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Multivariate statistical analysis explains the huge and complicated current situation of the original data efficiently, concisely, and explicitly.
It simplifies the original data into representative factors, or bases on the similarity between data to cluster and identify clustering outcome.
This implies that high accuracy can be obtained when discriminant and cluster analyses are applied for data evaluation.
This study provided a novel thought of applying statistical diagnosis approach on anatomizing groundwater monitoring data.
Before subjecting to data processing, data selection and data standardization were the essential steps of data pre-processing.

Taken overall, the data suggest potential for the use of PLA in treating common wine faults, particularly ‘ladybug taint’, which is caused by elevated levels of IPMP.
Only data for IPMP and IBMP are reported here.
Measurement of lactic acid in the treated wines showed no change compared to control (data not shown), suggesting there was no degradation of PLA into its component lactic acid monomers.
Data represent the mean values of replicate treatments and measurements +/- SD.
Discussion and Summary This preliminary data demonstrates the capacity of PLA to decrease levels of these important taint compounds in red wine.

Therefore it is not straightforward to compare kinetic data for each temperature.
Data from all three temperatures are plotted together.
The correlation coefficient R = 0.74 was quite low owing to the large scatter in the data.
The agreement between the fitted curve and the experimental data is fair.
It was possible to fit Eq. 2 to the experimental data.

Fig.2 X-ray diffractograms of the reaction products Fig.3 Fracture surface of sample (1300℃，℃，℃，℃，2h) (1300℃℃℃℃, 2h) Fig.4 The microstructure of coal gangue The data of the bulk density and the flexural strength is shown as a function of holding time at 1400℃in Fig.5.
When the holding time is shorter than 2h, the extent of reduction is lower, which makes the amount of SiC reduce.
Summary It is possible to produce SiC products from coal gangue and carbon by carbothermal reduction synthesis.
On the other hand, when the temperature is too low or the holding time is too short, the carbothermal reduction will not entirely react.
Lee and I.B.Cutler, "The reduction of silica with carbon and silicon carbide", J.

The roller size refers to the site data.
H200××××200 column H-beam Reduction Ruler Analysis.
Thus, the wave of F5 pass is disappear and no wave appear on F7 pass, the datum are shown in table 4.
The recommended reduction ruler is shown in table 5.
Increasing the Web Reduction on Pass 5.

The digging spring tooth for corn stubble harvester including self-exited vibration S-shaped spring handle and curved chisel-shaped bionic tooth is designed based on the mechanism of drag reduction of self-excited vibration and bionic drag reduction for reduce digging resistance and power consumption, and the statics analysis of digging spring tooth is done by ANSYS software, the stress and strain distribution diagrams show the design is reasonable.
Design of self-exited vibration S-shaped spring handle In order to reduce the engine power consumption and the digging resistance, the self-exited vibration S-shaped spring handle is designed by the research of drag reduction mechanism of self-excited vibration, as the figure 1 shows.
When the handle is forced, it can generate restoring force and can make the whole spring-tooth vibration to achieve the purpose of reduction tractor-drawn resistance.
Based on the above analysis and the depth research of bionic drag reduction mechanism, the bionic tooth of the excavating spring tooth is designed by the measuring results of claw curved contour shape and the prototype of the front foot middle toe of field mice, as the figure 3 shows.
Table .2 Pressure datum of soil to two teeth with different α（KPa） wedge angle α pressure 25° 560 35° 721 Table .3 Pressure limit data of excavating spring-tooth MPa stress wedge angle α=25° wedge angle α=35° Max. value 570 573 Min. value 0.177 0.182 Table .4 Distortion limit data of excavating spring-tooth （mm） displacement wedge angleα=25° wedge angleα=35° Max. value 17.498 17.172 Min. value 0 0 Fig.6 Stress contour of excavating spring tooth when is 35° Fig.5 Stress contour of excavating spring tooth when is 25° As can be seen from the overall stress distribution of excavating spring tooth, the stress is mainly distributed in the elastic handle and bionic tooth engagement end the circular position of radius 30mm, and stress increases with wedge angle increasing; the maximum stress value is 573 MPa when the α is 35°, and the maximum ultimate strength of excavating spring tooth is 735 MPa, so the spring tooth strength meet the design requirements.

Optimal Uncorrelated Unsupervised Discriminant Projection Yu’e LIN 1,a ， Yongcun GUO2,b 1School of Computer Science and Engineering, Anhui University of Science and Technology Huainan, 232001, China 2College of Mechanical Engineering, Anhui University of Science and Technology Huainan, 232001, China alinyu_e@126.com, bguoyc@aust.edu.cn Keywords: manifold-based；dimensionality reduction；face recognition；small sample size problem；uncorrelated Abstract.Unsupervised Discriminant Projection (UDP) is a typical manifold-based dimensionality reduction method, and has been successfully applied in face recognition.
PCA constructs a low-dimensional representation of the original data via minimizing the reconstruction error.
But both PCA and LDA fail to explore the essential structure of the data.
A lot of researchers are attracted to straightforwardly find the inherent nonlinear structure of the data and then many manifold-based learning algorithms are proposed.
Defining affinity matrix is as follows (1) Where represents the neighborhood relation between data sampleand .

The efficiency of the system is improved with the help of data dimension reduction extraction feature.
We take the simulation data to build this diagnostic system.
The Time Series Data.
Fig 2 Residual Variance of ISOMAP Dimension reduction ISOMAP aims at keeping the distance variance values between data points to be minimum before and after the dimension reduction.
To show the dimension reduction effect intuitively, some data is randomly selected whose dimension is reduced to be 3 d in fig.3.

Acquisition of data for management purposes includes data on the operation of machinery and crew, the circulation of materials and semi-finished products, production orders, productivity, quality, etc.
This leads to the definition of the acquisition method, referred to as semi-automatic data acquisition (otherwise called assisted manual data acquisition).
Solutions responsible for data acquisition should constitute integrated system, combining data sources in the shop floor, middle-layer sub-systems responsible for the pre-processing and reduction of the amount of data, as well as communication interfaces and industrial database responsible for data archiving.
Areas of WWTP Not Included in Current Data Acquisition System.
Proficy Historian is equipped with calculation collector, allowing creation of real-time data pre-processing, reduction and interpretation procedures, thus data presented in visualisation and reporting module, as well as exported to MES or ERP systems, are more suitable for management support – there is no risk of overlooking important information in data flood.

Experimental Data Set.
This data has been cleaned up – users who had less than 20 ratings or did not have complete demographic information were removed from this data set.
The data sets u1.base and u1.test through u5.base and u5.test are 80%/20% splits of the full data into training and test data.
Using the training data set we generate predictions by using different model sizes.
However, recommender systems are being stressed by the huge volume of user data in existing enterprise databases, and will be stressed even more by the increasing volume of user data available on the Web.