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Full-Text Articles in Engineering

A Quadrotor Trajectory Tracking Control Method Based On Deep Reinforcement Learning, Guohua Wu, Jiaheng Zeng, Dezhi Wang, Long Zheng, Wei Zou May 2025

A Quadrotor Trajectory Tracking Control Method Based On Deep Reinforcement Learning, Guohua Wu, Jiaheng Zeng, Dezhi Wang, Long Zheng, Wei Zou

Journal of System Simulation

Abstract: Traditional quadrotor controllers, constrained by fixed model equation structures, encounter challenges in addressing control errors stemming from variations in parameters and environmental disturbances. This paper proposes a deep reinforcement learning solution for the quadrotor trajectory following control problem. We present the PPO-SAG algorithm incorporated into the PPO framework, utilizing adaptive mechanisms and PID expert knowledge to enhance training convergence and stability. Target functions incorporating distance constraint penalties and entropy policies are designed in alignment with the characteristics of the given problem. We also devise innovative disturbance-adaptive structures and trajectory feature selection mechanisms to augment control error information and extract …

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Improved Hybrid Optimization Algorithm For Multi-Objective Ipps Problem, Wenbin Gu, Jiexia Qing, Jie Fang, Siqi Liu May 2025

Improved Hybrid Optimization Algorithm For Multi-Objective Ipps Problem, Wenbin Gu, Jiexia Qing, Jie Fang, Siqi Liu

Journal of System Simulation

Abstract: For the problem of multi-objective integrated process planning and scheduling (MOIPPS), an improved hybrid optimization algorithm considering global and local optimum is proposed to optimize two objectives about minimum makespan and energy consumption. A multi-objective problem model and solution framework are established by analyzing the difference and connection between process planning and scheduling in integrated system. A hybrid optimization algorithm is proposed for the two-stage integration problem. In the process planning stage, global search algorithm is employed to provide a variety of process schemes for the integrated system and to ensure the global search performance of the integrated algorithm. …

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Optimization Of Cargo Location Allocation In Four-Way Shuttle Warehousing System Based On Two-Stage Hybrid Algorithm, Zisong Wu, Daofang Chang, Yuchun Gai May 2025

Optimization Of Cargo Location Allocation In Four-Way Shuttle Warehousing System Based On Two-Stage Hybrid Algorithm, Zisong Wu, Daofang Chang, Yuchun Gai

Journal of System Simulation

Abstract: To address issues such as the dense distribution of storage locations and the potential congestion of shuttle vehicles in the four-way shuttle dense storage system, a grid-based approach to the storage location distribution is developed. A location allocation model is then constructed with the goals of ensuring shelf stability, improving warehousing efficiency, and balancing equipment utilization. A twostage hybrid algorithm is designed for the model. In the first stage, the local search strategy of nondominant sequencing genetic algorithm(NSGA-II) is enhanced by incorporating the hill climbing algorithm to address a set of Pareto front sets. In the second stage, the …

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Robot Path Planning Based On Ant Colony Algorithm With Dual Heuristic Information, Xiaohui Zhou, Yanqiang Li, Yong Wang, Decai Zhao, Xiaoyao Yang May 2025

Robot Path Planning Based On Ant Colony Algorithm With Dual Heuristic Information, Xiaohui Zhou, Yanqiang Li, Yong Wang, Decai Zhao, Xiaoyao Yang

Journal of System Simulation

Abstract: The traditional ant colony algorithm is characterized by a slow convergence speed, numerous turning points, and a tendency to fall into local minima. These characteristics make the algorithm less effective for path planning research in mobile robotics. Therefore, this paper proposes an improved ant colony algorithm and applies it to global path planning for robots. The A* algorithm is used to quickly plan a path and increase the initial pheromone of that path, so that the improved algorithm is guided by the global path during the local search, preventing excessive ants from entering dead ends, and reducing the randomness …

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A Simulating Framework Construction Method About New Distributed Confrontation, Zhipeng Liu, Yanyang Gu, Baojie Hu, Fangjun He, Zhipeng Fan May 2025

A Simulating Framework Construction Method About New Distributed Confrontation, Zhipeng Liu, Yanyang Gu, Baojie Hu, Fangjun He, Zhipeng Fan

Journal of System Simulation

Abstract: The new distributed confrontation in future emphasizes systematic combat and flexible use of power in the resistance environment. To study and analyze the potential threats of such new forms of distributed confrontation, this paper proposes a system confrontation strategy focused on decisionmaking confrontation from the perspective of network and electromagnetic space. In addition, a highly flexible and saleable behavior model adversarial framework is proposed. By parameterizing the network and electrical countermeasure strategy, an adversarial model based on typical airspace scenarios is designed, and the confrontation effectiveness of traditional multifunctional platforms and distributed units is quantitatively compared and analyzed. The …

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Research On A Credibility Information Management Method Of Simulation Modeling, Qiming Gu, Jiazhi Chen, Guoyan Cao, Chenchu Zhou, Dengxiu Yu, Haifeng Hu May 2025

Research On A Credibility Information Management Method Of Simulation Modeling, Qiming Gu, Jiazhi Chen, Guoyan Cao, Chenchu Zhou, Dengxiu Yu, Haifeng Hu

Journal of System Simulation

Abstract: A proposed method for managing credibility information in simulation modeling draws insights from the NASA-STD-7009 standard for modeling and simulation. From the perspective of credibility information recording, definition, and assessment, this method aims to address the core issue of whether the credibility requirements are met in simulation modeling research. A simulation system credibility information extraction tool is designed to extract three types of information including modeling credibility information, data credibility information, and development process credibility information, enabling recording, definition, and traceability of credibility information in simulation models. Taking a servo system credibility evaluation as an example, a simulation system …

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Hierarchical Optimal Scheduling Of Integrated Energy System With Electric Vehicles Based On Empc, Miaomiao Ma, Zijuan Long, Zhiwei Ren, Yongqiang Cheng May 2025

Hierarchical Optimal Scheduling Of Integrated Energy System With Electric Vehicles Based On Empc, Miaomiao Ma, Zijuan Long, Zhiwei Ren, Yongqiang Cheng

Journal of System Simulation

Abstract: A hierarchical real-time optimization (HRTO) based on economic model predictive control is designed to address the issues of randomness and uncertainty of renewable energy and demand-side in integrated energy systems (IES) with electric vehicles. The optimization problem of the entire system is divided into three sub-problems: day-ahead rolling optimization, real-time rolling optimization, and tracking control. The day-ahead optimization strategy based on economic model predictive control is constructed to ensure that the operational units can meet users' demands. The optimal steady-state operating points of the entire IES are obtained through the real-time optimization layer. The tracking model predictive controller is …

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Method For Dynamic Coalition Formation Of Wargame Agent For Force Cooperation, Changhua Yao, Shanning Bi, Rufei Ma, Xiaohan Yu, Jiaqiang Li, Jinli Chen May 2025

Method For Dynamic Coalition Formation Of Wargame Agent For Force Cooperation, Changhua Yao, Shanning Bi, Rufei Ma, Xiaohan Yu, Jiaqiang Li, Jinli Chen

Journal of System Simulation

Abstract: Regarding the issue of cooperative task alliance formation and adjustment in multi-agent dynamic confrontation scenarios at the tactical level, this method comprehensively considers factors such as target value, task allocation, and operator characteristics, as well as the benefits and costs of executing different types of tasks. we propose a targeted force coordination adjustment for dynamic task alliance formation based on behavioral constraints. The “MiaoSuan-Wise Winning Instant Strategy Human-Computer Confrontation Platform” of Chinese Academy of Sciences (CAS) is used as an experimental platform to conduct confrontation experiments. The experiment demonstrates that the proposed method improves the dynamic coordination ability of …

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Research On Decision-Making Of Autonomous Driving In Highway Environment Based On Knowledge And Large Language Model, Xiang Wang, Guozhen Tan May 2025

Research On Decision-Making Of Autonomous Driving In Highway Environment Based On Knowledge And Large Language Model, Xiang Wang, Guozhen Tan

Journal of System Simulation

Abstract: Aiming at the lack of continuous learning and interpretability of current autonomous driving system, a decision model with cognition, generalization and learning ability is proposed. The model utilizes large language model (LLM) and attention mechanisms to understand and explain driving scenes. the system can accumulate and learn from driving experiences, continuously improving its decisionmaking ability. In a simulation environment, the closed-loop test decision model is applied in high-speed scenarios.The simulation results show that the success rate of the knowledge-driven model is 7% and 4% higher than those of the rule-based and data-driven methods. Additionally, the model exhibits generalization and …

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Sustainability In The Cruising Industry: Innovations In Air Quality, Energy Efficiency, And Waste Management, Fikret Durmus, Mi Ran Kim May 2025

Sustainability In The Cruising Industry: Innovations In Air Quality, Energy Efficiency, And Waste Management, Fikret Durmus, Mi Ran Kim

ICHRIE Research Reports

The cruise industry, a cornerstone of the global hospitality and tourism sector, faces increasing scrutiny over its environmental impact. As passenger numbers grow, so does the industry's responsibility to adopt sustainable practices. This report examines key innovations in air quality management, energy efficiency, and waste management, highlighting the industry's transition from historically high emissions and waste production to advanced sustainability initiatives. Key focus areas include evolving maritime regulations, adopting cleaner propulsion technologies, integrating energy-efficient solutions, and improving waste treatment practices. Findings indicate that industry leaders are investing in liquefied natural gas engines, exhaust gas cleaning systems, and onshore power supply …

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Development And Evaluation Of A Simple Human Body Link Model Considering The Degrees-Of-Freedom Of Shoulders, Mizuki Takeda, Yuki Saito, Kaiji Sato May 2025

Development And Evaluation Of A Simple Human Body Link Model Considering The Degrees-Of-Freedom Of Shoulders, Mizuki Takeda, Yuki Saito, Kaiji Sato

Progress in Scale Modeling, an International Journal

Modeling of the human body is widely utilized in the field of human–robot interaction, warranting the development of a simple model to measure and recognize the human body movements. To this end, a two-dimensional (2D) human body link model in the sagittal plane has been used to represent the human body with rotating joints and links connecting these joints. The joint positions can be determined by using the coordinates of a limited number of points on the links and estimated using a few sensor outputs when the links are of constant length. However, models with constant link lengths may result …

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Retracted: Enhancing Project Tracking Through Microsoft Power Platform Automation: A Case-Based Study Using Power Bi, Pirsab R. Attar, Quadri Ibad Ali, Arif Varsi, Khalid Sayed, Sameer Usmangani Sayyad May 2025

Retracted: Enhancing Project Tracking Through Microsoft Power Platform Automation: A Case-Based Study Using Power Bi, Pirsab R. Attar, Quadri Ibad Ali, Arif Varsi, Khalid Sayed, Sameer Usmangani Sayyad

AUIQ Technical Engineering Science

Microsoft Power BI and Power Automate enhances project tracking by improving data accuracy, reducing manual effort, and delivering timely insights. The automation-driven approach leads to significant time savings and fewer reporting errors, contributing to more efficient and informed project management. Despite the availability of digital tools, there is limited research on unified frameworks that combine automation, data visualization, and real-time feedback for holistic project management. This study addresses this gap by evaluating an integrated system applied to a real-world project over one fiscal year, offering practical insights and measurable outcomes. Present study explores how Power BI enhances data accuracy and …

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A Framework For Establishing An Automated Traffic Violation Detection System In New Assiut City Using Ordinary Cctv Units, Mahmoud Owais, Ali Shehata, Abdou Shaband, Ghada S. Moussa May 2025

A Framework For Establishing An Automated Traffic Violation Detection System In New Assiut City Using Ordinary Cctv Units, Mahmoud Owais, Ali Shehata, Abdou Shaband, Ghada S. Moussa

Mansoura Engineering Journal

Violating traffic rules in transport networks is a genuine concern for operators as it is one of the most important causes of fatal accidents. With the increasing number of residents in the new cities in the Arab Republic of Egypt, and the incompleteness of the transportation system in those cities, including traffic signs, light signals, and control points, the possibility of committing such violations increases. The study aims to propose the framework for establishing an intelligent monitoring system in the new city of Assiut consisting of high-resolution cameras optimally distributed on the traffic network points in the city. They will …

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Designing An Economically Viable Off-Grid Photovoltaic System Considering The Battery Discharge Rate, Ahmed S. Abdelrazek, Eslam Mohamed Ahmed, Mahmoud Elsisi, Mokhtar Said May 2025

Designing An Economically Viable Off-Grid Photovoltaic System Considering The Battery Discharge Rate, Ahmed S. Abdelrazek, Eslam Mohamed Ahmed, Mahmoud Elsisi, Mokhtar Said

Mansoura Engineering Journal

The primary significance of harnessing power from clean and renewable sources lies in the fact that numerous rural areas are far from the utility system. Among the renewable energy technologies catering to power needs in residential areas is the solar photovoltaic (PV) system. Despite the potential of PV technology and the abundant sun radiation exposure in Hurghada, Egypt, there is a lack of empirical studies evaluating the feasibility of off-grid power production using this system. A notable aspect of this study is the consideration of the discharge rate of the battery for sizing the off-grid system, involving the distribution of …

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Egyptian Government Actions To Implement A Green, Smart, Secured And Sustainable City In Africa, Egypt To Host Cop27, Enas Samir, Eman Metwally May 2025

Egyptian Government Actions To Implement A Green, Smart, Secured And Sustainable City In Africa, Egypt To Host Cop27, Enas Samir, Eman Metwally

Mansoura Engineering Journal

Smart cities are essential for addressing globalization, urban overpopulation, and urban growth. This paper discusses the Egyptian government's strategies, policies, and procedures for transforming Sharm-Elsheikh city into a green, smart, safe, secured, and sustainable city. The research aims to learn from COP28 and export an action plan to convert the city from a touristic to a smart green, secure, and sustainable city. The main research question is how COP27 in Egypt will become the COP of implementation, and the hypothesis is that the current mindset for managing economic files may not be suitable for the new economic orientations.

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The Effects Of Internet Service Criteria On Institutional Performance, Mohammed Naji, Sivadass Thiruchelvam, Mohammed Khudari May 2025

The Effects Of Internet Service Criteria On Institutional Performance, Mohammed Naji, Sivadass Thiruchelvam, Mohammed Khudari

Iraqi Journal for Computer Science and Mathematics

Internet service today greatly affects individuals, companies, and organizations around the world, as the Internet contributes to many things such as facilitating procedures, reducing effort, and saving time. The instability of the Internet system is a major obstacle to the successful implementation of institutional plans, leading to many workflow problems, including delays in providing services to citizens and insufficient communication between the components of the institution. It also leads to a lack of information needed for decision-making, which negatively affects customer satisfaction and operational efficiency. There is a gap in the literature regarding the evaluation of the relationships between Internet …

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Advancing Lymphoma Diagnosis In Histopathology Image Classification Using Multi Deep Learning Models, Ahmed Elaraby, Andrey Nechaevskiy, Aymen Saad May 2025

Advancing Lymphoma Diagnosis In Histopathology Image Classification Using Multi Deep Learning Models, Ahmed Elaraby, Andrey Nechaevskiy, Aymen Saad

Iraqi Journal for Computer Science and Mathematics

Deep learning's rapid development is generating significant interest in its potential to improve medical imaging. It has shown promising results in detecting malignant lymphoma in histopathology medical images. Image classification methods are widely used to aid in making diagnoses from medical images. In recent years, deep learning methods have achieved high performance in detecting malignant lymphoma in histopathology images. This study proposes a novel approach to improving lymphoma diagnosis in histopathology images called the Lightweight Convolutional Neural Network (LWCNN). The proposed LWCNN model comprises multiple deep learning architectures, including a convolutional neural network (CNN) that has been trained to classify …

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Improved Harmony Search Algorithm For Sdn Controller Placement, Yousra Abdul Alsahib S. Aldeen, Ahmed T. Sadiq, Abeer E. Abed, Omar F. Hussain, Syed Hamid Hussain Madni May 2025

Improved Harmony Search Algorithm For Sdn Controller Placement, Yousra Abdul Alsahib S. Aldeen, Ahmed T. Sadiq, Abeer E. Abed, Omar F. Hussain, Syed Hamid Hussain Madni

Iraqi Journal for Computer Science and Mathematics

The Software-Defined Networking (SDN) paradigm decouples the control and the data plane. One of the most significant challenges in this paradigm is SDN controller placement optimization, since improper placement may dramatically influence latency, load balancing, and network resilience. The paper proposes the Improved Harmony Search Algorithm (IHSA) as a new approach for the placement of SDN controllers. To overcome the disadvantages of conventional optimization methods like HSA, GA, and PSO, adaptive parameter tuning, dynamic harmony memory management, and updating rules for enhanced memory are incorporated into the IHSA. The complete simulations of IHSA over small, medium, and large-scale SDN topologies …

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Preliminary Study: Minimizing The Gap Between Pre-And Post-Spaceflight, Caleb E. Scheideger, Louis A. Diberardino May 2025

Preliminary Study: Minimizing The Gap Between Pre-And Post-Spaceflight, Caleb E. Scheideger, Louis A. Diberardino

Aurora

Long-duration space missions pose significant challenges to astronaut health, primarily due to the detrimental effects of microgravity on musculoskeletal and cardiovascular systems. This research proposal aims to address the critical gap between pre- and post-spaceflight physiological conditions, focusing on the marked decline in muscle mass, bone density, and cardiovascular function. Existing countermeasures, such as resistive exercise, are insufficient to prevent muscle atrophy and bone demineralization, highlighting the need for novel solutions. Neuromuscular Electrical Stimulation (NMES) emerges as a promising intervention, capable of eliciting muscle contractions to maintain function and mitigate atrophy. By integrating NMES into existing exercise regimens, we hypothesize …

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Praxly: An Online Ide For The Praxis Cs Test Pseudocode, Benjamin Saupp May 2025

Praxly: An Online Ide For The Praxis Cs Test Pseudocode, Benjamin Saupp

James Madison Undergraduate Research Journal (JMURJ)

No abstract provided.

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Effect Of The Multi-Elements On The Aerodynamic Performance Of Airfoil, Shereen Sibie, Tayeb Brahimi May 2025

Effect Of The Multi-Elements On The Aerodynamic Performance Of Airfoil, Shereen Sibie, Tayeb Brahimi

Effat Undergraduate Research Journal

The design of an airfoil in the wind turbine and optimizing the blades is fundamental in a wind turbine aerodynamic performance. In this paper, the effect of the multiple multi-elements on the aerodynamic performance of airfoil is investigated. These multi-element configurations are expected to offer better performance of the wind turbine by maximizing the lift and drag coefficients. Based on the case studies analysis, the multi-elements have shown that the modified design results in high values of the power coefficient at low-speed ratios. This effect is attributed to the cancelation of the negative torque on the turbine rotor observed at …

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Calculating The Radius Of The Earth Using Sunset Method: Comparison With Al-BīRūNi Method, Jana Kamal, Tayeb Brahimi May 2025

Calculating The Radius Of The Earth Using Sunset Method: Comparison With Al-BīRūNi Method, Jana Kamal, Tayeb Brahimi

Effat Undergraduate Research Journal

This paper attempts to compare the earth's radius calculation based on the sunset or sunrise (moonset or moonrise) with the Method developed by the scientist Al-Bīrūni. The sunset sunrise method is used to calculate the earth radius by standing in front of a flat horizontal plane. In addition, the authors have use Al-Bīrūni's rule to calculate the radius. Furthermore, the error percent of both Al-Bīrūni and the sunset sunrise method were calculated as well. The results showed that the earth actual radius is 6371 km. Eratosthenes radius which is 6366 km is the closest to the actual earth radius, then …

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Fundus Retinal Images And Glaucoma Detection, Lama Alsabban, Malak Alnahdi, Nema Salem May 2025

Fundus Retinal Images And Glaucoma Detection, Lama Alsabban, Malak Alnahdi, Nema Salem

Effat Undergraduate Research Journal

Abstract. Glaucoma is a severe eye disease that has no symptoms and, globally, it is the second cause of blindness. Glaucoma causes structural changes in the retina that make ophthalmologists detecting the disease in early stage and thus provide the suitable treatment. Fundus camera is an imaging technique that provides the fundus image showing the internal structure of retina. Our project provides an automated system for early detection of Glaucoma. The proposed system based MATLAB starts by acquiring the fundus image, followed by preprocessing stage, going through noise removal, enhancement, segmentation, feature extraction and ends up by the classification stage. …

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A Wireless Flex Sensors Based Man-Machine Interface, Maram F. Badkook, Razan A. Alshehri, Saeed Qaiser May 2025

A Wireless Flex Sensors Based Man-Machine Interface, Maram F. Badkook, Razan A. Alshehri, Saeed Qaiser

Effat Undergraduate Research Journal

Abstract. The recent technological advancements are focusing on developing the smart systems to facilitate the subscribers and to improve their lifestyle. The machine learning algorithms and artificial intelligence are becoming the elementary tools, which are used in the establishment of modern smart systems across the globe. In this study, a flex sensors-based Man to Machine Interface (MMI) is proposed. It is beneficial for a category of people with reduced mobility or special needs like deaf, dumb, parallelized, etc. The system prototype is realized by using an array of flex sensors and a front-end processor, wirelessly connected to the central processing …

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Retracted: Data Envelopment Analysis Using Stochastic Frontier Analysis And Bootstrap Confidence Intervals, Fahad F. Alqahtani May 2025

Retracted: Data Envelopment Analysis Using Stochastic Frontier Analysis And Bootstrap Confidence Intervals, Fahad F. Alqahtani

Iraqi Journal for Computer Science and Mathematics

Evaluating company growth potential has moved away from traditional financial focused ratios and ratios analysis that has origins in the early twentieth-century economics. However, these conventional methods might not be accurate in measuring such efficient factors as this combined proposed framework of Data Envelopment Analysis (DEA) and improved mathematical models do. The present research focuses on the prospect of growth of companies through evaluating the performance of 40 DMUs in terms of efficiency DEA and MMTs. DEA is used to determine the efficient DMUs while SFA underline the factors such as investment on research and development, effective marketing strategies and …

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A Hybrid Technique For Approximating The Solution Of Fractional Order Partial Integro-Differential Equations, Ahmed K. Mohsin, Fajir A. Abdulkhaleq, Osama H. Mohammed May 2025

A Hybrid Technique For Approximating The Solution Of Fractional Order Partial Integro-Differential Equations, Ahmed K. Mohsin, Fajir A. Abdulkhaleq, Osama H. Mohammed

Iraqi Journal for Computer Science and Mathematics

In this paper, we discuss the numerical solution of fractional order partial integro-differential equations. The type of fractional derivative used is a Caputo derivative. The method proposed in this paper known as transform optimal perturbation iteration method. This method combines the optimal perturbation iteration method and the Laplace transform in order to converge to the exact solution. The proposed method is highly efficient and provides the means of controlling the approximate solutions convergence. Illustrative examples prove that the suggested approach is very accurate when compared with the exact solution and the results of the existing methods.

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A Hierarchical Soft Computational Model For Optimizing Agricultural Uavs: Recruiting Neutrosophic Theory And Tree Soft Sets, Mona Mohamed, Nurhan Alaa, Bilal Arain, Karam M. Sallam May 2025

A Hierarchical Soft Computational Model For Optimizing Agricultural Uavs: Recruiting Neutrosophic Theory And Tree Soft Sets, Mona Mohamed, Nurhan Alaa, Bilal Arain, Karam M. Sallam

Neutrosophic Systems with Applications

Precision agriculture is being transformed by Unmanned Aerial Vehicles (UAVs), which make it possible for yield optimization, targeted spraying, and sophisticated crop monitoring. With an emphasis on their operational capabilities, economic feasibility, and environmental implications, this research explores the revolutionary potential of UAV technology in contemporary farming systems. Practically speaking, the procedure of opting UAVs for agricultural applications is complicated by several competing aspects, inherent uncertainties, and differing stakeholder agendas. This paper suggests a new hybrid decision framework that combines Tree Soft Sets (TrSS), Neutrosophic theory, and Multi-Criteria Decision-Making (MCDM) to methodically handle these issues. Hence, the robust hybrid model …

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Towards Explainable And Robust Nlp: Neutrosophic Probability Augmentation In Text Classification, Nabil M. Abdel-Aziz, Mahmoud Ibrahim, Khalid A. Eldrandaly May 2025

Towards Explainable And Robust Nlp: Neutrosophic Probability Augmentation In Text Classification, Nabil M. Abdel-Aziz, Mahmoud Ibrahim, Khalid A. Eldrandaly

Neutrosophic Systems with Applications

The rapid growth of textual data necessitates advanced text classification models. However, traditional methods struggle with ambiguity and uncertainty in natural language, reducing classification reliability. To address this, we integrate neutrosophic logic, which explicitly models truth, indeterminacy, and falsity, into a DistilBERT-based text classification framework. Additionally, we employ data augmentation using synonym replacement to enhance generalization. Our approach is evaluated on the AG News dataset, classifying articles into four categories: World, Sports, Business, and Science/Technology. By incorporating neutrosophic attributes, the proposed framework assesses text quality, mitigates uncertainty, and improves robustness against ambiguous inputs. Experimental results demonstrate an accuracy of 94.10%, …

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Triple-Valued Neutrosophic Set, Quadruple-Valued Neutrosophic Set, Quintuple-Valued Neutrosophic Set, And Double-Valued Indetermsoft Set, Takaaki Fujita May 2025

Triple-Valued Neutrosophic Set, Quadruple-Valued Neutrosophic Set, Quintuple-Valued Neutrosophic Set, And Double-Valued Indetermsoft Set, Takaaki Fujita

Neutrosophic Systems with Applications

Concepts such as Fuzzy Sets, Neutrosophic Sets, Rough Sets, and Plithogenic Sets have been extensively studied to address uncertainty, finding diverse applications across various fields. A Double-Valued Neutrosophic Set (DVNS) extends traditional neutrosophic sets by introducing two distinct indeterminacy components: one leaning towards truth and the other towards falsity. In this paper, we explore Triple-Valued Neutrosophic Sets, Quadruple-Valued Neutrosophic Sets, and Quintuple-Valued Neutrosophic Sets, as well as an extension of the Indetermsoft Set, termed the Double-Valued Indetermsoft Set. Note that related concepts such as the Multi-Valued Neutrosophic Set and the n-Valued Refined Neutrosophic Set have already been established.

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Remaining Life Analysis Of Pipeline Gas With Extreme Value Theory, Rony Prayitno Simeon, Eddy Sumarno Siradj, Tedi Kurniawan May 2025

Remaining Life Analysis Of Pipeline Gas With Extreme Value Theory, Rony Prayitno Simeon, Eddy Sumarno Siradj, Tedi Kurniawan

Journal of Materials Exploration and Findings

Energy and chemical companies use pipelines to transfer oil, gas, and other materials from one place to another, within and between their plants. Pipeline integrity is an important concern because pipeline leakage could result in serious economic or environmental losses. Some research has applied to understand the effect of extrapolation value of the minimum thickness of pipeline by using the Extreme Value Theory. In this research, both statistical models and Extreme Value methods were applied and developed for the reliability of the pipeline by assuming the constant corrosion rate and deviation due to measuring devices were neglected. The research obtained …

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