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IRT can be defined as the science of acquisition and analysis of data from noncontact thermal imaging devices [8].
Results The analysis of the two white paints (C_White and R_White) was performed during one day (8th February 2013) using thermocouples and thermographic data observed on the South façade of one test cell.
Percentage differences between data obtained with the two methods, for R_White and C_White paints, are also presented in Table 2.
Additional data show that the two white paints had different thermal performance (for the specific studied day - 8th February) between about 9h30 and 17h30, corresponding to approximately insolated facade time.
Small differences (5%) between IRT and thermocouples temperature data show the good accuracy of IRT method for setting temperature distribution of surface façades.

For testing materials, torsion pendulum has standard requirements for size of test specimen, clamping manner and clamping force, which facilitates error analysis of data.
Damping data obtained through the test will be more accurate through error analysis and range of temperature for use can be from liquid nitrogen temperature to 1500oC.
This scheme can basically meet requirements of the non-linear damping test of magnesium alloys and the test data obtained on the relationship between damping and strain of the AZ61D magnesium alloys can reflect damping capacity of the magnesium alloys.
The basic principle of the damping test device and damping and strain test data are shown in figure 7 and figure 8 below.
Besides, the test data can reflect comprehensively the damping capacity and advantages of magnesium alloys making them the best alternative scheme for testing damping capacity of magnesium alloys.

The observation was done at the temperature of melting, melting time, data retrieval was conducted repeatedly three times on different days.
Figure 2 b. simulation of fluent Red dot in Fig 1 shows the placement of a thermocouple probe that serves to determine the condition of the furnace temperature, thermocouple that is used is equipped with a data acquisition capability at intervals of 70 milliseconds the brand National Instrument NI USB-9211 / 9211A.
The energy generated in the smelting process can be calculated by the following equation: [5] (1) Fuel consumption can be calculated by the equation: (2) The thermal efficiency of the furnace can be calculated by the equation: (3) The heat produced by fuel wood charcoal can be calculated by the following equation: [6] (4) where: NCV= Net Energy of Charcoal (kcal/kg) GCV= Gross Energy of Charcoal (kcal/kg) h = hydrogen content of fuel (wt-%) Result The results of the study, whereas the melting temperature data is recorded using data acquisition logger to record every second until the bronze alloy is ready to be poured into molds can be seen in Fig. 3 below: Figure 3.
This statement is also supported that the design the furnace gives effect to an increase in thermal efficiency and the reduction of pollutant elements [7].

For analyzing the volume fraction of α phase, more than two visual fields on each specimen were chosen and the final data were the average values.
Prediction of Flow Stress There were only 5 true stress-true strain curves being set aside from the total 45 ones as the test data source.
Both input and output data should be normalized before training the network.
All the data normalized were used in the networks directly.
Therefore, it is demonstrated that the neural network predictions are in good agreement with the experimental data.

Here are some major financial data about the company.
Table 1 Financial data of BaoDing TianWei BaoBian Electric Co.
Here are some major financial data about the company which we can use for analyzing its financial condition.
Internal data include R&D information provided by the department of technology research, the production schedule data provided by the production department , sales data provided by the sales department, personnel office information provided by human resources department, and the financial information provided by the financial.
External data include relevant surveys about external market environment, investigations of cognitive degree of information products, analysis data about competition in the industry, the national industrial policies, laws and regulations and other information.

A mathematical modeling approach as well as experimental data analysis have made it possible to establish significant factors affecting the relative diameter of the axial porosity zone.
An increase in the rolled section diameter leads to a decreased reduction of the original concast slab.
When a critical degree of reduction is achieved, the defects, which are invariably present in the slab (as a rule, these are shrinkage defects located mainly along the slab centerline), are not removed by working and retain in the rolled stock.

In case of ablation power variation, PL data shows that the PL curve peak excited by 280 nm laser changed from 369.09 nm to 371.02 nm, and when it excited by 290 nm the PL curve peak slightly changed from 388.17 nm to 393.8 nm.
Ruoff, Stable aqueous dispersions of graphitic nanoplatelets via the reduction of exfoliated graphite oxide in the presence of poly (sodium 4-styrenesulfonate), Journal of Materials Chemistry. 16.2 (2006) 155-158
Santoso, Effect of chemical reduction temperature on optical properties of reduced graphene oxide (rGO) and its potentials supercapacitor device, Material Science Forum, 901 (2017) 55-61

Test S-N data are given in Table 1.
Table 1 Test S-N data of the four groups of specimens.
Similar to the measurements for scattered S-� data [17], a probabilistic modeling for considering the scattered test Aeff-KN data under KN following lognormal distribution as effavavavN, lg lg AVUK += ; effrms rms rmsN, lg lg AVUK += ; eff N, lg lg AVUK CPCPCP −− − += (7) ( ) [ ] rmso1 av 1 UntZUU CP CP −+−= −− ; ( ) [ ] rmso1 av 1 VntZVV CP CP −+−= −− (8) Similarly, Uav、Vav、Urms and Vrms are basic material constants, which should be evaluated using the former two terms of Eq. (7) fitting into the lgAeffi-lgKN,avi data and lgAeffi-lgKN,rmsi data, respectively.
These data are given in Table 3.
Appropriate measurements have been given for the test data.

From a single time history measured in this condition the ODSs can be extracted with an enormous data and time savings.
Since the sidebands frequency distribution is known, it depending on the resonance and laser beam scan frequencies, their amplitude and phase can be determined by performing a Targeted FFT only at the necessary spectral lines, this allowing to a huge data reduction in the processing phase.
In fact these data contain both the time and spatial information needed for the ODS reconstruction.
The two blade rotor ODSs have been extracted from the Scanning TLDV and the Targeted FFT CSLDV data measured at different rotation speeds.
ODSs recovered from TLDV data are given only in terms of amplitude because during the scanning it has not been used a phase reference.

So product diffusion can be predicted based on the early history data.
The data is from the Annual Statistical Yearbook of China Automotive Industry [20].
Firstly, data from the previous section of time series are selected as the training data.
Secondly, the selected data are input into model.
Parameters are calculated and data of back time series are predicted.