Skip to content
#software testing Open access

Substation-Level Software-Defined Traveling Wave Dynamic Line Rating Kernel

Aug 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Sovereign Infrastructure Bare-Metal Microkernel Framework for Asymmetric Dual-Core Industrial Assets Executive Architectural Overview This repository contains a production-frozen, safety-critical Asymmetric Multiprocessing (AMP) bare-metal microkernel explicitly engineered for the Cortex-M4 Safety Sentinel Domain of dual-core heavy industrial power grid infrastructure [📋]. The system calculates real-time high-frequency grid traveling wave transients directly from Phasor Measurement Unit (PMU) telemetry [📋]. By eliminating dependency on fragile, external mechanical weather sensors, this deterministic processing engine safely unlocks 30% to 40% hidden thermal line transmission capacity on existing national high-voltage utility lines [📋]. Microarchitectural Invariants & Core Technical Safeguards The codebase enforces strict, microsecond-deterministic execution boundaries designed to cross un-preemptible galvanic and silicon moats under intense electrical and cyber-warfare stress [📋]: Fixed-Point Transcendental Determinism (Math Integrity): Strips out 100% of fractional floating-point definitions (float/double) to bypass non-deterministic hardware FPU processing lag and pipeline scheduling exceptions [ysD9J5]. Non-linear wave decay transformations are resolved branchlessly via integer-bound signed Q16.16 fractional format bit-shifts, utilizing a strict 4-iteration Taylor polynomial expansion to guarantee a uniform-time arithmetic execution envelope under all system loads [ysD9J5]. Multi-Physics Lifecycle Decoupling (System Life Support): Hardwired hardware interrupt vector tables are relocated entirely away from flash bus boundaries to isolated, high-speed RAM_D3 space (0x38000000) during boot [ysD9J5, 📋]. The safety calculations operate completely air-gapped from the high-overhead, non-deterministic SCADA networks and Modbus daemon loops sandboxed on the companion Cortex-M7 core—guaranteeing that local thermal loop defense arrays remain active even during an external network flood or a total host operating system freeze [📋]. Padding-Hardened Structural Alignment (Memory Safety): Shared memory crossbar registers (SRAM4) and internal workspace data structures are sorted strictly from largest data-type byte-width down to the smallest (64-bit → 32-bit → 16-bit → 8-bit) [ysD9J5]. Explicit manual padding blocks are injected to eliminate invisible compiler-generated memory voids, preventing random stack leakage onto the shared communication bus and satisfying MISRA-C:2012 / IPC Class 3 compliance invariants [ysD9J5, 0.1.1]. Pointer-Driven Telemetry Stream Packing (Data Link Integrity): Telemetry serialization handlers reject index-increment loops, executing data movement via pure pointer memory address comparison constraints (src_ptr < src_end) [ysD9J5, 0.1.1]. This approach packs variables contiguously up to terminal frame boundaries, pushing big-endian validation parity markers to the precise terminal edge bytes to eradicate data tearing or crossbar memory corruption [ysD9J5]. Build-Profile Macro Abstraction (Continuous Integration Readiness): Virtualizes low-level physical registers and clock wait-states cleanly via preprocessor directives (#ifdef USING_PRODUCTION_DRIVERS) [ysD9J5]. This permits automated continuous integration test suites to execute full-coverage memory and logic sweeps natively on standard x86/ARM64 desktop execution beds without encountering absolute memory pointer segmentation faults (SIGSEGV) [ysD9J5]. Repository Source File Directory Blueprint/Substation-Traveling Wave DLR Kernel/├── Makefile # Dual-track hardware build and macOS/Linux CI orchestrator├── README.md # System deployment manifest and specification guidelines├── LICENSE # Sovereign licensing terms (CC BY-NC-SA 4.0 Protection Shield)├── .zenodo.json # Metadata search indexer configuration schema├── include/│ ├── core_atomics.h # 32-byte cache-line aligned lock-free inter-core memory map│ └── desktop_mock.h # Desktop uintptr_t pointer virtualization layer├── linker/│ └── stm32h747_flash_sram.ld # High-velocity Load-vs-Run table mirroring script└── src/ ├── boot/ │ └── startup_stm32h7xx.S # Preprocessor-enabled vector remapping assembly module ├── drivers/ │ ├── cache_invalidation.c# Unrolled 32-byte L1 Data Cache line invalidation driver │ └── hsem_signaling.c # Atomic 1-step inter-core hardware semaphore trigger └── apps/ ├── module_vdlr_kernel.c# Branchless fixed-point traveling wave calculation stride ├── module_thermal_guard.c# Downstream valve fail-safe and pump load stride └── desktop_ci_main.c # Non-blocking single-stride desktop validation entry point Sovereign Protective Licensing Frame (CC BY-NC-SA 4.0) This technical infrastructure asset is published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License. Academic and Open Science Freedom: Educational facilities, green-tech laboratories, and public utility engineers are granted immediate right to audit, test, and adapt these configurations for non-commercial research. Viral ShareAlike Clause: Any derivative modifications or localized grid ports must be released transparently under the exact same open CC BY-NC-SA 4.0 license framework. Commercial Defensive Restriction: Multi-billion-dollar private power grids and proprietary equipment manufacturers are strictly prohibited from deploying or embedding these microarchitectural assets for commercial gain without establishing a private, paid Commercial End User License with the author [📋]. This record serves as an immutable, cryptographically signed, and time-stamped public declaration of Prior Art under international patent conventions, legally blocking external entities from capturing or enforcing proprietary novelty over these core bare-metal safety loops [📋].

View source

Similar papers

#software testing Review Aug 2026

Model-Based Agentic Software Engineering

MAGE explains how externalized knowledge, bounded action, independent evaluation, and retained human authority can compose into a governed engineering environment, and proposes tests of when that environment turns commodity intelligence into durable engineering progress.

James C. Davis, Kelechi G. Kalu, Huiyun Peng et al. · 1 citation
#software testing Preprint Aug 2026

Evaluating Inference-Time Defenses Against Package Hallucination in LLM-Generated Code

LLMs are increasingly used for code generation, yet they frequently hallucinate non-existent software packages, creating exploitable entry points into the software supply chain. We make four contributions to this problem. First, we show that prior evaluation methodologies systematically inflate hallucination rates by misclassifying standard-library modules as hallucinations in some languages. For Python, the overestimation reaches 9.4 percentage points. Second, we evaluate seven inference-time defenses for mitigating package hallucinations, including five guided decoding strategies (Greedy, Contrastive, DoLa, Nudging, and Active Layer-Contrastive Decoding), an iterative self-refinement approach (Self-Refine), and a Retrieval-Augmented Generation (RAG)-based defense.. Across eight models spanning five families and four programming languages (Python, JavaScript, Ruby, Rust), RAG reduces the package hallucination rate (PHR) in 18 of 32 model--language configurations. Third, we introduce Package Utility (PU) to assess whether defenses preserve valid and task-relevant recommendations. Among strategies evaluated, Greedy decoding provides the strongest average mitigation--utility trade-off. Fourth, we stress-test all strategies under adversarial prompts seeded with fabricated package names and find that PHR surges by up to 45 percentage points relative to standard prompts, with Ruby consistently the most vulnerable language (80.9--95.2\%). Under adversarial conditions, RAG and Self-Refine outperform all decoding-only strategies, indicating that robust defense requires either external grounding or iterative self-verification when prompts are actively hostile. Our results recast package hallucination as both a measurement problem and a decoding-time control problem, and they demonstrate that the choice of defense must be matched to the threat model and recommendation utility.

Albérick Euraste Djiré, Iyiola E. Olatunji, Melissa Tessa et al. · 1 citation
#software testing Open access Aug 2026

HawkEye: Web Vulnerability Analysis and Security Audit Tool

HawkEye is introduced, a modular, web-based vulnerability auditing platform designed to streamline security analysis by integrating multiple scanning tools within a unified dashboard and illustrates how consolidated reporting improves vulnerability prioritization for development teams.

D. R. Patil, Varad Salgare, Devaj Arya et al. · 0 citations
#software testing Review Open access Sep 2026

Application for Tracking Bugs in Software Development: Improving Project Management Efficiency

By streamlining workflows and fostering collaboration, this platform offers a scalable, cost- effective solution for SMEs and contributes to software engineering by demonstrating how integrated technologies can modernize development processes in resource limited contexts, with potential for broader adoption in Albania and beyond.

Griselda Belba TRUPJA, Agim Kasaj · 0 citations

Prospective evaluation of hearing aid fitting adjusted toward one-third functional gain in patients with sensorineural hearing loss.

OBJECTIVE To prospectively evaluate whether modifying DSL version 5-based hearing aid (HA) fittings by adjusting gain on HA fitting software so that measured functional gain (FG) approached a one-third gain (1/3G) target could provide appropriate fitting outcomes in patients with sensorineural hearing loss. METHODS Twenty-four patients (48 ears) with bilateral sensorineural hearing loss underwent initial HA fitting using the DSL version 5 prescription formula. FG was measured at 250-4000 Hz, and HA gain was adjusted on HA fitting software so that FG approached the target 1/3 G. Speech discrimination scores at 65 and 80 dB SPL were evaluated after a two-week trial period using the 67-S Japanese monosyllable word list. Based on speech discrimination test results, ears were classified as well-fitting or non-well-fitting. FG values were compared between the two groups. RESULTS Twenty-one patients (42 ears) completed the study. Thirty-one ears (73%) were classified as well-fitting. Although HA gain was adjusted toward the target 1/3 G, measured FG values at 250 and 500 Hz remained lower than the target values. In well-fitting ears, low-frequency FG values were lower than the target 1/3 G, whereas FG at 2000 Hz was close to the target value. In contrast, non-well-fitting ears showed low-frequency FG values closer to the target 1/3 G, whereas FG values at 2000 and 4000 Hz remained below the target values. CONCLUSIONS Although HAs adjusted toward a 1/3 G target did not achieve the intended FG values, particularly at low frequencies, relatively favorable fitting outcomes were obtained in approximately three-quarters of the ears. In well-fitting ears, low-frequency FG remained below the target 1/3 G, whereas FG in the mid-frequency range around 2000 Hz was close to the target value. These findings provide a basis for future prospective studies to clarify how these FG characteristics should be applied to optimize HA adjustment.

Unknown authors · 0 citations

Related blog posts

MIT News · Artificial Intelligence Aug 17, 2026

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.