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The results show a good ability of the model to fit the measured data.
Initially, the modeling approach is based on empirical relationships usually elaborate on experimental data in order to identify any significant correlation between the subsurface outflow and the rainfall depth and duration [10].
In all distributions the modeled data are close to the observed data.
Thetemporal distribution obtained for observed and modeled data is fairly close.
In particular, the results showed that the model over-estimated the initial runoff with respect to observed data.

Monitoring the forces from each direction, the degree of indirect response to the collision, returning feedback to the docking platform after measurement data is analyzed, and amending the docking trajectory of the BLRU in time can achieve the light collision docking during the full process of BLRU.
It also detects the key parameters of the offline assembly and calibration and then transfers them to online assembly and calibration of the BLRU, which is the space docking process and achieves the online reduction of the key parameters of assembly and calibration.
And then the precise positioning monitoring system on the top of the clean canister is turned on to capture BLRU postures and the related positioning relation of the long rail in the little clean cars and then transfer the data to the docking platform.
After the data is added, the deformation x of the sensor which is also the voltage signal output from the pressure measurement sensor can truly reflect the collision force.
The test data of the force direction from the X-axis direction is shown in Table 1.

This work reviews and critically discusses data of mechanical properties reported in literature.
Analysis of literature data shows that E value strongly depends on the position.
In general these data are affected by a strong scattering.
Literature data are reported in Table 7.
Table 9 resumes literature data.

· material data for accurate modelling as flow-curves at high strain rates and high strains, appropriate parameters for damage modelling, etc. is hardly available.
In most cases, a numerical electromagnetic simulation will be required for this purpose and the inductor current, which is a priori not known, might be necessary input data.
Here, the according workpiece deformation is analyzed and serves as input data for an updated calculation of electromagnetic model.
Since the inductor current is a priori not known, LS-DYNA R7 includes the possibility of using the electrical voltage and the characteristics of the pulsed power generator as alternative input data.
A capacitor charging voltage of 16 kV was chosen as input data according to the results of the preliminary design step.

First, select sample cities and process data.
Third, if the correlation of indexes is significant, use the factor analysis to make a data reduction and reduce the errors of inputs for the regression model.
All the data in this study were obtained from the national and municipal statistical yearbooks.
China’s urbanization levels: reconstructing comparable time-series data based on the fifth population census.
Modeling the drivers of urban land use change in the Pearl River delta, China: integrating remote sensing with socioeconomic data.

And the depletion of fossil fuels is primarily the reduction of its function or fuel energy content.
Calculation of Characterization Factors of Resource Depletion The annual production of non-ferrous metal resources, mining loss rate, recovery rates and overall recovery of data from the China nonferrous metals industry yearbook [16], which is the amount of annual data of minerals and metals (recycled metal production is not within the scope of the calculation) .
Because of the economic fluctuations, if the exploitation data of a specific year was used as a calculation base, the uncertainty of the characterization factors will be increased.
As a consequence, the average exploitation data (2007-2012) was employed as the base for determining the characterization factors of 2012, through which the temporal uncertainty can be reduced.
The average production data of the annual resources come from 2007 to 2012

Early detection by a highly reliable classification of skin lesion causes a great reduction in the mortality rate.
The second is fine-tuning which is based on replacing the last fully connected layer to the new classes and retrain the whole CNN using data based on the new modification.
The segmented lesions are classified into their corresponding classes using CNN. 70% of the total data set is for training the network and the rest data is for test purposes.
"A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data." 
A multicentre study for collection and computer‐aided analysis of data from pigmented skin lesions using digital dermoscopy." 

The authors calibrated the model using tensile data obtained testing the material along the RD for a wide range of temperatures and strain rates.
The fitting procedure is performed for every image, i.e., time step, and for all the data points located within ±20 mm with respect to the sample apex.
Discussion The results of the tensile experiments, i.e., normalized stresses and r-values, at quasi-static loading conditions are in agreement with the data reported in [3].
On the other hand, global experimental data from the HSB test, such as pressure evolution, displacement and strain fields at the sample surface, can be used for the validation of strain rate dependent, anisotropic models.
The experimental data available from the HSB test can be used for the calibration of anisotropic, strain rate dependent models, as well as for validation purposes.

The edge effects are minimized by using an appropriate design of the substrates so that experimental results give reliable data.
fIaw=321.4aw4-458.4aw3+231.3aw2-43.43aw+3.236,R2=0.999 (5) fIIaw=-17.47aw4+39.04aw3-24.39aw2+6.94aw-0.017,R2=0.998 (6) The total strain energy release rate (GT) decreases rapidly for loading angles close to pure mode-II loading with the reduction of opening-mode strain energy release rate.
Average critical mixed-mode-Interlaminar fracture toughness for twill PAN based Carbon/Epoxy composite for a/w=0.5 Loading Angle 0° 15° 30° 45° 60° 75° 90° KIC[MPa.m0.5] 2.583 2.572 2.51 2.472 2.41 2.379 --- KIIC[MPa.m0.5] --- 0.319 0.6899 1.1909 2.029 4.3366 5.876 The calculated critical interlaminar strain energy release rate values GIC and GIIC using experimental data under various loading conditions are summarized in Table 3.

After the end of tests, a signal of readiness to initiate the drive will be generated; · data collection and recording in real-time after the drive starts its operation (with the rotating shaft), comprising: the start-up, the shut-down, operation at the nominal rotational frequency and operation in the "overspeed” mode; · “on-line” recording and control of parameters of the system operation during each phase and a selection and reduction of saved data files in the non-volatile memory that concern mainly untypical behaviors of the system; signaling and generating different level alarms in cases of exceeding data limit critical values for the operation of the power transmission system or the bearing system.
For the negative result of Self-diagnostic, the data are automatically saved to a file in xlt format called errors-date_time.
It can be read using the command Load the data and can analyzed the data according to the options in the selection field Analysis [1,2,3] a) b) Fig. 5.
They are at that time available off-line to the user using the option Load data.
Data files are automatically saved and can be analyzed off-line using the Analysis package – fig.7.