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Online since: July 2016
Authors: Priscilla Gloria Lorraine Baker, David Mutuku Katithi, Peterson M. Guto, Geoffrey N. Kamau, Immaculate N. Michira, Emmanuel Iheanyichukwu Iwuoha
The occurrence of such reduction was confirmed using UV-Vis spectroscopy.
A marked reduction of the BTB concentration from 125 mg/l to 78 mg/L was realized.
The change in the concentration of BTB with time was monitored and the resulting data subjected to various kinetic models.
The data obtained was found to fit the pseudo first order kinetic model based on Eq.2 below; k=1tln[BTB]o[BTB]t (2) Where [BTB]o refers to the initial concentration of brymothymol blue while as [BTB]t is the concentration of BTB remaining after time t.
The data obtained is presented in Table 1 and Figure 9 below.
A marked reduction of the BTB concentration from 125 mg/l to 78 mg/L was realized.
The change in the concentration of BTB with time was monitored and the resulting data subjected to various kinetic models.
The data obtained was found to fit the pseudo first order kinetic model based on Eq.2 below; k=1tln[BTB]o[BTB]t (2) Where [BTB]o refers to the initial concentration of brymothymol blue while as [BTB]t is the concentration of BTB remaining after time t.
The data obtained is presented in Table 1 and Figure 9 below.
Online since: October 2004
Authors: M.W. Jessell
It is based on a
data structure that describes a polycrystalline material using a two-dimensional network of nodes
and connecting boundaries.
Data on the geometry of the structure and attributes such as dislocation density, viscosity and stress-state of nodes and polygons are stored in an Elle data file.
To simulate the progress of a process, individual algorithms can interact with this data structure (a) by using it to determine the local values of driving forces (b) by repositioning, creating and removing nodes (c) by reconnecting boundary segments, and (d) by altering attributes.
In this paper, an implementation of the grain boundary migration algorithm described in [9] was used to simulate single-phase grain growth driven by reduction in grain boundary energy and/or by reduction in internal defect energy.
The evolution of the model during the 8000 time steps is driven entirely by isotropic grain boundary energy reduction and its behaviour in terms of grain shape and grain size evolution is unremarkable: the grain area increases approximately linearly as a function of time and the early grain boundary alignment is quickly obliterated.
Data on the geometry of the structure and attributes such as dislocation density, viscosity and stress-state of nodes and polygons are stored in an Elle data file.
To simulate the progress of a process, individual algorithms can interact with this data structure (a) by using it to determine the local values of driving forces (b) by repositioning, creating and removing nodes (c) by reconnecting boundary segments, and (d) by altering attributes.
In this paper, an implementation of the grain boundary migration algorithm described in [9] was used to simulate single-phase grain growth driven by reduction in grain boundary energy and/or by reduction in internal defect energy.
The evolution of the model during the 8000 time steps is driven entirely by isotropic grain boundary energy reduction and its behaviour in terms of grain shape and grain size evolution is unremarkable: the grain area increases approximately linearly as a function of time and the early grain boundary alignment is quickly obliterated.
Online since: May 2014
Authors: Yong Hong Tao, Jun Shi, Jing Yang
Table 1 shows General engine data of the marine diesel.
General engine data of marine diesel Index unit numericalvalue Type Vertical,Water Cooling,Four Stroke,Direct Injection Cylinder No 3 Bore×Stroke mm 80×90 Total piston displacement L 1.357 Compression ratio 18 Rated output/Speed kw/(r·min-1) 20.6/2800 Max.output/Max.Revolution kw/(r·min-1) 22.6/2890 Air consumption in 10 minutes m³ 16.148 Starting method Electric Gear box type ZF12M Reduction ratio Ahead2.63 Astern1.95 Direction of rotation right Engine Model 380J-1 Engine overall dimension(mm) mm 828×560×638 Engine net weight (kg) kg 200 Function Evaluation It uses function analysis system technique (FAST) to regulate the function of components and parts.
Sorting data and according to ratio that each component score accounted for the total, we obtain component function coefficient.The function score, average score and function coefficient is listed in table 2.
According to the data collected by function and cost in the marine diesel’s components, we think it’s a better choice to combine cost and function of weight.
Then we establish comparison table 3, calculate actual cost, function value and cost reduction.From the table we can see that the optimization of the proposed scheme not only makes the marine engine cost decrease by 6%, but also make the function value of relevant parts greatly improved.
General engine data of marine diesel Index unit numericalvalue Type Vertical,Water Cooling,Four Stroke,Direct Injection Cylinder No 3 Bore×Stroke mm 80×90 Total piston displacement L 1.357 Compression ratio 18 Rated output/Speed kw/(r·min-1) 20.6/2800 Max.output/Max.Revolution kw/(r·min-1) 22.6/2890 Air consumption in 10 minutes m³ 16.148 Starting method Electric Gear box type ZF12M Reduction ratio Ahead2.63 Astern1.95 Direction of rotation right Engine Model 380J-1 Engine overall dimension(mm) mm 828×560×638 Engine net weight (kg) kg 200 Function Evaluation It uses function analysis system technique (FAST) to regulate the function of components and parts.
Sorting data and according to ratio that each component score accounted for the total, we obtain component function coefficient.The function score, average score and function coefficient is listed in table 2.
According to the data collected by function and cost in the marine diesel’s components, we think it’s a better choice to combine cost and function of weight.
Then we establish comparison table 3, calculate actual cost, function value and cost reduction.From the table we can see that the optimization of the proposed scheme not only makes the marine engine cost decrease by 6%, but also make the function value of relevant parts greatly improved.
Online since: September 2013
Authors: V.S. Yemelyanova, T. V. Shakieva, B. B. Baizhomartov, Zh.K. Kairbekov, E. M. Shakiev
This data testify that humicacids complexes with cobalt ions behave likepolyelectrolytes, i.e. on the humicacidsmacromolecules, despite their partial filling bycobalt ions, charged centresare always present.
This conclusion confirmedby the results thesystem oxidation-reduction propertiesresearches.
The redox-potential of the system Co(NO3)2–HA–H2O–Na2SO3 was in the interval 0,3-0,5V, at that, dj/dCСо> 0, dj/d<0, dj/d= 0, dj/dT> 0; all it, and also the Pourbaix diagram data for water solutions of cobalt salts at рН 8-9, allow to assume that the system redox-potential is described by the Nernst equation in the form of: wheregi,gj,bi, bj–the constants of complexing of the cobalt(II) and cobalt(III) with thehumic acid and the sulphite-ion correspondingly.
A share of each component counted under the formula: , whereαj – the summary constant of complex formation by the equation: According to the potentiometric data Na2SO3introduction in the system Co(NO3)2–HA–H2O leads to the redox-potential sharp falling approximately by 100-150 mV at the expense of the cobalt(III) to the cobalt(II) reduction, at that there is a change of solution color from pink to brownish depending from the a ratio /-.
Additional proofs are received from the data obtained at the different initial concentrations of cobalt in the system Co(NO3)2–HA–H2Owhich was varied from to mol/l.
This conclusion confirmedby the results thesystem oxidation-reduction propertiesresearches.
The redox-potential of the system Co(NO3)2–HA–H2O–Na2SO3 was in the interval 0,3-0,5V, at that, dj/dCСо> 0, dj/d<0, dj/d= 0, dj/dT> 0; all it, and also the Pourbaix diagram data for water solutions of cobalt salts at рН 8-9, allow to assume that the system redox-potential is described by the Nernst equation in the form of: wheregi,gj,bi, bj–the constants of complexing of the cobalt(II) and cobalt(III) with thehumic acid and the sulphite-ion correspondingly.
A share of each component counted under the formula: , whereαj – the summary constant of complex formation by the equation: According to the potentiometric data Na2SO3introduction in the system Co(NO3)2–HA–H2O leads to the redox-potential sharp falling approximately by 100-150 mV at the expense of the cobalt(III) to the cobalt(II) reduction, at that there is a change of solution color from pink to brownish depending from the a ratio /-.
Additional proofs are received from the data obtained at the different initial concentrations of cobalt in the system Co(NO3)2–HA–H2Owhich was varied from to mol/l.
Online since: June 2014
Authors: Xin Jile Tu Yang, Hui Lv, Wei Hong Han
Taking into account the availability of data, the paper calculates these indicators data from 2008 to 2012, using SPSS17.0 to analyze the principal component analysis, and detailed analysis is shown below.
So the proportion of the contribution of factor is 98.242% in the total variance, which can fully reflect the vast majority of information of the original data.
Recent data show that the proportion of China’s oil consumption in logistics industry up to 50%, and this high consumption will inevitably lead to higher emissions and pollution.
The forest carbon sequestration has incomparable advantages than industrial emissions reduction, such as low cost, high comprehensive benefit, and obvious CO2 reduction [11].
The advantages of forest in CO2 emission reduction have become the consensus of the international community.
So the proportion of the contribution of factor is 98.242% in the total variance, which can fully reflect the vast majority of information of the original data.
Recent data show that the proportion of China’s oil consumption in logistics industry up to 50%, and this high consumption will inevitably lead to higher emissions and pollution.
The forest carbon sequestration has incomparable advantages than industrial emissions reduction, such as low cost, high comprehensive benefit, and obvious CO2 reduction [11].
The advantages of forest in CO2 emission reduction have become the consensus of the international community.
Online since: September 2013
Authors: Yuan Yuan Ren, Peng Zhang
Data Center, National Disaster Reduction Center of China, Beijing, 100124, China
2.
Let X and Y be corresponding data matrices whose columns are data vectors.
Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science, vol. 290, no. 5500, pp. 2323-2326, 2000
Niyogi, “Laplacian eigenmaps for dimensionality reduction and data representation,” Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003
Let X and Y be corresponding data matrices whose columns are data vectors.
Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science, vol. 290, no. 5500, pp. 2323-2326, 2000
Niyogi, “Laplacian eigenmaps for dimensionality reduction and data representation,” Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003
Review on Renewable Energy Potential in Australian Subtropical Region (Central and North Queensland)
Online since: October 2011
Authors: Gang Liu, Ali Baniyounes, Mohammad Rasul, Masud M. K. Khan
A fourth method can be used if pressure data is not available and temperature data is available, then the air density ρ can be calculated as in equation 5:
5
Where P is atmospheric pressure at a standard sea level = 101,325 Pascal, and g is the gravity constant 9.8 m/s².Equation 1 stated that wind speed was blowing at V speed all times, which is not possible in real life since wind speed varies all the times.
As air density ρ and wind speed V keep changing, the most accurate result would be by following a calculation to every data interval for a whole year, which takes us to a very lengthy calculation process.
Central and North Queensland meteorological data analysis and discussion In this research, data was collected from 6 Australian meteorological data stations and from Ret screen, namely; Gladstone, Emerald, Rockhampton, Yeppoon, Townsville, and Cairns.
This data is used in this research to assess the potential of solar and wind energy in Central and North Queensland.
The meteorological data obtained are based on daily average measured data in the last 15 years [30-31].
As air density ρ and wind speed V keep changing, the most accurate result would be by following a calculation to every data interval for a whole year, which takes us to a very lengthy calculation process.
Central and North Queensland meteorological data analysis and discussion In this research, data was collected from 6 Australian meteorological data stations and from Ret screen, namely; Gladstone, Emerald, Rockhampton, Yeppoon, Townsville, and Cairns.
This data is used in this research to assess the potential of solar and wind energy in Central and North Queensland.
The meteorological data obtained are based on daily average measured data in the last 15 years [30-31].
Online since: September 2014
Authors: N. Mastelari, C.A. Cimini, A.L.A. Ribeiro
The present study was directed to the use of conditioned piezoelectric sensors along with low cost commercial off-the shelf data acquisition system to implement a reliable impact localization method.
Data acquisition was performed with a simple low cost bus-powered USB data acquisition device, which could promptly be connected to a laptop and provide measurements.
Sensor wiring was extended with the help of connector joints, allowing for fast change of cabling between sensors and data acquisition device.
The moment of impact calculated using each sensor’s data must be equal, which motivates the use of the error function (E) given by Eq. 2
Jata: Point of impact prediction in isotropic and anisotropic plates from the acoustic emission data.
Data acquisition was performed with a simple low cost bus-powered USB data acquisition device, which could promptly be connected to a laptop and provide measurements.
Sensor wiring was extended with the help of connector joints, allowing for fast change of cabling between sensors and data acquisition device.
The moment of impact calculated using each sensor’s data must be equal, which motivates the use of the error function (E) given by Eq. 2
Jata: Point of impact prediction in isotropic and anisotropic plates from the acoustic emission data.
Online since: November 2018
Authors: David Moens, Matthias Faes
This paper presents the application of a new method for the identification and quantification
of interval valued spatial uncertainty under scarce data.
To apply these high-dimensional but scarce data, extensions to the novel method are introduced.
Prior to applying the identification and quantification procedure, some operations on the DIC measurement data are necessary.
-0.01 1000 1000 0 800 Y [px] X [px] 500 600 ǫyy [−] 0.01 400 200 0 0.02 Interpolated bi-cubic splines DIC data Fig. 2: Bi-cubic spline interpolation of the measured longitudinal strain field Finally, since the computational cost of obtaining a convex hull scales exponentially with the dimension over which it has to be computed, a reduction of the dimension of the DIC and finite element predicted data is pre-emptive before applying the quantification procedure.
Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data.
To apply these high-dimensional but scarce data, extensions to the novel method are introduced.
Prior to applying the identification and quantification procedure, some operations on the DIC measurement data are necessary.
-0.01 1000 1000 0 800 Y [px] X [px] 500 600 ǫyy [−] 0.01 400 200 0 0.02 Interpolated bi-cubic splines DIC data Fig. 2: Bi-cubic spline interpolation of the measured longitudinal strain field Finally, since the computational cost of obtaining a convex hull scales exponentially with the dimension over which it has to be computed, a reduction of the dimension of the DIC and finite element predicted data is pre-emptive before applying the quantification procedure.
Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data.
Online since: June 2011
Authors: Zong Cai Deng, Jian Hui Li, Ying Li, Zhao Zhong Chang
Test phenomena are described, experimental data are analyzed and compared, and the effect of the axial compression ratio and stirrup reinforcement ratio on the seismic behavior is studied.
Table 2 summarizes the results of the cyclic tests, it can be seen from Table 2 that (1) the rebar corrosion causes the reduction of bearing capacity for the un-strengthened columns, however, the yield load of the corroded columns strengthened with hybrid FRP sheets is decreased by 7.8%~10.4% compared to the corresponding strengthened un-corroded columns, but the maximum load is slightly increased by 1.2%~6.1%, which indicate that strengthening with hybrid FRP sheets can make up the reduction of bearing capacity caused by rebar corrosion, and lead to the maximum bearing capacity of the strengthened corroded column up to same level with the strengthened un-corroded column, even higher. (2) With the increase of axial compressive ratio, the strengthening effect of hybrid FRP sheets is more remarkable. (3) When the axial compressive ratio is same, with the increase of stirrup space, the bearing capacity of the specimens is decreased by 5.0%~14.8%.
Fig. 1 shows the hysteresis curves, it can be observed from Fig.1 that the un-strengthened corroded columns show poor hysteresis response due to rebar corrosion resulting in low lateral load and ductility, especially under high axial compressive ratio, the reduction of bearing capacity and rigidity is very distinct after the maximum lateral load is obtained, the failure of the corroded columns may change from ductile failure of the un-corroded column to brittle failure.
Table 2 summarizes the results of the cyclic tests, it can be seen from Table 2 that (1) the rebar corrosion causes the reduction of bearing capacity for the un-strengthened columns, however, the yield load of the corroded columns strengthened with hybrid FRP sheets is decreased by 7.8%~10.4% compared to the corresponding strengthened un-corroded columns, but the maximum load is slightly increased by 1.2%~6.1%, which indicate that strengthening with hybrid FRP sheets can make up the reduction of bearing capacity caused by rebar corrosion, and lead to the maximum bearing capacity of the strengthened corroded column up to same level with the strengthened un-corroded column, even higher. (2) With the increase of axial compressive ratio, the strengthening effect of hybrid FRP sheets is more remarkable. (3) When the axial compressive ratio is same, with the increase of stirrup space, the bearing capacity of the specimens is decreased by 5.0%~14.8%.
Fig. 1 shows the hysteresis curves, it can be observed from Fig.1 that the un-strengthened corroded columns show poor hysteresis response due to rebar corrosion resulting in low lateral load and ductility, especially under high axial compressive ratio, the reduction of bearing capacity and rigidity is very distinct after the maximum lateral load is obtained, the failure of the corroded columns may change from ductile failure of the un-corroded column to brittle failure.