5,533 research outputs found
Geometric Universality of Currents
We discuss a non-equilibrium statistical system on a graph or network.
Identical particles are injected, interact with each other, traverse, and leave
the graph in a stochastic manner described in terms of Poisson rates, possibly
dependent on time and instantaneous occupation numbers at the nodes of the
graph. We show that under the assumption of constancy of the relative rates,
the system demonstrates a profound statistical symmetry, resulting in geometric
universality of the statistics of the particle currents. This phenomenon
applies broadly to many man-made and natural open stochastic systems, such as
queuing of packages over the internet, transport of electrons and
quasi-particles in mesoscopic systems, and chains of reactions in bio-chemical
networks. We illustrate the utility of our general approach using two enabling
examples from the two latter disciplines.Comment: 15 pages, 5 figure
SqORAM: Read-Optimized Sequential Write-Only Oblivious RAM
Oblivious RAM protocols (ORAMs) allow a client to access data from an
untrusted storage device without revealing the access patterns. Typically, the
ORAM adversary can observe both read and write accesses. Write-only ORAMs
target a more practical, {\em multi-snapshot adversary} only monitoring client
writes -- typical for plausible deniability and censorship-resilient systems.
This allows write-only ORAMs to achieve significantly-better asymptotic
performance. However, these apparent gains do not materialize in real
deployments primarily due to the random data placement strategies used to break
correlations between logical and physical namespaces, a required property for
write access privacy. Random access performs poorly on both rotational disks
and SSDs (often increasing wear significantly, and interfering with
wear-leveling mechanisms). In this work, we introduce SqORAM, a new
locality-preserving write-only ORAM that preserves write access privacy without
requiring random data access. Data blocks close to each other in the logical
domain land in close proximity on the physical media. Importantly, SqORAM
maintains this data locality property over time, significantly increasing read
throughput. A full Linux kernel-level implementation of SqORAM is 100x faster
than non locality-preserving solutions for standard workloads and is 60-100%
faster than the state-of-the-art for typical file system workloads
Computer Vision Techniques for Background Modeling in Urban Traffic Monitoring
Jose Manuel Milla, Sergio Luis Toral, Manuel Vargas and Federico Barrero (2010). Computer Vision Techniques for Background Modeling in Urban Traffic Monitoring, Urban Transport and Hybrid Vehicles, Seref Soylu (Ed.), ISBN: 978-953-307-100-8, InTech, DOI: 10.5772/10179. Available from: http://www.intechopen.com/books/urban-transport-and-hybrid-vehicles/computer-vision-techniques-for-background-modeling-in-urban-traffic-monitoringIn this chapter, several background modelling techniques have been described, analyzed and tested. In particular, different algorithms based on sigma-delta filter have been considered due to their suitability for embedded systems, where computational limitations affect a real-time implementation. A qualitative and a quantitative comparison have been performed among the different algorithms. Obtained results show that the sigma-delta algorithm with confidence measurement exhibits the best performance in terms of adaptation to particular specificities of urban traffic scenes and in terms of computational requirements. A prototype based on an ARM processor has been implemented to test the different versions of the sigma-delta algorithm and to illustrate several applications related to vehicle traffic monitoring and implementation details
Development of Transportation Master Plan Rafah Governorate, 2030
4.1 Design Criteria 9 4.1. 1 Roadway Sections 9 4.1. 2 Intersections 12 4.1. 3 Off-Street Parking Areas (Taxi stations) 13 4.1. 4 The Level of Service (LOS) 13 4.1. 5 Warrants for the use of traffic signals 14 4.2 Planning Horizon 15 4.3 Transportation Modeling 1
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