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Through the analysis of existing data, the shaft tower vibration characteristics and seismic behavior research is analysed and forecasted.
All of these four scheme have a better vibration reduction effect more than 80%.
Dynamic tests conducted on a R.C. shaft tower erected by the “preconstructing and wholly shifting” method under the conditions of non-fixed, wholly fixed and partially fixed basements, and analyzes the dynamic characteristic discrepancies of the free vibration frequencies, damping ratio and vibration modes measured by different test recording methods as well as the effects of fixation conditions of basements on the dynamic characteristics of structures, providing the reference data for the design of shaft towers in [15].
It is induced natural vibration period experience formula [18] suitable for more than 60 tower tower data as the sample built in China 's representative which had measured the vibration period, through the regression analysis of mathematical statistics method fitting out two for 20 meters to 65 meters in tabl.1.
All of these are the base of vibration reduction and seismic design of the shaft tower.

All these data will be produced, transferred, changed, accumulated accompanied by the evolution of assembly process, creating a complex data stream which leads to the chaotic management and the reduction of production efficiency.
The data form will change from static design data to dynamic execution data and feedback data, reflecting the characteristics of the data evolution with assembly cycle
Data Management in cycle dimensional evolution Integration of three-dimensional design data.
In order to avoid the data lose and the time waste caused by the conversion from 3D design data to 2D process data, process design should inherit the three-dimensional design data.
Mapping between process design data and execute data.

Noise reduction or cancellation is important for getting clear and useful signals.
This paper deals with the implementation of the multi-channel wiener filter algorithm for noise suppression of seismic data.
As shown in Fig.2, this algorithm can eliminate random noise, and improve the signal to noise ratio of seismic data.
So when the seismic data is not enough, the performance will be affected.
Conclusions In this paper, multi-channel wiener filter is considered to suppress random noise of seismic data.

The data was from 1980 to 2009.
For Beijing area, the adjustment of industrial structure has little affection on emission reduction, other measures such as improving energy efficiency and reducing the emission from consumption activities should be taken to achieve the emission reduction targets.
Then the traditional and improved models are presented as well as the data selection in section 3.
Model and data declaration Cubic form of traditional CKC is formula 1 as followed:
(5) Data in this article were from Beijing Statistics Bureau and China Energy Statistical Yearbook.

The proposed target is 50% reduction in the number of defects per month until the end of the year.
With the implementation, step-by-step, of the method DMAIC, it had a significant reduction in the number of defects observed in plant.
Nowadays, the process data vary around a fixed average of a stable and predictable manner, which is a process "under control".
Moreover, obtain a reduction of $ 89.000,00 in monthly production cost.
For the company to maintain the excellent outcome requires that the process is controlled with monitoring data related to product quality and operator training.

The COD reduction for this study is within the range which is 50% reduction in COD.
As expected, the carbon dioxide data had an inverse relationship to methane data this was likely due to a washout of the slower growing methanogenesis at day 21 to 30 and it may also because of acidifying microorganisms are prevailing over the methanogens which caused the accumulation of volatile fatty acids.
The reduction of COD was accounted for biogas production.
In this project, the highest COD reduction data was about 52.1% which happened at the most optimum organic loading rate at 50 000 mg/L COD.
Based on the data of this study, OLR of 50 000 mg/L COD is suggested as design criteria with methane production rate of 70.3% (methane) and 38.1 L/day for total volume production.

The rolling texture of FCC metal sheets has been investigated experimentally up to around 95 % of rolling reduction, and the maximum rolling reduction investigated was around 99 %.
The reasons why the rolling reduction more than 99 % has been rarely investigated are simple.
The 15c ARB is equivalent to the rolling reduction of 99.99695 %, when 50 % rolling reduction is applied at each ARB cycle.
The measured area is 30 mm×30 mm for ARB 4c and 30 mm×20 mm for the other samples. {111} Pole figures (PFs) were constructed from EBSD data using OIM analysis (TSL) with the orthotropic assumption.
Summary The texture evolution of commercial purity aluminium ARB processed with lubrication was investigated above rolling reduction of 99 %, and the maximam reduction of 99.99695 % was achieved by ARB 15c.

The entropy of the attribute is bigger; the uncertainty is bigger, and more conducive to data classification, conversely, entropy smaller, less effect on data classification.
Experimental results and analysis In order to verify the effectiveness of this algorithm used the iris data set and wine data to simulate.
The iris data set has 4 attributes, 3 categories and 150 samples.
The wine data set has 13 attributes, 3 categories and 178 categories.
Choose 100 samples as training samples from the above two data sets separately, and the others as test samples.

Introduction Data mining of the time series is the algorithms and implementation techniques to discover valuable regularity from a large number of time series data and it’s an important branch of data mining is widely used in the economic, scientific, industrial and many other fields.
In this study, the egg_full data set of the EEG Database is selected, all these data are come from experimental studies and each time series contains 256 data points.
The data in Table 1 also shows that this method can more accurately index the time series.
Event detection from time series data.
In proceeding of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining.

Deck barge dimension Deck barge data Size Unit Overall Length [L] 82.29 m Depth [H] 4.87 m Breadth [B] 21.33 m Draft [T] 3.80 m Table 2.
Mechanical properties material Pole Data Size Unit Plate thickness 4 - 26 mm Yield strength 235 MPa Tensile strength 400-520 MPa elongation 22 % Fig. 2.
Modeling of the 270-foot deck barge using Finite Element Method (FEM) software by inputting the transverse and longitudinal construction design data of the deck barge shown in Figures 4 and 5.
After modeling and data processing, a curve graph is obtained, which represents the relationship between the ultimate strength value and curvature using the Non Linier Finite Element Analysis method [34] on all load cases shown in Figures 15–16.
Likewise, Figure 16 shows that the deck barge will experience damage at the same time between hogging and sagging in conditions of intact plate thickness, 20% reduction, and 25% reduction.