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相关概念视频

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

799
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
799
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
Nursing Clinical Information System01:27

Nursing Clinical Information System

753
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
753
Multimachine Stability01:25

Multimachine Stability

141
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:
141
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

171
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
171
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

41
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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相关实验视频

Updated: Jun 5, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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Published on: December 9, 2012

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在智能电气金融系统中,基于多目标优化算法的信息管理模型的设计.

Junhui Hu1, Hongxiang Cai2, Shiyong Zhang2

  • 1State Grid Ningbo Electric Power Supply Company, Ningbo, Zhejiang, China.

PeerJ. Computer science
|December 13, 2024
PubMed
概括

这项研究优化了电力系统,将燃料成本,网络损失和电压质量整合起来,使用一种新的微分进化算法. 增强方法改善了智能电网中的资源分配和信息管理.

关键词:
适应性的可变性.约束 限制 限制信息管理模式的信息管理模式.多目标优化多目标优化运营商的动态交叉因素.权力金融系统 权力金融系统

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Last Updated: Jun 5, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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Published on: December 9, 2012

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科学领域:

  • 电气工程 电气工程
  • 运营研究 运营研究
  • 计算机科学 计算机科学

背景情况:

  • 智能电力系统在信息管理方面面临低效,导致资源耗尽.
  • 优化电力系统需要平衡经济,环境和社会目标.

研究的目的:

  • 开发一个多目标优化算法,用于电力系统的综合设计和运行调度.
  • 为了同时优化燃料成本,主动网络损失和电压质量.

主要方法:

  • 开发了一个数学模型,将燃料成本,网络损耗和电压质量目标与约束结合起来.
  • 引入了一个增强的差异进化算法 (DE),具有适应变化和动态交叉因子.
  • 使用自适应网格和循环拥挤度方法来保持人口多样性和帕雷托阵线分布.

主要成果:

  • 改进的DE算法在标准测试函数 (ZDT1,ZDT2,ZDT3,ZDT4) 上显示出强大的收和分布性能.
  • 在ZDT1和ZDT2上的收指数分别为0.000938和0.0034.
  • 在ZDT1,ZDT2,ZDT3和ZDT4上的分布指数分别为0.0018,0.0026,0.0027和0.0009.

结论:

  • 拟议的多目标优化方法有效地提高了电力财务信息管理.
  • 智能处理电力系统信息可以改善物质和财务资源的分配.