Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: January 2013
Authors: Ai Min Xiong, Fei Yu Li, Xuan Xie
System Integration Layer
ILon Smart Server intelligent server and data switching exchange are located in the system integration layer.
The shadow calculation module and digital meteorological station module will analysis the various data that detected by the sensor and send this data or instruction to every motor controller and intelligent server through LONWORKS bus.
This provides the most basic data to realize the intelligent control.
Currently, the system can support management functions data query, fault records, running record, partition management.
Connecting with each wall's light sensor through the advance shadow calculation module and detecting the light intensity automatically to do the multi-parameter data analysis, send the data to the central control equipment (multi-parameter data processing system).
The shadow calculation module and digital meteorological station module will analysis the various data that detected by the sensor and send this data or instruction to every motor controller and intelligent server through LONWORKS bus.
This provides the most basic data to realize the intelligent control.
Currently, the system can support management functions data query, fault records, running record, partition management.
Connecting with each wall's light sensor through the advance shadow calculation module and detecting the light intensity automatically to do the multi-parameter data analysis, send the data to the central control equipment (multi-parameter data processing system).
Online since: March 2015
Authors: Xian Wei Wang, Hong Wu Qin
It has small size, low power consumption, can provide voice, data and messaging functions.
RFID Technology As the key technology, RFID is a non-contact automatic identification technology that uses radio-frequency electromagnetic fields to transfer data [5].
It has user configurable parameters like frequency channel, output power and air data rate.
The nRF24L01A supports an air data rate of 250 kbps, 1 Mbps and 2Mbps.
Fig.4 Screenshot of the web page during the road testing In addition to having above the main function, the ACCESS database is used, the design of data management form, the function of the system includes the storage management, data query and print the parameters, data statistics, system settings and other functions, the user interface layer provides the data display and control command, the remote monitoring and management of radioactive source in transport are implemented.
RFID Technology As the key technology, RFID is a non-contact automatic identification technology that uses radio-frequency electromagnetic fields to transfer data [5].
It has user configurable parameters like frequency channel, output power and air data rate.
The nRF24L01A supports an air data rate of 250 kbps, 1 Mbps and 2Mbps.
Fig.4 Screenshot of the web page during the road testing In addition to having above the main function, the ACCESS database is used, the design of data management form, the function of the system includes the storage management, data query and print the parameters, data statistics, system settings and other functions, the user interface layer provides the data display and control command, the remote monitoring and management of radioactive source in transport are implemented.
Online since: September 2014
Authors: Dong Lin Peng, Fang Yan Zheng, Shi Zheng Sun
GUMAROV [7] focused on an algorithm for determining the dynamic error based on priori data and postulated assumptions.
Precision analysis certificated that this method could effectively improve measuring accuracy, and had high actual application value. 2 Error Data Acquisition System Description Principle diagram of time-grating sensor’s error data acquisition system is shown in Fig. 1.
Acquisition of error data is a dynamic process, which is very sensitive to speed of the table.
The measured data from two sensors are sent to host computer by serial port.
Error sequenceandare both k+1 data points in a circle.
Precision analysis certificated that this method could effectively improve measuring accuracy, and had high actual application value. 2 Error Data Acquisition System Description Principle diagram of time-grating sensor’s error data acquisition system is shown in Fig. 1.
Acquisition of error data is a dynamic process, which is very sensitive to speed of the table.
The measured data from two sensors are sent to host computer by serial port.
Error sequenceandare both k+1 data points in a circle.
Online since: April 2012
Authors: Fei Fei Pang, Fen Fang Deng, Fan Gao, Fang Zhang, Rui Feng Zhang
Fig.2 showed corrosion rates comparison data (polarization current density) of Alloy 600 in different pH (2~6) solutions.
Data analysis was conducted with Origin software.
Sala B .et al .Chemistry of Sulfur in High Temperature water Reduction of Sulfates.
Data analysis was conducted with Origin software.
Sala B .et al .Chemistry of Sulfur in High Temperature water Reduction of Sulfates.
Online since: September 2013
Authors: Hong Ru Liu, Hua Zhou, Feng He
The characteristics of statistical wastewater data in the present study are listed in Table 1.
Table 1 The characteristics of the wastewater generated by the production of heavy crude oil Parameter Value pH 7.06±0.02 Temperature (°C) 55±2 Oil content (mg/L) 29.8±28.9 Sulfides (mg/L) 2.3±0.6 CODcr (mg/L) 537±166 Volatile phenols (mg/L) 0.45±0.3 Total salinity (mg/L) 4466.3 The wastewater sample described in Table 1 was taken from the settling andfiltration components of the production process for heavy crude oil. 2.2 The pilot wastewater treatment system The pilot wastewater treatment plant (Fig. 1) is composed of six concrete tanks: Figure 1 Chematic of the pilot system for anaerobic hydrolytic acidulation These bacteria were chosen based on a preliminary screening (data not shown) that demonstrated their ability to grow well at a range of higher temperatures and acidity levels, salinity levels.
Table 2 Results of the treatment of the wastewater generated by the production of heavy crude oil parameter Before treatment After treatment Reduction(%) Oil content (mg/L) 25.9 5.0 80.6 TSS (mg/L) 110 10 90.9 Sulfides (mg/L) 2.6 0 100.0 CODcr (mg/L) 362 91 74.8 Volatile phenols (mg/·L) 0.37 0 100.0 After the anaerobic and aerobic biological treatments, the fixed-film bioreactors with a 15-h hydraulic retention time (HRT) reduced COD by 74.8%, TSS by 90.9%,oil by 80.6%, and phenols and sulfides by 100%.
Table 1 The characteristics of the wastewater generated by the production of heavy crude oil Parameter Value pH 7.06±0.02 Temperature (°C) 55±2 Oil content (mg/L) 29.8±28.9 Sulfides (mg/L) 2.3±0.6 CODcr (mg/L) 537±166 Volatile phenols (mg/L) 0.45±0.3 Total salinity (mg/L) 4466.3 The wastewater sample described in Table 1 was taken from the settling andfiltration components of the production process for heavy crude oil. 2.2 The pilot wastewater treatment system The pilot wastewater treatment plant (Fig. 1) is composed of six concrete tanks: Figure 1 Chematic of the pilot system for anaerobic hydrolytic acidulation These bacteria were chosen based on a preliminary screening (data not shown) that demonstrated their ability to grow well at a range of higher temperatures and acidity levels, salinity levels.
Table 2 Results of the treatment of the wastewater generated by the production of heavy crude oil parameter Before treatment After treatment Reduction(%) Oil content (mg/L) 25.9 5.0 80.6 TSS (mg/L) 110 10 90.9 Sulfides (mg/L) 2.6 0 100.0 CODcr (mg/L) 362 91 74.8 Volatile phenols (mg/·L) 0.37 0 100.0 After the anaerobic and aerobic biological treatments, the fixed-film bioreactors with a 15-h hydraulic retention time (HRT) reduced COD by 74.8%, TSS by 90.9%,oil by 80.6%, and phenols and sulfides by 100%.
Online since: December 2014
Authors: Ren Xu
Fig.2 The model of loyalty decision-making
The example of simulation
A college is a vocational and technical college, there have a large number of employment data of students, according to the students' loyalty of these data can be divided into three level:extremely loyal Honesty, loyalty, loyalty generally, we write this three degree asrespectively.
In the initial state, , the number of customer loyalty level respectively is that (12) From the state in the process of theto, the number of customer loyalty level will be changed.We used event matrix to said three kinds of customer loyalty management strategy:a possible of new customer acquisition, loyalty degree reduction promotion and customer churn.
In the initial state, , the number of customer loyalty level respectively is that (12) From the state in the process of theto, the number of customer loyalty level will be changed.We used event matrix to said three kinds of customer loyalty management strategy:a possible of new customer acquisition, loyalty degree reduction promotion and customer churn.
Online since: January 2019
Authors: Konstantin Bakhrunov
The performed thermodynamical calculations and experiments have confirmed that the selection of a halide source (NiCl2) facilitates the production of coatings with highest quality via reduction of the quantity of residual oxygen and moist in the working chamber.
According to data of powder-based chroming, the maximum chromium content in the coating does not exceed 15%.
The discrepancy in calculated and experimental data on chrome-aluminizing in nickel chloride does not exceed 5–10%.
According to data of powder-based chroming, the maximum chromium content in the coating does not exceed 15%.
The discrepancy in calculated and experimental data on chrome-aluminizing in nickel chloride does not exceed 5–10%.
Online since: March 2013
Authors: Fang Zhang, Jin Feng Gao, Jin Feng Hao, Gui De Liu
The crack decrease the bearing capacity of the structure, and induce corrosion of reinforcement, carbonation of concrete sag of protecting coating, leakage reduction on duration indices of component and so on.
Loaded, the vertical load the force span deflection between the raw experimental data are shown in Table 1, load - deflection curve is shown in Figure 2: Table 1 Beam repair around the load and deflection development list Initial loading Loading after repair injected glue applied load(kN) mid-span deflection (0.01mm) applied load(kN) mid-span deflection(0.01mm) 25 15 25 6.5 30 20 30 8.3 35 30 35 16.5 40 40 40 21.1 50 75 49.5 37.5 57.1 124(cracking) 55.5 63.2 65 189 61 82.8(New crack appear in mid-span) 70 309 63.8 93.5 72 425 67 108 70 123.5(appear crack four) 73.3 142.6(crack one expand) 76 156.7 79.1 179 80.3 214 80.6 424.3 82 518.4 83.1 548.3 84.2 659 83.8(stable) Illustrate: the injection glue repair after loading beam failure after 401 cementing agent repair 3 days after the experimental data.
Loaded, the vertical load the force span deflection between the raw experimental data are shown in Table 1, load - deflection curve is shown in Figure 2: Table 1 Beam repair around the load and deflection development list Initial loading Loading after repair injected glue applied load(kN) mid-span deflection (0.01mm) applied load(kN) mid-span deflection(0.01mm) 25 15 25 6.5 30 20 30 8.3 35 30 35 16.5 40 40 40 21.1 50 75 49.5 37.5 57.1 124(cracking) 55.5 63.2 65 189 61 82.8(New crack appear in mid-span) 70 309 63.8 93.5 72 425 67 108 70 123.5(appear crack four) 73.3 142.6(crack one expand) 76 156.7 79.1 179 80.3 214 80.6 424.3 82 518.4 83.1 548.3 84.2 659 83.8(stable) Illustrate: the injection glue repair after loading beam failure after 401 cementing agent repair 3 days after the experimental data.
Online since: February 2011
Authors: Rong Fa Chen, Rui Zhu, Liang Gang Dai, Xian Liang Zhang, Tao Liu, Yi Pan
Previous researches showed that when the depth of decarburization is more than 0.1mm, the fatigue limit of spring decrease 50%, when the depth of decarburization is more than 0.2mm, the fatigue life of spring is in an order of magnitude reduction.
At last, comparing the actual experimental data with simulated data to verify the reliability of simulation.
At last, comparing the actual experimental data with simulated data to verify the reliability of simulation.
Online since: June 2013
Authors: Zhong Tang Wang, Fang Wang
The experiment temperature was 260°C~410°C, and the strain-rate was 0.001~10s-1, and reduction was 50%.
(3) Analysis of results According to the experiment data, the curves of and and can be obtained, seeing Fig.3-4.
According to equation (1)-(3), the coefficients (n,α,Q,A) can be determined at different strain by experiment data.
(3) Analysis of results According to the experiment data, the curves of and and can be obtained, seeing Fig.3-4.
According to equation (1)-(3), the coefficients (n,α,Q,A) can be determined at different strain by experiment data.