Switched-line network with digital phase shifter

Khamees, Hussein Thary; Al-Ghrairi, Assad H. Thary; Mohammed, Ali Abdulwahhab

doi:10.1515/ijnsns-2020-0194

Cited by 5 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The preprocessing phases in this paper consist of two stages that seek to enhance the visual appearance of the image [18]. The first stage, which is image transform to grey level by transforming the three components of the color image RGB bands into one band, will be noted as grey as shown in (1) [19], [20]:…”

Section: Preprocessingmentioning

confidence: 99%

Face detection and recognition with 180 degree rotation based on principal component analysis algorithm

Al-Ghrairi

Mohammed²,

Sameen

2022

IJ-AI

View full text Add to dashboard Cite

<p>This paper presents a simple and fast recognition system with various facial expressions, poses, and rotation. The proposed system performed in two phases. Face detection is the first phase. The front and profile face detected cropped face area from the image by Viola-Jones algorithm and the right side face is detected from the image by taking the flip of the profile image. Principal component analysis (eigenfaces) algorithm is used in the recognition phase and depends on created database models used to be compared with test face image input to the recognition procedure. For training and testing the system, two sets of the image of the file exchange interface (FEI) database have been used to identify the person. The experimental result shows the effectiveness and robustness of the method used for the detection of the face and achieves high accuracy of 96%, which improves the recognition performance with low execution time. Furthermore, the accuracy of 35 trained images for recognition is 97.143% with average time execution which is (0.323657s). Also, the accuracy of 15 tested images for recognition is 93.315% with average time execution which is (0.3348s) which indicates a good and strong success and accuracy method for facial recognition.</p>

show abstract

Section: Preprocessingmentioning

confidence: 99%

Face detection and recognition with 180 degree rotation based on principal component analysis algorithm

Al-Ghrairi

Mohammed²,

Sameen

2022

IJ-AI

View full text Add to dashboard Cite

show abstract

“…Wherever  it states to the Gaussian part of source size but then F , were signifying to x and y guiding principle of the focal length fixed-parameter [22]. Input on the source field of Eq.…”

Section: Broadcasting a Gaussian Vortex Beam In An Atmospheric Stormmentioning

confidence: 99%

Propagation of Vortex Gaussian Beam in Atmospheric Blustery and Evaluation of the BER for Laser gradient Launching

Khamees

Sameen

2022

Preprint

Self Cite

View full text Add to dashboard Cite

In this paper, its enhancement of the Virtual digital message classifications, appreciation of its informal user interface design language, and outstanding information conception abilities. Unity of the most common reproduction responsibilities in digital communications is to assess the bit error rate (BER) of dial-up connection. The Formulation of the scintillation index obsessed on BER of Vortex Gaussian beam in a blustery atmosphere and originate by exploitation of the Huygens Fresnel Process to usage this structure and assess the normal bit error rate (BER), therefore it applies the ITU-R Method to find the Kolmogorov of structure constant parameter and Random Phase Screen Method. The scintillation index leaders of a multimode of Vortex Gaussian beam smooth, and used topological charge, by used zenith angle is started from zero to nighty degree. Furthermore, the typical signal-to-noise ratio (SNR) which is related to the scintillation index as against the BER is calculated via the log-normal method of the beam order. and it’s circulated in gradient path, which is presented for some parameters like it, source sizes, focal lengths and used unique wavelength, λ = 1.35μm. According to the one desired wavelength distribution is dealt with theoretically, the outcomes of BER Guesstimate were starting to the increased value of source size, the structure is better-quality and scintillation index, BER and the some of the factors are decreased the value of BER and enhanced the optical communication system.

show abstract

“…In atmospheric turbulence, the physical appearance of the beam propagation is affected by the turbulent layer. The diffraction optics, computer-synthesized, holograms beams can be simulated and analyzed, like the Hermite-Gaussian methods [16], also investigated in [17], these steps are improved [18]. The beam order of the Lorentzian beam as a foundation is produced and updated depending on their information.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of scintillation index in atmospheric turbulent for new super Lorentz vortex Gaussian beam

Khamees

Hussein²,

Abdulkhaleq³

2023

TELKOMNIKA

View full text Add to dashboard Cite

Super Lorentz vortex Gaussian beam (SLVGB) is propagated via the turbulent atmosphere parameters. The benefit key of the SLVGB wave model is that the unlimited bandwidth wave and a spherical wave are involved. Additionally, Huygens Fresnel integral was used for schoolwork to study the propagation of SLVGB in a slant direction via a moderate turbulent medium. On the other hand, applying the crude international telecommunication union (ITU-R) model possible. Moreover, the Kolmogorov turbulent power spectrum model is applied, and the source field is dispersed by the zenith angle to the receiver plane. Additionally, examine the contour of the source field and the SLVGB intensity. To investigate various parameters such as source size, mode, scintillation index, topological charge, and others that are associated with the beam of super Lorentz vortex Gaussian are entirely understood, the outcomes were examined, and obtained other references to build the beam of slant path propagation in turbulent; the form constants are especially in comparison and matching. Our graphical findings indicate that the parameters happened randomly in the scintillation index and intensity of the SLVGB, resulting in a novel beam technical configuration. To summarize, this article is advantageous for remote sensing and uses an optical communications system and laser applications.

show abstract

Switched-line network with digital phase shifter

Cited by 5 publications

References 13 publications

Face detection and recognition with 180 degree rotation based on principal component analysis algorithm

Face detection and recognition with 180 degree rotation based on principal component analysis algorithm

Propagation of Vortex Gaussian Beam in Atmospheric Blustery and Evaluation of the BER for Laser gradient Launching

An evaluation of scintillation index in atmospheric turbulent for new super Lorentz vortex Gaussian beam

Contact Info

Product

Resources

About