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Articles 2671 - 2700 of 68950
Full-Text Articles in Entire DC Network
Enhancing High Cycle Fatigue Perfomance Of Electron Beam Melted Ti6al4v: A Study On Shot Peening And Hot Isostatic Pressing, Naghmeh M. Mojib, Dwayne D. Arola, Ramulu Mamidala
Enhancing High Cycle Fatigue Perfomance Of Electron Beam Melted Ti6al4v: A Study On Shot Peening And Hot Isostatic Pressing, Naghmeh M. Mojib, Dwayne D. Arola, Ramulu Mamidala
15th International Conference on Shot Peening
The qualification of electron beam powder bed fusion (PBF-EB) for safety-critical applications is hindered by variability in high cycle fatigue performance, largely due to surface roughness and internal defects. While Hot Isostatic Pressing (HIP) effectively reduces internal porosity, it does not address surface-initiated fatigue failures. This study investigated the combined effects of HIP and shot peening on enhancing the fatigue performance of PBF-EB Ti6Al4V. Over 50 specimens, including both vertical and horizontal build orientations, underwent high cycle fatigue testing per ASTM E466. X-Ray computed tomography confirmed decrease in defect distribution following HIP, while shot peening resulted in a more uniform …
Investigations On The Fatigue Strength Of Threads Produced By Different Fabrication Techniques, Philippe Du Maire, Jürgen Hoffmeister, Andreas Öchsner, Michael Johlitz
Investigations On The Fatigue Strength Of Threads Produced By Different Fabrication Techniques, Philippe Du Maire, Jürgen Hoffmeister, Andreas Öchsner, Michael Johlitz
15th International Conference on Shot Peening
The increasing importance of sustainability in engineering demands the development of long-lasting, high-performance components that reduce material and energy consumption over time. This study investigates how different thread manufacturing processes, i.e., cutting, rolling, and deep rolling, affect the fatigue strength of bolts made from 42CrMo4+QT steel. Cylindrical specimens with M12 threads were subjected to cyclic tensile loading with constant mean stress. Fatigue strength was evaluated using the staircase method, and supporting analyses included X-ray diffraction for residual stress, and full width half maximum examination and Vickers microhardness measurements. Results show that thread rolling significantly improves fatigue strength, achieving 113.8 MPa …
Blockchain-Based Trusted Traceability And Sustainability Certification Of Leather Products, Ruba Islayem, Haya R. Hasan, Ahmad Musamih, Khaled Salah, Raja Jayaraman
Blockchain-Based Trusted Traceability And Sustainability Certification Of Leather Products, Ruba Islayem, Haya R. Hasan, Ahmad Musamih, Khaled Salah, Raja Jayaraman
Industrial Engineering: Faculty & Staff Publications
The leather supply chain comprises numerous organizations and stakeholders, particularly when sustainability aspects are taken into account, making it a complex system. The complexity inherent in such systems can lead to inaccurate information, lack of transparency, and limited data provenance. Moreover, there has been a surge in the call for sustainable practices within leather production, propelled by growing environmental consciousness and ethical considerations. In this paper, we address these challenges by proposing a blockchain-based solution designed to ensure trusted and secure traceability and sustainability throughout the entire life cycle of leather products. By harnessing the inherent capabilities of Ethereum smart …
Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi
Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi
Coal Geology & Exploration
Objective Bulk material transport in emergency rescue scenarios and coal transportation poses stringent demands for the structural performance of transfer chutes. Given this, from the perspective of the energy dissipation mechanisms of particles, this study proposed structural optimization methods for transfer chutes based on the regulation of particle energy dissipation. Methods An experiment–simulation integrated analysis framework was established. Using this framework, this study systematically simulated the impact process of particles between two-stage walls I and Ⅱ using the discrete element method (DEM), highlighting the coupling mechanisms among velocity fluctuations, stress distribution, and energy transformation pathways. Based on the results, this …
Technologies And Equipment For Efficient Drilling Rescue, Yao Ningping, Zou Zujie, Zhang Zhonghai, Zhao Jiyun, Hao Shijun, Fan Dong, Dou Bin
Technologies And Equipment For Efficient Drilling Rescue, Yao Ningping, Zou Zujie, Zhang Zhonghai, Zhao Jiyun, Hao Shijun, Fan Dong, Dou Bin
Coal Geology & Exploration
Objective In China, mining operations are progressively extending to greater depths, with annual tunneling of mine roadways and tunnels nationwide reaching nearly 20000 km. In this context, mine (tunnel) accidents occur frequently, threatening the safety of state property and people’s lives. To meet the great demand for emergency rescue in mine (tunnel) accidents, drilling rescue, emerging as a hot topic, has been employed as an effective approach. Methods Techniques and equipment for efficient and safe drilling of surface and underground (tunnel) rescue boreholes were investigated by centering on two main roadmaps: (1) surface rescue equipment – forming techniques for search …
Face Off: Evaluating Virtual Human Expressions And Non-Tracking Control Methods In Vr, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis
Face Off: Evaluating Virtual Human Expressions And Non-Tracking Control Methods In Vr, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis
Conference papers
Social virtual reality (VR) applications have become more ubiquitous in recent years; central to this is the communication pipeline, how users perceive virtual human facial expressions, and how they control them in real time, especially when using VR devices without face-tracking. We investigated both aspects in a set of experiments. Firstly, we compared the perception of virtual human emotions on a traditional 2D screen and in VR. In a second experiment, we used a validated set of stimuli to compare three different control methods for manipulating an avatar’s facial expressions in VR. These control methods utilize non-tracking control techniques, which …
Battery Management System For Solar Powered Li-Ion Battery In Electric Vehicle Applications: A Comprehensive Review, Mustafa Abdulelah Ali, Mohanad Aljanabi, Faris Mohammed Ali
Battery Management System For Solar Powered Li-Ion Battery In Electric Vehicle Applications: A Comprehensive Review, Mustafa Abdulelah Ali, Mohanad Aljanabi, Faris Mohammed Ali
The Nexus of Sustainability and Energy Technology Journal
Electric Vehicle (EV) charging use is going up solar installations on rooftops and on a large scale in power plants are increasing consequently. Therefore, a Battery Management System (BMS), which is the system for managing battery storage, was used to control the solar energy generation to coordinate charging. Such a connection gives the BMS the opportunity to modify charging/discharging patterns with the help of solar energy predictions and prices of electricity from the grid. Moreover, the battery is being protected from aging with the BMS to monitor the state of charge/health of the battery. The BMS protects the Li-ion batteries …
Fdm In Textiles - Present Scenario, Challenges And Future Prospects, Kaniz Farhana, Abdul Mahadin Labid, Mahnur Rahman Jahwa, Sabikun Nahar Sadia, Kamal Tafcir Rayhan, Abu Shadate Faisal Mahamude
Fdm In Textiles - Present Scenario, Challenges And Future Prospects, Kaniz Farhana, Abdul Mahadin Labid, Mahnur Rahman Jahwa, Sabikun Nahar Sadia, Kamal Tafcir Rayhan, Abu Shadate Faisal Mahamude
The Nexus of Sustainability and Energy Technology Journal
In contemporary society, additive manufacturing, also known as 3D printing, is the most valuable production process. Fused Deposition Modeling (FDM) is the most concentrated version because of its versatility, output quality, speed, and other attributes. The goal of this study is to give readers a thorough understanding of FDM and the graphic examination of its effects in the textile industry. This article provides a detailed examination of FDM technology, covering its history, benefits, drawbacks, sustainability, and contributions to many FDM fields. A particular emphasis on the role that FDM plays in the textile industry, as well as its prospects for …
Sustainable Additive Manufacturing Of Polymer Composites: A Review, Wan Sharuzi Wan Harun, Faiz Ahmad, Farhana Mohd Foudzi, Fujio Tsumori, Arun Kumar Thirugnanasambandam, Mohammed Saber
Sustainable Additive Manufacturing Of Polymer Composites: A Review, Wan Sharuzi Wan Harun, Faiz Ahmad, Farhana Mohd Foudzi, Fujio Tsumori, Arun Kumar Thirugnanasambandam, Mohammed Saber
The Nexus of Sustainability and Energy Technology Journal
Additive Manufacturing (AM) of polymer composites has matured from a prototyping tool into a viable process for functional components. This review critically assesses this progress, focusing on the intersection of performance, sustainability, and industrial readiness. Advancements in AM processes now accommodate diverse reinforcements, from nanoscale fillers to continuous fibres, yielding parts with exceptional mechanical properties. Concurrently, a sustainability strategy has emerged, prioritising bio-based and recycled feedstocks, enhanced process energy efficiency through novel out-of-oven curing, and circular economy principles. However, widespread industrial adoption is hindered by persistent challenges. These include managing fibre-matrix interfacial integrity, the inherent anisotropy of printed parts, complex …
Chacahoula 2025, Volume 92, Alayna Pellegrin
Chacahoula 2025, Volume 92, Alayna Pellegrin
Chacahoula
The 2025 issue of Chacahoula includes December 2024 and May 2025 graduating classes, as well as stunning photography student life on the banks of Bayou Desiard. With features covering students, faculty, and staff, this year's time capsule preserves an academic year in the life of the University of Louisiana at Monroe.
Evaluation Of Robotic Swabbing And Fluorescent Sensing To Monitor The Hygiene Of Food Contact Surfaces, Siavash Mahmoudi, Clark Griscom, Pouya Sohrabipour, Yang Tian, Chaitanya Palleria, Philip G. Crandall, Dongyi Wang
Evaluation Of Robotic Swabbing And Fluorescent Sensing To Monitor The Hygiene Of Food Contact Surfaces, Siavash Mahmoudi, Clark Griscom, Pouya Sohrabipour, Yang Tian, Chaitanya Palleria, Philip G. Crandall, Dongyi Wang
Biological and Agricultural Engineering Faculty Publications and Presentations
Effective environmental monitoring is critical for preventing microbial and allergenic cross-contamination. However, manual swabbing methods, commonly used to verify hygienic conditions, are prone to inconsistent results because of variability in pressure, coverage, and techniques. Two novel solutions will be explored to address these challenges: a robotic swabbing system with tactile sensing control, and a fluorescence/absorbance spectrometer for non-contact, protein-based residue detection. The robotic system was evaluated against trained and untrained humans, measuring water pickup, surface coverage, and pressure consistency. Concurrently, the fluorescence system analyzed model poultry protein soil to correlate spectral patterns with contamination levels. The robotic system demonstrated statistically …
Design Of Non-Invasive Device To Measure Differential Flow In The Carotid Arteries, Rachel Elisabeth Jacquay
Design Of Non-Invasive Device To Measure Differential Flow In The Carotid Arteries, Rachel Elisabeth Jacquay
Masters Theses
A stroke is categorized as quickly developing symptoms of cerebral function loss with no apparent cause other than that of vascular origin. Stroke detection in prehospital settings, such as an ambulance, is subjective and often requires additional imaging methods to obtain a definitive conclusion. Common non-invasive methods for stroke detection include Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. Still, these techniques can be expensive, time-consuming, and dangerous due to exposure to strong magnetic fields and radiation. Two additional methods have been proposed for quick, inexpensive, and non-invasive stroke detection, namely Ultrasound Doppler and Pressure Transducer. A simplified physical …
Click-Ready Gold Nanoparticles From Aqueous Mechanochemistry: 2-Propynylamine As A Reducing Agent And Surface Ligand, Amber L. Garcia, Brian S. Mitchell, Amanda Reusch, Mark J. Fink, Juan P. Hinestroza, Yelin Ko, Julie P. Vanegas
Click-Ready Gold Nanoparticles From Aqueous Mechanochemistry: 2-Propynylamine As A Reducing Agent And Surface Ligand, Amber L. Garcia, Brian S. Mitchell, Amanda Reusch, Mark J. Fink, Juan P. Hinestroza, Yelin Ko, Julie P. Vanegas
Physics & Astronomy Faculty Publications
We report a rapid aqueous method for synthesizing monodisperse gold nanoparticles (AuNPs), employing 2-propynylamine as both an intrinsic reducing agent and a surface-stabilizing ligand. This self-mediated process—achieved in a single step—yields spherical AuNPs with an average diameter of 4.0 ± 1.0 nm and a well-defined localized surface plasmon resonance band centered at 520 nm. Acting as a bifunctional molecule, 2-propynylamine simultaneously reduces HAuCl4·3H2O to elemental gold and passivates the nanoparticle surface through coordination via the amine group, while preserving a terminal alkyne (–C≡CH) functionality. This reactive moiety remains exposed and chemically accessible, enabling post-synthetic modification through Cu(I)-catalyzed azide–alkyne cycloaddition. Control …
Evaluating The Effectiveness Of Localized Masking To Prevent Changes In Residual Stress When Shot Peening, James R. Harrison, James Pineault, Tom Mills
Evaluating The Effectiveness Of Localized Masking To Prevent Changes In Residual Stress When Shot Peening, James R. Harrison, James Pineault, Tom Mills
15th International Conference on Shot Peening
When shot peening components, it is common practice to mask certain localized regions where peening roughness is not desirable. For example, surfaces that have been highly machined such as bearing races or areas of interference-fit may require masking to protect them from the cold working effects of shot peening. Oftentimes shot peening the grip sections of fatigue test coupons can prevent cracking and failures due to fretting fatigue in the grip area but could affect the outcome of the test if applied to the gauge section of the coupons. Thus, maintaining an “as machined” surface roughness is the most common …
Methodologies And Applications Of Precision Shot Peening To Hole Or Slot Geometry, James C. Hoffman
Methodologies And Applications Of Precision Shot Peening To Hole Or Slot Geometry, James C. Hoffman
15th International Conference on Shot Peening
Shot peening, a commonly used method of fatigue and surface enhancement, is a critical process in many of the components in the aerospace industry. When it comes to small holes and/or slot geometries in these components, the process can become a challenge when these features are smaller than a conventional size Almen strip. In these cases, a decision must be made about how to process this type of geometry. Oftentimes, the method to apply the shot peen process is already defined in a process specification or part print so we must adhere to that method. If a method is not …
The E-Strip® As A Tool For Predictive Maintenance To Monitor And Control Shot Peening Processes, Walter A. Beach, Scott Glasier
The E-Strip® As A Tool For Predictive Maintenance To Monitor And Control Shot Peening Processes, Walter A. Beach, Scott Glasier
15th International Conference on Shot Peening
The primary objective of this paper is to demonstrate the E-Strip® is capable of providing real-time feedback to the machine controller for making necessary process adjustments due to external forces, such as machine wear. Adjustments may include regulating air pressure and shot flow within pre-defined tolerances dictated by specification. It is anticipated that this integrated approach will significantly reduce variations in intensity levels observed from part to part and lot to lot.
Improving Fatigue Strength And Life Of Single Crystal Cmsx-4, Jochen Peter Fuhr, Lloyd Hackel, Nicolau I. Morar, Noah Holtham, Keivan Davami, Montu Sharma, Rajkumar Roy
Improving Fatigue Strength And Life Of Single Crystal Cmsx-4, Jochen Peter Fuhr, Lloyd Hackel, Nicolau I. Morar, Noah Holtham, Keivan Davami, Montu Sharma, Rajkumar Roy
15th International Conference on Shot Peening
The deep penetration of laser peening (LP) and retention of residual stress at high temperature by LP is significant in improving fatigue life and strength of superalloys exposed to high temperature and corrosion. Single crystal CMSX-4, was evaluated for stress relaxation and both fatigue life and fatigue strength of material that was LP-treated compared to non-LP and shot-peened (SP) specimens. LP was done with multiple layers using a 20 J/pulse laser where the laser high energy enabled using a 5 mm spot size on the metal surface. Stress measurements by the slitting technique showed the plastic penetration depth exceeded SP …
Nonlinear Analytical Models Of The Seismically Isolated ``Frame-Boiler'' System With Cantilever-Type Hysteresis Dampers, Aleksandr Mikhailovich Anushchenko, Dmitrii Evgenievich Bondarev, Aleksandr Yurievich Schukin
Nonlinear Analytical Models Of The Seismically Isolated ``Frame-Boiler'' System With Cantilever-Type Hysteresis Dampers, Aleksandr Mikhailovich Anushchenko, Dmitrii Evgenievich Bondarev, Aleksandr Yurievich Schukin
Journal of Sustainable Construction Materials and Technologies
This study shows results of development of the ``frame-boiler'' system with hysteresis dampers analytical model. Hysteresis dampers are used as boiler antiseismic bracing. It is noted that simplified analytical models are necessary at the stage of preliminary iterative calculations, when a CAE-modeling is impractical due to significant time costs. The authors have proposed 2 options of analytical models: 2-mass model and 3-mass model. The differential equations of motion for each model are written below. The results of the calculation for seismic impacts are compared with the finite element model. It is shown that 3-mass model gives good match of results …
Advancing Sustainable Structural Solutions: Hemp Fiber-Reinforced Polymer (Hfrp) Reinforcement Bars For Concrete Applications Through Material Selection, Simulation, And Pathways For Future Development, Thomas Cadenazzi, Busra Keles
Advancing Sustainable Structural Solutions: Hemp Fiber-Reinforced Polymer (Hfrp) Reinforcement Bars For Concrete Applications Through Material Selection, Simulation, And Pathways For Future Development, Thomas Cadenazzi, Busra Keles
Journal of Sustainable Construction Materials and Technologies
This paper investigates innovative Hemp Fiber-Reinforced Polymer (HFRP) rebars as a sustainable alternative to conventional Carbon Steel (CS) and Glass Fiber-Reinforced Polymer (GFRP) rebars used as reinforcement in concrete structures. The feasibility of HFRP rebars is assessed, focusing on mechanical properties and sustainability advantages. A virtual tensile test on a modeled M19 HFRP rebar, conducted using Autodesk's Fusion 360, demonstrates tensile strength comparable to CS 235 and greater environmental sustainability than GFRP, despite a slight reduction in stiffness. The study also considers the potential of graphene fiber integration to enhance mechanical properties, underscoring HFRP's adaptability. Findings suggest that HFRP rebars, …
Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson
Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson
Michigan Tech Publications
Snow accumulation on photovoltaic (PV) panels can cause significant energy losses in cold climates. While drone-based monitoring offers a scalable solution, real-world challenges like varying illumination can hinder accurate snow detection. We previously developed a YOLO-based drone system for snow coverage detection using a Fixed Thresholding segmentation method to discriminate snow from the solar panel; however, it struggled in challenging lighting conditions. This work addresses those limitations by presenting a reliable drone-based system to accurately estimate the Snow Coverage Percentage (SCP) over PV panels. The system combines a lightweight YOLOv11n-seg deep learning model for panel detection with an adaptive image …
Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen
Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen
Graduate Student Scholarship
Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …
Comparative Analysis Of Belt-Slider Pan Configurations On The Power Consumption Of Belted Conveyor Systems, Asib Ridwan
Comparative Analysis Of Belt-Slider Pan Configurations On The Power Consumption Of Belted Conveyor Systems, Asib Ridwan
Student Theses and Dissertations
Conveyor systems are widely used in industrial applications for material handling, but their high energy consumption remains a significant challenge. This study investigated the influence of different belt-slider pan configurations on conveyor power consumption, aiming to optimize efficiency while minimizing energy losses. Three types of slider pans; mild steel, galvanized steel, and powder-coated steel, were analyzed under controlled experimental conditions to determine the motor torque and power consumption of a test conveyor system under various loading conditions. Torque and power values were derived, plotted, and comparatively analyzed across all configurations to determine performance differences. Static friction coefficients of each type …
Development Of An Instrumented Test System To Evaluate Mechanical Characteristics Of Belted Conveyor Systems, Coleman Emerson Wilson
Development Of An Instrumented Test System To Evaluate Mechanical Characteristics Of Belted Conveyor Systems, Coleman Emerson Wilson
Student Theses and Dissertations
The use of conveyor systems within industrial and warehouse settings gives the ability for increased productivity and increased speed of moving objects. As in many settings, the use of these conveyor systems requires large amounts of continuous runtime, and the ability to save even small amounts of energy over a large period can create large improvements in the total overhead cost of running the facility. Research into the ability to characterize the components within a conveyor system gives the ability to identify sources of large amounts of wasted energy and quantify these losses. There is a need to quantify the …
An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti
An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti
Faculty Publications
Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …
Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin
Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin
Mechanical Engineering Faculty Publications
The global reliance on fossil fuels and natural gas has largely dominated the energy production field, but due to finite resource depletion and escalating greenhouse gas emissions, the immediate exploration of sustainable energy alternatives to mitigate climate change and ensure resource security has been a major concern. There has been extensive research into other more renewable methods of energy production, such as wind and hydropower. Of these current energy generation types, there are many areas of untapped potential from the mechanical movements generated ambiently not only in the large scale of power generation but also on a smaller scale. The …
Design And Prediction Of Deep Fuzzy Neural Network, Chengbiao Wei, Taoyan Zhao, Jiangtao Cao, Ping Li
Design And Prediction Of Deep Fuzzy Neural Network, Chengbiao Wei, Taoyan Zhao, Jiangtao Cao, Ping Li
Journal of System Simulation
Abstract: A deep fuzzy neural network (DFNN) is proposed to solve the problem that the deep neural network has poor interpretability and the correction of the model is not targeted when dealing with the big data regression prediction problem. The proposed deep fuzzy neural network adopts an adaptive fuzzy Cmeans (AFCM) clustering algorithm in structural learning. The structure of the model, namely the number of rules and the antecedent parameters of the rules, is determined by calculating the introduced validity function. The identification of consequent parameters uses an improved grey wolf optimization (IGWO) algorithm. By replacing the linear decreasing strategy …
Research On Real-Time Cgf Maneuvering State Generation Method Based On Random Finite Set, Xiaoyan Zhang, Ge Li, Peng Wang
Research On Real-Time Cgf Maneuvering State Generation Method Based On Random Finite Set, Xiaoyan Zhang, Ge Li, Peng Wang
Journal of System Simulation
Abstract: With the rapid development of sensor networks and other technologies, the acquisition of measurement data in the real physical space has become easier. How to utilize the measurement data from the real battlefield space to improve the accuracy and credibility of CGF simulation is the key issue to realize the CGF simulation combining virtual and real. The method is studied of using real measurement data to generate CGF model maneuvering state data in real time, in order to realize the virtual-real synchronization and real-time mapping between the real battlefield and CGF simulation system, and to provide environmental inputs for …
Machine-Learning-Assisted Discovery Of Lattice Dynamics Signatures Of Sodium Superionic Conductor, Ogheneyoma Aghoghovbia, Riccardo Rurali, Mohammed Al-Fahdi, Joshua Ojih, De-En Jiang, Ming Hu
Machine-Learning-Assisted Discovery Of Lattice Dynamics Signatures Of Sodium Superionic Conductor, Ogheneyoma Aghoghovbia, Riccardo Rurali, Mohammed Al-Fahdi, Joshua Ojih, De-En Jiang, Ming Hu
Faculty Publications
Sodium superionic conductors are key to the development of all-solid-state sodium batteries. Discovery of new superionic conductors has traditionally relied on insights from material defect chemistry and the transition/hopping theory, while the role of lattice vibrations, i.e., phonons, remains underexplored. We identify key lattice dynamics signatures that govern ionic conductivity by analyzing the phonon mean squared displacement (MSD) of Na+ ions. By high-throughput screening of a dataset of 3903 Na-containing structures, we establish a strong positive correlation between phonon MSD and diffusion coefficients, providing a quantitative correlation between lattice dynamics and ion transport. To accelerate this discovery, we …
Uncalibrated Visual Servoing For Spatial Under-Constrained Cable-Driven Parallel Robots, Jarrett-Scott K. Jenny, Matt Marshall
Uncalibrated Visual Servoing For Spatial Under-Constrained Cable-Driven Parallel Robots, Jarrett-Scott K. Jenny, Matt Marshall
Faculty Articles
Cable-driven parallel robots (CDPRs) offer large workspaces with minimal infrastructure, but their control becomes difficult when the platform is under-constrained and sensing is limited. This paper investigates uncalibrated visual servoing (UVS) with a single monocular camera, asking whether simple global static Jacobians (GSJ) can be sufficient and how an adaptive Jacobian estimator behaves. Two platforms are evaluated: a three-cable (3C) platform and a redundant six-cable du-al-plane platform (RC). Motion-capture (MoCap) validation shows that redundancy improves stability and tracking by reducing platform tilt and making image errors correspond more directly to Cartesian motions. Across static and low-speed tracking tasks, GSJ proved …
Recent Trends In Network Technologies: A Comprehensive Review, Atheer Y. Oudah, Raaid Alubady, Lina M. Shaker
Recent Trends In Network Technologies: A Comprehensive Review, Atheer Y. Oudah, Raaid Alubady, Lina M. Shaker
AUIQ Technical Engineering Science
The networking domain is undergoing profound transformation, driven by the rapid maturation of artificial intelligence, edge computing, and advanced virtualization technologies. This review analyzes the major networking trends that have emerged between 2010 and 2025, emphasizing their technological foundations, practical implementation challenges, and long-term implications for the evolution of digital infrastructure. Specifically, it analyzes advances in network function virtualization, AI-enabled network operations, edge computing integration, and the evolution of next-generation connectivity standards. This review highlights the interplay and convergence of these technologies, arguing that their combined adoption is not merely incremental but represents a paradigm shift in network design, deployment, …