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The parameterisation of uncoupled models proves to be significantly simpler and can be carried out based on some experimental data points in dependence of the stress state.
The transformation from biaxial to uniaxial stress data was performed with the help of the approach on plastic work according to Sigvant et al. [9], which has proven its quality over the past years.
The plastic properties were defined in accordance with the material data listed in the previous section.
Both models were able to reproduce the data sets well.
Vegter et al., A viscous pressure bulge test for the determination of a plastic hardening curve and equibiaxial material data.

Those buildings received "Intelligent Building Mark" feature advantages of energy-saving and carbon reduction, electricity reduction, operation simplification and cost reduction, and government also provides incentives such as Article 7 of "Regulations of Bulk Reward for Urban Renewal" [5], which clearly states that up to 20% bulk reward buildings will be rendered to those buildings adopted intelligent-based design.
Research content and methodologies After obtaining qualitative data through related literature review and case study on intelligent building, this study further carried out statistics and comparison analysis of the research contents by Content Analysis Method.
Through quantitative techniques and qualitative analytical method, the study conducted objective and systematic statistics and analysis on the data content [9].
Therefore, the study obtains qualitative data through related literature review and case study, and further conducts integration and statistical analysis of various intelligent building indicator items used in each case.
Caffrey, "The Intelligent Building-An ASHRAE Opportunity", ASHRAE Technical Data Bulletin, 4 (1) (1985)

Thus, meet the requirement of energy conservation and emission reduction.
The discrete degree of individual difference is smaller and the data distribution is intensive.
According to the data 1365, we can work out the saving-water by using this device is: (3) It is that the saving-water of each family in each year is 2.57 ton.
The economic benefit of saving water each year is E—20yuan, dynamic pay-back period equation is: (4) Take the data to the equation, .
Come to a conclusion by data and model. 1.

Data analysis and optimization.
Response surface software Design Expert (version 8.05) was applied to fit the response surface model to the experimental data through the multiple regression analysis.
All data in this study were the mean of triplicates.
The regression analysis of Box-Behnken experimental results was performed to fit the response function (VFAs production) with the experimental data, shown in Table 3.
ANOVA showed the R2 value of 0.9302 for response Y, which implied that 93.02 % of data variability could be explained by the model.

ERP systems could solve the fragmentation problem by the integration of internal processes based on an extended portfolio of software and data base for the whole functionalities of the organization [1].
The motivation for ERP is associated to: the need to improve the performance of current operations; the need to integrate data and systems; the need to prevent a competitive disadvantage or a business risk from becoming critical.
In another vision, Ross, Vitale (2000) considered on one hand three categories (infrastructure, capacity, and performance) and on the other hand six reasons (infrastructure, process improvement, data visibility, cost reduction, strategic decision making, customer responsiveness).
In Parr, Shanks (2000) there are highlighted the following types of factors: technological (common platform, obsolescence of legacy systems), operational (process improvement, data visibility, operating cost reductions), and strategic (multi-site standardization, customer responsiveness, decision-making improvement, need for efficiencies and integration, business restructuring).
ROA permits: the integration of the flexibility in a new dynamic framework; a better understanding of the optimal decison making process in innovative projects (characterized by poor historical data); high quality simulation and real time implementation of valuation decisions.

Design of fast digital detection of formaldehyde gas is contained in this paper, which take use of sensor for rapid detection of formaldehyde in the air, a data conditioning and acquisition circuit of changing nano-amps current provided by the sensor into a suitable voltage after the MAX4072 and OP37 was designed and the voltage would be received by MSP430 at last.
Software design Msp430 take advantage of low power as well as data processing ability for handheld devices.
In this circuit，micro-signal take the maximum reduction of the authenticity without going through too many software processing.
Converted voltage signal goes into 12-bit AD in the F149 through data acquisition.
Shkarovskii, in:Graphical Representation of the Initial Data and Computational Results for the MCU Computer Code, edtied by Atomic Energy, volume 99( Number 3 September 2005), p. 597-601

In the time domain, the Prony series is a frequently used numerical method that accurately represents the connection between the relaxation and creep functions of viscoelastic materials. [37] Researchers often employ this method to model viscoelastic materials, validating their findings through experimental data from various polymeric materials.
Relaxation modulus and relaxation time are the two parameters we are required to add in the FEM software as an important property of viscoelastic material. 2.3 Using DMA data to obtain Prony series for VEM By conducting Dynamic Mechanical Analysis (DMA) on a specific-sized material sample, it is possible to obtain the values of storage modulus E' and loss modulus E''.
By leveraging Equation 2 alongside the DMA data provided in Table 3, the Prony series constants have been calculated as follows: Equation 2 of storage modulus was used till the 4 terms.
A noticeable reduction in the maximum amplitude is observed for the Multilayer CLD, measuring approximately 18 m/sec2, compared to the Sandwich CLD, which is around 24 m/sec2.This reduction in amplitude highlights the effectiveness of the Multilayer CLD treatment.
Experimental investigation on the noise reduction of an axial piston pump using free-layer damping material treatment.

Test cyclic σ-ε data can be obtained by taking the data at the top points of entire specimen stable loops shown in Fig. 4b.
The scattered data in Fig. 4c indicate that there are random cyclic σ-ε relations for the present material.
As shown as in Fig. 5, test cyclic σ-ε data should be uncoupled into elastic cyclic stress-strain (σai-εeai) data and plastic cyclic stress-strain (σai-εpai) data, where i=1, 2, ..., ns, for description.
Stress-strain data 0 50 100 150 200 250 300 350 400 0 0.2 0.4 0.6 0.8 εa (%) σa (MPa) Fig. 4 Stable hysteresis loops and cyclic stress-strain data for the present material
C =50% 0 100 200 300 400 500 600 0 0.2 0.4 0.6 0.8 εa (%) σa (MPa) Test data P=0.9999 P=0.999 P=0.99 P=0.5 P=0.9

We used these data as reference points in analysis of OIE results.
Dots – experimental data, lines – calculation.
Dots – experimental data, lines – calculation.
The corresponding data for the initial powder are presented in Figs. 3.
New data on oxygen diffusion coefficients in manganese oxides are obtained.

The use of remote sensing data is given priority to with TM and NOAA/AHRR combination.
With MODIS data issuing, gradually carried out some study on crop monitoring using the MODIS data [4].
(4)Haze Reduction.
In Bottom Left, there is data statistics table.
The first is Y=a*NDVI+b by selecting the parameters a and b you can calculate the production, and the second is Yt=Yy*NDVI/NDVIy the NDVI data is this year’s, the NDVIy data is last year’s.