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相关概念视频

Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

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Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
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Conservation of Energy: Application01:12

Conservation of Energy: Application

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When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
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Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

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Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
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Energy Budgets00:51

Energy Budgets

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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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Energy Losses in Transformers01:21

Energy Losses in Transformers

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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.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
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Multimachine Stability01:25

Multimachine Stability

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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:
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相关实验视频

Updated: Jun 11, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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混合云环境中的高效能源消耗使用自适应回溯虚拟机整合.

S Manikandan1, E Elakiya2, K C Rajheshwari3

  • 1Department of Information Technology, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India. profmaninvp@gmail.com.

Scientific reports
|October 1, 2024
PubMed
概括

本研究介绍了虚拟机 (VM) 整合的自适应回溯方法,在混合云环境中显著降低了能源消耗. 新方法实现了95%的准确性,同时降低了高达32%的能源消耗.

关键词:
准确度 准确度 准确度 准确度 准确度追溯回溯 追溯回溯 追溯回溯能源效率 能源效率是指能源的使用效率.混合云是一种混合云.虚拟机整合 虚拟机整合

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科学领域:

  • 计算机科学 计算机科学
  • 云计算 云计算 云计算 云计算
  • 能源效率 能源效率 能源效率

背景情况:

  • 虚拟化可以通过虚拟机 (VM) 实现资源共享,但面临着诸如高需求,基础设施问题和服务级别协议 (SLA) 违规等挑战.
  • 现有的VM整合方法往往会增加能源消耗和开销,需要更高效的解决方案.

研究的目的:

  • 为VM整合提出适应性回溯方法,以尽量减少能源消耗.
  • 优化资源利用,降低混合云环境中的运营成本.

主要方法:

  • 实现了自适应回溯算法,特别是自适应登和追逐,用于VM整合.
  • 在使用Matlab.com的混合云环境中模拟了拟议的方法.
  • 基于能源消耗和精度的评估性能.

主要成果:

  • 拟议的自适应回溯方法实现了VM整合,与现有方法相比,能源消耗明显降低.
  • 该系统的准确度指数为95%.
  • 对于多个VM整合,能源消耗减少了28%,30%,32%.

结论:

  • 适应式回溯方法为VM整合提供了一种有效的方法,用于在混合云中提高能源效率.
  • 拟议的系统为优化资源利用和减少能源足迹提供了可扩展和准确的解决方案.