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Online since: November 2012
Authors: Yang Song Zhang, Ruo Yao Li, Fan Wen
The mobile station not only collects data from reference station through the data chain, but also gathers the GPS observation data, and composes the differential observations in system to perform real-time processing.
The mobile station not only collects data from reference station through the data chain, but also gathers the GPS observation data, and composes the differential observations in system to perform real-time processing.
Processing of GPS measurement data Data processing is consisted of data reduction, checking, adjustment and representation of results.
These tasks were computer-aided and thus the logged data had to be downloaded from the internal memory from a data collector into a personal computer.
Therefore, in the survey of discontinuity traces, using the GPS-RTK technology to collect field data, edit spatial data.
The mobile station not only collects data from reference station through the data chain, but also gathers the GPS observation data, and composes the differential observations in system to perform real-time processing.
Processing of GPS measurement data Data processing is consisted of data reduction, checking, adjustment and representation of results.
These tasks were computer-aided and thus the logged data had to be downloaded from the internal memory from a data collector into a personal computer.
Therefore, in the survey of discontinuity traces, using the GPS-RTK technology to collect field data, edit spatial data.
Online since: June 2014
Authors: Peng Zhang, Gang Wang, Li Ming Tian, Ya Li Zhang
We derived a rainfall erosivity map based on data from 18 meteorological stations in and around the basin using the inverse distance weighting interpolation approach.
Methods There are many models for calculating R in different regions based on annual, monthly, or daily rainfall data.
The point estimates of rainfall erosivity generated using data from the 18 meteorological stations were interpolated by means of inverse distance weighting to produce a map of erosivity for the basin.
Results and Discussion Daily Rainfall Data The rainfall database consists of data provided by the National Meteorological Information Center of China from 5 meteorological stations within the Bailong River Basin and 13 meteorological stations around the study area.
Daily rainfall data provide more detailed information on precipitation variations than yearly or monthly data, and are therefore more useful for computing rainfall erosivity (Xin et al. 2011).
Methods There are many models for calculating R in different regions based on annual, monthly, or daily rainfall data.
The point estimates of rainfall erosivity generated using data from the 18 meteorological stations were interpolated by means of inverse distance weighting to produce a map of erosivity for the basin.
Results and Discussion Daily Rainfall Data The rainfall database consists of data provided by the National Meteorological Information Center of China from 5 meteorological stations within the Bailong River Basin and 13 meteorological stations around the study area.
Daily rainfall data provide more detailed information on precipitation variations than yearly or monthly data, and are therefore more useful for computing rainfall erosivity (Xin et al. 2011).
Online since: August 2014
Authors: Lei Wang, Li Zhi Gu, Tian Qing Zheng
Experimental verification was conducted by selecting a number of test data.
A B C D E(Empty columns) Sheared zone length/mm 1 1 1 1 1 1 0.306 2 1 2 2 2 2 0.298 3 1 3 3 3 3 0.284 4 2 1 2 3 3 0.269 5 2 2 3 1 1 0.223 6 2 3 1 2 2 0.234 7 3 1 3 2 2 0.228 8 3 2 1 3 3 0.243 9 3 3 2 1 1 0.207 10 1 1 1 4 4 0.314 11 1 2 2 5 5 0.332 12 1 3 3 6 6 0.368 13 2 1 2 6 6 0.372 14 2 2 3 4 4 0.304 15 2 3 1 5 5 0.313 16 3 1 3 5 5 0.332 17 3 2 1 6 6 0.341 18 3 3 2 4 4 0.291 Therefore, the experimental data are obtained and listed in table 4.
Table 4 Data of training sample Order Punch-die clearance/mm Die radius/mm Punch roughness/µm Blanking speed/spm Sheared zone length/mm 1 0.020 0.10 0.2 300 0.306 2 0.020 0.15 0.4 500 0.298 3 0.020 0.20 0.6 700 0.284 4 0.030 0.10 0.4 700 0.269 5 0.030 0.15 0.6 300 0.223 6 0.030 0.20 0.2 500 0.234 7 0.040 0.10 0.6 500 0.228 8 0.040 0.15 0.2 700 0.243 9 0.040 0.20 0.4 300 0.207 10 0.020 0.10 0.2 900 0.314 11 0.020 0.15 0.4 1100 0.332 12 0.020 0.20 0.6 1300 0.368 13 0.030 0.10 0.4 1300 0.372 14 0.030 0.15 0.6 900 0.304 15 0.030 0.20 0.2 1100 0.313 16 0.040 0.10 0.6 1100 0.332 17 0.040 0.15 0.2 1300 0.341 18 0.040 0.20 0.4 900 0.291 The first 12 sets of data are used as training samples and behind six sets are used as test samples in training process.
A comparative graph between actual data and forecast data is made in computing process with MATLAB.Comparison and errors from experiment are given in Figs. 1 and 2.
Fig.1 Compared curves with Fig.2 Error values curve of experiment data experiment and prediction The actual value and the error comparison in the following table5.
A B C D E(Empty columns) Sheared zone length/mm 1 1 1 1 1 1 0.306 2 1 2 2 2 2 0.298 3 1 3 3 3 3 0.284 4 2 1 2 3 3 0.269 5 2 2 3 1 1 0.223 6 2 3 1 2 2 0.234 7 3 1 3 2 2 0.228 8 3 2 1 3 3 0.243 9 3 3 2 1 1 0.207 10 1 1 1 4 4 0.314 11 1 2 2 5 5 0.332 12 1 3 3 6 6 0.368 13 2 1 2 6 6 0.372 14 2 2 3 4 4 0.304 15 2 3 1 5 5 0.313 16 3 1 3 5 5 0.332 17 3 2 1 6 6 0.341 18 3 3 2 4 4 0.291 Therefore, the experimental data are obtained and listed in table 4.
Table 4 Data of training sample Order Punch-die clearance/mm Die radius/mm Punch roughness/µm Blanking speed/spm Sheared zone length/mm 1 0.020 0.10 0.2 300 0.306 2 0.020 0.15 0.4 500 0.298 3 0.020 0.20 0.6 700 0.284 4 0.030 0.10 0.4 700 0.269 5 0.030 0.15 0.6 300 0.223 6 0.030 0.20 0.2 500 0.234 7 0.040 0.10 0.6 500 0.228 8 0.040 0.15 0.2 700 0.243 9 0.040 0.20 0.4 300 0.207 10 0.020 0.10 0.2 900 0.314 11 0.020 0.15 0.4 1100 0.332 12 0.020 0.20 0.6 1300 0.368 13 0.030 0.10 0.4 1300 0.372 14 0.030 0.15 0.6 900 0.304 15 0.030 0.20 0.2 1100 0.313 16 0.040 0.10 0.6 1100 0.332 17 0.040 0.15 0.2 1300 0.341 18 0.040 0.20 0.4 900 0.291 The first 12 sets of data are used as training samples and behind six sets are used as test samples in training process.
A comparative graph between actual data and forecast data is made in computing process with MATLAB.Comparison and errors from experiment are given in Figs. 1 and 2.
Fig.1 Compared curves with Fig.2 Error values curve of experiment data experiment and prediction The actual value and the error comparison in the following table5.
Online since: March 2023
Authors: S.A. Kuzmin, D.A. Krasilnikov, A.A. Argunova, A.D. Egorova, M.V. Katsurba
In the process of two summer field tests, there were obtained data on the persistence of the strength characteristics of the material at test temperatures of -60 and + 20, fractographic studies of the initial and aged samples were carried out, as a result, it was found that the modification positively affects the durability of concrete M200.
According to the data presented in Figure 2, it can be concluded that after keeping in a cold storage (lack of solar radiation), the strength of modified samples is higher than unmodified ones, but in general it should be noted that the strength varies slightly throughout the exposure.
As a result of the conducted studies, it was found that surface treatment with Amokor KM solution causes a decrease in porosity, partial dissolution of brittle components, that is, particles, inclusions, reduction, dissolution of binding components, in a complex that contributes to homogeneity of the structure, which can cause an increase in strength properties due to increased density and increased ductility. 2.
According to the data presented in Figure 2, it can be concluded that after keeping in a cold storage (lack of solar radiation), the strength of modified samples is higher than unmodified ones, but in general it should be noted that the strength varies slightly throughout the exposure.
As a result of the conducted studies, it was found that surface treatment with Amokor KM solution causes a decrease in porosity, partial dissolution of brittle components, that is, particles, inclusions, reduction, dissolution of binding components, in a complex that contributes to homogeneity of the structure, which can cause an increase in strength properties due to increased density and increased ductility. 2.
Online since: August 2014
Authors: Philip Saratha Joanna, Ravi Divahar
Data presented include the load versus deflection curves, load versus strain curves, strength capacity, displacement ductility indices and moment versus curvature curves.
Strain gauges and LVDTs were connected to a data logger from which the readings were captured by a computer at every load intervals until failure of the beam occurred.
Fig. 8: Strength capacity of the specimens Displacement Ductility Ductility may be defined as the ability to undergo deformations without a substantial reduction in the flexural capacity of the member.
Strain gauges and LVDTs were connected to a data logger from which the readings were captured by a computer at every load intervals until failure of the beam occurred.
Fig. 8: Strength capacity of the specimens Displacement Ductility Ductility may be defined as the ability to undergo deformations without a substantial reduction in the flexural capacity of the member.
Online since: January 2012
Authors: Lian Xiang Ma, Bin Zhang, Yan He
The mechanical and thermal properties of rubber compounds were measured and the test data with SEM micrographs were analyzed to determine the suitable ratio of carbon black for the desired properties of rubber compound.
A wide variety of particulate fillers are used in the rubber industry for various purposes, of which the most important are reinforcement, reduction in material costs and improvements in processing.
It can be observed that the use of very large data sets for the fractal analysis leads to linear trend.
A wide variety of particulate fillers are used in the rubber industry for various purposes, of which the most important are reinforcement, reduction in material costs and improvements in processing.
It can be observed that the use of very large data sets for the fractal analysis leads to linear trend.
Online since: January 2012
Authors: Takashi Hiyama, Herbert Innah
The result shown that the proposed technique is simple, fast and reliable, requiring minimum data measurement and be suitable for Wide Area Monitoring System.
Within this interval, certain data will capture as input for FFT.
Actually this method not involved reference and voltage controlled buses, due to the process of matrix reduction.
Within this interval, certain data will capture as input for FFT.
Actually this method not involved reference and voltage controlled buses, due to the process of matrix reduction.
Online since: May 2011
Authors: Ji Yao, Jian Bin Xie, Zhi Yu Zhang, Long Fa Luan, Xiang Long Li
According to the supervise data of the mining blasting, the dynamic response of the slope in blasting was studied by continuum large deformation Lagrange element method, and some suggestions were proposed for following mining blasting.
According to the supervise data of the mining blasting, the dynamic response of the slope in blasting was studied by continuum large deformation Lagrange element method, and some suggestions were proposed for following mining blasting.
And the reduction of slope safety factor is cumulative with the slope continues to excavate and blast.
According to the supervise data of the mining blasting, the dynamic response of the slope in blasting was studied by continuum large deformation Lagrange element method, and some suggestions were proposed for following mining blasting.
And the reduction of slope safety factor is cumulative with the slope continues to excavate and blast.
Online since: December 2014
Authors: Zan Fang Jin, Fei Li Li, Xue Qin, Ling Xiao Chen
Water quality assessment and nitrogen pollution sources analysis of the West Lake, Hangzhou, China
Jin Zanfang, Qin Xue, Chen Lingxiao, Li Feili*
College of Biological and Environmental Engineering, Zhejiang University of Technology, Hangzhou 310032 China
First author: jinzanfang@zjut.edu.cn; *Corresponding author: lifeili@zjut.edu.cn
Keywords: Water quality assessment, nitrate, nitrogen isotope, the West Lake
Abstract: Single factor water quality identification index (SFWQII) and Comprehensive water quality identification index (CWQII) were applied to the data of 6 parameters for water quality of West Lake at 10 different sites and 4 main inflows in the West Lake basin, generated during March 2012 to February 2013.
The obtained data set is subjected to SFWQII and CWQII methods to classify the levels of the water bodies and detect the sources of nitrogen pollutants in West Lake by the method of stable isotopes.
But in July, nutrients in lake water declined with the absorption of aquatic plants and the reduction of the rainfall.
The obtained data set is subjected to SFWQII and CWQII methods to classify the levels of the water bodies and detect the sources of nitrogen pollutants in West Lake by the method of stable isotopes.
But in July, nutrients in lake water declined with the absorption of aquatic plants and the reduction of the rainfall.
Online since: October 2014
Authors: Shan Gang Wang, Pei Yan Zhan, Hai Bin Xu
PLC control pneumatic solenoid valve action, fixed both ends of the square steel tube, so that testing data have a baseline; then PLC control servo motor drag inspection car drive.
The maximum deflection or near of square steel as the pressure point pressure on the two support points that symmetrical to the pressure point distribution as far as possible; input total reduction (straightening stroke and direction) through the touch screen, send to the PLC, start the correcting button.
On the display there are administrator rights, square steel tube bending curve and scale, each measuring curve comparison, mobile caliper, sending the correct amount to PLC, test data, and so on.
When finish it, the PLC send signal to test car to test, and the test car start testing and show the test data on the IPC touch screen.
Table 1 PLC communication parameter setting The PLC receives data VD230 Instructions To send data Vb101 PLC Instructions 10 PLC and PC communication is normal; Laser displacement sensor initialization is completed 10 Check whether the communication is normal; Initializes the laser displacement sensor 18 PC laser displacement sensor data acquisition and data processing >100 Specific correction data volume 19 Correct amount no incoming PLC, alarm Table2 Industrial PC communication parameter setting PC receives the data Instructions PC data sending data Instructions 10 Testing the car starting position error;Initializes the laser displacement sensor 10 PLC and PC communication is normal;Laser displacement sensor initialization is completed 18 Laser displacement sensor data acquisition and data processing 19 Correct amount no incoming PLC, alarm >100 Correct amount of data transformation: transmitting data = 5000 + - (actual amount corrective/(10/398), rounded integer), amount is
The maximum deflection or near of square steel as the pressure point pressure on the two support points that symmetrical to the pressure point distribution as far as possible; input total reduction (straightening stroke and direction) through the touch screen, send to the PLC, start the correcting button.
On the display there are administrator rights, square steel tube bending curve and scale, each measuring curve comparison, mobile caliper, sending the correct amount to PLC, test data, and so on.
When finish it, the PLC send signal to test car to test, and the test car start testing and show the test data on the IPC touch screen.
Table 1 PLC communication parameter setting The PLC receives data VD230 Instructions To send data Vb101 PLC Instructions 10 PLC and PC communication is normal; Laser displacement sensor initialization is completed 10 Check whether the communication is normal; Initializes the laser displacement sensor 18 PC laser displacement sensor data acquisition and data processing >100 Specific correction data volume 19 Correct amount no incoming PLC, alarm Table2 Industrial PC communication parameter setting PC receives the data Instructions PC data sending data Instructions 10 Testing the car starting position error;Initializes the laser displacement sensor 10 PLC and PC communication is normal;Laser displacement sensor initialization is completed 18 Laser displacement sensor data acquisition and data processing 19 Correct amount no incoming PLC, alarm >100 Correct amount of data transformation: transmitting data = 5000 + - (actual amount corrective/(10/398), rounded integer), amount is