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Spending a lot of time to account the logistic cost data can only play a role in the financial budget, and cost accounting is just to know how much the logistic is, which does not apply the logistic cost data.
Then the data base will be used [6].
It is assumed that there are appraisable schemes and indexes, and there are primitive data.
The primitive data is shown in Table 1.
The data are listed in tables 2 and 3 respectively.

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.

Automotive Reclaiming Energy Vibration Reduction System Based on Electric Control Rectifying Valve Bintao Zhanga School of Automobile Engineering, Wuhan University of Technology, Wuhan 430000, China abintao3722@126.com Key words: vibration reduction system; energy recovery; rectifying valve; energy conservation and pollution reduction Abstract.
This paper will present Automotive Reclaiming Energy Vibration Reduction System Based on Electric Control Rectifying Valve in 7 parts.
These data show that the system can significantly reduce cars’ fossil fuels consumption, and will alleviate the energy crisis effectively.
Therefore, this system is very potential in energy conservation and pollution reduction and can bring great economic benefits.
In summary, automotive reclaiming energy vibration reduction system based on electric control rectifying valve is a reliable, efficient, and great prospective vehicle vibration energy recovery system, with positive meaning to the popularity of green energy and energy conservation and pollution reduction.

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.

Wavelet Transform Based 3D Scattered Data Processing in Binocular Micro Stereovision System C.
Keywords: wavelets transform, scattered data, edge extraction, median filter Abstract.
In micro stereovision system, false matching due to the randomicity of image signal makes 3D reconstruction data contain a large amount of abnormal data in the form of noise (pulse noise, Gauss noise).
Experimental results indicate that the method proposed is effective to removing abnormal data from the 3D reconstructed data and enables 3D measurement position accuracy to reach 3 mµ .
All these drawbacks make the 3D shape reconstruction data contain a large amount of abnormal points.

Green-efficiency Assessment of Chinese Industry Based on Principal Component Analysis and Super-efficiency Data Envelopment Analysis Ruijie LIU1, Zhihui ZHANG1 1 Dept of Construction Management, Tsinghua University, Beijing, China Keywords: Industry, Principal Component Analysis, Super-efficiency Data Envelopment Analysis, Green-efficiency Assessment Abstract.
Evaluation Methods Super-efficiency Data Envelopment Analysis.
Adopting principal component analysis in dimension reduction can overcome the limitations of DEA input-output indicators, make full use of available data, and avoid subjective factors in the selection of indicators.
As the DEA model requires the input-output data to be positive number, and a negative number will exist in the principal component analysis result, so there is a need of conversion to turn all the data positive and ensure the relative gap between data of different years unchanged.
By utilizing the data of Chinese industrial input-output indicators in Table 2 as an example, the super-efficiency DEA model calculates the Chinese industrial green efficiency.

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 effectiveness of noise reduction of the noise barrier can be affected by many factors.
The data indicates that noise reduction results of noise barrier of the viaduct are generally relatively lower than expected.
The effects of the viaduct and noise barrier vibration on the noise reduction of the noise barrier are studied using the combination of the test data and a real viaduct and noise barrier.
The analysis of the noise reduction amount of the noise barrier.
Therefore, the noise reduction result of the noise barrier reduce 2.3dBA because of the influence of viaduct sound radiation, the impact on noise reduction result of the noise barrier is remarkable.

The kinetic parameters of each stage of LiFePO4 material prepared by carbothermal reduction method were calculated using the Doyle-Ozawa and Kissinger methods.
Carbonthermal reduction technology has been studied by lots of domestic and foreign researchers, however kinetics of carbonthermal reduction process is rarely investigated.
LiFePO4 material is synthesized by carbothermal reduction method using FePO4 as iron sources in this paper.
The optimized synthesis process and the design and optimization of equipment for mass production could be obtained by the data and results. 2.
The apparent activation energy of each step of LiFePO4 material prepared by carbothermal reduction method is calculated using the Doyle-Ozawa and Kissinger methods.

Mn/Ba/Al2O3 indicated high activity of NO oxidation and NOx storage in the oxidation-storage reaction and certain reduction activity in the storage-reduction reaction.
Table 1 Catalyst formulations Catalyst Pt loading/% Ba loading/% Mn loading/% Mn/Ba/Al2O3 — 15.0 5.0 Pt/Ba/Al2O3 1.0 15.0 — Mn/Ba/Al2O3-Pt/Ba/Al2O3 0.5 15.0 5.0 Mn/Ba/Al2O3+Pt/Ba/Al2O3 0.5 15.0 5.0 2.2 NO Oxidation-storage The NO oxidation-storage activity data were obtained using a conventional fixed-bed flow reactor at atmospheric pressure.
The storage-reduction reaction performed 2 h, namely 10 cycles.
NOx storage-reduction catalysts for gasoline engines.
NOx storage-reduction over combined catalyst Mn/Ba/Al2O3-Pt/Ba/Al2O3.