Jin-Kook Lee
연세대학교 실내건축학과 · 공학
이 교수의 연구실은 건축·설계 분야의 디지털 전환을 선도하는 연구를 수행하고 있습니다. 인공지능 기반 자연어 처리와 딥러닝을 활용해 건축 설계 규칙의 자동 해석 및 준수 검증, 실내 디자인 스타일의 스마트 식별, 가상현실 기반 설계 시각화 기술을 개발하고 있습니다. 특히 BIM 기반 자동 허가 심사 시스템과 텍스트 기반 이미지 생성 기술을 접목한 창의적 설계 지원 도구 개발에 초점이 맞춰져 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Abstract This paper discusses an approach to augmented virtual reality (AVR) and 360-degree spatial visualization. The approach involves locating stereoscopic three-dimensional virtual objects into a real off-site panorama, supporting spatial remodel design decision-making through realistic comparisons. Previous studies have shown that in the design process, end-user engagement promotes the quality and satisfaction of design solutions. Immersive media such as virtual reality (VR) and augmented r
This paper describes an approach for identifying and appending interior design style information stochastically with reference images and a deep-learning model. In the field of interior design, design style is a useful concept and has played an important role in helping people understand and communicate interior design. Previous studies have focused on how the interior design style categories can be defined. On the other hand, this paper focuses on how stochastically recognizing the design style
Abstract This paper describes an approach to extracting a predicate-argument structure (PAS) in building design rule sentences using natural language processing (NLP) and deep learning models. For the computer to reason about the compliance of building design, design rules represented by natural language must be converted into a computer-readable format. The rule interpretation and translation processes are challenging tasks because of the vagueness and ambiguity of natural language. Many studie
This paper presents an approach for defining high-level implementable methods to improve their low-level rule-checking procedures. This is part of an effort to develop challenging building information modeling (BIM)-enabled applications for building permits through automated code compliance checking. The main approach described here aims to alleviate the time-consuming and error-prone tasks of translating natural language into explicitly defined rules. An explicit expression of design requiremen
Abstract This study introduces a novel approach to architectural visualization using generative artificial intelligence (AI), particularly emphasizing text-to-image technology, to remarkably improve the visualization process right from the initial design phase within the architecture, engineering, and construction industry. By creating more than 10 000 images incorporating an architect’s personal style and characteristics into a residential house model, the effectiveness of base AI models. Furth
Room temperature ionic liquids have been used as electrolytes to investigate the performance and the characteristics in dye-sensitized solar cells (DSSCs). We focused on quasi-solid state electrolyte using ionic liquids, which are non-volatile liquids having relatively high conductivities. We studied the performance of the DSSC device with different anion or cation structures of ionic liquids. The power conversion efficiency of the DSSC device using [EMIm]+[PF6]− under 100 mA/cm2 is achieved up
As a subset standard for domain-specific building information modeling (BIM) data exchanges, a model view definition (MVD) has been developed under the Industry Foundation Class (IFC) schema. When a MVD is constructed, specific domains have employed numerous concepts that entail modularized definitions for entities, attributes, relationships, and properties to avoid redundancy in data exchange requirements. Few underlying frameworks, however, assist in either the reliable development of MVDs or