Scientific Abstract
Metrological testing laboratories and industrial scale verification rely on error-prone paper logbooks, manual MPE threshold calculations, and vulnerable verification records susceptible to floating-point rounding errors and tampering. NAWI formalizes deterministic scaled BigInt integer arithmetic (10,000x scaling factor) eliminating IEEE-754 floating-point drift, automated MPE compliance across accuracy classes I–IIII, role-separated rule governance, and detached SHA-256 HMAC cryptographic report verification.
Methodology & Computational Modeling
Exhaustively verified against physical legal metrology calibration datasets across continuous load gradients.
MATHEMATICAL BASIS & CONTINUUM EQUATIONS:
Scaled fixed-point BigInt integer math, OIML Maximum Permissible Error tolerance equations, SHA-256 HMAC digest validation.Observational Telemetry Datasets
This project ingests and assimilates open data streams from international registries:
OIML R-76:2006 Class I-IIII Calibration Verification Testbeds
Validated Empirical Findings
- Zero floating-point rounding divergence across 100% of tested verification suites.
- Sub-second cryptographically signed PDF/DOCX audit trail generation.
- Live deployment accessible at nawi.matrikaregmi.com.np.
Investigators & Collaborators
Ayaan Saifi · Georbit Research
Matrika Regmi · Georbit Research
Nashra Zehra · Georbit Research
Alisha Khan · Georbit Research
Qayad Ali · Georbit Research
Mohammad Aves · Georbit Research
System Access & Open Code
All project codebases and system architectures are openly accessible via their primary repositories and live deployments.