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Articles 6991 - 7020 of 197942
Full-Text Articles in Engineering
Predicting Simulation Times For Multiphase Thermal-Hydraulic Models, Andrew Yule, Andrew Taylor
Predicting Simulation Times For Multiphase Thermal-Hydraulic Models, Andrew Yule, Andrew Taylor
SMU Data Science Review
Addressing the challenge of computationally intensive OLGA
simulations in the oil and gas industry, a machine learning framework is
developed for accurate runtime prediction. A specialized feature extraction
pipeline identifies key parameters—such as simulation time, time step,
number of branches, and section count—from OLGA input files that serve as
high-impact predictors. Multiple predictive models, including regression,
tree-based ensembles, and neural networks, are implemented to validate
accuracy and robustness. Results reveal that prioritizing simulations based on
predicted runtimes optimizes licensing resources and reduces operational
costs, making real-time scheduling more efficient. This research demonstrates
the effectiveness of data-driven runtime prediction in enhancing …
Ai-Driven Optimization Of Wind Energy Distribution In Texas Using Multi-Agent Reinforcement Learning, Waleed Amer, Owolabi Oluwadamilola, Bassey Ogbonnaya
Ai-Driven Optimization Of Wind Energy Distribution In Texas Using Multi-Agent Reinforcement Learning, Waleed Amer, Owolabi Oluwadamilola, Bassey Ogbonnaya
SMU Data Science Review
Abstract. The integration of large-scale wind power into modern electrical grids presents persistent challenges due to variability, curtailment, and compliance with operational constraints. This study proposes a multi-agent reinforcement learning (MARL) framework for optimizing wind energy distribution within the Texas power grid. The system employs three specialized agents—managing wind curtailment, storage utilization, and load adjustments—to collaboratively balance supply and demand under dynamic grid conditions. Using historical operational data from the Electric Reliability Council of Texas (ERCOT), the framework was trained and evaluated on a range of scenarios encompassing both typical and extreme operating conditions. Results demonstrate substantial performance improvements compared …
Development Of Composite Membranes And Nanofluid Absorbents Incorporating Surface-Functionalized Nanoparticles For Enhanced Co₂ Absorption In Gas–Liquid Membrane Contactors, Riya Ahammed Labeeb
Development Of Composite Membranes And Nanofluid Absorbents Incorporating Surface-Functionalized Nanoparticles For Enhanced Co₂ Absorption In Gas–Liquid Membrane Contactors, Riya Ahammed Labeeb
Thesis/ Dissertation Defenses
Natural gas sweetening demands the efficient removal of CO₂ to enhance heating value and prevent equipment corrosion. Gas–liquid membrane contactors (GLMCs) have garnered attention as promising solutions to traditional separation methods due to their modularity, high interfacial area, and energy efficiency. Nonetheless, they suffer from some serious challenges such as membrane wetting, while absorbents either exhibit low absorption capacity or high energy demands and corrosion. This work addresses these limitations through two complementary strategies. In the first, ZnO nanoparticles were hydrophobically functionalised and incorporated into polymer matrices to fabricate composite membranes with superior hydrophobicity and reduced pore wetting. In the …
Bio-Corrosion Studies On Novel Zr‑Co‑Ti Based Metallic Glass Alloys For Biomedical Implant Applications, Shubhra Shitole
Bio-Corrosion Studies On Novel Zr‑Co‑Ti Based Metallic Glass Alloys For Biomedical Implant Applications, Shubhra Shitole
Thesis/ Dissertation Defenses
The relentless pursuit of advanced biomaterials that synergistically combine high mechanical strength, exceptional corrosion resistance, and inherent biocompatibility is critical for next-generation medical implants. This research addresses this challenge through the development and multi-faceted evaluation of a novel library of Zr-Co-Ti-based metallic glasses (MGs); Zr60Co30Ti10, Zr55Co35Ti10, and Zr50Co40Ti10, fabricated via melt-spinning. The alloys were confirmed to be fully amorphous by X-ray diffraction (XRD), a structure underpinned by exceptional thermal stability, with the Zr60 composition exhibiting a larger supercooled liquid region (Δ𝑇𝑥) of …
Durability Of Basalt Fiber-Reinforced Polymer Bars In Moist Concrete Under Sustained Load, Osama Ahmed
Durability Of Basalt Fiber-Reinforced Polymer Bars In Moist Concrete Under Sustained Load, Osama Ahmed
Thesis/ Dissertation Defenses
This thesis is concerned with the long-term durability of basalt fiber-reinforced polymer (BFRP) bars embedded in moist concrete. The study focuses on the combined effects of exposure duration, elevated temperature, and sustained tensile stress, which together influence the mechanical and chemical stability of BFRP reinforcement in aggressive environments. The main objective is to evaluate the degradation mechanisms of BFRP bars subjected to coupled hygrothermal and mechanical conditions and to develop a predictive durability model capable of estimating service life under realistic climate scenarios. Concrete-encased BFRP bars were conditioned at three temperatures (20, 40, and 60°C), three durations (3, 6, and …
Diffog: Differentiable Policy Trajectory Optimization With Generalizability, Zhengtong Xu, Zichen Miao, Qiang Qiu, Zhe Zhang, Yu She
Diffog: Differentiable Policy Trajectory Optimization With Generalizability, Zhengtong Xu, Zichen Miao, Qiang Qiu, Zhe Zhang, Yu She
School of Industrial Engineering Faculty Publications
Imitation-learning-based visuomotor policies excel at manipulation tasks but often produce suboptimal action trajectories compared to model-based methods. Directly mapping camera data to actions via neural networks can result in jerky motions and difficulties in meeting critical constraints, compromising safety and robustness in real-world deployment. For tasks that require high robustness or strict adherence to constraints, ensuring trajectory quality is crucial. However, the lack of interpretability in neural networks makes it challenging to generate constraint-compliant actions in a controlled manner. This article introduces differentiable policy trajectory optimization with generalizability (DiffOG), a learning-based trajectory optimization framework designed to enhance visuomotor policies. By …
Energy Management Of Battery Supercapacitor Hybrid Storage In Electric Vehicles With Solar Integration: Review, Islam Sayed, Yousef Mahmoud
Energy Management Of Battery Supercapacitor Hybrid Storage In Electric Vehicles With Solar Integration: Review, Islam Sayed, Yousef Mahmoud
Faculty Articles
Hybrid energy storage systems (HESS) integrating batteries and supercapacitors offer a promising solution to overcome the limitations of battery-only architectures in electric vehicles (EVs). By leveraging the high energy density of batteries and the high power density of supercapacitors, HESS can enhance power delivery, improve energy efficiency, and extend battery lifespan. The effectiveness of HESS, however, is largely determined by the energy management system (EMS) that coordinates power flow under dynamic driving conditions. Unlike existing reviews, this work addresses common gaps in the literature, including the lack of industrial energy storage component examples, limited coverage of recently developed EMS strategies, …
Assessment Of Traffic Related Air Pollution Effects On Indoor Air Quality In Educational Buildings, Ahmed Gouda Mohamed, Mohamed Sherif Dr., Fahad Alqahtani Dr., Yousif Deeb Eng.
Assessment Of Traffic Related Air Pollution Effects On Indoor Air Quality In Educational Buildings, Ahmed Gouda Mohamed, Mohamed Sherif Dr., Fahad Alqahtani Dr., Yousif Deeb Eng.
Civil Engineering
This study assesses the impact of traffic-related air pollution (TRAP) on indoor air quality (IAQ) within a Riyadh school. The main objectives are to pinpoint factors influencing IAQ and to evaluate the effectiveness of existing ventilation and filtration systems. Air quality Egg sensors monitored nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM1.0, PM2.5, PM10) levels both indoors and outdoors over 30 days. Findings revealed average indoor PM2.5 and PM10 concentrations of 14.09 µg/m3 and 18.15 µg/m3, respectively, while outdoor concentrations averaged 20.63 µg/m3 and 27.88 µg/m3. A strong positive correlation was observed between indoor and outdoor PM levels, …
Effect Of Pore Structure On Void Formation In Lotus Type Porous Cu/Solder Joints, Jin-Kwan Lee, Keun-Soo Kim, Jae-Ho Shin, Seung-Min Cho, Sung Yi, Sang-Wook Kim, Soong-Keun Hyun
Effect Of Pore Structure On Void Formation In Lotus Type Porous Cu/Solder Joints, Jin-Kwan Lee, Keun-Soo Kim, Jae-Ho Shin, Seung-Min Cho, Sung Yi, Sang-Wook Kim, Soong-Keun Hyun
Mechanical and Materials Engineering Faculty Publications and Presentations
Void formation in solder joints is a critical reliability challenge in high-power electronics, as it degrades thermal dissipation and mechanical integrity. This study investigates a novel structural approach to mitigate this issue. The influence of an uni-directional porous structure in lotus-type porous Cu (Louts Cu) on void formation in solder joints was investigated. All pores in lotus Cu were infiltrated with SAC305 (Sn–3.0Ag–0.5Cu) solder paste. Then reflow soldering was performed under three different atmospheric conditions: air, nitrogen, and vacuum. The microstructure and void fraction were characterized. The shear strength was evaluated. The shear strength of Louts Cu joint was slightly …
2025 - The Sixth Annual Fall Symposium Of Student Scholars
2025 - The Sixth Annual Fall Symposium Of Student Scholars
Symposium of Student Scholars Program Books
The full program book from the Fall 2025 Symposium of Student Scholars, held in November 2025. Includes abstracts from the presentations and posters.
Field Canals Improvement Projects Duration Prediction: A Comparative Analysis Of Machine Learning Models, Hania Ghouse, Ukaegbu Chinonso Ishmael, Edgar Dario Obando-Paredes, Hashem Shafik Shakir, Ali Al-Bayaty
Field Canals Improvement Projects Duration Prediction: A Comparative Analysis Of Machine Learning Models, Hania Ghouse, Ukaegbu Chinonso Ishmael, Edgar Dario Obando-Paredes, Hashem Shafik Shakir, Ali Al-Bayaty
Electrical and Computer Engineering Faculty Publications and Presentations
There are several essential elements in project construction management to be studied appropriately, and priority to these elements, such as cost and duration, is predominantly interesting to be investigated. In this research, the duration of field canal improvement projects (DFCIP) was predicted using two relatively new machine learning (ML) models - the Multivariate Adaptive Regression Spline (MARS) and Extreme Learning Machine (ELM). The targeted DFCIP was calculated using other dependent parameters, such as the length of the pipe, years of construction, the geographical zone of the network, the supplied area with water, and finally the actual cost of the field …
Yolo-Based Marine Search And Rescue Using Uav Multi-Dataset In Challenging Weather Conditions, Aysha Alshebli
Yolo-Based Marine Search And Rescue Using Uav Multi-Dataset In Challenging Weather Conditions, Aysha Alshebli
Thesis/ Dissertation Defenses
Object detection models, powered by deep learning and computer vision, are revolutionizing marine search and rescue (SAR). By analyzing aerial imagery and live drone footage, these systems automatically identify critical targets like survivors, life rafts, and debris across vast and treacherous ocean areas. This capability enhances operational efficiency by reducing human workload and accelerating response times, even in challenging conditions such as poor light, high seas, or cluttered backgrounds. The result is continuous monitoring, faster decision-making, and a significantly improved probability of successful rescue.
Departing from prior methodologies, YOLO introduced a paradigm shift through its single-shot architecture, which concurrently predicts …
Investigate The Performance And Airtightness Of Short Carbon Fiber Reinforced Polypropylene Pressure Vessel Fabricated Via Fdm 3d Printing, Trad Abdallah Abualbandora
Investigate The Performance And Airtightness Of Short Carbon Fiber Reinforced Polypropylene Pressure Vessel Fabricated Via Fdm 3d Printing, Trad Abdallah Abualbandora
Thesis/ Dissertation Defenses
This work offers a thorough investigation into the performance of 3D-printed, short carbon fiber-reinforced polypropylene pressure vessels, specifically designed for gas storage in demanding sectors like aerospace, drones, and medical equipment, operating within a pressure range of 0-10 bar. A key challenge in FDM additive manufacturing of pressure vessels is achieving airtightness due to the inherent porosity and micro-gaps resulting from the printing process. To address this, the fabricated vessel models were coated with various commercially available materials to effectively fill these microscopic imperfections and ensure the necessary tightness. Spray coating and adhesion coating materials were applied to the outer …
Notes For Contributors, Editors Space And Defense
Notes For Contributors, Editors Space And Defense
Space and Defense
No abstract provided.
Review Article: International Relations: State Of The Field. Paul R. Viotti’S Kenneth Waltz: An Intellectual Biography (Ny: Columbia University Press, 2023)., Damon Coletta
Space and Defense
In this review essay, Damon Coletta examines Paul R. Viotti’s Kenneth Waltz: An Intellectual Biography (Columbia University Press, 2023), positioning it as both a tribute to and a reexamination of one of International Relations’ most influential theorists. Viotti, a former student of Waltz, reconstructs the intellectual development of structural realism—tracing its philosophical and methodological roots from Man, the State, and War (1959) to Theory of International Politics (1979)—while situating Waltz’s scholarship within the geopolitical and academic transformations of the Cold War era. Coletta highlights Viotti’s skillful balance between biography and disciplinary analysis, showing how Waltz’s systemic approach to international politics …
Review Article: Monetary Power And National Security. A 10th Anniversary Review Of Paul R. Viotti’S The Dollar And National Security: The Monetary Component Of Hard Power (Stanford, Ca: Stanford University Press, 2014), Ricardo Crespo
Space and Defense
In this ten-year retrospective, Ricardo A. Crespo reassesses Paul R. Viotti’s The Dollar and National Security (2014) as a foundational text bridging the fields of monetary policy and national security. Viotti’s central thesis—that military power ultimately depends on a stable and privileged monetary foundation—has only grown more relevant amid today’s weaponization of finance and the geopolitics of sanctions. Crespo highlights Viotti’s argument that sustaining the U.S. dollar’s global dominance requires cooperative security and international consensus, noting how historical parallels—from the sterling gold standard to Bretton Woods—illustrate the fragility of monetary hegemony under fiscal mismanagement or political fragmentation. The review situates …
Plan To Fail By Failing To Plan: Deterring Prc Nuclear Force Expansion, Mark Tang, Grace Buettner
Plan To Fail By Failing To Plan: Deterring Prc Nuclear Force Expansion, Mark Tang, Grace Buettner
Space and Defense
This article argues that the United States must adapt its nuclear deterrence strategy to counter the People’s Republic of China’s (PRC) accelerating nuclear force expansion. As Beijing seeks to achieve nuclear parity with Washington—projecting up to 1,500 warheads by 2035—the authors contend that U.S. strategy must evolve from Cold War-era models to meet the Indo-Pacific’s unique strategic challenges. They propose the establishment of a Pacific Air Forces (PACAF) A-10 Strategic Deterrence and Nuclear Integration Division, modeled after its European counterpart, to enhance regional nuclear planning, integration, and allied assurance. The paper emphasizes the concept of escalation domination, arguing …
Earth’S Orbital Prison: Codifying Customary Law To Prevent Environmental Catastrophe In Space, Jacob Cook
Earth’S Orbital Prison: Codifying Customary Law To Prevent Environmental Catastrophe In Space, Jacob Cook
Space and Defense
This article argues that the accelerating proliferation of space debris in low Earth orbit (LEO) poses an existential threat to the sustainability of the orbital environment—one comparable in strategic gravity to nuclear deterrence during the Cold War. Drawing on liberal internationalist theory and the concept of Mutually Assured Destruction (MAD), the paper asserts that deliberate satellite destruction through anti-satellite (ASAT) testing and negligent debris generation risk triggering a self-sustaining cascade of collisions known as the Kessler Syndrome. Existing treaties, including the Outer Space Treaty and the Artemis Accords, lack enforceable mechanisms to prevent such catastrophic harm. To fill this …
Enabling The Decisive Advantage, Mallory Stewart
Enabling The Decisive Advantage, Mallory Stewart
Space and Defense
In her keynote address at the 2025 USSPACECOM Legal Conference, former Assistant Secretary of State Mallory Stewart argues that law, norms, and international cooperation are central to maintaining the United States’ “decisive advantage” in outer space. She emphasizes that rules and standards—far from constraining innovation or strategic flexibility—enhance predictability, reduce risk, and empower responsible competition. Stewart highlights the success of initiatives such as the Artemis Accords, the U.S. commitment to forgo destructive direct-ascent anti-satellite (ASAT) tests, and the global expansion of Space Situational Awareness (SSA) agreements as examples of how legal and normative frameworks reinforce stability and collaboration. She …
Space, Law, And National Security, Stephen Whiting
Space, Law, And National Security, Stephen Whiting
Space and Defense
In his address to the 2025 USSPACECOM Legal Conference, General Stephen Whiting underscores the indispensable role of legal professionals in shaping the future of military space operations and maintaining the rules-based international order in an increasingly contested domain. He outlines the rapid transformation of the space environment driven by commercial innovation, technological proliferation, and the accelerating threat landscape posed by adversaries such as China and Russia. The speech highlights U.S. Space Command’s three “moral responsibilities”: ensuring the delivery of space capabilities to the joint force and allies, protecting and defending critical space assets, and safeguarding the joint force from space-enabled …
Allied Abandonment And Nuclear Proliferation: Lessons From South Korea’S Secret Nuclear Program, Joseph W. Brown
Allied Abandonment And Nuclear Proliferation: Lessons From South Korea’S Secret Nuclear Program, Joseph W. Brown
Space and Defense
This article examines South Korea’s clandestine nuclear weapons program of the 1970s as a historical case study for understanding how perceptions of allied abandonment can drive nuclear proliferation. Drawing on alliance theory and archival evidence, the paper situates Seoul’s nuclear ambitions within the context of U.S. burden-shifting under the Nixon Doctrine, subsequent troop withdrawals, and diplomatic retrenchment across East Asia. Despite the continued U.S. military presence, South Korean leaders interpreted American rhetoric and policy actions as signaling a waning commitment to the alliance, prompting the initiation of a secret weapons program under President Park Chung-hee. The study identifies two enduring …
In Defense Of Space Offense, Alexander R. Kleitz
In Defense Of Space Offense, Alexander R. Kleitz
Space and Defense
This article argues that in the unique physical and operational environment of outer space, offensive operations hold intrinsic advantages over defensive ones. Drawing upon classical military theorists such as Clausewitz and Corbett, the author contends that the traditional dominance of the defensive form of war—rooted in terrestrial conditions—does not extend to celestial conflict. The transparency and remoteness of the space domain neutralize key defensive benefits, such as proximity to supply bases, concealment, and fortified positions, while also diminishing the factors that typically cause terrestrial offensives to culminate. Consequently, space conflict favors the side that seizes and maintains the initiative through …
Raising Public Awareness On Space Themes: Analysis Of Brazilian Space Policy Using Data From Google Trends, Andrea Felippe Cabello, Michele Melo
Raising Public Awareness On Space Themes: Analysis Of Brazilian Space Policy Using Data From Google Trends, Andrea Felippe Cabello, Michele Melo
Space and Defense
This study examines whether Brazil’s national space policy goal of increasing public awareness of space activities has been met, using Google Trends data as a proxy for public interest. While public perception surveys are scarce outside the United States, web-based data provide a cost-effective and timely alternative for gauging public engagement. The authors analyzed two decades (2004–2024) of Brazilian search activity related to space topics, institutions, technologies, companies, and missions. Results show no clear upward trend in public interest, suggesting that Brazil’s stated policy objectives of raising awareness have not yet translated into measurable outcomes. Although searches related to government …
Costly Signals In Space: Increasing Credibility Via Strategic Disclosure, Wendy N. Whitman Cobb
Costly Signals In Space: Increasing Credibility Via Strategic Disclosure, Wendy N. Whitman Cobb
Space and Defense
As space becomes an increasingly vital domain for national security, debates persist about how much secrecy should surround U.S. military space programs. This article argues that the strategic declassification and disclosure of selected space capabilities can strengthen U.S. deterrence by enhancing the credibility of deterrent threats. Drawing from theories of costly signaling and audience costs, the paper introduces strategic disclosure as a novel form of costly signal. Such disclosure imposes bureaucratic and operational costs while exposing capabilities to potential adversary countermeasures—thereby demonstrating resolve and seriousness of intent. In tandem, greater public transparency about space programs cultivates informed domestic audiences capable …
Space And Defense Vol. 16 No. 2 Editor's Note, Damon Coletta
Space And Defense Vol. 16 No. 2 Editor's Note, Damon Coletta
Space and Defense
No abstract provided.
Space And Defense Vol. 16 No. 2 Table Of Contents, Editors Space And Defense
Space And Defense Vol. 16 No. 2 Table Of Contents, Editors Space And Defense
Space and Defense
No abstract provided.
Space And Defense Vol. 16 No. 2 Front Matter, Editors Space And Defense
Space And Defense Vol. 16 No. 2 Front Matter, Editors Space And Defense
Space and Defense
No abstract provided.
Space & Defense Volume 16 Issue 2 Fall 2025 (Whole Issue), Editors Space And Defense
Space & Defense Volume 16 Issue 2 Fall 2025 (Whole Issue), Editors Space And Defense
Space and Defense
No abstract provided.
Turboindex: Making A Page-Based Db Index Both Memory-Space And Disk-I/O Efficient, Sujit Maharjan, Shuaihua Zhao, Song Jiang
Turboindex: Making A Page-Based Db Index Both Memory-Space And Disk-I/O Efficient, Sujit Maharjan, Shuaihua Zhao, Song Jiang
Computer Science and Engineering Faculty Publications - Archive
Traditional Database (DB) systems use a DB buffer, a page-based cache management system, to load data and indexes from block storage devices into byte-addressable main memory. However, this approach is inefficient in terms of space and I/O when key-value pair sizes are significantly smaller than the page size. Inserting a single key-value pair results in reading and writing an entire page, consuming a full page's worth of memory in the buffer. Moreover, the entire page is immediately loaded even when just a single key-value pair is inserted into the page. Also, an infrequently accessed page is likely to be evicted …
Mechanisms Of Correlated Neuronal Activity In The Globus Pallidus, Hamza Albawaliz
Mechanisms Of Correlated Neuronal Activity In The Globus Pallidus, Hamza Albawaliz
Electronic Theses and Dissertations
This thesis investigates the mechanisms of correlated neuronal activity in the globus pallidus externus (GPe), a key structure in the basal ganglia. Neuronal activity in the GPe is reportedly decorrelated in healthy subjects but can become highly correlated in Parkinson’s disease. However, high-density neuronal recordings in the GPe of healthy rats reveal a surprising degree of correlated activity. This raises the question of whether intrinsic properties or network connectivity alone can account for such patterns. To explore this, a computational model was developed in which GPe neurons are represented as coupled phase oscillators influenced by experimentally derived phase-response curves and …