Search results

Climate warming is supported by clear scientific data, and the rapid changing since 1950 is unprecedented for millennium.
Statistical data as of May 1, 2014 [11] shows that the number of Chinese CDM projects registered in the UNFCCC is totally 3749, accounting for 50.11% of the global number; the annual carbon emission reductions arising from the first crediting period is up to 594333 ktCO2e, accounting for 60.88% of global CDM market; up to the end of 2012, it had produced emission reductions of 1297787 ktCO2e, accounting for 58.43% of the total emission reduction generated by global CDM projects, and it will generate 5956304 ktCO2e emission reductions by 2020, which accounts for 62.41% of the global number.
The The enhanced awareness of energy conservation and emission reduction.
The emission reduction quota forms the Chinese certified emissions reductions (CCER).
The overlapping and interaction of these policies, some of which still under progress, on the one hand, provide foundations, infrastructure, capacity, and data basis for ETS in China, and on the other hand, offer some challenges (e.g., multiple targets such as energy, renewable, carbon etc.) that might lead to confusion for local governments and enterprises, overlapping of mitigation efforts and multiple trading commodities (with potential of double accounting) [16].

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.

Failure Mechanism of a slope anti-sliding pile Lin Chen1,a,Yong Yao2,b,Jiong Yang3,c, and Zhaoqiang Zhang4,d 1,2,3,4 Collage of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang,China a719197246@qq.com,byy001221@163.com,cjionyang@tom.com,d52282843@qq.com Keywords: finite element strength reduction method,anti-sliding pile,slope engineering.
Abstract:According to finite element strength reduction method，the article has discussed the failure mechanism of anti-sliding pile by using finite element software MIDAS /GTS , exploration report and anti-sliding pile design data.The comparative analysis shows that the failure of anti-siding pile is contributed by the slope excavation and rainwater.The analysis method and results can provide reference significance to other anti-sliding pile design.This paper also provide a feasible method for prediction of consequence in slope excavation.
Strength Reduction FEM.Traditional slope designing method is based on limit equilibrium method(such as the Swedish circular method, the Bishop method, the Sama method, Spence method, the unbalance thrust transmission method, etc).All of them are based on the slippery surface crack for the shapes of predetermined, but they can not reflect the soil's stress-strain relationship very well.The basic principle of the strength reduction FEM likes this : a reduction coefficient F divides the value of stick together force c and internal friction angle φ, it would get a new c ', φ '.
And then we would let the new c ', φ ' as a new parameter data to input, finishing doing this we would try to calculate.
[9] Zhen Yingren;Zhao Shangyi.Slope Stability Analysis by Strength Reduction FEM.Engineering Science.2002,4(10):58-59 [10] Concrete Structure Design Code.GB 50010-2010 The PRC of housing and urban ministry of construction.2010.8:19-24

Algorithm based on wavelet was studied for noise reduction of data cloud, and one volume calculation model was raised.
Wavelet and Riemann algorithms were used to reduce noise of measured data and volume calculation.
Comparison Experiment And Data Analysis To verify the measuring method discussed above, comparison experiment system was designed.
Because the data from laser scanning method is arranged by linear array, the B-spline or NURBS was used to reconstruct the surface of horizontal tank shell.
Zhao: 3D Laser Scanner Data Acquisition System Developed (In Chinese).

All partial data affected by the presence of other vehicles was removed to maintain the most consistent experimental conditions.
Data Manipulation Data that affected the driver's physiological and psychological and driving behavior characteristics in non-tunnel lighting conditions was excluded in the 50 groups of sample data obtained in the experiments and from the 15 groups of samples in the test of car drivers in free-flow traffic conditions.
Based upon the calculation principle of the representative value, we calculated the 15 data groups shown in Table3.
(1)Relationship between CRP and LRC The relationship between the CRP and the reciprocal of the LRC in the 15 groups of sample data from the tunnel threshold zone lighting can be drawn on a scatter diagram in Fig.2.
Fig.2 Relationship between CRP and the reciprocal of LRC (2)Relationship between CRP and V The relationship between the CRP and V of the 15 sample groups of data at the tunnel threshold zone lighting is shown in the scatter diagram in Fig.3.

In point cloud data pre-processing, salient outliers are manually removed; Gaussian filter is used for noise suppression; curvature-based sampling is adopted for data reduction.
Data reduction is needed for high efficiency.
In the encircle box reduction, an encircle box which is composed of a quadrangle is used to filtrate data inside or outside the box.
The reduction results of the point cloud data shows in Fig.4.
Then, Gaussian filter, curvature-based sampling data reduction, etc. are used in data pre-processing.

Application of a Wavelet Extension De-noising Method In Seismic Data Processing Ye Wua, Bo Zhangb and Jia Weic 1 Institute of Disaster-Prevention Science & Technology, Yanjiao, Sanhe city, 065201 China asun_wuye@163.com, bzhangbo199011@163.com, cwj@163.com Keywords: Wavelet Transform; extension; seismic data; signal de-noising Abstract.
We have removed the high frequency noise in seismic data based on the suppressing detail components method, Fourier transform filtering method, WED method and reconstructing the 5th layer approximate coefficient method respectively, and the results show that the WED method can more effectively restrain noise than the other methods.
[6] Shu Li, Yucheng Shi, Yuankun Huo, Yan Tang, Based on the MATLAB seismic signal wavelet noise reduction, Gansu science and technology , 26(15), (2010), pp:54-55
[9] Junhua Zhang, Youxi Le, The wavelet transform and the fractal properties in the improvement of seismic data of the application of the resolution.
[12] Jingguang Ceng, Yaqin Shu, Yong Zhong, Fractal and chaos characteristics of seismic data, Petroleum geophysical exploration, 30(6), (1995), 743-748.

Investigation of Effects of Changing Blade Position and Size Reduction on Performance of Axial Pump used as Turbine 1A.
In this present work, an axial pump is simulated in reverse mode by computational fluid dynamics using different turbulence models and Characteristic curves of the reverse pump are obtained for each turbulence model and are compared with experimental data.
Comparison of turbulence models results The results of all models are compared with experimental data and are shown in Figs. 3-5.
Impeller size reduction increases head, but decreases flow rates and maximum efficiency.
Lai, Hydraulic analysis of a pump as a turbine with CFD and experimental data, ImechE, Seminar Proc. of Advances of CFD in Fluid Machinery Design, 2003, London, England

Tel:+86-411-84106890, Fax: +86-411-84106890, E-mail: mujun@djtu.edu.cn Keyword microbial reduction oxidation method Fe3O4 nanoparticle sulfate-reducing bacterium Abstract By using microbial reduction combining natural oxidation method, magnetic Fe3O4 nanoparticles have been synthesized.
This paper prepared magnetic Fe3O4 nanoparticles by using microbial reduction combining natural oxidation method, the new method is first reported in this paper.
Data and information of the Figure 3 shows atomic ratio of O and Fe in the sample is approximately equal to 1.
It has stated that FeS nanoparticles is thoroughly turned into FeO nanoparticles, Figure 4 is EDS (energy dispersive spectroscopy）Spectrum and Element analysis of product , Data and information of the Figure 4 shows atomic ratio of O and Fe in the sample is approximately equal to 1.128.
SEM images of FeO and Fe3O4 Conclusions In summary, the magnetic nano Fe3O4 materials have been successfully synthesized by using microbial reduction combining natural oxidation method.

However, there is a need to customize those tools according to the nature of the data type.
In this case, the observed data is defective rate, which is an attribute data.
Thus, relevant literatures regarding the analysis of attribute data need to be reviewed.
This data shows the vital few and trivial many behavior of Pareto’s principle.
Since the measurement is an attribute data, Attribute Agreement Analysis was then performed.