Boost through reentry trajectory planning for maneuvering reentry vehicles

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.Cataloged from PDF version of thesis.Includes bibliographical references (p. 241-243).New trajectory planning concepts are explored for rapidly planning a long range, boost-through- reentry mission, using a lightweight, highly maneuverable reentry vehicle. An Aimpoint Map, a set of all possible piercepoints through which a boost-through-reentry trajectory can be flown to a fixed target, contains valuable information about the joint capabilities of the booster and the reentry vehicle. At each piercepoint in the Aimpoint Map, a set of velocities and flight path angles exist that can be reached from launch as well as a set of velocities and flight path angles that allow the target to be reached from the piercepoint. The intersection of these velocity and flight path angle sets provides important information for the trajectory planner about the margins available at each piercepoint in the Aimpoint Map. Boost-through-reentry trajectory optimization is used with a six degrees-of-freedom (6DOF) vehicle model to provide a quantitative assessment of the limiting capabilities of the vehicle flight subject to complex terminal and path constraints. Particular constraints of interest include energy management, max g's, heating rate, final velocity and flight path angle, angle of attack, over-flight considerations, approach azimuth, and booster stage disposal.by Matthew James Abrahamson.S.M

2018-2019 Lynn University Wind Ensemble - The Wind Concerto: Movement 2, Crossover Concerti

Program Tha Avatar / Dana Wilson - Isaac Roles, bassoon Concerto for Flute and Wind Ensemble / Mike Mower - Timothy Fernando, flute Ebony Concerto / Igor Stravinsky - James Abrahamson, clarinet Four Temperaments for Tuba / Michael Brand - Steve Campbell, tuba Harvest: Concerto for Trombone / John Mackey - John Faieta, trombonehttps://spiral.lynn.edu/conservatory_windensemble/1014/thumbnail.jp

Dispelling the myths of online education: learning via the information superhighway

There continues to be a perception that online education is inferior to traditional education. In the U.S. online learning is more developed than in the U.K. This paper provides insights into a U.S. provision and takes a close look at what are perceived as weaknesses of on line learning and argues that these are not necessarily inherent weaknesses of this form of educational delivery. Then, results of two major studies, undertaken in the U.S. are provided comparing the effectiveness of online education to traditional education as perceived by current MBA students and past graduates. Results of these studies suggest that students of MBA modules and MBA graduates perceive the quality and effectiveness of online education to be similar to, if not higher than, the quality and effectiveness of traditional modules and programmes

Exploring the Effect of Minimum Magnitude on California Seismic Hazard Maps

A recent topic of interest is the performance of probabilistic seismic hazard maps relative to historical shaking datasets. Maps developed for different countries appear to overpredict shaking relative to historical shaking datasets. To explore whether this discrepancy arises because of incompleteness in historical datasets, we consider maps and historical data from California. Current probabilistic seismic hazard maps for California appear to predict stronger short period shaking than historical maxima captured by the California Historical Intensity Mapping Project (CHIMP) dataset between 1857 and 2019. We estimate that CHIMP has a magnitude completeness between M 6-6.6, whereas California hazard maps assume a minimum magnitude (MMin) of 5. Disaggregating the maps shows that earthquakes smaller than M 6 and 6.6 respectfully contribute about 25% and 45% of the hazard across California. Increasing the hazard map's MMin to 6 and 6.6 respectively reduces the discrepancy between predicted and observed shaking by approximately 10-20% and 30-35%. These reductions are not enough to bring the maps and data in alignment. Thus, MMin inconsistencies contribute to, but are not the sole cause of, the discrepancy between predicted and historically observed shaking. These results may be generally applicable to maps elsewhere, although MMin will vary for different historical datasets

2017-2018 Mostly Music: Ludwig van Beethoven

https://spiral.lynn.edu/conservatory_mostlymusic/1030/thumbnail.jp

2017-2018 Mostly Music: Franz Joseph Haydn

https://spiral.lynn.edu/conservatory_mostlymusic/1029/thumbnail.jp

Lynn Chamber Music Competition 2017

Judges Dr. Francesca Arnone Renate Falkner Joseph Robinson Winners (New York Prize) Fantasia Trio: David Brill (violin), Niki Khabbazvahed (cello), Guzal Ismetdinova (piano) Winners Concert on May 1, 2018 at Kosciuszko Foundation Winners (Miami Prize) Syzygy Wind Quintet: Emilio Ruttlant (flute), Trevor Mansell (oboe), James Abrahamson (clarinet), James Currence (horn), and Isaac Roles (bassoon)https://spiral.lynn.edu/conservatory_chamber-music-competition/1002/thumbnail.jp