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Online since: September 2025
Authors: Muhammad Ali Johar, Kanwar Singh, Albert Augustus Burk Jr.
We analyzed the data, identified the pattern, and have used it to make predictions or decisions to keep the deviation within control limits.
Within the last decade, high quality 150 mm SiC substrates have become available which, when combined with 150 mm epitaxy should further drive cost reduction, and multiwafer epi reactor serves the purpose of reducing the cost [6].
To summarize the data, Microsoft excel was used with JMP17 to analyze the data fitting the curves to get the trends of doping incorporation efficiency and growth rates as function of cumulative coating on reactor parts.
Online since: August 2009
Authors: Rong Zhou Gong, Hai Feng Li, Li Ren Fan, Gang He, Xian Wang, Ming Zhong He, Ze Kun Feng
The data showed that the max Hc was obtained when substitution of x=1.0 (Hc=63.9 Oe), while the best Ms was obtained when substitution of x=0.5 (Ms=54.02 emu/g).
Table 2 The elements percent in the Ba(ZnZr)0.5Fe11O19 ferrite measured by EDS analysis Weight / % Ba Fe Zn Zr O Theoretical 12.11 54.18 2.88 4.02 26.81 EDS analysis data 11.79 58.07 2.65 4.23 23.26 Magnetic properties.
There is large reduction in hystersis and hard ferrite is converted to soft ferrite, making it useful for recording media.
Online since: May 2016
Authors: Wan Mohd Azwady Wan Ahamad, Dzaraini Kamarun, Mohd Kamil Abd Rahman
The sensor was built in house using a polychromatic light source, polarizer to produce a transverse magnetic wave, high refractive index waveguide, gold-coated disk, single channel cell and spectrometer for data analysis.
During this transportation of the sample period, contamination and reduction of sample activity may occur, thus, affect the accuracy of the test result.
Homola, Data analysis for optical sensors based on spectroscopy of surface plasmon, Meas.
Online since: October 2014
Authors: Jin Yang Lin, Zhuo Ying Zhang
The data showed that FEU could prolong survival time of oxygen deprivation and exhaustive swimming time by reducing BLA and BUN levels and increasing liver glycogen and muscle glycogen contents.
Data analysis was performed with SPSS v 16.0 software.
The muscle produces much lactic acid (LA) when it obtains enough energy from anaerobic glycolysis, and the increased concentration of lactic acid brings about a reduction of pH in muscle tissue and blood, which will do harm to certain organs and produce fatigue [9].
Online since: February 2011
Authors: Zhan Feng Liu, Ya Zhou Feng
The honing head uses spring instead of the inflation core mechanism connection of oilstone bed for the constant pressure honing.[3] Honing Head for the Internal Surface of Blind Hole. 1.Basal body;2.Pivot bush unit;3.Sliding nut;4.Inflation pulp core;5.Oilstone bed;6.Oilstone Fig. 3 Structure of the inner bore honing head In Fig. 3 the inner bore honing head has four oilstone grooves and eight empty grooves for weight reduction.
Data Processing and Results Discussion.
Using the common oilstone honing processing for the workpiece, the data is showed in Table 1;Using the different oilstones honing processing in common honing dosage, the data is presented in Table 2.
Online since: May 2011
Authors: Ali Hui
Stage 7 develops to stage 8 very quickly during the test, and because of the limited capacity of test power, the actual flashover test data can be obtained only from stage 1 to stage 7.
Table1 Process of insulator XP-70 flashover test Fig. 6 Flashover state recognition result using fractal HMM Discharge stage Discharge characteristics 1 No significant Discharge 2 Violet Mars, purple small discharge, silenced 3 Brush discharge purple, yellow, white small Mars 4 Orange short arc, pulse-intensive, continuous discharge, loud 5 Pulse frequency reduction, 1 / 3 of leakage distance 6 Pulse interval lengthened, bright orange-red main arc, many small arcs in groove 7 Strong discharge, almost through leakage distance, able to suffer 8 Red arc, flashover may occur at any time From Fig. 6 we can see: with fully humidified pollution layer during the flashover development, the spark discharges into a small arc, flashover comes into stage 4.
Thus the corresponding recognition from stage 4 to stage 3, as shown in the data segments9-10,12-13,18-19,21-22,24-25.
Similarly, in later flashover development, for various reasons the orange-red main arc (stage 6) is also possible changing into one third of the discharge distance (stage 5), corresponding changes as data segments42-43,46-47,50-51,54-55.
Online since: March 2014
Authors: Maksim Antonov, Ewald Badisch, Jelena Priss, Ivan Klevtsov, Harald Rojacz, Andrei Dedov
Materials and methods Materials data and characterisation.
Results and discussion Hot hardness data.
Fig. 2. a) Summary of hot hardness data; b) HT-CIAT volumetric wear at elevated temperature.
Low hot hardness of material C allows a strong interaction of abrasive SiO2 particles with the ductile surface zone within the impact region, resulting in a pronounced formation of a mechanically mixed layer which enables the protection of the material and reduction of the wear rate.
Online since: July 2013
Authors: Kun Li, Han He
If we can recycle and reutilize them effectively, we can not only add tem up to obtain energies we need, but also save energies and follow the principle of sustainable scientific development so as to reach the purpose of energy conservation and emission reduction [1].
The data is measured through experiments: Table 1.1 Output power of thermoelectric generation property test experiment Temperature/°C Resistance/Ω 20 30 40 50 60 70 2 0.0483 0.0920 0.1740 0.2357 0.4210 0.5832 3 0.0512 0.1073 0.2034 0.2914 0.4938 0.6530 4 0.0432 0.1039 0.2032 0.2756 0.4418 0.6534 5 0.0381 0.6214 0.1819 0.2432 0.4109 0.6232 It can be concluded from the above experimental data that the output power increases with the increase in the temperature difference.
The test data of thermoelectric generation performance are obtained through comparative tests so that methods to improve this device from the aspect of materials and generating mechanism are put forward so as to reach better generating performance and the maximum generated output.
Online since: September 2013
Authors: Zuo Sheng Lei, Xiao Hua Yang, Ru Jun Wei, Qi Gao
Although a reduction of the center segregation was achieved using this type of stirring, the methods are not considered effective enough to meet the quality requirements for high-grade steels.
It is found that when the time interval of periodic reversed magnetic field the maximum velocity change rate along time in the liquid metal could be obtained. 2.2 Numerical simulation of intermittently reversing direction EMS A 2D flow field mathematical model was developed as ref [6], in which the slip ratio was took into account, The electromagnetic force under the cylindrical coordinate system is shown as below[6], the periodically direction reverse of EM force was realized by change the sign of : (1) Fig. 3 Comparison of measured and numerical velocity Fig. 4 The processing result of experimental and simulation Fluctuation at P for f=4Hz and ti=30s data The simulation results are shown in Fig.3 as well as the experimental results.
Because of the violently fluctuation of the metal flow field due to the turbulence flow, a smooth treatment is conducted to the experiment data with adjective average methods.
And the numerical simulation result is in a good agreement with the experiment data. 2.3 Evaluation of the intensity of the periodic reversed EMS A new parameter defined as …(2) in order to took both the flow velocity and velocity changing rate with time into account when measuring the stirring intensity.
Online since: February 2012
Authors: Shi Tao Yan, Li Ping Niu
Using two dimensional wavelet transforms, an image can be decomposed as Eq.1, (1) The two-dimensional wavelet transform is performed by applying one-dimensional wavelet transform to the rows and columns of two-dimensional data.
To compute the likelihood, the authors proposed to use PCA to do dimension reduction and model the distribution as a multivariate Gaussian: (5) (6) is the average of the eigenvalues of the complement space: The authors also pointed out that since the intrapersonal eigenspace corresponds to a more tightly constrained subspace, we can only use as a simplified similarity measure.
Fig.2 presents our results for the FERET data sets.
Our arithmetic is named as wave_Bayesian_ML, from the figure, we see evidence that the our algorithms performs better than all the other algorithms on the data sets, the results show that the ML classifier outperforms the more complex Bayesian MAP classifier.
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