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Multi-Scale Source-Sink Matching And Transportation Route Optimization For Geologic Co2 Sequestration Of Industrial Co2 Stationary Sources In Jiangsu Province, Tian Yuchen, Liu Shiqi, Zhang Helong, Mo Hang, Wang Dexi, Sang Shuxun, Wang Jun, Wang Wenkai, Zheng Sijian Jan 2026

Multi-Scale Source-Sink Matching And Transportation Route Optimization For Geologic Co2 Sequestration Of Industrial Co2 Stationary Sources In Jiangsu Province, Tian Yuchen, Liu Shiqi, Zhang Helong, Mo Hang, Wang Dexi, Sang Shuxun, Wang Jun, Wang Wenkai, Zheng Sijian

Coal Geology & Exploration

Objective CO2 stationary sources tend to show a dispersed distribution, while carbon sinks are concentrated in specific sedimentary basins. The resulting significant source-sink mismatch in space restricts the large-scale applications of carbon capture, utilization, and storage (CCUS) technology. Therefore, reducing CCUS costs by investigating source-sink matching and optimizing CO2 transportation routes under a multi-scale spatial framework is the key to the engineering applications of CCUS. Methods Targeting representative industrial CO2 stationary sources and carbon sinks in Jiangsu Province, this study established source-sink matching models on multiple scales covering hydrocarbon reservoirs, sags, and basins. Based on both the …

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Reaction Mechanisms During Co2 Absorption In Ethanolamine Solutions, Teng Weiwei, Wu Yan, Fan Yuxin, Liao Tao, Wang Zicheng, Yu Hui, Li Meng, Xu Xiaoling Jan 2026

Reaction Mechanisms During Co2 Absorption In Ethanolamine Solutions, Teng Weiwei, Wu Yan, Fan Yuxin, Liao Tao, Wang Zicheng, Yu Hui, Li Meng, Xu Xiaoling

Coal Geology & Exploration

Objective Presently, CO2 capture technology based on the ethanolamine solutions suffers from drawbacks such as high energy consumption and elevated costs. A primary method to address these challenges is to construct blended amine solutions by synergistically integrating the absorption and desorption advantages of different types of ethanolamines. Hydroxyethyl ethylenediamine (AEEA) and N-methyldiethanolamine (MDEA) represent two major commonly used absorbents, and their blending necessitates an accurate understanding of their CO2 absorption patterns, including CO2 loading capacity, the ion-concentration distribution patterns of reaction products, and reaction orders. Currently, their absorption mechanisms remain poorly understood, and there is a lack …

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Concept Of Cccus Technology For Co2 Recycling In Deep Unmineable Coal Seams, Liang Weiguo, Yan Jiwei, Zhu Dijie, Guo Hongguang, Gong Li, Niu Dong Jan 2026

Concept Of Cccus Technology For Co2 Recycling In Deep Unmineable Coal Seams, Liang Weiguo, Yan Jiwei, Zhu Dijie, Guo Hongguang, Gong Li, Niu Dong

Coal Geology & Exploration

Background China possesses substantial resources of deep unmineable coal seams, which hold considerable potential for CO2 sequestration. However, simply sequestrating CO2 in deep coal seams incurs high economic costs while also wasting deep coal resources. The microbial conversion of sequestrated CO2 into methane (CH4) enables circular carbon capture, utilization, and storage (CCCUS), which is of great significance for the sustainable development of both resources and the environment.Methods Using a range of methods, including experimental study, theoretical analysis, and engineering simulations, CCCUS in deep unmineable coal seams is designed to (1) reveal the mechanisms behind …

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A Method Of Carbon Emission Accounting And Pathways Of Emission Reduction Through Reduction Through Ccus For Underground Coal Mines, Xu Shen, Wang Meng, Dai Xuguang, Qiu Yuxin, Tuo Jialong, Li Wenhao, Gao Jie Jan 2026

A Method Of Carbon Emission Accounting And Pathways Of Emission Reduction Through Reduction Through Ccus For Underground Coal Mines, Xu Shen, Wang Meng, Dai Xuguang, Qiu Yuxin, Tuo Jialong, Li Wenhao, Gao Jie

Coal Geology & Exploration

Objective Coal production and utilization lead to substantial carbon emissions, and the carbon emissions from underground coal mines have attracted increasing attention. However, research on emission reduction pathways in coal mines remains nascent. Methods The Y Coal Mine was investigated in this study. Using methods including life cycle assessment (LCA), emission factor approach, and monitoring, this study identified the boundaries for carbon emission accounting and determined the sources, total amount, and characteristics of carbon emissions from the coal mine. Furthermore, a framework of carbon emission reduction through CCUS was established based on the principle of carbon capture, utilization, and storage …

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Performance And Carbonation Mechanisms Of Multi-Source Solid Waste-Based Carbon-Sequestering Backfill Materials For Coal Mines, Guo Qingwen, Li Dongyin, Wang Shen, Liu Songhui, Li Quanjiang, Li Song Jan 2026

Performance And Carbonation Mechanisms Of Multi-Source Solid Waste-Based Carbon-Sequestering Backfill Materials For Coal Mines, Guo Qingwen, Li Dongyin, Wang Shen, Liu Songhui, Li Quanjiang, Li Song

Coal Geology & Exploration

Objective The reutilization of solid waste such as coal gangue and steel slag is critical to green mining. Preparing solid waste-based carbon-sequestering backfill materials and then filling them into coal mine goaves emerge as an important approach to solid waste utilization, carbon emission reduction, and green coal mining.Methods Based on the designed mix proportions of a high-solid-waste system consisting of steel slag and coal gangue, in which steel slag was used to compensate for the insufficient carbonation reactivity of coal gangue, this study prepared solid waste-based backfill material samples composed of coal gangue, steel slag, and cement. Through mechanical …

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Huff-N-Puff Experiments Of Mixed Co2 And Formation Water For Enhanced Oil Recovery Of Shale Oil In The Subei Basin, Xiao Pufu, Zhang Jie, Yang Zhengmao, Wang Rui, Cui Maolei, Lei Mengmeng, Tian Yunfei, Zeng Jun, Liu Yuwei Jan 2026

Huff-N-Puff Experiments Of Mixed Co2 And Formation Water For Enhanced Oil Recovery Of Shale Oil In The Subei Basin, Xiao Pufu, Zhang Jie, Yang Zhengmao, Wang Rui, Cui Maolei, Lei Mengmeng, Tian Yunfei, Zeng Jun, Liu Yuwei

Coal Geology & Exploration

Objective In the Subei Basin, the depletion-drive development of shale oil following reservoir volume fracturing faces challenges such as rapid production decline and low oil recovery. To address these issues, this study explored an experimental method of CO2 + formation water (also referred to as carbonated water) huff and puff for enhanced oil recovery (EOR) by combining the felsic, clayey, and organic-rich characteristics of shale oil reservoirs in the Subei Basin, along with CO2 high pressure quality exchange technology. Methods Through multiple physical simulation experiments in the laboratory, combined with nuclear magnetic resonance (NMR) experiment technology, this study …

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Numerical Simulation Of Co2 Sequestration Combined With Enhanced Geothermal Energy Extraction In Deep Saline Aquifers, Xie Zehao, Zhang Liehui, Zhao Yulong, Cao Cheng, Kou Zuhao, Zhang Deping, Li Jinlong Jan 2026

Numerical Simulation Of Co2 Sequestration Combined With Enhanced Geothermal Energy Extraction In Deep Saline Aquifers, Xie Zehao, Zhang Liehui, Zhao Yulong, Cao Cheng, Kou Zuhao, Zhang Deping, Li Jinlong

Coal Geology & Exploration

Objectives and Methods Deep saline aquifers represent ideal spaces for geologic CO2 sequestration while also featuring high geothermal gradients and abundant geothermal resources. The combination of CO2 sequestration and geothermal energy extraction holds great significance for enhancing the CO2 sequestration effect and achieving integrated resource development of deep saline aquifers. Therefore, this study proposed a development approach that combined CO2 sequestration with geothermal energy extraction in deep saline aquifers and established a thermo-hydro-chemical coupling numerical simulation model of the gas-water two-phase flow. Accordingly, it explored the optimal injection mode, production and injection well patterns, and injection …

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Numerical Simulations Of The Impacts Of Co2-Induced Calcite Dissolution On The Permeability And Elastic Parameters Of Rocks, Yang Bo, Xu Tianfu, Feng Guanhong, Zhu Huixing Jan 2026

Numerical Simulations Of The Impacts Of Co2-Induced Calcite Dissolution On The Permeability And Elastic Parameters Of Rocks, Yang Bo, Xu Tianfu, Feng Guanhong, Zhu Huixing

Coal Geology & Exploration

Objective CO2 dissolution in water tends to induce mineral reactions, thus significantly changing the pore structure of rocks and further affecting their seepage and mechanical properties. This phenomenon poses a major impact on the suitability and long-term safety of geologic CO2 sequestration engineering. Methods Using a simulation technology that combines the lattice Boltzmann method (LBM) and the finite element method (FEM), this study systematically investigated the calcite dissolution characteristics of calcite-bearing rock samples under varying injection rates of a saturated solution of CO2. Furthermore, the dynamic evolution patterns of the permeability and elastic parameters (bulk and …

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Advances And Prospects Of Research On In Situ Co2 Mineralization Storage In Basalts, Wang Xiao, Wu Bin, Shi Xiangchao, Ye Zhongbin, Wei Bing, Wang Guanhua, Alvarado Vladimir, Huang Kailin, Yang Zeyong Jan 2026

Advances And Prospects Of Research On In Situ Co2 Mineralization Storage In Basalts, Wang Xiao, Wu Bin, Shi Xiangchao, Ye Zhongbin, Wei Bing, Wang Guanhua, Alvarado Vladimir, Huang Kailin, Yang Zeyong

Coal Geology & Exploration

Background CO2 storage in basalts, enjoying distinct advantages of rapid mineralization and high safety, has gradually emerged as a hot research topic both in China and abroad. This study presents a systematic review of the current status of research on the mechanisms of in situ CO2 mineralization storage, the evolutionary characteristics of the physical properties of strata under the condition of mineralization reactions, and representative demonstration projects. On this basis, the future research directions are proposed. Advances The in situ CO2 mineralization storage in basalts is essentially a process of CO2-water-rock reactions, achieved primarily through …

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Advances In Research On The In Situ Co2 Mineral Trapping In Buried Volcanoes, He Yanxin, Tian Wei, Xian Benzhong, Liu Pingping, Wei Mingcong, Wei Qiwen, Deng Xuanyu, Liu Jianping, Gu Jiapeng Jan 2026

Advances In Research On The In Situ Co2 Mineral Trapping In Buried Volcanoes, He Yanxin, Tian Wei, Xian Benzhong, Liu Pingping, Wei Mingcong, Wei Qiwen, Deng Xuanyu, Liu Jianping, Gu Jiapeng

Coal Geology & Exploration

Objective and Methods Driven by the goal of carbon neutrality, geologic CO2 storage has become a critical national priority in China. Compared to conventional reservoirs in sedimentary basins, such as saline aquifers, depleted hydrocarbon reservoirs, and unmineable coal seams, basaltic formations offer more significant advantages in geologic CO2 storage. Specifically, basaltic formations can form stable carbonates through reactions between CO2 and rock minerals while also exhibiting extensive distribution, considerable potential for CO2 storage, and low risk of CO2 leakage. The engineering feasibility of geologic CO2 storage in basaltic formations has been validated by the …

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Advances In Research On Geochemistry Of Co2 Storage In Basalts: Microscopic Mechanisms And Reaction Pathways, Ma Shijia, Xia Changyou, Gao Zhihao, Rui Zhenhua, Liang Xi Jan 2026

Advances In Research On Geochemistry Of Co2 Storage In Basalts: Microscopic Mechanisms And Reaction Pathways, Ma Shijia, Xia Changyou, Gao Zhihao, Rui Zhenhua, Liang Xi

Coal Geology & Exploration

Objective and Method The urgent need to reduce global greenhouse gas emissions has driven the development of CO2 mineral trapping in basalts. To gain further insights into the microscopic mechanisms and reaction pathways of the mineral trapping, this study systematically reviews the geochemical reaction mechanisms involved, with a particular focus on the differences in reaction pathways between supercritical and dissolved CO2 injection, the coupling between mineral dissolution and carbonate precipitation, and the key factors influencing these reactions. Advances In the case of supercritical CO2 injection, CO2 mineral trapping is achieved through multi-step coupling reactions in nanoscale …

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Fuzzy Pi Controller For Frequency Control Of A Diesel-Pv-Battery-Based Islanded Ac Microgrid, M. S. Elborlsy, Ramadan M. Mostafa, Hossam E. Keshta, Mohamed A. Ghalib Jan 2026

Fuzzy Pi Controller For Frequency Control Of A Diesel-Pv-Battery-Based Islanded Ac Microgrid, M. S. Elborlsy, Ramadan M. Mostafa, Hossam E. Keshta, Mohamed A. Ghalib

Mansoura Engineering Journal

Effective management of modern electrical grids requires intelligent and adaptable control mechanisms to effectively balance power supply and demand, particularly in times of significant disturbances. Microgrids predominantly harness renewable energy sources (RES), which are inherently variable, for electricity generation. However, due to these fluctuations, conventional control systems often struggle to optimize performance under diverse operational conditions. This study addresses the need for improved frequency regulation in isolated AC microgrids (MGs) by proposing a fuzzy PI (FPI) controller capable of dynamically adjusting control strategies to accommodate disturbances such as three-phase faults, sudden changes in load, and variations in solar irradiance. A …

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Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng Jan 2026

Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng

Journal of Aviation Technology and Engineering

This study evaluates the effectiveness of log transformation in enhancing multiple regression models used to forecast air traffic movements (ATMs) in South Africa during the COVID-19 pandemic. Using 60 monthly observations from October 2016 to September 2021, the analysis incorporates variables such as revenue, lockdown levels, COVID-19 metrics, exchange rates, gross domestic product, and population. Two models are compared: one using raw ATMs and another with log-transformed ATMs as the dependent variable.

While the untransformed model shows stronger explanatory power (R² = 0.904, adjusted R² = 0.891) compared to the log-transformed model (R² = 0.772, adjusted R² = 0.741), the …

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Advanced Qualification Program Assessments In Aviation Higher Education: A Theoretical Framework, Jorge L. D. Albelo Ph.D., Victor M. Fraticelli Rivera Ph.D. Jan 2026

Advanced Qualification Program Assessments In Aviation Higher Education: A Theoretical Framework, Jorge L. D. Albelo Ph.D., Victor M. Fraticelli Rivera Ph.D.

Journal of Aviation Technology and Engineering

This study investigates the integration of an Advanced Qualification Program (AQP)-centered approach into aviation higher education, aiming to refine assessment methods and enhance the educational experience of future aviation professionals. Guided by research questions exploring the strengths, limitations, key characteristics, and potential improvements of AQP-centered assessments, the study reveals a strong consensus among students and faculty. The AQP model, traditionally an alternative to conventional pilot training under 14 CFR Parts 121 and 135, offers a structured, industry-relevant framework emphasizing clear evaluation processes, multilevel knowledge and skill assessments, and high academic performance. Findings indicate that effective AQP assessments balance theoretical knowledge, …

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Angular Scanning Method For Efficient Maximum Power Point Tracking, Saikot Hossain Dadon Jan 2026

Angular Scanning Method For Efficient Maximum Power Point Tracking, Saikot Hossain Dadon

Student Theses and Dissertations

The Photovoltaic System (PV) is one of the widely used sources of renewable energy. There are various control mechanisms to manipulate the PV system. However, one of the major control mechanisms is Maximum Power Point Tracking (MPPT) to extract the maximum power from the solar panel. The solar power is intermittent and stochastic in nature due to the unpredictable sunlight exposure to the solar panel and temperature variance throughout the day and year. Consequently, the PV module does not run at Maximum Power Point (MPP) naturally; therefore, an MPPT controller is utilized so that the solar panel runs in the …

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Ai-Driven Automatic Fault Detection Systems: Revolutionizing Modern Smart Grids, Aravind Sanikommu Jan 2026

Ai-Driven Automatic Fault Detection Systems: Revolutionizing Modern Smart Grids, Aravind Sanikommu

Student Theses and Dissertations

The increasing complexity of current power systems, resulting from the integration of distributed generators and renewable energy sources, necessitates intelligent and adaptive fault detection schemes. Traditional protection using impedance and phasor analysis is usually weak when operating in nonlinear and transient operating conditions. Consequently, the tools of Data-driven fault classification and decision-making have gained strength under artificial intelligence (AI) and machine learning (ML) to improve grid reliability. This thesis is a proposal of an automatic fault detection and classification system based on AI applied to a smart mini-grid setting built in MATLAB/Simulink. A complete set of voltage and current data …

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Advanced Control Strategy For Photovoltaic Dc Microgrids Using Model Predictive Control With Rl Filter Enhancement, Yagub Suleymanov Jan 2026

Advanced Control Strategy For Photovoltaic Dc Microgrids Using Model Predictive Control With Rl Filter Enhancement, Yagub Suleymanov

Student Theses and Dissertations

This thesis presents the modeling and control of a photovoltaic (PV)-based DC microgrid using MATLAB/Simulink. A DC–DC converter with a buck stage is employed to perform a better maximum power point tracking (MPPT) and voltage regulation from PV panel. Predictive control method (MPC) algorithm will be employed, which offers faster transient response and reduced oscillations compared to traditional techniques. Considering the existing works, this study introduces an additional RL filter branch to further improve the stability of the regulated DC bus voltage combining MPC method and Incremental Conductance Maximum Power Point Tracking (IC-MPPT) algorithm. To ensure stable operation of the …

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Spline-Based Factor-Graph Optimization With High-Grade Inertial Sensors, Kyle Leland, Clark N. Taylor, David Woodburn, Randal Beard Jan 2026

Spline-Based Factor-Graph Optimization With High-Grade Inertial Sensors, Kyle Leland, Clark N. Taylor, David Woodburn, Randal Beard

Faculty Publications

Inertial measurement units (IMUs) are central to global navigation satellite system-based and alternative navigation solutions. This paper combines three lines of research to explore a novel methodology for using inertial sensors: factor graphs, spline-based trajectory estimation, and high-grade inertial sensing. Spline-based factor-graph trajectory estimation is increasingly used in the literature, especially for asynchronous or high-rate sensors. However, prior models neglect the impact of the Earth’s rotation, which is significant for high-grade IMUs. We extend spline-based factor graphs to incorporate accelerometer and gyroscope models that account for the Earth’s rotation. We apply this approach to simulated data from high-grade inertial sensors …

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Design Concept For Low-Cost Management Of Early Medial Or Lateral Osteoarthritis, Charles F. Babbs Jan 2026

Design Concept For Low-Cost Management Of Early Medial Or Lateral Osteoarthritis, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Background: Asymmetrical joint space narrowing occurs in many cases of knee osteoarthritis (OA). The objective of the present study is to elucidate the biomechanics of lateral wedges in shoes used to widen the medial joint space in predominantly medial OA, and the biomechanics of medial wedges in shoes used to widen the lateral joint space in predominantly lateral OA. Methods: Medial or lateral shift of the center of weight bearing of the foot is largely offset by movement of the flexible hip joint, which changes the tilt angle of the femoral head in the frontal plane. The altered tilt can …

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Developing A Collaborative Tool To Foster Communication In Sustainability Research, Nina Hunter, Noëlle-Laetitia Perret, Martin Klepal Jan 2026

Developing A Collaborative Tool To Foster Communication In Sustainability Research, Nina Hunter, Noëlle-Laetitia Perret, Martin Klepal

Electrical & Electronic Engineering

Climate change necessitates urgent responses based on knowledge produced by teams that transcend disciplinary boundaries, and with members whose work focuses on the generation of knowledge and on the application of knowledge, with some integrating both. Almost a third of Europe’s building stock consists of heritage buildings requiring renovation that is ideally sustainable as part of an energy transition response. The European transdisciplinary CALECHE study team with use-cases in France, Italy, Sweden and Switzerland aims to support decision-making on the sustainable renovation of heritage buildings, via research that employs co-design. However, team members are from various disciplines, with different skillsets …

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Performance Analysis Of Fuzzy-Pid Control For Single-Phase Interior Permanent Magnet Motors, Ogholo Michael, Akinloye Benjamin, Enivweru Edewor Jan 2026

Performance Analysis Of Fuzzy-Pid Control For Single-Phase Interior Permanent Magnet Motors, Ogholo Michael, Akinloye Benjamin, Enivweru Edewor

AUIQ Technical Engineering Science

This study presents an advanced performance analysis of a fuzzy-PID controller for Single-Phase Interior Permanent Magnet (IPM) motors using MATLAB/Simulink simulations. The fuzzy-PID controller dynamically adjusts its gains in real time via fuzzy logic, enhancing speed regulation and disturbance rejection while addressing the motor’s inherent nonlinearities and saliency effects. Performance comparisons with a conventional fixed-gain PID controller reveal that the fuzzy-PID achieves a 42% faster rise time, 68% lower overshoot, and reduced steady-state error (<0.8 rpm vs. ∼5.2 rpm for PID). Under ramp and sinusoidal inputs, the fuzzy-PID maintains lower tracking errors (∼7.5 rpm vs. ∼26 rpm for PID) and minimal phase lag (7° vs. 22° for PID). Robustness tests demonstrate superior disturbance rejection and faster recovery from load variations. The results confirm that fuzzy-PID control significantly improves transient response, accuracy, and adaptability for single-phase IPM motor drives, making it suitable for high-performance applications.

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Intelligent Control Strategies For Permanent Magnet Synchronous Motors: A Review, Ghufran Saad Mohammed, Mohammed Obaid Mustafa Jan 2026

Intelligent Control Strategies For Permanent Magnet Synchronous Motors: A Review, Ghufran Saad Mohammed, Mohammed Obaid Mustafa

AUIQ Technical Engineering Science

Permanent Magnet Synchronous Motors (PMSMs) have been widely employed in numerous applications, on account of their high efficiency, compact structure, and high-performance torque control. Nevertheless, the dynamic and uncertain control PMSMs under the action of system perturbation and variation is a difficult problem in the field of traditional control law by using Proportional Integral Derivative controller (PID),Field oriented control (FOC) and Direct Torque Control (DTC) etc. In this article, we offer a critical survey of intelligent control methods such as Fuzzy Logic Control (FLC), Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Evolutionary Algorithms (EAs) and discuss their advantages in accommodating …

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Crystal Structures, Optical Behavior, And Magnetic Properties In Hydrated Lanthanide Iron Sulfates, Chole Jones, Silu Huang, Tyler L. Spano, Eric A. Gabilondo, Mohammed Al-Fahdi, Kara Trim, Mary Douglas, Rongying Jin, Andrew Miskowiec, P. Shiv Halasyamani, Ming Hu, Jie Ling Jan 2026

Crystal Structures, Optical Behavior, And Magnetic Properties In Hydrated Lanthanide Iron Sulfates, Chole Jones, Silu Huang, Tyler L. Spano, Eric A. Gabilondo, Mohammed Al-Fahdi, Kara Trim, Mary Douglas, Rongying Jin, Andrew Miskowiec, P. Shiv Halasyamani, Ming Hu, Jie Ling

Faculty Publications

Single crystals of LnFe(SO4)3(H2O)2 (Ln = La, Ce, Pr, Nd, Sm, Eu, Gd, Dy, Ho, Er, Tm; compounds 1–11) and LnFe(SO4)3(H2O) (Ln = Tm, Yb, Lu; compounds 12–14) were synthesized under hydrothermal conditions. Single-crystal X-ray diffraction (SCXRD) analysis revealed that the dihydrated compounds (1–11) crystallize in centrosymmetric (CS) structures, with the lanthanide ions adopting eight-coordinate geometries. In contrast, the monohydrated compounds (12–14) exhibit noncentrosymmetric (NCS) structures, where the lanthanide ions are seven-coordinated. Vibrating sample magnetometry (VSM) confirmed that compounds 2, …

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Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib Jan 2026

Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib

Mansoura Engineering Journal

Credit Card Fraud Detection (CCFD) has become a critical challenge to financial security due to increasingly sophisticated fraudulent activities. This study investigates the effectiveness of Meta-Heuristic (MHT) optimization techniques in improving fraud detection (FD) through feature selection (FS) and model optimization. To address class imbalance, Random Under-Sampling (RUS) was applied. The selected feature subsets were evaluated using three machine learning (ML) classifiers—Decision Tree (DT), KNearest Neighbours (KNN), and XGBoost (Xgb-Tree)—across four benchmark datasets: European, Statlog (Australian Credit Approval), PaySim, and Credit Card Transactions Fraud Detection (CCTFD). Eleven binary MHT algorithms were implemented and compared. The comparative analysis shows that the …

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Intelligent Coordination Approach For Hybrid Renewable Energy Systems Towards Sustainable Power Supply, Olufisayo Stephen Babalola, Joseph Bukola Samson, Olatunji Waliu Olademeji, Samson Oladayo Ayanlade, Etinosa Noma-Osaghae, Opeyemi Ahmed Ajibola Jan 2026

Intelligent Coordination Approach For Hybrid Renewable Energy Systems Towards Sustainable Power Supply, Olufisayo Stephen Babalola, Joseph Bukola Samson, Olatunji Waliu Olademeji, Samson Oladayo Ayanlade, Etinosa Noma-Osaghae, Opeyemi Ahmed Ajibola

AUIQ Technical Engineering Science

This study developed a microcontroller-based system which coordinates and monitors hybrid renewable energy sources within a microgrid, providing an uninterrupted power solution for off-grid areas. Site data for wind speed, solar radiation, and load demand were collected and averaged into hourly intervals across seasons. A key novelty of this work is an intelligent coordination approach based on Sequential Quadratic Programming (SQP) that simultaneously determines economically viable system sizes and optimizes real time energy flow for adaptive, reliable, and cost-effective control. Mathematical models and size optimization were developed for all system components. This study proposes an intelligent coordination and optimal sizing …

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Intrusion Detection In Cloud Computing Using Support Vector Machine And Fast Firefly Algorithm, Ayobami Taiwo Olusesi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo, Ayo Isaac Oyedeji, Oluwaseyi Olawale Bello Jan 2026

Intrusion Detection In Cloud Computing Using Support Vector Machine And Fast Firefly Algorithm, Ayobami Taiwo Olusesi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo, Ayo Isaac Oyedeji, Oluwaseyi Olawale Bello

AUIQ Technical Engineering Science

Cloud computing has become popular due to the ongoing developments in the Internet and technical advancements. Users are increasingly storing their Web resources and data in the cloud environment due to the convenience and reduced cost of cloud computing services. Data security is crucial to the development of communication systems in cloud computing. Since data in cloud storage environments needs to be protected from intruders, network security in cloud environment has grown significantly in importance in recent years. In order to address these challenges, there is a need for an intrusion detection system (IDS) that can effectively identify malicious attack …

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3d Object Tracking Registration Based On Improved Rbot Method, Jiarui Zhou, Haihua Cui, Pengcheng Li, Shihao Gu, Huipu Hao, Xifu Zhao, Anan Zhao, Tao Jiang Jan 2026

3d Object Tracking Registration Based On Improved Rbot Method, Jiarui Zhou, Haihua Cui, Pengcheng Li, Shihao Gu, Huipu Hao, Xifu Zhao, Anan Zhao, Tao Jiang

Journal of System Simulation

Abstract: To address the limitations of region-based object tracking (RBOT) in handling isotropic objects and scenarios with similar foreground-background colors, an improved method integrating edge features is proposed. The approach employs edge detection to extract object contours and designs a region segmentation strategy incorporated into an energy function framework to optimize internal line and edge consistency, thereby enhancing adaptability in dynamic environments and improving pose estimation accuracy. Validation through augmented reality assembly experiments on an aero-engine demonstrates that the proposed method effectively reduces rotational and translational errors, achieving initialization deviations of less than 1.5° and 0.5%, respectively. For static …

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3d Reconstruction For Stadium Cad Drawings Based On Graphic Element Arrangement Pattern Analysis, Shang Ma, Mengyu Zhang, Lan Zhang, Gang Yang Jan 2026

3d Reconstruction For Stadium Cad Drawings Based On Graphic Element Arrangement Pattern Analysis, Shang Ma, Mengyu Zhang, Lan Zhang, Gang Yang

Journal of System Simulation

Abstract: To address the issue of the time-consuming and labor-intensive manual conversion of two-dimensional CAD design drawings of buildings into three-dimensional models, and leveraging the characteristic that stadiums contain a large number of repetitively and regularly arranged objects, this study proposes a similar graphical element detection algorithm. This algorithm detects similarities between graphical elements by constructing their bounding boxes and calculating the L2-Norm distance, identifying all graphical elements of the same type within the CAD drawing. Furthermore, a transformation sequence detection algorithm is proposed. Based on the geometric transformation relationships between graphical elements, a geometric transformation space is defined. By …

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Visual Relocalization Method Combining Region Classification And Local Feature Enhancement, Yining Wang, Yanli Liu, Guanyu Xing Jan 2026

Visual Relocalization Method Combining Region Classification And Local Feature Enhancement, Yining Wang, Yanli Liu, Guanyu Xing

Journal of System Simulation

Abstract: Visual relocalization tasks have important application value in fields such as digital twin and augmented reality. The current mainstream methods still face challenges such as mismatch between coordinate regression scale and receptive field and insufficient attention to local information. A visual relocalization method that combines region classification and local feature enhancement is proposed. The coordinate regression problem in large space is transformed into a multi-region classification problem and a coordinate regression problem inside a small scene, which significantly reduces the uncertainty of coordinate regression and makes the network globally have a large receptive field. A conditioning layer using deep …

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Diffusion Model For Human Motion Generation With Fine-Grained Text And Spatial Control Signals, Binze Jiang, Wenfeng Song, Xia Hou, Shuai Li Jan 2026

Diffusion Model For Human Motion Generation With Fine-Grained Text And Spatial Control Signals, Binze Jiang, Wenfeng Song, Xia Hou, Shuai Li

Journal of System Simulation

Abstract: To improve the accuracy, controllability, and realism of text-driven human motion generation, a novel method is proposed that integrates fine-grained textual semantics with spatial control signals. Within the diffusion model framework, both global text tokens and body-part-level local tokens are introduced. These are encoded using CLIP to obtain corresponding features, which are then fed into the motion diffusion model to enable fine control over different body parts. Spatial guidance is used to dynamically adjust joint positions during the diffusion denoising process, ensuring that the generated motion adheres to spatial constraints. Realism guidance is incorporated to enhance the naturalness and …

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