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Three principal components are extracted as the new variables to provide reference to the cationic pigment dyeing process control and to obtain the best effect of energy saving and emission reduction.
Then the pigment gets seated on the fabric with the help of binder to obtain enough color fastness, it can simplify the technological process and is conducive to energy saving and emission reduction[2].
The data fitting are shown in Fig.2 ,Fig.3, Fig.4,Fig.5 and Fig.6.
Considering to obtain a better energy saving and emission reduction.
Conclusion 1.Cationic pigment dyeing process does not need to modification, and it realizes one bath dyeing to simplify the technological process and is conducive to energy saving and emission reduction. 2.The binder could increase color fastness of fabric, but the dosage of binder should be controlled, otherwise affect product handle.

Comparison of multi-point injection with dry and flood cooling indicates reduction in cutting force and surface roughness while using different combinations of fluid injection.
Another investigation [2] shows that injecting MWF at rake face can be a beneficial in terms of reduction in tool wear, cutting force, cutting temperature and surface finish.
Khan et al. [4] showed considerable reduction in cutting zone temperature when vegetable oil as a MWF is injected at rake face.
Investigation by Itoigawa et al. [5] shows considerable reduction in specific cutting force compared to dry cutting when MQL nozzle is kept above cutting position.
Dynamometer was connected with the high frequency data acquisition system, which is then further connected with a computer.

The result means that WT-SVD method can strike a balance between data compression and preservation of small valid information in feature extraction of three-dimensional fluorescence spectra of mineral oils.
With decomposing data into the low-frequency and high frequency parts in different directions, WT can maximize the retention of effective small components’ information in the original data, but the coefficient matrix is relatively large in scale.
Diagram of 3-D fluorescence spectrum measurement system Data Preprocessing.
After numerical filtering used to restrain spurious interference, in order to unify spectral scale and get comparability in the global data domain, range normalization of EEM data based on the matrix is performed to transform the data into the [0,1] range, as shown in the Eq. 1: (1) Fig. 2 is the 3-D fluorescence spectrum contour based on the EEM matrix of 97# gasoline sample of some concentration after interpolation smoothing, called as ‘spectrum fingerprint’.
Wavelet Transform (WT) has zooming capability with high local resolution, low distortion characteristics, for data decomposition.

The workflow, summarized in Figure 2, outlines the key steps: (i) data collection and dent characterization, (ii) model development and validation, (iii) application of internal pressure loading, and (iv) assessment of stress distribution relative to material strength limits (SMYS and UTS).
This model is calibrated using stress-strain data obtained from experiments on API 5L X65 steel, which was subjected to both monotonic and cyclic loading [8].
The kinematic hardening parameters (C and g) can be based on the stress-strain data obtained from the first half cycle of a unidirectional tension or compression experiment.
This shows that there is a reduction in plastic in the springback phase, due to compression and tension stress.
This confirms that even at 12 MPa, the dented region remains structurally vulnerable despite the apparent reduction in deformation growth.

Ten specimens in each batch were tested in order to acquire data.
The UTS reduction of samples with contaminants of 5 layers water, oil and paper was respectively 28.7%, 36.3% and 31.2%.
The Et reduction of samples with contaminants of 5 layer water, oil and paper was respectively 15.0%, 16.7% and 16.7%.
Under the same contamination condition, the reduction of UTS is more than that of Et value compared with the control test.
The flexural E modulus reduction of specimens with contaminants.

Residual stresses and texture in cross-rolled polycrystalline metals a) Copper A plate of polycrystalline copper was rolled to the reduction Red1=60 % and next four samples were cut out, which were cross-rolled to the reduction Red2 of 10 %, 40 %, 62 % and 80 %, respectively (Red1 is the rolling reduction in principal direction and Red2 - in perpendicular direction).
rolling reduction in cross direction (%) 0 20 40 60 80 -80 -60 -40 -20 0 20 40 σΙ22 σΙ11, σΙ22 (MPa) σΙ11 Fig. 2. σ I 11 and σ I 22 versus rolling reduction (Red2) along perpendicular direction for polycrystalline copper b) Low carbon steel The starting sample was rolled to Red1=74%.
A very good fit is obtained with experimental data, using our approach given by Eqs 3 and 4 (solid line in Fig. 3).
Rolling reduction in cross direction (%) 0 20 40 60 80 -100 -50 0 50 100 150 σΙ 11 σΙ22 σΙ 11, σΙ 22 (MPa) Fig. 4. σ I 11 and σ I 22 versus rolling reduction (Red2) along perpendicular direction for low carbon steel a b c Fig. 5.
rolling reduction in cross direction (%) 0 20 40 60 80 100 Second order stress (MPa) 0 20 40 60 80 100 Fig.6.

Langmuir isotherm fits well to the experimental equilibrium data.
In addition, equilibrium data for nitrogen on a commercially available zeolite sample (RS-10 from UOP Inc.) at 274.15 K are also included in the figure or comparison.
Equilibrium isotherm parameters obtained by fitting the experimental data with Langmuir model are tabulated in Table 1.
Table 1 gives the isotherm parameters obtained by non linear regression of the data.
The equilibrium data is represented well by the Langmuir model.

The model has made an accurate check by the existing accident data.
As referred above, any function relation can convert to the fractal distribution form using the concept of variable dimension fractal, however, the data obtained from the actual are often just some of discrete data points in the forecast of mine accident.
So it is difficult to get certain function relations from these data points, at this time, the data can be made a series of transformations, ensure that the converted data fit well the fractal distribution model and are more suitable for mine accident forecast[6], specific algorithm process is as follows: Step1: Calculate every two points between the fractal dimension of the original accident data (Ni,ri)(i=1,2,…,n), get fractal dimension D of n-1 periods, if these values of are close to each other, small discrete degree, then turned to Step4, otherwise turned to Step2.
(2)Process origin data by the first-order data accumulation, the second-order data accumulation , the third-order data accumulation according to the Eq.(7), Eq. (8), Eq. (9), get sequence {S1j}, {S2j}, {S3j}, then calculate the fractal dimension between every two points of the three series respectively, which is noted as D1, D2 and D3 , and each sequence can get 12 fractal dimension.
(13) r = 14, r = 15 is taken into Eq. (13) ,and get the 14th and 15th value of S3: S314=42772 S315=51394 Using the above values to calculate by inverse accumulative reduction method according to the E.q (11), E.q (12), and get prediction values of 14th and 15th data: N14=73,N15=45 The 14th and 15th practical accidents numbers are 75 and 42 calculated by known data, the prediction data and the actual data are comparative analyzed, get the average relative error is 4.8%.So we can get the conclusion that the error between prediction data and the actual data is small, which indicates the application of forecasting model based on fractal theory to the mine accidents prediction is reasonable and practical.

Then it is verified by real operational data of the capital airport under bad weather.
It proved that the model could be used to arrange for flights to alternate reasonably when a large hub airport encountered a severe airside capacity reduction.
A Case Study In this section the actual flights operation data of Capital Airport are used to simulate the above programming model.
Bad weather is the main reason of airport capacity reduction.
The following Table 1 lists the alternating statistical data of 20 alternative flights selected between 23:00 and 24:00 on November 27, which flew to the capital airport from all over the country.

We have made considerable progress in energy saving and consumption reduction, in particular, some technical indexes have reached the advanced level in the world.
At the same time data acquisition are implemented on energy flow and energy flow network so that we can forecast dynamically, make decisions offline, schedule real-time, operate in the optimization, grasp the dynamic change law of relationship between energy supply and demand, solve the using problems of surplus gas, oxygen and heat power to reduce their dissipation, which makes energy saving and zero emission true.
The production data indicates that the influence ratio of concentrates technology on technical progress of iron-making in BF is about 70%.
Empirical data shows that when hot blast temperature increases by 100℃, coke ratio can decline 15～30kg/t with the allowance of more 30～40kg/t pulverized coal injection which improves the production 3%～4% and leads to significant economic benefits.
[2] Wang L. the Current Situation and Prospect of Energy Saving and Emission Reduction in China’s Steel Industry.