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Updated: May 10, 2025

Design and Analysis for Fall Detection System Simplification
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Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

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一个可持续的系统来预测基于机器学习的设备能源消耗

Muneera Altayeb1, Areen Arabiat1

  • 1Department of Communications and Computer Engineering, Faculty of Engineering, Al-Ahliyya Amman University, Amman, Jordan.

Journal of environmental management
|April 19, 2025
PubMed
概括

这项研究利用机器学习 (ML) 增强了能源消耗预测. AdaBoost实现了100%的准确性,在更好的能源管理和可持续发展方面表现优于其他模型.

关键词:
在 AdaBoost 中使用 AdaBoost.后勤回归的逻辑回归朴素的贝叶斯 (Bayes) 是一个天真的人.主要组件分析的主要组件分析.随机梯度的下降 随机梯度的下降

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Using electric appliances for a longer period of time consumes more electrical energy and results in a higher electric bill. The energy produced by the transfer of electrons from one point to another is known as electrical energy. If power is delivered at a constant rate, the electrical energy can be defined as the product of power used by the device for a period of time. The energy unit on electric bills is the kilowatt-hour, where one kilowatt-hour is equivalent to 3.6 × 106 joules.
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Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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Energy Losses in Transformers

In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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