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The abductive network is then applied to synthesize the data sets obtained from the numerical simulations.
The prediction, control and reduction of springback have become very crucial in the sheet metal forming process.
The abductive network was then applied to synthesize the data sets obtained from the numerical simulation.
The polynomial network proposed by Ivakhnenko [7] is a group method of data handing techniques.
Effect of material properties on sprinback θ2 θ1 θ2 θ1 515 343 172 0.263 Effective stress MPa 515 343 172 0.00 Effective stress MPa (a) prediction network for 1θ (b) prediction network for 2θ Fig. 6 Prediction network for spingback's angle θ of U-shape bending process To validate prediction model accuracy, another 5 data sets of the suitable range are tested for the spingback's angle 1θand 2θ of U-shape bending process.

The isotherm adsorption data obeyed the Langmuir model, with a maximum adsorption capacity of 62 mg g-1.
The peak positions are in good agreement with those for γ- Mn2O3 powder obtained from the International Center of Diffraction Data card (ICDD, formerly JCPDS, 06-0540).
The adsorption data were fitted by Langmuir model as follows: Ce / q = 1 / ( k × q∞ ) + Ce / q∞ where q is the adsorption capacity (mg g−1), q∞ is the maximum adsorption capacity (mg g−1), Ce is the equilibrium concentration (mg L−1) of 2-(5-Bromo-2-pyridylazo)-5-(diethylamino) phenol in solution, and K is the adsorption equilibrium constant (L mg−1).
The isotherm adsorption data obeyed the Langmuir model, with a maximum adsorption capacity of 62 mg g−1.
Zou, Well-defined carbon polyhedrons prepared from nano metal-organic frameworks for oxygen reduction, J.

Based on the load symmetry positions’ difference of influence line for displacement at mid-span point, a index that detects the local damage of simply supported beam without initial data was proposed.
The methods based on static test and mode of vibration data needs a larger number transducers to obtain enough information[2,3].
The Influence Line Equation for Displacement of the Beam with Local Damage The simply supported beam model with local damage is shown in Fig.1, where s equals observation point, interval (a,b) equals local damage area , x equals load position .The bending rigidity is EI; the bending rigidity in damage area is kEI, where k equals the reduction coefficient of bending rigidity.
Then the index that detects the local damage of simply supported beam without initial data is proposed.
This methods realize the damage detection of bridge without the initial data.

This approach is derived from extensive field-reliability data collected on state-of-the-art silicon power MOSFETs in compact computer/telecom power supplies that clearly suggests that power MOSFET field-failures were primarily caused by bulk material defects.
A systematic approach to "reliability-driven" power technology development is needed for dramatic reduction in cost and significant performance gains; such a methodology is yet to be realized.
Similarly, while basal plane dislocation (BPD) densities have been reduced from 104 - 105 per cm2 to about just a few hundred per cm2, there has been no more progress on reduction in the densities of threading edge dislocations (TEDs) that remain at even higher densities.

Reduction in tensile strength is caused by decrease in the matrix crystallinity and formation of stress concentration spots emerging from interface discontinuity.
Based on previous research in this domain, the primary advantage of lignocellulosic fibers are found to be low density, high specific properties, recyclable, biodegradable, energy saving material [11] and reduction in fiber fracture in sharp corners of the processing equipment.
Theoretical predictive equations were used as the analysis platform for tensile data.
Comparison of the tensile modulus data with two predictive models based on Einstein equations for two-phase composites is also presented in Figure 1, which considers fiber packing and adhesion level of the fiber/matrix interface (Nielsen 1974).

The latest demands in reduction of emissions compel the automobile industry to lighten the structure of vehicles using third generation advanced high strength steels.
Demands in emissions reduction have driven the development of third generation of Advanced High Strength Steels (AHSS) with a superior strength/ductility balance that allows to reduce weight in structures [1].
This criterion uses the strain to fracture data provided by four experimental tests (uniaxial, biaxial, pure shear and plane strain) to calculate the overall strain at damage initiation as a function of triaxiality η and the Lode angle ϴ: εf=b1+c1n12f1-f2a+f2-f3a+ f3-f1a 1a+c2η+ f1+ f3-1n (1) where the triaxiality η defines the ratio between the hydrostatic stress σm and the equivalent stress σ from von Mises yield function.
Figure 1 represents strain to fracture data as function of the triaxiality η [9].

Firstly, it creates MCU (Minimum Coding Unit) of the colored JPEG image from the DU (Data Unit) of the greyscale image by the construction matrix randomly.
Introduction Image compression algorithms are used to reduce the amount of data needed to represent a digital image and the basis of reduction process is the removal of spatial and visual redundancies.
MCU construction is to construct a new MCU which contains four Data Units of, one DU of and one DU of. 8x8 block shuffle is to shuffle all the DUs randomly.

Moreover, Current density-Electric Field measurements demonstrated a reduction of the leakage current and an improvement of the breakdown behaviour in the presence of the interfacial thermally grown SiO2.
Interestingly, a crystallization process of the Al2O3 occurred under electron beam irradiation during TEM analyses, in agreement with literature data [9].
While a higher conduction band discontinuity justifies the reduction of the leakage current, the better dielectric properties of the Al2O3/SiO2/4H-SiC MIS structures can be explained by a ALD denser Al2O3 growth in the presence of the thermal SiO2 template.

In the spaceΓ, C=（X’ X’T） is the covariance matrix of the sample data
SVM can map the data to a high-dimension feature space by using a nonlinear mapping.
Schematic diagram of SVM The Experimetn and Result Analysis We use the data published by American Moving and Stationary Target Acquisition and Recognition program[7] as experiment data.
The data in depression 17° are used for training and the other for testing.
SVM classifier applied to the MSTAR public data set[J], SPIE 1999 3721 355-360

It has been found that better performance of heat exchangers is achieved with better field synergy effect; in the context of increasing transverse and longitudinal tube pitches within certain values of data, the heat transfer coefficient decreases as synergy angle increases.
The reason why k/Δp has a peak value is that the amplitude reduction of k increases while the amplitude reduction of pressure drop decreases.