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Fuzzy C-means clustering algorithm In the fuzzy C-means clustering method, each data belongs to a cluster center according to certain fuzzy membership functions.
Objective function J is calculated as[8]: (2) Where, is the distance between the two vectorsand , is the k th samples of data, is the i th clustering prototype, i = 1，2,…, c； k = 1, 2,…, n, is weighting exponent, the objective function J is the square sum of the weighted distance between a variety of data and the corresponding cluster center.
The fault diagnosis system for bearings and data collection The developed fault diagnosis system for rolling element bearings is composed of sensors, signal treatment modules and a micro-computer.
The data converting device is a ADVANTECH PCI-1711 A/D board。
Each type of bearing has 10 groups of repeatedly collected data and each group contains 10000 sampling points.

Data reduction.
Numerical data reduction.
Data given by the simulation software isn’t in a form that permits us to extract directly the convection coefficient and the friction coefficient.
In order to extract the needed data calculation must be done using the data given in the form of temperatures, mass flow and pressures.
Fig 7 Model deviation from experiment a. pressure drop; b. friction coefficient Results and discussions After finishing the simulations and making the necessary data reduction we have obtained the Colburn number and friction coefficient for all the studied designs, the results are shown in graphical form below: Fig 8 Results: a.

This paper proposed the snow disaster risk assessment model in pastoral areas based on the data of environment & disaster monitoring and predicting small satellite.
After the massive experiment monitors and the contrast confirmation with the disaster situation data in National Disaster Reduction Center, the model forecasting result and the disaster situation statistical data have good uniformity from the space position and the risk degree.
The automatic extraction result of the snow coverage area is modified artificially combining the experience and knowledge of experts and other supplementary data.
The data of environment & disaster monitoring and predicting small satellite and Moderate Resolution Imaging Spectroradiometer (MODIS) data have a lot of similarities considering revisit period and band setting, etc, in addition to resolution, so the use of the data of environment & disaster monitoring and predicting small satellite for snow depth inversion can be based on the inversion method of MODIS data.
The process of snow disaster risk assessment validation The results of this study indicate that the assessment outcome from January to February coincides well with the statistical data in terms of space location and risk level.

The oxidation peak and the reduction peak respectively to the positive and negative direction, △U between oxidation potential and reduction potential increases (Figure 3).
According to Equation: In the experiment A=0.3cm2，n=2，CLi* is calculated as follows: According to the Randles Sevcik equation The diffusion coefficients of the Li ions were obtained for substitution parameters：4.302×10-5cm2/s，2.44×10-5cm2/s，which shows the diffusion coefficients of the oxidation and reduction reaction was basically in the same magnitude.
But in the high-speed scanning, the reduction peak of each cycle of the area is larger than the oxidation peak area.
And in the slow scan, the reduction ratio of the peak area of the peaks and the oxidation is nearly equal, indicates that when a small current discharge Li0.95Na0.05Ti2(PO4)3/C material having good reversible deintercalation of lithium.
The data were obtained at a current density of 0.2mA/cm2 over the potential range0.3~1.6V.Evdently,discharge capacity of two anode materials were reduced with cycles, but Li0.95Na0.05Ti2(PO4)3/C material capacity fading slowly than Li0.95Na0.05Ti2(PO4)3.

The data generated through displacement sensor and tension sensor was also recorded by PS-08-4 multichannel potentiostat.
Both the oxidizing reaction and reduction reaction of H+ was restrained.
When oxygen in the thin electrolytes film is abundant, the cathodic process of electrochemical reaction is the reduction of oxygen.
The corrosion proceeds as reaction (1) and (2) Fe - 2e→ Fe2+ (1) O2 + 2H2O + 4e→ 4OH- (2) The reduction of O2 made Fe2+ be further oxidized as following reaction 4Fe2+ + O2 + 6H2O→ 4FeOOH + 8H+ (3) In addition to above reactions, the hydrolysis reactions of Fe2+ could occur because of existence of Cl- Fe2+ + H2O→ FeOH+ + H+ (4) Fe2+ + 2H2O→ Fe(OH)2 + 2H+ (5) The proceeding of reaction (3)——(5) made pH decrease and facilitate H+ reduction.
The reduction reaction of H+ was restrained applied with anodic potential or cathodic potential.

Table 1: Comparison of the results before and after optimization Volume/ Maximum deformation /mm Maximum stress/MPa Average displacement of all nodes on the mold installation plane /mm Before optimization 0.05456 0.225 178.2 0.11 After optimization 0.05083 0.179 179.7 0.096 Changes in the proportion Reduction of 6.8% Reduction of 20.4% Increase of 0.8% Reduction of 12.7% Comparison of the results in Table 1 shows the maximum deformation of the board is reduced by 20.4%, volume reduction is 6.8%, and the average displacement of all nodes on the mold installation plane is reduced by 12.7%, while the maximum stress increases only 0.8%, the optimization effect is obvious.
Conclusions It can be known through the comparison of the results, the topology optimization goal method based on NX8.0 realized the goals of the volume reduction, increase in stiffness, unchanged strength, at the same time as the modeling, finite element analysis and optimization design are conducted in the same software, realizing the seamless connection of CAD/CAE, ensuring the unity of the data, and improving the editability of the model.

The technical data from the producer and calculation is shown by Table.1[2][3][4][5] Table 1 The technical parameters of the transmission system i 1 2 3 Mass mi (Kg) 10.175 13.535 20.76 Stiffness of translation motion Ki (N/m) 450*106 263.75*106 490*106 Damp coefficient of translation motion Ci(N*s/m) 0.01 0.025 0.03 Mass moment of inertia Ji(Kg*m2) 16.3*10-4 417.1*10-6 16.9*110-2 Torsion Stiffness KTi (Nm/rad) 27000 20177 - Torsion damp coefficient CTi (N*m*s) 0.03 0.02 - Handling constraints of mechanical transmission system for CNC macine tool with FEM under circumstance ANSYS What is often adopted in FEM simulation with ANSYS is imposing constraint equations for the interconnection of bodies; a general approach by letting them have nodal points in common can be adopted to reflect the physical relationship of permanent contact of elements.
Reduction and Discretization of Dynamic equation of the mechanical transmission system for five-axis CNC machine tool The Finite Element Method (FEM) as a common spatial discretization method [8][9] is deduced from the Partial Differential Equation (PDE) and describes the dynamics of the elastic body is transformed into a linear second order Ordinary Differential Equation (ODE) of the form (1) Where M, D, K is the system matrices (mass-, damping, and stiffness matrix, respectively), the load vector and the unknown state vector with n Degrees of Freedom (DoF) respectively.
In order to solve this problem the general concept of model reduction is to find a low dimension subspace with m<reduction methods are applied originally to design for such systems .
Thus, structure preserving model reduction is considered.
The reduction’s effectiveness and reliability depends on the size of .

The node only can transmit its data when the channel is idle.
The second technique allows a slave, when polled, to send directly acyclic data to the master.
When acyclic data are generated, it allows a slave to immediately try to send data to the master.
This method breaks the transmission data into three categories, namely non-periodic real-time data, periodic real-time data and non-real-time data.
They have different priorities, competing for the channel by different way: non-periodic real-time data that has the highest priority enters the maximal priorities queue waiting for dispatch, using RTS/CTS infor- mation exchange mechanism; while periodic real-time data and non-real-time data use CSMA/CA.

Data mining research has made much effort to apply various mining algorithms efficiently on large databases.
This theory has been successfully applied to many fields, for example machine learning, data mining, data analysis, medicine, cognitive science, and expert systems[8,9,11,12,14].
[3] Grabmeier J., Rudolph A., Techniques of cluster algorithms in data mining[J].
Data Mining and Knowledge Discovery, 2002 6(4):303-360
Discriminative probabilistic models for relational data.

However, recent literature surveys has indicated that the information and experimental data, regarding mechanical and thermal properties of wood/PLA composites are still rare, likely due to difficulties in processing which are related to fiber-polymer incompatibilities and low melt strength of PLA [1-2].
The percent reduction in term of of bacteria colony-forming-units (CFU) was calculated using Eq. 1: (1) where: R is the decreasing of bacteria (%), A is the average amount of bacterial colonies from composites without triclosan for a given contact time (CFU/ml), and B is the average amount of bacterial colonies from composites with triclosan for a given contact time (CFU/ml) Characterizations Differential scanning calorimetry (DSC; DSC822, Mettler-Toledo, USA) was used to observe the physical and thermal properties of PLA, triclosan, wood flour and PLA composites with triclosan and wood.
Percent bacteria reductions for PLA and wood flour/PLA composites with triclosan loadings of 0.5–1.5%wt for different contact times Materials Contact time (min.)
Percent bacteria reduction (%) 0.5% Tricolsan 1.0% Tricolsan 1.5% Tricolsan PLA 60 14.86 9.46 17.57 120 53.16 63.16 65.26 180 62.95 63.86 74.11 240 74.92 78.81 83.40 5%WF/PLA 60 10.77 24.62 32.31 120 49.58 77.73 87.39 180 45.74 81.91 83.69 240 54.95 88.16 91.65 10%WF/PLA 60 21.67 48.33 40.00 120 63.27 74.83 86.39 180 64.20 82.72 96.71 240 63.68 88.05 96.78 Antibacterial performances The percent bacteria reductions of PLA and wood/PLA composites are given in Table 1.
It was observed that, for all tested specimens and tested conditions, when triclosan contents and contact time were increased the percent bacteria reductions also increased.