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Articles 4801 - 4830 of 75068
Full-Text Articles in Engineering
The Effect Of Gamma-Ray Irradiation On Polymer-Graphene Nanocomposite Interfaces, Sagar Patil, Josh Kemppainen, Travis Wavrunek, Gregory Odegard
The Effect Of Gamma-Ray Irradiation On Polymer-Graphene Nanocomposite Interfaces, Sagar Patil, Josh Kemppainen, Travis Wavrunek, Gregory Odegard
Michigan Tech Publications
CNT yarns are used in ultra-high strength composites for use in manned deep-space vehicles. It has been previously demonstrated through experiments that gamma-ray irradiation substantially improves the mechanical performance of these composites. It is unclear how the irradiation affects the mechanical response of the CNT yarn/polymer interface that ultimately leads to these panel-level performance improvements. Physical insight into this process could enable further improvements in the CNT yarn/polymer interface design in the future. The objective of this research is to use molecular dynamics simulation to provide physical insight into the effect of gamma-ray irradiation on the mechanical behavior (interfacial interaction …
Paper-Recorded Ecg Digitization Method With Automatic Reference Voltage Selection For Telemonitoring And Diagnosis, Liang Hung Wang, Chao Xin Xie, Tao Yang, Hong Xin Tan, Ming Hui Fan, I. Chun Kuo, Zne Jung Lee, Tsung Yi Chen, Pao Cheng Huang, Shih Lun Chen, Patricia Angela R. Abu
Paper-Recorded Ecg Digitization Method With Automatic Reference Voltage Selection For Telemonitoring And Diagnosis, Liang Hung Wang, Chao Xin Xie, Tao Yang, Hong Xin Tan, Ming Hui Fan, I. Chun Kuo, Zne Jung Lee, Tsung Yi Chen, Pao Cheng Huang, Shih Lun Chen, Patricia Angela R. Abu
Department of Information Systems & Computer Science Faculty Publications
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground–background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed …
Design Frameworks For Ventilative Cooling: Perceptions From Building Design Practitioners In Ireland And The United Kingdom, Maha Sohail, Adam O'Donovan, Paul D. O'Sullivan
Design Frameworks For Ventilative Cooling: Perceptions From Building Design Practitioners In Ireland And The United Kingdom, Maha Sohail, Adam O'Donovan, Paul D. O'Sullivan
Publications
The global increase in building cooling demands poses a challenge for designers striving for net zero energy consumption. The prevalent use of mechanical cooling underscores the necessity for designers to consider Ventilative Cooling as a viable alternative in the early stages of building design. This paper presents findings from an exploratory survey and semi-structured interviews of industry experts in Ireland and the United Kingdom about their design processes and experienced-based approaches to designing Ventilative Cooling. The findings suggest that the pre-design stage has the same influence for promoting ventilative cooling strategies as the schematic and detailed design stages for practitioners, …
A Systematic Unified Approach For Addressing Temporal Instability In Road Safety Analysis, Kazi Redwan Shabab, Tanmoy Bhowmik, Mohamed H. Zaki, Naveen Eluru
A Systematic Unified Approach For Addressing Temporal Instability In Road Safety Analysis, Kazi Redwan Shabab, Tanmoy Bhowmik, Mohamed H. Zaki, Naveen Eluru
Civil and Environmental Engineering Faculty Publications and Presentations
Multivariate models are widely employed for crash frequency analysis in traffic safety literature. In the context of analyzing data for multiple instances (such as years), it becomes essential to evaluate the stability of parameters over time. The current research proposes a novel approach, labelled the mixed spline indicator pooled model, that offers significant enhancement relative to current approaches employed for capturing temporal instability. The proposed approach entails carefully creating independent variables that allow us to measure parameter slope changes over time and can be easily integrated into existing methodological frameworks. The current research effort compares four multivariate model systems: year …
Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (Uas)-Collected Data: A Machine Learning (Ml) Approach, Rojal Pokhrel, Reihaneh Samsami, Saida Elmi, Colin Brooks
Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (Uas)-Collected Data: A Machine Learning (Ml) Approach, Rojal Pokhrel, Reihaneh Samsami, Saida Elmi, Colin Brooks
Michigan Tech Publications
Bridges are crucial components of infrastructure networks that facilitate national connectivity and development. According to the National Bridge Inventory (NBI) and the Federal Highway Administration (FHWA), the cost to repair U.S. bridges was recently estimated at approximately USD 164 billion. Traditionally, bridge inspections are performed manually, which poses several challenges in terms of safety, efficiency, and accessibility. To address these issues, this research study introduces a method using Unmanned Aerial Systems (UASs) to help automate the inspection process. This methodology employs UASs to capture visual images of a concrete bridge deck, which are then analyzed using advanced machine learning techniques …
Study On The Storage Stability And Rheological Property Of Bio-Oil/Lignin Composite-Modified Asphalt, Guixiu Guo, Junfeng Gao, Dongzhao Jin, Xuan Wang, Yanqiu Bi, Peng Guo
Study On The Storage Stability And Rheological Property Of Bio-Oil/Lignin Composite-Modified Asphalt, Guixiu Guo, Junfeng Gao, Dongzhao Jin, Xuan Wang, Yanqiu Bi, Peng Guo
Michigan Tech Publications
The objective of this study is to investigate the storage stability and rheological property of bio-oil/lignin composite-modified asphalt. The composite-modified asphalt with different proportions of bio-oil was prepared and cured at 105 °C, 135 °C, and 165 °C for 24 h and 48 h. The storage stability of the composite-modified asphalt was evaluated based on the softening point difference, the storage stability index derived from rotational viscosity, the segregation rate based on temperature sweep, and the non-recoverable creep compliance measured through the Multiple Stress Creep Recovery test. The storage stability of bio-oil/lignin composite-modified asphalt was evaluated through testing and analysis …
Verifying An Improved Intermittent Water Distribution Network Analysis Method Based On Epa-Swmm, Dondu Sarisen, Raziyeh Farmani, David W. Watkins, Brian Barkdoll, Brian Rivers, Chao Zhang, Fayyaz Ali Memon
Verifying An Improved Intermittent Water Distribution Network Analysis Method Based On Epa-Swmm, Dondu Sarisen, Raziyeh Farmani, David W. Watkins, Brian Barkdoll, Brian Rivers, Chao Zhang, Fayyaz Ali Memon
Michigan Tech Publications
Modelling Intermittent Water Supply (IWS) presents challenges, as traditional hydraulic methods based on EPANET are often inadequate due to their inability to simulate the network filling process. While EPA-SWMM (EPA’s Storm Water Management Model)-based methods enhance IWS analysis, they remain network-specific and lack universal applicability. This study aims to calibrate and verify an improved EPA-SWMM-based model on a 6 m × 5 m laboratory-scale IWS. Experiments were conducted to capture flow rate data from demand nodes under various conditions. The EPA-SWMM model, based on uncontrolled outlets with flow rate varying by pressure, was calibrated using, an automated procedure that integrated …
Quantum Relaxation For Solving Multiple Knapsack Problems, Monit Sharma, Jin Yan, Hoong Chuin Lau, Rudy Raymond
Quantum Relaxation For Solving Multiple Knapsack Problems, Monit Sharma, Jin Yan, Hoong Chuin Lau, Rudy Raymond
Research Collection School Of Computing and Information Systems
Combinatorial problems are a common challenge in business, requiring finding optimal solutions under specified constraints. While significant progress has been made with variational approaches such as QAOA, most problems addressed are unconstrained (such as Max-Cut). In this study, we investigate a hybrid quantum-classical method for constrained optimization problems, particularly those with knapsack constraints that occur frequently in financial and supply chain applications. Our proposed method relies firstly on relaxations to local quantum Hamiltonians, defined through commutative maps. Drawing inspiration from quantum random access code (QRAC) concepts, particularly Quantum Random Access Optimizer (QRAO), we explore QRAO's potential in solving large constrained …
Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw
Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw
Research Collection School Of Computing and Information Systems
Automated coherence metrics constitute an efficient and popular way to evaluate topic models. Previous work presents a mixed picture of their presumed correlation with human judgment. This work proposes a novel sampling approach to mining topic representations at a large scale while seeking to mitigate bias from sampling, enabling the investigation of widely used automated coherence metrics via large corpora. Additionally, this article proposes a novel user study design, an amalgamation of different proxy tasks, to derive a finer insight into the human decision-making processes. This design subsumes the purpose of simple rating and outlier-detection user studies. Similar to the …
Enhancing Multi-Agent System Testing With Diversity-Guided Exploration And Adaptive Critical State Exploitation, Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie
Enhancing Multi-Agent System Testing With Diversity-Guided Exploration And Adaptive Critical State Exploitation, Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie
Research Collection School Of Computing and Information Systems
Multi-agent systems (MASs) have achieved remarkable success in multi-robot control, intelligent transportation, and multiplayer games, etc. Thorough testing for MAS is urgently needed to ensure its robustness in the face of constantly changing and unexpected scenarios. Existing methods mainly focus on single-agent system testing and cannot be directly applied to MAS testing due to the complexity of MAS. To our best knowledge, there are fewer studies on MAS testing. While several studies have focused on adversarial attacks on MASs, they primarily target failure detection from an attack perspective, i.e., discovering failure scenarios, while ignoring the diversity of scenarios. In this …
Bugs In Pods: Understanding Bugs In Container Runtime Systems, Jiongchi Yu, Xiaofei Xie, Ceng Zhang, Sen Chen
Bugs In Pods: Understanding Bugs In Container Runtime Systems, Jiongchi Yu, Xiaofei Xie, Ceng Zhang, Sen Chen
Research Collection School Of Computing and Information Systems
Container Runtime Systems (CRSs), which form the foundational infrastructure of container clouds, are critically important due to their impact on the quality of container cloud implementations. However, a comprehensive understanding of the quality issues present in CRS implementations remains lacking. To bridge this gap, we conduct the first comprehensive empirical study of CRS bugs. Specifically, we gather 429 bugs from 8,271 commits across dominant CRS projects, including runc, gvisor, containerd, and cri-o. Through manual analysis, we develop taxonomies of CRS bug symptoms and root causes, comprising 16 and 13 categories, respectively. Furthermore, we evaluate the capability of popular testing approaches, …
Enhanced Perfluorooctanoic Acid (Pfoa) Degradation By Electrochemical Activation Of Peroxydisulfate (Pds) During Electrooxidation For Water Treatment, Melvin S. Samuel, Kadarkarai Govindan, Donald R. Ryan, Sean T. Mcbeath, Brooke K. Mayer, Patrick J. Mcnamara
Enhanced Perfluorooctanoic Acid (Pfoa) Degradation By Electrochemical Activation Of Peroxydisulfate (Pds) During Electrooxidation For Water Treatment, Melvin S. Samuel, Kadarkarai Govindan, Donald R. Ryan, Sean T. Mcbeath, Brooke K. Mayer, Patrick J. Mcnamara
Civil and Environmental Engineering Faculty Research and Publications
Improved treatment of per- and polyfluoroalkyl substances (PFAS) in water is critically important in light of the proposed United States Environmental Protection Agency (USEPA) drinking water regulations at ng L−1 levels. The addition of peroxymonosulfate (PMS) during electrooxidation (EO) can remove and destroy PFAS, but ng L−1 levels have not been tested, and PMS itself can be toxic. The objective of this research was to test peroxydisulfate (PDS, an alternative to PMS) activation by boron-doped diamond (BDD) electrodes for perfluorooctanoic acid (PFOA) degradation. The influence of PDS concentration, temperature, and environmental water matrix effects, and PFOA concentration on PDS-EO …
Gamifying Energy Management: Leveraging Lokalytica Smartmeter For Sustainable Future, Emilio Roman Perez, King Harold A. Recto
Gamifying Energy Management: Leveraging Lokalytica Smartmeter For Sustainable Future, Emilio Roman Perez, King Harold A. Recto
Electronics, Computer, and Communications Engineering Faculty Publications
The gamification of software applications has emerged as an effective strategy to enhance user engagement and promote desired behaviors. This paper explores the gamification of the Lokalytica SmartMeter application, an energy management platform that leverages data from meter readings through its users. By incorporating a challenge-based system and a points-based leaderboard, Lokalytica rewards users who reduce their energy consumption. The gamification application of Lokalytica was built using NextJS, a full-stack framework, along with Tailwind CSS and DaisyUI for UI design, MongoDB Atlas for the database, and GitHub for version control, collaboration, and tracking. This paper discusses the development process, the …
Two-Dimensional Quantum Material Identification Via Self-Attention And Soft-Labeling In Deep Learning, Xuan Bac Nguyen, Apoorva Bisht, Benjamin Thompson, Hugh O.H. Churchill, Khoa Luu, Samee U. Khan
Two-Dimensional Quantum Material Identification Via Self-Attention And Soft-Labeling In Deep Learning, Xuan Bac Nguyen, Apoorva Bisht, Benjamin Thompson, Hugh O.H. Churchill, Khoa Luu, Samee U. Khan
Electrical Engineering and Computer Science Faculty Publications and Presentations
Detecting two-dimensional (2D) materials in silicon chips presents a significant challenge in the field of quantum machines due to the difficulty of data collection. Specifically, among thousands of flakes, not all flakes are useful or well-annotated, resulting in noisy and hard samples within the dataset, which challenges the deep neural network (DNN) to learn. To address this problem, we propose a novel method for identifying quantum 2D flakes even when there is a high rate of missing annotations in the input images. In particular, we first propose a new mechanism for automatically detecting false negative flakes that are missing annotations. …
Addressing The Effect Of Intra-Seasonal Variations In Developing Rainfall Thresholds For Landslides: An Antecedent Rainfall-Based Approach, Vishnu Chakrapani Lekha, Thomas Oommen, Snehamoy Chatterjee, Kochappi Sathyan Sajinkumar
Addressing The Effect Of Intra-Seasonal Variations In Developing Rainfall Thresholds For Landslides: An Antecedent Rainfall-Based Approach, Vishnu Chakrapani Lekha, Thomas Oommen, Snehamoy Chatterjee, Kochappi Sathyan Sajinkumar
Michigan Tech Publications
We developed a rainfall threshold model with the objective of limiting the effects of uncertainties typically associated with them, such as a lack of robust landslide database, the selection of the contributing rain gauge, seasonal variations in rainfall patterns, and the effect of extreme rainfall conditions. With the aid of gauge-corrected satellite precipitation data and a landslide database compiled from various sources, separate rainfall thresholds were developed for two waves of the monsoon season in the Western Ghats, India. The daily vs. antecedent rainfall distributions for different scenarios of antecedent rainfall were analyzed for landslide occurrence. The different scenarios considered …
Appointment Scheduling With Delay Tolerance Heterogeneity, Shuming Wang, Jun Li, Marcus Ang, Tsan Sheng Ng
Appointment Scheduling With Delay Tolerance Heterogeneity, Shuming Wang, Jun Li, Marcus Ang, Tsan Sheng Ng
Research Collection Lee Kong Chian School Of Business
In this study, we investigate an appointment sequencing and scheduling problem with heterogeneous user delay tolerances under service-time uncertainty. We aim to capture the delay-tolerance effect with heterogeneity, in an operationally effective and computationally tractable fashion, for the appointment scheduling problem. To this end, we first propose a Tolerance-Aware Delay (TAD) index that incorporates explicitly the user-tolerance information in delay evaluation. We show that the TAD index enjoys decision-theoretical rationale in terms of Tolerance Sensitivity, Monotonicity, Convexity and Positive Homogeneity, which enables it to incorporate the frequency and intensity of delays over the tolerance in a coherent manner. Specifically, the …
Performance Evaluation And Integration Of Distortion Mitigation Methods For Fisheye Video Object Detection, John Benedict Du, Gian Paolo Mayuga, Maria Leonora Guico
Performance Evaluation And Integration Of Distortion Mitigation Methods For Fisheye Video Object Detection, John Benedict Du, Gian Paolo Mayuga, Maria Leonora Guico
Electronics, Computer, and Communications Engineering Faculty Publications
The distortion observed in fisheye cameras has proven to be a persistent challenge for numerous state-of-the-art object detection algorithms, instigating the development of various techniques aimed at mitigating this issue. This study aims to evaluate various methods for mitigating distortion in fisheye camera footage and their impact on video object detection accuracy and speed. Using Python, OpenCV, and third-party libraries, the researchers modified and optimized said methods for video input and created a framework for running and testing different distortion correction methods and object detection algorithm configurations. Through experimentation with different datasets, the study found that undistorting the image using …
Nano-Enhanced Phase Change Materials: Fundamentals And Applications, Zafar Said, A. K. Pandey, Arun Kumar Tiwari, B. Kalidasan, Furqan Jamil, Amrit Kumar Thakur, V. V. Tyagi, Ahmet Sarı, Hafiz Muhammad Ali
Nano-Enhanced Phase Change Materials: Fundamentals And Applications, Zafar Said, A. K. Pandey, Arun Kumar Tiwari, B. Kalidasan, Furqan Jamil, Amrit Kumar Thakur, V. V. Tyagi, Ahmet Sarı, Hafiz Muhammad Ali
Research outputs 2022 to 2026
Phase Change Materials (PCMs) enable thermal energy storage in the form of latent heat during phase transition. PCMs significantly improve the efficiency of solar power systems by storing excess energy, which can be used during peak demand. Likewise, they also contribute to reduced overall energy demand through passive thermal regulation. Nonetheless, thermal energy charging and discharging are restricted due to the low conducting nature of the energy storage medium. Various research investigations are being carried out to improve the thermal characteristics of PCMs through techniques such as a) dispersion of nanoparticles, b) inserting fins, and c) cascading PCMs. Among the …
A Novel Hybrid Enhanced Oil Recovery Technique To Enhance Oil Production From Oil-Wet Carbonate Reservoirs By Combining Electrical Heating With Nanofluid Flooding, Farida Amrouche, Martin J. Blunt, Stefan Iglauer, Farid Aiouache, Michael Short
A Novel Hybrid Enhanced Oil Recovery Technique To Enhance Oil Production From Oil-Wet Carbonate Reservoirs By Combining Electrical Heating With Nanofluid Flooding, Farida Amrouche, Martin J. Blunt, Stefan Iglauer, Farid Aiouache, Michael Short
Research outputs 2022 to 2026
Enhanced Oil Recovery provides a promising technique to maximise fossil fuel recovery from existing resources, and when used in conjunction with Carbon Capture and Storage/Utilisation provides a way to support a transition to alternative cleaner fuels. A hybrid Enhanced Oil Recovery method by a combination of electrical heating and nanofluid flooding was applied to oil-wet carbonate reservoirs and assessed in terms of the oil production, zeta potential, contact angle, pellet compaction, interfacial tension, and pH values. The hybrid technique consisted of a combination of direct current (up to 30 V) and iron oxide (Fe2O3) or magnesium oxide (MgO) nanofluids. Both …
Nanofluid-Assisted Enhanced Sealing Security For Efficient Geological Hydrogen Storage In Saudi Arabian Basalt, Muhammad Ali, Nurudeen Yekeen, Sarmad Al-Anssari, Aliakbar Hassanpouryouzband, Alireza Keshavarz, Hussein Hoteit
Nanofluid-Assisted Enhanced Sealing Security For Efficient Geological Hydrogen Storage In Saudi Arabian Basalt, Muhammad Ali, Nurudeen Yekeen, Sarmad Al-Anssari, Aliakbar Hassanpouryouzband, Alireza Keshavarz, Hussein Hoteit
Research outputs 2022 to 2026
The modification of hydrophobic rock surfaces to the water-wet state via nanofluid treatment has shown promise in enhancing their geological storage capabilities and the efficiency of carbon dioxide (CO2) and hydrogen (H2) containment. Despite this, the specific influence of silica (SiO2) nanoparticles on the interactions between H2, brine, and rock within basaltic formations remains underexplored. The present study focuses on the effect of SiO2 nanoparticles on the wettability of Saudi Arabian basalt (SAB) under downhole conditions (323 K and pressures ranging from 1 to 20 MPa) by using the tilted plate technique to measure the contact angles between H2/brine and …
Sub-Rapid Solidification Microstructure Characteristics And Control Mechanisms Of Twin-Roll Cast Aluminum Alloys: A Review, Xian Wu, Zhi Ping Guan, Hong Yu Yang, Bai Xin Dong, Lai Chang Zhang, Jia Meng, Chang Jie Luo, Cheng Gang Wang, Kuang Cao, Jian Qiao, Shi Li Shu, Jie Kang, Ming Zhu, Feng Qiu, Qi Chuan Jiang
Sub-Rapid Solidification Microstructure Characteristics And Control Mechanisms Of Twin-Roll Cast Aluminum Alloys: A Review, Xian Wu, Zhi Ping Guan, Hong Yu Yang, Bai Xin Dong, Lai Chang Zhang, Jia Meng, Chang Jie Luo, Cheng Gang Wang, Kuang Cao, Jian Qiao, Shi Li Shu, Jie Kang, Ming Zhu, Feng Qiu, Qi Chuan Jiang
Research outputs 2022 to 2026
Rapid growth in industrial sectors such as automotive and shipbuilding has highlighted the significance of strip casting technology to produce lightweight alloys, particularly aluminum alloys widely used in both industrial production and daily life. Twin-roll casting (TRC), as an economically and environmentally friendly method for slab/strip production and processing, has attracted significant interest from researchers. However, the development of TRC aluminum alloys faces many challenges due to limited understanding of microstructural characteristics and control mechanisms. To further enhance comprehension of TRC aluminum alloys, this article reviews the influencing parameters, control methods, and existing issues related to TRC sub-rapid solidification (SRS) …
Evaluation Of The Mechanical Properties Of Pla Material Used For 3d Printing Solar E-Hub Component, Md Helal Uddin, Mohammad Nur-E-Alam, Abreeza Manap, Boon Kar Yap, Md Rokonuzzaman
Evaluation Of The Mechanical Properties Of Pla Material Used For 3d Printing Solar E-Hub Component, Md Helal Uddin, Mohammad Nur-E-Alam, Abreeza Manap, Boon Kar Yap, Md Rokonuzzaman
Research outputs 2022 to 2026
The advent of additive manufacturing (AM) technologies revolutionized design and production processes across various industries. In renewable energy, AM enabled new possibilities for optimizing solar e-hub (solar energy harvesting module) configurations, enhancing efficiency and performance. This study examined critical considerations such as material selection, durability, and cost-effectiveness in solar hub development. This fast-prototyping technique was controlled by computer-aided design (CAD) software like CREO Parametric 7.0 and Creality Slicer 4.8. Experimental results indicated that PLA (Polylactic acid) materials exhibited superior strength, with an impact energy of 4.8 Joules. The deformation study revealed that the maximum load of 22 MPa aligned with …
Microplastics And Dye Removal From Textile Wastewater Using Mil-53 (Fe) Metal-Organic Framework-Based Ultrafiltration Membranes, Javad Farahbakhsh, Mohadeseh Najafi, Mitra Golgoli, Abdul Hannan Asif, Mehdi Khiadani, Amir Razmjou, Masoumeh Zargar
Microplastics And Dye Removal From Textile Wastewater Using Mil-53 (Fe) Metal-Organic Framework-Based Ultrafiltration Membranes, Javad Farahbakhsh, Mohadeseh Najafi, Mitra Golgoli, Abdul Hannan Asif, Mehdi Khiadani, Amir Razmjou, Masoumeh Zargar
Research outputs 2022 to 2026
Microplastics (MPs) and other organic matters in textile wastewater have posed a formidable challenge for treatment processes, particularly in the primary stages such as ultrafiltration (UF). UF plays a crucial role in preventing the entry of pollutants into subsequent treatment steps. However, the performance efficiency of UF membranes is compromised by the potential fouling of membrane pores by MPs, dyes and other organic pollutants such as bovine serum albumin (BSA). This study focuses on enhancing UF membrane performance, specifically its antifouling properties, through the development of high-performance membranes using MIL-53(Fe) metal-organic framework (MOF) particles (noted as MIL-53 here). Various concentrations …
Review On Assessment And Performance Mechanism Evaluation Of Non-Structural Concrete Incorporating Waste Materials, Nuha S. Mashaan, Appuwa De Silva
Review On Assessment And Performance Mechanism Evaluation Of Non-Structural Concrete Incorporating Waste Materials, Nuha S. Mashaan, Appuwa De Silva
Research outputs 2022 to 2026
This research seeks to solve the multi-faceted problem of waste disposal by analysing the application of waste plastic and tyre material within non-structural concrete to ensure more sustainability and less environmental degradation. The study focusses on material properties, including specific gravity, water absorption, and bulk density and characteristics of the concrete that is produced by the utilization of the above waste aggregates, including workability, compressive strength, flexural strength, and tensile strength. This paper employs results from published past research from the literature and MATLAB (R2021b) in the analysis of the findings, pointing to the fact that the mechanical properties reduce …
Hydrogen Wettability Of Saudi Arabian Basalt: Implications For H2 Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Mujahid Ali, Amer Alanazi, Muhammad Shahzad Kamal, Alireza Keshavarz, Hussein Hoteit
Hydrogen Wettability Of Saudi Arabian Basalt: Implications For H2 Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Mujahid Ali, Amer Alanazi, Muhammad Shahzad Kamal, Alireza Keshavarz, Hussein Hoteit
Research outputs 2022 to 2026
The large-scale subsurface storage of hydrogen is a crucial element of the hydrogen economy value chain and is an essential process for achieving the successful replacement of carbon-based fuels. The wettability of the rock-H2-brine system, as quantified by contact angle measurement, has been the focus of most recent research due to its impacts on fluid flow, H2 migration and recovery efficiency during underground hydrogen storage (UHS). However, the reported contact angle data sets are quite inconsistent, and there are relatively few literature reports regarding the contact angles of H2/brine on Saudi Arabian basalt (SAB) compared to the contact angle data …
Impact Of 3d Printing Parameters On Static And Fatigue Properties Of Polylactic Acid (Pla) Bone Scaffolds, Hamed Bakhtiari, Alireza Nouri, Majid Tolouei-Rad
Impact Of 3d Printing Parameters On Static And Fatigue Properties Of Polylactic Acid (Pla) Bone Scaffolds, Hamed Bakhtiari, Alireza Nouri, Majid Tolouei-Rad
Research outputs 2022 to 2026
In the present study, polylactic acid (PLA) scaffolds with a 60 % porosity and gyroid pore structure were 3D printed using the extrusion-based method and employing various printing parameters. The specimens were loaded under quasit-static and cyclic conditions and their mechanical behaviour were evaluated. The Taguchi method was utilized to design experiments and investigate the impact of printing parameters on the compressive properties of the scaffolds. Moreover, thermography analysis was used to examine the influence of cyclic heating during fatigue experiments. The results indicated that extrusion width was the sole variable significantly affecting the quasi-static properties of scaffolds. The largest …
Design, Fabrication, And Physical Properties Analysis Of Laminated Low-E Coated Glass For Retrofit Window Solutions, Mohammad Nur-E-Alam, Mikhail Vasiliev, Boon Kar Yap, Mohammad Aminul Islam, Yaseer Fouad, Tiong Sieh Kiong
Design, Fabrication, And Physical Properties Analysis Of Laminated Low-E Coated Glass For Retrofit Window Solutions, Mohammad Nur-E-Alam, Mikhail Vasiliev, Boon Kar Yap, Mohammad Aminul Islam, Yaseer Fouad, Tiong Sieh Kiong
Research outputs 2022 to 2026
The ever-growing demand for improved energy efficiency in buildings has stimulated a stream of research focused on innovative retrofit energy solutions. Laminated low emissivity (Low-E) type coated glass components can be used in retrofitting window systems for enhancing energy savings provided by the insulating properties of glass laminates containing these heat-mirror-type coatings. In particular, custom-designed double-silver low-E coatings embedded into the laminate structure (directly facing the polymer interlayers during and after the lamination) are of interest due to being protected from environmental exposure, enabling easy component transportation, storage, and window retrofits. In this study, we provide some details on the …
An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou
An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou
Research Collection Lee Kong Chian School Of Business
To support the rapid growth in global electric vehicle adoption, public charging of electric vehicles is crucial. We study the problem of an electric vehicle charging service provider, which faces (1) stochastic arrival of customers with distinctive arrival and departure times, and energy requirements as well as (2) a total electricity cost including demand charges, costs related to the highest per-period electricity used in a finite horizon. We formulate its problem of scheduling vehicle charging to minimize the expected total cost as a stochastic program (SP). As this SP is large-scale, we solve it using exponential cone program (ECP) approximations. …
Development Of Tissue-Engineered Model Of Fibrotic Scarring After Spinal Cord Injury To Study Astrocyte Activation And Neurite Outgrowth In Vitro, Nikolas Ala-Kokko, Inha Baek, Younghye Song
Development Of Tissue-Engineered Model Of Fibrotic Scarring After Spinal Cord Injury To Study Astrocyte Activation And Neurite Outgrowth In Vitro, Nikolas Ala-Kokko, Inha Baek, Younghye Song
Biomedical Engineering Faculty Publications and Presentations
Traumatic spinal cord injuries (SCI) are debilitating injuries affecting twenty-seven million people worldwide and cause functional impairments. Despite decades of research and medical advancements, current treatment options for SCI remain limited, in part due to the complex pathophysiology of spinal cord lesions including cellular transformation and extracellular matrix (ECM) remodeling. Recent studies have increased focus on fibrotic scarring after SCI, and yet much remains unclear about the impact of fibrotic scarring on SCI lesion progression. Here, using collagen and decellularized spinal cord-based composite hydrogels, a three-dimensional (3D) cell culture model mimicking the fibrous core of spinal cord lesions was implemented …
Altered Cortical Activity During A Finger Tap In People With Stroke, Priya Balasubramanian, Roxanne P. Deleon, Dylan B. Snyder, Scott A. Beardsley, Allison S. Hyngstrom, Brian D. Schmit
Altered Cortical Activity During A Finger Tap In People With Stroke, Priya Balasubramanian, Roxanne P. Deleon, Dylan B. Snyder, Scott A. Beardsley, Allison S. Hyngstrom, Brian D. Schmit
Biomedical Engineering Faculty Research and Publications
This study describes electroencephalography (EEG) measurements during a simple finger movement in people with stroke to understand how temporal patterns of cortical activation and network connectivity align with prolonged muscle contraction at the end of a task. We investigated changes in the EEG temporal patterns in the beta band (13–26 Hz) of people with chronic stroke (N = 10, 7 F/3 M) and controls (N = 10, 7 F/3 M), during and after a cued movement of the index finger. We quantified the change in beta band EEG power relative to baseline as activation at each electrode and …