Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: February 2012
Authors: Hui Qiang Zhen, Wei Jian Mi, Hou Jun Lu
Fig. 3 System framework
The data access layer will collect the different devices’ operational data and give the maintenance logic layer the unified data.
The maintenance history module is used to record the equipment maintenance and analyze the data used to predict the faults.
The maintenance system proposed by this paper develops a monitoring program that can communicate with handling equipment’s electrical control system and collect the operational status data of equipment timely by remote PC and enterprise LAN storing and analysis the data.
Fig. 5 Logic diagram of real-time status monitoring module Data Access Component.
In order to form the unified valid data, this paper designed data access component to collect the different data source’s data, meanwhile gives the relatively standardized format of information sharing.
The maintenance history module is used to record the equipment maintenance and analyze the data used to predict the faults.
The maintenance system proposed by this paper develops a monitoring program that can communicate with handling equipment’s electrical control system and collect the operational status data of equipment timely by remote PC and enterprise LAN storing and analysis the data.
Fig. 5 Logic diagram of real-time status monitoring module Data Access Component.
In order to form the unified valid data, this paper designed data access component to collect the different data source’s data, meanwhile gives the relatively standardized format of information sharing.
Online since: April 2025
Authors: H.M. Mamun Al Rashed, Aninda Nafis Ahmed, Md Nahid Rahman Nafi
The alloy was cast under an argon environment, homogenized at 400°C for 18 hours, and hot rolled at 400°C with a 15% thickness reduction.
Hot Rolling Process: The homogenized samples were hot rolled at 400°C with a 15% reduction in thickness.
So, it is a clear indication that, hot rolling at 400ᵒC results in a reduction of secondary phase particle.
Strain Rate (s-1) Temperature(ᵒC) Tensile Strength (MPa) Elongation at Failure (%) 10-4 200 65.9 8 250 39.06 3.74 300 36.70 5.20 350 12.46 6.47 5×10-4 200 74.52 6.79 250 61.58 9.17 300 45 4.61 350 40.32 12.92 Mostly, the elongation at failure increases with the rise of temperature up to a maximum before falling again with the further increase in temperature, as in data for 5×10-4 s-1, where the elongation increases from 6.79% at 200°C to 12.92% at 350°C.
Hot Rolling resulted in the reduction of porosity from 8.325% to 7% compared to that of the homogenized condition. 3.
Hot Rolling Process: The homogenized samples were hot rolled at 400°C with a 15% reduction in thickness.
So, it is a clear indication that, hot rolling at 400ᵒC results in a reduction of secondary phase particle.
Strain Rate (s-1) Temperature(ᵒC) Tensile Strength (MPa) Elongation at Failure (%) 10-4 200 65.9 8 250 39.06 3.74 300 36.70 5.20 350 12.46 6.47 5×10-4 200 74.52 6.79 250 61.58 9.17 300 45 4.61 350 40.32 12.92 Mostly, the elongation at failure increases with the rise of temperature up to a maximum before falling again with the further increase in temperature, as in data for 5×10-4 s-1, where the elongation increases from 6.79% at 200°C to 12.92% at 350°C.
Hot Rolling resulted in the reduction of porosity from 8.325% to 7% compared to that of the homogenized condition. 3.
Online since: August 2013
Authors: Li Ya Liu
(1) The conversion of the input data from the input layer
First, the input data is normalized between 0 and 1, and then the data is converted to the angle information between 0 and π/2.
Graph embedding and extensions: a general framework for dimensionality reduction [J].
Octree related Data Structures and Algorithms [J].
Graph embedding and extensions: a general framework for dimensionality reduction [J].
Octree related Data Structures and Algorithms [J].
Online since: October 2012
Authors: Qing Jie Tang, Zhi Hong Wang
Therefore, a large number of experimental data were collected so as to make theoretical research, the establishment of liquid dynamic
The experimental results and discussion
1.
And the increasing of gas production rate caused the reduction of oil production.
The experimental data of co-liquefaction is compared with the arithmetic mean to prove the promotion of lignin on co-liquefaction, the experimental results show in figure 3.2.
Fig.3.1 The effect of lignin/coal ratios on co-liquefaction Fig.3.2 The difference Experimental and Arithmetical average values In figure 3.2, the difference is positive from experimental data and the arithmetic mean, this showed that the conversion and oil yield in co-liquefaction is higher than single-coal liquefaction; co-liquefaction is lower than single-coal liquefaction about the yield of the asphaltene and pre-asphaltene.
The experimental data show that the addition of lignin promoted decomposition of the asphaltene and pre-asphaltene, the liquefaction effect of coal improved, the yield of oil increased.
And the increasing of gas production rate caused the reduction of oil production.
The experimental data of co-liquefaction is compared with the arithmetic mean to prove the promotion of lignin on co-liquefaction, the experimental results show in figure 3.2.
Fig.3.1 The effect of lignin/coal ratios on co-liquefaction Fig.3.2 The difference Experimental and Arithmetical average values In figure 3.2, the difference is positive from experimental data and the arithmetic mean, this showed that the conversion and oil yield in co-liquefaction is higher than single-coal liquefaction; co-liquefaction is lower than single-coal liquefaction about the yield of the asphaltene and pre-asphaltene.
The experimental data show that the addition of lignin promoted decomposition of the asphaltene and pre-asphaltene, the liquefaction effect of coal improved, the yield of oil increased.
Online since: March 2013
Authors: Kai Zhou, Fang Xie, Yi Tao
Introduction
The vast reduction in size and power consumption of CMOS circuitry has led to a large research effort based around the vision of ubiquitous networks of wireless sensor and communication nodes [1].
Next low-power temperature sensor and wireless module are selected and the real-time data receiving and plotting software is designed.
For the wireless sensor circuit, power supply for supplying power to the 5V circuit power consumption as its power, were tested in parallel SSHI control method of opening and closing, RF at different rates when data is transmitted power.
The piezoelectric cymbal harvesting can be used the parallel SSHI control method, the output power can be measured when control methods work and do not work. the result shows that the harvester can supply necessary energy to power wireless sensor to transmit data at a certain frequency.
Number of different array device contains cymbal can continue to work to maintain a wireless temperature sensor wireless data transmission rate of 12Hz.
Next low-power temperature sensor and wireless module are selected and the real-time data receiving and plotting software is designed.
For the wireless sensor circuit, power supply for supplying power to the 5V circuit power consumption as its power, were tested in parallel SSHI control method of opening and closing, RF at different rates when data is transmitted power.
The piezoelectric cymbal harvesting can be used the parallel SSHI control method, the output power can be measured when control methods work and do not work. the result shows that the harvester can supply necessary energy to power wireless sensor to transmit data at a certain frequency.
Number of different array device contains cymbal can continue to work to maintain a wireless temperature sensor wireless data transmission rate of 12Hz.
Online since: June 2008
Authors: Sherif El-Sayed Hussein
The fuzzy theory not only provides natural tool for describing
quantitative data but also generally produces good performance in many applications.
In addition, fuzzy rules allow to effectively classify data having non-axis-parallel decision boundaries, which is difficult for the conventional attribute-based methods [6, 7].
Besides, the resultant design takes into account the needs that can be prescribed by the physician which again can result in a need of pressure reduction in some areas.
Chan: First IEEE International Conference on Data Mining, USA, Vol. 1 (2001), pp. 35-42
Ryu: IEEE International Workshop on Integrating AI and Data Mining Australia, Vol. 1(2006), pp. 50-57.
In addition, fuzzy rules allow to effectively classify data having non-axis-parallel decision boundaries, which is difficult for the conventional attribute-based methods [6, 7].
Besides, the resultant design takes into account the needs that can be prescribed by the physician which again can result in a need of pressure reduction in some areas.
Chan: First IEEE International Conference on Data Mining, USA, Vol. 1 (2001), pp. 35-42
Ryu: IEEE International Workshop on Integrating AI and Data Mining Australia, Vol. 1(2006), pp. 50-57.
Online since: April 2013
Authors: Jamaluddin Md Sheriff, Kahar Osman, Asral Asral
CFD analysis was developed to determine the numerical data.
Validation The validation is purposed to investigate the possible model in Fluent could calculate the parameter flow related to publish data.
Comparison were made with experimental data [7] that investigate the effect of groove location on the performance of journal bearing.
The experimental seems agree well to the numerical data.
Small deviation take place is due to insufficient grid to describe the real data since amount of grid is limited by very small gap area such as the clearance of journal bearing.
Validation The validation is purposed to investigate the possible model in Fluent could calculate the parameter flow related to publish data.
Comparison were made with experimental data [7] that investigate the effect of groove location on the performance of journal bearing.
The experimental seems agree well to the numerical data.
Small deviation take place is due to insufficient grid to describe the real data since amount of grid is limited by very small gap area such as the clearance of journal bearing.
Online since: August 2011
Authors: Bin Liu, Zhi Huan Huang, Xin Fan, Hao Jie Li
Then, the femoral head's configuration is reconstructed by means of fitting using the data points on the unspoiled acetabulum lunate surface.
Then, the femoral head’s configuration is reconstructed by means of fitting using the data points on the unspoiled acetabulum lunate surface.
After obtaining the new space mesh vertex set which contains all normal data, the sphere center and the radius R of can be got by calculating the minimum value of (7).
Since (7) has a closed form solution, the following results can be educed by computing the partial derivative of (7): Experimental Results CT images of two sufferers who are suffering from avascular necrosis of femoral head are used as experimental data for the prosthetic modeling simulation: case ①,28 years old, male, Ⅰphase necrosis condition; case ②, 59 years old, male, Ⅲ phase necrosis condition.
Development of a computer-integrated femoral head fracture reduction system.
Then, the femoral head’s configuration is reconstructed by means of fitting using the data points on the unspoiled acetabulum lunate surface.
After obtaining the new space mesh vertex set which contains all normal data, the sphere center and the radius R of can be got by calculating the minimum value of (7).
Since (7) has a closed form solution, the following results can be educed by computing the partial derivative of (7): Experimental Results CT images of two sufferers who are suffering from avascular necrosis of femoral head are used as experimental data for the prosthetic modeling simulation: case ①,28 years old, male, Ⅰphase necrosis condition; case ②, 59 years old, male, Ⅲ phase necrosis condition.
Development of a computer-integrated femoral head fracture reduction system.
Online since: August 2014
Authors: Yan Zhen Cao
The intrusion data in fact is textual data.
According to the big categories, the intrusion data could be distinguished as normal data and abnormal data.
Data preprocessor was used to process or transform the large amount of audit data.
In the first step, the training data (known normal audit data and abnormal data) and testing data were converted to digital vectors which SVM classifier could recognize by data convertor.
The training data contained 5’000’000 connecting data, while the testing data contained 200’000 connecting data.
According to the big categories, the intrusion data could be distinguished as normal data and abnormal data.
Data preprocessor was used to process or transform the large amount of audit data.
In the first step, the training data (known normal audit data and abnormal data) and testing data were converted to digital vectors which SVM classifier could recognize by data convertor.
The training data contained 5’000’000 connecting data, while the testing data contained 200’000 connecting data.
Online since: July 2014
Authors: Noor A. Ahmed, Razeen F. Ahmed, Yenas Yendrew
Tests were carried out to compare the reduction of noise levels from external sources with and without the chamber.
The results obtained suggest a clear reduction of noise levels with different wind speeds, and as expected, resulted with higher reductions at higher wind tunnel speeds. 1.
Open-jet wind tunnel, however, produces shear layer that allows the wind tunnel noise to propagate to the open room, which may produce uncertainties in the measured data.
The results obtained suggest a clear reduction of noise levels with different wind speeds, and as expected, resulted with higher reductions at higher wind tunnel speeds. 1.
Open-jet wind tunnel, however, produces shear layer that allows the wind tunnel noise to propagate to the open room, which may produce uncertainties in the measured data.