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Online since: May 2021
Authors: Sabrina M. Yahaya, Ismaliza Ismail, Mohamad Kamal Harun, Ramli Rosmamuhamadani
Blue line for experimental data whilst red line for the fitting results.
The displayed data shows a departure from Model A circuit.
Hence, Model B was introduced to fit the data.
Blue line for experimental data whilst red line for fitting results.
Blue line for experimental data whilst red line for fitting results.
The displayed data shows a departure from Model A circuit.
Hence, Model B was introduced to fit the data.
Blue line for experimental data whilst red line for fitting results.
Blue line for experimental data whilst red line for fitting results.
Online since: July 2014
Authors: Qiang Wang, Yong Bao Liu, Xing He, Shu Yong Liu, Jian Hua Liu
Principal Component Analysis (PCA) is a very effective and popular unsupervised data-driven multivariate statistical method for feature extraction, dimensionality reduction and process monitoring.
represents the kernel matrix for the testing data points.
The specification of bearing data is listed in Table.1.
Integration of these feature attribute data, a total of 120 sets of data were four categories, as fault diagnosis of input data.
Raw data As indicated in Figure12 bearing the four fault signal data, inner ring fault level two data signal and inner ring fault level three data signals, bearing the lap data for a sample of (512), the above equation 12-24 , 13 characteristic parameters, feature extraction, training sample were 120 groups, training and test samples taken 60 group, diagnose, diagnosis above flowchart design result is shown in Fig.3.
represents the kernel matrix for the testing data points.
The specification of bearing data is listed in Table.1.
Integration of these feature attribute data, a total of 120 sets of data were four categories, as fault diagnosis of input data.
Raw data As indicated in Figure12 bearing the four fault signal data, inner ring fault level two data signal and inner ring fault level three data signals, bearing the lap data for a sample of (512), the above equation 12-24 , 13 characteristic parameters, feature extraction, training sample were 120 groups, training and test samples taken 60 group, diagnose, diagnosis above flowchart design result is shown in Fig.3.
Online since: October 2006
Authors: G.L. Hofman, Yeon Soo Kim, H.J. Ryu
The model correlation was established and
fitted to the in-reactor data.
Data obtained from various in-reactor tests were used.
Discussion Figure 7 shows a comparison of diffusion rate constants between out-of-pile annealing test data and irradiation test data from various tests.
For the irradiation test data, however, the plot shows a curvature.
The irradiation test data were divided with the square root of their fission rate factors to compare with the out-of-pile data.
Data obtained from various in-reactor tests were used.
Discussion Figure 7 shows a comparison of diffusion rate constants between out-of-pile annealing test data and irradiation test data from various tests.
For the irradiation test data, however, the plot shows a curvature.
The irradiation test data were divided with the square root of their fission rate factors to compare with the out-of-pile data.
Online since: June 2013
Authors: Jian Lv, Shuai Zhen, Shi Yang Hu, Xiao Tang, Xiao Hong Ma, Ying Zhang
The analysis in this paper is mainly based on the measured data of the collector area key design parameters such as average daily water use, water temperature, the thermal collection efficiency, water tank and pipeline heat loss and other parameters, as well as the problem found in the test of the construction and operation control , put forward reasonable suggestions for energy saving potential, provide reference for the centralized solar hot water system design and operation in future.
Therefore, the design value of daily hot water consumption should be selected base on the average daily amount, adopt proportional coefficient reduction method for the highest daily hot water quota should be more reasonable.
In the design, due to the different engineering pipeline with different length, and selection of insulation materials and thermal insulation properties are different, the heat loss value are different, so take the heat loss value should according to the actual testing data results of the equipment and piping insulation.
The original design requires is basic realization of automatic control to the heat pump system, but in the actual found that, operation people according to the cold and heat data of the system judge the switching in various work conditions and the pump starting or stopping, not fully automatic operation control, if operational errors appear such as operation switch valve and the water pump, cooling water pump, chilled water pump start and stop, it would cause unnecessary waste of energy.
According to the measured data, the collector area calculation result often bigger if in accordance with the norm
Therefore, the design value of daily hot water consumption should be selected base on the average daily amount, adopt proportional coefficient reduction method for the highest daily hot water quota should be more reasonable.
In the design, due to the different engineering pipeline with different length, and selection of insulation materials and thermal insulation properties are different, the heat loss value are different, so take the heat loss value should according to the actual testing data results of the equipment and piping insulation.
The original design requires is basic realization of automatic control to the heat pump system, but in the actual found that, operation people according to the cold and heat data of the system judge the switching in various work conditions and the pump starting or stopping, not fully automatic operation control, if operational errors appear such as operation switch valve and the water pump, cooling water pump, chilled water pump start and stop, it would cause unnecessary waste of energy.
According to the measured data, the collector area calculation result often bigger if in accordance with the norm
Online since: March 2013
Authors: Zhi Guang Li, Ai Jun Shao, Yuan Huang
The statistical data showed that during 1950-90s’, the average precipitation decreased by decade in most of stations (table 1).
According to the groundwater exploitation data from 1985 to 1995, the excess development of the low groundwater was 15.6×108 m3/a; and the deep groundwater was 8.9×108 m3/a.
According to data, the bigger funnels were Shijiazhuang, Jizaoheng and Cangzhou[3] (table 3).
According to the pertinent data, above 70% of total precipitation in Hebei plain approximately all transforms as soil water, another small part turns to the deep aquifer, and transforms as the ground water.
According to the data from Hebei Bureau of Water Resources, in 1950s’, surface runoff of the whole province was 199×108 m3/a and water which goes into the sea was 86.4×108 m3/a; in 1980s’, surface runoff of the whole province was 81.3×108 m3/a, and water into the sea was 13.2×108 m3/a.
According to the groundwater exploitation data from 1985 to 1995, the excess development of the low groundwater was 15.6×108 m3/a; and the deep groundwater was 8.9×108 m3/a.
According to data, the bigger funnels were Shijiazhuang, Jizaoheng and Cangzhou[3] (table 3).
According to the pertinent data, above 70% of total precipitation in Hebei plain approximately all transforms as soil water, another small part turns to the deep aquifer, and transforms as the ground water.
According to the data from Hebei Bureau of Water Resources, in 1950s’, surface runoff of the whole province was 199×108 m3/a and water which goes into the sea was 86.4×108 m3/a; in 1980s’, surface runoff of the whole province was 81.3×108 m3/a, and water into the sea was 13.2×108 m3/a.
Online since: December 2013
Authors: Zhi Yuan Sun, Zi Wang, Xue Zheng
Wireless terminal send monitoring data to AP inserting point in wireless way, and the latter upload data to monitoring center, and thus insert WLAN into wired Ethernet.
The designed terminal can read device data of sensors in monitored area and valve condition and control, so as to switch data between WLAN and wired networks.
Generally, drivers do not preserve buffers for transmission data, instead, it transmit data using transmission functions of hardware directly.
Data are received by interrupt requests of hardware.
The optimized plans should be draw up and carried out In conjunction with data.
The designed terminal can read device data of sensors in monitored area and valve condition and control, so as to switch data between WLAN and wired networks.
Generally, drivers do not preserve buffers for transmission data, instead, it transmit data using transmission functions of hardware directly.
Data are received by interrupt requests of hardware.
The optimized plans should be draw up and carried out In conjunction with data.
Online since: June 2009
Authors: Mariyam Jameelah Ghazali, Mohd Zaki Nuawi, N.I.I. Mansor
The statistical methods that summarise a collection numerically or graphically data is
called descriptive statistics while the inferential statistics model is the pattern data that permits
randomness and uncertainty in the observations.
Signals were fed into a data acquisition system on a PC and were sampled at 50 kHz.
All real-time signal data are then transferred to MATLAB.
Clearly, the space scattering of the signal data distribution tend to shrink from 8.35 x 10-12 to 3.05 x 10-12 as shown in Fig. 3.
It was found that, the wear severity will increase with a contraction of data distributions.
Signals were fed into a data acquisition system on a PC and were sampled at 50 kHz.
All real-time signal data are then transferred to MATLAB.
Clearly, the space scattering of the signal data distribution tend to shrink from 8.35 x 10-12 to 3.05 x 10-12 as shown in Fig. 3.
It was found that, the wear severity will increase with a contraction of data distributions.
Online since: July 2012
Authors: Lin Wen Xu, Feng Qian
Entropy measures the impurity of a set of data.
Experiment and Discussion Data of experiment.
The data containing customers’ gender, age and the configurations they had selected.
First, the data are transferred to forms appropriate for calculating.
Data & Knowledge Engineering, 63(2), 2007, p258-269
Experiment and Discussion Data of experiment.
The data containing customers’ gender, age and the configurations they had selected.
First, the data are transferred to forms appropriate for calculating.
Data & Knowledge Engineering, 63(2), 2007, p258-269
Online since: January 2013
Authors: Yong Luo
The system is simplified with the reduction in its weight and volume.
Due to the ill-condition of Eq. 3, any tiny disturbance of the measuring data will induce enormous changes in solving results.
A matrix with m×m data points from the mirror surface plane XY is extracted in polar coordinate system to compute the vector height matrix Z of the surface at each data points based on Eq. 1 of the aspheric surface.
The data from matrix ZZ is adopted to simulate the profilometric measurement result of the aspheric mirror.
Fixed Data Points and Different Amplitude Random Noise A matrix with 50×50 data points from the mirror surface plane XY is extracted in polar coordinate system, and the vector height matrix Z of the surface is mixed with a random noise with an amplitude of 0um, 1um, 2um and 5um respectively.
Due to the ill-condition of Eq. 3, any tiny disturbance of the measuring data will induce enormous changes in solving results.
A matrix with m×m data points from the mirror surface plane XY is extracted in polar coordinate system to compute the vector height matrix Z of the surface at each data points based on Eq. 1 of the aspheric surface.
The data from matrix ZZ is adopted to simulate the profilometric measurement result of the aspheric mirror.
Fixed Data Points and Different Amplitude Random Noise A matrix with 50×50 data points from the mirror surface plane XY is extracted in polar coordinate system, and the vector height matrix Z of the surface is mixed with a random noise with an amplitude of 0um, 1um, 2um and 5um respectively.
Online since: September 2014
Authors: Zuo Xue Liu, Jian Mei Dai, Hua Fang Geng
Introduction
The geographical environment of battle field is more complex, the electromagnetic environment is worse, and the data to be transferred is huge.
Systems can effectively resist the influence of multipath fading on data transmission by placing multiple antennas in sending and receiving ends.
Usually, MIMO combines OFDM to make more use of space resources and provide higher data transmission rate for MIMO have no ability to assist deep frequency selective fading
The security mechanism can guarantee the safe operation of conventional mobile communications system and protect user’s identity and data.
Second, the PBCH data should be hopped or repeated within frequency domain to improve anti-jamming redundancy.
Systems can effectively resist the influence of multipath fading on data transmission by placing multiple antennas in sending and receiving ends.
Usually, MIMO combines OFDM to make more use of space resources and provide higher data transmission rate for MIMO have no ability to assist deep frequency selective fading
The security mechanism can guarantee the safe operation of conventional mobile communications system and protect user’s identity and data.
Second, the PBCH data should be hopped or repeated within frequency domain to improve anti-jamming redundancy.