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Through analyzing the effect factors which affect the anti-sliding performance of the up-layer bituminous pavement, combining with the investigation data of on-the-spot traffic volume and the testing data of on-the-spot transverse force coefficient, aiming at "Super-12.5" up-layer bituminous pavement this paper established an attenuation model of the anti-sliding performance.
At the same time accompanied by increasing of heavy vehicles and traffic vehicles higher speed bringing in unit of time, the surface's macroscopic texture depth decreases, and then pavement's anti-sliding capability decreases; the extent of reduction is in connection with the nature and composing of the aggregate. 2.4 Construction technology In order to ensure that the bituminous pavement has better durability in using period, we must ensure that the bituminous mixture have been compacted adequately in the construction.
Test data of the transverse force coefficients of "Super-12.5" grading Axle Load Times "x" (myriad times） SFC60 Axle Load Times "x" (myriad times） SFC60 Road Section 1 Road Section 2 Road Section 3 Average Road Section 1 Road Section 2 Road Section 3 Average 34.587 61 59 60 60.0 449.631 43 44 44 43.7 69.174 58 55 57 56.7 484.218 43 44 44 43.7 103.761 55 54 52 53.7 518.805 43 43 43 43.0 138.348 53 52 51 52.0 553.392 42 43 43 42.7 172.935 50 49 50 49.7 587.979 43 43 42 42.7 207.522 49 48 48 48.3 622.566 42 44 41 42.3 242.109 48 47 46 47.0 657.153 42 42 40 41.3 276.696 47 46 46 46.3 691.74 42 42 40 41.3 311.283 47 45 45 45.7 726.327 41 41 40 40.7 345.87 46 45 45 45.3 760.914 40 41 40 40.3 380.457 45 44 45 44.7 795.501 40 42 39 40.3 415.044 44 44 45 44.3 830.088 40 41 40 40.3 4 Establish an anti-sliding attenuation model Under the influence of the moving vehicles, the newly-built bituminous
"SPSS" software package is a kind of integrated computer-based data-processing application, and it is recognized as one of the best statistical analysis software packages.

Introduction and Literature Review With the inception of Rapid Prototyping (RP) a complete revolution in manufacturing industry was witnessed as the RP could directly manufacture parts from computer data.
As .STL file is the universally accepted data format for giving input to any RP machine, the method uses .STL format as input and generates another .STL file of the required geometry.
Fig. 5 Process flowchart for phase -1 The data of these newly formed vertices, facets and facet normal are then arranged in a proper format that represents the.
All the five models were then fed to the Stratasys’s Mojo 3D printer and the data for material requirement and build time were captured using the Mojo software.
All the data is tabulated below: Table 2 Detailed result from the Mojo software Sl.

Comparing the data in Fig. 1 and Fig. 2. the values ​​of thermal resistance in terms of sanitary and hygienic indicate are 30% -35% lower than the value by degree day of the heating period.
To reduce thermal and cooling demands, based on getting data, it is necessary to design enclosing structures by the maximum thermal resistance values.
Optimum Thickness of Thermal Insulation Material The above methods allow you to design enclosing structures observing and providing some regulatory data.
But unfortunately, the above methods do not allow us to identify the optimal data for designing the comfort microclimate systems.
Comparing the optimization data with the data given above, the energy efficiency of the building increases by 50-70%, when using the optimal thickness of the thermal insulation layer.

The generation of measurement data from a point cloud is even more demanding.
The previously known image processing algorithms are programmed only sequentially and the usage of increasingly complex data results in more computing time to process image data.
One is used as an MPI (Message Passing Interface) network and the other as a general data network.
An adjustment of the local luminance and the resolution of the pattern are performed based on these data.
The data processing problems that lead to a slow data processing speed for production purposes were discussed.

The measurement data are analyzed to predict the cause of the excessive interior noise in tunnels, and some suggestions are presented for improving the condition.
(a) Test data in tunnel (b) Test data on open field Fig.3 Noise spectra of point E at the pantograph seat of car 6 with different speeds Table 2 shows the total SPL, the maximum SPL and its frequency bands at different speed grades.
(a) Test data in tunnel (b) Test data on open field Fig.4 Interior noise distribution above the bogie in car 3 with a speed of 350 km/h In order to obtain the interior noise spectra above the bogie, the microphones were located at the positions with larger SPL and at the position 1.2 m high, at the center of the compartment.
(a) Test data open field (b) Test data on in tunnel Fig.5 Frequency spectra of monitoring points above the bogie in car 3 with a speed of 350 km/h In order to investigate the exterior noise near the bogie, microphone was installed at the bogie.
(a) Test data in tunnel (b) Test data on open field Fig.6 Noise spectra at the bogie of car 3 Among these interior measuring points, point B has the greatest noise level, and the maximum noise amplitude of point B is at 800Hz in car 3.

However, because of the sparse data they may bring about unsatisfied recommendation qualities.
The experimental datasets include ten groups of different sparse data which includes the same 733 users and 687 items.
According to the definition of the closeness concept, the higher closeness is, the less sparse the data set is.
The experimental data sets are shown in table 1.
(a) Movie Lens Data Set 1 (b) Movie Lens Data Set 2 (c) Movie Lens Data Set 3 (d) Movie Lens Data Set 4 (e) Movie Lens Data Set 5 Figure 2 Comparison of recommendation quality: cosine, adjusted cosine, Pearson and combinative method According to the experimental results, we can conclude that for different, the with our method is less than that of cosine, adjusted cosine and Pearson’s correlation.

Regression analysis of experimental data is carried out to obtain the correlation between cutting parameters and response variables.
Statistical analysis of the experimental data was performed to obtain the constitutive equations for the objective function.
Experiment data for milling of Cast Iron from D.V.V.
SPSS is an efficient tool having a number of important options for the statistical analysis of the data under consideration.
Optimization results of the same data carried out by D.V.V.

The article analyzes the stability of agro-ecosystem’s productivity taking sustainable development theory and wave theory as guideline, conducted field study of the research area taking ** as research case based on analyzing ** yearly grain output, and establishes relatively complete, clear and easy accessible evaluation target system for agro-ecosystem productivity stability through analyzing the constraints of the stability in the area and making full use of current statistical data with combination with actual situation.
It analyzes the stability of agro-ecosystem productivity from the aspect of both time and space with current indices and standardized data using synthetic index method and volatility index calculation method.
Land is thus more utilized for plants with economic profits or even for non-agricultural purpose, which leads to reduction of grain planting area and decrease of total grain output.
The systematic research and analysis includes the elements, relation between the elements, situation of ** county and villagers data. 17 indices are selected as per the characteristics of stability of production and the research outcomes on stability to reflect the overall condition of production stability in ** county.
Conclusion On the basis of yearly statistical data and field study data, the article analyzes the natural and social economic conditions of ** county systematically, looks for the factors restricting stability of agro-ecosystem productivity in ** county through variations of the years, establishes database for researching stability of agro-ecosystem productivity, and gives scientific basis for the establishment of evaluation guideline system for stability of ** county agro-ecosystem productivity.

This method makes the sensor data obtained more realistically reflects the crane structure condition; provides reliable data support for crane safety monitoring and safety evaluation.
Based on those researches, this paper presents an optimal sensor placement method based on Finite Element Method (FEM), which provides reliable data support for a gantry crane SHM System.
Fig.6 The sensors placement of the gantry crane Conclusions 1) This method carry out dynamic load stress analysis for the structure with virtual prototype, which make up for the lack of static analysis; Compared with the type test methods, Not only reduce the test cost, but also more flexible, and break through the restrictions of all types of extreme conditions. 2) The application of this method makes the sensor data obtained more realistically reflects the crane structure condition; which provides reliable data support for crane safety monitoring and safety evaluation. 3) This work is the foundation of a gantry crane SHM System; the promotion of this method will provide important technical support for the development of the crane SHM.
Reduction of structural noise inside crane cage by piezoelectric actuators - FEM simulation.

The paper emphasises the advantages of decentralised energy in times of war, including increased resilience of the power system, flexibility in load distribution and reduction of the risk of large-scale outages.
According to data from the NEURC (National Energy and Utilities Regulatory Commission), at the end of 2021, the following picture emerged regarding RES in Ukraine (Fig. 1).
The main advantages of wind energy are [22]: - low cost of electricity production; - ability to compete with nuclear, coal and gas energy; - no fuel costs, as the energy source is inexhaustible and available in unlimited quantities; - environmental safety; - electricity generation does not produce CO2, methane (CH4) or other greenhouse gases, which are the main cause of climate change, and there is no pollution from nitrogen oxide (NOx) or particulate matter, which cause acid rain, smog and respiratory diseases; - no risks associated with fluctuations in fossil fuel prices; - reduction of dependence on energy imports; - modular design and quick installation; - electricity generation volumes comparable to traditional energy sources; - uniform distribution of objects across the territory; - the possibility of conducting agricultural and industrial activities in parallel near wind farms; - the feasibility of using disturbed land in mining regions.
To this end, the wind energy potential for vertical and horizontal-axis wind power plants in the conditions of Kryvyi Rih for 2024 using archival meteorological data (observation interval – 30 minutes) from the Meteopost resource and coefficients of change in average wind speed depending on the height of the rotor location.
Number of windy days with different wind speeds in Kryvyi Rih in 2024, averaged per day Month The number of days with wind speed, [m/s] 1 2 3 4 5 6 7 8 9 10 January 2 7 8 7 2 1 2 1 1 February 1 2 4 6 6 4 2 3 1 March 2 3 7 5 5 6 1 1 1 April 12 5 3 4 2 2 1 1 May 5 12 7 5 1 1 June 2 8 9 7 3 1 July 9 14 5 1 1 1 August 3 4 12 7 5 September 1 7 7 8 3 2 1 1 October 1 4 6 5 8 3 1 1 1 1 November 1 5 11 7 1 1 1 2 1 December 2 3 5 3 9 6 1 1 1 TOTAL for the year 15 57 107 72 51 30 12 9 8 5 Analysis of the data obtained showed that vertical-axis wind power plants are more effective for the wind conditions in the region.