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The purpose of gear system dynamics research is to evaluate dynamics of gear system, and provide a theoretical basis for the design of a high-quality, low noise and low vibration gear system [1].
Gear boxes and gear pairs prototype model were shown in Fig. 1.
(13) Matlab optimization 1) The objective function (14) 2) The constraint function Simplify the aforementioned constraint functions, and get the following constraint functions.
References [1] J.Antoni, J.Daniere.
Journal of Sound and Vibration. 2004,(78):479-499 [7] S.Natsiavas.

Figure 1.
Table 1.
Characterization measured during experiments with ceiling-supply and wall-return airflow Frequency of Fan Ventilation Frequency (h-1) Cleanliness(≥0.5μm , pc/m3) Pressure (Pa) M1 M2 M3 M4 M5 M6 35Hz 39.40 1344 1777 1482 1329 2251 1100 24 40Hz 46.52 1378 2882 2976 1932 954 604 35 45Hz 50.88 949 1357 870 747 624 879 36 50Hz 55.13 770 803 772 590 479 451 40 Table 2.
References [1] Tengfang Xu.
The probe on operation control to clean air conditioning, Contamination control & air-conditioning technology (in Chinese), 2013,1, 77–79

The motion equation of FGM isotropic viscoelastic thin plates [4-6] (1) in which, the symbol expresses the linear Boltzmann operator[7].
Table 1 shows the maximal deflection of simply supported FGM rectangular thin plate, in which and maximal deflection when considering and ignoring mid-plane stain, and error value .
It can be seen from Table 1 that the influence of ignoring mid-plane stain on maximal deflection is very small.
References [1] M.
Sinica. 25(2004)479-482

Based on the work of Frank and Zadoff, D[1].
Correlation Property of ZADOFF-CHU Sequence Fig.1 shows the PACF of Zadoff-Chu sequence with k=1 and L=1024.
Fig.1 Normalized PACFs of Zadoff-Chu Sequence and m Sequence Comparison of FDIA and the commonly used interpolation algorithm Fig.2 shows the real parts and the imaginary parts of the original Zadoff-Chu sequence with L=32 and k=1 and of the sequences respectively 8 times interpolated by FDIA and commonly used interpolation algorithm.
References [1] J.
“Optimal training sequences for channel estimation in bidirectional relay networks with multiple antennas,” IEEE Transactions on Communications, vol. 58, no. 2, pp.474-479, 2010

Literature Review Virtualization can be divided into three levels, hardware virtualization, presentation virtualization and application virtualization [1]. 1.
Cloud Multi-tenant Architecture for Developing Machine Remote Monitoring Systems The multi-tenant concept is mainly to share and isolate resources through an application, as shown in Fig. 1, and is generally for the application for the common and different data of users.
Fig. 1 The proposed cloud multi-tenant architecture for developing machine remote monitoring systems.
References [1] Microsoft, Virtualization for Windows: A Technology Overview, Retrieved January, 2012, from http://download.microsoft.com/download/0/a/c/0ac57003-473c-4f9a-84b0-8adef6ace753/MS_Virtualization_Overview_v1.1.doc
Hsu: Development of Software-as-a-Service Cloud Computing Architecture for Manufacturing Management Systems Based on Virtual COM Port Driver Technology, Applied Mechanics and Materials, Vol. 479-480, No. 5 (2013), pp. 1023-1026

Based on the work of Frank and Zadoff, D[1].
In comparison of table 1, we can see the FES has the advantages of long life, high power density, high energy storage densities, basically not be limited by times of charging and discharging, easy installation and maintenance, without pollution etc.
Fig.1 Typical structure block diagram of FES system Fig.2 Photo type of 11kw IM Fig.3 Photo type of GTX for UPS Comparison of FDIA and the commonly used interpolation algorithm Fig.4 shows the real parts and the imaginary parts of the original Zadoff-Chu sequence with L=32 and k=1 and of the sequences respectively 8 times interpolated by FDIA and commonly used interpolation algorithm.
Fig.7 Adaptive NN augmented model inversion architecture in the longitudinal channel configured for ACAH References [1] J.
“Optimal training sequences for channel estimation in bidirectional relay networks with multiple antennas,” IEEE Transactions on Communications, vol. 58, no. 2, pp.474-479, 2010

Results and Discussion Fig.1 – (A) TEM image of MNP-1(A1), MNP-2(A2) and MNP-3(A3).
Fig.1 – (A) TG curves.
The peaks at 595 cm-1 and 1630 cm-1 were attributed to Fe-O group and C=C group, respectively.
References [1] C.
Chem. 2010, 89, 479-487

Horizontal displacements with 20 mm (pushing) induced deformation on transition slab head are presented in Fig. 1.
transition slab abutment pavement Figure 1.
Foundation thickness was 0,8 m, and width 3,0 m. 1,2 m wide part of the foundation was considered as buried in the embankment, behind the abutment wall.
For bridge deck to abutment wall stiffness ratio exceeding 2:1, substitution with infinitely stiff bending restraint proved to be sufficient.
References [1] Burdet O., Einpaul J., Muttoni A., Experimental investigation of soil - structure interaction for transition slabs of integral bridges, Structural Concrete, 16, 2015,pp 470-479

The average water level of the lake is 1018.5m, and the depth of the lake ranges from 0.5m to 3m, and the water depth of 80% of water area varies from 0.8 to 1.0m.
Fig. 1 Relationship of the reflection of various bands and their composition with water depth Fig. 1 shows that: when water depth is more than 1.2 meters, and increase with the depth; when water depth is less than 1.2 meters, and are stable; that is to say, and can reflect deep water characteristics.
The optimal model 1 and model 2 are established.
References [1] V.
International Journal of Remote Sensing Vol. 7(1991), p. 473- 479

Finite Element Model and Experimental Method Extrusion deformation process was simulated by using finite element analysis software DEFORM with 1/4 model.
The finite element model is shown in Fig.1.
Parameters of material properties for pure copper and aluminum were shown in table 1.
References [1] H.J.
Lim..: Materials Science Forum, Vol. 475-479 (2005), pp.967.