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The data obtained from laboratories and secondary data were used to develop an empirical model.
The main data used in this study were obtained from the laboratories result.
The descriptive statistics result showed the statistics information about the parameter data.
Summaries of descriptive statistics data for MDD model Variable/Predictor Mean Std.
Summaries of descriptive statistics data for OMC model Variable/Predictor Mean Std.

Designing a visual monitoring system to detect fire flame is a complex task because a large amount of video data must be transmitted and processed in real time.
This real-time fire monitoring system uses the motion history detection algorithm to register the possible fire position in transmitted video data and then analyze the spectral, spatial and temporal characteristics of the fire regions in the image sequences.
This tends to result in a large reduction in the computational costs.

Adsorption model of Langmuir and Freundlich from empirical data is used for this experiment.
The experimental data fulfilled pseudo second-order kinetic models.
The increase in pH, means increasing the concentration of OH-, cause a reduction in the positive charge SMZA surface so that interaction adsorbent with the anion dye CR decreases and the amount of adsorption decreases Effect of contact time on the adsorption CR.

The paper contains: problem definition, presentation of the measured data and the final analysis.
The main idea of PCA is to reduce dimensionality of a data set in which there are a large number of interrelated variables while retaining as much as possible of the variation present in the original data set.
Data set.
The projection of the data set into plane of the two most important PCA (Fig.3) factors shows three concentration of data being equivalent to the CA results identifying the same groups.
Data set.

ABSTRACT - Research with emphasis on substitution of energy sources used in worldwide for renewable energy undoubtedly indicates that the use of biodiesel would be an option to increase the income in rural areas, reduction in oil derivatives spending and also new opportunities for job creation.
The theoretical density used was (ρ) of 5.361 g/cm3 for Ni-Zn ferrite, obtained according to the crystallographic application JCPDF 08-0278 data packet of Shimadzu program.
It was also observed that this tendency temperature rise due to the increase of Cu2+, was accompanied by a reduction in the time of combustion flame, which was 123 and 47 s, respectively.
The presented data show that the highest value of specific surface area of 48.89 m2g-1, was obtained to the sample Ni0,5Zn0,5Fe2O4 over the lower surface area value of the sample Ni0,1Cu0,4Zn0,5Fe2O4, which was 18.06 m2g-1.
Overall, the results indicate that there was an approximately 37% reduction in specific surface area for the sample with Cu2+ addition, leading to an increase in particle size and a decrease in pore volume.

(i.e., data is being communicated from the sensor but the data are wrong).
PCA can be defined as a linear transformation of the original correlated data into a new set of uncorrelated data.
Figure1 shows the results of dimensioned data based on two principal components for 2000 normal samples and 500 abnormal samples. “*” represent normal data while “o” represent abnormal data.
It is clearly to see normal data are centralized and abnormal data are far away.
At the same time we detect fault data with SPE.

This paper proposed that install the AE sensor on the base for collect the fault AE signal, but the signal was weak, so carried on EMD first, and selected the former 8 IMF to construct the original feature, than carried on KPCA for dimensionality reduction and get the optimized feature.
Use SWAES’s full waveform acoustic emission detector and acoustic emission data acquisition system for data collection, setting the sampling frequency fs = 1MHz, sampling time t = 0.5s, the speed was 2160 rev / min.

The main advantages of using SMAs include the reduction of the system weight, the ease and reliability in application, and a simple control strategy.
In this way, Tab. 2 lists data relating to input currents (I), activation time of SMA elements (Ton), maximum temperature reached during test (Tmax), cooling time of SMA actuators (Tr), minimum temperature reached during the test (Tmin) and test duration (Ttot).
The temperature behaviour (a) on the SMA element and IR data collection (b).

Put data of mining subsidence and layer’s data of land use into ArcGIS, then change region of mining subsidence to regions of the different deep subsidence, then intersect layer of mining subsidence with one of land use, the different deep subsidence and land use database are spatially analyzed and the different lands are found out and their areas are calculated, ArcGIS expresses the result in the way of image.
The composite analysis is based on vector data, a small amount of data calculation, accurate calculation, but the operation process is quite complicated it may take a long time to composite in a large number of factors.
As the composite of spatial data structures are vector types, the extracted polygon express predicted results fairly accurately.
[3] HAN Bao-min, OU Ji-kun, CHAI Yan-ju, etal, “Method for processing data observed from GPS for subsidence surveying in mining area,” The Chinese Journal of Nonferrous Metals.
[4] Chen Jian, “Simulation and Calculation and Data Organization of Mining Subsidence Based on GIS,” Shandong University of Science and Technology, 2003

It is yet important to validate this common belief by scientific data.
However, it showed dramatic changes in the later Tang dynasty demonstrating the reduction in forest coverage thus water regulating capability.