edge computing

ReSNNance: an HDL generation framework for spiking neural networks

Spiking neural networks (SNNs) are a promising computational paradigm for resource- and energy-constrained edge applications. However, their implementation on field-programmable gate arrays (FPGAs) remains a complex task that typically requires both neuromorphic-computing knowledge and hardware-description expertise. T...

Theoretical RR Lyrae instability strip from MESA-RSP pulsation models and updated BaSTI evolutionary tracks

RR Lyraes (RRLs) are important tracers of old stellar populations and crucial distance indicators. To complement large variability surveys such as and Rubin-LSST, the topology of the RRL instability strip (IS) and their period-luminosity-metallicity (PLZ) and period-Wesenheit-metallicity (PWZ) relations must be updated...

WasmStone: Enabling Transparent Execution of Standalone WebAssembly Applications in Keystone

Higher-Order Boundary Conditions for Atomistic Dislocation Simulations

Abstract. We present a higher-order boundary condition for atomistic simulations of dislocations that address the slow convergence of standard supercell methods. The method is based on a multipole expansion of the equilibrium displacement, combining continuum predictor solutions with discrete moment corrections. The co...

Design and Implementation of an Edge Computing-based AI Vision Inspection System

This study proposes an edge computing-based artificial intelligence (AI) vision inspection system for manufacturing sites and validates it through a soldering inspection case study. While AI-based vision inspection offers higher accuracy compared with conventional rule-based methods, it suffers from increased computati...

THE EL-RAKHAWI SOVEREIGN BIO-DIGITAL SYMBIOSIS PROTOCOL (SBDSP) A Unified Framework for Personalized Nano-Medicine, Genomic Regeneration, and Sustainable Energy, Governed by Existential Ethics

The El-Rakhawi Sovereign Bio-Digital Symbiosis Protocol (SBDSP) (DOI: 10.5281/zenodo.23349432) presents the ultimate unified framework integrating four critical domains: (1) Quantum-secured genomic data vaults using CRYSTALS-Kyber/ML-KEM protecting patient sovereignty; (2) Open-Source Targeted Lipid Nanoparticles (OS-T...

An agentic AI framework with large language models and chain-of-thought for UAV-assisted logistics scheduling with mobile edge computing

In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC). This joint operation forms a hybrid scheduling problem, where physical logistics decisions are coupled with computational task scheduling. In this paper, UAVs collect finished products from manuf...

Edge Intelligence and Adaptive Resource Management for Smart Services: Placement, Scheduling and Dispatch From Devices to the Cloud

Smart Services Such As Health Monitoring, Camera-Based Access Control And Ride-Hailing Must Decide What To Compute, Where To Compute It And When. Sending Every Reading To The Cloud adds Delay And Network Load, While Running Every Model On The Device Drains Its Battery And Memory. Edge Computing Places Processing Betwee...

Detecting Fugitive Gas Emissions from IIoT Telemetry

Abstract The oil and gas industry faces increasing pressure for continuous, measurement-informed methane emissions monitoring, driven by voluntary frameworks such as OGMP 2.0 and regulations such as the U.S. EPA's OOOOb rules (U.S. EPA 2024b). Optical Gas Imaging (OGI) is the established detection method, but ubiquitou...

A neuro-symbolic clinical decision support system for chronic pain management using structured derivation traces, adaptive compute, and knowledge graph constraint checking: comparison with 30 physicians from pain-relevant specialties

Chronic pain management requires complex multidisciplinary reasoning integrating pharmacological, interventional, rehabilitative, and psychosocial approaches across multiple guideline frameworks (International Association for the Study of Pain [IASP], American College of Rheumatology [ACR], European Alliance of Associa...

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics

The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time inference and decision-making, intelligent dat...

Autonomous Edge-Deployed AI System for Real-Time MPD Control and Optimization

Abstract Current Managed Pressure Drilling (MPD) systems rely heavily on operator interpretation, rule-based automation, and reactive responses to wellbore events, approaches fundamentally limited by human response times, static control algorithms, and inability to learn from operational experience. This paper introduc...