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The calculated result is in good agreement with the measured data.
Contours: measured data [3] and D [4].
Contours: measured data
The calculated orientations were similar and in good agreement with the measured data.
The calculated textures were in reasonably well agreement with the measured data.

Data collected by the wireless monitoring system is compared to data from a traditional wired monitoring system.
The result is low power consumption as well as mass and volume reduction.
The microcontroller is also responsible for compressing the processed data.
Such a solution guarantees additional reduction of power consumption.
The procedure of data processing is staged.

Due to its advantage, which including the elimination of the need for additional information about data and the ability to extract rules directly from data itself, this theory has been developed and used in more and more domains [6-8].
The data characteristic information is extracted by using the reduction theory of rough set to delete the redundant dimensions and irrelevant variables.
The unit data group amounted to 50.
Using “training-test” method, divides given data set into training data set and test data set (respectively random distribution according to 80% and 20%). 40 groups sample are selected to fault feature selection using rough set and train the BP diagnosis model, and left 10 groups samples will be used to validate the fusion fault model.
Fisher, A fault diagnosis method for industrial gas turbines using Bayesian data analysis, J Eng Gas Turb Power 132 (2010) 82-89

The strength reduction factor of concrete at high temperature Fig.1. shows the static strength reduction factor of concrete at high temperature decreases while the temperature increases.
According to the high temperature strength data, the strength reduction factor of concrete is fitted: (5) Because the test data is obtained at a certain temperature range,so equation (5) extended to 20 ℃ ~ 650 ℃.
According to the test data, the DIF expression is obtained: (7) Dynamic compressive failure criterion of concrete at high temperature.
However, because of the discreteness of the concrete and other factors, the error of individual data points reached to 15%, and this aspect should have a further study.
While because the discrete of concrete and the test data was obtained within a certain range of temperatures and impact velocities, this aspect should have a further study.

Results of the design analysis carried out using computer software are presented for boundary data complying with the currently operating state-of-the-art arc steel furnace.
Precipitation degree is determined for the dust participating in scull generation on a wall water-cooled surface and significant reduction of dust effect on electrodes.
Aerodynamic angle of high velocity and high temperature torch divergence was taken as per experimental data [14].
The stated parameters and the boundary data were used for two design analysis and remained constant.
At such gas circulation in the working space periphery reduction of the directed impact of combustion product flow on the inside water-cooled surface of the furnace wall is observed (fig. 5b).

The obtained deviations of the rolling force between simulation, analytical modeling and actual data have comparable results and a similar trend of changes through the passes, the average value of which does not exceed 1.54 % and - 1.77 %.
Therefore, obtaining data on the occurrence of such a phase in the metal allows to improve processes of the design, development and improvement of the technology in relation to characteristics of a particular condition and the material being processed.
On the basis of comparative calculations it has been established that the obtained deviations of the rolling force between the two methods of calculation and the actual data have comparable results and a similar trend of changes in the passes, Fig. 4.
Rolling mill Pass H, [mm] 1 h, [mm] 2 Reduction, [%] Factual data Calculation in the analytical model Calculation in Abaqus CAE Deviation of calculations of rolling force, % t, [оС] 3 Rolling force, [MN×100] t, [оС] 3 Rolling force, [MN×100] Rolling force, [MN×100] Abaqus from the fact Analytical from the fact Two-high rolling mill 3170 1 221.3 200.49 9.40 1090 1007 1200 867.78 923.42 8.30 13.83 2 200.49 178.82 10.81 1068 904 1194 946.42 970.29 -7.33 -4.69 3 178.82 158.36 11.44 1068 1000 1187 965.31 963.11 3.69 3.47 4 158.36 139.55 11.88 1044 1017 1179 970.42 943.00 7.28 4.58 5 139.55 120.54 13.62 1073 1015 1169 1060.42 1011.41 0.35 -4.47 6 120.54 103.88 13.82 1023 1077 1158 1048.15 981.68 8.85 2.68 7 103.88 87.23 16.03 1055 1121 1144 1163.62 1088.26 2.92 -3.80 8 87.23 71.81 17.68 1009 1243 1127 1243.94 1174.54 5.51 -0.08 9 71.81 57.87 19.41 1027 1254 1105 1341.91 1291.21 -2.97 -7.01 10 57.87 46.82 19.09 1027 1246 1076 1350.15 1288.40 -3.40 -8.36 11 46.82 37.16 20.63 1041 1397 1037 1532.49
The comparison of power parameters obtained by the FEM and calculated by the analytical method with the actual data on the results of coils rolling with dimensions of 15 mm × 1500 mm made of structural steel grade S355JR+AR at the Steckel mill has been performed.

Laurenson4,d Deyang Pei5,e and Hua Jiang6,f 1,2,5,6Suzhou University of Science and Technology, Suzhou, China 3College of Electronics & Information Engineering, Tongji University, Shanghai, China 4 Institute for Digital Communications, University of Edinburgh, Edinburgh, UK aluoheng1981@163.com, balanjpchen@yahoo.com, ctjgah@mail.tongji.edu.cn ddave.laurenson@ed.ac.uk, epeideyang@163.com, fjiang9093@sina.com *Corresponding author 86-13912772146 Keywords: PM pollutant measurement; Sensor network; Energy reduction; Abstract.
(a) Classroom #1 (18m*9m) (b) Classroom #2 (6m*9m) Fig.1 Two sampling locations 2.2 Sampling equipment The direct reading monitoring device, Dylos Air Quality Monitors (Model DC1700, with external dimensions of 17.78mm*11.43mm*7.62mm) were deployed in 5 different locations. 2.3 Data collection The instruments were operated for 47 days from 2 September 2013 to 18 October 2013.
The concentration of particles greater than 2.5 microns in Fig.2(b) doubled that in Fig.2(a) because of low temperature at that day, leading to the reduction of indoor-outdoor air exchange.
Fig.4 Samples with different intervals in 8:55 ~9:40 on 17 October, 2013 (18℃ ~ 22℃ , Cloudy) 3.4 Estimated Energy reduction (1) where Preduced_all is the total power reduction, Preduced_sample and Preduced_TX denote power reduction by sampling interval increase as well as less transmission times respectively.

Thermal upgrading is the process for nickel extraction in selective reduction with holding temperature in low (300-500 oC).
After that, it was analysed by XRF Bench Top PANalytical Epsilon 3XLE (in the sample size 200 mesh, for raw after homogenization in ball mill for 8 h and for concentrate sample after magnetic separation and drying) with analysis data by Microsoft Excel 2016, XRD PANalytical X’Pert3 Powder (in the sample size 200 mesh, the 2q is in the range 10–80o with step size 0.05 and analysis data by High Score Plus).
This indicates that ash and volatiles have an important role in the reduction process.
Carbothermic Reduction Of Nickeliferous Laterite Ores For Nickel Pig Iron Production In China: A Review.
[16] Bahfie F., Manaf A., Astuti W., And Nurjaman F., 2020, “Studies On Reduction Characteristics Of Limonite And Effect Of Sodium Sulphate On The Selective Reduction To Nickel”.

Most stacking faults yielded ~40% reduction in the carrier lifetime.
Moreover, drastic lifetime reductions were observed in regions containing surface triangular defects and bulk 3C polytype inclusions.
Available experimental data regarding electrical activity of threading screw and edge dislocations in SiC material suggests that these defects have different effects on bipolar and unipolar device performance [6, 7] and on radiative recombination properties [8].
The carrier lifetime in the region near several defects of each type was probed in order to provide reliable data.
Most SFs showed ~40% reduction in the carrier lifetime, while large lifetime reductions were found from regions containing surface triangular defects and volume 3C polytype inclusions.

One way ANOVA for hardness and impact toughness data results having a confidence level of 95% with hot rolling reduction ratio are shown in Fig.1 (a, b) for heat treated low alloy steels.
It is found that hardness increases slightly with hot forging reduction ratio.
Hardness increases by 20% as reduction ratio increases from 11% to 29%.
Note that an increase in reduction ratio will also be accompanied by a reduction in impact (Charpy) toughness, Figure 1.
Reduction Ratio in all alloy samples in Fig. 2(a, b) around ~6%.