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Structural real-time monitoring techniques The first step, in the proposed monitoring system, is to acquire ambient response data from the normal traffic loads in SPG bridges.
Free response data obtained from for ambient vibration techniques were used to apply the ERA and identify the modal parameters.
The data acquisition system was set up to measure CPS and coherence function (Coh).
Data acquisition system was used HP VXI 1432.
However, mode 5 and mode 6 depend considerably on the specific data points used in the correlation and noise on the measured data, and their values are thereby dropped below 0.8.

This system not only provides an efficient diagnosis for clinical data, but also achieves the convenient storage, management and remote transmission of patient’s information and image.
Image preprocessing usually includes noise reduction, color correction, contrast enhancement and geometric correction, etc.
The business layer uses the Spring framework to bond the presentation layer and the data persistence layer.
The data layer uses the Hibernate framework, which is a lightweight object encapsulation of JDBC, and greatly improves the efficiency of the development [9].
[10] Wu Jiaxin, Web Data Visualization based on the Function and Implementation Dimension, International Conference on Data Storage and Data Engineering, 2010: 245-249.

The third ribbon was of 0.50 mm width, 32 mm thick and pieces of 7 cm length were cut to obtain the experimental data.
Therefore, these experimental data have been fitting to an expression like: HK = a + bf c (1) where a, b and c are parameters of fitting.
With respective saturation magnetization, Ms, determined from the hysteresis loops measurements, the experimental results for the high field data can be quadratic fitted with an anisotropy field HK = 38.7 ± 0.2 A/m and a Landé splitting factor g = 2.08 ± 0.02 for the 0.35 mm width ribbon (Ms = 510 kA/m).
A quadratic fit of the high field data was done (a), and a linear fit was used for the low field data (b).
Symbols denote experimental data and lines denote theoretical fits.

Errors may happen in data acquisition and curves matching.
Although this method is flexible it imposes too many requirements on the models that can not be met by scanned 3D data, and have low efficiency.
Thompson et al. presented more sophisticated reverse engineering techniques for recovering CAD features from scanned mesh-based 3D data [7].
The design data is read from theoretical mathematical model.
The measuring system is planning measuring path to control the probe to move according to the design data.

Using experimental data for warm-rolled (at 293K) polycrystalline aluminum in [10], k was determined as ~1.5° for IDBs and ~7.2° for GNBs.
The input data are texture and grain aspect ratio statistics.
The diamond shape dots represent the simulation data, and the solid line represents the exponential statistical model.
Comparison between the theoretical dependence of recrystallized grain size on strain with various data for aluminum alloys [15].
This model is validated by comparison to experimental data.

To indicate strain distribution on arbitrary cross section, we made virtual grid array in the inner 3D space of sample and assigned strain data on the grid array.
Figure 4 shows strain maps in different data treatment.
The grid points without data exist in the map due to fewer numbers of strains measured points than the number of grid.
The maps indicate an x-z cross section in the three-dimensional data.
Schmidt for scanning orientation data.

IBF algorithm artificial method Shuffles Utilization Shuffles Utilization Shuffles Utilization Shuffles Utilization 1 0.63 1.00 1.00 0.95 9 0.38 1.00 1.00 0.60 2 0.61 0.94 1.00 1.00 10 0.43 1.00 1.00 0.97 3 0.75 1.00 1.00 0.66 11 1.00 1.00 0.87 0.84 4 0.86 1.00 1.00 0.84 12 0.45 1.00 1.00 0.57 5 0.53 1.00 1.00 0.87 13 1.00 1.00 0.82 0.70 6 0.42 1.00 1.00 0.74 14 0.50 1.00 1.00 0.88 7 0.95 1.00 1.00 0.54 15 1.00 1.00 0.74 0.72 8 0.49 0.97 1.00 1.00 16 0.82 1.00 1.00 0.92 We select 400 data from the offline 600 data, and use three algorithms to test the average number of positions in 10 examples.
Select 400 actual production data offline to verify the IBF algorithm.
(2)In the premise of the same amount of data, the average used position numbers of IBF algorithm is more than the artificial method, this shows that the IBF algorithm can not only reduce the shuffle numbers, but also improve the non-empty position space utilization.
The shuffling numbers of IBF algorithm is significantly less than artificial method under a fixed numbers of available positions and same data.
The reduction of billet shuffles not only can smooth the production process in the mill, but also can cut a large amount of billet-handing cost in the yard.

The signal acquired by torque-meter can be easily introduced into data acquisition equipment, thus, to realize the test automation and date processing real time.
Not only it can improve the accuracy of load, but also get the load torque from another angle, compared with the data get from the torque meter method, finally, improve the reliability of test results.
We can not finish the accurate detection of motor efficiency without the accurate and reliable data from torque sensor.
When measuring, use the speed as variable interpolation to get the corrected value of torque under this speed, and use this correction to correct the torque sensor data.
[J] Energy Conservation and Emission Reduction, 2010, 28-31(In Chinese) [2] The Instruction of DJZ Dynamometer (loader). 2009, Huxiang Loading Technology Institute

Three-dimensio-nal model Basic theory of ergonomics CATIA HBM Work space Analysis Analysis on operation comfortability Model Adjustment Model Adjustment Design Model Data Interface Model Adjustment Evaluation Evaluation Comprehensive Evaluation Completion of design Figure 1 Application of ergonomics 2 Man-machine System Establishment and Problems Introduction CATLA is high-end CAD/CAE software co-developed by IBM and Dassault.
Usually, the anthropometric data sets the percentile PK as the position index and dividing value.
Therefore, the virtual simulation shall be based on the Japanese model, but edited as per the data provided by in GB10000-1988. 2.2 Problems introduction The human posture evaluation analysis system of CATLA software conducts quantitative analysis on the comfortability of car-repairing posture, the evaluation result of which serves as the criterion to estimate the comfortability range of the related body parts.
From the evaluation data, it can be found that the values on the body parts of neck and arm are relatively lower, which means it’s not suitable to work under the said postures[6].
Ergonomics-based Car Creeper Design 3.1 Car Creeper Dimension Determination Anthropometry provides relevant human body dimension data, as shown in Table 1.

Thus the decoupling variance based on window M is: (4) In (4), when the decoupling number is less than M, the decoupling variance is calculated by the tow former formulas; when the decoupling number is more than M, the data number in the window equals to M, every new decoupling data is obtained, the window slides once, and the oldest data is moved out from the window, the decoupling variance is calculated by the third formula.
In figure 6, the decoupling variance becomes stable with the increment of data, and the first sensor’s decoupling variance is more than, its scale threshold is adjusted to, After the adjustment, the decoupling variance curves of the first sensor in the second window is showed in the figure 7(b), compared with the decoupling variance curves (showed in the figure 7(a)) which hasn’t adjusted in the second window, it decreased 13.56%.
Cross sensitivity reduction of gas sensors using genetic algorithm neural network[J].
On the Estimation of Variances for Multi-Sensor Measurement[J].Journal of Data Acquisition & Processing,Vol.18(2003),p. 412-417 [11] Roal J R, Girja G.
Sensor data fusion algorithms using square-root information filtering [J].