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This paper proposes a method for a real-time classification of the absolute driving style using three levels of sportiveness: calm, normal and sporty. The algorithm is based on a physical gg-plot-based approach and on a novel manouvre detection algorithm. The method makes use of standard vehicle signals which can be also provided by an external IMU+GPS system. Experimental results show the effectiveness...
This paper deals with the load levelling control of a tractor cabin equipped with an hydro-pneumatic suspension, controlled with on-off actuators. A model-based approach for the controller design is proposed. A dynamic physical model of the hydro-pneumatic suspension is developed and identified through a grey-box approach and a linear continuous controller is then designed, where actuation delays...
The ATLAS detector at CERN records particle collision "events" delivered by the Large Hadron Collider. Its data-acquisition system identifies, selects, and stores interesting events in near real-time, with an aggregate throughput of several 10 GB/s. It is a distributed software system executed on a farm of roughly 2000 commodity worker nodes communicating via TCP/IP on an Ethernet network...
In this paper we present a new approach for time series forecasting, called Maximum Length Weighted Nearest Neighbor (MLWNN), which combines prediction based on sequence similarity with optimization techniques. MLWNN predicts the 24 hourly electricity loads for the next day, from a time sequence of previously electricity loads up to the current day. We evaluate MLWNN using electricity load data for...
The ATLAS experiment observes proton-proton collisions delivered by the LHC accelerator at a centre of mass energy of 7 TeV with a peak luminosity of ∼ 1033 cm−2s−1 in 2011. The ATLAS Trigger and Data Acquisition (TDAQ) system selects interesting events on-line in a three-level trigger system in order to store them at a budgeted average rate of ∼ 400 Hz for an event size of ∼ 1.2 MB. This paper focuses...
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