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@article{196798,
        author = {S Ravichandran Ayyer},
        title = {Unified Cosmic Encryption Logics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4755-4756},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196798},
        abstract = {This paper proposes a unified conceptual framework that integrates phonetic identity, stellar mapping, and temporal dynamics into a coherent analytical model. Drawing from traditional Indian knowledge systems, the study encodes human identity through syllable-based mapping to Nakshatras (lunar constellations), thereby establishing a structured “cosmic identity signature.” This is further complemented by a numerical encoding layer, where alphabetic characters are converted into standardized numerical values, enabling computational representation and pattern analysis. In addition to identity encoding, the model introduces a lunar phase–based decision logic, wherein cognitive clarity and decision confidence are hypothesized to vary systematically across the lunar cycle. The ascending (waxing) phase is associated with increasing clarity and optimal decision windows, while the descending (waning) phase reflects gradual decline in certainty and effectiveness. By integrating these three dimensions—phonetic (sound), stellar (cosmic mapping), and temporal (lunar cycle)—the proposed framework offers a tri-layered system for understanding identity and decision-making processes. Case studies are included to illustrate practical applications in personal, educational, and business contexts. The model aims to bridge qualitative traditional concepts with quantitative representation, opening pathways for interdisciplinary research in computational astrology, behavioral modeling, and decision sciences. Further empirical validation is recommended to establish statistical reliability and broader applicability.},
        keywords = {},
        month = {April},
        }