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Dynamic Uncertainty:Exploring the Spatial Order of Future Digital Architecture
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作者 Yuxin Zhao 《Journal of Civil Engineering and Architecture》 2024年第10期475-484,共10页
The spatial order of architecture has been significantly impacted by digital architectural design and production,creating a dynamic uncertainty.This study aims to explore digital architecture from the perspective of s... The spatial order of architecture has been significantly impacted by digital architectural design and production,creating a dynamic uncertainty.This study aims to explore digital architecture from the perspective of spatial order,discussing the antidote/poison effect caused by digital technologies in architectural practice and the cultural digital changes in digital architectures.The study selected four digital architecture cases,including the(W)rapper at Los Angeles by Eric Owen Moss,Beijing Daxing International Airport by Zaha Hadid,3D Print Niaokan Bridge by Xu Weiguo,and World Internet Conference Center by Yuan Feng.This study is hypothesising that the future special order of digital architectures will be a dynamic and balanced new spatial order.This new order includes the symbiosis of a human-machine and virtual-real hierarchy;the interactive co-existence between nature,humanity and technology;and the creative multi-immersive sharing of parametric information,built-environment resources and cultural artistic information.The evolution of spatial order of future digital architecture will be discussed in connection with the idea of the metaverse.The value of this work is its ability to inspire a broader examination of the new order of digital architectural space. 展开更多
关键词 Spatial superimposition digital technology’s antidote&poison effect the spatial order of digital architectures alteration of spatial order
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Optimal design study of high order FIR digital filters based on neural network algorithm 被引量:2
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作者 Wang Xiaohua & He YigangCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, P. R. China College of Electrical and Information Engineering, Changsha University of Science and Technology,Changsha 410077, P. R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第2期115-119,130,共6页
An optimal design approach of high order FIR digital filter is developed based on the algorithm of neural networks with cosine basis function . The main idea is to minimize the sum of the square errors between the amp... An optimal design approach of high order FIR digital filter is developed based on the algorithm of neural networks with cosine basis function . The main idea is to minimize the sum of the square errors between the amplitude response of the desired FIR filter and that of the designed by training the weights of neural networks, then obtains the impulse response of FIR digital filter . The convergence theorem of the neural networks algorithm is presented and proved, and the optimal design method is introduced by designing four kinds of FIR digital filters , i.e., low-pass, high-pass, bandpass , and band-stop FIR digital filter. The results of the amplitude responses show that attenuation in stop-bands is more than 60 dB with no ripple and pulse existing in pass-bands, and cutoff frequency of passband and stop-band is easily controlled precisely .The presented optimal design approach of high order FIR digital filter is significantly effective. 展开更多
关键词 high order FIR digital filters amplitude-frequency response neural network convergence theorem optimal design.
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A data-based inverse problem-solving method for predicting structural orderings
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作者 Yiwen LI Jianlong CHEN +2 位作者 Guangyan LIU Zhanli LIU Kai ZHANG 《Frontiers of Structural and Civil Engineering》 2025年第1期22-33,共12页
Inverse problem-solving methods have found applications in various fields,such as structural mechanics,acoustics,and non-destructive testing.However,accurately solving inverse problems becomes challenging when observe... Inverse problem-solving methods have found applications in various fields,such as structural mechanics,acoustics,and non-destructive testing.However,accurately solving inverse problems becomes challenging when observed data are incomplete.Fortunately,advancements in computer science have paved the way for data-based methods,enabling the discovery of nonlinear relationships within diverse data sets.In this paper,a step-by-step completion method of displacement information is introduced and a data-driven approach for predicting structural parameters is proposed.The accuracy of the proposed approach is 23.83%higher than that of the Genetic Algorithm,demonstrating the outstanding accuracy and efficiency of the data-driven approach.This work establishes a framework for solving mechanical inverse problems by leveraging a data-based method,and proposes a promising avenue for extending the application of the data-driven approach to structural health monitoring. 展开更多
关键词 mechanical inverse problem displacement information completion digital structural orderings data-based method genetic algorithm
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