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It is a usual reduction method of construction to install resilient materials to prevent the propagation of vibrations incurred on the upper part [1].
In future, basic data will be provided for preparation of floor impact sound reduction measures.
It seems that as the propagation path becomes longer, the reduction of vibration generated in the source room increases, thereby decreasing the propagated noise level.

The latter way, so-called multi-seed growth is generally adopted due to the cost reduction.
It was found that the two main factors concern the reduction of C and O impurities, namely gas flow condition and Si3N4 coating.
These data indicates that the large amount of Ar flow contribute to the [Cs] reduction but not [Oi].

For this mechanical system, generalized coordinates are rotation angle of the drive motor(,),rotation angle of movement motor(,) and rotation angle of both sides of the ball(,). 3.1 Generalized force of mechanical system According to the principle of virtual work can be obtained: (2) In the formula(2), ,denote torque of driving servo motor, ,denote torque of motion servo motor, denotes rotary torque of upper roll around a central axis, denotes rotary torque of lower roll around a central axis, denotes rotary torque of upper roll around its own axis, denotes rotary torque of lower rollers around its own axis. denotes axial reaction force on the upper roll, denotes axial reaction force on the lower roll, denotes reduction ratio.
can be obtained: translate speed of gear and spin rack is, rotation speed of gear and rotating racks around the center axis rotation speed is , line speed of both sides of the rack and assembly of the nut seat is. 3.2.1 Kinetic energy: (4) In the formula(4), ,denote moment of inertia of driving servo motor, ,denote moment of inertia of motion servo motor, , denote moment of inertia of ball screw, , , , denote moment of inertia of reducer, , denotes moment and weight of inertia of gear, ,denotes moment and weight of inertia of central axis, , denote weight of assembly of the nut seat, , denotes moment and weight of inertia of rotating rack, , denote moment of inertia of rollers rotate around a central axis, ,denote moment of inertia of rollers doing rotary movement around its own axis. 3.2.2 Potential energy (5) In the formula (5), , denotes equivalent rigidity of the ball screws, denotes reduction
Angular velocity of two driving motors and ball screws can be obtained from experimental data.
Table1 The parameters of the prototype mechanical system agencies parameters value moment of inertia of driving servo motor , 27.3×10-4 kg·m2 moment of inertia of motion servo motor , 27.3×10-4 kg·m2 torque of driving servo motor , 3 N·m torque of motion servo motor , 3 N·m moment of inertia of reducer ,,, 6.9×10-4 kg·m2 reduction ratio 20 moment of inertia of ball screw , 70.1×10-4 kg·m2 pitch of ball screw h 0.083 m moment of inertia of gear 0.27 kg·m2 weight of the gear 31.186 kg moment of inertia of central axis 0.02 kg·m2 weight of assembly of the central shaft 263.4 kg weight of assembly of the nut seat , 35.3 kg moment of inertia of rotating rack 32.38 kg·m2 weight of rotating rack 441.53 kg moment of inertia of upper and lower rollersshaft , 0.0044 kg·m2 moment of inertia of the upper rollers around its own axis 0.0351 kg·m2 moment of inertia of the lower rollers around its own axis 0.0434 kg·m2 damping coefficient of between both sides of the ball

Moment given by the oscillating bar to the low-speed shaft in the gear box is still showed as , is the efficiency of the gear box, is the reduction ratio, then is the output torque of the high-speed shaft in the gear box which would be passed on to the shaft of the motor rotor.
Once the diameter was designated, the only matter left need to be done would be choosing the optimal which is the reduction ratio of the gear box.
The selection of motor gear box combination in specific cases should be conducted with detailed calculating check based on specific conditions of oscillating system. 3 Simulation Analyses Corresponding to the verification test device, mass of the pendulum is 1.1kg; length of the oscillating bar is 0.2m; kinetic frequency of the frame is 0.5Hz; amplitude is 45°; reduction ratio of the gear box is 33; transmission efficiency is 0.7; armature resistance is 0.63; load resistance is 3; constant of the torque is 25.5mNm/A.
Compare Fig.6 and Fig.3, test data fit the simulation results well, proving that the analysis method is correct.

According to data provided by CNPC, low permeability oil reservoirs has already accounted for 65 percent of its total 56.9 billion tons proved oil reserves till 2009 [1].
Stress-Sensitivity and Permeability Reduction As advanced water injection technology makes fully use of stress-sensitivity effect, a first study of flow behaviors in stress-sensitivity matrix is necessary.
Reduction of pressure and permeability is the core reason for general low production and recovery of these reservoirs.
Fig. 2 Bottomhole Pressure Distribution Influenced by Stress-sensitivity Effects AWI AWI, which is to inject water into formation for 3 to 6 months before producing, will maintain formation pressure to a satisfied value to avoid permeability reduction.

Seven experiments were executed and the data of Si/Al ratio obtained.
This technique enables researchers to determine the variables that most influence the performance of a particular process, resulting in: (i) decrease in the number of trials, (ii) the study of a considerable number of factors, (iii) design cost reduction, (iv) detection of interactions between factors, (v) detection of optimal levels, (vi) improvement in the accuracy of results and (vii) optimization of results [1,4,5].
Experiments Temperature [ºC] Concentration [mol/l] Si/Al Ratio Commercial mordenite - - 8.95 Experiment 1 30 (-1) 0.1 (-1) 8.27 Experiment 2 70 (+) 0.1 (-1) 8.41 Experiment 3 30 (-1) 1.0 (+) 8.22 Experiment 4 70(+) 1.0 (+) 6.58 Experiment 5 50 (0) 0.5 (0) 7.79 Experiment 6 50 (0) 0.5 (0) 7.74 Experiment 7 50 (0) 0.5 (0) 8.04 Statistical analysis of experimental data and interpretation of results are essential to meet the objectives of the experiment.
It could be observed that increasing temperature and NaOH concentration promotes a reduction in the Si / Al ratio.

If machining monitoring function does not work, the system saves vibration data after FFT transfer, and determines whether the transfer result is normal or not with the use of the saved vibration data.
The system is implemented so that four sets of vibration data can be monitored real time, and the vibration data saved in normal condition and the input data can be compared real time.
Machining monitoring condition is set so that the data should be analyzed and compared with normal data with 4 acceleration sensors attached to the side of ultra large deep hole drilling device.
Fig. 10(b) shows the vibration data obtained when ultra large deep hole drilling device header guide is damaged during machining of common rail fuel supply pipe, indicating that the data differs from normal data in 40Hz and 90Hz frequency bandwidth.
The system acquired and stored the initial normal vibration data, and the defects occurring during machining were monitored by comparing the entered vibration data with normal data.

Fig. 1 Linear transformation of any given data series.
To visualise the feature data, Principal Component Analysis (PCA) was perform for dimensionality reduction.
PCA for Binned Spectrum (Multivariate Data): Separation of Undamaged and Damaged Data Fig. 2 demonstrates the result of projecting the 8-D data onto the first two principal components; this projection allows for a direct visualisation of the binned spectra data.
It can be seen from Fig. 3 that the two failure modes (matrix failure and fibre failure) are obviously separated onto two different data sets with the matrix failure data clustered at right and fibre failure data clustered at left.
Pullin, Visualisation and dimension reduction of acoustic emission data for damage detection, Journal of Intelligent Material Systems and Structures, 2001, 12(8), pp. 529-536

This problem has become the focus of data processing.
Introduction With the rapid development of data processing technology, the dynamic resource hierarchy index independent hybrid cloud computing algorithm has been widely used in the industry of large enterprises, institutions, schools, hospitals and other fields.
Therefore, the dynamic hierarchical resource index independent confusion cloud computing method should be researched, and it has become the core problem in research of the data processing field, many experts pay attention to it[1].
Comparison of efficiency of cloud computing with different algorithms According to the results in Figure 1, the data results of cloud computing are shown in Table 1.
The Core of Attributes and Minimal Attributes reduction in Variable Precision Rough Set[J].

The statistical analysis of tensile test data indicated that two distinct defect populations existed; one of which caused relatively few failures, but often accounted for a large reduction in fracture stress when present.
Using the data of Campbell and Green as an example, Tiryakioglu et. al. showed that the UTS data for the worst case running system was unlikely to result from a Weibull distribution.
Tabulated statistical analysis of normalised UTS data.
Conclusions The tensile test data gathered showed significant data-set to data-set variation in reliability.
Okten, On evaluating Weibull fits to mechanical testing data, Mat.