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Online since: October 2015
Authors: Stefan Nowak, Janusz Grabara, Bartłomiej Okwiet, Radu Sorin Mihai
The data inconsistency is the result of how the information applications have been developed.
Solving the inconsistency of data involves: the identification of possible discrepancies and conflicts (the discrepancies in the data appear due to differently representing similar data in different systems, which may lead to conflicts.
An alternative to such situations would be the inclusion into the logic of accessing the data of an application from other applications, respectively into the logic of migration of data from one application into another, of mechanisms to deal with conflicts.
This solution is easy to implement, because it requires a low abstraction of data and processes.
Thus, the fluidization of the data exchange between the elements of the enterprise's formal structure are thus ensured.
Solving the inconsistency of data involves: the identification of possible discrepancies and conflicts (the discrepancies in the data appear due to differently representing similar data in different systems, which may lead to conflicts.
An alternative to such situations would be the inclusion into the logic of accessing the data of an application from other applications, respectively into the logic of migration of data from one application into another, of mechanisms to deal with conflicts.
This solution is easy to implement, because it requires a low abstraction of data and processes.
Thus, the fluidization of the data exchange between the elements of the enterprise's formal structure are thus ensured.
Online since: January 2022
Authors: Liudmila Lavrik, Monika Woloszyn, Anne Cecile Grillet, Paola Gallo Stampino, Marco Caruso, Giovanni Dotelli, Alessia Emanuela Losini
All the data of the soil ABS, sand, and the MIX (1:3 soil-to-sand ratio) are summarized in Tab. 1 and Fig. 1.
Tab. 1 Materials data sheet, where MIX is composed by 1:3 soil-sand ratio.
The results are presented in the γd -w plane and all the mixtures exhibit a typical trend of the experimental data allowing to identify the optimum water content (OWC).
Conversely, no specific data has been found for γs_citrus.
However, a deeper insight into experimental data may lead to some preliminary hypotheses about the relevant effects on the mechanical behavior of addition.
Tab. 1 Materials data sheet, where MIX is composed by 1:3 soil-sand ratio.
The results are presented in the γd -w plane and all the mixtures exhibit a typical trend of the experimental data allowing to identify the optimum water content (OWC).
Conversely, no specific data has been found for γs_citrus.
However, a deeper insight into experimental data may lead to some preliminary hypotheses about the relevant effects on the mechanical behavior of addition.
Online since: August 2017
Authors: Atthakorn Thongtha, Jiraphorn Mahawan, Somchai Maneewan, Tanapon Patanin
The presence of the four phases CaCO3, C-S-H, SiO2 and Ca(OH)2 was confirmed by comparing the XRD-data of the samples with that of the standard JCPDS-data (i.e. file numbers: 01-0628, 03-0594, 03-0227 and 01-1079), respectively.
Cellular lightweight concrete with an increase of 5-20% and a reduction of 5-15% by weight of the sand content was based on the Thai Industrial Standard 2601-2013.
Thongtha, Phase change material coating on autoclaved aerated lightweight concrete for cooling load reduction, Mater.
Cellular lightweight concrete with an increase of 5-20% and a reduction of 5-15% by weight of the sand content was based on the Thai Industrial Standard 2601-2013.
Thongtha, Phase change material coating on autoclaved aerated lightweight concrete for cooling load reduction, Mater.
Online since: March 2015
Authors: Yue Fa Fang, Ya Qiong Chen
The results show that the lift-to-drag ratio of the optimized airfoils has a improvement around the designed operating angle and the overall noise has a reduction compared with the initial airfoils, which means that the optimized airfoils get a better aerodynamic and acoustic performance.
In the optimizing process of airfoil a fast, reliable and accurate calculation method of aerodynamic performance of airfoils is needed due to a lot of airfoil data being obtained with the changes of the design variables.
Nowadays, the aerodynamic data of airfoils is obtained mainly by the viscous-nonviscous iteration method[7] considering potential flow and boundary layer, the computational fluid dynamics method(CFD) based on N-S equations[8] and wind tunnel experiments[9] and so on.
Fig.3 Comparison of lift-to-drag ratio Fig.4 Comparison of lift coefficients Figure 5 shows the comparison of the noise level of the optimized airfoil and the initial airfoil and we can see that the noise levels of the optimized airfoil have a reduction to some extent when the angle of attack changes inside the setting scope.
In the optimizing process of airfoil a fast, reliable and accurate calculation method of aerodynamic performance of airfoils is needed due to a lot of airfoil data being obtained with the changes of the design variables.
Nowadays, the aerodynamic data of airfoils is obtained mainly by the viscous-nonviscous iteration method[7] considering potential flow and boundary layer, the computational fluid dynamics method(CFD) based on N-S equations[8] and wind tunnel experiments[9] and so on.
Fig.3 Comparison of lift-to-drag ratio Fig.4 Comparison of lift coefficients Figure 5 shows the comparison of the noise level of the optimized airfoil and the initial airfoil and we can see that the noise levels of the optimized airfoil have a reduction to some extent when the angle of attack changes inside the setting scope.
Online since: June 2013
Authors: Yong Hua Chen, Jing Bo Jiang
It mainly plays the role of collecting data in motion.
Sensor data are relayed to electronics located on the platform via electro-mechanical cable.
The electronics provide data storage, and controls the height to which sensors are profiled.
This is easily achieved by employing a 10:1 mechanical reduction between the two drums.
Fig.4 shows the data curve of the experimental parameters. a) reflects the depth of CTD sensor.
Sensor data are relayed to electronics located on the platform via electro-mechanical cable.
The electronics provide data storage, and controls the height to which sensors are profiled.
This is easily achieved by employing a 10:1 mechanical reduction between the two drums.
Fig.4 shows the data curve of the experimental parameters. a) reflects the depth of CTD sensor.
Online since: October 2010
Authors: Shu Bo Li, Zhi Qiang Lan, Zhao Lu, Jin Guo
The Materials Data Inc. software Jade 5.0 and a Powder Diffraction File (PDF release 2002) were used to determine the phase relationships [6].
The hydrogen storage capacity reduction results from reduction of the main hydrogen storage phase Mg2Ni with the decrease of Ni content.
As shown in Fig.2, the fragmentation of the Mg76Ti12Ni6Cr6 alloy with milling time leads to the reduction in the particle size, to the creation of new surfaces and to the increase in the specific surface area, which corresponds to the increase in the hydrogen absorption rate[9].
Vol. 32(2007),P.2412 [6] Materials Data JADE Release 5, XRD Pattern Processing, Materials Data Inc., 1999
The hydrogen storage capacity reduction results from reduction of the main hydrogen storage phase Mg2Ni with the decrease of Ni content.
As shown in Fig.2, the fragmentation of the Mg76Ti12Ni6Cr6 alloy with milling time leads to the reduction in the particle size, to the creation of new surfaces and to the increase in the specific surface area, which corresponds to the increase in the hydrogen absorption rate[9].
Vol. 32(2007),P.2412 [6] Materials Data JADE Release 5, XRD Pattern Processing, Materials Data Inc., 1999
Online since: April 2014
Authors: Abdulhameed Alohaly, Abdullah. M Al-Shaalan, Wakeel Ahmed
Lighting
The chief contributors to energy consumption in a building are graphically illustrated below:
Fig. 2, Electrical Consumption contributors
Using eQUEST, a series of parametric simulation was conducted to acquire building energy consumption data for the daylighting.
After several runs of simulation, it was found that utilization of the natural lights implies a considerable reduction of energy needs to about 5%-7% [6, 9].
While designing actual buildings, these results can just be used as initial guidelines; however, more accurate values can be obtained by feeding real data of that particular building.
Efficient design parameters help in reduction of energy consumption by almost 20% - 30% [5].
Power Factor Full load Efficiency (%) Single Phase 0.80 40-75 Three Phase 15-50 HP 0.82 85-88 50-200 HP 0.85 88-90 200-400 HP 0.87 93 >400 HP 0.88 >93 Conclusion This study has examined the different types of buildings present in KSA based on the meteorological data using computer simulation software.
After several runs of simulation, it was found that utilization of the natural lights implies a considerable reduction of energy needs to about 5%-7% [6, 9].
While designing actual buildings, these results can just be used as initial guidelines; however, more accurate values can be obtained by feeding real data of that particular building.
Efficient design parameters help in reduction of energy consumption by almost 20% - 30% [5].
Power Factor Full load Efficiency (%) Single Phase 0.80 40-75 Three Phase 15-50 HP 0.82 85-88 50-200 HP 0.85 88-90 200-400 HP 0.87 93 >400 HP 0.88 >93 Conclusion This study has examined the different types of buildings present in KSA based on the meteorological data using computer simulation software.
Online since: January 2013
Authors: Wen Kang Liu, Wu Yuin Hwang, Shih Ching Yeh, Tzu Chuan Huang
Introduction
For rehabilitation, we have developed virtual reality related training, and in the environment, it mainly integrates related information such as voice, image and active touch and information flow of synchronous and mutiple forms, for example, the access of individual’s data according to therapy time section [1].
Under the condition the individual case stays with the therapist, the system requirement is not limited at the same location, and the data collection is to be used in creating and maintaining a shared direction.
During rehabilitation process, we can summarize the force-exerting angle and direction according to the hand’s action time of the patient so as to understand the correctness of the experimental data, and whether check point parameter is to be adjusted (Fig. 3 and 4).
The passive emotional state of the patient, after playing the virtual game, shows significant reduction.
The negative emotion in these three aspects: chaos, depression and and tension and the assessment of psychological social factor, show reduction after the completion of virtual rehabilitation mission.
Under the condition the individual case stays with the therapist, the system requirement is not limited at the same location, and the data collection is to be used in creating and maintaining a shared direction.
During rehabilitation process, we can summarize the force-exerting angle and direction according to the hand’s action time of the patient so as to understand the correctness of the experimental data, and whether check point parameter is to be adjusted (Fig. 3 and 4).
The passive emotional state of the patient, after playing the virtual game, shows significant reduction.
The negative emotion in these three aspects: chaos, depression and and tension and the assessment of psychological social factor, show reduction after the completion of virtual rehabilitation mission.
Online since: October 2010
Authors: Carlos Henrique Ataíde, Marcos A.S. Barrozo, J.M. Abreu
All signals from pressure transducers were logged into a computer via a data acquisition system and processed by LabVIEW software.
The values for standard deviation of pressure drop were recorded by the data collecting system.
However, with an increase of the vibration frequency, for the same amplitude, a reduction is noticed in the minimum vibrofluidization velocity.
The effect of frequency and vibration amplitude had a low influence on the minimum vibrofluidization velocity, noticing a small reduction when the highest level of vibration frequency was used.
An introduction to design, data analysis, and model building (edited by John Wiley and Sons, New York, 1978)
The values for standard deviation of pressure drop were recorded by the data collecting system.
However, with an increase of the vibration frequency, for the same amplitude, a reduction is noticed in the minimum vibrofluidization velocity.
The effect of frequency and vibration amplitude had a low influence on the minimum vibrofluidization velocity, noticing a small reduction when the highest level of vibration frequency was used.
An introduction to design, data analysis, and model building (edited by John Wiley and Sons, New York, 1978)
Online since: August 2016
Authors: Jean Dille, Luiz Henrique de Almeida, Carlos Angelo Nunes, Emanuel Santos Jr., Renato Baldan, Paulo Mei, Monica Castro Rezende, Leonardo Sales Araujo, Sinara Gabriel Borborema
After solution heat treatment, the alloy was swaged at 900–1000°C with 80% of reduction of area.
The phases were identified through comparison with simulated diffractograms using the program Powdercell [17], inserting data of the a, w and b-Ti phases as space groups, lattice parameters and atomic positions [18].
Data for cp Ti and Ti-6Al-4V alloy are also included in Table 2.
The advantage of hot swaging on cold swaging is to permit higher amounts of reduction of area as high as 80%.
Calvert: Pearson’s handbook of crystallographic data for intermetallic phases, second edition, Metals Park Ohio, 1991.
The phases were identified through comparison with simulated diffractograms using the program Powdercell [17], inserting data of the a, w and b-Ti phases as space groups, lattice parameters and atomic positions [18].
Data for cp Ti and Ti-6Al-4V alloy are also included in Table 2.
The advantage of hot swaging on cold swaging is to permit higher amounts of reduction of area as high as 80%.
Calvert: Pearson’s handbook of crystallographic data for intermetallic phases, second edition, Metals Park Ohio, 1991.