edge computing

The Universal Aperture Transport System Topological Architecture, Hexadecimal Space, and the Computational Inversion of Matter

The Universal Aperture Transport System Topological Architecture, Hexadecimal Space, and the Computational Inversion of Matter Driven by Dean A. Kulik September 2026 1. The Compiling of Reality and the Table of Precedent In the prevailing paradigms of theoretical physics, information theory, and computational ontology,...

Optimized Neural Network Deployment Strategies for Edge Computing Environments

Edge computing environments present unique challenges for neural network deployment due to resource constraints and latency requirements. This paper explores optimized deployment strategies for neural networks in edge computing scenarios, focusing on model compression techniques, adaptive allocation algorithms, and dyn...

An Ultra-Low Latency, Zero-Allocation C++ Engine for Autonomous On-Board Conjunction Screening and Reactive Collision Avoidance

The exponential expansion of satellite mega-constellations and orbital debris in Low Earth Orbit increases the operational risk of catastrophic collisions. Traditional centralized, ground-based Space Situational Awareness architectures depend on heavy numerical infrastructure, human-in-the-loop validation, and continuo...

Securing the Internet of Things (IoT) Edge: A Lightweight Authentication Protocol for Resource-constrained Devices

The rapid scalability of IoT has brought computing power to the edge of the network where low powered devices have a great deal of difficulty protecting themselves from cyber-attack due to their limited resources (memory, processing, power).Current authentication protocols (i.e., TLS/DTLS, IPSec) are certainly statisti...

Autonomous Spacecraft Detumbling Under Severe Tip-Off

Autonomous Spacecraft Detumbling Under Severe Tip-Off The Problem Small satellite missions in Low Earth Orbit (LEO) face critical survival risks during post-launch separation or emergency safe-modes. In these phases, violent multi-axis tumbling rates (exceeding 90°/s) blind high-precision optical sensors and saturate m...

Memory and chaos in a physics-constrained relaxation substrate: phase diagram, multi-timescale forgetting, and disturbance robustness

Reservoir computing exploits the fading-memory dynamics of a physical substrate, yet the memory–chaos trade-off is usually studied on abstract recurrent networks with hand-tuned leak rates. We characterize a physics-constrained relaxation substrate inspired by Si3N4 shallow-trap charge storage: N units with a log-norma...

What Sets the Neural Resting Spectrum - Spectral computation from screened pair interactions

A resting cortical spectrum contains a narrow alpha peak, a weaker and narrow beta peak, and a broad component with no resolvable peak above them. Mechanistic accounts locate each rhythm in a time — a loop transit, or the decay of perisomatic inhibition — so one loop delivers one band, a second band needs a second mech...

Evaluating edge-enabled smart waste management in smart cities: A design-oriented KVI/KPI framework

Results indicate that a split-service edge architecture offers a plausible pathway toward operational efficiency, sustainability, and public value, with wider outcomes to be confirmed through longitudinal KPI-to-KVI assessment.

The Ladder of Rules F: Topological Dynamics of Rule Evolution- Condensation, Fragmentation, and Reconnection

Structural openness endows an adaptive system with the ability to modify itsown constraints, but the evolution of a rule space is not disorderly change; it isgoverned by three basic topological operators that shape its geometric skeleton:rule condensation projects multiple low-level rules into a single high-level metar...

Exact certificates for r(n) = e(n), n = 9–21: regular triangle unions

Version 6 (Augustus 2026) adds r(21) = e(21) = 231, closing the hardest rung to date after a five-day resistance documented in CHANGELOG_v6.md; the pattern now holds for thirteen consecutive values. -- Version 5 (August 2026) adds r(19) = 207 and r(20) = 220, extending r(n) = e(n) = U(n) to twelve consecutive values; t...

FedMCP++: Integrating Modular Expert Heads with Prototype-Guided Contrastive Distillation for Wireless Personalized Federated Learning

FedMCP++, a modular and communication-efficient personalized FL framework in which every client owns a complete private model—a lightweight convolutional backbone with a private expert head—and collaboration is carried out entirely through knowledge exchange rather than parameter exchange, is introduced.

Active reconfigurable intelligent surface-aided wireless powered edge computing: Joint resource allocation for User-Edge energy minimization