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PERFORMANCE EVALUATION INDICATORS FOR ELECTRIC-MECHANIC TRANSMISSION Fig. 1 shows the structure sketch of the double side motors coupling drive transmission which is composed of two motor/generators and their speed reduction mechanism[1], power coupling mechanism and shift mechanisms on each side.
The gear ratio of motor speed reduction mechanism is .
g) Allowable rotate speed of planet gear bearing constraint[3]: (20) (21) (22) Where , and are the allowable rotate speed of planet gear bearing of the motor/generator speed reduction mechanism, power coupling mechanism and shift mechanism.
Fig.4 Evaluation process Table 1 Transmission parameters contrast Design variables /(r/min) Original data 3 10000 2 3.3 2.7 Optimization data 2.80 8000 3 2.82 2.79 Fig.5 and Fig.6 show that the end point of power factor curve at low speed gear and the starting point of power factor curve at high speed gear are superposable, which means .
Table 2 Steering renewable power mechanical recirculation utilization rate contrast Item Original data Optimization data Rate of change(%) 1.5 2 —— 38.6 27.4 —— 37.1 25.4 -31.5 0.78 0.87 +11.5 1.5 2 —— 21.2 14.4 —— 19.7 12.4 -37.1 0.82 0.91 +11.0 1.5 2 —— 18.7 12.5 —— 17.2 10.5 -39.0 0.83 0.92 +9.8 1.5 2 —— 12.1 7.5 —— 10.6 5.5 -48.1 0.87 0.95 +9.2 CONCLUSION a) According to the electric-mechanic transmission’s characteristics, straight running performance indicator and steering performance indicator are proposed in the paper.

Also behavioral data were analyzed by ANOVA using main effects design with taking into account Greenhouse-Gesser adjustment.
Hours of individual feeding (10-12 AM) were excluded from analysis of behavioral data.
Daily monitoring showed a reduction in the general locomotor activity of animals treated with nanosized titanium dioxide.
The rats which were given nano-TiO2 showed significant shift of the EEG spectra to low frequencies, which is consistent with behavioral data.
Taking into account the EEG data, this type of behavior probably should be regarded not as a calmer one but as a more depressed behavior.

Obviously, the reduction of test data would cause the reduction of data accuracy rating, and some quality problems and potential safety hazard would be disregarded at the same time.
In addition, this paper adopts test data based on tire laterodeviation characteristic, and chooses UA tire model which considers tire laterodeviation characteristic of sideslip[3].
In addition, we can also throw countertorque in main speed reduction gear to reduce the speed.
In the experiment, V1 are got 1, 1.05, 1.1, and 1.15 to proceed gradually, and we overlay every obtained test results data curve.
From Fig. 8 to Fig. 11 are repeated test data overlay speed, course angle, deceleration and lateral displacement curve graph.

Unlike the traditional association-based multi-target tracking approaches, it avoids the so-called combinatorial disaster due to data association.
The data association and track continuity problems for the SMCPHD filter have been discussed in [10, 20-21].
Future work aims at studying the proposed gating strategy on the data association of the GMPHD done similarly as in [22] and developing the GMPHD incorporating Doppler information for 4-dimensional radar.
[21] Kusha Panta, Ba-Ngu Vo, Sumeetpal Singh, “Novel data association schemes for the probability hypothesis density filter,” IEEE Trans. on Aerospace and Electronic Systems, vol. 43, no. 2, pp. 556–570, Apr. 2007
Clark, Ba-Ngu Vo, “Data Association and Track Management for the Gaussian Mixture Probability Hypothesis Density Filter,” IEEE Trans. on Aerospace and Electronic Systems, vol. 45, no. 3, pp. 1003–1016, Jul. 2009

Regression analysis model based on the Path-STIRPAT model data Data.
The reference data in this paper is cited in the , and defined variables are shown in Table 3-1.
As shown in Figure 3-2, the actual and fitted curves of the amount of CO2 emissions fit well to a high degree to 0.98, so that it is not hard to see that the imitative effect of the model is very good, and based on the original data, the model has a strong predictive function.
For Beijing, improving the technical level and developing high-tech industry are still the most important ways in CO2 reduction.
Study on Influencing Factors of COz Emissions from Industrial Energy Consumption: An Empirical Analysis Based on STIRPAT Model and Industrial Sectors' Dynamic Panel Data in Shanghai [J].Journal of Finance and Economics. , 2010, 36(11): 16-27

An overall reduction of defects was observed with decreasing growth pressure while the surface roughness increased.
Another issue is 4H-SiC epilayers grown on 4°off-axis substrates at high rates usually suffer from step-bunching and triangular extended defects [12,13] even though 4° off-angle substrates have attracted much attention because of the reduction in basal plane dislocations (BPDs) density and waste of ingots, especially for the large diameter ones.
An overall reduction of defects was observed with decreasing growth pressure.
Findlay, SI Chemical Data, 4th ed.; John Wiley & Sons: Australia, (1998); p.115 [9] S.

These metrics underscore the precision of the pH measurements, instilling confidence in the reliability of the acquired data.
This temperature-dependent behavior can be attributed to the reduction in viscosity and density at elevated temperatures.
The collected data serves as a foundational step for optimizing the performance of L-Ascorbic Acid -NADES, allowing for the customization of their properties to suit specific applications.
Ahmad, Synthesis and physico-chemical characterization of novel Epsom salt based natural deep eutectic solvent, Chemical Data Collections, 44 (2023) 101004
Deutsch, Ascorbic acid and dehydroascorbic acid interconversion without net oxidation or reduction, Analytical biochemistry, 247 (1997) 58-62

K-means algorithm Theory K-means algorithm is a clustering method in data mining technology.
The peak time data in the following table ,the data of 1-20 is the peak times of ginsenoside Rb1 and ginsenoside Rg1 in radix notoginseng,the data of 21-40 is the ginsenoside Rb1 and ginsenoside Rg1 in American ginseng.
Using the aiNet algorithm on the 40 sample data in Table 1 for simulation.
Putting the forty set of data as the test sample data set, using k-means algorithm to cluster this data .
R. (1992), Fuzzy Models for Pattern Recognition: Methods that Search for Structures in Data, New York: IEEE Press

The pressure reduction as the increase of roughness can be neglected compared to the normal pressure.
Data for the simulation model were obtained from experiment information.
Primary data include pipe geometric characteristics and materials arejust as same as the experiment done by Anton Bergant[5].
Figure 4.Model of the fluid area (Detail View) The Reynolds numbercan be calculated form the data above, and as this model accord with boundary layer theory, the thickness of boundary layeralso be obtained from corresponding formulas.
Flow velocity under different roughness For further study, detail pressure data of 0-0.3s and 0.7-1s are plotted separatelyin Fig.10.

The calculated grain size from XRD data have been verified using transmission electron microscopy (TEM).
To verify the particle size calculating using XRD data, TEM studies were carried out using Philips CM-12 Transmission Electron Microscope (TEM).
The values for lattice constants were obtained for all the samples using XRD data with an accuracy of ±0.0002 Å.
Similar trend was found in Cu-Cd ferrite and in Ni-Co ferrite with aluminum substitution [2, 10] Fig. 2 present the TEM photograph of x=0 sample, which show that the particle sizes in nanometers agree with XRD data.
TEM analysis confirmed the measurements of nanosize by XRD data.