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Before performing the finite element analysis, the actual shoe insole was scanned by a 3D laser scanner to capture the surface contour and translate into point-clouds data with shape.
The data scanned is imported into CATIA V5 to restructure and develop a 3D solid model using surface and part modeling technique.
Dynamic loading pressure data collected and Table 1 shows the outcome measurement for four subjects using two different types of insole materials.
The data gave valuable support to the subjects’ statements, where the peak contact pressure decreased when insole made from PU and poron worn as compared to when using EVA insole.
Based on the statistical analysis of sEMG data (mean values), the authors found that the muscle effort level in all muscle were reduced when wearing shoe insole made from combination of PU and poron.

Experimental data so far show that most beneficial effect of nanostructures comes from the phonon thermal conductivity reduction, while the electron performance has maintained to a level that is comparable to that of their bulk materials.
The experimental data from these superlattice structures show that thermal conductivity reduction plays a central role in the reported ZT enhancement, while the electron performance that determines the numerator of ZT, σS 2, has maintained to a level close to that of their parent materials..
Theories have been developed to explain the thermal conductivity reduction in quantum wells and superlattices, first preceding the experiments and later concurrently with increasing experimental data.
These models can explain experimental data for superlattices with periods thicker than ~5 mono-atomic layers.
Comparison with experimental data (Fig.1), however, shows that the group velocity reduction alone is insufficient to explain the magnitude of the thermal conductivity reduction perpendicular to the film plane, and it fails completely to explain the thermal conductivity reduction along the film plane [13].

The data of Chang’an University indicates that little difference exists when the mixing amount are different, and the viscosity reducing range of several asphalts with different dosages have reached more than 20% at 120 ˚C.
The data of Tongji University shows that when Evotherm was used to modify SBS asphalt, a good viscosity reduction effect has been achieved when a small dosage (1%) is taken and a maximum viscosity reducing extent (22%) was got at 135 ˚C.
The data of Chongqing Jiaotong University indicates that different dosages of Sasobit modified asphalt’ viscosity reductions are more significant at 120˚C, which reach more than 20%.
As can be seen from the data of Chongqing University, with the temperature increasing, the viscosity reducing extent increases first and then decreases, and reaches the maximum at 120˚C, the viscosity reducing extent basically from 19% to 26%.
Under the optimum dosages at 120~135˚C, the reducing viscosity effect is significantly and the range of viscosity reduction is among 10～30% affected by Evotherm, the range of viscosity reduction is among 20～40% affected by Sasobit, the range of viscosity reduction is among 15～25% affected by Aspha-min.

In a multi-sensor network, large amount of data are transmitted from various sensor nodes to the base stations and intermittent loss of data in signal packages received at the base stations is to be expected.
Next, by using only data from ns-1 sensors, another set of PDE can be identified.
Data Loss Reconstruction for Wireless Sensor The reconstruction makes use of Fourier transformation.
Damage is simulated by imposing a reduction of 20% in the Young's modulus of column element 7 and 20% reduction in axial stiffness (EA) of truss member 14.
This can be confirmed by omitting data from the sensor at node 9 instead.

Research of super capacitance in automobile industry Yu long Zhang a, Yin Shan Wang b, Ze Xu Wu c Tianjin University of Technology and Education Automotive and Transportation Tianjin 300222 azyl41132519830@163.com, byinsanwang@yahoo.cn, cwuzexu2007@126.com Keywords: super capacitor; Vehicle power supply; Energy recycling; Hybrid mode; Energy conservation and emission reduction Abstract: this article introduces the current car which is in circumstance of regulations more and more strict and energy increasingly tense, super capacitor car have the significance of realizing energy conservation and emissions reduction.
Focus on the analysis of the super capacitor car in different conditions, energy flow and power distribution process in the hybrid model, which provides theoretical basis for super capacitance car realizing to energy conservation and emissions reduction.
Also in 2009, from skin YouCi trust foundation data of clean energy investment, China is leading the world more than us $18.6 billion to $34.6 billion.
The three way dynamic collaborative orderly job and satisfy car complicated condition needs , achieving energy saving and emission reduction.
Conclusion This article mentioned the severe requirements of car from the energy and the regulations for energy conservation and emissions reduction, countries increase the capital investment in the development of new energy vehicles, This suggests that car with energy conservation and emission reduction have broad prospects.

On the other hand, there is much more complexity aspects which are mixed application of the graphical data, the image data, the attribute data and some others.
This paper will focus on the exploitation of Data Collection and Data Aggregation.
Data Aggregation As Data Aggregation [6], it is to make reduction process by local processing, the amount of data to be transmitted.
With the development of data mining and academic research about the data warehouse, it is easy to build the data system with the OLAP (on-line analytical processing).
Accurate data aggregation for VANETs.

In order to quantify the data shown in Fig. 1, we used the software ImageJ to count the dislocation content per unit area of each sample.
When solving equation 2 for 10-, 60- and 360-min we observed a very good agreement with our experimental data.
Even though the error bars of the data points in Fig. 3 are on the order of 25% we can confine our data between the 360- and the 10-minute lines, which correspond to our highest and lowest experimental holding times respectively.
In order to extract the activation energy from our experimental data using equation 3, the dislocation density reduction versus time was plotted for a constant annealing temperature (1350°C) and fitted using a nonlinear code in MATLAB.
Given the fit to our experimental data, the mechanism of dislocation reduction appears to be pairwise annihilation, with an activation energy of 2.1 ± 0.2 eV.

When we apply the rough set theory, the data in decision table are required to be discrete.
Rough Set: Theoretical Aspects of Reasoning about Data.
A GA-based approach to rough data model.
Intelligent Data Analysis, 2001,5(5): 431-438 [39] Tay E.H., Shen L..
IEEE Transactions on Knowledge and Data Engineering, 2002,14(3):666-670 [40] Su Chao-Ton, Hsu Jyh-Hwa.

The data acquisition and control algorithm is implemented in the MOTOTRON ECU.
The SNS control module communicates with the engine control module (ECM) through the SAE J1939 (CAN1) data link [7].
In DFT, the sequence of N data points x(1), x(2),…, x(N) is transformed into the list of coefficients of a finite combination of complex sinusoids, ordered by their frequencies.
Only the frequency range from 0 to 2 Hz of the spectrums are shown due to the fact that the Nyquist frequency of the sampled data is 2 Hz.
Moreover, discretization distortions (small amplitude steps) resulted from digitization of the continuous data during data acquisition can be clearly observed.

The work-hardening behaviour has been analysed for different temperatures and strain rates by fitting a generalized Voce rule to the tensile data.
The data processing of the test results from the SHTB was done in accordance with the procedure explained by Chen et al. [2], where more detailed information about the applied SHTB may be found.
Only processed data will be presented here.
Again, the generalized Voce hardening rule is here used for convenience, to facilitate the comparison of the data at the different strain rates.
A generalized Voce rule has been fitted to the experimental tensile data.