Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.5K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
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...
53
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

238
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
238
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

645
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
645
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

491
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
491
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Enhanced Molecular Packing of a Conjugated Polymer with High Organic Thermoelectric Power Factor.

ACS applied materials & interfaces·2016
Same author

Effects of Three Types of Inactivation Agents on the Antibody Response and Immune Protection of Inactivated IHNV Vaccine in Rainbow Trout.

Viral immunology·2016
Same author

An Integrated Model of RAF Inhibitor Action Predicts Inhibitor Activity against Oncogenic BRAF Signaling.

Cancer cell·2016
Same author

Ischemic post-conditioning attenuates acute lung injury induced by intestinal ischemia-reperfusion in mice: role of Nrf2.

Laboratory investigation; a journal of technical methods and pathology·2016
Same author

Liquid-solid joining of bulk metallic glasses.

Scientific reports·2016
Same author

An Autoinhibited Dimeric Form of BAX Regulates the BAX Activation Pathway.

Molecular cell·2016
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jul 1, 2025

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

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

Published on: December 9, 2012

13.0K

MBB-MOGWO:修改的基于博尔兹曼的多目标灰狼优化器

Jing Liu1, Zhentian Liu1, Yang Wu1

  • 1College of Computer Science, Inner Mongolia University, Hohhot 010021, China.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括
此摘要是机器生成的。

一个新的基于波兹曼的多目标灰狼优化算法 (MBB-MOGWO) 改进了合速度,避免了局部优化. 它增强了物联网 (IoT) 中的网络服务组成,以更好地安排传感器资源.

关键词:
博尔兹曼的选择选择.多目的灰狼优化器 多目的灰狼优化器优化算法优化算法网页服务的组成组成.

更多相关视频

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.5K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.1K

相关实验视频

Last Updated: Jul 1, 2025

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

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

Published on: December 9, 2012

13.0K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.5K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.1K

科学领域:

  • 计算智能是一种计算智能.
  • 优化算法 优化算法
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.

背景情况:

  • 多目标优化旨在为冲突目标找到最佳解决方案.
  • 现有的多目标灰狼优化 (MOGWO) 面临着局部优化和缓慢融合等挑战.
  • 物联网中的Web服务构成对于传感器资源调度至关重要,但复杂.

研究的目的:

  • 引入一个基于波兹曼的修改MOGWO (MBB-MOGWO) 算法来克服MOGWO的局限性.
  • 评估MBB-MOGWO在多目标测试功能和现实世界物联网场景中的表现.
  • 在物联网环境中改进网络服务组成和传感器资源调度.

主要方法:

  • 开发和实施修改的博尔兹曼基MOGWO (MBB-MOGWO) 算法.
  • 使用标准多目标测试函数进行性能评估.
  • 将MBB-MOGWO应用于使用QWS数据集构建Web服务中的多目标问题 (MOP).

主要成果:

  • 与标准MOGWO相比,MBB-MOGWO表现出更快的收率和较低的局部最佳感受度.
  • 该算法在Web服务组合任务中实现了卓越的解决方案精度.
  • 基于MBB-MOGWO的解决方案在物联网应用中显示出更高的适应性和更高的服务质量.

结论:

  • MBB-MOGWO有效地解决了传统MOGWO的局限性,提供了改进的优化功能.
  • 拟议的算法为物联网中复杂的多目标问题提供了强大的解决方案,特别是在网络服务组成方面.
  • 通过优化网络服务组成,MBB-MOGWO显著提高了传感器资源调度,从而提高了整体服务质量.