Project Summary
To contribute to the convergence of ICT intelligence and the development of local industries, three areas of research were conducted to solve practical problems based on the demand of local companies
1. Real-time Lightweight DDS, Diagnostic Trouble Prediction Technology
: Implementation of high-reliability/real-time enhancement technology of smart factory using state diagnosis/trend display techniques for fault detection/prediction - Light-weight Data Distribution Service (DDS) technology for large-scale IoT equipment management and real-time improvement - Fault detection prediction technology of smart factory edge nodes for improved reliability
2. Next-generation mobility technology
: Implement next-generation futuristic mobility technology that replaces human movement or maximizes human mobility by utilizing robot technology - Multi-Joint link-type ruggedness-overcoming robots that can replace human resources in various situations through environmental awareness technology and mechanical design mechanism technology - Wearable strength assistant robot platform that maximizes operator mobility and mobility efficiency through ergonomic design technology and strength assistant robot system control technology
3. Complex Knowledge Graph Inference Techniques
: Knowledge extraction technology that can extract recyclable children from documents existing in various subject domains, knowledge graph self-proliferation technology research that can expand and build knowledge that can be used in real domains, and convergence reasoning techniques for efficient reasoning. - Technology research that automatically recognizes and accurately extracts key knowledge elements from various documents containing heterogeneous knowledge to build a complex knowledge graph. - Applying optimization technology that automatically generates knowledge required to apply to major tasks in the target domain and completes XAI (Explicable AI) technology in the reasoning process required for tasks based on this
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