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In order to solve the multidimensional data model and relational data model,query between the two-way data system, data cleansing, data conversion, distributed data accuracy and consistency control problem, this paper described the concept of grid related, the global data mining combined with local data mining is proposed based on local information based on the concept of a global grid of data mining algorithm, and the mining process was divided into ETI.
Data mining which is called Knowledge Discovery in Database is to extract or mine knowledge from large amounts of data.
Association analysis is to find association rules hidden in the data and the rules describe some interesting relations of the items in the given data set [2].
Shao :The reduction for two kind of generalized concept lattice.
Zhang :Knowledge Reduction in consistant decision formal context.

The temperature 1150°C was chosen on the basis of preliminary reduction experiments in the muffle furnace and according to the data of the thermodynamic analysis [11-12].
However, the iron reduction was incomplete.
For complete reduction of iron, it is needed to increase either temperature or time of reduction.
Thereby, only increase in reduction time is possible to perform the complete iron reduction.
Phase composition of ore after reduction (Fig. 2).

This emission reduction potential optimization model puts forward the best pollutant emission reduction plan to satisfy the business enterprise decision making and guide the effective implementation of the refining chemical industry pollutant emission reduction task.
All kinds of input data, for the calculation of oil refining chemical industry pollutant emissions reduction potential model, have been shown in Table 1 and Table 2.
Table 1 Pollution control equipment parameters for refining and chemical industrial Pollutants Pollution Control Measures Removal Rate(%) Unit Processing Costs (104 t/104 yuan) Buiding Area (m³) SO2 Limestone Gypsum Wet Flue Gas Desulfurization (LGWFGD) 95 1000 500 Mobil Wet Flue Gas Cleaning System (MB-WFGCS) 90 1050 500 Belco Edv Wet Flue Gas Desulfurization (BEDV) 95 950 500 Wet Flue Gas Sulfuric Acid Process (WFGSAP) 97 850 400 THIOPAQ Biological Process (THIOPAQ-B) 97 1000 600 Ammonia Washing Method (AWM) 95 1000 500 Recycling Magnesium Oxide Method (RMOM) 95 900 500 NOx Selective Catalytic Reduction Method (SCR) 85 3336 500 Non Selective Catalytic Reduction(NSCR) 50 840 500 Table 2 Data for pollution reduction potential model of refining and chemical enterprises Pollutants Pollutant Source Industrial Emissions Standards (mg/m3) Wastegas Quantity (m3/h) Pollutant Concentration (mg/m3) SO2 Heating Furnace 850 335 1690 Industrial Boiler — 0.16 0 Catalytic Cracking
According to the above data, combined with the established optimization models and linear programming method, the maximum SO2 and NOx emission reductions of oil refining chemical enterprise were 4810.69 and 1573.04 tons, obtained from the computer.
(2) For Pollutant NOx, the reductions of SO2 is 1573.04 tons by optimization model calculation, the optimal emission reduction scheme is installing Selective Catalytic Reduction Method (SCR) on the Heating Furnace, which is the highest than related industrial emissions standards.

Studying the Possibility of Obtaining Titanium Powder of Various Sizes by Alumino-Thermic Reduction L.I.
In the reduction process granules of titanium powder and corundum were obtained.
The temperature was register using the NI USB-TC01 Thermocouple Measurement Device from National Instruments and firmware Temperature Logger, all data from the device was output to a computer.
In the Table 1 shows data on the change in powder weight after alkaline treatment.
The best aluminothermic reduction results were obtained during the reduction of sandy and floury rutile with aluminum shavings, i.e. samples №1 and №3 of the charge combination.

The data collection rate was automatically set by the controlling program supplied by SETARAM to store the maximum number of data points.
Successive reduction followed by carburization.
Reduction.
This would correspond to the complete reduction of WO3 to WO2 (f = 8.35), indicating that at relatively low temperatures reduction of WO2 to W start before WO3 is reduced before the reduction of WO2 to W takes place.
According to thermodynamic data [32, 33], decomposition of methane into carbon and hydrogen is possible above 823 K.

The paper presents the problem of vibration reduction in designed discrete mechanical systems.
The passive vibration reduction based on the synthesis method by using the Synteza application.
Entering the dynamical properties of the system searched By confirming the assumed data, the values of inertial and elastic parameters of the fixed branched system, presented in the figure, are obtained (fig.4).
The result of passive vibration reduction performed Conclusion The paper presents a passive vibration reduction based on the synthesis method by using the Synteza application.
Dzitkowski, Reduction vibration of mechanical systems, Applied Mechanics and Materials. 307 (2013) 257-260

With the anti-shear parameters reduction, the nonlinear strength reduction FEM model of slope turns to unstable status and the numerical non-convergence occurs simultaneously.
Efficient and accurate, the strength reduction FEM is feasible to examine slope stability and analyze slope movement patterns.
This can be determined either by statistical method, which analyses the correlation between the observed loads and deformation data, or deterministic method, which utilizes information on the loads, properties of the material, and physical laws governing the stress-strain relationship.
At that point, the limit reduction factor obtained based on c-φ reduction algorithm can be regarded as equal to stability factor obtained using limit equilibrium method[8], the method can be expressed as Eq. 2, in which the F is the reduction factor, also is equivalent to the safety factor.
[5] Szostak-Chrzanowski, A., Massiéara, M., Chrzanowski, A., Whitaker, C and Duffy, M., in: Verification of design parameters of large dams using deformation monitoring data-potentials and limitations[J].

Data collection The secondary data including their energy use, energy generated and implemented energy efficiency improvement measures were collected from power plants case study.
Emission reductions due to the reduction in no-load losses only are claimed.
The calculation results for each measure are presented in terms of the GHG reduction as shown in Eq. 2.
Intensity of energy saving and emission reduction The results of ESI and ERI displayed the most effectiveness in the same measure of TF01.
To quantify the potential of energy saving and emission reduction, the secondary data of power plants case study were collected.

The incubation time becomes shorter with the higher cold rolling reduction.
The calculated apparent activation energy for recrystallization decreases with the increasing cold rolling reduction, indicating that the recrystallization occurred much easier in AA5754 sheet with higher cold rolling reduction.
When the cold rolling reduction increases to 67%, the recrystallization becomes much faster.
The values of k and n were determined by fitting the experimental data (Fig. 7).
In contrast, the curves fitted according to the recrystallization time demonstrate a better agreement with experimental data.

Outdoor SVG “overheat capacity reduction” control strategy Overheat capacity reduction control strategy means to reduce output capacity, limit input current of power unit, thus reducing the overall heat radiated in order to keep the equipment functioning stably when the internal temperature exceeds the safety limit.
The key of the control strategy is to get humidity and temperature data timely and correctly, thus ensuring that the SVG control system can make correct judgment, preventing falling into “overheat capacity reduction” mode by mistake, and enabling initiation of “overheat capacity reduction” mode before overheat failure.
The entire unit consists of the embedded micro-computer, the bluetooth transceiver and the LCD, with input data and operating command keyboard, as well as USB interface and R-485 interface for data transmission.
Temperature and humidity wireless monitor collects temperature and humidity data of different points in real time.
At the end, SVG control system determines whether to enter “overheat capacity reduction” mode and sends alarm signal to the system at the upper level.