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Enlarging the density of a fluid results in a significant reduction in the intensity of the detected gamma scattering.
Especially in order to describe a sensor or probe model design, performance of inspection modelling, and interpretation of experimental data [5].
Amir Hossein Fegghi for the graph data.

However, it was difficult to simulate fracture process because there was little data on strength of green compact.
Ikegami et al. investigated the reduction of specific surface area at relative low temperature [10].
Specific surface area reduces as firing temperature increases, and the reduction of specific surface area is represented as dt RT Q ASdS m      −=∆∆ − exp0 1 (4) where m is a constant characterized by the model of surface area reduction, Q is an activation energy, R is gas constant, T is temperature, t is a firing time and A0 is a constant.

DEMATEL is a multi criteria decision making tool which has ability to convert qualitative data into quantitative analysis.
Hence, the benefit of a successful green-designed product is not only to meet environmental objectives such as resource and energy conservation and environmental burden reduction but also to take into account cost effectiveness, market demand, and multi-functionality requirements.
Moreover, life-cycle analysis is important in the green design concept that was used to evaluate the environmental and resource-related products (Srivastava, 2007; Fortes, 2009). 2.3 Green purchasing (GP): By unifying the green principle into purchasing, corporations can provide design specifications to suppliers that include environmental requirements for green purchased items (Hu and Hsu, 2010) and environmental purchasing is a purchasing behaviour in activities that include reduction, reuse, and recycling of materials and it is becoming an essential element of green supply chain management.
Green purchasing addresses issues such as waste reduction, environmental material substitution, and hazardous material minimization; thus, firms have increasingly managed suppliers’ environmental performance to assure that the materials purchased are environmental friendly. 2.4 Cross functional teams to minimize (CF) environmental impact: Employees from each department should come together for brainstorming to give their views about environmental strategies.

The current, voltage, temperature and displacement data were all collected by the real-time acquisition system.
This indicates that for the samples sintered at temperatures below 1800 °C, the reduction of open porosity contributed mostly to densification.
However, at higher temperatures, the reduction of closed porosity plays a major role in densification.
The reduction of closed porosity is attributed to grain-boundary diffusion and grain-boundary migration, which are enhanced under the presence of an electrical field [9].

After annealing in O2 at 500 °C the structure characterized by the presence of both anatase and rutile phases is observed in the Raman spectra and confirmed by the XRD data.
Introduction Recently, the photo-reduction of CO2 to hydrocarbons represents an extensively studied subject due to the expected positive effect on the exhaust emissions.
Similarly to the Raman data the strong anatase peaks appear in the spectrum of sample deposited at elevated pressure of 1.2 Pa, while the rutile peaks dominate for samples prepared at 0.16 Pa.
The SEM image of the sample deposited at 0.46 Pa (a), and EDX line scan of Ti by cross-section of the sample (b) From the data in Fig. 6b the film thickness within the range of 0.61-1.24 μm was obtained.
The pressure dependence was concluded from coincidence of the μ-Raman and XRD spectral data.

Not all data and attributes are suitable for data mining.
The system must reduce noise, convert data, firstly.
In: Proc of 21th Int'l Conf on Very Large Data Bases.
In: Proc of the 14th Int’l Conf on Data Engineering.
Sun, in: Principle and Algorithm of Data Mining.

The ANOVA results for S/N ratio and SR raw data of corresponding factors are presented in Table 5.
In addition to that, the response value for factor level of raw data (means) is summarized in Table 6.
Table 5: Analysis of variance results for S/N data and raw data of electrode surface roughness Factors dof ANOVA for S/N data ANOVA for raw data Seq.
The ANOVA for S/N data and raw data for SR (Ra) value were performed to classify the significant parameters and to measure its effect on the response.
A set of optimal combination of EDM input process parameters (A1B1C1D2E2F1G1H3) is obtained from the response Table 7 (S/N data).

In n-type semiconductor (figure 1a) the oxidation and reduction take place at the semiconductor anode and counter electrode (eg.
In electrochemical study, the energy level of the material is referred to the hydrogen reduction potential (H+/H2).
Therefore, a bias potential is required to allow for the reduction reaction.
In fact, from IPCE data, the researchers can estimate the STH of the system but only in zero bias potential.
It is not a valid estimation of STH if the data is measured under bias potential.

Due to the various index of different dimensional unit, and there exists certain correlation index directly, so before the evaluation must standardize the original data, to eliminate the influence of different dimension of evaluation results.
Data from the Shanxi statistics yearbook 2013, through direct acquisition or indirectly calculated.
The basic principle of factor analysis method Factor Analysis (Factor Analysis) is to select a few variables from the multiple variables of a dimension reduction method of multivariate statistical Analysis.
Standardize the original data .Using conventional Z-Score method for data normalization, standardization of data obtained by using SPSS software.
In addition, significant probability the Bartlett sphere test statistic value is 0, which shows the correlation between the group of data, is suitable for factor analysis.

[15] proposes a framework for mHealth data security on Android systems.
This is done using a system that marks the sensitive data.
The framework taints the data when it is stored and then monitors the data flows in the device.
As the complexity of the data processed by the applications has increased, the amount of storage required to process this data needs to increase too, as seen in[25].
[7] ITU: Key statistical highlights: ITU data release June 2012.