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The model was formed from the molten plastic using the data from the print wizard and control panel software.
The noise reduction resulted to finer and cleaner point cloud for each scan family.
The process of data optimization described was repeated for polygon models imported in PLY format.
A variety of properties can be stored in PLY files including: color and transparency, texture coordinates and data confidence values.
The main target was new data to be produced enabling the materialization of the physical models in parts and not only as an entire model.

Visualisation Data visualisation is commonly used as a means of gaining insight into the underlying structure and relationship of data.
It commonly involves applying computational techniques to data and facilitates for the exploration of, and interaction with, large data sets.
Data visualisation tools come in many forms depending on the desired application.
Just how the beam is loaded in flight was then a question that, without access to the original design data of the aircraft, could only be tackled by examining the available flight test data.
The necessary material input data for FASTRAN were obtained from [4] and [5].

IP-XACT standard provides a well-defined XML schema as meta-data that documents IP blocks and system designs, and defines an interface to make this meta-data directly accessible by automation tools[3].
A design flow for interchanging design components among different SoC design environments is described in[4] [5], which use the IP-XACT meta-data as the medium.
One 8K SRAM is also integrated in this subsystem for buffering several lines of pixel data for video process.
Peripheral Subsystem is composed of all modules for inter-subsystem communication, external memory controller and data transfer interface.
Ethernet MAC and USB Host/Device modules are used to support usual massive data transfer for audio, video and other applications.

(6) 3) h1(t) to determine whether the IMF, if h1(t) do not satisfy the IMF condition, the h1(t)as the original data, repeat steps 1) and 2), until the h1(t) satisfies IMF condition. 
DIAGNOSIS EXAMPLE 3.1The test and data acquisition In a test bench for a diesel engine frame, setting conditions for the crankshaft speed 1900r/min, half. 
Each successive sampling 10 times, a total of 50 data samples. 3.2 feature extraction and selection Each data sample contains 15 working cycle, on the basis of TDC signal interception 5 cycles as a unit of analysis, in which each sample has three units of analysis, and then eliminate the wrong point and eliminate trend for each vibration signal analysis unit.
The sample data of [-1, 1] normalization, suitable for the formation of support vector machine classification of fault data samples, and then select the principal components accounted for 95%, PCA dimensionality reduction preprocessing the dimension of the samples from 6dimensions to 3 dimensions. 
Table 1 shows the normalized training set data (due to limited space, only list for each state of each group of data).

Data Analyses.
Distributions of test-data scatter like each of the fitting functions were studied using the Kolmogorov-Smirnov, K-S, goodness-of-fit, GoF, statistics [7,20-21] and test of significance of differences in test-data between duplicate specimens were studied using the student’s t-test statistics, both at α = 0.05.
The homoscedastic, hom, and heteroscedastic, het, t-tests showed that differences encountered in the HCP data of the 0.0833% duplicates and the HCP data of the 0.3333% duplicates were significant, Fig. 2(b).
Popoola, Probability density fittings of corrosion test-data: Implications on C6H15NO3 effectiveness on concrete steel-rebar corrosion.
Standard guide for applying statistics to analysis of corrosion data, ASTM International West Conshohocken PA

The Raman data were afterwards translated to stress and strain through the aforementioned relevant calibration curves [1].
Then they were unloaded to 0.2% applied strain in order to avoid undesirable crack development and Raman data were collected.
Comparison between experimental Raman data and analytical calculations.
Analytical calculations were used as verification, comparing their predictions on the elastic stress concentration to the experimental Raman data.
This confirmed that LRS is a powerful tool for collecting useful design data for notches in composite materials.

c) Cyber Physical Systems: CPS empowers factual time data access with an improved technological practices implementation.
d) Big Data: Big Data countenances organizations to comprehend opportunities emerging with Industry 4.0.
With the consent of ecological perspective, the technologies of Industry 4.0 also reduces resources and energy consumption through data analysis and monitoring systems across production processes and supply chains that leads to a substantial decline in CO2 emissions and waste by exhausting data aligned carbon footprint analysis .
In addition to these, the technologies of Industry 4.0 also carry various convoluted challenges and societal boundaries such as data complexity, employment reduction, information security issues, poor quality and electronic wastes [21].
-L., et al., Circular economy meets Industry 4.0: Can big data drive industrial symbiosis?

For instance, the monitoring of production process performance data during the use phase, thanks to embedded sensors on the machine, enables to collect a huge amount of data in order to improve both production efficiency and product and service design phase.
Moreover, generated data may assist manufacturers in the optimization of asset management efficiency and in the reduction of their costs through the adoption of predictive maintenance, thus allowing an improvement of after sales service effectiveness.
In addition, companies have to be able to monetize these data [18].
Then, collected information were transcribed and evaluated independently, using company secondary sources to check internal consistency of the data [26].
ACMIT. (2019) [21] Zhong, R.Y., Chen, C., Huang, G.Q., Xu, C.: Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors.

To facilitate data comparison, the sample will be recorded when warp tear extended to the tensile load denoted by the biaxial tensile strength.
The experimental data provided in Table 2 shows the wrap tensile load at failure value statistics for samples of different shape of incision.
This formula can be reduced to (2) As shown in Fig.4, the data of empirical formula does not fit with experimental data very well.
The constants Cl and n can be measured by experimental data and calculated by using the least square method.
And b=1.18 is a constant, which can be figured out from test data and calculated by using the least squares method.

The valuable knowledge results perennially accumulated by the design units are difficult to be directly applied, and the manufacturer data import is of great difficulty, which could easily lead to the fault and system island of the knowledge management
It is not feasible to limit the life cycle management and the digital transfer to a single data platform.
The statistical analysis It provides the owners with the engineering data of the 3D model.
It accurately makes data statistics, especially the pipe, cable length and so on, so as to achieve the effective control of building cost.
The digital transfer The final version of the engineering design is submitted to the units that need the data according to certain rules, and it can be separately provided by the professional module and functional module and other classification ways.