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Firstly, the data sources were introduced and the typhoon landing areas are all over the east coast of China were analyzed.Then, development trends of the affected area, deaths, houses collapsed and the direct economic losses were studied in detail.
Typhoon disaster data Typhoon disaster data were from tropic cyclone disaster database provided by China Meteorological Administration (CMA), Ministry of Civil Affairs of China and Disaster Reduction Center of Chinese Academy of Sciences.
These data included 134 typhoons from 1985 to 2006, which were used to establish a typhoon economic vulnerability curve between typhoon intensity grade and direct economic loss.

In the current study, grain-scale variant selection is described in terms of quantitative data analysis.
Instead of using conventional ODF's, here Rodrigues-Frank space is employed to represent the orientation data.
If each data point in the orientation map is considered as a "grain" with a specific orientation, the data can provide information about the "texture" of the scanned area.
The intensities were calculated from 1.3 million data points, of which about 96% were from the bcc and 4% from the fcc phases.
Here, a recent dislocation-based model [3, 9] is evaluated using the orientation data obtained from individual γ grains.

SVM supports small sample of data, but also has advantages as low computational complexity, high sparse model, support for multiple classification and class membership probability calculation and so on.
As shown in Fig.1, we choose high fidelity bullet pinhole type noise reduction micro sound listener to collect acoustic signal in circuit breaker operation.
Fig.3 Acoustic signal EEMD decomposition envelope 3 Experiment Analysis Data of this paper comes from the collection of data LW59-252 type SF6 circuit breaker, normal, institutional jam, lack of lubrication of the experiment data of acoustic data under three kinds of breaker status. 3.1 Feature Extraction According to the fault feature extraction method mentioned in section 2, calculate energy entropy IMF under various states as shown in Table 1.
Taking experimental data of high voltage circuit breaker were calculated energy entropy of EEMD decomposition as feature vector input support vector machine, half of the data which is used as the training data, the other half as the test data set which is used to test the correctness of diagnosis.
At the same time, the SVM method can be applied to the fault diagnosis of high voltage circuit breaker which is small sample data set, and construct more reliable model through choosing different kernel function. 4 Conclusion In this paper, the high voltage circuit breaker fault diagnosis based on acoustic data is mainly studied because of there is very strong sound signals when high voltage circuit breaker acts, the acoustic signal will change while the circuit breaker motion state changes.

Then by fitting angle-dependent reflectivity data to modeling theory, the arrangement of the director and some importance parameters of liquid crystal cell are obtained.
Results and discussions The multilayer optics [5] and continuum elastic theory of nematics are used, and the reflectivity data are fitted to a model giving the full director profiles within the cell with different voltages.
Comparison of experimental data with theoretical reflectivity curve for ITN-Cell with external potential of 0 Vrms (1kHz) at 632.8nm wavelength: (a) the polarization-conserving signal Rss; (b) the polarization-conversion signal Rps.
Comparison of experimental data with theoretical reflectivity curve for ITN-Cell with external potential of 6Vrms (1kHz) at 632.8nm wavelength:(a) the polarization-conserving signal Rss; (b) the polarization-conversion signal Rps.
Using multilayer optical theory to fit the angle-dependent reflectivity data, the director full profile and the material parameters of the cell are obtained, as shown in Table 1.

Product-ion Measurement method of fuel saving technology for automobiles GB/T14951-2007 Evaluation, test method, experimental data processing and evaluation project.
The survey data were obtained from a number of large and medium-sized road transport enterprises.
Through the calculation of the average, the statistic data was shown in table2.
The R2(R square) was used to describe the degree of data fitting the model.
It has important meaning for energy conservation and emission reduction about transportation industry.

We replaced them by 14-bit data acquisition card (DAQ).
Using external trigger chain allows to use digitizers with lower data throughput (USB, LAN) and relieve data processing part from work on rapid signal parts.
First, a simple command line utility to set up the ADC card and acquire data into a file was developed.
Data were evaluated using MePASto software [9].
Rosinger: Computerized Data Reduction and Analysis in Positron Annihilation Coincidence Doppler Broadening Spectroscopy, American Journal of Undergraduate Research, Vol. 2 (2003), p. 13 [10] Informational website of SourceForge Group, [online] SourceForge.

Furthermore obtained data from the wearable motion sensor were compared to the general estimation parameters such as performing time and Activities of Daily Living (ADL) score.
In aged society, the increase of elderly population gives reduction of physical abilities and increasing the risk of falling.
Analysis Following parameters are calculated form acceleration and angular velocity sensors 1) RMS RMS of each direction were calculated as the indices of walking ability related to the balance where Xrms ：RMS of acceleration signal, N ：Number of data and Xi ：Data of ith number 2) Auto correlation function Autocorrelation function of vertical acceleration was calculated and evaluated of symmetry of the both legs Where h is hth auto-correlation function, r is Correlation coefficients, N is Number of data, Xi is Data of ith number and x is Average.

An explanation for the observed influence of structure and dispersion factors on the melting parameters has been proposed on the basis of X-ray diffraction data, electron microscopy, and model calculations.
From the data in Fig. 2, b, the melting parameters of the submicron Cu particles are indirectly related to their size: the smaller the size of Cu particles, the more amount of oxide they contain, and the greater deviation of the value DfusHsp from the standard one is observed.
Obviously, it is of fundamental importance to analyze in detail the influence of the very thin superficial films, possible impurities, and substrates/matrices on the properties when interpreting unusual experimental data for nanomaterials.
The model calculations, which took into account the effect of the oxide shell thickness on the value of the specific heat of fusion, were performed; the results of calculations were compared with experimental data.
Zhai, Size-dependent melting properties of Sn nanoparticles by chemical reduction synthesis, Trans.

Based on the daily climate data in winter and relative meteorological yield of loquat for 2 meteorological stations in Putian from 1992 to 2009, this paper studied the disaster-inducing factors and integrated climatic index for low temperature injury of loquat.
Material and methods The data used in this paper includes daily mean temperature and daily minimum temperature in each winter season (from December to February) of two meteorological station in Putian City, Fujian Province, because the yield data of loquat had only from 1992 to 2009 continuous recording, therefore we determined the starting and ending time of data was from 1992 to 2009 in this study.
In order to test the representativeness and accuracy of the integrated climatic index of low temperature injury, the data of main loquat production area were made a trial calculation in Putian City, Fujian Province.
In these years, the low temperature injury caused the yield reduction.
Due to the limitations of the data, the study was only considered the impact of low temperature injury on loquat production.

The stent is found to exhibit a fatigue life reduction with the increase of the expansion diameter due to ratchetting strain.
Therefore, the fatigue behaviour of the stent must be a main design consideration to prevent in-service rupture while keeping competitive advantages and achieving manufacturing cost reductions.
This law is defined as an additive combination of a linear term and a relaxation term, which introduces the non-linearity: α=Cσ0σ-αεp-γαεp (4) where is the equivalent plastic strain rate, and C and γ are the material parameters that are normally calibrated from cyclic test data.
This model is based on the Smith-Watson-Topper (SWT) relation, given in Bannantine et al.[34], and expressed as: FP= ∆ε2σmax+J∆γ∆τ (7) where the symbol denotes the MacCauley bracket (i.e., ), is the fatigue parameter, is the normal strain range, is the maximum normal stress, is the shear strain range, is the shear stress range, and is a load- and material-dependent constant and is obtained from traction/torsion test data.
On the contrary, when the width of the strut is decreased the reduction in constraint is promoted by the low number of grains of harder orientation and the apparition of softer zones, characterised by a stress raiser area, is privileged.