Results 211 to 220 of about 3,780,326 (325)
All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks. [PDF]
Wang N, Zeng J.
europepmc +1 more source
Hexagonal arrays of silicon nanodisks are proposed to control 1.5 µm emission of Er3+ ions. Toroidal dipole resonance of the nanodisk array generates accessible magnetic hot spots at the surface, leading to enhanced and highly directional magnetic dipole emission along the surface‐normal direction via the magnetic Purcell effect.
Keisuke Moriasa +3 more
wiley +1 more source
Fortified anonymous communication protocol for location privacy in WSN: a modular approach. [PDF]
Abuzneid AS +4 more
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Protecting location privacy for outsourced spatial data in cloud storage. [PDF]
Tian F +5 more
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
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
A novel on-line spatial-temporal k-anonymity method for location privacy protection from sequence rules-based inference attacks. [PDF]
Zhang H, Wu C, Chen Z, Liu Z, Zhu Y.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Functional surfaces are investigated as a foundation for reconfigurable microscale systems with sensing and actuation capabilities. Advances in additive manufacturing enable our development of planar arrays of hybrid‐material, compliant microdevices that convert environmental stimuli into programmed motion and visual responses.
Sandra Edward +5 more
wiley +1 more source

