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Data and method Data source and data selection.
The data in the paper mainly includes the vegetation index data, the land use data and output data.
Land use data was Chongqing land classification results based on CBERS data finished in 2006.
Moreover there were more cloudy days and less remote sensing data under clear sky condition in Chongqing so it was difficult to obtain good quality remote sensing data.
Estimation of cropped area and grain yield of rice using remote sensing data.

However, Gao et al. [7] pointed out that only a limited number of reports present data on the wear behavior of SPD-processed materials and that many of these results appear to be conflicting [8].
Table 1 summarizes the Vickers hardness data of HPT-processed disks at r = 2.5 mm with different numbers of turns.
Thus, the reduction in wear is considered to be due to hardening by the HPT process.
Fig. 7 shows the calculated K data plotted against the reciprocal of Vickers disk hardness at r = 2.5 mm.
A linear correlation can be observed between K and the inverse of disk hardness, which agrees with the Archard wear equation, and the data are plotted on the same line for both Fe and S45C.

Instead, data driven methods use previously collected training data from the structure as a reference for deducing impact locations [2,10–14].
However, the downside is that data driven methods are only accurate for the scope of training data given and thus will suffer from reduced accuracy for impact conditions outside of the given training data condition [2,12].
Inclusion of all possible impact variations in the training data is not practical due to the large amount of training data that would amount to.
Data processing and analysis was done using MathWorks MATLAB R2018a software.
This means that it is possible to accurately predict the impact location of various impact cases without having to incorporate them in the training case, leading to a large reduction in required training data and increased feasibility for ANN use in real life conditions.

., work flow chart is shown in Figure 1,plus auxiliary heat is : (4) Figure.2 explains its composition and working process, biogas or wood as an auxiliary heat source for hot water and heating,that is environmental protection and energy-efficient, plus auxiliary heat is Figure.1 System components working principle for program 1 Figure.2 System components working principle for program 2 Conclusions and discussion Polysun is a excellent software for solar system simulation, in order to compare performance for two different programs ,we input meteorological data , working conditions, use conditions etc to simulae parameter of various equipment and systems, Figure.3 is compare to enegy from and to the system,it is obvious output is greater than input.
Figure.6 shows max reduction in co2 emissions in progam 2.You can see ,air quality will be greatly improved if heating mode mentioned in program 2 is put into effect.
Figure.6 Max reduction in co2 emissions in progam 2 At last, table.1and table.2 will speak with large amounts of data, We picked some of the data as examples.Annual values overview on system,it can save energy compared to reference system(this refers to program 1) 423.8 kWh and total fuel and electrical energy consumption of the reference system359.6 kWh.Savings compared to reference system 54.1 % on solar thermal energy, collector field yield relating to aperture area 18.5 kWh/m²/year.

This data is for the 7 x 2-inch configuration and shows data for the time period before and after a set of experiments were conducted.
Note the large variability prior to the implementation and the significant reduction when the process determined from the experiment was implemented.
Note the significant reduction in process variation (standard deviation reduced by factor of 2) for the runs after the designed experiments were completed.
Linear regression coefficients and standard errors of data and model of Figure 3.

DDNS Server Embedded Data Acquisition Server Monitoring Center 4.
Data Storage Technology In consideration of the security of the data, the system has separated the data processing server, database server and application server from each other and set them up on three independent servers.
In order to ensure the integrity of the data, the data processing server would store the received orchard data into the system cache.
At the same time, the data processor would extract an intact data packet from the system cache for the legitimacy validation according to the preset fixed format.
If it is found in the validation that the received data packet is invalid, this data packet should be discarded.

The LI-3 contact surface profilometer was used to measure its surface morphology and then the data was processed through MATLAB wavelet analysis.
Data Acquisition on Shell and Bionic Surface.
Compared with the data in Table 2, there are more deep valleys on epoxy biomimetic surface too, and the difference value of Ssk for each corresponding positions is under 0.1.
Some studies have suggested that good hydrophobicity conducive to drag reduction for underwater vehicle [7].
Analysis shows that biomimetic surface structure data is consistent with the real shell.

For the adsorption equilibrium study, data from batch studies at various initial concentrations (20 - 100 mg/L) after 1 hour were utilized.
Data from batch studies covering different contact times (20–100 mins) were collected for the adsorption analysis.
Fig. 1 represents the data for the removal efficiency of Copper (Cu) from wastewater at various adsorbent dosages for each of the studied adsorbents: WT-rCB and WT-dAC.
Fig. 3 represents the data of the effect of difference initial concentration of removal efficiency of Copper (Cu) from wastewater at different concentration for each of the studied adsorbents which is WT-dAC.
Fig. 5(a) shown the data of Langmuir isotherm that have higher linear regression R2 value of 0.9153 compared to Freundlich isotherm with 0.8191 in Fig. 5(b).

The central issue revolves around the limited availability of comprehensive data and insights concerning the use of rLDPE in extrusion moulding.
The tensile test results shows no significant changes, no clear signs indicating molecular size reduction and no indication of enhanced degree of crystallization accompanying molecular size reduction [12].
Meanwhile, the vLDPE75/rLDPE25 blend had the most minimal reduction of the melt viscosity compared to vLDPE100.
Similar findings have been reported by other researchers regarding the reduction of mechanical properties for recycle materials [10, 11, 13, 14].
Based on the obtained results, it appears that the flexural strength data of the polymer blends follow the trend of the tensile strength data, where a higher loading of vLDPE results in a beneficial change in mechanical properties.

Thus the free superficial energy of a system aspires to shrink at the expense of mass transfer from the basic particle to balls of the additive for reduction of the area of the system surface.
However, in this case to explain the shrinkage reduction at the increase of the quantity of the additive it is possible only that the number of ‘balls’ of the additive remains invariable and their diameter grows that is hardly right.
Substituting this equation or Eq. (2) into Eq. (7) we find that the shrinkage increase is connected both with a decrease in concentration of additive , and with a reduction of the size of the additive crystals .
And the shrinkage size will change at constant value of relation and simultaneously variable values of any of these parameters that do not follow from Eq. (5) but proves to be true by the calculation on experimental data.