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This way, promising measures in reduction of seizing and increase of lifetime for such components could be developed.
Anifa Mohamed Faruck for data and image processing is highly acknowledged.

In the future, more precise optimization of the components will be possible by the transfer of data from the previous stages of sheet forming and joining, to the structural computation code.
This input data will be firstly the distribution of residual stresses, the evolution of local properties such as elastic limit, damage and anisotropy.
In figure 6 a comparison between Aramis analysis of experimental data and computed thickness distributions for this total stroke is presented.
Among defects observed after the hemming operation, there is the reduction in size of the outer panel commonly called roll-in.

From time series logged data (2007-2010) at the SNA, the maximum power statistics were evaluated to define the peak load conditions on the NLs.
Materials and Methods Data Collection: Statistics of hourly load readings comprising active power, reactive power, power factor and bus voltage, were taken from January 2007 to December, 2010, on all the five 33kw feeders in the station, from the Omu-Aran 132 kW substation hourly reading sheets.
Other data collected were the network parameters of each feeder.
From the data collected: arrangement of phase conductors is horizontal; D = 1m; r of 150mm2 conductor = 7mm; r of 100 mm2 conduct = 5.5mm.
Table 4: Bus Incidence Matrix Further, correlation test was carried out between the obtained parametric values of the normal mode (MP) and the network (NP) as in Equation (14), using data analysis toolpak in Excel spreadsheet [8].

These data indicate that most of the oxidation occurs on the pores of the stainless steels, being the contribution of the attack inside the material more important because than the attack that occurs on the outer surface of the samples.
Black, discontinuous lines correspond to the experimental data and continuous lines correspond to the fitted kinetics.
Data corresponding to stainless steels manufactured from pure ferritic wa powder and duplex mixes.
The data correspond to the stainless steel manufactured from mixes of wa and ga pure ferritic powders.
The differences could be higher than those that data in Table 2 suggest.

With ground-breaking development of wavelet theory recently, [2-4]It is expanding application research in[5-9] mathematics, signal processing, image processing, include signal analysis, image processing, electronic countermeasures, computer recognition, Seismic exploration data analysis, Texture analysis, edge detection, music and speech synthesis, mechanical fault diagnosis, etc.
In on hand, wavelet coding has some advantage of traditional coding, which can eliminate statistic redundancy in image data. in the other hand, multi resolution feature of wavelet transform make good usage of human visual characteristics, the transformed image data maintain fine structure of the original image for varies resolution adaptation, and step further to eliminate other forms of redundancy data of the image.
Based on analysis of wavelet theory, the paper makes research on digital image coding method and image noise reduction technology based on wavelet transform, and simulation experiment illustrates accuracy of the research method.
A standard wavelet lifting process include split, predict and update, it is expressed as below in original signal data decomposition and reconstruction {sj-1,dj-1}:=split(sj) dj-1-=P(sj-1) (5) sj-1+=U(dj-1) Reconstruction ( inverse transform) sj-1-= U(dj-1) dj-1+= P(sj-1) (6) sj :=Merge{sj-1,dj-1} Through limited times of (m times ) update and predict of wavelet fitter, the final even sequence is scale coefficient, odd sequence is wavelet coefficient, illustrated in figure 1, Pi , Ui( i = 1, 2, ….. , m) are predict operator and update operator separately.
For example, reorganize wavelet transformed coefficient by EZW algorithm, after coding the output data with binary arithmetic calculate coding, obtain about 2:1 compression ratio to satisfy hyper spectrum image demand of undistorted restoration, from different type of images.

The quality of the analytical data was ensured by careful standardization, procedural blank measurements and triplicate samples.
In this work multivariate analysis of the sediment quality data set was conducted using factor analysis (FA) and canonical discriminant analysis (CDA) approaches.
Principal component factor analysis (PCFA) was applied to the normalized data sets (13 variables) in Dapeng Bay and neighboring three rivers (Kaoping River, Tungkan River and Lingpeng River) were thus interpreted.
Fig. 2b shows that the areas with the highest concentrations of ORP, Phn and Pyr were located in the proximity near the mouth of estuary of the Kaoping River and the Dapeng Bay areas, which finding was coincided with the laboratory data.
Fig. 2d shows that the areas with the highest concentrations of BaP were at the mid-section of the Kaoping River and Dapeng Bay was the second, this finding was coincided with the laboratory data (Table 1).

So the algorithm is not suitable for in Data Updating Frequent system, used in an actual application is not wide. 2) Based on the memory algorithm called the nearest neighbor recommendation, can be divided into User-based and Item-based two recommendation algorithm.
Use statistical techniques to find the number of nearest neighbors of target item, according to the current user of the nearest neighbors of target item score for the prediction of the current user score, whereby to produce recommendations. 2 Based on Collaborative Recommendation Algorithm 2.1 Documents and user model representation In order to use collaborative recommendation to the ranking of search results, so as to improve the degree of correlation algorithm of collaborative recommendation target, must consider the key data representation, such as user and document.
Only clearly states the interest of the user and document contains information, can according to user interest degree to arrange the document therefore, a suitable data structure to represent this information on sorting algorithm is very important. 2.1.1 Document representation It can better describe the document model Boolean model, vector space model and probability model.
With the classification of refinement, reduction effect will be better.
Towards the next generation of recommender systems: a survey of the state-of the-art and possible extensions [J] .IEEE Trans Know l Data Eng, 2007, 17(6): 734-749

The data was recorded from thermocouple traces during welding and residual stress measurements found via the hole drilling method.
By comparing the data from all the cases (see Fig.2), initial welding parameters could be identified.
After FEA modelling had identified suitable parameters for the remote heating zones, the data was used to create a beam deflection pattern using the software toolbox.
The use of FEA has greatly decreased the number of tests needed to produce crack free welds by providing valuable data and insight into the best location, shape, and intensity of heating zones.
Walloe: 'DEWMIPS A5: material data for MARM002'.

To verify both assumption and to obtain a statement about the effort required for input data acquisition for simulation, the geometries of the assembly’s single parts were subjected to statistical analysis.
On the right in Fig. 8 can be seen the influence of the alteration of the position of the joining and measuring devices based on CAD data.
Fig. 8: Measuring device, at the right: simulation data before and after repositioning in comparison In the studies conducted up to now, the methods to model (simulate) clamping and joining processes in car body design and engineering have been sufficiently verified [1], [3].
The strategies illustrated have always been related to process modeling with production equipment that has already been made available by means of metrological analyses and can be integrated as input data in the simulation process.
The focus of the study presented hereunder is to express the suitability of the numerical process forecast as input data for the planning process, that is, at a point in time before the purchase of hardware.

The ease of working is usually measured in terms of power consumed and rate and size of the possible reduction [4]; these quantities are related to the flow parameters, i.e. temperature, strain rate, flow stress and strain.
While a huge amount of work on FEM modelling of Aluminum extrusion has been reported in the last few decades (see, for example, ref. [9-10], in the case of the ZM21, no data are presently available in the literature on those mechanical properties at high temperature that should be the input of simulation.
Several different laboratory testing methods are available to obtain these data; while tension and compression tests are affected by necking and barrelling, in torsion the dimensions of the sample remain constant, and very high equivalent strain can be achieved.
The experimental data were described by two alternative equations: )RT/Qexp(A n −σ=ε& (3a) ( )[ ] )RT/Qexp(nsinhA −ασ =ε& (3b) where A and α are material parameters, n is a constant, R is the gas constant, T is the absolute temperature, and Q is the apparent activation energy for high-temperature deformation process.
Average values of α (0.029 MPa -1) and Q (163 kJ/mol) were used to compare these data.