917 resultados para Traffic engineering computing
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Mode of access: Internet.
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v.1.Study findings.--v.2.Forcasts and plans.
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Bibliography: leaves 26-42 at end.
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"To be presented before the American Electric Railway Transportation and Traffic Association convention held at San Francisco, Cal., June 23 to 26, 1930."
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Mode of access: Internet.
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Chiefly tables.
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Integrated motorist information system (IMIS) feasibility and design study : phase 1 : feasibility /
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Mode of access: Internet.
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Preprint of IRF report, issued June 1977.
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A new framework to perform routing at the autonomous system (AS) level is proposed here. This mechanism, called chain routing framework (CRF), uses complete orders as its main topological unit. Since complete orders are acyclic digraphs that possess a known topology, it is possible to use these acyclic structures to route consistently packets between a group of ASs. The adoption of complete orders also allows easy identification and avoidance of persistent route oscillations, eliminates the possibility of developing transient loops in paths and provides a structure that facilitates the implementation of traffic engineering. Moreover, by combining CRF with other mechanisms that implement complete orders in time, the authors propose that it is possible to design a new routing protocol, which can be more reliable and stable than the border gateway protocol. © 2011 The Institution of Engineering and Technology.
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Florida International University Commencement Ceremony May 1,2012 at US Century Bank Arena ( Session 1) Colleges graduated: College of Education College of Engineering &Computing
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Florida International University Commencement Ceremony December 12,2011 at US Century Bank Arena ( Session 1) Colleges graduated: College of Education College of Engineering &Computing
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The purpose of this work in progress study was to test the concept of recognising plants using images acquired by image sensors in a controlled noise-free environment. The presence of vegetation on railway trackbeds and embankments presents potential problems. Woody plants (e.g. Scots pine, Norway spruce and birch) often establish themselves on railway trackbeds. This may cause problems because legal herbicides are not effective in controlling them; this is particularly the case for conifers. Thus, if maintenance administrators knew the spatial position of plants along the railway system, it may be feasible to mechanically harvest them. Primary data were collected outdoors comprising around 700 leaves and conifer seedlings from 11 species. These were then photographed in a laboratory environment. In order to classify the species in the acquired image set, a machine learning approach known as Bag-of-Features (BoF) was chosen. Irrespective of the chosen type of feature extraction and classifier, the ability to classify a previously unseen plant correctly was greater than 85%. The maintenance planning of vegetation control could be improved if plants were recognised and localised. It may be feasible to mechanically harvest them (in particular, woody plants). In addition, listed endangered species growing on the trackbeds can be avoided. Both cases are likely to reduce the amount of herbicides, which often is in the interest of public opinion. Bearing in mind that natural objects like plants are often more heterogeneous within their own class rather than outside it, the results do indeed present a stable classification performance, which is a sound prerequisite in order to later take the next step to include a natural background. Where relevant, species can also be listed under the Endangered Species Act.