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Online since: June 2017
Authors: Xiao Wei Yu, Wen Jun Liu, Fu Sheng Pan, Bin Jiang
The results demonstrated that the reduction of cooling rate increases the residual melt modulus, deteriorate strain and stress concentration at last stage of solidification, and decrease the hot tearing resistance of alloy finally.
With the increase of cooling rate, hot tearing susceptibility of the alloy shows a rapid reduction at beginning, and a slow decline followed.
Temperatures of the hot spot between sprue and bars were recognized by AX110 high-precision temperature data logging devices.
It can be seen that the microstructure was coarsened slightly with the reduction of cooling rate, and developed dendrites can be clearly observed at the cooling rate of 0.1 °C/s.
With the increase of cooling rate, hot tearing susceptibility of the alloy shows a rapid reduction at beginning, and a slow decline followed.
Temperatures of the hot spot between sprue and bars were recognized by AX110 high-precision temperature data logging devices.
It can be seen that the microstructure was coarsened slightly with the reduction of cooling rate, and developed dendrites can be clearly observed at the cooling rate of 0.1 °C/s.
Online since: January 2011
Authors: Ferdinand Dobeš
A more detailed inspection of the original data of McKamey et al. shows that the certain skepticisms may be due to three possible reasons:
First, an obvious discrepancy is apparent between tabulated data and their graphical presentation (cf.
This has to be solved in favor of the tabulated data.
The low values of the stress exponent do not guarantee reasonably low creep rates in extrapolating the laboratory data to service condition.
Creep data were not given.
Deviations of the data from a power-law fit are clearly evident from Figs. 1 and 2.
This has to be solved in favor of the tabulated data.
The low values of the stress exponent do not guarantee reasonably low creep rates in extrapolating the laboratory data to service condition.
Creep data were not given.
Deviations of the data from a power-law fit are clearly evident from Figs. 1 and 2.
Online since: December 2012
Authors: Ye Wu, Er Gen Gao, Ba Teer Wu
In order to get the slowness vector, we must get velocity structure; The acquisition of double difference data is lie in theoretical travel time’s acquire, the observe time can obtain from the seismic phase report.
Data and processing All of the data came from the CENC (China Earthquake Networks Center)[19], which station included national earthquake station (Fig.1) and regional guard station(Fig.2).
The time range is: from February 24, 2003 to April 30, 2004;The space range: East longitude 77.0 ° goes to 78.0 °, northern latitudes 39.0 ° go to 40.0 °.The data all acquires from the CENC website, there are total of 208 events(Fig.3).
Absolute earthquake location with differential data.
Lop Nor Revisitied: underground nuclear explosion locations,1976-1996,from double-difference analysis of regional and teleseismic data.
Data and processing All of the data came from the CENC (China Earthquake Networks Center)[19], which station included national earthquake station (Fig.1) and regional guard station(Fig.2).
The time range is: from February 24, 2003 to April 30, 2004;The space range: East longitude 77.0 ° goes to 78.0 °, northern latitudes 39.0 ° go to 40.0 °.The data all acquires from the CENC website, there are total of 208 events(Fig.3).
Absolute earthquake location with differential data.
Lop Nor Revisitied: underground nuclear explosion locations,1976-1996,from double-difference analysis of regional and teleseismic data.
Online since: August 2013
Authors: Rui Xin Hu, Wei Hu, Ze Yu Zuo, Heng Xiong, Wen Bin Du, Xiu Cai
When there are not enough SPM space to contain all the data, SPMM can swap some specific data out of SPM to main memory.
Not all the data and instructions can be allocated to SPM for the limited SPM space.
The suitable data or instruction segments are called memory objects (MO).
And the input data may have different memory access patterns.
Lindgren: Allocation of Global Data Objects in On-Chip RAM, Proc.
Not all the data and instructions can be allocated to SPM for the limited SPM space.
The suitable data or instruction segments are called memory objects (MO).
And the input data may have different memory access patterns.
Lindgren: Allocation of Global Data Objects in On-Chip RAM, Proc.
Online since: November 2012
Authors: W.H. Kao, T.S. Wei, S.Y. Liu, Y.S. Syu, P.D. Liu, Hsi Chuan Huang
For the purpose of both of reducing the workload of physical therapists and providing the quantitative data obtained during the rehabilitation process so as for physical therapist’s reference.
Moreover, a neural-network system had been introduced into this research so as to establish all the information to be a data file.
Apparently, it is done by the sensor installed on the finger so as to get the experiment data so as to know the situation of patient’s hand rehabilitation [7].
Moreover, the control microchip is linked to the temperature/ humidity sensor inside of the vapor cabinet to try to read the voltage data value so as to proceed to do the A/D transfer of setting data value, and then drive the relay module to try to control the start of inlet fan & outlet fan so as to control the temperature & humidity inside of the rehabilitation vapor cabinet eventually.
And to receive the voltage, which has been generated by the temperature & humidity sensors installed inside of the steam cabinet, and send back to microchip in order to proceed to do the A/D transfer so as to compare the transferred data value with setting data value in order to control the ON/ OFF of the inlet fan through the help of the 1/0 output of the control microchip.
Moreover, a neural-network system had been introduced into this research so as to establish all the information to be a data file.
Apparently, it is done by the sensor installed on the finger so as to get the experiment data so as to know the situation of patient’s hand rehabilitation [7].
Moreover, the control microchip is linked to the temperature/ humidity sensor inside of the vapor cabinet to try to read the voltage data value so as to proceed to do the A/D transfer of setting data value, and then drive the relay module to try to control the start of inlet fan & outlet fan so as to control the temperature & humidity inside of the rehabilitation vapor cabinet eventually.
And to receive the voltage, which has been generated by the temperature & humidity sensors installed inside of the steam cabinet, and send back to microchip in order to proceed to do the A/D transfer so as to compare the transferred data value with setting data value in order to control the ON/ OFF of the inlet fan through the help of the 1/0 output of the control microchip.
Online since: October 2010
Authors: Konstantin V. Rybalka, Luiza A. Beketaeva, Vyacheslav S. Shaldaev, Nataliya G. Bukhan’ko, Alexey D. Davydov
The larger is the database and
more precise are the data, the more valuable are the programs for calculating the corrosion rate.
To check the applicability of a model, the results, which are obtained using a model, are compared with the corrosion rate data from solution analysis and from weight loss of the specimens.
The data identification was carried out using the STOE program.
Figure 5 gives the data for several alloys, nickel and aluminum in 0.01 M NaCl solution.
In the acidified solutions, the reduction of dissolved oxygen is supplemented by the reduction of H + cations.
To check the applicability of a model, the results, which are obtained using a model, are compared with the corrosion rate data from solution analysis and from weight loss of the specimens.
The data identification was carried out using the STOE program.
Figure 5 gives the data for several alloys, nickel and aluminum in 0.01 M NaCl solution.
In the acidified solutions, the reduction of dissolved oxygen is supplemented by the reduction of H + cations.
Online since: August 2013
Authors: Yue Qiong Li, Gang Zheng
The information collection contains two parts of data before and after the repairing, at first the original data before the repairing are collected and then the data after the repairing are collected many times.
For the data collection the optimal observation sites are selected in accordance with repairing order and data collecting sites are divided into six zones, i.e.
Data processing.
According to the document management standard the data in various regions including plane survey data, high dynamical overall-view data, high definition digital image arranged.
The management software system of multimedia scenic information database is used to unifily place the collected and processed high-accuracy image data, spheric overall-view data, plan, related document and video data etc. in the visual database, which uses server as the storage terminal, to conduct storage and dissemination.
For the data collection the optimal observation sites are selected in accordance with repairing order and data collecting sites are divided into six zones, i.e.
Data processing.
According to the document management standard the data in various regions including plane survey data, high dynamical overall-view data, high definition digital image arranged.
The management software system of multimedia scenic information database is used to unifily place the collected and processed high-accuracy image data, spheric overall-view data, plan, related document and video data etc. in the visual database, which uses server as the storage terminal, to conduct storage and dissemination.
Online since: May 2012
Authors: You Peng Xu, Xi Lian Yang, Qi Qi Yang, Jin Jia Ding, Yin Kang Zhou
Taking 6 precipitation stations for daily rainfall data from 1961-2006 and using statistical analysis, linear regression, R/S method, concentration ratio and concentration period, focusing on the effects of urbanization on the long term precipitation, comparing the annual precipitation, flood season precipitation, winter precipitation, storm rainfall days and precipitation days, rainfall concentration ratio and concentration period in urban and suburban gauges, this paper probes into the effect of urbanization on local precipitation.
Data Selection and Research Method Data Selection.
Linear fitting regression analysis of the precipitation time series from 1961 to 2006 of typical cities within the area, showed in Figure 2, is conducted according to the precipitation data from 1961 to 2006 of the area.
R/S[9] analysis method is adopted to predict the variation tendency of the difference of future precipitation between urban and suburban areas, which is significant for flood disaster and urban flood prevention and disaster reduction.
Besides, different selection methods of time and space scale of the precipitation data may affect the conclusion to a certain extent, especially the urban underlying surface, the distribution and height of urban high-rise buildings, emission of anthropogenic heat source, changes of atmospheric environment factors, condensation nucleus above the city, and the influence of global climate change in recent years, etc., the influence on precipitation of urbanization is to be further discussed and analyzed.
Data Selection and Research Method Data Selection.
Linear fitting regression analysis of the precipitation time series from 1961 to 2006 of typical cities within the area, showed in Figure 2, is conducted according to the precipitation data from 1961 to 2006 of the area.
R/S[9] analysis method is adopted to predict the variation tendency of the difference of future precipitation between urban and suburban areas, which is significant for flood disaster and urban flood prevention and disaster reduction.
Besides, different selection methods of time and space scale of the precipitation data may affect the conclusion to a certain extent, especially the urban underlying surface, the distribution and height of urban high-rise buildings, emission of anthropogenic heat source, changes of atmospheric environment factors, condensation nucleus above the city, and the influence of global climate change in recent years, etc., the influence on precipitation of urbanization is to be further discussed and analyzed.
Online since: October 2014
Authors: Zhi Gang Zhu, Xin Liang, Li Guo, Shan Shan Bu, Yan Fei Su
Definition
2.1 Definition of green retrofit for commercial building
The green retrofit means that it is a process of energy efficiency improvement and carbon emissions reduction by the gradual improvement of building material and operation system.
Moreover[5] , the BIM technology provides many kinds of uncertain parameters and decision framework to replaced the usual patterns which just choose several parameters and number to align the energy-saving design. 4.2 BIM can analyze the data and integrate datum The green retrofit for existing buildings can not do without the data integration and analysis, this technology like the operation data analysis which based on the BIM and cloud-computing technology; the integration and sharing process of the data which depend on the internet, could become the support and guarantee future owners of business operation in overall control. 4.3 BIM provides a technology to product, manage and share the technical parameters The large amount of data which created in the operation process is the basic data of operation and management of the future, because BIM technology can sorte the data, refine the stages and steps , preserve and share the data very convenient.
Moreover, BIM technology also provides the fastest way of information sharing with the owners,.This function is useful to let the owner know the project situation , Its classification integration, precision analysis and data integration and sharing will be able to give the owners information support, and become crucial of decision-making in the owners” operation management.
Conclusions (1) BIM technology can improve the accurate of data utilization In the background of Information construction in China, to the owner, the effectiveness and accuracy of information means more profit and less risk.
In the process of operation management , the owner should change its behavior from passive into active, and solve the problem before it occurs by the quick intergation of data and accurate analysis.
Moreover[5] , the BIM technology provides many kinds of uncertain parameters and decision framework to replaced the usual patterns which just choose several parameters and number to align the energy-saving design. 4.2 BIM can analyze the data and integrate datum The green retrofit for existing buildings can not do without the data integration and analysis, this technology like the operation data analysis which based on the BIM and cloud-computing technology; the integration and sharing process of the data which depend on the internet, could become the support and guarantee future owners of business operation in overall control. 4.3 BIM provides a technology to product, manage and share the technical parameters The large amount of data which created in the operation process is the basic data of operation and management of the future, because BIM technology can sorte the data, refine the stages and steps , preserve and share the data very convenient.
Moreover, BIM technology also provides the fastest way of information sharing with the owners,.This function is useful to let the owner know the project situation , Its classification integration, precision analysis and data integration and sharing will be able to give the owners information support, and become crucial of decision-making in the owners” operation management.
Conclusions (1) BIM technology can improve the accurate of data utilization In the background of Information construction in China, to the owner, the effectiveness and accuracy of information means more profit and less risk.
In the process of operation management , the owner should change its behavior from passive into active, and solve the problem before it occurs by the quick intergation of data and accurate analysis.
Online since: December 2023
Authors: Meidiana Arinawati, Afifah Nur Chairinnisa, Cornelius Satria Yudha, Agus Purwanto, Miftakhul Hakam, Rheina Jelita Adristy
Differential Thermal Analysis/Thermal Gravimetry (DTA/TG) was performed to determine the amount of energy and mass reduction required for the calcination and sintering processes.
Furthermore, in the temperature range 169.25°C - 285.10°C is zone (b) where it can be interpreted that stage II dehydration occurs with a mass reduction of 15.933%.
Therefore, there is a significant weight reduction in zone (c), which is 42.146%.
Charge-Discharge (left) and Rate-Ability (right) Analysis of LiNi0.5Mn0.3Co0.2O2 (NMC532) The NMC532 sample rate performance data are presented in Fig 9.
In the DTA/TG test sample NMC532 there is a dehydration process in stage I with a mass reduction of 5.325%, the dehydration process in stage II takes place endothermic (-573.27 J/g) with a mass reduction of 15.933%, the calcination and sintering process results in a mass reduction of 42.146% with burning of oxalate groups (891.20 J/g) and decomposition of Li2CO3 and the formation of NMC532 (LiNi0.5Mn0.3Co0.2O2).
Furthermore, in the temperature range 169.25°C - 285.10°C is zone (b) where it can be interpreted that stage II dehydration occurs with a mass reduction of 15.933%.
Therefore, there is a significant weight reduction in zone (c), which is 42.146%.
Charge-Discharge (left) and Rate-Ability (right) Analysis of LiNi0.5Mn0.3Co0.2O2 (NMC532) The NMC532 sample rate performance data are presented in Fig 9.
In the DTA/TG test sample NMC532 there is a dehydration process in stage I with a mass reduction of 5.325%, the dehydration process in stage II takes place endothermic (-573.27 J/g) with a mass reduction of 15.933%, the calcination and sintering process results in a mass reduction of 42.146% with burning of oxalate groups (891.20 J/g) and decomposition of Li2CO3 and the formation of NMC532 (LiNi0.5Mn0.3Co0.2O2).