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Online since: October 2011
Authors: Ying Jie Song, Cui Cui Lv
Due to the availability of statistic data, the thesis chooses gross employees in service industry as input index.
Due to the adjustment of administrative district, Chongqing and Hainan are also eliminated since historical data are unavailable.
Due to the availability of data, preliminary capital stock derives from the calculated data in transportation industry in 2004 by Liu Binlian and the depreciation rate is 5%.
Investment data from 2004 to 2008 derives from Yearbook 2000 of tertiary industry in China, 2006-2009.
“A Slacks-Based Measure of Efficiency in Data Envelopment Analysis” European Journal of Operational Research, 2001,130: 498-509
Due to the adjustment of administrative district, Chongqing and Hainan are also eliminated since historical data are unavailable.
Due to the availability of data, preliminary capital stock derives from the calculated data in transportation industry in 2004 by Liu Binlian and the depreciation rate is 5%.
Investment data from 2004 to 2008 derives from Yearbook 2000 of tertiary industry in China, 2006-2009.
“A Slacks-Based Measure of Efficiency in Data Envelopment Analysis” European Journal of Operational Research, 2001,130: 498-509
Online since: February 2014
Authors: Le Chen, Li Li, Yong Zhang
Prediction Of Natural Gas Demand Gap
By consulting data,we can get the production and consumption status of main products of advanced coal chemical industry in the past years which is shown in Figure1 and Figure2.
By referring to plenty of material, gas production of China in 1995-2012 can be obtained which are used as original data x(0) and GM (1,1) model is used to predict gas production of China in the future.
R-square:The coefficient of multiple determination.This statistic measures how successful the fit is in explaining the variation of the data.A value closer to 1 indicates a better fit.
and then to predict the demand quantity in the future,the data of 2015, 2020 and 2025 is selected,as shown in Table 7.
As there is not plenty of primary data of naphtha and dimethyl ether:data of naphtha is from 2008 to 2012 and dimethyl ether from 2006 to 2012,thus the data of 2020 obtained from grey prediction is inaccurate, so the prediction data of 2020 is obtained from trend extrapolation model rather than from combination forecasting model and the prediction data of 2015 is still obtained from combination forecasting model.Trend extrapolation is matched with linear equation.
By referring to plenty of material, gas production of China in 1995-2012 can be obtained which are used as original data x(0) and GM (1,1) model is used to predict gas production of China in the future.
R-square:The coefficient of multiple determination.This statistic measures how successful the fit is in explaining the variation of the data.A value closer to 1 indicates a better fit.
and then to predict the demand quantity in the future,the data of 2015, 2020 and 2025 is selected,as shown in Table 7.
As there is not plenty of primary data of naphtha and dimethyl ether:data of naphtha is from 2008 to 2012 and dimethyl ether from 2006 to 2012,thus the data of 2020 obtained from grey prediction is inaccurate, so the prediction data of 2020 is obtained from trend extrapolation model rather than from combination forecasting model and the prediction data of 2015 is still obtained from combination forecasting model.Trend extrapolation is matched with linear equation.
Online since: May 2014
Authors: Tobias Melz, Rainer Wagener, Wolfgang Bleck, Vera Wirths
For optimum weight reduction new materials and their fatigue behavior under real cyclic service loads have to be taken into account (Gassner test).
Figure 3: Stress-strain curves for TRIP with different cooling strategies and the reference material 42CrMo4 As the experimental gathering of cyclic material data (stress-strain curves) using strain controlled fatigue tests is very time consuming, so the much shorter Incremental Step Test is very attractive [11].
Tech., (1995), Vol. 11, 874-881 [10] Wang, J.; Van der Wolk, P.J,; Van der Zwaag, S.: Journal of Materials Science 35, (2000), 4393-4404 [11] Wagener, R.; Esderts, A.: Estimation of the strain-life curve from Incremental Step Test data, 6th International Conference On Low Cycle Fatigue, 2006, Berlin [12] Traint, S.; Pichler, A.; Heuzberger, K.; Stiaszny, P.; Werner, E.: Influence of Silicon, Aluminum, Phosphorus and Copper on the Phase Transformations of low alloy TRIP-Steels, Steel research 73, Vol. 6+7 (2002), 259-266 [13] Sonsino, C.
Figure 3: Stress-strain curves for TRIP with different cooling strategies and the reference material 42CrMo4 As the experimental gathering of cyclic material data (stress-strain curves) using strain controlled fatigue tests is very time consuming, so the much shorter Incremental Step Test is very attractive [11].
Tech., (1995), Vol. 11, 874-881 [10] Wang, J.; Van der Wolk, P.J,; Van der Zwaag, S.: Journal of Materials Science 35, (2000), 4393-4404 [11] Wagener, R.; Esderts, A.: Estimation of the strain-life curve from Incremental Step Test data, 6th International Conference On Low Cycle Fatigue, 2006, Berlin [12] Traint, S.; Pichler, A.; Heuzberger, K.; Stiaszny, P.; Werner, E.: Influence of Silicon, Aluminum, Phosphorus and Copper on the Phase Transformations of low alloy TRIP-Steels, Steel research 73, Vol. 6+7 (2002), 259-266 [13] Sonsino, C.
Online since: August 2010
Authors: Ying Wei Cheng
Through analyzing the effect factors which affect the anti-sliding
performance of the up-layer bituminous pavement, combining with the investigation data of
on-the-spot traffic volume and the testing data of on-the-spot transverse force coefficient, aiming at
"Super-12.5" up-layer bituminous pavement this paper established an attenuation model of the
anti-sliding performance.
At the same time accompanied by increasing of heavy vehicles and traffic vehicles higher speed bringing in unit of time, the surface's macroscopic texture depth decreases, and then pavement's anti-sliding capability decreases; the extent of reduction is in connection with the nature and composing of the aggregate. 2.4 Construction technology In order to ensure that the bituminous pavement has better durability in using period, we must ensure that the bituminous mixture have been compacted adequately in the construction.
Test data of the transverse force coefficients of "Super-12.5" grading Axle Load Times "x" (myriad times) SFC60 Axle Load Times "x" (myriad times) SFC60 Road Section 1 Road Section 2 Road Section 3 Average Road Section 1 Road Section 2 Road Section 3 Average 34.587 61 59 60 60.0 449.631 43 44 44 43.7 69.174 58 55 57 56.7 484.218 43 44 44 43.7 103.761 55 54 52 53.7 518.805 43 43 43 43.0 138.348 53 52 51 52.0 553.392 42 43 43 42.7 172.935 50 49 50 49.7 587.979 43 43 42 42.7 207.522 49 48 48 48.3 622.566 42 44 41 42.3 242.109 48 47 46 47.0 657.153 42 42 40 41.3 276.696 47 46 46 46.3 691.74 42 42 40 41.3 311.283 47 45 45 45.7 726.327 41 41 40 40.7 345.87 46 45 45 45.3 760.914 40 41 40 40.3 380.457 45 44 45 44.7 795.501 40 42 39 40.3 415.044 44 44 45 44.3 830.088 40 41 40 40.3 4 Establish an anti-sliding attenuation model Under the influence of the moving vehicles, the newly-built bituminous
"SPSS" software package is a kind of integrated computer-based data-processing application, and it is recognized as one of the best statistical analysis software packages.
At the same time accompanied by increasing of heavy vehicles and traffic vehicles higher speed bringing in unit of time, the surface's macroscopic texture depth decreases, and then pavement's anti-sliding capability decreases; the extent of reduction is in connection with the nature and composing of the aggregate. 2.4 Construction technology In order to ensure that the bituminous pavement has better durability in using period, we must ensure that the bituminous mixture have been compacted adequately in the construction.
Test data of the transverse force coefficients of "Super-12.5" grading Axle Load Times "x" (myriad times) SFC60 Axle Load Times "x" (myriad times) SFC60 Road Section 1 Road Section 2 Road Section 3 Average Road Section 1 Road Section 2 Road Section 3 Average 34.587 61 59 60 60.0 449.631 43 44 44 43.7 69.174 58 55 57 56.7 484.218 43 44 44 43.7 103.761 55 54 52 53.7 518.805 43 43 43 43.0 138.348 53 52 51 52.0 553.392 42 43 43 42.7 172.935 50 49 50 49.7 587.979 43 43 42 42.7 207.522 49 48 48 48.3 622.566 42 44 41 42.3 242.109 48 47 46 47.0 657.153 42 42 40 41.3 276.696 47 46 46 46.3 691.74 42 42 40 41.3 311.283 47 45 45 45.7 726.327 41 41 40 40.7 345.87 46 45 45 45.3 760.914 40 41 40 40.3 380.457 45 44 45 44.7 795.501 40 42 39 40.3 415.044 44 44 45 44.3 830.088 40 41 40 40.3 4 Establish an anti-sliding attenuation model Under the influence of the moving vehicles, the newly-built bituminous
"SPSS" software package is a kind of integrated computer-based data-processing application, and it is recognized as one of the best statistical analysis software packages.
Online since: July 2012
Authors: Hong Yan Li, Zhe Liu
GPS receiver module uses NEMA-0183 data protocol.
Furthermore, 1:5 reduction boxes are installed on the stepping motor.
The current time information of year/month/date is acquired according to the data stream of GPS receiver’s output.
Then acquire the data of the current hour/minute/second from GPS data stream and put it into formula (2) so the hour angle radian t is acquired
Software Programming The software design of system is made up of system initialization, read GPS data module, data processing module, control stepping motor turning module and position calibrating module.
Furthermore, 1:5 reduction boxes are installed on the stepping motor.
The current time information of year/month/date is acquired according to the data stream of GPS receiver’s output.
Then acquire the data of the current hour/minute/second from GPS data stream and put it into formula (2) so the hour angle radian t is acquired
Software Programming The software design of system is made up of system initialization, read GPS data module, data processing module, control stepping motor turning module and position calibrating module.
Online since: April 2012
Authors: Eustaquio García Plaza, A.R. Martin, Pedro José Núñez
Models were selected according to fit to experimental data in terms of the adjusted coefficient of determination (R2-adjusted), and the mean relative error () obtained with the validation data.
Acoustic emissions (EA) provided the model data of the time () and frequency domain () parameters.
The selection of the second order model in the frequency domain entails eliminating cutting force sensors, given that none of the associated variables were significant in the model, and considerable cost reduction and simplification of data acquisition and processing systems.
In real-time Block 7 tabulated and displayed on the screen the table of roundness error (ER) prediction data.
The best model fitting the data was the second order model with an R2-adjusted of ~77% and an of ~29%
Acoustic emissions (EA) provided the model data of the time () and frequency domain () parameters.
The selection of the second order model in the frequency domain entails eliminating cutting force sensors, given that none of the associated variables were significant in the model, and considerable cost reduction and simplification of data acquisition and processing systems.
In real-time Block 7 tabulated and displayed on the screen the table of roundness error (ER) prediction data.
The best model fitting the data was the second order model with an R2-adjusted of ~77% and an of ~29%
Online since: July 2014
Authors: Nikolay Vatin, Ekaterina Aronova, Goran Radovic, Vera Murgul
The article deals with the methods and calculations made to obtain the data on solar radiation effects on sloping surfaces oriented in different cardinal directions in regard to Saint-Petersburg weather-related conditions.
However reduction of energy consumption due to disclosure of existing energy saving opportunities is only a part of harmonization between architecture and nature.
It is possible to determine whether it is feasible to apply solar technologies if there are any data on energy efficiency (electric power generation) of solar photovoltaic modules (PV modules) and solar-based electric power system (EPS).
With this background a calculation method has been developed performing good results in regard to compliance of estimated and observed data (discrepancies do not exceed 8%).
These correction factors have been obtained on the basis of estimated and observed data made at 50 scientific stations located within the territory of the Russian Federation.
However reduction of energy consumption due to disclosure of existing energy saving opportunities is only a part of harmonization between architecture and nature.
It is possible to determine whether it is feasible to apply solar technologies if there are any data on energy efficiency (electric power generation) of solar photovoltaic modules (PV modules) and solar-based electric power system (EPS).
With this background a calculation method has been developed performing good results in regard to compliance of estimated and observed data (discrepancies do not exceed 8%).
These correction factors have been obtained on the basis of estimated and observed data made at 50 scientific stations located within the territory of the Russian Federation.
Online since: December 2010
Authors: Bin Hua, Rui Juan Zheng, Ming Chuan Zhang, Qing Tao Wu
Fig. 2 Intrusion Tolerance Model with Autonomic Feedback Mechanism
Preprocessing of Input Data.
With the operation of the system, data in the knowledge base will increase and Server can process the suspicious information more rapidly.
A total of 2,000 records are taken from the KDDcup 99 data set as the training set.
The training results are showed in Fig. 4, in which, the first 1,088 records are normal ones with an expected output of 0.99 while the others are attack data with an expected output of 0.01.
Make N represents normal data records, A abnormal data records, G the attack information that is determined, Y the suspicious information that is determined, X the reliable information that is determined, and is the proportion of normal data determined as attack information.
With the operation of the system, data in the knowledge base will increase and Server can process the suspicious information more rapidly.
A total of 2,000 records are taken from the KDDcup 99 data set as the training set.
The training results are showed in Fig. 4, in which, the first 1,088 records are normal ones with an expected output of 0.99 while the others are attack data with an expected output of 0.01.
Make N represents normal data records, A abnormal data records, G the attack information that is determined, Y the suspicious information that is determined, X the reliable information that is determined, and is the proportion of normal data determined as attack information.
Online since: March 2011
Authors: Tingrui Pei, Zhe Tao Li, Shu Yang
In protocol stack, media access control (MAC) protocol is located in data link layer.
Lightweight medium access control (LMAC) divides time into slots with a fixed frame consisting of control part and data part [6].
A node always starts by sending out control packet even if it does not have any data to send.
The length of slot is assigned according to traffic and distance for the reduction of energy consumption.
Cross-layer scheme may be proposed by exploiting control/data exchange between nodes.
Lightweight medium access control (LMAC) divides time into slots with a fixed frame consisting of control part and data part [6].
A node always starts by sending out control packet even if it does not have any data to send.
The length of slot is assigned according to traffic and distance for the reduction of energy consumption.
Cross-layer scheme may be proposed by exploiting control/data exchange between nodes.
Hygrothermal Analysis of Mineral Wool Insulated Building Constructions Based on In Situ Measurements
Online since: January 2019
Authors: Dóra Szagri, Balázs Nagy, Dániel Bakonyi
From the measured values - after checking and cleaning the data - we created hourly climate data set for further research.
Temperature and relative humidity data evaluation.
To illustrate our measured dataset from 12 October to 20 May we used data contouring.
For calculating the U-value from measured temperature data and heat flow densities, averaging method was used [4].
Using the measured data, hs surface heat transfer coefficients as well as Rs surface resistances can be obtained.
Temperature and relative humidity data evaluation.
To illustrate our measured dataset from 12 October to 20 May we used data contouring.
For calculating the U-value from measured temperature data and heat flow densities, averaging method was used [4].
Using the measured data, hs surface heat transfer coefficients as well as Rs surface resistances can be obtained.