391 to 400 of 484 Results
Gzip Archive - 9.6 MB -
MD5: 76fdb5dc8726e1ff87bfd222c5878f62
Raw ultrasonic measurement data of the aluminum standards to determine the system time in *.psdata and *.csv file format.
File name schema:
aluminum cylinder sample length in mm ("Al-50mm" or "Al-100mm");
transducer type ("P-wave_1.0MHz" or "S-wave_1.0MHz").
Oscilloscope channels:
A = transmitter transducer signal;
B = receiver transducer signal. |
Gzip Archive - 512.2 MB -
MD5: bffe5caf870bf1e36bf09271628dbb49
Raw ultrasonic measurement data of the small samples in *.psdata and *.csv file format.
File name schema:
maximum applied temperature in degree Celsius;
cooling protocol ("slow" or "fast");
measurement date ("t0" = before thermal treatment, "t1" = after thermal treatment);
transducer type ("P-wave_1.0MHz" or "S-wave_1.0MHz");
optional: polar... |
Gzip Archive - 98.9 KB -
MD5: 7b5a673f9add40e329e50428d5938d22
Measured characteristic furnace chamber temperature of the different thermal treatments in *.csv file format. For the fast cooling thermal treatments, immediate quenching in water at RT was performed after the last given data point. |
Jul 7, 2021 - Publication: Detecting micro fractures with X-ray computed tomography
Lee, Dongwon; Nikolaos, Karadimitriou; Steeb, Holger, 2021, "Fracture network segmentation", https://doi.org/10.18419/DARUS-1847, DaRUS, V1
This dataset contains the codes to reproduce the five different segmentation results of the paper Lee et al (2021). The original dataset before applying these segmentation codes could be found in Ruf & Steeb (2020). The adopted segmentation methods in order to identify the micro fractures within the original dataset are the Local threshold, Sato, C... |
Jul 7, 2021 -
Fracture network segmentation
Plain Text - 5.3 KB -
MD5: 42ba2403995ffbc255edfddfb575efa6
This file contains the workflow of Chan-Vese method |
Jul 7, 2021 -
Fracture network segmentation
Unknown - 1.9 GB -
MD5: 9c0aaff5be02d37f4dd76756a142da01
This is the trained model with the Random forest method. This file could be loaded in the open source program ImageJ with TrainableWeka library. The predictions can be generated with processing.bsh code. |
Jul 7, 2021 -
Fracture network segmentation
Plain Text - 3.0 KB -
MD5: 8af741da7af5db62a1855a4c4eed56d0
With the code, the predictions of trained model for given input files can be generated and saved. |
Jul 7, 2021 -
Fracture network segmentation
Plain Text - 2.2 KB -
MD5: a269c380d683920ac900d3539a4fdc6a
Preparation of training data can be done with the code |
Jul 7, 2021 -
Fracture network segmentation
Plain Text - 5.6 KB -
MD5: 0d2949b2c023b9f5b67ccefb8487d803
With the pre-processed training data, the code performs training of U-net model and saves a trained model after training. |
Jul 7, 2021 -
Fracture network segmentation
Plain Text - 15.4 KB -
MD5: 9a20bdaef7a1f87ecfdd053873a642bf
This file contains the load/save functions and core functions of the Sato and the Local threshold methods. |