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Experimental evaluations using scan data or noise data demonstrate the efficiency of the proposed method.
First a triangular mesh is created which reflects the basic topology of the final model and remains a preferred representation for surface data because of its ability to approximated complex shapes and visualization efficiency.
Given n data points, = 1,…,on a d-dimensional space,the multivariate kernel density estimate obtained with kernel functionand bandwidth h is
When the weight of the smallest edge is larger than a given threshold, this graph reduction ends.
(b) Pocket The noise contaminated in the data may come from measurement and form error.

The outcomes agree well with the in-situ observation data and the indoor experiment data, which verifies the feasibility of modeling the sinking process of open caissons using PFC and further studying their soil-structure interaction mechanisms from the microscopic prospect.
At present, the working conditions of open caissons are usually studied with semi-empirical theoretical analytical method, in-situ observation data analysis, indoor model test, and numerical simulation, and the sidewall pressure is important to open caisson design and is of interest to the geotechnical engineering community.
It can be seen that sidewall pressure firstly increases almost linearly, then fluctuates in a certain range of depth, after that it starts to decrease gradually with the reduction of sidewall elevation.
The above characteristics agree well with the in-site observation data [7-8].
(2) The variations of the side pressure of the PFC simulation agree well with the in situ observation data and indoor experiment data, which indicate that PFC can offer a new approach to further study the interaction mechanism between open caisson and soils from the microscopic prospect.

A moderate amount of Bi element resulted in the microstructural refinement and melting temperature reduction of Sn-0.2Ag-0.7Cu solder.
Each datum represents an average of at least five measurements.
It is known that the addition of Bi leads to the reduction of solidification temperature and compositional super-cooling [6], and influences the growth behavior of Cu6Sn5.
As shown in Fig. 4 and Table 1, all of TS, TL and the peak temperature has been decreasing with the increment of Bi, indicating that the addition of Bi plays a positive role in the reduction of melting temperature.

With the data obtained from these tests and in order to analyze the results obtained from the models, a methodology based on four points is proposed: First, the uncertainty of the dataset obtained from the DoE is analyzed in order to evaluate to which degree the experimental data define the problem.
Third, the accuracy of the generated models is checked using an additional — previously unused — set of data.
Finally, the best models obtained for each machine learning technique are tested and compared to actual data to assess the accuracy are the models.
Prior to generating the regression models, the data obtained from the DoE was normalized between 0 and 1 to improve the quality of these models.
Hall, Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, Elsevier Inc, 2011.

Data was analyzed by using Spss data processing software, and the correlation coefficient matrix between the feeling of wearing Introduction As the knitted fabric has good elasticity and extensibility, the kinds of fabric has been used for more and more types of tight and sports garment.
Physiological data were measured including height, thigh, waist and hip circumferences, knee circumference.
The physiological data are shown in table 2.
After the wearing state, according to table 3, tester assessed the clothing pressure comfort and other related feeling in the range of values within 1-5, and the corresponding records were made by the experimenter in the wearing pressure comfort subjective assessment questionnaire calculated subjective evaluation data of each wearer, and a total of 80 group wearing sensation value were achieved. data was analyzed by using Spss data processing software, and the correlation coefficient matrix between the feeling of wearing sstretch pants were obtained.
Results and discussion After the subjective evaluation experiment ended, we The correlation coefficient is a quantity to show how close the relationship is between two experimental data, usually represented by the letter R.

Data on the mechanical properties of masonry walls from the materials used in Montenegro are scarce.
Some of them were testing in-situ and data of the mechanical characteristics of the stone walls were published.
There is no published data about mechanical characteristics masonry walls made of clay brick block or concrete block from the Montenegro researchers.
Method of processing data obtained by the experiment is defined by the standard.
Appreciation Implementation of the project SROKO "Seismic risk reduction for buildings of stone and brick" is held under the auspices of the Ministry of Science of Montenegro.

The operating principle of this gasifier where the biomass and air are fed from the top, which are first introduced into the drying zone, followed by the pyrolysis, oxidation and reduction zones, and finally the product gas is drawn out from the bottom, through the reduction zone.
Since the product gas is traveled through the high temperature oxidation zone and finally through the reduction zone, almost all of the organic vapors (tars) are consumed to form gas, and thus the gas is quite clean compared to the updraft gasifier.
All the input data used in each stage of processes were reviewed from secondary data such as biomass review journals and experimental data or any archival results from assessments.
Cost Analysis Data The cost analysis can be started after the data of the process is collected such as basis, transportation mileage, equipment used and others.

According to the manufacturer data, the Mg powder has the following characteristics: 98.5% purity, particle size ≤0.1 mm, melting point 651oC and density 1.75 g/cm3, while the B powder is of 99% purity, with a particle size ≤2 μm, melting point 2550oC and density 1.73 g/cm3.
In order to calibrate the cap model, data from axial compression, radial compression and triaxial compression tests have to be utilised.
The model was fitted to the experimental data of Ref. [4] for the MgB2 powder and to those of Ref. [5] for the Mg and B powder mixtures, see Figs. 3(a) and (b).
Cap model data for the MgO filler can be found in Ref. [3].
All material model data are summarised in Table 1.

The data were collected from 20° to 90° in 2θ scale with a scan rate of 2° min−1.
Accordingly, the BET data shown here correspond to the annealed samples.
XAS Measurements and Data Analysis.
The control of parameters for EXAFS measurements, data collection modes, and calculation of errors were all done as per the guidelines set by the International XAFS Society Standards and Criteria Committee [22, 23].
In case, the particle sizes of PtRu/Ti0.7Mo0.3O2 and PtRu/C (JM) were similar (data not show here).

Changing to this technology, other advantages were possible as the reduction in the number or parts (rivets and other fasteners to join the stiffeners to the skin), an expected reduction in the maintenance costs in 30%, the increase of the passenger comfort and leaner manufacturing processes, [10].
From these data it is concluded that the structural design can be done for a pre-estimated number of cycles, depending on the design goal of the aircraft and its maintenance procedures.
For the credible impact energy level used in the certification of composite components, 50J, experimental data [18], shows that the damage area is approximately 3000mm2.
The adoption of new materials in aeronautical primary structures can lead to higher structural efficiency in terms of weight and cost reduction.
Taking into account the assumptions presented, with CFRP a reduction in weight is achieved, of varying magnitude depending on the design goal (number of cycles) and maintenance procedures.