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Important for a measurement result is the detection of as many data points as possible.
Ideally the gathered datasets should exhibit lacks of data points.
Cause-effect matrix Evaluation of importance for customers (1-10) 7 7 3 9 3     Process Inputs Many data points No missing data points wide measurement area high resolution fast measurement Sum 1 Angle 3 7 7 3 1 121 2 Orientation 3 3 7 7 1 129 3 Sensor type 7 3 9 9 3 187 4 Reflection 9 9 1 1 1 141 5 Ambient light 7 7 1 1 1 113 6 Temperature 1 1 1 1 1 29 7 Vibration 1 1 1 1 1 29 8 Dirt 1 3 1 1 1 43 9 Filtration 3 3 1 3 3 81 10 Experience 7 7 1 1 3 119 11 Motivation 7 7 1 1 3 119   Total 343 357 93 261 57   The final evaluation of the complete relevance of an input factor is done by equation 1.
For the use of the measurement system for detecting data in order of deriving process improvements, the number of clearly distinguishable categories has to be at least five.
For a further selection of the data, the variations of the different measurement angles are considered.

The objective of the present paper is to offer a model-based damage detection technique by relying on vibrations test data.
Validation of the damage detection methods by the experimental data is then followed.
Application to Experimental Data.
We have carried out the damage detection procedure to experimental strain data obtained on the CFRP filament winding pipe mentioned before.
The strain data have been measured at the center of (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) : Strain gage location Fig. 1.

Introduction Face image is of high dimension data.
Data feature extraction (matrix reduction) is a basic and important part of the face recognition technology and also is the key to solve the problem of face recognition.
So experimental data and curves are not able to prove that FPCA is a feature extraction method is better than B2DPCA in reference.
The experimental data of the generalization performance are shown in table 1.

(4) Delete the overlap surface and merge the data, then we remove the noise reduction from the point cloud data and finish the work of data stitching.
Finally, we compare the three-dimensional full-size the of point cloud data with that of the CAD model to analyze the result.

Finally, using the related data, this paper selects the adaptive servo motor.
In order to obtain more real data and simplified the difficulty of the solving, this paper makes simulation of some important parts of the grasping and handing process.
Table 1 The data of torque and angular velocity Name Result Joint1（Main arm） Maximum Torque [Nm] 1809.20 Continuous Load Torque [Nm] 797.35 Maximum Angular Velocity [deg/s] 53.98 Joint2（Small arm） Maximum Torque [Nm] 0.49 Continuous Load Torque [Nm] 0.32 Maximum Angular Velocity [deg/s] 54.00 Joint 3（Grasping） Maximum Torque [Nm] 1.23 Continuous Load Torque [Nm] 0.59 Maximum Angular Velocity [deg/s] 297.61 Joint 4（Paw） Maximum Torque [Nm] 10.13 Continuous Load Torque [Nm] 8.06 Maximum Angular Velocity [deg/s] 108.00 The selection of the Servo Motor [5].
And assume that reduction ratio is respectively,,,.
And then the paper uses the related data to finish the determination of the motors, which provides a reliable and scientific basis for the development of the control system.

Small scale experiments involving blocks with different shapes impacting a small-scale embankment were conducted to provide data for calibrating the models.
Finally, a local reduction α of the slope angle is introduced in the model.
The model parameters (M0.5, rt, φ) were calibrated for the small-scale experiments using the experimental data concerning the sphere, which shape is associated α=0°.
Contrarily to the calibration of the probabilistic model, the choice was made to calibrate all the model parameters using the experimental data for the sphere first.
The input data for the simulations are the horizontal, vertical, rotational velocities and the coordinates of the block at this first impact.

The modified simulation method was applied in Jiangsu Caoshe oil field and the simulation results coincided with the measuring data well.
The data shows that when the inlet pressure difference is 5MPa, the outlets rise to 6MPa-7MPa.
There are also differences in wear resistance coefficient and viscidity showed in figure 5, 6. 3.2 The impact of injection time (IT) on heat transfer Heat transfer from cement into stratum is unsteady, the temperature difference between them decreases with time, which leads to the reduction of force of heat transfer, thus, the heat transfer between cement and stratum decreases.
Jiangsu Caoshe Oilfield No.8th Wellbore Structure Parameters & Physical Properties of the Earth and CO2 Parameters Data Parameters Data Depth[m] 3100 Geothermal gradient[K/m] 0.03 Tubing ID[mm] 62 Thermal conductivity of the stratum[W/(m•K)] 2.09 Tubing OD[mm] 73 Diffusion coefficient of the starum[m2/s] 0.0037 Casing ID[mm] 124.37 Initial temperature of CO2[K] 293.15 Casing OD[mm] 137 Initial pressure of CO2 [Mpa] 30 Cement outer diameter[mm] 215.9 CO2 Mass flow[t/d] 21.17 Thermal conductivity of cement [W/(m•K)] 0.52 Injecting time[d] 26.58 Surface temperature[K] 288.15 4.2 Heat transfer model validation in CO2 injection wellbore 4.2.1 Validation of Wellbore temperature distribution Figure 10 shows the data derived from wellbore temperature distribution measured in Caoshe NO.8th Oilfield and the stratum temperature of simulation results come from the model.
But the simulation result is larger than the measured data.

Ecological and economic evaluation of straw bale construction was carried out with reference to the data from the literature.
The straw bale technology allows a reduction of the construction costs mainly due to the possibility of a relatively high self built potential.
The selected climatic data are chosen on the safe side and are very critical to ensure the maximum possible temperature and humidity loading on the structure.

The microstructure of Ti-7Al-1Mo revealed a lamellar structure with alpha (α) phase and minor beta (β) phase with visible grain boundaries, while TiN reinforced Ti-7Al-1Mo composite microstructure shows a bimodal structure with reduction in the lamellar structure.
Romero et al. [13] reinforced Ti matrix with varying wt.% of TiN using powder metallurgy approach, Falodun et al. [12] studied the effect of TiN ceramic addition on the microstructure and wear properties of spark plasma sintered Ti-6Al-4V, and Kgoete et al. presented the data on the effect of TiN addition to Ti-6Al-4V sintered via SPS.
PW1710 Philips X-ray diffractometer (Cu_Kα radiation, λ=0.154 nm, 2θ range = 20-100°, at 45kV/25 mA, count time = 1 s for 0.0167° step) was employed for the phase identification while the raw data generated was extracted and analyzed using X’pert HighScore software. 5mm × 5 mm × 10mm (length × width × height) dimensioned sample was cut out of the sintered sample for the compression test using Instron-1175 mechanical testing machine at room temperature.
The height reduction was set at a maximum of 55 %.

Empirical and experimental data have been testified that this method is not only practicable but also has high precision and practicability.
Search space reduction in the edge based stereo correspondence[J].