Spelling suggestions: "subject:"1activity rate"" "subject:"2activity rate""
1 |
Participation of African immigrants in the labour force of South Africa: Insights from the 2001 population census.Mohammed, Isam Yasin Adb Elgadir. January 2008 (has links)
<p>The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants&rsquo / participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status.</p>
|
2 |
Participation of African immigrants in the labour force of South Africa: Insights from the 2001 population census.Mohammed, Isam Yasin Adb Elgadir. January 2008 (has links)
<p>The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants&rsquo / participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status.</p>
|
3 |
Participation of African immigrants in the labour force of South Africa: Insights from the 2001 population censusMohammed, Isam Yasin Adb Elgadir January 2008 (has links)
Magister Philosophiae - MPhil / The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants; participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status. / South Africa
|
4 |
Statistical Analysis of Specific Secondary Circuit Effect under Fault Insertion in 22 nm FD-SOI Technology NodeMcKinsey, Vince Allen January 2021 (has links)
No description available.
|
5 |
Reducing Power in FPGA Designs Through Glitch ReductionRollins, Nathaniel Hatley 27 February 2007 (has links) (PDF)
While FPGAs provide flexibility for performing high performance DSP functions, they consume a significant amount of power. Often, a large portion of the dynamic power is wasted on unproductive signal glitches. Reducing glitching reduces dynamic energy consumption. In this study, retiming is used to reduce the unproductive energy wasted in signal glitches. Retiming can reduce energy by up to 92%. Evaluating energy consumption is an important part of energy reduction. In this work, an activity rate-based power estimation tool is introduced to provide FPGA architecture independent energy estimations at the gate level. This tool can accurately estimate power consumption to within 13% on average. This activation rate-based tool and retiming are combined in a single algorithm to reduce energy consumption of FPGA designs at the gate level. In this work, an energy evaluation metric called energy area delay is used to weigh the energy reduction and clock rate improvements gained from retiming against the area and latency costs. For a set of benchmark designs, the algorithm that combines retiming and the activation rate-based power estimator reduces power on average by 40% and improves clock rate by 54% for an average 1.1x area cost and a 1.5x latency increase.
|
Page generated in 0.0405 seconds