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Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures

机译:从智能系统到感觉基础设施的空间智能的增量转换

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摘要

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 Istanbul 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.
机译:除了考虑其潜在和限制的新计算技术的可扩展性之外,嵌入式计算的最近应用还可以在城市计算和决策策略范围内进行其可能的用途。本研究通过使用自下而上的研究方法,通过实验探索了伊斯坦布尔的香料集市的传统基础设施的实验探讨了众所周境的众所周境的方法。因此,本研究可以是建筑环境增量转换的规范和规范制作的总体源。因此,参与和政策制定的机构,使用和经济学的关注以及技术潜力和限制被视为生成参数。除了利用传统基础架构进行数据采集和评估外,还检查建筑环境中的智能电网和嵌入式计算。在城市计算范围下,本研究评估了关联学习和预测模型,以及其他感官技术,连接设备和新的计算方法。

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