New Model of Sustainable Supply Chain Finance Based on Blockchain Technology

Muzafer; Nan; Elma Elfic; Suad

doi:https://doi.org/10.54216/AJBOR.030201

International Journal of Neutrosophic Science |

Multi Criteria Decision Making Algorithm Via Complex Neutrosophic Nano Topological Spaces

The scope of this paper is to instigate the contemporary notion of complex neutrosophic nano topological spaces and explore some of its properties. We also illustrate the properties with numerical quantities. Furthermore, an algorithm for multi-criteria decision-making (MCDM) in medical diagnosis under uncertainty by using complex neutrosophic nano topological spaces are developed (CNNTSs). A comparison table is presented to show the difference between novel concept and the existing methods.

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ManiParimala mail -

MKarthika mail -

SMurali mail -

Florentin Smarandache mail -

Muhammad Riaz mail -

Saeid Jafari mail

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International Journal of Neutrosophic Science |

Entropy of Single-Valued Neutrosophic Partitions and Entropy of Single-Valued Neutrosophic Dynamical Systems

As an instance of a neutrosophic set, a single-valued neutrosophic set (SVNS) can be used to handle uncertainty, inaccuracy, indeterminacy, and inconsistency. In this paper, entropy of single-valued neutrosophic partitions and entropy of single-valued neutrosophic dynamical systems are defined. Some of their properties are shown. Furthermore, a variant of the Kolmogorov–Sinai Theorem on generators is proved for single-valued neutrosophic dynamical systems.

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NganThiRoan mail -

NganThiRoan mail

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Fusion: Practice and Applications | 2021

Novel Filter of DWT for Image Processing Applications

In this work, wavelets are used in the analysis of medical images, where the efficiency of mathematics in this field has been proven because the basis of the proposed wavelets in this work is newly constructed mathematical equations, and through the MATLAB program, many programs have been designed to be ready for use in the field of image analysis and study. Physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used.

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J. Abed Eleiwy mail -

Nagham Jaafar mail

link https://doi.org/10.54216/FPA.040205

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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Journal of Intelligent Systems and Internet of Things | 2021

Characterizing wavelet coefficients with decomposition for medical images

In this paper, applications Discrete Laguerre Wavelet Transform were used where satisfactory results were obtained, where the efficiency of our proposed theory was proved, and the examples used will prove this. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used.

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Jabbar Abed Eleiwy mail

link https://doi.org/10.54216/JISIoT.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

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American Journal of Business and Operations Research | 2021

Internet Financial Risk Early Warning Based on Big Data Analysis

Internet financial risk prevention is an important area for financial risk prevention. In recent years, a series of vicious high-risk events, such as cash lending and P2P platform running, have caused a great negative impact on the reputation of the Internet financial industry, which has aroused great concern from all walks of life. Based on big data analysis technology, this paper constructs an improved algorithm model, and carries out high-precision risk warning for China's Internet financial risk. The forecast data is basically consistent with the actual situation, and the prediction accuracy reaches 90%. It can be seen that the improved model based on the decision tree algorithm has higher prediction accuracy for Internet financial risk warning. This paper systematically sorts out the risks of China's Internet finance from two dimensions: risk type and main risk. And pointed out that the current Internet finance industry in China has a large overall compliance risk, and insufficient infrastructure construction leads to fraud risks. Separate industry supervision has a regulatory vacuum, arbitrage risks are more obvious, and China's financial consumer quality is not high, Internet financial institutions Improper exemption is risky. On this basis, it is proposed to speed up the construction of a multi-integrated Internet financial risk prevention system including the internal risk control system, the industry association self-discipline system, the government administrative supervision system and the effective social supervision system.  

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Noura Metawa mail -

Saad Metawa mail

link https://doi.org/10.54216/AJBOR.030103

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Fusion: Practice and Applications | 2021

E-College : an aid for E-Learning systems

The use of Android apps has significantly increased over the past few years, making android the most accepted and trusted operating system for smart devices. According to a survey, in 2020, over 30.5 billion Android mobile apps were downloaded compared to merely 6 billion in 2016, which is quite noteworthy. People worldwide are also becoming habitual to the use of android apps such that they want everything to be available on their mobile devices. The authors have developed ‘E-College’ - an android-based mobile learning application that helps users grasp various programming languages like C++, Java, and Python and help them with their undergraduate computer engineering course curriculum-related resources. The proposed application allows the learner to access a particular programming language's tutorials and explains it with an example and the required code snippet. Using this application, users can also assess themselves by utilizing the provided quiz section, which has various questions. The proposed mobile application also has a recommendation system section that uses machine learning techniques to intelligently serve the most relevant and suitable content for each user. It considers the user's previous learnings on the application and suggests new and relevant learning content for that particular user. During the ongoing global pandemic situation, E-college application is the most effective way to learn and acquire technical skills without stepping out of their home and fraee of cost.  

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Vanita Jain mail -

Monu Gupta mail -

Neeraj Joshi mail -

Anubhav Mishra mail -

Vishakha Bansal mail

link https://doi.org/10.54216/FPA.030202

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Journal of Cybersecurity and Information Management | 2022

Smart Model for Securing Software Defined Networks

Software defined networks (SDN) remain a hot research field as it provides controllable networking operations. The SDN controller can be treated as the operating system of the SDN model and it holds the responsibility of performing different networking applications. Despite the benefits of SDN, security remains a challenging problem. At the same time, distributed denial of services (DDoS) is a typical attack on SDN owing to centralized architecture, especially at the control layer of the SDN. This article develops a new Cat Swarm Optimization with Fuzzy Rule Base Classification (CSO-FRBCC) model for cybersecurity in SDN. The presented CSO-FRBCC model intends to effectually categorize the occurrence of DDoS attacks in SDN. To achieve this, the CSO-FRBCC model primarily pre-processes the input data to transform it to a uniform format. Besides, the CSO-FRBCC model employs FRBCC classifier for the recognition and classification of intrusions. Moreover, the parameter optimization of the FRBCC classification model is adjusted by the use of cat swarm optimization (CSO) algorithm which results in improved performance. A comprehensive set of simulations were carried out on benchmark dataset and the results highlighted the enhanced outcomes of the CSO-FRBCC model over the other recent approaches.

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Mohammed. I. Alghamdi mail -

Abeer. Y. Salawi mail -

Salwa. H. Alghamdi mail

link https://doi.org/10.54216/JCIM.0100101

Volume & Issue

Vol. Volume 10 / Iss. Issue 1

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Journal of Intelligent Systems and Internet of Things | 2021

ECG signal monitoring based on Covid-19 patients: Overview

  ECG signal monitoring is a very important step for patients. Especially for those infected by covid-19. This pandemic has shown that the use of artificial intelligence helps to control the propagation of this virus. Particularly the high spread of this virus influences the number of the infected population. As well as the fact that this virus attacks the respiratory system which influences the cardiac system. Therefore, an ECG signal monitoring is mandatory. Our work presents an overview based on various approaches developed for ECG signal monitoring. These techniques are based on non-contact monitoring approaches. These approaches will help to avoid frequent contact with patients and doctors. As well as non-contact ECG signal monitoring is based on low-cost techniques, which reduces the price compared to other sensors. After the revision, we can conclude that the most suitable solution for heart rate monitoring is based on image processing using RGB cameras. These solutions are accurate, low cost, and protect the doctors.

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Amine Saddik *, Rachid Latif , Abdoullah Bella mail

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

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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Journal of Intelligent Systems and Internet of Things | 2021

Solving the Problem of Target k-Coverage in WSNs Using Fuzzy Clustering Algorithm

The purpose of the present research was to introduce an algorithm to solve the coverage problem in wireless multimedia networks that can be used to optimize energy consumption and network lifetime. In this regard, the problem of target k-coverage in WSNs was solved by dividing the environment into the proportional area and random selection. This can be done using a fuzzy clustering algorithm. It is worth noting that the results of the proposed algorithm were compared with previous methods such as genetic and annealing algorithm. The simulation results and comparison with other algorithms show a 27% superiority of the proposed algorithm. It is hoped that this method can be used in networks with larger dimensions in the future

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Mohammad Hossein Shafiabadi mail -

Zohre Ahmadi mail -

Mohammad Reza Esfandyari mail

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

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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American Journal of Business and Operations Research | 2021

New Model of Sustainable Supply Chain Finance Based on Blockchain Technology

Blockchain technology has received more and more attention from all walks of life and has also been sought after by the market and financial institutions. More and more financial institutions and Internet companies have begun to participate in the research of blockchain technology. The application scenarios are also constantly expanding, and the landing in the financial field is the focus of all social concerns. This article takes Agricultural Bank as an example, analyzes its current advantages and disadvantages in using blockchain technology, and proposes policy recommendations based on this to provide a reference for joint-stock commercial banks to better use blockchain technology to improve business performance. Based on the theoretical analysis, this article studies the use of blockchain technology by joint-stock commercial banks, and selects Agricultural Bank, which has a well-developed financial technology in joint-stock commercial banks, as a case study. From the operating background of the agricultural bank and the cross-border payment and settlement business, the background begins with the agricultural bank's own business practices in blockchain technology and the traditional cross-border business and the innovative development of agricultural bank's blockchain technology, and then the application of event analysis to the application effects of agricultural bank's blockchain technology analysis. This paper analyzes the SWOT-PEST of the agricultural bank's use of blockchain technology, combined with the theoretical analysis of blockchain technology in this article, comprehensively analyzes the agricultural bank's use of blockchain technology in four aspects: policy, economy, society, and technology. Strengths, weaknesses, opportunities, and challenges. Through analysis, we can have a comprehensive view on the application of blockchain technology by Agricultural Bank, and based on this, we can summarize the problems that Agricultural Bank may have in applying blockchain technology. Through the analysis of the blockchain, we can see that the growth rate of agricultural bank's net profit was higher in 2013 and 2014. Finally, the article puts forward suggestions for the development of agricultural bank under the blockchain technology.           

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Muzafer Saracevic mail -

Nan Wang mail -

Elma Elfic Zukorlic mail -

Suad Becirovic mail

link https://doi.org/10.54216/AJBOR.030201

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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