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GHG reduction of Landfill E.
/MW·h, based on the data of power grid in North China.
Referring to the statistical data of a MSW incineration power plant in Shanghai[5], power generation of per ton MSW incineration is 205 kW·h.
Based on the data of Shuangkou MSW landfill in Tianjin [6], the collection rate of landfill gas generated by MSW landfill is 45-60% and the average rate is 55.5% during 2008-2014.
/tMSW] Total GHG reduction [MT] GHG reduction cost [CNY/ tCO2eq.]

Therefore, the data on the transverse rolling is rare too.
For The textured samples, the {110}, {200}, {211} of pole figure data are measured by the X- ray diffraction of Dmax-IIIA, the sectional view of Φ = 45º could be ploted by the Series expansion method of ODF; For the metallographic sample, the Optical microscope of OLYMPUS-PMG3 is used to watch the recrystallized structure. 3.
Fig .4 is constant Φ (45°) ODF sections showing Ti+P-IF steel in cross cold rolled reductions.
Fig .4 Constant Φ (45°) ODF sections showing Ti+P-IF steel in cross cold rolled reductions Fig.5 Constant Φ(45°)ODF sections showing annealed samples of Ti+P-IF steel in cross cold rolled reductions Constant Φ(45°)ODF sections showing annealed samples of Ti+P-IF steel in cross cold rolled reductions is shown in Fig .5, it can be seen from the figure, when the reduction rate is 30%, the peak is formed in texture of {112} < 110 >, and there is a weak gauss texture.
The intensity of {223} < 110 > texture comes down when the reduction rate is 70%.

According to the survey's raw data, this paper not only calculates the energy levels of conventional coal-fired power plant in North China and an integrated gasification gas-steam combined cycle (IGCC) power plant, but also computes their carbon dioxide emissions.
According to these two plants produce energy consumption data, using the above method for calculating the integrated energy, greenhouse gas emissions, carbon intensity and carbon productivity.
Calculations and comparisons of these two sets of data in accordance with the same capacity and the same tariff case have been done.
The data of each index show in Table3.
Parameters of the decision method are determined by the calculation method of energy saving, greenhouse gases emissions, carbon productivity, the carbon intensity and the weight of each index bases on quantitative data.

In order to test the effect of fast algorithm, the paper used several groups of data sets for comparison experiment.
The data sets used as shown in Table 1.
Fast Reduction Results.
The data in the decision table after making attribute reduction is used as three layer BP network training samples to train.
In Chinese [13] Jensen R,Shen Q.Semantics-preserving dimensionality reduction:rough and fuzzy- rough-based approaches.IEEE Transaction on Konowledge and Data Engineering,2004,16-(12):1457-1471

OFDM can provide large data rates with sufficient robustness to radio channel impairments.
The interleaver rearranges input data such that consecutive data are spaced apart.
This interleaver produces K permuted frames of the input data sequence.
Data will be interleaving and then measure the PAPR and if it is large than the PAPRo (threshold value) the data will bass throw multi type of interleaving and select the interleaving block which gave minimum PAPR [7].
We used image signal as data source, proposed technique for PAPR reduction improvement the PSNR for the received image by 4.86 dB.

Business data External data Business data ETL database ETL data Data warehouse Multi-dimensional data sets online analysis(OLAP) Data mining Front-end tool Query tool Reporting tools Analysis tools Figures 1.
Data dimension Data keyword(PK) Data property ...
Raw data Data mart Data warehouse Data mining training library Clean-up phase Process of building a data earehouse Integration stage Data pre-processing process Reduction phase Figures 3 Data pre-processing process model When the traditional data warehouse architecture building data warehouse, external data sources will be directly loaded into the data warehouse trough ETL tools, which has some deficiencies. 1) Since the complexity of the data pre-processing, direct integration will inevitably lead to that the process not only occupies a number of eternal operational database resources and time, but also affects the efficiency of data warehouse loading data. 2) After the source data extraction, cleaning and conversion, when transmitting to the data warehouse if there are system failures or network failures, the whole data pre-processing process will be only redone, which is a great waste of resources
Operational database Operational database Unstrauctured data Data extraction Data preparation area Data conversion Data load Data warehouse server OLAP analysis tools Data mining tools Figure 4.
The attribute X and Y has no relation ad they are independent. 6) Dimension reduction based on information gain.

The application layer processes the data effectively.
On-line monitoring data was provided to all the major programs which have been included in the annual emission reduction verification process.
These data can be used as proof to show that the operations of environmental protection devices are on track, and to verify the reduction amount.
At the same time, it can send the data obtained from the mobile terminal to the server and achieve the data exchange.
As the applications of data analysis, data mining and other cloud computing technologies growing deeper, the application of the environmental data is widened and deepened as well.

The comparisons to different thermal physical properties such as thermal resistance R0, thermal inertia index data D, reduction coefficient of thermal wave transferring V0 and thermal transferring delaying time ξ0 have been performed between Tuzhang dwelling and normal brick house.
The temperature data of Yuanjiang is shown in Fig.1.
Parameters used in present analysis include: values of thermal resistance R0, heat storing coefficient S, thermal inertia index data D, reduction coefficient of thermal wave transferring V0 and thermal transferring delaying time ξ0.
Comparison to brick wall, soil wall has larger thermal inertia index data D.
The comparisons to different thermal physical properties such as thermal resistance R0, thermal inertia index data D, reduction coefficient of thermal wave transferring V0 and thermal transferring delaying time ξ0 have been performed between Tuzhang dwelling and normal brick house.

Remove the noise source data set and independent data, processing the missing data and clean dirty data, considering the time sequence and data changes.
In this paper, data cleaning work including missing values, noise data and inconsistent data processing.
The paper use FAP (Fill in with Average Poll result) [2] attribute structure on employment information, so as to evaluate analysis. 5) Data reduction.
Data reduction techniques can be used to obtain a reduced representation of data sets, although it is much smaller, but still close to maintain the integrity of the source data.
Data reduction method is adopted in this paper is: the data cube aggregation and dimensionality reduction. 6) Boolean transformation.

Reduction condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
Reduction condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
The reduction temperature of silica-supported oxidic precursors for NiMoP formation was a range of 530-590 oC.
However, from our previous data the XRD peak corresponding to NiMoP was not detected.
The formation of NiMoP phase on silica is particularly promoted at a below 5 oC/min of reduction rate.