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The data is acquired by field test and laboratory experiment.
Showed in the figure 4, base on the field tests of vehicle, the authors record all kinds of data of moving vehicles load, and analyze the main characteristics of amplitudes and frequencies of load.
At the top of compaction loess roadbed, the reduction is 83KPa.

Figure 1 is the start experimental data of the car MAGOTAN 1.4L (this a dual clutch vehicle), the relationship among the opening degree of the accelerator pedal, the engine speed and time well illustrates that the first clutch begins to engage before the accelerator pedal reaches the target opening. 2.
The hidden layer nodes are 14 by calculation in this paper, BP network structure of predicting accelerator pedal opening is shown in Figure 2. 2.3 Data preprocessing The data sample which is obtained usually can not be directly used for network training, so before the training of neural network we should normalize the data sample.
There are many methods of normalization, this system makes the input data between the range (0, 1), and the specific function is expressed as: （2） —the normalized input or output value; —input or output sample values; , —the maximum and minimum values of the sample data changes.
After finish the data preprocessing, We divide the sample data into two groups, 70%～80% of the sample data is used as training samples and 20%～30% of the sample data is used as tested samples. 2.4 Parameters selection, network training and sample test A sample consists of the front 14 groups of data was selected to be trained according to the analysis of the data and the data that has major influence.
The constringency of the tolerance during the training progress is shown in Figure 3, and the data before and after training is shown in Table 1.

This forms the internally hosted private cloud data center.
Cloud data centers address this, through its isolated data protection feature.
They also share similar features of the data inside in the form of virtualized state.
Here we deviate a little from the purpose of a data center due to our own requirements for the study.
Establishing the cloud based data center in institution A in the table below seemed a tough ask.

Method This research was conducted using a quantitative method, namely a research method that involves direct data measurement to obtain quantitative data in the form of numbers.
In this study, Minitab Software was used both for determining the design of the Taguchi experiment (DoE) and for data analysis.
The right data types for ANOVA are nominal and ordinal in the independent variables.
After experimenting with 30 repetitions, the typing speed data words per minute is obtained as follows: Table 3.
The Taguchi experimental results Source: Data Processing Next is the identification of quality characteristics.

The calculated ∆H data are reported in Table 1 for M=Cu, Ni, Fe, Ti, Zr, Pd, Co, Al, Cr and Nb.
From the data of Table 1 one can see that for a few cases, Ni, Ti, Cr, Fe, the introduction of a substitutional metal in the Mg sublattice gives a positive solution enthalpy, ∆H>0, i.e., a global reduction of the thermodynamic stability of the hydride.
Our theoretical results also agree qualitatively with the experimental data from Ref
Our calculated data disagree for Al and Cu, while Nb seems to be a limiting case.
We note that there are no experimental data yet available to be compared to our predictions for Pd, Zr, Cr.

It should be mentioned that in spite of all the positive data available on the antimicrobial properties of Ag NPs, of which a few will be discussed in this article, the exact mechanism imparting such activity to these materials has not yet been properly understood.
The results showed a reduction in mortality among F.indicus fed with diet containing AgNPs with least mortality among those given the long term treatment.
Diameter of the zone of inhibition of Ag NPs in aqueous solution and some common antibiotics against E. coli K12 determined by the agar disk diffusion method (data from Ref. 15).
The data shows that the performance of AgNPs as an antibacterial agent is good, comparable to ampicillin and tetracycline and even surpasses penicillin G.
The same films could be used twice without any reduction in its microbial growth inhibition capability.

The gray forecasting model was employed to supplement missing basic data [8].
Data sourcesand preparation Water resource survey in Harbin urban area was carried out to collect and collate the water system data with properties of time and space in 2011.
However, there was basic information and monitoring data which were calculated by month or week, monitoring errors, data cycle variation and other issues in the parameter system.
Thus, this paper has adopted the gray prediction model to determine the data variation model and variation curve based on monitoring data [12].
R indicates the accuracy of supplement predication data

LoRa MAC layer was developed by the LoRa Alliance and forms the data link and network layer.
LoRaWAN uses the ISM frequency bands with a data rate that varies from 0.3kbps to 50kbps and transmits data within a 5 km range in the urban region and 20 km in a rural area with a payload size of 243 bytes.
For data transmission LoRa shield module, which is a low-cost platform that can be easily deployed with the Arduino platform and it is used for data transmission on 868 MHz frequency between the MC and the IoT server (Fig 1).
The transmitted data are continuously displayed as is depicted in Fig. 11 using the TTN dashboard GUI.
Data Display There is a small delay between the Arduino platform serial interface generated data packets and the values published on the TTN server, and this delay refers to the time taken by the LoRa shield to transmit the data packet and the cumulated delays from the TTN cloud server.

The data analysis department interprets and sends the data to user.
(9) Providing fully automatic way to get the data, process the data, analysis results, publishing results
Moreover，Multi-polarization SAR data better than the single-polarization SAR data to detect oil spills and distinguish between suspected oil spill.
In the case of funds permitting ,Priority to order multi-polarization data.
Calbresi, Neural Networks for Oil Spill Detection Using ERS-SAR Data.

The entry data for the heat transfer analysis were gained by conducted experiments.
It is a thermal process allowing waste reduction in an ecological way and, at the same time, utilising the waste energy potential.
Heat absorbed by combustion products Fig. 1: Scheme of the solved situation – the heat flows in the oven of the system All following calculations of heat flows are based on experimental data measured during the thermal processing of rubber and the entry flow of 60 kg.h-1, the process temperature 600°C.