feat(backend,docker,docs): implement Go/Gin/SQLite REST API server, Docker containerization, and architecture specifications
- Implement standalone Go backend API server using Gin and pure-Go SQLite (modernc.org/sqlite) - Add 11-table schema DDL migrations (000001_init.up.sql) based on DATA_TABLE.md - Add seed data ingestion tool (cmd/seed) and static TypeScript content exporter (cmd/export-content) - Add configuration loader (internal/config) supporting environment variables and .env files (HOST, PORT, DB_PATH, GIN_MODE, CORS_ALLOW_ORIGINS, AUTO_MIGRATE) - Add lightweight multi-stage Dockerfile and docker-compose.yml with persistent SQLite volume - Add comprehensive architecture specification (ARCHITECTURE.md) and REST API interface specification (API_INTERFACE.md) - Harmonize frontend publications page to consume isHighlight flag from database-synced content
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[
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{
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"slug": "iot-standards",
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"title": "AIoT & AI-RAN",
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"abstract": "AIoT & AI-RAN investigates agent-based IoT architectures in which autonomous AI agents are distributed across sensor, edge, and radio access layers. The project studies agent-to-agent coordination over high-performance transport (gRPC/QUIC) bridged with constrained edge protocols (MQTT/CoAP), targeting AI-RAN designs for distributed autonomous control.",
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"keywords": [
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"AIoT",
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"agent-based IoT",
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"AI-RAN",
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"constrained edge protocols",
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"distributed autonomous control"
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],
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"standardsTrack": "National Research Foundation of Korea (NRF)",
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"standardsOrg": "NRF",
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"period": "2026 ~ Present",
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"deliverables": []
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},
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{
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"slug": "ccis",
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"title": "MCM",
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"abstract": "Multilateral and Collaborative Metaverse (MCM) refers to metaverse systems in which two or more participants simultaneously interact within a shared virtual space for a common collaborative purpose. Unlike single-user or purely competitive environments, an MCM service is defined by coordinated participation: its intended outcome cannot be achieved by a single user acting alone. The project defines general requirements, service classification, and a gap analysis against existing standards.",
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"keywords": [
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"MCM",
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"metaverse",
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"shared virtual space",
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"coordinated participation",
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"service classification"
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],
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"standardsTrack": "IEC/TC 100/WG 12 supported by KEIT",
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"standardsOrg": "IEC TC100",
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"period": "2026 ~ Present",
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"deliverables": []
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},
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{
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"slug": "vlc-iot",
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"title": "MVQM",
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"abstract": "Management of Visual Quality in Metaverse Systems (MVQM) is a conceptual and functional approach for managing visual quality by dynamically adapting visual data delivery in response to user context, device capability, and network conditions. It emphasizes user-centric, context-aware quality management over static system-centric optimization, covering hybrid visual assets, level of detail, and area of interest adaptation.",
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"keywords": [
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"MVQM",
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"visual quality",
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"hybrid visual assets",
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"level of detail",
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"area of interest"
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],
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"standardsTrack": "IEC/TC 100/WG 12 supported by KEIT",
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"standardsOrg": "IEC TC100",
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"period": "2026 ~ Present",
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"deliverables": []
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}
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]
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