An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques

Reem; Aditi

doi:https://doi.org/10.54216/IJWAC.060201

Journal of Neutrosophic and Fuzzy Systems | 2023

Important Neutrosophic Economic Indicators of the Static Model of Inventory Management without Deficit

Inventory models are generally concerned with finding the volume of inventory to be kept to ensure the continuity of work, which achieves the facility with the lowest cost and the greatest profit, and since the ideal volume is affected by the rate of demand for inventory, in previous research [5] we studied the static model without a deficit according to the neutrosophic logic and we came to a relationship that we calculate through which the ideal size of inventory, the result was a neutrosophic value that takes into account all the fluctuations and changes that administrators may encounter during the course of work through the indeterminacy and indeterminate values of the demand rate, in this research we use the neutrosophic concepts of static model of inventory management without deficit and ideal volume which we have in last research, for most important neutrosophic economic indicators that play an important role in the administrative decision-making process about the functioning of production facilities and commercial establishments that have warehouses in which they keep their equipment, goods and manufactured and unmanufactured materials necessary for the production process and provide them with a future vision of the reality of their condition over time.

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Maissam Jdid mail

link https://doi.org/10.54216/JNFS.050101

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Special Single Valued Decagonal Neutrosophic Number and its Applications

The Neutrosophic number is defined to solve the vagueness of the real-life problem and to analysis the indeterminacy of the problem, the paper defines a special single valued Decagonal Neutrosophic number and De-Neutrosophication formula are formulated using the removal area method and a numerical practical example is illustrated of network path edges using Neutrosophic number.

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M. U. Jayanth Sastri mail -

I. Paulraj Jayasimman mail -

A. Rajkumar mail -

D. Nagarajan mail -

broumi said mail

link https://doi.org/10.54216/IJNS.200105

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Analyses the least cost using Travelling Salesman problem through Neutrosophic Fuzzy system

The following paper introduces a methodology to calculate the least cost for a directed network through Travelling salesman problem. Dynamic programming method is used to find the minimum Cost. The recursion formula is used. The edge weights of the networks are being taken in terms of Triangular, Trapezoidal and Pentagonal Neutrosophic set. Score function for the Triangular, Trapezoidal and Pentagonal Neutrosophic sets are being defined for deneutrosophication. The least cost is estimated using all the above said Neutrosophic sets and the result is compared

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S. Ghousia Begum mail -

N. Jose Parvin Praveena mail -

A. Rajkumar mail -

D. Nagarajan mail -

broumi said mail

link https://doi.org/10.54216/IJNS.200106

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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International Journal of Artificial Intelligence and Education Technology |

Traffic Rule Violation and Accident Detection using CNN

Traffic rule violations and accidents are major sources of inconvenience and danger on the road. In this paper, we propose a convolutional neural network (CNN) based approach for detecting these events in real-time video streams. Our approach uses a YOLO-based object detection model to detect vehicles and other objects in the video, and an IOU-based accident detection module to identify potential accidents.We evaluate the performance of our approach on a large dataset of traffic video footage and demonstrate its effectiveness in detecting traffic rule violations and accidents in real-time. Our approach is able to accurately detect a wide range of traffic rule violations, including wrong-side driving, signal jumping, and over speed. It is also able to accurately track the movements of objects in the video and to identify potential accidents based on their trajectories.In addition to detecting traffic rule violations and accidents, our approach also uses an ANPR module to automatically read the license plate numbers of detected vehicles. This allows us to generate e-challans and punishments for traffic rule violations, providing a potential deterrent to future violations. Overall, our proposed approach shows promise as a tool for detecting and preventing traffic rule violations and accidents in real-time surveillance systems. By combining powerful object detection and motion analysis algorithms with an ANPR module, it is able to accurately and efficiently identify traffic rule violations and accidents, providing valuable information for traffic management and safety.

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International Journal of Neutrosophic Science | 2023

The State of Risk and Optimum Decision According to Neutrosophic Rules

In light of the current circumstances and the momentary fluctuations that we live in all domains of life, which have transformed most decision-making cases into risky cases, this study was necessary. In this research, we present a new study for decision-making in the event of risk, by formulating some rules according to the neutrosophic logic starting from the data of the problem, where we replaced the classical values in the matrix of profit and probabilities with neutrosophic values that have a margin of freedom thanks to the indeterminacy provided by the neutrosophic logic, and we got more accurate solutions than the solutions that we obtained when using the classical rules which reduces the occurrence of losses, especially if the decisions are fateful and the decision issues are huge and complex and helps us to achieve the greatest profits by adopting a rational decision based on modern quantitative ways and methods.

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Maissam Jdid mail -

Hla Hasan mail

link https://doi.org/10.54216/IJNS.200107

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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Prospects for Applied Mathematics and Data Analysis | 2023

A Study of Neutrosophic Property Functions

This paper is dedicated to neutrosophic property functions its generalizations, especially neutrosophic Gamma function, neutrosophic Beta function, neutrosophic Zeta function. Also, this work gives the interested reader a background in the study of neutrosophic polynomial orthogonality.

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Ahmed Salamah mail -

Malath F. Alaswad mail -

Rasha Dallah mail

link https://doi.org/10.54216/PAMDA.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Medical diagnosis decision making using type-II generalized Pythagorean neutrosophic interval valued soft sets

The theory of type-II generalized Pythagorean neutrosophic interval valued soft set (Type-II PyNSIVS) and its application to real problems are introduced in this study. Additionally, we define a few operations using the type-II PyNSIVS set. The Pythagorean neutrosophic interval valued soft (PyNSIVS) set and Pythagorean fuzzy soft set are both generalized to form the type-II PyNSIVS set. Complement, union, intersection, AND, and OR are some examples of operations that we define. In particular, we demonstrate the applicability of De Morgan’s laws, associative laws, and distributive laws in type-II PyNSIVS set. The proposed similarity measure of type-II GPyNSIVS sets serves as the foundation for a strategy we provide for a medical diagnosis challenge. This method of comparing two type-II GPyNSIVS sets can be used to determine if a sick person has a particular disease or not. We support a method using the type-II generalized soft set model to tackle the decision making (DM) problem. We describe the use of a similarity measure between two type-II GPyNSIVS sets in a medical diagnosis situation. To demonstrate how they can be utilized to successfully address issues with uncertainties, illustrative examples are given.

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M. Palanikumar mail -

K. Arulmozhi mail -

Aiyared Iampan mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.200108

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

New algebraic extension of interval valued Q-neutrosophic normal subbisemirings of bisemirings

In this research article, we introduce the notions of interval valued Q-neutrosophic subbisemirings (IVQNSSBSs), level sets of an IVQNSSBS and interval valued Q-neutrosophic normal subbisemirings (IVQNSNSBSs) of bisemirings. Let Y ⃗ be an interval valued Q-neutrosophic set (IVQNS set) in a bisemiring 〆. Prove that Y ⃗ is an IVQNSSBS of S if and only if all nonempty level set Ξ(t,s) ⃗ is a subbisemiring (SBS) of S for t, s ∈ D[0, 1]. Let Y ⃗ be an IVQNSSBS of a bisemiring 〆 and V ⃗ be the strongest interval valued Qneutrosophic relation of 〆. Prove that Y ⃗ is an IVQNSSBS of S if and only if V ⃗ is an IVQNSSBS of 〆 × 〆. We illustrate homomorphic image of IVQNSSBS is an IVQNSSBS. Prove that homomorphic preimage of IVQNSSBS is an IVQNSSBS. Examples are given to demonstrate our findings.

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M. Palanikumar mail -

K. Arulmozhi mail -

Aiyared Iampan mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.200109

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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Prospects for Applied Mathematics and Data Analysis | 2023

Application of Integral Operator Generated by Touchard Polynomials to Certain Subclasses of Harmonic Functions

Let SH denote the class of functions f = h + g which are harmonic univalent and sense-preserving in the unite disk U = {z : |z| < 1} where h(z) = z +P∞ k=2 akzk, g(z) =∞Pk=1 bkzk (|b1| < 1). In this paper we establish connections between various subclasses of harmonic univalent functions by applying certain integral operator involving the Touchard Polynomials.

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Khalifa AlShaqsi mail

link https://doi.org/10.54216/PAMDA.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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International Journal of Wireless and Ad Hoc Communication | 2023

An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques

Replacement of physical labor and repetitive tasks by the agents is an attractive issue in the Smart Environment (SE). SE is distinguished by its ability to be controlled from a distance, to facilitate the connection between devices through middleware, to gather and share data from sensors, to improve the intelligence of devices, and to make decisions. To be effective, SE design must make use of information and networks that already exist in the actual world. Effective SE design is complicated by several difficulties, including monitoring, data collecting, assessment, evaluation, prediction of important data, and meaningful presentation. For SE, the most important step is gathering information from a variety of sensors in various locations. Wireless sensor networks provide an underlying architecture for the coordinated collection of data from many sensors that have common characteristics (WSN). An essential aspect of sensor networks is their inability to function in the currently complicated environment for wireless network security. In the realm of remote sensor businesses, cryptology is an essential part of safety measures. Several of the prevalent cryptographic methods have significant flaws that prevent them from being fully reliable. In this paper, we provide a unified, three-stage cryptographic procedure that combines public-key and secret-key techniques for maximum security. Due to consideration of Public-key management and high degree of security, Rijndael Encryption Approach (REA), Horst Feistel's Encryption Approach (HFEA), and the more sophisticated Rivest-Shamir-Adleman (e-RSA). Time spent in both execution and decoding of the suggested approach was utilized to rank the quality of displays. The suggested set of rules uses a single evaluation boundary or computation time, which is different from the methodologies used before. Low Encryption Time (LET) and Low Unscrambling Time (LDT) values of 1.12 and 1.26 were observed on texts ranging in size from 6 to 184 MB, respectively. Comparisons show that the suggested hybrid form is 2.9% more efficient than AES+RSA, 1.36 times more efficient than ECC+RSA+MD-5, 1.36 times more efficient than AES+ECC, and 1.36 times more efficient than AES+ECC+RSA+MD-5.

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Reem Atassi mail -

Aditi Sharma mail

link https://doi.org/10.54216/IJWAC.060201

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new