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Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures
Building Research & Information ( IF 3.7 ) Pub Date : 2020-07-24 , DOI: 10.1080/09613218.2020.1794778
Serdar Erişen 1
Affiliation  

ABSTRACT In addition to the scalability of new computation technologies considering their potentials and limitations, recent applications of embedded computation ensure its possible uses in the scope of urban computing and policymaking strategies. This study examines methods of crowdsourcing with the aim of incremental transformation of the built environment through the experimental exploration of the traditional infrastructure of the Spice Bazaar in İstanbul using a bottom-up research approach. Thus, this study can be an overarching source of specifications and policymaking for the incremental transformation of the built environment. Accordingly, the agencies of participation and policymaking, the concern of usage and economics as well as technological potentials and limitations are considered as generative parameters. Smart grids and embedded computation in built environments are examined in addition to the utilization of traditional infrastructures for data acquisition and assessment. Under the scope of urban computing, this study evaluates associative learning and prediction models, as well as other sensorial technologies, connected devices, and new methods of computation.

中文翻译:

空间智能从智能系统到传感基础设施的增量转换

摘要 除了考虑到其潜力和局限性的新计算技术的可扩展性外,嵌入式计算的最新应用确保其在城市计算和政策制定策略范围内的可能用途。本研究采用自下而上的研究方法,通过对伊斯坦布尔香料集市传统基础设施的实验探索,研究众包方法,目的是逐步改造建筑环境。因此,这项研究可以成为建筑环境渐进式转型的规范和政策制定的首要来源。因此,参与和决策机构、对使用和经济的关注以及技术潜力和限制被视为生成参数。除了利用传统基础设施进行数据采集和评估外,还研究了建筑环境中的智能电网和嵌入式计算。在城市计算的范围内,本研究评估了关联学习和预测模型,以及其他传感技术、连接设备和新的计算方法。
更新日期:2020-07-24
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