Water apple (Syzygium aqueum) is a fruit that comprises numerous variants, and precise identification of these variants is essential for distinguishing their leaves accurately. This research presents a study on water ...
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Amidst the rising incidences of stroke and spinal cord injuries, this study introduces a Virtual Reality (VR) system integrated with wearable sensor-based motion capture technology to enhance rehabilitation and assess...
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作者：
Lv, ChengDepartment of Computer Science
School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Beijing100044 China
In response to the shortcomings of the SPOC course "Introduction to Computational Thinking"at Beijing University of Civil engineering and Architecture, the teaching team has transformed and improved the cour...
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This paper presents a simulation study on integrating grid-connected photovoltaic (PV) systems with a potential to implement battery storage in residential settings. It analyses the performance and feasibility of such...
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In this paper, a decode-and-forward relay-assisted device-to-device (D2D) network is examined over novel multi-cluster fluctuating two-ray (MFTR) fading channels. All communication links are functioning in terahertz (...
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This paper addresses the safety-certified motion planning and containment control of under-actuated autonomous surface vehicles subject to model uncertainties, external disturbances, and input constraints in the prese...
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This paper addresses the safety-certified motion planning and containment control of under-actuated autonomous surface vehicles subject to model uncertainties, external disturbances, and input constraints in the presence of stationary and moving obstacles. A three-level modular control architecture is proposed with a trajectory generation module at its planning level, an adaptive guidance module at its guidance level, and a kinetic control module at its control level. Specifically, at the planning level, a safety-certified containment trajectory generator is designed to generate safe trajectories over a rolling time window to achieve containment formation and collision avoidance with neighboring ASVs, stationary obstacles, and moving obstacles via dynamic control barrier functions and twotimescale neurodynamic optimization models. At the guidance level, an adaptive line-of-sight guidance law is developed based on a finite-time predictor to estimate unknown sideslip angles and generate guidance commands. At the control level, an optimal control law is designed based on finite-time neural predictors and control Lyapunov functions for the autonomous surface vehicle with input constraints to follow the desired guidance commands. The effectiveness and characteristics of the proposed method are demonstrated via simulations and hardware-in-theloop experiments for cooperative exploration. IEEE
Electroencephalogram (EEG) has been widely used in studies using rodent models to understand brain functions and neurological disorders. However, conventional EEG setups have limits as recording devices are bulky and ...
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Modular conversational systems heavily rely on the performance of their natural language understanding (NLU) and natural language generation (NLG) components. NLU focuses on extracting core semantic concepts from inpu...
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The BlazePose, which models human body skeletons as spatiotemporal graphs, has achieved fantastic performance in skeleton-based action identification. A Spatial-Temporal Graph Convolutional Network can then be used to...
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Magnetoinductive Waveguides (MIWs) consist of coupled electrically small resonant elements that support the propagation of magnetoinductive waves. By exciting current on an element, a magnetic field is formed, leading...
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