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For the independent variable, according to the study of W.P.S.Dias et al.[2], the optimum models can be given by the raw data, and the non-dimensional ratios does not result in good models.
The discovery of a certain property allows us to describe the information of the universe, or to predict the unseen data in the future.
Alternatively, a property can be understood as a previously unknown pattern to be discovered by a data analysis task, for example, an association of attributes, a cluster of objects, a set of classification rules, a preference ordering of objects, or the similarities or differences among objects.
The theory of rough sets has been applied to data analysis, data mining and knowledge discovery.
Slowinski: Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory (Kluwer Academic Publishers. 1992) [5] Z.Pawlak: Rough Sets-Theoretical Aspects of Reasoning about Data (Kluwer Academic Publishers, Dordrecht. 1991)

This paper analyzes the status quo of study of rubber asphalt overlay noise reduction and mechanism.
Cao Weidong and Ge Jianmin equal to study the skeleton dense noise reduction road in 2006.
Field testing of road noise In this noise test, we selected freeway A and highway B and secondary roads C that before and after asphalt overlay as a total of four a field data.
Chart 3 Cement road noise to detect normal chart of secondary road C From Chart 2, we can conclude that on the secondary roads cement concrete pavement, noise data collected basically meet the normal distribution.
Chart 4 Rubber asphalt road noise detection normal chart of secondary road C Noise data was detected from the Cement Concrete Pavement thin layer of rubber asphalt pavement after paving 5cm.

But the reaction requires 6-10 equivalents of NaBH4 for the reduction.
Results of the reduction of methyl benzoate in different solvents.a Entry NaBH4 (equiv.)
Possible mechanism and tentative intermediates in the reduction of the esters.
Products were all known compounds and were identified by comparing of their physical and spectra data with those reported in the literature.
General experimental procedure for the reduction of esters.

Reduction Design for Corrugated box——Local Composite Strengthening Technology XU Jianhua1，2，XIAO Zhijian1 ，Zhuang Adan1 1.
The study will provide some guidance to the reduction design of the corrugated box.
Among numerous reduction design proposals of corrugated boxes, the local composite and fiber strengthening technology of corrugated boards is a typical process of reduction design of corrugated boxes.
Here, matching design is temporarily conducted by consulting data in standards of GB 13023-91 and GB/T3024-2003.
XIAO Zhi-jian.Current Status of Design and Manufacting of Corrugated Fiberboard (Box) for Reduction[J].

Finally, a reduction factor formula of the ultimate bearing capacity of the tube before and after deformation is gotten; it directly reflected the reduction level of the ultimate bearing capacity of the deformed steel tube.
In this paper, the ultimate bearing capacity reduction level that is caused by the deformation is researched.
Ultimate bearing capacity reduction factor 1) Theory reduction factor The ultimate bearing capacity reduction factor is gotten by (9) and (10) the ratio: （11） 2) Reduction factor of the finite element model From formula (6) and (7), we can obtain the Ultimate bearing capacity reduction factor: (12) From equations (11) and (12), we can see the results are consistent by comparing theoretical calculations with the finite element model calculation data.
The formula (11) above derivation of reduction factor can be used to approximately calculated reduction factor of the type of the deformed steel tube.
Both model data comparison shows that the degree of the ultimate bearing capacity reduction is similar.

Currently accepted definition of data mining is that: knowledge acquisition is the non-trivial process of identifying valid, novel potentially useful and ultimately understandable patterns in data [9].
It can be used as the data source for configuration rules.
(7) Reduction of the rules, then add the rules into fuzzy rules library.
(2) The characteristics of simulation data are discussed, so that we could deal with the simulation data with the algorithm of fuzzy rough set
Kamath, in: An Introduction to Scientific Data Mining, edtied by Institute for Pure&Appl.

Abstract Experimental tasks formulation, an input reductions and experiment realizations contain scientific methods of physical effects and the relation of physical quantities followed by an objective evaluation of experimental data and results generalization using the theory of similarity.
Aerodynamic experimental data evaluation. 6.
Experimental aerodynamic data evaluation The experimental data evaluation aim is the maximum compression of the information gathered by the experiment realization in following the evaluation objectivity. 6.
The model task solution and the data transfer from teh model to work.
There are other criteria that can be used to select data points, e. g. estimates intependence.

The rapid growth within the field of digital communication during the recent years expanded the need for high-speed data transmission to support a wide range of services such as: video, data and voice in wireless communication systems, etc.
One data symbol is modulated into a group of adjacent sub carriers with a group of weighting coefficients.
In a basic communication system, the data are modulated onto a single carrier frequency.
If the data symbol “a” is modulated into the 1st sub-carrier, then “-a” is modulated into the 2nd sub-carrier.
Then the resultant data sequence is used for making symbol decision.

The paper analyzes the fuel-switching project for district heating and main pollutant reductions, emission reductions of atmospheric particulate matter are calculated by materials accounting method.
The economic, environmental and social benefits are also calculated according to pollutant reductions.
In this paper, reductions of the pollutant emissions have been calculated and the co-benefits have been analyzed.
Reference to the literature [4,5] get the data of the residential layer burning wet de-dusting boilers as Table2 : Table 2 Data of the layer burning boiler Combustion mode The dust of the coal The bottom ash in the total ash Proportion of particulate matter in the flue gas Removal efficiency Layer burning boiler 0.084 0.85 0.80 0.13 0.07 0.99 0.90 0.50 This project only consider the residential heating boilers, so A is the coal consumption, is 44.72t.
Suppose this project only use one control technology, so , and , from calculations, all the particulate matter emissions can be obtained from Table 3: Table 3 Result of three kinds of particulate matter emissions Particulate Matter 0.0126 [t/t] 1.008 1.638 4.41 [t] 450.78 732.51 1972.15 The emission reductions of particulate matter: Natural gas as clean energy, regarded as no particulate emissions after burning, so the emission reductions of TSP is 3155.44t, the emission reductions of PM10 is 2704.66t, and the emission reductions of PM2.5 is 1972.15t.

However, a primary problem of these systems is that each data stream for one special user will encounter interference from the other data streams.
Thus, we introduce an adaptive data streams reduction method to joint design with the greedy ordering algorithm called ADSR-GUO to satisfy different QoS requirements.
After performing the proposed greedy ordering to, we use the data streams reduction method to reduce the number of the last some encoding users’ data streams to achieve better BER performance.
Meanwhile, the sum-rate for the whole system decreases with the increase of owing to the reduction of the number of data streams to be transmitted.
Besides, assisted with the adaptive data steam reduction method, greedy user ordering BD-GMD-THP can achieve lower BER with small loss on the sum-rate.