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In sum, the power consumption of electric buses and sedans are 126 kWh and 17 kWh per 100km, which are close to the news report and data statistics in China right now [12, 13].
The data of fossil energy consumption and CO2 emission are shown in Table 1.
According to data from China Statistical Yearbook 2011 and China Energy Statistical Yearbook 2011, 800 million toe of coal are consumed in power generation and heating in 2010, correspondingly 8.998 million tons of SO2 and 1.99 million tons of soot are emitted in electricity generation industry.
The data of pollutant emissions for PVBs are unavailable since the National Bureau of Statistics China did not release any vehicle emission data.
The emission data of PVBs can be obtained through National Standards from Standardization Administration of China in this paper.

SOx Reduction by Feedwater in an Industrial Boiler Chun-Lang Yeh Department of Aeronautical Engineering, National Formosa University, Huwei, Yunlin 632, Taiwan clyeh@nfu.edu.tw Keywords: Pollution; SOx Reduction; CO Boiler; Feedwater.
This paper discusses the SOx reduction by feedwater in an industrial boiler.
The influence of feedwater flow rate on SOx reduction is inspected.
Conclusion In this study, SOx reduction by feedwater in a CO boiler is investigated numerically.
The author would also like to express appreciation for the valuable data and constructive suggestions from Formosa Petrochemical Corporation in Taiwan.

The reduction process has been reported in our previous works [8,9].
To maintain higher reduction rate, the reduction temperature was controlled under higher temperature.
As mentioned preciously, the carbon monoxide possesses lower reduction rate compared with hydrogen, the reduction temperature of SSI reduced by charcoal was much higher.
According to the kinetic experiment datum shown in Fig. 1 and Fig. 2, reaction rate equations of cadmium removal by SSI reduced by charcoal and hydrogen under T1 and T2 temperature could be calculated and illustrated in Table 1.
Chemical reduction of nitrate by nanosized iron: kinetics and pathways.

Induction In order to meet our needs of dealing with a great deal of incremental data, the generation and effectively use of the data mining technology seem so important.
CA algorithm Dimension Reduction.
First International Workshop on Knowledge Discovery and Data Mining, 2008.
A Fuzzy Decision Tree Based Approach to Characterize Medical Data [C].
Combined Optimization Decision Tree Algorithm Suitable for Large Scale Data-base [J].

The current CFD models have been validated by the experimental data obtained from the boiler for case study.
These post-combustion control systems are referred to as selective catalytic reduction (SCR) and selective non-catalytic reduction (SNCR).
SNCR typically is limited to lower NOX reduction levels but may be the more economical choice depending on the required NOX reduction or the unique project requirements.
In order to obtain accurate and effective temperature data at the location of the SNCR reagent injection points, a 3-D temperature field reconstruction measuring system [19] using 20 detectors was employed to measure the flame temperatures along the furnace height.
All the data offer a solid validation for the numerical simulations and indicate that the mesh and models adopted in the present study are suitable for investigating the three-fuel combustion of the boiler [21].

a fdhytec@126.com * Corresponding author.b cail.08s@igsnrr.ac.cn Keywords: Aquatic worms; aeration; energy use; growth model; sludge reduction Abstract: In the research, the dissolved oxygen, energy efficiency index, growth of aquatic worms and sludge reduction were determined and analyzed.
Data calculation and analysis Energy efficiency index I (nondimensional) is used to evaluate the relationship between energy utilization and operation condition of the treatment system, which is defined as the ratio between the pollutant removal rate R and energy parameter E: (1) I reflects the contribution of the system energy consumption to the wastewater treatment, that the bigger the I, the higher the energy utilization efficiency is.
A new reactor concept for sludge reduction using aquatic worms.
In-situ Tubifex sewage sludge digestion technology for sludge reduction.
Sludge reduction by predatory activity of aquatic oligochaetes in wastewater treatment plants: science or fiction?

When analyzing complex data, it is rather difficult to reach expected effect by using merely WNN.
In initial sample data, some data is important, some is incomplete.
The selection of UCI data set and experimental design information are as follows Tab 1.
According to the above steps, each data set precedes 10 time experiment; the results take its average.
Table 1 The choice of UCI data set and experimental design information Result comparison is given in Tab 2.

The data in Table 1 show that Reynolds number Re < 2300 in the main vessels, where all flow is laminar, with only weak turbulence possible at small structures in the wall or at vascular lesions.
As can be seen from the data in the table, when the number of grids reaches 479248, the error between the numerical simulation results and the theoretical value is approximately 3.3%.
Comparison of drag reduction rates of three micro-structure grooves 3.2 Analysis of Model Drag Reduction Effect.
The authors confirm contribution to the paper as follows: study conception and design: Wenting Wang, Yunqing Gu; data collection: Wenting Wang and Lingzhi Yu; analysis and interpretation of results: Lingzhi Yu, Wenting Wang, Zhuofan Yin; draft manuscript preparation: Wenting Wang, Zhou Li; methodology: Denghao Wu, Shuihua Zheng; resources: Jiegang Mou.
F., Bock, J. et al. 3D MR flow analysis in realistic rapid-prototyping model systems of the thoracic aorta: comparison with in vivo data and computational fluid dynamics in identical vessel geometries.

The matrix of correlation data is setup, the elements of which are transformed to dimensionless parameters.
Calculation principle of shear strength reduction Shear strength reduction theory.
The grey relational analysis is a part of grey system theory, make up the deficiencies of using regression analysis, variance analysis and principal component analysis etc in mathematical statistic method which requires a great deal of original data, sample to obey, according to the similarity degree of sequence curves’ geometric shape to judge the factors of change (compare factors) and reference factors’ relevance (in relational express), the bigger the correlation is, the stronger the relevance between compared factor and the influencing factor is.
The specific steps first, define the factors influencing slope stability as comparative column Xi : Xi ={X1, X2, ∧ Xm}t, corresponding slope stability coefficient as a reference column Yi : Xi ={Y1, Y2, ∧ Ym}t, Then dimensionless on each sequence Data make sequence comparable, finally obtained grey relational degree with grey relational matrix [4].
Dimensionless of matrix Due to the large difference in the compare column X and the corresponding reference column Y , we can’t compare directly, the original Data is required to be processed to make comparable, that is make the matrix Dimensionless.

This paper describes a dimension reduction method of input vector to improve classification efficiency of LVQ neural network, where GA is used to decrease the redundancy of input data.
Dimension reduction by GA is present in section Ⅲ.
denotes the number of samples in test data set.
· The Origin of Data In this paper, we choose the UCI data sets [7] as our test data, which are considered the standard data sets to compare the capability of various algorithms in data mining domain.
TABLE Ⅰ Experimental Data Sets Data Set Number of Attributes Number of Instances Number of Classes Ionosphere 34 351 2 Vehicle 18 946 4 Sonar 60 208 2 Waveform 40 5000 3 Breast Cancer 32 569 2 Vote 16 436 2 · Evaluative Method For each data set we chose in the table 1, 80 percent data instances are selected at random as training data, and the 20 percent remainder data instances are considered as test data.