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Since before a material can be used in an aerospace system, it must be qualified for use, materials qualification procedure is also presented with an example of shared data.
AA2195 offers a 50% increase in strength, a 5 % increase in elastic modulus, and a 5% reduction in density compared with the conventional AA2219 alloy that it replaces [8].
Doyle, “A Composite Material Qualification Method That Results in Cost, Time and Risk Reduction”, Proceedings of the 32nd International SAMPE Technical Conference, November 5-9 2000, Boston, MA.

The results from the simulation of electric field and dissipated heat were compared with available data in literature and showed the validity of the analysis.
For further work, simulation of the temperature distribution and weight reduction or oxidation in a sample during microwave heating would be required to improve the knowledge.
Al-Kayiem: Soot Reduction Strategy: a Review, Journal of Applied Science, vol. 12, no. 23, pp. 2338-2345, (2012)

However, several important parameters to imagine droplets behavior such as droplets velocity, droplets flying direction, droplets size reduction rate or droplets evaporation rate cannot be obtained by single nano-spark photography method.
By applying dual nano-spark method, it can offer information on droplets behavior such as droplets velocity, flying direction and droplets size reduction rate inside spray boundary region and spray tip region.
Critical data such as droplet sizing can be extracted from this high resolution image.

SCADA concepts SCADA stands for Supervisory Control and Data Acquisition.
Traditional data analysis tools include: - Rule-based expert systems that interpret SCADA data
Traditional tools described above are used to analyze the data.
Agencies can combine sensory data and knowledge.
(h) The cost for network data transport can be different than zero.

Through the services of data processing, resource management, development, deployment etc. provided by PaaS, all relevant mass data is modularized and platformed.
Security policy management of cloud computing After the collection and storage of mass data, the security of user data has become more and more important.
In the side of mass data acquisition and interface data output, hardware firewall is configured to ensure the system operation security.
MapReduce: Simplified Data Processing on Large Clusters [J].
MapReduce: a flexible data processing tool[J].

Forces in the three directions are measured on the spindle with force spikes being observed when the tool changes direction at pyramid corners, and reductions in force when stepping between contours.
Fig. 4 shows new data on maximum forming angles for cones in AA3003-O for 12.7 mm (1/2 in) tool, fixed spindle speed of 800 RPM, and a maximum feedrate of 42 mm/s (100 in/min); the dashed line is the material thickness, 1.3 mm, under investigation for this paper; cones and pyramids are expected to fail at similar forming angles.
The forming tool is a rotating component, and it is necessary to have slip rings to connect the strain gauge bridges to their respective signal conditioners and the data acquisition system.
Estimates of the magnitude of bending forces can be obtained from the data.
For instance, the data in Fig. 7 gives an estimate of 150 N for the total bending force, which is obtained by summing Fb1 and Fb2.

Utilizing RS and the GIS software, remote datum were matched and classified.
Multi-temporal TM Multispectral combined Statistical data Literature analysis Image registration Field survey Classification and information extraction Dynamic change of spatial-temporal pattern ERDAS9.2 ARCGIS10 Figure 1 Sketch map of Technical Route B.research methods Based on RS, GIS new technology, qualitative analysis and quantitative method are integrated [6].
As shown in Figure 1, based on the different periods of remote sensing image, through the RS, GIS software for image registration and correction, interpretation and classification process, analysis the Wuhu wetland landscape pattern evolution process; at the same time to consult the relevant statistical data of wetland resources, spatial and temporal patterns of rapid evolution mechanism; finally on wetland resources protection is presented some countermeasures to the drawn together, the useful enlightenment, for the sustainable development of the region to provide policy and decision support.The underlying data source selection in 1988, 2001 and 2005 TM image, TM image resolution is 30m.
wetland resources distribution has increased and spatial distribution is more balanced, so that the Wuhu section of Yangtze River wetland resources overall is degraded, but Wuhu City building Wetland, the spatial distribution of quantity and quality are good, the Wuhu city is carried out "tourism city" city target, city ecological function maintain better, to Wuhu city for further industrialization and city change a process to provide environmental foundation.(3) from table 3 calculating the annual change rate, 1988-2001 years 12 years in Wuhu section of Yangtze River Wetland annual variation rate is amounted to 1.82%, among them paddy field change speed, annual variation rate of -6.97%.In 4 years 2001-2005 years, dry land area change the fastest, the annual rate of change for -11.28%.This shows, the Wuhu section of the Yangtze River in recent years the population growth and the spread of city expansion is the result of study area land resource the main driving forces of the change, the reduction

The used data mainly comes from soil quality data set that recorded by the second national soil inventory data and the latest data of cropland productivity evaluation in Lower reaches of Liaohe River Plain, including latitude and longitude, soil type, soil organic carbon, annual precipitation, annual average temperature, density, clay, pH etc.
The meteorological data comes from the long-term meteorological station in Lower reaches of Liaohe River Plain.
The annual average temperature and the annual average water supply are obtained through meteorological observation data after interposing data and extracting attribute.
Data processing and statistical analysis is finished with Microsoft Excel, Spatial analysis and statistical analysis is finished with ArcGIS 9.2.
Soil and climate spatial data is obtained by spatial interpolation through the site data in Lower reaches of Liaohe River Plain, which is difficult to simulate the actual variable’s space variability completely[4,5], so it causes the uncertainty of potential estimate.

The modal takes decomposition method of seismic action, the damping ratio of 0.04 and the structure of the natural cycle reduction factor of 0.85.
The results are shown in table 2 and table 3 after calculated by MIDAS GEN software [2]: Note: KJ stands for frame structure; LT-KJ stands for stair-frame structure The datum show that in addition to the displacement of the top layer increased slightly, the rest of most story drift, average story drift, displacement angle and most layer drift decreased from the table 2.
Most of the data to reduce the second and third layer within 10%, basically meet the requirements of engineering precision.
Table 3 The story drift of frame structure and the stair-frame structure Y direction (mm) Floor 1 2 3 Floor 1 2 3 Most story drift KJ 12.04 14.11 8.65 Average story drift KJ 11.06 13.05 8.02 LT-KJ 8.79 10.85 8.81 LT-KJ 8.31 10.26 8.56 Increment -27.0% -23.1% 1.9% Increment -24.9% -21.4% 6.7% Displacement angle KJ 1/324 1/276 1/451 Most layer drift KJ 13.87 29.76 38.93 LT-KJ 1/444 1/359 1/443 LT-KJ 10.06 22.27 31.83 Increment -27.0% -23.1% 1.8% Increment -27.4% -25.2% -18.2% The datum show that in addition to the displacement between the top layer increased slightly, the rest of most story drift, average story drift, displacement angle and most layer drift decreased by 20% from the table 3, its error is serious than allowing error range.
Table 4 Comparison results of stairs arrangement about mass center and center of rigidity (m) Arrangement Ignore the stairs influence Stairs symmetrical placement Single stair edge placement Stairs near mass center placement Centric coordinates X-coordinate 15.480 15.480 15.480 15.480 Y-coordinate 10.800 10.800 10.800 10.800 center of rigidity coordinates X-coordinate 11.000 15.832 23.392 16.394 Y-coordinate 16.000 11.317 11.564 11.096 Distance between mass center and center of rigidity 6.864 0.625 7.949 0.961 The datum from table 4 show those, if the stairs make the symmetrical placement or near mass center placement, they enlarge the torsion effect seriously by 11 and 7 times respectively.

Primary Content Analysis (PCA) is one of a relatively mature data compression and indices dimension reduction technology.[3] However, traditional PCA treat every ingredient equally, so the customer requirements’ specialties are often not considered which also leads to over control or under control of the production process.
We randomly extract 60 records from the inline quality inspection data as shown in Table 1.
After the customer requirement-weighted process the standardized data of elements is turned to be ZC, ZP and ZS etc, as shown in Table. 3.
Table 3 Customer requirement-weighted data of elements (%) n ZC … ZP ZS … ZTi 1 0.0084 … 0.0168 -0.2888 … -0.0325 2 -0.1923 … -0.2355 -0.1925 … -0.0519 3 0.0084 … -0.2355 -0.1925 … -0.0325 … 60 -0.0920 … 0.0799 0.1925 … 0.0966 Primary Content Analysis method for CRW data After weighted processing, the characteristics mostly exist positive or negative correlation, For this example, the correlation between vectors of elements are shown in Table.4, so we have to compress the data by PCA method.
Put these data into SPSS or matlab software, we can obtain the multivariate control charts of average and range R as shown in Fig.3 and Fig.4.