Search results

The implementation of this condition provides the sintering temperature reduction by 150 – 200 °С.
Therefore, the recrystallization growth of grains must be significantly decelerated in the issue of sintering activation energy reduction and a low motion speed of phase boundaries.
The table data show that at 1550°С the composition OC-1.25 sinters much better than the pure CZC.

The data of flexural strength tests of the samples obtained by the method of VaRTM and hand lay-up molding are presented.
The obtained data are also confirmed by microscopic research.
The data of the strength tests of samples which were prepared from integral structures are presented in Table 1.
Data of Mechanical Tests of FGRP.
According to the data (Table 1), the maximum flexural stress of integral sandwich constructions increased by 13%.

However, due to limited resources, there is an increasing pressure on their protection and reduction of water consumption by, for example, closing water circulation.
The proposed solution enables the reduction of water consumption and chemicals used for the preparation of these liquids.
Therefore, a universal method of wastewater treatment enabling a reduction in water use in the dairy industry can be proposed [7].
As the data comparison indicates, the compaction of proteins in the concentrate occurs at the expense of the filtrate during the filtration.

The experimental data and fluid dynamics simulation are shown in Fig. 2.
Characteristic Curve of Orifice Meter (CFD) and experimental data from [4].
This validation showed that the technique used is successfully appropriate to the experimental data.
The validation of experimental data collected in the UFU Chemistry Engineering School showed that the numerical simulation using Fluent software has adapted well to the experimental data.
This is consistent with the experimental reality, so the data follow the expected.

Therefore in order to increase dependability of receiving data, the system must continuously send out 255 frames data.
After receive a piece of data-frames, the receiver system will compute and check these data, if the outcome was right, then the ID code of some tire would be compared with the ID that was memorized in 8K-byte memory.
If the two ID matching, the data would be deal with and the relevant LED would light.
At last data-frames would be send out through the COM.
Set MC33594 LED flash Wait…… Receive data-frames ID accord？

Present situation Currently, the building energy consumption monitoring platform is generally divided into data acquisition system (field instruments, field data acquisition equipment), the communication channel, master system and information browsing.
Lack of depth data analysis and cannot achieve the two-way data transfer.
Intelligent terminals installs a professional, standardized client by middleware implementing data statistics, analysis, display and the setting of data bound value, demand value and links with the background expert database.
It implements energy data intelligent control and hierarchical processing and realizes data interconnection between terminal and the backend server.
Meanwhile, authorized personnel can also log on to the system via the Internet, check the relevant data.

So the establishment of growth status assessment system for crops can be done by obtaining and analysis hyperspectral image data.
So when the data processed, it used to be select the range 500-800nm.
Therefore, before processing the data, we should resample the hyperspectral image on the ENVI and obtain a three-dimensional data blocks by 1344×800×513.
Principal component analysis (PCA) is widely used for dimensionality reduction, loss data compression, and feature extraction.
This technique projects the data orthogonally onto a lower dimensional linear space so that the variance of the projected data is maximized.

Pre-processing Data: The data pre-processing process begins by cleaning the obtained data from noise or dirty data that could compromise the outcomes of the machine learning model design.
Data Classification: The final process is data classification of the vibration data that has been collected using accelerometer.
Data Classification.
This is evident from the testing data, which accounts for 25% of the total data, or 13 data points from each road condition label.
Herrera, “Data Preprocessing in Data Mining,” 2015.

The numerical results were evaluated by direct comparison with experimental data.
This mold outline is required to be able, in laboratory experiments, to determinate the porous media permeability from the experimental data.
Table 2 – Viscosity and permeability data for each experiment.
To validate the simulation obtained with PAM-RTM, the results of the flow front position were compared with experimental data, as shown in Figs. 3, 4 and 5.
c) Numerical results showed good agreement with the experimental data in terms of front flow position, filling time and injection pressure.

Online long-term tracking is a challenging problem as data streams change over time.
This step will lead to the reduction of the searching range by the detector.
From Compressive Tracking Algorithm we know, there is a very sparse random measurement matrix whose rows have unit length projects data from high dimensional image space to a lower dimensional space.