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Sensor optimization methods of for the sake of modal identification have a lot of kinds, such as Effective Independence Method, Guyan Reduction Procedure, Modal Assurance Criterion Method and so on.
To reduce Successively the elastic modulus of selected node by 30%, according Eq.3, Eq.4, Eq.6 and Eq.7 to calculate sensitivity of modal parameters about elastic modulus in different placement of the fifth, seventh, eighth modes, the results are shown below : Fig. 3 Sensitivity of frequency about elastic modulus Fig. 4 Sensitivity of modal about elastic modulus Fig. 5 Sensitivity of modal curvature about elastic modulus Fig. 6 Sensitivity of flexibility matrix about elastic modulus Taking sensitivity data of various modal parameters into Eq.8, Eq.9, and get each freedom trace value of selected modal parameters: Fig. 7 Information matrix trace of frequency sensitivity Fig. 8 Information matrix trace of modal Fig. 9 Information matrix trace of modal curvature Fig. 9 Information matrix trace of flexibility matrix From the Figure 3 to Figure 10 we can see, flexibility matrix is the most sensitive

Data were calculated using the pKa values obtained from potentiometric titrations; b)pKa values obtained from potentiometric titration curves for each PDMA−PDPA copolymers at difference DBA molar ratio.
Therefore, the reduction of cytotoxicity of PDBA was due to hydrophobic interaction of the butyl group.

Principal Component Analysis (PCA) is perhaps one of the most widely used statistical techniques for dimensionality reduction.
Let() be the given data, where n and d denote the number of samples and the dimension of the original input space, respectively.

The final permeability reduction was still above 90% after being flushed with 20PV injected water.
The detailed production performance data for them at each production stage are compared in Table 2.

The washfastness data in TableⅡ indicated that the the anti-crease ink-jet printed fabric shows a very good fastness.
Table1 The effect of the epoxy resin on the anti-crease of ink-printed silk items samples control 1 2 3 4 5 epoxy resin[mass %] 0 8 10 12 14 16 Dry CRA (delayed deformation) 202 215 223 241 240 243 Wet CRA( delayed deformation) 170 210 221 255 255 265 Strength reduction (%) 10.7 13.6 14.2 16.9 23.3 Table 2 The fastness of ink-printed silk Sample Washing(C/M/Y/K) light crocking Staininga color change Wet dry Control fabric 3 4 4-5 3 4 Anti-crease fabric 3-4 4-5 4-5 3-4 4-5 References [1] Reinhardt, R.

In 1ms, the movement of the 1000 pulse, and remain in the speed of 1000pps.In 1ms, the movement of the 960 pulse, speed reduction to 900pps.Then in 2ms, the movement of 1400 pulse, speed dropped to 500pps.Finally in 5ms, the movement of the 830 pulse, speed dropped to 0.
Piece wise curve fitting and discrete degree of error data processing method.

Introduction Lead and zinc are important industrial raw materials.The sintering process of lead and zinc production is a complicated chemo-physical process, which involves physical and chemical changes such as evaporation and condensation of water, decomposition of solid materials, oxidation-reduction reactions, solid-state reaction and the melting and casting of chemicals.
(result X) in this essay is the output moisture setting value, it will remain the same as the current value, or equal to the W which calculated via the moisture optimization algorithm. 5．Simulation Result To simulate 30 groups of historical data using this system, the current permeability Pe/, optimized moisture amount W and optimized permeability Te/ were accessed.

After austenitizing at 1150℃ for 3min, these specimens were cooled to 850℃ at cooling rate of 10℃/s for 20s, compressed with 50% reduction by stain rate of 1s-1, cooled to room temperature at cooling rates of 0.5, 1, 2, 4, 8, 12, 16, 20 and 24℃/s respectively.
Results and discussion Steel B Steel C Steel D Steel E (a) (b) (c) (d) (e) Fig. 1 Deformed CCT curves of (a) steel A (b) steel B (c) steel C (d) steel D (e) steel E The deformed CCT curves of the investigated steels are presented in Fig.1 (a) through (e), and according to the data from Fig. 1, the relationship between boron content and bainite transformation start temperature (Bs) and finish temperature (Bf) is obtained as shown in Fig. 2.

The resulting ingot was homogenized at 1000 °C under an atmosphere of Ar gas for 2h and then was cold-rolled with a final reduction of 90% in its thickness.
The whole measurement is controlled using a computer, and the data are processed in real time.

It is clear from these plots that a steady state distribution of boundary planes is reached after the number of grains in the sample has decreased by more than about 25-40% (loss of approximately 10000-16000 grains) or, equivalently, after a reduction of total boundary area of more than 10-20%.
Fig. 6 compares energy for a boundary type (relative to the average energy 1.040) with the MRD value from the simulated data.