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Comparing with the programmable logic controller (PLC), PAC is much powerful in data processing beside its openness and flexibility.
The AKE392B’s acceleration data frame was shown by Fig. 2.
The acceleration data frame of AKE392B The data domain given by hexadecimal in the example above was the acceleration values measured by AKE392B, where the acceleration on X axis was 0.210 g, the acceleration on Y axis was -0.850 g, and the acceleration on Y axis was 0.504 g.
Based on the data frame given by Fig. 2, the acceleration data’s collection program was built, which was shown by Fig. 3.
The acceleration data collected There are two non-seismic interrupts: the baseline drift and the impulse noise.

And the data acquired by speed sensor and torque sensor are transmitted to IPC via signal converter.
Conventional data acquisition can be divided into DC-sampling and AC-sampling.
It is composed of 6 sub-systems, and each of them contains a thread pool and the related task queue to facilitate the testing system collecting real-time data, analyzing background data, displaying graphical interface and inputting response by users respectively.
The upper computer system can realize the synchronous acquisition of input voltage and current, accurate calibration of the sensors, storage of the parameters like voltage, current, torque, speed, and etc, fast data processing and power calculation and display, playback and printing of storing data.
The comparison of measurement data between the test system and Fluke Multimeter is shown in Table 2.

This approach lowers the amount of data, which is sent between the service layer and the transportation entities, by reducing the information of the workspace to the possible routes of each specific vehicle.
CAD data, and the machine-specific sources and sinks can be integrated into the overall layout.
Due to the standardized data exchange between ISP services, the physical design of the platform is irrelevant for the function of the services.
Based on the data of the local path planner, the drive units of the chassis are finally controlled to take the required target position.
Wahl, Camera-based observation of obstacle motions to derive statistical data for mobile robot motion planning, 1998 IEEE International Conference on Robotics and Automation (1998)

In this contribution, we proposed an algorithm to calculate the wavefront aberration with two-dimensional modulation transfer function data.
And if we fit with a set of orthogonal functions, the fitting coefficients can be numerically calculated by using the 2D MTF data.
(12) When taking a set of 2D MTF data into Eq. 11, we get a set of equations, which contain the fitting coefficients.
Numerical calculation As mentioned earlier, there are two ways to get 2D MTF data.
Table2 The parameters of optical system X FOV(semi-field) (degree) Y FOV(semi-field) (degree) Entrance Pupil Diameter (mm) Exit Pupil Diameter (mm) Effective Focal Length (mm) Reduction Ratio 6.26 6.26 3 5.3 22.32 0.025 After obtaining the 2D MTF data, we should take a set of data into Eq. 16, getting a set of functions to calculate the fitting coefficients.

Combined with relevant data, we study on nine cities of Wuhan city circle and evaluate logistics capabilities based on principal component analysis.
Wuhan city circle logistics abilities assessment Index Data.
According to the index system in Table 1, combined with 2011 Hubei Statistical Yearbook, we get index data shown in table 2.
We dimensionless the data in Table 2, enter its in SPSS18.0 to principal component analysis.
According to Component score coefficient and standardized data, we can get factor score function: (2) According to Eq. 2, we get principal component scores table (see table 4).

，n} Monotonous original data as a prediction object of non-negative column, the use of the data sequence to establish unbiased GM (1,1) model[1-3]
(2) identification algorithm Hutchison parameter sequence , , where is shown as: B＝ Yn＝(X(0)(2), X(0)(3),…, X(0)(ｎ))T B-data array; Yn-data columns (3) predictive value reduction The GM model is a cumulative amount while k{n+1,n+2,…}.
The GM model the data (1)(k+1) Generated after inverse (0)(k+1)
Set up the original data sequence X(0)＝{X(0)(i),i=1,2,...
K-step transition probability matrix (3) Let the original data is predictive value for k moment the raw data obtained by non-linear prediction model, The curve reflects the trend of the original data columns.

The problem unmeasured is solved by both of the data from multiple view and data substitution.
At this point, you can replace most of the surface data which can not be obtained with the local surface data of groove bottom surface.
The cloud data of vortex inventory 3.2 Point Cloud Data Processing Using CATIA digitized shape editor to import the raw point cloud data, use feature points to multi-view-aligned block of data through the fine tuning function to unify all the points after the data into the same coordinate system.
After removing point cloud data which obviously does not need, the original point cloud data is relatively large and uneven distribution, in order to make the point cloud data distribution more reasonable and provide follow-up surface modeling with accurate data measured point cloud requires an appropriate reduction.
At this point, you can replace most of the surface data which can not be obtained with the local surface data of groove bottom surface.

The dynamic characteristics of the Qiantangjiang rail-cum-road steel truss bridge is to analyzed by the Beam elements Midas model, beam-Plate element Midas model and plate element Ansys model, and the calculated results are compared with the field experiment data.
In addition, the FE models composed of beam elements or beam-plate elements are built by Midas software, and the calculation results are compared with the data obtained by the site experiment.
During the service period, many diseases were found, such as high concentrated stress at the nodes of the lattice members, bending deformation of the vertical and horizontal beams, corrosion and fatigue cracks of the main trusses, and reduction of the connection stiffness of the large gusset plates.
With the principle of restricted deformation and reduction force, the initial shape for structure simulation can be established.
The calculation results are compared with the site experimental data.

Yiyong Zhang et al. [19] prepared the sulfur – partially reduced graphene oxide (S-prGO) composites by spray drying in situ reduction method.
A suitable quantity of sulfur was in situ placed on the exterior of the prGO nanosheets by fine-tuning the reduction unit of the GO nanosheets.
The graphical data analyze and verifies the synthesis of rGO-S powder.
Declaration Availability of data and material All the materials including graphite powder, potassium permanganate, hydrogen fluoride, sulfuric acid, hydrochloric acid, phosphoric acid, and sodium nitrate were bought from Sigma Aldrich having a purity of 99.9%.
Zhao, “Reaction mechanisms of graphene oxide chemical reduction by sulfur-containing compounds,” Carbon N.

In addition, with the introduction of the SiO2 particles in the alloy matrix, a reduction in the coefficient of friction by 24.5% and wear rate by 40.79% was recorded compared to the pure Al alloy.
Aluminium as a low-cost metal matrix provides a weight reduction of up to 60% in comparison with most metal matrices, for example, iron metal matrix [2].
Studies by [3, 4] established that light metal composite materials provide great potential in reducing car weight, hence fuel efficiency as well as a reduction in greenhouse gas emissions, like carbon dioxide (CO2).
The Al alloy composites containing 30 wt% SiO2 depicted superior tribological performance, with 40.7% reduction in wear rate and 24.5% decrease in the friction coefficient compared to other samples. 5.
Nix, A method for interpreting the data from depth-sensing indentation instruments, J.