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Online since: March 2015
Authors: Ling Hong Wei, Cheng Zhi Chang, Ping Hong Wei
Urban Intelligent public transport
Ministry of Transport of the People’s Republic of China make clear in the "Twelve-Five" period to carry out "urban public transport intelligent application demonstration project" completed "a system, a Center, the three major platforms", a system where public transport running status monitoring system, a central resource centre public transport data, the three major platforms: public transit monitoring platform, public transport operation and dispatch management system and public transportation information service system.
Low carbon transportation system Ministry of Transport of the People’s Republic of China carry out the "national low carbon transport system-building demonstration project", selected a total of 26 cities which low carbon transport system demonstration cities and 10 regional pilot in two-years.Central financial investment in energy conservation and emissions reduction Fund every year, subsidies for energy saving and emission reduction projects.Transport Department also encourages the national bicycle and pedestrian system of urban construction, and construction of Taiyuan City, Hangzhou public bicycle system by the majority of the public's favorite, a good solution to the last mile connection problems on public transport.
Low carbon transportation system Ministry of Transport of the People’s Republic of China carry out the "national low carbon transport system-building demonstration project", selected a total of 26 cities which low carbon transport system demonstration cities and 10 regional pilot in two-years.Central financial investment in energy conservation and emissions reduction Fund every year, subsidies for energy saving and emission reduction projects.Transport Department also encourages the national bicycle and pedestrian system of urban construction, and construction of Taiyuan City, Hangzhou public bicycle system by the majority of the public's favorite, a good solution to the last mile connection problems on public transport.
Online since: August 2013
Authors: Yi Xiang Yuan, Peng Fu Xie, Wen Yu Cao, Cong Chen, Chao Yu, De Jun Zhan, Chun Qing Tan
In contrast with the experimental data of device B, and the result shows that the lean blowout performance of the device A is superior to the device B at low operating condition.
Especially, the airflow from the primary holes, which has a great impact on the main combustion zone, is divided into multiple parts to achieve a reduction in the size of the main recirculation zone, strengthen the local combustion and reduce the lean blowout limit value.
Table 2 Lean blowout data of devices A, B Test scheme Inlet air flow rate[m3/h] Fuel gas flow rate[L/min] Excess air coefficient SA 115 10 20.1 SB 70.17 15 8.19 In Table 2, the scheme SA is for device A; scheme SB is for device B.
Especially, the airflow from the primary holes, which has a great impact on the main combustion zone, is divided into multiple parts to achieve a reduction in the size of the main recirculation zone, strengthen the local combustion and reduce the lean blowout limit value.
Table 2 Lean blowout data of devices A, B Test scheme Inlet air flow rate[m3/h] Fuel gas flow rate[L/min] Excess air coefficient SA 115 10 20.1 SB 70.17 15 8.19 In Table 2, the scheme SA is for device A; scheme SB is for device B.
Online since: September 2013
Authors: Li Dong Wang, Ying Zhao, Ni Zhang
An improved adaptive algorithm for INS/GPS system
Lidong Wang1,a ,Ying Zhao1,b,Ni Zhang2,c
1Electronic and Information Engineering College, University of Science and Technology Liaoning
Anshan, Liaoning , 114051,China
2Anshan Haihui Automation Company, Anshan, Liaoning , 114051,China
awangld5600@163.com , brebeccazhao0217@126.com, c15712367@qq.com
Keywords: Kalman filter, adaptive-filter, Sage-Husa algorithm, INS/GPS
Abstract: In INS/GPS system, the changing of initial conditions and the quality of the data can affect the convergence of the conventional Kalman filter algorithm.
Algorithm introduction Conventional Kalman filtering algorithm Kalman filter is a linear optimal recursive data processing algorithm.
Kannel: Design and Testing of an Intelligent GPS Tracking Loops for Noise Reduction and High Dynamics Applications.
Algorithm introduction Conventional Kalman filtering algorithm Kalman filter is a linear optimal recursive data processing algorithm.
Kannel: Design and Testing of an Intelligent GPS Tracking Loops for Noise Reduction and High Dynamics Applications.
Online since: October 2010
Authors: Sheng Le Ren, Guang Fei Wu, Yi Nan Lai, Jun Tao Gu, Zeng Lou Li
Sample Data Acquisition and Processing.
The sample data acquisition and processing including sources of initial data samples, determination of input and output, design of the total sample network and pretreatment of input and output data.
Sources of Initial Data Samples.
Finally, 224 sets of data were selected as the training sample set, 96 sets of data as the test sample set.
Pretreatment of Input and Output Data.
The sample data acquisition and processing including sources of initial data samples, determination of input and output, design of the total sample network and pretreatment of input and output data.
Sources of Initial Data Samples.
Finally, 224 sets of data were selected as the training sample set, 96 sets of data as the test sample set.
Pretreatment of Input and Output Data.
Online since: August 2013
Authors: Gui Lin Zheng, Zhen Jie Wang
However, these large pumping stations have played an extremely important role in the construction and development of China's national economy and the disaster prevention and reduction.
Even if the server malfunctions, the lost data can be made up from the USB storage unit into the database, which ensures the integrity of the data effectively and provides a strong guarantee for the scientific forecast.
Data collection, calculation, policy control and segmented protection are completed in field that improve the speed of response of the measure and control system.
Table 1 Priority of CAN-Bus data types Data types Priority Trip protection data First Limitation alarm data Second Control commands data Third Power data Fourth Non-power data Fifth The structure by laying a large number of cables is taken replace by the one with low-cost twisted pair wiring, which is economically beyond traditional measure and control system of pumping station auxiliary equipments.
[6] Ying Li, Weidong Wang and Shibin Wei: Data Transmission System Design of Digital Sensor in Track Inspection System Based on CAN Bus.
Even if the server malfunctions, the lost data can be made up from the USB storage unit into the database, which ensures the integrity of the data effectively and provides a strong guarantee for the scientific forecast.
Data collection, calculation, policy control and segmented protection are completed in field that improve the speed of response of the measure and control system.
Table 1 Priority of CAN-Bus data types Data types Priority Trip protection data First Limitation alarm data Second Control commands data Third Power data Fourth Non-power data Fifth The structure by laying a large number of cables is taken replace by the one with low-cost twisted pair wiring, which is economically beyond traditional measure and control system of pumping station auxiliary equipments.
[6] Ying Li, Weidong Wang and Shibin Wei: Data Transmission System Design of Digital Sensor in Track Inspection System Based on CAN Bus.
Online since: October 2013
Authors: Yang Zhang, Yong Feng Qi
Beneficial exploration is made for providing more detailed and accurate data for the designer.
Therefore, a refined heat exchange model should be established to get the dynamic design data.
As shown in Fig. 3, the experiment platform includes a heat exchange test block, thermostatic water tank, data acquisition instrument and the pipe circulatory system.
Then a linear formula to describe relation of the thermal diffusivity and the temperature was put forward by fitting the data in file [5].
The suggested algorithm, which will provide more detailed data, can be applied in the design of the soil source heat pump system.
Therefore, a refined heat exchange model should be established to get the dynamic design data.
As shown in Fig. 3, the experiment platform includes a heat exchange test block, thermostatic water tank, data acquisition instrument and the pipe circulatory system.
Then a linear formula to describe relation of the thermal diffusivity and the temperature was put forward by fitting the data in file [5].
The suggested algorithm, which will provide more detailed data, can be applied in the design of the soil source heat pump system.
Online since: July 2015
Authors: Dan Sorin Comsa, Dorel Banabic, Lucian Lazarescu
These FLCs were compared with the experimental data obtained from the Nakazima test and a double blank bulge test, recently proposed by the authors [12].
Figure 1.a shows a comparison between the hardening curves described by Swift and Voce laws and the experimental data.
The BBC 2005-8 yield criterion uses all eight experimental data listed in Table 1.
From Figure 5, one may observe that the predictions correlate much better with the experimental data when using Swift hardening law (Fig. 5.a) in comparison with the Voce approximation (Fig. 5.b).
As one may observe from the two diagrams, the versions of identification with 7 and 8 input data provide better predictions than the version with 6 parameters, mainly in the case of MK model.
Figure 1.a shows a comparison between the hardening curves described by Swift and Voce laws and the experimental data.
The BBC 2005-8 yield criterion uses all eight experimental data listed in Table 1.
From Figure 5, one may observe that the predictions correlate much better with the experimental data when using Swift hardening law (Fig. 5.a) in comparison with the Voce approximation (Fig. 5.b).
As one may observe from the two diagrams, the versions of identification with 7 and 8 input data provide better predictions than the version with 6 parameters, mainly in the case of MK model.
Online since: February 2013
Authors: Naděžda Klabusayová
In the area of the reception of goods, the article deals with the utilization of the Electronic Data Interchange for the Despatch Advice (EDI DESADV) in combination with the exploitation of the Serial Shipping Container Code (SSCC) during the goods reception.
Manual receiving by “pencil-paper” and then the data having been put into the information system becomes of disuse because obviously the usage of modern technologies is indisputable.
SSCC codes can be used when receiving the goods out of the suppliers, who already are communicated by EDI (Electronic Data Interchange) messages.
There is an option to achieve even higher effectiveness in combination with electronic bill of delivery by EDI communication (Electronic Data Interchange).
Accuracy of elaborated data is of 99,9%.
Manual receiving by “pencil-paper” and then the data having been put into the information system becomes of disuse because obviously the usage of modern technologies is indisputable.
SSCC codes can be used when receiving the goods out of the suppliers, who already are communicated by EDI (Electronic Data Interchange) messages.
There is an option to achieve even higher effectiveness in combination with electronic bill of delivery by EDI communication (Electronic Data Interchange).
Accuracy of elaborated data is of 99,9%.
Online since: July 2014
Authors: Pierfrancesco de Paola, Vincenzo del Giudice
In this paper the Capital Asset Pricing Model has been integrated with Penalized Spline Semiparametric Method in order to obtain an algorithm that allows to rationalize the appraisal of undivided real estate shares using easily accessible data.
These issues imposes the need to search a logical solution capable to rationalize the appraisal of undivided real estate shares, considering that these shares have more difficulty to selling and a reduction of their market value [2].
Data description and empirical analysis The described model in previous section was implemented on the basis of data relating to a time period from the second semester of 2002 to the second semester of 2013.
-57,280% 14274 3,698% 2012 (II) 104,419 106,060 -52,850% 16273 2013 (I) 101,705 113,410 -46,330% 15239 2,091% 2013 (II) 99,825 126,530 -42,330% 18968 In the analysis there are six-month data results because in real estate markets and in real estate funds closed the investments and strategies choices happen on wide time horizons [12,13].
In particular, the amounts of mean percentage error (0,53%) and average standard error (0,68%) are acceptable because estimated values show a trend in line with observed data, also the residual analysis shows no anomalies.
These issues imposes the need to search a logical solution capable to rationalize the appraisal of undivided real estate shares, considering that these shares have more difficulty to selling and a reduction of their market value [2].
Data description and empirical analysis The described model in previous section was implemented on the basis of data relating to a time period from the second semester of 2002 to the second semester of 2013.
-57,280% 14274 3,698% 2012 (II) 104,419 106,060 -52,850% 16273 2013 (I) 101,705 113,410 -46,330% 15239 2,091% 2013 (II) 99,825 126,530 -42,330% 18968 In the analysis there are six-month data results because in real estate markets and in real estate funds closed the investments and strategies choices happen on wide time horizons [12,13].
In particular, the amounts of mean percentage error (0,53%) and average standard error (0,68%) are acceptable because estimated values show a trend in line with observed data, also the residual analysis shows no anomalies.
Online since: May 2012
Authors: J. Gul, S. Mirza
Moreover, no significant reduction in density of EPDM was obtained instead of compounding with lower specific gravity cork powder.
BEM result of ablation data ID Weight (g) Thickness, mm Ablation Before test After test Without char Char Before test After test mm 25 Phr asbestos 82.395 78.71 77.99 3.7 6.5 5.84 0.72 10 Phr cork 79.03 69.5 68.2 1.3 6.06 5.28 0.78 20 Phr cork 78.32 67.2 66.4 0.8 6.13 5.29 0.84 50 Phr cork 77.74 66.4 65.4 0.6 6.14 5.17 0.96 Fig. 6.
No significant reduction in specific gravity of silica-EPDM composite was observed upon compounding with cork.
BEM result of ablation data ID Weight (g) Thickness, mm Ablation Before test After test Without char Char Before test After test mm 25 Phr asbestos 82.395 78.71 77.99 3.7 6.5 5.84 0.72 10 Phr cork 79.03 69.5 68.2 1.3 6.06 5.28 0.78 20 Phr cork 78.32 67.2 66.4 0.8 6.13 5.29 0.84 50 Phr cork 77.74 66.4 65.4 0.6 6.14 5.17 0.96 Fig. 6.
No significant reduction in specific gravity of silica-EPDM composite was observed upon compounding with cork.