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Initial data for thermodynamic calculations were taken from the sources [15-19].
However, due to insufficient reference data for fluorotitanates, the calculations were carried out using indirect methods [20].
TiO2 + 2NaF + 4/3AlF3 = Na2TiF6 + 2/3Al2O3 (10) 3Na2TiF6 + 3Al = 2Na3AlF6 +3Ti + AlF3 (11) The data obtained show that at temperatures up to 1073 K (800 °C) there is a thermodynamic possibility of titanium reduction in the silumin melt, therefore, titanium dioxide can be used for modifying silumins.
The results of mechanical tests and chemical analysis data are shown in Table 3.
The experimental data show that melt treatment with titanium dioxide together with fluoride salts leads to the partial reduction of titanium and its transfer to the AK12 alloy, which confirms the accuracy of the thermodynamic calculations.

LCA eBalance software (version 4.0) was used for LCA modeling and the background data were obtained from Chinese Core Life Cycle Database (CLCD) implemented in eBalance.
The foreground data of supply chain input were then converted into units of greenhouse gas emissions.
Each instance of foreground input data was multiplied by the relevant GWP value and then summed across the product life cycle.
The internal or external project executives only need to collect foreground data for the most commonly used materials and processes which are relevant for the company and can also avoid companies from investing much in data collection.
Ltd. for providing supply chain information during data collection process.

Zhangjiakou rainfall data were analyzed for many years, the rainfall from April to October accounted for 94.10% of the rainfall throughout the year, the rainfall from May to October accounted for 87.48% of the rainfall throughout the year.
Seasonal reduction coefficient calculation often considers the comparison between the rainfall data in the months that daily temperature above 0℃ and the rainfall data throughout the year.
According to the actual monitoring data of many northern city, the water quality laws are roughly the same or similar, combined with shortage of water resources in Zhangjiakou, this paper suggests Zhangjiakou City initial abandon flow coefficient adopts 0.9.
According to the data, excluding the factors of seasonal reduction, rainwater runoff initial abandon and runoff coefficient, the average annual rainwater resources potential of this city is 8296.5 × 104 m³.
Through the analysis on the related data in study region, the calculation formulas of the storage tank capacity and annual rainwater collection are derived.

All of the test data obtained from all instruments for different composition of Samarium doped YIG nanoparticles/nanofluids will then be recorded and tabulated for discussion and analysis.
The data simplified above shows that as the doping composition of samarium into YIG increases, the magnetic saturation of the sample becomes higher in value.
The reduction of mobility ratio helps to generate a better sweeping process.
Table 2 and Fig. 4 present the data obtained from viscometer and shows that the viscosity reading of each sample under the presence of EM increases.
From the data obtained from experiments which have been done in this research, author believed that the doping of Samarium doped YIG nanofluid under the presence of electromagnetic waves is theoretically improving the oil recovery in EOR process.

Dynamic Data Mining.
Field measurement system various real-time information can be obtained, such as drilling data, log data, logging data and formation evaluation data.
Then these data are transferred to the data mining system module after data processing, which includes a series of handling processing such as noise reduction, type conversions, missing handling, and data description.
The passed data by dynamic data acquisition is the real-time data based on the time slot, and the boundary data might be ignored taking into account of data processing process, therefore, the overlapping Windows technologies are selected to deal with dynamic real-time data.
Data Mining.

WARDM Algorithm The WARDM model proposed in this paper is divided into three phases: data input stage, data mining stage and data output stage.
At the same, with the reduction of the wminsup, the advantage is more obvious.
The WARDM algorithm has good stability and is more applicable to data mining in large-scale data sets.
Management of Data, 1993: 207-216P
Neurorule: a connectionist approach to data mining.

The effects of heating were investigated by many authors [1-8] and available data could be sufficient.
Unfortunately, the data available is somehow limited.
The data of the effects of gamma radiation is more limited and was also summarized by Hilsdorf et al. [21].
There is very few data presenting the effect of gamma rays and neutron radiation.
The recorded data will serve for future accurate extrapolation.

A parameter reduction method based on fuzzy rough sets was proposed.
Fundamentals on Fuzzy Rough Sets A structural data used for classification learning can be written as an information system, denoted by , where U is a nonempty and finite set of samples {x1, x2 ,..., xn}, called a universe, A is a set of attributes (also called features, inputs or variables) {a1, a2, ... , am} to characterize the samples.
The objective of rough set based attribute reduction is to find a subset of attributes which has the same discriminating power as the original data and has not any redundant attribute.
Fig.2 Dependency Function There are 6 parameters in the reduction set.
A forward greedy search algorithm is proposed for attribute reduction.

The effect of DOC + CDPF on exhaust reduction is also investigated.
There are so many random factors during the test (such as traffic light etc.) constantly that is difficult to handle, therefore the conditions under the accelerations which are not corresponded with the ones in [-0.1, 0.1] m/s2 would be eliminated in the data processing.
As is showed in Fig. 2, with the reference of the timely velocity showed in displayer and the driver’s experience, the data can be seen almost staying near the testing condition.
THC emission reaches a mean reduction of 68.2%. 1.3 The comprehensive gaseous emission factors in steady conditions The comprehensive gaseous emission factors with and without DOC+CDPF and reduction efficiency in steady conditions are showed in Table 2.
THC emission reaches a mean reduction of 68.2%

The mechanisms involved in the compaction of powders were detailed through the fit of compressibility data to a theoretical model originally developed for titanium powders.
A further reduction in costs may be achieved depending on the type of powder used and the technique employed.
The obtained apparent densities decreased with the reduction of the powder size (Table 1).
Table 3 shows parameters obtained from the fit of experimental data according to Eq. 1.
The excellent correlation of the experimental data to Eq. 1 was observed through the R2 values in Table 3.