This paper presents a centralised model predictive control (MPC) approach for the control of the recharging process of a fleet of plug-in electric vehicles (PEVs). The first control goal is to recharge the PEVs so that the user preferences on the final desired state of charge, and on the time...
04b Atto di convegno in volume
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Among the most common issues to be faced in optical satellite communications, weather conditions play a fundamental role for a correct transmission of the information. In the case of heavy rain, hailstorm snow, or even dense clouds, a communication channel between the satellite and a optical ground...
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Monocular visual odometry is a fundamental problem in computer vision and it was extensively studied in literature. The vast majority of visual odometry algorithms are based on a standard pipeline consisting in feature detection, feature matching, motion estimation and local optimization. Only...
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Type confusion bugs are a common source of security problems whenever software makes use of type hierarchies, as an inadvertent downcast to an incompatible type is hard to detect at compile time and easily leads to memory corruption at runtime. Where existing research mostly studies type confusion...
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We study truthful mechanisms for welfare maximization in online bipartite matching. In our (multi-parameter) setting, every buyer is associated with a (possibly private) desired set of items, and has a private value for being assigned an item in her desired set. Unlike most online matching settings...
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In practical settings, classification datasets are obtained through a labelling process that is usually done by humans. Labels can be noisy as they are obtained by aggregating the different individual labels assigned to the same sample by multiple and possibly disagreeing, annotators. The inter-...
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Group level characterization of brain networks still represents an open issue in modern neuroscience. Investigating the functional mechanisms underlying the complexity of the human brain requires an analytical way to efficiently integrate information from multiple subjects, while properly handling...
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Human activities represent a major source of information for smart home automation. While performing their daily activities, humans trigger sensors producing measurements that flow into a sensor log. Vast majority of techniques to recognize and exploit the occurrences of human activities are...
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In practical settings, classification datasets are obtained through a labelling process that is usually done by humans. Labels can be noisy as they are obtained by aggregating the different individual labels assigned to the same sample by multiple and possibly disagreeing, annotators. The inter-...