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Abstract: A PID controller is designed for an electric clutch actuator, which adopts ball screw as the speed reduction mechanism.
Electro-mechanical actuator always adopts DC motor as the power source and worm-wheel or screw-nut as the speed reduction mechanism.
PID controller compares the collected data with a reference value, and it gets the difference to calculate the new entered value, which allows the system data to achieve or maintain a reference value.
PID controller can adjust the entered value based on historical data and frequency of the differences appearing, which can make the system more accurate and stable.
PID controller can adjust the loaded value according to the historical data and frequency of the differences appearing, which make the system more accurate, more stable.

Data shows an increase in both zinc and copper leachability after bioreduction, with maximum six fold and eleven fold increase (compared to pre-treatment) in the amount of zinc and copper leached respectively.
Ferrous iron concentrations within the column effluents were considered as indicative of iron reduction.
Comparison between the ferrous iron release from columns fed with glycerol and the negligible ferrous iron release from columns not fed with glycerol (organic starved) and autoclaved controls confirmed the increase in ferrous iron was the result of microbial action (data not shown).
Desulfosporosinus species; data not shown).
Esther, Effect of dissimilatory Fe(III) reducers on bio-reduction and nickel-cobalt recovery from Sukinda chromite-overburden.

An Experimental Study on the Characteristics of Chemically Synthesized Nano-Cement for Carbon Dioxide Reduction Byung-Wan Jo1,a, Ji-Sun Choi2,b, Seok-Won Kang3,c Professor, Dept. of Civil Engineering, Hanyang University, Seoul, Korea.
a joycon@hanmail.net b opt506@naver.com c hastally@nate.com Keywords: CO2 reduction, Chemical synthesis, Alkali activation, Compressive strength, Highly functional construction material Abstract .Cement is becoming a principal factor in air pollution because of the creation of CO2 during its manufacturing.
First of all, based on the selection of the “Kyoto protocol” to reduce greenhouse gases in order to prevent global warming, a practical plan for the reduction of CO2 and greenhouse gases is urgent, as the results are still insufficient.
Arteaga, “Determination of kinetic equations of alkaline activation of blast furnace slag by means of calorimetric data”, J Thermal Analysis 52, 1998, pp. 945-955

In addition, a data acquisition system is used to collect experimental parameters, record data in real time, and perform data consolidation.
Through the use of a Data Acquisition (DAQ) card, load data can be transmitted to each sensing component.
Instead, the data for each axis and the power source for the hydraulic motor are entered separately based on the design of the external and internal axes.
In addition, the torque value detected by torque transducers between each axis can be sent back to the computer through the DAQ to aid in data recording.
When a load is applied, motor stall often occurs, and limited data are available.

This article presents a procedure for real data based assessment of industrial cleaning equipment.
The necessary data for determination of the OEE factors and energy consumption values ​​are recorded by a measuring system.
The continuously collected data for the cleaning process are shown in Figure 1.
Figure 3: Energy consumption and operating state data of an automotive component cleaning operation Linking Manufacturing Process Data and Energy Consumption Data for the Synergetic Increase of Cleaning Equipment The obtained OEE and energy consumption information based on generated data are then used to support continuous improvement processes (CIP) to define energy efficiency and productivity-enhancing measures.
Thus, by virtually the same data collection effort, the effect of operational optimization measures based on analysis has significantly increased.

The crystallinity features of the iron deposits had been characterized by X-ray diffraction (data reported elsewhere), and were found to be composed mainly of γ-Fe2O3 (maghemite), Fe3O4 (magnetite), and FeO (wuestite).
Data captured through eZAF Smart Quant (kV: 15-20, Mag: 1000-3300, Take off: 37.8-40.7, Live time (s): 30, Amp time (µs): 1.92, Resolution: (eV): 128.9 Turbidity reduction study.
Modelling turbidity reduction by MBAC and CAC.
Majority of the points are concentrated along the central portion of the data, and these observations verify that the residuals are normal.
An empirical mathematical model had been generated through the method of steepest ascent and multiple regression analysis of experimental data (Table 3).

Both the metal oxidation, as well as the carbene reduction of Cr-FCCs, occurs at lower potentials than for W-FCCs.
Both the metal oxidation and carbene reduction occur at a lower potential for the Cr-FCC than for W-FCCs.
In the case of tricarbonyl Cr-FCCs containing dppe, it was possible to separate crystals of the fac and mer isomers manually and characterize them by solid state X-ray crystal data.
Linear relationship between the DFT calculated EHOMO and the experimental oxidation potential Epa(ox) of the metal oxidation and ELUMO and the experimental reduction potential Epc(red) of carbene reduction of Cr-FCCs and W-FCCs.
Data are from references [7,17,18] and this study.

For the obtained data, the ODF was calculated using the ODF analysis program (Standard ODF 3.4.1) [11] by the iterative series expansion method. 3 Results and Discussion Fig. 1 Optical microstructures of laminates.
The average, maximum and minimum peel strengths of the laminate with a rolling reduction of 40% was higher than those of a rolling reduction of 50%.
The PE layer of the laminate with a rolling reduction of 40% about 1.6 times is thicker than that of the PE layer of the laminate with a rolling reduction of 50%.
Fig. 5 shows ODF of PE layer in the laminate with a rolling reduction of 40% and 50%.
It is found that PE layer in the laminate with a reduction of 50% is higher in (001) [100] orientation than PE layer in the laminate with a rolling reduction of 40%.

To examine the impact of different input data assumptions on the results of energy certificates, sensitivity analysis was performed.
Specifically, the project had the following objectives: (i) Identifying sources of uncertainty in the calculation and issuing process of energy certificates; (ii) Analyzing the impact of different input data uncertainties onto Key Performance Indicators (KPIs); (iii) Derivation of comprehensive input data documentation to mitigate the impact of non-well documented input data for energy certificates.
Table 1: Categorization of uncertainties of input data for building energy certificates (first published in [1]).
Both groups got the same input data documentation of 16 buildings and were asked to issue energy certificates.
To furtherly be able to clearly understand the relation between input data uncertainties and impact on the corresponding output data, different alternative approaches seem promising.

Secondly, there are few effective measures to deal with noise data which results in redundant elements of the user attribute vector.
It can not only clean noise data, but also improve the efficiency of clustering algorithm.
Data filtering and data clearing Learning attributes acquiring High-dimensional learner-attribute matrix Data set discretization Attributes reduction Clusters of learners Database for learners K-means clustering Figure 1.
Kambr, Data Mining-Concepts and Techniques, Beijing: Higher Education Press, 2001
[5] Z.Pawlak, RoughSet-TheoreticalAspects of Reasoning about Data Dordrecht, Boston: Kulwer Academic Publishers, 1991