Search research articles

Related Concept Videos

Gauss's Law: Cylindrical Symmetry

Gauss's Law: Cylindrical Symmetry

A charge distribution has cylindrical symmetry if the charge density depends only upon the distance from the axis of the cylinder and does not vary along the axis or with the direction about the axis. In other words, if a system varies if it is rotated around the axis or shifted along the axis, it does not have cylindrical symmetry. In real systems, we do not have infinite cylinders; however, if the cylindrical object is considerably longer than the radius from it that we are interested in,...

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same journal

RETRACTED: Ndaguba et al. Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience. <i>Sensors</i> 2023, <i>23</i>, 6938.

Sensors (Basel, Switzerland)·2026

Same journal

Correction: Ma et al. A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. <i>2026</i>, <i>26</i>, 3645.

Sensors (Basel, Switzerland)·2026

Same journal

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026

Same journal

Correction: Tu et al. Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography. <i>Sensors</i> 2024, <i>24</i>, 3097.

Sensors (Basel, Switzerland)·2026

Same journal

Real-Time Detection System for Road Roughness Based on Ultrasonic Technology.

Sensors (Basel, Switzerland)·2026

Same journal

FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric.

Sensors (Basel, Switzerland)·2026

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Mar 29, 2026

Measuring the Behavioral Effects of Intraocular Scatter

Measuring the Behavioral Effects of Intraocular Scatter

Published on: February 18, 2021

Multi-Sensor Measurement of Cylindrical Illuminance.

Michal Kozlok¹, Marek Balsky¹, Petr Zak¹

¹Department of Electrical Power Engineering, Faculty of Electrical Engineering, Czech Technical University, 166 27 Prague, Czech Republic.

Sensors (Basel, Switzerland)

|March 28, 2026

Summary

This study introduces a multi-sensor prototype for advanced lighting analysis. It accurately measures horizontal and cylindrical illuminance, enhancing qualitative lighting evaluation and practical photometry.

Keywords:

illuminance measurements illuminance solid mean cylindrical illuminance modelling factor spatial illuminance characteristics

More Related Videos

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Published on: October 27, 2017

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Related Experiment Videos

Last Updated: Mar 29, 2026

Measuring the Behavioral Effects of Intraocular Scatter

Measuring the Behavioral Effects of Intraocular Scatter

Published on: February 18, 2021

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Published on: October 27, 2017

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Area of Science:

Lighting engineering
Photometry
Architectural science

Background:

Spatial light field metrics like cylindrical illuminance are crucial for qualitative lighting evaluation but are underutilized in practice compared to horizontal illuminance.
A gap exists between theoretical spatial metrics and practical photometric measurements.

Purpose of the Study:

To develop and present a multi-sensor prototype for simultaneous measurement of horizontal illuminance and approximation of mean cylindrical illuminance.
To bridge the gap between theoretical spatial metrics and practical photometry.

Main Methods:

A multi-sensor prototype was developed using a flexible PCB with sensors for vertical illuminances and an inertial/magnetic measurement unit for orientation.
The prototype measures horizontal illuminance (Eh) and approximates mean cylindrical illuminance (Ez) from distributed vertical illuminances.
Enables direct calculation of the modelling factor (EN 12 464) and visualization of directional light distribution.

Main Results:

The prototype accurately approximates mean cylindrical illuminance while preserving directional light distribution data.
The illuminance solid can be decomposed into vector and symmetric components.
The multi-sensor approach reduces spatial error compared to conventional methods, providing richer data for lighting analysis.

Conclusions:

Multi-sensor systems can effectively bridge the gap between theoretical spatial metrics and practical photometry.
The developed prototype supports improved modeling evaluation and integration of qualitative lighting parameters into routine workflows.
This technology enhances the practical application of advanced lighting metrics in professional settings.