24 research outputs found

    From Earth to Orbit: An assessment of transportation options

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    The report assesses the requirements, benefits, technological feasibility, and roles of Earth-to-Orbit transportation systems and options that could be developed in support of future national space programs. Transportation requirements, including those for Mission-to-Planet Earth, Space Station Freedom assembly and operation, human exploration of space, space science missions, and other major civil space missions are examined. These requirements are compared with existing, planned, and potential launch capabilities, including expendable launch vehicles (ELV's), the Space Shuttle, the National Launch System (NLS), and new launch options. In addition, the report examines propulsion systems in the context of various launch vehicles. These include the Advanced Solid Rocket Motor (ASRM), the Redesigned Solid Rocket Motor (RSRM), the Solid Rocket Motor Upgrade (SRMU), the Space Shuttle Main Engine (SSME), the Space Transportation Main Engine (STME), existing expendable launch vehicle engines, and liquid-oxygen/hydrocarbon engines. Consideration is given to systems that have been proposed to accomplish the national interests in relatively cost effective ways, with the recognition that safety and reliability contribute to cost-effectiveness. Related resources, including technology, propulsion test facilities, and manufacturing capabilities are also discussed

    Campus Vol IV N 2

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    Hodgson, Don. Big Red On The Radio . Prose. 2. Hauser, Bill. After Hours Almanac . Prose. 4. Ide, Don and Bob Porter. I Remember D-Day . Picture. 6. Hawk, Bob. The Shysters: Drama in The Counselor\u27s Office a la Hemingway . Prose. 7. McGlone, Joe and Tom Rees. Terpischore Takes Over . Picture. 8. Parker, Chris. Nuns Fret Not . Prose. 9. Johnston, Ed. Fashions For Men . Prose. 10. Barton, Rusty. Fashions For Women . Prose. 11. Matthews, Jack and Joe McGlone. Campus Congratulates . Picture. 12. Rossi, Bob. Doane * 9:55 . Picture. 14. Bedell, Barrie and John Hodges. Ballroom to Boudoir . 15. Anonymous. Calender Girls For \u2750 . Picture. 16. Wittich, Hugh. Prelude . Prose. 20. Chase, Dick. The Intramural Saga . Prose. 21. Kruger, Ben. Column For Contributors . Prose. 22. Taggart, Marilou. Leaves, Oh Man! . Poem. 22. Taggart, Marilou. Christmas Fugue . Poem. 22. Froth. Untitled. Prose. 24. Anonymous. Untitled. Cartoon. 24. Optekar, Pat. Polyphemis\u27 Wrath . Prose. 5

    The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions

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    The ability to communicate is one of the core aspects of human life. For this, we use not only verbal but also nonverbal signals of remarkable complexity. Among the latter, facial expressions belong to the most important information channels. Despite the large variety of facial expressions we use in daily life, research on facial expressions has so far mostly focused on the emotional aspect. Consequently, most databases of facial expressions available to the research community also include only emotional expressions, neglecting the largely unexplored aspect of conversational expressions. To fill this gap, we present the MPI facial expression database, which contains a large variety of natural emotional and conversational expressions. The database contains 55 different facial expressions performed by 19 German participants. Expressions were elicited with the help of a method-acting protocol, which guarantees both well-defined and natural facial expressions. The method-acting protocol was based on every-day scenarios, which are used to define the necessary context information for each expression. All facial expressions are available in three repetitions, in two intensities, as well as from three different camera angles. A detailed frame annotation is provided, from which a dynamic and a static version of the database have been created. In addition to describing the database in detail, we also present the results of an experiment with two conditions that serve to validate the context scenarios as well as the naturalness and recognizability of the video sequences. Our results provide clear evidence that conversational expressions can be recognized surprisingly well from visual information alone. The MPI facial expression database will enable researchers from different research fields (including the perceptual and cognitive sciences, but also affective computing, as well as computer vision) to investigate the processing of a wider range of natural facial expressions
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