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The material constants were determined according to the creep experimental data, using an efficient genetic algorithm.
However, there is a lack of experimental data for high temperature creep of 2.25Cr-1Mo-0.25V ferritic steel, and few studies on the creep damage constitutive model based on the physical mechanism are carried out.
In this paper, the creep experimental data under different stress levels for 2.25Cr-1Mo-0.25V steel were obtained, and the material constants in the creep damage constitutive equations were determined using a genetic algorithm.
The creep damage constitutive equations in the uniaxial stress state can be represented as follows[2]: (1) where A, B, C, h, H*, Kc are six material constants, which can be determined by fitting the damage constitutive equations to the experimental data based on the least square optimization method.
The fitted material constants using GA are listed in Table 2, according to the uniaxial creep data of 2.25Cr-1Mo-0.25V steel at 482°C.

Those values were found to be reasonable compared with previous researchers’ data.
The solid diamond denotes a standard re-oxidized state’s impedance data measured at 450 °C for comparison.
The proposed effective equivalent circuit model as shown in Fig. 4 (inset) was applied to fit the measurement data.
When extrapolating to 1000 °C, the CDC is comparable well with earlier published CDCs data as shown in Fig. 6 [13,15].
Those values were found to be comparable well with the earlier published data. 5.

The practical investigation and data shows the scenario that all types of garments industries are not capable to use CAD & CAM and also not even profitable for them. 1.
Data Analysis : (Table: 01- Data of manpower requirements for different volume RMG factories) Factory Size Sl.
Ltd. 6 Manual & Manual 43 15 Alim Knitwears Ltd. 6 Manual & Manual 44 (Table: 02- Data of total investment and investment for pattern drawing & cutting of different scale RMG factories) Factory Size Sl.
Manual &Manual 3,30000 10,200 (Table: 03- Data of average marker efficiency & change of product cost for different size factories) Factory Size Sl.
Manual & Manual 78% No Change (Table: 04- Data of change of production per hour & product quality for different size factories) Factory Size Sl.

The Table 1 shows that the pseudo-first-order kinetic model does not fit the experimental data in accordance to their very low correlation coefficients (R²).
The pseudo-second-order kinetic model displays high correlation coefficients (R² > 0.99) for the experimental data (Table 1).
These values indicate that this model fits reasonably the experimental data and it can describe the adsorption mechanism in the biosorption kinetics.
However, the linear regression has only been determined for the first stage with the seven first experimental data points (from 0 to 35 min of contact time) as the lack of experimental data after 60 min did not allow a good fitting of the model to experimental data.
These values indicate that the Langmuir model fits very well the experimental data.

However, in this way, it may need writing and reading the disk frequently, transmitting data largely, beacuse of SSSP’s iterative.
As a parallel programming framework, MapReduce [5] has its inherent advantage in the field of mass data processing.
The data sources are randomly generated according to certain rules (in graph, all weights of arcs are greater than zero; InDegree and OutDegree of each vertex aren’t both zero).
Large Scale Graph Data Processing on Cloud Computing Environments.
HaLoop: Efficient iterative data processing on large clusters.

The fading is leading to the delay spread of the transmitted data and causing to the inter-symbol interference (ISI) at the receiver.
(a) (b) Figure. 2 (a) Experimental setup of channel measurement and (b) Flow chart of data processing.
Furthermore, we can describe a flow chart of the data processing as illustrated in Fig. 2 (b).
Firstly, the simulation data is generated by using computer simulation as well as the computational measured channel data.
Sharma, Diversity: A fading reduction technique, International Journal of Advanced Research in Computer Science and Software Engineering, 2 (2012), 58-61

The purpose of the present study is to investigate the effect of blockage at the leading edge of cavity by using PIV which is to collect the u and v velocity profile data for each blockage in the cavity.
In Fig. 1, one example of image was included and also the validation data with previous researcher with the same experiment environment without any blockage to prove the experiment result [6].
(a) (b) Fig. 2 (a) Example of cavity image with blockage and (b) Validation data compared with S.M.
At leading edge, there are no clear different data to compare in the cavity but at the above, the vortex seems to be high for any kind of blockages.
Mean velocity profile data have been gathered throughout the cavity within four sections.

Especially, the mostly risk perception was privacy risk, that is, data confidentiality and individual privacy.
The data were collected using in-person interviews between July 1 and September 30, 2009.
The most important risk perception of using the telecare system was data confidentiality (93.8%), followed by individual privacy (93.2%).
With respect to risk perceptions of the telecare system, the highest scoring item was data confidentiality, followed by individual privacy.
Firstly, the content validity and reliability of the self-designed questionnaire have not been tested so that the data may not be highly reliable.

Procedures to obtain interface energy (γi) and solute segregation parameters from diffusion data Extraction of interface energies from diffusion data.
Interface Solute Segregation Effects from Diffusion Data.
The data points are for the total ∆H' enthalpy values obtained from diffusion data according to the Eqs. 6 and 7.
The diffusion data in the decomposed Pb-Sn eutectic alloy fall in the band comprising of data in the polycrystalline Pb and low Pb-Sn alloys (see Tables 1 and 2) with lower activation energies in the range of 40 - 50 kJ/mole.
The value of the interface energy obtained from the self diffusion data is 350mJ/m 2 at 1100K.

Reduction of EEG.
The influence of reduction on the structure of electrochemically exfoliated graphite was determined as well as the structure of EEG.
Changes in the structure induced by the reduction of EEG were presented also in Fig.1.
The disordered structure of EEG and changes induced by the reduction of EEG were also confirmed by Raman spectroscopy.
Additionally, D*, D’’ and D’ bands were presented in Fig.3c and d, in which experimental data were fitting to a sum of five functions.