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In addition ,the system operation data can be saved in the extended RAM.
In addition, it also supports the DMA data transmission.
The signal and STM microprocessor interface are controlled by one serial data line, read, write and chip selection.
Its main program module consists of initialization module, polarization energy data acquisition module, timing data acquisition, PID function operation module, LCD display drive module and protection function module.
The operation data on the hour in one day are shown in tableⅠand table Ⅱ.

We find a reduction of the intensities of all valley-orbit Raman signals with increasing temperature and ascribe this reduction to the decreasing occupation of donor states.
Measured data (filled dots) are fitted by the superpositon of an energy-dependent background (free electrons), inelastic scattered laser light and two peaks at 28 and 43 cm−1, which we assign to electronic transitions between the valley orbit split 1s states of P donors on different lattice sites.

The results show that we ultimately determine the influencing factors on the removal rate of nitrogen effect model by analyzing the data through multiple linear regression method.
In conclusion, the author puts forward an idealized model, assuming that the packing layer height, temperature and TN removal rate were positively correlated, hydraulic retention time and the relationship of a quadratic polynomial, the removal rate of TN and independent among factors, through fitting of TN removal rate prediction model: TN%=-0.1HRT2+0.585HRT+0.001Z+0.008T-0.399 (4) type : TN%—TN removal rate (%); HRT—hydraulic retention time (d); Z—Bed material height(mm); T—temperature (˚C); Fig.5 TN removal prediction model residuals normal probability plot As shown in Fig.5, we compare all predicted and the measured values. , the prediction model is in line with the actual test data, the accuracy is higher.
Nutrient reduction in an in-series constructed wetland system treating landfill leachate[J].

This product data is used to support die design and process planning.
The geometrical features data of a die contains feature shape, dimensions and so on.
Machines and tools data can also be retrieved from machine and tools database.
The training data set has been prepared by translate die design cases data from cases library to input and output layer format.
Product data can be shared and distributed in die design team.

The strong reduction of cooling oil brings environmental benefits.
This cable was successfully bent at 90 ° with a radius of 1.23 m without any critical current reduction.
To get the same conductor for both the primary and secondary windings for cost reduction, the secondary winding is composed by four coils in parallel.
With the data of figure 4 and the specifications, the magnetic flux density is 0.2 T.
Using these data, the different costs of the transformers are in table 4.

The data from experiments and simulation outputs were compared to validate the correct of the model.
Real time data in the field test can be acquired from CAN bus.
The CAN bus data errors are within 5% compared to experiment data by each component manufacturers.
On the straight bulldozing aspect, measured speed and traction data are selected as simulation input on typical working condition and then compared with the simulated speed and traction data, as shown in Fig.2.
Meanwhile, working condition data and key operation data are acquired and recorded.

(b) PL intensity I536 of clusters (band peaked at 536 nm) (curve 1) and the number of the clusters x2 estimated from SQUID data (curve 2) as a function of the deformation ε.
Solid lines 2-5 are approximations of experimental data by modified Brillouin function for separated dipoles and dimers.
The sample was placed in the magnetometer during all these procedures and its causal displacements in the magnetometer could not distort experimental data.
Average spin approximation allows fitting of the experimental data exactly (Fig. 10).
Thus, exposure of crystals in MF causes reduction of spin of magnetosensitive clusters.

Once the optic nerve has been impaired, visual data is not passed to the brain and permanently visual impairment is caused.
Data enters inputs & moves through the hidden layer, where real information is processed and tests of output layer are visible.
The resulting representation will subsequently be used on a variety of techniques for pattern recognition and classification. [4] Features extraction is a procedure of which resource volume from a wide range of data starting by initial data set & generating insightful derived characteristics.
It eliminates uncertain data & reduces the size of data to improve device performance.
Extracted functions are given as classification data from ANFIS and SVM.

The data in Fig. 4 highlights the differences in the viscoelastic behaviour of the three specimens.
For the experimental data fits best with the normal distribution.
The lognormal and Weibull distributions are also close to the experimental data.
For this case, normal distribution gives the best fit with the experimental data at and .
For, the experimental data fits best to lognormal distribution.

Prediction focused on identifying SS, IM, and AM (amorphous phases) from the data in [25].
SVM is adept at working with linear and non-linear data and supports different kernel functions [27].
Data collection.
Data scaling, soft computing algorithms and parameter optimization.
To prevent overfitting, where an algorithm performs very well on the training data but exhibits poor generalization ability on unseen data, we deployed the n-fold cross-validation (CV) technique [12,31].