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.

A Brief Introduction to Named Data Networking

Abstract: As a proposed Internet architecture, Named Data Networking (NDN) is designed to network the world of computing devices by naming data instead of naming data containers as IP does today. With this change, NDN brings a number of benefits to network communication, including built-in multicast, in-network caching, multipath forwarding, and securing data directly. NDN also enables resilient communication in intermittently connected and mobile ad hoc environments, which is difficult to achieve by today's TCP/IP architecture. This paper offers a brief introduction to NDN's basic concepts and operations, together with an extensive reference list for the design and development of NDN for readers interested in further exploration of the subject.

Towards effective and rewarding data sharing.

Abstract: Recently issued NIH policy statement and implementation guidelines (National Institutes of Health, 2003) promote the sharing of research data. While urging that “all data should be considered for data sharing” and “data should be made as widely and freely available as possible” the current policy requires only high-direct-cost (>US$500,000/yr) grantees to share research data, starting 1 October 2003. Data sharing is central to science, and we agree that data should be made available.

Algorithms for speeding up distance-based outlier detection

Abstract: The problem of distance-based outlier detection is difficult to solve efficiently in very large datasets because of potential quadratic time complexity. We address this problem and develop sequential and distributed algorithms that are significantly more efficient than state-of-the-art methods while still guaranteeing the same outliers. By combining simple but effective indexing and disk block accessing techniques, we have developed a sequential algorithm iOrca that is up to an order-of-magnitude faster than the state-of-the-art. The indexing scheme is based on sorting the data points in order of increasing distance from a fixed reference point and then accessing those points based on this sorted order. To speed up the basic outlier detection technique, we develop two distributed algorithms (DOoR and iDOoR) for modern distributed multi-core clusters of machines, connected on a ring topology. The first algorithm passes data blocks from each machine around the ring, incrementally updating the nearest neighbors of the points passed. By maintaining a cutoff threshold, it is able to prune a large number of points in a distributed fashion. The second distributed algorithm extends this basic idea with the indexing scheme discussed earlier. In our experiments, both distributed algorithms exhibit significant improvements compared to the state-of-the-art distributed method [13].

Machine learning of event segmentation for news on demand

Abstract: There are many different types of multimedia videos found in the world today—consider home videos, surveillance camera videos, television broadcasts as general categories. Commercial users, government personnel, and home consumers all have specific requirements to search these videos for topics and/or events. In order to support user query for these elements of interest , multimedia systems must segment and retrieve relevant segments of information. With advances in video digitization, annotation and extraction, automated multimedia processing systems are being created for many of the various video types. In these systems, event segmentation occurs manually, semiautomatically, or automatically. Each type of multimedia video has varying levels of structure. For example, a home video may contain stories of a vacation, child's birthday party, and Christmas morning. The birthday party story may contain events of a child blowing out the candles, opening gifts, and playing games. In some stories , there may only be one event per story. The event pertaining to the child blowing out the candles may contain shots of the child's excitement of the oncoming cake, the friends singing, and the News on Demand FOR OF Deconstructing broadcast news using all sources of input from the multimedia stream.

Robust Detection of Ionospheric Irregularities

Abstract: The Wide Area Augmentation System (WAAS) will provide real-time differential GPS corrections and integrity information for aircraft navigation use. The most stringent application of this system will be precision approach, where the system guides the aircraft to within a few hundred feet of the ground. Precision approach operations require the use of differential ionospheric corrections. WAAS must incorporate information from reference stations to create a correction map of the ionosphere. More importantly, this map must contain confidence bounds describing the integrity of the corrections. The confidence bounds must be large enough to describe the error in the correction, but tight enough to allow the operation to proceed. The difficulty in generating these corrections is that the reference station measurements are not co-located with the aviation user measurements. For an undisturbed ionosphere over the Conterminous United States (CONUS), this is not a problem as the ionosphere is nominally well behaved. However, a concern is that irregularities in the ionosphere will decrease the correlation between the ionosphere observed by the reference stations and that seen by the user. Therefore, it is essential to detect when such irregularities may be present and adjust the confidence bounds accordingly. The approach outlined in this paper conservatively bounds the ionospheric errors even for the worst observed ionospheric conditions to date, using data sets taken from the operational receivers in the WAAS reference station network. As we progress through the current solar cycle and gather more data on the behavior of the ionosphere, many of our pessimistic assumptions will be relaxed. This will result in higher availability while maintaining full integrity.