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Sybil attack is an attack node counterfeit identity of a number of legitimate nodes. appears to be forged out of a series of nodes of the Sybil node in other nodes, but in fact, those nodes do not exist, all data will be sent to those nodes, the Sybil node Seth sinkhole the target of attacks as possible to lure a regional traffic through a malicious node or nodes invaded, thus creating a malicious node-centric "to accept the hole, once the data have been the malicious node, the node can normal data tampering, and can lead to many other types of attacks.
Coverage of this nature and node physical layer security risks: accessible implementation of WSN nodes capture and subversion of these nodes to collect confidential data, or attempt to the network of internal attacks.
Transport layer attacks: In addition to the WSN node's physical layer of security risks, an attacker could access the wireless channel transmission data.
In addition, adopted by the attacker to inject their own information package to transfer data, or interfere with the lawful transmission, in order to initiate an external attack.
The advantage is simple and does not require special security channel for key distribution, a corresponding reduction in the difficulty of key management.

Data acquisition and process system Data acquisition and process system consisted of photoelectric angle encoder, magnetic grid displacement sensor, microcontroller system and a portable computer.
Then data were processed and calculated.
Fig.7 Test system diagram Data acquisition channel for photoelectric angle encoder was shown in Fig.8.
Portable computer received, calculated, accessed the data and outputted alarm.
Fig.8 Data acquisition channel Test and results The inspection system was tested in a curving railroad.

This system has the task to measure the profile of the hot rolled product and to immediately transmit the results as cold data to the SCS® at high frequency.
The Working Principle A common setup provides the operating data for the rolls, guiding rollers, funnels, gear settings and motor speed of the RSB®.
The measuring data are collected, verified, arithmetically averaged and evaluated in a measuring window.
Since the closed loop control is based on the measuring data of the profile measuring system, it is of essential importance that the profile measuring system has an excellent measuring accuracy and transmits high quality data to the SCS®.
A suitable measuring window is necessary to reduce the effect of possible variation of data.

And the data including 39 groups of fuel consumption and corresponding emissions of the construction equipments are extracted from the database mentioned above.
It can also be seen from the Figure 2 that the data points fall within the range of +2% and the fluctuation is small.
All the data points concentrate in the middle region.
However, it will be necessary to use larger accounts of data to evaluate the relationship between them.
Requirements and Incentives for Reducing Construction Vehicle Emissions and Comparison of Nonroad Diesel Engine Emissions Data Sources.

At STTA a reduction of residual strain in multilayer metallic films, an increment of film grain size, a change of grains preferred orientation in the Au polycrystalline film and a transformation of surface morphology of the upper Au film were observed.
Such behavior of roughness and nonuniformity of the outer surface for Au-TiB2 film at STTA in dependence of annealing temperature is in agreement with literature data.
The data of AFM are in good agreements with XRD results, which are shown in Fig. 1.

The following responses are then determined from the vulcanization curves for data analysis: minimum elastic torque ML, maximum elastic torque MH, torque difference ∆S = MH – ML, scorch time ts1, cure time t’90, cure rate index CRI = 100/ (t’90 – ts1), S” and tan δ values at ML and MH.
Using data in Table 2 as input, Fig. 3 shows the calculated mean effects of ingredient loadings found statistically significant by ANOVA at 95% confidence level.
The reduction in elastic stiffness and enhancement of scorch safety time of the rubber compound can be attributed to the plasticizing effect of used oil.

When ; (7) When ; , (8) Because ,,are the values obtained after the FFT algorithm sampling data plus window, and therefore sub-peak and the peak value can be calculated.
The final comparison among the proposed algorithm, the basic FFT algorithm and the adding Hanning window algorithm is shown below with data sheet and figure plot.
The experimental data are listed in Table 2, which ordinary common FFT algorithm, Hanning window interpolation FFT algorithm data for the f0 = 50hz (fundamental frequency) simulation results, the data from reference.
Proposed algorithm simulation data, but also for the f0 = 50hz simulation.
By the contrast of simulation data, the interpolation FFT algorithm and the proposed algorithm in this paper have a higher calculation accuracy than ordinary common FFT algorithm as the error in the calculation of frequency, amplitude and phase are considered.

Therefore, in order to solve the problem of data management, process integration and collaboration in the process of complex product design and to shorten the design development cycle and reduce product development costs, improve product development quality.
The design of modern complex product is a MCD problem, which including multidisciplinary analysis, multidisciplinary design and multidisciplinary optimization, usually involve design data coupling of multiple disciplinary.
Design process of complex product is a collaborative work pattern of multidisciplinary, each design subtask usually isn’t sequential or concurrent, and has multi directions and different capacity levels of data exchange.
The purpose of design and construction MIDM is to determine from requirements to conceptual design, overall design data in all stages of the process, knowledge acquisition, design and analysis tools and other information as well as the organic association between this information, the definition of an interdisciplinary, cross-phase global model.
Summary MCD-oriented Integration of Product Design Meta-model(MIDM) was built, the process integrated control MIDM implementation methods was proposed based on MIDM, by means of MIDM, conducive to the process of product design and resource sharing and interaction, can provide complete multidisciplinary collaborative design process required of all applications geometric information and non-geometric information, including process data, model data and resource data.

In addition to the real-time process-data sophisticated evaluations can be carried out on the data in order to enhance product-related optimization or predictive maintenance.
Virtual Rolling Mill Architecture The Achenbach "virtual mill" consists of three modules: 1) models of the thickness and flatness behavior in the mill; 2) data acquisition [2], which handles the virtual coils and 3) respective controllers, see Fig. 2.
Basis records Database of Virtual Coils Mill Controllers Mill Model Task Process Data Mill Model MODEL VIS Rolled Coils Data PDA M-Target for Simulink Measured data Fig. 2: The "virtual mill" architecture Virtual Coils and Visualization.
Each pass (i.e. a single process step of thickness reduction in rolling) generates a new process data which serves for output coil creation.
The data acquisition system together with visualization software tool allows witnessing all important process values in real time.

(2) IGS Prediction Model The original data sequence of the known agglomerate composition is .
The mean operator is introduced to smooth the data.
After smoothing the data, we can get the sequence.
is the corresponding coefficient of the model, which reflects the varying relationship between the data.
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, no. 11 (2005), p. 1465-1477