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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.

The structural effect value were 0.99% and -1.91% respectively, namely the breeding structure does not promote the COD discharge reduction but benefits NH4-N discharge reduction.
According to dynamically updated data from national census of pollution sources, the discharge of Chemical Oxygen Demand (COD) and ammonia nitrogen (NH4-N) of China’s livestock and poultry industry in 2010 were 11.48 million tons and 0.65 million tons respectively, which account for 45% and 25% of the total discharge of the country, and 95% and 79% of the total discharge of agricultural source.
Method and Data The pollutants discharge of large-scale livestock and poultry farms has been analyzed based on the hierarchical decomposition methods.
(8) (9) 1.2 Data source illustration and data processing The data used in the model for calculating breeding quantity and pollutant discharge is derived from 2010-2013 environmental statistics.
Structure effect presents an obvious affection on NH4-N discharge reduction of livestock and poultry breeding industry, but fails in COD reduction.

Introduction The theory of rough sets [1], proposed by Poland mathematician Pawlak in 1982, is a mathematical method to deal with insufficient and incomplete data.
So it is a set-theory-based technique to handle data, that is, through the known information to approximately describe the uncertainty concept [2, 3].
Reduction of a -consistent covering decision system.
Reduction of an inconsistent covering decision system.
Pawlak, Rough sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, boston,1991

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.

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).

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.

These problems are caused by large-scale training sample set and outlier data immixed in the other class.
Moreover, for training the sample data mingled with outlier data in the relatively class of sample, it often can not improve the classification capability.
The ideal of SVM is to search for an optimal hyperplane to separate the data with maximal margin.
Of the 8st ACM SIGKDD international conference of knowledge discovery and data mining, Edmonton, Canada, 2002
Of SIAM International Conference on Data Mining，Lake Buena Vista, FL, USA,2004

These systems inherit data filtering network (DFN), automatic data interpretation, advanced CCTV camera, intelligent early warning system.
All data confirmed in the local DCEIMS will be provide to victims’ families and the media.
Backup system is used to store data.
Data from various data sources filtered through filter network share to all DCEIMS systems, education institutions and research centers through internet.
Research on sharing of international disaster data and information, Disaster, vol.3, pp.109-113, 2008

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.

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.