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Online since: September 2013
Authors: De Jun Guan, Li Lin
As you can see, this makes use of IORD_ALTERA_AVALON_PIO_DATA () function and read input PIO port status.
And IOWR_ALTERA_AVALON_PIO_DATA () function is used to assign Output PIO port.
The peripheral resources of experimental system include several major modules such as interface communication, control, storage, data conversion and man-machine interactive display.
Pulse signal spectrum characteristics are combined with the experimental data.
The next signal reduction work, including the high sampling rate reduction of pulse wave signal sequence by using four character points, and restore the digital sequence back to analog signals.
And IOWR_ALTERA_AVALON_PIO_DATA () function is used to assign Output PIO port.
The peripheral resources of experimental system include several major modules such as interface communication, control, storage, data conversion and man-machine interactive display.
Pulse signal spectrum characteristics are combined with the experimental data.
The next signal reduction work, including the high sampling rate reduction of pulse wave signal sequence by using four character points, and restore the digital sequence back to analog signals.
Online since: June 2008
Authors: Lluís Mañosa, Antoni Planes, Jordi Marcos, Eberhard F. Wassermann, Xavier Moya, Mehmet Acet, Thorsten Krenke, Seda Aksoy
Experimental results: Ni-Mn-Ga alloys
In Fig. 1, we present magnetization data as a function of temperature for given values of the
magnetic field for Ni-Mn-Ga alloys of selected compositions (see Table 1).
Data have been extracted from published isothermal magnetization curves, [M(H)]T, measured following a sequence of increasing temperatures.
The symbols correspond to experimental data (calculated from the data in Fig. 1).
From the magnetization data in Fig. 1, and by using Eqs. (1) and (5), the associated average field induced entropy change, h∆S(H)i, is obtained.
We have first analyzed experimental data for composition related Ni-Mn-Ga ferromagnetic shape-memory alloys.
Data have been extracted from published isothermal magnetization curves, [M(H)]T, measured following a sequence of increasing temperatures.
The symbols correspond to experimental data (calculated from the data in Fig. 1).
From the magnetization data in Fig. 1, and by using Eqs. (1) and (5), the associated average field induced entropy change, h∆S(H)i, is obtained.
We have first analyzed experimental data for composition related Ni-Mn-Ga ferromagnetic shape-memory alloys.
Online since: June 2011
Authors: Jian Wei Ji, Xiao Xuan Qi, Xiao Wei Han
Another statistic data shows that 70 percent of rotating machinery failures is caused by the rolling bearing damage and that of motors is 80 percent.
Data acquisiton Feature extraction Failure recogniton Time domain analysis Frequency domain analysis Time-frequency domain analysis Angle domain analysis Fig. 1 Diagram of fault diagnosis Rolling bearing Vibration signal Data collection Original feature vector Signal process Dimensional reduction Effective feature vector Failure state Failure prediction Decision support Decision making Equipment intervention Pattern recognition Fig.2 The principle of fault diagnosis In this paper, different bearing fault diagnosis methods are concisely reviewed, in an effort to provide a general guide for choosing proper monitoring strategy in practical applications.
At presnet, WT has been widely used in fields of transient analysis, noise reduction, data compression and etc.
As the speed rises, vibration waves will change rapidly, sampling points will become more with the increasing of sampling frequency to avoid the missing of characteristic data points.
b) The computing is simple and determined only by the processed data and the problem itself.
Data acquisiton Feature extraction Failure recogniton Time domain analysis Frequency domain analysis Time-frequency domain analysis Angle domain analysis Fig. 1 Diagram of fault diagnosis Rolling bearing Vibration signal Data collection Original feature vector Signal process Dimensional reduction Effective feature vector Failure state Failure prediction Decision support Decision making Equipment intervention Pattern recognition Fig.2 The principle of fault diagnosis In this paper, different bearing fault diagnosis methods are concisely reviewed, in an effort to provide a general guide for choosing proper monitoring strategy in practical applications.
At presnet, WT has been widely used in fields of transient analysis, noise reduction, data compression and etc.
As the speed rises, vibration waves will change rapidly, sampling points will become more with the increasing of sampling frequency to avoid the missing of characteristic data points.
b) The computing is simple and determined only by the processed data and the problem itself.
Online since: June 2019
Authors: Elizaveta Gromova
Suri
Reduction of order execution time due to all company operations, both internal and external
Lean production
LP
T.
The innovative approach announced by Severstal's management in 2017, based on the use of IT technologies, big data and artificial intelligence capabilities, and brought the first result.
Expressly for the Tu-160M2 project, work was done to secure data exchange channels, a single network was set up in central oriented corporate applications, and design and engineering data were exchanged.
Considering the geographical distribution of the project cooperative enterprises (from the Far East to the center of the European part of Russia), work with the same project design data can be carried out almost around the clock.
The processing and storage of information on the project is performed in a modern data processing center launched by Tupolev in 2015.
The innovative approach announced by Severstal's management in 2017, based on the use of IT technologies, big data and artificial intelligence capabilities, and brought the first result.
Expressly for the Tu-160M2 project, work was done to secure data exchange channels, a single network was set up in central oriented corporate applications, and design and engineering data were exchanged.
Considering the geographical distribution of the project cooperative enterprises (from the Far East to the center of the European part of Russia), work with the same project design data can be carried out almost around the clock.
The processing and storage of information on the project is performed in a modern data processing center launched by Tupolev in 2015.
Online since: December 2013
Authors: Ali Faraji, Nasser Fatouraee, Narges Alam
Computerized dynamic posturography system is one of the most popular equipments which is used for diagnosing and measuring human balance and converts them to numerical data output.
Also, designing and producing the product in the country considering the Iranian users’ needs and production limitations brings about a localized production and consequently, a dramatic cost reduction.
Another function of this device is comparing the normal data with specific demographic characteristics, for instance, falling or single-leg stability of athletes [4].
Questions were prepared in three categories: functional, ergonomic and aesthetic, and included the positive and negative traits.Each trait was given a rating of one to five(positive or negative) by respondents so their comments were recorded.After filtering the data collected from observations, interviews and the results of questionnaires, the design criteria were developed in three categories of functionality,ergonomics and aesthetics.
The algorithm of using the product: 1) Install the Portable knobs;2) pulling out the folding step in case of need; 3) Step on the platform; 4) Put the legs in the prescribed position; 5) Turn on the screen; 6) select the test mode menu or training one; 7)Start; 8)End; 9)Put your feet around thespace ofthe platform; 10) Grab the handles and come down from the platform;11) Data processingand print them (Fig. 2).
Also, designing and producing the product in the country considering the Iranian users’ needs and production limitations brings about a localized production and consequently, a dramatic cost reduction.
Another function of this device is comparing the normal data with specific demographic characteristics, for instance, falling or single-leg stability of athletes [4].
Questions were prepared in three categories: functional, ergonomic and aesthetic, and included the positive and negative traits.Each trait was given a rating of one to five(positive or negative) by respondents so their comments were recorded.After filtering the data collected from observations, interviews and the results of questionnaires, the design criteria were developed in three categories of functionality,ergonomics and aesthetics.
The algorithm of using the product: 1) Install the Portable knobs;2) pulling out the folding step in case of need; 3) Step on the platform; 4) Put the legs in the prescribed position; 5) Turn on the screen; 6) select the test mode menu or training one; 7)Start; 8)End; 9)Put your feet around thespace ofthe platform; 10) Grab the handles and come down from the platform;11) Data processingand print them (Fig. 2).
Online since: June 2008
Authors: Pedro M.P. Salomé, António F. da Cunha
The highest efficiency value reported for
co-sputtered CIS thin films is less than 8% and there is no data found for CIGS layers produced by
a similar technique.
As can be seen from the presented data the best efficiency (above 7 %) was obtained for the case of two-stage Cu-GaSe/In-GaSe sputtering in Se vapours.
This in turn contributes to a reduction in the recombination of photogenerated carriers at the back contact.
overall reduction in recombination can explain the improvement in the cell parameters.
As can be seen from the presented data the best efficiency (above 7 %) was obtained for the case of two-stage Cu-GaSe/In-GaSe sputtering in Se vapours.
This in turn contributes to a reduction in the recombination of photogenerated carriers at the back contact.
overall reduction in recombination can explain the improvement in the cell parameters.
Online since: March 2007
Authors: Johanne Laigo, Franck Tancret
Their
mechanical properties are predicted through the analysis of existing data with artificial neural
networks.
On the contrary, a huge amount of data is available in published sources, from which it would be useful to extract a global although empirical knowledge.
The software, Tpros [4], was run on a huge database containing more than 1800 stress-rupture data on several tens of different alloys [1].
Consequently, only the physical phenomena embedded in the data can be taken into account in an implicit manner.
The latter rely on the descritption of data with sets of flexible non-linear and interacting functions, in the present case hyperbolic tangents [12].
On the contrary, a huge amount of data is available in published sources, from which it would be useful to extract a global although empirical knowledge.
The software, Tpros [4], was run on a huge database containing more than 1800 stress-rupture data on several tens of different alloys [1].
Consequently, only the physical phenomena embedded in the data can be taken into account in an implicit manner.
The latter rely on the descritption of data with sets of flexible non-linear and interacting functions, in the present case hyperbolic tangents [12].
Online since: February 2015
Authors: Mohd Yusof Noordin, Muhamad Zameri Mat Saman, Nithia Kumar
Samanc
Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia
anithia78@gmail.com, bnoordin@fkm.utm.my, czameri@fkm.utm.my
Keywords: Lean production; Lean weaknesses; Lean implementation; Waste reduction; Value.
Then by consolidating the lean production weaknesses data in to categories of people, material, equipment, know-how, business and planning or scheduling.
Lean also referred as the cost reduction mechanism for industry [7].
Then by consolidating the lean production weaknesses data in to categories of people, material, equipment, know-how, business and planning or scheduling.
Lean also referred as the cost reduction mechanism for industry [7].
Online since: January 2005
Authors: Hyun Hwa Choi, Dong Ha Lee, Jeon Young Lee
Introduction
The mining sequential pattern 0, introduced by Agrawal in 1995, is an important data mining
research problem.
Briefly, given a set of data sequence, the problem is to discover frequent subsequences where the percentage of data sequences containing them exceeds a user-specified minimum support.
Each data sequence is an ordered list of itemsets, where each itemset is a set of literals, called items.
However, it is difficult for the user to determine if he or she lacks a background in data sequences.
Our data set used by Srikant and Agrawal in 1996 is an open data generation code of the IBM Quest data mining project.
Briefly, given a set of data sequence, the problem is to discover frequent subsequences where the percentage of data sequences containing them exceeds a user-specified minimum support.
Each data sequence is an ordered list of itemsets, where each itemset is a set of literals, called items.
However, it is difficult for the user to determine if he or she lacks a background in data sequences.
Our data set used by Srikant and Agrawal in 1996 is an open data generation code of the IBM Quest data mining project.
Online since: September 2011
Authors: Xue Zhi Yang, Yong Zhang, Jun Ye Zhong, Jin Hu
Figure 1 Schematic diagram of a plane dam dam leakage
According to borehole data, bed cover thickness is 5.0 ~ 13.0m, there is no major ups and downs on the underlying bedrock surface, dam line (Ⅲ line) near the right bank of the lowest partial bedrock surface, elevation is 1228m.
Based on the data of a large willow dam for seismic hazard analysis showed that the probability of exceedance in 50 years is 0.1, its seismic intensity Ⅷ degrees, the corresponding peak bedrock acceleration of 0.24g.
Meizoseismal longer period under the conditions (taking into account the hydrodynamic pressure of water) (with the broken rock parameters) 0.676 D Conclusion In the previous stability evaluation of rock mass in meizoseismal area, seismic force is only considered, without considering the great reduction of parameters of rock structures and rock mechanics after the destruction of instant rock mass, and the significant reduction of stability of rock mass under the effect of continual earthquake and some other factors.
The dam of the great willow research data and the results show that: the rock mass stability will be reduced significantly under the conditions of the earthquake after the rock mass damage and with the role of continual earthquake, such as the AA 'profile in the earthquake case, the stability coefficient reduced from 1.024 to 0.676.
Which shows that in stability evaluation of rock in the meizoseismal area, we should not only consider the seismic forces, but also consider the larger reduction of parameters of rock structure and rock mechanics after the destruction of instant rock mass, and the significant reduction of stability of rock mass under the effect of continual earthquake and some other factors.
Based on the data of a large willow dam for seismic hazard analysis showed that the probability of exceedance in 50 years is 0.1, its seismic intensity Ⅷ degrees, the corresponding peak bedrock acceleration of 0.24g.
Meizoseismal longer period under the conditions (taking into account the hydrodynamic pressure of water) (with the broken rock parameters) 0.676 D Conclusion In the previous stability evaluation of rock mass in meizoseismal area, seismic force is only considered, without considering the great reduction of parameters of rock structures and rock mechanics after the destruction of instant rock mass, and the significant reduction of stability of rock mass under the effect of continual earthquake and some other factors.
The dam of the great willow research data and the results show that: the rock mass stability will be reduced significantly under the conditions of the earthquake after the rock mass damage and with the role of continual earthquake, such as the AA 'profile in the earthquake case, the stability coefficient reduced from 1.024 to 0.676.
Which shows that in stability evaluation of rock in the meizoseismal area, we should not only consider the seismic forces, but also consider the larger reduction of parameters of rock structure and rock mechanics after the destruction of instant rock mass, and the significant reduction of stability of rock mass under the effect of continual earthquake and some other factors.