46 research outputs found

    Electromagnetically induced transparency in an inverted Y-type four-level system

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    The interaction of a weak probe laser with an inverted-Y type four-level atomic system driven by two additional coherent fields is investigated theoretically. Under the influence of the coherent coupling fields, the steady-state linear susceptibility of the probe laser shows that the system can have single or double electromagnetically induced transparency windows depending on the amplitude and the detuning of the coupling lasers. The corresponding index of refraction associated with the group velocity of the probe laser can be controlled at both transparency windows by the coupling fields. The propagation of the probe field can be switched from superluminal near the resonance to subluminal on resonance within the single transparency window when two coupling lasers are on resonance. This provides a potential application in quantum information processing. We propose an atomic 87Rb^{87}Rb system for experimental observation

    The Basic Principles of Uncertain Information Fusion. An organized review of merging rules in different representation frameworks

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    We propose and advocate basic principles for the fusion of incomplete or uncertain information items, that should apply regardless of the formalism adopted for representing pieces of information coming from several sources. This formalism can be based on sets, logic, partial orders, possibility theory, belief functions or imprecise probabilities. We propose a general notion of information item representing incomplete or uncertain information about the values of an entity of interest. It is supposed to rank such values in terms of relative plausibility, and explicitly point out impossible values. Basic issues affecting the results of the fusion process, such as relative information content and consistency of information items, as well as their mutual consistency, are discussed. For each representation setting, we present fusion rules that obey our principles, and compare them to postulates specific to the representation proposed in the past. In the crudest (Boolean) representation setting (using a set of possible values), we show that the understanding of the set in terms of most plausible values, or in terms of non-impossible ones matters for choosing a relevant fusion rule. Especially, in the latter case our principles justify the method of maximal consistent subsets, while the former is related to the fusion of logical bases. Then we consider several formal settings for incomplete or uncertain information items, where our postulates are instantiated: plausibility orderings, qualitative and quantitative possibility distributions, belief functions and convex sets of probabilities. The aim of this paper is to provide a unified picture of fusion rules across various uncertainty representation settings

    On the security of an efficient dynamic auditing protocol in cloud storage

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    Using cloud storage, data owners can remotely store their data and enjoy the on-demand high quality cloud services without the burden of local data storage and maintenance. However, this new paradigm does trigger many security concerns. A major concern is how to ensure the integrity of the outsourced data. To address this issue, recently, a highly efficient dynamic auditing protocol (IEEE Transactions on Parallel and Distributed Systems, doi:10.1109/TPDS.2013.199) for cloud storage was proposed which enjoys many desirable features. Unfortunately, in this letter, we demonstrate that the protocol is insecure when an active adversary is involved in the cloud environment. We show that the adversary is able to arbitrarily modify the cloud data without being detected by the auditor in the auditing process. We also suggest a solution to fix the problem while preserving all the properties of the original protocol

    Solving Motion Law by Numerical Simulation on Bowl Seeding Transplanting Robot

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    Part 1: Simulation, Optimization, Monitoring and Control TechnologyInternational audienceThe paper using the inverse kinematics theory of the parallel mechanism, studied the movable needs of the transplanting robot,deduced the inverse kinematics formula of transplanting robot. Considered the demand of the “fetch and plant” operations, made an important research on the two trajectory planning methods of the moving platform: quintic and septic polynomial motion laws, acquired their variation rules of displacement, velocity, acceleration and saltus by using matlab software, and to make choice. After selected the law of motion equation, through numerical simulation of inverse kinematics by matlab, acquired kinematic parameters angular speed and acceleration of the two active motors, can be used as the priority basis for control the movement of the manipulator
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