Results 91 to 100 of about 17,648 (273)

An online-integrated condition monitoring and prognostics framework for rotating equipment [PDF]

open access: yes, 2014
Detecting abnormal operating conditions, which will lead to faults developing later, has important economic implications for industries trying to meet their performance and production goals.
Alrabady, Linda Antoun Yousef
core  

Multimodal Soft Surgical Robots Enabled by Eco‐Degradable, Sterilizable Polymers and Transient Electronics

open access: yesAdvanced Functional Materials, EarlyView.
A compostable PGS soft surgical robot with interchangeable modules integrates transient Mo tactile and Si thermal sensors for dual feedback. The device preserves its function after clinical‐grade sterilization, demonstrates stable actuation and cardiac tissue grasping with real‐time in vivo pulsatile monitoring, and biodegrades post‐use with soil‐safe, 
Minseong Chae   +27 more
wiley   +1 more source

Efficient and robust background modeling with dynamic mode decomposition

open access: yes
A large number of modern video background modeling algorithms deal with computational costly minimization problems that often need parameter adjustments.
Weiskopf, Daniel   +3 more
core   +1 more source

Tissue‐Stimulator Platform for Electrically Stimulating Pancreatic β‐Cells for Long‐Term Functional Regulation

open access: yesAdvanced Functional Materials, EarlyView.
We present a tissue‐stimulator platform for seamless electrode integration with pancreatic tissue, applying uniform electrical stimulation through optimized design with biohybrid 3D printing. Advantageous effects of electrical stimulation on β‐cell function were observed, including enhanced calcium signaling, islet morphology, and maturation.
Jihwan Kim   +7 more
wiley   +1 more source

K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles

open access: yesIEEE Access
This paper proposes Koopman operator-based Stochastic Model Predictive Control (K-SMPC) for enhanced lateral control of autonomous vehicles. The Koopman operator is a linear map representing the nonlinear dynamics in an infinite-dimensional space.
Jin Sung Kim   +3 more
doaj   +1 more source

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition

open access: yes, 2022
Extended Dynamic Mode Decomposition (EDMD) is a popular data-driven method to approximate the action of the Koopman operator on a linear function space spanned by a dictionary of functions.
Haseli, Masih, Cortés, Jorge
core  

Engineering Intelligent Graphene Oxide‐Cellulose Membranes: Suppressing Thermal Runaway for a Safer Aqueous Zinc‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A novel thermos‐responsive hydroxypropyl cellulose/graphene oxide (HPC/GO) composite membrane is fabricated for reversible temperature‐gated ion transport in aqueous zinc‐ion batteries. Enabled by LCST‐driven structural transition, unimpeded ion diffusion at room temperature delivers high capacity, while elevated temperature suppresses transport; full ...
Xueli Bi   +9 more
wiley   +1 more source

Polymer Interface Enables Reversible Quasi‐Solid Sulfur Conversion in Sodium‐Sulfur Batteries

open access: yesAdvanced Functional Materials, EarlyView.
The polymer interface enables a stable quasi‐solid sulfur conversion pathway in room‐temperature Na─S batteries. The coating regulates Na+ transport, stabilizes the cathode–electrolyte interphase, and accommodates mechanical stress, suppressing electrolyte decomposition and sulfur migration, thereby improving reaction uniformity, reducing polarization,
Reza Andaveh   +12 more
wiley   +1 more source

Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD

open access: yesMachine Learning: Science and Technology
The Koopman operator framework can be used to identify a data-driven model of a nonlinear system. Unfortunately, when the data is corrupted by noise, the identified model can be biased.
Louis Lortie, James Richard Forbes
doaj   +1 more source

Data-Driven Koopman Operator-Based Model Predictive Control with Adaptive Dictionary Learning for Nonlinear Industrial Process Optimization

open access: yesMathematics
Nonlinear model predictive control (NMPC) delivers high tracking accuracy for industrial processes but requires solving a nonlinear program at each sampling instant, limiting its applicability under tight real-time constraints.
Zhihao Zeng, Hao Wang, Yahui Shan
doaj   +1 more source

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