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Online since: December 2012
Authors: V. Jayaseelan, Kalaichelvan Kani
IN THIS RESEARCH WORK, THREE DIES WERE USED WITH DIAMETER SIZE REDUCTION OF 12:2, 8:4 AND 4:2.
Reliable data of forming force and deformation can be obtained only if the frictional conditions on the active surfaces of the subsystem "component surface/tool surface" are determined from experimentally obtained values of frictional forces and by the partial coefficients of friction of the metal forming process [3].
Dimensions of extrusion die are selected such that the size reductions are 12:2, 8:4 and 4:2.
Area reduction was more, friction factor value increased for 12:2 die.
From this for maximum reduction ratio die has high friction values.
Online since: June 2008
Authors: Guang Fu Yin, Liu Chen Mou
Data reduction techniques applied to model responses of torque and speed will yield appropriate spectrums representative of simulated work cycle.
Block 2 concerns reducing the continuous raw response data.
These analog data are digitized by utilizing an A / D converter and stored on digital tape.
Digital data reduction techniques are used to obtain desired histograms of torque, speed, accumulated revolutions at specific torque levels, and equivalent stress cycles of specific torque ranges.
Simulation models can provide realistic response data.
Online since: June 2007
Authors: A.C. Igboanugo, E.Francis Ekhuemelo
Methodology This research is a statistical analysis of trends in crashes and injuries using time series data obtained from Federal Road Safety Corps and Federal Office of Statistics, Nigeria.
The data were obtained directly from the primary records of the institutions referred to above: An intervention model was adopted and it is expressed as: Intervention Model, Yt = Intervention Function, F(It) + ARIMA Noise Model, Nt () tt t NIFY +=
From table 1 and also Fig. 1, first abrupt reduction in accident rate occurred in period 4.
Table 1: Actual yt vs tyˆ Estimated Data For all practical purposes, the values estimated with our intervention model compare favourably (see Fig.1).
Specifically, the increased presence of staff of the Federal Road Safety Corps, resulting from the mass intake of staff in 1995 - 1996, led to a very significant reduction in the number of road traffic reduction nation-wide.
Online since: May 2025
Authors: Oluchi Eucharia Nwaichi, Chinemerem Patricks, Daniel Obioma Thomas
aditanig@gmail.com, bnodullm@yahoo.com, cchinemerem.patricks@yahoo.com Keywords: Safety Culture, Human factor engineering, risk reduction, Oil and Gas welding, performance improvement, incident prevention, safety performance, structural integrity Abstract.
Descriptive study design with structured questionnaire was used for data collection and Satistical Package for Social Sciences (SPSS) version 26 Structural equation modelling software for data analysis.
The Oil and Gas industry is one of the most profitable sectors that have contributed to technology advancement, poverty reduction and economic competitiveness of most nations though confronted with diverse hazards with potential to result in accidents and diseases that creates human and economic burdens [4].
The primary instrument utilized for data collection was a structured questionnaire.
Statistical software SPSS version 26 was utilized was used for data analysis.
Online since: August 2014
Authors: Cristophe Bordry, Cristophe Brand, Pavel Erofeev, Artem Papanov, Cassiano Silveira-Freixo, Evgeny Burnaev, Stephane Alestra
The time series before moment T are also known, i.e. we have also a historical data set.
In some cases the most important feature of the data is its temporal correlation.
Learning from Imbalanced Data.
IEEE Transactions on Knowledge and Data Engineering, vol. 21 no. 9 (2009)
Logistic Regression in Rare Events Data.
Online since: May 2011
Authors: Ji Hui Wang, Yan Zi Yin, Yun Dong Ji, Heng Tian, Jiu Xiong Sun
But 3 OF at 0°embedded in bending specimens exhibit about 18.3% reduction, and the effect of 3 OF in the under layer is more than that of 3 OF in the upper layer.
The average of group is gotten from every valid data of specimens.
Although the S3-1/2 at 0°presents the lowest average of tensile strength when 3 OF are embedded, it is only about 8.1% reduction compared to the sample without OF.
And Measures attributed the reduction of less than 10% to manufacturing variations [5].
This can be attributed to manufacturing variations. 2) Only when 3 OF are embedded in the bending sample, it has abou18% reduction. 3) Different embedded layers have different influence (Sample S3-2/3 affected most).
Online since: March 2009
Authors: Gabriele Papadia, Antonio Del Prete, Alfredo Anglani
The first column represents the R2 data, the second column the numerical data, the third and the fourth column the experimental data (the third for the first experiment and the fourth for the second experiment) whereas the final column represents the mean between the data reported in the column Point 1 and Point 1 bis.
Taking into account the numerical data and the experimental data, calculating the regression straight line, approximated with a third order polynomial, of the mean obtained considering all the experimental data, it is possible to obtain a graphic that summarizes the previous information, like it is reported in Figure 8.
Analyzing the experimental data, it is evident a rupture condition in the fourth position (Point 4) for R2=13,98.
In this case there are not relevant data because of the ruptures at the initial phase of the hydroforming process.
In this case there are not relevant data because of the ruptures at the initial phase of the hydroforming process.
Online since: October 2011
Authors: Peng Peng Huang, Jian Guo Yu, Mei Lin Feng, Qi Zhong Zhang
System data modeling System data modeling mainly include several follow stages: demand analysis , concept data model design ,physical data model design and database running.
The design of physical data model is a key part of the system development.
PowerDesigner is used to design data modeling in the system.
SqlServer2005 as the data base management system.
Data model design for manufacturing execution system .J.
Online since: November 2013
Authors: Hong Lei Jia, Chang Ying Li, Zhi Hong Zhang, Hong Chang Wang, Gang Wang
Original image Rgb2gray Imerode Imdilate Edge (LoG operater) Imfill Im2bw(threshold 180) Store points (x,y)coordinates data Fig. 3 Program flow chart 1.3 Theory basis of data-fitting Origin software was used to fit the original data extracted from incisor.
Grasshopper incisors original outer margin data points and fitted polynomial function curves are shown in Fig.6.
Fig.6 Original data points and fitted curves From fig.6 it is known almost all of the line was overlap with the original point data together.
Image of incisor was distinguished and the outline data was obtained in this study.
The contour data was fit successfully and expressed by nine-order polynomial equation.
Online since: January 2012
Authors: Yang Wang, Jiu Zhong Ling, Cai Xia Yu, Xiao Feng
Each modification is calibrated based on the survey data, and mainly applied in the evaluation of influence factors which can't be tested
Table 1 Reduction Coefficient of Traffic Volume V/C Reduction(km/h) Full-size cars Passenger cars 0.14 0 0 0.37 -5 -10 0.54 -8 -15 1.00 — — (2) Modification of mixed rate of full-size car The influence coefficient of full-size cars on passenger cars is calculated based on the percentage(Phv)and reduction coefficient (Ehv)of full-size cars in traffic.
Table 5 Reduction of lateral interference Vj(km/h) Level of lateral interference Reduction of speed(km/h) no 0 ordinary -5.0 serious -10.0 (7)Interference modification of exits and entrances Exits and entrances are relative to the sections in mountainous area.
Visibility function of programmed interface data is strong, which can show plane and vertical alignment chart, index cartogram, highlight of overrun section and so on.
In accordance with the collected measured data to evaluate the application of these systems; the results are shown in Table (abbreviated); running speed and the measured results are very close, as is shown in Fig.2.
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