Engineering Commons^™

Influence Of Synthesis Conditions On The Physicochemical And Electrocatalytic Properties Of Non-Stoichiometric Ba2sr2la2ti4o12 Perovskites, Ofeliya Kostadinova, Iliyan Popov, Simeon M. Stankov, Hristo Kolev, Tamara Petkov

Karbala International Journal of Modern Science

Present work studies the influence of the pretreatment milling media (deionized water (BLTOS-H) and isopropanol (BLTOS-i)) on the surface characteristics, structure, chemical composition and catalytic activity of non-stoichiometric Ba2Sr2La2Ti4O12 perovskites. The IR spectroscopy and XRD analyses shows a difference in the structure and phase composition of the two materials. X-ray photoelectron spectroscopy detects a Ba2+- and La3+-enriched and Sr2+-depleted surface. The BLTOS-i sample appears to exhibit higher specific surface area (SSA) and pore volume in comparison to BLTOS-H. The electrochemical tests showed that BLTOS-H sample have similar behavior to platinum at current densi-ties up to 10 mA cm-2, while BLTOS-i …

Enhancing Sustainable Process Designs Through Strategic Material Utilization And Waste Minimization Approaches, John David Chea

Theses and Dissertations

Sustainability is a growing concern as resources are continually depleted for various applications without adequate renewal plans. The resulting impacts on the ecosystem, health, and resource circularity are often overlooked. This research analyzes improvement opportunities at each major stage in a product's life cycle. Raw material acquisition, product synthesis, process waste management, and the fate of a material in the end-of-life phases were examined. The viability of utilizing renewable resources has been demonstrated in this work by extracting bio-based chemicals from underutilized renewable resources at a commercial scale and transforming the extracted resources into polymeric materials. The optimization of raw …

Using Dielectric Scatters To Selectively Excite Embedded Eigenstates In Cavity Resonators, Olugbenga Joshua Gbidi

Theses and Dissertations

Bound states in the continuum (BICs) are waves that remain in the continuous spectrum of radiating waves that carry energy, however, still localized within the spectrum. BICs, also embedded eigenmodes, exhibit high quality factors that have been observed in optical and acoustic waveguides, photonic structures, and other material systems. Presently, there are limited means to select these BICs in terms of the quality factor and their excitation. In this work, we show that a different type of BIC, Quasi-BICs (Q-BICs), in open resonators can have their quality attuned by introducing embedded scatters. Using microwave cavities and dielectric scatters as an …

An Intelligent Prairie Dog Optimization (Ipdo) And Deep Auto-Neural Network (Dann) Based Ids For Wsn Security, D Hemanand, P Mohankumar, N Manoj Kumar, S Vaitheki, P Saranya

Iraqi Journal for Computer Science and Mathematics

Wireless sensor networks (WSNs) are targets of intrusion, which seeks to make these networks lesscapable of performing their duties or even completely eradicate them. The Intrusion Detection System (IDS) is highly important for WSN, sinceit aids in the identification and detection of harmful attacks that impair the network's regular functionality. In order to strengthen the security of WSN, several machine learning and deep learning approaches are employed in thetraditional works. However, its main drawbacks are computational burden, system complexity, poornetwork performance outcomes, and high falsealarms. Therefore, the goal of this study is to develop an intelligent IDS framework for significantly …

Greywater Treatment Using Integrated Sand Filtration With Ultrafiltration For Reuse, Aya El-Wattar

Theses and Dissertations

Membrane flux was observed and the two membrane sizes that achieved stable flux were chosen to be used in the later stages of the study. The chosen membranes were of 300 kDa and 400 kDa Molecular Weight Cutoff (MWCO).

The third phase of the study involved running the full system on synthetic greywater then on real greywater. The parameters investigated were COD, TSS, Turbidity and BOD₅. Total COD removal after sand filtration, 300kDa UF and 400 kDa UF was 65, 66 and 73.4% respectively. Total TSS removal after sand filtration, 300kDa UF and 400 kDa UF was 93.1, …

Probing The Influence Of Surface Chemical Functionalization On Graphene Nanoplatelets-Epoxy Interfacial Shear Strength Using Molecular Dynamics, Hashim Al Mahmud, Sagar Patil, Matthew Radue, Gregory Odegard

Michigan Tech Publications, Part 1

In this work, a characterization study of the interfacial interaction between different types of graphene nanoplatelets and an epoxy matrix is computationally performed. To quantify the discrete mutual graphene–epoxy “interfacial interaction energy” (IIE) within the nanocomposite, molecular dynamics simulations with a reactive force field are performed on a localized model of the suggested nanocomposite. Pull-out molecular dynamics simulations are also performed to predict the interfacial shear strength between the two constituents. The results indicate a significant increase in interfacial adhesion of functionalized nanoplatelets with the hosting epoxy matrix relative to virgin graphene nanoplatelets. The obtained results also demonstrate a dramatic …

Hitting Two Birds With One Emissions-Based Maintenance Stone – A Literature Review On Improving Overall Productivity Of Underground Diesel Fleets, Johannes Deon Swanepoel, Jennifer Hines, Vinod Gopaldasani, Brian Davies

Journal of Sustainable Mining

Many industries regard occupational health and safety as a core value and an integral component to maintaining high productivity, and, thus, shareholder value. Diesel fleets’ engine maintenance is instrumental in ensuring affected workplaces meet production requirements while controlling health and safety hazards that these fleets introduce to the workplace. This systematic literature review focuses on production and occupational health and safety advantages associated with the implementation and adherence to an emissions-based maintenance (EBM) program. The literature review was conducted across eight databases relevant to workplace health and engineering. To be eligible for inclusion, the publication had to contain maintenance interventions …

Research On Vibration-Based Early Diagnostic System For Excavator Motor Bearing Using 1-D Cnn, Dorjsuren Yandagsuren, Tatsuki Kurauchi, Hisatoshi Toriya, Hajime Ikeda, Tsuyoshi Adachi, Youhei Kawamura

Journal of Sustainable Mining

In mining, super-large machines such as rope excavators are used to perform the main mining operations. A rope excavator is equipped with motors that drive mechanisms. Motors are easily damaged as a result of harsh mining conditions. Bearings are important parts in a motor; bearing failure accounts for approximately half of all motor failures. Failure reduces work efficiency and increases maintenance costs. In practice, reactive, preventive, and predictive maintenance are used to minimize failures. Predictive maintenance can prevent failures and is more effective than other maintenance. For effective predictive maintenance, a good diagnosis is required to accurately determine motor-bearing health. …

Perspectives On Design Considerations Inspired By Security And Quantum Technology In Cyberphysical Systems For Process Engineering, Helen Durand, Jihan Abou Halloun, Kip Nieman, Keshav Kasturi Rangan

Chemical Engineering and Materials Science Faculty Research Publications

Advances in computer science have been a driving force for change in process systems engineering for decades. Faster computers, expanded computing resources, simulation software, and improved optimization algorithms have all changed chemical engineers’ abilities to predict, control, and optimize process systems. Two newer areas relevant to computer science that are impacting process systems engineering are cybersecurity and quantum computing. This work reviews some of our group’s recent work in control-theoretic approaches to control system cybersecurity and touches upon the use of quantum computers, with perspectives on the relationships between process design and control when cybersecurity and quantum technologies are of …

New Types Of Topologies And Neutrosophic Topologies, Florentin Smarandache

Neutrosophic Systems with Applications

In this paper, we recall the six new types of topologies that we introduced in the last years (2019-2022), such as: Refined Neutrosophic Topology, Refined Neutrosophic Crisp Topology, NeutroTopology, AntiTopology, SuperHyperTopology, and Neutrosophic SuperHyperTopology.

Dissecting Succulence: Crassulacean Acid Metabolism And Hydraulic Capacitance Are Independent Adaptations In Clusia Leaves, Alistair Leverett, Samantha Hartzell, Klaus Winter, Milton Garcia, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

Succulence is found across the world as an adaptation to water-limited niches. The fleshy organs of succulent plants develop via enlarged photosynthetic chlorenchyma and/or achlorophyllous water storage hydrenchyma cells. The precise mechanism by which anatomical traits contribute to drought tolerance is unclear, as the effect of succulence is multifaceted. Large cells are believed to provide space for nocturnal storage of malic acid fixed by crassulacean acid metabolism (CAM), whilst also buffering water potentials by elevating hydraulic capacitance (CFT). The effect of CAM and elevated CFT on growth and water conservation have not been compared, despite the assumption that these adaptations …

Integration Of Real-Time Semantic Building Map Updating With Adaptive Monte Carlo Localization (Amcl) For Robust Indoor Mobile Robot Localization, Matthew Peavy, Pileun Kim, Hafiz Oyediran, Kyungki Kim

Durham School of Architectural Engineering and Construction: Faculty Publications

A robot can accurately localize itself and navigate in an indoor environment based on information about the operating environment, often called a world or a map. While typical maps describe structural layouts of buildings, the accuracy of localization is significantly affected by nonstructural building elements and common items, such as doors, appliances, and furniture. This study enhances the robustness and accuracy of indoor robot localization by dynamically updating the semantic building map with non-structural elements detected by sensors. We propose modified Adaptive Monte Carlo Localization (AMCL), integrating object recognition and map updating into the traditional probabilistic localization. With the proposed …

Poly(Pro-Curcumin) Materials Exhibit Dual Release Rates And Prolonged Antioxidant Activity As Thin Films And Self-Assembled Particles, Ruiwen Chen, Jessica L. Funnell, Geraldine B. Quinones, Marvin Bentley, Jeffrey R. Capadona, Ryan J. Gilbert, Edmund F. Palermo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Curcumin is a natural polyphenol that exhibits remarkable antioxidant and anti-inflammatory activities; however, its clinical application is limited in part by its physiological instability. Here, we report the synthesis of curcumin-derived polyesters that release curcumin upon hydrolytic degradation to improve curcumin stability and solubility in physiological conditions. Curcumin was incorporated in the polymer backbone by a one-pot condensation polymerization in the presence of sebacoyl chloride and polyethylene glycol (PEG, Mn = 1 kDa). The thermal and mechanical properties, surface wettability, self-assembly behavior, and drug-release kinetics all depend sensitively on the mole percentage of curcumin incorporated in these statistical copolymers. Curcumin …

Soil Water Sensors For Irrigation Scheduling In The United States: A Systematic Review Of Literature, Sumon Datta, Saleh Taghvaeian

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Soil water sensors (SWS) have been widely researched and practiced for irrigation scheduling. Due to popularity of this approach, there is a need for frequent reviews of the SWS literature to keep the researchers, extension professionals, and end-users updated and to help with defining and modifying future directions. In addition, existing literature reviews do not systematically report and summarize the results of previous studies. To address this gap, a systematic review was carried out to identify and analyze related literature published in the United States in the past two decades. Two focus areas were SWS accuracy assessment and SWS application …

Using Innovative Copper‑Loaded Activated Alumina (Cu/Aa) As The Catalyst For Catalytic Wet Peroxidation (Cwpo) Of Catechol, Vijayalakshmi Gosu, Archana Dhakar, Tian C. Zhang, Rao Y. Surampalli, Verraboina Ubbaramaiah

Department of Civil and Environmental Engineering: Faculty Publications

In this study, copper-loaded activated alumina (Cu/AA) was synthesized and used for the CWPO of catechol (a representative refractory organic pollutant). Various characterization techniques were deployed to characterize the catalysts, e.g., activated alumina (AA), as well as pristine and spent 1% Cu/AA. The innovative 1% Cu/AA catalyst exhibited good thermal stability up to 1173 K with a marginal weight loss of 13%. The Cu species were well dispersed on the activated alumina framework with no significant cluster formation. Typically, the average copper particle size of 5 nm was dispersed on the AA framework. Catechol removal was observed to be 92% …

New Types Of Topologies And Neutrosophic Topologies, Florentin Smarandache

Neutrosophic Systems with Applications

In this paper, we recall the six new types of topologies that we introduced in the last years (2019-2022), such as: Refined Neutrosophic Topology, Refined Neutrosophic Crisp Topology, NeutroTopology, AntiTopology, SuperHyperTopology, and Neutrosophic SuperHyperTopology.

Figure Data From "Electrochemical Identification Of Metal Chlorides In Eutectic Licl-Kcl Without Prior Knowledge Of Analyte Identities", Tyler Williams, Jason Torrie, Mark Schvaneveldt, Ranon Fuller, Greg Chipman, Devin Rappleye

ScholarsArchive Data

This is the data associated with figures found in a publication by the authors with the name of "Electrochemical Identification of Metal Chlorides in Eutectic LiCl-KCl Without Prior Knowledge of Analyte Identities".

Some of the data saved here is raw data collected by an Autolab potentiostat, while other data was derived from this raw data. Please reach out to the corresponding author for further questions.

Evaluation Of Artificial Intelligence Algorithms With Sensor Data Assimilation In Estimating Crop Evapotranspiration And Crop Water Stress Index For Irrigation Water Management, Abia Katimbo, Daran Rudnick, Jingwen Zhang, Yufeng Ge, Kendall C. Dejonge, Trenton E. Franz, Yeyin Shi, Wei‑Zhen Liang, Xin Qiao, Derek M. Heeren, Isa Kabenge, Hope Njuki Nakabuye, Jiaming Duan

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Irrigation water management using automated irrigation decision support system (IDSS) as a smart irrigation scheduling tool can improve water use efficiency and crop production, especially under circumstances of limited water supply. The current study evaluated the performance of different artificial intelligence (AI) algorithms and their ensembles in forecasting Crop Evapotranspiration (ET_c) and Crop Water Stress Index (CWSI) against calculated single crop coefficient FAO56 ET_c and Jackson’s theoretical CWSI, respectively. Soil moisture, canopy temperatures (T_c) and Normalized Difference Vegetation Index (NDVI) were all measured from irrigated and non-irrigated maize plots in West Central Nebraska during 2020 …

Nafion Modified Titanium Nitride Ph Sensor For Future Biomedical Applications, Shimrith Paul Shylendra, Magdalena Wajrak, Kamal Alameh, James Jin Kang

Research outputs 2022 to 2026

pH sensors are increasingly being utilized in the biomedical field and have been implicated in health applications that aim to improve the monitoring and treatment of patients. In this work, a previously developed Titanium Nitride (TiN) solid-state pH sensor is further enhanced, with the potential to be used for pH regulation inside the human body and for other biomedical, industrial, and environmental applications. One of the main limitations of existing solid-state pH sensors is their reduced performance in high redox mediums. The potential shift E⁰ value of the previously developed TiN pH electrode in the presence of oxidizing or …

Deep Transfer Learning For Approximate Model Predictive Control, Samuel Arce Munoz, Junho Park, Cristina M. Stewart, Adam M. Martin, John Hedengren

Faculty Publications

Transfer learning is a machine learning technique that takes a pre-trained model that has already been trained on a related task, and adapts it for use on a new, related task. This is particularly useful in the context of model predictive control (MPC), where deep transfer learning is used to improve the training of the MPC by leveraging the knowledge gained from related controllers. One way in which transfer learning is applied in the context of MPC is by using a pre-trained deep learning model of the MPC, and then fine-tuning the controller training for a new process automation task. …

"Semiclassical Mastermind", Curtis Bair, Alexa S. Cunningham, Joshua Qualls

Posters-at-the-Capitol

Games are often used in the classroom to teach mathematical and physical concepts. Yet the available activities used to introduce quantum mechanics are often overwhelming even to upper-level students. Further, the "games" in question range in focus and complexity from superficial introductions to games where quantum strategies result in decidedly nonclassical advantages, making it nearly impossible for people interested in quantum mechanics to have a simple introduction to the topic. In this talk, we introduce a straightforward and newly developed "Semiclassical Mastermind" based on the original version of mastermind but replace the colored pegs with 6 possible qubits (x+, x-, …

Diethanolamine Modified Perovskite-Substrate Interface For Realizing Efficient Esl-Free Pscs, Sajid Sajid, Salem Alzahmi, Dong Wei, Imen Ben Salem, Jongee Park, Ihab M Obaidat

All Works

Simplifying device layout, particularly avoiding the complex fabrication steps and multiple high-temperature treatment requirements for electron-selective layers (ESLs) have made ESL-free perovskite solar cells (PSCs) attractive. However, the poor perovskite/substrate interface and inadequate quality of solution-processed perovskite thin films induce inefficient interfacial-charge extraction, limiting the power conversion efficiency (PCEs) of ESL-free PSCs. A highly compact and homogenous perovskite thin film with large grains was formed here by inserting an interfacial monolayer of diethanolamine (DEA) molecules between the perovskite and ITO substrate. In addition, the DEA created a favorable dipole layer at the interface of perovskite and ITO substrate by molecular …

Concurrent Validity Study Of 3d Motion Measurement Systems: Vicon Vs. Xsens, Pias Das

Masters Theses

As the Inertial Measurement System (IMS) being a potential alternative to the Optoelectronic Measurement System (OMS) in terms of capturing comprehensive and objective musculoskeletal data, they need to be verified concurrently with the OMS before we start using the IMS in clinical motion analysis. To achieve this, a concurrent validity experiment of the Xsens system (IMS) in comparison to the Vicon system (OMS) was conducted for both upper and lower extremity movements during walk, squat, and lateral lunge (left and right) to quantify the degree of similarity of kinematic data between the two systems by direct comparison, root mean square …

Engineering At-Home Dilution And Filtration Methods To Enable Paper-Based Colorimetric Biosensing In Human Blood With Cell-Free Protein Synthesis, Tyler J. Free, Ryan W. Tucker, Katelyn M. Simonson, Sydney A. Smith, Caleb M. Lindgren, William G. Pitt, Bradley C. Bundy

Faculty Publications

Diagnostic blood tests can guide the administration of healthcare to save and improve lives. Most clinical biosensing blood tests require a trained technician and specialized equipment to process samples and interpret results, which greatly limits test accessibility. Colorimetric paper-based diagnostics have an equipment-free readout, but raw blood obscures a colorimetric response which has motivated diverse efforts to develop blood sample processing techniques. This work uses inexpensive readily-available materials to engineer user-friendly dilution and filtration methods for blood sample collection and processing to enable a proof-of-concept colorimetric biosensor that is responsive to glutamine in 50 µL blood drop samples in less …

Disaster Area Lora Mesh Communications, Joel Bulkley

Posters-at-the-Capitol

In the aftermath of the December 2021 tornado disaster that swept through Western Kentucky causing 57 fatalities, 500+ critical injuries, and millions of dollars’ worth in damages, one of the first things that became apparent was the lack of communications and underlying power infrastructure. The goal of this project is to create a highly resilient LoRa mesh communications network utilizing low power, low cost, and easy to deploy radios to enable first responders in a disaster area to communicate their location and send critical information in a situation where traditional communications infrastructure has been destroyed or is otherwise unavailable. Through …

Analyzing The User'ssentiments Of Chatgpt Using Twitter Data, Tarık Talan, Adem Korkmaz, Cemal Aktürk

Iraqi Journal for Computer Science and Mathematics

ChatGPT, an advanced language model based on artificial intelligence developed by the OpenAI, was released to internet users on November 30, 2022, and has attracted a great deal of attention. The feelings and thoughts of those who first experienced ChatGPT are valuable feedback for evaluating the success and positive and negative aspects of this technology. In this study, sentiment analysis of ChatGPT-themed tweets onTwitter was conducted to comprehensively evaluate the feelings and thoughts of users during the first two months following the announcement of ChatGPT. Approximately 788.000 English tweets were analyzed using the AFINN, Bing, and NRC sentiment dictionaries. The …

Gesture-Based American Sign Language (Asl) Translation System, Kayleigh Moore, Stefano Pecile, Mahdi Yazdanpour

Posters-at-the-Capitol

According to the World Health Organization (WHO), over 5% of the world's population experiences severe hearing loss. Approximately 9 million people in the U.S. are either functionally deaf or have mild-to-severe hearing loss. In this research, we designed and implemented a translation interface which turns American Sign Language (ASL) gestures captured from a pair of soft robotic gloves into text and speech instantaneously.

We used a combination of flex sensors, tactile sensors, and accelerometers to recognize hand gestures and to record hand and fingers positions, movements, and orientations. The digitized captured gestures were then sent to our proposed translation interface …

Adapting A Narrative Curriculum To A Remote Format In The Context Of Socially Distanced Middle School Education Resulting From Covid-19, Jeremiah Pina, Rebecca Mazur, Glenn Ellis, Al Rudnitsky, Beth Mcginnis-Cavanaugh, Sonia Ellis, Isabel Huff, Crystal Ford

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

This paper describes the development of two versions of an NGSS-aligned principles of engineering design unit for use in middle schools. By employing a narrative framework that can help students to connect more deeply with the human contexts and consequences of the engineering design process, our goal was to enhance students’ cognitive and emotional engagement in the learning of engineering design concepts. We first detail the design of an initial version of the unit, titled The Survivorama, which used narrative to enrich a primarily traditional, in-person teaching approach. We then describe the adapted version of the unit, titled the Molasses …

A Dtn-Based Spatio-Temporal Routing Using Location Prediction Model In Underground Mines, Abhay Goyal, Sanjay Kumar Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Situational awareness during any disaster depends on effective communication and location tracking. In the case of underground mines, where the communication methods are mostly central, the whole communication channel would be rendered unusable during a disaster. To this end, we propose the use of Delay Tolerant Networks (DTN) to allow the miners to function in a distributed manner and help in locating the injured miners and routing distress messages. Due to the unavailability of GPS signals, the pillar numbers are used to identify the locations of the miners. For spatio-temporal routing of messages, we formulate a new scheme using Contact …

Intro To Primary Sources, Katie Strand, Jen Kirk, Dan Davis, Lara Petersen

All E-Learning Resources

Attention: As of 2026 updated versions of this item will no longer be available on Digital Commons. Please contact [email protected] for more information.

The Identifying Primary Sources tutorial teaches students how they find, evaluate, and use primary sources in their own research. Along the way, they'll learn about some great places to start researching when looking for primary sources.