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The potential errors are analyzed and raw data of the IMU is preprocessed effectively.
The noise in A/D sampling influenced the accuracy of raw data.
The multi-attitude acceleration data is shown in Table.2.
Magnetic data is sampled before calibration and after calibration[9].
Table.4 Heading Data No.

Considering the urgency of saving the world’s energy reserve and reduction of environmental impacts, studies on the energy consumption throughout the life cycle of building materials are crucial.
It would be very useful and provide significant data if each manufacturer recorded the energy used associated with their building materials.
For ceramic products the replacement of old intermittent kilns with tunnel kilns with an increased energy efficiency of 20%, the use of high speed burners and the recovery of the heat from the kiln smoke to preheat/dry the product to be fired, thus achieving a reduction in the consumption of the kiln of 5% and 8% respectively, and the installation of cogeneration systems with a reduction of 10% in the primary power. [12].
The energy saved is equal to one third of the energy needed in production and the reduction of CO2 emission is equal to the O2 production of 2.7 million trees [15].

We conclude that the dissociation of iron-boron pairs must be taken into account to explain the light-induced lifetime reduction.
Introduction Light induced degradation (LID) in silicon solar cells has been recognized as a significant cause of minority carrier lifetime reduction during cell operation due to a metastable defect formation under illumination.
A best fit to the experimental data suggested that the generation rate of the (BsO2i)+ defects is controlled by the capture of a majority-carrier hole by the dimer following the capture of a minority-carrier electron and by the Coulomb attraction of the O2i++ to the Bs- atom.
However, other defects based on metallic impurities were proposed to explain the structural identity of the trap responsible for the lifetime reduction [5].
Therefore, we can legitimately assume that the reduction in τeff under illumination is due to the BOi2 formation.

Some specimens were then cold drawn with a linear velocity of 1 m/min to 16 % area reduction, and one specimen in 3 passes to 51 % reduction in area.
Drawing was done on a carriage drawing machine at linear speed of 1 m/min with a 16 mm diameter drawing die to 16.4 % reduction in area.
Young’s modulus, yield stress and hardness data are summarised in Table 1.
Table 2 lists also some of our previous data in an attempt to identify the various contributions to overall strengthening of Al and Al-l8.8Cu-6.3%Si-0.7Mg alloy [10].

Second, we process the float data in the depth buffer by using uniformization and render the two depth data in the texture.Then use Gauss Filter to blur.Finally,use the algorithm of BIRCH cluster the uniformization data to improve the obscure and tweened effect.This method brings reduction of aliasing problem with low overhead as well as performance to a certain extent .
Otherwise, compute the variance from the two moments and scale the ray intensity.Usually the variance data is used to estimate the minimum boundary value .
So,The improved variance shadow map increases the global stability of the inputed data sets by reducing the threshold.The scope of the depth data sets is decreased for zero to one.And then,our normalized variance shadow maps' data sets are putted into CF tree,and then,We use CF tree of BIRCH algorithm to split the data sets into different clusters or different layers.This will reduce the gaps to some extent.The clustering of CF tree can be regarded as a recursion process.The detailed description of that algorithm is listed in the next paragraph.
BIRCH algorithm By using BIRCH algorithm [9],we can cluster mass data in a fast way.Mass data is divided into different sets or clusters by their distance.In general,these clusters have no special rule during clustering,therefore more particular clustering is needed that is solved by specific Algorithms.
The CF tree is described by the following format.CF={N,LS,SS},N is the number of points in the data set,LS is the liner sum of points in the data set,SS is the square sum of points in the data set.

Solar energy is a potential source for hot water and has been an important measure for energy savings and carbon reductions [1-5].
The blue and red data are solar heat gains and backup energy, respectively.
The carbon emission reduction can be calculated according to this equation Qco2=⊿Qsave*Y*Fco2/(W*ηw)= 94142.68×0.866×44÷(29.3×0.6×12)=11.4t；the carbon reduction for each household can be estimated by Qco2/18=11.4T/18=634KG.
Zhu, “Enhanced Supervision Strategies for Effective Reduction of Building Energy Consumption-A Case Study of Ningbo,” Energy and Buildings, vol. 43, pp. 2197-2202, 2011

According to data[1], 1 billion tons of slag has already been stacked in China until now, while 0.2 billion tons of these are continuously discharged and stacked per pear.
WB ％ 20.66 9.81 0.22 0.24 15.08 4.85 2.78 3.12 4.5 Experimental process In this study, reduction reaction of hematite was researched to separate iron and quartz.
The optimal technological condition [7]is as: reduction time is 60 min, reduction temperature is 1550 and alkalinity of slag should be controlled between 0.3~0.5 in order to get better slag to form glass ceramics.
Experimental study of hematite melting reduction under high temperature.ICMSE2011

Statistical analysis upon experimental data revealed that milling orientation was the most significant factor for tool life as well as for surface roughness.
Introduction Application of high-speed milling (HSM) technology to the machining of hardened steels has offered numerous benefits like reduction of lead time and cutting forces, improvement in workpiece dimensional accuracy and surface finish, attainment of workpiece compressive residual stresses, reduction in workpiece micro-structure alterations, elimination of surface micro-hardness increases, and improvement in fatigue life [1, 2].
The tool life data were analyzed using ANOVA technique.
The numerical optimization of tool life data suggests that for any material hardness value lying between 52 and 62HRc (inclusive), the tool life in HSM of AISI D2 can be maximized if the end mill of high helix value is used along with combination of MQL and down-milling.
Numerical optimization, applied on experimental data, suggested that Ra (average) can be minimized if the tool having helix angle of 45º is used with combination of MQL and down-milling.

Eventually, pyrolysis conditions are able to encourage the reduction process occurred in the iron ore catalyst.
Iron ore used as catalyst for pyrolysis has been explored by some researches since pyrolysis products are able to give reduction effect on the iron ore [3,4,5,6].
Hence, using iron ore as catalyst gives a positive synergy between pyrolysis and reduction process.
Figure 4 displays the peak areas as the notable quantitative data gained from the GC–MS analysis.
Akiyama, Reduction of mild-dehydrated, low-grade iron ore by ethanol, Fuel Processing Technology, 178 (2018) 156–165 [13] U.

A copper wire is drawing from (4.3 mm) into (3.5 mm) diameter with an area reduction of 1.65, 34% ratio.
All the weight and wear rate data are listed in Table (3).
The tensile test for copper wire before and after wire drawing process for all test the dies. 9.2 Wire Product Hardness The fact that wire drawing makes wire harder throughout every reduction operation, particularly continuous reduction processes, is one of the techniques most significant advantages.
Also, increasing the wire alignment decreased the hardness due to the reduction of the normal load due to the angle.
Increasing the speed increased the tensile strength with reduction in elongation and ductility of the wire before and after testing.