This research addresses the challenges faced in collecting and managing repair history information for architectural heritage due to its distribution among different institutions. To overcome this problem, study proposes a building modeling (BIM)-based management framework that links non-formal details of BIM. was applied case Great Hero Hall Sudeoksa Temple Yesan, South Korea. A database form structured data adhering historic standard utilized. The proposed effectively syncs with BIM...

The rapid advancement of artificial intelligence (AI) has spurred innovation across various domains—information technology, medicine, education, and the social sciences—and is likewise creating new opportunities in architecture for understanding human–environment interactions. This study aims to develop a fine-tuned AI model that leverages electroencephalography (EEG) data analyse users’ emotional states real time apply these insights architectural spaces. Specifically, SEED dataset—an...

The Reich Chancellery, built by Albert Speer, was designed with an overwhelming ambience to represent the worldview of Hitler. interior Chancellery comprised high-ceiling and low-ceiling spaces. In this study, change in a person’s emotions according ceiling height while moving examined through brain wave experiments understand stress index for each building space. recreated VR, data collected per space were processed first second analysis. analysis, beta changes related calculated, highest...

In building information modelling (BIM), the amount of increases and architectural design processes become more complex as projects expand. This is because while a collaboration environment important for smooth communication among experts, this has not been realized unclassified file synchronization permission settings team members. Therefore, study aims to support cooperation in BIM by synchronizing data from different computers rendering project management easier providing model viewer...

The unique characteristics of traditional buildings can provide fresh insights for sustainable building development. In this study, a deep learning model and methodology were developed classifying by using artificial intelligence (AI)-based image analysis technology. was constructed based on expert knowledge East Asian buildings. Videos images from Korea, Japan, China used to determine types classify locate structural members. Two algorithms applied object recognition: region-based...

In South Korea, the changing paradigm of family composition toward single-person households and nuclear families has caused decrease in number students, which led to need for change qualitative, rather than quantitative, management spaces facilities on university campuses.In particular, since 2005, merging universities have accelerated, brought up a system that facilitates integrated systems.Accordingly, now require efficient operation based three-dimensional data visualization, unlike...

An architectural pre-design, which is conducted prior to the architecture design, supports fundamental configuration during entire AEC project by predicting cost, demand, etc., of building, and therefore gaining importance. In particular, massing calculation predesign phase should be prioritized, as it outline. However, most architects depend on only their experience intuition while conceptualizing an integrated framework design conditions, including building code requirements for object....

In building information modelling (BIM), the amount of increased and architectural design processes became more complex as projects expand.This is because while a collaboration environment important for smooth communication among experts, this has not been realised unclassified file synchronisation permission settings team members.Therefore, study aims to support cooperation in BIM by synchronising data from different computers rendering project management easier providing model viewer...

The core technology for building a smart space includes the capability to analyse users using various sensors. purpose of this study was propose personalised interactive implementation model driven by fusion digital twin (DT) and artificial intelligence (AI) based on electroencephalogram (EEG) data. This utilised handheld EEG sensor identify user’s emotion information focused connection with space. A single-person households that responds EEG-based biometric designed an can improve current...

Various approaches have been proposed to create a smart space using variety of sensors and instil positive emotions in usercentred space.The core feature building human-centric is the analysis user various sensors.In particular, as biometric used medical applications involving humans are simple fused, research use them everyday environments being actively conducted.In this study, digital twins were monitor EEG data, analyse their situational characteristics, environment.However, compensate...

2016년 경주·포항의 지진 발생과 잦은 여진으로 국내의 발생 가능성이 크게 높아졌다. 지진의 피해는 건축적 측면에서 특정 형태나 구조를 가진 건축물에 대규모 피해가 집중되어 설계 및 시공·관리상 여러 문제점이 노출되었다. 또한, 국내 지진에 대한 연구로는 데이터 분석에 연구를 진행하였지만, 간의 상관관계 분석보다 건축물 피해조사와 발생현황의 집계에 큰 비중을 두고 있는 현황이다. 현재 재해의 통계자료와 실시간 재난 정보를 알 수 것은 ‘국민재난안전포털’의 재난관련 시스템이다. 실제 재난이 나타났을 경우 해당 포털 서비스로 대처방법을 파악할 있지만, 발생한 재난에 얻기 힘들며 재난을 예측할 항목은 없다. 따라서 본 연구에서는, 한국전통건축부재의 형태를 인지하고 유형을 분류할 인공지능 활용모델을 통해 재난대응을 위한 한국전통건축데이터 구축 방안을 제안하고자 한다.Due to earthquakes in Gyeongju and Pohang 2016 frequent after...