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Therefore, we have to acquire the correct and integrated data by data preprocessing.
Data Alignment.
Simplifying data is to reduce the large amount of redundant data in points cloud.
Its can be simplified by command Modify→Data Reduction→Chordal Deviation and by altering the value of Max.
Converting Points Cloud Data.

A reduction factor was adopted to modify the ultimate tension strain derived from the planar section assumption.
At the same time，the properties of strengthened composites are not very clear and testing data is very little.
(5) If and b=290mm, the strain reduction coefficient can be calculated, that is ＝0.868.
Based on formula (6) and the experimental data, the following regression formula can be used to calculate
(2)Strain reduction coefficient is proposed in this paper, which can modify the fiber valid tensile strain, because of CFRP debonding at cracking root.

This paper provides a new method for the preparation of the SnO2/Al2O3 catalysts for NOX reduction.
However, the research on SnO2/Al2O3 catalyst for the selective catalytic reduction of NOX is far from being satisfied.
To this end, there are few reports on the NOX reduction catalyst based on electrospun SnO2/Al2O3 nanofibers.
The data from the XPS analyses of the SnO2/Al2O3 nanofibers is reported in Table 1.
Table 1 Data from the XPS analyses of the SnO2/Al2O3 nanofibers: Elements Atomic% Atomic Rations Sn / Al Sn / Al / O Sn 14.34 1:0.97 1:0.97:3.29 Al 13.59 O 47.18 C 24.91 Room temperature XRD patterns of samples annealed at selected temperatures are shown in Fig.4.

In this paper, CFD software has been used to simulate the reburning process of South American coal(SAm) so as to study the effect of the reburning on the combustion in the furnace and NOx reduction.
Reburning fuel inlets and burnout air inlets are all set on the furnace forming the reburn zone and burnout zone, and the reburn zone is situated at the height of 1.975m to 2.77m when making the bottom of the furnace as the datum.
In this work, NOx reduction effect is expressed by NOx removal rate j=1-NOCNOR×100%, where NOC is NOx emission of the conventional combustion case and NOR is NOx emission of the SAm reburning case.
Sumeet, Numerical modeling of NOx reduction using pyrolysis products from biomass-based materials, Biomass Bioenerg. 32 (2008) 146-154
Hampartsoumian, Evaluation of the optimal fuel characteristics for efficient NO reduction by coal reburning, Fuel. 76 (1997) 985-993.

The cryo-rolled (CR) Al alloy after 70% thickness reduction exhibits ultrafine grain structure as observed from its FESEM micrographs.
The thickness reduction per pass was 5% but many passes were given to achieve the required reduction of the samples.
The load–LLD data for each of the specimen was recorded for subsequent analysis.
(a) 40% reduction and (b) 70% reduction sample.
It has increased from 24 Mpa m1/2 to 28 Mpa m1/2 and 31 Mpa m1/2 to 34 Mpa m1/2 for 40 and70% thickness reductions, respectively.

The present data suggest that it may be possible to apply this technique initially for the color treatment of textile wastewater from small dyeing operations.
The present data suggest that it may be possible to apply this technique initially for the color treatment of textile wastewater from small dyeing operations.
BETSA analysis of the catalysts was carried out and the data is given in Table 2.
Table 8 presents the corresponding color, COD and TOC data.
Experiments were conducted on several days and only a few representative data is provided in Table 9.

The off-chip accesses are performed by the data fetch an data transfer two operations and the execution time Toff for Woff is sum of the time Toff1 for the data transfer which depends on the frequency fint and the timeToff2 for the data fetch which depends on the frequency fext.
The execution time T of a task can be calculated as: where is the ratio between the data transfer time and the data fetch time and is set to be 0.35 based on the experimental results.
According to the on-chip workload and off-chip workload, the system energy consumption for a task at frequency combination Fn is given as: where is the power of the system for the standby state at Fn. , and are system power at Fn for on-chip workload, data transfer and data fetch respectively.
The relationship between energy consumption of PMP and the ratio ρ at different frequency combinations We review the energy model for PMP and set the power parameters according to the experimental data.
Simulation result The proposed algorithms DVFS_AFC and DVFS_TFC are simulated by the energy model for PMP whose power parameters fit the experimental data.

Survey data is utilized to determine daily optimum charging profile and increase the functionality of EVs.
A case study is performed in the university campus and the simulation is realized in MATLAB/Simulink environment with actual data.
This controller collects several data such as phase voltages and power capacity of substation, power demand of EE building for protecting the power grid any harmful conditions during the charging process by controller.
In this period, EVs can be used as an energy source and peak demand reduction is obtained.
Simulation results and discussion EVs are distributed on three phases of power grid and survey data is processed.

Based on observations of graphite particle size under SEM, database built with 223 data points.
Data base spread used for ANN modelling.
In present work data were normalised in the range of ±0.5 based on following equation: pn=2p0-pminpmax-pmin-1 (3) where, p0 is the point observed data, pn is scaled data and pmax, pmin are the maximum and minimum observed data points.
For developing model the available data were separated as 70% for training, 15% for validation and 15% for testing.
The model output for the mentioned input data is shown in Fig. 1d, where dots are representing the mean particle size after milling of specified time intervals.

Vehicle weight reduction is an important measure to reduce fuel consumption, drop the pollutant emissions and noise and vibration reduction.
It is also a way of vehicle weight reduction such as adopting the new technology such as bonding.
Dow Chemical To set up a joint venture with Turkey AKSA with mainly the production of carbon fiber(AKSA is the world's largest acrylic fiber manufacturer, got involved in the carbon fiber industry in 2008) 7 2011 Japan's Teijin large carbon fiber company Develop the mass production of carbon fiber l frame instead of stee Data sources: official website and related statistical agencies. 2 The main reason analysis In this paper, on the basis of extensive investigation , the main reasons have been made a detailed analysis , and the next five aspects can be summarized: .First of all, at the present stage, it is difficult for our car enterprises to fundamentally solve the contradiction between the weight and safety.
Automobile weight reduction will affect on safety performance.
Doctoral Fund of Ministry of education project” Automobile Full Life Cycle Evaluation of Energy Saving and Emission Reduction Based on Technological Change” （20090161110008）.