Engineering Commons^™

Steminism: Analyzing Factors That Improve Retention Of Women In Stem, Kira Carter, Jane Kelley, Jason Vasser-Elong, Rc Patterson

Dissertations

Our co-authored research ‘Steminism: Analyzing Factors That Improve Retention for Women as STEM Majors’ analyzed factors that contributed to the retention of women in science, technology, engineering, and mathematics (STEM) programs at Missouri University of Science & Technology (Missouri S&T). Women make up half of the US population, and while careers in (STEM) are an integral part of the US economy, women are underrepresented in these career fields. The purpose of our dissertation is to address the underrepresentation of women in STEM majors. Our methodology included homogeneous sampling to collect qualitative data. More specifically, we consulted with academic advisors and …

An Efficient Regression Testing Suite Optimization System With Iso Quality Factors, Prakash V

Theses and Dissertations

Regression testing is a black-box testing technique. It is utilized to validate an alteration in code in the software to ensure whether it has affected the present performance of the product. It has also been used to assess the adjusted variants of the product. Moreover, software testing is the most efficient process in Software Development Life Cycle (SLDC).

The study introduces Green cloud computing, incorporating computer resources such as foundations, PCs, application administrations, and information stockpiling. Notably, the research imbibes reliability, dependability, and maintainability as quality meters in the validation process. The goal of the proposed system is to implement …

Wire Texture C-Axis Distribution Of Strontium Ferrite/Pa-12 Extruded Filament, Gabriela Espinosa-Rodriguez, Oluwasola Arigbabowo, Jonathan Alvarado, Jitendra Tate, Wilhelmus J. Geerts

Mechanical Engineering Faculty Publications

The magnetic anisotropy of strontium ferrite (SF)/PA12 filament, a popular hard magnetic ferrimagnetic composites that is used for 3D-printing of permanent magnets, is studied by vibrating sample magnetometry. The studied filaments have a composition of SF/PA-12 thermoplastic composite with a 40% wt.  ratio of SF. SF particles are non-spherical platelets with an average diameter of 1.3 um and a diameter to thickness ratio of 3. Filaments are produced by a twin-screw extruder and have a diameter of 1.5 mm. SEM images show that the SF particles are homogeneously distributed through the filament. VSM measurements on different parts of the filaments …

Ai-Based Investigation And Mitigation Of Rain Effect On Channel Performance With Aid Of A Novel 3d Slot Array Antenna Design For High Throughput Satellite System, Ali M. Al-Saegh, Fatma Taher, Taha A. Elwi, Mohammad Alibakhshikenari, Bal S. Virdee, Osama Abdullah, Salahuddin Khan, Patrizia Livreri, Abdulmajeed Al-Jumaily, Mohamed Fathy Abo Sree, Arkan Mousa Majeed, Lida Kouhalvandi, Zaid A. Abdul Hassain, Giovanni Pau

All Works

Rain attenuation poses a significant challenge for high-throughput communication systems. In response, this paper introduces an artificial intelligence (AI) model designed for predicting and mitigating rain-induced impairments in high-throughput satellite (HTS) to land channels. The model is based on three AI algorithms developed using 3D antenna design to characterize, analyze, and mitigate rain-induced attenuation, optimizing channel quality specifically in the United Arab Emirates (UAE). The study evaluates various parameters, including rain-specific attenuation, effective slant path through rain, rain-induced attenuation, signal carrier-to-noise ratio, and symbol error rate, for five conventional modulation schemes: Quadrature Phase-Shift Keying (QPSK), 8-Phase Shift Keying (8-PSK), 16-Quadrature …

Quantifying Wildfire Drivers And Predictability In Boreal Peatlands Using A Two-Step Error-Correcting Machine Learning Framework In Tefire V1.0, Rongyun Tang, Mingzhou Jin, Daniel M. Ricciuto, Anping Chen, Yulong Zhang

Biological and Agricultural Engineering Faculty Publications and Presentations

Wildfires are becoming an increasing challenge to the sustainability of boreal peatland (BP) ecosystems and can alter the stability of boreal carbon storage. However, predicting the occurrence of rare and extreme BP fires proves to be challenging, and gaining a quantitative understanding of the factors, both natural and anthropogenic, inducing BP fires remains elusive. Here, we quantified the predictability of BP fires and their primary controlling factors from 1997 to 2015 using a two-step correcting machine learning (ML) framework that combines multiple ML classifiers, regression models, and an error-correcting technique. We found that (1) the adopted oversampling algorithm effectively addressed …

Residual Stress Generation In Additive Manufacturing Of Complex Lattice Geometries, Katie Bruggeman, Nathan Klingbeil, Anthony N. Palazotto

Faculty Publications

Residual stresses developed during additive manufacturing (AM) can influence the mechanical performance of structural components in their intended applications. In this study, thermomechanical residual stress simulations of the laser powder bed fusion (LPBF) process are conducted for both simplified (plate and cube-shaped) geometries as well as five complex lattice geometries fabricated with Inconel 718. These simulations are conducted with the commercial software package Simufact Additive©, which uses a nonlinear finite element analysis and layer-by-layer averaging approach in determining residual stresses. To verify the efficacy of the Simufact Additive© simulations, numerical results for the plate and cube-shape geometries are analyzed for …

Detecting Substance Use Disorder Using Social Media Data And Dark Web: Time And Knowledge Aware Study, Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois Lamy, Raminta Daniulaityte, Amit Sheth

Faculty Publications

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship being: substance misuse causes poor mental health. However, the lack of evidence on the relationship has resulted in opioids being largely inaccessible through legal means. This study analyzes the substance use posts on social media with opioids being sold through crypto market listings. We use the Drug Abuse Ontology, state-of-the-art deep learning, and knowledge-aware BERT-based models to generate sentiment and emotion for the social media …

Tribological Properties Of H-Bn, Ag And Mgo Nanostructures As Lubricant Additives In Vegetable Oils, Victoria Granja, Kollol Sarker Jogesh, Jaime Taha-Tijerina, C. Fred Higgs Iii

Informatics and Engineering Systems Faculty Publications

There exists an ever-growing need for sustainable engineering solutions to improve emission control and the energy efficiency of tribosystems. This study examines the tribological properties of two environmentally friendly vegetable fluids, soybean and sunflower oil, with the addition of three non-toxic nanostructures (h-BN, silver and MgO) at different concentrations. It was found that nanostructures added to vegetable oils at specific concentrations can exhibit good friction reduction and wear preventive properties. The addition of h-BN nanosheets in sunflower oil decreased the coefficient of friction and the wear damage, as measured by the wear scar diameter. Silver and magnesium oxide nanoparticles further …

Simulation Of The Multi-Wake Evolution Of Two Sandia National Labs/National Rotor Testbed Turbines Operating In A Tandem Layout, Apurva Baruah, Fernando L. Ponta, Alayna Farrell

Michigan Tech Publications

The future of wind power systems deployment is in the form of wind farms comprised of scores of such large turbines, most likely at offshore locations. Individual turbines have grown in span from a few tens of meters to today’s large turbines with rotor diameters that dwarf even the largest commercial aircraft. These massive dynamical systems present unique challenges at scales unparalleled in prior applications of wind science research. Fundamental to this effort is the understanding of the wind turbine wake and its evolution. Furthermore, the optimization of the entire wind farm depends on the evolution of the wakes of …

Modified Zero-Gravity Chair In The Management Of Pain And Anxiety With Emphasis On Pre And Post Anesthesia For Surgical Procedures, Alexander Tisdale, Kinsley Batson, Zachary Jamous, Isabella Termini, Kyle Mooday, Matt Cohn, Jackson Justice

Annual Research Symposium

The purpose of this research is the integration of a zero-gravity chair with planar vibration as a non-pharmaceutical approach to preoperative anxiety and postoperative pain management. The treatment plan involves preoperative familiarization with the chair's vibrational patterns and postoperative use for pain relief. Integration of this approach holds promise in reshaping postoperative care paradigms, advocating for personalized, holistic interventions to enhance patient well-being and mitigate opioid-related risks.

Association Of Bovine Arch Anatomy With Incident Stroke After Transcatheter Aortic Valve Replacement, Gerardo V. Lo Russo, Hasan S. Alarouri, Abdulah Al-Abcha, Brennan Vogl, Abdulah Mahayni, Agata Sularz, Hoda Hatoum, Jeremy Collins, Juan A. Crestanello, Mohamad Alkhouli

Michigan Tech Publications

BACKGROUND: Acute ischemic stroke complicates 2 % to 3 % of transcatheter aortic valve replacements (TAVRs). This study aimed to identify the aortic anatomic correlates in patients after TAVR stroke. METHODS AND RESULTS: This is a single-center, retrospective study of patients who underwent TAVR at the Mayo Clinic between 2012 and 2022. The aortic arch morphology was determined via a manual review of the pre-TAVR computed tomography images. An "a priori" approach was used to select the covariates for the following: (1) the logistic regression model assessing the association between a bovine arch and periprocedural stroke (defined as stroke within …

Pre‑Sizing Online Tool For Photovoltaic Water Pumping System: Development, Testing, Validation, And Evaluation, Sameh O. Abdellatif, Hani Ghali, Ibrahem Mohamed Mahmoud, Ahmed Hatem, Abdullah Hatem

Electrical Engineering

No abstract provided.

Path And Strategy Of Pollution And Carbon Reduction By Digitization In Electric Power Enterprises, Xiaohong Chen, Runcheng Tang, Dongbin Hu, Xuesong Xu, Xiangbo Tang, Guodong Yi, Weiwei Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the extensive application and innovation of digital technology in the energy sector, digital technology has become increasingly crucial for the power industry to achieve the goal of reducing pollution and carbon emissions. How digital technology enables electric power enterprises to achieve this goal has attracted much attention. Firstly, the study analyzes the progress of digital technology applications in pollution reduction and carbon reduction in electric power enterprises. Then, it identifies the existing problems in the current application of digital technology in the power industry for reducing pollution and carbon emissions. Finally, it explores the potential ways and approaches of …

Analysis And Recommendations For Energy Conservation And Carbon Emission Reduction In Industry Boosted By Digital Energy Management Systems, Duanyang Geng, Tong Xu, Qinghua Zhu, Steve Evans

Bulletin of Chinese Academy of Sciences (Chinese Version)

Energy consumption during production processes in the industry is a main source of carbon dioxide emissions. Therefore, for China’s dual-carbon goals, industrial enterprises need to focus on reducing energy waste to achieve energy-efficient production, thereby effectively reducing carbon emissions in industrial production. In recent years, with the continuous development and popularization of digital technology, digital energy management systems have played a crucial role in energy saving by visualizing invisible energy in the industry. In this context, this study first analyses the current status of digital energy management system applications in the UK, the US, Germany, and Sweden, summarizes their characteristics …

Key Elements, Mechanism Analysis And Evaluation Indicators Of Digital And Intelligent Integration Transformation And Development Of Manufacturing Industry, Xiaoqiang Sun, Xiuyun Gao, Yumei Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The digital and intelligent integration transformation of manufacturing industry has become an important driving force for the high-quality development of traditional manufacturing enterprises. This study clarifies the main research context and key issues of scholars on the digital and intelligent integration transformation of manufacturing industry, refines the goals, main elements, and influencing factors of digital and intelligent integration transformation of manufacturing industry, builds a power network model for the transformation and development of digital and intelligent integration of manufacturing industry according to the system feedback principle of system dynamics, analyzes the mechanism of action between various elements of the system, …

Development Path And Policy Guarantee Of China's Advanced Manufacturing Industry Under Background Of Fourth Industrial Revolution, Chang Wang, Siyuan Zhou, Hongjun Geng

Bulletin of Chinese Academy of Sciences (Chinese Version)

How to seize the opportunity window opened by the fourth industrial revolution and enhance the international competitive advantage of advanced manufacturing has become an important issue concerned by existing research and policy practitioners. This study analyzes the background, characteristics, and influence of the fourth industrial revolution on the development of advanced manufacturing industry. Based on this, it discusses the development status and problems of four types of advanced manufacturing industries, including digitally empowered new infrastructure industries, intelligent manufacturing high-end equipment industries, brand-oriented new consumption industries, and science-based industries. The development paths of “fusion innovation”, “intelligent manufacturing upgrade”, “quality improvement”, and …

Impact Of Chips And Science Act Of 2022 On China's Related Industries And Policy Suggestions, Jiuling Shi, Yongmiao Hong, Ying Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the cornerstone of modern information technology, chips are the strategic commanding heights of competition game and industrial development of countries all over the world. In recent years, the United States has taken advantage of its technological advances to successively introduce chip laws against China, which seriously violates the laws of market economy and has a significant impact on the global semiconductor industry chain. This study first sorts out the development pattern of the global semiconductor industry, and then introduces the background, content and purpose of CHIPS and Science Act of 2022. Then, it analyzes the impact of the …

Electric Vehicles Contribute To China's Energy Security And Carbon Peaking And Carbon Neutrality, Jianfeng Guo, Xuemei Zhang, Qi Cao, Fu Gu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The current international situation is complicated and unstable, and China is in the midst of an important economic transition as it deals with the twin concerns of energy security and carbon peaking and carbon neutrality (referred to as dual carbon goals). Although the dual carbon goals aim a strong emphasis on energy security, certain emission reduction strategies will place restrictions on energy security that is directly connected, such as energy supply and grid load, making it challenging to simultaneously fulfill the optimization goal. China now has the task of figuring out how to rationalize and optimize the coordinated promotion of …

Data And Intelligent Driven Space Science Experimental Research: New Exploration Under Ai4s Paradigm, Shengyang Li, Kang Liu, Yunfei Liu, Chufan Lai

Bulletin of Chinese Academy of Sciences (Chinese Version)

As artificial intelligence (AI) technology continues to advance, it is revolutionizing various scientific fields, giving rise to a new research paradigm known as AI for Science (AI4S). This study highlights the unique multidisciplinary advantages of AI in space science experiments conducted under microgravity conditions. It provides a comprehensive analysis of AI-driven approaches to multimodal space science experiment data pattern mining, domain knowledge extraction, interdisciplinary knowledge integration, and cognitive intelligence. The study reveals AI’s substantial potential to enhance intelligent scientific research, cognition, and discovery within the realm of space science experiments. The findings suggest that data-driven space science research, as a …

Fabricating A 3d Floating Porous Pdms − Ag/Agbr Decorated G-C3n4 Nanocomposite Sponge As A Re-Usable Visible Light Photocatalyst, Maryam Galal Elmahgary, Mohamed Taha, A Kalid, Shymaa Madany, Yasser Attia

Chemical Engineering

No abstract provided.

Adaptive Inter-Vehicular Collaboration For Level 5 Autonomous Driving, Sumbal Malik

Thesis/ Dissertation Defenses

The evolution of sensor technologies, mobile networks, and artificial intelligence has significantly expanded the horizons of various sectors, notably in autonomous driving. According to the World Health Organization, over 1.3 million people succumb to traffic accidents annually, predominantly due to human negligence. Complex urban environments, characterized by mixed traffic flow involving Human Driven Vehicles and Connected and Autonomous Vehicles, intricate traffic patterns, frequent lane changes, and slow speeds, face escalating challenges related to traffic accidents and congestion. These challenges lead to wasted time, increased fuel consumption, and heightened pollution emission levels. Hence, the development of a safe and robust version …

Modeling At The Nanometric Scale Of Interfacial Defects Of A Semiconductor Heterostructure In The Isotropic And Anisotropic Cases For The Study Of The Influence Of Stresses, Ahmed Boussaha, Rafik Makhloufi, Rachid Benbouta, Mourad Brioua

Emirates Journal for Engineering Research

This work aims to determine the effect of stresses caused by dislocation networks placed at the interface of a semiconductor heterostructure of the thin GaAs/Si system. In this case, we use a mathematical modeling by Fourier series expansion to numerically simulate the stresses for the two cases of isotropic and anisotropic elasticity in order to predict the mechanical behavior of the heterostructure in the presence of interfacial dislocations while respecting well-defined stress boundary conditions. The elastic stress relaxation is reached for a layer thickness threshold of the GaAs deposit on the Si substrate not exceeding 5 nm.

Design And Development Of Deep Eutectic Solvent Assisted Pressurized Liquid Extraction Of Nutraceuticals, Harish Babu B

Theses and Dissertations

Over recent decades, the usage of nutraceuticals has been exponentially increasing as alternates to pharmaceutical drugs. However, extraction of these therapeutically significant compounds from their corresponding sources requires the use of volatile organic solvents like hexane, ethanol and chloroform which increases the global warming potential. This problem has been overcome in recent decades by the use of supercritical carbon dioxide (SCO2) as the extraction solvent. Since SCO2 is non-polar in nature, the extraction of polar compounds with better efficiency is questionable.

On the other hand, modernization in solvent engineering has created generations of green solvents like ionic liquids (ILs), deep …

Hybrid Hydrolysis And Fermentation Of Prosopis Juliflora Pods For Biohydrogen Production By Dark Fermentation, Gayathri G

Theses and Dissertations

The rapid consumption of fossil fuels has resulted in the energy crisis and many environmental issues, including air pollution and the greenhouse effect. Hydrogen is the independent source of the highest energy content, with 122 KJ g-1. Biohydrogen produced from lignocellulosic biomass (LCB) is an excellent alternative fuel for its cleanability, renewability and sustainability. Biohydrogen production from dark fermentation using lignocellulosic biomass provides low cost and a sustainable pathway to utilize a vast amount of waste.

Dark fermentation has considerable potential for hydrogen production because it does not require sunlight, allowing for full-time operation and minimizing bioreactor complexity. The major …

Energy System For Evaluation Of Modification Methods On Energy Transfer Efficiency And Optimization Ofmembranes, Tian Li, Hong Zhou, Wei Ding, Jinjun Wang, Tiancheng Zhang

Department of Civil and Environmental Engineering: Faculty Publications

Saving energy is crucial for utilizing membrane technology, but there is no energy parameter for understanding the relationships among membrane performance and energy. Here, φ is defined as the energy transfer efficiency of the membrane, and its numerical expression of membrane performance is poor (e.g., in the range of 10⁻²³). The method of modifying membranes is a crucial determinant for developing membrane science, but researchers using current parameters to evaluate modification methods might lead to erroneous conclusions. Hence, the newly established system θ is used to analyze the influence of different modification methods on energy consumption, which not …

Are Vehicle Tires Major Contributors To Microplastic Emissions Into The China Seas? A Simple Model Perspective., Shuolin Xiao, Yuran Liang, Xiaowei Zhu, Simone Q. Kyes, Xiaofeng Cai

Mechanical and Materials Engineering Faculty Publications and Presentations

Microplastics pose a substantial threat to our environment. Given China's large population and rapid economic growth, it is urgent to estimate the annual emissions of microplastics into its marine environment. The microplastics show a significant variation in their source emissions as well as in their physical and chemical properties, leading to differences in their transport and fate in aquatic environments. To account for these variations, we developed a process-oriented model that considers microplastics from different sources and the inter-provincial variation in their retention rate to assess annual microplastic emissions into the China seas. On a national scale, of the microplastics …

Development Of An Empirical Ground-Motion Model For Post-Mining Induced Seismicity Near Gardanne, France, Pierre Gehl, Pascal Dominique, Hideo Aochi, Mickael Delatre, Jannes Kinscher, Isabelle Contrucci

Journal of Sustainable Mining

Since the closure of mining activities in 2003, the coal basin of Gardanne in South-East France has experienced thousands of small-magnitude earthquake events, mostly triggered by the flooding of mine workings. Some of these events have been powerful enough to be strongly felt by the population, generating nuisance and concern about potential damage to buildings. The aim of this study is to improve the characterisation of the level of ground motion at the surface, by developing a ground-motion model for post-mining induced seismicity, based on several years of recorded data. A Bayesian-based method is applied to the data in order …

A Systematic Survey On 5g And 6g Security Considerations, Challenges, Trends, And Research Areas, Paul Scalise, Matthew Boeding, Hamid Sharif, Joseph Delloiacovo, John Reed

Department of Electrical and Computer Engineering: Faculty Publications

With the rapid rollout and growing adoption of 3GPP 5thGeneration (5G) cellular services, including in critical infrastructure sectors, it is important to review security mechanisms, risks, and potential vulnerabilities within this vital technology. Numerous security capabilities need to work together to ensure and maintain a sufficiently secure 5G environment that places user privacy and security at the forefront. Confidentiality, integrity, and availability are all pillars of a privacy and security framework that define major aspects of 5G operations. They are incorporated and considered in the design of the 5G standard by the 3rd Generation Partnership Project (3GPP) with the goal …

Wireless Power Transfer Using Electronic Textiles: A Comparative Review, Showrov Rahman, Marjan Al Haque, Mohammad Solaiman, Rashed Hasan Ratul, Istiak Ahmed, Shawana Tabassum, Izabela Ciesielska-Wrobel

Electrical Engineering Faculty Publications and Presentations

Wireless power transfer (WPT) has already been established as a popular technology in multiple areas such as electric vehicle charging, smartphone charging, or powering bio-medical implants. In recent years, wireless power transfer in electronic textiles (e-textiles) or smart textiles has seen rapid growth with the advancement of textile materials and flexible electronic components. Although many reviews and surveys on WPT can be found in the literature for other popular fields, this is not the case for the application of WPT in e-textiles. To address this issue, a comparative review of previous literature on WPT in e-textiles is presented in this …

A Review Of Proton Exchange Membrane Degradation Pathways, Mechanisms, And Mitigation Strategies In A Fuel Cell, Dharmjeet Madhav, Junru Wang, Rajesh Keloth, Jorben Mus, Frank Buysschaert, Veerle Vandeginste

Department of Chemical and Biomolecular Engineering: Faculty Publications

Proton exchange membrane fuel cells (PEMFCs) have the potential to tackle major challenges associated with fossil fuel-sourced energy consumption. Nafion, a perfluorosulfonic acid (PFSA) membrane that has high proton conductivity and good chemical stability, is a standard proton exchange membrane (PEM) used in PEMFCs. However, PEM degradation is one of the significant issues in the long-term operation of PEMFCs. Membrane degradation can lead to a decrease in the performance and the lifespan of PEMFCs. The membrane can degrade through chemical, mechanical, and thermal pathways. This paper reviews the different causes of all three routes of PFSA degradation, underlying mechanisms, their …