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Moreover, the following equations were used to calculate pseudo first-order and pseudo second-order, respectively, using the experiment data on the effect of contact time:
The data from the adsorption experiments involving different pH levels, varying adsorbent dosages, and different durations of contact time were subjected to the following tests: Two-way Analysis of Variance (ANOVA) and t-tests at a significance level of 0.05 to investigate further into the collected data concerning the adsorption characteristics of both GO and EGO.
Since the longest adsorption exposure of the experiment was obtained during this effect of contact time, data from it was employed (Table 6).
These data were graphed and analyzed by applying linearized forms of both the pseudo-first-order (Fig. 6a and 6b) and pseudo-second-order equations (Fig. 6c and 6d).
The pseudo-second-order kinetic model has become among the most popular ways to fit rate data for adsorption of metal ions, dyes, and other compounds from aqueous solution [34].

The image processing system consists of CCD cameras, LED makers, and a data acquisition computer.
Each marker position in camera image was calculated in the data acquisition PC at the site, shown in Fig.14.
Continuous monitoring of the data acquisition has been also conducted with sampling interval of 0.1s (10Hz) for the camera system and 0.25s (4Hz) for the anemometer since April 2009.
Several data of moderate and minor earthquakes have been recorded since April 2007.
To directly measure and record the behaviours of the main frame and the central column, the image processing system using CCD cameras, LED markers and data acquisition PC was developed as a new technology.

According to the DSC data (see Fig. 9, b) its Tg is -32.2 °C.
A general picture of the phase transitions observed in the studied polymers is given by the data in table 4, which summarizes the results of the study of synthesized copolymers using DSC and TGA methods.
As follows from the TGA data (table 4), the studied polymers have a high thermal-oxidative stability: the values of the temperature resistance index τ5 lie above 350 oC.
The data are arranged as the mass fraction of imide blocks increases in the structure of copoly(urethane-imides).
According to the data in the table 6, it is possible to make general conclusions about the influence of the composition of mixed compositions on the characteristics of heat resistance of the studied mixed compositions.

In this review we therefore discuss the potential of graphene for electronic applications based on experimental data available to date.
Covering graphene with a gate insulator leads to mobility reduction.
While they clearly support theoretical predictions and show promise for graphene nanoribbon electronics, they also show an urgent need for further research in this field: Statistical data is obviously scarce and the discrepancies between theory and experiment have to be addressed.
Fig. 7: Summary of published graphene RF transistor data.

The external design for building energy efficiency mainly lies in the integrated design of sun shading, ventilation and lighting, in which the window shading has a significant effect on the building energy consumption reduction in summer[2].
Fig.8 Total solar radiation for a year and the External sun shading coefficient According to the comprehensive data, it is showed that "1 horizontal 18 °" and "2 horizontal 90 °" have the stronger sun shading effect.
Table 6 “1 horizontal 18°”--Shading conditions of PV sun-shading modules Month 1 2 3 4 5 6 7 8 9 10 11 12 758 Spacing - + + + ++ ++ ++ + + + - - 857 Spacing - +- + + ++ ++ ++ + + +- - - 1000 Spacing - - +- + ++ ++ ++ + +- - - - 1200 Spacing - - - + ++ ++ ++ + - - - - 1530 Spacing - - - +- ++- ++ ++- +- - - - - According the above data, it is known that when the ratio W/S of photovoltaic modules is more than or equal to 0.4 and less than 0.6, the “1 horizontal 18°” skin performs the best in three aspects.
Take Guangzhou for example, four types of specific building skin forms are proposed combining Guangzhou meteorological data and market investigation summary of photovoltaic products.

It occurs much more rapidly than molecular diffusion and acts as an excellent process for quickly reducing the concentrations of a species in river water, in cases where this is needed for rapid mixing during processing, or rapid pollutant or contaminant reduction for safety.
Arnold et al (1985) and Wood and Liang (1989) measured the concentration of a dye in compound channel and used the data to deduce the lateral mixing coefficient of solute.
With those data, Nokes and Hughes (1994) presented a three dimensional eigenfunction solution for solute dispersion of compound channel.
Figure 3 Turbulent fluctuations of salinity, suspended solids and velocities, and a variation of dimensionless mixing length with Ri, data from Teign and Great Ouse estuaries, (after West and Shiono, 1988) In an estuary secondary flows can be induced by the effect of lateral shear in the present of longitudinal density gradient producing a lateral density gradient postulated by Smith (1976).

Although HAZOP has been the subject of extensive research to incorporate it within computer automated toolkits – such as expert and knowledge based systems [13; 14; 34], data bases [23], and decision support systems [27; 28] – to the best of our knowledge, only 3 works [1; 4; 35] were interested in combining HAZOP studies with ontology based systems.
Properties are used to describe attributes of classes, and to describe relationships between classes/individuals and data values in order to describe specific requirements. 4) Creating restrictions.
The ISO15926 standard is related with the definition of conceptual data models for the representation of technical information of process plants.
This classification can rely on nature of decisions (i.e. avoidance, reduction, elimination or mitigation), on business tools (such as computer aided maintenance, computer aided quality control, etc.), or on decision support systems (such as planning, scheduling, optimization algorithms, etc.) that can be involved to take disruptions and risks into account.

The data of analysis points are extracted and analyzed after the sample is deformed by four passes.
The results are recorded in Table 6.To examine the effect rule of selected parameters, the mean S/N ratio for different levels of each factor are calculated according to the data in Table 6, and the results are listed in Table 7.
Influencing curves of each parameter on S/N ratio for Path A, B and C Obviously, the analysis data extracted along Path A is basically the most representative for the deformation characteristics of the whole sample so the parameter combination A3B3C3D2 is selected to be the optimum one.
The difference between the maximum and minimum decreases from 6.37 to 5.27, and the reduction is about 20 %.

To verify the improved constitutive equation for 2297 alloy, an analogy between the experimental and predicted true stress-true strain data were drawn in a wide range of strain, temperature and strain rate.
The specimens were immediately quenched in water and the reduction in height was 60% at the end of the isothermal compression test.
In order to evaluate the accuracy of the developed constitutive model with the compensation of strain at various processing conditions for 2297 alloy, an analogy between the friction corrected and predicted true stress-true strain data is carried out, as shown in Fig.10.
The formula is as follows: (14) Where and are friction corrected flow stress and predicted flow stress, respectively; and are the mean values of and ; N is the total number of data.

The objectives set by engineers at the University of Michigan were minimal reduction of the time which is needed to launch the production of a new product in the system, minimization of the costs associated with the design of the production system adapted to the production of a new products and finally, elimination the costs associated with excessive levels of system flexibility [7,8].
Although, the presented example is quite simple, a methodic approach which allows to whittle down the range of possibilities, and make logical decisions based on facts and data to find the optimal system configurations can be used for more complex systems.
(Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2015, Springer International Publishing, 2015, pp. 256-263, DOI: 10.1007/978-3-319-24834-9_31
(Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2015, Springer International Publishing, 2015, pp. 181-190.