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An ISA-Labram with a 50 mW argon ion laser was used to obtain Raman spectra, the D and G peak intensities were extracted using a double-Gaussian fit and by comparison with data in [1], an estimate of the sp 2/sp3 bonding could be obtained.
Fig. 1 Raman ID/IG ratio for a-C:H films, of various thicknesses, deposited onto silicon, metal and polymer substrates. 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 10 100 1000 T hickness (nm) ID/IG C r PTFE Al Ni Si Steel 0 1 2 3 4 5 Si A l Ni Cr S ubstrate material BDS [MV/cm]In Fig. 2, the plot of breakdown strength shows the reduction in a-C:H quality for deposition onto metal.
The effect of annealing is controlled reduction in sp 3/sp 2and the suspected removal of hydrogen Relative parameter values, from hardness and Raman are shown in Fig. 3, against Si content, normalized with respect to undoped DLC values.
The average reduction of friction with DLC, compared to polymer, was ~ 20% but increased to ~ 33% for optimised films.
Across the stent, the inner surface Raman ID/IG is higher than the outer surface, indicating a lower sp 3/sp2 ratio, i.e. a reduction in quality, Fig. 8(a).

Situation of Feed-water Treatment for Supercritical Unit Introduction of Feed-water Treatment for Supercritical Unit At present, there are three main types of feed-water treatment technology for supercritical unit, namely all volatile treatment (reduction), all volatile treatment (oxidation) and oxygenated treatment, also known simply as AVT (R), AVT (O) and OT [1].
After adding oxygen, the oxidation-reduction potential of Fe-H2O system rises from -300/400 mV in AVT condition to +100/150mV.
Moreover, certain relevant data shows that hydrazine has a great influence on oxygenation process.
Consequently, the protective film efficiently restrains flow accelerated corrosion, leading to notable reduction of iron content in water-steam system
There is a visible reduction in pH range (8.0～9.0) during OT operation, compared with the range of 9.0～9.6 (unit with no copper) in AVT condition.

The Ericsson cycle maintains several advantages over the typical Brayton cycle even in the absence of heat regeneration, particularly concerning the NOx and pollutant emission reduction.
The expected practical outcome will be thrust increase and pollutants reduction.
Furthermore, both the experimental and the numerical data will be analyzed using state-of-the-art modal decomposition, not only considering the mean and fluctuation but also identifying the coherent structures and organized structures contributing to mixing, stabilization or local extinction.
Thermodynamic Cycle Analysis for Overall Efficiency Improvement and Temperature Reduction in Gas Turbines, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 9 (4), 2015 [4] Amend E.W., Petrick M., Pierson E.S.
Emissions Reduction Technologies for Military Gas Turbine Engines, Journal of Propulsion and Power, 21 (2), 2004 [44] Bunker R.S.

The most effective isolation technology is to use rubber isolation bearing, but the change of the compression strain field of rubber material has no feasible law so far, and the properties of rubber material will directly affect the performance of the isolation bearing, resulting in the reduction of the isolation effect of buildings or structures.
In a large number of optical pictures taken by the camera, there are a lot of noise data, and there are still many optical black spots or bright spots.
If we can remove these interference factors such as noise data and bright and dark points, the data will be more effective.

In industries such as aerospace where the reduction in weight leads to reduced fuel consumption and hence reductions both environmental and financial costs, such systems are increasingly attractive.
Autonomous systems such as the one shown in Fig. 1 in which power is provided locally to the sensor to enable processing and wireless transmission of the data collected are of particular interest since the cost and weight implications of extensive wiring looms are also avoided.
The vibration data taken from an aircraft’s wing panel presented in Fig. 5 clearly shows that the amplitude of vibration is variable throughout the frequency range and stages of flight.
Further work will therefore be carried out to incorporate more accurate data where available.
However the availability of vibrational data of an aircraft wing panel remains limited and would be highly dependent on the environment and length of flight.

Data analysis of the process of manufacturing assembly lines Assembly lines are the technical means which provides a sequence of production by means of moving conveyors.
Data analysis of the process of manufacturing assembly lines Efficiency of assembly lines represents the efficiency of various workstations, which expresses the ratio of cycle time to cycle time.
Its content consists of the following data: · Number of workstations for each assembly line
Based on these data, we can create a chart that evaluates the cycle time for individual workstations.
Substituting these data describe operations on workstations No. 12-17 we created a clear graph Yamazumi.

In fact, the study based on time series data is very difficult to separate research with extension [7].
The model is only in one direction, without correlation between the residuals of endogenous observed variables. 3.2 Data and samples selection In China, most of ASTP have been undertaken by universities, research institutions or experimental station.
The data from 1994 to 2012 are sample of the study coming from “China Statistical Yearbook on Science and Technology” and “China Rural Statistical Yearbook”, and these are continuous and available.
The evaluator can assess the project by collecting the data of relation chain.
All conclusions are very useful to researchers and stakeholders to know the success of project after the data of every node could be ever clear.

On the basis of the results of these experimental data, the optimal experimental conditions for photocatalytic degradation of diesel are tried through the orthogonal test.
From the XRD data, the particle size has been calculated and is 14.01nm, 19.80nm, 38.41nm and 63.71nm, respectively.
The design matrix and experimental data were listed in Table 2.
From the mathematical processing of the data, some results can be concluded as follows.
From the XRD data, the size of Sn-doped TiO2 powders calcined at 400°C, 500°C, 600°C and 700°C were 14.01nm, 19.80nm, 38.41nm and 63.71nm, respectively.

A high R2 value (0.956) was given by the ANFIS model and AAPE of 10.14%, indicating that the predicted data agrees well with the actual data.
The training data set (75% of the total data) was loaded into MATLAB.
The R2 was calculated based on the actual and predicted data.
Based on the distribution, it can be seen that the predicted data agrees well with the actual data with the correlation coefficient (R2) was 1 for the training data, and the absolute average percentage error (AAPE) 0.0003% while for the testing data, 0.956 for the R2, and AAPE 10.14% (Figure 4 (b)).
Actual and predicted efficiency (%) for training data (a) and testing data (b) The model was then used to predict the trendline of each parameter.

Thanks to these new techniques it is possible to carry out a smart Health Monitoring system which is going to lead to the reduction of time and maintenance cost and to the increase of the aeronautical structure safety and reliability.
Those singularities, which are put down to environmental noise only, induce any data distribution to swerve from a normal distribution.
If we take in account the output of the neural network whose input data are the gradually increasing perturbations of the second family FRFs, we note that the reconstruction error increase and the estimator curves shift coherently toward the right (Figure 5).
After having trained a neural network it is possible to estimate the error which is in its output by means of the analysis of the linear regression between the network output and the corresponding target (during the training we assume that target coincides with input data).
Conclusions The aim of that work has been the development of a Non Destructive Test (NDT) which meet to most of the mandatory requirements for effective health monitoring systems, simultaneously reducing as much as possible the complexity of the data analysis algorithm and of the experimental acquisition instrumentation; these peculiarities may, in fact, not be neglected for an operative implementation of such a system.