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Online since: July 2019
Authors: Alexandre Savtchouk, Dmitriy Marinskiy, Marshall Wilson, Robert Hillard, Jacek Lagowski, Carlos Almeida
Compared to the alternative MOS characterization, the non-contact method lowers the manufacturing cost and shortens the data feedback time from weeks to less than one hour.
Availability of C-V corresponding to DVlight data makes it possible to compare the present approach with the other direct method for flatband voltage described in ref. 4.
For a comparison, the corona non-contact 1/C2 data was differentiated and analyzed according to ref 4.
In the corona-Kelvin method the interfacial charge trapping DQit is manifested as a reduction in magnitude of the surface space charge change DQSC in response to the corona charge increment DQC.
Availability of C-V corresponding to DVlight data makes it possible to compare the present approach with the other direct method for flatband voltage described in ref. 4.
For a comparison, the corona non-contact 1/C2 data was differentiated and analyzed according to ref 4.
In the corona-Kelvin method the interfacial charge trapping DQit is manifested as a reduction in magnitude of the surface space charge change DQSC in response to the corona charge increment DQC.
Online since: December 2012
Authors: Shan Gao, Yi Zhu
Including emergency on-site data collection, emergency spatial data collection, emergency events process management, etc.
The key technique and innovation are solved by this system Facing the emergency multiple spatial data management.
Fig.7 Facing the emergency multiple spatial data management The distributed multi-agent server clusters technology.
Fig.9 The emergency services workflow technology for emergency events The multistage grid of data management and fast scheduling.
By using pyramid approach manage raster and image data, we establish the simplification segmentation, organization and management, Indexing and scheduling to manage the vector data.
The key technique and innovation are solved by this system Facing the emergency multiple spatial data management.
Fig.7 Facing the emergency multiple spatial data management The distributed multi-agent server clusters technology.
Fig.9 The emergency services workflow technology for emergency events The multistage grid of data management and fast scheduling.
By using pyramid approach manage raster and image data, we establish the simplification segmentation, organization and management, Indexing and scheduling to manage the vector data.
Online since: March 2007
Authors: Dong Li Sun, Qing Wang, T. Wu, J. Lai
It must be pointed out that all data
were picked out beyond the range of the elasticity deformation of curves.
These normalized data were used to train and test the network.
Table 4 demonstrates the maximal relative errors of prediction data by ANN.
The network prediction for test data is plotted along with experiment values in Fig.3.
The neural network predictions are in good agreement with the experimental data.
These normalized data were used to train and test the network.
Table 4 demonstrates the maximal relative errors of prediction data by ANN.
The network prediction for test data is plotted along with experiment values in Fig.3.
The neural network predictions are in good agreement with the experimental data.
Online since: February 2011
Authors: Yu Gang Fan, Jian De Wu, De Gang Huang, Ting Feng
Local Least Square Support Vector Machine
(1)Basic Principle of LS-SVM
The essence of LSSVM is that it can describe the law of these data to fit a optimum curve for the issue of nonlinear regression.
This paper uses parameteras norm between history data and present predicted data, the norm as follow [11]: (7) is the ith data of history.
Afteris calculated, is ranked in the descending order and the high matching degree data are selected as local regression model database.
The experiment data of this paper is from this MUH
(3)Experimental Instructions ①Traditional LS-SVM: First 100 data are selected as training data, and second 100 data that are followed with the first 100 data are selected as predicted data. ②Local LS-SVM:First 100 data of the whole database are selected as the original training data, when prediction is carried out, then the most optimal samples are selected, and then next time is predicted.
This paper uses parameteras norm between history data and present predicted data, the norm as follow [11]: (7) is the ith data of history.
Afteris calculated, is ranked in the descending order and the high matching degree data are selected as local regression model database.
The experiment data of this paper is from this MUH
(3)Experimental Instructions ①Traditional LS-SVM: First 100 data are selected as training data, and second 100 data that are followed with the first 100 data are selected as predicted data. ②Local LS-SVM:First 100 data of the whole database are selected as the original training data, when prediction is carried out, then the most optimal samples are selected, and then next time is predicted.
Online since: October 2011
Authors: Ying Jie Song, Cui Cui Lv
Due to the availability of statistic data, the thesis chooses gross employees in service industry as input index.
Due to the adjustment of administrative district, Chongqing and Hainan are also eliminated since historical data are unavailable.
Due to the availability of data, preliminary capital stock derives from the calculated data in transportation industry in 2004 by Liu Binlian and the depreciation rate is 5%.
Investment data from 2004 to 2008 derives from Yearbook 2000 of tertiary industry in China, 2006-2009.
“A Slacks-Based Measure of Efficiency in Data Envelopment Analysis” European Journal of Operational Research, 2001,130: 498-509
Due to the adjustment of administrative district, Chongqing and Hainan are also eliminated since historical data are unavailable.
Due to the availability of data, preliminary capital stock derives from the calculated data in transportation industry in 2004 by Liu Binlian and the depreciation rate is 5%.
Investment data from 2004 to 2008 derives from Yearbook 2000 of tertiary industry in China, 2006-2009.
“A Slacks-Based Measure of Efficiency in Data Envelopment Analysis” European Journal of Operational Research, 2001,130: 498-509
Online since: November 2013
Authors: Daniel Reclik, Krzysztof Herbuś, Jerzy Świder, Gabriel Kost
The important problem was the reduction of moves considered with each robot model axis in such a way that the virtual model can achieve the required position only in the way that can be achieved by the real robot manipulator.
On the basis of these data the virtual model, in a continuous mode, simulates the real object.
This solution is so universal that it allows connecting any OPC system, including connecting the data sent from the real PLC or robot (allowing visualization in real time the moves of devices or the robot).
For this purpose, the position(.) function allowing recognition of subsequent parts of a string of a TCP / IP text message to the vector position of the axes was elaborated: Private Sub Winsock1_DataArrival(ByVal bytesTotal As Long) Dim I, K, max_data Dim position(20) As String Dim Data_s As String Winsock1.GetData Data, vbString, bytesTotal Data_s = Data K = 0 I = 0 max_data = 6 While (Len(Data_s) >= 1) And (K <= max_data + 1) I = InStr(1, Data_s, " ") If (I > 0) Then position(K) = Trim(Left(Data_s, I)) If (I = 0) Then position(K) = Trim(Data_s) Data_s = Trim(Right(Data_s, Len(Data_s) - I)) K = K + 1 Wend StatusUpdater End Sub Implementation of RS232 communication in VR control application In the case of RS232 serial communication the two solutions of technical data acquisition were possible.
The reading function of cyclic reading of the RS232 port is as follows: Public Sub aktualizuj() Dim z Dim Err As Long Dim cs As COMSTAT Dim ile ClearCommError UserForm1.hCommDev, Err, cs If (cs.cbInQue > 0) Then Data_s=”” ReadFile UserForm1.hCommDev, Buffer_I, z, ile, 0 for Z=0 to ile do Data_s=Data_s+chr(Buffer_I) Next Z End If End Sub After implementing all the necessary functions and constants the test of the whole system was proceeded.
On the basis of these data the virtual model, in a continuous mode, simulates the real object.
This solution is so universal that it allows connecting any OPC system, including connecting the data sent from the real PLC or robot (allowing visualization in real time the moves of devices or the robot).
For this purpose, the position(.) function allowing recognition of subsequent parts of a string of a TCP / IP text message to the vector position of the axes was elaborated: Private Sub Winsock1_DataArrival(ByVal bytesTotal As Long) Dim I, K, max_data Dim position(20) As String Dim Data_s As String Winsock1.GetData Data, vbString, bytesTotal Data_s = Data K = 0 I = 0 max_data = 6 While (Len(Data_s) >= 1) And (K <= max_data + 1) I = InStr(1, Data_s, " ") If (I > 0) Then position(K) = Trim(Left(Data_s, I)) If (I = 0) Then position(K) = Trim(Data_s) Data_s = Trim(Right(Data_s, Len(Data_s) - I)) K = K + 1 Wend StatusUpdater End Sub Implementation of RS232 communication in VR control application In the case of RS232 serial communication the two solutions of technical data acquisition were possible.
The reading function of cyclic reading of the RS232 port is as follows: Public Sub aktualizuj() Dim z Dim Err As Long Dim cs As COMSTAT Dim ile ClearCommError UserForm1.hCommDev, Err, cs If (cs.cbInQue > 0) Then Data_s=”” ReadFile UserForm1.hCommDev, Buffer_I, z, ile, 0 for Z=0 to ile do Data_s=Data_s+chr(Buffer_I) Next Z End If End Sub After implementing all the necessary functions and constants the test of the whole system was proceeded.
Online since: December 2011
Authors: Leo A.I. Kestens, Koenraad Decroos, Roumen H. Petrov, Nuria Sanchez
The grain shape of a specific crystal orientation is approximated by an ellipsoid volume of which the major axes are obtained from experimental data.
Heavily cold rolled (90% reduction) IF steel was recrystallized at 750°C for 10 min.
The size of the grains belonging to each of the most representative crystal orientations was obtained from the EBSD data.
Unfortunately the present data do not allow discriminating between crystal plasticity induced anisotropy (cf. 1st term of Eq. 2) and crystallographic grain shape anisotropy (cf. 2nd term of Eq. 2) as both models produce a near isotropic YS profile which agrees fairly well with the experimental data.
Conclusions The effect of microstructural parameters and crystallographic texture was analyzed by an empirical approach of quantification of microstructural features combined with crystal plasticity models and a newly proposed model that combines crystallographic data and grain shape data.
Heavily cold rolled (90% reduction) IF steel was recrystallized at 750°C for 10 min.
The size of the grains belonging to each of the most representative crystal orientations was obtained from the EBSD data.
Unfortunately the present data do not allow discriminating between crystal plasticity induced anisotropy (cf. 1st term of Eq. 2) and crystallographic grain shape anisotropy (cf. 2nd term of Eq. 2) as both models produce a near isotropic YS profile which agrees fairly well with the experimental data.
Conclusions The effect of microstructural parameters and crystallographic texture was analyzed by an empirical approach of quantification of microstructural features combined with crystal plasticity models and a newly proposed model that combines crystallographic data and grain shape data.
Online since: July 2015
Authors: Jonathan Schäfer, Arno Plankensteiner, Michael Schober
Verification is based on comparison with data from industrial processes.
Shown are experimental data from dilatometer experiments (exp. data), the fit of the constitutive equation employed within the framework of this work (new fit) and the Zerilli-Armstrong model parameterized by Chen et al.
The model is purely phenomenological, but describes the experimental data for the full range of temperatures and strain rates fairly well.
The computed rolling forces are in reasonable agreement with the measured results only for these two cases of material models, which were fit to experimental data recorded at conditions similar to the conditions during rolling.
Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, 7th International Symposium on Ballistics, 21 (1983)
Shown are experimental data from dilatometer experiments (exp. data), the fit of the constitutive equation employed within the framework of this work (new fit) and the Zerilli-Armstrong model parameterized by Chen et al.
The model is purely phenomenological, but describes the experimental data for the full range of temperatures and strain rates fairly well.
The computed rolling forces are in reasonable agreement with the measured results only for these two cases of material models, which were fit to experimental data recorded at conditions similar to the conditions during rolling.
Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, 7th International Symposium on Ballistics, 21 (1983)
Online since: September 2007
Authors: Amedeo Manuello, Alberto Carpinteri, Giuseppe Lacidogna
By
identifying the complete shape of the signals and taking into account a larger quantity of data, it
becomes possible to ascertain the three-dimensional location of damage sources from AE sensor
records.
The leading-edge equipment adopted by the authors consists of six units USAM®, that can be synchronized for multi-channel data processing.
The damage level of a structure can be obtained from AE data of a reference specimen (subscript r) extracted from the structure and tested up to failure.
With increasing specimen scale, instead, we observe an appreciable reduction in failure stresses.
Furthermore, from a statistical analysis of the experimental data reported in Table 1, parameters D can be quantified (Eq. 2) [6].
The leading-edge equipment adopted by the authors consists of six units USAM®, that can be synchronized for multi-channel data processing.
The damage level of a structure can be obtained from AE data of a reference specimen (subscript r) extracted from the structure and tested up to failure.
With increasing specimen scale, instead, we observe an appreciable reduction in failure stresses.
Furthermore, from a statistical analysis of the experimental data reported in Table 1, parameters D can be quantified (Eq. 2) [6].
Online since: September 2013
Authors: Valentin Vladut, Elena Postelnicu, Cristian Sorica, Petru Cardei, Ion Grigore
This paper aims to analyze the values obtained in these situations and interpret the data to determine the influence that each factor has on the acoustic power compared with the values obtained (permissible) according to Directive regarding noise emission D 2000/14/EC.
Fig. 1 Flywheel SDG 3500 CLE Generator The equipment used to determine the sound power level is a measurement and analysis system based on PC - "System Type 3569 C PULSE multi-analysis" produced by Bruel & Kjaer, wich consists in 12 microphones with preamp, amplifier and signal conditioning module with 12 measuring channels, assisted by a notebook computer and software required for the acquisition, processing, interpretation and presentation of data in tabular form. [7, 10] Also, includes a calibration module type 4231 wich generates on the frequency of 1 kHz, a noise level of 94 dB or 114 dB.
After the last measurement channel calibration, the calibration program is closed and the data acquisition program is opened, according to the number of measuring channels.
After its execution, we need to run another program that takes the data from the previous one and processes them according to SR EN ISO 3744 which refers to the determination of sound power levels of noise sources using sound pressure.
This phenomenon occurs because of the existence of reflective planes that fosters reflection and amplify the two physical quantities analyzed; - Using the experimental data of the kind presented in this paper, together with the theoretical interpolation function adapted to the specific measurements, may give clues on identifying areas with high levels of pressure and sound power, helping to optimize noise reduction solutions in these areas.
Fig. 1 Flywheel SDG 3500 CLE Generator The equipment used to determine the sound power level is a measurement and analysis system based on PC - "System Type 3569 C PULSE multi-analysis" produced by Bruel & Kjaer, wich consists in 12 microphones with preamp, amplifier and signal conditioning module with 12 measuring channels, assisted by a notebook computer and software required for the acquisition, processing, interpretation and presentation of data in tabular form. [7, 10] Also, includes a calibration module type 4231 wich generates on the frequency of 1 kHz, a noise level of 94 dB or 114 dB.
After the last measurement channel calibration, the calibration program is closed and the data acquisition program is opened, according to the number of measuring channels.
After its execution, we need to run another program that takes the data from the previous one and processes them according to SR EN ISO 3744 which refers to the determination of sound power levels of noise sources using sound pressure.
This phenomenon occurs because of the existence of reflective planes that fosters reflection and amplify the two physical quantities analyzed; - Using the experimental data of the kind presented in this paper, together with the theoretical interpolation function adapted to the specific measurements, may give clues on identifying areas with high levels of pressure and sound power, helping to optimize noise reduction solutions in these areas.