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A cross-section curve is generated by discrete data, and then a surface is generated by the cross-section curve according to certain rules.
Control points can be calculated by curve or surface data points, and then surface modeling can be completed.
Before discrete data are imported into SolidWorks software, the data format needs to be changed.
Firstly, control points can be calculated after data points of a blade section are imported into computer.
On the one hand, if the rotation angle is small, the electrode is easily deformed due to insufficient rigidity, and the electrode loss is increased because of the reduction of effective discharge reaction area.

Qualitative and quantitative indicators of need and consider reasonable refinement, providing a foundation for subsequent data related evaluation model or method.
Evaluation should benefit selected to collect data, indicators can be quantified.
That means financial evaluation in accordance with the existing relevant fiscal and taxation system of China and the relevant provisions of the price system or policy, from the perspective of project investment, according to the evaluation of each time period and after a year of real input and output data, and the calculated predictive data, comprehensive and reasonable assessment project financial profit ability, and on this basis to explore basic situation of project finance, with the project feasibility study report, comparing the relevant content found that major change happened and related reasons.
Delphi method is simple and practical, are subjective weighting method, the evaluation results of the evaluation should be based on expert judgment meaning of subjective indicators further understanding of the outcome, the advantage lies with the sample data can be carried out without judgment, disadvantage is too subjective.
Factor analysis and principal component analysis are objective weighting method, similar to their empowerment methods are determined by the common factor or principal component dimension reduction, determined by calculating the right common factor or principal component weights, using this method , have asked a number of indicators of samples of each indicator has a linear correlation.

The software is based on data from the scientific literature [8] and research works available at Petroleum - Gas University of Ploiesti.
There are three levels; Tier 1 basic; Tier 2 intermediate; Tier 3 advanced, the most demanding in terms of complexity and data requirements.
Undergraduates are encouraged to use real data from the plant.
The design engineer's objective is to reduce the immission at ground level and therefore the use of quality data is preferred.
Students are encouraged to design and analyse the efficiency of emission reduction solutions.

Lewandowski et al. [6], proposed Temporal Laplacian Eigenmaps to embed time series of motion capture data, obtaining good results on both human motion reconstruction and action recognition.
Phase space reconstruction is performed by the delay embedding of the observed data into phase space vectors.
Recognition performance is evaluated by using the cross-subject test, which the sequences of half of the subjects are used as training data, and the rest are used as test data.
To evaluate the classification performance, we divide the data into the training sets of 2/3, 1/2, 1/3 and half of subjects of sequences, while the rest is used for testing.
Temporal extension of laplacian eigenmaps for unsupervised dimensionality reduction of time series[C].

Defectivity data were collected on both blanket and patterned wafers.
The data are reported in the plot from the one with the lowest number of particles to the one with the highest.
In addition, a clear increasing trend of the number of particles with the reduction of the spacing [4] could be observed in the plot of Fig. 3.
These data lead us to hypothesize that the increased number of particles observed on the wafers in back positions could come from the back side or bevel of the patterned wafers in front positions [5].
It can be observed from the comparison of trial (a) and (b), that this new set of data confirms the results in Fig. 5a, since all the kind of defects, included the silicon flakes, have been significantly reduced with the introduction of the scrubber in the trial (b).

(9) s.t. x(y1)≤y1D , x(y2)≥y2D xΩ y1, y2φ 5 Data Base and Knowledge Base of Green Material Material Database of green manufacture refers to the data used and produced during material selection.
So, the database and knowledge base of green material selection are the fusion and integration of the required data and knowledge during the whole life cycle of product.
To meet the demands of green material selection, corresponding database and knowledge base must be built so as to provide important data support and knowledge support for material selection, technical design, recycling design, supply chain management etc in green manufacture. 6 Environmental Influence Evaluation System Based on Green Material Life Cycle Environmental influence evaluation system based on green material life cycle aims to provide support information for material selection in green manufacture.
Relevant support techniques such as green material data base, green material knowledge base and environmental influence evaluation system of green material life cycle were researched.
The research provides powerful technique support for actualizing energy saving and emission reduction in China.

The data indicates that the solubility of SiO2 close relations with the pressure, once the pressure is reduced, solubility decrease[5].
Fahmi Brahim et al[17]simulated CaSO4 crystallization fouling forming process by using fluent and the results showed that: the time and temperature on the influence degree of the fouling heat resistance, and the simulation results with experimental data matched and had high practical value.
Results and discussion The model of fouling simulation calculation software using the Matlab2009 version, simulation is the related parameters according to the relevant data and experimental data to be sure: ；；；；；；；；；；；；。
The evaporation temperature rises in evaporator, to the unit of increase production, but also increases the fouling heat resistance, which is unfavorable for the system operation cost reduction.
This deficiency lacks experimental data and the simulation results contrast to studies focus on the future.

Fig. 2: Heck reaction catalysed by Pd catalysts Results and Discussion Infrared (IR) Spectroscopy Infrared data of the compounds are presented in Table 1.
The nature of this interaction is such that it reduces the electron density on the C=N and C-N moieties as shown by the reduction of the frequency implying the reducing strength of the C=N and C-N bonds.
Table 1: Infrared spectral data for ligands and palladium(II) complexes Ligand/Complex Frequency (cm-1) C=N C-OH -OCH3 C-OH Pd-O Pd-N L1 1630 (w) 1251 (s) 1033 (w) 1251 (s) - - PdL1 1620 (s) - 1032 (w) - 567 (w) 515 (w) L2 1636 (s) 1252 (s) 1037 (s) 1252 (s) - - PdL2 1616 (s) - 1036 (w) - 581 (w) 495 (w) Nuclear Magnetic Resonance (NMR) Spectroscopy The 1H NMR data of ligands and their complexes are presented in Table 2.
Table 2: Significant 1H NMR spectral data for ligands and complexes Ligand/Complex Assignment (ppm) HC=N H-C-aromatic -CH2 -OCH3 C-OH L1 8.38(s) 6.76-7.30 (m) 4.74(s) 3.79, 3.88 N.D PdL1 7.69(s) 6.47-7.39(m) 5.04(s) 3.76, 3.77 - L2 8.42(s) 6.85-7.27(m) 4.78(s) 3.89(s) 13.80(b) PdL2 7.73(s) 6.49-7.45(m) 5.06(s) 3.76(s) - s, singlet; m, multiplet; N.D., Not Detected Molar Conductance and Magnetic Moment Molar conductivity measurements conducted on the palladium(II) complexes revealed the non-conductivity nature of the solution at room temperature (ΛMa = 0.00) indicating the absence of any electrolytes [5].
All these data indicate that the palladium complexes may be utilized as catalysts in the Heck reaction.

Since FPGA processing data, the presence of fixed-point processing accuracy is not high, and IP Core floating point unit and there are some problems in the use of design risk.
Exponent E = e + bias: e is the true value of the order code, bias is often offset 127 1.f value represents the ending, ending the normalized its first digit is 1, in order to make representation. mantissa highest accuracy, the data stored in the front of a decimal point omitted, then resume when you use it.
The algorithm using floating point adder of the following steps : The sum result of the sign bit S: size comparison of the two input floating-point exponent , the larger the order code as addend opa, order code smaller as summand opb, the final result of the sign bit S the request is the sign bit addend opa ; Pretreatment Index Domain E: with addend is obtained by subtracting the gradient opa addend opb; Reduction mantissa and added : opb summand will be restored and the ending is right, then the sum of the two numbers to get a 24-bit mantissa tail value ; Adjustment index domain and ending : judgment obtained the highest bit mantissa 1, the result of subsequent deposit and values mantissa ; then according to the position of the highest 1 bit addend obtained the order for the code to make the shift adjustment order code values and values obtained ; The results of normalization : the results calculated by the integration of the previous single-precision floating-point format of the
When detected trigger signal adder is 3'b001 start when the input data to determine whether the two single- precision floating-point normalized , if not then the output error signal.
Opa were obtained by a multiplier clock count mode (32'hbf800000) and a multiplicand opb (32'h44ffe000), when both are equal to the value set to start recording data, multiplication.

The measured temperature data are additionally corrected by a three-dimensional (3D) simulation to ensure a validity of the results.
Simulation Modelling Since the experiment always contains a temperature measurement error due to the delay time after current turn-off, a 3D-simualtion was carried out to correct the experimental data.
The full model is a standard baseplate-free packaging technology with the material data and layer thicknesses in Table 2.
Material data and geometry for the simulation.
The bond wires even allow a local reduction in temperature, even though the effect is small.