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Fig.1 WEMS system block circuit diagram In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.
Power sensor used in this system transmits 5byte type data according to network protocol to monitor program.
It is transmittable in once time in simple system but to get the detailed information, data has to be divided into smaller size and processed in network communication to avoid bottle neck.
Connected Zigbee sink in USB port and transmit data to monitoring server using in/output. 3.
In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.

Drawing out three sets of data collected.
The input data and output data is one to one correspondence. m is the number of nodes of the neural output layer.
The data processed by EMD above is considered as alternative input data. the weight data of standard blocks when demarcating the loader is considered as alternative output data.
A group of sample data recorded in industrial site is the original input data.
The standard block data is seen as the standard.

The analysis of room temperature XRD data revealed that A1, A2 and A3 samples exhibit a complete solid solution between the crystal structures of LSCF cathode and BCZY electrolyte.
Introduction Reduction of the operating temperature of solid oxide fuel cell (SOFC) to intermediate temperatures solid oxide fuel cell (IT-SOFC) has greatly widened the materials selection for cells fabrication and accelerates the commercialization of SOFC technology.

The values of ion exchange equilibrium constants for different types of natural sorbents have been established by identifying experimental data for theoretical dependences.
Using experimental data on the kinetics of sorption, this dependence can be constructed, and the tangent of the angle of inclination, which is equal to the complex, to set the value.
Using experimental data on the kinetics of sorption, this dependence can be constructed and the tangent of the angle of inclination, which is equal to the complex, to establish the value.
According to experimental data, the limiting stage of the purification process is the settling of the smallest fractions, so the rate assessment was performed for this period.
The values of ion exchange equilibrium constants for different types of natural sorbents have been established by identifying experimental data to theoretical dependences.

All drawing dies used the same configurations which include an area reduction ratio of 20 percent, an approach angle of 7°, and a bearing length of 0.5 times the feeding wire diameter.
The measured data and hardness-stain reference curve of the copper are presented in Fig. 3.
Data for simulations Parameter Value/Condition Initial wire dimension, dia. × length (mm) ϕ8 × 12 Geometric model axisymmetric Stress curve (MPa) s = 371.7e0.4582 Friction factors 0.098 ~ 0.167 Elastic modulus (GPa) 110 Possion’s ratio 0.35 Approach angle (°) 7 Bearing length (d = feeding diameter) 0.5d Number of elements 5000 approx.

The driving force for grain growth results from the decrease in the free energy associated with the reduction in total grain boundary energy.
Data corresponding to steels from the work of Palmiere et al and Cuddy et al have similar amount of Ceq=0.07-0.09 and were obtained after heating for 30 minutes at the corresponding austenitizing temperature.
The discrepancy observed in Fig. 5 between data by Gladman et al and the other authors is probably due to the difference in the size of carbonitrides.

A test case is designed and manufactured based upon the design data simulated from the algorithm.
Finally, a test structure is presented to validate the design data of the algorithm.
The response and resulting data is presented in the next section.
Figure 9 presents the data of Figure 8 in terms of the excitations’ full time periods.
Empirical Data: An isolator, constant stiffness helical spring, is manufactured according to the stiffness data predicted by the transmissibility algorithm.

The real rotating speed fluctuation solution could be obtained after the data of signal acquisition post-processing by the methods of frequency spectrum analysis and modal analysis.
Based on data of signal acquisition, using the methods of fourier phase frequency spectrum, logarithm amplitude frequency spectrum, and self-power spectrum, the quantitative expression under the quantitative analysis stable state was obtained.
Using these testing data, the appraisal of the shafting fatigue life should be analyzed and the torque amplification factor could be calculated.
Based on data of signal acquisition, using the methods of fourier phase frequency spectrum, logarithm amplitude frequency spectrum, and self-power spectrum, the quantitative expression under the quantitative analysis stable state was obtained.
The real rotating speed fluctuation solution can be obtained after the data of signal acquisition post-processing by frequency spectrum analysis and modal analysis.

This trend motivated the development in machine intelligence especially in the field of medical data analysis.
Medical data analysis has been applied to a number of applications such as predicting the state of different diseases, open source software for medical data analysis and also in the pharmaceutical clinical trials etc.
SVM and Boosting have been the favourite methodologies applied for data analysis.
The training data consists of objects categorized into classes used to construct the SVM while the testing data is further used to classify the unknown input.
Here, we make an assumption that the training data is distributed uniformly over.

And there is an initial phase again, and knowledge management of an enterprise of coal of our country doesn't establish to be still complete and makes the resource control of data of an enterprise the structure of the sharing and the administrative function of the central data.
Data source is the basis of the knowledge management system, including the production management information within enterprise and external data and offline data.
Internal production management information stored in corporate operations, including database data in a variety of business and office automation systems include various types of document data.
To mine safety data source example, gas, pressure and the roof, coal dust, water, fire and other natural disasters, factors affecting the production of coal mine safety and the most difficult to control the most important factor [5], it factors in these major disasters the entering point, analysis of its impact on the various data sources of knowledge for the establishment of mine safety management system provides a data guarantee.
If the records of security incidents, analysis, statistics; underground power supply monitoring system data; safety inspectors data; mine environmental monitoring system data.