHEME
