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Sequentially, the COD reduction data efficiency includes B 20% (88.65%), L 20% (84.2%), A 10% (80%), A 20% (79.92%), ABL 10% (72.3%), B 10% (25.67%), ABL 20% (-10.87%), with the greatest efficiency occurring in the L10% treatment at 89.76%.
COD Levels Data.
The data presented, shows that an increase in graphical data corresponds to a higher percentage reduction in COD levels, while a decrease in graphical data, corresponds to a lower percentage reduction.
Overall, the data graph shows different COD reduction data, with some data experiencing a significant decrease and others showing no significant decrease.
Based on analysis data from the 16S rRNA gene sequence, it was discovered that the third isolate used isolates A, B, and L, was identified as Alcaligenes ammonioxydans.

Then the data after reducing dimensions was used as the input of artificial neural networks (ANN) to classify steel samples.
So it has increasingly become a difficult problem in LIBS analysis to extract useful information from the raw spectral data and reduce the dimensions of the original data.
Data sets: Two data sets were used to verify the classification ability of the model.
PCA data reduction method is a good analytical approach considering this method does not need human intervention and can be developed as an automatic solution.
Conclusions We acquired spectra of 27 steel samples by LIBS and used two methods to reduce the dimensions of the data.

Data from different repositories (eq.
Data processing chain from the physical values to the stored data in the data repository.
Recorded building data can be split into two main groups in general, periodic data and event -triggered (or event-related) data.
Example of generated periodic data set (red) based on typical data from an occupancy sensor (blue).
This can be useful if the data is subjected to analyzing processes using binary input data.

Average NOx reduction rates of 78.5% and 60% are achieved for the ESC and ETC tests respectively.
To achieve this, a minimal NOx reduction rate of 50% is necessary.
Experimental data from 32 runs of European Stationary Cycle (ESC) and European Transient Cycle (ETC) demonstrate the reliability of the rule-based SCR control strategy.
Average NOx reduction rates of78.5% and 60 % are achieved for the ESC and ETC tests respectively.
Marti., “NOx-reduction in diesel exhaust gas with urea and selective catalitic reduction,” Comb.

Because the vibration signals of the centrifugal fan contains a variety of complex signal noise.Effective extracting fault vibration signal characteristic information is a prerequisite for correct diagnosis.With the development modern signal processing and analysis technology, more and more fault information needs to be extracted.How to choose the most effective fault characteristic is an important and difficult problem to solve[1].MLM is a kind of reduction method of nonlinear data dimension[2~3].It can effectively find links and regularity of high-dimensional data and fully exploit the data of useful information and features.
Typical fault vibration of centrifugal fan The experimental data from the Huadian Electric Power Research Institute of Fluid Machinery Laboratory.
Feature extraction of centrifugal fan vibration Manifold learning is such a dimension reduction tool, that can be saved under the condition of nonlinear information to compress feature information.In this paper, experimental results for the raw data, these samples will be treated as an input LLE algorithm.Embedding dimension were taken as 1, 2, 3, 4 learning and studied.
Format learning samples and make the classifier for training. 20 sets of data extracted from the characteristics of each sample in a failed state after completion of training.
Nonlinear dimensionality reduction by locally linear embedding [J].

Abstract.This paper investigated the reduction of benzo[a]pyrene (BaP) in coal tar pitch by modifying with 1,4-Benzenedimethanol, Divinylbenzene and Trioxymethylene.
Results and Discussion The data on reduction of BaP with 1,4-Benzenedimethanol were shown in figure 1 and figure 2 .
Figure 1 Reduction of BaP with 20% 1,4-Benzenedimethanol at various temperature Figure 2 Reduction of BaP with 1,4-Benzenedimethanol of various content at 120℃ The experimental data on conversion of BaP with divinylbenzene in both case, respectively of heating temperature and divinylbenzene content, were shown in figure 3 and figure 4.
Figure 3 Reduction of BaP with 12% divinylbenzene at various temperatures Figure 4 Reduction of BaP with divinylbenzene of various content at 130℃ The both BaP decreasing rate and converting rate are firstly increasing and then decreasing in both cases.
It is also evident from the results that these crossing link monomers bring about the reduction in the following order: Trioxymethylene> 1,4-Benzenedimethanol > Divinylbenzene.

In order to correctly evaluate these diagrams, an advanced own developed software tool was used for the data filtering and appropriate modifications.
The initial purification/transformation technique applied on the data was the elimination of any duplicate points and the reduction of the number of points by forming the arithmetic mean of the coordinates of a given number of consecutive points in time.
Similarly, the next data modification is motivated by the nature of the experimental system.
Then, the resulting gaps in the data sequences were filled with newly created points by using polynomial approximation gap filling method (Fig. 3c).
a) The measured Pv–CMOD diagram b) The diagram after modifying its ascending part and elimination of any duplicate points and the reduction of the number of points (1. step) c) The diagram after “snap-down” and creating a new points by using polynomial approximation gap filling method (2. step) d) The recalculated Psp–CMOD diagram e) The final diagram after obtaining the points at the end of the diagram f) The indication of deduction the input data for the Double-K fracture model Fig. 3 Particular steps of the processing of the diagram for specimen V_1 and indication of deduction the input data for the Double-K fracture model Double-K fracture model.

In cantilever beam system, through the experimental method to study vibration reduction mechanism of particle collision damper.
Damper is fixed to the cantilever beam free end, acceleration sensor is fixed opposite the damper, the vibration signal is given feedback to data acquisition analyzer through the charge amplifier, the analyzed data transports to the computer software DASP(Data Acquisition & Signal Processing), can get the vibration frequency domain and time domain figure of the cantilever bean system, adjust the frequency to resonant frequency that makes the maximum amplitude of the cantilever beam.
(1) Experimental Data and Data Analysis: No Additional Plus Damping Vibration and Steel Balls Damping Vibration.
Although the mass of the impacters is same, the vibration reduction effect is not obviously as the impacters diameter changes.
The aluminum filling rate is 40%, the impacters’ mass are same, but the vibration reduction effect is absolutely different.

Efficient data mining model design for a large database in the cloud computing environment ZHAO Zhan-kun Hebei Software Institute, Baoding Hebei 071000 Keywords: cloud computing; Data; mining model; Abstract: Efficient data mining model design for a large database in the cloud computing environment is studied.
Therefore, looking for effective data mining methods for large databases, has a very broad space for development in the field of data processing [2].
Due to the amount of data in the large database is gradually increasing, making data in large database presents a strong diversity under cloud computing attributes environment, leading to during the process of data mining in large database based on the traditional tree-based PSO method, the adopted data main element characteristics and associated features have significant volatility, resulting in unable to obtain accurate data mining results [3].
Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems[J].Computers & Mathematics with Applications,2005,51(9-10):1571-1583
Data Preparation for Web Log Mining [J].

This was attributed to difficulty in estimating the mean rolling temperature from the available data.
The required input data are rolling speed, roll radius, furnace temperature, initial and final height of the specimen, and specimen width.
From the output of the program, the temperature distribution, yield stress validation, rolling load and torque distribution across the thickness of the rolled specimen at different pass reduction are evident. 2.5 Experimental Data used in validating the new hot rolling simulation was obtained through preliminary metallographic, hot torsion tests, and hot rolling experiments performed on the as-received wrought AISI316 with inclusions of Nb, V and Ti in the temperature range (600 – 1200) 0C and strain rate range of 3.6 X 10-3s-1 to 1.4s-1.
The program made use of experimental and theoretical data from a study of loads and torques for light reduction in hot flat rolling at strain rates carried out by [2] and the results from the reverse sandwich effects in HCSS316 hot flat rolled at low strain rates and low reductions investigated by [13] as input data.
(c) The ratio of experimental to calculated Torque based on RMS mean rolling temperature on mill A was high about 1.17 at low reductions (5%) and low about 0.91 at higher reduction