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The powerful graphic functions of OpenGL do not require the developer to write the data of three-dimensional model in fixed form, thus the developer not only can use his own data, but also can use other data sources of various form.
Otherwise, after scene rasterization, before entering frame buffer, the pixels data can be operated according to the specific needs.
The method is the Boolean reduction operation between the workpiece and enveloping solid formed by tool moving, and the three-dimensional model of workpiece is continuously renewed with the cutting process.
The different basic objects decide that the realized methods are different: Van Hook presented data structure method of depth voxel; Saito T and Takahashi T presented G_Buffer method; Nonaka S presented data structure method of octree; etc.

Prestressing tendon hs hc 1000 300 1950 1950 1000 Synchronous jack Pressure sensor Fig.2 Composite beam detail Fig.3 Equipment set-up Table 1 Parameters of test specimens ch /mm sh /mm Prestressed bar/unit Shear Connection Factor Moment Condition ZHL1 90 170 0 1.17 positive ZHL2 130 170 0 1.17 positive ZHL3 130 260 0 1.02 negative ZHL4 130 260 3 1.02 negative ZHL5 130 260 5 1.02 negative ZHL6 130 260 5 1.02 negative 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL1 Load rate Deflection at midspan(mm) Experimental data Proposed method 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL2 Load rate Deflection at midspan(mm) Experimental data Proposed method （a）Test Specimen ZHL1 （b）Test Specimen ZHL2 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL3 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method 0 10 20 30 0.0 0.2 0.4 0.6
0.8 1.0 ZHL4 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method （c）Test Specimen ZHL3 （d）Test Specimen ZHL4 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL5 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL6 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method （e）Test Specimen ZHL5 （f）Test Specimen ZHL6 Fig.4.
At normal working stage, the flexural stiffness of composite beams at positive moment region can be obtained as the flexural stiffness of conversion section multiplied by a reduction coefficient 0.95, to consider concrete nonlinear effects and interface slip factors.

The experimental data were analysed in term of diamagnetic susceptibility � DIA, corresponding to the condition MDIA= � DIAH, for evanescent magnetic field.
The solid circles are the data from the isothermal magnetization curves while the full squares are from the isofield curves vs.
As it appears from Fig 3a, the theoretical curves derived in this way fit well the experimental data.
A good agreement with the data (Fig. 3b) is noted also for sample (1) up to H≈Hup.
For field larger than Hup departure of the experimental data from the theoretical curves (in the inset) occurs, probably due to experimental subtraction procedure (on increasing field the paramagnetic term increases while the diamagnetic term goes towards zero).

Nowadays there are monitoring even more parameters with extreme environment sensors, integrating diagnostic and prognostic systems that turn data into explicit maintenance actions and monitoring into active management of system condition.
When machinery such as fans and motors run out of alignment, the resulting vibration leads to excessive wear and premature failure of parts and, ultimately, a resulting reduction in efficiency [9-11].
The vibration monitoring system acquires vibration data from an engine, and processes the data with advanced algorithms to determine engine component health.
Moreover a proper vibration analysis is possible when data are sufficiently reliable to use.
Thus the device used to collect data is important.

In addition, the relationship between the measurement data of this method and the motion accuracy of the five-axis machining center has not yet been clarified.
The NC program is created by applying form-shaping theory [3] without using a latest-tool-point control function or CAM software because the change in the feed speeds of the five axes can be analyzed in detail based on the created NC data.
There were two different mounting angles, i.e., 10° and 20°, because the NC data differs between the condition in which β is greater than θ and that in which q is greater than b.
This model is demonstrated to be able to express the quadrant glitch and the radius reduction in the circular interpolation movement [4].
In this simulation, the NC data, which expresses the ideal tool path Pi, is input to this model as shown in Fig. 3, and the deviation between Pi and Piout can be calculated based on the output data expressing the real tool path Piout.

The experimental data on the influence of an abrasive grain form on the operating characteristics of flap grinding wheels such as its cutting capacity and cutting force, the wear of a flap grinding wheel, the temperature in the cutting zone and the processed surface roughness are given.
Mathematical computer processing of the obtained experimental data was made using the software package STATISTICA 6.0 by means of stochastic modeling based on the multiple correlation method.
This software allowed automatic processing of the obtained experimental data and investigating the relationship between output parameters of the grinding process and the shape coefficient (Кf) of grinding grains.
The analysis of the obtained data shows that processing by a flap grinding wheel is characterized by low temperatures in the cutting zone, which is caused by the design features of this tool, small loads of the grinding process and a ventilation effect.
Borovikov, The statistical analysis and data processing in the Windows, Filin Information publishing house, Moscow, 1998

Embedding of the nanosized particles can influence the improvement of electrocatalytic properties of the composite coatings, corrosion resistance, durability, microhardness or shift the reduction potential of a metal ion.
The symbols are experimental data, the continuous lines denote the fitted data using CNLS method for one-CPE electrode model.
The symbols are experimental data, the continuous lines denote the fitted data using CNLS method for one-CPE electrode model.
The approximations of the complex-plane and Bode plots were very good and the continuous lines in Figs. 2 and 3 denote the fitted data using the one-CPE electrode model.
The result of the carried out approximation of the experimental ac impedance data using the one-CPE model with the following adjustable parameters were obtained: Rct, T, f and Rs (Tab. 2).

The tire model reads the tire property file to obtain data for calculating the tire forces and moments; it then calls the road model to evaluate where the road is in relation to the tire.
The road model reads the road property file to obtain data about the road.
The road property file contains data that defines the road surface and coefficient of friction.
As was previously mentioned, the numeric data used to create the virtual prototype were measured on a real vehicle, in the static equilibrium position.
Karimi: A data-driven approach to mixed-sensitivity control with application to an active suspension system, IEEE Transactions on Industrial Informatics Vol. 9 (2013), p. 2293-2300

Smart grid is based on a distributed data transmission, calculation and control technology, as well as data and control commands between a plurality of power supply unit effective transmission technique [2].
Take a fixed two-way communication network, real-time data collected from smart meters reached the number center, it is the basis of all of the advanced applications
(3) Measurement Data Management System.
This is a database with the analytical tools, through use together with the AMI automatic data collection system, handling and storage of the meter's measurement value
Based on the wide-area measurement data fast transient simulation technology [J].

A diagram of force vs. absolute reduction ratio is shown in Fig.7.
Vickers hardness HV 0.1 Vickers hardness HV 0.5 1 433.2 402 2 408.5 402 3 385.0 412 4 365.6 401 5 384.1 400 6 385.8 416 7 419.6 406 8 397.2 419 9 384.1 406 10 390.0 413 Mean 395.3 407.7 Results obtained in the DMLS sample hardness test are consistent with data quoted by the manufacturer of the EOS Ti64 powder and do not deviate from generic data for Ti6Al4V alloy samples.
The deflection is recorded by a camera (data acquisition technology designed for the instrument) and processed by software algorithms which take account of the parameters of the optical arrangement of the system.
Following data acquisition and repair (i.e. making up for missing surfaces) in the acquired reference item image, the models were compared (the model image obtained by scanning was superimposed on the CAD model).
Material data listed by the manufacturer of the EOS Ti64 powder did not deviate from actual values reported in the course of the present study.