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The hardware is composed of AC constant current source, reference signal source, low noise amplifier, data acquisition card, computer etc.; The software consists of man-machine interface program, measure and control program and data processing program.
The concept of virtual instrumentation is first proposed by the United States National Instruments (NI), same as traditional instruments, it can be divided into data acquisition, data analysis and processing, and display the results of the three major functional blocks.
Data acquisition card.
Final the waveform data is given in the form of clusters，including the start time t0, the sampling interval dt and array constituted by sampled data.
The data of processing and calculation is displayed through the display section.

Results of calorimetric data were calculated by applied software METTLER Graph Ware TA72 PS. 5.
The data are summarized in Table 1.
Table 1 DSC data of the 2nd heating scan of the synthesized LCC and the commercial analogue LCC Tgt [°C] Ton [°C] Tmax [°C] Toff [°C] ΔH [J/g] PET 40/ ABA 60 60.0 172.9 204.5 228.2 3.24 rPET40/ ABA 60 62.4 155.9 198.5 229.4 6.24 Characterization of rPET/LCC blends.
As known, main reason for effective reduction of viscosities, and hence, facilitated processing, is existence of LCP inclusions in the nematic state with a critical concentration globally oriented in the flow direction [7].
Chai, Flow induced chain alignment and disentanglement as the viscosity reduction mechanism within TLCP/HDPE blends, Polymer 42 (2001) 7847-7856

When indentation test is carried out with a penetration rate of 1.7 x 10 -3 mm s-1 or lower, it is possible to compare directly indentation data with those of tensile tests made with a strain rate of 10-3 s-1; in these conditions the yield stress σy ≅ pY/3.
The relationship has been verified for a lot of pure metals, alloys and composite materials; the relative difference, ∆ = (σY − pY/3) / σY , between pY/3 values coming from indentation curves and σY values from tensile tests does not exceed 7% , i.e. it is similar to data scattering observed in different tensile tests on the same material [14].
However, for the treatment times considered here, such reduction is very small.
Data of fatigue tests on the composite in as-fabricated condition and heat treated for 100 and 1,000 hours at 600 °C.
Fatigue data and interpolation curve. 3,0 3,6 4,2 4,8 5,4 6,0 0,001 0,002 0,003 0,004 0,005 0,006 600°C, 1000 hours 600°C, 100 hours As - fabricated εεεεmax Log(Nf) Conclusions The main results can be summarized as follows. 1 - FIMEC tests show that yield stress of the composite is always higher than that of the matrix alloy even if the difference becomes progressively smaller as temperature increases.

To meet the stringent emissions regulations, diesel engines must have a significant reduction in NOx emissions[1-3] .
In the range of 80~120kg/h of gas path flow, when volatility increases by 0.8 to 1.2mm, the reduced amount of gas line outlet temperature increases from 5.0 ℃ to 7.2 ℃, volatility increased to 1.6 by the 1.2mm, the reduction of the amount of gas line outlet temperature increased to be 2.9 to 4.5 ℃.Within 80~120kg/h of gas path flow range, when volatility increases by0.8mm to 1.2mm, the increasing loss of a large number of gas line pressure is reduced to39.7% from the 37.5% increase wave away from the 1.2mm to 1.6 mm, the increase in gas line pressure loss by a 23.4% increase to a large number of 23.6%.
When the parameters are stable，measurement can be realized through the computer, data acquisition, data processing and results demonstrate.
The principle of the test system is shown in Figure 6. 1.Combustion furnace 2.combustorcasing 3.bypass solenoid valve 4.manual shut-off valve 5.electric heater6.electromagnetic regulator 7.thermal gas mass flow meter 8.differential pressure transmitter 9.pressure transmitter 10.differential pressure transmitter 11,12,13,14,23.temperature sensor 15.cooling water thermostat system 16,17.pressure sensor 18.manual shut-off valve 19.fuel tank20.EGR cooler 21.PLC and data acquisition system 22.solenoid valve 24.water flow meter Fig.6.
Simulation results of the EGR cooler (K) (L/min) (K) (bar) (kg/h) (bar) (kPa) (kPa) (K) 368 20 836 2.1 91 1.6 20 10 472 368 25 836 2.1 90 1.6 20 14 468 368 30 836 2.1 90 1.6 20 19 463 368 35 836 2.1 90 1.6 20 28 461 According to Table 1 and Table2, the critical data, EGR outlet gas temperature, the overall heat transfer coefficient and coolant flow curve are plotted into figure 7.

Scheme of the researched territory and location of GCP and Check points Experimental design and data collection.
Data processing and statistical analysis.
Photogrammetric processing: All data is processed in Agisoft Metashape Professional v2.1.3 with identical parameters: High quality alignment (50,000 key points, 5,000 tie points), dense cloud High quality with moderate depth filtering, DEM 6.45 cm/pixel, orthophotomap in tiled mode [10, 11].
Successful image alignment was achieved for 100% of the shots in all projects, which confirms the adequacy of the shooting parameters and the quality of the output data (Table 1) [9].
RTK technology without ground control points provides an 84% reduction in operating costs compared to traditional methods while improving accuracy by 3.3 times.

Data Pre-processing.
However, the raw data sequence may every so often differ from the others in terms of the range and unit, as a result, it brings about the incomparable condition during grey relational analysis.
Based on the above reason, ahead of implementing the present analysis, data pre-processing of transferring the original sequence to a comparable one is required [6].
In this study, the raw data were transformed into dimensionless forms by initial-value pre-processing.
As there are too many relational coefficients to be compared directly, further data reduction makes use of average-value processing to convert each sequence into its mean.

PCA is based on an orthogonal decomposition of the covariance matrix of the variables along directions that explain the maximum variation of the data.
The main purpose of using PCA is to find factors that have a much lower dimension than the original data set, which can properly describe the major features in the original data set.
Principal Component Analysis PCA is a linear dimensionality reduction technique, optimal in terms of capturing the major information of the data [3].
Then, construct the OAOSVMs using fault features data set.
The sampled data are preprocessed by PCA for feature extraction.

As a result, the path optimization of laser group holes is a key problem, and the path optimization of the CNC drilling process can lead to reduction in machining time, which greatly enhances productivity of machining system for the modern manufacturing technology [5].
Assuming that the number of all holes is n for the same diameter, the number of sub regions is k, and U is the total data set, implementation processing of the presented path optimization based on clustering ant colony algorithm is as follows: (1) Divide sub regions by the improved k-means clustering method.
Therefore, sub regions are divided by using the improved k-means clustering algorithm, and the general steps of the improved k-means clustering algorithm are as follows: 1) Calculate the distance d (x,y) between the arbitrary two data objects, which can be written as follows: (3) where the data object ,and . 2) Determine the data object of the shortest distance in the total data set U, which constructs the set Im and removes the two objects from the total data set U, where . 3) Repeat step 2).
When the number of Im is greater than or equal to n/k, the cycle is ended. 4) K data objects of the set Im are respectively calculated by arithmetic average, thereby k initial clustering centers are constructed. 5) According to the nearest neighboring principle, the remaining other data objects are assigned to k clustering. 6) Each new clustering data object is calculated by arithmetic average, and k new clustering centers are obtained. 7) According to the nearest neighboring principle, objects are assigned to its nearest clustering. 8) Repeat step 6) and 7), according to Eq. (4), the cycle is ended

Solar trackers currently in use can be divided into two types: data/time based type and photoelectric tracking type [2].
A Data/time based solar tracker calculates the position of the sun by solving a set of complex equations according to geography.
Data is transmitted to the CPU via I2C bus.
The precision feedback system reads data out of the light intensity sensor, the actuator rotates then.
The tracker reads data again to check whether the sun is well tracked.

For simplicity, iterative times or continuously without optimization iterations (Iteration_number) can be used as the end of the iteration process. 3.3 AIA-CARP algorithm processes and steps The algorithm process is shown in Fig.2. 4 experiment results and analysis Artificial Immune Algorithm proposed in this paper was used to test the data set in the literature [4].
Based on the data of different scales, the algorithm test results are shown in table 1: Table 1 CARP experiment data Experiment data set Vehicle number results （km） Runtime(s) Data set Data size Node in test 5t 8t 10t Data1 9vertex10arc 1,2,4,5,6,7,8,25,29 1 1 1 19.597 4 Data2 16vertex18arc 1,2,4,5,6,7,8,9,20,23,24,25,26,29,36,37 2 2 1 32.043 9 Data3 21vertex27arc 1,2,4,5,6,7,8,9,10, 14,17,27,21,20,23, 24,25,26,29,36,37 2 2 2 49.310 25 Data4 37vertex51arc Full graph 2 3 3 67.391 202 Testing results show that, base on different sets of data, all the total travelling mileage have different degrees of reduction.
Acknowledgments This work was supported in part by “Data Structure and Algorithm” project, included in the national bilingual education model curriculum in 2009, in part by Chongqing application technology research projects (cstc2011pt-gc70007, cstc2012gg-yyjs40019 ), in part by Chongqing municipal education commission research projects ( kjzh11221), in part by Research Project of Chongqing University of Science and Technology (CK2013B15), in part by Teaching & Research Program of Chongqing Education Committee (KJ131401), in part by Natural Science Foundation Project of CQ CSTC (cstc2012jjA90011).