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In the linear dimensional reduction methods [6] efficient damage predictors EDP’s are supposed to be of the form (4) and the components of the vector are solutions to the following, recursively formulated optimization problem: (5) The methods differs in the choice of the functional , providing the data separation measure.
It is worth noting that since the spread of data due to random effects, i.e. the within class variance, is factored out in the denominator of the measure , it is easier to distinguish different groups of data in the space spanned by the first EDP’s obtained in this way.
The spread of data is most clear in the space spanned by the first two EDP’s FLD_1, FLD_2.
In the case of the PCA method, only the first EDP distinguish data corresponding to different crack length, whereas in the case of Fishers’ method both of the indices FLD_1, FLD_2 improve data separation.
Figure 4: NN (left) and LDA (right) data classification domains.

Industrial Structure Adjustment, Technology Innovation and Energy Efficiency Improvement -- An Empirical Analysis Based on the Statistical Data of Hubei Province Dingqiang DUAN 1, a, Qiuhong HU 2, b 1 Wuhan Textile University, 1 Fangzhi Road, Wuhan, P.
China addq-tma@163.com, bdenise8250@163.com Keywords: Energy Efficiency, Industrial Structure Adjustment, Technology Innovation, energy consumption Abstract: This paper reviewed and analyzed the literature about the improvement mechanism of energy efficiency, examining the relationship among industrial structure adjustment, technology innovation and energy efficiency with Hubei province’s data during 2001~2010, and finding that industrial structure adjustment and technology innovation can promote energy efficiency very significantly.
This paper intends to verify the relationship between industrial structure and energy efficiency with economic statistical data of Hubei Province during 2000-2010, analyzing the performance and mechanism about how to improve energy efficiency by adjusting industrial structure and developing technology, and putting forward the corresponding policy recommendations.
Thirdly, we should make a good use of preferential tax policies to encourage the application of the technology of energy-saving emission reduction, and guide enterprises and residents to comply energy-saving emission reduction policy.
Test on Energy Consumption and GDP in China -- An Empirical Analysis Based on Provincial Panel Data.

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.

Introduction Background Demand for data rates beyond Gbps has been increasing in order to manage the exponentially growing data traffic in VLSI communications.
Multiple-valued (MV) coding techniques employ more than 2-level signaling amplitudes to represent data.
Furthermore, the reduction of data rates employing 4-PAM signals can mitigate jitter effects.
Jitter is the deviation or displacement of the pulses in high-speed data transmission.
In NRZ singling, 10 ps jitter corresponds to 4% to the 250 ps data period.

Due to uncertainties in the derivation of numerical data and other related information, such as sources of raw materials, the embodied carbon emissions are calculated and analyzed using material emission factors using the Life Cycle Assessment method.
The water industry research strategy has three phases with decreasing priorities based on the reliability of data and information.
Product information was derived from technical data sheets and operating and maintenance instruction manuals.
A level of sparse and/or inaccurate data is an unavoidable feature of such analyses; for example, the sources of raw materials used in identical products from a single manufacturer may vary widely.
Data for the individual processes applied to each component of the pump unit analysed and the CO2 emission developed are not available.

The pretreatment tasks are done including the point cloud data reduction Chord where the deviation sampling method is used.
Fig.1 Broken mold’s point cloud data Pretreatment of Broken Mold’s Point Cloud Data CMM measurement non-contact measurement inevitably imports data errors during the scan. especially in some sharp edges and border.
So it is necessary to pre-process the gathered discrete point cloud data to get satisfying data.
That is the data points should be reduced, reduced noise, aligned and relocated, however, the feature data of broken area should not be reduced to prevent data loss data distortion.
Fig.3 Point cloud data reduction of broken mold Surface Remodeling of Broken Mold After finishing the point cloud pretreatment, firstly , the mold contour is built.

By adopting the strength reduction method makes it realize When use ANSYS to analysis on slope stability, Firstly select the initial reduction coefficient F, Then the strength coefficient of soil material of slope would be reducted, The cohesion and friction angle after reduction respectively Eq 8 and 9
Then reduct c and,put them into the slope model to calculate, If convergence, Then the slope is stable, and continue to increase the reduction factor Fs, Until the program is not convergence, The reduction factor is stable or safety coefficient.
Adapting Mohr-Coulumb criterion and the strength reduction to the safety coefficient of the high slope of the gradual reduction among the analysis, Until the plastic damage happened, When the model solution is not convergence,The reduction coefficient is the slope safety factor[5-7].
Fig2 The high slope model after discretization Fig3 X direction displacement nephogram Fig4 The convergence curve of high slope solution Fig5 Not convergence curve when reduction factor is 2.4 Fig6 X direction displacement when reduction Fig7 Plastic deformation nephogram when reduction coefficient is 2.4 coefficient is 2.4 Compared from Figure 3 and 6 can be seen, High side slope in the steady state, Displacement of X direction is just the compression deformation within the soil, And the deformation is continuous, While in the critical state, Soil of high slope will be the obvious dislocation, And in the non static state, Minimum horizontal displacement of high side slope is 24cm in Figure 6.
high slope is instability. 2.3 The practical measures of high slope in monitoring Monitoring horizontal displacement of slope toe to judge slope in what state,According to the value of horizontal displacement of the critical state model in ANSYS as the warning value.Field monitoring horizontal displacement data in 0~24cm,The slope is in the steady state, If the measured value exceeds 24cm, The slope will be regarded as is in critical state, Soon it will be instability.

CORED(C) is C relative to D, a relative reduction; otherwise, to step three.
From I = 1 to begin a subset of condition attributes C-A repeat: (1) For each attribute , Calculate the positive region on UI after properties c added A , is 0, Then put out reduction; (2) Find the set of the largest property c-T; (3) Calculate for the branch each attribute q in T, ; (4) I=I+1, calculateand; IF() { put out C relative to D, a reduction, and; if T is not empty, turn(3); Otherwise, turn step 5 } ELSE turn (1) Step 5: Finally get all the relative reduction.
(2) First we consider a,, , , , so, RED1={a, c} is one of reduction
(3) Second, consider the b, , , U/A=U/(C-a), , so, RED2={b, c} is also one of the reduction.
[3] Pawlak Z.Rough set-theoretical Aspects of Reasoning about Data.Dordrecht: Kluwer Academic Publishes,1991.

Microbial inactivation data were used to obtain, which after the identification of the critical parameters to reduce the content of spoilage microorganisms in orange juice.To provide a base of scientific knowledge and support the innovation.
Statistical analysis Statistical analysis was carried out using data analysis functions in Microsoft Excel and Significant differences between the results were calculated by analysis of variance (ANOVA).
Effect of the number of pulses on E. coli reduction As t the number of pulses from 4 to 32, the E. coli reduction went up a little at the same imput voltage (Fig. 3).
Effect of the total soluble solids on E. coli reduction Fig.5 indicates that at any total soluble solids, the E. coli reduction decrease a little with the the imput voltage of 4kV,the number of pulses of 64 and the juice thickness of 2mm.
At the total soluble solids of 40ºBrix, the E. coli reduction decrease by approximately 0.56log.

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.