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The data-aided method utilizes the correlation of the training symbol itself to conduct estimation.
Among data-aided algorithms, the method proposed by S&C is most popular [4].
S&C algorithm identifies the start position of the OFDM useful data symbol by searching the relevant peaks of reduplicate parts.
By , it will be found that the samples on both sides of the symmetry center could satisfy complex conjugate only when alignmenting the start point of the OFDM useful data.
When alignmenting the start point of the useful data of the OFDM symbol, the correlation between the received training symbol and the produced training symbol on the receiving end will reach a maximum.

The obtained equation is given as equation (5) and the R-square corresponding to the fitting is 0.9976 indicating the quality fitting of the experimental data.
The values calculated using the liquid drop model differs significantly with the literature value [36], whereas surface phonon instability model agree with the experimental data.
Figure 4 is the comparison of melting temperature depression of the gold nanoparticles calculated from LDM & SPI models and experimental data reported in the literature [15].
Melting point depression for gold nanoparticles calculated employing SPI model and LDM differs significantly from experimental data and are lower than experimental data.
Availability of Data and Material Not applicable.

Analysis of Geological Disasters Economic Evaluation Qinghua Zhan1,a and Shimei Wang1 1Three Gorges University Institute of Civil Engineering and Architecture, Hubei Yichang ajingjing-yc@126.com Keyword: Geological disasters; Economic evaluation; Multi-level fuzzy comprehend- sive evaluation method; Statistical data evaluation method Abstract: This paper first introduces the meaning and mission of the economic evaluation of geological disasters, as well as the basic concepts of different economic evaluation, and then discuss the methods of economic evaluation of geological disasters, including multi-level fuzzy comprehensive evaluation method and statistical data evaluation method, and gives the outlook of the economic evaluation of geological disasters.
Economic Evaluation Study of Geological Disasters On the basis of the economic evaluation of the geological disasters purpose is to get a lot of information on geological disaster information, through the analysis of the economic effects of a variety of disaster prevention and mitigation and relief measures, thereby determine its economic and social benefits, providing a quantitative basis for the government to formulate programs and policies of the disaster prevention and disaster reduction and relief, so that improve the effect of the use of mitigation investment.
Statistical data evaluation method.
It is in the investigation of the statistical basis according to some intrinsic linkages between disaster data or trend, it can infer for Loss of the year which there is no quantitative data, disaster economic losses evaluation method through the statistics evaluation method can conduct quantitative evaluation for the direct economic losses and indirect economic losses, which can use accurate assessment of the value of the loss as a reference for disaster economic evaluation.

Recent advancement in technology leads to 25% reduction in weight and 35% reduction in counterparts.
In recent times, SVM is one of the best classifier in data mining as it gives high accuracy and less generalization error [9].
Accelerometer on bearing housing Data acquisition and signal conditioning Statistical feature extraction from vibration data Training of SVM using statistical features Gearbox fault diagnosis using trained SVM Accelerometer on gearbox top Figure 1.
The accelerometer is connected to the m+p Vibpilot 8 channel data acquisition system and it is processed through SO analyser software.
Bordoloi, Multiclass fault diagnosis in gears using support vector machine algorithms based on frequency domain data, Measurement. 46 (2013) 3469-3481

When the factory bound and noise-sensitive structures distance less than 1 m, indoor plant boundary environmental noise measurement noise sensitive buildings should be in, and the corresponding reduction of noise emission limits 10dB (A) as a basis for evaluation.
Factory premises equipment generally more and azimuth, working time, there is uncertainty in the open, therefore, in order to obtain scientific, high accuracy data, you need to choose a reasonable period of time to ensure that all measuring devices may generate noise are in the open state, and recorded under the orientation of the device.
Figure 2 Factories and noise distribution factory out environmental assessment point pressure data.
Table 1 Environmental assessment point total sound pressure level table Noise source code 1 2 3 4 5 6 7 8 A-weighted sound pressure level (dB) 82 80 92 89 84 90 88 87 factory out environmental assessment point sound intensity data Figure 3 Factory 1 sound intensity figure out station (a) is on the left side of the measuring point area(b) is the lateral area measuring point(c) is a point on the right side area Figure 4 Measuring points 2 test area map Figure 5 Sound intensity measuring point 2 on the left side of the area chart Note: white column represents the sound intensity value is +, gray column represents the sound intensity value is Figure 6 Side area measuring point 2 sound intensity diagram Figure 7 Right area measuring point 2 sound intensity diagram The factory sound pressure level data Table 3 Qt all sound source within the octave of sound pressure level table Noise octave sound pressure level (dB) Noise source center frequency (Hz) 31.5 63 125 250 500
The technology of the sound pressure and sound intensity combination to identify environmental noise source can accurately identify the produce noise at boundary of the main sound source, which can be targeted to noise reduction of noise source, avoid troubleshooting each noise source noise reduction, which can save a lot of manpower, material and financial resources and has great application prospect.

Introduction In the data analysis, often need to deal with the massive data set.
These data sets contain some redundant or even irrelevant features.
Method of Data Grouping.
Experimental Result and Analysis Experimental Sample Data Sets.
It was only slightly lower on the data sets of Soybean-large and Zoo on, but higher on the other data sets.

AFM analysis Although SEM analysis (data not shown) indicated that the PPy-drug coated on Ti samples possessed a smooth PPy film coating, AFM at high magnificantion showed significant nanoroughness of the PPy thin films (Fig 3).
In the curve fitting of C 1s, C-F was found on PPy[Dex]-Ti (data not shown); thus may indicate a small amount of Dex within PPy membranes.
Both oxidation and reduction, which preserve the electroactivity of PPy membranes, can be observed within the first 5 cycles of CV.
However, only the reduction peak was observed after 5 cycles, due to the irreversible release of the anionic P/S molecules.
After 25 cycles, the reduction peak was not observed, as shown in Fig. 5 (a).

The collection of periodic profiles of oceanographic data at specific bites is a critical component of oceanographic monitoring programs.
To meet a program requirement for long time series data from the near surface to the certain depth, the profiler concept was considered.
All data collected by the instruments is relayed via the instrument float line to its winch drum where it is stored.
This is easily achieved by employing a 10:1 mechanical reduction between the two drums.
The CTD on one of the floats records profiling data from surface to certain depth while wave current meter is fitted on the big float to record datum of wave, tide and current.

It includes three major steps in this process: selective chlorination of the concentrates for extraction vanadium using industrial chloride wastes, direct reduction for producing DRI at medium temperature, and separation of hot metal from slag at elevated temperature.
The mechanisms of selective chloriding for extracting vanadium, direct reduction, and seperation of hot metal and slag are discussed using metallurgy and physical chemistry as the theory combining with the related modern analysis methods.
Furthermore, the optimized parameters for each step are approached in this project in order to provide theory basis and solid experimental data for commercial process in the future.
Barin: Thermochemical Data of Pure Substances, VCH Verlagsgesellschaft mbH, Weiheim, Germany (1997)

For unidirectional CFRP sheets, obtained from the manufacturer’s data sheets, the nominal thickness of one ply of the CFRP reinforcement tcf is 0.111 mm.
For epoxy resin, obtained from the manufacturer’s data sheets, the bonding strength of epoxy resin primer is 3.2 N/mm2.
Load cell was recorded automatically at each load increment for using data logging equipment.
With width reduction coefficients, the rectangular cross section was translated into indented cross section, as shown in Fig. 8.
The reduction of bending stiffness exhibited the influence of fire exposure for the fire-damaged beam.