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Online since: October 2015
Authors: Zdenek Caha, Martin Sip, Terezie Vondrackova
The correction data are updated at a reference station in the interval of seconds to tens of seconds.
The accuracy of the correction data obtained from a reference station decreases with the growing distance.
The vehicle position data are obtained by GPS and transferred by GSM mobile technology to a server.
The data are then processed in the server as necessary.
The data of all three economic years were processed into a graph (see Fig. 3).
The accuracy of the correction data obtained from a reference station decreases with the growing distance.
The vehicle position data are obtained by GPS and transferred by GSM mobile technology to a server.
The data are then processed in the server as necessary.
The data of all three economic years were processed into a graph (see Fig. 3).
Online since: November 2016
Authors: Mangaka Matoetoe, Fredrick Okumu, Malefetsane Khesuoe
The large particle size is due to the fast reduction of Ag + by the Citrate.
Fast reduction is dominated by particle growth due to combination of the neighbouring particles.
All reported data is on chemically synthesized polymer composites.
On the cathodic side, the peaks are associated with the reduction transformations from PG to LE.
EDS-TEM data and the Smoother appearance of the Ag NPs tubes further showed that Ag NPs is incorporated in the PANI films.
Fast reduction is dominated by particle growth due to combination of the neighbouring particles.
All reported data is on chemically synthesized polymer composites.
On the cathodic side, the peaks are associated with the reduction transformations from PG to LE.
EDS-TEM data and the Smoother appearance of the Ag NPs tubes further showed that Ag NPs is incorporated in the PANI films.
Online since: April 2021
Authors: V.S. Kuzevanov, Galina S. Zakozhurnikova, S.S. Zakozhurnikov
Introduction
The basis for the industrial production of silicon carbide (SiC) is the carbo-thermic reduction of silicon dioxide.
This paper presents the results of calculation of the main parameters of the stationary process for the production of finely dispersed SiC according to the model for synthesizing silicon carbide in an EFB reactor and comparing experimental and calculated data.
The velocity of the beginning of fluidization and umf were determined according to the data of [9] and [10].
This confirms the possibility of transferring data on relative productivity from laboratory versions of the EFB reactor to industrial ones.
[12] Li, X., Zhang, G., Tronstad, R. & Ostrovski, O, Reduction of quartz to silicon monoxide by methane-hydrogen mixtures.
This paper presents the results of calculation of the main parameters of the stationary process for the production of finely dispersed SiC according to the model for synthesizing silicon carbide in an EFB reactor and comparing experimental and calculated data.
The velocity of the beginning of fluidization and umf were determined according to the data of [9] and [10].
This confirms the possibility of transferring data on relative productivity from laboratory versions of the EFB reactor to industrial ones.
[12] Li, X., Zhang, G., Tronstad, R. & Ostrovski, O, Reduction of quartz to silicon monoxide by methane-hydrogen mixtures.
Online since: October 2013
Authors: Maria Luisa Polignano, Isabella Mica, Elena Cazzini, Monica Ceresoli, Davide Codegoni, Felice Russo, Giuseppe Moccia, Giancarlo Nardone, Roberto Alfonsetti, Giampaolo Polsinelli, Antonio Domenico D'Angelo, Antonio Patacchiola, Massimo Liverani, Pio Pianezza, Tiberio Lippa, Michele Carlini
Reliable data of concentration vs. depth are obtained starting from about 0.2—0.3 µm from the surface down to about 2 µm.
Fig. 3 compares the Arrhenius plots of ep/T2 (where ep is the hole emission rate and T is the absolute temperature) obtained from carbon-implanted and not implanted samples with literature data [6].
Fig. 8 compares the Arrhenius plots of ep/T2 obtained from tungsten-contaminated wafers with literature data [7].
Vice versa no reduction at all of the tungsten concentration was obtained by carbon implantation in 10 ppb contaminated samples.
Our data suggest that this property is common to other impurities.
Fig. 3 compares the Arrhenius plots of ep/T2 (where ep is the hole emission rate and T is the absolute temperature) obtained from carbon-implanted and not implanted samples with literature data [6].
Fig. 8 compares the Arrhenius plots of ep/T2 obtained from tungsten-contaminated wafers with literature data [7].
Vice versa no reduction at all of the tungsten concentration was obtained by carbon implantation in 10 ppb contaminated samples.
Our data suggest that this property is common to other impurities.
Online since: January 2018
Authors: Zbyněk Keršner, Hana Šimonová, Pavel Rovnaník, Libor Topolář, Pavel Schmid
GTDiPS software [4] was used to correct the diagrams (elimination of data point duplication and reduction of the number of such points).
The data from F–CMOD diagrams were used as input data for the Double-K fracture model [5] which was used to determine the mechanical fracture parameters of the tested materials.
Elimination of the noise is ensured by setting the threshold level (400 mV), or by filtering during a post-analysis of the data.
Increasing amount of graphite filler caused a reduction of AE events detected until peak load.
Sung-Ho, Effect of supplementary cementitious materials on reduction of CO2 emissions from concrete.
The data from F–CMOD diagrams were used as input data for the Double-K fracture model [5] which was used to determine the mechanical fracture parameters of the tested materials.
Elimination of the noise is ensured by setting the threshold level (400 mV), or by filtering during a post-analysis of the data.
Increasing amount of graphite filler caused a reduction of AE events detected until peak load.
Sung-Ho, Effect of supplementary cementitious materials on reduction of CO2 emissions from concrete.
The Effects of Silver Nanoparticles on the Antimicrobial and Biodegradation of Cornstarch Bioplastic
Online since: February 2024
Authors: Mochamad Chalid, Dedi Priadi, Rina Ningtyas, Shanaz Nadya, Muryeti Muryeti
AgNP was used from the synthesis of silver nitrate (AgNO3) and trisodium citrate dihydrate (C6H5Na3O7.2H2O) as a reducing agent and stabilizer by chemical reduction method, which was then analyzed by FTIR.
The AgNP solution is done by chemical reduction method.
Before testing, the sample used was the result of a reduction of the synthesized 1% AgNP solution which changed into a solid (powder).
Infrared absorption band of AgNP 1% From the results of the Figure 1, it was found that the functional groups belonging to AgNP 1% were compared to previous studies which had the same method of AgNP synthesis, namely chemical reduction, and the reducing agent and stabilizer used were also the same, namely trisodium citrate dihydrate (C6H5Na3O7.2H2O).
The calculation of % W (percent weight loss), estimated time of degradation, and degradability was performed from data on the weight of the empty cup, and the weight of the cup with bioplastic before and after burial for 32 days.
The AgNP solution is done by chemical reduction method.
Before testing, the sample used was the result of a reduction of the synthesized 1% AgNP solution which changed into a solid (powder).
Infrared absorption band of AgNP 1% From the results of the Figure 1, it was found that the functional groups belonging to AgNP 1% were compared to previous studies which had the same method of AgNP synthesis, namely chemical reduction, and the reducing agent and stabilizer used were also the same, namely trisodium citrate dihydrate (C6H5Na3O7.2H2O).
The calculation of % W (percent weight loss), estimated time of degradation, and degradability was performed from data on the weight of the empty cup, and the weight of the cup with bioplastic before and after burial for 32 days.
Online since: March 2007
Authors: Dong Fang Yang
Although the material exhibits better chemical and structural compatibility
with electrodes as well as higher ionic conductivity than Yttria-stabilized Zirconia, the reduction of
Ce
4+ to Ce
3+ induces n-type electronic conduction which tends to decrease power output of solid
oxide fuel cells.
The film density was calculated from the index of reflection data determined by a fiber-optic spectrophotometer.
Although the material exhibits better chemical and structural compatibility with electrodes as well as higher ionic conductivity than YSZ, the reduction of Ce 4+ to Ce 3+ induces n-type electronic conduction which tends to decrease power output of solid oxide fuel cells.
The optical data show that the density of SDC films increases with the increase in deposition temperature, but ScSZ films decrease with the increase of deposition temperatures.
[11] Powder Diffraction File-2 database, Joint Committee on Powder Diffraction Standards, International Centre for Diffraction Data, USA, 1996
The film density was calculated from the index of reflection data determined by a fiber-optic spectrophotometer.
Although the material exhibits better chemical and structural compatibility with electrodes as well as higher ionic conductivity than YSZ, the reduction of Ce 4+ to Ce 3+ induces n-type electronic conduction which tends to decrease power output of solid oxide fuel cells.
The optical data show that the density of SDC films increases with the increase in deposition temperature, but ScSZ films decrease with the increase of deposition temperatures.
[11] Powder Diffraction File-2 database, Joint Committee on Powder Diffraction Standards, International Centre for Diffraction Data, USA, 1996
Online since: September 2016
Authors: Vladimir Erofeev, Aleksandr A. Bobryshev, Aleksandr Lakhno, Ilnaz Khalilov, Kamil Sibgatullin, Rafael Igtisamov, Lenar N. Shafigullin
The topological mortar structure has been provided by theoretical evaluation of the rheological state of the cross-linked solutions and the experimental viscosity data of the sand cement mortar which has been modified by water-soluble additive – polyoxyethylene.
It is shown that in pseudoplastic systems, as the shear stress increases, the viscous phase grows because of the reduction of rigid phase content.
The logarithmic form of this equation: , (3) is a linear function which makes it easier to find the numerical values of and coefficients using the experimental data.
Thus, in pseudoplastic systems, as the shear stress increases, the viscous phase grows because of the reduction of rigid phase content.
Represent the Ostwald-de Waele equation (Eq. 2) in the linear form, as a result of logarithmation we find: . (13) Taking into account the test data (Tab. 1) the regression equation takes the form . (14) The linear correlation coefficient is =0.92.
It is shown that in pseudoplastic systems, as the shear stress increases, the viscous phase grows because of the reduction of rigid phase content.
The logarithmic form of this equation: , (3) is a linear function which makes it easier to find the numerical values of and coefficients using the experimental data.
Thus, in pseudoplastic systems, as the shear stress increases, the viscous phase grows because of the reduction of rigid phase content.
Represent the Ostwald-de Waele equation (Eq. 2) in the linear form, as a result of logarithmation we find: . (13) Taking into account the test data (Tab. 1) the regression equation takes the form . (14) The linear correlation coefficient is =0.92.
Online since: December 2012
Authors: Xi Wang, Fang Wei, Chuan Cheng
During this period most researches are based on object-oriented programs, such as data slice, condition slice ,constraint slice and UML modeling slice etc.
One is data dependence, while the other is control dependence.
Data dependence captures the notion that one transition defines a value to a variable and the other transition may potentially use this value.
Path(P)={pi | pi is the path between transition fi and fj}.the data denpendence between transition fi and fj is defined as follows: Definition 4.
Then through the data analysis to get the transitions which has data dependence with the variable v in transition f.
One is data dependence, while the other is control dependence.
Data dependence captures the notion that one transition defines a value to a variable and the other transition may potentially use this value.
Path(P)={pi | pi is the path between transition fi and fj}.the data denpendence between transition fi and fj is defined as follows: Definition 4.
Then through the data analysis to get the transitions which has data dependence with the variable v in transition f.
Online since: February 2016
Authors: Wei Qiang Gao, Jian Qun Liu, Hui Jing Huang
The Using Step of the System
Figure 2 shows the step of processing data in the developed virtual system.
The user can input the workpiece and machining parameters, or edit the NC code, or input the data into the system by loading an NC file.
After inputting the data, the system analyzes and processes the data to generate a special type of data which is used to 3D virtual simulation.
Fig. 2: The steps of data processing NC Code Generation The module of generating NC code is shown in figure 3.
The STL file is a kind of data model that use many triangle slices to approximate the surface of 3D object [6].
The user can input the workpiece and machining parameters, or edit the NC code, or input the data into the system by loading an NC file.
After inputting the data, the system analyzes and processes the data to generate a special type of data which is used to 3D virtual simulation.
Fig. 2: The steps of data processing NC Code Generation The module of generating NC code is shown in figure 3.
The STL file is a kind of data model that use many triangle slices to approximate the surface of 3D object [6].