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

Aliasing01:18

Aliasing

122
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
122
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

933
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
933
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

180
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
180
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

611
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
611
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
State Space Representation01:27

State Space Representation

169
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
169

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

Perspective on the Capacity of the Rashomon Effect in Multivariate Data Analysis.

Applied spectroscopy·2025
Same author

Local Adaptive Fusion Regression (LAFR) for Local Linear Multivariate Calibration: Application to Large Datasets.

Applied spectroscopy·2025
Same author

Local Modeling by Adapting Source Calibration Models to Analyte Shifted Target Domain Samples Without Reference Values.

Applied spectroscopy·2024
Same author

Physicochemical Responsive Integrated Similarity Measure (PRISM) for a Comprehensive Quantitative Perspective of Sample Similarity Dynamically Assessed with NIR Spectra.

Analytical chemistry·2023
Same author

Calibration Model Updating to Novel Sample and Measurement Conditions without Reference Values.

Analytical chemistry·2021
Same author

Reliable Model Selection without Reference Values by Utilizing Model Diversity with Prediction Similarity.

Journal of chemical information and modeling·2021

相关实验视频

Updated: Jun 11, 2025

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.2K

用沉浸式分析重新定义光谱数据分析:探索域移动模型空间以获得最佳模型选择.

Jordan M J Peper1, John H Kalivas1

  • 1Department of Chemistry, Idaho State University, Pocatello, Idaho, USA.

Applied spectroscopy
|September 28, 2024
PubMed
概括

沉浸式虚拟现实 (IVR) 通过将人类专业知识整合到机器学习模型中来增强化学测量分析. 这种方法可以提高光谱数据分析和预测准确性,用于医学诊断等关键应用.

科学领域:

  • 化学测量 化学测量 化学测量
  • 机器学习 机器学习
  • 数据分析 数据分析
  • 频谱数据分析 频谱数据分析
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 化学测量中的自主机器学习通常缺乏对复杂或安全关键分析的人类专家洞察力,例如基于光谱的医疗决策.
  • 自主方法的准确性严重依赖于培训数据;培训数据中不存在的模式导致预测不佳.
  • 人类的专家判断对于解释复杂的数据和在具有挑战性的分析场景中确保可靠的结果至关重要.

研究的目的:

  • 引入和评估一种沉浸式分析方法,使用沉浸式虚拟现实 (IVR) 作为用于光谱数据分析的混合人机接口.
  • 研究IVR与实时模型选择算法的集成,用于化学测量中的自适应模型更新.
  • 展示IVR在提高预测准确性和减少频谱数据分析错误方面的潜力,特别是在转移目标领域.

主要方法:

  • 开发和应用一个集成的IVR系统,用于实时的模型选择和更新化学分析.
  • 使用近红外 (NIR) 光谱数据来测试IVR引导模型选择与自主方法的性能.
  • 使用IVR选择的模型与使用既定自主方法选择的模型之间的分析剂预测错误的比较.

主要成果:

关键词:
在 IVR 里,你会看到 IVR.沉浸式的分析分析.数据可视化数据可视化沉浸式虚拟现实沉浸式虚拟现实模型选择,模型选择.

更多相关视频

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.4K
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.4K

相关实验视频

Last Updated: Jun 11, 2025

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.2K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.4K
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.4K
  • 使用基于IVR的方法选择的模型显示,与使用自主方法选择的模型相比,分析物的预测误差减少.
  • 该研究成功地将IVR集成为光谱数据的沉浸式分析工具,展示了其对模式识别和值可视化的能力.
  • 结果证实了IVR的可行性,用于增强人类对光谱数据的分析能力,包括分类任务.
  • 结论:

    • 沉浸式虚拟现实 (IVR) 为化学测量中的高级光谱数据分析提供了可行的和有效的人机接口.
    • 通过IVR将人类专家判断纳入机器学习工作流程,可以显著提高分析性能并减少预测错误.
    • 这种方法对安全关键的应用有前途,例如非侵入性医学诊断,通过利用人类直觉和计算能力来实现这一目标.