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The results show that the formula which introduced reduction coefficient used in standard is favors of the security.
Building integrated photovoltaic power generation systems belong to new energy development, its advantage is little environmental pollution, energy saving, energy saving and emission reduction with the scientific development view.
Comparing the two kinds of calculation methods, it is known that the data using standard method to calculate the deflection and stress were big than that using the finite element method, the minimum difference between the two kinds of data was 5%, the maximum was 21%, and the difference increased with the adding ratio of deflection of glass and thickness [5]. 0 20 40 60 80 100 1 2 3 4 5 6 load（KPa) strain（MPa） Standard method Finite element method Figure 8 Two methods of calculating the stress and deflection contrast Conclusion The results showed that if the glass deflection is less 1 proportion of glass thickness there is a linear relation between stress and deflection.
The results show that the formula which introduced reduction coefficient used in standard is favors of the security.

The results showed that the developed model achieved an average error reduction of 40%, for the X and Y axes.
However, due to the limited travel of the Z-Axis and the size of the Renishaw interferometer optics, not all geometric errors were measured, which limited the application of the kinematic model to the error reduction in the X-Y plane.
The numerical data showed that the average position error for the X-axis was reduced from approx. 0.07mm to 0.04mm, and for the Y-axis from 0.133mm to 0.08mm.
The results of the cutting tests, i.e. combined axes movements, showed that the model provided a 40% reduction in the average position errors for the X and Y axes.

As the nano-SiO2 loadings are 7 and 9 phr, SEM images illustrate smoother surfaces, caused by the reduction in the flexibility of the plasticized PVC nanocomposites.
The data for all compounds are summarized in Table 1.
As nano-SiO2 loadings are 7 and 9 phr, the fractured surfaces of the nanocomposites appear to be less ductile and show smoother surfaces (Figs. 4(d) and (e)), caused by the reduction in flexibility of the plasticized PVC nanocomposites.
As nano-SiO2 loadings are over 5 phr (7 and 9 phr), SEM images show less ductile fractured surfaces, caused by the reduction in the flexibility of the plasticized PVC nanocomposites.

In order that the lateral comparison and analysis of the data of many cities and communities can be realized, the intelligent power consumption management platforms are considered to be constructed in the future which are in charge of receiving the data of different cities and intelligent communities and then storing and analyzing these data.
(2) Data Management.
The peak-valley price can be showed intuitively to the users through the data.
The data management contains data storage which means storing the collected data of intelligent power consumption master station in the data base and data analysis which means analyzing the users’ power consumption habits, the relationship between region load and users’ electrical load and the relationship between temperature and users electrical load.
The specific processes are operated as follows: first, the data are collected and stored into data base, and then the data of users’ present electricity consumption are sent on the intelligent interactive terminal by the analysis software so that the users can see the present electricity consumption in the house.

In terms of the measured data, vibration, acoustic, temperature and pressure are often selected to be monitored.
However, these and other previous researches have not changed the data presentation mode of the signals.
Although data visualization has been considered a powerful way to simplify complexity, it has not been reported that data visualization is used to machine health monitoring.
Then the data are transferred into the host computer and the real-time artistic graph is created by the graph production system.
The observer can assign the valuable machine state to the corresponding artistic graph and save them into the data base.

A linear interpolation method is adopted to map the data between the CPFE model of deformation and the single PF model of recrystallisation.
A linear interpolation method reported in [24] has been chosen to map the data, such as the number of activated slip systems, grain orientations and stored energy from the CPFE model to the PF model.
During the plane strain compression at room temperature, the top and bottom surfaces parallel to the RD-TD plane are deformed to different reductions.
The simulated deformation texture for the BCC metal compressed to a reduction of 50% is shown in Fig. 1(a) where the ideal position of the main texture components is indicated using different symbols.
(a) (b) Fig. 2 Stereographic {100} pole figures of the recrystallisation texture after different reductions: (a) 50% and (b) 80%.

Refinement was done on the XRD data obtained.
Resistivity experienced a reduction trend and Tp shifted to higher temperature as the sintering temperature increased.
The XRD data was further analyzed by Rietvald refinement.
The grain growth promotion from LS650 to LS950 led to a reduction in grain boundaries, which act as magnetic disorder layers, and thus enhanced the ferromagnetic behavior of the samples [14].

Fabrication of PMMA/Ag Core-shell Nanostructures with Two Steps Zhihua Chen1, 2, 3,a, Zheng Wu 1,b ,Jianjun Bao1, 4,c, Gaoqing (Max) Lu 1, 2,d, Qiqing Zhang 3,e , Lianzhou Wang1, 2,f , Xianfang Zhu 1, 2, g× 1 China-Australia Joint Laboratory for Functional Nanomaterials (Originally Laboratory of Low Dimensional Nanostructure) and Department of Physics, Xiamen University, Xiamen, 361005, China 2 ARC Centre of Excellence for Functional Nanomaterials, University of Queensland, St Lucia, Brisbane, Qld 4072, Australia 3 Research Centre for Biomedical Engineering, Xiamen University, Xiamen, 361005, China 4 State Key Laboratory of Polymer Materials Science and Engineering, Sichuan University, Chengdu 610065, China a chenzhihua1010@163.com, b2WZ2@163.com,c jjbao2000@163.com, dmaxlu@uq.edu.au, e zhangqiq@xmu.edu.cn, f l.wang@uq.edu.au, gzhux@xmu.edu.cn, x corresponding author Keywords: PMMA/Ag core-shell nanostructure, particle surface treatment, Ag reduction
The procedure includes an improved particle surface treatment and an improved, subsequent Ag reduction reaction strategy.
From the measured data, the average diameter (davg) of particle(nm) and coefficient of variation(CV) of the prepared samples is analyzed. davg and CV are respectively defined as: （1） and , （2） where N is the total number of particle, di is the diameter of individual particle(nm), CV stands for the coefficient of variation.

The molecular weight data of the polymer is summarized in Table 1.
The UV-Visible absorption spectrum of the polymer was recorded both in solution and in thin film and the corresponding spectral data are summarized in Table 1.
Electrochemical data of the polymer P is summarized in Table 2.
When the polymer was swept cathodically, it showed a reduction peak at -1.24 V (Fig. 5) with onset reduction potential at -0.78 V.
Fig. 5, Oxidation and reduction cyclic voltammetry waves of the polymer P.

In the application process of wireless sensor network, LEACH protocol solves the problem of data fusion well, and reduces data exchanges between nodes and bases.
Based on the research, this paper proposes an advanced LEACH protocol, which is fused by the data of cluster head, and each time when transmits data to the neighbor shortest cluster head, this protocol gets reduction in the aspects of theoretical existing and energy consumption, and improvement in using efficiency.
Compared with the planar routing, the cluster structure through data fusion, can eliminate redundant data, reduce network traffic, effectively save energy, and prolong the network survival time.
The node distribution is very close, and the data collected by the neighboring notes have high similarity, and there are a large amount of redundant information and it requires that each node should have the function of data fusion.
[4] Marten Ditzel, Koen Langendoen.D3: Data-centric Data Dissemination in Wireless Sensor Networks.