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Data acquisition system allows continuous introduction of corrections and rapid response to emerging issues, which in turn leads to reduction of losses and increases company's competitiveness on the global market.
Presence of automated equipment (PLC, HMI/SCADA, etc.) with standardized network interfaces significantly improves possibility of data acquisition, allowing fully automated data acquisition, requiring only pre-processing, basic aggregation, reduction and archiving of the data.
Scheme of data acquisition using the Mistrz system Data collectors are placed in the data acquisition cells in separate areas of the production hall, common for a few workstations.
Operation of the Data Acquisition System.
Sometimes workers forget to confirm the operation or enter incorrect data, despite of the data validation.

Data center improvement.
Data Center is the most popular data storage and management mode.
According to concentration data management mode, it can not only significantly improve the utilization efficiency and data safety, but also increase the operation cost.
Now the biggest problem of data center is the high consumption and high calorific value.
Thermal Considerations in Cooling Large Scale High Compute Density Data Centers.

The established data reflected an outstanding performance on the Hg0 re-emission inhibition from the simulated WFGD liquors by adding DTCR.
Our data suggested that a concentration of 0.0005% (v/v) was enough for Hg0 re-emission inhibition in the simulated WFGD liquors.
The elemental mercury (Hg0) re-emission and the factors that impact DTCR Hg2+ precipitation efficiency and Hg2+ reduction inhibition were investigated by using the simulated scrubber.
The established data reflected an outstanding performance on the Hg0 re-emission inhibition from the simulated WFGD liquors by adding DTCR.
Our data suggested that a concentration of 0.0005% (v/v) was enough for Hg0 re-emission inhibition in the simulated WFGD liquors.

Hence, there is a large amount of experiment data, but the satisfactory practical calculation model has not been established.
The training data with nonzero Lagrangian multipliers are called support vectors.
In the black-box modeling, the RBF kernel function is selected, is the width parameter. 9 sets of data in Table 1 are randomly selected as the training sample, and the rest of data are considered as the testing sample.
The load-mid-span deflection data of beams in 0, 2.09%, 3.53% and 4.27% corrosion level are selected as the training sample, and the load-mid-span deflection data of beam in 1.59% corrosion level is considered as the testing sample.
The experimental data from the renferences [1, 6, 7] are selected as the training sample, and the reduction factor form the failure load in Table 1 are considered as the testing sample.

Data reduction, means histogram creation from event data, is important function before going on analysis.
Data reduction tool.
As an example of manual data reduction, a total of 4 megabyte event data files, which were obtained by 20 minutes measurement of steel specimen, are converted to 0.3 megabyte histogram files by 2 seconds data reduction.
Figure 4(b) shows another example of data reduction type.
Data reduction example.

A cost which incorporates both the cost of production processes and the cost arising from the many potential risks associated with any reduction.
The findings illustrate the effectiveness of the proposed approach in the JIT system with focus on simultaneous cost-risk reduction.
Data was collected from fabric-cutting department of Hong Kong-owned apparel manufacturing company to validate the proposed optimisation method.
The objective function (F) of the proposed model is to minimise the total cost of the final product, which includes the product cost and the risk cost resulting from this reduction.
Amer, A Novel Optimisation Model for Simultaneous Cost-Risk Reduction in Multi-suppliers Just-in-Time Systems, J.

So the quantitative analysis on relation between effectiveness and influencing factors had been conducted based on the plot experiment data in this paper.
So the objectives of this study are: 1) to determine degree of association between influencing factors and removal effect of VFS, 2) to develop the empirical models derived from experimental data for the assessment of sediment trapping efficiency, and 3) to describe the physical interpretation of the parameters that define the model equations for evaluating sediment trapping process.
First, it was necessary to standardize original data, and then computed degree of association between sediments removal effect and influence factors by grey correlation analysis.
Relation of VFS width and purification effect It is the core role to determine the reasonable width of VFS in VFS design, so the relation of width and purification effect in this study had been described by counting experiments data, and it was shown in Fig.1.
Thus the quantitative analysis on relation between purification effect of VFS and influencing factors has been conducted based on the plot experiment data.

Fuzzy Logic based Sensors data Fusion for Mobile robot navigation S.
The schemes used by Sugeno's car [1] involved the extraction of specific state variables from sensor data before the fuzzy control stage.
Thus, the sensor data have been matched to a world model.
The disadvantages in the robot described by Pin, et al. [2] features 15 ultrasonic rangefinders, without matching data to a world model.
The context data are denoted by a fuzzy set D and the control action is denoted by a fuzzy set C.

Finally, they apply the resonator on the noise reduction of outdoor ventilation, and explore the influence of resonator on the environmental noise reduction by simplifying experiments.
Also, the experimental data are obtained by acoustic pressure standard measurement of CNS-8753[5].
It is esay to find that noise reduction occurs at 2nd BPF again, and there is a maximum noise reduction for 2.7 dBA at H5G30.
However for 1st BPF, there is no obvious noise reduction for all cases.
H.: Reduction of Centrifugal Fan Noise by Use of Resonator.

As an effective approach to improve the security of data, data backup and disaster recovery is very important for emergency management systems.
The model of disaster recovery was based on structured programming to closely reflect the theory of data duplication and data protection.
Data protection technologies Over the past 30 years, data protection has evolved as business needs changed.
Continuous Data Protection (CDP) is a storage system in which all the data in an enterprise is backed up whenever any change is made.
The compression and advanced bandwidth reduction algorithms in the appliance, deployed in clustered configurations, dramatically reduce WAN bandwidth consumption up to 90%, saving associated communication costs.