Abstract Working memory updating is a crucial cognitive function for learning and academic achievement that develops significantly throughout childhood and adolescence. Despite the varieties of existing tasks to measure children's working memory updating, its overall developmental trajectory and task‐specific developmental patterns remain inadequately ...
Ye Song, Chen Cheng
wiley +1 more source
Secure and fault tolerant cloud based framework for medical image storage and retrieval in a distributed environment. [PDF]
Amaithi Rajan A, V V, M A, R PK.
europepmc +1 more source
UBVH: Unified Bounding Volume and Scene Geometry Representation for Ray Tracing
Abstract Bounding volume hierarchies (BVHs) are currently the most common data structure used to accelerate ray tracing. The existing BVH methods distinguish between the bounding volume representation associated with the interior BVH nodes and the scene geometry representation associated with leaf nodes.
M. Káčerik, J. Bittner
wiley +1 more source
Encoding Occupancy in Memory Location for Efficient and Compact High‐Resolution Voxel Structures
We encode information about geometric structure into the pointers of a sparse voxel directed acyclic graph (SVDAG). Each pointer carries information about the structure of the node it points to. Our encoding improves ray tracing performance and reduces model size in memory.
Jaina Modisett, Markus Billeter
wiley +1 more source
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source
Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption. [PDF]
Madhumathi CS, Vishnu Kumar K.
europepmc +1 more source
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source
A Secure Data Sharing Model Utilizing Attribute-Based Signcryption in Blockchain Technology. [PDF]
Song C, Chen L, Wu X, Li Y.
europepmc +1 more source
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source
Hardware Acceleration-Based Privacy-Aware Authentication Scheme for Internet of Vehicles Using Physical Unclonable Function. [PDF]
Madububa Mbachu U +6 more
europepmc +1 more source

