Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated world represents a complex system. Those simulations can however benefit from optimizations coming...
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Modern universities, developing a digital environment, rely on a student-centric approach relevant to pedagogical and didactic practices. Personalization of the educational environment allows improving the quality of ...
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The paper presents a work in progress. Personalization of the educational environment allows improving the quality of the educational process, raising it to a new level. Our development is intended to diagnose and rec...
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The paper considers the possibility of improving the educational ecosystem by using ontologies in the architecture of the university electronic information environment. Various types of actors of the modern educationa...
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This paper presents the results of ongoing work. Today, personalization is one of the main trends in education. Universities collect and analyze data about the students' identity and their needs in order to develo...
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Automatic voltage regulator (AVR) system is a main control process to keep the terminal voltage of generator in power systems between the determined values. In this study, the optimal tuning of a fractional order PID ...
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Feedback narrowband active noise control (NANC, FBNANC) systems have been developed to suppress sinusoidal noise signals generated by rotating machines such as diesel engines, fans, etc. They do not require any refere...
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The article presents the development, implementation and approbation of a multi-level architecture of the intelligent agent-based educational system for training of technical specialists. The proposed architecture com...
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Feedback-based methods combining proportional-integral and/or resonant controllers are the most common option for Active Power Filter (APF) control. Alternatively to classical feedback-based control, state-feedback cu...
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The identification of the correspondences of points of views is an important task. A new feature matching algorithm for weakly calibrated stereo images of curved scenes is proposed, based on mere geometric constraints...
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The identification of the correspondences of points of views is an important task. A new feature matching algorithm for weakly calibrated stereo images of curved scenes is proposed, based on mere geometric constraints. After initial correspondences are built via the epipolar constraint, many point-to-point image mappings called homographies are set up to predict the matching position for feature points. To refine the predictions and reject false correspondences, four schemes are proposed. Extensive experiments on simulated data as well as on real images of scenes of variant dept.s show that the proposed method is effective and robust.
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