ScholarWorks@Korea University: Mun, Du hwan

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Mun, Du hwan (문두환)

College of Engineering

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Tel 02-3290-3359
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Deep learning:6||deep learning:4||Point cloud:4||3D reconstruction:3||Brep model:3||3D printing:2||lightweight model:2||piping and instrumentation diagram:2||3D CAD model:2||data interface:2||machining feature:2||Digitization:2||ships:2||Part maintenance:2||ISO 15926:2||Piping and instrumentation diagram:2||offshore plants:2||Mechanical parts:2||Viewbased 3D shape retrieval:1||Plant 3D CAD model:1||Mesh offset:1||Authoring System:1||Piping and Instrumentation Diagram:1||Motor part:1||digital diagram generation:1||Computeraided manufacturing:1||graph neural networks:1||3D scanning:1||Continuous line:1||Sentence disassembly:1||Dynamic rule subset selection:1||Image resolution selection:1||classification system:1||Delta volume generation:1||neutral model:1||process plant:1||High density:1||jet engine parts:1||Curvaturebased segmentation:1||Partial torus:1||manufacturability evaluation:1||machining features:1||Iterative mesh offset:1||Pig weight estimation:1||symbol detection:1||CMMS:1||weld line:1||Topological element:1||Contract document:1||Design verification:1||Depth image:1||3D shape script:1||shape similaritybased search:1||Model simplification:1||Multiobjective optimization:1||Genetic algorithm:1||feature descriptor:1||image processing:1||Anklefootorthoses:1||Finite element analysis:1||Design feature recognition:1||Multihead attention:1||Automated topology search:1||Natural language processing (NLP):1||Rule generation:1||Artificial intelligence:1||lightweight visualization:1||Ship outfitting model:1||Element division and smoothing:1||Reference data dictionary:1||DEXPI:1||topology reconstruction:1||welding path:1||Realtime weight estimation:1||Pigs:1||Design requirements:1||Design specification:1||B rep model:1||Relational descriptor:1||Boundary representation model:1||Graph neural network:1||data minimization:1||structural design:1||Component type identification:1||computeraided manufacturing:1||searchandcopy strategy:1||Elbow fitting:1||Parameter extraction:1||line object:1||Additive manufacturing:1||encoder and decoder:1||DEXPI defacto standard:1||Digitalization:1||data exchange:1||welding material quantity:1||· Deep learning · Line · Image processing · Object recognition · Piping and instrumentation diagram:1||boundary representation:1||Image processing:1||Hybrid MLPCNN:1||Ruleembedded BOM:1||Feature retrieval:1||Boundary representation:1||Dataset generation:1||Graph attention network:1||Structural query language:1||Line classification:1||Viewpoint selection:1||catalog library management:1||NSGAII:1||3D shape:1||Reconstruction:1||collaborative project management:1||Object recognition:1||Texts:1||machining:1||shape search:1||Marching cubes algorithm:1||Diagram Digitalization:1||Part specifications:1||text recognition:1||reference data:1||smart production:1||Shape simplification:1||Feature descriptor:1||Machining feature recognition:1||Central nervous system disease:1||Ground sink susceptibility:1||Design guideline:1||Risk sentences:1||model simplification:1||plant 3D design:1||Multiobjective evolutionary algorithm:1||3D printer:1||Partially damaged part:1||3D design model:1||Piping and instrumentation diagrams:1||Computeraided design:1||manufacturability criteria:1||Partially damaged area:1||Delta volume:1||Convolutional neural networks:1||Generative adversarial networks:1||face segmentation:1||Rulebased classification:1||Urban area:1||Knowledgebase:1||Design feature:1||Topological query:1||Rule knowledgebase:1||Catalog retrieval:1||Symbols:1||Plant design system:1||descriptorbased comparison:1||object recognition:1||convolutional neural networks:1||Catalog book:1||line recognition:1||Asset Administration Shell:1||Range constraint:1||Underground pipe:1||Information extraction:1||Natural language processing:1||CAD model retrieval:1||Relational rule representation:1||Shape descriptor:1||

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