Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: July 2020
Authors: Yuliusman Yuliusman, Fadel Al Farouq, Samson Patar Sipangkar, Mufiid Fatkhurrahman, Salma Amaliani Putri
The cigarettes used are filter less types so there is no reduction in pollutant levels at the beginning of cigarette combustion.
All data on the decrease in concentration will be processed into a percentage and the amount of CO gas adsorbed, then the mass of the activated carbon after the test will be weighed to see how much the mass increases.
The excessive amount of metal inserted into activated carbon will result in the closure of pores resulting in a reduction in surface area.
From the data of decreasing CO gas content for all NiO modified adsorption tests obtained with the overall adsorption ability with a sequence of Mod 0.5%> Mod 1%> Mod 2%.
The cigarette smoke adsorption test looks at data from the purity of the air content in the adsorption test box.
All data on the decrease in concentration will be processed into a percentage and the amount of CO gas adsorbed, then the mass of the activated carbon after the test will be weighed to see how much the mass increases.
The excessive amount of metal inserted into activated carbon will result in the closure of pores resulting in a reduction in surface area.
From the data of decreasing CO gas content for all NiO modified adsorption tests obtained with the overall adsorption ability with a sequence of Mod 0.5%> Mod 1%> Mod 2%.
The cigarette smoke adsorption test looks at data from the purity of the air content in the adsorption test box.
Online since: May 2007
Authors: M. Mohsen, Ehsan. A.H. Gomaa, A.S. Taha, M.M. Mostafa
From the data analysis of positron experiments the average
lifetime τav of the two main components ( )2211 τττ IIav += and trapping rate κ = I2/I1 (1/τb - 1/τ2)
[where τb =I1/τ1+ I2/τ2] were deduced on the basis of the two state trapping model
[10]
.
In addition to the increase of the amount of Mn and Mg atoms surrounding the excess vacancies [11] and the presence of Mn and Mg may be the reason for the reduction in the size of defects.
These results are in good agreement with the data obtained by Abdel-Hady et al
X Data I2 % 0 10 20 30 40 50 60 Al (1050) Al (3004) AnnealingTemperature (K) 250 350 450 550 650 750 850 κ ns-1 0.0 0.5 1.0 1.5 Fig. (2): The intensity ( I2 % ) and the trapping rate (κ) as a function of annealing temperature of Al (1050) and Al(3004).
The reduction of Hv is associated with the annealing of vacancy defects as well as a reduction of the localized valence electrons concentration at the positron site. 3.
In addition to the increase of the amount of Mn and Mg atoms surrounding the excess vacancies [11] and the presence of Mn and Mg may be the reason for the reduction in the size of defects.
These results are in good agreement with the data obtained by Abdel-Hady et al
X Data I2 % 0 10 20 30 40 50 60 Al (1050) Al (3004) AnnealingTemperature (K) 250 350 450 550 650 750 850 κ ns-1 0.0 0.5 1.0 1.5 Fig. (2): The intensity ( I2 % ) and the trapping rate (κ) as a function of annealing temperature of Al (1050) and Al(3004).
The reduction of Hv is associated with the annealing of vacancy defects as well as a reduction of the localized valence electrons concentration at the positron site. 3.
Online since: August 2013
Authors: Yao Yao
ABSTRACT
Up till now, the design code for the determination of fire resistance of reinforced concrete (RC) columns is essentially based on tabulated data.
The reduction factor of effective rigidityis derived by the authors using SAFIR.
For uniaxial compression, Pp can be calculated as: (8) where As is the total area of steel reinforcement; ; ; and are the respective reduction factors of concrete and steel strength under fire conditions
The reduction factor of effective rigidityis derived by the authors using SAFIR.
For uniaxial compression, Pp can be calculated as: (8) where As is the total area of steel reinforcement; ; ; and are the respective reduction factors of concrete and steel strength under fire conditions
Online since: December 2012
Authors: Lei Jiang, Shi Sheng Zhou, Ying Cui
In this study, according to experimental data based on the offset printing, the relationship of L*a*b* value of color and ink thickness will be determined by multiple regression method.
Employing various regression evaluation parameters and combining with the experimental data of control parameters for dimensionality reduction treatment, the optimal control parameters will be tested, thus the ink control model based on the color parameters will be set up.
Data Analysis.
This model is better of data fitting as well; Statistical parameter of SSE and RMSE closer to 0, means the model selection and fitting more better.
Area change on color printing, and the experimental data quantity, will affect the results of modeling.
Employing various regression evaluation parameters and combining with the experimental data of control parameters for dimensionality reduction treatment, the optimal control parameters will be tested, thus the ink control model based on the color parameters will be set up.
Data Analysis.
This model is better of data fitting as well; Statistical parameter of SSE and RMSE closer to 0, means the model selection and fitting more better.
Area change on color printing, and the experimental data quantity, will affect the results of modeling.
Online since: December 2013
Authors: Mohd Nazri Rejab, Muhammad Naufal Mansor
Filter Infant COPE Database Image
Principal Componen Analysis
Principal Components Analysis (PCA) [11] constructs a low-dimensional representation of the data as possible to describe as much of the data variance.
In mathematical equation, PCA attempts to find a linear transformation, which maximizes, where the covariance matrix of the zero mean data X.
It can be shown that this linear mapping is formed by the d principal eigenvectors (i.e., principal components) of the covariance matrix of the zero-mean data.
The low-dimensional data representations yi of the datapoints xi are computed by mapping them onto the linear basis, i.e., [12].
The learning rate and momentum factor are chosen as 0.1 and 0.9 respectively Experimental Results Conventional validation scheme is used for testing the effectiveness of the results of the classifier. 80% of data are used for training and 20% of data are used for testing.
In mathematical equation, PCA attempts to find a linear transformation, which maximizes, where the covariance matrix of the zero mean data X.
It can be shown that this linear mapping is formed by the d principal eigenvectors (i.e., principal components) of the covariance matrix of the zero-mean data.
The low-dimensional data representations yi of the datapoints xi are computed by mapping them onto the linear basis, i.e., [12].
The learning rate and momentum factor are chosen as 0.1 and 0.9 respectively Experimental Results Conventional validation scheme is used for testing the effectiveness of the results of the classifier. 80% of data are used for training and 20% of data are used for testing.
Online since: September 2014
Authors: Ze Ping Zhang, Fei Fei Li, Jia Yu
The author participated in the on-site audit period investigation, data collection, data check and audit report writing process, Through to the buildingenergy audit of Taiyuan Hall organ office buildings and large public buildings, we make an objective assessment to energy consumption level of the building,and make a quantitative analysis to the energy use status of energy building which found the building energy-saving potential, and complete completion of existing public buildings energy-saving seven million square meters during the " 12th Five-Year Plan" for Taiyuan, the unit area energy consumption fell more than 20 percent compared with the former building’s, and during the" five-second "period, public buildings achieved 10% reduction in energy consumption per unit area , the large public building energy consumption reduced by 15% to provide a basis.
Data processing.For the 252 energy consumption data from energy consumption statistical analysis to collect, according to unit energy consumption from low to high order, We find the minimum, median, four percentile, four percentile and the maximum value,from the above building energy consumption per unit area on the four percentile of 25% buildings, in accordance with relevant state regulations aside a certain amount of building construction as a key energy audit; From the construction unit area of energy below the four percentile of 25% buildings, take a certain number of buildings as the benchmarking building to audit, the 38 were selected as the energy audit object.
Data analysis and confirmation.Summary and analysis the data obtained from research and measure, and comparison of these data with the standard reference values and implementation of standards.By analyzing the thermal insulation of buildings to identify existing problems, explore the potential for energy savings, corresponding energy-saving measures proposed.
On the part of the energy saving buildings for the overall energy consumption reduction has play a decisive role role.
Through meta-analysis of the data obtained building the proportion of energy consumption, As shown in Fig.2(Breakdown of large public buildings energy scale drawing).
Data processing.For the 252 energy consumption data from energy consumption statistical analysis to collect, according to unit energy consumption from low to high order, We find the minimum, median, four percentile, four percentile and the maximum value,from the above building energy consumption per unit area on the four percentile of 25% buildings, in accordance with relevant state regulations aside a certain amount of building construction as a key energy audit; From the construction unit area of energy below the four percentile of 25% buildings, take a certain number of buildings as the benchmarking building to audit, the 38 were selected as the energy audit object.
Data analysis and confirmation.Summary and analysis the data obtained from research and measure, and comparison of these data with the standard reference values and implementation of standards.By analyzing the thermal insulation of buildings to identify existing problems, explore the potential for energy savings, corresponding energy-saving measures proposed.
On the part of the energy saving buildings for the overall energy consumption reduction has play a decisive role role.
Through meta-analysis of the data obtained building the proportion of energy consumption, As shown in Fig.2(Breakdown of large public buildings energy scale drawing).
Online since: September 2007
Authors: E.Ö. Sveinbjörnsson, Fredrik Allerstam, T. Rödle, H.Ö. Ólafsson, D. Dochev, R. Jos, G. Gudjónsson
The alumina boats are responsible for the increase in the oxidation rate and
the reduction of NITs.
Secondly, there is a reduction in the density of NITs by two orders of magnitude.
These three properties are always observed when strong reduction of NITs is observed.
The SIMS data of the reference samples (not shown) show comparable levels of Fe and Ni while the peak concentrations of Na and K are about two orders of magnitude lower than in oxide grown using the alumina boats.
Based on the experimental data we suggest that the near-interface traps are not formed in significant quantities when the oxidation rate is enhanced in the presence of sodium.
Secondly, there is a reduction in the density of NITs by two orders of magnitude.
These three properties are always observed when strong reduction of NITs is observed.
The SIMS data of the reference samples (not shown) show comparable levels of Fe and Ni while the peak concentrations of Na and K are about two orders of magnitude lower than in oxide grown using the alumina boats.
Based on the experimental data we suggest that the near-interface traps are not formed in significant quantities when the oxidation rate is enhanced in the presence of sodium.
Online since: November 2015
Authors: Jana Petru, Natasa Naprstkova, Dana Stancekova, Jan Semcer
A way to meet the needs of reduction of production periods together with cost reduction is the optimization of production processes.
Experiment 3 Cutting data: vc = 250 m.min-1; f = 0.15 mm; ap = 0.03 mm Time period of machining proportionally increased: tc= 12.28min.
A further significant reduction in performance period would bring a use of a cutting tool made of CBN with the rounding of rε 1.6.
I tis possible to save up to 5.207 minutes of a performance time per one bearing piece which represents a reduction of an original interval by 21% and a to cheapen production of a single operation by €5.64.
Cubonova: Postprocessing of CL Data in CAD/CAM System Edgecam using the constructor of Postprocessors, Manufacturing Technology : J. for Science, Research and Production, vol. 13, No. 2, pp.158-164, (2013) [9] J.
Experiment 3 Cutting data: vc = 250 m.min-1; f = 0.15 mm; ap = 0.03 mm Time period of machining proportionally increased: tc= 12.28min.
A further significant reduction in performance period would bring a use of a cutting tool made of CBN with the rounding of rε 1.6.
I tis possible to save up to 5.207 minutes of a performance time per one bearing piece which represents a reduction of an original interval by 21% and a to cheapen production of a single operation by €5.64.
Cubonova: Postprocessing of CL Data in CAD/CAM System Edgecam using the constructor of Postprocessors, Manufacturing Technology : J. for Science, Research and Production, vol. 13, No. 2, pp.158-164, (2013) [9] J.
Online since: December 2010
Authors: Yu Sen Lin, Li Hua Xin, Min Xiang
Vertical vehicle acceleration and reduction rate of wheel load are hardly varying with damping ratio.
Parameters Analysis of Train running performance on High-speed Bridge during Earthquake In this paper bridge is 32m multi-span simple beam of Qin’shen passenger transportation special line, rail irregularity is real data of Qin’shen passenger transportation special line.
Table 4 Relation of bridge damping ratio and dynamic responses of vehicle-bridge system during Qian’an wave Bridge damping ratio Vertical displacement in the middle of span(mm) Lateral displacement in the middle of span (mm) Vertical acceleration of vehicle (g) Lateral acceleration of vehicle (g) Reduction rate of wheel load ∆p/p Lateral wheel-rail force (kN) Derailment coefficient Q/P 0.01 3.548 3.481 0.082 0.0998 16.01 54.6 0.445 0.02 3.511 3.344 0.082 0.099 15.86 53.39 0.434 0.04 3.443 3.16 0.0821 0.0984 15.64 51.66 0.419 0.06 3.38 3.03 0.082 0.0977 15.56 50.42 0.409 0.08 3.34 2.919 0.082 0.0972 15.63 49.46 0.401 0.1 3.3 2.817 0.082 0.0968 15.63 48.69 0.395 Table 5 Relation of bridge damping ratio and dynamic responses of vehicle-bridge system during Kobe wave bridge damping ratio vertical displacement in the middle of span (mm) lateral displacement in the middle of span (mm) vertical acceleration of vehicle (g) lateral acceleration of vehicle (g) Reduction rate of wheel load
Vertical vehicle acceleration and reduction rate of wheel load vary less with different damping ratio.
Vertical vehicle acceleration and reduction rate of wheel load vary less with different damping ratio. 6.
Parameters Analysis of Train running performance on High-speed Bridge during Earthquake In this paper bridge is 32m multi-span simple beam of Qin’shen passenger transportation special line, rail irregularity is real data of Qin’shen passenger transportation special line.
Table 4 Relation of bridge damping ratio and dynamic responses of vehicle-bridge system during Qian’an wave Bridge damping ratio Vertical displacement in the middle of span(mm) Lateral displacement in the middle of span (mm) Vertical acceleration of vehicle (g) Lateral acceleration of vehicle (g) Reduction rate of wheel load ∆p/p Lateral wheel-rail force (kN) Derailment coefficient Q/P 0.01 3.548 3.481 0.082 0.0998 16.01 54.6 0.445 0.02 3.511 3.344 0.082 0.099 15.86 53.39 0.434 0.04 3.443 3.16 0.0821 0.0984 15.64 51.66 0.419 0.06 3.38 3.03 0.082 0.0977 15.56 50.42 0.409 0.08 3.34 2.919 0.082 0.0972 15.63 49.46 0.401 0.1 3.3 2.817 0.082 0.0968 15.63 48.69 0.395 Table 5 Relation of bridge damping ratio and dynamic responses of vehicle-bridge system during Kobe wave bridge damping ratio vertical displacement in the middle of span (mm) lateral displacement in the middle of span (mm) vertical acceleration of vehicle (g) lateral acceleration of vehicle (g) Reduction rate of wheel load
Vertical vehicle acceleration and reduction rate of wheel load vary less with different damping ratio.
Vertical vehicle acceleration and reduction rate of wheel load vary less with different damping ratio. 6.
Online since: December 2018
Authors: Brian Gabbitas, Ajit Pal Singh, Fei Yang, Rob Torrens, Leandro Bolzoni
From mechanical property data attained here, it was apparent that annealing in high α-β region gave a much better combination of mechanical properties: yield strength (860-902 MPa), ultimate tensile strength (1060-1084 MPa) and ductility/plastic strain (11.5-13.6%).
The data collected for α-β colony size clearly show that the initial as-extruded microstructure and most of the material given an α-β heat treatment had a similar colony size in the range 48-59 mm on average.
It is well known that a decrease in colony size results in a reduction of the slip length, which enhances YS and ductility [8].
With increasing colony size this phenomena becomes much less predominant and as a consequence a reduction in tensile properties occurs [8].
Other α+β heat treatment (FC from 955°C) showed a reduction of 5.4% compared with as-extruded material.
The data collected for α-β colony size clearly show that the initial as-extruded microstructure and most of the material given an α-β heat treatment had a similar colony size in the range 48-59 mm on average.
It is well known that a decrease in colony size results in a reduction of the slip length, which enhances YS and ductility [8].
With increasing colony size this phenomena becomes much less predominant and as a consequence a reduction in tensile properties occurs [8].
Other α+β heat treatment (FC from 955°C) showed a reduction of 5.4% compared with as-extruded material.