Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: July 2012
Authors: Zheng Gan Zhou, Shakoor Abdul
The loading rate was 100N/sec, and 2 minute dwell time was programmed between loadings for recording of the data.
The data was acquired at 625 kHz sampling frequency with 14 bit resolution.
Consecutive blocks of data were automatically saved on the PC and later processed with an averaging filter in Matlab for noise reduction.
The data was recorded with probe oriented parallel and perpendicular to the applied stress direction.
The forward model output, expressed as linear equation of two variables, was used for conductivity inversion from the experimental data.
The data was acquired at 625 kHz sampling frequency with 14 bit resolution.
Consecutive blocks of data were automatically saved on the PC and later processed with an averaging filter in Matlab for noise reduction.
The data was recorded with probe oriented parallel and perpendicular to the applied stress direction.
The forward model output, expressed as linear equation of two variables, was used for conductivity inversion from the experimental data.
Online since: July 2015
Authors: Mircea Boşcoianu, Catalin Cioaca, Elena Corina Boscoianu, Sebastian Pop
OMM activities are dependent on the context (features, performance, environmental conditions) and can be grouped into three categories: preventive maintenance (requires routine inspection and servicing of equipment with the aim of identifying and eliminating the causes of production losses); condition-based maintenance (uses real-time data to optimize and prioritize maintenance and resources); reactive maintenance (applies to disposals reducing unplanned specific to the wear-out failure of the life cycle).
Small multi-rotor flying robot (s-MRFR), unlike helicopters, could represent an effective solution for ensuring the return of a PV system for the following reasons: perform a non-destructive inspection; allows obtaining reliable data in real time; ensure inspection panels at an angle of vision that eliminates reflections; the inspection and evaluation time is short and the costs are low.
Autopilot mission is to independently perform as planned flight navigation using GPS data and GIS data.
Automated procedure to localize faulty modules by tagging of thermal images with GPS data and fusion mode between thermal and visual images provide more efficiency in LSPVS cases.
This does not necessarily mean a reduction in costs of OMM, but rather an improvement of the performance of PV systems based on flexibility of inspections.
Small multi-rotor flying robot (s-MRFR), unlike helicopters, could represent an effective solution for ensuring the return of a PV system for the following reasons: perform a non-destructive inspection; allows obtaining reliable data in real time; ensure inspection panels at an angle of vision that eliminates reflections; the inspection and evaluation time is short and the costs are low.
Autopilot mission is to independently perform as planned flight navigation using GPS data and GIS data.
Automated procedure to localize faulty modules by tagging of thermal images with GPS data and fusion mode between thermal and visual images provide more efficiency in LSPVS cases.
This does not necessarily mean a reduction in costs of OMM, but rather an improvement of the performance of PV systems based on flexibility of inspections.
Online since: July 2010
Authors: Zhi Hong Zhang, Shao Yi Wu, Li Li Li, Pei Xu
The calculated g and A factors are in good agreement with the
experimental data.
Thus, we have [15]: g = gs + 4k''/E1 k''[1/(E1E2) + 1/E12] + (k/2gs) ' 2 (1/E12 + 1/E3 2) , A = P' {4k''/E1 k''[1/(E1E2) + 1/E1 2] + (k/2gs) ' 2 (1/E12 + 1/E32)} - P' (1) Here gs ( 2.0023) is the spin-only value. and ' are the spin-orbit coupling coefficients, k and k' are the orbital reduction factors, and P and P' are the dipolar hyperfine structure parameters for a 4d8 ion in crystals.
When the ligand contributions are neglected, the calculated hyperfine structure constant and the g factor (Cal. a) are larger in magnitude than the experimental data.
The calculated g and A factors are in good agreement with the experimental data.
Karwowski: Handbook of Atomic Data (Elsevier Press.
Thus, we have [15]: g = gs + 4k''/E1 k''[1/(E1E2) + 1/E12] + (k/2gs) ' 2 (1/E12 + 1/E3 2) , A = P' {4k''/E1 k''[1/(E1E2) + 1/E1 2] + (k/2gs) ' 2 (1/E12 + 1/E32)} - P' (1) Here gs ( 2.0023) is the spin-only value. and ' are the spin-orbit coupling coefficients, k and k' are the orbital reduction factors, and P and P' are the dipolar hyperfine structure parameters for a 4d8 ion in crystals.
When the ligand contributions are neglected, the calculated hyperfine structure constant and the g factor (Cal. a) are larger in magnitude than the experimental data.
The calculated g and A factors are in good agreement with the experimental data.
Karwowski: Handbook of Atomic Data (Elsevier Press.
Online since: November 2013
Authors: Doina Raducanu, Vasile Danut Cojocaru, Doina Margareta Gordin, Ion Cinca, Isabelle Thibon, T. Gloriant
Data concerning phase structure and developed texture, expressed by Inverse Pole Figures (IPF’s) and Orientation Distribution Functions (ODF’s), was obtained and analyzed.
In order to obtain a refined structure a first cold-rolling was applied, using a thickness reduction of 60%, followed by a recrystallization treatment.
The PF’s raw data was analysed, using Gaussian distribution, Ghost correction and intensities normalization, by MTEX v3.2.2 software package.
The presence of both β-Ti and α”-Ti peaks and resulted fitted data, as a convolution of constitutive peaks, can be observed.
Also, in the case of 80% cold-rolled state, the fitted data accurately describes recorded XRD spectra’.
In order to obtain a refined structure a first cold-rolling was applied, using a thickness reduction of 60%, followed by a recrystallization treatment.
The PF’s raw data was analysed, using Gaussian distribution, Ghost correction and intensities normalization, by MTEX v3.2.2 software package.
The presence of both β-Ti and α”-Ti peaks and resulted fitted data, as a convolution of constitutive peaks, can be observed.
Also, in the case of 80% cold-rolled state, the fitted data accurately describes recorded XRD spectra’.
Online since: May 2012
Authors: Lin You Pan, Chuang Yu, Xiao Bing Li, Fu Xue Sun
In view of Wenzhou saturated super soft soil, This article studied the influence of different soil parameters for the shaft excavation construction and the stratum displacement change law by using Plaxis finite element software, according to the data obtained in field tests.
Combining with practice of the saturated ultra soft soil engineering projects, the article studied the influence of different soil parameters for the shaft excavation construction, the pedestrian subway entrance channel, and the stratum displacement change law by using Plaxis finite element software, according to the data obtained in field tests.
The result shows a greater stiffness reduction.
The results show a great reduction of bending stiffness.
Combining with practice of the saturated ultra soft soil engineering projects, the article studied the influence of different soil parameters for the shaft excavation construction, the pedestrian subway entrance channel, and the stratum displacement change law by using Plaxis finite element software, according to the data obtained in field tests.
Combining with practice of the saturated ultra soft soil engineering projects, the article studied the influence of different soil parameters for the shaft excavation construction, the pedestrian subway entrance channel, and the stratum displacement change law by using Plaxis finite element software, according to the data obtained in field tests.
The result shows a greater stiffness reduction.
The results show a great reduction of bending stiffness.
Combining with practice of the saturated ultra soft soil engineering projects, the article studied the influence of different soil parameters for the shaft excavation construction, the pedestrian subway entrance channel, and the stratum displacement change law by using Plaxis finite element software, according to the data obtained in field tests.
Online since: April 2021
Authors: Zahra Zareshahrabadi, Kamiar Zomorodian, Fatemeh Karami, Saeed Taghizadeh, Ali Mohammad Amani, Aida Iraji, Marjan Motamedi
TEM micrograph and DLS data of the AgNPs synthesized by L. album extract are shown in
Figure 2.
The FTIR spectroscopic data were carried to characterize the functional groups of biomolecules in L. album extract that involved in the reduction and stabilization of the AgNPs.
Funding Statement The data of this study were extracted from MSc thesis of Fatemeh Karami.
Requests for access to these data should be made to Kamiar Zomorodian, kzomorodian@gmail.com Table 1.
TEM micrograph and DLS data of synthesized AgNPs.
The FTIR spectroscopic data were carried to characterize the functional groups of biomolecules in L. album extract that involved in the reduction and stabilization of the AgNPs.
Funding Statement The data of this study were extracted from MSc thesis of Fatemeh Karami.
Requests for access to these data should be made to Kamiar Zomorodian, kzomorodian@gmail.com Table 1.
TEM micrograph and DLS data of synthesized AgNPs.
Online since: June 2013
Authors: Siti Amaniah Mohd Chachuli, Faiz Arith, Muhammad Idzdihar Idris
The percentage of power reduction is 73.9%.
The S/N ratio characteristics are divided into three categories as following: 1) Nominal is the best characteristics, (1) 2) Smaller the better characteristics, (2) 3) Larger the better characteristics, (3) Where is average of observed data, is variance of y, n is number of observations and y is observed data.
Number of observations is equal to one (n = 1) because only one data has been taken in the simulation.
This shows that the percentage of reduction is 73.9%.
The S/N ratio characteristics are divided into three categories as following: 1) Nominal is the best characteristics, (1) 2) Smaller the better characteristics, (2) 3) Larger the better characteristics, (3) Where is average of observed data, is variance of y, n is number of observations and y is observed data.
Number of observations is equal to one (n = 1) because only one data has been taken in the simulation.
This shows that the percentage of reduction is 73.9%.
Online since: October 2015
Authors: Jiří Vala, Petra Jarošová
European directive on energy performance of buildings (2010) and related national technical rules force reduction of energy consumption of both new and reconstructed buildings due to the so-called passive standard.
The paper demonstrates a possibility of compromise between complicated multi-physical models and nonexpensive thermal evaluations of buildings, as well as some optimization procedures in building design leading to energy reduction.
Some realistic initial and boundary conditions, due to available climatic data, are needed to be joined to Eq. 1, with respect to Eq. 2, too.
The extremely simplified (but non-realistic) model problem introduces only one domain Ω and its boundary ¶Ω where the environmental temperature τ*, as well as the gray body radiation flux g(τ,τ*) by the generalized Stefan-Boltzmann law, introduced in [13], p. 534; this approach takes into account the actual position of Sun on the sky, expected weather conditions, etc., coming from (sufficiently detailed) environmental data, as discussed in [8], [10] and [16].
Reduction of energy ε in (1), hidden in (2), too, to the thermal one may obstruct the detailed analysis of heat transfer in buildings, as well as other simplifications in remaining terms.
The paper demonstrates a possibility of compromise between complicated multi-physical models and nonexpensive thermal evaluations of buildings, as well as some optimization procedures in building design leading to energy reduction.
Some realistic initial and boundary conditions, due to available climatic data, are needed to be joined to Eq. 1, with respect to Eq. 2, too.
The extremely simplified (but non-realistic) model problem introduces only one domain Ω and its boundary ¶Ω where the environmental temperature τ*, as well as the gray body radiation flux g(τ,τ*) by the generalized Stefan-Boltzmann law, introduced in [13], p. 534; this approach takes into account the actual position of Sun on the sky, expected weather conditions, etc., coming from (sufficiently detailed) environmental data, as discussed in [8], [10] and [16].
Reduction of energy ε in (1), hidden in (2), too, to the thermal one may obstruct the detailed analysis of heat transfer in buildings, as well as other simplifications in remaining terms.
Online since: September 2016
Authors: Muttaqin Hasan, Saiful Husin, Cut Nursaniah
Increasing safety in the structural engineering design of buildings, bridges, parking decks, tunnels, and offshore structures requires high quality experimental data and reliable modeling of the stress-strain relationships of sulfate affected-damaged concrete.
The compressive load and axial deformation data was recorded by data logger and installed to the computer.
Since the internal craking on concrete can be identified by relative dynamic elastic modulus, and the measuring of relative dynamic elastic modulus is very easy to carry on the existing structures, then the reduction of compressive strength, the reduction of modulus of elasticity and the increasing of strain at peak stress of concrete exposed to sulfuric acid in this study were formulated as a function of relative dynamic elastic modulus.
The proposed stress-strain relationship was based on the experimental data tested on this study.
The results showed good correlation with the experimental data.
The compressive load and axial deformation data was recorded by data logger and installed to the computer.
Since the internal craking on concrete can be identified by relative dynamic elastic modulus, and the measuring of relative dynamic elastic modulus is very easy to carry on the existing structures, then the reduction of compressive strength, the reduction of modulus of elasticity and the increasing of strain at peak stress of concrete exposed to sulfuric acid in this study were formulated as a function of relative dynamic elastic modulus.
The proposed stress-strain relationship was based on the experimental data tested on this study.
The results showed good correlation with the experimental data.
Online since: August 2018
Authors: Leaford Nathan Henderson, Marhoun Ferhat
Sintering time and temperature are important for this research, since the anatase phase of TiO2 has been shown to offer superior photocatalytic properties [6] and DSSC efficiencies [7], but can be converted to the rutile phase at high sintering temperatures, especially after an extended sintering process; and although moderate rutile concentrations can improve the efficiency, beyond a certain concentration the net effect is a reduction in the device efficiency, which is shown at the extreme end of our data range.
The data presented is the average of five (for I-V or J-V) and three (for EIS and OCVD) runs on each of the sample cells, which were then averaged across each batch for accurate representative data.
The cell efficiency (η) and fill factor were determined from the raw current/voltage data from the following equations: η= ImpVmpIvA Fill factor FF= ImpVmpIscVoc Here Imp, & Vmp, represent the peak power current and voltage, Iv, & A, the incident cell irradiance and area, and Isc, & Voc the short circuit current and open – circuit voltage respectively.
J-V plots for samples of the formulation doped with lanthanum at 2.00% and sintered at temperatures ranging from 300°C to 600°C are shown in figure 2, and parametric data are included in table 2 below.
Although the range of sintering temperatures for this dataset did not extend all the way to 600°C, the plot of electron lifetime (obtained from semi-circular fits to the data in figure 4 (a)) versus sintering temperature in figure 4 (b) seems to show that the ideal temperature for producing optimized cells would occur at a midrange temperature above 300°C, but below 500°C, in keeping with the previous results presented from the study.
The data presented is the average of five (for I-V or J-V) and three (for EIS and OCVD) runs on each of the sample cells, which were then averaged across each batch for accurate representative data.
The cell efficiency (η) and fill factor were determined from the raw current/voltage data from the following equations: η= ImpVmpIvA Fill factor FF= ImpVmpIscVoc Here Imp, & Vmp, represent the peak power current and voltage, Iv, & A, the incident cell irradiance and area, and Isc, & Voc the short circuit current and open – circuit voltage respectively.
J-V plots for samples of the formulation doped with lanthanum at 2.00% and sintered at temperatures ranging from 300°C to 600°C are shown in figure 2, and parametric data are included in table 2 below.
Although the range of sintering temperatures for this dataset did not extend all the way to 600°C, the plot of electron lifetime (obtained from semi-circular fits to the data in figure 4 (a)) versus sintering temperature in figure 4 (b) seems to show that the ideal temperature for producing optimized cells would occur at a midrange temperature above 300°C, but below 500°C, in keeping with the previous results presented from the study.