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On the whole, this data indicates the insufficient effectiveness of the known approaches to the prevention and prediction, based mainly on the physical phenomenon of heat and mass transfer under appropriate conditions [16, 17].
It results in the decrease in the molecular weight of the polymer, reduction of impact resistance and ultimate tensile strain [38].
(6) Essentially, condition (6) represents the formula of extrapolation forecast of durability according to the data of accelerated heat aging.
Reduction of the operating temperature to 0ºC increases the service life to 46 years.
Stanley, Window Seat Weight Reduction Exploration With Nontraditional Seat Geometry, Marine Techn.

Such an approach leads to an increase of overall efficiency of the power unit and, as a result, to the reduction of environmental burden, with the same amount of the energy obtained.
To determine such data, there is necessary to conduct real experiments and simultaneously stress-strain modeling considering issues of thermoelasticity and thermoplasticity by FEM methods [21] or even microscale methods basing on randomized simulation like Monte Carlo modeling [22, 23], DoE-based [24] surrogate modeling [25] or the adjustment calculus [26].
The savings translate into both a reduction in coal consumption and lower fuel costs.
An important gain, from an ecological point of view, is also saving in water consumption and sewage discharge as well as the reduction of noise emissions associated with start-ups.
Pietraszek, Numerical modeling of non-steady-state temperature fields with supplementary data, Z.

As such, effort is geared at reducing head injuries from concussion by optimizing helmet design through shock absorption increase and stress amplification reduction during impact.
The degree of reduction of concussion by a helmet is a function of the impact shock absorption capacity of the helmet.
Vilar-Carrasquillo and Anderson [18] studied the effects of externally applied foam used in football helmets for impact reduction.
The tetrahedron mesh consists of 2916 material, node and element data, 2997 material properties, and 160112 element data for the composite structure.
The reduction of the maximum stress and acceleration were due to the absorption of more impact load by the composite liner.

The model yields very good agreement with the experimental data and physically meaningful theoretical parameter values. 1.
The strain/force vs. time experimental data were automatically recorded, stored and treated on a personal computer.
Fig. 1a clearly shows that *τ decreases and 1τ slightly increase with the applied stress, at all temperatures, and Fig. 1b illustrate that all b data points fall on a single straight line with zero intercept and slope, b0, ca. 2.8.
Conclusions (1) A molecular model of non-linear creep has been developed; (2) the experimental data could be described by a log-normal truncated distribution of retardation times; (3) the model predicts that stress (σ) and time (t) variables are not separable, i.e.
D(t) ≠ f(t).g(σ) and (4) it yields very good agreement with the experimental data, as well as meaningful parameter values in terms of the physical mechanisms (at the molecular scale) responsible for the behaviour of a wide range of viscoelastic polymer materials.

Space System Modeling Method There are some methods for traditional system such as direct analysis, simulation, data analysis, statistical analysis and experimental analysis.
We can refer to the online satellite data of the day to constantly correct the artificial systems by the parallel system theory.
Simulation We get satellite TLE data downloaded from www.celestrak.com and load data.
So we use of the data processing capability of HPC server and make our data processing more effectively.
Calculated Agent data quickly References [1] Joslyn, C. and Rocha, L.

Read the data shown on LED of sensor, do three experiments, and testing time are separately 15min，30 min，and 60 min.
So testing temperature data is gotten at different six positions of inner emission pipe.
Record data is as in talbe1.
The temperature of emission pipe changes at different testing work state and the data are summarized and analyzed in figure 4.
In future, the studied cars is still used to do research according to the method mentioned above to form conclusion and specific technique plan. 4.The experiment plan is feasible and the data is valid.

The predicted values of the ANN coincide with the tested data.
Artificial neural network (ANN) is a kind of data mining and artificial intelligence technique.
One is training data.
The other is testing data.
This also demonstrates that as a typical data acquisition technique the neural networks can find the basic pattern information implied in a great number of experimental data, extract useful rules and then apply these rules to obtain reasonable predicted results.

The data obtained are used as the training and test samples to establish BP neural network models of ship’s maximum equivalent stress and maximum shear stress.
The training and testing are completed with the data tested by the shipyard and the correctness of this network is verified.
The data obtained are used as the training and test samples to establish BP neural network models of ship’s maximum equivalent stress and maximum shear stress.
There is a little difference between the results of the neural network trained by the shipyard testing data and the fitted values of neural network.
There is a little difference between the results of the neural network trained by the shipyard testing data and the fitted values of neural network.

The experimental data can provide the necessary basic data for the design and operation of the practical desulfurization equipments.
The experimental data can provide the reliable design basis for industrial applications of the process.
That means the absorption is strongly enhanced by the very fast reactions(At this time the enhancement factor is high.) and therefore the gas side resistance to mass transfer becomes important[8].The reaction (2) is largely completed when pH drops to about 6, where [SO3-] and the enhancement factor decrease rapidly with pH reduction, whereas the mass transfer resistance increases, so that the desulfurization rate falls quickly.
And the experimental data can testify to the sodium alkali desulfurization process whose essential element is a packed column has its significant technological advance and vast application prospect.
“SO2 Emission reduction and flue gas desulfurization project ,” Bei Jing:Metallurgy Industry Press, 2004, pp.151

Second, the improved locally linear embedding algorithm is used to reduce data dimensionality.
Using Euclidean distance to find nearest neighbors for each sample data .
Selecting the proportion of 50% from each type of data as the training set, the rest as the test set.
Experimental steps are as follows: Using the SVM algorithm to train and test the original data; Using LLE algorithm to reduce dimension for the original data, the neighbor number=3,4,5,,15, and the dimension value is the every value of dimension of the data set.
Then Using SVM algorithm to train and test the data; Using the method in paper to reduce dimension for the original data, other process similar to step 2.