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At higher temperature close to room temperature, typical magnetization data was noisy.
FMR data for the bare Ta/CoNiFe/AlOx/NiFe/Ta reported here was recorded from the different sample.
Fig. 8 MFM study of MEMSD-B: (a) Topographical image showing height data of MEMSDs and (b) corresponding magnetic force images were produced by using phase data.
MFM images were produced by plotting the phase data over the scanned area.
We utilized high contrast phase images as the reference to discuss the majority of low contrast data (Fig. 8b).

Friability and granule size data collected over four years were studied.
The grain is sized and formed based on friability data and a maximum-entropy model of a static mass of granular material [4].
Reduction to an exact predetermined weight is not permitted

This type of research is a comparative quantitative approach, with data processing using Pulse Lab shop version 16 and visualized into a curve graph using Microsoft Excel.
Fig. 5 (c) shows that the four bamboo twigs with a depth of 75 mm have a maximum absorption value at a frequency of 1100 Hz, then a reduction at a frequency of 1550 Hz, and last an increase at a frequency of 1600 Hz.
From the curve data obtained, there are differences between gypsum and bamboo twigs.

Then the data that were obtained through the experiment were analyzed.
First of all the strain gauges are affixed on the points of the front axle housing that need to test, and then the stress-strain data of the each measuring point is read after the data is processed through the compute and the strain gauge.
In the experiment, a data collection box is used, while the large amounts of data are collected through computer software to reduce the workload and make the data have higher reliability.
In this experiment, the times of loading as 90kN are three times and the experiment data are shown in Table 1.
The results showed that the test data of the experiment is larger than the data of the computer simulation, and some parts of the difference are relatively large.

Data Collection of Driving Test.
The on-board measurement is applied to ensure the precision of the data.
The data of engine speed, running speed, throttle angle, fuel consumption are measured in the test.
The frequencies of the gears are calculated with further data processing.
Data Analysis.

The Raman data were afterwards translated to stress and strain through the aforementioned relevant calibration curves [1].
Then they were unloaded to 0.2% applied strain in order to avoid undesirable crack development and Raman data were collected.
Comparison between experimental Raman data and analytical calculations.
Analytical calculations were used as verification, comparing their predictions on the elastic stress concentration to the experimental Raman data.
This confirmed that LRS is a powerful tool for collecting useful design data for notches in composite materials.

For instance, the monitoring of production process performance data during the use phase, thanks to embedded sensors on the machine, enables to collect a huge amount of data in order to improve both production efficiency and product and service design phase.
Moreover, generated data may assist manufacturers in the optimization of asset management efficiency and in the reduction of their costs through the adoption of predictive maintenance, thus allowing an improvement of after sales service effectiveness.
In addition, companies have to be able to monetize these data [18].
Then, collected information were transcribed and evaluated independently, using company secondary sources to check internal consistency of the data [26].
ACMIT. (2019) [21] Zhong, R.Y., Chen, C., Huang, G.Q., Xu, C.: Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors.

Statistically evaluating the obtained data is carried out by using the analysis of variance, signal to noise and artificial neural network techniques.
By using the experimental acquired data, the average S/N ratio for every level of process parameters is calculated (see Table 2).
The reduction of the number of process parameters saves the time and cost of the experimental analysis and easies the process modeling.
Table 5 presents the results of confirmation tests using four new experimental data.
Analysis of variance, signal-to-noise and artificial neural network techniques are used for analysis the experimental data.

Generally, an oscilloscope generates an eye diagram by overlaying sweeps of different segments of a long data stream driven by the reference clock signal.
This type of jitter can be further divided into several types, namely, periodic jitter, bounded correlation jitter and data dependent jitter which includes duty cycle distortion and inter symbol interference [1].
In order to control the uncertainties of the results, we used 20 data sets for each simulation setup and obtained the total jitter spectrum for each data set.
Finally, we obtain the mean spectrum of the total jitter after taking the magnitude of the spectrum for each data set of the relevant simulation setup.
In addition, 1-to-1 curve and the fitted curve through the data points with the relevant linear regression for the measured jitter amounts is also included in each simulation results in the figure.

The main parameters and measured data of experimental launcher are listed in Table 1 and Table 2.
The data series are listed in Table 3.
The results are shown in Table 4, in which the errors between the calculated and predicted data are listed.
Table 4 Errors between the calculated and predicted data of launching experiment No.
The strain measurement data series are listed in Table 5.