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Then the accepted model is measured and the CAD and CAM programs are compiled based on the measured data.
Sampling Strategy and Data Reconstruction Sampling strategy is important to obtain all the required data with high accuracy in a short time.
Due to huge amount of sampled data a data reduction [6] algorithm based on distance criterion is applied before data reconstruction [7].
Pm will be kept for further data processing if 0δ δ> , and Pm will be used as the new end point.
All the data points are projected to ww wx O y plane of the world coordinate system.

Abstract.Based on the remote sensing data and meteorological data of MODIS, this paper studied the water conservation capacity of different land use type of the ecotone of the forest and grassland in HulunBuir with the help of the ArcGIS software.
This type of soil’s fertility is poorer and appears the fixed, semi-fixed and flow state.[2] Research Method The meteorological data need to be rasterized in computation to make it match the remote sensing data in the space.
The pixel size and the projection are consistent with NDVI data
（1）The calculation method of vegetation coverage The evaluation of the main ecosystem service function of the study area is mainly based on the Modis—NDVI data.
c.The calculation method of the total quality of the water conservation Q=Q1+Q2（6） The total rainfall data used in the formula above is comes from the meteorological data of the meteorological stations.

Data are shown as mean ± SD of 4 replications (3 batches of plants for 1 replicates per treatment).
Data are shown as mean ± SD of three replicates.
After 12 days of Cd treatment, significant reductions were observed in Pn (Fig. 4A), Gs (Fig. 4B) and E (Fig. 4D).
By day 12, reductions in Pn were 57% and 35% in the mutant and wild type rice under Cd treatments, respectively, reductions in Gs were 49% and 29%, respectively, and reductions in E were 31% and 19%, respectively (Fig. 4).
Conclusions Cd reduced plant height, dry mass and chlorophyll content, and the reduction became larger with increased Cd exposure time.

An analysis model for edge rolling was established according to the data and rolling operating condition of a continuous hot strip rolling mill listed in Table 1.
Fig. 3 Influence of slab width on dog bone Fig. 4 Influence of reduction of edge roll on dog bone Influence of Reduction of Edge Roll on Dog Bone Deformation.
The influence of reduction of edge roll on dog bone deformation is shown in Fig. 4.
In the study, slab width is 750mm and reduction of edge roll is 60mm.
In the study, slab thickness is 160mm and reduction of edge roll is 60mm.

The experiments were carried out on the special designed pellet mill and the wireless torque testing system was used to analysis the torque datum.
It is shown the computing datum is very close to the experimental results.
The researches are helpful to the optimal structural design, energy consume reduction and proper use of the pellet mill in practice.
The solution is scheme b shown in Fig. 5, bridge circuit is shown in Fig. 6, spot testing picture is presented in Fig. 7 and interface of data acquisition is shown in Fig. 8.
Fig. 5 Sticking schemes of strain foils Fig. 6 Schematic drawing of for torque test bridge circuit of strain foils Fig.7 Testing picture Fig.8 Data acquisition picture Experimental material is chicken feed, the structural parameters of pellet mill are as follows: ring die radius R=175mm; roller number Z=2; ring die width B=110mm; die hole radius rh=1.75mm; die hole length L=35mm; percentage of die opening area =0.3; Roller radius r=80mm; linear velocity V=6.1m/s.

Those kinematic data was carried out through three major steps: wavelet transformation, Principle Component Analysis (PCA) -based dimensionality reduction and k-fold cross-validation, followed by implementing a best classifier to distinguish 6 difference actions.
Capturing acceleration data.
The data coming from volunteers 1# to 5# and 12#, 13# are arranged used for train, the data coming from volunteers 6# to 11# are arranged used for test.
So that, a total of 492 kinematic data were recorded from 13 volunteers, 420 data of them will be used in train from 7 volunteers, and 72 data which any data from subjects did not been used by train will be used in test from 6 volunteers.
First, raw data are pre-processing by segmenting interest single action from original kinematic data, i.e., the action signal data, through shifting; cropping and size normalizations to save processing time and increase processing speed.

Introduction Magnetic nanowires of the iron group metals (Fe, Ni, Co) have been of great interest at present for their different applications which includes biomedical applications [1], advanced data storage and magneto-electronic applications [2].
On the other hand, the reduction rate is lowered when the amount of Ni is increased.
This then leads to faster reduction rate, which forms thicker and shorter nanowires.
“Template-free Synthesis of One-dimensional Cobalt Nanostructures by Hydrazine Reduction Route”.
Materials Letters, Science Direct, 2006. http://www.sciencedirect.com [17] International Center for Diffraction Data.

The reduction rate with mineral powder is smaller.
Research results provide valuable experimental data for the engineering application of inorganic polymer concrete.
And the reduction rate of specimens with mineral powder is smaller.
The reduction rate of specimens with mineral powder is smaller.
The reduction rate is about 8%.

FG was a knowledge representation and data mining method to mine the intrinsic link between the data and improve the clarity of the potential knowledge.
The discrete signs attribute data sets were shown in table 3.
Discrete signs attribute data sets.
FG was a new knowledge represent and data mining method, the link between data was performed in graphical method.
The FG after reduced Through the FG can did layer reduction [11].

The simulation meshes of the thus generated database are standardized with respect to comparability (same number of nodes) and a data reduction is performed.
Principal component analysis (PCA) Various multivariate statistical methods exist to achieve data compression of higher dimensional data sets.
This type of dimensionality reduction allows the information content to be summarized, making it possible to store and analyze large amounts of data in a simplified and less time-consuming manner [18].
Data Preparation 3.1.
Therefore, a data reduction is necessary to enable a fast visualization of the results.