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In this paper, we put forward a field testing of the modified scrubber-modified continuous miner demonstrated significant improvements in visibility and dust and quartz reduction, as compared to what was achieved with the current scrubber-current continuous miner dust control system.
Figure.1: Vector plot of velocities along mid-plane level of Model Results To validate the predictions of Model, the end of the line-curtain volumetric air flow data was collected for several cuts in the field representing the modeled cut.

The average data based on multi-parallel tests was used to reduce the error.
According to the thermodynamic datas, Fe is more prone to be oxidized than Sn and Pb.
The data according to EDS analysis showed the amount of surface phosphorous is more than 2000 times as the adding content.
Kim: Solderability Assessment via Sequential Electrochemical Reduction Analysis.
Chapter 10 .(2001), p. 154 [10] Y.Dalun, Thermodynamic Data Handbook of Practical inorganic.

However OLS can lead to over-fitting of the model to training data and produce worse results using test data.
Training data.
Test data.
Projected data.
PLS model must be trained using selected data.

In the proposed method all of the nodes are able to appear as cluster heads, in other words each node decides whether to act as a cluster head and aggregate data or to route the incoming data to a neighbor better suited for this role.
And finally, the cluster heads must efficiently route data to the base station.
It means that it will send the data to a neighbor with the highest value.
Node A is no longer able to send its data to the cluster head and needs to find a new solution.
Figure 8 shows network’s lifetime in each data collection rounds.

The data was analyzed using Igor SANS data analysis from NIST [20].
The SAXS data of insulin at pH 2 in the absence of zinc ions.
The SAXS data of insulin at pH 2 in the presence of zinc ions.
This report coincides with the SAXS data in this work.
Kline, Reduction and analysis of SANS and USANS data using IGOR Pro, J.

According to the characteristics and priorities of different areas, the different models of design are built and the different means of energy conservation and emission reduction are adopted in this paper.
It should create a comfortable environment ( pleasant temperature, humidity, clean air, good light and sound surroundings and long-acting flexible classroom and dormitory, etc.), and protect the surrounding environment of the campus--natural environment( obtain less from the natural and reduce the negative influence to the environment ), including land saving, the selection of recycling energy and materials, the replacement of non-renewable resources by renewable resources, reducing emissions and properly handling hazardous waste(solid, waste, sewage, harmful gas) and the reduction of light pollution and noise pollution, etc.
Henan University of Technology's dormitory The design of intelligent building management system has been adopt in this area, including premises distribution system, central air conditioning equipment, constant-pressure water supply equipment, multi-storey building water-saving system, intelligent control system of elevator, automatic fire alarm and ganged fire control system, intercom access and indoor security system, campus e-card system, closed-circuit TV monitoring system, prevention system, three-meter long-distance automatic measuring system, burglar alarm system, energy-saving intelligent electric control system (depending on the feature of existing power equipment such as lighting and computer at school, taking a full use of ZigBee, a rising bi-directional wireless communication network technology which is of short space, low complicacy, low power consumption, low data rate and low cost, develop a wireless control network of energy-saving intelligent electric control system),

In order to find out the variation in slope stability when the reservoir water level changes at different rate, the stability calculation model was established adopting the Seep module and Slope module of Geoscience software GeoStudio, and calibrated with a long sequence of real-time monitoring data, based on the landslide survey data and test data.
Besides, most of the previous studies have concentrated on the numerical simulation and general mechanic calculation means with a model that is not refined enough and is calibrated with macro phenomena or little monitoring data lack of the long-term continuous multi-monitoring data.
Therefore, this paper is conducted by collecting various parameters more accurately, establishing a relatively refined model and adopting the multiple real-time continuous monitoring data as the basis for model calibration to ensure the overall accuracy of the simulation results and provide the effective data to further study on the impact of seepage field change on the landslide stability.
Based on the previous survey date and test data, the Seep model was built with the Seep module in the geosicence software GeoStudio and calibrated with long sequences of real-time monitoring data of water content and pore water pressure.
Fig.4 Contrasting pattern of the SF_LJP_1 simulation result and monitoring data Fig.5 Contrasting pattern of the VW_LJP_1 simulation result and monitoring data (a) Soil-water characteristic curve (b) Seepage curve Fig.6 The seepage curve and soil-water characteristic curve As demonstrated in Fig.4 and Fig.5, the simulation results of the water content and pore water pressure are relatively close to monitoring data in terms of the overall trend and the individual value in the long time, indicating that the model is calibrated quite well and is reliable to do the stability simulation under different conditions.

The surface recrystallization of the alloy happens with the processing of grit blasting after the annealing at 1100ºC for 4 hours, and there is a reduction of the creep rupture life at the conditions as mentioned above.
In comparison to the data of the specimens with no recrystallization, the data of the creep rupture life of the alloy above are listed in Table 3.
Table 3 Effects of surface recrystallization on the creep rupture life of DD6 alloy [hours] Annealing temperature/ annealing time Process method Depth of the recrystallization [mm] 980ºC/250MPa 1070ºC/140MPa No annealing Without processing 0 274.4 341.1 1100oC/4hours Water grit blasting 0 251.5 342.9 Grit blasting 8.6 236.3 256.1 Mechanically polishing 10 236.0 192.7 1200oC/4hours Water grit blasting 12.7 203.8 205.0 Grit blasting 13 187.1 196.9 Mechanically polishing 14.5 178.4 197.5 * Each datum in Table 3 is the mean value of two data.

Detailed analysis of the frequency dependence of real part of magnetic permeability of this sample, presented in Fig. 1, has found out reduction of value Re(μ) with buildup of frequency below some critical temperature Tg which depends on the frequency.
Fitting function (1) is plotted in Fig. 3b for parameters ρ0 = 10−8Ohm*cm, band width W = 1.2 eV and satisfactorily agree with experimental data.
Using results for and we fit formula (1) to experimental data, that were determined as difference dρ = ρ1ex–ρ2fit (Fig. 3a).

The definition of material properties data.As is shown below: Tab.1 Parameters of material Material Modulus of elasticity E( P a) Poisson's ratio Density(kg / m3) 06Cr19Ni10 2.06e11 0.3 7.93e3 The definition of beam cross-section.Two kinds of angle steel are welded together into the wave-frame,according to the grouping method,define the cross-sections and groups as below: Tab.2 The cross-section parameters of steel and groups Group Section GroupⅠ GroupⅡ GroupⅢ GroupⅣ GroupⅤ NO.of section 1 1 2 2 2 Size of section（mm） 100x100x6 100x100x6 90x90x6 90x90x6 90x90x6 NO.of section 3 4 3 4 5 Size of section（mm） 50x50x4 50x50x3 50x50x4 50x50x3 50x50x5 Total mass（kg） 367.349 363.521 331.107 327.279 334.852 The geometric model and the finite element model.Creat keypoints on the intersection point of angle steels.Build lines according to the structure of wave-frame and draw the geometric model,as shown in Fig.1.Then distribute attribution to lines based on the actual situation,Sets the
Tab.4 Maximum deformation and stress of each group Group Data GroupⅠ GroupⅡ GroupⅢ GroupⅣ GroupⅤ Maximum stress（Mpa） 48.1 48.4 59.6 60.0 59.3 Maximum deformation（mm） 0.786 1.161 0.986 1.282 0.984 Mass（kg） 367.349 363.521 331.107 327.279 334.852 According to Tab.4,GroupⅢ is chosen as the optimization result,with a weight of 331.107kg and the reduction percentage is 9.85%.The section size of the angle steel needs to meet the design specification and technical standard in the industry,the optimization is Subject to continue.