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Nigeria’s Raw Material Development Research Council (RMDRC) and the Federal Institute of Industrial Research Oshodi (FIIRO) have published comprehensive data of basic ceramic raw materials as they occur at various geological locations in Nigeria in appreciable millions of tonnage by deposits that support experimental and mass production purposes.
Fig. 2: Visual sample of a old and new recipe after test-fired on clay tiles Data presentation and analysis This study surveyed relevant data on existing local indigenous glaze recipes and formulation methods in Nigeria.
The data were gathered from the research population samples, which include operational local potteries and ceramic enterprises, public tertiary institutions in Nigeria offering ceramic programmes, and locally available glaze materials.
Data collection with multi-choice questionnaire Classification and presentation of data To confirm the viability of collected recipes Viability of collected recipes using locally sourced raw materials: Kaolin, Feldspar, Flint, Whiting, Dolomite, Ball clay, Granite dust, Wood Ash, Rice husk ash, Bone ash from Edo, Osun, Ondo, Kogi and Kaduna States Construction of a glaze test kiln.
Preliminary glaze test with series of firing at 1200oC Analysis of test samples To analyze selected glaze materials in molecular or percentage form Percentage composition of the oxides contained in selected material samples- Auchi Ball clay, Auchi Dolomite, Auchi Feldspar, Atamora Granite, Calcined Bone ash Laboratory analysis of raw material samples using Atomic Absorption Spectrophotometer (AAS) and X-ray Fluorescence (XRF) Data presentation To examine glaze software application in developing new recipe samples using available local raw materials Developing a database of local material analysis.

Experimental Data The initial stage of this work is focused on a wafer workability issue.
Such data have compared to final value of warpage that in several cases exceed the workability value.
The experimental data plotted in Fig. 4B show the strong correlation between the warpage post thinning and the RMR parameter.
Even if the results appear to be robust the statistics data must be increased in order to strengthen the correlation.
The monitoring of RMR parameter is going ahead in order to increase the statistical data and strengthen the results obtained.

As current is proportional to the product of ns and mH, it is impossible to infer from this data how these individual parameters affect the current.
As temperature increases, the curves shift to the left, consistent with the ID-VG data of Fig.1.
The fits are shown by the solid lines in Fig. 2.The model fits the data reasonably well except for 423 K, where the discrepancy is possibly due to some mobile ions.
However, it is interesting to note that no evidence of such screening is observed here, possibly with the exception of the data for 77 K.
Arrhenius plot for mH for 123 K data was fitted with two separate models.

The comparison result suggests a very good correlation between experimental and predicted data.
It can learn the variety between the input and output viable, and then get the target data by memorization, association and extrapolation for its good nonlinear mapping ability.
ANN requires that the range of both input data and output data should be 0-1.
The method used in this study is: (5) where X is the original data, Xmin and Xmax is the minimum and maximum value of X, Xi is the normalized data.
Fig. 5 gives the comparison between predicted curves (include the data for training) and measured curves.

Our parameter calculation model is in good agreement with experimental data.
We have plotted the ratio C44/C44(77 K) at a different temperature and the ratio C’/C’(77K) function as the concentrations of Re to compare the data simulation by molecular dynamic (MD) calculations and data experiment. 2.
Fig. 2: Variation of elastic constant C44 for W-3% Re alloys obtained by simulation DM and data experiment.
· We have plotted of the constant elastic C44 vs. temperature for the W-3 at. % Re and W-10 at. % Re alloys is found to be in excellent agreement with the data experiment.
“Reduction, Sintering and Mechanical Properties of Rhenium-Tungsten Compounds.” 

It can meet the real-time visualization requirement of industrial CT data less than 1GB.
Moreover, considering the fast access of textile under CUDA frame, we further fix the projection data with two-dimensional textile.
We compare the speed performance of the proposed method based on GPU with the conventional method based on CPU under different projection data.
The used data is 3D ICT images of a tape, which consist of 192 slices with a size 512´512 and the total size is 192MB.
The rendering speed of the developed system is investigated with the same volume data as in Fig.5 and Fig.6.

They obtain about 28.1% weight reduction in blank holder component.
Finally, 54% volume reduction is obtained.
Approximately 24% mass reduction is obtained.
Moreover, according to CP data, Plastic deformations occurred only male and female non-plana die forms during forming process.
Although the volume reduction reaches 22%, there is no significant decrease in strength.

Fretting causes a considerable reduction in fatigue strength.
In recent years, many studies have used multiaxial fatigue criterion to establish correlations with fretting fatigue experimental data. 
This leads to a reduction in fatigue strength.

This paper calculated the development level of economy and environment in Chongqing with the relevant statistical data of Chongqing from 1997 to 2011, and analyzed the coordination degree of economy and environment.
However, AHP has subjectivity on the confirmation of the weight of the index and the result would easily lack fidelity, while PCA realizes the data dimension reduction through the method of projection, and transfers the multi-index into some representative comprehensive index on the base of losing few data, not only eliminates the collinearity between the index, but also makes full use of the index of the information provided, and ensures the reliability of the results.
Meanwhile, the Expert Evaluation Method is adopted to the indexes with partly data unavailably.
The Results Analysis According to the above analysis, using statistical data in Chongqing estimates of their level of economic development and environmental development, and analyzes the coupling coordination between them.
Conclusions This paper has taken the advantage of the relevant statistical data of Chongqing 1997-2011, calculated the development level of economy and environment in Chongqing, and analyzed the coordination degree between economy and environment.

The numerical simulation was performed using FLUENT, a commercial computational fluid dynamics (CFD) code, to compare simulation results to the test data.
The computations were executed repeatedly until the temperature profiles just before the change over are the same as the previous data, periodic steady state.
The data acquisition system recorded all sensor values.
Data were saved as data files for analysis.
Moreover, the model was validated with the experimental data.