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Apart from the raw data, the influence of applying filtering to the captured clouds is analysed.
For the outlier filter, a coverage factor k=3 was used to obtain a data reliability close to 99%, given the distribution shown by the residuals in the sphere fit.
Applying the filter, which corresponds to a relatively large coverage, ±3σ, drastically reduces the deviations from the CMM: around 80% reduction in the case of the Ce-1 and Ce-3 spheres.
This comparison was made after applying an outliers filter on the value of the residuals of ±3σ, given its importance in the reduction of the form deviation detected with the system with respect to that obtained with the CMM was confirmed.

According the data of XRD, the average grain size of ZnO is 15.1 nm consistent with the result observed by TEM (16.3 nm).
The possible reason is that too much MB darkened the solution leading to the reduction of light irradiation to the solution.

Analysis of data showed that the rate of temperature rise in ETC is higher than FPC.
This results in considerable saving of fossil fuel and reductions in CO2 emissions [4, 5, 6].
Temperature as a function of time on 30.01.2015 Based on the available data on the 29th and 30th of January 2015, it is clear that cloudy days along with higher value of humidty do ensure efficient rise in temperature.
Acknowledgments The authors would like to thank the Tapovan Senior Citizens’ Foundation, Kuppanur, Coimbatore, Tamilnadu, for supporting this project by the undergraduate students of Department of Mechanical Engineering, HITS, Padur, Tamilnadu and for providing useful data to carry out this work.

On the basis of the results of these experimental data, an orthogonal array experimental design was used to select more efficient degradation condition.
For all the samples, the reduction in the initial ammonium-N concentration because of adsorption was not significant.
The design matrix and experimental data were listed in Table. 2.
From the mathematical processing of the data, some results can be concluded as follows.

For generating the training data for neural network, four levels of all parameters are taken as shown in Table 3.
After learning about experimental data, the precision of model can be enhanced [6].
In the BP neural networks training, the ranges of inputting and outputting data are usually different.
Eq. 1 shows the transforming rule, x a y b a − = − （1） where x is the original data, y is the normalized data, a and b are the original minimum and maximum respectively.
Table 4 shows the experimental normalized data for training and verify.

The obtained data of experimental researches allowed to develop technology of removal of phosphorus compounds simultaneously with biological sewage treatment.
When using immobilized microflora, the reduction of phosphate concentration is somewhat higher than in the unit with free-floating microflora.
Of course, the anaerobic conditions created in the middle of the carrier to some extent improve the absorption of phosphates by microorganisms, but the ratio of aerobic zone and anaerobic zone in immobilized microflora is such that the aerobic zone is much larger than the anaerobic zone, where according to reference data the transition of phosphates back into aqueous solution takes place.
Experimental data show that the level of phosphate removal under anaerobic conditions depends primarily on the concentration of activated sludge in contact with the phosphate solution (with wastewater).
At a concentration of activated sludge of 3.5 g/dm³, the reduction of phosphates is vigorous, and after 8 hours of contact, the phosphate content is 0.18 mg/dm³.

The result of the data was then converted to a void fraction form.
The void fraction of this study is used to improve the prediction of pressure reduction.
Void fraction data is obtained by analyzing images captured using high-speed cameras and processed by image processing.
Measuring instruments used in this study include Mpx, data acquisition, temperature indicator, pressure indicator, airflow meter, water flow meter, and thermocouple.
Time Average results obtained from data processing using Matlab application are then reprocessed using Ms.

The calculated joint force value and tested data were listed in table 1.
It proves that the calculated shear force fluctuates near the tested data.
Table 1 shows that the calculated joint bending capacity is larger than the tested data.
Table 1 Comparsion of the calculated forces and the tested data Items Literature 1 Literature 2 Literature 3 Literature 4 Maximum value of calculated shearing force (kN) 512 488 488 488 351 351 351 351 Test shear value (kN) 400 493 544 60 210 250 250 420 Bending moment on the Flange caused by binding stress (kN·m) 12 10 10 10 0 0 0 0 Calculated value of caused by horizontal force (kN·m) 83 63 63 17 51 53 51 66 Calculated value of caused by vertical force (kN·m) 60 45 45 45 21 21 21 21 Maximum calculated bending moment (kN·m) 143 108 108 62 72 81 72 87 Bending moment value of joints tested (kN·m) -- 110 -- 54 54 78 65 109 Design suggestions.
To put it in another way, it is to determine the width of the flange with the inequality , in which stands for the reduction factor of the joint’s vertical bearing capacity and its value can be 0.9.

The instrument provided real-time data on the torque generated during vulcanization, enabling the determination of critical parameters such as scorch time, optimum cure time, and maximum torque.
The instrument provided real-time data on the torque generated during vulcanization, enabling the determination of critical parameters such as scorch time, optimum cure time, and maximum torque.
This reduction in tensile strength is likely due to the poor compatibility of the EG with the rubber matrix.
a) b) c) Fig. 1 SEM images of the sample containing containing EG50 (a), EG100 (b) and EG200 (c) The data presented in table 2 and Fig. 2 underscore the importance of EG in rubber formulations.
The data indicate that samples containing EG and APP had lower T-5wt%, T-20wt%, and Tmax values compared to samples without these additives.

Design of experiment, DoE is an efficient method for data analysis in statistics, and for obtaining valid results [22].
The measurements are repeated three times and the averaged Ra was taken for the analysis to obtain the statistically significant data for each test.
It can be used for a variety of purposes such as analyzing experimental, ordinal, or categorical data [3].
Recently, based on reviewed by [19], CS is widely used in application such as engineering, pattern recognition, job scheduling, networking, Object-Oriented software (software testing) and data fusion in wireless sensor networks.
"Reduction of surface roughness by Taguchi design: an approach for milling parameters."