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Introduction In the data analysis, often need to deal with the massive data set.
These data sets contain some redundant or even irrelevant features.
Method of Data Grouping.
Experimental Result and Analysis Experimental Sample Data Sets.
It was only slightly lower on the data sets of Soybean-large and Zoo on, but higher on the other data sets.

It allows to control defined specimen motion, continuous data recording from the 2D laser profile scanner, obtained data pre-processing (profiles averaging, filtration, etc.) and after that their saving to the resulting data matrix.
The final specimen’s topography can be also displayed using this software and some additional operations can be performed (cutting off the monitored area, rendering 2D and 3D surfaces, saving results in different data formats, etc.).
The issues connected with choosing the distance between the obtained line profiles should be solved with respect to achieving a compromise between the expected measurement accuracy, the amount of processed and evaluated data and the technical difficulty of designed measurement system.
The resulting determination of the fracture surface area from the obtained data was solved by a simple algorithm which allows to quantify the approximate area between the four neighbouring points of the data matrix (z-axis) by the dividing of the resulting pattern into two triangles in a 3D coordinate system.
The increasing maximum temperatures in furnace in the range between 550 to 1000 °C led to a significant reduction of the modulus of elasticity value, a slight reduction of fracture toughness value and a significant increase of fracture energy values.

To accelerate the process, it was decided to develop a program that will calculate the dimensionless function based on user input of the experimental data [15], [16], [17].
The output data are: Rational amount of powder and Evaluation of the effectiveness of the solution. 2.
Such data are: Information about the properties of nanopowder, base metal, welding regimes.
After the analysis of the input data has been completed, the processed data passing under the user's requirements will be transferred to the calculation stage. 3.
At the calculation stage, based on the analyzed data, the value of the dimensionless function is calculated: f =s∙e v where the thickness of the dendrite is s (μm); the width of the dendrite is e (μm); the volume of a drop of electrode metal is v (mm3).

The peak in relation to phytochemicals is somewhat reduced as a result of alterations in poly-hydroxyl molecules involved in bio-reduction.
Additionally used as catalysts in the reduction of nitro-azo compounds are bismuth nanoparticles.
Piyush Kumar Thakur and Ashish Saraf contributed the data analysis, review and manuscript preparation.
Availability of the Data and Materials There is no data availability for the reproduction.
Gao, Preparation of bismuth nanoparticles in aqueous solution and its catalytic performance for the reduction of 4-nitrophenol.

Fuzzy Logic Control Strategy for an Extended-range Electric Vehicle Jigao Niu1,2,a, Su Zhou 1,2,3,b* 1Clean Energy Automotive Engineering Center, 2School of Automotive Studies, 3Sino-German Postgraduate School Tongji University (Jiading Campus), 4800 Caoan Road, Shanghai 201804, China b*suzhou@tongji.edu.cn, ajigaoniulucky@163.com Keywords: series extended-range electric vehicle; control strategy; fuzzy logic controller; fuel consumption; emission reduction Abstract.
The E-REV offers the opportunity for petroleum independence, and a dramatic reduction in emission for many drivers [1].
Data exchange between Cruise and Simulink is realized by using the component Matlab DLL.
Table 2 Comparison between PFCS and FLCS in the Extended-range Mode Cycles PFCS (L/100km) FLCS (L/100km) Ftp72 6.58 6.07 Highway 7.04 6.33 Conclusions The E-REV offers a compromise between conventional vehicles and purely electric vehicles, the opportunity for petroleum independence, and a significant reduction in emissions for many drivers.

The G band of the epitaxial graphene layer was clearly observed without any data manipulation.
Accordingly, a numerical data processing is required to extract the genuine signal of epitaxial graphene from the as-measured Raman spectrum of the specimen.
manipulation of the experimental data needs special care because it is possible that the other important data cancels out.
The G band was clearly observed without any data processing and found at higher frequency side compared to the exfoliated counterpart and HOPG.
Adachi, Optical Constants of Crystalline and Amorphous Semiconductors Numerical Data and Graphical Information (Kruwer, USA 1999) [9] I.

The optimization has two goals: weight reduction and bearing load capacity.
According to maintenance data, one third of all overhauls of hydraulic servoactuators were caused by leakages through the mentioned sealing.
The second important criterion was the weight reduction.
[4] 304 Chromium - �ickel specification sheet, Sandmeyer Steel Company material data, 2007
[6] B - H curve for Armco iron, The German Electron Synchrotron DESY material data, 2006.

The data are inputted into the computer, P-S-N curves for 50%, 95%, 99% survival rate are attained by the computation with a program package of the fast fatigue test method.
Table 2 The tensile testing results Steel Yield strength [MPa] Tensile strength [MPa] Elongation [%] Reduction of area [%] HB D 515(1) 825 18.5 44.5 135 S 535 825 16.0 42.5 140 X 510 855 14.5 42.0 133 (1) Notes: the testing data are average value of three testing specimens The impact testing results.
The P-S-N curve for 50%, 95%, 99% survival rate of D, X, and S steel are showed in Fig.3, which are attained by the mathematical statistic analysis using bending fatigue testing data.
The impact and mechanical properties data listed in table 2 and 3 indicate: the yield strength and the tensile strength of the X, S, and D steel are almost same.
According to P-S-N curve formula σ=AlogN+B, and applying the data of Table.4 to substitute A and B values of the formula, the fatigue cycles are attained under the same bending stress.

An enterprise that wants to follow the Lean concept, needs the commitment of leadership, organization and the evolvement of all employees by developing a structure that coordinates and sustains the efforts for identification, analysis and synthesis of existing data, to find and apply solutions of improvement.
To draw this, the used principle is to observe the manufacturing process of a product or a process of service supply, and to register the specific data (operations, consumption, results, performance indicators, work parameters, work place organization, needed information etc.) and to represent with the help of specific symbols all the results of observations.
To make the VSM, the study started from the client to the supplier and was put on the map all the needed data, to highlight the activities with no added value.
To make the VSM, were also needed data from the client, supplier and mode of organization, management of production, these data being presented in the followings.
In order to manage the stock FIFO, is needed for all the products of a fix location, easy to manage, so the quantity, data of production and the type, to be easily visible.

And this data structure is usually implemented with a layered C++ class.
SAT file format can exchange data with most existing 3D software data formats, including CATIAV4, CATIAV5, IDEAS, IGES, etc.
The exchange with other data formats is implemented mainly through InterOp, because the conversions of most common data formats are integrated in InterOp
Point cloud of Model 4.1.1 Data measurement and processing The point cloud data of the transected surface obtained by Arm Coordinate Measuring System is shown in figure 2.
Point cloud measured by CMM Then, the measured data is analyzed, and reverse engineering analysis should rely on a data model and all data results are mutually compared for choosing the optimal industrial design plan.