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Step 2: data sources and data acquisition and standardized treatment Because many indexes can be quantified, data are from the railway, then through the min-max standardization method treatment, linear transformation is done, the data are fall into interval [0-100].
Because other indexes difficult to quantify involve the fields of economic, social and political, data are gained from the experts in these fields who give satisfaction of evaluation indexes marking through comprehensive experience and research, and the score interval of comprehensive evaluation is [0-100].
Step 3: data discretization The score for each evaluation index is discretized, specific rules are for: if score lies in the interval [90-100), [80-90), [70-80), [60-70), [0, 60) , respectively, it is replaced by 5,4,3,2,1.
Table 1 Evaluation result table of six kinds of Table 2 Evaluation result list through locomotive circulation reform scheme the data discretization The rough set reduction properties show that the thesis only need to consider the three indexes including traffic characteristics (upward and downward passenger and cargo traffic volume), locomotive operation efficiency(average residence time repairing in locomotive section) and coordination with other transport facilities.
Table 3 Important degree and weight of indexes After the reduction of rough set, quantized data of selections of six kinds of locomotive circulation reform schemes are for: , , ,, , At last, the extension decision model and correlation function are established.

A single pit on slender compression element can cause a significant reduction in the buckling capacity of the member.
For modeling the pinned ends boundary conditions of the tubular member, the end portions of the member were represented by a dome with relatively larger thickness and elastic modulus data to Table 1 Typical diagonal element of jacket platform* L [m] OD [mm] ID [mm] t [mm] A [mm2] L/r D/t 19 457 419 19 26222 126 24 * L = length, OD = outer diameter, ID = inner diameter, t = thickness, A = cross-sectional area, r = radius of gyration eliminate deformation effects at those portions.
For modeling the pinned ends boundary conditions of the tubular member, the end portions of the member were represented by a dome with relatively larger thickness and elastic modulus data.
The reduction was ranging from 3% to 10% depending on the hole positions. 3.
The maximum reduction occurred when the hole position was in the middle of the member length. 4.

FEM simulation leads to reduction of costs in comparison with physical modeling.
The stress-strain curves for 193 K and 77 K were approximated with using data from [21].
So the rolls velocity ratio was equal to thickness reduction per pass in all calculation variants.
If rolling velocity is 0.05 m/sec then reduction per pass should not exceed 10%.
If rolling velocity is 0.05 m/sec then reduction per pass should not exceed 10%.

The result also indicates that the annual reduction of ITS value for an area similar to the study area may be taken as approximately 11% (33.14/3 %) and 4.7% (13.98/3 %) for the conditions of high traffic flow and low traffic flow, respectively.
Document all the data preparation needs that will be required in order to execute the test cases.
This may include items such as how databases should be populated, or production data will be used for next step.
This consistency is characterized by a stream of data falling within control limit.
These control limits are chosen so that almost all of the data points will fall within these limits as long as the process remains in-control.

High impact application opportunities, where SiC devices are displacing their incumbent Si counterparts, have emerged and include automotive and rail power electronics with reduced losses and reduced cooling requirements; novel data center topologies with reduced cooling loads and higher efficiencies; variable frequency drives for efficient high power electric motors at reduced overall system cost; more efficient, flexible, and reliable grid applications with reduced system footprint; and “more electric aerospace” with weight, volume, and cooling system reductions contributing to energy savings.
These calculations do not include additional processing cost reductions that will come with streamlined mass production in large 200 mm volume fabs/foundries.
SiC device fabrication in volume fabs alongside Si has emerged as a “cost reduction” model exploiting “silicon” manufacturing economies of scale.
Lower fabrication costs in a fully depreciated Si+SiC “capacity loaded” fab, coupled with decreased material costs can lead to significant price reductions for SiC devices.
Valuable SiC reliability data has been accumulated over years of field operation and is driving device optimization.

The proposed prefetching schemes chose and download the data block which had the higher caching value in advance to reduce data access delay.
We evaluate and compare the proposed schemes using user browsing pattern data and find that prefetching scheme can improve the seeking performance significantly.
To improve user viewing experience, data prefetching has been proposed as a technique for reducing the access latency [1].
These include data caching and data placement [5], trend forecasting [6], Random Seek Support [7].
Huici, in Pro. the 6th ACM International Conference on Web Search and Data Mining, (2013), p. 607

The present data have revealed the presence in the deformed substructure of a crystallite volume that has rotated towards the {311}<136> component in the interior of <110>//RD fibre grains as a result of a grain fragmentation process.
In total there were 12 rolling passes with an average reduction per pass of 7%.
They depicted the existence of different substructures within the a-fibre type based on different reductions in IF steel.
More extensive data gathering is required in combination with a more fundamental theoretical analysis on the basis of crystal plasticity model.
The present data do not seem to indicate that this is a major source of strain localization here, although not many GBs between misoriented rotated cube grains could be observed.

A new reduction strategy is proposed for training support vector machines.
Sample set select Adult data set of UCI[13], Adult data set has been widely used to test the classification algorithm.
Adult data sets totally divided into nine groups, we use the a5a, a6a data sets to do the experiment, the sample is 123-dimensional vector.
Table 1 shows the experimental results on a5a and a6a data sets.
When the order of magnitude of data sets between 103－105, we generally take for the experience value, for the data set which the order of magnitude greater than 105, can reduce the values of r.

Silicon carbide (SiC) powders have been prepared at 1200-1500°C by carbothermal reduction of two kind precursors of carbonl/silica mixtures: coked rice husk with high-carbon content, and gasified rice husk with low-carbon content mixed with carbon powders as an external carbon sources.
The external carbon source is commercially available carbon black powders (CBp,specific surface area[m2/g], average diameter 40 ~ 50 nm).Table 1 presents data on the chemical composition, SBET obtained of these ashes.
To clarify the effect of the nature of carbon on carbothermal reduction, BRHA,a inherent precursor without CBp was prepared in the same way.
The difference of silica structure in two systems would also affect the rate of SiO(g) formation from the reduction of SiO2.
XRD pattern of the powders from system 2 synthesized at various temperatures for 4 h area of the amorphous carbon, and helps in the carbothermal reduction of silica.

One of the possible ways of iron mineral formation is an extracellular reduction of amorphous Fe (III) oxides and hydroxides by dissimilatory iron-reducing bacteria.
The investigations of biogeochemical transformations accompanying microbial iron reductions have been increasing in last years [1-3].
According to the X-ray diffraction data, the initial SF is an X-ray amorphous material.
The data were obtained with applied field of 5 kOe and 10 kOe for N1 and N9 respectively.
The reductions process lead to an appearance of Fe2+ atoms in B-positions.