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The analysis results are also compared with the experiment data from published references and they show a good agreement with the experiment data.
As shown in Fig. 6 the calculated values from material Model 1 agree well with the experiment data.
The results from the Model 2 are lower than the experiment data until the wear depth ratio becomes 0.8.
And the Model 2 gives conservative pressure values comparing with the Model 1 and the experiment data.
The calculated results are also compared with the experiment data in the Alzheimer et al. [3].

Fast Fourier Transform (FFT) was subsequently used to transform the vibration data to a function of frequency domain.
It was observed that the magnetic fields contributed to reduction of chatter amplitudes.
The vibration data was transformed into a function in the frequency domain by using Fast Fourier Transform (FFT) analyzer, included in the software.
As shown in Fig. 3 (b), the highest percentage reduction was observed in run number 4.
This reduction was due to the damping effect of the magnets on the vibratory motion of the tool.

For other companies lack of data, the missing data are replaced with industry average data after excluding extremely high values and abnormal low values.
(2) Data standardization.
Transform the data into the interval [0, 1].
(3) Data discretization.
Input data matrix is the data after preprocessing.

Study on technology of blast furnace energy saving and consumption reduction ShuangPing YANGa , Yanbin CHI, miao WANG, Jie DONG, Congrong ZHANG, Yuan SHE School of Metallurgical Engineering, Xi’an university of Architecture and Technology, Xi’an 710055,China ayang_sping@163.com Keyword: BF; energy saving and consumption reduction; operation system and operation technology; optimization Abstract: By study the development situation of blast furnace smelting in china and the blast furnace operation system and technology, combined with production conditions of JISC BF, based on a large number of the production data, the comparison analysis test on JISC BF operation system and technology was did.
Based on the above efforts, the technical and economical indexes of Chinese iron and steel products have been improved obvious (see Table1), Table 1.The technical economical indexes of Change of iron and steel in 90’s Item 1990’s 2000’s Increament(%) Coke ratio(kg/t) 525 429 -18.29 Injecting Coal ratio(kg/t) 35.43 118 +233 charged ore grade(%) 53.31 56.81 +6.57 From the data in the above tables, the progress having been made in iron making technology in China can be seen from the following aspects
According to the metallurgical condition in JISC and the measured data, the factors which have more influence on coke ratio was determined, then the quantitative relationship between the factor and coke ratio was calculated by partial derivative equation. 2.2 Problem about blast temperature High blast temperature problem consists of two things: improving the capacity of hot stove providing high blast temperature and improving the BF requirements level of high blast temperature, which is really embodied by supplying plentifully and making full use of.

Reaction rate constant and thermodynamic data in elementary chemical reaction equation come from the Leeds model and NSAS data base.
For example, decomposition methods in ROP are adopted to analyze CH3 and CH2.At 1100˚C, ten elementary reactions influencing production and reduction most are studied with excessive air coefficient to be 0.7.Because reactions of CH4 are finished in 0.15s, calculating time is selected to be 0.15s.Numberings of reaction equations are numberings of elementary reactions in elementary reaction model and data behind the equations is ROP coefficient of the elementary reaction.
Free radicals produced in CH2 reduction are in favor of reduction of NO.
NO direct reduction by CH2 is also proved.
J Phys Chem Ref Data, vol. 21, pp. 411~737, 1992

Not only engine efficiency control but also energy saving and emission reduction could be realized.
According to the research methods of system optimization and multi-sensor data fusion technology, this paper introduces the research on multi-sensor data fusion technology based on multi-value logics.
Basic Principle of Multi-value Data Fusion 2.1 Modeling of Multi-value and Multi-sensor Data Fusion Data fusion technology is the basic method, technology and means to study the acquisition, transmission and processing of multiple information in the field of information science, a technology of information expression and also the significant basis of a new generation of intelligent information technology[4-5].
In tree structure, T-operator applies classified control over data samples starting from leaf node and divides data samples into different data control levels according to different results; The condition of decision tree structure not only affects classification efficiency, but also affects classification accuracy, the simplicity and accuracy of the rule extracted from the decision tree.
Conclusion In conclusion, the application of multi-value T-operator data fusion technology can effectively realize rapid and efficient data processing and contribute to system fusion and optimization, thus to improve automobile engine efficiency, realize energy conservation and emission reduction, provide safe control functions, increase new control functions of electronic automobile system, bring new applications to intelligent automobiles and realize new development in multi-sensor fusion technology and optimization control.

The pre-processor of the DEFORM software is designed to assist users in preparing and verifying input data during the forming analysis.
The compression force at each step reduction were extracted from the DEFORM software.
The flow stress was determined as a result of the potential fitting of the data obtained using the Grapher 3 software.
118.083 (a-d)/a*100% 23.31% 19.95% 31.61% Fig. 13 Comparison of compression force (kN) for angular velocities (w=0.5, 2.5, 6.5 rad/s) with a friction factor of m=0.9 Table 8 Datum shown in Fig. 13 Force (kN) R%(20) R%(40) R%(60) (a) m=0.9 55.833 93.831 243.84 (b) m=0.9, w=0.5 42.902 68.772 182.988 (a-b)/a*100% 23.16% 26.71% 24.96% (c) m=0.9, w=2.5 27.75 45.736 93.578 (a-c)/a*100% 50.30% 51.26% 61.62% (d) m=0.9, w=6.5 25.325 41.317 79.536 (a-d)/a*100% 54.64% 55.97% 67.38% Fig. 11(Datum in Fig. 11 are in Table 6), Fig. 12(Datum in Fig. 12 are in Table 7) and Fig. 13 (Datum in Fig. 13 are in Table 8) show the differences in compression force required to deform the ring specimen at each reduction.
At 60% reduction, with an angular velocity of 0.5 rad/s, friction factors (m) 0.1, 0.5 and 0.9 showed a reduction in the compressive forces by 3.04%, 11.15% and 24.96%. 2.

MPEG-4, Data hiding, BPCS.
Steganography is the idea of embedding a secret data in different media and has become an important regulation of methods of data integration.
This approach invents data hidden in high-security environments.
of course there is limitation of data that could be hide.
It also depending on the amount of data that to be hides in one frame and also to the color information reduction.

The result is to take 0.75 as the reduction coefficient of shear capacity.
The data of Table 2 could proof this conclusion.
Table 4 data show that, according to the literature [9], calculated the shear capacity is less than the experimental values, while the calculated values with the literature[8] are greater than the experimental values, the reason is that not considered the reinforcement effect of dead load level and degree of damage in the original beam.
Dead load levels on the shear strength reduction factor η to determine.
The reduction coefficient value of shear capacity of reinforced beams is researched.

With each set of test repeating 5 times and taking samples in every stratified soil (6 Layers) every time (7 periods), using 12 sets of experiment, respectively, the combinations of 3 categories factors (2 kinds of soil, 3 types of soil cover, 4 times typical rainfall event) to obtain a valid set of 840 hierarchical data.
Data collation and mapping use Excel 2003 and GraphPad software (Version 5.01, GraphPad software, Inc.).
Use SPSS software (Version 18, IBM Corporation) for normal distribution to the data survey, correlation, ANOVA, t tests, etc.
Each set of data can be routine statistical analysis, through the 0.05 level KS normality test.
In general terms, the average reduction rate of CODCr of B is about 3.24% higher than that of A, and the average reduction rate of ammonia of B is about 5.21% high than that of A, and the average reduction rate of TP of B is about 3.70% higher than that of A .