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Online since: January 2015
Authors: Mikhail Petrichenko, Nikolay Vatin, Darya Nemova, Vyacheslav Olshevskiy
Q=vh (1)
The calculated data are puts in table 1.
Using a formula (2): (2) Where, =268, =270, It is possible to receive values of number of Froude for each L/h values, calculation data are puts in table 2.
Calculation data L/h 186 233 280 350 F 0.031 0.029 0.027 0.024 Figure 4.
Processing of experimental results When carrying out natural experiment for data acquisition buildings 28 meters high, with various gaps of an air layer were considered (0.08 m, 0.10 m, 0.12 m, 0.15 m).
For descriptive reasons processings of experimental data, having used a formula (3) it is possible to receive theoretical values of parameters of an air flow in the ventilated air gap, for the buildings having height other than the experimental.
Using a formula (2): (2) Where, =268, =270, It is possible to receive values of number of Froude for each L/h values, calculation data are puts in table 2.
Calculation data L/h 186 233 280 350 F 0.031 0.029 0.027 0.024 Figure 4.
Processing of experimental results When carrying out natural experiment for data acquisition buildings 28 meters high, with various gaps of an air layer were considered (0.08 m, 0.10 m, 0.12 m, 0.15 m).
For descriptive reasons processings of experimental data, having used a formula (3) it is possible to receive theoretical values of parameters of an air flow in the ventilated air gap, for the buildings having height other than the experimental.
Online since: September 2013
Authors: Peng Xiao, Shu Hai Quan, Chang Jun Xie
Real-time data was acquired through data acquisition card.
From Eq. 1 we can get: = (+++) (2) Relation between traction motor torque and is as follows: == (3) where r is automobile driving wheel radius; ig is transmission speed ratio; mainly the reduction ratio; io is drive ratio;ηis transmission efficiency.
The IPC calculated tested motor and variable frequency motor’s power, speed, torque and other data according to the presetting conditions data. 2 Integrated test bench test The main parameters of the test: r= 0.343m; CD= 0.32; A= 2.1m2; m= 1195kg; g= 9.8 m/s2; f =0.012;i=io*ig=4;η=0.9.
From Eq. 1 we can get: = (+++) (2) Relation between traction motor torque and is as follows: == (3) where r is automobile driving wheel radius; ig is transmission speed ratio; mainly the reduction ratio; io is drive ratio;ηis transmission efficiency.
The IPC calculated tested motor and variable frequency motor’s power, speed, torque and other data according to the presetting conditions data. 2 Integrated test bench test The main parameters of the test: r= 0.343m; CD= 0.32; A= 2.1m2; m= 1195kg; g= 9.8 m/s2; f =0.012;i=io*ig=4;η=0.9.
Online since: October 2013
Authors: Daniel Macdonald, An Yao Liu, Sieu Pheng Phang
The approach was later extended to microwave photoconductance decay (µW-PCD) lifetime measurements, and then to quasi-steady-state photoconductance (QSSPC) data [15].
The red line shows a simple diffusion model fitted to the data, yielding a diffusion length of Fe during the precipitation process of 510 microns, and a precipitation velocity of 4.5×10-5 cm/s.
Figure 4 shows a linescan of the measured dissolved Fe concentration near a grain boundary in a mc-Si wafer [23] after annealing at low temperature (530 °C for one and a half hours, and then 600 °C for two and a half hours), and the simple model fitted to the data.
The narrow hump in the Fe concentration data very close to the grain boundary is evidently an experimental artefact caused by either diffusion of carriers or scattering of emitted photons in the sample close to the grain boundary, or a combination of both [22].
The model describes the remainder of the data well, and in this case yields a diffusion length for Fe during the precipitation process of 510 µm, which is close to the expected value of 470 µm based on the diffusivity of Fe during the anneal step [23].
The red line shows a simple diffusion model fitted to the data, yielding a diffusion length of Fe during the precipitation process of 510 microns, and a precipitation velocity of 4.5×10-5 cm/s.
Figure 4 shows a linescan of the measured dissolved Fe concentration near a grain boundary in a mc-Si wafer [23] after annealing at low temperature (530 °C for one and a half hours, and then 600 °C for two and a half hours), and the simple model fitted to the data.
The narrow hump in the Fe concentration data very close to the grain boundary is evidently an experimental artefact caused by either diffusion of carriers or scattering of emitted photons in the sample close to the grain boundary, or a combination of both [22].
The model describes the remainder of the data well, and in this case yields a diffusion length for Fe during the precipitation process of 510 µm, which is close to the expected value of 470 µm based on the diffusivity of Fe during the anneal step [23].
Online since: December 2010
Authors: Huan Xin Yuan, Yuan Qing Wang, Yong Jiu Shi, Ming Cheng
The experimental program concerned both rectangular hollow sections and square hollow sections (Fig. 1 (a)), and provided a significant amount of test data to analyze the influence of the width-to-thickness ratio on the local buckling resistance of members.
The deviation of data points to the diagonal datum line means the discrepancy between numerical simulation and experiment.
However, almost all data points are close to the diagonal line, indicating that gratifying simulation of experiments has been achieved.
The elasticity solutions are denoted by a continuous curve while the FEA results are presented in data points in Fig. 9.
With data points locating above the datum lines, rational results are obtained by the proposed method.
The deviation of data points to the diagonal datum line means the discrepancy between numerical simulation and experiment.
However, almost all data points are close to the diagonal line, indicating that gratifying simulation of experiments has been achieved.
The elasticity solutions are denoted by a continuous curve while the FEA results are presented in data points in Fig. 9.
With data points locating above the datum lines, rational results are obtained by the proposed method.
Online since: December 2013
Authors: Ya Ping Zhao, Jun Bo Wang, Li Wang
Kinetic data demonstrated that the rate of degradation could be expressed as first order.
Electrochemical degradation is a process which converts pollutants into nontoxic compounds through electrochemical oxidation or reduction without consumption of large amount of chemicals [4].
According to equation (3) (3) The experimental data depicted in this figure gave essentially straight lines.
Electrochemical degradation is a process which converts pollutants into nontoxic compounds through electrochemical oxidation or reduction without consumption of large amount of chemicals [4].
According to equation (3) (3) The experimental data depicted in this figure gave essentially straight lines.
Online since: October 2013
Authors: Qing Hua Zhao, Xin Ping Wu, Dong Zhao Chen
The results show that the exhaust of CO/HC of the vehicles using ethanol gasoline are significantly reduced, the test results provide some scientific data for promoting the application of ethanol gasoline in vehicle.
We can detect the emissions again after the tested vehicles traveling 500km.Test methods based on the national standard “limits and measurement methods for exhaust pollutants from vehicles equipped ignition engine under two-speed idle conditions and driving mode conditions (GB18285-2005)”, measure three times in the idle condition, and average the data.
In addition, because of the combustion speed of ethanol is faster than gasoline, which makes wall quenching layer thinner, reduces the number of the no burning hydrocarbon, and also makes the reduction emission of HC.
We can detect the emissions again after the tested vehicles traveling 500km.Test methods based on the national standard “limits and measurement methods for exhaust pollutants from vehicles equipped ignition engine under two-speed idle conditions and driving mode conditions (GB18285-2005)”, measure three times in the idle condition, and average the data.
In addition, because of the combustion speed of ethanol is faster than gasoline, which makes wall quenching layer thinner, reduces the number of the no burning hydrocarbon, and also makes the reduction emission of HC.
Online since: May 2011
Authors: Ji Dong Li, Ming Jie Zhang, Yi Yong Wang, Xin Gang Ai
But the electrochemistry research report for Li2CO3 in lithium reduction is little [7, 8].
When over voltage enter into the Tafel zone with current density in range of 0.1 to 0.3A·cm-2, the Tafel equation obtained by the least square fit of data is shown as Eq. 2
When over voltage enter into the Tafel zone with current density in range of 0.1 to 0.4A·cm-2, the Eq. 4 obtained by the least square fit of data is shown as follow
When α=0.56, So The result deduced is close to the slope value of linear equation 4 by fitting experiment data.
In the same way, when or step is the rate-determining, the slope of Tafel formula deduced is very small, which is different from the data calculated by experiment.
When over voltage enter into the Tafel zone with current density in range of 0.1 to 0.3A·cm-2, the Tafel equation obtained by the least square fit of data is shown as Eq. 2
When over voltage enter into the Tafel zone with current density in range of 0.1 to 0.4A·cm-2, the Eq. 4 obtained by the least square fit of data is shown as follow
When α=0.56, So The result deduced is close to the slope value of linear equation 4 by fitting experiment data.
In the same way, when or step is the rate-determining, the slope of Tafel formula deduced is very small, which is different from the data calculated by experiment.
Online since: January 2014
Authors: Hong Ying Chen, Wen Tian Luo
Takeoff flight path definition and calculation formula
An airplane’s climb gradient, as we would compute it from the basic data including the drag polar and the thrust data, is called the gross gradient, and the flight path so computed is called the gross takeoff flight path.
(b) The net takeoff flight path data must be determined so that they represent the actual takeoff flight paths (determined in accordance with FAR25.111 and with paragraph (a) of this section) reduced at each point by a gradient of climb equal to— (1) 0.8 percent for two-engine airplanes; (2) 0.9 percent for three-engine airplanes; and (3) 1.0 percent for four-engine airplanes.
(c) The prescribed reduction in climb gradient may be applied as an equivalent reduction in acceleration along the takeoff flight path at which the airplane is accelerated in level flight [4].
(f) For the purposes of this section, it is assumed that the airplane is not banked before reaching a height of 50 feet, as shown by the takeoff path or net takeoff flight path data (as appropriate) in the Airplane Flight Manual, and thereafter that the maximum bank is not more than 15 degrees.
(b) The net takeoff flight path data must be determined so that they represent the actual takeoff flight paths (determined in accordance with FAR25.111 and with paragraph (a) of this section) reduced at each point by a gradient of climb equal to— (1) 0.8 percent for two-engine airplanes; (2) 0.9 percent for three-engine airplanes; and (3) 1.0 percent for four-engine airplanes.
(c) The prescribed reduction in climb gradient may be applied as an equivalent reduction in acceleration along the takeoff flight path at which the airplane is accelerated in level flight [4].
(f) For the purposes of this section, it is assumed that the airplane is not banked before reaching a height of 50 feet, as shown by the takeoff path or net takeoff flight path data (as appropriate) in the Airplane Flight Manual, and thereafter that the maximum bank is not more than 15 degrees.
Online since: April 2014
Authors: Hong Liu, Xiao Peng Song, Guo Jun Zhang, Meng Ran Liu, Ze Ming Jian
When the sound spreads of the soil, it will produce reduction.
The main factor of reduction is energy absorption result from the soil elastic viscous.
Knocking the surface by steel hammer so that engender pulse and gathering information by NI data acquisition card, estimating the angles of sensor located and factual in real time. 3.2 Result: As shown in figure 2(b), with the change of temperature, the sensitivity of the sensor changes small.
(a)Spring (b)Summer (c)Autumn (d)Winter Fig.3 Measuring angle and actual angle curve in different month In order to show the data clearly, draw the average of each measuring angle for four seasons, as shown in Table 1.
With analyzing and processing data of four different seasons signals, then drawing the angle table.
The main factor of reduction is energy absorption result from the soil elastic viscous.
Knocking the surface by steel hammer so that engender pulse and gathering information by NI data acquisition card, estimating the angles of sensor located and factual in real time. 3.2 Result: As shown in figure 2(b), with the change of temperature, the sensitivity of the sensor changes small.
(a)Spring (b)Summer (c)Autumn (d)Winter Fig.3 Measuring angle and actual angle curve in different month In order to show the data clearly, draw the average of each measuring angle for four seasons, as shown in Table 1.
With analyzing and processing data of four different seasons signals, then drawing the angle table.
Online since: February 2016
Authors: Igor Skirnevskiy, Aleksandr Korovin
.);
2 video surveillance systems;
3 data management systems (image data bases indexation);
4 interactivity systems;
5 life reconstruction video systems;
6 image processing systems (medical data processing, tomographic segmentation, video parsing)
This work represents the approach to the development of optimal methods of segmentation of tomographic volume searching system.
The main points of tomographic data processing are object selection, absolute position definition and shape processing.
The main aim of image-denoising algorithm is to achieve both noise reduction and feature preservation.
It is often necessary to estimate the type of noise (and the main parameters of its probability density function) before making a solution of noise reduction.
The main points of tomographic data processing are object selection, absolute position definition and shape processing.
The main aim of image-denoising algorithm is to achieve both noise reduction and feature preservation.
It is often necessary to estimate the type of noise (and the main parameters of its probability density function) before making a solution of noise reduction.