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In this paper the process of direct reduction of vanadium slag was adopted.
The test results showed that the regression equation curve fitting of the experiment data was very significant, the main factors affecting the vanadium slag reduction (according to the primary and secondary order) was the content of anhydrous sodium carbonate, roasting temperature, roasting time and reduction of carbon content.
The reduction process of iron oxides is a crystallization of chemical reaction.
In the table the baking reduction temperature was 1150℃, baking reduction time was 4h, the mass percentage of anhydrous sodium carbonate and slag was 5.56%.
Therefore the reduction temperature under the optimum condition was 1100℃.

From the reduction results, it could be observed that with increasing reduction temperature reduction rate has increased.
From the results it can be observed that reduction temperature is the major factor on degree of reduction.
The kinetic models were examined by using experimental data.
It was found that the experimental data would fit perfectly with the Mckewan interface chemical reaction (1−(1 −R)1/3 = kt).
Low temperature reduction of magnetite, Thermochim.

Tectonic data marts.
Data preprocessing.
Set of attributes is called after the simple attribute reduction set reduction set is usually not only find an information table reduction set, even seeking the smallest reduction set (the reduction set) with the least number of attributes is a fairly difficult NP-hard problem.
After data preprocessing, the data obtained are shown in Table 2.
We are most concerned about the properties in the sea-battlefield situation submarine threat assessment by the sea-battlefield situation data attribute reduction.

Although the sample of multivariate can provide a lot of information for the scientific research, to some extent, the workload of data collection will increase.
Factor analysis is a method to use the less independent factor variables instead of the original data.
In order to compare the effect of energy-saving and emission reduction, the basic data of power plant 3, 4, 5 should be calculated.
Tab.2 Calculation data of power plants Plant Coal consumption t/h Flue gas/(m3/h) SO2 kg/h NOx kg/h Water consumption t/h Order Power plant 3 186 1116000 68 245.5 300 2 Power plant 4 192 1152000 57.6 138.2 80 1 Power plant 5 181.8 1090800 81.8 272.7 350 3 As is shown in table 2, although the coal consumption of power plant 5 is low, compared to power plant 4, the SO2 and NOx emission per hour is higher.
According to the comparison of the computational data, the proposed evaluation method of this paper can fully reflect the situation of energy-saving and emission reduction.

Next, based on the method of knowledge reduction using rough set, the redundant properties and samples of data in one month were removed.
Due to the advantage of the rough set in dealing with redundant data, large amount of data and uncertain data, more and more scholars pay more attention to the combination of rough set and the neural network [5-6].
Data is shown in Table 1.
In these data, the temperature unit is Celsius ().
The rough Reduction of Data An information system can be expressed as S=(U,A).

According to the distribution of SMEs in Ningbo, Our group hands out 1200 questionnaires in total and collected back 1035, 957 of which are valid except the questionnaires whose data are clearly abnormal.
By means of analyzing and comparing information and data which has been collected, our group find out the current SMEs’ actual needs and the problems existed in implementation of relevant policy during the process of energy conservation and emission reduction.
The Main Features of Energy Conservation and Emission Reduction of SMEs in Ningbo 3.1 Basic Situation of SMEs Surveyed Table 1 Industry Distribution of SMEs Surveyed Industry Distributed (A) Machinery &Industrial Products (B ) Clothing & Textile (C) Hardware & Tools (D) House- hold appliances (E) Auto Parts & Accessories (F) Building Materials (G) Office Equipment & Supplies (H) Service (I) Others 13.99% 20.99% 12.39% 7.45% 6.65% 11.01% 7.11% 8.03% 11.93% From: Data of Survey 3.2 Situation of Energy Conservation and Emission Reduction of SMEs Surveyed 3.2.1 High cost and low utilization rate of the SMEs’ energy utilization Table 2 Energy Cost of SMEs Surveyed Energy cost /Total cost of production More than 50% 30-50% 15-30% Less than 15% 5.83% 26.66% 48.33% 19.16% From: Data of Survey As is shown from the above table, the energy cost of the SMEs is high and utilization rate of the energy is low.
Compared with the number of SMEs and their employees, valid sample size of the survey 957 is not enough, as well as the objectivity of some responses to the questionnaire. 3.Limited statistical analysis of the survey data.
Due to the limitations of our relevant professional skills, our group failed to dig out the deeper problems hidden behind the data.

The data match perfectly well with each other.
Comparison of the data obtained by Single Pellet (TG) and Multiple Pellet (Muffle Furnace) experiments for CR/89/10C/1 at 1500oC (f-t Plot) Fig 3.
The data and figures of the powder carried out at 1350oC and 1400oC are shown in table and as f – t plots.
From these data extent of O2 removal was calculated and FR ‘f’ was obtained.
Both these data can be utilized for kinetics studies. 2.

It gave us several advantages by allowing us flexible data reduction depending on users’ purposes, especially for time resolved experiments.
A data acquisition (DAQ) system and a data reduction software are also important for in situ measurements because they heavily affect experiment method and quality of data.
This paper demonstrates in situ neutron diffraction experiments during tensile load using these advanced DAQ system and data reduction software to utilize sets of event data including experimental conditions.
Data Reduction Software Raw event data measured by most of neutron scattering instruments at MLF are reduced to histogram data using software programs based on a Manyo-lib which is a data analysis library for neutron scattering experiments [7, 8, 9].
Major upgrade of the library was developed and data reduction software programs for TAKUMI were modified in order to enable data reduction using not only neutron and time information but also information of experimental conditions recorded by the TrigNET module.

XML data is used to describe the irregular data.
This method of data integration provides a unified data source and integrated data model for data access of the client.
Fig. 2 Part of the reduction gear's XML representation Fig. 3 View of reduction gear's structure in Teamcenter Case Study Take the product life-cycle software Teamcenter as the data integration platform, a data integration management platform which is based on PLM XML is constructed.
Take the structure data of reduction gear as the experimental data.
With the mature PLM XML Schema provided by Teamcenter, the integration of reduction gear's structure data has been verified, the integrated management operations of heterogeneous data's transfer and conversion has been realized.

The data of water also shown in this figure.
The data show that coefficient of friction fibers at Re > 25.000 is lower that water data and Blasius equation.
Drag reduction occured if the data is higher than curve A.
The data is greater that curve A.
After Reynolds number about 35.000, the data shows constant.