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Online since: August 2014
Authors: Kai Bei Peng, Jin Tao Zhang
The Mode set to logic 0 in order to control 2 to 1 multiplexer selects D0 data which is Signal.IN and directly propagate to SignalOUT.
Normal operation Simulation Circuit 3.2 Scan mode simulation Shift.DR and BIST.MODE are fixed to logic 1 so that the 4-to-1 multiplexer selects data D1 which is Scan.IN, and it propagate will to Scan.OUT at next raising edge of Clock.DR.
Mode is set to logic 1 in order to control 2 to 1 multiplexer selects data D1 which is the output of the second D flip-flop.
Test data is sent into the first cell Scan.IN pin and at next raising edge of Clock.DR will transfer to Scan.OUT then next cell.
This comparison shows the benefits of a boundary BIST approach to be a significant reduction in the time to test combinational logic residing between the boundaries of ICs in a circuit.
Normal operation Simulation Circuit 3.2 Scan mode simulation Shift.DR and BIST.MODE are fixed to logic 1 so that the 4-to-1 multiplexer selects data D1 which is Scan.IN, and it propagate will to Scan.OUT at next raising edge of Clock.DR.
Mode is set to logic 1 in order to control 2 to 1 multiplexer selects data D1 which is the output of the second D flip-flop.
Test data is sent into the first cell Scan.IN pin and at next raising edge of Clock.DR will transfer to Scan.OUT then next cell.
This comparison shows the benefits of a boundary BIST approach to be a significant reduction in the time to test combinational logic residing between the boundaries of ICs in a circuit.
Online since: July 2022
Authors: Peter Groche, Rui Zhe Li, Yu Tian Wu
The so called “wear mechanism map” is based on data gained in pin-on-disc tests [8].
The data amount and its load levels are also summarized in Table 3.
At the lowest load level of the fitting data, most of the data is located on the left side of the derived curve, indicating an overestimated tool life at low load level.
Therefore, the 19 data points are split into two parts, the data for fitting and the data for validation.
The only difference is that the data of load level 5, the lowest load level of the test data, always serve as fitting data.
The data amount and its load levels are also summarized in Table 3.
At the lowest load level of the fitting data, most of the data is located on the left side of the derived curve, indicating an overestimated tool life at low load level.
Therefore, the 19 data points are split into two parts, the data for fitting and the data for validation.
The only difference is that the data of load level 5, the lowest load level of the test data, always serve as fitting data.
Online since: October 2008
Authors: Manuel Carsí, Oscar Ruano, Ignacio Rieiro, Jesus Castellanos, Julio Muñoz
We are able to determine A(ε), Q(ε), n(ε), α(ε) from the experimental data using Eq. 3.
The data reduction was conducted by means of a differential integrated method [12,13] and the adiabatic heating was corrected by means of an iterative method [14].
The table also gives the Fisher-Snedecor F and R2 values to show the goodness of the data fit.
Squares are experimental data and circles are predicted points.
The predicted values for α(ε), Fig. 2a, are numerically acceptable considering the dispersion of the experimental data.
The data reduction was conducted by means of a differential integrated method [12,13] and the adiabatic heating was corrected by means of an iterative method [14].
The table also gives the Fisher-Snedecor F and R2 values to show the goodness of the data fit.
Squares are experimental data and circles are predicted points.
The predicted values for α(ε), Fig. 2a, are numerically acceptable considering the dispersion of the experimental data.
Online since: October 2011
Authors: I.O. Oboh, C.N. Owabor, F.A. Omiojieahior
The equilibrium data did not fit the Langmuir isotherm with values of 0.287 and 0.021 for clay and silt soil respectively.
Using the nonlinear method the equilibrium data gave good fit for Radke-Prausnitz, Sips, Temkin and Redlich-Peterson isotherms.
Modelling of sorption equilibrium data is important for predicting and comparing biosorption performance [10].
The values of r2 were very low and the corresponding standard error of the estimate very high, these show that the equilibrium data does not fit the Langmuir isotherm.
· Using linear method Freundlich isotherm gave the best fit for the adsorption data for both clay and silt soil followed by Temkin and Redlich-Peterson isotherm but the fit to the adsorption data using Langmuir isotherm was unsatisfactory
Using the nonlinear method the equilibrium data gave good fit for Radke-Prausnitz, Sips, Temkin and Redlich-Peterson isotherms.
Modelling of sorption equilibrium data is important for predicting and comparing biosorption performance [10].
The values of r2 were very low and the corresponding standard error of the estimate very high, these show that the equilibrium data does not fit the Langmuir isotherm.
· Using linear method Freundlich isotherm gave the best fit for the adsorption data for both clay and silt soil followed by Temkin and Redlich-Peterson isotherm but the fit to the adsorption data using Langmuir isotherm was unsatisfactory
Online since: July 2017
Authors: Elisa Seiler, Michael Dieterle, Tobias Viere
Recycling via mechanical shredding, microwave pyrolysis and subcritical solvolysis is compared and comprehensive primary data on energy demand and process throughput are examined.
To decide which solution is most efficient, economic and ecological data are plotted on an eco-efficiency portfolio.
Finally, data are plotted on an eco-efficiency portfolio for visualization.
Scenario II and III are characterized by certain estimates and assumptions based on economic and ecological data.
The gathering of extensive primary ecological and economic data enables the identification of further resource efficiency potentials through the entire life cycle.
To decide which solution is most efficient, economic and ecological data are plotted on an eco-efficiency portfolio.
Finally, data are plotted on an eco-efficiency portfolio for visualization.
Scenario II and III are characterized by certain estimates and assumptions based on economic and ecological data.
The gathering of extensive primary ecological and economic data enables the identification of further resource efficiency potentials through the entire life cycle.
Online since: January 2013
Authors: Hak Yoon Kim
High speed autorotation is simulated using an aerodynamic data set that is analyzed by the two-dimensional compressible Navier-Stokes Solver.
The experimental data published are rather out of date with respect to test velocity or advance ratio [5].
Hence, a rotor airfoil (NACA 0012) is analyzed by two dimensional compressible Navier-Stokes code, and the data set is used in simulation.
After that, a case study is performed using the aerodynamic data, in which airspeed is increased to observe the autorotation region for the variables.
The transient Simulation Method for autorotation works fairly well if it is used with sophisticated two-dimensional aerodynamic data.
The experimental data published are rather out of date with respect to test velocity or advance ratio [5].
Hence, a rotor airfoil (NACA 0012) is analyzed by two dimensional compressible Navier-Stokes code, and the data set is used in simulation.
After that, a case study is performed using the aerodynamic data, in which airspeed is increased to observe the autorotation region for the variables.
The transient Simulation Method for autorotation works fairly well if it is used with sophisticated two-dimensional aerodynamic data.
Online since: February 2015
Authors: Hasan Zuhudi Abdullah, Ahmad Norman Khalis Ahmad Fara, Mohd Azha bin Yahya
The XRD result revealed the presence of derived HAp and coherent with Joint Committee on Powder Diffraction Powder Standard data and the Thermo Gravimetric Analysis was carried out to show the thermal stability of the HAp powder.
Then, the calcined samples were milled by using Planetary Pulverisette 14 machine (Fritsch) for particles size reduction in 1 min.
Intensity data were collected by step counting method where step was set at 0.02° and time 0.5 s in the range 2θ = 15° – 80°.
Fig. 2 X-ray diffraction pattern of fish bone powder before and after heat treatment (calcination) at temperature of 800° C and 1000° C with compared to XRD data of standard HAp Ca/P Ratio It was found those higher molar Ca/P ratios were obtained in our materials (Table 1) compared to the stoichiometric HA.
Then, the calcined samples were milled by using Planetary Pulverisette 14 machine (Fritsch) for particles size reduction in 1 min.
Intensity data were collected by step counting method where step was set at 0.02° and time 0.5 s in the range 2θ = 15° – 80°.
Fig. 2 X-ray diffraction pattern of fish bone powder before and after heat treatment (calcination) at temperature of 800° C and 1000° C with compared to XRD data of standard HAp Ca/P Ratio It was found those higher molar Ca/P ratios were obtained in our materials (Table 1) compared to the stoichiometric HA.
Online since: November 2011
Authors: Hao Yan Sun, Qing Guo Xue, Jing Song Wang, Xiang Juan Dong
Based on the experimental data, the liquidus temperatures of the slags were evaluated using the second derivatives of the activation energies for viscous flow with respect to temperature.
In recent years, a new process named “direct reduction - electric furnace melting” has been developed for utilizing the titanomagnetite concentrates.
The present objective was to create a data base for the viscosity of high titanium slag with low basicity, so that a suitable viscosity model can be formulated in order to optimize the titanium slag with a wide range of temperature and slag chemistry.
Based on the experimental data, the liquidus temperatures of the slags were evaluated using the second derivatives of the activation energies for viscous flow with respect to temperature.
In recent years, a new process named “direct reduction - electric furnace melting” has been developed for utilizing the titanomagnetite concentrates.
The present objective was to create a data base for the viscosity of high titanium slag with low basicity, so that a suitable viscosity model can be formulated in order to optimize the titanium slag with a wide range of temperature and slag chemistry.
Based on the experimental data, the liquidus temperatures of the slags were evaluated using the second derivatives of the activation energies for viscous flow with respect to temperature.
Online since: April 2012
Authors: Koji Inaka, Hiroaki Tanaka, Sachiko Takahashi, Masaru Sato, Satoshi Sano, Masateru Shirakawa, Yoshinori Yoshimura
This can lead to an X-ray diffraction data collection of higher resolution with lower mosaicity, because of the better internal order and fewer defects in the crystals when compared to ground-grown crystals.
A summary of the results is listed in Table 1, and the data of the effective samples when the D/β value is smaller than 1.0 mm are shown in Table 2.
The data of the effective samples when the D/β value is smaller than 1.0 mm.
When ‘A’ in equation (5) was as small as ‘10’, it was suggested that the reduction of DFR might be more obvious if IR could be reduced more.
A summary of the results is listed in Table 1, and the data of the effective samples when the D/β value is smaller than 1.0 mm are shown in Table 2.
The data of the effective samples when the D/β value is smaller than 1.0 mm.
When ‘A’ in equation (5) was as small as ‘10’, it was suggested that the reduction of DFR might be more obvious if IR could be reduced more.
Online since: December 2010
Authors: L.G. Varepo, A.V. Golunov
The 3D-profilograf software registers measurements and carries out their statistical processing getting the various data about the investigated sample surface (the area of hollows, the area of raises, the maximum height, the maximum depth etc.).
The experimental data show that it is possible to reproduce the greatest colour coverage on the material of the following sorts: Zeta (hammer) and Zeta (flax) (Tab.2).
Due to the received data the investigated materials can be ranged according to the roughness surface layer indicator as follows: Zeta (flax)Due to the received data the investigated materials can be ranged according to the integrated indicator of the colour coverage estimation as follows: Zeta (flax)> Zeta (a hammer)> VHI> Katlin> Luxpack.
3) Microgeometry influence of the paper surface on the colour rendering is established.
In a case when the roughness indicator Ra is commensurable with the size of a reproduced dot the reduction of printing system colour coverage is observed.
The experimental data show that it is possible to reproduce the greatest colour coverage on the material of the following sorts: Zeta (hammer) and Zeta (flax) (Tab.2).
Due to the received data the investigated materials can be ranged according to the roughness surface layer indicator as follows: Zeta (flax)
In a case when the roughness indicator Ra is commensurable with the size of a reproduced dot the reduction of printing system colour coverage is observed.