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This new data reduction scheme does not require crack length monitoring and includes the effect of the Fracture Process Zone (FPZ) ahead of crack tip.
A new data reduction scheme was proposed in order to overcome the difficulties inherent to crack length measurements during propagation and include the Fracture Process Zone effects ahead of crack tip.
Data reduction scheme ENF specimen The displacement of the loading point given by beam theory with shear effects is ( ) AG PL IE LaP dP dU f 13 33 12 5 12 23 + + ==δ (1) where A=2hB and I is the second moment of area.
Experimental results Numerical results Error GII ini (N/m) GIIc (N/m) GII ini (N/m) GIIc (N/m) GII ini (%) GIIc (%) ELS Average of 19 specimens 319 939 324 931 1.6 -8.5 St. dev. (%) 31.8 16.9 32.4 16.9 ENF Average of 24 specimens 570 910 570 900 -1.1 1.7 St. dev. (%) 31.8 16.9 32.4 16.9 Conclusions A new data reduction scheme based on the specimen compliance is proposed for the ENF and ELS tests.

The research of key data classification optimal mining methods for massive data Li Yinying, Wang Yunze HeBei institute of communictions, ShiJiazhuang Hebei 050071, China Keywords: inter-cell classification; mathematical model; fuzzy; convergence Abstract: The data classification is an important issue in massive data classification.
The data indexing is the procedure to extract and integrate the data features so that the data which are need to be indexed will maintain stable within a center range.
In the equation, denotes the single feature of the data, n denotes the amounts of the data features, t describes the final features of the data by calculation
（2）K samples are selected in the data set.
They are classified by K-means after dimension reduction with semantic matrix.

Although significant amount of information on conventional steel welds is available, lack of data still exists for the laser beam welded Al-alloys of aerospace grade.
Data were taken for sheet T4 at 15 points, separated by 3 mm, on a line perpendicular to the weld line.
The sheet was rotated from -2.5° to 2.5° around an axis perpendicular to the weld line during data acquisition to increase the number of diffracting grains.
The data acquisition time was 23 seconds to match it with the slow motion of the rotating table.
The program "Fit2d" was used for data reduction.

The maximum punch load increases with drawing ratio, and maximum 5.5% of load reduction was measured when DR=1.74.
The research papers reveal that the reduction of forming load can be attributed to the various mechanisms; stress superposition, acoustic energy absorption in local regions(vacancies, dislocations and grain boundaries), reduction of interfacial friction, and thermal effect.[8] However, the load reduction in sheet forming might be only surface effect by the reduction of interfacial friction because ultrasonic energy is not enough to cause acoustic softening in the material.
Mechanical properties were obtained from uniaxial tensile tests of the SPCC and the results were characterized to use as input data for finite element simulations.
The relationships between anisotropy parameters and Lankford coefficients are as follows, ; ; ; (3) Mechanical properties and the parameters to describe hardening and anisotropic behavior are listed in Table 1, and those were used as input data in finite element simulations.
By comparing the experimental results when LDR=1.74, 5.5% reduction of forming load is attributed to 16.7% reduction of interfacial friction by ultrasonic vibration.

Data mining in medical domain has gained great potential in discovering the hidden patterns from large data sets.
Classifying the raw medical data is a tedious task, because the data may have some missing or irrelevant data.
Discretization is an important step in data processing to convert the data into discrete intervals
“Effective dimension reduction methods for tumor classification using gene expression data”, Bioinformatics, vol.19, no.5, 563–70, 2003
Prather et al., “Medical data mining: knowledge discovery in a clinical data warehouse,” in Proc.

Analysis for SCR Control System Based on ANN Guanqiang Ruan 1 2, a, Zhengdong Zhang 1,b and Qiang Wang 2,c 1 School of Energy and Power Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Yangpu, Shanghai, 200093, China 2 School of Automotive Engineering, Shanghai Dianji University, No.88 Wenjing Road, Minhang, Shanghai, 200245, China aruangq@ sdju.edu.cn, busstzzd@126.com, cwangqiang@sdju.edu.cn Keywords: Artificial Neural Network (ANN), Selective Catalytic Reduction (SCR), Modeling, Experiment Abstract.
The data of urea injection is obtained from MAP, the many experiments with different revolutions and loads are necessary.
Introduction For modern diesel engine, selective catalytic reduction (SCR) control is based on MAP which is obtained from experiments with different engine running conditions.
Control Strategy for Emission Reduction with SCR. 2003 SAE International Truck and Bus Meeting and Exhibition (Boston, American, November 10-12, 2003). p.3362

The interval of the statistics was 30 minutes. 470 experimental data was collected which formed an original traffic time series. 4.1 Simulation experiment 430 data are selected as the training set, the last 40 data is test set.
The figure 5 shows the before and after the noise reduction.
Obviously, the prediction method mentioned in this paper can get the most approximate prediction value with the real network traffic data compared with the three methods mentioned above.
(1) Table 1 shows the prediction error correlation data of the prediction methods mentioned above.
It is revealed in the simulation result that the data fitting effect and the model prediction accuracy mentioned in this model is better than using LSSVM, chaos model or LSSVM-Chaos singly.

Meanwhile, data packets are cached in the nodes of the routing path.
Otherwise, the Data packet is unsolicited and discarded.
Named data networking (ndn) project.
A data-oriented (and beyond) network architecture.
LANES: an inter-domain data-oriented routing architecture.

The reduction behaviors of catalyst were measured using H2-TPR in a Micromeritics AutochemⅡ 2920 apparatus.
XRD data indicate that the fomation of spinel structure after HTlcs calcined at 550°C.
Mg-Fe and Mg-Al-Fe catalyst looks similar reduction process and the latter have higher reduction temperature.
The first two reduction peaks may attibute to the reduction of hematite to Fe2+ and Fe0 and while Mg(Fe, Al)2O4 was transformed into Mg1-xFexO.The third peak corresponded to the the reduction of Mg1-xFexO to metallic Fe0[1].
Fig.6 Raman spectra of fresh and used catalysts In the Raman spectra of Mg-Fe and Mg-Al-Fe catalyst (Fig. 6), there are four bands (211,327,486 and 709 cm−1, respectively) belonging to the MgFe2O4, which are well agreement with the data of XRD.

However, there is not still deterministic data and method about the energy saving effect of natural ventilation in residential building.
The wind speed and direction data in ESTPNV in TMY [5] were obtained for the ventilation environment simulation of rooms with the PHOENICS software.
The cooling loads reduction of the living room was the highest among the four rooms.
The cooling loads reduction of bedrooms was small.
The meteorological data for thermal environment analysis in China.