Mitre Corporation

About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.

"It's about the information stupid!": why we need a separate field of human-information interaction

Abstract: The past few years have seen increasing discussion of the need for, even the inevitability of, a field of human-information interaction (HII) - as either a major sub-branch of human-computer interaction (HCI) or as a separate field altogether. The "I" in HII implies a focus on information and not computing technology. But what does this mean? Is there any way to focus on information without also considering the supporting tools, applications, and gadgets that are enabled by computing technology? The panel will explore both the pros and cons in favor of a separate field of HII. Panelists provide a diversity of perspectives from several disciplines and research traditions including cognitive modeling and the study of human cognition, information science, information architecture, personal information management, ethnography and anthropology.

Performance of magnetic suspensions for high-speed vehicles operating over flexible guideways

Abstract: This paper examines the performance of attraction (ferromagnetic) and repulsion (superconducting) MAG-LEV Suspensions suitable for use on high-speed ground vehicles. The effects of guideway roughness, guideway flexibility and of force nonlinearities are examined. It is concluded that for the particular cases examined here, MAG-LEV suspension systems for 300-mph vehicles which provide reliable tracking while meeting ride quality criteria can be designed. It is also apparent that a considerable effort is required to achieve MAG-LEV system optimization and refinement.

Analysis of AIRE Continuous Descent Arrival operations at Atlanta and Miami

Abstract: A continuous descent arrival (CDA) is a cockpit based flight technique characterized by operations that descend continuously at or near idle power settings resulting in reduced noise and emissions compared to standard stair-step arrival techniques. The development of published optimized profile descent (OPD) procedures that permit use of the CDA technique is generally considered to be a key step in the modernization of air traffic operations. The Atlantic interoperability initiative to reduce emissions (AIRE) program, a partnership between the federal aviation administration (FAA) and the European commission (EC), developed and demonstrated CDA compatible OPD procedures as one of several key initiatives geared towards reducing aviationpsilas environmental footprint. The demonstrations were conducted at Hartsfield-Jackson Atlanta international airport (ATL) and Miami international airport (MIA) in May of 2008. The MITRE corporationpsilas center for advanced aviation system development (CAASD) was tasked by the FAA to facilitate the procedure development process, assist in demonstration coordination, address air traffic control (ATC) familiarization issues through human-in-the-loop (HITL) simulations, and conduct modeling and operational benefits analysis of the resulting demonstration flights. Fuel savings of 37 gallons per flight were estimated for ATL demonstration flights, and fuel savings of 49 gallons per flight were estimated for MIA demonstration flights. Key operational issues were identified as the result of HITL simulations, and airspace impacts of implementing an OPD procedure for CDA technique usage were captured from analysis of the demonstration flights as well as data from the HITL simulation.

Ultra-high compression of images based on deep learning

Abstract: A system for machine learning model parameters for image compression, including partitioning image files into a first set of regions, determining a first set of machine learned model parameters based on the regions, the first set of machine learned model parameters representing a first level of patterns in the image files, constructing a representation of each of the regions based on the first set of machine learned model parameters, constructing representations of the image files by combining the representations of the regions in the first set of regions, partitioning the representations of the image files into a second set of regions, and determining a second set of machine learned model parameters based on the second set of regions, the second set of machine learned model parameters representing a second level of patterns in the image files.

Integration Workbench: Integrating Schema Integration Tools

Abstract: A key aspect of any data integration endeavor is establishing a transformation that translates instances of one or more source schemata into instances of a target schema. This schema integration task must be tackled regardless of the integration architecture or mapping formalism. In this paper we provide a task model for schema integration. We use this breakdown to motivate a workbench for schema integration in which multiple tools share a common knowledge repository. In particular, the workbench facilitates the interoperation of research prototypes for schema matching (which automatically identify likely semantic correspondences) with commercial schema mapping tools (which help produce instance-level transformations). Currently, each of these tools provides its own ad hoc representation of schemata and mappings; combining these tools requires aligning these representations. The workbench provides a common representation so that these tools can more rapidly be combined.