This paper proposes a novel evolutionary immune network used for data clustering *** immune mechanism, partially inspired by self-organized mapping theory, is introduced to adjust the antibody's quantity and impro...
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This paper proposes a novel evolutionary immune network used for data clustering *** immune mechanism, partially inspired by self-organized mapping theory, is introduced to adjust the antibody's quantity and improve clustering *** order to guarantee clustering quality for highly non-linear distributed inputs, Kernel method is adopted to increase the clustering *** order to enhance direct descriptions about the clustering's center and result in input space, a new distance dimension instead of Euclidean distance is introduced by adopting Kernel substitution method while the training procedure is still running in input *** results are also provided toverify the algorithm's feasibility, clustering performance and anti-noise capability.
An ad hoc wireless mobile network is an infrastructure-less network that has no fixed routes; instead, all nodes are capable of movement and can be connected dynamically in an arbitrary manner. In order to facilitate ...
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An ad hoc wireless mobile network is an infrastructure-less network that has no fixed routes; instead, all nodes are capable of movement and can be connected dynamically in an arbitrary manner. In order to facilitate communication of mobile nodes that may not be within the wireless range of each other, an efficient routing protocol is needed to discover routes between nodes so that messages may be delivered in a timely manner. Therefore in this paper, we propose routing with load balancing using mobile agent (RLBMA). We use the concept of mobile agent (MA) for route discovery and balance the traffic load on the route. This MA selects the disjoint (alternate) path called active path set (APS) for reliable transmission to avoid congestion. RLBMA provides topology updation and path maintenance also. A comprehensive simulation study was conducted to evaluate the performance of the proposed scheme. Performance results shows that MA approach outperforms existing ad hoc routing protocols in terms of packet delivery fraction, average end-to-end delay and normalized routing load.
We study the two-dimensional discrete Ginzburg-Landau equation. In the linear limit, the dispersion and gain curves as well as the diffraction pattern are determined analytically. In the nonlinear case, families of tw...
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We study the two-dimensional discrete Ginzburg-Landau equation. In the linear limit, the dispersion and gain curves as well as the diffraction pattern are determined analytically. In the nonlinear case, families of two-dimensional discrete solitons are found numerically as well as approximately in the high-confinement limit. The instability dynamics are analyzed by direct simulations.
This paper announces a new software side-channel attack — enabled by the branch prediction capability common to all modern high-performance CPUs. The penalty paid (extra clock cycles) for a mispredicted branch can be...
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Increasing number of communication softwares are built on distributed architectures based on the Peer-to-Peer (P2P) model, such as Skype [1], and PeerCast [2]. This model provides several significant benefits, such as...
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Increasing number of communication softwares are built on distributed architectures based on the Peer-to-Peer (P2P) model, such as Skype [1], and PeerCast [2]. This model provides several significant benefits, such as deployment scalability, resilience to single points of failure, communication cost sharing, and anonymity. In a former contribution, we proposed an unstructured Super-Peer architecture (SPAD) that further uses the P2P paradigm to provide enhanced Quality of Service (QoS) between two users of these communication softwares. SPAD allows the discovery and use of composite alternate end-to-end paths that experience better delay than the path given by the default IP routing mechanisms. This paper extends SPAD's capabilities to multi-QoS constrained alternate-paths. It presents two extensions: i) the capability to discover alternate paths with better packet-loss and/or delay, ii) multiple schemes to select among the discovered paths the ones that best meets the requirements of the users.
As a result of significant progress in pseudospectral methods for real-time dynamic optimization, it has become apparent in recent years that it is possible to present a unified framework for both controller and obser...
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As a result of significant progress in pseudospectral methods for real-time dynamic optimization, it has become apparent in recent years that it is possible to present a unified framework for both controller and observer design. In this paper, we present such an approach for nonlinear systems. The method can be applied to a wide variety of nonlinear systems. The convergence of the proposed computational method is guaranteed under verifiable conditions. Several numerical examples are also presented to demonstrate the efficiency of the proposed computational framework.
To design a Mamdani fuzzy system with good generalization ability in high dimensional feature space, a novel learning algorithm based on the structural risk minimization (SRM) inductive principle is presented in this ...
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To design a Mamdani fuzzy system with good generalization ability in high dimensional feature space, a novel learning algorithm based on the structural risk minimization (SRM) inductive principle is presented in this paper. Firstly, the parameter estimation of a Mamdani fuzzy system is converted to a quadratic optimization problem. Then, a versatile iterative method, successive overrelaxation, is proposed. In the proposed algorithm, the fuzzy kernel generated by premise membership functions is proved to be a Mercer kernel. Numerical experiments show that the presented algorithm improves the generalization ability of Mamdani fuzzy systems.
We demonstrate that families of vortex solitons are possible in a bidispersive three-dimensional nonlinear Schrödinger equation. These solutions can be considered as extensions of two-dimensional dark vortex soli...
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We demonstrate that families of vortex solitons are possible in a bidispersive three-dimensional nonlinear Schrödinger equation. These solutions can be considered as extensions of two-dimensional dark vortex solitons which, along the third dimension, remain localized due to the interplay between dispersion and nonlinearity. Such vortex solitons can be observed in optical media with normal dispersion, normal diffraction, and defocusing nonlinearity.
In this paper, an improved genetic algorithm has been proposed for solving multi-contingency transient stability constrained optimal power flow (MC-TSCOPF) problems. The MC-TSCOPF problem is formulated as an extended ...
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In this paper, an improved genetic algorithm has been proposed for solving multi-contingency transient stability constrained optimal power flow (MC-TSCOPF) problems. The MC-TSCOPF problem is formulated as an extended optimal power flow (OPF) with additional generator rotor angle constraints and is converted into an unconstrained optimization problem, which is suitable for genetic algorithms to deal with, using a penalty function. The improved genetic algorithm is proposed by incorporating an orthogonal design in exploring solution spaces. A case study indicates that the improved genetic algorithm outperforms the existing genetic algorithm-based method in terms of robustness of solutions and the convergence speed while the solution quality can be kept.
A description of the so called "particles with coupled oscillator dynamics" (PCOD) is presented which is used to model, analyze and synthesize collective motion. An oscillator model with spatial dynamics is ...
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A description of the so called "particles with coupled oscillator dynamics" (PCOD) is presented which is used to model, analyze and synthesize collective motion. An oscillator model with spatial dynamics is presented to help describe how to design steering control laws while it is being used to study biological collectives. Lastly, both engineering and biological analysis were described.
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