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Comparison of the two variants showed that of all the samples providing reliable adhesion of the coating to the substrate, the greatest reduction in the friction coefficient (by 30.2 %) was achieved at W = 5 kW, Spr = 25 mm/s and L = 85 mm.
Friction coefficients in the function of laser treatment modes for samples made from 40H13 steel without and with PG-CP4 coating Experiences Laser processing modes Friction coefficient Power, [kW] Longitudinal feed, [mm/s] Distance, [mm] Without coating With coating X1 (W) X2 (Spr) X3 (L) f1 f2 7 5 25 85 0.68 0.52 3 3 25 85 0.6 0.4 5 5 10 85 0.8 0.68 1 3 10 85 0.52 0.64 8 5 25 60 0.4 0.58 4 3 25 60 0.64 0.57 6 5 10 60 0.52 0.55 2 3 10 60 0.86 0.6 Comparison of both variants showed that the most significant reduction of the friction coefficient is characteristic of the coating treated in the modes of the 2nd, 3rd and 7th experiences.
Laser treatment of a PG-CP4 coated sample in mode of the 2nd experience results in a 30.2% reduction in the friction coefficient compared to the uncoated sample.
These data indicate an improvement in the tribological properties of 40H13 steel coated with PG-CP4.

The heat-treated samples showed a reduction in compressive strength compared to the as-received samples but exhibited improved elongation behavior.
The comprehensive compression test data are represented in Table 2.
As a result, there is a reduction in the material's strength and an improvement in the percentage of elongation.
However, there was a reduction in the material's compressive strength attributed to the presence of lamellar structures.

The experimental data allow to identify a metal-insulator transition (MIT) at the critical Ca concentration xMIT≈0.3, which agrees well with the predictions of double exchange model (V.M.
Although a lot of experimental data and theoretical investigations are available for the EuB6-based CMR systems (see, e.g., [1-5]), the nature of the dramatic reduction of the resistivity accompanied by the onset of ferromagnetism is still under question.
The substitution of Eu to Ca in Eu1-xCaxB6 system induces a monotonic decrease of the Curie temperature, which is in accordance with the earlier data [3].
We should especially note rather large values of Hall coefficient RH(70 kOe)~-1.4 cm3/C, which characterize the transient region below 40 K (see data for Eu0.6Ca0.4B6 in Fig. 1).
The data for x=0.4 are rescaled to be compared with the rest of the data.

It will send data to SIM900A via the serial port, and then sent the data to the remote server.
At the same time, the server sent data to SIM900A and then the data will be received via a serial port.
LPC17xx will have the corresponding processing according to the data type.
Table 1 shows the data format of receiving update package.
The same CRC code indicates that transmitted data and received data are consistent.

The dotted lines indicate a single cell from which the resistance reduction factor is derived in Fig. 1.
We then obtain mechanical stiffness data on thinned wafers using BOR test measurements.
The raw data is post­processed by fitting the displacement δ as a function of the force F to the following second order equation to determine the compliance, ∆δ = αF2 + βF + c. (2) where α, β, and c are constants to be determined.
The solid lines in Fig. 6 have a slope of 2.0, and Young's modulus extracted from the experimental data is 403 GPa.
The experimental data are obtained using the ball­on­ring configuration, as described in section IV.

Data outputs of dynamometer and gas analyzer were collected via Elimko PR-100 data logger and were transferred to main computer.
Because of this it was not found necessary for presented of these data.
For optimization of the test results, separately three sets of experiments were performed and average test data were used for the results.
The best reduction for NOx occurred in 360° with 30 ppm in 2600 rpm.
One of the solutions for these problems is the amount of diesel fuel for pilot ignition, which can be more minimised for the reduction of CO emissions.

By using routine computer processing, the data were presented as absorbance, normalized to the unit weight or specific surface area of a sample, which allows one to directly compare results obtained for different samples.
BET specific surface area (Ssp) was determined from the Ar thermal desorption data.
H2, CH4, CO, O2 and CO2 were continuously monitored using an on-line IR absorbance gas analyzer PEM2M, TCD, an electrochemical sensor for O2 and a polarographic sensor for H2 with the data acquisition and processing through a PC.
As for Gd cations, SIMS data do not reveal pronounced segregation within the method's sensitivity.
Small sizes of Pt clusters formed by the reduction of Pt 2+ cations not sintered at least in the course of the TPR run could be responsible for a high efficiency in H2 dissociation on Pt and, hence, a high flux of H atoms to the support required to ensure a high rate of reduction of the oxides by hydrogen [1].

The overall accuracy of sensors and data acquisition system is under 0.05%F.S.
Finally, complete the data processing on the basis of the test results and compare the obtained data with test results of other automotive wind tunnels and then come to an accurate conclusion.
The test is conducted with the car models made at the rate of 1:2 to obtain more accurate data.
There are certain errors between the test data, but on the whole, the error is very small.
Therefore, reliable test data can be obtained through automotive wind tunnel test conducted in it.

For this reason, strain gauges were connected to the data acquisition set and it was then attached to the charpy striker for the signal collection.
One of the problems that arise with this alloy is the reduction in its durability.
The input data of PSD method was the impact signal which was obtained from the experimental work.
The strain based on data acquisition set was used for the strain data measurement.
From time histories and PSD data, steel gives a higher maximum strain and PSD value compared to aluminium.

The model was re-parameterized with the data from the simulated operation database.
The training data is from process historical database.
Data Sources for Training The data for training is from the real time database of the process, recoded during half a year.
Then the model parameters are re-updated with the simulated data keeping the model structure fixed.
Bayesian networks model can reconstruct real-world complex system combining domain knowledge and statistical data, which can overcome the weakness of a completely data-driven or experiences-based method to model a complex system.