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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.

Compared to the alternative MOS characterization, the non-contact method lowers the manufacturing cost and shortens the data feedback time from weeks to less than one hour.
Availability of C-V corresponding to DVlight data makes it possible to compare the present approach with the other direct method for flatband voltage described in ref. 4.
For a comparison, the corona non-contact 1/C2 data was differentiated and analyzed according to ref 4.
In the corona-Kelvin method the interfacial charge trapping DQit is manifested as a reduction in magnitude of the surface space charge change DQSC in response to the corona charge increment DQC.

The real rotating speed fluctuation solution could be obtained after the data of signal acquisition post-processing by the methods of frequency spectrum analysis and modal analysis.
Based on data of signal acquisition, using the methods of fourier phase frequency spectrum, logarithm amplitude frequency spectrum, and self-power spectrum, the quantitative expression under the quantitative analysis stable state was obtained.
Using these testing data, the appraisal of the shafting fatigue life should be analyzed and the torque amplification factor could be calculated.
Based on data of signal acquisition, using the methods of fourier phase frequency spectrum, logarithm amplitude frequency spectrum, and self-power spectrum, the quantitative expression under the quantitative analysis stable state was obtained.
The real rotating speed fluctuation solution can be obtained after the data of signal acquisition post-processing by frequency spectrum analysis and modal analysis.

Verification is based on comparison with data from industrial processes.
Shown are experimental data from dilatometer experiments (exp. data), the fit of the constitutive equation employed within the framework of this work (new fit) and the Zerilli-Armstrong model parameterized by Chen et al.
The model is purely phenomenological, but describes the experimental data for the full range of temperatures and strain rates fairly well.
The computed rolling forces are in reasonable agreement with the measured results only for these two cases of material models, which were fit to experimental data recorded at conditions similar to the conditions during rolling.
Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, 7th International Symposium on Ballistics, 21 (1983)

By identifying the complete shape of the signals and taking into account a larger quantity of data, it becomes possible to ascertain the three-dimensional location of damage sources from AE sensor records.
The leading-edge equipment adopted by the authors consists of six units USAM®, that can be synchronized for multi-channel data processing.
The damage level of a structure can be obtained from AE data of a reference specimen (subscript r) extracted from the structure and tested up to failure.
With increasing specimen scale, instead, we observe an appreciable reduction in failure stresses.
Furthermore, from a statistical analysis of the experimental data reported in Table 1, parameters D can be quantified (Eq. 2) [6].

This paper aims to analyze the values obtained in these situations and interpret the data to determine the influence that each factor has on the acoustic power compared with the values obtained (permissible) according to Directive regarding noise emission D 2000/14/EC.
Fig. 1 Flywheel SDG 3500 CLE Generator The equipment used to determine the sound power level is a measurement and analysis system based on PC - "System Type 3569 C PULSE multi-analysis" produced by Bruel & Kjaer, wich consists in 12 microphones with preamp, amplifier and signal conditioning module with 12 measuring channels, assisted by a notebook computer and software required for the acquisition, processing, interpretation and presentation of data in tabular form. [7, 10] Also, includes a calibration module type 4231 wich generates on the frequency of 1 kHz, a noise level of 94 dB or 114 dB.
After the last measurement channel calibration, the calibration program is closed and the data acquisition program is opened, according to the number of measuring channels.
After its execution, we need to run another program that takes the data from the previous one and processes them according to SR EN ISO 3744 which refers to the determination of sound power levels of noise sources using sound pressure.
This phenomenon occurs because of the existence of reflective planes that fosters reflection and amplify the two physical quantities analyzed; - Using the experimental data of the kind presented in this paper, together with the theoretical interpolation function adapted to the specific measurements, may give clues on identifying areas with high levels of pressure and sound power, helping to optimize noise reduction solutions in these areas.