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The isothermal grain growth data from XRD (in situ) of CGO SP thin films are shown in Fig.1b.
From Fig.1b and Tables 2 and 3, both the kinetic model (Eq.(2)) and the current work (Eqs.(7) and (8)) could give good fits to the experimental data.
From Fig. 1c and Tables 2 and 3, both the kinetic model (Eq.(2)) and the current work (Eqs.(7) and (8)) could give good fits to the experimental data.
Unfortunately, in this range there are too few data points in Fig.1c to regard.
Discussions According to the above experimental data (see Figs.1b and c), actually, it is unclear whether a solute drag induced reduction of mobility or a segregation induced decrease in the GB energy is primarily responsible for the sluggish boundary migration.

According to the internal data association between input space of software reliability test and failure data found in conventional software testing, a data matching algorithm is proposed to obtain possible failure time in software reliability testing by matching conventional failure data and the input space.
Data matching algorithm.
A suitable matching algorithm is proposed through analyzing the current known data matching algorithm combined with the form of the input data.
Now introduce a data matching degree of -type.
Preprocess the known failure data.

Introduction The reduction of NOx emission is currently a major issue in coal-fired power plant.
The proximate and ultimate analysis data are given in Table 1.
The figures show the data of the left side of the boiler with the zero in abscissa representing the center of the boiler.
The 100% SOFA flow is set as basic data, and the economy changes are calculated in Table 2.
In Table 3, the cases of low SOFA velocity are selected as basic data.

As for the effects of mixture proportion, concrete with higher W/C and higher water content showed greater weight loss and greater strength reduction below 300C, while those with higher cement content showed greater strength reduction above 500C.
Data available in past literature indicated that residual strength declined monotonously with temperature rise and that strength reduction was small for constant exposure to temperatures lower than 100C, and that degradation in concrete properties is torelable up to 250 to 300C.[1-4].
Several papers such as those by Browne R.D.et al.[4], Shneider U. et.al.[5] had presented data with downward peaks at intermediate temperature and Kasami H.et al.[7] had presented the formation of minimal strength at 50C and maximal at 80 to 110C after 91 day exposure to sustained temperature up tp 300C without seal, and the minimal strength at 50C was associated with intermediate weight loss.
Dynamic and static moduli showed greater reduction than compressive strength.
At elevated temperature below 300C, concrete with higher W/C and with larger water content caused greater reduction in compressive strength, while concrete with larger cement content caused greater strength reduction at high temperatures above 500C

At present, the design and using of most branch-pipe pneumatic conveying system mainly depend on laboratory data and practical engineering experience.
A genetic algorithm is adopted on relevant data to simulate and forecast, it is found that this method can better predict the characteristics of solid phase flow distribution, and then it provides basis for more comprehensive analysis of pneumatic conveying pipe network[4] .
Weighing value, the differential pressure of the branch pipe and flow data are collected by computer.
Choosing the related experimental data of glass beads, it regards the experimental data as studying samples when two branch pipes’ valves opening are respective 0o and 0o, 0o and 45o, 30o and 30o to train the neural network.
Experimental data when the opening are 0o and30o, 45oand 45o are used as experimental samples.

The most useful function of data mining technology is extracting valuable information and knowledge from irregular data.
Data mining technology [2] is a process to extract unknown before while valuable information and knowledge from those seemingly fragmented and irregular data.
As an analytical tool, Data mining technology is usually constituted by multiple steps.
By means of information management technology and database technology to achieve data integration and logistics management, thus data mining technology provides basis for intelligent logistics decision-making system.
At present, the application of genetic algorithms is a relatively mature technology of data mining techniques.

In this paper, the water and sediment data were collected since 1950 at Datong.
The runoff and sediment in Yangtze River estuary The annual runoff and sediment transport data were collected at Datong from 1950 to 2008.
The annual sediment load at Datong The changes of suspended sediment in Yangtze River estuary The data of suspended sediment gradation and median particle diameter are missing in 1957, 1958, 1968, 1969, 1970, 1972, 1973 and 1975.
The median particle diameter of different groups per year variation of riverbed sand The variation of riverbed sand Bed sand gradation, median particle diameter and maximal bed sand diameter are lack of data in 1957, 1958, 1968, 1969, 1970, 1972, 1973, 1975 and 1976.
The reduction of sediment discharge was significant, which showed a phased leap reduction.

Cavity volume of ring after compression to different reductions.
All rings expands when m < 0.09 irrespective of the reduction.
The white contact area is determined by binary data analysis of the micrographs observed in a microscope in five different radial positions as shown in Fig.7.
Fig. 8a shows the change in m with increasing reduction.
The friction coefficients m are constant at a reduction less than about 20%, while m decreases at a reduction of 30%.

In this research, the forming tests are conducted using a piezoelectric force transducer to measure the oscillatory force data during ultrasonic excitation of the die.
The recorded signals were acquired using DataPhysics signal acquisition hardware and software for data processing.
The first set of force data was recorded from the load cell in the cross-head of the machine and two ultrasonic amplitudes of the die horn were excited; 12 µm and 20 µm.
The second set of data was recorded for an ultrasonic amplitude of 20 µm and the force was measured using the piezoelectric force transducer mounted between the punch and the machine cross-head.
The measurement data presented in Fig. 5 superimposes the force measured from the piezoelectric force transducer on the force measured by the machine load cell.

Thus, this paper firstly built an economic benefits evaluation index system for power generation projects based on low-carbon financial benefits and carbon-emission reduction efficiency.
Their common shortcoming, however, is that the decision of choosing weights totally depends on the expert's experience and preferences with too much arbitrariness and not fully involving the information provided by objective data.
This paper, in the first place, choose those four most commonly-used indices—Net Present Value, Inner Rate of Return, Investment Payback Period, Rate of Return on Investment as low-carbon financial benefit indices [5], and then introduce carbon-reduction investment income rate and carbon-abatement cost into carbon-reduction economic benefit evaluation with comprehensive regard to the viability of procuring carbon-reduction benefit indices of venture construction projects [6].
First of all, normalize and non-dimensionalize the crude data in compliance with the formula (2) to get the standardized decision-making matrix, and the analysis can be seen in table 3.
This paper can find the amendatory measurements through analyzing other projects’ relative drawbacks in comparison with the corresponding data of project A, offer theoretical instructions to the economic benefit assessment of the projects of some certain departments, and help get investment policy privileges, tax incentives, the security of power gridization and so on. 4.