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Articles 391 - 420 of 195925
Full-Text Articles in Engineering
Flexible Power Point Tracking For Active Frequency Regulation In Grid-Connected Photovoltaic Power Plants, Castor K. Haule, Sophia D. Kigodi, Emmanuel S. Matee, Francis Mwasilu
Flexible Power Point Tracking For Active Frequency Regulation In Grid-Connected Photovoltaic Power Plants, Castor K. Haule, Sophia D. Kigodi, Emmanuel S. Matee, Francis Mwasilu
Tanzania Journal of Science
The increasing penetration of photovoltaic (PV) systems into modern power grids necessitates advanced control strategies capable of supporting grid stability. Traditional PV systems rely on Maximum Power Point Tracking (MPPT) to maximize energy extraction, limiting their ability to participate in grid-support functions such as frequency regulation or power curtailment. This paper presents a flexible power point tracking (FPPT) control strategy that enables PV systems to operate at arbitrary points along the power–voltage (P–V) curve. A multi-mode power management scheme is proposed, integrating conventional Perturb and Observe (P&O) MPPT with FPPT, allowing the system to switch dynamically between energy maximization and …
Optimization Of Gas Consumption, Cost And Production Rate For Computerized Numerical Control Oxy-Acetylene Flame Cutters, Eustace K. William, Simon I. Marandu, Enock W. Nshama
Optimization Of Gas Consumption, Cost And Production Rate For Computerized Numerical Control Oxy-Acetylene Flame Cutters, Eustace K. William, Simon I. Marandu, Enock W. Nshama
Tanzania Journal of Science
This study examined the impact of flame cutting parameters (i.e., cutting speed, plate thickness and nozzle diameter) on oxy-acetylene gas consumption, cost and production rate. A full factorial design of experiments was used to generate 27 experiments, which were conducted using a CNC flame cutter. The analysis of variance (ANOVA) method was used to determine significant process parameters, followed by regression analysis using the MINITAB ® software. The technique for order preference by similarity to ideal solutions (TOPSIS) was used to determine the optimal cutting parameters for minimizing the consumption and cost estimation of oxy- acetylene gas and maximizing the …
Website: Home, Zhiqu Lu, Likun Zhang, Lei Cao
Website: Home, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
No abstract provided.
Website: Latest Results, Zhiqu Lu, Likun Zhang, Lei Cao
Website: Latest Results, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
No abstract provided.
Website: News And Events, Zhiqu Lu, Likun Zhang, Lei Cao
Website: News And Events, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
No abstract provided.
Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang
Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The intelligent economy is a new economic model driven by artificial intelligence, representing a revolutionary shift in the technological-economic paradigm that promotes qualitative advancement in production factors, production functions, and production models. Through data-driven approaches, human-machine collaboration, cross-sector integration, and co-creation and sharing, the intelligent economy empowers high-quality development. In response to the transformations brought by the intelligent economy in terms of technology, factors, industries, ecosystems, and governance, systematic measures should be taken across scientific innovation, factor allocation, industrial transformation, ecosystem building, and governance systems to foster the emergence of new forms of the intelligent economy and inject strong momentum …
Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao
Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao
Bulletin of Chinese Academy of Sciences (Chinese Version)
The convergence of artificial intelligence (AI) and robotics is a cornerstone for the intelligent transformation of the physical world. This study conducts a systematic analysis of over 230,000 publications from the Web of Science and WIPO databases between 1982 and 2025 to dissect the evolutionary trajectory of AI and robotics integration since the 20th century. The findings identify four distinct developmental stages—independent exploration, functional coupling, primary intelligence, and intelligent symbiosis—while delineating the key technological breakthroughs and paradigm characteristics of each phase. Furthermore, seven core research thrusts are distilled, including motion planning and autonomous decision-making and perception & environmental understanding. An …
Developing Field And Spaceflight Microscopy, Nikki Johnston
Developing Field And Spaceflight Microscopy, Nikki Johnston
Dissertations and Theses
Designing for spaceflight favors the reduction of unnecessary features and cost-cutting, whether thisbe computation, hardware, or procedure. Resources are spent toward fortification and mission success over convenience. Such design goals paired with the relatively smaller budgets of academia lead us to do as much as we can in-house and use open-source as much as we can without compromising mission success. We also believe that thoroughly testing technology in extreme environments on earth is necessary for the success of a flight instrument. We focus on microscopy for life detection. I have spent my time here learning methods of hand-building microscopes to …
Assessment Of The Radionuclide Concentration Levels Of Water And Sediments Along The Mara River, Gasper Kachenge, Abubakary Salama, Abdalah Kileo, Furaha Chuma
Assessment Of The Radionuclide Concentration Levels Of Water And Sediments Along The Mara River, Gasper Kachenge, Abubakary Salama, Abdalah Kileo, Furaha Chuma
Tanzania Journal of Science
For many years, several factors have impacted the water quality of the Mara River, including population growth, agricultural expansion, livestock keeping, mining, and industrial activities. These factors have intensified water pollution and climate change effects around the river. While previous studies have mainly focused on assessing heavy metal pollution risks on the Mara River, this study evaluates the concentration levels of radionuclides in boreholes, water, and sediments along the river and its tributaries. Naturally occurring radioactive materials, including 226Ra, ²³²Th, and ⁴⁰K, were evaluated. A high-purity germanium radiation detector (HPGe) with a coaxial detector system coupled with Gamma Vision software …
Creating An Updated Risc-V Platform With Hypervisor Support, Carter A. Glatt
Creating An Updated Risc-V Platform With Hypervisor Support, Carter A. Glatt
Masters Theses
Virtualization has become an important methodology for implementing security and efficiency in embedded systems design. Virtualized environments provide flexibility and scalability of user-space environments, as hardware capabilities allow for multiple environments to run concurrently using the same hardware without impacting system performance or cost metrics. The ability to implement virtualized environments is fundamentally based on the instruction set architecture (ISA), which implements the necessary commands to facilitate the interface between physical hardware and virtual components.
RISC-V is an open-source ISA that can be used to generate platforms that support virtualization through the use of the H-Extension ISA. Previous research into …
On Shrinkage Estimators For Pareto Ii Parameters For Right Censored Type Ii Data, Jubran Abdulameer Labban, Hadeel Alkutubi
On Shrinkage Estimators For Pareto Ii Parameters For Right Censored Type Ii Data, Jubran Abdulameer Labban, Hadeel Alkutubi
Iraqi Journal for Computer Science and Mathematics
The aim of this study is to estimate the first two shrinkage estimators for the parameters of the Pareto II distribution with right-censored Type II data. The methods we used in this study are: maximum likelihood and Bayesian. In the Bayesian method, we use non-informative priority, which is Jeffries priority, and we use the squared error loss function. These estimators were compared through Monte Carlo simulation to indicate preference based on the mean square error criterion.
The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith
The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith
Publications and Research
The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.
This paper develops the conceptual and methodological foundations of SAR as …
Advancing The Oresat Adcs: Design & Implementation Of An Open-Source Reaction Wheel System, Chris Kane-Pardy
Advancing The Oresat Adcs: Design & Implementation Of An Open-Source Reaction Wheel System, Chris Kane-Pardy
Dissertations and Theses
Reaction wheels provide the primary means of precision attitude control for many CubeSat attitude determination and control systems by exchanging angular momentum with the spacecraft body. As the Portland State Aerospace Society's OreSat spacecraft transitioned from a 2U to a 3U configuration, the increased spacecraft inertia reduced the attitude control authority available from the legacy reaction wheel system. This thesis addresses that challenge through the redesign of the reaction wheel system and the development of a deterministic embedded controller and experimental framework for evaluating brushless motor commutation strategies under identical operating conditions.
The redesigned system combines an analytically sized flywheel, …
Design And Characterization Of A 3d-Printed Dual Stacked Patch Antenna With Tunable Coupling For Uav Applications, Isabelle Lynn Brigman
Design And Characterization Of A 3d-Printed Dual Stacked Patch Antenna With Tunable Coupling For Uav Applications, Isabelle Lynn Brigman
Masters Theses
Antennas are a critical component of unmanned aerial vehicle (UAV) communication systems where compact size, light weight, and reliable operation across multiple frequency bands are critical. While microstrip patch antennas are attractive for UAV applications due to their low profile, low cost, and ease of fabrication, they are often limited by narrow bandwidth and fixed-frequency operation. To address these limitations, this thesis investigates a mechanically and electrically reconfigurable dual-stacked patch antenna fabricated using additive manufacturing techniques.
The proposed antenna consists of a slotted driven patch operating near 2.5 GHz with a second resonant mode near 5 GHz. A parasitic patch …
Research Status And Prospects Of Monitoring Technology For Large-Span Cable-Stayed Bridges Based On Machine Learning, Liu Guoliang, Liu Guokun, Yan Donghuang, Wang Wenxi, Wang Qishun
Research Status And Prospects Of Monitoring Technology For Large-Span Cable-Stayed Bridges Based On Machine Learning, Liu Guoliang, Liu Guokun, Yan Donghuang, Wang Wenxi, Wang Qishun
Journal of China & Foreign Highway
Machine learning and intelligent optimization algorithms have been increasingly applied to construction and health monitoring of long-span cable-stayed bridges. Based on the construction history of cable-stayed bridges both domestically and internationally, an overview of the origin and development process of cable-stayed bridges was provided. Firstly, from the perspective of the entire life cycle of bridges, bridge monitoring was divided into construction period monitoring and operation period monitoring. The applications of mainstream construction monitoring methods in large cable-stayed bridge projects were elaborated, and the specific composition of bridge health monitoring systems was clarified. Secondly, the basic principles of several machine learning …
Explaining Safety Challenges And Their Relationships Using A Qualitative-Fuzzy Dematel Approach: A Surface Mine Case Study, Neda Molamehdizadeh, Gholam Hossein Halvani, Hossein Ebrahimi, Ali Asghar Farshad, Seyedeh Melika Kharghani Moghadam, Saber Moradi Hanifi
Explaining Safety Challenges And Their Relationships Using A Qualitative-Fuzzy Dematel Approach: A Surface Mine Case Study, Neda Molamehdizadeh, Gholam Hossein Halvani, Hossein Ebrahimi, Ali Asghar Farshad, Seyedeh Melika Kharghani Moghadam, Saber Moradi Hanifi
Journal of Sustainable Mining
Safety in surface mining operations is a major organizational management challenge due to the inherently hazardous nature of mining activities. This study aimed to explain safety challenges and identify their interrelationships through a combined qualitative-fuzzy DEMATEL approach in a surface mine in Yazd Province, Iran. The research was carried out in two sequential phases: first, key safety challenges were identified through qualitative interviews with employees, supervisors, and safety experts; then, the relationships among these challenges were analyzed and prioritized using the fuzzy DEMATEL technique. The main challenges identified included insufficient specialized training, inadequate safety equipment, weak organizational safety culture, and …
The Carbon Footprint Of The Hard Coal Sector In Poland In The Context Of The Evolution Of The European Union’S Climate Neutrality Policy, Katarzyna Widera
The Carbon Footprint Of The Hard Coal Sector In Poland In The Context Of The Evolution Of The European Union’S Climate Neutrality Policy, Katarzyna Widera
Journal of Sustainable Mining
The topic of the article is the carbon footprint of coal as a primary source of energy. In light of climate change and the energy transition in the European Union, it is increasingly important to analyse the carbon footprint of individual economic sectors. The aim of this review article is to present an analysis of the carbon footprint of the hard coal sector in Poland against the background of the EU’s climate neutrality policy. The paper reviews EU strategic documents, such as the European Green Deal, the ”Fit for 55” package, and the REPowerEU and Clean Industrial Deal initiatives, in …
Plasma-Generated Ozone For Odor Removal, Jordan Marot
Plasma-Generated Ozone For Odor Removal, Jordan Marot
Seton Hall University Dissertations and Theses (ETDs)
Ozone (O3) is gaining popularity for its use in industrial and environmental applications, including water treatment, air purification, disinfection, and odor remediation. As a powerful oxidizing agent, ozone is highly effective in destroying harmful bacteria and degrading hazardous gas pollutants such as hydrogen sulfide (H2S). Dielectric barrier discharge (DBD) reactors are widely used for commercial ozone production under atmospheric-pressure conditions. However, ozone yield and selectivity are strongly influenced by operating parameters, particularly gas flow rate, which affects residence time, energy transfer, and competing byproduct chemistry.
This study explores the influence of the air flow rate on …
Mineral Composition-Driven Competitive Adsorption Behavior Of Superplasticizer In Recycled Concrete Powder-Cement Pastes: Quantification And Validation, Junpeng Du, Tongsheng Zhang, Hongyan Ma, Peiliang Shen, Yiqun Guo, Siqing Zeng, Jiangxiong Wei, Qijun Yu
Mineral Composition-Driven Competitive Adsorption Behavior Of Superplasticizer In Recycled Concrete Powder-Cement Pastes: Quantification And Validation, Junpeng Du, Tongsheng Zhang, Hongyan Ma, Peiliang Shen, Yiqun Guo, Siqing Zeng, Jiangxiong Wei, Qijun Yu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Recycled concrete powder (RCP) exhibits pronounced variability in mineral component contents, which leads to competitive adsorption of superplasticizers in RCP-Portland cement (PC) pastes and consequently to mineral composition-dependent deviations in rheological properties. In this study, limestone powder (LSP), quartz powder (QZP), and hardened paste powder (HPP) were used to simulate the main components of RCP. Effects of RCPs with target components on the rheological properties of blended cement paste were investigated, and a competitive-adsorption coefficient (CC) was proposed to quantify the competitive adsorption of superplasticizer. Results showed that increasing LSP-enriched RCP content reduced the yield stress of cement paste, primarily …
Effects Of Ab Mix Hydroponic Solution And Ameliorant Mixtures On Cayenne Pepper Growth And Yield In An Inceptisols, Tien Turmuktini, Betty Natalie Fitriatin, Tualar Simarmata, Firda Widayanti, Nuryanti, Lia Amalia, Elly Roosma Ria, Linlin Parlinah
Effects Of Ab Mix Hydroponic Solution And Ameliorant Mixtures On Cayenne Pepper Growth And Yield In An Inceptisols, Tien Turmuktini, Betty Natalie Fitriatin, Tualar Simarmata, Firda Widayanti, Nuryanti, Lia Amalia, Elly Roosma Ria, Linlin Parlinah
Jurnal Kultivasi
Cayenne pepper (Capsicum frustescens L.) cultivation faces several problems, including acidic pH and inadequate nutrient management. These problems can be addressed by using a mixture of various ameliorants and AB mix nutrient solutions. This study aimed to determine the effect of ameliorant mixture dosage and AB mix solution concentration on soil chemical properties, growth, and yield of cayenne pepper. The experiment used a randomized block design, consisting of two factors: nutrient solution concentration and ameliorant dosage. The factor of nutrient solution concentration consisted of four levels, i.e., 700, 1000, 1300, and 1600 ppm, while the factor of ameliorant dosage also …
Enhancing Algae Biofilm Quantity And Value Through Controlled Light Intensity For Treatment Of Municipal Anaerobic Digestor Effluent, Joshua D. Wintch, Ronald C. Sims
Enhancing Algae Biofilm Quantity And Value Through Controlled Light Intensity For Treatment Of Municipal Anaerobic Digestor Effluent, Joshua D. Wintch, Ronald C. Sims
Biological Engineering Student Research
Rotating algae biofilm reactors (RABRs) have been shown to remove nutrients from wastewater and to cultivate algae for bioproducts. Another key variable in RABR technology for cultivating microalgae biomass is light intensity. The goal of this study was to address a gap in the design and operation of algae biofilm reactors by analyzing the effects of light intensity on biomass quality and quantity, chemical precipitation of phosphorus, and phosphorus uptake into biomass. This study utilized a triplicate laboratory-scale experiment with PAR intensities from 10 to 2000 µmol m−2·s−1. Municipal wastewater anaerobic digester effluent (ADE) was utilized …
Rickettsia Africae Discovered In A Short-Term Urban Traveller To South Africa: A Case Report, Zunairah Sikder
Rickettsia Africae Discovered In A Short-Term Urban Traveller To South Africa: A Case Report, Zunairah Sikder
Binghamton University Undergraduate Journal
Rickettsia Africae is a pathogen that causes African tick-bite fever (ATBF). Transmission typically occurs from ticks within the Central and South African regions. Previous studies suggested that ATBF is not uncommon amongst travelers to rural sub-Saharan Africa, especially during the rainy months of November through April. However, this case report highlights a woman who contracted ATBF in novel conditions. The 70-year-old woman reported travelling strictly to and from the local church and hotel for her four-day stay in July. After returning to America, the patient experienced extreme irritation on her arm, as well as complaints of headaches. She presented to …
A Message From The Managing Editor, Carissa Bayack
A Message From The Managing Editor, Carissa Bayack
Binghamton University Undergraduate Journal
A message from the 2025-2026 Managing Editor of the Binghamton University Undergraduate Journal, Carissa Bayack.
Correlation And Redundancy Analysis Of Statistical Features For Permanent Magnet Synchronous Motor Fault Detection, Ibrahim Muhammad, Benjamin Olabisi Akinloye
Correlation And Redundancy Analysis Of Statistical Features For Permanent Magnet Synchronous Motor Fault Detection, Ibrahim Muhammad, Benjamin Olabisi Akinloye
Mansoura Engineering Journal
Feature selection plays a critical role in designing efficient and interpretable condition monitoring frameworks for electrical drives. In this paper, a correlation analysis of statistical and spectral features is performed for Permanent Magnet Synchronous Motor (PMSM) fault detection in naval windlass systems. Using both simulated data from a MATLAB/Simulink model and real shipboard current signals acquired from five Nigerian Navy vessels over one-month monitoring periods, higher-order statistical moments (Mean, Variance, Standard Deviation, Skewness, Kurtosis) and the Fault Severity Index (FSI) were computed alongside Total Harmonic Distortion (THD). Pearson correlation coefficients were employed to quantify feature relationships under healthy and faulty …
Numerical Parametric Assessment Of Lap-Spliced Reinforced Concrete Beams With Steel, Gfrp, And Hybrid Reinforcement, Salah Mohsen, Mohamed H. Makhlouf, Marwa I. Badawi, Gamal Ismail
Numerical Parametric Assessment Of Lap-Spliced Reinforced Concrete Beams With Steel, Gfrp, And Hybrid Reinforcement, Salah Mohsen, Mohamed H. Makhlouf, Marwa I. Badawi, Gamal Ismail
Mansoura Engineering Journal
This study presents a numerical parametric investigation into the flexural performance of reinforced concrete beams incorporating different reinforcement types and lap splice configurations, based on finite element modeling using ABAQUS and benchmarked against ACI 440 design provisions. Sixteen beam models were developed and analyzed under four-point bending to evaluate the influence of reinforcement type (steel, GFRP, and hybrid), splice length, and number of spliced bars on the global structural response. The results indicate that splice detailing plays a governing role in controlling failure mode and ductility. Beams without lap splices exhibited enhanced ductile behavior, whereas shorter splice lengths and higher …
A Functional Ultrasound Imaging (Fusi) Pipeline For Investigating Brain-Wide Hemodynamics During Torpor-Like Hypothermia, Owen J. Culver
A Functional Ultrasound Imaging (Fusi) Pipeline For Investigating Brain-Wide Hemodynamics During Torpor-Like Hypothermia, Owen J. Culver
McKelvey School of Engineering Graduate Student Theses & Dissertations
Torpor is a regulated state of reduced metabolic demand that enables animals to conserve energy under unfavorable environmental conditions. The controlled induction of a similar state, termed synthetic torpor, has potential applications in ischemic protection, organ preservation, cancer treatment, radiation protection, and long-term spaceflight. Although neuronal populations within the preoptic hypothalamus have been shown to initiate hypothermic and hypometabolic states, the distributed cerebral hemodynamic dynamics accompanying their induction and maintenance remain poorly understood. In this thesis, we developed an accessible functional ultrasound imaging (fUSI) acquisition and analysis pipeline and applied it to investigate cerebral hemodynamics during chemogenetic activation of the …
Bc-Xaia: A Blockchain-Based Recruitment Framework With Explainable Ai And Smart Contract Integration, Heba Allah Adel, Sayed Abdelgaber, Wessam H. El-Behaidy
Bc-Xaia: A Blockchain-Based Recruitment Framework With Explainable Ai And Smart Contract Integration, Heba Allah Adel, Sayed Abdelgaber, Wessam H. El-Behaidy
Computer Science
Ensuring transparency and security in digital recruitment systems remains a critical challenge. This study proposes BC-XAIA, a unified framework that integrates blockchain, smart contracts, explainable artificial intelligence (XAI), and agile methodology to enable consistent, secure, and traceable recruitment decision-making. Smart contracts, implemented in Solidity and deployed using the Remix Ethereum IDE, automate key processes such as identity verification, data access control, and behavior monitoring, reducing reliance on centralized intermediaries. To support intelligent decision-making, multiple machine learning models, including Random Forest, Logistic Regression, and Support Vector Machine (SVM), were trained and evaluated on a recruitment dataset, with Random Forest achieving the …
Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance, Ava T. Wilkey, Ryan J. Thibaudeau, Stephen A. Whitmore
Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance, Ava T. Wilkey, Ryan J. Thibaudeau, Stephen A. Whitmore
Mechanical and Aerospace Engineering Student Publications and Presentations
Acrylonitrile butadiene styrene (ABS) has emerged as a widely adopted solid fuel for hybrid rocket propulsion due to its compatibility with fused deposition modeling and favorable regression characteristics. As a terpolymer, however, ABS monomer mass fractions vary across commercial sources, introducing thermochemical variability that is rarely accounted for in propulsion modeling. This study presents a sensitivity analysis examining how compositional variability among ten commercially available ABS feedstock propagates into hybrid rocket performance predictions. Each source was characterized using bomb calorimetry and Fourier-transform infrared spectroscopy to derive source-specific constituent mass fractions and enthalpies of formation, which were supplied to NASA’s Chemical …
Dual-Polymer Concrete With Recycled Pet And Hdpe Aggregates: Mechanical And Durability Performance Assessment, Omar Abd El Mageed Hammouda
Dual-Polymer Concrete With Recycled Pet And Hdpe Aggregates: Mechanical And Durability Performance Assessment, Omar Abd El Mageed Hammouda
Theses and Dissertations
This study investigates the fresh, mechanical, durability, thermal, performance as well as preliminary financial aspects of dual-polymer concrete incorporating recycled polyethylene terephthalate (PET) as a partial replacement for fine aggregate and recycled high-density polyethylene (HDPE) as a partial replacement for coarse aggregate, with silica fume as a supplementary cementitious material held constant at 10% by weight of cement. The study responds to the convergence of two pressing challenges in the Egyptian context: the scale of plastic waste mismanagement, which results in widespread informal open burning and environmental contamination, and the high operational energy demand of residential buildings in Egypt's hot …
Prototype Ai Assistant For Private And Student Pilots, Shawn De La Osa
Prototype Ai Assistant For Private And Student Pilots, Shawn De La Osa
Discovery Day - Daytona Beach
This research explores AI-based decision support in light general aviation (e.g., Cessna 172, Diamond), where onboard hardware is typically too limited for modern AI. In aviation, AI has the potential to act as a “copilot” supporting planning, execution, and assessment, particularly since single pilots must simultaneously aviate, navigate, and communicate under high workload. However, although AI adoption is rapidly expanding, many implementations are introduced without fully incorporating human-centered design processes that account for pilot workflow and workload. We leverage a human factors process in this research. First, we design and evaluate a cloud-based AI copilot . The system leverages Starlink …