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In this paper, the mentioned PMU optimal placement algorithm based on data mining proposed will be different from any other multi-objective optimization algorithms before.
Then the weights of various attributes will be concluded by classification mining or attribute reduction.
PMU Optimal Placement Method on Basis of Importance of Nodes and Branches At this point, the importance of nodes based on data mining has been proven and concluded.
At last, if the measurement point of PMU has been installed traditional data collection terminals, the traditional measurement terminal will be removed.
Data Mining: Practical Machine Learning Tools and Techniques (2nd edition) [M].

For example, whether to pass ISO14001 management system verification, whether to have waste reduction plans.
The index value is only concerned with technology, equipment, but has nothing to do with the location of the place and the factory, and so it necessary to get the real data through a scene investigation.
Microcosmic index can be used either to recognize waste reduction space of enterprises, also can explain of environment performance.
Waste emission reduction index mainly describes the reducing degree of eventual emissions of solid waste and waste water of industry , and the index reflects results of reducing resource consumption and waste produced through the reduce, reuse and recycling, from the source, lowering waste eventual emissions, reducing environmental pollution.
Wastewater emissions Iron and steel industry environment management degree Environmental problem Clean production Carbon dioxide emissions Waste reduction plan Sulfur dioxide emissions ISO14001 certification status Recycling economy Resource input output rate Solid waste comprehensive utilization Mineral resources total recovery Environmental special organizational system Production waste treatment industry management Figure 1.

By introducing the reduction factor of concrete strength, the influences of the constraints reduction can be taken into account.
The influences of the constraints reduction can be taken into account by introducing the concrete strength reduction factor.
The comparisons of experimental data and theoretical results have been conducted as listed in Table 2.
It can be reflects by introducing a reduction factor and then it can be converted into circular ones with equivalent area.

The technique, similar to the cathodic deposition of other oxides, involves the reduction of oxygen or nitrate in mildly acidic solutions of Zn 2+ to produce an increase in the pH near the electrode surface.
If the reduction is carried out at a slightly elevated temperature(>65℃), the Zn(OH)2 converts to ZnO during deposition.
The purpose of this paper is to facilitate the use of oxygen reduction to prepare CuO doped ZnO thin films.
In the generating ZnO films on the substrate, the reduction of oxygen was performed with a low Zn2+ concentration at a sufficiently high temperature(>70℃).
The pattern associated with the electrodeposited layer reveals a hexagonal wurtzite structure in agreement with the data obtained from the JCPD files No. 36-1451.

Due this design almost all data in a stage performs parallel reduction leading to increase in multiplier performance.
These intermediate registers transmit the data to the subsequent stage by synchronizing the data from one stage with the source clock edge, which is usually the leading edge.
Only after the clock edge arrives, data moves from one stage to another in all intermediate registers.
Two intermediate registers used for storing partial data values in conventional pipelining method is eliminated in this design.
The ECG database at the MIT-BIH Physionet ATM bank provides the initial data for the fir filter.

The theory and algorithm is successfully tested with data sets from a real wind turbine and with data from a laboratory model.
The simulated damage extent was a reduction of the stiffness in the mentioned element of 1, 5, 10 and 25% (101 data sets for each damage level).
This reveals only the highest damage of 25% stiffness reduction.
The system was tested with the remaining 912 data sets.
Fuzzy clustering and data analysis toolbox.

In this paper, a novel method is proposed for automatically matching the measured data of a rail tanker.
The spindle orientation of point cloud is determined by PCA, and then any relative point pair is well matched according to the spatial topology relations as the complexity reduction point of view, finally the data is mapped to a uniform coordinate system with the Quaternion method.
A number of independent point cloud data measured from different perspectives can be called multi-view point cloud.
Registration of Scattered Cloud Data.
Research on digital measurement technology based on point cloud data of complex surfaces.

A classifier is built from training data, for which classifications are known.
The classifier assigns new test data to one of the categorical levels of the response.
This exploratory data analysis technique attempts to identify structure within the data.If there are distinct data groupings, e.g. the clases examined on the compressor rig, then a Fourier profile plot may highlight differences and so assist in distinguishing between groups (classes).
Conclusions Investigation of variable interdependencies though data clustering techniques provides a robust method for exploratory variable analysis and so facilitates reduction in the number used in establishing classifiers.
Dunn'Applied Multivariate Data Analysis’, 2nd Edition.

The PWM output signal is set to logical “1’’ at the beginning of the switching period and is reset after a number of clock cycles equal to the integer value of the N-bit data input.
The system input is an N-bit data word, corresponding to the desired PWM duty cycle value, so that it can be easily interfaced to a microcontroller unit I/O port pins.
The N-bit register output, containing the N-bit data input, is compared with the output value of an N-bit free-running synchronous counter, by means of a comparator.
Also, the counter overflow signal is used to load the N-bit data input to the input register, so that the PWM output duty cycle change is performed at the new PWM wave period in order to avoid any frequency and/or phase jitter of the output waveform. while its duty cycle is given from the following equation: Where Data_Value is the input data word integer value.
The maximum clock frequency and the maximum PWM signal frequency for 8, 7 and 6-bit data input configurations, are tabulated in Table 4.

The data was analysed using GRAPHPAD PRISM V5.00 software (the ANOVA test (p < 0.05) [17].
The data collected have been collated into a size distribution curve.
Fig. 2 Protonated / de-protonated of DNBA functionalized AuNPs Fig. 3 Data collected via UV-Vis across the pH range produced by adding HCl (0.1M) and (0.1M) NaOH to the DNBA-AuNPs solution, pH < 7.5 (a), and (b) at pH > 7.5.
Fig. 4 Data collected via UV-Vis across the pH range produced by adding HCl (0.1M) and (0.1M) NaOH to the SA-AuNPs solution, pH < 7.5 (a) and (b) at each pH recorded of SA-AuNPs at pH > 7.5.
All data analyses were evaluated by Wanisa.