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Lines of best fit for the grain size data obtained from a range of aluminium alloys with TiB2 additions varying from 0 to 0.02% TiB2 and Ti additions from 0 to 0.05%.
Fig. 5 re-plots the grain size data versus 1/Q for A  6.5 m, where the Mg8%Al alloy was excluded from the case when A = 6.5 m, which is the approximate cavitation threshold for the other three alloys.
Grain size data re-plotted as a function of 1/Q for the four Mg-Al alloys shown in Fig. 4 with respect to different amplitudes (A) in the range from 6.5 m to 25 m.
Data obtained from Fig. 2 and Fig. 3.
Although the results presented here provide useful but qualitative comparative results, this study was based on data produced by a number of separate studies.

The control circuit identifies online important critical frequency response characteristics of process object through input and output data in the normal process operation, and then the system online update PID controller parameters based on Ziegler - Nichols tuning rules or by the improved method.
So large amount of calculation work must do, once the data processing computing chips appear problem, the system will make the output volatility, and result in high volatility in the actuator, that causes big accidents.
Tab. 1 The controller type characteristic data PID 0.6 0.5 0.12 For the transfer function of a given controlled object, we select the intersection point between root locus diagram of discrete system and z plane unit circle on the root locus diagram, and then we gain Km and this point value namely.
It is of great significance for industrial enterprises the energy-saving emission reduction and improving the operation efficiency of process equipment.

In the model, the historical data of inner profile was saved and analyzed, If L1 ≥ Lmax, the value of Lmax will be updated by the value of L1.
An excellent online system is largely dependent on a reliable data acquisition.
Fig. 4 shows the structure of the data network which was designed to ensure the real-time reliability and security of the data in the system.
The needed data was saved to the table (TempData) of the real-time database (XG9GL) on the SQL SERVER platform and therefore the models could call them at any time.
IFIX network data server IFIX local real-time database LAN SQL SERVER model database(XG9GL) Online system VBA program Read online data Save calculation result Fig.4 The structure of the data acquisition system Fig.5 An interface of erosion and skull monitor The software system had been running with the XISCO No.9 blast furnace since June 2010.

Linear Regression Analysis Data Regression analysis is a statistical technique for investigating and modeling the relationship between variables.
The Ppk value is used by the FMEA team as guidance to assist in determining an occurrence ranking when valid statistical data is available [12].
This is because i-FMEA data should be sharing during new model discussion between design and process group especially during hand over job for new model.
Potential Failure Mode Critical Dimensional Data (22 samples data) Key Process Factor (22 samples data) Regression Analysis Results (p) Significant Ppk Results Old Occurrence New Occurrence Gap between matching parts (D1) 11 Rivet Diameter Riveting Force P = 0.000 YES 0.61 8 9 Rivet pin diameter out of spec.
[9] Chin, K.S, Wang, Y.M , Poon, G.K.K and Yang, J.B, Failure Mode and Effect Analysis by Data Envelopment Analysis.

The collected data were compared with the ICDD data.
Results of the bend test data.
Shore D Hardness data.
Vicat softening data.
HDT data of the composites.

The obtained results confirm that these variations on PSO algorithm can make a noticeable reduction of Ploss at acceptable level in terms of power system operation view point.
In this work, we concentrated on the main and primary objective function called reduction of power losses to enhance technically the system performance as well as preserving other technical requirements such as voltage profile and voltage deviation within the acceptable operating boundaries.
Steps of PSO method for solving ORPD problem [7]. 1- Read generation, bus and line data, minimum and maximum inertia weight, number of population size 2- Initialize randomly the control variables within their maximum and minimum boundaries in the solution space of control variables. 3- Make Y- bus and run power flow by using MATPOWER considering the initial values of the system control variable 4- Compute the sum of all penalties for line flow violations, generated active power at slack bus, violation of reactive power for all generators and bus voltage violation by using Eq. 14. 5- The performance of each particle is evaluated using the considered fitness function which is computed according to the sum of all penalties added to the primary objective function as in Eq. 15. 6- Identify personal and global bests, pbest and gbest, by comparing the fitness function for each particle which its previous fitness to obtain the pbest and by comparing all of the fitness of all swarms to
In this study, the reduction of the real power losses is considered as the primal objective function that observed under different PSO variants.
The reduction in Ploss has better result than traditional PSO as shown in Fig. 6.

This evolution is dependent on temperature, degree of reduction (strain) and strain rate.
The data confirm that the fatigue lives are similar.
These data cover the LCF regime.

The EOG is a technique to acquire the eye movement data from a person, i.e tetraplegia, which the data obtained, can be used as a main communication tool.
The EOG data is then sent to MATLAB/SIMULINK to recognize the direction of eye movements.
The eye movement input data was used to determine the desired (input) distance for wheelchair motion control.
By taking the difference between the sensor measurement and the desired input of the eye movement data, the error is fed into the FLC for compensation and error reduction scheme.
The experiments were conducted based on the eye movement input data.

Measurement module is designed to ensure the data accuracy, high reliability, at the same time, as far as possible with small volume, low cost of the chip.
Then the instantaneous power obtained by multiplying the sampling data of the instantaneous voltage and current.
Measurement Module Test.The accuracy of the metering module data is ery important to the availability and Effectiveness of socket.
Test electrical equipment of power 1500W and 20W ,time is five hours.Collect consumption data and to compare once in each hour.
Table 1 is the test result, it can be seen that the power consumption data measured from socket metering module is same to data from watt-hour meter.Ii can be described with sufficient accuracy measurement module.

Then, the parameters of incremental rheological model were back analyzed based on the prototype observation data[3-6].
As it is shown in Fig.2 the maxmium settlement of the crest is 8.2cm under the normal water level, closing to the measured data.
Finally, by compearing the calculation results with observation data, we can see that the calculated settlement and observed data are close to each other, as well as the dispalacement of concrete face slabs.
Gnerally speaking, all these results above are basically consistent with the observed data of strain gauges.
Compared with the observation data, the simulated results are close to the actual operation situation.