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Data fusion usually has three links: Data acquisition, feature extraction and reasoning decision.
It has tree three levels: Data level, feature level and decision level.
It provides data reduction to feature level.
In feature level, data of images can be classified in computer.
The data processing efficiency of decision level can be improved by this step.

The experiments data showed the aerodynamic noise of the two airfoils are reduced by 4-8dB and 4dB compared with the smooth airfoil[8].
(a) Arrangement of the sensors inside the cylinder (b) Arrangement of the sensors on surface of the cylinder Fig.12 Locations of the sensors on the cylinders 5 Analysis of experimental data The data from fluctuating pressure test is time series signals.
The results of the fluctuating pressure test data are the center frequency of 1/3 octave spectrum.
With ，. 5.1 Comparison of experimental data The sensor 1 and the sensor 5 are damaged during the experiment, so here only gives the fluctuating pressure comparison of other six sensors.
The wind tunnel experiment data show that the total fluctuating pressure of bionic wavy cylinder model is significantly lower than that of the smooth cylinder model at wind speed of 42m/s. 4.

Clean Development Mechanism and Carbon Trading Market Construction in China Zhihong Yang1,a, Shuangjian Li1,b, Yipu Zhou1,c, Qi Wang2,d and Qinzhe Liu3,e 1 National Marine Data and Information Service, No. 93, Liuwei Road, Hedong District, Tianjin, China 2 Xiangyang NCO School of Military Economy College, Xiangyang, Hubei Province, China 3 China Classification Society Industrial Corp., TEDA, Tianjin, China a kuailefeixiang@163.com, b youngdoctor@msn.cn, c yipu.ok@163.com, d mrwangqi1981@126.com, e qzhliu@ccsi.com.cn Keywords: CDM project, Carbon trading market, CERs, Carbon leakage Abstract.
Introduction Chinese government has set strict Greenhouse Gas (GHG) emission reduction targets and since then achieved higher success.
It allows emission-reduction projects in developing countries to earn certified emission reduction (CER) credits, each equivalent to one ton of CO2.
In recent years, industrialized countries and regions such as EU and USA have promoted the reduction goals of GHG constantly.
In order to maintain the market order, it is necessary to build up continuous systems for emission monitoring, to publish and update the transaction information, and to register illegal emissions and inaccurate data.

An FE model of a spindle unit is created and validated with experimental data by solving an optimisation problem.
It has not only to be capable of driving the tool but also of transferring energy, media and data at the same time.
Figure 4: Measured and calculated frequency response functions Concepts for the transmission of media, data and energy This section deals with possible solutions for transmitting energy, media and data through the hollow shaft taper and the spindle shaft.
Concept 2 shows the greatest reduction in axial stiffness.
An FE model of a spindle unit was created and validated by using experimental data.

By using Rist operating line for the indirect reduction zone, as seen in Fig.2, direct reduction degree of the new process can be calculated, and thus indirect reduction degree can be obtained.
Direct reduction degree equals y-coordinate of point B. 3.
Theoretical analysis of model results 5.1 Data used in the model In this study, data used in the model are derived from a real operating blast furnace in China.
Set VRG-h as 250 m3/thm, and keep other data unchanged.
Table 7 Results derived from a different VRG-h data value data value direct reduction degree 0.29 volume fraction of CO in top gas (%) 45.88 blast volume (90% O2) (m3/thm) 219 volume fraction of CO2 in top gas (%) 34.68 volume of gas in hearth (m3/thm) 676 volume fraction of H2 in top gas (%) 4.50 volume of gas in belly (m3/thm) 804 volume fraction of H2O in top gas (%) 2.99 gas volume in lower shaft (m3/thm) 1255 volume fraction of CH4 in top gas (%) 2.61 volume of gas at top (m3/thm) 1293 volume fraction of N2 in top gas (%) 9.34 6.

Data from [1-6] The application of materials based on silicon carbide should be a solution to many of the shortcomings that arise from the use of conventional materials.
The measured data are provided to the polishing machine, which processes the sample with respect to the data.
Analysis also shows the critical points and the possibilities for mass reduction; 4.
The results correspond to the conclusions drawn from the data in Table 2.
References [1] Shott, Optical Glass Data Sheets. www.schott.com (2009) [2] Crystran Ltd., www.crystran.co.uk/materials-data.htm (2009) [3] Corning, www.corning.com (2006) [4] Hoya Corporation, Optical Glass Master Datasheet, Excel file, www.hoyaoptics.com/products/document_library.htm (2010) [5] P.R.Yoder, Opto-mechanical Systems Design, Bellingham, Wash., SPIE, Pg 119-120. (2006) [6] Information on Matweb, Material Property Data. 201, www.matweb.com (2010) [7] Information on ESA Science and Technology, Solar Orbiter, http://sci.esa.int/solarorbiter

For CMB, both ambient data and specific source profiles are needed.
Because PMF is based on ambient data only, it is convenient to carry out VOC source identification and apportionment.
In order to avoid any unrealistic data distorting the source analysis result, some species that are not well-characterized.
The final data set contained 21 VOC species at MBT.
The vehicle related source contribution at MBT is generally similar to the data collected at Beijing (64%) and urban Milan (60-80%) and lower than that detected at traffic intersections (82~87% ).

Outcomes of a recently proposed analytical model are compared with extensive experimental data and model uncertainty is quantified.
It appears that the model is in a good agreement with experimental data and provides reasonably conservative estimates of load carrying capacity.
In the absence of statistical data these indications are accepted for cast-iron columns.
For low slenderness ratios, λ < 25, Approach 1 numerically fails as the reduction factor exceeds unity.
Taking into account the limited amount of data, the following recommendations are provided on the basis of the results given in Table 2: -  Model uncertainty characteristics µθ ≈ 1.2 and Vθ ≈ 0.15 should be considered when compressive strength is decisive in Equation (2), -  µθ ≈ 1.25 and Vθ ≈ 0.15 should be considered when tensile strength is governing resistance of a cast-iron column.

Analysis of absorption and reflection data indicates towards the reduction in optical band gap and increase in refractive index of the resulting nanocomposite.
In present work, Ag-PMMA nanocomposite films were prepared by chemical reduction method with thickness in the range of 20-30 µm.
Initially, the reduction of Ag+ ions leads to the formation of silver atoms (Ag0), which is followed by agglomeration into clusters [6].
UV-VIS absorption data was further analysed to calculate optical band gap and refractive index of Ag-PMMA nanocomposite films.

This oxidation peak will usually have a similar shape to the reduction peak.
Furthermore, by compare the test data of two groups of the samples, one is 0318, MCMB22, AGP-3-2, and another is 0318-GLQ, MCMB22, GP-3-2-2, we can see that mixed processing may be uncertain about the performance improvement of the first efficiency, and even worse.
From the data listed in Table 3, we can predict the reversibility of AGP-3-2-2 is best, and AGP-3-2 is worst.
From the experiment data in Fig.1, we can see the high-rate performance of AGP-3-2-1 is superior for the first cycle, but for the 2nd and 3rd cycle, the peak current of AGP-3-2-2 is greater, so the rate performance of its is superior, According to the test results in Fig.1, the high-rate performance of the samples in the order is: AGP-3-2-2 > AGP-3-2-1 > 0318-GLQ > 0318 > MCMB22 > AGP-3-2.
By the comparison analysis of the data for 0318-GLQ, 0318 and AGP-3-2-1, AGP-3-2, we know the pitch-coating modification have a positive effect on improving rate performance of the material. 3 Conclusions 1) The surface conditions of different materials will be a big difference, modification of materials will change their surface state, and then effect the formation of a uniform SEI film, which is an important factor for the electrochemical performance of battery.