Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

336
Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
336
Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

4.6K
Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
4.6K
Lossless Lines01:23

Lossless Lines

533
In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
533
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

576
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.
576
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

398
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
398
Line Loss01:10

Line Loss

483
The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
483

You might also read

Related Articles

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

Sort by
Same author

Self-mixing in quantum cascade lasers for mid-infrared gas sensing: modeling, simulations, and experiments.

Optics express·2026
Same author

Self-mixing detection of methane and carbon dioxide using mid-infrared quantum cascade lasers.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Optimal performance of simple low-cost optical physical unclonable functions resilient to machine learning attacks : <sup>1</sup>Eulambia advanced technologies Ltd., Athens, Greece, <sup>2</sup>Department of informatics & Telecommunications, National and kapodistrian university of Athens, Athens, Greece.

Scientific reports·2025
Same author

Sparse polynomial chaos algorithm with a variance-adaptive design domain for the uncertainty quantification and optimization of grating structures.

Applied optics·2025
Same author

Real-Time Diagnostics on a QKD Link via QBER Time-Series Analysis.

Entropy (Basel, Switzerland)·2024
Same author

Reservoir computing based on transverse modes in a single optical waveguide.

Optics letters·2019

Related Experiment Video

Updated: Jan 10, 2026

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.8K

Power losses in diffuse ultraviolet optical communications channels.

Nikos Raptis, Evangelos Pikasis, Dimitris Syvridis

    Optics Letters
    |September 16, 2016
    PubMed
    Summary

    This study quantifies optical losses in non-line-of-sight free-space optical communications using Monte Carlo simulations. Results align with experimental data, aiding UV communication system design.

    Area of Science:

    • Optical Communications
    • Atmospheric Optics
    • Computational Physics

    Background:

    • Non-line-of-sight free-space optical communication systems are susceptible to significant optical losses.
    • Understanding these losses is crucial for reliable system performance, especially in atmospheric conditions.

    Purpose of the Study:

    • To numerically calculate optical losses in non-line-of-sight free-space optical communication systems.
    • To validate numerical models by comparing with experimental data.
    • To characterize optical communication channel loss properties.

    Main Methods:

    • Monte Carlo simulation technique was employed for numerical loss calculation.
    • Scattering effects were incorporated into the simulations.
    • Experimental data was collected using UV-LEDs and photomultiplier tubes at various distances and angles.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.3K
    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    11.3K

    Related Experiment Videos

    Last Updated: Jan 10, 2026

    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
    12:19

    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

    Published on: April 4, 2017

    8.8K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.3K
    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    11.3K

    Main Results:

    • Numerical calculations of optical losses were performed.
    • Simulated results were compared with experimental measurements at 265 nm.
    • Channel characterization involved extensive measurements under diverse atmospheric conditions.

    Conclusions:

    • The Monte Carlo simulation technique provides accurate predictions of optical losses.
    • Experimental validation confirms the efficacy of the numerical approach.
    • The study contributes to a better understanding of optical loss properties in UV-based free-space optical communication systems.