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相关概念视频

Machines01:19

Machines

345
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
345
Energy and Power Signals01:17

Energy and Power Signals

620
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
620
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

150
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
150
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

879
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.
However, in reality, no machine can be truly ideal, and all of them experience some...
879
Multimachine Stability01:25

Multimachine Stability

234
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
234
Machines: Problem Solving II01:30

Machines: Problem Solving II

376
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
376

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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对于安全和节能物联网网络的机器学习模型的跨层分析.

Rashid Mustafa1, Nurul I Sarkar1, Mahsa Mohaghegh1

  • 1Department of Computer and Information Sciences, Auckland University of Technology, Auckland 1010, New Zealand.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

本研究介绍了一种新的跨层物联网 (IoT) 架构,使用机器学习 (ML) 和轻量级加密. 该系统可提高高达95%的安全性,并将物联网设备的功耗降低30%.

关键词:
跨层分析的跨层分析节能网络是节能节能的网络.机器学习模型机器学习模型安全的安全物联网物联网.模拟模拟是指一个模拟模拟器.

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 网络安全 网络安全

背景情况:

  • 物联网 (IoT) 的广泛采用带来了重大的安全和能源效率挑战,特别是对于资源有限的设备.
  • 现有的物联网安全解决方案往往难以平衡强大的保护与最低功耗.

研究的目的:

  • 提出一种新的跨层物联网架构,集成机器学习 (ML) 模型和轻量级加密.
  • 为了提高安全性,改进身份验证,并在大规模物联网部署中优化能源效率.

主要方法:

  • 实现一个跨层物联网架构,包括基于角色的访问控制 (RBAC) 与能源意识的政策.
  • 整合层特定的ML模型 (用于异常检测的LSTM,用于验证的决策树) 和自适应的Speck加密.
  • 利用卷积神经网络 (CNN) 提高物联网安全性和能源效率.

主要成果:

  • 减少了高达32%的错误阳性.
  • 防止未经授权的访问尝试,有效率高达95%.
  • 与AES相比,使用轻量级的Speck加密实现了30%的功耗降低.

结论:

  • 拟议的跨层物联网架构有效地将机器学习驱动的安全与节能运营相协调.
  • 该系统在安全性和实际物联网应用的功耗方面取得了显著的改进.
  • 这种方法为确保智慧城市,家庭和学校的安全提供了可行的解决方案.