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Distributed Ledger Technology-Enhanced 6G Wireless Communication: Overcoming Trust, Privacy, And Scalability Challenges

The transition from 5G to 6G wireless communication systems introduces new challenges, including scalability, privacy, and security. DLT (Distributed Ledger Technology) technology, with its decentralized and secure framework, offers a promising solution to address these issues in a 6G context. In a 6G environment, DLT can facilitate decentralized management, secure authentication, and trusted data exchanges. By leveraging DLT's distributed ledger system, it can support device identity verification, spectrum allocation, and secure data sharing across nodes, creating a trustworthy communication ecosystem. DLT and 6G integration enables efficient spectrum management, where smart contracts automate resource allocation, reducing bottlenecks and improving resource efficiency. Moreover, the decentralized nature of DLT enhances privacy and security by providing an authentication mechanism that works without central authority. This is crucial, as 6G will involve a vast number of connected devices. This research aims to explore the role of DLT in improving the security and scalability of 6G networks, investigate spectrum management techniques, and evaluate decentralized device authentication and trust mechanisms. Additionally, challenges such as latency, scalability, and DLT integration in 6G are examined. DLT's decentralized nature aids in network security and robustness, mitigating vulnerabilities by distributing control across nodes. It also streamlines resource allocation and device authentication, improving privacy. DLT enables users to manage access rights through decentralized mechanisms, fostering trust and compliance with privacy regulations. However, issues like latency due to transaction validation and the need for advanced techniques like sharding are challenges that must be addressed to optimize DLT for 6G applications.

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R. Sivasankari mail -
S. Amsavalli mail -
Kamarunnisha H. mail -
Vetripriya M. mail -
Tamilselvi S. mail
link https://doi.org/10.54216/JISIoT.180123

Volume & Issue

Vol. Volume 18 / Iss. Issue 1

Details open_in_new

Discovering Novel Types of Irresolute and Contra Mappings for m-Polar Neutrosophic Topological Spaces

The present work explores the features of new kinds of neutrosophic continuous mappings, including neutrosophic irresolute β^*−continuous mapping (NIβ^*CM) and neutrosophic continuous mappings, including neutrosophic contra β^*−continuous mapping (NCOβ^*CM) and investigates some properties related them. Moreover, we study the relationships between these two concepts with the concept of irresolute α^* and contra α^*−continuous mapping. Finally, we introduced m-polar neutrosophic irresolute β^*−continuous mapping (MPNIβ^*CM) and neutrosophic continuous mappings, including m-polar neutrosophic contra β^*−continuous mapping (MPNCOβ^*CM) with investigates some properties related them.

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Mohanad Abdulkareem Hasan Hasab mail -
Shadia Majeed noori mail -
Yaseen, S. R. mail -
S. Khalil mail
link https://doi.org/10.54216/IJNS.270101

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

A Unified Framework for Solving Abel's and Linear Volterra Integral Equations and Their Neutrosophic Generalizations Using the GALM Transform

Integral equations, including Abel’s integral equation and linear Volterra integral equations of both the first and second kinds and neutrosophic Abel’s integral equation and linear Volterra integral equations of both the first and second kinds, regularly appear in advanced problems across biology, chemistry, physics, and engineering, often modeling systems with memory effects or time-dependent interactions. This study explores the GALM transform as a powerful and unified method for solving these equations. The exact solution of Abel’s integral equation and its neutrosophic version is derived, demonstrating the transform’s simplicity and efficiency through practical applications. Additionally, the GALM transform is employed to solve linear Volterra integral equations of the first and second kinds with their neutrosophic generalizations, with illustrative examples provided to validate its effectiveness. By addressing a wide range of problems, this research establishes the GALM transform as an accurate, reliable, and versatile tool, offering significant advantages over traditional methods in solving complex scientific and engineering equations.

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Maha Alsaoudi mail -
Gharib M. Gharib mail -
Abdallah Al-Husban mail -
Jeireis A. Abudayyeh mail
link https://doi.org/10.54216/IJNS.270103

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

A Numerical Study of Neutrosophic Finite Difference Method and Some Applications

In this paper, we present some results about the neutrosophic-generalized version of finite-difference method, where we prove its essential properties, and we apply it to many different examples to clarify the validity of our work. In addition, some numerical tables related to the results will be clarified and presented.

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Isra Al-Shbeil mail -
Ahmad A. Abubaker mail -
Sara A. Khalil mail -
Maha Alammari mail -
Mohamed Soueycatt mail -
Abdallah Al-Husban mail
link https://doi.org/10.54216/IJNS.270104

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

Some Einstein Operations on Rough Neutrosophic Sets with their Properties

Algebraic operations, which include addition, subtraction, division, scalar multiplication, and exponentiation, are the fundamental mathematical operations utilised in decision-making analysis. When performing on numbers, the algebraic operations are commonly referred to as arithmetic operations. Another alternative for algebraic operations, known as Einstein operations, has gained recognition for its smooth approximation and utilisation of Archimedean norms. However, it is crucial to note that Einstein operations are not designed to effectively address issues of indeterminacy, uncertainty, and lower-upper approximation. Thus, this paper defines some rough neutrosophic-based Einstein operations known as RNS Einstein addition, RNS Einstein multiplication, RNS Einstein scalar multiplication, and RNS Einstein exponentiation. By adopting rough neutrosophic sets (RNS), which incorporate neutrosophic lower and upper approximations, the proposed RNS Einstein operations offer a practical approach for handling uncertain situations. Some examples are provided to demonstrate the applicability of the RNS Einstein operations. Several desirable properties related to the defined RNS Einstein operations are investigated. Finally, the proposed RNS Einstein operations are applied in solving multi-criteria decision-making problems within a rough neutrosophic environment.

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Nur Qasfareeny Abdul Halim mail -
Noor Azzah Awang mail -
Nor Hashimah Sulaiman mail -
Hazwani Hashim mail -
Lazim Abdullah mail
link https://doi.org/10.54216/IJNS.270105

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

A New Operator via Regular Open Sets in a New Topological Structure

In this paper, we will use the family of regular open sets in a topological space (Z, τ ) to define an operator ΦR : 2Z → 2Z by ΦR(F) = {s ∈ Z : ∃ D ∈ RO(Z, s) with (D − F )c /∈ P} in frame of primal topological spaces. Then we introduce the notion of topology δ-compatible for a primal in a primal topological space and study some of its properties. Finally, we use the concept of δ-semi-open sets to provide additional properties for the operators (⋄ R) and ΦR(F ), and we add many illustrative examples that help clarify the relationships between the concepts that are presented.

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Amani Rawshdeh mail -
Ahmad Al-Omari mail
link https://doi.org/10.54216/IJNS.270106

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

Time Series Forecasting of Energy Consumption Using Advanced Neutrosophic Statistical and Machine Learning Models

Predicting future energy consumption plays a vital role in maximizing resource utilization, reducing costs, and enhancing sustainability. Researchers employ advanced statistical and machine learning models to improve the accuracy of time series forecasting. Real-world energy consumption data is analyzed using State-Space Models (SSMs), Vector Auto Regression (VAR), Structural VAR (SVAR), Generalized Additive Models for Location, Scale, and Shape (GAMLSS), and Bayesian Structural Time Series (BSTS). An evaluation of Long Short-Term Memory (LSTM) networks and the Prophet model is conducted alongside a comparison with the aforementioned models. The proposed method integrates neutrosophic statistical models for feature extraction and residual analysis, generating outputs suitable for machine learning processing. The results indicate that incorporating judgment-based neutrosophic statistical approaches with AI-driven neutrosophic prediction models yields superior forecasts of power consumption, contributing to more comprehensive and effective energy usage prediction methodologies.

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Ammar Kuti Nasser mail
link https://doi.org/10.54216/IJNS.270107

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

Bipolar Interval Valued Fuzzy Subgroups

Group theory is one of the significant parts of mathematical algebra. This theory is characterized by its ability to address various applications, including the classification of the symmetry of crystals, atoms, molecules, and polyhedral structures. In this work, we study a newly introduced concept, namely BIVFSs, which is an extension of previous concepts discussed in the previous studies section of this work. In this work, we establish and apply basic algebraic concepts applicable to this concept. We combine this concept with group theory, which has important properties and applications, generating important results, which are explained in the third section of this work. An important result of this work is BIVF-level set, support, BIVF-kernel and bipolar BIVF- characteristic function, and BCF point. Then, we interpret the BIVF-subgroup. Furthermore, we present the associated examples and theorems and prove these associated theorems.

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Ammar Al-Khateeb mail -
Methaq A. Abdlwahid mail -
Fawzi Noori Nassar mail -
Faisal Al-Sharqi mail
link https://doi.org/10.54216/IJNS.270108

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

Separation Axioms Defined by Four Different Points in Neutrosophic Crisp Spaces

In this paper, separation axioms are discussed in neutrosophic crisp topological spaces from a new perspective. This is generally useless because any neutrosophic set does not necessarily have a union of its neutrosophic points under any union and for any kind of points. Hence, the separation properties are studied concerning stable neutrosophic crisp topological spaces, which are determined by two special types of complement. Moreover, various examples are illustrated in these cases.

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Nour M. Easi mail -
L. A. A. Jabar mail -
Ali H. M. Al-Obaidi mail
link https://doi.org/10.54216/IJNS.270109

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new

Neutrosophic Alpha Logarithm Exponential Distribution

The probability distribution holds considerable importance within the realm of probability theory, a concept that permeates nearly all scientific disciplines. Nevertheless, the principal aim of the present research endeavor is to introduce a novel distribution referred to as the neutrosophic Alpha logarithm Exponential, abbreviated as NALE. Various mathematical attributes that elucidate life survival and associated characteristics such as hazard rates, moment’s functions, moment-generating functions, and additional metrics including mean and variance are also examined. Two methods were used to estimate the parameters; the Monte Carlo simulation has been employed to evaluate the efficacy of the NALE distribution estimation and to compare the two estimation methods. Therefore, the outcomes from the simulation executed in this research imply that a satisfactory level of precision in estimation is feasible only when the sample size is notably large. The real data has been utilized to demonstrate the specific manner in which the proposed NALE distribution has been recommended for application. Based on the analyses presented in the preceding sections, it can be inferred that the NALE distribution possesses a broad applicability since it is capable of accommodating of neutrosophic data; it does not differentiate between certainty, probabilities of uncertainty, ambiguities, or imprecisions.

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Hazim G. Kalt mail -
Majida T. Abdul Sada mail
link https://doi.org/10.54216/IJNS.270110

Volume & Issue

Vol. Volume 27 / Iss. Issue 1

Details open_in_new