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On the contrary there are a huge amount of Unlabeled Data.
While the second stage is the iterative convergence stage, during this stage, SUCS will continuously classifies the unlabeled data, and using the classified unlabeled data and the original labeled data to train itself again.
Most of the traditional machine learning methods rely on the labeled data excessively, and neglect the effect of the using of the unlabeled data.
But they just proposed a framework which integrates the semi-supervised learning and UCS, its semi-supervised learning component learns using both the labeled data and the unlabeled data, once the labeled data reaches enough confidential level, they will be remove from unlabeled data to the labeled data for the training of UCS component.
The major difference is that SUCS is an iterative algorithm, and it can work by use of both the Labeled Data and the Unlabeled Data.

Highway CAD technique Highway DEM data acquisition and expression.
DEM describes landscape by the digital method through a lot of special data of ground points and terrain property data which stores on the media.
Collected data by various ways only can be used after the necessary data-processing.
And the efficiency of information can be improved through effective data processing and information analysis of GIS.
Raster and vector data can be affixed in one surface through 3D module and the real image can be formed.

Ethernet module allows viewing the network traffic and selecting only the data about specific traffic parameters.
One can also analyze data in real-time; however, it requires a reduction of the sampling frequency.
Data Transmission For data transmission, the special architecture of information system that allows exchanging the data between the components of the proposed system of the car simulator has been developed.
The Figure 2 shows the translation of an exemplar data packet sent to the host computer.
Since this loop has a higher priority than the loop used to record data on disk (Fig. 7), the data sent in this way will not be lost even if the computer is overloaded until the overflowing of the FIFO queue.

When M=3, the real parts of NCO data are .
They are periodic and the fundament data are .
Similarly the image parts of NCO data are .
They are periodic and the fundament data are .
The reduction of resource consumption is significant.

Businesses accounts receivable has the function of expanding sales and inventory reduction, but will also increase their opportunity costs, bad debt costs and management costs in the meantime.
These basic data could be obtained from the customers’ past payment history, financial statements or customers’ credit information offered by the bank, as well as from media, national authorities, social credit rating agencies, agency, or other channels the customer contacts with.
Enterprises could estimate credit cost and opportunity cost of different credit terms according to historical data and relevant information, then determine the minimum credit limit depending on the credit and opportunity costs, so that enterprises can get the best credit terms.
Enterprises should strengthen sharing information related to accounts receivable among financial ,sales, human resources, then according to the period and amount of overdue accounts receivable and other indicators, calculate the capital cost of accounts receivable, and this will provide support data to human resources department for assessment in the calculation of sales commission, implementation of enterprise accounts receivable management system.

Three specimens were tested at each test condition with each data point representing the mean of three tests.
The effects of the incomplete heat treatment can be seen with this 2.5-3.0% or 6% stretched data.
This will continue to be seen with the rest of the data.
These results are similar to those for the yield data.
The effects of the incomplete heat treatment are clearly seen with this data.

Transmission spectra measured within a wavelength range of 400-800 nm at the temperature of 300 K allowed us to obtain data about surface modification due to EBA.
These data are in good correlation with theoretical results [9, 10].
The difference between in I-V curves of Ti/SiC contacts formed on annealed and nonannealed substrates might be explained by a reduction of the surface state density in the annealed samples.
These data are in agreement with our results.

The impacted damage in composite laminates leads to a severely reduction of compression behaviors [1].
The fatigue tests don’t stop until at least three pairs of valid data appear and the data close in the staircase map.
Table 2 The results of residual compressive strength tests Material type Impact energy(J) CAI (kN) Average value(kN) Standard deviation(kN) Coefficient of variation (%) 31.30 30.78 0.680 2.21 T300/QY8911 6.0 30.03 31.01 30.40 30.17 0.200 0.66 CCF300/QY8911 10.0 30.10 30.03 Table 3 Loads levels in the fatigue tests with the staircase method Load level The maximum load (kN) The minimum load (kN) Average load (kN) Amplitude of load (kN) 1 -25.64 -2.56 -14.10 11.54 2 -24.69 -2.47 -13.58 11.11 3 -23.74 -2.37 -13.06 10.68 4 -22.79 -2.28 -12.54 10.26 5 -21.84 -2.18 -12.01 9.83 6 -20.89 -2.09 -11.49 9.40 Fig.3 Staircase map for two material systems According to the staircase map, adjacent data points can be matched and the formulae for calculating fatigue limit are as follows: (1) (2)

Introduction Web opening allows the utilities to pass through beams in order to save the space beneath the beams so that the total height of the building can be reduced, which results in a substantial reduction in construction cost.
Calibration against test data.
In order to verify the accuracy of the finite element model, the results are calibrated against the test data of two steel beams with single circular web openings, reported by Reedwood and McCutcheon [1].
Fig.3 Finite element model For both tests, the load-deflection curves obtained from the finite element modeling are plotted in Fig.4 together with the measured test data for direct comparison.

Damage is simulated as a local reduction of beam’s bending rigidity in corresponding cross-section.
Damage is simulated as a local reduction of beam’s flexural rigidity EI in the cross-section with co-ordinate x = xd.
The integration of non-linear differential equations was carried out on the high-speed analog part, but control over the programming of analog part and data processing was executed by the PC.
General view of experimental setup and some recorded data are shown in Fig. 7.