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The reduction of time for new product development should be the significant issue [1].
The standard data interface between CAD software and the machines is the .stl file format [3–5].
The proposed work deals with formulation and conduct of experiments, collecting necessary data and drawing conclusions on how printing parameters affect the tensile strength of products.

Meanwhile, the significant reductions in the levels of apoptosis of chondrocytes, studied in a H2O2-dose dependent manner (0-2 mM), were observed with a use of a flow cytometer when the chondrocytes were cultured on the PCL/PHBV/50%NaCl scaffold in which more GAG content was found.
Data were reported as mean ± SD.
Data were presented as mean ± SD from three independent specimens (n=3).
Data were presented as mean ± SD. * indicates p<0.05 and ** indicates p<0.01.

Magnetic study reveals reduction of the saturation magnetization (Ms) for Fe3O4@ZnS nanocomposites compared with uncoated Fe3O4 nanoparticles.
As seen in Figure 1(a), all diffraction peaks at 2θ=18.3°, 30.1°, 35.4°, 37.0°, 43.0°, 53.4°, 56.9°, 62.5°, 70.9°, 73.9° and 78.9° of the sample, can be assigned to a pure fcc (face-centered cubic) phase [space group: Fd3m (227)] of Fe3O4 with cell constants a = 8.396 Ǻ, which agree well with the reported diffraction pattern (data from JCPDS file No. 19-0629).
In Fig. 1(b), besides the corresponding peaks of magnetite, the diffraction peaks observed at 2θ= 28.6°, 47.5° and 56.3° were well indexed as (111), (220) and (311) planes of the known fcc phase ZnS (data from JCPDS file No. 05-0566), respectively.
According to the data of F.

These data are also processed to calculate or identify input parameters for the numerical investigations.
By simple uniaxial compression tests, measurement of axial and radial stresses and by numerical identification of input parameters the necessary data for Drucker-Prager-Cap material model in ABAQUS can be gained.
Fig. 4: Compressibility in layer compression test for disks compressed with different compression stresses made of chips Having a closer look on the tested specimens it can be seen that the reduction in height for the disks compressed with lower stresses in the chips pressing process is higher than for those being produced with 200 N/mm² or 300 N/mm², respectively.
An experimental setup for chip pressing that allows compressing the chips with different loads as to record important process data during the experiments was presented.

Material-technological models based on data obtained directly from a real press-hardening process were examined on two experimental steels, CMnSi TRIP and 42SiCr.
The data for developing the model was measured in a real-world process, with the tool either at room temperature or pre-heated to various temperatures.
Yet another reduction in the cooling rate to 10°C/s led to an increased proportion of ferrite, to even lower mechanical properties, and to no increase in elongation (Fig. 7).
Sequence 42SiCr-05 – press-hardening with Q&P processing – 10°C/s – 200°C – 250°C/600 s, martensite with ferrite and a small amount of bainite, SEM Summary In this experiment, a press-hardening route was tested which had been designed on the basis of data from a real-world forming process.

From the measured data also a concentration - depth profile has been deduced.
(1) The information depth ξ is the average depth for a given specimen of thickness t from which the diffracted X-rays emerge weighed with an absorption factor accounting for the intensity reduction due to absorption: ( ) 00 exp exp 1 exp exp t t z t z dz t t z t z dz τ τ ξ τ τ τ −  −          = = = − −  −  −         ∫ ∫
In this approach it is possible to determine effective XEC's according to ( ) V R 1,2 1,2 1,21 hkl S wS w S = + − , (8) by applying a least squares fit to the data in the f(ψ) plot with the stress and w as fit parameters [3].
The best fit obtained for the measured data points according to the f(ψ) method is achieved for w = 0.0753.

Communication module interacts with the data module.
On the one hand, the communication module stores the data getting from the smart sockets and smart infrared controllers via the serial in the data module, the server reads infrared commands from the cloud, stores the user information, grid power consuming price and other data getting from the cloud server in the data module.
Content Provider is the important tool for data persistence in Android.
Data module is based on the Content Provider. 4）AsyncTask and Handler.
SQLite is standard language when adding, deleting, updating data, etc.

Organize data means by XML can improve the flexibility of the method of the revised parameters.
Fig.5 The Relationship Between Different Construction Components and Data Organization 3.
Fig.6 The Process of Modeling Make full use of the existing data on the 3D model generating can greatly reduce data acquisition cost, shorten modeling cycle.
Data from building construction planning drawings are with high accuracy and up to date.
So the related 3D model reduction and data compression methods are worth using for reference.

From the data collected and the data were processed with the software Surfer 11 to determine the spread of temperature , humidity , light , and sound of the traditional house and Modern house .
Data Processing in this research was done by comparing the data obtained from the data collection phase with the reference value of national standards for ergonomics and human comfort.
Data deployment processed by using Surfer software.
Processing for each data can be seen in Table 5.
Data Processing Data Processing Dimension Comparison with the value of anthropometry Layout and Data deployment Surfer Software Light Comparison with National Standard 03-6575-2001 Humidity and Temperature Comparison with Discomfort Index Value Noise Comparison with .

In Section 3, we describe the data source and experimental settings.
RGA attempts to search for optimal parameters which allow SVR to fit various data sets.
The high accurate data acquisition card was used to monitor the forward voltage.
The measured data of high power LED thermal resistance are divided into two parts and these parts constitute training and testing data.
The experimental data set consists of 50 values.