edge computing

Numerical admissibility and regularization of shear-suppression closures for reduced tokamak transport: model, solvers, tests, figures and manuscript

Version 1.1.1. Wording revision of 1.1.0 after review: the title is changed, the well-posedness claims are qualified as numerical (no existence-uniqueness theorem is claimed for the nonlinear heat problem), the inverse-square gain relation is described as an empirical fit over the tested range, the ITER89-P agreement i...

A Holistic Lifecycle-Oriented Analysis of High-Performance Lithium-Ion Batteries: Aging, Advanced Diagnostics, Thermal Management, and Digitalized Education

Lithium-ion batteries (LIBs) have become central to modern energy storage systems, yet their increasing material and electrochemical complexity introduces significant challenges across their entire lifecycle. During first-life operation, high-performance applications such as fast charging require advanced and adaptive...

On Seven Conjectures of Fuchs on Billiard Trajectories in Regular Polygons and Geodesics on the Regular Dodecahedron

In a problem contribution (Arnold Math. J. 7 (2021)), D. Fuchs stated seven conjectures on the billiard trajectories in a regular n-gon which join two vertices (short trajectories) and on their n − 2 types A_0, ..., A_{n−3}, on closed trajectories, and on geodesics on the regular dodecahedron. We decide all seven. The...

A homomorphic hash-based multi-replica data integrity verification scheme for edge computing

The Tragedy of the Confidence Commons Optimal Belief-Update Rate, Adaptive Overconfidence, and the Tail Index as Commons

Abstract Twenty-five centuries of moral exhortation have not visibly made people better calibrated. This paper offers an explanation: the person being exhorted has not made a mistake. In adversarial environments the individually optimal belief bias Δ★ may be strictly positive while the collectively optimal bias is zero...

Advancements in Wireless Technologies for IIoT

enhancements and mechanisms are needed to push determinism deeper into the application layer and across multi-domain paths.The integration of 5G, TSN, and Open Platform Communications Unified Architecture (OPC UA) is not yet fully mature, with ongoing standardisation work in 3rd Generation Partnership Project (3GPP), I...

Bias-reconfigurable barrier photodetectors for integrated broadband sensing and neuromorphic vision

Intelligent vision systems demand photodetectors with reconfigurable response to support diverse modalities like high-speed sensing and neuromorphic processing. Here we show a bias-reconfigurable barrier photodetector that enables continuous modulation of response time across 7 orders of magnitude, from 614 ns to 8.28...

A minimal, deployment-agnostic zero trust cybersecurity framework for federated research infrastructures

This work presents a minimal yet comprehensive cybersecurity architecture built around Zero Trust principles and darknet-inspired principles, which significantly reduces complexity, enhances security, and maintains flexibility in federated research scenarios.

Tree Rearrangement Graphs Admit Paths of Decreasing Robinson-Foulds Distance

Tree rearrangements such as Nearest Neighbor Interchange (NNI) and Subtree Prune and Regraft (SPR) are commonly used to explore phylogenetic treespace. Computing distances based on them, however, is often intractable, so the efficiently computable Robinson-Foulds (RF) distance is used in practice. We investigate how th...

ADVANCED COMPUTING TECHNOLOGIES: IoT,BLOCKCHAIN, AI, AND MACHINE LEARNING

The rapid convergence of the Internet of Things (IoT), Blockchain, Artificial Intelligence (AI), and Machine Learning (ML) is fundamentally reshaping the landscape of modern digital infrastructure. While each of these paradigms has individually driven massive technological leaps, their true transformative power lies in...

EPACE-FL: Efficient Privacy-Preserving And Communication in Edge Computing of Federated Learning

Edge AI and Federated Learning for Privacy-Preserving IoT Systems: System Architectures, Non-IID Optimization, and Security Bounds

Abstract—The proliferation of Internet of Things (IoT) devices has created an unprecedented surge in decentralized telemetry, sensor data, and localized computational workloads. Conventional cloud-centric machine learning architectures require centralized pooling of raw edge data, which induces prohibitive wide-area ne...