Search results

Collected a large number of data from 2003to 2011 of maintenance cost for mining dump truck, established the mathematical models of maintenance cost and forecast of economic life of mining dump truck through the method of mathematical statistics regression analysis, found the rule of operation, maintenance cost overhaul and renew, forecasted the economic life of mining dump truck scientifically for 11 years, according to the economic principle of overhaul , judged whether need third overhaul and provided a basis for evaluating the economic life of domestic mine use electric wheel trucks.
According to a large open pit mine 28 630E 254T large mine electric wheel car 2003-2011 operating data and maintenance costs, fitting for a life-cycle model car, accounting for 67% of the mining field in volumes use mine electric wheel car extensive representative and authenticity.
Collection the data 3 times before overhaul and after electric wheel car overhaul, purchase fee about 8.87 million Yuan.
Conclusions Based on a large open pit copper mine run electric wheel car, the maintenance of the actual situation, collected 28 units of ore stop with electric wheel vehicles 2003-2011 annual operating and maintenance cost data, comprehensive economic management theory of modern equipment, the mathematical statistical regression analysis., to establish a mathematical model of the cost of day-to-day maintenance of the mine electric wheel car.
K. et al.An assessment of drag reduction devices for heavy trucks using design of experiments and computational fluid dynamics.

This paper presents a layered error resilient scheme for Set Partitioning in Hierarchical Trees (SPIHT) coding which incorporates the Multiple Description Coding (MDC) into the data partition.
Mohr [3] presented the Unequal Loss Protection (ULP) framework to protect progressive data.
The state of art hybrid technique was proposed in [4], which formed an ULP framework by combining the PZW method with permuted systematic Reed-Solomon to ensure that all received data was decodable.
Yang [8] incorporated the data partitioning and multiple description coding into the SPIHT encoding pass and implemented sophisticated interpolation techniques at the decoder.
Shih-Hsuan Yang et al. [8] proposed a simple and robust scheme for SPIHT with variable-size packetization, which incorporated the data partitioning and multiple descriptions coding into the SPIHT encoding pass.

The generated diffraction data are compared to standard data on minerals from the ICDD mineral powder diffraction file, which contains data on over 3000 minerals.
The coated samples have similar standard minerals and diffraction data.
The data indicates that Zn-6MnO2 exhibited the most substantial mass gain, measuring at 0.30 g.
It's conceivable that process parameters played a role in the reduction of mass gain as MnO2 content increased [22–24].
Table 5 and Fig. 1 present the polarization data and polarization curve of the Zn-MnO2 coated sample in 3% wt NaCl environment.

Data on the colony growth were analyzed by analysis of variance (ANOVA).
The data in the same column followed by different letters are significantly different at 0.05 levels.
Statistical analysis of the data was performed using SPSS 11.5 software.
The data in the same column followed by different letters are significantly different at 0.05 levels.
Statistical analysis of the data was performed using SPSS 11.5 software.

Feedstocks blending method is motivated by cost reduction and property enhancement.
The engine and dynamometer were controlled by a control panel equipped with data acquisition, logging and sensors.
A 250 cycle pressure data were collected with resolution of 0.25º crank angle.
The data cycles were averaged using computer program in order to eliminate variation from cycle to cycle.
Data acquisition unit, 13.

While standing wave heat engines are inherently smaller, a reduction in size could be considered which may involve curvatures as compared to the straight tube conventional systems.
The latter gives velocity data over a large area which is favorable in thermoacoustic experiments.
Twenty sets of data were collected each for before and after the curvature 0.5 seconds apart.

As-deposited Ti72’s tensile properties with comparative data from the literature also provided [21].
Fatigue characterization of composites, detailed in Reference 2, involved testing four geometries to assess data variability and issues like buckling under fatigue loading.
The fatigue strength of these ceramics was found to be between 1.5 GPa and 2.5 GPa as deduced from the experimental data with certain details about their behavior.
The data show that the combination of TPMS scaffolds and SiOC ceramics significantly improves the specific strength and thermal properties of the materials.
Guo, “Usage pattern analysis of Beijing private electric vehicles based on real-world data,” Energy, vol. 167, pp. 1074–1085, Jan. 2019, doi: 10.1016/j.energy.2018.11.005

The experimental data were analyzed using five non-linear isotherm models: Langmuir, Freundlich, Sips, Tempkin and Dubinin – Radushkevich.
Kinetic studies have shown that although the adsorption data partially followed pseudo-first-order and pseudo-second-order equation for different time, it was well expressed by pseudo-second-order model. 1.
In this study, equilibrium data were analyzed using the Langmuir, Freundlich, Sips, Tempkin and Dubinin – Radushkevich isotherms expression (Table 2) and the plot of non-linear form of these isotherms were shown in Fig. 4 Figure 4.
Plots of Langmuir (a); Freundlich (c); Sips (c); Tempkin and Dubinin – Radushkevich (d) models Comparison with the root mean square error (RMSE) and the nonlinear chi-square test (c2) values beetwen Langmuir and Freundlich models, it is clear that the experimental data was fitted better in with Freunlich isotherm which correspond with the heterogeneous surface of g-MnO2 nanomaterial.
However, evaluating the correlation coefficients (R2) showed that the Sips isotherm described the data appropriable than Langmuir and Freundlich isotherms.

Using the data of years 1975-2000, Liu Lancui applied STIRPAT model to analyze the influence of the population, real per capita GDP, energy intensity, the urbanization level, and the proportion of total population who were aged between 15 to 64 in countries with different incomes on carbon dioxide emissions[9].
In 2009, the value of energy consumption of each urban resident was 330 kilograms of standard coal, which was 1.8 times of 185 kilograms of standard coal consumed by rural residents(data source: China Statistical Yearbook 2010).
In this paper, the model uses the time series data from 1980 to 2009 and Model variables are as Table 1 shows.
1001.6 2516.0 Data source: China Statistical Yearbook 2010 and China Energy Statistical Yearbook 1980-2010.
[7] Shi A: The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data, Ecological Economics, Vol. 44(2003), pp.29-42

Data were measured by tape and through clothing.
All measured data were preprocessing in Matlab.
Data obtained from the battery through the tape are: RL_GND_NOTCH, NOTCH, ECG, ECG_MOVEMENT.
Data obtained from the battery through clothing are: RL_GND, NOTCH, ECG.
Data received from the contactless network through the clothing are: RL_GND, NOTCH, ECG [3].