Results 91 to 100 of about 11,088 (289)

Dynamic Compression of Curve-Based Point Cloud [PDF]

, 2011
With the increasing demands for highly detailed 3D data, dynamic scanning systems are capable of producing 3D+t (a.k.a. 4D) spatio-temporal models with millions of points recently. As a consequence, effective 4D geometry compression schemes are required to face the need to store/transmit the huge amount of data, in addition to classical static 3D data.
Ismaël Daribo, Ryo Furukawa 0001, Ryusuke Sagawa, Hiroshi Kawasaki, Shinsaku Hiura, Naoki Asada   +5 more
openaire   +1 more source

Magnetic‐Field Modulation of Charge Transport in Non‐Fullerene Semiconductors for Enhanced Hydrogen Evolution

Advanced Materials Interfaces, EarlyView.
ABSTRACT This study demonstrates that weak magnetic fields (16–40 mT) increase the efficiency of the hydrogen evolution reaction (HER) in electrocatalysts based on non‐fullerene acceptor (NFA) derivatives IT‐4Cl and Y6. Electrochemical measurements reveal that the application of the magnetic field reduces the onset potential and increases the current ...
João Paulo Araujo Souza, Marlus Koehler, John Fredy Ricardo Marroquin, Jorlandio Francisco Felix, Thanh‐Tuân Bui, Paulo Eduardo Narcizo de Souza, Sebastião William da Silva, Luana Wouk   +7 more
wiley   +1 more source

Saliency-Guided Point Cloud Compression for 3D Live Reconstruction

Multimodal Technologies and Interaction
3D modeling and reconstruction are critical to creating immersive XR experiences, providing realistic virtual environments, objects, and interactions that increase user engagement and enable new forms of content manipulation. Today, 3D data can be easily
Pietro Ruiu, Lorenzo Mascia, Enrico Grosso   +2 more
doaj   +1 more source

A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials

Advanced Materials Interfaces, EarlyView.
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav, Shakti S. Gupta, Roger A. Sauer   +2 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

PCAC-GAN: A sparse-tensor-based generative adversarial network for 3D point cloud attribute compression

Computational Visual Media
Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard.
Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao   +4 more
doaj   +1 more source

Learned Compression for Images and Point Clouds

CoRR
65 pages, 21 figures, Master's Thesis, defended in ...
openaire   +2 more sources

Testing and Simulation of Multilayer Polyvinylidene Fluoride‐Based Piezoelectric Energy Harvester Devices

Advanced Materials Technologies, EarlyView.
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin, Silvia Monchetti, Paolo Emilio Puddu, Luciano Teresi, Antonio DeSimone, Roberto Brighenti   +5 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Point cloud geometry compression based on the combination of interlayer residual and IRN concatenated residual

Graphical Models
Point clouds have been attracting more and more attentions due to its capability of representing objects precisely, such as autonomous vehicle navigation, VR/AR, cultural heritage protection, etc.
Meng Huang, Qian Xu, Wenxuan Xu
doaj   +1 more source