Intelligent Vehicle (IV) research is gaining popularity due to the convergence of technological advancements and societal demands, which also leads to the fundamental demand for precise localization.However, the localization accuracy of most existing LiDAR Odometry methods is limited by the complex environment and high-frequency motion, leading to
Electrooculogram (EOG) is one of common artifacts in recorded electroencephalogram (EEG) signals.Many existing methods including independent component analysis (ICA) and wavelet transform were applied to eliminate EOG artifacts but ignored the possible impact of the nature of EEG signal.Therefore, the removal of EOG artifacts still faces a major ch
The mode-division multiplexer/demultiplexer (MMUX/DeMMUX) is the crucial Light Meters component for the implementation of mode-division multiplexing (MDM) transmission.We propose an on-chip two-mode MMUX/DeMMUX based on adiabatic couplers.Thanks to the principle of mode evolution, the proposed MMUX possesses advantages of broadband operation and hi
In SDN-based networks, contextual understanding of network behaviour and safe execution of operational decisions are important as Countertop Mixers part of the network management process.Digital Twin Network (DTN) is a promising concept which creates a virtual twin of a live SDN-based network to monitor the network from different angles with variou