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Reduction in area is affected by second phases and inclusions.
The effect of carbon content (in other words the volume fraction of cementite) on the true stress is clear from the comparison of data shown in Fig.4(b) for various compositions.
Tensile strength-reduction in area balance While uniform elongation is a measure of ductility of the material, reduction in area in tensile tests is also an important measure of ductility.
Reduction in area is affected by second phase particles and inclusions.
The test data of conventional ferrite-pearlite steel, tempered martensitic steel and bainite steel are also plotted for the purpose of comparison.

On the other hand, if the request is about fetch, then the supervision and management daemon access Sarp Table and get the information of meta-data (Table1), system obtain data from corresponding GS through the meta-data.
Through the meta-data shown in Table 2, a load data F can be located by a vector [I, s, L], where I behalf of the index number of GS, s behalf of the index number of start sector block of data in GS, L behalf of block size.
In order to quantify the load on GS, HGS will note the processing time named t and the amount of data named d for each request.
Suppose at time T, one GS have processed N requests, consuming time of ,and the amount of data is , then the load on the GS can be expressed as ,Where i∈(1,...
Overload-Reduction rate represented by .

Table 2 Related data of samples after salt bath quenching No.
For each additional 0.01wt% V, the tensile strength is increased about 20 Mpa and the percentage of area reduction decreased about 1.5 %.
Fig.3 (b) shows that the tensile strength is increased rapidly, from 844 Mpa to 900 Mpa, increased by 6.6 %, as N content is increased by 30 ppm, while the percentage of area reduction decreased from 17.6 % to 15.8 % and the reduction is not obvious.
Each additional 10ppm N makes the tensile strength increase about 19 Mpa and the percentage of area reduction change only by 0.6 %.
The tested data of magnetic properties of samples after cold-drawn are shown in table 3.

The steel industry is no exception - an example of cost reduction is a technology of sorbitized wire rod production.
Introduction Tough economic situation directs industrial plants toward modernization of production processes, reduction of production costs, increase of efficiency of the operating equipment in conditions of considerably limited budget for R&D, making foreign methods of enterprise management popular, e.g.
One of such examples of production costs reduction is the process of rolling sorbitized wire rod, allowing to exclude expensive patenting operation at the metalware processing stage [3-4].
(2) In order to obtain the most certain calculation data, total heat removal factor aS is defined empirically at the similar (or close in construction) Stelmor line.
During R&D works in order to increase accuracy of mathematical model and its adaptation to actual production have been made the following changes in the software: implementation of empiric heat removal parameters; consideration of changing steel heat capacity along with the change of its temperature; consideration of massiveness factor for each zone of the air cooling line; addition of ability to create data base for heat capacities of different steel grades; creation of data base for air cooling line models; realization of data export as a table on MS Excel sheet; realization of multizone air cooling line model with ability of individual configuration of each zone; development of electronic reference book for the cooling process parameters and software user manual; calculation of wire rod cooling modes and motor speeds of air sections for each zone both in conveyor’s cross-section and longitudinal section of air cooling line.

We recognized that the reduction potential of Fe(III) ions is almost equal to the potential for the reduction of precious metals ions such as Pd(II) and Pt(IV).
Microbial reduction of soluble Pd(II) by S. algae cells at pH 7 and 25ºC.
Figure 1 shows typical kinetic data for the microbial recovery of Pd(II) ions.
This marked decrease in the aqueous Pd(II) concentration reflected the reduction of Pd(II) ions to metallic nanoparticles through microbial reduction by S. algae.
Figure 4 and Figure 5 show typical kinetic data for the microbial recovery of precious metal ions from the leaching solutions.

Including data cleaning, transformation, reduction, delete the useless content, check the information completeness and consistency.
¿User behavior information storage based on HBase: storage of user behavior information from the client and the server, the dynamic and static user behavior data, results and analysis.
As the following methods used: 1)Data cleaning: removal of the incomplete data, delete duplicate data, delete access to pictures, delete pages of animation, the user behavior analysis of useless data[8]. 2) Data conversion: the pages print, collection, preservation, download operation, in the acquisition, will be converted into the corresponding data format in the database. 3) Data reduction: the user behavior data in large quantity, to standardize the data quantity, reduce the very necessary, but must maintain the integrity of the data.
Because of the time and energy constraints, this work is currently only integrates three cloud platform of the data mining model, looking for more scene data mining model, and transformation, in the cloud platform integrated, make the system more universal, universal, is the next step of work to do.
Proc ACM SIGMOD Int’l Conf Management of data [C].Washington DC, May 1993. 207~216 [3] Agrawal R, Srikant R.

The kinetic data were evaluated by the pseudo-first-order, pseudo-second-order and intra-particle diffusion model.
The experimental data were well described by the pseudo-second-order model with r2=0.997.
Fig. 3 shows that the experimental data is best fitted to the pseudo second-order kinetic model.
Table 1 shows various data obtained from two different kinetic model.
Data. 58 (2013) 798-806

A reduction in the concentrations of exhaust gas emissions was notified.
Although some anomalies are observed to the data, but overall a reduction in CO emissions was found using W/D nanoemulsions compared to the neat diesel.
In spite of having some fluctuations in the data, the general observation was an overall reduction in CO2 emissions using W/D nanoemulsions compared to the neat diesel.
An overall reduction in NH3 emissions was observed using W/D nanoemulsions compared to the neat diesel.

LDA is a classical technique for linear dimension reduction.
But, when the data is distributed in a nonlinear way, LDA may fail to discover essential data structures.
LPP can preserve the intrinsic geometry of data and yield an explicit linear mapping suitable for training and testing samples.
Existing methods use PCA to preprocess the high-dimensional data, which may destroy the integrity of the original data.
DOFMA can avoid PCA pre-processing step and directly extract the optimal matrix from the original data.

The data did not suggest any local texture but was dominated by spottiness, particularly in the region not disturbed by the friction stir-weld tool.
The DIC strain data were averaged longitudinally over a distance of 50 mm in the area around the HEDXD line scans.
This was confirmed when the full-field DIC data was viewed and angled fronts of localised plasticity could be seen traversing the specimen.
The stresses are from HEDXD data and deformation strains from the DIC data.
Figure 6 shows the plastic strain distribution across the specimen combining the data from HEDXD, Fig. 3 (the elastic strain reduction, that is residual stress reduction/E, must first be calculated from this data, shown by the HEDXD arrow), and DIC, Fig. 4.