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These stresses of different modules obtained from the finite element analysis were compared and the considerable reduction of weight occurred was found and also the values are compared with the theoretical values.
Table 1 Required Input data for spur Gear design (Steel C45 material) Description Gear Pinion Material Steel C45 Steel C45 Number of teeth(Z) 44 17 Young’s Modulus(E) 2.10*105 N/mm2 2.10*105 N/mm2 Speed (N) 635rpm 1500 Power (P) 25 25 Poisson Ratio 0.3 0.3 Normal Module (M) 6 mm 6 mm The gear design problem are taken as, a pair of spur gears with pinion 17 teeth to transmit 25 kW at 1500 rpm.
Table 2 Required Input data for spur Gear design (Steel 40Ni 2Cr1Mo28 material) Description Gear Pinion Material Steel 40Ni 2Cr1Mo28 Steel 40Ni 2Cr1Mo28 Number of teeth(Z) 44 17 Young’s Modulus(E) 2.15*105 N/mm2 2.15*105 N/mm2 Speed (N) 635rpm 1500 Power (P) 25 25 Poisson Ratio 0.3 0.3 Normal Module (M) 5 mm 5 mm Normal Pressure Angle 20o 20o Table 3 Results obtained as per AGMA Standard for spur Gear design Description Formula Used Steel C45 Steel 40Ni 2Cr1Mo28 Pitch Diameter (D) m*z1 102mm 85mm Circular Pitch (Pc) πd1/Z1 18.84mm 15.70mm Diameter Pitch (Pd) Z1/d1 0.16666 0.16666 Gear Ratio (i) Z2/Z1 2.58 2.58 Centre Distance (a) mZ1+Z22 183mm 152.5mm Pitch Line Velocity (v1) πd1N160 8.011m/sec 6.675m/sec Force exerted (Ft) pv*ko 3120.67N 3745.31N Transverse Force (Fr) Ft*tan∅ 1135.83N 1363.18N Addendum 1m 6mm 5mm Dedendum 1.25 m 7.5mm 6.25mm Minimum total depth 2.25 m 12mm 11.25mm Bottom Clearance 0.25 m 1.5mm 1.25mm Fillet Radius at Root 0.4 m 2.4mm 2mm Module (m) 2C/(Z1+Z2)
The results clearly shows that, reduction of weight for about 22% occurs in Steel 40Ni 2Cr1Mo28 when compared to Steel C45.
H., Bar, I., 2001, “Multiobjective optimal Design of Cylindrical Gear Pairs for the Reduction of Gear Size and Meshing Vibration”, JSME International Journal, Vol.44, No. 1, pp 291-292 [6] Prof.

The result of this study presents data reflecting actual structure of availability and use of energy resources, which allows to identify necessary resources for ensuring sustainable social and economic development.
Data and Methodological Approaches Global energy intensity (total energy consumption per unit of GDP) fell down by 1.2% in 2022, faster than in 2021 but slower than the historical trend (-1.9% per year from 2010 to 2019).
This is still insufficient compared to the reduction of more than 3.5% per year required to achieve the 2°C scenario.
World Energy and Climate Data-Yearbook 2023. https://energystats.enerdata.net/total-energy/world-energy-intensity-gdp-data.html
[11] World Bank comparative data on Azerbaijan and Kazakstan https://ourworldindata.org/energy/country/azerbaijan?

Vibration Data Analysis in Presence of Distorting Pulses O.S.
Afterward, the approach is applied for the restoration of vibration data obtained by microwave measurement facility.
The extraction problem is formulated as follows: using measured data )(tg , it is necessary to determine informative parameters of sinusoid.
Naturally, experimental data had noise.
Pappa: An eigensystem realization algorithm for modal parameter identification and model reduction.

Feature selection is a widely used preprocessing technique in text mining, where a subset of features is chosen from the original for further data analysis.
Extensive experiments on benchmark data set demonstrate the performances of compared methods.
On each data set and each selected feature dimension, two widely used classifiers, i.e.
Many researchers are obsessed with the choice of feature selection models in many large-scale data applications.
Data Eng. 25(3) (2013) 619–632

The Table 2 shows all the numerical data to perform the proposed adjustment by least squares.
Consequently, the value of C has been calculated from the Equation (9), that has been implemented with the yield limit (σY) data obtained at the lower strain rate ε = 0.000520833 s-1 that has been implemented in the tensile tests (lower testing speed).
Numerical data to perform adjustment by least squares.
The sequence object of study has been commercially proposed by the machine manufacturer, ZT-Italy [10], providing us the technical data with the technological capacities of the industrial wiredrawing machine regarding to in terms of force (Fd) and power (P) capacities, as shown in Table 3.
Technical data of the industrial draft proposed by ZT-Italy company.

The user can also review offline his paths and the geo-localised driving style data thanks to the Smartphone’s GPS.
The EcoSmart application replaces the OBD device and the consumption data, that can be obtained from the car engine, approximating fuel consumption just based on the dynamic of vehicle motion that is evaluated on GPS data.
The experimental phase of the Matrix Data Collection calibrates the specific matrix of consumption and the occurrences matrices.
These matrices are the input data of the program at the base of EcoSmart.
The Trip Data phase constitutes the output of the program.

The observed reduction in flexural modulus and the increase in damping factor after loading are compared with virgin.
The load/ unload deflection test data of the specimen for a fixed maximum load with uniform increments was utilized to plot the hysteresis loop(Fig. 4&5).The Ed corresponds to the area enclosed by the hysteresis loop[12].
The large fibre interaction angle within the core of C&D laminates is responsible for the reduction of FM [5].
The FM shows a gradual reduction on cyclic loading for both the frequency with an observed marginal deviation from one another between 10*103 cycles and 40*103 cycles.
The presence of 45/-45 core, having 90 0 interaction angle induces reduction in the FM on loading.

Furthermore, it was estimated that the effect of magnetic texturing was equivalent to the reduction in the density of trap by 5.9×1012 cm-2.
By the addition, reduction in the grain size initially occured up to 1 at%, and then the size recovered by the further addition.
Corresponding to this microstructual variation, reduction and recovery of mobility were observed [5].
Open circle indicates the data of magnetically textured zinc oxide.
The mobility enhancement by the reduction of the density of trap can be described as follows.

The Sup-19’s test data showed the linear relationships between the uniaxial penetration test results and the triaxial Shear test result as followed: τtriaxial＝0.82τsingle; τmax triaxial＝0.80τmax single Strength change with different temperature.
When the temperature changed, samples with PG64 asphalt and PG70 asphalt have different strength reduction status, as shown in Table 5.
Table 5 Shear strength of Sup-19 with different asphalt binder types of asphalt 40℃ 50℃ 60℃ shear strength (MPa) ultimate shear strength (MPa) shear strength (MPa) reduction proportion (％) ultimate shear strength (MPa) reduction proportion (％) shear strength (MPa) reduction proportion (％) ultimate shear strength (MPa) reduction proportion (％) PG64 0.726 0.845 0.492 32.2 0.551 34.9 0.321 55.8 0.364 56.9 PG70 1.216 1.609 0.802 34.1 0.946 41.2 0.604 50.3 0.691 57.0 It can be seen in the table 5 that the shear strength for two kinds of mixture declined by at least 50% when 60 ℃.
Though two kinds of asphalt have the similar reduction proportion at 60℃ and no apparent effect of different asphalt binder on shear strength for asphalt mixture in high temperature, however, test results had some change at 50℃.
So if using the uniaxial penetration test result as the criteria test for shearing properties, reasonable structure factor for shear strength should be considered. 2) The Sup-19’s test data showed that shear strength and ultimate shear strength with two methods have a certain linear relationship: τtriaxial＝0.82τsingle; τmax triaxial＝0.80τmax single 3) In the uniaxial penetration test, the decrease of shear strength as the temperature increase was faster than that of ultimate shear strength.

Introduction One of the problems experienced in power system is the large amount of data set and system complexity.
Step 2: Initialize the related parameters, such as the population sizing, the sizing of particle, the maximum number of iteration, and the power flow data i.e. linedata and busdata.
For instance, when load increased to 100MVar, the transmission loss is minimized to 138.1MW (3.91% reduction) with ten unit SVC installed at the system using EPSO technique, while, the loss is minimized to 138.2051MW (3.84% reduction) and 138.2784MW (3.79% reduction) using PSO and EP techniques, respectively.
With the same loading condition, the loss is minimized to 137.6525MW or (9.22% reduction) with three units of SVC is installed into the system using PSO technique.
Although, with the same loading condition, the loss is minimized to 138.2983MW or (12.44% reduction) with three units of SVC is installed into the system using EP technique.