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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.

A company look back on historical data for components produced in the same process line within a specific period from Jan’20 until May’20, each type of defects can be classified as presented in Fig. 2.
Thus, these measured data can be used for estimation the process variability well.
Regarding the residual plot, the assumption checking is done by observation of plotted data.
Process capability analysis is calculated by using per cent graphite nodularity data from 36 and 30 production lots compared before and after improvement respectively.
Contactless Chip Module Defect Reduction.

The performance of these catalysts for NOx reduction with CO is shown in Fig. 3.
The order of catalytic activity in the reduction of NOx with CO was Pd>Ir>Rh.
Reduction of NOx over 2.0 wt.% Pd/TiO2/Al2O3 with various TiO2 loadings.
BET data of every sample are listed in Table 1.
BET data of various samples Samples BET area (m2/g) Pore volume (cm3/g) Pore size (Å) γ-Al2O3 264 0.51 74.6 10 wt.% TiO2/Al2O3 230 0.42 69.6 15 wt.% TiO2/Al2O3 154 0.41 103.2 2.0 wt.% Pd/Al2O3 219 0.44 76.9 2.0 wt.% Pd/TiO2/Al2O3 187 0.42 85.7 2.0 wt.% Ir/Al2O3 212 0.43 78.2 2.0 wt.% Ir/TiO2/Al2O3 182 0.41 85.6 2.0 wt.% Rh/Al2O3 237 0.50 80.4 2.0 wt.% Rh/TiO2/Al2O3 209 0.47 85.2 Conclusions The sequence of catalytic activity for the NOx reduction in the CO-rich conditions of simulated post Euro-Ⅳ diesel emissions at low temperature was Pd>Ir>Rh.

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].

Intermediate K2 output data set is then sorted, and generate a new to collection, which makes all the values of the data corresponding to the same key all together.
After every Map completion of the task execution, not in a hurry to have a modifier key / value pairs to write data block file, wait for the member function call the combine, and then they have local reduction operation as an input.
The comparison of the two MapReduce algorithm for data classification experiments, the use of data by type of training method effectively improve the speedup can be found.
After the experimental data show that the entire data classification accuracy and classification efficiency has been greatly improved.
Therefore, the next work for the introduction of a new classification algorithm massive data classification research, to further improve the efficiency and accuracy of the massive data classification.

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.

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.

These data include resource consumption, energy consumption and carbon emissions as shown in Table 1.
The data of energy consumption and carbon emission on the extraction of limestone, clay and sandstone were obtained from Eco-invent data base [8].
For gypsum mining, the data developed by Ma [9] was adopted.
In addition, the data of steel production were derived from the study carried out by Wang [10].
The data of raw coal mining and crude oil extraction were from Sinocenter data-base [14].

All catalysts are prepared by impregnation reduction method and characterized by XRD and TEM.
Catalyst Ag/C has higher catalytic activity to H2O2 electro-reduction [7].
Preparation of electro-catalysts 10% Ag/C catalysts was prepared by impregnation-reduction method.
The data tell us that elevating temperature and increasing the proportion of Ag can contribute to improving the catalytic activity of Pt-Ag/C catalysts.
Conclusions Six catalysts with different atomic Pt/Ag ratio were prepared by impregnation-reduction method.

Furthermore, According to the historical data of civil aviation industry development, the feasibility and prospect of three solutions are analyzed with the method of AHP.
With the Copenhagen conference held in Dec 2009 and EUETS started on January 1 2010, aviation emission reduction draws intensive attentions around the world.
The prediction of future air transportation demand indicates: the goal of aviation emission reduction cannot be reached with only one of above solutions.
At least according to current research, it is the only effective way to validly mitigate jet-fuel crisis and aviation emission reduction.
[2] Yiping Lin: Emission Reduction and Alternative Jet-fuel.