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These films were annealed at 50 °C under vacuum overnight before thermal reduction.
Chemical reduction and thermal reduction methods are widely used to convert GO to RGO.
We interpret the data in terms of kinetic mechanisms involved in the thermal reduction of GO.
For characterization of the conversion and reaction rate of the thermal reduction quantitatively, we define a reduction yield.
From the response curve, we estimated the initial reduction response DR400/Dt of each data set at various heating temperatures, see Fig. 4.

Preparation of Graphene (1) Photochemical-thermal reduction.
X-ray diffraction (XRD) data were obtained using a Rigaku D/MAX2200 diffractometer featuring Cu Ka radiation filtered with Ni (λ= 0.15418 nm).
(a) and (b) are graphene oxide via modified Hummer method; (c) is Graphene prepared by photochemical-thermal reducing; (d) is Graphene prepared by High-temperature thermal reduction Thermal reduction (1) Photochemical-thermal reduction After illuminated in infrared lamp for 6h, nearly 130℃, the brown graphene oxide solid became black (Fig.1c), indicating that the removal of the absorbed water and the occurrence of the reduction reaction [11].
XRD pattern of graphene prepared by High-temperature thermal reduction Fig.5.
Photochemical-thermal reduction and high- temperature thermal reduction are used to treat the obtained graphene oxide.

The convolution algorithms calculate the convolution of experimental data sequence and coefficient data sequence.
According to signal processing theory, the essential of convolution algorithms is to calculate the product between the frequency spectra of experimental data sequence and coefficient data sequence.
Raw data are transformed into the wavelet domain by WT, and the information contained in the raw data can be represented by the wavelet coefficients.
If we actually perform this operation on a real digital signal, we wind up with twice as much data as we started with.
The interferogram data (with 15240 points) of samples were collected on a Fourier transform near infrared spectrometer (Bruker, VERTEX70).

The results show that rolling reduction ratio has significant influences on C2S2 procedure.
Table 1 lists the geometry, materials and simulation data for the simulation.
Table 1 Data for the numerical simulation Geometry data Central distance of each pair rollers, (mm) 80 Initial work-piece thickness, (mm) 4 Initial work-piece width, (mm) 20 Rolling reduction ratios 5 %, 10 %, 20 % Bending channel thickness, (mm) 3.8, 3.6, 3.2 Output channel cross-section (mm2) 4×20 Die channel angle, (°) 92.7 Die outer corner angle, (°) 0 Materials data Young’s modulus, (Gpa) Work-piece (5052Al) Rollers and others (H13) Poisson’s ratio, 68.9 206 Thermal expansion, (˚C-1) 0.33 0.3 Thermal conductivity, (N s-1/˚C) 2.2E-5 1.4E-5 Heat capacity, (N mm-2/˚C) 180.2 32 Emissivity, 2.433 3.588 Simulation data 0.7 0.5 Roller angular velocity, (rad/s) 0.1 Time step, (s) 0.3 Initial temperature, (°C) 20 Environmental temperature, (°C) 20 Friction factor, 0.7 (rollers), 0.03 (others) 5052Al was used as the work-piece material that was hypothesized as a plastic body.
It is important to note that, contrasting with the rolling reduction ratio of 5 %, the rolling reduction ratio of 10 % produced only very slight reduction in restoration ratio, while the rolling reduction ratio of 20 % produced a far larger reduction in restoration ratio.
Contrasting with the at the rolling reduction ratio of 5 %, the at the rolling reduction ratio of 10 % and 20 % is respectively 8.16 % and 8.32 % less.

And then, we deal with multi-degree reduction of NP curves by degree reduction of Bézier curve.
A parametric polynomial curve of degree in the DP form can be given by [3] (2) Where are called the DP control points of the curve , and are the NTP-DP polynomial basis defined by: in addition, if is even, and, if is odd, The degree reduction of parameterized curves is one of the most common operations in CAGD, because it reduces the amount of communicating data.
Recently, degree reduction approximation of the DP curves has been studied.
Since degree reduction algorithms of Bézier curves in different norm have been very mature, it is a feasible way to deal with degree reduction of DP curve by Bézier curves.
It is very obvious to use the mature Bézier degree reduction theory to deal with the DP degree reduction.

Reduction experiments for isothermal reduction were conducted in a horizontal electric furnace with molybdenum disilicide heating elements.
The elaboration of these statistical results provides different plots that can be used to analyze the data as illustrated in Figure 1 and 2.
Figure 3 shows 3D surface plots for the effect of reduction time and temperature on extent of reduction using 10 wt% catalysts.
At longer period of reduction, the energy provided is adequate to bring appreciable reduction of iron oxides.
Fig. 3: 3D surface plot of temperature and reduction time for extent of reduction at10 wt.% of catalyst.

It has conceived as a tool to conceptualize and analyze various types of data.
In Section 3, some new types of knowledge reduction, namely, -level distribution reduction and -level approximate reduction are proposed in set-valued information systems , moreover, properties and relationship between them are discussed.
That is to say is a distribution consistent reduction of.
In this paper, we have studied knowledge reduction of set-valued decision information systems based on tolerance relation, The distribution reduction is introduced.
Kumar: New techniques for data reduction in a database system for knowledge discovery applications.

Based on Jilin province and nine cities’ COD emissions data of 2010, this paper is an attempt to quantitatively analyze the area distribution patterns of two indices (COD emissions per capita and COD emissions per unit production value) as well as their causes.
COD emissions environment learning curve We calculated the ten thousand yuan GDP COD emissions and GDP per capita of nine cities which were based on economic data and environmental statistics in calendar year.
Use the data to do a scatter plot.
The COD emissions environment learning curve of Jilin province We build the COD emissions environment learning curve of Jilin province which was based on the data of ten thousand yuan GDP COD emissions and GDP per capita from 2000 to 2010(Figure 1).
These data were simulated by the COD emissions of environmental learning curve of Jilin province.

Energy consumption data, in the recent five years, are collected from more than 20 hotels in Shanghai and other eastern China regions.
These data exclude the development of non-star chain hotels.
All analytical data is shown in Table 1.
Data collection and assessment have been conducted in three-star hotels having been run for 15 to 20 years or so.
This data is a good hint for the relevant departments and enterprises on a good energy saving revelation, the reduction of power consumption and primary energy saving in hotels.

(2) Data preprocessing, feature extraction and data fusion.
The available sensor data and status monitoring data include the available online data and historical data off-line.
Appropriate data preprocessing methods include noise reduction, smoothing, imputing missing values and so on
(2) The data reduction method is applied to the research of PHM, and the method of extending the existing data to drive PHM.
PCA [2] is typical data reduction method