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The main advantages of using SHM for maintenance which are the driving factors for research and development are their ability to monitor large areas and blind spots without disassembling parts resulting in significant reduction in the aircrafts ground time.
To develop and assess the meta-models for impact detection and identification, a data base of 1500 various impact scenarios (changing location, mass, velocity) on a sensorised composite panel has been generated via SMART FE simulation running on HPC units, see [9] for details of the numerical analysis.
This effect was added to the sensor signals to represent sensor data acquired in service, see Figure 2(a).
(a) sensor data with & without operational load (b) PDF of the correlations between FE and filtered signals; f=30Hz Figure 2 Statistical analysis – Influence of operational load A band pass filter was developed to denoise the sensor signals and remove the influence of the load before inputting them to the developed meta-model for impact detection and force reconstruction.
(a) PDF (b) CDFs and errors Figure 3 Statistical analysis –PoFA; empirical data and best fitting distributions Results and Conclusion In this work a statistical analysis was carried to study the effect of a range of parameters on the performance and reliability of the proposed passive sensing algorithm based on ANN.

The experimental SAXS data were normalized for the intensity of the incident beam.
Initial processing of the experimental SAXS data was performed using the PRIMUS software [5].
SAXS data of glass nanocomposites with 1% charged CdS heat treated at 650°C (B) and 2% charged CdS heat treated at 580 °C (C) and 650 °C (D).
SAXS data of CdS NPs in THEOS matrix: SAXS experimental intensity (dots) and scattering intensity from ab abito model (red line).
Results of numerical modeling of spatial model of CdS NPs (Fig. 2 top insert) revealed that CdS nanoparticle are not spherical, but are elongated structures, similar to cylinder or ellipsoid in contrast of spherical nanoparticles obtained by reduction in glass matrix.

In the present paper the crack growth methodology is used to make predictions that are then compared to experimental crack growth data for the F/A-18 and F-111 load spectra.
The predictions for the F/A18 case are shown in Fig. 2, together with recent experimental data and FASTRAN [13] predictions which does not account for notch plasticity.
Discussion As shown by the solid lines in Fig. 2 and 3, the current crack growth predictions for both the F/A-18 and F-111 cases correlate closely with the experimental data.
Taking into account the elastic-plastic response of the material results in a reduction of the stress near the hole thereby reducing the stress intensity factors calculated.
Results of the solution technique, when compared to experimentally measured crack growth data under F/A-18 and F-111 load spectrums, showed improved correlation over the FASTRAN predictions.

The tester included shear plate, plate-push device, and control and data acquisition systems.
The distance and shear force were measured and the dates were recorded by data logger.
Data processing and analysis.
Hence, the shear force was calculated by removing some initial data.
Moreover, travel reduction (slip) and tractive efficiency (TE) can also be obtained based on the traction prediction equation.

Table 1 Search prime time each mode occupancy ratio Mode is divided 16x16 16x8 8x16 8x8 8x4 4x8 4x4 Searches Consuming 1 2.35% 2 4.67% 2 4.98% 4 9.55% 8 18.87% 8 19.63% 8 38.98% From the above table it can be seen, 8x8 pixel macro block following the time occupied ratio up to 78.04%, and that the smaller the division of the macro block, while the residual data is encoded will be relatively small, but the need to more coding the motion vector, which is very likely for the entire macro-block coded data to generate an increased possible.
Table 2 Macro block pattern classification Mode Select mode 1 16x16 2 16x16, 16x8, 8x16, 8x8, 8x4, 4x8, 4x4 3 16x16, 16x8, 8x16, 8x8 Optimization of the test results Mode 1 Mode 2 image quality when compared with the more obvious decline, coding rate increase of 11.2%, while 22.4% encoding time reduction; Mode 3 with respect to the mode 2, the encoding bit rate increased 2.2%, while the encoding time is reduced up 7.5 percent.
As can be seen from the analysis of the above data, the mode 2 as compared to mode 1, although there is a great shortening of the time, but the image quality, bit rate increase; pattern 3 with respect to the mode 2, a small change in image quality, a code the rate of increase much, time is also a great degree of shortening.
IEEE Data Compression Conference.

Introduction OFDM is a kind of multicarrier parallel transmission scheme, divide the channel into several sub channels and put the high-speed serial data stream convert into a number of sub data stream whose rate is relatively slow and the data is parallel, also modulation the signal for each sub channels, at the same time make each signal to be orthogonally, so that spectrum overlap each other, thus improving the efficiency of the spectrum and reduce the mutual interference between channels.
And using IDFT for, converting the data in frequency domain to the time domain in order to get the time domain sample sequence of the modulated signal, after adding the guard interval, then to the time domain sequence for digital conversion, finally get the time domain waveform of the modulated OFDM signal.
The DFT of the receiver can be consider as the received signals convolution with the filter which the impulse response is , then a reduction of sample N.

With the use of image reduction and reconstruction, it can realize the optimization design of image.
Then the designed image transfers data to the computer receiving end through BeeCube platform, and the computer compares the received data with the software results.
In the process of calculation, the results of data processing are shown as follows.
Tab.1 Results of computer image processing Number of iterations Background rendering / frame Residuals 100 123 0.00122 200 156 0.00105 300 178 0.00086 400 205 0.00052 500 236 0.00011 Table 1 shows the statistical data obtained from the dance movements image processed by using computer multimedia technology.

Content of study 1) Based on cloud computing collaboration and sharing of teaching resources, to promote the "cloud" interaction, establish the standard system of teaching resources, ensure the effectiveness and real-time of teaching resources. 2) Construct the cloud service platform system of integration of teaching data processing, analyzing and application.
Through user-friendly windows, cloud computing configuration and management of the client, based on multiple layers of IaaS, SaaS, PaaS, the user can use the teaching data (educational content, educational feedback, quality assessment, etc.), interoperability, mutual urge, to establish education quality assessment system of full participation. 3) Create a student-centered cloud service platform, based on short-board of students' knowledge, push the service of animation teaching and practice for wrong titles, using virtual rewards and integration mechanisms, inspire and mobilize the enthusiasm of students, to establish good learning habits. 4) Utilization blended learning mode, with the teachers' classroom teaching, online animation and video teaching, the students obtain knowledge from online, school and other channels. 5) Solve the unfair problem of education, based on the technical level.
Platform pilot, 30% reduction in the workload of teachers, and learning-targeted to be increased by 50%, a 50% increase in enthusiasm for learning.
Bigtable: A distributed storage system for structured data.
Data mining using high performance clouds: Experimental studies using sector and sphere.

After the normal observation, the data was shown in Table 1.
It could be found Through data analysis that the work percentage of machines and workers were all rather low.
Figure 2 Schematic diagram of layout after improvement The original total route length is 467 meters, the modified total route length is 324.5 meters, the transport distance was shorten for 142.5 meters, the reduction rate was 30.51% .
The data statistics was shown in the following table.
Work sampling result after improvement Item Percentage(%) Machines Working 35.3% Not Working 33.5% Idle 31.2% In Total 100% Workers Working 61.4% Idle 38.6% In Total 100% The above data show that the improvement measures have achieved remarkable results.

Supposed , is respectively data modulated signal and interference correlation demodulated signal, then the short time spectrum and of the th code period data modulated signal and interference correlation demodulated signal are get: (19) (20) It can be seen from above that the short-time spectrum envelope of data modulated signal and interference correlation demodulated signal is decided by both spectrum amplitude of BF and inner product among interference spectrum amplitudes.
Design of TDCS basis function As the amplitude of BF and each interference frequency point obeys [0,] uniform distribution, a inequality is get: (21) Then after band pass filter output, the power ratio between the th code period data modulated signal and channel noise is: (22) where, (23) Then the particular expression of is derived: (24) where , the band with of baseband signal is .
Reduction of peak-to-average power ratio in transform domain communication system[J].