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This approach can also be used to target recognition based on radar data.
Moreover, without dimension reduction, the model’s complexity is high and the learning speed is low.
Assume the original input data has been normalized.
The spectral data come from http://www.ucl.ac.be.
The dimension of the mass-spectrometric data for building mode is 1000.

The data acquisition and control algorithm is implemented in the MOTOTRON ECU.
The SNS control module communicates with the engine control module (ECM) through the SAE J1939 (CAN1) data link [7].
In DFT, the sequence of N data points x(1), x(2),…, x(N) is transformed into the list of coefficients of a finite combination of complex sinusoids, ordered by their frequencies.
Only the frequency range from 0 to 2 Hz of the spectrums are shown due to the fact that the Nyquist frequency of the sampled data is 2 Hz.
Moreover, discretization distortions (small amplitude steps) resulted from digitization of the continuous data during data acquisition can be clearly observed.

Data Processing There are 20 items of “attitude toward energy saving and carbon reduction”.
Female students’ attitude toward energy saving and carbon reduction is superior to males’.
Regarding samples collected by formal test and by SEM program Amos 17.0, this study probes into relationship between students’ attitude toward energy saving and carbon reduction in order to validate the fit between theoretical model and actual data.
The least is “ethics of energy saving and carbon reduction”.
Difference of demographic variables on attitude of energy saving and carbon reduction.

Through the simulated signal, it shows that the method can achieve noise reduction of non-stationary signals.
The proposed approach for noise reduction has been successfully applied to fault diagnosis of bearing signals.
The vibration acceleration data of bearings with faults are from the Case Western Reserve University [5].In the test instrument, the ball bearings are installed in a motor driven mechanical system, and are tested under several loads.
Application to Experimental Data.
Loparo, Bearings vibration data set, Case Western Reserve University, http://www.eecs.cwru.edu/laboratory/bearing/ [6] D.

New information is ultimately mined from “Data Sea” filed up in existed structures.
So much important information are hided behind the surging data , people hope to do the analysis of higher layer, for the purpose of better utilization on these data.
The current database system can efficiently carry out the function of data entry, searching and calculation.
However, it can't discover the existent relation and the rule in the data and can't predict the future development trend according to the existing data.
Lack of the methods of excavation knowledge the data concealed, cause the phenomenon of” the data explosion and the knowledge lackage".These systems have already constructed huge"data mountain" on the scene currently.

From the analysis of microstructure, it is thought that the HIC contribute dominantly to the reduction in the fatigue life in the strain rate range from 0.04 to 0.4 %/s and the metal dissolution is mainly responsible for the reduction in the fatigue life at the strain rate of 0.008 %/s.
Although the LCF data of various LASs in high temperature water have been produced up to recently, the data of SA508 Gr.1a LAS used as piping material in Korean nuclear power plant is insufficient.
In this regard, the LCF tests were carried out to produce the fatigue life data of SA508 Gr.1a LAS used in Korean nuclear power plant.
For comparison, the ASME design fatigue curves and the fatigue life data in air are also shown in Figure 1 [8].
From the analysis of microstructure, it is thought that the HIC contribute dominantly to the reduction in the fatigue life in the strain rate range from 0.04 to 0.4 %/s and the metal dissolution is mainly responsible for the reduction in the fatigue life at the strain rate of 0.008 %/s.

Achieving operational excellence through systematic complexity reduction in manufacturing system design Dominik T.
Reduction of Time-Independent Complexity in Manufacturing Systems.
Reduction of Time-Dependent Complexity in Manufacturing Systems.
Reduction of Periodic Complexity.
The sinus interval of the organizational periodicity was determined empirically (c=5 years) on the basis of the analysis of historical data and events as shown in Fig. 2.

All calculations in this study are based on data from hospital surveys and reliable secondary data sources.
MRx = AR·IF·DFx (2) Where: MRx = Estimated mercury in pathway X AR = Amount of mercury containing material fed into the system IF = General data on the mercury concentration in the feed material DFx = Distribution factor to pathway X According to the MFA procedure, this study was undertaken in three main steps: (1) system analysis; (2) data acquisition and calculation; and (3) simulations (more details in [12,13,14]).
All essential data used for estimating mercury flows through these two devices includes (1) Primary data collected from hospital surveys; and (2) Secondary data obtained from statistical reports, both published and unpublished articles made available by various reliable agencies.
For Hg-sphygmomanometers, the data from the Department of Health and hospital surveys indicated that this medical device was used in hospitals at around 0.40-0.54 pieces per patient bed [25].
Nisit Inlee from the Department of Health, Ministry of Public Health, for supporting data and facilitating the authors to conduct hospital surveys.

According to chemical data, the amount of iron in the waste is high (52.6%), and the most effective solution for extracting iron from the waste is the reduction process.
Khojiev, The technology for the reduction of metal oxides using waste polyethene materials.
Berdiyarov, et al., Low-Temperature Reduction Processing of Copper Slag.
Low-temperature reduction processing of copper slag doi:10.1007/978-981-19-5395-8_15 Retrieved from www.scopus.com [8] S.T.
Berdiyarov, et al., Carbothermal Reduction of Copper Slag for Processing into Pig Iron.

Qiang Xu, et al. systemically analyzed and researched variation of cumulative displacement, deformation rate and acceleration of landslide from the beginning of deformation to instability failure relying on a large number of monitoring data of landslide deformation, and found that variation of acceleration was completely different from cumulative displacement and deformation rate.
By integration analysis of monitoring data of typical section, curves of horizontal and vertical displacement with time were drawn, shown in Figure 1.
By integration analysis of monitoring data of typical inclinometer hole, deep displacement curves with depth were drawn, shown in Figure 2.
Fig.5 Changing curves of lateral deformation with reduction factor Figure 5 shows that lateral deformation increases with increasing reduction factor.
Lateral deformation has smaller increment with smaller strength reduction factor, and has a larger increment with larger strength reduction factor