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Empirical mode decomposition (EMD), which is the core mechanic of the Hilbert-Huang transform(HHT), is a local, fully data driven and self-adaptive analysis approach.
Dynamic simulation data shows that the IMF differences between fault current and inrush are obvious, and can be used to identify inrush simply and practically.
After finding the extreme point of x(t), all maximum points and minimum points are connected with a curve that include all signal data to obtain the up and down envelope lines of x(t).
In addition, when the amplitude of differential current inside the data window is not more than the biggest unbalance current, Kmax is 0.
In the first 20ms, because the data is not enough to be a data window, there is no output.

Operating voltage of this sensor is 3v to 5v and it only use 2.5mA current during conversion data.
The GSM shield has a modem that transfers data from a serial port to the GSM network.
A graphical data was collected timing from 9.00am to 4.00pm.
Thus, based on the two data collected, the change in temperature was focused throughout the project.
Three sensors’ data in various time for Cloudy day and Sunny day.

A dimension reduction through principal component analysis of the feature data of all groups was performed.
This paper expands on previous work using Principal component analysis (PCA) of feature data [1,2].
PCA is a method used to simplify high order data sets to lower dimensions to allow a simple analysis.
It is performed by taking a rotation of the data around two orthogonal vectors which describe the largest amount of variance in the data.
The result of the PCA showing the greatest variance in the data is shown in Fig. 5 (The plot has negative axis as standard-normalised mean subtracted data is used).

This is verified by the experimental data as shown in Fig. 3.
It is compared to the data obtained from the sealing experiments, as shown in Fig. 6.
Therefore, considering the data scatter, the calculated gasket stress generally corresponds well with the testing data.
Fig. 7 Leakage rate comparison between the experimental data and the theoretical value The data, such as the gasket dimension, total bolt force and internal pressure are inserted into equation (7), and then the theoretical value of the mass leakage rate can be obtained.
It is compared to the data obtained from the sealing experiments, as shown in Fig. 7.

The results are compared with data, received by finite element method.
Structural weight reduction can be achieved only with the further refinement and the development of structure analysis methods, including buckling analysis methods.
Table 1 The critical stresses , [MPa] section angle z-shaped channel 1 28.6 (28.0) 34.3 (31.7) 32.2 (33.1) 2 28.6 (28.3) 34.0 (32.6) 32.2 (34.5) 3 28.6 (28.4) 34.3 (32.9) 32.2 (34.9) 4 20.5 (20.4) 32.2 (33.0) 32.2 (34.4) 5 14.0 (14.0) 24.3 (24.2) 24.3 (24.5) Conclusion As it is seen, the data obtained using the proposed in the work method and the data obtained by the finite element method are in good agreement.

Titles of the group of records ERI AIS Logbook SRB 1 vessel identification data set X X X X 2 voyage data X X X X 3 information on dangerous goods X X X 4 dynamic information X 5 dimensions of the ship X X 6 data on the position of AIS antenna X 7 dimensions of the ship X X 8 displacement X X 9 AIS and radar auxiliary information X 10 messages transmitted by AIS X 11 general data on ship X X 12 record data on owners, charters, operators X X 13 data on the sizes of the vessel or convoy X X 14 data on tonnage X X 15 data on Engines and Hull X 16 data on goods X X 17 data on the crew and passengers – crew and passenger list X X X 18 name of the commander and number of crew and passengers X X 19 additional data on class/ice X 20 data on voyage incidents X X X 21 data on voyage diary X X X 22 data on the navigation time X X 23 data on the watchman X X 24 modality of ship operation X X 25 working and rest time X X 26 data on the operation of engines
consumptions - - - - 27 data on the engine emissions - - - - We note that AIS data covers almost all groups of records, except the data on crew found in ERI, in the Logbook and in the Service book of each crew member separately.
For automatic calculation of training time, is necessary to combine data from position 17, data on crew-crew list with common data at position 2, voyage dates, and with those specific to AIS from position 4, dynamic information, navigation time.
We also note the repetition of data differently for each type of record.
Thus the identification data of the vessel are default: vessel name, the single European – ENI and MMSI code are common data for each group of records.

Table 1 Coefficients obtained by fitting function described by Eq. 1 to evolution of drop radius experimental data from Figure 2 CYTOP TEFLON ro [mm] a [mm] τ [s] ro [mm] a [mm] τ [s] 0.025 wt % 2.023 0.747 2.52 1.652 0.514 1.12 0.0625 wt % 2.001 0.649 1.14 1.643 0.434 0.54 0.125 wt % 2.005 0.582 0.42 1.678 0.421 0.46 Although the final drop radius was the same for all investigated solutions (Figure 2), coefficient a was found to decrease with increasing concentration.
This is in agreement with coefficients values obtained by fitting exponential function to our experimental data (Table 1).
Table 2 Coefficients obtained by fitting exponential function described by Eq. 2 to evolution of contact angle experimental data from Figure 3 CYTOP TEFLON θo [°] a [°] τ [s] θo [°] a [°] τ [s] 0.025 wt % 30.65 34.16 2.05 52.12 21.24 1.14 0.0625 wt % 30.27 30.17 1.09 52.51 20.74 0.63 0.125 wt % 30.39 27.15 0.35 52.10 18.02 0.52 The values of τ were also found to decrease with the surfactant concentration (Table 1).
More prominent reduction of τ values was noticed during wetting on Cytop, compared to that on Teflon.
Same trends were observed in reduction of the contact angle with time (Figure 3).

At that, the estimate of treatment efficiency should take into account not only the fact of BP reduction, but also the effect of treatment on cerebral hemodynamics.
Statistical processing of the obtained data was carried out using software package STATISTICA.
Rodriguez et al. [13] in patients with DM, one could also observe the cerebrovascular regulation disorders, manifested by a reduction of cerebral blood flow adequate response to appropriate stimuli.
In the literature there are only few data on the effect of therapy by b-blockers on cerebral microcirculation at AH [17], and they are quite ambiguous.
Conclusion According to the data on 99mTc-HMPAO brain SPECT, it has been shown that in patients with AH in combination with type 2 DM the signs of brain hypoperfusion and reduced cerebrovascular reserve are identified even in the absence of focal neurological symptoms.

The apparent creep activation energies Qc in the temperature range 398-473 K obtained for nanostructured nickel (115±15 kJ/mol) correlated with the available data on the activation energy of the GB diffusion of coarse grained nickel (Qb=115 kJ/mol [7]).
It is assumed that the observed reduction in the apparent creep activation energy of nanostructured nickel in comparison to the coarse grained nickel is due to an increased contribution of the grain boundary sliding into overall deformation.
The reduction of creep resistance of nanostructured Ni was found to take place in the case of diffusional contact with Cu in the temperature range of 398-448 K.
The effective coefficient of grain boundary diffusion calculated using experimental data is in a good agreement with the values for Al self- and Mg heterodiffusion along the Al grain boundaries.
Of coarse, our scatter is large, and it is large also for other data obtained in the direct diffusion investigations too.

To analyse qualitatively, the data were grouped into categories: 10%≥S>20%; 20%≥SI>30%; 30%≥SI>40% and 40%≥SI>50%.
This analysis becomes more evident when the data are represented by concrete type (Figure 3a) and it is verified that the correlations of LTWAC1 and LTWAC2, which has presented SI lower than 30%, are not good: 0,0742 and 0,0392, respectively.
In the same way, this analysis becomes more evident when the data are represented by concrete type (Figure 3b) and it is verified that the correlations of LTWAC1 and LTWAC2, which has presented SIs lower than 25%, are very poor: 0,0003 and 0,0167, respectively.
The volumetric fraction of aggregates – related to the theoretical densities in this paper - also affected the reduction of compressive strength due segregation.
Concretes manufactured in one layer, and with density of 1700 kg/m3 presented higher reductions of compressive strength due segregation than concretes with theoretical densities of 1900 kg/m3 (one layer).