성균관대학교 · Engineering
이 교수의 연구실은 건축물의 수명주기 전반에 걸친 디지털 트윈 구현과 스마트 건축 운영을 핵심으로 하며, 디지털 트윈 기반의 실시간 모델 검증, 보정 및 융합 기술 개발에 중점을 둡니다. 특히 건축 산업 특성에 맞춘 비침습적 현장 내 모델링 및 가상 센서 기술을 통해 에너지 효율성과 지능형 운영을 실현합니다. 나노소재 기반의 전자 소자 응용도 함께 연구하여 스마트 건축의 하드웨어 기반 기술을 통합하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
This study proposes a novel framework and methodology for building digital twinning (BDT) over the life cycle of a building. It aims to establish an intrinsic digital twin framework and methodology in the building sector, considering the inherent characteristics of the building industry compared with other industries, such as manufacturing. Thus, the framework includes digital twin elements, functional requirements, and enabling techniques and provides in-depth insight into the implementation of
Virtual sensing technologies have a huge potential in an informative and reliable sensing environment, which is essential to provide and maintain intelligent services in building life-cycle and digitalization. However, there remains a lack of comprehensive literature reviews and suggestions regarding virtual sensing applications in the building sector. The existing virtual sensing classification affords limited insight into virtual sensor modeling, verification, and calibration in building opera
An array of metal-ferroelectric-semiconductor field effect transistors (MFSFETs) is fabricated on a silicon-on-insulator (SOI) structure using SrBi/sub 2/Ta/sub 2/O/sub 9/ as the gate insulator. It is demonstrated that each FET shows good characteristics as a nonvolatile analog memory due to partial polarization of the SrBi/sub 2/Ta/sub 2/O/sub 9/ film and that the array operates as an electrically modifiable synapse circuit for carrying out the weighted sum operation in an artificial neural net
