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—We propose two methods for traffic anomaly detection in communication networks where properties of normal traffic evolve dynamically. We formulate the anomaly detection problem as a binary composite hypothesis testing problem and develop a model-free and a model-based method, leveraging techniques from the theory of large deviations. Both methods first(More)
The main purpose of this paper is to provide a method of multi-criteria decision-making that combines simplified neutrosophic linguistic sets and normalized Bonferroni mean operator to address the situations where the criterion values take the form of simplified neutrosophic linguistic numbers and the criterion weights are known. Firstly, the new operations(More)
Of realistic swarm biology engineering: model simplification and tuning for IT applications.Combines an overview of swarm intelligence with an up-to-date treatment of the. With the biological foundations, optimization, swarm robotics, and applications in. swarm intelligence introduction and applications pdf wide-range applications of swarm intelligence(More)
In this paper we introduce a new numerical procedure for simulations in geometrical optics that, based on the recent development of Eulerian phase-space formulations of the model, can deliver very accurate, uniformly resolved solutions which can be made to converge with arbitrarily high orders in general geometrical configurations. Following previous(More)
A low sampling rate leads to reduced congestion and hence energy consumption in the resource-constrained wireless sensor networks. In this article, we propose asynchronous sampling that shifts the sampling time instances of sensor nodes from each other. For lossy data gathering scenarios, the proposed approach provides more information about the physical(More)
— This paper presents a robust adaptive control for a class of time-varying nonlinear uncertain systems which have a fractional nonlinearly-parameterized structure. The proposed design is based on robust adaptive backstepping and neural network approximation. The unknown time-varying parameters in the fractional nonlinear functions are estimated using a(More)
Multi-player online games (MOGs) have become increasingly popular on today's Internet. Meanwhile, the IEEE 802.11 (Wi-Fi) wireless networks have been widely used. We study how well an underlying 802.11g network supports a first-person-shooter (FPS) game, often considered the most demanding MOG in terms of network performance. We measure the latency and loss(More)
— Model reduction problem was investigated for singular systems. To solve the problem, the Silverman-Ho algorithm was given, and based on this algorithm, an optimal model reduction method for the fast subsystem was presented to obtain reduced-order stable models for singular systems. Sequentially, the H ∞ suboptimal model reduction algorithm was obtained(More)
— Intensive research has focused on redundance reduction in wireless sensor networks among sensory data due to the spatial and temporal correlation embedded therein. In this paper, we propose a novel approach termed asyn-chronous sampling that complements existing study. The key idea of asynchronous sampling is to spread the sampling times of the sensor(More)