5,156 research outputs found

    Industrialization, the new economy, and the occupational work ethic

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    The entrepreneurial spirit is alive and well in the new international economy. The information age, the internet, along with e-commerce, e-communication, and e-learning are changing the way businesses and workers interact, communicate and problem solve. The challenges of these multitude of demands on today’s workers has greatly altered our traditional knowledge of the world of work. Vocational educators and trainers worldwide are now faced with a myriad of training challenges. Perhaps the most salient challenge is the understanding and communicating (teaching) of a work ethic suitable for the workplace of this new age

    The implications of a University of Louisville first year experience course on student success outcomes based on race and gender.

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    Extant research has shown that across U.S. institutions, the first and second years of college are the most precarious because of high attrition rates. To address this, many colleges and universities implement First Year Experience (FYE) interventions with hopes of increasing first year GPA, retention rates, and overall college success. Over 90% of colleges and universities either offer or make these FYE interventions mandatory for their first-year/first-time freshmen. There is a large body of research regarding the association of FYE interventions and student outcomes, but the findings are mixed. Extant literature also does little to focus on FYE student outcomes based on race/ethnicity and gender, which is an identified gap and one this study fills. This dissertation is a quantitative examination of a FYE at the University of Louisville, GEN 101. GEN 101 is an example of a First Year Seminar (FYS). FYS courses are a type of FYE. The contextual framework of this dissertation is based on Tinto’s Student Integration Model and concepts of academic and social integration. GEN 101 is required for graduation. All incoming freshmen are encouraged to take it their first semester. Since this course is required and extant literature provides mixed findings about the efficacy of FYE courses, I analyzed associations between GEN 101 completion and first semester GPA along with fall-to-fall retention outcomes. My focus was how African American and Latino students fared in comparison to White students and how women fared in comparison to men. My study results suggested fall GEN 101 completion resulted in higher first semester GPA’s when compared with spring GEN 101 completion. It also suggested female students had a greater chance of being retained into their second year than their male counterparts, all else held constant. African American and Latino students had less of a chance of being retained than White students into their second year, but Latinos were retained at greater rates than African Americans. Taking GEN 101 in the fall was associated with greater outcomes than taking it in the spring and this association intensified when race/ethnicity and gender were considered. Specifically, being an African American male student was associated with greater FYE retention outcomes and being a male in general was associated with greater FYE GPA outcomes

    DSN G/T(sub op) and telecommunications system performance

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    Provided here is an intersystem comparison of present and evolving Deep Space Network (DSN) microwave receiving systems. Comparisons of the receiving systems are based on the widely used G/T sub op figure of merit, which is defined as antenna gain divided by operating system noise temperature. In 10 years, it is expected that the DSN 32 GHz microwave receiving system will improve the G/T sub op performance over the current 8.4 GHz system by 8.3 dB. To compare future telecommunications system end-to-end performance, both the receiving systems' G/T sub op and spacecraft transmit parameters are used. Improving the 32 GHz spacecraft transmitter system is shown to increase the end-to-end telecommunications system performance an additional 3.2 dB, for a net improvement of 11.5 dB. These values are without a planet in the field of view (FOV). A Saturn mission is used for an example calculation to indicate the degradation in performance with a planet in the field of view

    A precision DC-potentiometer microwave insertion-loss test set

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    Precision dc potentiometer microwave insertion loss test set for calibrating low noise microwave receiving systems used in space communication

    Safe2Ditch Steer-To-Clear Development and Flight Testing

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    This paper describes a series of small unmanned aerial system (sUAS) flights performed at NASA Langley Research Center in April and May of 2019 to test a newly added Steer-to-Clear feature for the Safe2Ditch (S2D) prototype system. S2D is an autonomous crash management system for sUAS. Its function is to detect the onset of an emergency for an autonomous vehicle, and to enable that vehicle in distress to execute safe landings to avoid injuring people on the ground or damaging property. Flight tests were conducted at the City Environment Range for Testing Autonomous Integrated Navigation (CERTAIN) range at NASA Langley. Prior testing of S2D focused on rerouting to an alternate ditch site when an occupant was detected in the primary ditch site. For Steer-to-Clear testing, S2D was limited to a single ditch site option to force engagement of the Steer-to-Clear mode. The implementation of Steer-to-Clear for the flight prototype used a simple method to divide the target ditch site into four quadrants. An RC car was driven in circles in one quadrant to simulate an occupant in that ditch site. A simple implementation of Steer-to- Clear was programmed to land in the opposite quadrant to maximize distance to the occupants quadrant. A successful mission was tallied when this occurred. Out of nineteen flights, thirteen resulted in successful missions. Data logs from the flight vehicle and the RC car indicated that unsuccessful missions were due to geolocation error between the actual location of the RC car and the derived location of it by the Vision Assisted Landing component of S2D on the flight vehicle. Video data indicated that while the Vision Assisted Landing component reliably identified the location of the ditch site occupant in the image frame, the conversion of the occupants location to earth coordinates was sometimes adversely impacted by errors in sensor data needed to perform the transformation. Logged sensor data was analyzed to attempt to identify the primary error sources and their impact on the geolocation accuracy. Three trends were observed in the data evaluation phase. In one trend, errors in geolocation were relatively large at the flight vehicles cruise altitude, but reduced as the vehicle descended. This was the expected behavior and was attributed to sensor errors of the inertial measurement unit (IMU). The second trend showed distinct sinusoidal error for the entire descent that did not always reduce with altitude. The third trend showed high scatter in the data, which did not correlate well with altitude. Possible sources of observed error and compensation techniques are discussed

    Sea ice roughness overlooked as a key source of uncertainty in CryoSat-2 ice freeboard retrievals

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    ESA's CryoSat‐2 has transformed the way we monitor Arctic sea ice, providing routine measurements of the ice thickness with near basin‐wide coverage. Past studies have shown that uncertainties in the sea ice thickness retrievals can be introduced at several steps of the processing chain, for instance in the estimation of snow depth, and snow and sea ice densities. Here, we apply a new physical model to CryoSat‐2 which further reveals sea ice surface roughness as a key overlooked feature of the conventional retrieval process. High‐resolution airborne observations demonstrate that snow and sea ice surface topography can be better characterized by a Lognormal distribution, which varies based on the ice age and surface roughness within a CryoSat‐2 footprint, than a Gaussian distribution. Based on these observations, we perform a set of simulations for the CryoSat‐2 echo waveform over ‘virtual’ sea ice surfaces with a range of roughness and radar backscattering configurations. By accounting for the variable roughness, our new Lognormal retracker produces sea ice freeboards which compare well with those derived from NASA's Operation IceBridge airborne data and extends the capability of CryoSat‐2 to profile the thinnest/smoothest sea ice and thickest/roughest ice. Our results indicate that the variable ice surface roughness contributes a systematic uncertainty in sea ice thickness of up to 20% over first‐year ice and 30% over multi‐year ice, representing one of the principal sources of pan‐Arctic sea ice thickness uncertainty
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