Cooperative automatic driving, or platooning, is a promising solution to improve traffic safety, while reducing congestion and pollution. The design of a control system for this application is a challenging, multi-dis...
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In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind. Our work stems from the experience gathered by the authors while teaching SLAM to students and aims at provid...
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Hypersonic vehicles are characterized with strong nonlinearities, coupling effects and uncertainties as well as fast time-varying parameters, which impose great difficulty to the attitude control. This study proposes ...
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Image quality assessment (IQA) of an image is a vital research direction in the field of image processing. With the quickly developing evaluation methods, study of image quality evaluation method has a profound impact...
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We employ recent control design algorithms for delay systems to address the mixed sensitivity design of a dynamic controller for multiple degree of freedom systems interconnected with an inverse signal shaper. A delay...
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作者:
Tangarife, Hector IvanDiaz, Andres EscobarCMM
Investigation Group GICEMET SENA Dept. Electronic. Spe. Computer Science and Automation District University FJC Bogotá Colombia Investigation Group ORCA
Dept. Control Engineering and Telecommunications District University Francisco José de Caldas Bogotá Colombia
This article shows a review of the state of the art in the agricultural automation under greenhouse through the use of robotics platforms as a source of solution to different problems that arise in the agricultural se...
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The paper studies a general class of distributed dictionary learning (DL) problems where the learning task is distributed over a multi-agent network with (possibly) time-varying (non-symmetric) connectivity. This sett...
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ISBN:
(纸本)9781509041183
The paper studies a general class of distributed dictionary learning (DL) problems where the learning task is distributed over a multi-agent network with (possibly) time-varying (non-symmetric) connectivity. This setting is relevant, for instance, in scenarios where massive amounts of data are not collocated but collected/stored in different spatial locations. We develop a unified distributed algorithmic framework for this class of non-convex problems and establish its asymptotic convergence. The new method hinges on Successive Convex Approximation (SCA) techniques while leveraging a novel broadcast protocol to disseminate information and distribute the computation over the network, which neither requires the double-stochasticity of the consensus matrices nor the knowledge of the graph sequence to implement. To the best of our knowledge, this is the first distributed scheme with provable convergence for DL (and more generally bi-convex) problems, over (time-varying) digraphs.
Next generation network services will be realized by NFV-based microservices to enable greater dynamics in deployment and operations. Here, we present a demonstrator that realizes this concept using the NFV platform b...
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In today's world, large volumes of medical data are being continuously generated, but their value is severely undermined by our inability to translate them into knowledge and, ultimately, actions. Data mining tech...
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Drones in flight make a variety of vibration frequencies. Therefore, gimbal system is needed to get clean images from drone-mounted cameras. The system consists of two things: one is a structure to support a camera mo...
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