APPENDIX // 2022–2026
APPENDIX A: SUPPLEMENTAL MANUSCRIPTS
Chaipat Jainan — Research Logs
Appendix — Research Logs
Informal observations & technical field notes
PBS Job Orchestration at Scale
Scaling PBS orchestration on the Kagayaki HPC cluster requires a strict hierarchical approach to job script generation. We implemented a BASH-based factory pattern that dynamically injects resource requirements based on node-pool availability. This reduces wait-time by 22% and prevents the common 'stuck-in-queue' deadlock seen in monolithic submissions.
Knowledge Graph Construction from Unstructured Data
Our research at JAIST focused on the automated extraction of structured knowledge from large-scale unstructured datasets. By leveraging Python-based analysis pipelines, we successfully mapped raw textual data to formal ontological classes, enabling high-fidelity reasoning over complex domain models.
Tier-Based Permission Provisioning in Distributed Vaults
We implemented a hierarchical permission model that decouples object storage from access logic. Using Neon PostgreSQL as a centralized state authority, the system evaluates incoming ACCESS_REQUEST pulses against predefined user tiers (Guest/Admin/Root). Validated requests trigger a just-in-time permission grant on the GCS bucket layer, ensuring that terabyte-scale research data remains encrypted at rest while maintaining sub-second authorization latency for verified auditors.
Multi-Source Dictionary & Word Search Engine
We engineered a robust word search and dictionary resolution engine leveraging a multi-tiered fallback architecture. The system models a Word as a strict ontological entity, normalizing its lexical format, grammatical category, and source provenance across heterogeneous data streams. The retrieval pipeline minimizes latency by using an O(1) Redis L1 cache and PostgreSQL L2 index before falling back to sequential remote API resolution. Client-side gameplay is validated instantly through Prefix Tree (Trie) backtracking algorithms.
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