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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

Reduction in size and mixing of the raw powder components in a planetary ball mill was investigated.
The number of pores on microsections of sintered rods Pore size Up to 50 µm From 50 to 75 µm From 75 to 100 µm Over 100 µm Nicrosil 86 1 3 0 Nisil 102 5 2 1 In the study of specific differential thermal EMF (αe) of thermocouple welded from sintered rods, it was found that in the temperature range from 0 to 100 oC value calculated from the experimental data coincides with the theoretical value (αt) which was estimated according to GOST R 8.585-2001 and is: αe = αt =0.027 mV/K.
Scroger, The Nicrosil versus Nisil Thermocouple: Properties and Thermoelectric Reference Data, The National Bureau of Standards Monograph 161, Washington, 1978
Warlimont (Eds.), Powder Metallurgy Data.

In this paper de-noising technique is considered for reduction of noise.
The optical wireless system also offers high data rates and inherent security since the light does not penetrate the walls.
Both links are affected by multipath dispersions due to multiple reflections which limit the data rate.
Table 1: Simulation parameters Parameters Value Wavelet ‘Daubechies (db) Data size (N) 10 Entropy SURE Threshold method Soft threshold Threshold value (T) 2.6469 De-Noised Signals and Discussion: Fig.7.

In light of emission reduction and weight saving in transport applications, Mg parts gain a lot attention due to their good specific mechanical properties and their low mass.
Nevertheless, significantly increasing air traffic [3], in combination with the aim to halve carbon emissions caused by aviation till 2050 [4] and the therefore necessary weight reductions led to a rethinking of Mg as engineering material.
In this work the responsible intermetallic phases are Al2Ca (identified with EDX - data not shown).

By using the software-defined networking architecture, the control plane is separated from the data- forwarding plane.
It affects the primary objective of setting up a network – fast and reliable communication of data.
By using the software-defined networking architecture, the control plane is separated from the data-forwarding plane.
It affects the primary objective of setting up a network – fast and reliable communication of data.
This depends on the device-controller latency in a smart grid and hence it plays a vital role in delivering data packets quickly.

Let, where S represent the set of clustering data， represent the individual，the will be expressed in the form of binary, determining the length of the required binary according to the size of , for example,，the length is fixed.
The results show that, for a given mixing sample set, the reduction of within-class scatter will lead to the increase of between-class scatter.
Experimental Analysis The authors have simulated two sets of data, data1 and data2, to validate the performance of the proposed algorithm, which data1 have 400 data, data2 have 500 data.
We can also see that the superior of the new clustering algorithm are obviously to the traditional clustering algorithm from the experimental data, either in error sum of squares or accuracy.

Introduction Synthetic aperture radar is an active microwave imaging radar, and the unique characteristic of it is that can obtain data under all-time and all-weather.
EMD is a new and complete data-driven processing method and it need not choose the basis function and perform the self-adaptation adjustment according with the signal itself characteristics.
The description of SAR target detection algorithm EMD uses the self feature of signal to decompose the signal, therefore, not only it is a full data-driven method for signal processing, but also it is an adaptive, multi-scale and multi-resolution analysis method.
The experimental data comes from the SAR image databank of the moving and stationary target acquisition and recognition (MSTAR), and they are shown in Fig.2.
A novel method for speckle noise reduction and ship target detection in SAR images.

It provides storage and services to the mass of text and video data.
Data center subsystem.
It is constituted bythree separate functional modules, the data access distribution system, distributed database system and distributed mass storage system.
It is composed by message data bus.
It is middle layer tool for highly fault-tolerant and high-powered data transmission, which is applied for managing each server, storage node and various control messages between server and client, is the foundation for cloud computing. 3.