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相关概念视频

Movement Joints in Buildings01:27

Movement Joints in Buildings

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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Classification of Systems-I01:26

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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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在支持物联网的智能建筑中占用预测:技术,方法和未来方向

Irfanullah Khan1,2, Ouarda Zedadra3, Antonio Guerrieri1

  • 1ICAR-CNR, Institute for High Performance Computing and Networking, National Research Council of Italy, Via P. Bucci 8/9C, 87036 Rende, Italy.

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概括
此摘要是机器生成的。

智能建筑可以通过使用物联网 (IoT) 传感器来检测和预测居住者的存在来减少能源浪费. 这项技术可以实现高效的能源管理和改进室内环境监测.

关键词:
人工智能的人工智能是人工智能.认知建筑是认知建筑.估计和预测估计和预测.物联网的东西互联网.机器学习是机器学习.占用检测检测器的使用情况.智能建筑物 智能建筑物

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科学领域:

  • 建筑科学 建筑科学
  • 计算机科学 计算机科学
  • 能源系统 能源系统

背景情况:

  • 全球能源消耗的很大一部分发生在建筑物中,由于不高效的设备使用和占用,造成大量浪费.
  • 智能和认知建筑对于通过先进的传感技术优化能源使用至关重要.

研究的目的:

  • 为室内环境监测和占用检测提供最近物联网 (IoT) 进展的全面概述.
  • 批判性地检查各种技术在预测乘客行为方面的优势和局限性.
  • 探索数据处理方法和未来预测技术,用于建筑物占用.

主要方法:

  • 审查最近的物联网 (IoT) 技术用于室内环境监测.
  • 对收集占用数据的感觉方法的分析.
  • 检查数据处理和预测乘客行为的方法.

主要成果:

  • 物联网技术对于收集室内环境数据和确定居住者存在和数量至关重要.
  • 不同的技术为预测乘客行为提供了不同的优势和局限性.
  • 挑战包括优化传感器和雷达的位置,以准确地估计占用率.

结论:

  • 利用物联网用于占用检测和预测是开发减少能源浪费的智能建筑的关键.
  • 未来的方向包括加强数据安全,并通过居住者定位和活动监控促进节能实践.
  • 这项工作调查了最近的感官方法,并审查了建筑物中占用率估计的现有方法.