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In previous researches [1] I have investigated the feed rate influence on surface roughness and manufacturing time reduction.
The final results will be used as data for future research.
As to the productivity related to surface roughness, according to obtained data from the experiment, we found that the best ratio of these two factors is to the cutting regime: cutting speed at 530 m/min, feed per tooth at 0.14 mm/tooth and cutting depth at 4 mm, resulting a surface roughness of 0.212 μm.

On the basis of the functions of this evaluation system, the main framework of Data Envelopment Analysis (DEA) for the system of evaluating efficiency is also suggested, which is accordant to features of data of accounting in chemical enterprises.
The financial data used in this system is the information about the working of safety resources in chemical enterprises.
The basic unit of Data Envelopment Analysis is Decision-Making Units (DMUs) [4].
The necessary data for method of DEA comes from the financial data chose carefully from accounting information.
With the model (4) of , the availability of safety resources supplied in every chemical enterprises can be evaluated on the basis of accounting input data and output data in one enterprise, and the range of economic risks of safety resources invested in chemical enterprises also be confirmed.

Load versus crack mouth opening displacement diagrams were recorded and (after data filtering and appropriate modifications) subsequently evaluated using the Double-K fracture model.
The measured data were then filtered and appropriately modified at the Faculty of Civil Engineering, Brno University of Technology (BUT), and subsequently evaluated in detail using the Double-K fracture model.
GTDiPS software [1] was used to conduct data filtering and make appropriate modifications to the diagrams (elimination of data point duplication and reduction of the number of measured points).
In addition to the aforementioned specimen dimensions and notch depth, other input data for the Double-K fracture model was taken from the above-mentioned edited Pv–CMOD diagrams.

The result obtained show that the proposed technique has an acceptable performance to simulate the data and voltage dependent load models have a significant effect on total losses of a distribution system consequently will affect the cost of the system.
Problem Formulation The overall efficiency of power delivery in the distribution system could be improved with the minimum loss reduction.
The data were rank and sort based on the objective function set in equation (4).
Based on the ranking data, the best ‘n’ population was selected as an initial location of ‘n’ numbers of fireflies.

It includes domain that confirms how to act,any data to be returned and domain for checking error.Slave device will create message and send it as responded message,when there are data errors for slave device to receive messages or slave device can not execute the command that primary device sends.
Theory Introduction Remote Transmit Manage Unit uses 32 bit ARM chip and uCOS operation system(real time operation system).It unites many technologies together, such as Ethernet communication,read analogue input,read analogue output,switch input,switch output,wireless communication and so on;it is a highly intergrated office terminal that is specially designed for data acquisition,data storage,data control and long-distance communication in industrial process;it has the capacity of three-phase alternating sampling, uses special three-phase multifunctional chip for calculation, highlights precision energy accumulation and  measurement precision and meets requirements of general oil field for detailed management, energy-saving and emission-reduction.
Start Address Function T1-T2-T3-T4 8bit 8bit Data Crc End N×8 bit 16bit T1-T2-T3-T4 Fig. 1 Modbus RTU Frame Format B.
In fact,during the process of operation we will probably meet a lot of troubles,for example, data encode,data compression,the design of new interface and so on.
[3] Steve Mackay,Edwin Wright,Deon Reynders,John Park.Practical Industrial Data Networks: Design,Installation and Troubleshooting.

The method gets the whole measurement data through obtaining three-dimensional coordinates of artificial marked points distributed on measured object and combining measured point cloud data using these coordinate data.
Fig. 2 shows the obtained point cloud data.
Processing Point Cloud Data of Wind Turbine Blade.
The abnormal data in measured data will be adverse for blade modeling.
The purpose of data pretreatment is to get rid of singular points and noise points of measured data and simplify the data.

The depth reduction and variation of groundwater under different design schemes for pumping rate were argued by contrast analysis of the calculated results.
All kinds of budget data and dynamic water level data were provided by Shandong geological environment monitoring station.
The depth reduction and variation of groundwater under different design schemes for pumping rate were argued by contrast analysis of the calculated results.

The research provide a set of data elucidate that corrosion product developed on carbon steel cannot provide corrosion protection on carbon steel, however, using green inhibitor in high concentrations which is purely not harmful to environment could prevent corrosion attack on carbon steel.
Introduction Corrosion can be determined as the deterioration of materials by chemical interaction with the environment and results with reduction in metal thickness leads to a loss of mechanical strength and structural failure or damage.
Table 1: The electrochemistry data for carbon steel in inhibitor Inhibitor (%) Corrosion rate (mm/yr) Ecorr (mV) Icorr [µA] Rp (ohm) Inhibitor Efficiency (%) 0 0.19 -395.20 0.013 882.658 - 5 0.16 -0.67 0.010 783.216 19.5 10 0.34 -650.09 0.023 613.585 72.2 15 0.33 -650.50 0.022 361.967 65.8 20 0.28 -635.48 0.018 535.512 40.5 25 0.29 -637.07 0.020 143.072 49.6 Fig. 3: Corrosion rate at increasing inhibitor’s concentration Fig. 2: Tafel plots of carbon steel in 3.5% NaCl with and without green inhibitor Effect of Immersion Time.

For efficient acquisition of data at each exposure site, test specimens were set at angles of 0°, 45°, and 90° against the ground surface and, for the 0° and 45° angle settings, data acquisition was performed for the skyward- and groundward-facing surfaces.
The solid line refers to the regression relationship taking into account all the data plots.
Data points for the groundward surface at an inclination angle of 0° for test specimens at the University of the Ryukyus and Kyushu University and those for the skyward surface at the University of the Ryukyus, Kyushu University, and Kyoda are also plotted in Fig.5 as the reference data.
The regression line is in good agreement with the data plots.
Fig.4　Conversion method for reduction of ACM output during a period of rainfall.

The variogram of image reflects the randomness and structuredness of image data.
The range of variogram describes spatial scope of image data.
Apparently image noise data has strong randomness but the influenced scope of data space is small.
Conversely, image edge has strong structuredness but the influenced scope of data space is large.
For image data, range is small in strong noise area but large in scenery area.