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Online since: October 2011
Authors: Feng Yan Dai, Wen Gang Ji, Jian Shu Cao
The long-term experimental data showed by using changed plus PID control method that the system has high precision and better reliability and it is suitable to grow large-size laser crystal.
According to the highest speed (v) of the screw and the operating speed (n) of the motor, the lead (Ph) is calculated as follows: Ph=v/(i*n) (1) The data is input, and the lead is initially defined as 5mm.
The corresponding sample data is input, the calculated torque is about 2.8 N. m.
A final choice is decided to adopt a reducer with reduction ratio of 320.
Test of the System Figure 2 to figure 5 show part of the data got from a uninterrupted test with 30 days under conditions of a set speed of 3.5mm/h controlled by the PID controller (the motor speed is 0.975μm / s) [7].
According to the highest speed (v) of the screw and the operating speed (n) of the motor, the lead (Ph) is calculated as follows: Ph=v/(i*n) (1) The data is input, and the lead is initially defined as 5mm.
The corresponding sample data is input, the calculated torque is about 2.8 N. m.
A final choice is decided to adopt a reducer with reduction ratio of 320.
Test of the System Figure 2 to figure 5 show part of the data got from a uninterrupted test with 30 days under conditions of a set speed of 3.5mm/h controlled by the PID controller (the motor speed is 0.975μm / s) [7].
Online since: June 2017
Authors: Guang Lei Liu, Zhi Lin Wang, Ya Zheng Liu, Ning Bo Zhou, Fan Zhao
It was believed that the data obtained would contribute to understand the change of 20Cr13 hot ductility at different temperature, as well as provide a foundation for designing hot forming process.
The reduction of area increased as the temperature increased from 800 °C to 1200 °C.
In temperature range of 800-950 °C, the reduction of area was 52-68%.
At 1000-1200 °C, the hot ductility is good, and the reduction of area is 82-93 %.
At 1250 °C, the hot ductility starts to get worse, and the reduction of area is 83%
The reduction of area increased as the temperature increased from 800 °C to 1200 °C.
In temperature range of 800-950 °C, the reduction of area was 52-68%.
At 1000-1200 °C, the hot ductility is good, and the reduction of area is 82-93 %.
At 1250 °C, the hot ductility starts to get worse, and the reduction of area is 83%
Online since: February 2014
Authors: Hui Fang
That is to say, at the same moment one data appears at main lode and the other datas appear at side lode.
Thus, CI code with K spreading gain can simultaneously support K transmit data on parallel sub-carriers.
CI/NC-OFDM system model A block diagram of CI/NC-OFDM base-band system transceiver is shown in Fig.1 and Fig.2.In Fig.1 at sender a high-speed data stream is transformed to modulated data by constellation mapping.
Then the serial data stream is transformed to K parallel data streams, where K is the number of activated sub-carriers.
After parallel-to-serial conversion, the final data is obtained by decoding and de-mapping.
Thus, CI code with K spreading gain can simultaneously support K transmit data on parallel sub-carriers.
CI/NC-OFDM system model A block diagram of CI/NC-OFDM base-band system transceiver is shown in Fig.1 and Fig.2.In Fig.1 at sender a high-speed data stream is transformed to modulated data by constellation mapping.
Then the serial data stream is transformed to K parallel data streams, where K is the number of activated sub-carriers.
After parallel-to-serial conversion, the final data is obtained by decoding and de-mapping.
Online since: April 2022
Authors: Laksmi Devi, Dwita Sihombing, Chrisshine Raphonita, Amesta Ramadhani
Cellular Automata (CA) is an automatic machine that processes information from pre-existing data.
The data used in this process are land cover in 2010, 2015, and 2020, distance to the existing road, distance to the airport, distance to the existing built-up area, morphology, and investment planning.
The data used is a map of predictions of land use in 2030 as a result of Cellular Automata analysis and hazard maps of floods, tsunamis, landslides, and earthquakes.
Subobjective Analysis Data Predicting built-up land by 2030 Cellular Automata Modelling Road, location of the airport, existing built-up area, morphology, and location of the investment planning.
Meanwhile, we could not classify the risk of flood due to the availability of data.
The data used in this process are land cover in 2010, 2015, and 2020, distance to the existing road, distance to the airport, distance to the existing built-up area, morphology, and investment planning.
The data used is a map of predictions of land use in 2030 as a result of Cellular Automata analysis and hazard maps of floods, tsunamis, landslides, and earthquakes.
Subobjective Analysis Data Predicting built-up land by 2030 Cellular Automata Modelling Road, location of the airport, existing built-up area, morphology, and location of the investment planning.
Meanwhile, we could not classify the risk of flood due to the availability of data.
Online since: February 2008
Authors: Dong Bin Wei, A. Kiet Tieu, Hua Chun Pi, Jing Tao Han, Zheng Yi Jiang, Hei Jie Li
The total reduction is 3 mm, corresponding to true strain 1.39 and strain rate
0.001s-1.
When the reduction is small (ε=0.29), rolling texture has strong {100}<011> sheet texture and weak {111}<112> texture.
One thousand initial orientation data were obtained by EBSD and used in ABAQUS.
Fig. 7 gives the texture development of IF steel from Taylor-type and finite element models at various reductions with 48 slip systems.
When the reduction increases, the rolling textures tend to sharper.
When the reduction is small (ε=0.29), rolling texture has strong {100}<011> sheet texture and weak {111}<112> texture.
One thousand initial orientation data were obtained by EBSD and used in ABAQUS.
Fig. 7 gives the texture development of IF steel from Taylor-type and finite element models at various reductions with 48 slip systems.
When the reduction increases, the rolling textures tend to sharper.
Online since: September 2013
Authors: Achariya Suriyawong, Phongpiti Dechasiri, Weerin Wangjiraniran
Refer to energy conservation potential of textile industry in Taiwan [6], the study is collected about saving energy data from 303 factories by the on-line Energy Declaration System (EDS) in year 2008.
Methodology To studied and collected data of energy-related GHG emission in Thailand’s textile industries.
The data were collected in several dimensions such as the fuel using in production process, production quantity, machine and technology in production process.
The type of data included the activity, economic and energy data that collected from various data sources for example, Office of the National Economic and Social Development Board (NESDB), Thailand Textile Institute, Department of Alternative Energy Development and Efficiency (DEDE) and direct survey etc.
The fuel switching scenario was considered from based year data (2011).
Methodology To studied and collected data of energy-related GHG emission in Thailand’s textile industries.
The data were collected in several dimensions such as the fuel using in production process, production quantity, machine and technology in production process.
The type of data included the activity, economic and energy data that collected from various data sources for example, Office of the National Economic and Social Development Board (NESDB), Thailand Textile Institute, Department of Alternative Energy Development and Efficiency (DEDE) and direct survey etc.
The fuel switching scenario was considered from based year data (2011).
Online since: December 2013
Authors: Irina A. Kurzina, Konstantin O. Chuprunov, Denis V. Leybo, Denis V. Kuznetsov, Natalia Kosova
The thermal treatment routine was chosen from thermogravimetric analysis data.
From the results of the analysis (Fig. 1a) the reduction treatment parameters were chosen.
It can be seen from the plot that the reduction process proceeds in several stages.
Thermal treatment routine is needed to achieve maximum surface area can be defined from collected data.
However the reduction of surface area from 7 m2/g to 3 m2/g takes place due to the sintering of the powder.
From the results of the analysis (Fig. 1a) the reduction treatment parameters were chosen.
It can be seen from the plot that the reduction process proceeds in several stages.
Thermal treatment routine is needed to achieve maximum surface area can be defined from collected data.
However the reduction of surface area from 7 m2/g to 3 m2/g takes place due to the sintering of the powder.
Online since: June 2011
Authors: An Bao Wang, Tong Wang, Qing Hua Huang
A dimensionality reduction algorithm, the so-called NPE (Neighborhood Preserving Embedding) is introduced to extract the key features from the high-dimensional space.
Data set For clearly presenting the better performance produced by the new method, a well known dataset [6] is used in our work.
NPE NPE is a linear dimensionality reduction algorithm.
The -th node corresponds to the data point.
If denotes the -th observed data point in the high dimensional space, then the d-dimensional embedding is computed by the formulation: .
Data set For clearly presenting the better performance produced by the new method, a well known dataset [6] is used in our work.
NPE NPE is a linear dimensionality reduction algorithm.
The -th node corresponds to the data point.
If denotes the -th observed data point in the high dimensional space, then the d-dimensional embedding is computed by the formulation: .
Online since: December 2012
Authors: Xin Chen, Chang Feng Gao, Xiao Hua Geng, Chen Xie
The predicted results are good in consistent with the experimental data.
The damping loss factor (DLF) can be calculated by using the formula of theory and experiences or by processing the test data.
It shows that the deviation between the measurement and simulation data using FE-SEA model in 200-1000Hz (excluding 1000Hz) is 1.7dB, which is smaller than SEA model.
The reduction 0.8354dB is better than the one in 1000-5000Hz 0.1736dB.
The weight reduction is 15.34 kg after using interlayer PMMA rather than the glass.
The damping loss factor (DLF) can be calculated by using the formula of theory and experiences or by processing the test data.
It shows that the deviation between the measurement and simulation data using FE-SEA model in 200-1000Hz (excluding 1000Hz) is 1.7dB, which is smaller than SEA model.
The reduction 0.8354dB is better than the one in 1000-5000Hz 0.1736dB.
The weight reduction is 15.34 kg after using interlayer PMMA rather than the glass.
Online since: September 2013
Authors: Dinu Vermeşan, Dan Crisan, Horia Hărăgus, Radu Prejbeanu, Dan Ioan Stoia
The significance testing (p-value) was computed for KOOS and advanced data processing was used for gait data.
Fig.1 Time schedule for patients evaluation In order to compare the biomechanical parameters measured in gait movement (knee angles and gait phases), the data recorded during the measurements was processed.
The data processing refers to the identification of the gait cycle in the recorded time series, basing on the gait events.
This data processing is a very time consuming operation due to the variability of the data in time.
Average knee joint angles in ORIF group Conclusions The data here presented shows no clear advantage in using an internal fixator over the classic plating methods at 6 months postoperatively.
Fig.1 Time schedule for patients evaluation In order to compare the biomechanical parameters measured in gait movement (knee angles and gait phases), the data recorded during the measurements was processed.
The data processing refers to the identification of the gait cycle in the recorded time series, basing on the gait events.
This data processing is a very time consuming operation due to the variability of the data in time.
Average knee joint angles in ORIF group Conclusions The data here presented shows no clear advantage in using an internal fixator over the classic plating methods at 6 months postoperatively.