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Therefore, the natural frequency increases with respect to the reduction of number of active coils.
(2) Where, The results are compared with the experimental data in Fig. 7.
The simulated result agrees well with the test data.
The measured natural frequency can be direct used as the input data to predict valve spring surge characteristics.

Secondly, the parameters of model were achieved by using vector fitting method based on the measured impedance data under different voltages.
Experimental data at low frequencies (Fig.3) showed that the capacitance C increased with the applied voltage within the specified voltage range.
One possible explanation for the increase in capacitance with voltage can be due to the electrolyte dielectric constant increase, or, to the reduction of the distance separating the charges at the electrode/electrolyte interface [3].
The electrochemical impedance spectroscopy (EIS) experimental data is used for parameter identification at each voltage.

Fig. 3 Model calculated data and observed data fitting curve Modeling Result Water Balance.
The head data of the shallow and deep aquifers in 2008 were shown in Fig. 5.
In all, the deep groundwater of over-exploited area varied greatly during the years 2009-2023 that reflected in levels restoration and scope reduction of the cones.

In order to enhance the robustness of the matching, each feature point use 16 seed points to describe, and each seed point concludes eight directions vector information, Therefore, a feature point can produce 128 dimensional data, which need image data block is 16 * 16.
In order to accumulate the X-ray digital imaging system in the production of field application experience, and with different voltage levels of the tank circuit breaker test data to the right, firstly, the 2571 circuit breaker is measured shown in Figure 1(a).The tank circuit breaker tank diameter is 68cm and the distance of the cement units to the bottom of the tank is 90cm.Thus, the fault location of the tank circuit breaker is predicted, Fig.1(b) describes the test location, and Fig.1(c) is detecting the X-ray image of 2571.
Compared with the conventional SIFT algorithm, the dimensionality reduction by feature descriptor to improve the speed.

System framework General framework of the intelligent online monitoring and anti-theft system for underground cables comprises an anti-theft device, a remote monitoring subsystem and a server acting as the data center, wherein the anti-theft device, as is shown in Fig. 4, is composed of an ARM processor as the overall controlling component responsible for receiving and sending controlling instructions, a constant DC input module for generating and feeding detective signals into the cable ground loop, a signal processing module for detecting the voltage of R0 and amplifying the signals, a fault diagnosis module for determine whether a failure is occurred and a GSM alarm module for sending alarm SMS when needed to inform a cable failure.
Fig. 4 Framework of the anti-theft device Anti-theft devices, each installed in one of the distributed substations, are connected by branches of underground cables and provided with network communication interface by which the anti-theft devices can communicate with the data center, so that a local area network composed of anti-theft devices, cables and the server is built up.
The remote monitoring subsystem installed in the data center where the status information of the branch cables are aggregated, analyzed and stored can monitor the running status of each device in real time.
Loss reduction.

Furthermore, high temperature at the Neodymium-Iron-Boron (NeFeB) permanent magnets could cause the reduction of magnet’s magnetic fields strength and eventually reducing the generator’s efficiency.
Based on the data collected, the winding coils temperature is founf to settle after 9 hours and no peak temperature is detected as shown in Fig. 2.
To formulate an empirical thermal model for the winding coils temperature in a controlled environment based on the data collected, a regression analysis was used together with a curve fitting method.
Conclusion From the data presented, it can be concluded that there is a minor effect of the room temperature on the winding coils temperature.

Again, the defect of high computational cost is easily handled by the AdaBoost feature selection component of the Ada-AdaSVM. 3 Feature Reduction The boosting algorithm boosts the performance of weak binary classifiers by strengthening training on misclassified sets.
The scheme of the algorithm is to weight a set of weak classifiers in respect to a function of the classification error .The feature selection algorithm can be simplified as follows: Step 1: Calculate the probability distribution of the data according to the weights and set the initial distributions and weights to be equal to each other if prior knowledge about them is unknown.
Step 2: In each iteration, call the Weak algorithm K times to leam the N*M number of data, M = number of features) according to a single feature each time.
The statistics presented in 2 indicates that the proposed spent far lesser time to process the same amount of data than any of the three popular methods.

A plausible mechanical relationship between mat properties and injury risk has been established by experimental data and mathematical modeling.
Method Movement of salto backward stretched with 3/2 twist was captured by two high-speed video cameras, and then kinematics data were digitized by using SIMI Motion 3D analysis software.
Simulation Process Define segments and joints of human body model, and then transform kinematical data with Simi motion into motion agent of human body by programming with python language.
Standard test ability to measure impact forces reduction on mats [J].

For this analysis, a computer code producing the walking gait pattern by processing the raw data of walking experiment has been generated.
These raw data were utilized as the inputs to the computer code mentioned above and the variations in the angles, angular velocities, accelerations, torques, powers and reaction forces of the lower limb joints were determined.
The motor revolution is transferred to the nut by the toothed belt with the reduction ratio of 3.2:1.
Knee flexion angle() Knee joint angle () Joint arm angle () Displacement of screw () 0 180 130 0 30 150 97 20.92 60 120 68 43.49 90 90 41 62.05 4 .Conclusion This paper involves a new type of four bar knee virtual prototype intelligent structure, the advantages of such a multi-axis knee joint and the experimental data.

The chemical properties of this material is so stable that it can’t be decomposed even in high temperature and that the capacity of battery made of it have little reduction after 2000 circle.
XRD data were collected by a step scanning mode in the range of 10°-70° with a scan speed of 8°/min.
These data indicate that the ball milling can improve the chemical diffusion coefficient of lithium.
According to the test data and the above theories, the cell with the composite milled 12h had smallist internal resistance.