Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	sigradi2021_44
id	sigradi2021_44
authors	Peng, Xianhui, Cai, Yanxin and Gao, Xiaoni
year	2021
title	Study on the Optimization Method of Intercity Railroad Underground Station Space Performance Based on BP Neural Network
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 339–350
summary	With the development of economy, China is facing the contradiction between urban development and the shortage of urban space resources.This article takes the small and medium-sized underground stations on the Guanhui Intercity Railway and the Changzhutan Intercity Railway as the main research objects of this thesis; Analyze the influencing factors of the space performance of the underground station, and design the BP neural network structure based on this; According to the preparation of relevant technical data, Anylogic is used to simulate the setting of simulation parameters and current station operation, to extract ideal samples, and to build and train the underground station Spatial performance characteristic analysis model.Finally, the spatial performance optimization method of Intercity Railway Underground Station Based on neural network is summarized, the optimization process is sorted out, the numerical optimization results are obtained, and the optimization scheme is proposed to verify the effectiveness of the method.
keywords	Research on the Optimization Method of Intercity Railroad Underground Station Space Performance Based on BP Neural Network
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2021_309
id	caadria2021_309
authors	Gao, Xiaoni, Guo, Xiangmin and Lo, Tiantian
year	2021
title	Digital Infrastructure - A Potential Method for Rural Revitalization through Digitization of Rural Information
doi	https://doi.org/10.52842/conf.caadria.2021.2.699
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 699-708
summary	Rural revitalization is becoming a trend to improve the countrys economy. However, due to its remoteness and the infrastructure is not perfect, the village lacks the ability to attract young labor to some extent, reflecting the isolation of rural information. Thus, constructing rural information on digital infrastructure and breaking the barriers between urban and rural areas is based on a digital village and even intelligent village. This paper will discuss the potential of digitizing rural information, using digital information as a bridge between urban and rural areas, and connecting top-down and bottom-up stakeholders through a network or platform to promote rural cultural cognition and attract investment. The new form of rural development is a digital village that integrates rural information datas virtual interaction. The successful construction and promotion of digital villages will promote the revitalization of rural areas and data-driven development in the future information age.
keywords	digital infrastructure; rural information; digital data; virtual interaction; digitization
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	architectural_intelligence2022_4
id	architectural_intelligence2022_4
authors	Yihui Li, Wen Gao & Borong Lin
year	2022
title	From type to network: a review of knowledge representation methods in architecture intelligence design
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00006-9
source	Architectural Intelligence Journal
summary	With the rise of the next generation of artificial intelligence driven by knowledge and data, the research on knowledge representation in architecture is also receiving widespread attention from the academia. This paper sorts out the evolution of architectural knowledge representation methods in the history of architecture, and summarizes three progressive representation frameworks of their development with type, pattern and network. By searching these three keywords in the Web of Science Core Collection among 4867 publications from 1990 to 2021, the number of publications in the past 5 years raised more than 50%, which show significant research interest in architecture industry in recent years. Among them, the first two are static declarative knowledge representation methods, while the network-based knowledge representation method also includes procedural knowledge representation methods and provides a way for knowledge association. This means the network representation has more advantage in terms of the logical completeness of knowledge representation, and accounts for 67% of the current research on knowledge representation in architecture. In the context of the rapid development of artificial intelligence, this method can realize the construction of architectural knowledge system and greatly improve the work efficiency of the building industry. On the other hand, in the face of carbon-neutral sustainable development scenarios, using knowledge representation, building performance knowledge and design knowledge could be expressed in a unified manner, and a personalized and efficient workflow for performance-oriented scheme design and optimization would be achieved.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

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