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Deciphering the Geometric Bonferroni Mean Operator in Pythagorean Neutrosophic Sets Framework

Neutrosophic Sets and Systems 2025年 75卷 139-161页

作者： Kamari, Mohammad Shafiq Bin Mohammad Rodzi, Zahari Bin Md. Al-Obaidi, R.H. Al-Sharqi, Faisal Al-Quran, Ashraf Shlaka, Rawan A. College of Computing Informatics and Mathematics Studies MARA University of Technology Negeri Sembilan Branch Seremban Campus Negeri Sembilan Seremban70300 Malaysia Faculty of Science and Technology National University of Malaysia Selangor Bandar Baru Bangi43600 Malaysia Fuel and Energy Techniques Engineering Department College of Engineering and Technologies AI-mustaqbal University Babylon51001 Iraq Department of Mathematics Faculty of Education for Pure Sciences University of Anbar Anbar Ramadi Iraq Department of Basic Sciences Preparatory Year King Faisal University Al-Ahsa31982 Saudi Arabia College of Pharmacy National University of Science and Technology Dhi Qar Iraq

The Geometric Bonferroni Mean (GBM), is an extension of The Bonferroni mean (BM), that combines both BM and the geometric mean, allowing for the representation of correlations among the combined factors while acknowledging the inherent uncertainty within the decision-making process. Within the framework of Pythagorean neutrosophic set (PNS) that encompasses truth, indeterminacy, and falsity-membership degrees, each criterion can be integrated into a unified PNS value, portraying the overall evaluation of that criterion by employing the Geometric Bonferroni mean. This study aims to enhance decision-making in Pythagorean neutrosophic framework by introducing an aggregation operator to PNS using the Geometric Bonferroni Mean. Additionally, it proposes a normalized approach to resolve decision-making quandaries within the realm of PNS, striving for improved solutions. The novel Pythagorean Neutrosophic Normalized Weighted Geometric Bonferroni Mean (PNNWGBM) aggregating operator has been tested in a case of multi-criteria decision-making (MCDM) problem involving the selection of Halal products suppliers with several criteria. The result shows that this aggregating operator is offering dependable and pragmatic method for intricate decision-making challenges and able to effectively tackle uncertainty and ambiguity in MCDM problem. © 2025, University of New Mexico. All rights reserved.

关键词： Mathematical operators

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An Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems 4th

An Improved Modified Jaya Optimization Algorithm: Applicatio...

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4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

作者： Silva, Bruno Guerreiro Lopes, Luiz Doctoral Program in Informatics Engineering University of Madeira Madeira Island Funchal Portugal Regional Secretariat for Education Science and Technology Regional Government of Madeira Funchal Portugal Faculty of Exact Sciences and Engineering University of Madeira Madeira Island Funchal9020-105 Portugal

ISBN: (纸本)9783031812408

Population-based metaheuristic algorithms have been used to solve challenging optimization problems, and numerous modifications to make these algorithms more efficient have been proposed. Jaya is one of these algorithms that has been modified and utilized to solve many hard optimization problems. One such modification to the original algorithm is the Modified Jaya (MJAYA) algorithm, which, like Jaya, uses information about the best and worst candidate solutions to determine the population’s search direction, thereby limiting and focusing the search. Recent research has demonstrated that the MJAYA algorithm is not effective at solving systems of nonlinear equations transformed into equivalent nonlinear optimization problems. Systems of nonlinear equations are probably the most difficult class of numerical mathematics problems to solve, which justifies the use of metaheuristic approaches in their resolution. This paper proposes a new population-based optimization algorithm, the Improved Modified Jaya (IM-Jaya) algorithm, which, despite being a generic metaheuristic optimization algorithm, is here used to solve systems of nonlinear equations. The proposed algorithm strikes a better balance between global exploration and local exploitation, allowing for a broader and more exhaustive exploration of the search space as well as a more efficient local search in its most promising regions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Optimization algorithms

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Early Recognition of the Speaker's Age 21

Early Recognition of the Speaker's Age

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21st International Conference on Emerging eLearning Technologies and Applications, ICETA 2023

作者： Kupcova, Eva Haluska, Renat Popovic, Michal Pleva, Matus Heng, Marie Somnea Bours, Patrick Technical University Kosice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Communications Košice Slovakia Norwegian University of Science and Technology Department of Information Security and Communication Technology Gjovik Norway

ISBN: (纸本)9798350370690

In this article, we describe a method for determining a person's real age based on voice recognition. We seek to contribute to the realm of age group classification not reliant on text by investigating voice feature analysis, making use of accessible voice audio datasets, and employing a prototype classification model. Additionally, we aim to explore the initial phase of voice-based age group classification to enhance the customization of interventions. © 2023 IEEE.

关键词： Speech recognition

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Blockchain-based cross-domain authorization system for user-centric resource sharing

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Blockchain(Research and Applications) 2023年第2期4卷 67-81页

作者： Yuki Ezawa Shohei Kakei Yoshiaki Shiraishi Masami Mohri Masakatu Morii Department of Electrical and Electronic Engineering Kobe UniversityKobeHyogo657-8501Japan Department of Computer Science Nagoya Institute of TechnologyNagoyaAichi466-8555Japan Faculty of Informatics Kindai UniversityHigashi-OsakaOsaka577-8502Japan

User-centric data sharing is essential to encourage citizens'active participation in the digital *** key to smart cities,a form of the digital economy,is the promotion of public use of citizen ***,it is not easy to utilize data without citizens’*** this study,we took a technological approach to these *** access(UMA)is a well-known framework for delegating resource access rights to others on the *** UMA,authorization mechanisms are designed to be centralized so that resource owners can centrally manage access rights for various resources stored in different ***,the lack of transparency in the authorization mechanism is a barrier to its implementation in large-scale systems such as smart *** this study,we developed a blockchain-based cross-domain authorization architecture that enables a resource-sharing ecosystem in which organizations that wish to utilize data can freely trade with each *** proposed architecture solves the transparency problem that conventional authorization systems have had by designing the authorization mechanism on blockchain *** implemented the proposed architecture as smart contracts and evaluated its processing *** resultant time required for delegating access rights and accessing resources was less than 500 ***,we found that the fluctuation in the processing time overhead was *** on these results,we concluded that performance degradation with the proposed architecture is minor.

关键词： Access control Authorization Blockchain Hyperledger fabric User-managed access

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Grasshopper Optimization Algorithm Based Spam Detection System Using Multi-Objective Wrapper Feature Selection and Neural Network Classification 2nd

Grasshopper Optimization Algorithm Based Spam Detection Syst...

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2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022

作者： Ghaleb, Sanaa A. A. Mohamad, Mumtazimah Ghanem, Waheed A. H. M. Abdullahi, Akibu Mahmoud Nasser, Abdullah B. Saleh, Sami Abdulla Mohsen Arshad, Humaira Omolara, Abiodun Esther Abiodun, Oludare Isaac Ghetas, Mohamed Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Terengganu Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Malaysia Faculty of Education Saber University of Lahej Lahej Yemen Faculty of Engineering University of Aden Aden Yemen Faculty of Education Aden University of Aden Aden Yemen Faculty of Computing and Informatics Albukhary International University Kedah Malaysia School of Technology and Innovation University of Vaasa Vaasa Finland School of Electrical and Electronic Engineering Universiti Sains Malaysia Nilai Malaysia Department of Computer Science Islamia University of Bahawalpur Bahawalpur Pakistan Department of Computer Science University of Abuja Abuja Nigeria Department of Computer Science Bingham University Nasarawa Nigeria Faculty of Computer Science Nahda University New Beni Seuf City Egypt

ISBN: (纸本)9783031252730

Email classification is essential to the trouble of email and pattern recognition. Nowadays, a number of unsolicited messages are circulated over the internet. While plenty of machine learning techniques are a success in detecting textual primarily based on totally unsolicited mail, this isn’t the case for messages spams, which can without difficulty avoid those textual-unsolicited mail detection systems. This paper proposes the introduction of MOBGOA constructed on the binary version of the GOA algorithm, for multi-objective selection of features purposes and the wrapper approach of selection of features and purpose of the EGOAMLP algorithm utilized this algorithm as the wrapper classifier. Spam assassin dataset was used to validate the performance of the MOB-EGOAMLP. The result uncovered that the new technique outflanks the wide selection of different methods in previously published works. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Feature Selection

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FPGA design and implementation for montgomery multiplication algorithm using MATLAB HDL coder

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Bulletin of the National Research Centre 2024年第1期48卷 1-16页

作者： Elsayed, Ghada Abass, Eman S. Computer Science and Informatics Faculty The British University in Egypt Cairo Egypt Electrical Engineering Department Faculty of Engineering Modern University for Technology and information (MTI University) Cairo Egypt

Modular multiplication for large numbers is especially important in cryptography algorithms such as RSA and elliptic curves. The Montgomery algorithm is the most famous and efficient one for calculating it. Hardware implementation for cryptography co-processors is better than software implementation in terms of speed and security. Many FPGA designs for the Montgomery multiplication algorithm was published based on hardware description languages like VERILOG and VHDL. This paper proposes the FPGA design and implementation using MATLAB HDL Coder. The algorithm is modified such that it can fit any small/large FPGA by introducing scaling factor. The design is configurable in both modulus length and the scaling factor. This paper performs a comparison between the synthesizing results for different scales and for different modulus lengths. The synthesizing is performed up to 8K bit modulus length, and it can be increased easily. In this paper, implementation of different modulus lengths with different frequencies and with different area utilization can be easily achieved. The design utilizes different area resources for each configuration. The target is xc7vx330t-2ffg1157 Virtex-7 Xilinx FPGA. The maximum frequency is 80.81 MHz for 4096-bit modulus length with 8-bit data width and 2 for serialization factor. The minimum area utilization is achieved for minimum configurations, i.e., 1024-bit modulus length with 8-bit data width and for unity serialization factor. This paper proposes a scalable and configurable FPGA design for Montgomery multiplication co-processor-based HDL coder design.

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Improving Dynamic Security of the Least Significant Bit Using Block-Based Chaotic Multi-level LSB (BCM-LSB) 1

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9th International Conference on Cyber Security, Privacy in Communication Networks, ICCS 2023

作者： Azam, Muhammad Harith Noor Ridzuan, Farida Norazizi Sham Mohd Sayuti, M. Azni, A.H. Zakaria, Nur Hafiza Harjito, Bambang Faculty of Science and Technology Universiti Sains Islam Malaysia Nilai Malaysia Cybersecurity and Systems Research Unit Faculty of Science and Technology Universiti Sains Islam Malaysia Nilai Malaysia Faculty of Engineering and Built Environment Universiti Sains Islam Malaysia Nilai Malaysia Department of Informatics Universitas Sebelas Maret Jl. Ir. Sutami 36A Kentingan Surakarta Indonesia

ISBN: (数字)9789819739738

ISBN: (纸本)9789819739721

Least Significant Bit (LSB) embedding is one of the most common techniques used in audio steganography. LSB audio steganographic techniques have poor dynamic security and are vulnerable to visual and statistical attacks. Therefore, secret information should be disseminated throughout the cover audio to withstand these attacks. To solve this issue, the Block-based Chaotic Multi-level Least Significant Bit (BCM-LSB), which comprises two elements: block generator and rounding mechanism, is proposed. The block generator controls the size and quantity of the block, along with the initial embedding point of the secret information based on a set of stego-keys. In addition, the rounding mechanism ensures that any incomplete embedding process within a block is carried forward to the start of the same block to maximise the BCM-LSB capacity. The proposed method achieves an even distribution of the secret information across the cover audio by utilising these two elements. The results indicate that the BCM-LSB achieved the research objective while maintaining the audio steganography capacity, imperceptibility, and robustness. The segmental SNR (seg-SNR) test indicated that the BCM-LSB avoided graph spikes compared to existing methods. Moreover, the BCM-LSB distributed the error fairly throughout the stego-file compared to other existing methods. The BCM-LSB achieved high dynamic security as all variations successfully distributed the secret information throughout the cover audio. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Signal to noise ratio

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Pros and Cons of Artificial Intelligence-ChatGPT Adoption in Education Settings: A Literature Review and Future Research Agendas

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IEEE engineering Management Review 2024年第3期52卷 27-42页

作者： Maita, Idria Saide, Saide Putri, Afifah Mesha Muwardi, Didi Department of Information Systems Faculty of Science and Technology State Islamic University of Sultan Syarif Kasim Riau Pekanbaru28293 Indonesia Department of Information Systems UIN Suska Riau Pekanbaru28293 Indonesia PRO Knowledge Indonesia Pekanbaru28293 Indonesia Dept. Informatics Engineering Faculty of Science and Technology Universitas Pahlawan Tuanku Tambusai Kampar28412 Indonesia Lembaga Enreach UIN Suska Riau Pekanbaru28293 Indonesia Department of Agribusiness Riau University Pekanbaru28293 Indonesia

The integration of artificial intelligence, particularly ChatGPT, in education presents both promising opportunities and notable challenges. Through a systematic review employing the PRISMA method, this article analyzed 45 references published of ChatGPTs impact on educational environments. While ChatGPT offers teachers a versatile learning tool, aiding in tasks, such as lesson planning and content generation, concerns regarding academic integrity and over-reliance on technology have emerged. Ethical considerations, including the potential for cheating in assignments and exams, highlight the need for clear guidelines and ethical frameworks to govern its use. Institutions or related organizations must address issues, such as plagiarism and data privacy, to ensure responsible integration of ChatGPT. Nurturing a growth mindset among educators and learners is crucial to effectively navigate ChatGPT integration. By aligning strategies to leverage ChatGPTs' capabilities while mitigating risks, educators, institutions, and policymakers can enhance the quality of education in an evolving technological landscape. This article contributes to a deeper understanding of ChatGPTs' implications in education, providing insights into its advantages and challenges. Informed decision making and proactive measures are essential to harness ChatGPTs potential for transformative impact while safeguarding educational integrity and ethics. © 2024 IEEE.

关键词： Knowledge management

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A real-time system for detecting personal protective equipment compliance using deep learning model YOLOv5 9th

A real-time system for detecting personal protective equipme...

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9th International Conference on Computer science and Computational Intelligence, ICCSCI 2024

作者： Nazli, Nur Amielia Natasha Mohamad Sabri, Nurbaity Aminuddin, Raihah Ibrahim, Shafaf Yusof, Syafiq Nasir, Siti Diana Nabilah Mohd College of Computing Informatics & Mathematics MARA University of Technology Malacca Branch Jasin Campus Malacca77300 Malaysia Yus Industries Sdn Bhd Malaysia Faculty of Science and Engineering University of Hull Hull United Kingdom

The manufacturing and construction sectors report high rates of occupational accidents and diseases. In response, many countries, including Malaysia, have incorporated the use of Personal Protective Equipment (PPE) into their government laws and safety regulations. In Malaysia, this requirement is outlined in Standard Operating Procedure (SOP) manuals in the construction sector, which specify the mandatory use of seven types of PPE: hard hats, safety goggles, high-visibility vests, safety shoes, gloves, respirators, and earplugs. However, monitoring a large number of workers and ensuring consistent use of PPE on construction sites can be a challenging task if done manually by site supervisors. Therefore, this project aims to implement a real-time PPE detection system using a deep learning model to effectively monitor workers' safety compliance. This system can generate reports that companies in the appropriate sectors can use to monitor compliance with the Occupational Safety and Health Act (OSHA). The prototype system was developed as a web-based platform. The object detection deep learning model achieved a mean Average Precision (mAP) of 91.5% in the metric evaluation, while the accuracy testing yielded a 98.3% accuracy rate. For future work, it is suggested to enhance the detection model for other types of PPE and to make the system more reliable across all sectors by expanding the training dataset. © 2024 The Authors.

关键词： Occupational risks

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Two Layer Symmetric Cryptography Algorithm for Protecting Data from Attacks

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Computers, Materials & Continua 2023年第2期74卷 2625-2640页

作者： Muhammad Nadeem Ali Arshad Saman Riaz Syeda Wajiha Zahra Shahab SBand Amir Mosavi Department of Computer Science Abasyn UniversityIslamabad44000Pakistan Department of Computer Science National University of TechnologyIslamabad44000Pakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliuYunlin64002Taiwan Institute of Information Society University of Public ServiceBudapest1083Hungary John Von Neumann Faculty of Informatics Obuda UniversityBudapestHungary Institute of Information Engineering Automation and MathilticsSlovak University of Technology in BratislavaSlovakia

Many organizations have insisted on protecting the cloud server from the outside,although the risks of attacking the cloud server are mostly from the *** are many algorithms designed to protect the cloud server from attacks that have been able to protect the cloud server ***,the attackers have designed even better mechanisms to break these security *** cryptography is the best data protection algorithm that exchanges data between authentic *** this article,one symmetric cryptography algorithm will be designed to secure cloud server data,used to send and receive cloud server data securely.A double encryption algorithm will be implemented to send data in a secure ***,the XOR function will be applied to plain text,and then salt technique will be ***,a reversing mechanism will be implemented on that data to provide more data *** decrypt data,the cipher text will be reversed,salt will be removed,andXORwill be *** the end of the paper,the proposed algorithm will be compared with other algorithms,and it will conclude how much better the existing algorithm is than other algorithms.

关键词： Cryptography symmetric algorithm encryption decryption cipher text cloud security asymmetric algorithm

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