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The experimental data are compared with previous data in the literature to be validated.
The COP and efficiency of this system has been evaluated and compared with data available in the literature.
Fig. 11 shows the validation of the experimental data with the data of [17] and [18].
Experimental data validation.
The experimental data have been validated with other previous data and it is indicated a good agreement with deviation not more than 5%.

A part of the data is used to calibrate the model.
The remaining data are used for validation.
Collected available data Different datasets were acquired and then used for modal identification.
These sets of data are subdivided into two groups: in the first group, one relies on 6 sets obtained under weak wind condition; in the second group, the remaining 4 sets of data collected under typhoon conditions are given, as reported in Table 1.
An additional set of data called “blind dataset”, because the excitation condition is unknown, is also available.

In this study the reduction of the DOF is also analyzed for various legs added between the moving platform and the ground.
Table 1: Assigned data for three poses translation Rotation (deg) No X Y Z X Y Z 1 -1.00 5.00 3.00 5 -20 -95 2 -3.00 6.00 3.00 20 -15 -105 3 -4.00 6.00 3.00 30 -5 -110 Table 2: Coordinates for Three Points at Assigned Poses Pose 1 Pose 2 Pose 3 D (3.5503, 5.8604, 9.3682) (-0.2016, 6.2191, 10.3567) (-2.8614, 5.2393, 10.7540) E (-0.5611, 2.5865, 8.1944) (-4.1391, 3.4040, 7.9963) (-6.3103, 2.9680, 7.2976) F (-0.2906, 6.6780, 7.7625) (-3.4065, 7.4595, 7.8687) (-5.3915, 6.9544, 7.8117) The design of the S-R leg begins with freely assigning the pivot on the moving platform at :(0, 0, -1).
The data for the other solution are : (0.4411, -2.0387, -0.5050), :(0.9814, -0.1543, -0.1146) and =7.4256.

Application of heat pump technology is a effective way to achieve energy saving and emission reduction.In order to propose the heat pump system suitable for marine air conditioning,this paper takes a bulk carrier as the research object,calculates the annual dynamic cool and heat loads of ship,proposes five kinds of cold and heat source optional schemes and selects the equipments.On this basis,five optional schemes are evaluated by using the method of AHP from the following aspects:economic, energy consumption, environment, weight and size.The result shows that comprehensive properties of adopting double stage coupling water source heat pump in ship are better than other schemes.
BIN method is a simplified energy consumption calculation method proposed by ASHRAE[4].According to the local meteorological parameters,we divide the outdoor dry bulb temperature at regular intervals,and add up the time the temperature interval typically occurs during the year or a period of time.In this paper, according to hourly weather data provided by Weather Tool software,2 °C temperature difference as a temperature interval,we average the BIN meteorological parameters of Tianjin and Dalian as BIN meteorological parameters of the ship,as shown in Table 1.
[6] L.O.Degelman,P.E.Bin Weather Data for Simplified Energy Calculations and Variable Base Degree-Day Information.ASHRAE Transactions.1985,91(1):3-13

The communication protocol of RS232 interface has one start bit (0), 8-bit data (LSB first), 1 stop bit (1), and has no parity, 4800 baud rate.
A real-time resistance collection program was developed by using visual C++ programming language, which can be used to receive the data from the SD2002/5 constantly, and the data were finally stored in computer in text format.
Fig. 3 represents the data of piezoresistivity of MRE with different nickel content proportions (the weight fraction of nickel are 60%, 50%, 40%).
Fig. 4 shows the data of piezoresistivity of MRE with the same proportion (the weight proportion of nickel and iron are both 60%) but different soft magnetic materials.
Fig. 5 shows the data of magnetoresistivity of MRE.

Data processing.
The test data using SPSS13.0 data analysis software to carry on the regression analysis, and the analysis method to analyze the interaction between two factors in response to Matlab7.0.
According to the test arrangement and test data, using the two orthogonal revolving combination design, the equation variables to values, calculated by regression equation: (1) The equation (1) variance analysis of regression equation results as shown in Table 3.
The importance of factors analysis method for processing data [5], influence factor contribution rate were four factors, X1((NH4) 2SO4) =1.73, X2(KH2PO4) =1.72, X3 (MgSO4, 7H2O) =1.09, and X4 (CaCl2) =0.89, the degree of influence from large to small the sequence is: X1, X3, X2, X4.
Based on the analysis of test results, the regression equation is found between the ethanol yield and four kinds of nutrients, through the analysis of interaction of dimension reduction analysis of regression equation and double factors, discussed the different nutrient level scope in alcohol fermentation.

Fig. 1: (a) Extracted oxide thicknesses from the CV data and comparison with XRR data.
A systematic overestimation of dOx from the CV data is consistent with what was found in Ref. [6] and indicates a lower real effective oxide dielectric constant of εr,eff ~3.66.
We also fitted both data using the Deal-Grove model, obtaining the following fitted parameters (CV: B = 58.8 nm2/hr, B/A = 3.72 nm/hr; XRR: B = 54.3 nm2/hr, B/A = 3.69 nm/hr) for the CV and XRR data, respectively.
Fig. 3: (a) Gp-V data at 1MHz.
(b) Density of interface state traps extracted from Gp-V data.

Introduction Relative to the satellites and manned aircraft, the biggest advantage of UAV is rapid and timely access to data.
It allows fitting of scanned data, filling of surface holes, and remeshing of existing models.
Many implicit surface fitting methods segment the data into regions for local fitting, and further combine these local approximations using blending functions.
In contrast, Poisson reconstruction is a global solution that considers all the data at once, without resorting to heuristic partitioning or blending.
Thus, like radial basis function (RBF) approaches, Poisson reconstruction creates very smooth surfaces that robustly approximate noisy data.

The essence is observing data from different angles and looking for the optimum pursuit method which can reflect the data characteristic at utmost and dig data information sufficiently.
The projection pursuit method is an effective dimensionality reduction technology which is applied to analysis and deal with the higher dimensional, nonlinear and abnormal problems.
In essential, p dimensional data is integrated into as the value in projected direction.
Through solving the maximum value of projection index function, we can obtain the optimal direction of projection, and fully reveal certain structure features of high dimensional data.
Table 1 Network information processing system of the original data Indicators System 1 System 2 System 2 receive the imlet 12 11 10 Coverage/km 600 600 500 Intelligence source dynamic configuration ability 0.6 0.7 0.5 To deal with time delay/s 1 0.5 0.1 Target associated error rate/% 10 6 12 Mobile detection capability 0.7 0.8 0.8 Anti-interference ability 0.8 0.9 0.8 Position prediction error/m 100 90 120 Speed prediction error/% 12 10 8 Heading prediction error/% 10 10 20 Refers to the calibration error/° 0.4 0.3 0.3 The correction precision of site 0.7 0.8 0.8 Output density 26 28 30 Degree of sharing 0.6 0.8 0.7 Take 0.1 density threshold, calculated each evaluation index weight coefficients are shown in table 2.

At present, there were two generally methods of the damage identification of beam, one was using by the inherent frequency and vibration type of structure, but the overall data sometimes was not very sensitive to the damage of structure[1], because injury was a local phenomenon typical; the other was through the evolution of modal strain modal [2,3] to locate the damage, if direct application of the strain mode, the observation of mode orders and freedom degrees requirements were relatively high [4], it was difficult to contact the model and the actual.
So the damage degree can be used to stiffness reduction, such as type: Where is damage degree,is elastic modulus after damage,-no damage modulus. 2．Numerical simulation 2.0 Computational model As shown in Figure 1 for non-prestressed reinforced concrete beam, the length of beam is 10m, the cross-sectional area is, the elastic modulus is 3.0e10Pa, the density is 2500, the Poisson's ratio is 0.2, divided into one thousand elements using by beam3.
Figure 1 2.1 Single point of damage (case 1) Respectively damage in 251st, 501st, 751st element, damage degreeis 0.05, 0.1, 0.15, calculating the first 3 order strain modal data by ANSYS, compare to no damage strain modal data, can be obtained the difference curve of the comparison, as shown in Figure 2. 2.2 Multiple damage (case 2) Respectively damage in 251st, 501st, 751st element, Respective damage degree is 0.05, 0.1, 0.15,calculating the first 3 order strain modal data by ANSYS, compare to no damage strain modal data, can be obtained the difference curve of the comparison, as shown in Figure 3. 2.3 Large area of damage (case 3) Damage in 426st-576st element, damage degree is 0.15 calculating the first 3 order strain modal data by ANSYS.
Comparing to no damage strain modal data, can be obtained the difference curve of the comparison, as shown in Figure 4.