Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: June 2011
Authors: Chih Chung Chang, Jia He Lin, Wei Jie Lin, Siang Jyun Jheng, Chien Wei Liu, Ching Sung Wang, Teng Wei Wang
It not only achieves carbon reduction, but also promotes community well-being.
The carbon reduction is the one of important global issues right now.
The output signals are averaged in terms of 140 data.
This research eliminates the complex action of pulling plug off that results carbon reduction by decreasing standby electric usage, and it is also benefit for handicapped or senior people to control the power supply switches more easily.
[8] Suen Guang Tian, Li Guo Sheng, “A study of using data mining techniques to explore relationship of long-latency auditory evoked potentials P300 and IQ,” .
The carbon reduction is the one of important global issues right now.
The output signals are averaged in terms of 140 data.
This research eliminates the complex action of pulling plug off that results carbon reduction by decreasing standby electric usage, and it is also benefit for handicapped or senior people to control the power supply switches more easily.
[8] Suen Guang Tian, Li Guo Sheng, “A study of using data mining techniques to explore relationship of long-latency auditory evoked potentials P300 and IQ,” .
Online since: February 2013
Authors: Hai Ying Zhang, Guo Xian Ma
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
It was done to provide data for thermal characterization of fly ash.
Content of glass phases reaches around 57%, which is conducive to reduction of energy in recycling of the ash.
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
It was done to provide data for thermal characterization of fly ash.
Content of glass phases reaches around 57%, which is conducive to reduction of energy in recycling of the ash.
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
Online since: July 2013
Authors: Haakon Karlsen, Tao Dong
The analytical results are compared with the simulation data obtained from Finite Element Analysis, which employs compressible Navier-Stokes equations and heat equation.
The relative pressure and density as a function of initial temperature is displayed in Fig. 4 and shows how the maximum range decreases with increasing initial temperature (Included are also the relative pressure and density points from two additional minor simulations at different initial temperatures): Inlet density reduction arises from decompression due to the centrifugal force as explained in Equations and Boundaries section, and is dependent on the initial temperature and frequency through the a-parameter introduced in Eq. 5.
A reduced initial temperature and increased rotation frequency both indicate an increased centrifugal force, resulting in the reduction of initial density in Eq. 11.
Figure 5 a) Initial density reduction as function of initial temperature (with constant frequency of 3600 rad/s), b) Initial density reduction as function of frequency (with constant initial temperature of 293.15 K).
The initial state is affected by the rotation and the results from the investigation describe the relative reduction as function of the main operational parameters; initial temperature and rotational frequency.
The relative pressure and density as a function of initial temperature is displayed in Fig. 4 and shows how the maximum range decreases with increasing initial temperature (Included are also the relative pressure and density points from two additional minor simulations at different initial temperatures): Inlet density reduction arises from decompression due to the centrifugal force as explained in Equations and Boundaries section, and is dependent on the initial temperature and frequency through the a-parameter introduced in Eq. 5.
A reduced initial temperature and increased rotation frequency both indicate an increased centrifugal force, resulting in the reduction of initial density in Eq. 11.
Figure 5 a) Initial density reduction as function of initial temperature (with constant frequency of 3600 rad/s), b) Initial density reduction as function of frequency (with constant initial temperature of 293.15 K).
The initial state is affected by the rotation and the results from the investigation describe the relative reduction as function of the main operational parameters; initial temperature and rotational frequency.
Online since: February 2012
Authors: Hu Hu, Xin Tian, Li Hong Han, Bin Chen
Data transmission: upon the data acquisition and storage, the quantity of data is small, so they can be transmitted into the client unit by directly using the form of command transmission.
Among the energy saving and consumption reduction measures, electric energy saving is the most convenient with the lowest cost.
b) Wrote and debugged the data acquisition and data transmission software.
It is found in the practical use and testing that the system can timely, accurately and perfectly collect data, operate reliably and remain open and flexible in the aspect of data acquisition and transmission as well as data process and storage.
The electricity-use monitoring data platform established with this system can obtain the energy consumption state of the monitoring equipment in real time, master the data resources in the use of electricity and provide rich data materials for energy inspection and adequate data supports for energy saving and consumption reduction.
Among the energy saving and consumption reduction measures, electric energy saving is the most convenient with the lowest cost.
b) Wrote and debugged the data acquisition and data transmission software.
It is found in the practical use and testing that the system can timely, accurately and perfectly collect data, operate reliably and remain open and flexible in the aspect of data acquisition and transmission as well as data process and storage.
The electricity-use monitoring data platform established with this system can obtain the energy consumption state of the monitoring equipment in real time, master the data resources in the use of electricity and provide rich data materials for energy inspection and adequate data supports for energy saving and consumption reduction.
Online since: February 2015
Authors: Xing Wu Cao
Then it is verified by real operational data of the capital airport under bad weather.
It proved that the model could be used to arrange for flights to alternate reasonably when a large hub airport encountered a severe airside capacity reduction.
A Case Study In this section the actual flights operation data of Capital Airport are used to simulate the above programming model.
Bad weather is the main reason of airport capacity reduction.
The following Table 1 lists the alternating statistical data of 20 alternative flights selected between 23:00 and 24:00 on November 27, which flew to the capital airport from all over the country.
It proved that the model could be used to arrange for flights to alternate reasonably when a large hub airport encountered a severe airside capacity reduction.
A Case Study In this section the actual flights operation data of Capital Airport are used to simulate the above programming model.
Bad weather is the main reason of airport capacity reduction.
The following Table 1 lists the alternating statistical data of 20 alternative flights selected between 23:00 and 24:00 on November 27, which flew to the capital airport from all over the country.
Online since: January 2019
Authors: Mauricio Pacio, J.R. Mora, G. Flores-Carrasco, T.G. Díaz-Rodríguez, Héctor Juárez
XRD results of the as-grown products from ZnS powder show a significant reduction in the cubic zincblende phase to the hexagonal wurtzite phase with the increase of treatment temperature, as compared to the bulk value.
Additional, the obtained data were refined by the Rietveld method using the FULLPROF suite.The microstructure of the samples was examined using a scanning electron microscope (SEM) equipped with an energy dispersive X-ray detector (EDX) (Hitachi S-5500).
Rietveld refinement of XRD data on the ZnS sample after annealing at 1000 °C.
Lee, Thermal reduction route to the fabrication of coaxial Zn/ZnO nanocables and ZnO nanotubes, Chem.
Ratna, Size-induced transition-temperature reduction in nanoparticles of ZnS, Phys.
Additional, the obtained data were refined by the Rietveld method using the FULLPROF suite.The microstructure of the samples was examined using a scanning electron microscope (SEM) equipped with an energy dispersive X-ray detector (EDX) (Hitachi S-5500).
Rietveld refinement of XRD data on the ZnS sample after annealing at 1000 °C.
Lee, Thermal reduction route to the fabrication of coaxial Zn/ZnO nanocables and ZnO nanotubes, Chem.
Ratna, Size-induced transition-temperature reduction in nanoparticles of ZnS, Phys.
Online since: September 2014
Authors: Jin Lan Bai, Hai Zhou
With the procedure total rolling force and the distribution of rolling force per width of each pass for HC mill are calculated using sampling data obtained from actual strip rolling.
Comparing the calculation results with actual measured value, it is shown that the calculated total rolling forces are similar to actual data, and the distribution of rolling force per width is consistent with the actual status.
(1) Where, , , where is rolling force, ,are rolling force of plastic and elastic area, ,are enter and exit thickness of strip, is strip width, is influence coefficient of rolling force, is average deformation resistance, is roll flattening radius, is the Poisson ratio of strip, is Young modulus, is friction coefficient, is reduction, , are entry and delivery unit tension, and , are tension influence coefficients.
This is because the reduction at strip edge is larger due to roll bending.
Calculation results shows that calculated total rolling force is close to actual measured data, and the distribution of rolling force per width is consistent with the actual one.
Comparing the calculation results with actual measured value, it is shown that the calculated total rolling forces are similar to actual data, and the distribution of rolling force per width is consistent with the actual status.
(1) Where, , , where is rolling force, ,are rolling force of plastic and elastic area, ,are enter and exit thickness of strip, is strip width, is influence coefficient of rolling force, is average deformation resistance, is roll flattening radius, is the Poisson ratio of strip, is Young modulus, is friction coefficient, is reduction, , are entry and delivery unit tension, and , are tension influence coefficients.
This is because the reduction at strip edge is larger due to roll bending.
Calculation results shows that calculated total rolling force is close to actual measured data, and the distribution of rolling force per width is consistent with the actual one.
Online since: May 2014
Authors: Shoichiro Yoshihara, Yuki Nakamura, Bryan J. Mac Donald, Emmet Galvin
A method to determine the optimum tightening torque based on experimental data was proposed by F.
The axial force reduction rate increased as the initial axial force increased.
The axial force reduction rate was increased by the crevice corrosion.
The axial force reduction rate increased as the corrosion potential increased.
The average mass loss influenced the reduction rate of the axial force.
The axial force reduction rate increased as the initial axial force increased.
The axial force reduction rate was increased by the crevice corrosion.
The axial force reduction rate increased as the corrosion potential increased.
The average mass loss influenced the reduction rate of the axial force.
Online since: October 2011
Authors: Hyo Jun Ha, Ji Hun Park, Seok Pil Jang
Finally, based on the experimental results, we present the reduction of the thermal resistances of the heat pipes compared with conventional heat pipes cannot be explained by only the thermal conductivity of water-based MWCNT nanofluids.
Experimental apparatus.As shown in Fig.3, the experimental system consists of a cooling chamber, the heat pipe, a power supply (Agilent Technologies, Inc., 34970A), a data acquisition system (Agilent Technologies, Inc., E3631A), and so on.
Compare Fig. 5 with Fig. 6, the reduction rate of thermal resistance of heat pipe with nanofluids is greater than the enhancement rate of thermal conductivity.
Those results show that only the enhancement of thermal conductivity cannot explain the reduction of thermal resistance of heat pipe using water-based MWCNT nanofluids.
Based on the experimental results, the reduction of thermal resistances of the heat pipes compared with conventional heat pipes cannot be explained by only the thermal conductivity of water-based MWCNT nanofluids.
Experimental apparatus.As shown in Fig.3, the experimental system consists of a cooling chamber, the heat pipe, a power supply (Agilent Technologies, Inc., 34970A), a data acquisition system (Agilent Technologies, Inc., E3631A), and so on.
Compare Fig. 5 with Fig. 6, the reduction rate of thermal resistance of heat pipe with nanofluids is greater than the enhancement rate of thermal conductivity.
Those results show that only the enhancement of thermal conductivity cannot explain the reduction of thermal resistance of heat pipe using water-based MWCNT nanofluids.
Based on the experimental results, the reduction of thermal resistances of the heat pipes compared with conventional heat pipes cannot be explained by only the thermal conductivity of water-based MWCNT nanofluids.
Online since: April 2024
Authors: João Batista Lamari Palma e Silva, Rosa Cristina Cecche Lintz, Luísa Andréia Gachet
The sand was of the quartz type, which underwent a moisture reduction process for 24 hours at a temperature of 105±0.5 ºC.
Voltage readings, both on the specimen (Um) and on the 1 kΩ reference resistor (Uref) were taken using two modules of the model 365F data logger (brand Hantek), connected to a laptop, which were used to calculate the electrical impedance (Z) by Eq. 1, adapted from [22,23].
The results are presented as the mean ± standard error (SE) and the data were analyzed by analysis of variance (ANOVA one-way) followed of Tukey’s Test, where a P<0.05 was considered to indicate a statistically significant difference.
Nevertheless, the reduction observed in this research was only 4.91% in the case of the TA-5-II mix.
Results of the analysis of variance between electrical impedance (Z) data Degree of freedom Sum of Squares Mean Square F* Value Prob>F Model 6 8.67046E8 1.44508E8 3.77537 0.00979 Error 22 8.42082E8 3.82765E7 *F is the ratio between Mean Squares Fig. 9.
Voltage readings, both on the specimen (Um) and on the 1 kΩ reference resistor (Uref) were taken using two modules of the model 365F data logger (brand Hantek), connected to a laptop, which were used to calculate the electrical impedance (Z) by Eq. 1, adapted from [22,23].
The results are presented as the mean ± standard error (SE) and the data were analyzed by analysis of variance (ANOVA one-way) followed of Tukey’s Test, where a P<0.05 was considered to indicate a statistically significant difference.
Nevertheless, the reduction observed in this research was only 4.91% in the case of the TA-5-II mix.
Results of the analysis of variance between electrical impedance (Z) data Degree of freedom Sum of Squares Mean Square F* Value Prob>F Model 6 8.67046E8 1.44508E8 3.77537 0.00979 Error 22 8.42082E8 3.82765E7 *F is the ratio between Mean Squares Fig. 9.