This paper provides an overview of South Korea’s 20-year journey in adopting building information modeling(BIM) and future direction. It first discusses the six phases of BIM adoption in South Korea, starting from th...This paper provides an overview of South Korea’s 20-year journey in adopting building information modeling(BIM) and future direction. It first discusses the six phases of BIM adoption in South Korea, starting from the use of BIM as a marketing tool to its current intelligent BIM phase. The government’s support for BIM-related research and development projects is also highlighted, with a focus on the artificail intelligence (AI)-based architectural design automation project. As the future direction, it explores the integration of AI with BIM in both local and global contexts. The paper presents AIpowered architectural design methods, including AI-powered early architectural design generation and architectural detailing.Compared to AI-based early architectural design generation, architectural detailing is an unexplored research topic. This paper introduces two AI-and BIM-based architectural detailing methods, being developed at Yonsei University:namely,BIM library transplant and Natural language-based Architectural Detailing through Interaction with AI (NADIA). These methods demonstrate how AI-enhanced BIM can enable architects to interactively develop building details using a language model as a conversational AI and a knowledge base, and a BIM authoring tool as a design platform, in the near future.展开更多
The decomposition of the environmental degradation cost in Benin Republic revealed that the agricultural activities are responsible of the greatest amount of this cost （76.1%）. This situation is strengthened by the ...The decomposition of the environmental degradation cost in Benin Republic revealed that the agricultural activities are responsible of the greatest amount of this cost （76.1%）. This situation is strengthened by the fallow periods shortening （and even suppression） in the southern Benin in general, because of demographic pressure. The promotion of some improved fallow technologies （IFT） was then launched some decades ago. This study focused on two IFT of high agro-ecological value, Mucuna pruriens and Acacia auriculiformis, in order to determine the influence of the farmers＇ wellbeing state on their farming systems in general, and on the adoption level of these two technologies in Godohou village （southern Benin）. The data analysis revealed that： There was no significant difference between the farmers＇ amount knowing the agronomic and ecological value of Mucuna pruriens and Acacia auriculiformis from a level of prosperity to another; Three wealth levels were distinguished： The poor class （Ayatonon class）, the less poor class （Metchivo-Houedeka class） and the non poor class （Hotonon class） which represented respectively 35.4%, 55.9% and 8.7%;The adoption rate of Mucuna and Acacia fallow was globally low in Godohou village （25.7%）, but this adoption rate was lesser in the poorest class than in all other classes. This trend was confirmed if we integrate a global agro-ecological analysis of the farming systems practiced by the farmers.展开更多
基金funded by the Civil Engineering Graphics Branch of China Graphicsthe Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land,Infrastructure and Transport (Grant RS-2021-KA163269)。
文摘This paper provides an overview of South Korea’s 20-year journey in adopting building information modeling(BIM) and future direction. It first discusses the six phases of BIM adoption in South Korea, starting from the use of BIM as a marketing tool to its current intelligent BIM phase. The government’s support for BIM-related research and development projects is also highlighted, with a focus on the artificail intelligence (AI)-based architectural design automation project. As the future direction, it explores the integration of AI with BIM in both local and global contexts. The paper presents AIpowered architectural design methods, including AI-powered early architectural design generation and architectural detailing.Compared to AI-based early architectural design generation, architectural detailing is an unexplored research topic. This paper introduces two AI-and BIM-based architectural detailing methods, being developed at Yonsei University:namely,BIM library transplant and Natural language-based Architectural Detailing through Interaction with AI (NADIA). These methods demonstrate how AI-enhanced BIM can enable architects to interactively develop building details using a language model as a conversational AI and a knowledge base, and a BIM authoring tool as a design platform, in the near future.
文摘The decomposition of the environmental degradation cost in Benin Republic revealed that the agricultural activities are responsible of the greatest amount of this cost （76.1%）. This situation is strengthened by the fallow periods shortening （and even suppression） in the southern Benin in general, because of demographic pressure. The promotion of some improved fallow technologies （IFT） was then launched some decades ago. This study focused on two IFT of high agro-ecological value, Mucuna pruriens and Acacia auriculiformis, in order to determine the influence of the farmers＇ wellbeing state on their farming systems in general, and on the adoption level of these two technologies in Godohou village （southern Benin）. The data analysis revealed that： There was no significant difference between the farmers＇ amount knowing the agronomic and ecological value of Mucuna pruriens and Acacia auriculiformis from a level of prosperity to another; Three wealth levels were distinguished： The poor class （Ayatonon class）, the less poor class （Metchivo-Houedeka class） and the non poor class （Hotonon class） which represented respectively 35.4%, 55.9% and 8.7%;The adoption rate of Mucuna and Acacia fallow was globally low in Godohou village （25.7%）, but this adoption rate was lesser in the poorest class than in all other classes. This trend was confirmed if we integrate a global agro-ecological analysis of the farming systems practiced by the farmers.
