Artificial Flora Optimization Algorithm with Functional Link Neural Network for DoS Attack Classification in WSN

Mahmoud A.; Mohmaed A.

doi:https://doi.org/10.54216/IJWAC.040101

International Journal of Neutrosophic Science | 2022

Properties of Detour Central and Detour Boundary Vertices in Neutrosophic Graphs

In this paper, the idea of neutrosophic detour boundary vertices and neutrosophic detour center vertices in neutrosophic graph is introduced.  Here the concept of neutrosophic detour eccentricity, neutrosophic detour radius, neutrosophic detour diameter, neutrosophic detour neighbourhood vertex are studied.  Several interesting properties related to of eccentric nodes, peripheral nodes, and central nodes in neutrosophic graphs are established.

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R. Narmada Devi mail -

G.Muthumari mail -

J. Bravelin Jersha mail

link https://doi.org/10.54216/IJNS.180307

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

American Journal of Business and Operations Research | 2022

Trends in The Intake oF Food Groups Among Different Age Groups

Although there has been a vast increase in nutritional knowledge, a healthy dietary pattern is still established due to a lack of knowledge, availability, and accessibility. Even if vegetables are consumed higher percentage of starchy vegetables is consumed hence a balanced and adequate diet is still not followed. This research collected data from different cities of Pakistan via a questionnaire which was filled both face to face as well as online. The sample size was 60 with 10 people from each group. Data was collected majorly in form of a food frequency questionnaire and then percentages and frequencies were calculated for all food groups. In age groups 3-12 years there was a higher consumption of beverages both hot and sweet and nuts and seeds were consumed in higher amounts. On the other hand, the age group 13-18 consumed more fruits and vegetables. Similarly, when moving to age 19-25 and 26-40 there is a higher consumption of milk and milk products. Cereals are consumed most by adults of age 41-60 years and 60+ leaned more towards sweets and snacks. Women tend to consume a more calorie-dense diet than men. Also, children and older adults rely more on sweets and snacks rather than fruits, vegetables, and other nutrient-dense foods.

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Irsa Sajjad mail -

Wareesha Khan mail -

Raja Habib mail

link https://doi.org/10.54216/AJBOR.060204

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2022

Inverse Dominating Set in Neutrosophic Graphs

In this paper, the concept of inverse domination in neutrosophic graph is established. The definition of inverse domination number, inverse dominating set, inverse split and non split dominating sets in neutrosophic graph are developed with suitable examples here. Also, the theorems in inverse domination in neutrosophic graph and the bound on inverse domination number in neutrosophic graph are derived.  

groups

M. Mullai mail -

S. Broumi mail -

P.K.Santhi mail

link https://doi.org/10.54216/IJNS.180309

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2022

Equitable Domination in Neutrosophic Graphs

This paper shows the equitable domination in neutrosophic graphs. In this proposed work, equitable neigh-bourhood of a vertex and equitabe degree are defined. Minimal neutrosophic dominating sets, minimal and maximal equitable independent sets,strong and weak equitable dominating sets in neutrosophic graphs are likewise settled. A few hypotheses on equitable domination in neutrosophic graphs are inferred with numeri-cal examples.

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M.M ullai mail -

S. Broumi mail -

Florentin Smarandache mail -

P.K.Santhi mail

link https://doi.org/10.54216/JNFS.020205

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2022

The Regulation and Influence of Physical Exercise on Human Body's Neutrosophic Set, Respiratory System and Nervous System

The goal of this paper studying the influence of physical exercise (PE) on the human body. Physical exercise plays a vital role in the nervous system and respiratory due it has significant importance. The PE present a benefit in all functions in the body human. But if PE is not regular, it presents a high risk in humans, and humans are not safe when practices it. The impact of PE has many criteria and sub-criteria, which is complex and conflict criteria. So, the multi-criteria decision-making method is present for overcoming this problem. This problem contains incomplete and vague information. So, the neutrosophic sets are used for overcoming uncertainty. The Decision-making trial and evaluation laboratory (DEMATEL) method is a powerful tool for the present the importance and influence criteria on others. So DEMATEL integrated with neutrosophic sets for analyzing and influence regular PE in body human-like nervous systems. An illustrative example was conducted to show the outcome of this method.   

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Abedallah Zaid Abualkishik mail -

Sundus Naji AL-Aziz mail

link https://doi.org/10.54216/IJNS.1803010

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2022

Hybridization of Neutrosophic Logic with Quasi-Oppositional Chimp Optimization based Data Classification Model

Data classification is the procedure of investigating structured or unstructured data and forming it into distinct classes depending upon file types, size, etc. It assist the organizations to derive important solutions based on the data and helps decision making process. The computational intelligence techniques such as neural computing, fuzzy logic, machine learning, etc. can be used to design effective data classification models. This study offers a Hybridization of Neutrosophic Logic with Quasi-Oppositional Chimp Optimization based Data Classification (HNLQOCO) model. The presented HNLQOCO algorithm aims to integrate the concepts of NL and QOCO algorithm for improved data classification outcomes. Besides, the QOCO algorithm is designed by incorporating the concepts of quasi oppositional based learning (QOBL) with traditional chimp optimization algorithm (COA). Here, the NL is applied to represent various kinds of knowledge and the QOCO algorithm is applied to tune the produced NS rules. The experimental result analysis of the HNLQOCO model is tested using three benchmark medical dataset. The obtained results reported the significant performance of the HNLQOCO model over the other methods.

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Sundus Naji AL-Aziz mail -

Reem Atassi mail -

Abd Al-Aziz Hosni El-Bagoury mail

link https://doi.org/10.54216/IJNS.1803011

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

Fusion: Practice and Applications | 2022

Driver Drowsiness Detection in Real-time

In modern life, drowsiness is one of the major causes of road accidents, many of which are fatal. Analyzing statistics, it can be assumed that most road accidents occur as a result of drowsiness leading to serious injury and death. For this reason, various studies have been done on designing programs that can detect driver fatigue and alert them before a serious error occurs. This prevents them from falling asleep and having an accident. Some of the most common methods use automotive-based methods to design their own system. But these traditional measures were strongly influenced by other factors such as road structure, vehicle type and driver-wheel driveability. Some methods use psychological methods of their system that often provide the most accurate and consistent results in the driver's drowsiness monitoring. However, such techniques are very tedious as the electrodes need to be placed on the head and body. In addition, few studies are available where independent measurements are used as system installation, but such methods can confuse the driver and lead to unintended consequences. In this paper, we have proposed a non-disruptive and real-time program. Our proposed system classifies it as sleep deprivation. The model is fed with a large database of closed eyes and open eyes to produce results. The driver is notified by Buzz every time he is found drowsy. In our model, we use a standard forward-looking smartphone camera and use the information we have gained to produce results on our website. This can be more economical than using additional hardware.

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Daksh Khetan mail -

Arun Nawani mail -

Anshul Aggarwal mail -

Ms. Surinder Kaur mail

link https://doi.org/10.54216/FPA.070203

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2022

Neutrosophical dynamic programming

The great development that science has witnessed in all fields has reduced the risks and losses resulting from undertaking any business or projects. Since the emergence of the science of operations research, many life issues have been addressed by relying on it, and by using its methods, we have been able to establish projects and businesses and use the available capabilities in an ideal manner. Which achieved great success in all areas and reduced the losses of all kinds, whether material or human, that we were exposed to because of carrying out these works or projects without prior study. We are now able to model, analyze and solve a wide range of problems that can be broken down into a set of partial problems using dynamic programming. Programming that is used to find the optimal solution in a multi-step situation that involves a set of related decisions. In this research, we study one of the operations research problems that are solved using dynamic programming. It is the problem of creating an expressway between two cities, using the neutrosophic logic. The logic that takes into account all the specific and non-specific data and takes into account all the circumstances that can face us during the implementation of the project. The goal  of studying this issue is to determine the optimal total cost, which is related to the partial costs presented by the study prepared for this project. In order to avoid losses we will take the partial costs neutrosophic values of the form  , where  represents the minimum partial cost in stage  and  represents the upper limit of the partial cost in stage  . Through the indeterminacy offered by neutrosophic logic, we are able to find the ideal solution that will bring us the lowest possible cost for constructing this expressway. It takes into account all the circumstances that may encounter us in our study, and we will present an applied example that illustrates the study.

groups

Maissam Jdid mail -

Rafif Alhabib mail

link https://doi.org/10.54216/IJNS.1803013

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2022

Important Neutrosophic Rules for Decision-Making in the Case of Uncertain Data

An urgent need to make a rational decision has emerged in the world of rapid changes based on quantitative methods that reduce the proportion of risk, especially if the decisions are fateful and the decision issues are huge and complex, noting that the decision-making process and the selection of the optimal alternative depends on the quality of the data that describes the issue that the decision is intended to be taken. Because the theory of administrative decision-making depends on this data and on the type of this data if it is confirmed data or unconfirmed data and not specified with sufficient accuracy, or random data that is repeated according to a certain probability distribution law, after which the decision maker uses the methods used to obtain on the optimal decision. In this research we will study the theory of administrative decisions in the case of uncertain data, which is the situation that the decision maker faces, and he does not know anything certain about the state that nature (market or management --) will take, nor even about the possibilities of any of them, then it is assumed that the cases the possible ones are equal and they enter the analysis at the same opportunity and make a trade-off between the alternatives available to him in all circumstances. In the classical logic, a set of rules was used to help the decision maker to make the ideal decision, and since the ideal decision depends on specific classical values that do not take into account the changes that may occur in the work environment, which is represented by high prices or unavailability of materials or others, it was necessary to search for a better method that helps us to avoid dealing with specific values and gives us a margin of freedom. Therefore, in this research, we will study the theory of decision-making in the case of uncertain data using the Neutrosophic Logic, the logic that helps us to face fluctuations and changes that we may encounter during work, through uncertainty that the Neutrosophical values have, which we will take in the elements of the profit (or loss) matrix and rely on them in the decision-making process, as we will take these values in the form of fields representing the minimum field of profit (or loss) that we can get in the worst cases of nature, and represents the upper limit of the field of profit (or loss) that we can get in the best cases of nature, and we will show the most important rules used in the case of uncertain data with an applied example of each rule.

groups

Maissam Jdid mail -

Basel Shahin mail -

Fatima Al Suleiman mail

link https://doi.org/10.54216/IJNS.1803014

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2022

Artificial Flora Optimization Algorithm with Functional Link Neural Network for DoS Attack Classification in WSN

Wireless sensor networks (WSN) is widely utilized for collecting data related to physical parameters from the environment. Security remains a challenging issue in the design of WSN. Security in WSN from Denial of Service (DoS) attack is an important security risk. This study introduces an artificial flora optimization algorithm with functional link neural network (AFOA-FLNN) model for DoS attack classification in WSN. The presented AFOA-FLNN model initially undergoes data pre-processing to transform the data into meaningful way. Secondly, the FLNN model is utilized for the effective recognition and classification of intrusions in WSN. Finally, the AFOA is exploited for optimally tuning the parameters involved in the FLNN model and results in enhanced performance. In order to demonstrate the better outcomes of the AFOA-FLNN model, a wide-ranging experimentation assessment on test data and the results pointed out the improved outcomes of the AFOA-FLNN model.

groups

Mahmoud A. Zaher mail -

Mohmaed A. Labib mail

link https://doi.org/10.54216/IJWAC.040101

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new