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Integration of smart home/office infrastructure within a permanent building framework is not future-proof.
The proposed analysis technique is illustrated for two building framework examples.
In addition, the social acceptance of green building framework is established based on Wüstenhagen et al. triangular model for renewable energy innovation.
A building framework designed in a non-seismic zone is less robust against progressive collapse than that designed in a seismic zone.
That is, the overall objective for the design of a building framework is to have minimum weight and maximum energy dissipation capacity.
Herein, we present a biological model building framework that maps the treatment of the information from the initial conception of the model, through its experimental validation and finally to its application in model-based optimisation studies.
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The approach is based on developing an additional aspect-oriented layer that encodes a DSML for building framework-based applications, eliminating the need of implementing a code generator.
Many studies have described building frameworks for practical machine learning using Mahout.
The paper concludes with lessons learned from building frameworks in process automation and outlines future directions in using them.
It is concluded the proposed optimization methodology is an effective and efficient application of the capacity-design principle to building frameworks under earthquake loading.
Presented in this paper is a design optimization method for steel building frameworks subjected to seismic loading using a nonlinear response history analysis procedure.
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