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To achieve the goal, the proposed system must provide the following functions: 3D modeling, visualization, segmentation, bone reduction, fixation and data output.
Display of CT data.
The CT data is essentially a sequence of two-dimensional images, which can be represented as a set of volume data where a three-dimensional matrix recording the gray value of each pixel on the images is employed.
For example, the volume rendering technique can only show the surface data of the bony structure as well as its neighboring soft tissues from any section.
Accordingly, the display of 3D isosurfaces data and 2D images simultaneously enables one to catch more information from the CT data.

According to the survey's raw data, this paper not only calculates the energy levels of conventional coal-fired power plant in North China and an integrated gasification gas-steam combined cycle (IGCC) power plant, but also computes their carbon dioxide emissions.
According to these two plants produce energy consumption data, using the above method for calculating the integrated energy, greenhouse gas emissions, carbon intensity and carbon productivity.
Calculations and comparisons of these two sets of data in accordance with the same capacity and the same tariff case have been done.
The data of each index show in Table3.
Parameters of the decision method are determined by the calculation method of energy saving, greenhouse gases emissions, carbon productivity, the carbon intensity and the weight of each index bases on quantitative data.

Catalyst characterizations X-ray powder diffraction (XRD) data were taken Bruker D8 diffractometer equipped with CuKα(l=0.1541 nm) radiation operating at 40 kV and 40 mA for 2θ angles ranging from 1.25° to 80° with a step interval of 0.2°.
a: ML, b: OMS, c: Cu-ML, d:Cu-OMS The N2 isotherm adsorption-desorption data for ML, OMS, Cu-ML and Cu-OMS after calcined are displayed in Fig. 2.
However, commonly used method to obtain results of adsorption-desorption data and the downstream calculations may not very accurate about this type of pore structure.
The other reason is the bounded water in the interlayers, which maybe affect the desorption data, and lead to the adsorption-desorption isothermal cannot return.
So, the N2 isotherm adsorption-desorption data still meaningful at here.

It made the manifold learning algorithms that aims at seeking inner structure information in high dimensional data can be used in nonlinear dimensionality reduction for speech feature data, such as lower dimensional speech for visualization [2] and speech recognition [3].
data points equal to .
Step 2: partition training sample data: 50% for training, training data equals to ; 50% for testing, test data equals to .
Experiment: Don’t perform any dimensionality reduction on the extracted original 48D speech feature data, and does the emotion recognition experiment directly.
Dimensionality reduction for visualization of normal and pathological speech data.

Study on Preparation of Metal Sm by Metal Thermal Reduction Method Ping XUE School of electromechanical and architectural engineering, Jianghan University, Wuhan, Hubei, 430056 xueping20011982@163.com Keywords: Metal thermal reduction method; Metal Sm; Thermodynamic calculations; Direct yield Abstract: In this paper, thermodynamic calculations and reaction process for the production of metal Sm by metal thermal reduction method were analyzed.
The preparing method of metal Sm is mainly metal thermal reduction method by metal Lanthanum or Cerium [2].
According to relevant references, the data of Lanthanum and Cerium reducing reaction are as follows [2]: 2Sm2O3(s)+2La(l) →2Sm(g)+La2O3(s) ΔGT=102940-48.77T+8.314Tln (0.1/101325)2≤0 T≥2110.7K Sm2O3(s)+2Ce(l) →2Sm(g)+Ce2O3(s) ΔGT=97600-47.12T+8.314Tln (0.1/101325)2≤0 T≥2071.3.7K It can be seen from the above data that the thermodynamic conditions of the reaction can be carried out above the reaction temperature 1800℃.
Experimental results and discussion 1kg drying Sm2O3 powder is weighed and added with the reduction metal at the proportion of 1:1 (the reduction metals are the chips of the La-Ce mixed metal ingot after turning).
[2] E.B.Lv, X.S.Liu, Study on the factors of metal Sm by La and Ce thermal reduction method,J.Jiangxi.Nonferr.Metal. 4(1990) 9-13

The selective reduction was promoted by selecting the appropriate amount of modifier.
Reduction order was elucidated in this paper, Fe was reduced from the slag followed by P, Mn and Si and the reduction rate of Si could reach about 51%.
The metal phase was rich in Fe, Si, Mn and P as a result of the selective reduction.
Effect of Temperature on Selective Reduction.
The variations in the recovery rate of Si are shown in Fig.4; here the SiO2 30 mass% in the slag was indicated by diamonds, circles represent the data points resulting from the reduction of 40 mass% SiO2 and the triangles denotes the 50 mass% SiO2 in the slag.

OFDM can provide large data rates with sufficient robustness to radio channel impairments.
The interleaver rearranges input data such that consecutive data are spaced apart.
This interleaver produces K permuted frames of the input data sequence.
Data will be interleaving and then measure the PAPR and if it is large than the PAPRo (threshold value) the data will bass throw multi type of interleaving and select the interleaving block which gave minimum PAPR [7].
We used image signal as data source, proposed technique for PAPR reduction improvement the PSNR for the received image by 4.86 dB.

Soft Reduction of a Cast Ingot on the Incomplete Crystallization Stage Tatyana I.
Numerical and physical simulation on model samples can provide data for various aspects of metal forming, without resorting to time-consuming and costly full-scale tests.
It also provides a novel method for studying the process of soft reduction.
In the given geometry and pressure of 1 MPa, the reduction of the inner zone is 30% greater than the reduction of the solid part.
In the given geometry, the reduction of inner zone is 30% greater than the reduction of the solid part.

Energy saving and economic growth: Empirical Analysis Based on Panel Data Dongheng Hao1, a, Guozhu Li1,b and Dianru Wang1,c 1 School of economics and trade, Shijiazhuang university of economics, Shijiazhuang,050031,.China ahaodh@sjzue.edu.cn, bliguozhu@sjzue.edu.cn cwangdianru@126.com Keywords: Energy Saving, Economic Growth, Panel Data.
Abstract. we analyzed the relationship between energy conservation and economic using panel data. the reduction of energy consumption per unit of GDP and energy consumption per unit of industrial value-added will promote economic growth, however, lower electricity consumption per unit of GDP may inhibit economic growth.
Methods and variables When the sample time is short and the provinces situations are very different, panel data can combine time series and cross section, it can control the factors that are unobservable due to difference between provinces, there minimizing the errors of results.
Specifically, there are three main advantages for the panel data.
Because of the short time dimension and the large cross-section, the data of this study is a short panel.

Principal Component Analysis (PCA) represents a powerful tool for analyzing data by reducing the number of dimensions, without important loss of information and has been applied on datasets in all scientific domains [4].
On the other hand, PCA is known as an unsupervised dimensionality reduction technique which transfers the data linearly and projects original data to a new set of parameters called the factors, while retaining as much as possible of the variation present in the data set.
So the first step in the synthesis of data comparison is dimensionless processing to the indicator's data.
The inverse indicator of the power plant data is shown in Table.2.
In our case study, we used five thermal power plant data; by means of PCA, we have got only ten factors that concentrate more than 60% of the information provided by the original five thermal power plant.