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However, this very intuitive and simple approach often fails due to many problems, such as invalid areas and inconsistent data in the wrapped phase map, undersampling of fringe patterns, and unavoidable noise.
Examples show that it can deal with invalid data as well.
It verifies the effectiveness of the proposed filtering scheme in noise reduction.
The effectiveness of the propose approach in removing the noise and localizing the influence of invalid data is verified by real and simulated examples.
Measurement of elastic moduli using spherical indentation and digital speckle pattern interferometry with automated data processing [J].

Greater or less than the rated air volume, will make the dehumidifier dehumidifying capacity reduction.
Figure 1 Nozzle structure diagram 1.2 Brief diagram of test equipment sampler hygrothermograph artificial climate chamber manometer variable frequency fan Power-measuring device Figure 2 Brief diagram of test equipment 1.3 Data acquisition The temperature, humidity sensor measuring equipment at various points of the temperature and humidity of the air, and send a signal to a computer.
Data acquisition software developed by VB6.0.It uses manual measuring and recording start time, system dehumidifying capacity.
Table 1 Orthogonal experiment factor level table Column number Test number Volume A Temperature B Humidity C — — SMER 1 2 3 4 5 6 7 -- 1 1 1 1 1 1 1 1 -- 2 1 1 1 2 2 2 2 -- 3 1 2 2 1 1 2 2 -- 4 1 2 2 2 2 1 1 -- 5 2 1 2 1 2 1 2 -- 6 2 1 2 2 1 2 1 -- 7 2 2 1 1 2 2 1 -- 8 2 2 1 2 1 1 2 -- Table 2 Test conditions and test results data table Serial number 1 2 3 4 Before and after the nozzle static pressure difference Volume Inlet air dry-bulb temperature Inlet air wet-bulb temperature Inlet air relative humidity SMER Pa m3/h ℃ ℃ % kg/kWh 1 68.6 2000 20 11.8 35% 1.33 2 68.6 2000 20 15.2 60% 1.71 3 68.6 2000 27 17 35% 1.51 4 68.6 2000 27 21.3 60% 1.8 5 154.4 3000 20 11.8 35% 1.28 6 154.4 3000 20 15.2 60% 1.93 7 154.4 3000 27 17 35% 1.25 8 154.4 3000 27 21.3 60% 1.88 2.2 Test result and analysis Multiple factors in the comparative trials, to investigate factors on index of effect size, you can see it under every level data average dispersion, in general, the
[4] Bai Xingui, Data Analysis and Optimization Design of Tests, Tsinghua University Publications,Beijing,1986

LabVIEW is a graphical language suitable for data acquisition and information control, its program structure is data stream, which decides the operation sequence of procedure.
Hardware frame of the experiment system The hardware of vibration measurement and fault diagnosis system is a programmable data acquisition system, which includes vibration tester, sensors, signal conditioning instrument, DAQ card and computer, as shown in Fig. 1.
For obtaining exact characteristic parameters for fault diagnosis, data pretreatment methods and feature extraction methods can be combined arbitrarily according to the need.
For example, combining correlation analysis with demodulation analysis, the time delay correlation demodulation method can be got, which has a good effect on noise reduction and demodulation.
In the process of acquiring and processing experimental data, students can apply relevant theory into the practice of measurement and diagnosis and grasp the relevant knowledge.

(6) In formula (11), it proposes a feature reduction method based on class conditional distribution by using deviation classification of Bayesian algorithm [12].
Table.1 The combined effect index of words weight factors and the weight factors between classes on performance(C=256) ham% (%) spam% (%) Accuracy (%) 1:5 1:3 1.890(1.84-1.94) 0.515(0.59-0.44) 99.135(99.09-99.18) 1:5 1:5 1.940(1.77-2.11) 0.650(0.70-0.60) 99.015(99.02-99.01) 1:3 1:3 2.070(1.98-2.16) 0.440(0.49-0.39) 99.140(99.13-99.15) 1:3 1:5 2.280(2.01-2.55) 0.66(0.73-0.59) 98.925(98.94-98.91) 1:5 1:1 2.420(2.38-2.46) 0.315(0.33-0.3) 99.150(99.15-99.15) As the data shown in Table 1, for the construction of discourse system based on the improved Bayesian algorithm, the feature extraction and feature values calculation of the model is as shown in Figure 3.
Summary According to the increased uniform distribution of data distribution entropy, simulation and analysis data results of academic discourse system for Chinese characteristics news communication showed that, the analysis of naive Bayesian performance effect, and the data from simple bias to low entropy distributions could get better precision, so if it got rid of these data distribution characteristics which increased entropy, it could improve the classification performance of naive Bayesian, which would play an important role in construction of academic discourse system for Chinese characteristics news communication.

Table I shows the Dit data collected at 0.1 eV below the 4H-SiC conduction band, which decrease with increasing the NO annealing duration with a saturation at about 4×1011 cm-2eV-1.
The relevant data reported in Fig.4 are also summarized in Table I.
Fig.4: NTrap values (calculated from data shown in Fig.3) obtained on the MOSFETs subjected to PDAs in NO of different duration.
Table I: Survey of the electrical data collected on the investigated MOSFETs.
By a cross-comparison of all the electrical data summarized in Table I, it is possible to conclude that prolonged NO PDAs may induce detrimental effects.

Thus, it can further promote the energy saving and emission reduction. 1.
Serial clock, RAM reading and writing data can communicate by a byte or up to 31 bytes character set.
With the low power consumption, DS1302 can maintain the data and clock information when power is less than 1mW.
Firstly, when the microcontroller is going to work, the system is startup and reads setting data which is stored in the EEPROM in the moment.
These data includes switch status of every socket, the startup of automatic control and time of automatic control.

Data In the Cloud, June 2008
[8] Gartner: Adaptations of Data Management Technologies and Providers[R].
Data In the Cloud, October 2009
Data In the Cloud, April 2009
Data In the Cloud, September 2009.

Experiment Result The servo motor movement will need time to implement an end to once again receive an external signal to drive the implementation, this will become a waste of time, even if the new incoming image data not drive, which is the main reason for this study, Thread, in the implementation of Thread performance is not fully using the servo motor when the action is often caused by waiting for video delay, but this time target tracking system but will not perform to wait, but also according to the image track into the biggest problem.
Using computer simulation trajectory for humanoid tracking system to do continuous tracking of the movement, the figure Experiment data for the computer simulation of the trajectory motion path, Tracking data image for the humanoid vision system to track the path.
Image in the human vision system and image processing required for the important but time consuming, therefore the cut for the image is divided into parts: acquisition, noise reduction, target orientation, image matching, image tracking.
On the contrary, such as using threads (Thread) performance improvement to the implementation of human stereo visual system, programs, performance improvement due to the thread execution time required for shorter image acquisition completed action done to remove noise, which can speed up the time perform positioning, comparison and tracking, and servo motor positioning in the receiving information the first time, you can speed up the process of driving down the middle movement, movement speed rising to come in the next image data can be completed before the action, greatly reduce the visual servo control error, enhancing system performance and stability time.
The LQG problem for multirate sampled-data systems.

At present, heavy metals processing method are: chemical precipitation method, oxidation-reduction method, the adsorption method, a membrane separation method, biological method, etc.
Compare the result of removal Cu(II) and Cr(Ⅵ) in different oxidation pH as Fig.2 According to the data of Fig.2, formula as the following: Cu(II): y= -1.26x2+24.4x-35.1 (3) Cr(Ⅵ): y= -1.37x2+15.7x+5.75 (4) The equations indicate: With the increase of pH in the oxidation phase, the removal rate of Cu (II) and Cr (Ⅵ) increase.
Compare the result of removal Cu(II) and Cr(Ⅵ) in different oxidation time as Fig.3 According to the data of Fig.3, formula as the following: Cu(II): y= -0.085x2+5.33x-0.46 (5) Cr(Ⅵ): y= -0.76x2+4.73x-7.98 (6) Fig.3 Influence of oxidation time Fig.4 Influence of pH in the flocculation phase At the beginning of reaction,Fe(Ⅲ) which has high concentration can remove Cu(II) Cu(II) quickly.
Compare the result of removal Cu(II) and Cr(Ⅵ) in different flocculation pH as Fig.4 According to the data of Fig.4, formula as the following Cu(II): y= -4.36x2+71.72x-213.71 (7) Cr(Ⅵ): y= -3.35x2+56.72x-172.31 (8) The equations indicate: With the increase of pH in the flocculation phase, the removal rate of Cu (II) and Cr (Ⅵ) increase.The removal rate of Cu (II) and Cr (Ⅵ) decreased when PH>9.
Compare the result of removal Cu(II) and Cr(Ⅵ) in different flocculation time as Fig.5 According to the data of Fig.5, formula as the following Cu(II): y= 12.47ln(x)+31.37 (9) Cr(Ⅵ): y= 38.41ln(x)-75.23 (10) Fig.5 Influence of flocculation time The equations indicate: With the increase of the flocculation time, the removal rate of Cu (II) and Cr (Ⅵ) increase.

The load data is shown in Table2.
The data measured are shown in Table 3.The120mm embedded wall panel is widely used in the practical engineering.
Its cracks is shown in Fig.4, the unit of data is KN in Fig.4.
The test data shows that the Magnesium lightweight wallboard is suit for the exterior wall of high-rise building and the applicable height is relate to the wallboard thickness and the connection mode.
Autoclaved aerated concrete produced with low noburner/selective catalytic reduction fly ash[J].Journal of Energy Engineering,2001(8):37-50