1,244 research outputs found
Handling qualities of large flexible control-configured aircraft
The effects on handling qualities of low frequency symmetric elastic mode interaction with the rigid body dynamics of a large flexible aircraft was analyzed by use of a mathematical pilot modeling computer simulation. An extension of the optimal control model for a human pilot was made so that the mode interaction effects on the pilot's control task could be assessed. Pilot ratings were determined for a longitudinal tracking task with parametric variations in the undamped natural frequencies of the two lowest frequency symmetric elastic modes made to induce varying amounts of mode interaction. Relating numerical performance index values associated with the frequency variations used in several dynamic cases, to a numerical Cooper-Harper pilot rating has proved successful in discriminating when the mathematical pilot can or cannot separate rigid from elastic response in the tracking task
Does offshoring reduce industry employment?
This paper looks at the implications of offshoring for industry employment whilst explicitly accounting for the scale and technology effects of offshoring. The effects of offshoring on employment are analysed using industry-level data for 17 high income OECD countries. Our findings indicate that offshoring has no effect or a slight positive effect on sectoral employment. Offshoring within the same industry (âintra-industry offshoringâ) reduces the labour-intensity of production, but does not affect overall industry employment. Inter-industry offshoring does not affect labour-intensity, but may have a positive effect on overall industry employment. These findings suggest that the productivity gains from offshoring are sufficiently large that the jobs created by higher sales completely offset the jobs lost by relocating certain production stages to foreign production sites.international outsourcing, labour demand
Offshoring, Labour Market Institutions and the Elasticity of Labour Demand
This paper analyses the evolution of the elasticity of labour demand and the role of offshoring therein using industry-level data for a large number of OECD countries. The first main finding is that the wage elasticity of labour demand has increased substantially. The finding that employment has become increasingly sensitivity to wages is shown to be robust to a wide variety of econometric specifications of labour demand, although some of this association may reflect a trend increase in the speed of adjustment rather than an increase in the long-run wage elasticity. A second finding is that more intensive offshoring is associated with more elastic labour demand, consistent with increased offshoring having expanded the flexibility of firms to adjust the mix of domestic workers and foreign value-added in production when relative factor prices change. More in particular, the average elasticity of labour demand appears to be about 30% to 40% larger in absolute value than the counter-factual elasticity which would have prevailed had offshoring not been possible. Increases of this magnitude might well have important implications for job security and worker bargaining power. Finally, we find some evidence that strict employment protection legislation weakens the link between offshoring and higher labour demand elasticity. This suggests that the impact of offshoring on labour demand elasticity depends on the national institutional environment.Employment protection legislation, international outsourcing, labour demand, worker insecurity
Economic Impact of Collegiate Bass Tournaments: Experiences from Auburn University
Recreation and tourism associated with collegiate bass tournaments can play a major role in local economic development as the dollars anglers and tournament organizers spend work their way through the economy. Spending associated with these events show the interest by participants and economic importance to the community which hosted these events.Economic Impact, Anglers, Bass tournaments, Community/Rural/Urban Development,
Characteristics of Private Schools in the United States: Results From the 2011-12 Private School Universe Survey
In 1988, the National Center for Education Statistics (NCES) developed a private school data collection that improved on the sporadic collection of private school data dating back to 1890 bydeveloping an alternative to commercially available private school sampling frames. Since 1989, the U.S. Bureau of the Census has conducted the biennial Private School Universe Survey (PSS) for NCES. The PSS is designed to generate biennial data on the total number of private schools, students, and teachers, and to build a universe of private schools to serve as a sampling frame of private schools for NCES sample surveys. For more information about the methodology and design of the PSS, please see the Technical Notes in appendix B of this report. The target population for the PSS is all schools in the 50 states and the District of Columbia that are not supported primarily by public funds, provide classroom instruction for one or more of grades kindergarten through 12 (or comparable ungraded levels), and have one or more teachers. Organizations or institutions that provide support for home schooling, but do not provide classroom instruction, are not included. The 2011 -- 12 PSS data were collected between September 2011 and May 2012. All data are for the 2011 -- 12 school year except the high school graduate data, which are for the 2010 -- 11 school year.Because the purpose of this report is to introduce new NCES survey data through the presentation of tables containing descriptive information, only selected findings are listed below. These findings are purely descriptive in nature and are not meant to imply causality. These findings have been chosen to demonstrate the range of information available from the 2011 -- 12 PSS rather than to discuss all of the observed differences, emphasize any particular issue, or make comparisons over time.The tables in this report contain counts and percentages demonstrating bivariate relationships. All of the results have been weighted to reflect the sample design and to account for nonresponse and other adjustments. Comparisons drawn in the selected findings have been tested for statistical significance at the .05 level using Student's t statistics to ensure that the differences are larger than those that might be expected due to sampling variation. No adjustments were made for multiple comparisons. Many of the variables examined are related to one another, and complex interactions and relationships have not been explored. Statistical Analysis Software (SAS 9.2) and SUDAAN (10.0) were used to compute the statistics for this report
A unique formulation of elastic airplane longitudinal equations of motion
Control-configured vehicle technology has increased the demand for detailed analysis of dynamic stability and control, handling and ride qualities, and control system dynamics at early stages of preliminary design. An approximate, but reasonably accurate, set of equations of motion are needed for these early analyses. Such a formulation is developed for the longitudinal dynamics of elastic airplanes. It makes use of only rigid-body aerodynamic stability derivatives in formulating the forces and moments due to elastic motion. Verification of accuracy using data for the B-1 airplane shows very good agreement. Frequencies and damping ratios of the coupled modes corresponding to complex roots of the characteristic equations agree closely with four symmetric elastic modes included
Effects of dynamic aeroelasticity on handling qualities and pilot rating
Pilot performance parameters, such as pilot ratings, tracking errors, and pilot comments were determined for a longitudinal pitch tracking task using a large, flexible bomber with parametric variations in the undamped natural frequencies of the two lowest frequency symmetric elastic modes. This pitch tracking task was programmed on a fixed base simulator with an electronic attitude-director display of pitch command, pitch angle, and pitch error. Low frequency structural flexibility significantly affects the handling qualities and pilot ratings in the task evaluated
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