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We study the top-$K$ ranking problem where the goal is to recover the set of top-$K$ ranked items out of a large collection of items based on partially revealed preferences. We consider an adversarial crowdsourced setting where there are two population sets, and pairwise comparison samples drawn from one of the populations follow the standard Bradley-Terry-Luce model (i.e., the chance of item...
This paper proposes an RFID benchmark and simulator in order to evaluate anti-collision algorithms. The proposed suite was specially developed to the MAC layer evaluation since to our knowledge there is no standard on RFID anti-collision simulator software. Although some simulators for RFID networks have been proposed, none of them are designed to the MAC layer performance evaluation. This paper,...
This paper proposes an intelligent algorithm for dealing with high penetration of renewable energy sources (RESs) in the medium voltage (MV) by intelligently managing electric vehicles (EVs), as one of the grid flexible loads. The MV grid used in this work is a CIGRE benchmark grid. Different residential and industrial loads are considered in this grid. The connection of medium voltage wind turbines...
In this paper we introduce and verify our Automated Covert Channel Modeling (ACCM) framework for evaluating and modeling covert channel algorithms. This work continues our efforts we reported at MILCOM 2013. Our ACCM framework is defined based on two different use cases: ACCM-Sim is designed to model covert channel algorithms in a simulation environment, whereas our ACCM-Net can be utilized to evaluate...
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