๐๏ธ์๋ ํ์ธ์, ์ต๊ธฐ์ฐฝ์ ๋๋ค
์๊ฐ
์ฐ์ธ๋ํ๊ต ์ค๋งํธ์ธํ๋ผ์ฐ๊ตฌ์ค ์์ ๋ฐ์ฌ๊ณผ์ ํ์์ผ๋ก, ๊นํ์กฐ ๊ต์๋์ ์ง๋ ์๋ ์ฐ๊ตฌ๋ฅผ ์งํํ๊ณ ์์ต๋๋ค. AI์ Deep Learning ๊ธฐ์ ์ ๊ฑด์ค๊ณตํ ๋ถ์ผ์ ์ ์ฉํ๋ ์ฐ๊ตฌ๋ฅผ ์ํํ๊ณ ์์ผ๋ฉฐ, ํนํ ๋ค์ ๋ถ์ผ์ ์ง์คํ๊ณ ์์ต๋๋ค:
- ๊ฑด์ค ๋๋ฉ์ธ ํนํ Retrieval Augmented Generation (RAG)
- ๊ฑด์ค ์ง์ ํํ์ ์ํ Embedding Model
- AI ๊ธฐ๋ฐ ์ผ์ฑ ํ๋ซํผ์ ํ์ฉํ ์ ๋ฐฉ ๋ถ๊ดด ์์ธก
- 3D ํ๋ฆฐํ ๋ฐ ํ์ง ๊ด๋ฆฌ๋ฅผ ์ํ ์ฝํฌ๋ฆฌํธ ์ ๋ณํ์ ํน์ฑ ๊ฒ์ถ
๊ธฐ์ ์คํ
๐ Python ๐ฅ PyTorch ๐ RAG Systems ๐ LangChain ๐ฅ๏ธ PyQt ๐ณ Docker ๐๏ธ BIM ๐ฆ Axolotl ๐ฆพ RobotStudio
ํ๋ ฅ
๊ฑด์คํ๊ฒฝ๊ณตํ๊ณผ ๋ฐ์ฌ๊ณผ์ (2023.03 - ํ์ฌ) ์ฐ์ธ๋ํ๊ต, ์์ธ ์ง๋๊ต์: ๊นํ์กฐ ๊ต์ ํ์ : 4.09/4.5
๊ฑด์ถ๊ณตํ๊ณผ ํ์ฌ (2013.03 - 2019.02) ๋จ๊ตญ๋ํ๊ต, ์ฉ์ธ ํ์ : 3.43/4.5
๋ ผ๋ฌธ
Choi, K., Jeong, M., Kim, T., Kim, S., Baek, S., & Kim, H. (2026). โRAMASC: A Retrieval-Augmented Multi-Agent Framework for Automated Structural Calculationโ, Advanced Engineering Informatics. [DOI]
Choi, K., Jeong, M., Shin, Y., Ma, J., Kim, K., & Kim, H. (2025). โRetrieval Optimization for Construction Documents in Low-Resource Languages Using Contrastive Sentence Generation and Matryoshka Representation Learningโ, Automation in Construction.
Idrees, S., Nugraha, J.A., Tahir, S., Choi, K., Choi, J., Ryu, D.H., Kim, J.H. (2024). โAutomatic concrete slump prediction of concrete batching plant by deep learningโ, DEVELOPMENTS IN THE BUILT ENVIRONMENT
Basha, S.I., Nugraha, J.A., Rehman, A.U., Choi, K., Park, S., Kim, J.H. (2024). โStructuration and yield strength characterization of hybrid alkali-activated cement composites (HACC) for ultra-rapid 3D construction printingโ, CONSTRUCTION AND BUILDING MATERIALS
Rehman, A.U., Kang, M., Basha, S.I., Choi, K., Kim, J.H. (2024). โKnife Cut Test of Concrete: The Introduction of a New Test Method for Measurement of the Structural Build-Up of 3D Concrete Printing Materialsโ, RILEM BOOKSERIES
Rehman, A.U., Basha, S.I., Choi, K., Kang, M., Kim, J.H. (2024). โAn Analysis of Penetrometer Test Methods for Structural Build-Up in Stiff and Accelerated 3D Concrete Printing Mixturesโ, SPRINGER
ํ๋ฆฌํ๋ฆฐํธ
- ์ฌ์ฌ ์ค โ Choi, K., Shin, Y., Kim, Y., Osman, K., & Kim, H. (2026). โMANTA: Multivariate Attention Network for Short-Term Water-Level Forecastingโ, SSRN. [SSRN] ยท [์ค์๊ฐ ์์คํ ]
ํํ ๋ฐํ
Chern, W.C., Choi, K., Asari, V., Kim, H. โThe 10th International Conference on Construction Engineering and Project Managementโ, ICCEPM, ์ฟํฌ๋ก, ์ผ๋ณธ (2024.07) - ๊ตฌ๋ ๋ฐํ
Choi, K., Baek, S., Kim, H. โ2024 ์ ๊ธฐ ํ์ ๋ํโ, ํ๊ตญ๊ฑด์ค๊ด๋ฆฌํํ, ์ ์ฃผ (2024.11) - ๊ตฌ๋ ๋ฐํ
Choi, K., Baek, S., Ma, J., Kim, H. โEfficient RAG(Retrieval-Augmented Generation) for Construction in Low-Resource Languageโ, ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction - ๊ตฌ๋ ๋ฐํ
ํ๋ก์ ํธ
์ ๋ฐฉ ๋ถ๊ดด ์กฐ๊ธฐ ๊ฐ์ง ๋ฐ ์ ์ ์ ๋์์ ์ํ ์์จ ์งํํ AI ๊ธฐ๋ฐ ์ค๋งํธ ์ผ์ฑ ํ๋ซํผ (MANTA) (2024.08 - ํ์ฌ) ํ๋ก์ ํธ ๋งค๋์ ์ ๋ฐฉ ๋ถ๊ดด ๊ฐ๋ฅ์ฑ์ ๋ชจ๋ํฐ๋งํ๊ณ ์กฐ๊ธฐ ๊ฒฝ๋ณดํ๋ AI ๊ธฐ๋ฐ ์์คํ ๊ฐ๋ฐ ์ค์๊ฐ ์์คํ ์ด์ ์ค - ์ ๊ตญ ์์ ์์ธก ๋ณด๊ธฐ
Construct-RAG: Contrastive Sentence Training & Retrieval Using Chunk Block-Based Text (2024) ํ๋ก์ ํธ ๋งค๋์ Dataset ์์ฑ ๋ฐ Embedding Model Fine-tuning
Eugene ์ฝํฌ๋ฆฌํธ ์ฌ๋ผํ ์์ธก ํ๋ ์์ํฌ ๊ฐ๋ฐ (2023.03 - ํ์ฌ) Software ๋ฐ Deep Learning Model ๊ฐ๋ฐ์ ๋ฐฐ์นญ ํ๋ํธ์ ํ์ง ๊ด๋ฆฌ๋ฅผ ๊ฐ์ ํ๊ธฐ ์ํ ์ฝํฌ๋ฆฌํธ ํน์ฑ ์์ธก ๋ชจ๋ธ ๊ฐ๋ฐ
ABB ๋ก๋ด ๊ธฐ๋ฐ ์๋ํ Vane Testing ์์คํ (2023) ๋ก๋ด ํ๋ก๊ทธ๋๋ฐ ์ ๋ฌธ๊ฐ ์นด๋ฉ๋ผ์ Depth Sensor๊ฐ ์ฅ์ฐฉ๋ ABB ๋ก๋ด์ ์ ์ด ์์คํ ์ ๊ฐ๋ฐํ์ฌ ๊ฑด์ค ์ฌ๋ฃ ํน์ฑ์ ์ ๋ฐ ์ธก์ ์ ์ํ ์๋ํ Vane Test ์ํ
