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Langmuir and Freundlich isotherms were studied and the equilibrium adsorption data was found to fit well with the Langmuir isotherm model.
The experimental data fitted better to pseudo-second-order kinetic model than pseudo-first-order kinetic model, based on high R2 for pseudo-second-order kinetic model.
The Langmuir isotherm model gave better fit to the experimental data than Freundlich isotherm model.
Langmuir isotherm model fitted the experimental data better than Freundlich isotherm model.
The pseudo-second-order kinetic model fitted the experimental data well, indicating chemical adsorption of Ni(II).

In the 1D case the distributions derived by means of the modified growth law agreed well with simulation data.
However, simulations data can be reasonably well fitted by more than one candidate distribution (at least over certain ranges).
Distributions given by Eq. 5 agree well with simulation data if β > 0.5.
It is not obvious how the value of β should be extracted from simulation data.
If sufficient time is allowed, side number distributions generated from simulation data always display a finite cutoff at 12 sides (see [14]).

The donor concentration and built-in potentials calculated from C-2V data showed large discrepancy from Hall effect measurement indicating that the junctions deviate from the ideal Schottky diode model.
By fitting the experimental data to this model, we determined the ideality factor n and barrier height φB at 300K to about 1.73 and 0.76 eV, respectively.
It may be caused by electric field dependent permittivity ε of SrTiO3: ε = b / (a + E 2) 1/2 (1) Here a and b are constants which can be deduced by fitting Eq.(1) to experimental data.[5, 8].
Ideality factor, barrier height, built-in potential and donor concentration were extracted from the experimental data.
The donor concentration and built-in potentials calculated from C-2-V data showed large discrepancy from Hall effect measurement indicating that the junctions deviate from the ideal Schottky diode model.

Based on the experimental data, the curve as the internal force of pipeline is first drawn out and discussed, in turn the characteristic of stress distribution and destruction rule of pipeline are analyzed and summarized, which may be referred for designer to take appropriate measures.
According to the data of the test, the author draws a picture in curves that shows the changes of the internal force and settlement along with the change of the pore size, then gets the regular destruction pattern of pipeline and the influence on the upper pipeline by the foundation settlement, offering references to protect the pipeline in practical projects in its regular use.
In 3 o 'clock direction and 9 o 'clock direction, the transverse stick strain gauge (018 cases) gets tension from the direction along the test pipe, and the vertical stick strain gauge (017 cases) gets tension perpendicular to the test pipe. 1.3Test Principle Strain gauge and displacement meter, which are installed in default position in the pipe, through conductor, are linked with the static resistance strain acquisition instrument that through the power line connected to the computer, then sets parameters, adjusts balance, read and maintain the data of the settlement displacement and strain through a automatic data acquisition system.
In addition, if the pipe is in 3 o 'clock and 9 o 'clock direction, the data is lesser in lateral strain gauge testing.
If soil deformation is obvious and pipe displacement is relatively limited by soil, underground pipe will suffer severe damage [8] [9]. 3 Conclusions The curve of the relationship between the settlement and the internal force and the hole forming drew based on the data in the test, the conclusions are as below: (1)As the influence from the settlement of foundation soil, the maximum value of stress in buried pipe appears the top and the bottom of the pipe in the middle of the hole, the pipe in 3 o 'clock and 9 o 'clock direction also appeared some strong stress as well, so these are the most vulnerable area to be damaged, and uneven subsidence area is vulnerable section for the pipe.

Results indicate that reductions in hydraulic conductivity values ranged from 1 x 10-9 to 6.79 x 10-11 m/s (i.e. two orders of magnitude) as the percentage of bentonite increased from 0 to 10%.
In this study, data on the influence of bentonite addition on the hydraulic conductivity of compacted lateritic soil was developed.
Influence of compaction water content on hydraulic conductivity of soil – bentonite mixtures Relationships between dry unit weight, hydraulic conductivity and compaction water content for the various soil mixtures are demonstrated by data shown in Figures 4 – 8.
In a manner similar to clay soils, increase in compaction water content led to reduction in hydraulic conductivity values [18-20].

If the sample data properties are not independent, forecast precision will been affected badly and internal instability will appear.
Experiment environment Experimental data.
The data were acquired from dyeing textiles pictures under daylight lamp.
This experiment was on the based on the data set that was obtained randomly from the total samples.
Further it eliminates the possibility of reduction in accuracy as the sample sized increases.

aEmail:18802767286@163.com, bEmail: liyunwenwu@163.com Keywords: Unmanned aerial vehicle; Maritime cruise; Risk evaluation; Selection optimization Abstract: Since the maritime traffic accidents and oil spill risk problem is getting increasingly serious, on the base of the maritime and oil spill accidents historical data analysis, the risk source in the Bohai Sea is discretized into finite cell.
And then, on the basis of Bohai sea’s information and data in navigation environment, routes, vessel traffic or so, the navigation risk factors are identified and classified [1].
After plugged the data of oil spill accidental pollution in the Bohai sea between 2005 and 2013, the system will calculate the risk index of each small square area through regional pollution accident risk index calculation method.
The cost-effectiveness analysis on the Bohai sea emergency base is mainly with the help of the quantitative analysis method so that the benefit and risk reduction are turned into measurable indicators.
Based on the data above, the genetic algorithm is used to optimize the site selection problem.

Ice adhesion strength of several commercial ice-phobic coatings were tested for Pratt & Whitney, and result indicated that reformative silicone R-2180 show significantly improved reduction in ice adhesion when compared to several different commercially available silicone-based ice-phobic coatings.
A data acquisition system collected and stored temperature, deformation and load data through time.
The data from each test were immediately analyzed for peak load and total work, and load–displacement, load-time and displacement–time plots were constructed.

TAKUMI adopted an event mode data recording method.
The dilatometer is used to do in situ neutron diffraction measurements during heating, hence neutron diffraction data and dilatation data can be obtained simultaneously.
EMAKi comprises experimental support tools, device control interface, data acquisition system, data reduction, analysis and visualization tools.
Time focusing manipulation was performed to the data.
However, since TAKUMI adopted the event data recording method, the data could be re-analyzed to be data per channel and could be plotted as a 2-D diffraction pattern shown in Fig. 5 (right).

We analyze and select a group of features based on public data set and the data collected in the actual network.
This method disperse the continuous attributes of dataset by binning method and reduce the features of the data through the method of complete reduction algorithm.
In addition to [5], other methods dependent on the specific data of data sets provided by Moore in[1].Web traffic accounted for the vast majority of Moore data sets and P2P traffic accounted for less than 1%.The Moore data sets can not reflect the real situation of the network.
Data sets The experimental data sets including two parts, one is Moore data set and another data set is captured in the actual network environment.
The data set describe as Moore_set.