This paper proposes an observer-based formation tracking control approach for multi-vehicle systems with second-order motion dynamics, assuming that vehicles' relative or global position and velocity measurements ...
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Caesium quantum clocks, pivotal in defining the SI second since the 13th General Conference on Weights and Measures in 1967, rely on intricate electronic and optical systems for precise timekeeping. Ensuring the accur...
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We present advancements in novel rf signal processing techniques which combine the benefits of high-Q, high-linearity, and large dynamic range of acoustic wave devices with the tunability and nonlinear functionality o...
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The direct connection of the jaw to the brain allows it to retain its motor and sensory capabilities even after severe spinal cord injuries. As such, it can be an accessible means of providing inputs for people with p...
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Data security poses a significant challenge in cloud computing, the Internet of Things (IoT), and blockchain applications. Attribute-Based Encryption (ABE) has emerged as a promising cryptographic solution for secure ...
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This review paper examines the concept and advancements in the evolving landscape of Dual-functional Radar Communication (DFRC) systems. Traditionally, radar and communication systems have functioned independently, bu...
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With the advent of rigorous membrane research and development in the middle of the 20th century, more wastewater plants started incorporating Membrane BioReactors (MBR) in their design. However, being a membrane syste...
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With the advent of rigorous membrane research and development in the middle of the 20th century, more wastewater plants started incorporating Membrane BioReactors (MBR) in their design. However, being a membrane system, the MBR is subject to fouling which may lead to maintenance and cleaning costs. In this paper, a fouling monitoring and prediction tool has been designed in MATLAB\Simulink. The model takes states related to membrane fouling, and calculates the membrane total resistance based on deterministic and stochastic models. The tool is capable of predicting future transmembrane pressure (TMP) cycles based on older TMP performance via an artificial neural network algorithm. TMP data have been synthetically generated from a validated mathematical model. Finally, an artificial neural network controller is implemented to control temperature and Mixed Liquor Suspended Solids (MLSS) around their desired setpoints. The controller is able to minimize disturbances in both states in a narrow band around their desired setpoints.
The Dual-function radar communication (DFRC) design aims to exploit the tractability and reusability of both radar and communication systems' components, parameters, and spectrum to achieve an integrated system. I...
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This work aims to leverage the existing fifth generation (5G) new radio (NR) synchronization signal (SS) burst for network-side integrated sensing and communications (ISAC). A novel density-based clustering of applica...
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Reasoning over knowledge bases such as Semantic Web ontologies enables the discovery of new facts from existing knowledge. Knowledge-enhanced machine learning has motivated the development of neuro-symbolic reasoners,...
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