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Active noise reduction method has low frequency noise control effect is good, can be selectively noise elimination and other advantages, has become the focus of attention.
This paper establishes the simulation model of the active noise reduction system in the MATLAB/Simulink environment, the simulation analysis of a large number of the relevant parameters of active adaptive control algorithm; in a light bus was constructed in the active noise control system in vehicle, the implementation of active noise reduction test, has achieved a good result.
When the engine speed and stable operation in 1080rpm and 2400rpm, the experiment data are analyzed, comparison of the test results of active control system of driver's right ear before and after the opening time curve and frequency curve are shown in Figure 3 and Figure 4
Sound pressure level of each noise peak value was synthesizing, get the overall sound pressure level of interior noise, it can calculate noise reduction amount of vehicle active noise reduction test.
According to this method, calculates noise reduction amount of adaptive active noise control test under two different speed of engine, as shown in. table 2.

In dealing with spatially incomplete situations, one usually applies either model reduction or modal expansion schemes.
Implementing the iterative Guyan model reduction with 5 iterations, one obtains Fig.3 (b).
In general, applying the CMCM method, together with the iterative Guyan reduction approach, could yield a better damage detection.
Baruch: Optimization Procedure to Correct Stiffness and Flexibility Matrices using Vibration Data.
Nagy: Improvement of a Large Analytical Model using Test Data.

In the paper, we research and analyze the Traditional Chinese medicine(TCM)' nature data, the metabolites data from the mice blood which have ate the TCM or not, the metabolites sample space’s data [7] source of key laboratory of modern preparation of Traditional Chinese medicine, ministry of education.
Data Normalization Normalization.
In order to improve result, normalize [8] the data is necessary.
The data consist of three sections: blank group normalization sample, cold nature’s, warm natures, the data have 134 multiply 837 dimension .normalization sample such as the paper [9-12].
The orthogonal signal correction (OSC) is a power method which dimension reduction and noise reduction.

The data were recorded every 30sec from the start to the end of coke combustion.
So the reduction of CO emission is obvious as La2O3 particles size decreasing.
It was reasonably to believe that La2O3 served as a catalyst for NO reduction by coke and CO.
The NOx reduction ratio is over 10% as La2O3 (38-47µm) loading is 2.0wt%
A method of NOx reduction by coke modified with additives in sintering process.

Step 3: data sources and data acquisition, dynamic index static processing and standardized treatment The premise of integrative hubs layout planning is to acquire data according to indexes determined by evaluation index system.
Step 6: clustering analysis using SOFM neural network The index data after reduction are programmed in MATLAB using the SOFM neural network ,in order to realize clustering analysis, and obtaining clustering results.
Step 1: data sources and collection, dynamic index static processing and standardized treatment First data of index determined by evaluation system are collected.
Data are from Beijing's haidian district.
Therefore, the data of index after reduction of rough set are shown in Table 3.

The extensive characterization of the deformed substructure along with partially recrystallized data confirmed the oriented nucleation origin of {h11}<1/h,1,2> orientations from deformed {001}<110> grains.
A total reduction of 60% distributed over 12 passes (average reduction per pass of 7%) is applied.
The EDAX-TSL® package was used for the EBSD data processing.
a) b) ND RD RD ~35° GB Results Textural data of the cross-rolled material are shown in Fig.1.
The textural data associated to the new recrystallized grains and the remaining deformed matrix is processed (not considering any sample symmetry and thus the 0< j1 <360° representation).

The simulation meshes of the thus generated database are standardized with respect to comparability (same number of nodes) and a data reduction is performed.
Principal component analysis (PCA) Various multivariate statistical methods exist to achieve data compression of higher dimensional data sets.
This type of dimensionality reduction allows the information content to be summarized, making it possible to store and analyze large amounts of data in a simplified and less time-consuming manner [18].
Data Preparation 3.1.
Therefore, a data reduction is necessary to enable a fast visualization of the results.

., Ltd, Hangzhou, 310053, China aCQYSD@163.com,bHaoz@163.com,c jiangxiuyingxyz@163.com Keywords: Data mining, Association rules, Aprior, SQL.
Introduction Association rule mining is one of the most active research branches in the field of data mining.
When search for other frequent item sets Using dimensionality reduction methods, rather than the iterative method.
Transaction Database Represented with Binary Variables Let Transaction database relational model be R (TID, I1, I2… Im), each tuple of data using binary variable.
[3] Jiawei Han, Michelins.”Data Mining Concepts and Techniques”. (2001)

The experiments were carried out on the special designed pellet mill and the wireless torque testing system was used to analysis the torque datum.
It is shown the computing datum is very close to the experimental results.
The researches are helpful to the optimal structural design, energy consume reduction and proper use of the pellet mill in practice.
The solution is scheme b shown in Fig. 5, bridge circuit is shown in Fig. 6, spot testing picture is presented in Fig. 7 and interface of data acquisition is shown in Fig. 8.
Fig. 5 Sticking schemes of strain foils Fig. 6 Schematic drawing of for torque test bridge circuit of strain foils Fig.7 Testing picture Fig.8 Data acquisition picture Experimental material is chicken feed, the structural parameters of pellet mill are as follows: ring die radius R=175mm; roller number Z=2; ring die width B=110mm; die hole radius rh=1.75mm; die hole length L=35mm; percentage of die opening area =0.3; Roller radius r=80mm; linear velocity V=6.1m/s.

The "Air Resource Co-benefits (ARCoB) Model" was developed in this study to integrated the health benefits from the reduction of criteria pollutants (the averted loss of life expectancy and annual medical expenditure) and the ecological benefits from the reduction of greenhouse gases (GHGs) (the averted carbon tax) from the promotion of the alternative fuel vehicles currently on the market.
From cost-benefit analysis, the amount of money would be appropriate for government subsidy and reduction of the manufacturing cost for alternative fuel vehicles were suggested for the policy makers and automobile enterprises in this study.
It is estimated by the following equation: Attributable proportion (AP) = (RR-1)/RR eq.(1) The benefit of averted mortality, i.e. the reduction of Loss of Life Expectancy (LLE), from the reduction of criteria pollutants was estimated by the Taiwanese abridged life table; the benefit of averted morbidity from that was estimated by the Taiwanese medical expenditure provided by the Department of Health.
References [1] TEDs 7.0 (Taiwan Emission Data System)，http://www.epa.gov.tw/ [2] IPCC(Intergovernmental Panel on Climate Change)，http://www.ipcc.ch/ [3] Taiwan power company，http://www.taipower.com.tw/ [4] Hongjhih Lin, The Simulation and Social Benefits of Greenhouse Gas and Criteria Air pollution Reduction in Taipei City by System Dynamic Model STELLA, Master Thesis, National Taipei University of Technology, Taipei, Taiwan, 2008.
(In Chinese) [5] Zhixiang Yang, Economic Benefit of Air Pollution Reduction by contingent valuation method in Taiwan, Master Thesis, National Taipei University of Technology, Tainan, Taiwan, 2009.