Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 3931 - 3960 of 195925

Full-Text Articles in Engineering

A Runtime-Adaptive Transformer Neural Network Accelerator On Fpgas, Ehsan Kabir, Jason D. Bakos, David Andrews, Miaoqing Huang Feb 2026

A Runtime-Adaptive Transformer Neural Network Accelerator On Fpgas, Ehsan Kabir, Jason D. Bakos, David Andrews, Miaoqing Huang

Electrical Engineering and Computer Science Faculty Publications and Presentations

Transformer neural networks (TNN) excel in natural language processing (NLP), machine translation, and computer vision (CV) without relying on recurrent or convolutional layers. However, they have high computational and memory demands, particularly on resource constrained devices like FPGAs. Moreover, transformer models vary in processing time across applications, requiring custom models with specific parameters. Designing custom accelerators for each model is complex and time-intensive. Some custom accelerators exist with no runtime adaptability, and they often rely on sparse matrices to reduce latency. However, hardware designs become more challenging due to the need for application-specific sparsity patterns. This paper introduces ADAPTOR, a …

Go to article

City Farm Slo Sheep Shed Concrete Slab Installation, Jake Simkins, Elijah Burt, Finnbarr Kelly Feb 2026

City Farm Slo Sheep Shed Concrete Slab Installation, Jake Simkins, Elijah Burt, Finnbarr Kelly

Construction Management

The City Farm SLO Sheep Shed Foundation Slab project, undertaken by California Polytechnic State University, San Luis Obispo Construction Management students, aimed to improve the structural integrity and longevity of an existing livestock shelter at City Farm SLO. Initiated in coordination with Shane Lovell, owner and operator of City Farm SLO, and guided by Construction Management faculty member Mark Montoya, the project integrated community service with practical application of structural concrete construction principles. The scope involved temporarily removing an existing sheep shed from within an active livestock pen, preparing subgrade in muddy winter conditions, and constructing a reinforced 5-inch, 4500 …

Go to article

Optical Fiber Sensors Using Vernier Effect In Cascaded Fiber Interferometers, Zhouchen Wang Feb 2026

Optical Fiber Sensors Using Vernier Effect In Cascaded Fiber Interferometers, Zhouchen Wang

Dissertations

The optical Vernier effect has emerged as a powerful tool to enhance the sensitivity of optical fiber interferometer-based sensors, opening new opportunities for developing highly sensitive fiber sensing systems. Optical fiber interferometric sensors based on the Vernier effect are widely used for various applications due to their ultra-compact size, high sensitivity, immunity to electromagnetic interference, electrical isolation, resistance to harsh environments, flexibility, multiplexing capability, and remote operation. The aim of this doctoral thesis was to gain a deeper fundamental understanding of the Vernier effect in optical fiber structures and to develop and investigate a series of novel Vernier effect optical …

Go to article

Fiber-Reinforced Foam Concrete Using Quarry Micro Fines And Sugarcane Bagasse Ash: A Box–Behnken Design Optimization And Performance Assessment, Ravindaran Thangavel, Sanjay Kumar Shukla, Mini K. Madhavan Feb 2026

Fiber-Reinforced Foam Concrete Using Quarry Micro Fines And Sugarcane Bagasse Ash: A Box–Behnken Design Optimization And Performance Assessment, Ravindaran Thangavel, Sanjay Kumar Shukla, Mini K. Madhavan

Research outputs 2022 to 2026

Foam concrete is well-appreciated for its thermal and acoustic benefits and is prepared by introducing foam into cement slurry/mortar. The current research examines the feasibility of Quarry Micro Fines (QMF), a waste generated from the quarries during sand manufacturing, as a substitute for fine aggregate in the preparation of foam concrete. During the preparation of concrete, a portion of cement is replaced with sugarcane bagasse ash (SCBA), while polypropylene (PP) fibers are added to improve the shrinkage resistance and tensile strength of the resulting concrete. A three-factor, three-level Box–Behnken Design (BBD) in Response Surface Methodology (RSM) was used to optimize …

Go to article

The Impact Of A Structured Training Program On The Depth Perception Of Ab Initio Drone Pilots, John Murray, Steven Richardson, Keith Joiner, Graham Wild Feb 2026

The Impact Of A Structured Training Program On The Depth Perception Of Ab Initio Drone Pilots, John Murray, Steven Richardson, Keith Joiner, Graham Wild

Research outputs 2022 to 2026

Highlights: What are the main findings? First empirical assessment of depth-perception improvement from an official RPAS training program. Demonstrates measurable perceptual-skill gains despite no explicit syllabus objective for depth perception. What are the implications of the main findings? Conducted in authentic operational settings under regulated conditions, ensuring strong external validity. Establishes a validated baseline for future comparative and longitudinal studies on perceptual training effectiveness. Flying remotely requires accurate perception of the environment to ensure safe operation. While remotely piloted aircraft (RPA) bring unique opportunities, they also present new challenges for the pilot, including exercising accurate depth perception. The impact of …

Go to article

The Role Of Spatial Abilities In Stem Learning And The Influence Of Individual Differences, Styliani Malkogeorgou Feb 2026

The Role Of Spatial Abilities In Stem Learning And The Influence Of Individual Differences, Styliani Malkogeorgou

Masters

Students’ decisions to pursue education and careers in Science, Technology, Engineering, and Mathematics (STEM) are shaped by an interplay of cognitive, social, and motivational factors. Spatial ability is among the most reliable predictors of STEM success, yet less is known about how it relates to students’ STEM attitudes and aspirations, and whether visuospatial working memory (VSWM) explains this relationship. This study tested the hypotheses that (a) stronger spatial abilities and VSWM would be associated with more positive STEM attitudes and stronger STEM aspirations, and (b) VSWM would mediate the relationship between spatial abilities and STEM attitudes/aspirations, while examining the influence …

Go to article

Hybrid Data-Driven Cement-Stabilized Soil Design: An Integration Of Machine Learning, Multi-Objective Optimization, And Life Cycle Assessment, Chikezie Chimere Onyekwena, Yunli Li, Ikenna J. Okeke, Ubani Obinna Uzodimma, Monday Uchenna Okoronkwo, Wenping Wu Feb 2026

Hybrid Data-Driven Cement-Stabilized Soil Design: An Integration Of Machine Learning, Multi-Objective Optimization, And Life Cycle Assessment, Chikezie Chimere Onyekwena, Yunli Li, Ikenna J. Okeke, Ubani Obinna Uzodimma, Monday Uchenna Okoronkwo, Wenping Wu

Chemical and Biochemical Engineering Faculty Research & Creative Works

Soil stabilization is crucial in geotechnical engineering, yet conventional methods are often time-consuming, resource-intensive, and environmentally unsustainable. Despite growing interest in Machine Learning (ML) and optimization tools for mix design, few studies integrate these methods with decision-making techniques and environmental assessment to support practical implementation. This study proposes a hybrid data-driven framework for predicting strength, optimizing mix compositions, and evaluating environmental impacts via life cycle assessment of cement-stabilized soft soils. Six ML models were evaluated, and the top-performing eXtreme Gradient Boosting (XGB) model was further improved using the Grey Wolf Optimizer (GWO). The optimized XGB-GWO model, integrated with a polynomial …

Go to article

Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo Feb 2026

Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Struvite, the stable hydration product and primary strength phase in magnesium ammonium phosphate cement (MAPC), derived from wastewater treatment, has recently been utilized as a sustainable additive to Portland cement (PC). However, its impacts on cement hydration kinetics, pore refinement, rheology, and the mechanisms underlying these processes have not been comprehensively studied. This study developed Portland cement-struvite (PCS) systems by replacing PC with 3–20 % struvite (ST wt.%: PCS3–PCS20) and evaluated these processes using isothermal calorimetry, 3D micro-computed tomography (μXCT), time-dependent rheometry, X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), and the Krstulović-Dabić (K-D) model. The FTIR/XRD confirmed the coexistence …

Go to article

Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan Feb 2026

Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

An experimental investigation was conducted to evaluate the thermal conductivity (TC) and local heat-transfer coefficients (LHTCs) of nanofluids containing alumina (Al2O3), hematite (Fe2O3), and copper oxide (CuO) nanoparticles dispersed in deionized water. A newly developed non-invasive LHTC probe was integrated into the inner wall of the test section to enable direct quantification of interfacial heat-transfer performance. The measurements were conducted under laminar and turbulent flow conditons across Reynolds numbers ranging from 1000 to 10,000. The selected nanoparticles were chosen based on their high intrinsic thermal conductivity, cost effectiveness, and, in the case …

Go to article

Artificial Neural Network Model For Predicting Fatigue Endurance Limit Of Hot Mix Asphalt Using Uniaxial Tension–Compression Tests, Prashanta Kumar Acharjee, Mayzan Isied, Mena I. Souliman, Sameer Jung Karkl, Tanvir Ahmed, Gokhan Saygili Feb 2026

Artificial Neural Network Model For Predicting Fatigue Endurance Limit Of Hot Mix Asphalt Using Uniaxial Tension–Compression Tests, Prashanta Kumar Acharjee, Mayzan Isied, Mena I. Souliman, Sameer Jung Karkl, Tanvir Ahmed, Gokhan Saygili

Civil Engineering Faculty Publications and Presentations

Fatigue is one of the major distresses occurring in asphalt concrete pavement. Repeated traffic loading causes escalated structural damage which results in the formation of cracks. There is a strain level below which the Hot Mix Asphalt goes under fatigue failure, and it is called endurance limit. In this study, a predictive model is developed to predict endurance limit strain values by using artificial neural network. Uniaxial tension-compression fatigue test results conducted under NCHRP Project 9–44 A were utilized in the model development process. An equation is also extracted from the model along which gives the exact values as the …

Go to article

Hybrid Sensing For Near-Earth Space Domain Awareness: Leveraging Space-Based Assets For Augmenting Optical Ground Observations, Smriti Nandan Paul, Hang Woon Lee Feb 2026

Hybrid Sensing For Near-Earth Space Domain Awareness: Leveraging Space-Based Assets For Augmenting Optical Ground Observations, Smriti Nandan Paul, Hang Woon Lee

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Because of recent advancements in space technologies, easier and more economical access to space, and an increase in commercial interests, the near-Earth space environment has witnessed an exploding number of objects being put into orbit. In particular, the low Earth orbit (LEO) region is at an increased risk of orbital collisions from large satellite constellation projects. Thus, monitoring LEO objects for space domain awareness and space traffic management has become increasingly imperative. In this paper, we use the concept of limited-CDF (cumulative distribution function) surface and mutual information for designing sensor tasking algorithms focusing on regular observation of known catalog …

Go to article

Machine Learning In Peak Demand Forecasting: Foundations, Trends, And Insights, Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen, Wenlei Bai, Peizhi Shi, Richard Allmendinger, Yuchen Zhang, Jian Liu Feb 2026

Machine Learning In Peak Demand Forecasting: Foundations, Trends, And Insights, Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen, Wenlei Bai, Peizhi Shi, Richard Allmendinger, Yuchen Zhang, Jian Liu

Electrical and Computer Engineering Faculty Research & Creative Works

Peak demand forecasting involves predicting the maximum electricity demand within a specific period, which plays a key role in maintaining the efficiency and stability of power systems. The rapid evolution of power systems, driven by advanced metering infrastructure, local energy applications such as electric vehicles, and the increasing adoption of intermittent renewable energy, has introduced greater randomness and reduced predictability in peak demand. Given the pressing need to address more diverse implementation requirements across different contexts, accurate and reliable peak demand forecasting has become increasingly important. To the best of our knowledge, this study is the first to provide a …

Go to article

Efficiency Evaluation Of Different Methods For Nitrogen Removal In Municipal Wastewater Treatment Plants: An Integrative Review, Cristiane G. Ferrarezzi, Juliana Canto Duarte Feb 2026

Efficiency Evaluation Of Different Methods For Nitrogen Removal In Municipal Wastewater Treatment Plants: An Integrative Review, Cristiane G. Ferrarezzi, Juliana Canto Duarte

The School of Sustainability Engineering and Environmental Engineering (SEE) Graduate Student Publications

Domestic wastewaters present high nitrogen levels due to the urea and ammonia, which are excreted into urine. Municipal wastewater treatment plants (WWTP) normally face some challenges in keeping their treated wastewater at a low total nitrogen concentration, since the majority of their wastewater is domestic. Low nitrogen levels in the treated wastewater are important to avoid increasing eutrophication of the receptor body, which receives the treated wastewater. This work presents an integrative review considering studies related to denitrification in domestic WWTPs published from January 1st, 2018, to April 30th, 2023. This review aims to identify the most effective methods for …

Go to article

Artificial Intelligence, Society 5.0 And Smart City Adaptation Initiatives For Businesses: An Integrated Approach, Ines A. M. Gila, Fernando A. F. Ferreira, Neuza C. M. Q. F. Ferreira, Florentin Smarandache, Momtaj Khanam, Tugrul Unsal Daim Feb 2026

Artificial Intelligence, Society 5.0 And Smart City Adaptation Initiatives For Businesses: An Integrated Approach, Ines A. M. Gila, Fernando A. F. Ferreira, Neuza C. M. Q. F. Ferreira, Florentin Smarandache, Momtaj Khanam, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

The mass migration of human populations to urban areas has resulted in unprecedented challenges for city services. To address and find solutions for these emerging issues, decision-makers must embrace the smart city and Society 5.0 paradigms, which comprehensively tackle various dimensions of the problem and ensure adaptability to evolving citizen needs. Central to the success of these paradigms is technology, particularly artificial intelligence (AI). AI’s transformative capabilities enable the expansion of services, automation of tasks, efficient operationalization and processing vast amounts of data to address urban challenges, aligning with several sustainable development goals (SDGs) such as sustainable cities and communities …

Go to article

Utilization Of Plastic Waste In The Concrete Industry, Nancy Abdelmoneim Sakr Feb 2026

Utilization Of Plastic Waste In The Concrete Industry, Nancy Abdelmoneim Sakr

Theses and Dissertations

Plastic recycling has emerged as a crucial strategy that aligns with environmental, social and economic sustainability indicators. Currently, substantial volumes of plastic waste are either deposited in landfills or incinerated, neglecting the potential to harness its embodied energy and the energy consumed for producing virgin materials. A key advantage of plastic lies in its promising mechanical properties. Concrete mix design is fundamental to a wide range of construction applications, including brick walls, reinforced concrete slabs and concrete pavements. Despite the adoption of recycled plastic in construction materials in various countries, its widespread implementation remains limited. This is primarily due to …

Go to article

Three-Dimensional Topographical Effects On The Generation Of Internal Lee Waves, Haosen H.A. Xu, Xiaowei Zhu, Kaiwen Zheng Feb 2026

Three-Dimensional Topographical Effects On The Generation Of Internal Lee Waves, Haosen H.A. Xu, Xiaowei Zhu, Kaiwen Zheng

Mechanical and Materials Engineering Faculty Publications and Presentations

Internal lee waves generated by the interaction between geostrophic flows and ocean-floor topography are recognized as an important pathway for transferring energy from large-scale circulation to small-scale mixing in the deep ocean; however, energy fluxes inferred from field observations often fall well below estimates based on classical linear theory. Here, we use direct numerical simulations to examine how three-dimensional (3D) topographic structure alters the generation and energy pathways of internal lee waves. We simulated idealized stratified flows impinging on twodimensional (2D) and 3D sinusoidal topography in a radiating regime. We used Reynolds decomposition based on spatial averaging to isolate wave-induced …

Go to article

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar Feb 2026

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar

All Works

The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered …

Go to article

A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun Feb 2026

A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun

Research Collection College of Integrative Studies

Inspection is widely adopted to improve the maintenance efficiency. Most works predetermine a periodic inspection scheme and focus on optimizing the replacement threshold. However, it is reasonable to inspect less frequently when the degradation level of the system is low and to perform inspections more frequently as the degradation level increases. This work investigates a dynamic inspection and replacement policy for systems subject to regular degradation and periodic shocks. The regular degradation of the system is modeled as a Wiener process. Meanwhile, a periodic arrived shock will incur a random amount increment to the degradation, which is assumed to satisfy …

Go to article

Treatment And Valorization Of Spent Caustic Brine: A Critical Review With Emphasis On Membrane Technologies, Rouba D. Al Bostami, Amani Al Othman, Muhammad Tawalbeh, Kerry N. Mcphedran, Mohammad Mahdi A. Shirazi Feb 2026

Treatment And Valorization Of Spent Caustic Brine: A Critical Review With Emphasis On Membrane Technologies, Rouba D. Al Bostami, Amani Al Othman, Muhammad Tawalbeh, Kerry N. Mcphedran, Mohammad Mahdi A. Shirazi

Research outputs 2022 to 2026

Spent caustic brine (SCB) is a hazardous yet resource-rich industrial waste, primarily composed of sodium hydroxide, water, and contaminants such as sulfides, phenols, organic compounds, heavy metals, and valuable minerals. Originating from industries such as oil and gas, metal finishing, and food processing, SCB poses high pH ('11), high total dissolved solids (up to 58,000 ppm), heavy metal content, and elevated chemical oxygen demand (COD). In this work, treatment and valorization methods for SCB are categorized into three groups: traditional techniques without caustic or water recovery, conventional techniques with limited recovery, and membrane technologies offering effective caustic and water recovery …

Go to article

Enhancing Solar Energy Harvesting: A Comprehensive Study On Photothermal Conversion In Tin/Mxene-Mof Hybrid Nanofluids, Seyedeh Zahra Haeri, Ali Dashan, Javad Farahbakhsh, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar Feb 2026

Enhancing Solar Energy Harvesting: A Comprehensive Study On Photothermal Conversion In Tin/Mxene-Mof Hybrid Nanofluids, Seyedeh Zahra Haeri, Ali Dashan, Javad Farahbakhsh, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar

Research outputs 2022 to 2026

The growing global energy demand highlights the need for renewable sources like solar energy as a key component of sustainable systems. This study focuses on developing two hybrid nanofluids, TiNML125 and MXML125, for optimizing solar energy harvesting. These nanofluids were synthesized via a solvothermal process, combining NH₂-MIL-125 with plasmonic nanoparticles, titanium nitride (TiN) and MXene (MX). Their thermal conductivity, stability, optical properties, and photothermal efficiency were analyzed. Results showed both nanofluids significantly outperformed single-component ML125, with TiNML125 improving absorption by 40 % and enhancing thermal conductivity. MXML125 demonstrated superior long-term stability, with a 25 % lower zeta potential reduction over …

Go to article

In-Situ Carbon Mineralization Through Injection Of Co2-Saturated Water Into Basalts: Effects On Pore Network, Seyi Philemon Akanji, Lionel Esteban, Ausama Giwelli, Joel Sarout, Alireza Keshavarz, Stefan Iglauer Feb 2026

In-Situ Carbon Mineralization Through Injection Of Co2-Saturated Water Into Basalts: Effects On Pore Network, Seyi Philemon Akanji, Lionel Esteban, Ausama Giwelli, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Carbon capture and storage (CCS) offers the potential to remove and safely store significant quantities of carbon dioxide from the atmosphere, thereby limiting global warming. Conventional geological storage involves injecting CO2, in gaseous or supercritical state, into porous rock reservoirs, relying on geological top seals, capillary forces and/or dissolution in groundwater as the primary “locking-in” processes. An alternative method injects CO2-saturated water into mafic rocks (basalts), chemically inducing in-situ mineralization of CO2 to form solid carbonate minerals. This mechanism offers the lowest risk of carbon returning to the atmosphere. This review synthesizes field and laboratory studies on CO2 mineralization in …

Go to article

Optimization Of Pressure And Flow Rate For Co2 Microbubble Generation Using Porous Ceramic Membrane: Insights For Co₂ Geological Storage, Malek Jalilian, Tawanda Matamba, David Tang, Alireza Keshavarz, Stefan Iglauer Feb 2026

Optimization Of Pressure And Flow Rate For Co2 Microbubble Generation Using Porous Ceramic Membrane: Insights For Co₂ Geological Storage, Malek Jalilian, Tawanda Matamba, David Tang, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

CO2 microbubbles show significant potential in carbon capture and storage (CCS) through enhancing CO2 dissolution and improving the residual trapping mechanism. To take full advantage of microbubbles, maximizing their generation by selecting the optimal operational conditions, including injection pressure and flow rate, is essential. In this study, we examined a wide range of experimental conditions to quantitatively evaluate the potential of a porous ceramic membrane for producing CO2 microbubbles in a chemical-free manner. In particular, the effects of injection pressure (5.0–10.0 MPa) and CO2 flow rate (0.25–5 mL/min) on mean bubble diameter (DMB) and microbubble yield efficiency (YMB) were systematically …

Go to article

Mining Waste As A Resource In Construction: Applications, Benefits, And Challenges, Chathurika Dassanayake, Nuha S. Mashaan, Daniel Oguntayo Feb 2026

Mining Waste As A Resource In Construction: Applications, Benefits, And Challenges, Chathurika Dassanayake, Nuha S. Mashaan, Daniel Oguntayo

Research outputs 2022 to 2026

Mining activities generate vast quantities of waste each year, including mine tailings, bauxite residue, waste rock, and various metallurgical slags. Although these materials have traditionally been regarded as environmental liabilities, many possess physical and chemical properties that make them promising candidates for use in construction. This review synthesizes recent research on the utilization of major mining waste streams, with particular emphasis on pavement applications and other construction materials. The findings indicate that bauxite residue exhibits both pozzolanic and filler characteristics, demonstrating potential in asphalt mastics, asphalt mixtures, and other construction products. Nonetheless, its widespread adoption is constrained by issues such …

Go to article

Mechanical Properties And Reproducibility Of One-Part Ambient-Cured Slag And Fly Ash-Based Geopolymer Concrete, Daro Sun, Jessey Lee, Alireza Mohyeddin, Janitha Migunthanna Feb 2026

Mechanical Properties And Reproducibility Of One-Part Ambient-Cured Slag And Fly Ash-Based Geopolymer Concrete, Daro Sun, Jessey Lee, Alireza Mohyeddin, Janitha Migunthanna

Research outputs 2022 to 2026

The cement industry is a major source of anthropogenic CO2 emissions due to its energy-intensive production process and calcination of limestone. Producing one ton of cement emits approximately one ton of CO2, and cement accounts for about 5% to 8% of global CO2 emissions. In this context, cement-less one-part (“just-add-water”) ambient-cured geopolymer concrete (GPC) has gained attention due to its environmental friendliness and practicality for large-scale cast-in-situ construction. However, field adoption remains limited, mainly due to the scarcity of data on mechanical properties and durability, as well as the lack of widely accepted standards and specifications. This paper is part …

Go to article

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau Feb 2026

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

Go to article

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng Feb 2026

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

We consider a dynamic pricing problem in network revenue management in which customer behavior is predicted by a choice model, that is, the multinomial logit model. The problem, even in the static setting (i.e., customer demand remains unchanged over time), is highly nonconcave in prices. Existing studies mostly rely on the observation that the objective function is concave in terms of purchasing probabilities, implying that the static pricing problem with linear constraints on purchasing probabilities can be efficiently solved. However, this approach is limited in handling constraints on prices, noting that such constraints could be highly relevant in some real …

Go to article

Influence Of Superhydrophobic Surface Microstructure On Transient Jet Impingement Cooling, D. Jacob Butterfield, Brian D. Iverson, Daniel Maynes, Julie Crockett Feb 2026

Influence Of Superhydrophobic Surface Microstructure On Transient Jet Impingement Cooling, D. Jacob Butterfield, Brian D. Iverson, Daniel Maynes, Julie Crockett

Faculty Publications

Water jet impingement is an effective method of rapidly cooling a surface, but heat transfer from the surface is highly dependent on the surface condition and properties. Here, the impact of a superhydrophobic (SH) surface on heat transfer to an impinging, axisymmetric, room-temperature water jet with Re=6 x 103to 18 x 103 is explored. SH surfaces are created by etching thin silicon wafers to form different micropatterns (posts or holes). Surfaces are heated to between 200 and 320°C, and the local surface temperature is measured with a thermal camera. The time resolved heat transfer from the surface and …

Go to article

Implementation Of Zero Trust Architecture On Local Server Management In Educational Institutions, Joko Purwanto, Safar Dwi Kurniawan Jan 2026

Implementation Of Zero Trust Architecture On Local Server Management In Educational Institutions, Joko Purwanto, Safar Dwi Kurniawan

Journal of Strategic and Global Studies

Educational institutions are facing increasingly complex cyber threats, particularly as they continue to rely on on-premises servers with limited cybersecurity resources. Zero Trust Architecture (ZTA) offers a security model that rejects implicit trust and requires strict verification of each access request. This study aims to examine the applicability of ZTA in managing local servers within educational institutions through a qualitative literature review approach. Relevant literature from 2014 to 2025 was analyzed using thematic synthesis to identify recurring concepts, strategies, and gaps. The results show that ZTA, when integrated with Identity and Access Management (IAM), Security Information and Event Management (SIEM), …

Go to article

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson Jan 2026

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Go to article

Assessment Of Winter Maintenance Performance Objectives Using Maintenance Decision Support System, Curtis L. Walker, Mark R. Anderson, Aemal Khattak, Thomas Kauzlarich, Abdul Farhan Jan 2026

Assessment Of Winter Maintenance Performance Objectives Using Maintenance Decision Support System, Curtis L. Walker, Mark R. Anderson, Aemal Khattak, Thomas Kauzlarich, Abdul Farhan

Nebraska Department of Transportation: Research Reports

It is important for transportation agencies to assess their winter maintenance operations performance to identify areas for improvement and/or resource investment to maintain optimal levels of service, mobility, and safety. This study explores nine winter snowstorms in Nebraska during the 2023-2024 winter season across 20 road segments, 12 of which were along the Interstate-80 corridor. Datasets explored include meteorological information, traffic mobility insights, winter maintenance operations activities, and road conditions before, during, and after the periods of accumulating snowfall. Statistical analyses explored correlations and quantitative relationships among these datasets, while visual dashboards were developed to promote more qualitative considerations of …

Go to article

First Prev Next Last