Engineering Commons^™

Characteristics Of Cenozoic Volcanic Edifices In The Pingnan Area, Xihu Sag, Sun Naiquan, Jiang Donghui, Pan Jie, Gao Yang, Pu Renhai, Dong Xinxu

Coal Geology & Exploration

Significance Igneous rocks are well-developed in the southern Pinghu slope zone, Xihu Sag, East China Sea Shelf Basin. In this zone, the increased local geotemperature caused by magmatic activity produced significant impacts on the thermal evolution of source rocks and the formation of secondary pores in sandstone reservoirs and also serves as a significant indicator of regional tectonic movements, thus holding great significance for understanding the regional geological history. Objective and Methods This study aims to determine the formation stages and distribution patterns of igneous rocks as the cap rocks in the southern Pinghu slope zone. Using previous study results …

An Intelligent Lithology Identification Method For Sandstone And Mudstone Strata And Its Applications: A Case Study Of The Jurassic Strata In The Lunnan Area, Xinjiang, China, Cai Ming, Zhou Qingwen, Yang Cong, Chen Feng, Wu Dong, Lin Wang, Zhang Chengguang, Zhang Yuanjun, Miao Yuxin

Coal Geology & Exploration

Objective Lithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the interactive relationships between only 2‒3 logging parameters, suffering from low utilization rates of logging information and low identification accuracy for strata with small differences in logging responses. This seriously restricts the effects of old well reexamination. The efficient, intelligent CatBoost classification algorithm can fully mine the correlations between multi-source logging information and lithology. Methods This study investigated the Jurassic sandstone and mudstone reservoirs in the Lunnan area, Xinjiang, China. Using five logging parameters determined through sensitivity analysis, i.e., natural gamma-ray value, spontaneous potential, …

A Dehazing And Enhancement Algorithm For Heterogeneous Images Of Underground Mining Environments In Coal Mines, Zhang Xuhui, Xie Yanbin, Yang Wenjuan, Zhang Chao, Wan Jicheng, Dong Zheng, Wang Yanqun, Jiang Jie, Li Long

Coal Geology & Exploration

Objective In coal mines, the uneven distribution of dust haze and complex illumination conditions caused by underground coal mining and dust removal lead to blurred video images, as well as the loss of information and details. Hence, this study proposed a dehazing and enhancement algorithm for heterogeneous images of underground mining environments. Methods Initially, hazy images were segmented into zones with different brightness values, for which the average ambient light intensity of global dark channels was calculated. The calculation results were integrated through weighting with the ambient light of local bright channels, which was obtained using adaptive gamma correction and …

A Novel Mu-Metal Based Weak Magnetic Energy Harvester For Self-Powered Monitoring Of Power Grid Assets, Arsalan Habib Khawaja, Hassan Pervaiz, Dongsheng Cai, Jian Li, Qi Huang

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a novel magnetic field driven contactless energy harvester with improved flux concentration capabilities for potential utilization in Power system monitoring where stray magnetic field is abundant and readily available. The designed harvester employs multilayered Mu-Metal based cone shaped core to maximize magnetic flux density. To achieve the final design, this work investigates magnetic flux concentration ability of various geometries and material properties in magnetic flux conditions typical to overhead 11 kV power distribution circuits. Impact of layers in core-coil region of harvesting coil on magnetic flux concentration is evaluated by means of Finite Element analysis. Resultantly, the …

Machine Learning Models Approach For The Quantitative Classification Of Ferricyanide Compound Using Electrochemical Detection With Cpe-Fe3o4nps, Süleyman Aşir, Nemah Abu Shama, Najya Maroof Saleem, Devri̇m Kayali, Kami̇l Di̇mi̇li̇ler

Turkish Journal of Electrical Engineering and Computer Sciences

Most common electrochemical analysis techniques used to evaluate enzymes, proteins, and heavy metals over a wide potential range include electrochemical impedance EIS, differential pulse voltammetry DPV, and square wave voltammetry SQWV. Machine leaning algorithms MLA are employed to classify the Potassium ferricyaniyde K3Fe(CN)6 concentrations using a modified carbon paste electrode CPE embedded with iron (II, III) oxide (Fe3O4) NPs. The CV, DPV, and SQWV voltametric data collected from all K3Fe(CN)6 concentrations were used as input data to the machine learning algorithms. Signaling current of K3Fe(CN)6 concentrations improved at Fe3O4 modified with nanoparticles NPs CPE in a comparison with the unmodified …

Balancing Anarchy And Efficiency: Partial Team Formations And Learning In Potential Games, Muhammed Sayin

Turkish Journal of Electrical Engineering and Computer Sciences

Non-cooperative multi-agent learning, focusing on individual rationality (anarchy), often falls short in achieving system-wide efficiency in potential games, a class of games with applications in decentralized control and optimization. On the other hand, cooperative approaches prioritize system efficiency but often via global coordination, which could be impractical, e.g., for large-scale and less controlled environments. To address this dilemma, we propose a novel framework that introduces partial team formations, allowing team members with shared objectives to coordinate their actions while maintaining team-wise rationality for improved system-wide efficiency without the burden of global coordination. We model such interactions as a multi-team game …

A Content-Based Recommender System For The Uav Caching In The Field Of Entertainment In Fog Computing, Elham Darbanian, Mohsen Nickray

Turkish Journal of Electrical Engineering and Computer Sciences

The Unmanned Aerial Vehicle (UAV) can be used as good flying base stations to cache popular content and follow a user mobility pattern, to help them in a suitable services. Conventional edge caching algorithms often prioritize cache contents with higher popularity. Nevertheless, the cache capacity of mobile devices is restricted, and diverse clients may have expansive varieties in content inclination designs. In this manner, the performance and effectiveness of the cache will be so constrained without great strategies. The composition of recommender system and edge caching is considered as a new research topic, which is used to reduce cost and …

Advanced Prediction Of Events And Temporal Expressions In Medical Text Using The Jena Api: Integrating Ontologies And Deep Learning, Hafida Tiaiba, Lyazid Sabri, Okba Kazar

Turkish Journal of Electrical Engineering and Computer Sciences

The automatic recognition of medical concepts and temporal expressions in narrative clinical text enhances the utility of electronic health records (EHRs) and supports clinical decision-making and research. However, challenges arise due to the complexity of medical language, ambiguity of terms, and variability in expression. To address these issues, the use of medical ontologies significantly improves data management in healthcare. A novel approach integrates various medical ontologies covering drugs, symptoms, diseases, anatomy, disease drivers, and food, and with convolutional neural networks (CNNs) -including Standard, Transposed, and Separable convolution models (CONSEPTR)- to extract both medical events (e.g., clinical departments, treatments, problems) and …

Improving Rupture Status Prediction For Intracranial Aneurysms Using Wall Shear Stress Informatics, Jingfeng Jiang, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, Joseph Gemmette, Aditya Pandey

Michigan Tech Publications

BACKGROUND: Wall shear stress (WSS) plays a crucial role in the natural history of intracranial aneurysms (IA). However, spatial variations among WSS have rarely been utilized to correlate with IAs' natural history. This study aims to establish the feasibility of using spatial patterns of WSS data to predict IAs' rupture status (i.e., ruptured versus unruptured). METHODS: "Patient-specific" computational fluid dynamics (CFD) simulations were performed for 112 IAs; each IA's rupture status was known from medical records. Recall that CFD-simulated hemodynamics data (wall shear stress and its derivatives) are located on unstructured meshes. Hence, we mapped WSS data from an unstructured …

Online Energy Consumption Forecast For Battery Electric Buses Using A Learning-Free Algebraic Method, Zejiang Wang, Guanhao Xu, Ruixiao Sun, Anye Zhou, Adian Cook, Yuche Chen

Faculty Publications

Accurately predicting the energy consumption plays a vital role in battery electric buses (BEBs) route planning and deployment. Based on the algebraic derivative estimation, we present a novel method to forecast the energy consumption in real time. In contrast to the mainstream machine-learning-based methods, the proposed method does not require access to the historical energy consumption data. It eliminates the time-consuming and computationally expensive offline training. Consequently, its prediction performance is not constrained by the quantity and quality of the training data. Moreover, the method can swiftly adapt to new situations not included in the previous driving cycles, which makes …

Identifying The Effect Of Architecture Morphology On Wind Fields And Pm2.5 Dispersion At The Urban Block Scale Via A Combined Scheme, Bin Guo, Lu Li, Xiaowei Zhu, Zheng Wang, Miaoyi Chen, Lin Pei, Tengyue Guo

Mechanical and Materials Engineering Faculty Publications and Presentations

This study explores the potential of architecture morphology to mitigate PM2.5 pollution through enhanced urban ventilation. Despite the recognized influence of building designs on wind and air pollution distribution at the urban block scale, specific mechanisms remain poorly understood. To address this gap, we have developed an integrative approach combining in-situ observations, Geographic Information System (GIS), Remote Sensing (RS), Computational Fluid Dynamics (CFD), and statistical modeling. Here, CFD simulates the flow field and PM2.5 dispersion, using in-situ observations for turbulence model selection. GIS quantify architecture morphology parameters to establish accurate CFD boundary conditions, ensuring simulations reflect real-world conditions and precise …

2 Kv Al0.64Ga0.36N-Channel High Electron Mobility Transistors With Passivation And Field Plates, Md Tahmidul Alam, Jiahao Chen, Kenneth Stephenson, Md Abdullah-Al Mamun, Abdullah Al Mamun Mazumder, Shubhra S. Pasayat, Asif Khan, Chirag Gupta

Faculty Publications

High voltage (∼2 kV) Al_0.64Ga_0.36N-channel high electron mobility transistors were fabricated with an on-resistance of ∼75 Ω. mm (∼21 mΩ. cm²). Two field plates of variable dimensions were utilized to optimize the breakdown voltage. The breakdown voltage reached >3 kV (tool limit) before passivation however it reduced to ∼2 kV after Si₃N₄ surface passivation and field plate deposition. The breakdown voltage and on-resistance demonstrated a strong linear correlation in a scattered plot of ∼50 measured transistors. The fabricated transistors were electrically characterized and benchmarked against the state-of-the-art high-voltage (> 1 kV) …

Transfer Learning For Thickener Control, Samuel Arce Munoz, John Hedengren

Faculty Publications

Thickener control is a key area of focus in the minerals processing industry, particularly due to its crucial role in water recovery, which is essential for sustainable resource management. The highly nonlinear nature of thickener dynamics presents significant challenges in modeling and optimization, making it a strong candidate for advanced surrogate modeling techniques. However, traditional data-driven approaches often require extensive datasets, which are frequently unavailable, especially in new plants or unexplored operational domains. Developing data-driven models without enough data representative of the dynamics of the system could result in incorrect predictions and consequently, unstable response of the controller. This paper …

Advancing Prosthetic Technology: 3d-Printed Robotic Arm With Micro Linear Actuators, Vu Tran, Nathan Reed, Mahdi Yazdanpour

Posters-at-the-Capitol

The increasing demand for affordable and accessible prosthetic solutions has driven innovation in the field of robotics. In this project, we present the design and development of a 3D-printed robotic prosthetic arm aimed at addressing the challenges faced by individuals with upper limb amputations. Our prosthetic arm utilizes five micro linear actuators to achieve precise and naturalistic movement. The design of the prosthetic arm prioritizes affordability and accessibility, with a focus on leveraging 3D printing technology to reduce manufacturing costs and enable customization. The use of micro linear actuators offers advantages in terms of compactness, lightweight construction, and efficient power …

The Dim Prospects Of A Child Find: Journal Entries Of An Academic, Engineer, And Mother Navigating Special Education Services, Idalis Villanueva Alarcon

Journal of Pre-College Engineering Education Research (J-PEER)

This provocation is a journaling exercise to uncover the author’s experiences of navigating child find, a process to identify specific learning disability needs for my oldest child. While the Individuals with Disabilities Education Act provides provisions to protect and support children with special needs, private schools do not operate equally. When considering how these inequities in the educational system overlap with precollege engineering education, there is a large gap the literature, positioning a dire need to move disability studies into the precollege engineering education space. The critical authoethnographic journal sheds light on the inequities and educational gaps that are present …

Investigating Nanomaterials For Improved Barrier Properties In Food Packaging, Alice Njolke Mafe, Great Iruoghene Edo, Patrick Othuke Akpoghelie, Ebuka Chukwuma Umelo, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This review examines the potential of nanomaterials in revolutionizing food packaging, focusing on their role in enhancing barrier properties and extending the shelf life of packaged foods. Traditional packaging materials often fall short in effectively protecting against oxygen, moisture, and UV light, resulting in diminished food quality and shorter shelf life. Nanomaterials, including nanoclays, metal oxide nanoparticles (e.g., ZnO, TiO₂), carbon-based nanomaterials (e.g., graphene, carbon nanotubes), and biodegradable options like cellulose nanocrystals, have emerged as promising solutions. These materials offer exceptional gas and moisture barrier properties, antimicrobial effects, and UV protection capabilities. The review provides an in-depth exploration of various …

Comparative Analysis Of The Environmental Impact Of Biopolymer-Based And Conventional Plastic Packaging In Food Engineering Applications, Alice Njolke Mafe, Great Iruoghene Edo, Patrick Othuke Akpoghelie, Ogunyemi Ayobami Joshua, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

The paper presents a comparative analysis of the environmental impacts of biopolymer-based packaging versus conventional plastic packaging in food engineering applications. It begins by highlighting the critical role of packaging in food preservation and safety, while addressing the environmental challenges posed by traditional plastic packaging, including pollution, waste accumulation, and the generation of microplastics. The review compares conventional plastics like PET and HDPE with biopolymers such as PLA and PHA, discussing the environmental advantages of biopolymers in terms of carbon footprint reduction, renewable resource utilization, and enhanced biodegradability. A life cycle assessment is employed to evaluate the resource usage, emissions, …

Sustainable Design Perspective Of Offshore Concrete Structures Subjected To Reinforcement Corrosion Within Cracked Structures, Riyadh Alsultani, Ahmed Ashor Al-Saadi, Ali Imad Mansor, Omran I. Mohammed, Sabah Mohammed Abed, Raghda Ali Naser, Alaa Hussein, Fatima Muslim, Haneen Fadhil, Raad F. Hasan, Qahtan Adnan Saber, Zahra Salahaldain, Sepanta Naimi

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Recent advancements in design methodologies have greatly enhanced the dependable design of offshore structures. However, rigorous validation remains crucial for confirming the efficacy of these designs. Concrete, a material widely used in offshore structures, faces significant challenges under harsh environmental conditions such as chloride ion exposure from seawater. This exposure leads to deterioration of concrete properties and poses a severe threat to the sustainability of these structures. Cracking in concrete, both in new and operational phases, often leads to chloride-driven corrosion of reinforcing steel, which shortens the service life of the structures. This study aims to quantify the depth of …

Mathematical Treatment Of Management Triangle To Be Used Numerically As A Tool In Performance Measuring Of Construction Projects, Aqeel Abdulhassan Husein, Ruqaya A. Muter, Mohammed Lateef Hussein, Mohanad Rasim Al-Owaidi, Fatin Hashim Kareem, Sabah Mohammed Abd Mosehab, Ali Imad Naji, Ali Alrekaby, Murtadha D. Abdullah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This study introduces a mathematical treatment to the triangle of management to be used numerically as a tool in measuring the performance of projects in view of the adopted priorities during executing phases of the projects. The actual outputs of construction projects are usually deviated from planned targets by more or less. If a group of projects within a unique attitude are considered , a trend can be investigated representing the biased efforts to one of the three targets : delivering the project on time , in the planned cost and in the specified quality. This study showed that the …

A Numerical Study Of The Effect Of Geogrid On Road Way Reinforced With Layers Of Pavements, Nabeh Alderoubi, Mustafa Abdul Salam Mustafa, Samir Ali Amin, Laith Jaafer Habeeb, Hasan Shakir Majdi

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

The work assesses how streets developed out of many layers of asphalt appear like when placed on the support of Geogrid. Using the principles of computer graphics, the present work presents an improved system of modeling and analysis of the behavior of a multilayer asphalt pavement. Has to be made to determine if the support adequate to enhance flexibility as well as solidity relative to the construction of roadways. As for the elements for consideration, there are usual factors such as soil quality, traffic stacking as well as environmental factors. A slab measuring 200 mm by 100 mm was compressed …

Sno2 Modified Csh2Po4 (Cdp) Protonic Electrolyte For An Electrochemical Hydrogen Pump, Minal Gupta, Kangkang Zhang, Kevin Huang

Faculty Publications

CsH₂PO₄ (CDP) is a well-known super-protonic conductor. However, it must operate under high humidity conditions to prevent dehydration and fast conductivity decay. Herein, we report that adding hydrophilic SnO₂ into CDP can suppress the rate of dehydration of CDP, thus stabilizing protonic conductivity over a broader range of water partial pressures (pH₂O). A total of seven compositions of (1 − x)CDP/(x)SnO₂ were prepared, where 5 ≤ x ≤ 40 (wt%), and examined for their phasal, microstructural, and vibrational properties using X-ray diffraction, field emission scanning electron microscopy, and …

01.13.2025 Ored Connect, Liz Williamson

ORED Newsletter

NIH Public Access Policy Update

Procurement Information for Award Spending online course announcement

National Sea Grant Law Center funding

Sno2 Modified Csh2Po4 (Cdp) Protonic Electrolyte For An Electrochemical Hydrogen Pump, Minal Gupta, Kangkang Zhang, Kevin Huang

Faculty Publications

CsH₂PO₄ (CDP) is a well-known super-protonic conductor. However, it must operate under high humidity conditions to prevent dehydration and fast conductivity decay. Herein, we report that adding hydrophilic SnO2 into CDP can suppress the rate of dehydration of CDP, thus stabilizing protonic conductivity over a broader range of water partial pressures (pH2O). A total of seven compositions of (1 - x)CDP/(x)SnO₂ were prepared, where 5 ≤ x ≤ 40 (wt%), and examined for their phasal, microstructural, and vibrational properties using X-ray diffraction, field emission scanning electron microscopy, and Raman spectroscopy. The signature of H₂O …

Synthesis Of Durable Sio2 Nanoparticle Coatings For Self- Cleaning Solar Panel Surfaces, Pratima Parajuli

Masters Theses

The demand for innovations that improve the efficiency of solar panels has grown due to an increasing reliance on solar energy as a sustainable energy source. Great effort has been made to increase the conversion efficiency of solar energy to electrical energy. The accumulation of dirt, dust, and other environmental particulates on their surfaces is a challenge faced by solar panel technology. These contaminants can significantly reduce the overall performance of the solar panel. Recently, interest in developing self-cleaning surfaces has risen to maintain the performance of solar panels.To create self-cleaning surfaces, silicon dioxide (SiO₂) nanoparticles are emerging …

Effect Of Displacement Rate On Delamination Growth Rate In Unidirectional Glass Fiber Composites In Both Bridging And Non-Bridging Scenarios, Wafaa Ahmed Shaker, Taher H. Awad, Mostafa M. Elhadary

Mansoura Engineering Journal

Experimentally, the mode I delamination behavior of unidirectional glass/epoxy composites at quasi-static displacement rates of 1, 3, and 5 is explored. When comparing the variation between fracture toughness GIC values at 1 mm/min and GIC at 3 mm/min, the average variation is 30% increasing. However, the average variance in GIC between 3 mm/min and 5 mm/min is increasing by 11%. As a result, the crack propagation velocity has a noticeable effect on the value of GIC at lower speeds and a limited effect at higher speeds. The same comparison is made with bridging specimens for 1 and 3 mm/min displacement …

Predicting Hazardous Near-Earth Objects Using Machine Learning For Planetary Defense, John Costa (Student), Lily Popova Zhuhadar (Mentor)

Posters-at-the-Capitol

Predicting Hazardous Near-Earth Objects Using Machine Learning for Planetary Defense

This research develops a machine learning model to classify Near-Earth Objects (NEOs) as hazardous or non-hazardous based on their physical and orbital characteristics, leveraging NASA's dataset of certified NEOs. NEOs, including asteroids and comets, often pass within close proximity to Earth, and while most pose no threat, some have the potential for catastrophic impacts. By using predictive models such as decision trees and random forests, this study aims to prioritize resources for monitoring and mitigation of high-risk objects. The model incorporates key features like velocity, diameter, and proximity to Earth …

Feasibility Study For Providing Remedial Measures For Overburden Dump In New Majri Ug To Oc Mine, Wcl Majri Area, Warora, Chandrapur, Himanshu Kumar Jangir, Rahul Shende, Omkar Navagire, Srinivasan Venkatraman, Anirban Mandal, Anjan Patel

Journal of Sustainable Mining

The central region of India is abundant in fertile black cotton soil, and the presence of such weak floors in open-cast mines poses significant slope stability concerns for overburden (OB) dumps. Addressing these issues is crucial for ensuring safe mining operations and cost-effectiveness. Several coal mines in this region have experienced overburden dump collapses due to the weak soil foundation. To enhance slope stability and mitigate the heaving effect near the toe of the dump, this study proposes parametric research that explores the flattening of the overall slope angle of the dump, bench angle optimization, and various feasible dimensions for …

Enhancing Smartphone Authentication By Integrating Decision-Making Model With Touch Pressure, Finger Location Data, And Advanced Cybersecurity Techniques, Maytham M. Hamood, Moceheb Lazam Shuwandy, Rawan Adel Fawzi Alsharida

Iraqi Journal for Computer Science and Mathematics

Smartphone authentication methods face significant challenges in achieving high accuracy, robustness, and usability within cybersecurity applications. Traditional methods, such as passwords and biometric recognition, often lack adaptability and are prone to high false-positive rates, impacting security and user acceptance. This study presents a novel hybrid approach incorporating machine learning (ML) and the Analytic Hierarchy Process (AHP) in a framework to facilitate decision-making abilities and improve smartphone authentication. A novel dataset was constructed based on 3D touch sensor data (pressure levels and spatial dynamics) collected from 20 participants performing tasks per task over sessions, where AHP was used to rank/choose relevant …

Optimization Of The Cross-Section Of Generic Flexible Bridges, Manal Kamal Zaki, Mina M. Helmy, Mark M. Tawadros

Journal of Engineering Research

This paper investigates the behavior of flexible bridges prone to aerodynamic instabilities due to wind. Optimal cross-sections that reduce aerodynamic forces are recommended. This is achieved by studying a variety of bridge sections with different widths of upper and lower sloping edges in addition to studying the upper and lower cramps of the deck. The wind velocities are also parameterized. Computations are developed based on the powerful computational fluid dynamics (CFD) method known as FLUENT and embedded in ANSYS software. For parametric study, a design of experiments (DOE) is performed based on the response surface methodology (RSM) combined with the …

Effects Of Processing Parameters On Kerf Cutting Quality Following Abrasive Waterjet Slotting Of Ti-6al-4v/Cfrp/Al7075 Stacks, Abeer Eisa, Abdulaziz Elshinawi, Mohamed Fattouh

Journal of Engineering Research

Abrasive water jet machining (AWJM) presents a viable substitute to traditional machining methods for cutting straight kerfs in Ti-6Al-4V/CFRP/Al7075 composite stacks. This study investigated the influences of various process settings, namely the hydraulic pressure (P), traverse speed (V), and stand-off distance (SOD) on kerf characteristics, including the kerf geometry (W_k), taper angle (θ_K), roughness (R_a), and the material removal (MRR). The metal plates, including Ti-6Al-4V and Al7075, exhibited a positive taper angle, whereas the CFRP composite plate revealed a negative taper angle across …