Agent Organization and Request Propagation in the Knowledge Plane

In designing and building a network like the Internet, we continue to face the problems of scale and distribution. In particular, network management has become an increasingly difficult task, and network applications often need to maintain efficient connectivity graphs for various purposes. The knowledge plane was proposed as a new construct to improve network management and applications. In this proposal, I propose an application-independent mechanism to support the construction of application-specific connectivity graphs. Specifically, I propose to build a network knowledge plane and multiple sub-planes for different areas of network services. The network knowledge plane provides valuable knowledge about the Internet to the sub-planes, and each sub-plane constructs its own connectivity graph using network knowledge and knowledge in its own specific area. I focus on two key design issues: (1) a region-based architecture for agent organization; (2) knowledge dissemination and request propagation. Network management and applications benefit from the underlying network knowledge plane and sub-planes. To demonstrate the effectiveness of this mechanism, I conduct case studies in network management and security

Self-* Features for Semantic Networking

http://www.fitramen.eu/program.htmInternational audienceWe propose the Semantic Networking concept as a candidate for the Internet of the Future. Re-thinking of the architectural and functional paradigms is needed to face scalability and complexity issues in the current Internet developments. A fundamental of our proposal is to reconsider all the networking and service operations based on the flow granularity, thus beyond packet or circuit paradigms. This is enabled by the awareness of the transported traffic, thanks to a combined Deep Packet Inspection and Behavioral Analysis approach. Together with the flow-based and traffic-aware features, Autonomic Networking is considered as a pillar of this concept which leads in turn to specific requirements. This paper is an introduction to autonomic features which should be instantiated as per the Semantic Networking goals, within the traffic-aware data plane ("Semantic Analysis", "Elastic Fluid Switching"), the flow-based control plane ("Flow Admission Control", "Flow Policing", "Traffic Aware Routing"), and the self-management plane ("Network Mining", "Knowledge Plane"). We describe each of these functional building blocks, their interactions, the requirements for their autonomic (or self-*) features, and their localization in transport network nodes to transform them into "semantic network nodes"

Class Separation Improvements in Pixel Classification Using Colour Injection

This paper presents an improvement in the colour image segmentation in the Hue Saturation (HS) sub-space. The authors propose to inject (add) a colour vector in the Red Green Blue (RGB) space to increase the class separation in the HS plane. The goal of the work is the development of an algorithm to obtain the optimal colour vector for injection that maximizes the separation between the classes in the HS plane. The chromatic Chrominace-1 Chrominance-2 sub-space (of the Luminance Chrominace-1 Chrominance-2 (YC1C2) space) is used to obtain the optimal vector to add. The proposal is applied on each frame of a colour image sequence in real-time. It has been tested in applications with reduced contrast between the colours of the background and the object, and particularly when the size of the object is very small in comparison with the size of the captured scene. Numerous tests have confirmed that this proposal improves the segmentation process, considerably reducing the effects of the variation of the light intensity of the scene. Several tests have been made in skin segmentation in applications for sign language recognition via computer vision, where an accurate segmentation of hands and face is required

CATCH 1.4 User's Guide

The Monte Carlo program CATCH (Capture And Transport of CHarged particles in a crystal) for the simulation of planar channelling in bent crystals is presented. The program tracks a charged particle through the distorted-crystal lattice with the use of continuous-potential approximation and the non-diffusion approach to the processes of scattering on electrons and nuclei. The output consists of the exit angular distributions, the energy loss spectra, and the spectra of any close-encounter process of interest. The curvature variability, face twist, and various surface imperfections of the real crystal can be taken into account.Comment: 12 page

Gratings and Random Reflectors for Near-Infrared PIN Diodes

Crossed diffraction gratings and random reflectors have been proposed as means to increase the quantum efficiencies of InGaAs/InP positive/intrinsic/ negative (PIN) diodes designed to operate as near-infrared photodetectors. The proposal is meant especially to apply to focal-plane imaging arrays of such photodetectors to be used for near-infrared imaging. A further increase in quantum efficiency near the short-wavelength limit of the near-infrared spectrum of such a photodetector array could be effected by removing the InP substrate of the array. The use of crossed diffraction gratings and random reflectors as optical devices for increasing the quantum efficiencies of quantum-well infrared photodetectors (QWIPs) was discussed in several prior NASA Tech Briefs articles. While the optical effects of crossed gratings and random reflectors as applied to PIN photodiodes would be similar to those of crossed gratings and random reflectors as applied to QWIPs, the physical mechanisms by which these optical effects would enhance efficiency differ between the PIN-photodiode and QWIP cases: In a QWIP, the multiple-quantum-well layers are typically oriented parallel to the focal plane and therefore perpendicular or nearly perpendicular to the direction of incidence of infrared light. By virtue of the applicable quantum selection rules, light polarized parallel to the focal plane (as normally incident light is) cannot excite charge carriers and, hence, cannot be detected. A pair of crossed gratings or a random reflector scatters normally or nearly normally incident light so that a significant portion of it attains a component of polarization normal to the focal plane and, hence, can excite charge carriers. A pair of crossed gratings or a random reflector on a PIN photodiode would also scatter light into directions away from the perpendicular to the focal plane. However, in this case, the reason for redirecting light away from the perpendicular is to increase the length of the optical path through the detector to increase the probability of absorption of photons and thereby increase the resulting excitation of charge carriers. A pair of crossed gratings or a random reflector according to the proposal would be fabricated as an integral part of photodetector structure on the face opposite the focal plane (see figure). In the presence of crossed gratings, light would make four passes through the device before departing. In the presence of a random reflector, a significant portion of the light would make more than four passes: After each bounce, light would be scattered at a different random angle, and would have a chance to escape only when it was reflected, relative to the normal, at an angle less than the critical angle for total internal reflection. Given the indices of refraction of the photodiode materials, this angle would be about 17 . This amounts to a very narrow cone for escape of trapped light

LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas

Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive information from these images. However, the processing cost of blurring increases with the ever-growing resolution of images. We propose a system that is cost-effective even after increasing the resolution by a factor of 2.5. The new system utilizes depth data obtained from LiDAR to significantly reduce the search space for detection, thereby reducing the processing cost. Besides this, we test several detectors after reducing the detection space and provide an alternative solution based on state-of-the-art deep learning detectors to the existing HoG-SVM-Deep system that is faster and has a higher performance.Comment: Accepted at Electronic Imaging 201

From Toric Geometry to Quiver Gauge Theory: the Equivalence of a-maximization and Z-minimization

AdS/CFT predicts a precise relation between the central charge a, the scaling dimensions of some operators in the CFT on D3-branes at conical singularities and the volumes of the horizon and of certain cycles in the supergravity dual. We review how a quantitative check of this relation can be performed for all toric singularities. In addition to the results presented in hep-th/0506232, we also discuss the relation with the recently discovered map between toric singularities and tilings; in particular, we discuss how to find the precise distribution of R-charges in the quiver gauge theory using dimers technology.Comment: 13 pages, 4 figures; proceedings of the RTN workshop: ``Constituents, Fundamental Forces and Symmetries of the Universe'', Corfu, Greece, 20-26 Sept. 200