Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform information fusion which directs immune responses. We have derived a Dendritic Cell Algorithm based on the functionality of these cells, by modelling the biological signals and differentiation pathways to build a control mechanism for an artificial immune system. We present algorithmic details in addition to experimental results, when the algorithm was applied to anomaly detection for the detection of port scans. The results show the Dendritic Cell Algorithm is sucessful at detecting port scans.Comment: 21 pages, 17 figures, Information Fusio

Generalized Directed Loop Method for Quantum Monte Carlo Simulations

Efficient quantum Monte Carlo update schemes called directed loops have recently been proposed, which improve the efficiency of simulations of quantum lattice models. We propose to generalize the detailed balance equations at the local level during the loop construction by accounting for the matrix elements of the operators associated with open world-line segments. Using linear programming techniques to solve the generalized equations, we look for optimal construction schemes for directed loops. This also allows for an extension of the directed loop scheme to general lattice models, such as high-spin or bosonic models. The resulting algorithms are bounce-free in larger regions of parameter space than the original directed loop algorithm. The generalized directed loop method is applied to the magnetization process of spin chains in order to compare its efficiency to that of previous directed loop schemes. In contrast to general expectations, we find that minimizing bounces alone does not always lead to more efficient algorithms in terms of autocorrelations of physical observables, because of the non-uniqueness of the bounce-free solutions. We therefore propose different general strategies to further minimize autocorrelations, which can be used as supplementary requirements in any directed loop scheme. We show by calculating autocorrelation times for different observables that such strategies indeed lead to improved efficiency; however we find that the optimal strategy depends not only on the model parameters but also on the observable of interest.Comment: 17 pages, 16 figures; v2 : Modified introduction and section 2, Changed title; v3 : Added section on supplementary strategies; published versio

Convention, Repetition and Abjection: The Way of the Gothic

This paper employs Deleuze and Kristeva in an examination of certain Gothic conventions. It argues that repetition of these conventions- which endows Gothicism with formulaic coherence and consistence but might also lead to predictability and stylistic deadlock-is leavened by a novelty that Deleuze would categorize as literary “gift.” This particular kind of “gift” reveals itself in the fiction of successive Gothic writers on the level of plot and is applied to the repetition of the genre’s motifs and conventions. One convention, the supernatural, is affiliated with “the Other” in the early stages of the genre’s development and can often be seen as mapping the same territories as Kristeva’s abject. The lens of Kristeva’s abjection allows us to internalize the Other and thus to reexamine the Gothic self; it also allows us to broaden our understanding of the Gothic as a commentary on the political, the social and the domestic. Two early Gothic texts, Walpole’s The Castle of Otranto and Lewis’s The Monk, are presented as examples of repetition of the Gothic convention of the abjected supernatural, Walpole’s story revealing horrors of a political nature, Lewis’s reshaping Gothic’s dynamics into a commentary on the social and the domestic

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