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Therefore, the system model reduction is critical.
So the balanced truncation model reduction method is more suitable for order reduction of the large scale systems.
Fitting results and test data are shown in Fig. 1.
As can be seen from Fig. 1, vector fitting results fit the test data in a very high degree. .
Figure 1.Vector fitting results compared with test data.

The index system reflects not only current situation, but also situation before and after this work. 1.2 To establish a evaluation index system According to principles, national planning goal for as well as research bibliography on energy conservation and emission reduction for reference, reality of Jiangsu about environment and limits of data, here we divide indicator system into layers-goal layer, rule layer and indices layer.
The original index data standardization, standard matrix Z； Step 2.
Following with the Jiangsu province thirteen city above eighteen indexes data in 2008, this paper adopts the method of principal component analysis empirical evaluation, This paper uses the data from the" Jiangsu Province in 2008Statistical Yearbook", each city2008statistical yearbook,2008 each city Environmental Status Bulletin 2.1 City industrial energy saving and emission reduction investment performance comprehensive evaluation By means of statistical analysis software Minitab15.0, on 18 indicators, do principal component analysis, Evaluation of the results in Table 2 are obtained.
Conclusion According to the data table 2-5, The following Conclusions is obtained ,respectively
[4] Data Information on http://www.jssb.gov.cn/

Especially, the energy consumption of the reduction furnace in the thermal reduction process is more than 70% of the total energy consumption.
The reduction jar is the core equipment of the reduction furnace, where the reduction reaction to produce Mg occurs at high temperature and under perfect vacuum.
The Mg-reduction jar is a consumable equipment rather than an energy-consuming one in the thermal reduction process of silicothermic method.
Cross Section Design of Reduction Jar The cross section of the traditional reduction jar is regular ring, as shown in Fig. 1(a).
Based on the data fitting of Table 1, the dependence of the elastic modulus E on the temperature T is E=-0.0843T+234

In the context of industrial noise reduction, data-driven models are able to analyze large amounts of data, which include gear modification parameters or even manufacturing parameters and their associated noise levels.
The first step in the workflow was to collect data.
The raw data set was divided into training and test sets.
Using synthetic data, the models predicted noise levels with similar accuracy as they did on real data. 4.
Future research directions: • More data: The accuracy could be further improved by incorporating larger data sets

Lastly, after reaction rate and time of reaction has been determined, the reduction process can be calculated based on following equation: Roρc=[1-(1-R')1/3]=Kt (15) Where R’ = fractional reaction (instantaneous weight of pellet/ initial weight of pellet)sphere Ro = initial radius of the reacting ρc = molar density t = time K = constant Mo = initial weight of pellet (Fe2O3) R’ = (Mo-Mt)/ (Mo-Mf) Mt = weight of pellet at time t (Fe2O3 + Fe) Mf = final weight of pellet (Fe) Results and Discussions Four sets of independent experimental data were generated with different experimental conditions which were employed for different furnace temperatures and porosity based on previous work of Tan, 2012[6].
The set of data combinations with temperature of 700°C and the porosity of 20%, temperature of 700°C and porosity of 40%, temperature of 800°C and porosity of 20%, and temperature of 800°C and porosity of 40% had been tested.
Reaction rate increases rapidly as reduction proceed.
However, the model used does not fit ideally with our experimental data.
Thus, it is obvious that non-isothermal is inclined better to experimental data compared to isothermal predicted transport limited reaction rate for hydrogen reduction of ferric oxide kinetic modeling and obeys the theoretical framework of ore reduction.

Calculations were done for the same data as calculations for the active system presented in the previous section.
The FPGA module enabled safe and quick implementation of the control algorithms, while the RT processor managed data exchange with external devices such as memory modules and the operator’s console.
Fig. 7 The electric part of the laboratory workstation The measurement system was adjusted to convert data, sample by sample, with the maximal sampling frequency allowed for the measurement card and transducer.
To avoid problems related to synchronization of measurement data and limitation of maximal sampling frequency, an additional measurement subsystem was implemented.
The applied solution enabled hardware synchronization of data recorded in packets.

In order to promote emissions reductions, carbon emissions reductions shall be discounted.
Selected a representative and large power plant as a case, all the latest data are from the enterprise’s official website.
The main data are shown in Table 1.
Table 1 Data Descriptions of Selected Power Plant Variables/Parameters Value Variables/Parameters Value Reduction period (year) 5 Project’s life cycle (year) 20 Predicted emissions in 5 years (104ton) 450.09 Reduction emissions discountrate (%) 8 Permits distribution in 5 years (104ton) 546.38 Annual return ratio on retudtion investment (ton CO2-e/Yuan) 0.0038 Permits price (RMB Yuan) 25.68 Limits of (104Yuan) 5067.89~ (1) Considered that China's economic and social development plan is usually adjusted for every five years, the reduction period is also assumed as 5 years.
According to the above decision model and related data, the optimal range of emission reduction investment is 5067.89 to (unit: 104Yuan, see Table 1).

It was found that higher content of additives gave larger thermal reduction and larger microsphere (RM1) gave a larger thermal reduction than that of the smaller ones (RM2).
Reading data were recorded every 10 seconds until the reading temperature going to constant.
After that the reading data were collected every 5 minutes for 1 hour and 40 minutes.
This is in accordance with the surface temperature data which indicating that 28 %wt or more of TiO2 can provide sufficient solar reflection and enhances thermal reduction.
It is also suggesting that the single reflectance data is not suitable to represent the thermal protection property of the roof paint.

Once data theft, it will bring immeasurable losses.
The chip achieves data transmission with standard physical interface and data transmission protocol.
In addition, the chip adopts 3DES method to encrypt data.
Research on computer network data security strategy [J].
Multisensor data fusion and its applications[M].

Based on the data stored in memory mode, this article proposes a new reduction algorithm.
First, the low-high column of data processing attributes: Because the data in memory stored in binary form, TableElement is short data type defined by the macro, which accounts for two-byte, 32-bit systems, a byte is 8, the low may represent 0-255.
Greater than 255 data, referred to as a high.
Step Four: Then, when all the data which is sequentially in the order of LSD (Least significant digital) of attribute reduction are thrown into the bucket, the initialized objIdx[] array is written the corresponding value, namely updated the data line number, it is sorted.
Subsequent authors will further develop applied research how to use the new algorithm for large data mining.