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Articles 4231 - 4260 of 193317

Full-Text Articles in Engineering

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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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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Direct Solar-Energy Powered Hydrothermal Treatment To Promote Biomethane Production From Anaerobic Digestion Of Rice Processing Waste, Kainat Rahnuma Jan 2026

Direct Solar-Energy Powered Hydrothermal Treatment To Promote Biomethane Production From Anaerobic Digestion Of Rice Processing Waste, Kainat Rahnuma

Student Theses and Dissertations

Hydrolysis is a slow and energy-intensive process and a rate-limiting step in anaerobic digestion (AD). This research investigates performance strategies for integrating hydrothermal treatment (HT) with AD. HT-AD systems were less economically viable than AD-only options because of the high energy consumption of HT. Therefore, we used solar energy to conduct HT via either solar cookers or solar panels. The HT method significantly improved digestion performance, reducing the lag phase from 60 to 24 h, and increasing overall yield. Hydrothermally treated rice, rice bran, and rice hulls produced 22,932 mL, 13,136 mL, and 1283 mL, respectively. However, untreated rice, rice …

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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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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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Can I Be An Engineer? Factors Influencing Women’S Decisions To Pursue Undergraduate Engineering Studies In The Middle East And North Africa, Rasha Malaeb, Elsa Maalouf, Aya Mouallem, Jana Sabra Jan 2026

Can I Be An Engineer? Factors Influencing Women’S Decisions To Pursue Undergraduate Engineering Studies In The Middle East And North Africa, Rasha Malaeb, Elsa Maalouf, Aya Mouallem, Jana Sabra

Journal of Pre-College Engineering Education Research (J-PEER)

In the Middle East and North Africa (MENA), different institutional and cultural factors seemingly play a significant role in influencing women’s decisions to enroll in undergraduate engineering programs. In this work, we aim to uncover key influences that affect young women’s decisions to pursue undergraduate engineering studies in Lebanon, an Arab country in the MENA region. First, we conducted a survey during a student-led engineering summer program in 2024 at the Maroun Semaan Faculty of Engineering and Architecture at the American University of Beirut. The survey participants were 47 high school female students from diverse regions and backgrounds in Lebanon. …

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Fostering Engineering Identities And Attitudes Through Place-Conscious Learning Introduction, Rebekah Hammack, Miracle Moonga, Nicholas Lux, Paul Gannon Jan 2026

Fostering Engineering Identities And Attitudes Through Place-Conscious Learning Introduction, Rebekah Hammack, Miracle Moonga, Nicholas Lux, Paul Gannon

Journal of Pre-College Engineering Education Research (J-PEER)

Limited research focuses on how participating in place-conscious engineering affects students’ engineering identities and attitudes toward engineering. This explanatory sequential mixed methods study investigated the effect of engaging elementary school students in place-conscious engineering activities on their engineering identities and attitudes toward engineering. Twenty fourth grade students enrolled in a rural elementary school in the northwestern United States completed two place-conscious engineering activities: (1) after a local wildfire polluted the air with smoke and made it unhealthy for breathing, students designed and built air filters to prevent smoke from entering the homes of affected families residing in a nearby community, …

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Robert S. Frasure Murder Trails Collection, 1915-2017, Robert Silas Frasure Jan 2026

Robert S. Frasure Murder Trails Collection, 1915-2017, Robert Silas Frasure

Morehead State University Manuscripts Collections

No abstract provided.

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In Situ And Operando Microscopy Studies On Lithium Metal Anodes: A Review, Ian Lindsey, Cameron Mondl, Xiangbo Meng Jan 2026

In Situ And Operando Microscopy Studies On Lithium Metal Anodes: A Review, Ian Lindsey, Cameron Mondl, Xiangbo Meng

Mechanical Engineering Faculty Publications and Presentations

Lithium metal is regarded as an ultimate anode for rechargeable batteries, ascribed to its extremely high capacity. Its implementation can remarkably boost the energy density of the resultant lithium metal batteries. However, it is very challenging to commercialize lithium metal anodes, primarily due to the intertwined nature of the formation of a solid electrolyte interphase (SEI) and the growth of lithium dendrites. To understand these issues and therefore develop technical solutions, various instrumental techniques have been employed. This review highlights the most recent advancements of in situ and operando microscopy studies that are critical for investigating and addressing the issues …

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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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When Disasters Trigger Cyber Vulnerabilities: Mapping Physical-Digital Interdependencies In Critical Infrastructure Systems, Dikshya Panta, Sicheng Wang, Aditya Sapkota, Prakash Ranganathan Jan 2026

When Disasters Trigger Cyber Vulnerabilities: Mapping Physical-Digital Interdependencies In Critical Infrastructure Systems, Dikshya Panta, Sicheng Wang, Aditya Sapkota, Prakash Ranganathan

Faculty Publications

Critical infrastructure (CI) systems such as power, water, communications, and emergency services are increasingly exposed to compound risks in which natural disasters and cyber incidents interact and amplify one another. Traditional risk assessments often isolate physical and digital threats, overlooking the cascading dependencies that emerge when operational stress, emergency reconfiguration, and adversarial exploitation coincide. This study conducts a 2019–2025 scoping review and introduces a Geographic Information System (GIS) driven six-stage disaster cyber compounding framework that characterizes, maps, and operationalizes compound risk across interdependent CI sectors. The framework integrates a common operating picture, analytic situational understanding, exposure mapping, threat-fingerprint encoding, detection …

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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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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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Biopcm-Integrated Smart Façade For Hospitals: Thermal Performance Across Floor Levels In A Hot-Arid Climate, Aia A. Qindil, Esraa Elazab, Mohamed M. Shawky Abou Liela Jan 2026

Biopcm-Integrated Smart Façade For Hospitals: Thermal Performance Across Floor Levels In A Hot-Arid Climate, Aia A. Qindil, Esraa Elazab, Mohamed M. Shawky Abou Liela

Mansoura Engineering Journal

Hospitals are among the most energy-intensive building types because they operate around the clock and must maintain strict indoor environmental conditions, especially in hot-arid climates. Improving their performance calls for façade solutions that can store thermal energy effectively and help cut carbon emissions. This study evaluates the use of macro-encapsulated BioPCM® within the south façade of a high-rise hospital in Mansoura, Egypt, using dynamic simulations in DesignBuilder (EnergyPlus). The analysis focuses on two vertical levels, the third floor as a typical ward and the seventh floor as a rooftop ward, to investigate how elevation influences PCM performance, an aspect rarely …

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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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Enhancing Deep Learning And Workload Management In Online Education: The Power Of Scaffolded Weekly Assessments, Maryam Mohammad Zadeh, Rebecca Ferrari Jan 2026

Enhancing Deep Learning And Workload Management In Online Education: The Power Of Scaffolded Weekly Assessments, Maryam Mohammad Zadeh, Rebecca Ferrari

International Journal of Teaching and Learning in Higher Education

This study investigates the use of scaffolded weekly assessments with individual feedback in promoting deep learning and managing workload among engineering students in online education. The research focuses on how these assessment strategies shape students’ learning approaches and workload distribution. The study involved the implementation of weekly assessments aligned with intended learning outcomes, complemented by personalized feedback. Data collection comprised student surveys and qualitative feedback to assess the impact on learning approaches and workload management. The qualitative results show that 91.9% of the students adopted deep learning, where only 8.1% engaging in surface learning. Students reported that this approach not …

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Design And Analysis Of A Hybrid Energy Storage System For A Bldc Motor In Lightweight Electric Vehicles, Mohammed Turki Baidar, Yasir M. Y. Ameen Jan 2026

Design And Analysis Of A Hybrid Energy Storage System For A Bldc Motor In Lightweight Electric Vehicles, Mohammed Turki Baidar, Yasir M. Y. Ameen

AUIQ Technical Engineering Science

Internal Combustion Engine (ICE) vehicles are being replaced by electric vehicles to decrease fossil fuel depletion, pollution, and the effects of global warming. However, in electric vehicles, the primary concern is battery power consumption and lifespan, which affects the driving range. This study presents a hybrid energy storage system (HESS) comprising a lithium-ion battery and super capacitor array, designed and simulated in MATLAB/Simulink to enhance the range and performance of lightweight electric motorcycles powered by 2.5 kW BLDC motors. A 16-cell super capacitor module (3V, 3000F per cell) achieving 187F total capacitance was integrated with a 44.4V battery through a …

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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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Virtual Reality Rehabilitation Training System Based On Multimodal Brain-Computer Interface, Jing Qu, Kaining Fang, Shantong Zhu, Lingguo Bu Jan 2026

Virtual Reality Rehabilitation Training System Based On Multimodal Brain-Computer Interface, Jing Qu, Kaining Fang, Shantong Zhu, Lingguo Bu

Journal of System Simulation

Abstract: The aging population has led to an increasing demand for rehabilitation for cognitive and motor functions. In response to the lack of interest in traditional rehabilitation and the absence of objective physiological assessment in existing virtual reality (VR) rehabilitation systems, a VR rehabilitation training system based on multimodal brain computer interface is developed by integrating VR interaction, near-infrared brain functional imaging, and motion capture technology. An immersive cognitive-motor integrated training environment was constructed to guide users in completing upper limb tasks. By recruiting subjects and synchronously collecting brain network data and Kinect upper limb motion parameters, multimodal assessment …

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Defect Detection Method Based On Hierarchical Microscopic Feature Modeling And Simulation, Jing Zou, Xu Tan, Junji Mao, Haidong Gao, Jianrong Tan Jan 2026

Defect Detection Method Based On Hierarchical Microscopic Feature Modeling And Simulation, Jing Zou, Xu Tan, Junji Mao, Haidong Gao, Jianrong Tan

Journal of System Simulation

Abstract: To address the challenge of detecting small and low-contrast defects in complex microscopic images, a defect method technology based on hierarchical microscopic feature modeling and simulation is proposed. The method is built on the RT-DETR (real-time detection transformer)framework to construct the HM-RTDETR (hierarchical microscopic RT-DETR) model. It maintains the global feature modeling ability of the Transformer and introduces a Dense O2O-Mosaic, a high-density one-to-one Mosaic augmentation strategy, to increase supervision density for small samples. A depthwise separable convolution (DWConv) module is used to enhance local detail extraction in microscopic textures, and a learnable PatchExpand module is applied …

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Material Reconstruction From Single Image Combining Neural Networks With Singular Value Decomposition, Zhiqiang Li, Xukun Shen, Yong Hu, Xueyang Zhou, Yifan Chen Jan 2026

Material Reconstruction From Single Image Combining Neural Networks With Singular Value Decomposition, Zhiqiang Li, Xukun Shen, Yong Hu, Xueyang Zhou, Yifan Chen

Journal of System Simulation

Abstract: The tabulated BRDFs (bidirectional reflectance distribution function) can realistically reproduce the surface appearance of objects. However, due to their high-dimensional characteristics and the fact that a single planar image contains limited reflectance information and small differences, methods for estimating tabulated BRDFs typically require complex equipment or the capture of multiple images. To address this issue, a method is proposed for reconstructing material properties from a single image by combining neural networks with singular value decomposition. The singular value decomposition is introduced to compress the material into a lower-dimensional space. The task of solving the tabulated BRDFs is simplified to …

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Full-Body Co-Speech Gesture Generation Based On Spatial-Temporal Enhanced Generation Model, Shuozhe Zhang, Wenfeng Song, Xia Hou, Shuai Li Jan 2026

Full-Body Co-Speech Gesture Generation Based On Spatial-Temporal Enhanced Generation Model, Shuozhe Zhang, Wenfeng Song, Xia Hou, Shuai Li

Journal of System Simulation

Abstract: Full-body co-speech gesture generation significantly enhances the interactivity of virtual digital humans, requiring generated gestures to not only align accurately with speech but also demonstrate realistic full-body dynamics. To address limitations of existing methods—Transformer-based approaches often overlook temporal features of action sequences, while diffusion model-based ones inadequately capture spatial correlations between body parts, a full-body action generation method integrating diffusion models, Mamba, and attention mechanisms is proposed. We introduce the spatial self-attention-temporal state space model (STMamba Layer) as the core of denoising network to extract
inter-part spatial features and intra-part temporal features, thus enhancing action quality and diversity. …

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Vrbt: Vr Badminton Training With Multitask Injury Alerts Based On Lightweight 3d Skeletal Reconstruction, Yuning Zhu, Meng Yang, Tianyue Chen, Weiliang Meng Jan 2026

Vrbt: Vr Badminton Training With Multitask Injury Alerts Based On Lightweight 3d Skeletal Reconstruction, Yuning Zhu, Meng Yang, Tianyue Chen, Weiliang Meng

Journal of System Simulation

Abstract: To overcome the limitations of traditional badminton training, a VR training method that integrates multiple models for collaborative simulation is proposed. A "perception-decision- interaction" framework is developed within Unity, featuring diverse training modules powered by a physics engine for realistic trajectory simulation. The system employs a lightweight MHFormer for 3D pose estimation and a novel multi-task model (enhanced injury prediction system, EIPS) that combines random forest and XGBoost to jointly assess injury risk. This approach offers a solution for balancing real-time performance with accuracy in skeleton reconstruction and enables personalized training through dynamic risk assessment.

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