This article discusses the concept of a laboratory model of the power supply system of Smart House technology, which will be powered from DC mains. The relevance of this development, its main advantages, functionality...
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The paper considers development of new electric drive systems based on an induction motor with a wound rotor having improved performance by introducing new circuit solutions and control algorithms that provide motor c...
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Despite rapid developments in visual image-based road detection, robustly identifying road areas in visual images remains challenging due to issues like illumination changes and blurry images. To this end, LiDAR senso...
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Despite rapid developments in visual image-based road detection, robustly identifying road areas in visual images remains challenging due to issues like illumination changes and blurry images. To this end, LiDAR sensor data can be incorporated to improve the visual image-based road detection,because LiDAR data is less susceptible to visual noises. However,the main difficulty in introducing LiDAR information into visual image-based road detection is that LiDAR data and its extracted features do not share the same space with the visual data and visual features. Such gaps in spaces may limit the benefits of LiDAR information for road detection. To overcome this issue, we introduce a novel Progressive LiDAR adaptation-aided road detection(PLARD) approach to adapt LiDAR information into visual image-based road detection and improve detection performance. In PLARD, progressive LiDAR adaptation consists of two subsequent modules: 1) data space adaptation, which transforms the LiDAR data to the visual data space to align with the perspective view by applying altitude difference-based transformation; and 2) feature space adaptation, which adapts LiDAR features to visual features through a cascaded fusion structure. Comprehensive empirical studies on the well-known KITTI road detection benchmark demonstrate that PLARD takes advantage of both the visual and LiDAR information, achieving much more robust road detection even in challenging urban scenes. In particular, PLARD outperforms other state-of-theart road detection models and is currently top of the publicly accessible benchmark leader-board.
This paper discusses a smart laboratory robotics system designed to allow students remote connection and work with robotic manipulation devices and applications, as well as for teaching and conducting collaborative re...
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Grid synchronisation is essential for grid following inverter control. Typically, a phase-locked loop (PLL) is used to perform the synchronisation, but it is known that the PLL can fail to synchronise with the grid in...
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The measuring test lead is an important part of high voltage bushings with capacitor-type insulation. The test lead is connected to the outer capacitor lining of the frame, dividing the input capacitance into two: C1 ...
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The paper presents the design and analysis of a simulation model of the motion of a four-wheeled robot with a shock-absorbing chassis on a plane with the right pair of wheels on the ramp, drive on it and drive off the...
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Logic representation of programs gives an expressive way to perform analysis and transformation. Logic representation conforming to a specified metamodel enables analysis and transformation at both meta and concrete r...
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The damping of electromechanical vibrations arising at metallurgical facilities is carried out using different approaches. The paper discusses methods of damping oscillations in the conveyor control system with scalar...
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The creation of energy-saving AC electric drives is an urgent task for the modern production. Most electric drives of general industrial mechanisms are equipped with asynchronous squirrel-cage motors, which are powere...
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