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Raw data of samples On the case of historic data in one hospital, part samples are extracted from lack data and normal data changed into the original data sheet involving 20 samples (as Table2).
In view that rough set supports merely discrete data, those data in Table need to be discretized.
Picking up original data According to minimum reduction {b,e,f,h} in Table 4, original data in sample is taken out and listed as table5.
Original data after attributes reduction 3.2.
Because SVM has higher ability of accurate forecasting based on normalized data, so data in Table4-5 will be normalized in advance.

The MOSA provided a good method to optimize the operating of OSA process, and gain a more sludge reduction.
Because of the better effect of sludge reduction, the less excess sludge is produced while the OSA system is used [5, 6].
The observed yield was determined over a given range of operation as the MLSS increased/COD used, using all the data over the range of operation for which the yield was calculated.
The fundamental purpose of MOSA is achieving sludge reduction while it removes pollutants efficiently.
If this modified OSA process could be applied to engineering practice to play such a significant reduction effect, it would have important environmental and economic benefits

Partially missing or blurring attribute values make data become incomplete during collecting data.
First algorithm divided the data set into a complete data set and non complete data set, and then the complete data set was clustered using the affinity propagation clustering algorithm, incomplete data according to the design method of the similarity metric is divided into the corresponding cluster.
Introduction Clustering analysis is an important method in data mining field, when clustering incomplete data, due to the presence of missing data, the clustering result is obviously reduced.
The intuition of these strategies is discarding missing data, only clustering the complete data.
Zhang, "Novel algorithm for filling incomplete data of internet of things based on attribute reduction,” Computer Engineering and Design, vol. 34, no. 2, pp. 418-422, 2013

Date accepted: 06 July 2013] Keywords: Fe2O3 reduction; Metallurgical coke; End-of-life tyres; Extent of reduction; Carburisation.
An IR gas analyser (Advance Optima model ABB^® AO2020) attached to this system was used to monitor CO and CO2 gases produced by the reactions and the results were recorded in a data-logging computer.
Figure 11 Change in extent of reduction with time at 1500 °C From Figure 11, RT and the blends are able to reduce the iron oxide rapidly, attaining at least 80% reduction in less than 600 seconds; within this time the reduction by coke is about 67%.
In particular, H2 apart from being a faster reducing agent than both CO and solid carbon enhances the rate of reduction of iron oxides by CO [8,9] when it is added to a reduction system containing the latter.
Rajakumar, Gaseous reduction of wustite with H2, CO and H2-CO mixtures, Trans.

With regard to this the integration of adequate energy data into factory planning and design requires efficient data acquisition strategies depending on the prevailing purpose.
Therefore the general impact of energy data on factory planning is shown.
They usually refer to insecurities in metered data, the corresponding and required accuracy of measuring and the data transmission [7].
The use of measured data, on the other hand, scales with the required level of detail, i.e. the data requirements depend on the granularity of the curves to be used in the prognosis.
Means of energy data acquisition.

The reburning was demonstrated as an NOx reduction method which could achieve more than 50% reduction of NO.
All experimental data were collected after the thermal condition inside furnace reached its steady state.
When the frequency is 4Hz, the NOx reduction rate becomes maximized.
It shows 41% NOx reduction while the NOx reduction rate of fuel lean reburing(FLR) method is 34%.
The NOx reduction rate is about 38% when the duty ratio was 0.5 or 0.33, and promoted 4% of NOx reduction efficiency.

We should treat and reconstruction the data by such process as data smoothing, data reduction, segmentation processing, splicing and supplementary, then get a complete set of 3D point cloud data.
Measured data processing[4] Import the spliced and repaired full point cloud data into CATIA software, and transform the coordinate system to obtain the characteristics section data.
Figure 2a contains 126437 data points of the aircraft model point cloud.
Conclusion Based on the reverse design technology, 3D measurements for current product model are established by using three-dimensional laser instrument, after the treatment and reconstruction by such process as data smoothing, data reduction, segmentation processing, splicing and supplementary, 3D point cloud data with 126437 data points are get.
Curve fitting based on digitized section data in reverse engineering [J].

ZrB2 crystals are obtained completely by the carbothermal reduction process with the release of carbon dioxide at 1500°C.
All the FTIR data were consistent with the standard spectrum of methylamine.
In addition, MS was used to investigate the pyrolysis process of ZrB2 precursor and the MS data were shown as follows: m/z=30 and 31(methylamine), m/z = 16 (methane).
According to the FTIR and MS data as shown in Fig. 2 and Fig. 3, the maximum value of weight loss at 110°C was mainly caused by the release of a large amount of methylamine and some methane.
FTIR and MS data were shown as follows: 670 cm-1, 912 cm-1 (C-H); 1650 cm-1 (C=C); 1710 cm-1 (-C(O)-); 1373 cm-1 (-CH3); 930 cm-1, 964cm-1 (characteristic absorption peak of methylamine); 803 cm-1, 1620 cm-1(NH2); 3014(characteristic absorption peak of methane).; m/z=16(methane), m/z=30 and 31(methylamine), m/z=39, 41 and 42 (propene); m/z=43(acetone).

Given n-dimensional data set containing N data objects {xi, i =1,...., N}.
Input a parameter 0<ε≤0.5 and the n-dimensional target data set containing N data objects, {xi, i =1,...., N}
Record the maximums and minimums of the target data in each dimension, and then normalize the target data
To a data set containing n objects, we scan every data only one time to divide the target space, and the time complexity is O(n).
The algorithm simplifies the training data set by dividing the target data set space with STING technology.

The mechanical properties measured include residual compressive strength, weight reduction ratio, outward appearance property, and failure mode.
Accordingly, this study, on the basis of the preceding research results [4], conducted an experiment with the aim of providing the basic data for commercialization and behavior under a fire of HPC by manufacturing HPC which produces crack control, strength enhancement, and ductile effect in a mixture of GA, Nylon, Polypropylene, and Steel Fiber.
The GA-Ny-01 and GA-SF-03 specimens showed the same level of weight reduction ratio up to 150oC, but from above 150oC, they showed a rapid reduction ratio as heating time got longer.
GA-Ny-01 showed 8.3% reduction ratio at 500oC, and then inflection-type Fig. 4 Experimental curves of weight reduction Fig. 5 Residual compressive strength versus ratio versus heating temperature heating temperature Table 4 Outward appearance property Specimens 100oC 150oC 250oC 400oC 500oC 600oC 800oC GA-Ny-01 GA-PP-02 GA-SF-03 reduction ratio with declining weight reduction ratio.
In addition, GA-PP-02 showed 0.9% weight reduction ratio at 250oC which is not a big change in comparison with other specimens; in addition, it showed a sharp reduction ratio after showing 3.5% reduction ration at 250oC.