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Online since: December 2012
Authors: Yin Huang, Meng Jun Wang
Historical data is used to investigate the energy consumption in BRIC Countries from 1990 to 2009.
CO2 emissions in transportation sector of BRIC Countries Because the statistical data on energy consumption for transportation sector is not collected in Yearbook., the following formula proposed is used to estimate CO2 emissions in BRIC Countries.
In BRIC Countries, the data, spanning from 1990 to 2009 used in this study, have been collected from various issues of the Statistical Yearbook and Yearbook of Transportation and communications [4].
Fig.3.The CO2 emission of each sub-sector in transportation form 1990-2009 Source: ITF《Transport Greenhouse Gas Emissions: Country Data 2010》 (2010) 4.
With the deepening of theoretical research, the change of the international environment and the practical demand from energy saving and emission reduction, the government is becoming the guide and participant in the construction of low carbon transport.
CO2 emissions in transportation sector of BRIC Countries Because the statistical data on energy consumption for transportation sector is not collected in Yearbook., the following formula proposed is used to estimate CO2 emissions in BRIC Countries.
In BRIC Countries, the data, spanning from 1990 to 2009 used in this study, have been collected from various issues of the Statistical Yearbook and Yearbook of Transportation and communications [4].
Fig.3.The CO2 emission of each sub-sector in transportation form 1990-2009 Source: ITF《Transport Greenhouse Gas Emissions: Country Data 2010》 (2010) 4.
With the deepening of theoretical research, the change of the international environment and the practical demand from energy saving and emission reduction, the government is becoming the guide and participant in the construction of low carbon transport.
Online since: March 2015
Authors: Marion Merklein, Emanuela Affronti, Andreas Maier, Daniel Kinnstätter, Christian Jaremenko
First, the data set is split into a training set and a test set.
In this study, a random data subset has been chosen to build random forest classifiers.
Therefore there are less training data that present instable behaviour and thus the classification by using one training data set delivered worse results.
The absolute error in frames is sometimes slightly higher using the complete training data.
But it can influence the sequence length of the data.
In this study, a random data subset has been chosen to build random forest classifiers.
Therefore there are less training data that present instable behaviour and thus the classification by using one training data set delivered worse results.
The absolute error in frames is sometimes slightly higher using the complete training data.
But it can influence the sequence length of the data.
Online since: September 2013
Authors: Firza Utama Sjarifudin
This paper also proposes a camshaft mechanism system to transform the pattern of traditional ornament that uses pre-programmed analysis data of environmental changes to parametrically drive the number of rotation phase and Lobe Lift that generates the shape of camshaft.
Location setting was in Jakarta, Indonesia (6.16 S, 106.48W), and the weather data was taken from 2008.
These settings were done in the microcontroller that collected input data from Grasshopper (Fig. 3) with Firefly plug-in [5] that connects the data from Grasshopper to microcontroller to drive the servo motor.
In terms of cost-reduction, the application of this system on general buildings (non high profile building) could be applied, so that more users could experience the benefits and advantages of adaptive building skin system.
Location setting was in Jakarta, Indonesia (6.16 S, 106.48W), and the weather data was taken from 2008.
These settings were done in the microcontroller that collected input data from Grasshopper (Fig. 3) with Firefly plug-in [5] that connects the data from Grasshopper to microcontroller to drive the servo motor.
In terms of cost-reduction, the application of this system on general buildings (non high profile building) could be applied, so that more users could experience the benefits and advantages of adaptive building skin system.
Online since: August 2018
Authors: Wassana Wichai, Surachai Dechkunakorn, Niwat Anuwongnukroh, Pitchaya Roongrujimek, Kanin Nimcharoensuk
The data were analyzed by Kruskal-Wallis test for comparing materials and Friedman test for comparing the time periods.
It could be found from their manufacture’s materials safety data sheets that Grengloo has the most various types of chemical compositions.
Green glue materials safety data sheet specified only 5% epoxy resin (which could be BISGMA or another) and 25% TEGDMA.
While Transbond XT materials safety data sheet specified 10-20% BISGMA, this higher content of bulky BISGMA could explain the lowest DC to Transbond XT.
Time reduction of light curing: Influence on conversion degree and microhardness of orthodontic composites.
It could be found from their manufacture’s materials safety data sheets that Grengloo has the most various types of chemical compositions.
Green glue materials safety data sheet specified only 5% epoxy resin (which could be BISGMA or another) and 25% TEGDMA.
While Transbond XT materials safety data sheet specified 10-20% BISGMA, this higher content of bulky BISGMA could explain the lowest DC to Transbond XT.
Time reduction of light curing: Influence on conversion degree and microhardness of orthodontic composites.
Online since: August 2013
Authors: Benedetto Manganelli
The reduction due to income decay is the effect of the lesser utility of an asset already in use compared to the corresponding new.
In this paper, “depreciation” means a reduction in value due to increasing age, decay, natural wear and tear, or functional obsolescence of a fixed asset.
For other parameters involved in the evaluation of convenience to carry out maintenance, there are cases with databases that provide albeit with some limitations highlighted below, information on data’s probability.
The estimation of actual maintenance expenditures is objectively hard in relation also to: 1) the very long average life of the components maintained; that makes hard acquiring data in satisfying amount able to be treated in probabilistic terms; 2) the high variability of the useful life and the frequency of maintenance depending on the use of parts (or the entire building), and environmental conditions; 3) the continuous innovation in construction techniques and materials (in restoration and maintenance), that makes a prediction uncertain about the new components’ life duration.
This is due to the lack of adequate and structured data.
In this paper, “depreciation” means a reduction in value due to increasing age, decay, natural wear and tear, or functional obsolescence of a fixed asset.
For other parameters involved in the evaluation of convenience to carry out maintenance, there are cases with databases that provide albeit with some limitations highlighted below, information on data’s probability.
The estimation of actual maintenance expenditures is objectively hard in relation also to: 1) the very long average life of the components maintained; that makes hard acquiring data in satisfying amount able to be treated in probabilistic terms; 2) the high variability of the useful life and the frequency of maintenance depending on the use of parts (or the entire building), and environmental conditions; 3) the continuous innovation in construction techniques and materials (in restoration and maintenance), that makes a prediction uncertain about the new components’ life duration.
This is due to the lack of adequate and structured data.
Online since: November 2011
Authors: Stanley A. Mungwe, Andreas Hein
This means that after a registration and calibration, actual positions of patient and surgical tools are interpreted as spatial data in relation to the plan data.
The plan data in our experimental study is represented by the preoparative planner.
Results of the analysis between the predefined path and the sensor data are sent to the embeded fuzzy con- troller.
The input data to the fuzzy controller is the position error and the rate of change of the position error.
With discrete time data, the area of the curve was approximated with the following formula [20]: (1) where e (k) is the error at time k and the area between two data points is approximated to a trapezium.
The plan data in our experimental study is represented by the preoparative planner.
Results of the analysis between the predefined path and the sensor data are sent to the embeded fuzzy con- troller.
The input data to the fuzzy controller is the position error and the rate of change of the position error.
With discrete time data, the area of the curve was approximated with the following formula [20]: (1) where e (k) is the error at time k and the area between two data points is approximated to a trapezium.
Online since: June 2013
Authors: Ling Di Zhao, Qing Hao
Therefore, our paper uses the data of the oil consumption and employment of twenty provinces and cities.
All data are from Statistical Yearbook of every province and city.
This method is based on the fact that the future data can’t lead to the changes of present data and past data.
The data are from 2000 to 2010.
All data are transformed into logarithms, thus eliminating heteroscedasticity and making the model more practical.
All data are from Statistical Yearbook of every province and city.
This method is based on the fact that the future data can’t lead to the changes of present data and past data.
The data are from 2000 to 2010.
All data are transformed into logarithms, thus eliminating heteroscedasticity and making the model more practical.
Online since: July 2013
Authors: Peng Xiao Chen, Shao Hong Shen, Xiong Fei Wen
The Database Management Software Oracle is used to store and manage related spatial data
The 1:5000 scaled DEM in the year 2002 is used as historical data and GPS-RTK measured plane and elevation coordinate are applied to produce 2012 terrain data in which the spatial interpolation algorithm in ArcGIS data interpolation model is used. 3.
The remote sensing dynamic monitoring for the channel occupied areas 3.1 Data preprocessing and data analysis Monitoring of channel occupied area and calculation of the volume of channel occupied area in the study reservoir area is based on analysis and calculation of high resolution terrain data, multi-temporal high-resolution remote sensing images and GPS measurement data of the reservoir area.
(6) Coordinate System: Beijing 54 coordinate systems are used in all the spatial data
It includes image enhancement, image filtering, image reduction, image mosaic, geometric correction and radiometric correction.
The 1:5000 scaled DEM in the year 2002 is used as historical data and GPS-RTK measured plane and elevation coordinate are applied to produce 2012 terrain data in which the spatial interpolation algorithm in ArcGIS data interpolation model is used. 3.
The remote sensing dynamic monitoring for the channel occupied areas 3.1 Data preprocessing and data analysis Monitoring of channel occupied area and calculation of the volume of channel occupied area in the study reservoir area is based on analysis and calculation of high resolution terrain data, multi-temporal high-resolution remote sensing images and GPS measurement data of the reservoir area.
(6) Coordinate System: Beijing 54 coordinate systems are used in all the spatial data
It includes image enhancement, image filtering, image reduction, image mosaic, geometric correction and radiometric correction.
Online since: July 2013
Authors: Yang Jia, Qiang Fu, Du Shi Ma, Ming Yang Zhu
Therefore it is suitable for long distance data communication.
The maximum data rate of the channel is limited by channel bandwidth.
Computing of Data Flow Information collected by different FTU is different, the protocol adopted is different, the data refresh cycle and the generated data are all different.
The remote signal information is set lower than 1s, and the entire refresh data is set lower than 5s by data communication between the data communication of distribution terminals and master backbone through backbone net and branch network.
Fast refresh method is used to refresh data, for remote signal transposed fast refresh is set lower than 0.02s, full data refresh is set lower than 0.1s.
The maximum data rate of the channel is limited by channel bandwidth.
Computing of Data Flow Information collected by different FTU is different, the protocol adopted is different, the data refresh cycle and the generated data are all different.
The remote signal information is set lower than 1s, and the entire refresh data is set lower than 5s by data communication between the data communication of distribution terminals and master backbone through backbone net and branch network.
Fast refresh method is used to refresh data, for remote signal transposed fast refresh is set lower than 0.02s, full data refresh is set lower than 0.1s.
Online since: May 2011
Authors: Qiang Guo, Jing Kui Qu, Bing Bing Han, Guang Ye Wei, Tao Qi
The 99.5% Cr2O3 was obtained from Na2CrO4 leached in the alkali solution by liquid-phase reduction and then calcining at high temperature.
Furthermore, for some cases of solid–liquid reactions which could not be explained by these models, the semi-empirical Avrami-type equation has been successfully used to explain kinetic data [18,19].
The application of the above models to the experimental data will help to find the kinetics of the dechromization.
The Cr2O3 was obtained from Na2CrO4 leached in the alkali solution by liquid-phase reduction and then calcining at high temperature.
Furthermore, for some cases of solid–liquid reactions which could not be explained by these models, the semi-empirical Avrami-type equation has been successfully used to explain kinetic data [18,19].
The application of the above models to the experimental data will help to find the kinetics of the dechromization.
The Cr2O3 was obtained from Na2CrO4 leached in the alkali solution by liquid-phase reduction and then calcining at high temperature.