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In this paper, we increase the type of stimulus signal, then obtain the data under different pulse and amplitude conditions.
We select square wave and machine model ESD and the corresponding response data as training data.
Validation data we select 250ns, 630V square wave (EMP 1), 1035V machine model ESD (EMP 2), 485V metal body model ESD (EMP 3) and the corresponding response data.
Neural network modeling Model Identification.In order to reduce the amount of data and the gap between data, improve the efficiency and accuracy of network computing, we use 1/10 resampling and wavelet noise reduction.
Because EMP 1and EMP 2 are similar to training data, their predicted effect close.

When operating the NC machine by manual, the cutting parameters are determined by milling quantities manual, practical data or technics experience.
Another is choosing the best data among the quantified values that ensure minimum cost or the process time.
The middle zone of window is for calculation and finding some parameters data.
v /( z)=2.912/(11.167*8)=0.032mm/z n The output data are： =11.17r/s， cn fca =0.046mm/z, fc e Cutting parameters selection with castigatory function method.
The comparison of the results of three methods can be shown by processing the data, see Fig.2, Fig. 3.

Introduced the course of development of the public bicycle transportation, elaborated public bicycle traffic characteristics systematically, determined the applicable conditions by actual survey data, and proposed the layout of the public bicycle transportation planning points.
Table 1 Energy consumption and exhaust gas emissions Traffic way Energy consumption （kwh/ seat /km） Exhaust emissions （g/people/km） Walk 0.04 0 Bicycle 0.06 0 Motorcycle 0.54 27.5 Bus lanes 0.09 0.9 Light rail 0.05 0.7 The second advantage is reduction of traffic congestion.

the actual position of shield machine and the corresponding mileage design location comprehensively, shield machine position is to simulated data and chart two form of display in the control room computer screen.
yellow box Laser theodolite Computer Boring machine Prismatic target The pipe wall Rear view prism Data to office Controller Boring machine control Room Fig 1 Laser theodolite in the work situation 4.3, Mobile measuring bracket and a positioning In TBM development 1-2 day, because the total station instrument and prism distance too far away, or tunnel smaller turning radius, the need to move the measuring bracket.
In the construction of artificial measurement data and synchronization of laser automatic guiding system for measuring data were compared, the results are satisfactory.
Figure 2 is the attitude of shield machine artificial detection data and SLS-T data contrast map, from the 118 data comparison can be seen, the SLS-T synchronization laser automatic guiding system of shield machine attitude control is worthy of trust.
Manual testing & SLS-T test differentials Number of observations SLS-T test differentials Manual testing Deviation DL Fig 2 The TBM attitude artificial detection data and SLS-T data comparison chart

The radial velocity measurement is a very important data processing step for those big data.
Testing Data The spectra we used in this paper are all theory spectra, including 9593 MAFAGS spectra and 3490 MARCS spectra.
For 3490 MARCS data, use the 800 spectra picked to be the template.
IRAF was developed in 1986, and become a popular tool for astronomical data reduction.
Spectral lines are almost absorption lines in stellar spectra, we use XCSAO to compute radial velocity for the test data.

Data and Study Site We chose a SNOw pack TELemetry (SNOTEL) site, Ebbetts Pass, in the Sierra Nevada region in the United States, as our study site.
Some of the forcing data, such as shortwave radiation and pressure, not available from the SNOTEL site, is got in grided data from the North American Data Assimilation System (NLDAS) at 1/8th degree resolution and the North American Reginal Reanalysis (NARR) data products at 32 km resolution.
For consistence, the 3-hourly NARR data and the hourly DMIP2 precipitation data (at approximately 4 km resolution) are gridded into 1/8th degree resolution.
In summary, the forcing data, at a grid scale associated with a resolution of 1/8 degree, is used to run the snow models at a point scale.
Snow water equivalent and snow albedo First, the hourly calculated SWE data from models were aggregated into daily data, and then investigated the model behavior by comparing simulated SWE with observed ones.

Figure 1 Topology structure of communication via satellite system network Maritime Digital Medical Data Center.
With the use of centralized management technique of medical data, a standardized common data transmission interface has been established that can collect and integrate various maritime treatment platform data such as digital DR, CT and inspection equipment, B ultra, ECG, and monitoring instruments.
Figure 2 The local area network structure of marine medical treatment platform The overall modeling study of medical health data, is the foundation and core of setting up clinical data center.
With strict analysis and message construction technique, we can conduct uniform organization and storage of clinic data collected via various sources, following a standardized, structured, and expandable data model.
Figure 3 Data sharing and system interoperability scheme With the help of satellite-based communications for remote data exchange technology, remote high-definition audio and video data conversion and transmission technology, high-definition medical image remote diagnosis, remote collaborative data interoperability technology, it is possible to realize two functional components units, i.e., remote real-time HD unit and shore-based data sharing and system interoperability unit, thus to achieve remote video consultations, surgical guidance, pathological diagnosis, interoperability, data sharing, and medical imaging interoperability, etc..

From the data flow direction perspective, can be divided two broad categories data flow as follows: within the family and the family home outside.
The flow of data outside the family including home appliances remote control, media data sharing between homes, the three Meters(water ,electronic, gas) away copy, telemedicine, security and management of property outside the flow of data; The flow of data within the family, including transfer of DV, DVD, TV and other media equipment resources within the family, the terminal of intelligent control within the family, light automatic adjustment within the family section, curtains automatically open, and the flow of data within the family and et. .
The development state of now home network is: Whether the flow of data within the family or the family Application of the flow of data using an independent external IP address of the IPv4 technology, independent of the data channel is more difficult to realize there are bottlenecks.
In theory, every IPv6 home appliances can exchange any form data with any other IPv6 Internet hosts or other IPv6 home appliances.
With development the application of information appliances and home network, and raise in the level of family networks widespread, more and more vendors would developed information appliances with the network interface chip to support IPv6, this family visit to the sharing media data will become more easy and popular.

Analysis using high-field transfer curves after deliberate scratching with an atomic force microscope (AFM) identified changes in the magnetization of the head and a reduction in pinning strength, which is a magnetic performance indicator.
This data also confirms that a scratch measuring more than 6 nm in depth can stress the nickel-iron alloy to a depth of 100nm.
For a GMR head, it is defined as the magnetic field value corresponding to a 50% reduction in the resistance in the high-field transfer curve (see Fig. 12(a)).

It is concluded that the selective growth phenomenon following the <110>26.5deg misorientation relationship is strongly supported by the gathered orientation data, after appropriately normalizing these data with respect to a random misorientation distribution.
When Hutchinson et al. [5] compared the misorientation data from Ibe and Lücke [3] with a random distribution of misorientations, a remarkable resemblance was found.
The drawback of these representations is that they embody a 1D projection of the misorientation data, which are essentially of a 3D nature.
Figure 2) a similar analysis must be carried out on the initial misorientation data, before growth, between the nuclei orientations and the single crystals.
By making a comparison of different sets of misorientation data in three dimensions, a clear interpretation of these data is possible.