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And then the team inputs the data and analysis of questionnaires indicators.
Manpower, data collection and the environment are the most important.
According to survey data the sigma level has been improved.
It is a method customer-oriented, driven based on data and fact, focus on process improvement and with predictable and positive.
References [1] Saura I G, France s D S, ContríG D, Logis-tics Service Quality: A Newway to Loyalty, Industrial Man-agement&Data Systems, 2008, pp.650–668

System Design Zig-bee technology Zig-bee technology is a short-range, low-complexity, low-power, low-data-rate, low-cost wireless communication technology, using the 2.4 GHz band, using frequency-hopping technology, in line with the IEEE802.15.4 protocol.
Web-servers implementation The web-servers works is specified page data stored in the internal microcontroller.
In response packet, including protocol version number and the response status code, its own data and documents requested information.
The data transfer is completed, the two sides through the 4-way handshake to end.
The study shows that, to establish intelligent irrigation system based on Internet of Things technology to reduce the cost of the system cost reduction of 44.8%, compared with traditional irrigation methods, crop water use efficiency of 22.6%, compared with the similar foreign products.

The reason of selecting the capacity load ratio for reference of the is that under the capacity load ratio, investment benefits more, and there won't be any impact on the equipment life because of the high capacity load . 2, Bessel(β) is Bessel curve variables based on the capacity load ratio β, through a large amount of data accumulation of the Bessel function of control points, selection is as shown in table 4.
(9) Note： AVG means averaging the data。
Case Study 4.1 Input Data With the 110kv substation of Red Lotus lake as an example to calculate the sample.
On the comprehensive analysis of the collected data, for a 110kv substation, retired construction cost is 5 million yuan, considering the appreciation of land recycling, 3.75 million yuan can be saved.
Substation Maintenance Strategy Adaptation forLife-Cycle Cost Reduction Using Genetic Algorithm[J].IEEE Transactions on Power Delivery. 2011, 26 (1):  197 - 204 [6] Nilsson, J.; Bertling, L.

Parameters Range Reynolds number (re) Relative pitch ratio (p/e) Relative blockage height (e/h) Angle of attack (α) Open area ratio (β) 2000-20000 4-12 (Five Value) 0.8 (One Value) 60° (One Values) 20% (One Value) Data Collection The following parameters have been measured under the steady state conditions: (a) Temperatures of absorber plate, (b) Inlet air temperatures measured at the inlet section of test section, (c) Inlet air temperatures measured at the inlet section of test section, (d) Outlet air temperatures measured at the outlet section of test section, (e) Pressure drop across the test section (𝛥hd), (f) Pressure drop across the orifice plate (𝛥ho).
Besides, data with respect to temperature and pressure has also been collected for a smooth duct for comparison and determination of thermo hydraulic parameters of duct.
Data Reduction Under steady state conditions, the experimental data have been measured and recorded for given mass flow rate of air and heat flux.
Validity Test Values of Nusselt number and friction factor have been determined for smooth duct using experimental data collected and compared with the values predicted by Dittus Boelter Equation Nu=0.023×Re0.8×Pr0.4 and Modified Blasius Equation fs=0.085×Re-0.25.
The average absolute deviation between experimental and predicted values of Nusselt number and friction factor has been found to be 3.18% and 1.89% respectively which ensure the good accuracy in measurements of experimental data.

Using test enginery to record the data of load and displacement.
By Moore the coulomb's law, it is known that the pore water pressure of the existence of rock, reduce the effective stress of rock, but partial stress unchanged, the rocks easier to achieve ultimate strength, so the water pressure on rock fracture has the effect of should not be neglected. 3 Conclusion graph and data analysis of experimental results Rock specimens fixed stability, the experiment all ready, hydraulic press on blade, add water to 88 seconds hydraulic press pressure when the initial pressure to the requirements of 0.5 Mpa, and then in 113 seconds of rock testing machine results vertical displacement axial load, when loading to 321 seconds rock specimens suddenly craze, water bursting occurred phenomenon, water pressure falling rapidly.
Fig.3 Conclusion figure of preliminary data hydraulic press Fig.4 Conclusion figure of press preliminary data By press pressure data have to rock specimens subjected to stress data have to rock specimens stress-strain curve as shown in figure 5 shows: The experiment results of rock machine to the vertical axis of uniform loading, displacement to 350 micron rock specimens internal appear when tiny crack and testing machine pressure has dropped, appear stress the temporary reduction in the open loop concave curve.

The relationship between urbanization and energy consumption has been extensively studied in recent decades, using various types of data and models at the national, city and household level.
Variables and Data Discussion The urbanization process is mainly that population and non-agricultural economic activity concentrate in urban areas and urban density increases, thereby influencing household energy use patterns [10],[11].
Since the nineties of last century, China's urbanization level has saw from stable development to rapid development, so the data of 1990-2010 is used.
These data should be processed before used.
In order to eliminate heteroscedasticity and violent fluctuation of the data [14], and to facilitate short and long term analysis of the variables, this paper uses the natural logarithm of energy consumption and urbanization rate, ln(Tect), ln(Cityt), ln(Coalt), ln(Oilt), ln(Gast) and ln(Powert) as the variables[15].

The main advantage of S-shaped curve is that it catches most of the economic phenomenon’s growth essence and requires less data.
So it is suitable to forecast new industry’s development where the available data is very limit.
So it can depict the growth essence of EVs and requires a few data.
Because the EV in China is a new industry, and there has no historical data, it is a better policy to estimate the intrinsic growth rate of EVs based on that of ICEVs.
As we have seen, this model can catch the characteristics of EVs growth and need less data.

Table 9 Loss of water changes of optimal formula Time(min) 0 0.5 1.0 2.0 5.0 7.5 10.0 15.0 25.0 Loss of water (ml) 0 10.0 13.1 20.0 22.1 25.3 26.2 27.5 30.2 Data in Table 9 show that loss of water in 10 min reached 26.2mL, which indicates superior performance.
Table 10 The over time changes for material loading situation of optimal formula Time(min) 0 5 10 15 20 25 30 35 40 Force (kN) 0 7.5 15 22.5 30.0 37.5 45 52.5 60 Data in Table 10 show that time is proportional to the force of the material under the formula.
Table 11 The over time changes for thickening degree of optimal formula Time(min) 0 50 100 150 200 250 251 252 253 The thickening degree (%) 0 5.1 6.2 6.7 6.9 7.1 40.2 97.68 97.67 Data in Table 11 show that, during the first 250 min, the thickening degree of the material is not high, and thickening process was relatively slow.
Improvement on Data Processing in L9 (34) Orthogonal Design and Excel Application.
The establishment of data-autocalculator system for orthogonal experiment by Microsoft Excel.

Therefore, the early detection and diagnosis of breast cancer is a very important procedure for mortality reduction.
The Otsu thresholding scheme first normalizes the histogram of the input data set as a probability distribution, and supposes that all elements of the set are divided into two classes by a threshold.
When performing experiments, data are frequently tabulated in the form of ordered pairs with each distinct.
Given the data, it is then usually desirable to be able to predict from by finding a mathematical model, that is, a function that fits the data as closely as possible.
One way to determine how well the function fits these order pairs is to measure the sum of squares of the errors (SSE) between the predicted values of y and the observed values for all of the n data points.

This data provides information that the MIP caffeine sample has a smaller concentration than the NIP.
Table 1 shows different transmittance data (in %) between NIP and MIP.
Transmittance data from NIP and caffeine MIP.
The analysis of the obtained data can be seen in Table 2.
Summary FTIR data reveals that the concentration of caffeine decreases after the extraction process.