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From an environmental point of view, the remarkable reduction of the thickness of structural elements made of prestressed masonry, as in the case of the sail that has a thickness of 20 cm and a height of 3.5 meters, has as a direct result a considerable saving of building material.
From the results obtained by research and shown in Fig. 2, we can note that for a small two-story building in a seismic zone, if constructed with the procedure of prestressed masonry with blocks of natural stone, we get a reduction of mass, measured in terms of volume of used material, equal to 44% compared to reinforced masonry and 67% compared with ordinary masonry; this produces a significant reduction in the structural weight of the entire building [8].
In terms of environmental impact it has been seen that the reduction of embodied energy is equal to 41% compared to reinforced masonry and 61% compared to ordinary masonry.
The prestressing load which was calculated takes into account the characteristics of the building and of the site where the work will be done, the geometric data and the weight of the panel, the stresses due to wind and earthquakes, and the strength of the basalt, which is higher than 100 MPa.
The case study, analyzed in this paper, has highlighted that the new building envelope (vertical and horizontal) implies a reduction of Primary energy requirement equal to about 40% and a significant improvement in inside comfort, compared to the original enclosure.

In case of NS materials it leads to intensification of dislocation density reduction in grain boundaries due to increasing ratio between the grain surface and its volume and shortening of diffusion distances.
The additives in the second brackets in the Eq. 4 define the rate of dislocation density reduction in the material.
The last additive in the Eq. 4 describes the rate of lattice dislocation density reduction in the grain boundaries.
The coefficients considering the described processes of the dislocation density reduction in the evolution equation are determined as
Results of modeling and discussion Experimental data [2] obtained for hot-pressed samples of the alloy Al 6061 (Mg 0.8…1.2, Si 0.4…0.8, Cu 0.15…0.40, Cr 0.15…0.35, Mn 0.15, Fe 0.7, Zn 0.25, Ti 0.15 wt. %) annealed at 530 ˚С with 2-hour holding and ice-water-cooled were applied for computational modeling.

Performed calculations by optimization of reductions modes on the mill 1700 of JSC "ArcelorMittal Temirtau" with shapes of 0.5×1000 mm and 0.7×1000 mm made of steel AISI 1008.
As a result of calculation on the computer optimized the variants of reductions modes and tensions, providing rolling of these shapes and satisfy specified constraints.
Data comparison of workshop and optimized rolling modes are shown in Table 4.
Redistribution of reductions in stands leads to some increase of rolling power in the third cage (Fig. 7).
The results of the optimization calculations showed that with the increasing the front tension and relative reduction is seen a slight reduction of the rolling force and power rolling, except for the cage number 3.

The database collects data including battery SOC, battery voltage, discharging current, temperature…etc.
According to cloud data analysis, charging current 5C/10C/20C under rapid charging grid’s load monitoring is possible; the process of environmental development and hardware planning can train students to use hardware, firmware and software design platform for the skills development for future employment.
Introduction In Taiwan, there are hundreds of millions of oil-fueled vehicles and motorcycles, has caused a lot of environmental pollution and oil consumption, electric vehicles are expected to occupy a signicant portion of the automotive market share in the near future, the use of Li-ion(LiFePO4) battery as a vehicle motor power to replace the fuel, is the best choice of today's environmental issues; An electric vehicle has only an electric drive-train powered by Li-ion battery; in the past, motor vehicles is the inverter-driven with lead-acid batteries, in order to slim and light in weight, most of the current cell has replaced by Li-ion battery with its weight reduction, energy saving effect and high energy density; The cost and performance of the electric vehicle is primarily determined by the type of battery and its management system ; but when nearly one million electric vehicles on electric system, the load flow of charging current and large information of the battery will impacts
According to the cloud data, charging current under rapid charging grid’s load monitoring is possible [4]; the process of environmental development and hardware planning can train students to use hardware, firmware and software design platform for the skills development for future employment.

It sets up the new data model.
These data can construct a matrix.
It reaches the purpose of dimension reduction.
They are 400 groups' data.
Every group data has 1024 points.

Generally three types of data are needed when performing availability study: Process flow diagram (PFD) supported with P&ID; Reliability and Maintainability (R&M) data; and maintenance system data.
Some equipment in the system including type 1 and 2 pumps, however, are found having incomplete or missing data.
Flow rates data also provide insight on the existing configuration of pump operation.
A simulation based on OREDA data shows that the availability is 99.87, relatively better than the plant simulation data indicating that the system real performance is slightly lower than the industrial average.
Running of simulation using OREDA data (2-out-of-3 configurations) resulted in availability of 99.44%, a mere 0.35% reduction from the base case.

The on-going trend in product miniaturization, together with the increasing quality and reduction of costs of micro-components, leads to the need of a robust process design, which might additionally avoid the occurrence of defects in the workpiece.
One approach is seen in an adaptive control system based on a metamodel processing the data of online measuring.
This maintains the maximum rib height within defined tolerances, independently of process noise, leading to a drastic reduction of number of defects.
The resulting values show the same trend as experimental data (Fig. 7a and 7b).

The trend towards hybrid materials consisting of metals and polymers is strongly driven by requirements such as weight reduction and improved functionality.
Increasing demands for integrated functionality and reduction of weight require a smart choice of different materials [1].
The combination of fiber reinforced polymers and metals allows new approaches for load-specific designs and, thus, weight reduction [2].
There, the data points of Figure 4 are summarized and given in grey color.
Interpreting this data, the general trend of increasing strength with increasing surface area is found again.

Then the collected data were sent into the server in real time.
Fig. 4 LabVIEW application software realization diagram Data acquisition.
The system connects the data acquisition by differential mode.
Meanwhile, the bottom functions of DAQmx are applied to program the data acquisition program (see Fig. 5), which acts as the bridge between data acquisition card and LabVIEW application software.
Fig. 5 The data acquisition program Fig. 6 The realization of wavelet denoising Analysis and calculation.

All experiments showed three-body abrasive wear and a reduction of one order of magnitude in wear coefficient for two coated samples: 2,58∙10-12 m³(Nm)-1 to substrate, 5,4∙10-13 m³(Nm)-1 to Ti+TiN film and 7,22∙10-13 m³(Nm)-1 to Ti+TiN+ZrN film.
From Eq (2) is possible to establish wear coefficient values, both coating and substrate, by linear adjustment of data.
For wear volume calculation, aiming reduction on edge effect, internal diameter values of wear crater has been used.
With the load increase, hardness values present reduction and become similar to substrate hardness, probable because the indenter cracks the coating for higher load.
Hutchings, Methods of data analysis for the micro-scale test on coated systems.