Jove
Visualize
联系我们

相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

29
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
29
Energy and Power Signals01:17

Energy and Power Signals

261
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:
261
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

60
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
60
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

95
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
95
Heating and Cooling Curves02:44

Heating and Cooling Curves

22.6K
When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...
22.6K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.2K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.2K

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

Safety effectiveness of forward collision warning systems in the vehicle fleet: A driving simulation study.

Accident; analysis and prevention·2025
Same author

Analyzing the time to death of pedestrian fatalities: A copula approach.

Journal of safety research·2025
Same author

Examining driver injury severity in motor vehicle crashes: A copula-based approach considering temporal heterogeneity in a developing country context.

Accident; analysis and prevention·2024
Same author

Implementation of a realistic artificial data generator for crash data generation.

Accident; analysis and prevention·2024
Same author

An airport level framework for examining the impact of COVID-19 on airline demand.

Transportation research. Part A, Policy and practice·2022
Same author

A note on estimating safety performance functions with a flexible specification of traffic volume.

Accident; analysis and prevention·2022
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

相关实验视频

Updated: Jun 8, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

5.8K

一个新的基于最大概率的概率行为数据融合算法,用于建模住宅能源消耗.

Tanmoy Bhowmik1, Naveen Chandra Iraganaboina2, Naveen Eluru2

  • 1Department of Civil and Environmental Engineering, Portland State University, Portland, OR, United States of America.

PloS one
|November 4, 2024
PubMed
概括

本研究引入了一种新的概率数据融合方法,以增强住宅能源消耗模型. 通过整合不同的数据集,该方法可以提高模型准确性和对能源使用的预测能力.

更多相关视频

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

相关实验视频

Last Updated: Jun 8, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

5.8K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

科学领域:

  • 能源科学 能源科学
  • 数据科学数据科学数据科学
  • 统计建模 统计建模

背景情况:

  • 住宅能源消耗建模依赖于多种多样的,往往不相干的数据源.
  • 现有的方法很难有效地整合这些多样化的数据集,限制了模型的准确性.
  • 住宅能源消费调查 (RECS) 和国家家庭旅行调查 (NHTS) 提供了有价值但独特的信息.

研究的目的:

  • 提出一种基于最大概率的概率数据融合方法,用于建模住宅能源消耗.
  • 通过整合来自RECS和NHTS的数据来增强能源使用模型.
  • 通过数据融合来证明改进的模型适合性和预测能力.

主要方法:

  • 开发了一个使用最大概率估计的概率数据融合算法.
  • 采用基于属性相似性的灵活差异加权方法来整合数据.
  • 合并了RECS和NHTS数据集,以创建用于能源建模的丰富数据集.
  • 使用合并数据集估计更新的住宅能源使用模型.

主要成果:

  • 与仅使用RECS数据的模型相比,合并的数据集显著改善了模型匹配度.
  • 权重贡献估计强调了综合数据的价值.
  • 验证练习证实了融合算法的增强的解释能力和预测能力.
  • 拟议的方法证明了超出能源消耗范围的适用性,包括移动性和乘车模式分析.

结论:

  • 概率数据融合方法有效地整合了不同的数据源,以改善住宅能源消耗的建模.
  • 该方法提供了增强的解释和预测能力,优于基于单个数据集的模型.
  • 这种聚变技术在分析影响能源模式的各个领域具有广泛的应用.