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Some methods have been investigated including reduction the particle size to nano scale and making porous nano TiO2.
Powder surface area was determined from N2 gas-adsorption data using Brunauer–Emmett–Teller technique (BET) with Belsorb II.
The average crystallite size of the synthesized samples was calculated from the XRD data according to the Scherrer's equation [11]: [1] where d is the crystallite size, k is a constant (0.9), λ is the wave-length of X-ray (CuKα), β is the half-peak width in radians and θ is the Bragg's diffraction angle in degree.

Most of them can solve in input and output space mapping learning by ANN, set the input and output data is
N S-type function has the following general form: (8) The the first S factor in product growth with the input vector , while the second factor reduction, and localized around .
Ontogenic neural networks and their applications to classification of medical data.

Regarding experimental data available in literatures, the SiC prepared under Si-rich conditions either by adding directly the extra Si content [6, 9-10] or by using high ΔT and low pressure [11], is preferable for the stabilization of the cubic polytype.
Even if there is no clear definition concerning the terms ‘Si-rich’, the experimental data [6, 9-11] share a common feature such as to create very high Si-rich atmosphere in front of the crystal.
It was suggested based on a classical nucleation theory that a reduction of the free energy difference between polytypes when decreasing the growth pressure plays a role in enhancement the formation probability of polytypes with lower surface energy [12].

Then, a set of data converters follows in order to digitize the acquired data.
The advances in the CMOS VLSI technology and the market demands for portable and mobile electronic equipment lead to increasing reductions on the power consumption.

Analysis of the results of calorimetric data allows to track the evolution of the structure of a.a. in accordance with the steps outlined above.
The major conformation for this is the endothermic reduction of the heat flow in calorimetric curves and the absence of exothermic processes in this temperature range.
According to the calorimetric data there is a significant increase of the heat absorbed during the time before the beginning of crystallization processes.

System Principle During working process, the software system to accomplish image data processing and analysis and feedback control.
Acquisition of the image is transformed into the actual contour image after proportional reduction, gray, threshold, solitary point filtering processing[4][] Yoshihiko Mochizuki, Akihiko Torii, Atsushi Imiya.
Least squares method in theory can obtain a given data set in the mean square error of the sense of absolute precision straight line, so as to reach a high precision.

The average crystallite size of the samples is derived from the X-ray Diffraction (XRD) data using the modified Scherrer equation that was came by developing the Scherrer formula.
The reduction in crystallite size in a vibratory mill in wet conditions was approximately 26% in all selected crystallographic planes.
Tomaszewski, The uncertainty in the grain size calculation from X-Ray diffraction data, Phase transitions, 86 (2013) 260-266 [5] P.

The substitution of Portland cement with DE at 30% resulted lower global warming potential and energy use as well as appreciably reduction air pollutant emissions [10].
From the data in the table, it can be judged that the optimum water-cement ratio was 0.65.
Fig 10 shows the compressive strength data sheets of cement mortar at a water-cement ratio of 0.65.

The morphological and hydrographic map of Chirchik and Akhangaran river basins According to the scheme of "Scheme of complex use and protection of water resources of the Syrdarya River Basin" (Syrdarya river basin Complex use and water recourses protection), as well as the data of the Kazakh branch of Intergovernmental hydroeconomic coordination committee’s Scientific research centre average annual water resources (Chirchik-Akhangaran-Keles irrigation district or CHAKID) are estimated at 9.32 km3, of which 8.67 km3 (93%) – surface water flow.
Topography of Chirchik-Akhangaran basin (DEM by GIS) The analysis of the collected data concerning gauging Chinaz in the estuary.
-development of measures to improve the management of waste waters Chirchik-Akhangaran irrigation district, including monitoring of volumes and the quality of these waters and carrying out calculations of water-salt balance in the large irrigation areas with a purpose of their sustainable use and reduction the load on the existing ecosystems and their disposal on the track of tailrace channels and others.

In analyzing system, the function of PCA is listed as followed: 1) Discover the structure hiding within the system data and find internal relations between the variables and simplify them.2) Classify samples of variables in the indicator axis space according to the value of indicators.
Count original materials, then original data matrix can be obtained.
In order to eliminate them, the data should be standardized to make every variable’s average value equal 1 and variance equal 0.
For this kind of question, PCA method based on SPSS is designed as follow: · Obtain the original data matrix through the actual investigation; · Create the appropriate variables and indicators in SPSS software and input the original data matrix; · Apply SPSS software to analyze the principal component for the original data matrix, and then obtain correlation matrix and its characteristic roots and eigenvectors; · Determine the number of principal components according to the cumulative contribution rate of the system requirements
Through analysis and investigation, data files could be obtained to analyze on SPSS and then analyzed in accordance with the following steps[4]: · The initial analysis: Click analyze →data reduction →factor…(Orderly click and open menu item to open factor dialog box), point out specify analysis variables and set the other options