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Online since: April 2008
Authors: Shi Hong Zhang, Zhou De Qu, Qun Zhang, Chen Lei
Height reduction is the major geometry change.
In order to verify the model a comparison must be made between the strip surface temperature predicted by the model and the data obtained at the hot rolling line.
In the analysis the procedure collects the temperature data of exit of roll gap during each iterative solution then write them to a data file.
As can be seen from Fig. 9, the predicted temperature data agrees well with the data of pyrometer.
(5) The predictions of the model are in a good agreement with the plant-recorded surface temperature data.
In order to verify the model a comparison must be made between the strip surface temperature predicted by the model and the data obtained at the hot rolling line.
In the analysis the procedure collects the temperature data of exit of roll gap during each iterative solution then write them to a data file.
As can be seen from Fig. 9, the predicted temperature data agrees well with the data of pyrometer.
(5) The predictions of the model are in a good agreement with the plant-recorded surface temperature data.
Online since: September 2014
Authors: Nan Li, Kai Bu, Jie Tao Diao, Xi Wang, Ming Qian Wang
The differential write scheme compare a new data value with an old data value and only write on the NVM cells for which the old and new values are different.
As shown in Fig. 3(a): write operations are carried out on the gray-colored cells to decrease the number of bit changes from 8 to 6. [9] Fig. 3 Write traffic reduction technique The data inverting scheme can reduce write traffic to NVM further.
It invert the data to be written, if the Hamming distance between the old and the new value is larger than the half the data size.
And store the inversion status of the written data in an additional memory cell, which we call i-bit.
The i-bit is referred to restore the original data value from the stored value.
As shown in Fig. 3(a): write operations are carried out on the gray-colored cells to decrease the number of bit changes from 8 to 6. [9] Fig. 3 Write traffic reduction technique The data inverting scheme can reduce write traffic to NVM further.
It invert the data to be written, if the Hamming distance between the old and the new value is larger than the half the data size.
And store the inversion status of the written data in an additional memory cell, which we call i-bit.
The i-bit is referred to restore the original data value from the stored value.
Online since: September 2016
Authors: A.V. Shaparev, I. Savin
(6)
According to the experiment data [8], and statistical calculations obtained acp= 0.0308 mm; k = 2,024.
Calculated according to the data obtained approximate amount of deformation of the primary setting of the layers in the cold rolling of bimetal steel brass L90-L90 18YUA-brass.
Thus, a good agreement of the experimental and theoretical data.
To check depending σczσB=fL1,L2 use experimental data from [10].
(21) Overall, a satisfactory agreement between the calculated and experimental data.
Calculated according to the data obtained approximate amount of deformation of the primary setting of the layers in the cold rolling of bimetal steel brass L90-L90 18YUA-brass.
Thus, a good agreement of the experimental and theoretical data.
To check depending σczσB=fL1,L2 use experimental data from [10].
(21) Overall, a satisfactory agreement between the calculated and experimental data.
Online since: February 2011
Authors: A. Freeda Amir, A.R. Othman
The set-up was equipped with data acquisition software of DEWESoft v6.0 in order to simultaneously record the impact force and penetration time.
Test data of the compressive load and the displacement of compressive surface of the specimens were measured using a 30kN Instron universal testing machine.
The compressive strength and modulus of the impact sandwich were determined to evaluate the reduction percentage of the properties.
From DEWEsof transient data, load and energy versus time were plotted using the parameters for different energy level and compared as shown in Fig. 1.
On the other hand, the reduction in crush strength of the sandwich was observed up to 29.27% in comparison to the value quoted by manufacturer.
Test data of the compressive load and the displacement of compressive surface of the specimens were measured using a 30kN Instron universal testing machine.
The compressive strength and modulus of the impact sandwich were determined to evaluate the reduction percentage of the properties.
From DEWEsof transient data, load and energy versus time were plotted using the parameters for different energy level and compared as shown in Fig. 1.
On the other hand, the reduction in crush strength of the sandwich was observed up to 29.27% in comparison to the value quoted by manufacturer.
Online since: February 2014
Authors: Vittorio Astarita, Nunzio Mongelli, Oreste Ruffolo, Angelo Servino, Demetrio C. Festa, Domenico W. E. Mongelli
The user can also review offline his paths and the geo-localised driving style data thanks to the Smartphone’s GPS.
The EcoSmart application replaces the OBD device and the consumption data, that can be obtained from the car engine, approximating fuel consumption just based on the dynamic of vehicle motion that is evaluated on GPS data.
The experimental phase of the Matrix Data Collection calibrates the specific matrix of consumption and the occurrences matrices.
These matrices are the input data of the program at the base of EcoSmart.
The Trip Data phase constitutes the output of the program.
The EcoSmart application replaces the OBD device and the consumption data, that can be obtained from the car engine, approximating fuel consumption just based on the dynamic of vehicle motion that is evaluated on GPS data.
The experimental phase of the Matrix Data Collection calibrates the specific matrix of consumption and the occurrences matrices.
These matrices are the input data of the program at the base of EcoSmart.
The Trip Data phase constitutes the output of the program.
Online since: November 2012
Authors: Jian Zhang, Lun Nong Tan
Our data show a new method for wind speed forecasting and the reduction of auxiliary service costs of wind farms.
It can analyze the provided input and output data and grasp the law of these data.
Then we can get the result by new corresponding input data.
Thus, we choose and as input data and predict the .
Research objects and data.
It can analyze the provided input and output data and grasp the law of these data.
Then we can get the result by new corresponding input data.
Thus, we choose and as input data and predict the .
Research objects and data.
Online since: May 2020
Authors: S. Nallusamy, S. Muralikrishna, Gunji Venkata Punna Rao, Partha Sarathi Chakraborty
Time data had been collected for all the existing processes, once all the processes of the belt manufacturing industry become familiar.
The detailed data of the processes are as follows.
Belt Section : B - Banded Table 1: Building Machine Time Data Section: B-Banded Total Process Time (mins) Cont.
Similarly, the time data for HRC machine were calculated and given in Table 3.
· The rework has been reduced from 9.78% to 5.65% through the data coding
The detailed data of the processes are as follows.
Belt Section : B - Banded Table 1: Building Machine Time Data Section: B-Banded Total Process Time (mins) Cont.
Similarly, the time data for HRC machine were calculated and given in Table 3.
· The rework has been reduced from 9.78% to 5.65% through the data coding
Online since: December 2012
Authors: Chang Jiang Long, Xuan Li, Peng Wan
We firstly get the NIR spectrum of some Chinese medicine, and then use LSA technology to process the data and cluster them.
We use Hierarchical clustering method (the shortest distance method) to cluster the original data.
And data are arranged in an unexpected order; even the medicines for benefiting qi can not be clustered together.
Fig.3 The cluster result of the data after SVD reduction It can be seen that all the same medicines are arranged together and the medicines from 1 to 20 are clustered to the same group.
Computational Statistics & Data Analysis. 11 (1990) 873-912.
We use Hierarchical clustering method (the shortest distance method) to cluster the original data.
And data are arranged in an unexpected order; even the medicines for benefiting qi can not be clustered together.
Fig.3 The cluster result of the data after SVD reduction It can be seen that all the same medicines are arranged together and the medicines from 1 to 20 are clustered to the same group.
Computational Statistics & Data Analysis. 11 (1990) 873-912.
Online since: October 2014
Authors: Izabela Horzela, Wojciech Majewski, Tomasz Węgrzyn, Bożena Szczucka-Lasota
Monitoring of environmental data in the logistics network does not require a significant financial outlay because most of the data in this area is used by organization in other operations.
The input of material data contain important information about the components / raw materials used for production.
If we use any ERP system for company management we can find easily these data in it.
The additional cost is mainly: printout of data already entered into the system, which are properly configured and protected (work performed by informatics or system administrator) and work performed by person analyzing the data.
These data are base to reduce costs of the company. 5.
The input of material data contain important information about the components / raw materials used for production.
If we use any ERP system for company management we can find easily these data in it.
The additional cost is mainly: printout of data already entered into the system, which are properly configured and protected (work performed by informatics or system administrator) and work performed by person analyzing the data.
These data are base to reduce costs of the company. 5.
Online since: August 2012
Authors: Xing Hua Shao, Jiang Zhong Zhang
P adsorption data was found to fit Langmuir isotherms for two soils.
The equilibrium P sorption data w- ere interpreted by using the Langmuir equation: (1) Where C/S = amount of P adsorbed (mg kg-1 soil).
The data obtained on P desorption were plotted in accordance with a Langmuir type equation
Phosphorus adsorption data was found to fit Langmuir iso- therm (Table 2) for two soils.
The data suggested that two soils were different in their ch- emical and physical properties, and they shown different des-orption trait after flooding.
The equilibrium P sorption data w- ere interpreted by using the Langmuir equation: (1) Where C/S = amount of P adsorbed (mg kg-1 soil).
The data obtained on P desorption were plotted in accordance with a Langmuir type equation
Phosphorus adsorption data was found to fit Langmuir iso- therm (Table 2) for two soils.
The data suggested that two soils were different in their ch- emical and physical properties, and they shown different des-orption trait after flooding.