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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.

Evaluation of CO2 reduction CO2 reduction in the green building is the most important point in the minimization of overall energy use.
Recommendation of the construction process for green buildings Planning Planning is to establish the conceptual design strategy by setting the building’s target goal and collecting basic data.
Land analysis can be divided into humanity, society and nature status analysis and should be used as basic data to develop alternatives by evaluating the land’s potential.
After land analysis, basic data are collected for energy saving element technology and renewable energy technology.
Basic planning In this stage, micro-climate and the applicability and potential of element technology are analyzed, and relevant standards and data are studied.

“Advances in knowledge discovery and data mining”[M],AAAI/MIT press, 1996. pp. 83-115
“Data mining: An overview form database perspective[J], IEEE Trans.
Knowledge and Data Engineering,1996,8, pp. 833-866
Data-drive discovery of quantitative rules in relational databases[J] IEEE Trans.
Knowledge and Data Engineering,1993,5, pp. 29-40 [8] R.GOLAN.

A broad investigation, data analysis and comparative analysis are conducted in this paper to get insightful conclusions regarding to the feasibility of technology, the effect of emission reduction, the economic feasibility and bunkering pathway.
Quantitative analysis Research methods Research study Data analysis Experiment Qualitative analysis Field survey Summarize opinion Data analysis Literature analysis Exploratory research Case comparison Summarize experience Chart analysis Research cooperation Fig. 6 Research methodological frame Feasibility Study Technical Feasibility and Safety.
Reduction Feasibility.
Ø NOX emission reduction.
Ø SOX emission reduction.

The inventory data of Chinese cement production were selected without denitration technology applications at that time.
They argued that the CO2 was a hotspot of environmental impact in cement manufacturing due to the global warming problem did not analyze the significance of NOx emissions reduction technology in China where the implementation of advanced technology such as selective non-catalytic reduction (SNCR) and selective catalytic reduction (SCR), which have not gained its popularity yet.
The denitration technology, i.e. selective non-catalytic reduction (SNCR) and selective catalytic reduction (SCR) are analyzed.
Data collection and source.
For selective catalytic reduction (SCR), the NOx reduction reaction takes place as the gases pass through the catalyst chamber.

Therefore, it preserves the variation of data and characterizes the global Euclidean geometric structure of data, which is suitable for linearly separable data analysis [2-4].
Fig. 1 Distribution of nonlinear data points Motivated by manifold learning approaches, a novel method, called local variation projection (LVP), is proposed for dimensionality reduction.
LVP Learning the variation Given training data matrix , denotes the th data; the number of training data.
Feature Extraction Criterion Our aim is to seek the projection which makes the projected data preserve the variation among nearby data.
Although these manifold learning approaches preserves the local geometric structure of data and have been shown to be useful for dimensionality reduction of image, they ignore the variation of data, which is important to avoid the over-fitting in LPP and NPE.

The best sagging resistance is available when the percentage reduction of final pass is 25%~35%.
Cold-rolled composite, the first pass reduction rate control in 20% to 60% after the single pass reduction rate was controlled at 20% to 30%.
Final finish rolling reduction rate was controlled at 15% ~ 60%.
Graph data show that the annealing temperature below 400 ℃, the sagging value of the composite foil can be maintained under the 8mm product standards, and only above 320 ℃ annealing composite foil to be able to fully soften.
Liu K.H, The Classification of Microarray Data Using Evolutionary Classifier Ensemble System, IEIT Journal of Adaptive & Dynamic Computing, 2011(4), Oct 2011, pp:34-39.

Data source The main data for years 2001-2008 was obtained from the Annual TPC Operation Statistics [10].
The data used in the DEA estimation comprised information for 7 DMUs during 8 years for a total of 56 observations.
[5] Dyckhoff, H. and Allen, K., Measuring ecological efficiency with data envelopment analysis (DEA).
[6] Korhonen, P., L CO2uptacik, M., Eco-efficiency analysis of power plants: An extension of data envelopment analysis.
[8] Liu, C.H., Sue J., Lewis, C., Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis.

Big data-driven hybrid model for operation optimization of thermal power units 3.1.
How to analyze these data effectively is clearly of importance.
With the exergy analysis in Section 2, big data analytics emphasis the huge volume of data and imply that the collected data set covers almost the whole population as well.
In this paper fuzzy rough set (FRS) is selected to perform big data analytics.
Table 1 Data sets description Data set Load range （MW） Ambient temp. （℃） Coal quality* （MJ/kg） Samples Original attributes Num.

Yeager et al. [1]-[4] studied the reaction kinetics in the oxygen reduction reaction to found that the two-electron reduction and the four-electron reduction goes simultaneously.
And the set values of the parameters are reasonable, for the data from the calculation are within the effective range.
The simulation data shows that the bond between O1 and Pt breaks when the H3 is close to O1.
Electrocatalysts for O2 reduction, Electrochim Acta. 29 (1984) 1527-1537 [2] Miah R, Ohsaka T.
Recent advances in the kinetics of oxygen reduction.