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Red‐Sensitive Photopolymerizable Glass for Fabrication of Holographic Optical Elements
Advanced Optical Materials, EarlyView.This study presents a novel photopolymerizable glass capable of optical patterning using red‐wavelength laser exposure. Red‐light sensitivity was achieved through the incorporation of a photoinitiating system composed of methylene blue (MB) and N‐phenylglycine (NPG).
Jamshed Aftab +2 more
wiley +1 more source
Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, EarlyView.This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
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Successive variational mode decomposition
Signal Processing, 2020Abstract Variational mode decomposition (VMD) is a powerful technique for concurrently decomposing a signal into its constituent intrinsic modes. However, the performance of VMD will be degraded if the number of modes available in the signal is not precisely known.
Sayed Mahmoud Sakhaei
exaly +2 more sources
Variational Mode Decomposition
IEEE Transactions on Signal Processing, 2014During the late 1990s, Huang introduced the algorithm called Empirical Mode Decomposition, which is widely used today to recursively decompose a signal into different modes of unknown but separate spectral bands. EMD is known for limitations like sensitivity to noise and sampling. These limitations could only partially be addressed by more mathematical
Dominique Zosso
exaly +2 more sources
Adaptive Variational Nonlinear Chirp Mode Decomposition [PDF]
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Variational nonlinear chirp mode decomposition (VNCMD) is a recently introduced method for nonlinear chirp signal decomposition that has aroused notable attention in various fields. One limiting aspect of the method is that its performance relies heavily
Hao Liang 0011 +4 more
openaire +2 more sources
Identification of electromechanical oscillatory modes based on variational mode decomposition
Electric Power Systems Research, 2019Abstract This paper introduces Variational Mode Decomposition (VMD) to identify electromechanical oscillatory modes in power systems. The identification process is based on the time-frequency analysis of nonlinear signals which arise after a large disturbance.
Mario R Arrieta Paternina +2 more
exaly +2 more sources
Time‐varying system identification using variational mode decomposition [PDF]
Structural Control and Health Monitoring, 2018 A new time-varying system identification approach is proposed in this paper by using variational mode decomposition. The newly developed variational mode decomposition technique can decompose the measured responses into a limited number of intrinsic mode
Pinghe Ni, Hong Hao, Yong Xia
exaly +2 more sources
Self-tuning variational mode decomposition
Journal of the Franklin Institute, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiming Chen +5 more
openaire +3 more sources