This paper describes the CDRAS (Call Detail Records Analysis System) system, the motivation behind it, its approach and its background. The system aims at dealing with the notorious Man-in-the-Middle attack in the con...
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Wireless sensor networks (WSNs) are frameworks for modern pervasive computing infrastructures, and are often subject to operational difficulties, such as the inability to effectively mitigate signal noise or sensor fa...
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Wireless sensor networks (WSNs) are frameworks for modern pervasive computing infrastructures, and are often subject to operational difficulties, such as the inability to effectively mitigate signal noise or sensor failure. Natural systems, such as gene regulatory networks (GRNs), participate in similar information transport and are often subject to similar operational disruptions (noise, damage, etc.). Moreover, they self-adapt to maintain system function under adverse conditions. Using a PBN-type model valid in the operational and functional overlap between GRNs and WSNs, we study how attractors in the GRN-the target state of an evolving network-behave under selective gene or sensor failure. For “larger” networks, attractors are “robust”, in the sense that gene failures (or selective sensor failures in the WSN) conditionally increase their total number; the “distance” between initial states and their attractors (interpreted as the end-to-end packet delay) simultaneously decreases. Moreover, the number of attractors is conserved if the receiving sensor returns packets to the transmitting node; however, the distance to the attractors increases under similar conditions and sensor failures. Interpreting network state-transitions as packet transmission scenarios may allow for trade-offs between network topology and attractor robustness to be exploited to design novel fault-tolerant routing protocols, or other damage-mitigation strategies.
We present direct astrophysical N-body simulations with up to six million bodies using our parallel MPICUDA code on large GPU clusters in Beijing, Berkeley, and Heidelberg, with different kinds of GPU hardware. The cl...
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There is growing interest in defining best practices that support multiple needs in companies. This has led to the current situation, where organizations, universities and research groups, amongst others, have defined...
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There is growing interest in defining best practices that support multiple needs in companies. This has led to the current situation, where organizations, universities and research groups, amongst others, have defined a wide range of reference models. This is also known as the quagmire of standards and models. The ample assortment of possibilities enables companies to choose and implement the models that are most suitable for their particular features. There may even be a reduction in the cost associated with effort and time in their implementation. Each model, however, defines its own process structure, approach, scope, and so forth, so carrying out the implementation of more than two models without guidelines or suitable tools can be a hard, if not impossible, task. With all this in mind, the aim of this paper is to present a harmonization Framework, which establishes the elements and tools needed to support the harmonization of multiple reference models. It also presents a detailed summary of the elements defined, along with a summary of the successful application of the harmonization framework in two case studies. This harmonization framework and its elements have been shown to be suitable for supporting the harmonization of multiple models.
We present a new method for the accurate registration of video sequences of a real object over its dense triangular mesh. The goal is to obtain an accurate video-to-geometry registration to allow the bidirectional dat...
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In this paper we propose an extension for the algorithms of image-to-geometry registration by Mutual Information(MI) to improve the performance and the quality of the alignment. Proposed for the registration of multi ...
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These detailed guidelines attempt to explain the mechanics of writing a third year project dissertation in computerscience. They serve as a useful starting point for students (and new advisers) in their third or four...
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These detailed guidelines attempt to explain the mechanics of writing a third year project dissertation in computerscience. They serve as a useful starting point for students (and new advisers) in their third or fourth year of study in the computersciencedepartment of a UK-based university. Afterall, no one is born knowing how to write a dissertation. Yet, there are certain elements, a commonality, that can be found in virtually all good dissertations. We give our recommendations as to each section a good dissertation consists of as well as what each section contains. These guidelines are generic and can be customized to fit most projects. The guidelines are open and free to use at any university or institution without *** believe that the writing can start with the abstract, however, in practice writing usually starts with the background section. The abstract can be approximately 6–12 sentences. It is a difficult starting point, but it forces the author to write down a concise description of what it is they’re researching and what the benefits are. Chances are, if the author can’t write an abstract, then it is not clear in the author’s mind what the project is about. Of course the abstract will be refined and updated over the lifetime of the project. The abstract can concisely (1) identify the project topic, (2) identify the benefits and advantages that result (3) and if there is novelty, describe the novelty of the presented work. If there’s a description of the project in a previously existing project selection brochure then that can be used as a basis for an abstract. These guidelines are a starting point only and are not a substitute for an advisor.
We describe two quantum channels that individually cannot send any classical information without some chance of decoding error. But together a single use of each channel can send quantum information perfectly reliably...
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We describe two quantum channels that individually cannot send any classical information without some chance of decoding error. But together a single use of each channel can send quantum information perfectly reliably. This proves that the zero-error classical capacity exhibits superactivation, the extreme form of the superadditivity phenomenon in which entangled inputs allow communication over zero-capacity channels. But our result is stronger still, as it even allows zero-error quantum communication when the two channels are combined. Thus our result shows a new remarkable way in which entanglement across two systems can be used to resist noise, in this case perfectly. We also show a new form of superactivation by entanglement shared between sender and receiver.
The topic of this paper is wide area structure from motion. We first describe recent progress in obtaining large-scale 3D visual models from images. Our approach consists of a multi-stage processing pipeline, which ca...
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