A Study of Some Neutrosophic Algebraic Games and Their Winning Strategies

Mehmet; Rozina

doi:https://doi.org/10.54216/GJMSA.020204

Fusion: Practice and Applications | 2023

Speech Emotions Recognition for Online Education

The severe circumstances caused by COVID-19 make online education the best replacement for regular face-to-face education for continuing the education process. One year ago, and till now most schools adopted online learning during this pandemic shutdown, which indicates the applicability of this teaching methodology. However, the efficiency of this method needs to be improved to guarantee its effectiveness. Although face-to-face teaching has many advantages over online education, there is a chance to promote online learning by utilizing the recent techniques of artificial intelligence. From this perspective, we propose a framework to detect and recognize emotions in the speech of students during virtual classes to keep instructors updated with the feelings of students so and can behave accordingly. The approach of detecting emotions from the speech is much more helpful for cases when turning on the cameras at the student's side could be embarrassing. This case is very common, especially for schools in Middle East countries. The proposed framework can also be applied to other similar scenarios such as online meetings.

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Abdelaziz A. Abdelhamid mail

link https://doi.org/10.54216/FPA.100104

Volume & Issue

Vol. Volume 10 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2023

Watermarking System for Medical Images Using Optimization Algorithm

One of the main methods used to provide security for medical records when exchanging these records through open networks is digital watermarking. In order to preserve the privacy of patients, this system also requires a means to secure images. In this paper, a watermarking based on discrete wavelet transform (DWT), and discrete and discrete cosine transform (DCT) in cascade provides more robustness and security. DCT divides the image into low and high-frequency regions, watermarking message can be embedded into low-frequency regions to prevent distortion of the original image. DWT splits the image into four frequency coefficients; horizontal, vertical, approximation, and detailed frequency component. The judgment factors for the strength of the watermark system are robustness, invisibility, and embedded message capacity. Invisibility means transparency of the watermark logo or data in the original or host image without any distortion. Capacity data payload means the size of the embedded image which is related to the amount of data or logo size that will be embedded in the host image. Robustness refers to the capability of the watermark to stand with the host image operations. In this paper, we propose an optimizer to trade-off between robustness, invisibility, and message capacity. Three metrics were employed to assess the results achieved by the proposed approach, namely, Peak Signal-to-Noise Ratio (PSNR), Normalized Cross Correlation (NCC), and Image Fidelity (IF). The achieved results confirmed the effectiveness and superiority of the proposed approach for real-world digital watermarking applications.

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Mohamed Saber mail -

El-Sayed M. El-Kenawy mail -

Abdelhameed Ibrahim mail -

Marwa M. Eid mail

link https://doi.org/10.54216/FPA.100105

Volume & Issue

Vol. Volume 10 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

Redesign of a drone (UAV) to obtain high flight autonomy, used in the analysis of Pitahaya crops based on neutrosophic control

The use of "drones" stands out in precision agriculture for the analysis of vegetation and soil indices, the present work contemplates a redesign, construction and implementation of a "drone" using computer tools based on software engineering and technologies of info-communications, which allows optimizing one of the existing platforms in the drone market (SKYWALKER (X8)) for the evaluation of vegetation indices, as estimators of changes in different types of vegetation cover in Pitahaya crops in the province del Guayas, also carry out precise monitoring of large extensions of crops, minimizing human presence, controlling soil conditions through special systems, such as hydration, temperature or plant growth rate, chlorophyll level, among others, and the appearance of plagues that could affect the Pitahaya crops located prematurely, as well as the bases for a neutrosophic control system in designing platforms by using simulators. For the neutrosophic control, neutrosophic uninorms were used for the aggregation of the measurement results by regions.  

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Pedro M. García mail -

Gilberto F. Castro mail -

Inelda A. Martillo mail -

Maikel Y. L. Vázquez mail

link https://doi.org/10.54216/IJNS.190306

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2022

Square root Diophantine neutrosophic normal interval-valued sets and their aggregated operators in application to multiple attribute decision making

We discuss innovative square root Diophantine neutrosophic normal interval-valued set (SRDioNSNIVS)- based approaches to multiple attribute decision-making (MADM) problems. Square root neutrosophic sets, interval-valued Diophantine neutrosophic sets and neutrosophic normal interval-valued (NSNIV) sets are both extensions of square root Diophantine neutrosophic sets. In this section, we will look over several aggregating operations and how those interpretations have evolved over time. The article is focused on a novel idea known as square root NSNIV weighted averaging (SRDioNSNIVWA), square root NSNIV weighted geometric (SRDioNSNIVWG), generalized square root NSNIV weighted averaging (GSRDioNSNIVWA), and generalized square root NSNIV weighted geometric (GSRDioNSNIVWG). In order to solve MADM problems, we also begin an algorithm based on the aforementioned operators. The use of the euclidean and hamming distances is described, and examples from real-world situations are given. The main characteristics of these sets under various algebraic operations will be discussed in this communication. They are more practical and straightforward, and the ideal choice may be determined quickly. As a result, the defined models are more accurate and closely tied to Φ. In order to show the reliability and usefulness of the models under examination, we also compare a few of the proposed and current models. The study’s results are also fascinating and intriguing.

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M. Palanikumar mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.190307

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2022

MCGDM based on VIKOR and TOPSIS proposes neutrsophic Fermatean fuzzy soft with aggregation operators

In this study, we presented a new generalization of the Fermatean interval valued fuzzy soft set (FIVFSS) and the neutrosophic interval valued soft set called the neutrsophic Fermatean interval valued soft set (NSFIVSS). The NSFIVSS decision matrix aggregated operations are the topic of our current discussion. Strong points of view for the generalization of the interval valued fuzzy soft set (IVFSS) known as multi-criteria group decision making (MCGDM) are the TOPSIS and VIKOR techniques. We discuss a score function that combines TOPSIS, VIKOR, and NSFIVSS-positive ideal solution (PIS) and NSFIVSS-negative ideal solution (NIS) techniques. The TOPSIS and VIKOR methods also offer decision-making weights. The nearness condition is used to determine the best alternative. An educational trust intends to give some money to those underdeveloped schools since they lack amenities like restrooms, a campus environment that is favorable to learning, sports equipment, and classroom furnishings like desks and lights. In order to lower the factor, they declared a payment to be made in the amounts of 30, 25, 20, 15, and 10. Find the top five under performing schools in the state.

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M. Palanikumar mail -

Aiyared Iampan mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.190308

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2022

A Review on Distributed Denial of Service Detection in Software Defined Network

Network security has become considerably essential because of the expansion of the internet of things (IoT) devices. One of the greatest hazards of today's networks is distributed denial of service (DDoS) attacks, which could destroy critical network services. Recently numerous IoT devices are unsuspectingly attacked by DDoS. To securely manage IoT equipment, researchers have introduced software-defined networks (SDN).  This paper aims to analyze and discuss machine learning-based systems for SDN security networks from DDoS attacks. The results have indicated that the algorithms for machine learning can be used to detect DDoS attacks in SDN efficiently. From machine learning approaches, it can be explored that the best way to detect DDoS attacks is based on utilizing deep learning procedures. Moreover, analyze the methods that combine it with other machine learning techniques. The most benefits that can be achieved from using deep learning methods are the ability to do both feature extraction along with data classification; the ability to extract specific information from partial data. Nevertheless, it is appropriate to recognize the low-rate attack, and it can get more computation resources than other machine learning where it can use a graphics processing unit (GPU) rather than a central processing unit (CPU) for carrying out the matrix operations, making the processes computationally effective and fast.

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Khadija Shazly mail -

Dina A. Salem mail -

Nacereddine Hammami mail -

Ahmed I. B. ElSeddawy mail

link https://doi.org/10.54216/IJWAC.050201

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2022

On the Conditions of Imperfect Neutrosophic Duplets and Imperfect Neutrosophic Triplets

In any neutrosophic ring R(I), an imperfect neutrosophic duplet consists of two elements x,y with a condition xy=yx=x and an imperfect neutrosophic triplet consists of three elements x,y,z with condition xy=yx=x,yz=zy=z,and xz=zx=y. The objective of this paper is to determine the necessary and sufficient conditions for neutrosophic duplets and triplets in any neutrosophic ring R(I), and to determine all triplets in Z(I).

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Hamiyet Merkepci mail -

Katy D. Ahmad mail

link https://doi.org/10.54216/GJMSA.020201

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2022

On Some Results about Schrodinger-Hermite Equation

This work is dedicated to study the equation of Schrodinger-Hermite on some well-known spaces as L_2 (R^n ) by using Hermite operator H=-∆+|x|^2.

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Mehmet Celik mail

link https://doi.org/10.54216/GJMSA.020202

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2022

The Application of AH-Isometry in the Study of Neutrosophic Conic Sections

One of the most important areas of analytic geometry involves the concept of conic sections. The objective of this paper is to introduce the concept of neutrosophic conic sections, so that each neutrosophic conic section represents two classic conic section in the general case. On the other hand, all special cases resulting from the expansion by moving to the neutrosophic systems will be discussed and handled.

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Hamiyet Merkepci mail -

Mohammad Abobala mail

link https://doi.org/10.54216/GJMSA.020203

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2022