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Online since: June 2008
Authors: M.M. Figueiredo, M. Helena Gil, M.J. Moura
A significant reduction on gelation time was achieved.
This same figure shows that the gelation time decreases from 6 to 2 minutes, when the genipin concentration is increased from 0 to 0.15 %, which represents a significant reduction.
The data obtained reveal that all hydrogels G' exhibit a plateau in the range 0.01 - 10 Hz which is indicative of a stable crosslinked network.
This same figure shows that the gelation time decreases from 6 to 2 minutes, when the genipin concentration is increased from 0 to 0.15 %, which represents a significant reduction.
The data obtained reveal that all hydrogels G' exhibit a plateau in the range 0.01 - 10 Hz which is indicative of a stable crosslinked network.
Online since: August 2014
Authors: Xia Guo, Zeng Shan Li, Wen Chao Zhang, Ri Ming Tan, Zhi Dong Guan
The computational results show that flaws located at the edge of the bond region result in more pronounced load reduction than which located at the middle of bond region.
Adhesively bonded composite joints provide advantages such as weight reduction over traditional mechanical joining methods.
The finite element model is calibrated with experimental test data and adopted to analysis the effect of flaw locations on the tensile behavior of the joints.
Adhesively bonded composite joints provide advantages such as weight reduction over traditional mechanical joining methods.
The finite element model is calibrated with experimental test data and adopted to analysis the effect of flaw locations on the tensile behavior of the joints.
Online since: July 2021
Authors: Ahmed Abd El-Moneim, Ahmed Elsayed Rashed, AL-Hassan Mohammed Nasser, Marwa F. El Kady, Kamal Essam, Matsushita Yoshihisa
The pyrolyzed MOF (Fe-MIL-88B/C) was then tested for FTS at 300 psi, 300/340°C and H2/CO=1 after reduction under flow of hydrogen at 400°C for 4 hours.
However, mild metal-support interaction is preferred to allow sufficient reduction and carbonization of the iron phase [3,6].
The Fe-MIL-88B XRD pattern shows noise in background and weak intensities; however, the main diffraction peaks at 2-theta (9.16° and 10.50°) goes in line with reported data in literature for this Fe-based MOF [3,26,30–33].
Disappearance and substantial reduction of coordination peaks indicate successful pyrolysis.
However, mild metal-support interaction is preferred to allow sufficient reduction and carbonization of the iron phase [3,6].
The Fe-MIL-88B XRD pattern shows noise in background and weak intensities; however, the main diffraction peaks at 2-theta (9.16° and 10.50°) goes in line with reported data in literature for this Fe-based MOF [3,26,30–33].
Disappearance and substantial reduction of coordination peaks indicate successful pyrolysis.
Online since: January 2020
Authors: Ragab Abdelaziz El-Sehiemy, Asmaa F. Barakat, Mohamed Elsaid
The obtained results confirm that these variations on PSO algorithm can make a noticeable reduction of Ploss at acceptable level in terms of power system operation view point.
In this work, we concentrated on the main and primary objective function called reduction of power losses to enhance technically the system performance as well as preserving other technical requirements such as voltage profile and voltage deviation within the acceptable operating boundaries.
Steps of PSO method for solving ORPD problem [7]. 1- Read generation, bus and line data, minimum and maximum inertia weight, number of population size 2- Initialize randomly the control variables within their maximum and minimum boundaries in the solution space of control variables. 3- Make Y- bus and run power flow by using MATPOWER considering the initial values of the system control variable 4- Compute the sum of all penalties for line flow violations, generated active power at slack bus, violation of reactive power for all generators and bus voltage violation by using Eq. 14. 5- The performance of each particle is evaluated using the considered fitness function which is computed according to the sum of all penalties added to the primary objective function as in Eq. 15. 6- Identify personal and global bests, pbest and gbest, by comparing the fitness function for each particle which its previous fitness to obtain the pbest and by comparing all of the fitness of all swarms to
In this study, the reduction of the real power losses is considered as the primal objective function that observed under different PSO variants.
The reduction in Ploss has better result than traditional PSO as shown in Fig. 6.
In this work, we concentrated on the main and primary objective function called reduction of power losses to enhance technically the system performance as well as preserving other technical requirements such as voltage profile and voltage deviation within the acceptable operating boundaries.
Steps of PSO method for solving ORPD problem [7]. 1- Read generation, bus and line data, minimum and maximum inertia weight, number of population size 2- Initialize randomly the control variables within their maximum and minimum boundaries in the solution space of control variables. 3- Make Y- bus and run power flow by using MATPOWER considering the initial values of the system control variable 4- Compute the sum of all penalties for line flow violations, generated active power at slack bus, violation of reactive power for all generators and bus voltage violation by using Eq. 14. 5- The performance of each particle is evaluated using the considered fitness function which is computed according to the sum of all penalties added to the primary objective function as in Eq. 15. 6- Identify personal and global bests, pbest and gbest, by comparing the fitness function for each particle which its previous fitness to obtain the pbest and by comparing all of the fitness of all swarms to
In this study, the reduction of the real power losses is considered as the primal objective function that observed under different PSO variants.
The reduction in Ploss has better result than traditional PSO as shown in Fig. 6.
Online since: July 2008
Authors: John H. Perepezko, Michael De Cicco, Lih Sheng Turng, Xiao Chun Li
Employing the differential scanning calorimetry (DSC), differential thermal analysis (DTA), and
droplet emulsion techniques with nanocomposite samples showed a significant reduction in
undercooling owing to the homogeneous distribution of nanoparticles by ultrasonic mixing and the
potency of those nanoparticles to catalyze nucleation.
This research proposes overcoming this not by further processing cost reduction, but by increasing the value of the castings through nanoparticle addition and property enhancement.
Zhang and Chen have developed a nanocomposite strengthening model based on Orowan strengthening that agrees quite well with the experimental data [3].While the strengthening effects of nanoparticles has been well studied, the ability for nanoparticles to enhance nucleation and produce a globular microstructure has only recently been demonstrated [4].
Perepezko: Diffusion and Defect Data Part B (Solid State Phenomena) Vol. 116-117 (2006), p.478-83
This research proposes overcoming this not by further processing cost reduction, but by increasing the value of the castings through nanoparticle addition and property enhancement.
Zhang and Chen have developed a nanocomposite strengthening model based on Orowan strengthening that agrees quite well with the experimental data [3].While the strengthening effects of nanoparticles has been well studied, the ability for nanoparticles to enhance nucleation and produce a globular microstructure has only recently been demonstrated [4].
Perepezko: Diffusion and Defect Data Part B (Solid State Phenomena) Vol. 116-117 (2006), p.478-83
Online since: November 2013
Authors: Qiang Zhang, Lu Lu Yu, Hong Lei Jia, Xian Jun Liu, Li Zhang
The digital image of a house mouse’s claw is analyzed to obtain the geometrical parameters of the claw, and then the profile of the claw is delineated by the data.
Data gotten from octagonal ring transducer are A/D transferred, recorded and processed by data acquisition system.
The operating procedure: (1) to adjust cutting depth, (2) to start data acquisition system, and (3) to start the soil bin vehicle according to designed forward speed level.
Soil resistance data are recorded automatically.
Results and discussion The mean value of 10-point soil resistances in data record area of every test is taken as the recorded result, which are listed in Table 4.
Data gotten from octagonal ring transducer are A/D transferred, recorded and processed by data acquisition system.
The operating procedure: (1) to adjust cutting depth, (2) to start data acquisition system, and (3) to start the soil bin vehicle according to designed forward speed level.
Soil resistance data are recorded automatically.
Results and discussion The mean value of 10-point soil resistances in data record area of every test is taken as the recorded result, which are listed in Table 4.
Online since: November 2013
Authors: Ge Cui, Ya Peng Fu, Xin Ming Guo, Yong Fang
The bedrock fissure water wedges into the rock cracks, resulting reduction of rocks cohesion, decrease of internal friction angle, reduction of mechanical strength.
It can store the data.
With a communication cable connected to a computer, you can transfer the data to a computer directly to achieve figures fast and accurately.
In the tunneling site, when there is water-bearing structure ahead of the tunnel face, the abnormal infrared field generated by it will be added to the normal one, and the instrument displays the mutational data of the curve.
The data of field infrared detection are shown in Table 1, Table 2, and curve of infrared detection is shown in Fig.5.
It can store the data.
With a communication cable connected to a computer, you can transfer the data to a computer directly to achieve figures fast and accurately.
In the tunneling site, when there is water-bearing structure ahead of the tunnel face, the abnormal infrared field generated by it will be added to the normal one, and the instrument displays the mutational data of the curve.
The data of field infrared detection are shown in Table 1, Table 2, and curve of infrared detection is shown in Fig.5.
Online since: October 2006
Authors: E.Ö. Sveinbjörnsson, Fredrik Allerstam, T. Rödle, H.Ö. Ólafsson, Herbert Zirath, Per Åke Nilsson, R. Jos, G. Gudjónsson
(c) The number density of
charged NITs as a function of the electric field during charging extracted from the TDRC data in (a)
and (b).
The data for an N2O grown oxide is also shown.
(b) The field effect mobility at different temperatures extracted for the data in (a).
Figure 3(b) show the field effect mobility extracted from the data in figure 3(a).
(b) Field effect mobility extracted from the data in (a).
The data for an N2O grown oxide is also shown.
(b) The field effect mobility at different temperatures extracted for the data in (a).
Figure 3(b) show the field effect mobility extracted from the data in figure 3(a).
(b) Field effect mobility extracted from the data in (a).
Online since: August 2013
Authors: Kai Yang, Bin Bin Chen, Hui Chen, Jing Lin, Jia Yi Wang, Xi Qiong Yang
Based on the daily climate data in winter and relative meteorological yield of loquat for 2 meteorological stations in Putian from 1992 to 2009, this paper studied the disaster-inducing factors and integrated climatic index for low temperature injury of loquat.
Material and methods The data used in this paper includes daily mean temperature and daily minimum temperature in each winter season (from December to February) of two meteorological station in Putian City, Fujian Province, because the yield data of loquat had only from 1992 to 2009 continuous recording, therefore we determined the starting and ending time of data was from 1992 to 2009 in this study.
In order to test the representativeness and accuracy of the integrated climatic index of low temperature injury, the data of main loquat production area were made a trial calculation in Putian City, Fujian Province.
In these years, the low temperature injury caused the yield reduction.
Due to the limitations of the data, the study was only considered the impact of low temperature injury on loquat production.
Material and methods The data used in this paper includes daily mean temperature and daily minimum temperature in each winter season (from December to February) of two meteorological station in Putian City, Fujian Province, because the yield data of loquat had only from 1992 to 2009 continuous recording, therefore we determined the starting and ending time of data was from 1992 to 2009 in this study.
In order to test the representativeness and accuracy of the integrated climatic index of low temperature injury, the data of main loquat production area were made a trial calculation in Putian City, Fujian Province.
In these years, the low temperature injury caused the yield reduction.
Due to the limitations of the data, the study was only considered the impact of low temperature injury on loquat production.
Online since: September 2012
Authors: Toshiyo Tamura, Masaki Sekine, Hiroaki Miyoshi, Yutaka Kuwae, Toshiro Fujimoto
Furthermore obtained data from the wearable motion sensor were compared to the general estimation parameters such as performing time and Activities of Daily Living (ADL) score.
In aged society, the increase of elderly population gives reduction of physical abilities and increasing the risk of falling.
Analysis Following parameters are calculated form acceleration and angular velocity sensors 1) RMS RMS of each direction were calculated as the indices of walking ability related to the balance where Xrms :RMS of acceleration signal, N :Number of data and Xi :Data of ith number 2) Auto correlation function Autocorrelation function of vertical acceleration was calculated and evaluated of symmetry of the both legs Where h is hth auto-correlation function, r is Correlation coefficients, N is Number of data, Xi is Data of ith number and x is Average.
In aged society, the increase of elderly population gives reduction of physical abilities and increasing the risk of falling.
Analysis Following parameters are calculated form acceleration and angular velocity sensors 1) RMS RMS of each direction were calculated as the indices of walking ability related to the balance where Xrms :RMS of acceleration signal, N :Number of data and Xi :Data of ith number 2) Auto correlation function Autocorrelation function of vertical acceleration was calculated and evaluated of symmetry of the both legs Where h is hth auto-correlation function, r is Correlation coefficients, N is Number of data, Xi is Data of ith number and x is Average.