Engineering Commons^™

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

Transport Of Nutrients By Overland Flow On Sites Containing Beef Cattle Manure, John E. Gilley, Ryan P. Mcgehee, Kenneth M. Wacha

Department of Agricultural and Biological Systems Engineering: Faculty Publications

In an inductive metastudy, we investigated the effects of varying rates of overland sheet flow on the transport of phosphorus (P) and nitrogen (N) from sites containing beef cattle manure. The analyzed data were collected during previously reported field rainfall simulation investigations conducted on cropland sites and a beef cattle feedlot in the US state of Nebraska. During the experiments, inflow was incrementally added to the top of the experimental plots to simulate runoff rates occurring at greater downslope distances. Runoff rates on the experimental plots ranged from 2.9 to 22.9 Lmin⁻¹, and the maximum equivalent downslope distances …

Crop2cloud Platform: Real-Time Data Integration For Agricultural Water Monitoring, Bryan Nsoh, Abia Katimbo, Kendall Dejonge, Wei-Zhen Liang, Hongzhi N. Guo, Yufeng Ge, Derek M. Heeren, Yeyin Shi, Xin Qiao, Daran R. Rudnick, Hope Njuki Nakabuye, Birru Girma, Isa Kabenge, Joshua Wanyama

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Efficient water management is vital for sustainable agriculture, yet integrating real-time data for precise irrigation remains a challenge. This study designed the Crop2Cloud (C2C) platform, a system that leverages advanced sensors using Internet of Things (IoT), edge and cloud computing techniques, and computed Water Stress Indices (WSIs) and machine learning models (i.e., fuzzy logic), to provide scalable and real-time irrigation decisions. The C2C platform aggregates several data including Volumetric Water Content (VWC) from TDR sensors (Acclima Inc., US) installed at four multiple depths, canopy temperatures (Tc) measured by Infrared Radiometers (IRTs) (Apogee Instruments, US), as well as weather information and …

Behavioral Insights Impacting Preweaning Mortality, Md Towfiqur Rahman, G. A. Rohrer, S. R. Sharma, Y. Shi, S. M. Leonard, Tami M. Brown-Bandl

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Conclusions

This study investigated the average time spent on posture behaviors (lying, kneeling, sitting, standing) of sows by analyzing the effects of time segments, farrowing crate types, parity, heat lamp configurations, and mortality groups. Sow posture behaviors were significantly influenced by mortality, parity, crate type, heat lamps, and day category. High mortality sows spent less time lying and more time standing events. Parity 1, 2, 3 sows were more active, spending more time kneeling in transitions, lying, and sitting events. Sows in TSL crate had longer lateral right lying and standing events, while ESCSL crates sows had longer sitting events. …

Firelog: An Open-Source, Low-Cost System For Temperature Logging During Wildland Fires With High Spatial And Temporal Resolution, Nipuna Chamara, Yufeng Ge, Sabrina E. Russo

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Measuring flame, air, and soil temperatures during wildland fires, including wildfires and controlled burns in land management contexts, is crucial for research and applications in fire ecology, safety, and management in a wide array of ecosystems, from grasslands to forests. However, open-source and commercial systems are needed for measuring and logging flame and air temperatures that are user-friendly, economical, modular, and customizable. This paper details the design, development, and validation of the FireLog system. Laboratory validation experiments demonstrated high measurement accuracy, with a minimum coefficient of determination (R2) of 0.98 and the highest observed root mean square error (RMSE) of …

Highly Sensitive Diffractive Optical Structures For Detection Of Volatile Organic Compounds, Faolan Radford Mcgovern

Doctoral

From aerospace to agriculture, sensors play a fundamental role in many aspects of modern life. Sensors form an integral part of the complex systems and devices required for the continued functioning and development of services and industries across society. The use of sensors is paramount in areas affecting human health, one such area being the monitoring of indoor air quality, in particular the detection of volatile organic compounds (VOCs). Human contact with VOCs has been associated with many health complications, including skin and eye irritation, cardiovascular damage, and cancers. Optical, electrical, gravimetric, and chemical sensors have been developed for VOC …

Cover Crops Can Reduce Greenhouse Gas Emissions From No-Till Maize In Southern Brazil: Insights From A Long-Term Field Experiment, Guilherme Rosa Da Silva, Adam J. Liska, Cimélio Bayer

Adam Liska Papers

Brazil is one of the countries that has the most agricultural area under no-till (NT) management. This research study aims to evaluate life-cycle greenhouse gas (GHG) emissions from maize (M) grain production in agroecosystems that used different cover crops under NT management in southern Brazil. The data for this study were from a long-term 41-year field experiment in southern Brazil. The long-term experiment evaluated the effects of fallow (F) and cover crops (oat (O), vetch (V), cowpea (B), pigeon pea (P), and lablab (L)) on nitrous oxide and methane emissions and soil carbon (C) sequestration in maize agroecosystems. Five cropping …

Inactivation Of Zika Virus With Hydroxypropyl-Beta-Cyclodextrin, Cory R. Hewitt, Nicholas J. Wixon, Arthur Gallegos, You Zhou, Victor C. Huber, M. Scott. Killian

Nebraska Center for Biotechnology: Faculty and Staff Publications

Background/Objectives: Zika virus (ZIKV) infection is associated with life-threatening diseases in humans. To date, there are no available FDA-approved therapies or vaccines for the specific treatment or prevention of ZIKV infection. Variation in the ZIKV envelope protein (Env), along with its complex quaternary structure, presents challenges to synthetic approaches for developing an effective vaccine and broadly neutralizing antibodies (bnAbs). We hypothesized that beta-cyclodextrin (BCD) could be used to uniquely inactivate infectious ZIKV without disruption of Env.

Methods: ZIKV was propagated in Vero cells and admixed with BCD. The BCD-treated ZIKV was evaluated for infectivity using immunofluorescence and quantitative …

Microscopic Analysis Of Temperature Effects On Surface Colonization And Biofilm Morphology Of Salmonella Enterica, Zachariah Vice, You Zhou, Sapna Chitlapilly Dass, Rong Wang

Nebraska Center for Biotechnology: Faculty and Staff Publications

Salmonella enterica represents a diverse group of pathogens commonly associated with food contamination including red meat. Even though pre- and post-harvest cleaning and sanitization procedures are widely implemented at meat processing plants to mitigate the hazard, S. enterica cells may escape the process by colonizing, on contact, surfaces in the form of a biofilm that functions as an aggregated microbial community to facilitate mutual protection, antimicrobial resistance, proliferation and dissemination. Biofilm development is a complex process that can be affected by a variety of factors including environmental temperature. We developed methods using scanning electron microscopy and confocal microscopy with a …

Characterization Of Multispecies Microbial Communities At Beef And Pork Processing Plants And Their Impact On Pathogen Stress Tolerance, Rong Wang, Sapna Chitlapilly Dass, Vignesh Palanisamy, You Zhou, Tatum Katz, Joseph M. Bosilevac

Nebraska Center for Biotechnology: Faculty and Staff Publications

Escherichia coli O157:H7 and Salmonella enterica are major foodborne pathogens. Biofilm formation may potentially contribute to product contamination by these pathogens at meat processing facilities. Further, pathogen stress tolerance may vary significantly due to the interactions with the multispecies microbial community at meat plants, which may be affected by processing activity, animal species, and the local selective pressure caused by sanitization practices.

We characterized natural microorganisms collected from floor drains at various areas at three beef plants and two pork plants and analyzed their impact on pathogen sanitizer tolerance.

The pathogen strains were able to integrate efficiently into the multispecies …

Extending Revised Lewis Gear Root Bending Stress Model To Addendum Modified Cylindrical Gears, Edward E. Osakue

Faculty Publications

This paper presents a new revised Lewis gear bending root stress model for both standard profile and profile-shifted cylindrical gears. The three parameters that are used to extend the root bending stress capacity of standard profile gears to profile-shifted gears are the profile shift radius factor, the profile shift load factor, and the modified Lewis stress factor. These three parameters are functions of the profile shift factor. The new bending capacity model is used to estimate the bending stresses for some standard profile gears with nominal helix angles between 0o to 41.41o and compared with estimates of AGMA model. The …

A Bevel Gear Root Bending Stress Model, Edward E. Osakue, Rasoul Saneifard

Faculty Publications

A reversed Lewis root bending stress capacity model for bevel gears is presented. The model is developed from first principle based on the Tredgold’s approximation of a bevel gear. The approximation conceptually transforms a bevel gear into a spur gear. The load distribution of the bevel gear facewidth is assumed to be triangular so that the stress at the gear is constant over the facewidth. Six design cases of root bending stress computations from different references are done using the new and AGMA models. The stress estimates from the new and AGMA models were compared. The stress deviations associated with …

Investigations Of Conjugate Heat Transfer And Fluid Flow In Partitioned Porous Cavity Using Darcy-Forchheimer Model: Finite Element-Based Computations, Nasir Yasin, Shafee Ahmad, Muhammad Umair, Zahir Shah, Narcisa Vrinceanu, Ghadah Alhawael

Mathematics & Statistics Faculty Publications

The conjugate heat transfer and fluid flow has vast applications in thermal engineering, particularly for cooling in thermal devices, and automobile engines. This study investigates conjugate heat transfer in 2D enclosures, featuring thin solid fins attached to a porous bottom wall. The porous medium is considered isotropic and homogeneous by the Darcy-Forchheimer model, with fluid phases in local thermal equilibrium. The boundary conditions at the porous fluid interface ensure continuity of the velocities, stresses, temperature, and heat flux. The phenomenon is mathematically modelled by obtaining a set of partial differential equations. The finite element method (FEM) is used to perform …

Effect Of Manufacturing Process On Mechanical Properties Of Polyetheretherketone (Peek) Cranial Implants Produced By Single-Point Incremental Forming (Spif), Elizabeth M. Mamros, Ihab Ragai, Brian Young

Faculty Conference Papers and Presentations

Polyetheretherketone (PEEK) is one of the most commonly used materials for cranioplasty due to its biocompatibility, relatively high strength, and light weight. Cranial implants manufactured from PEEK sheets using the same manufacturing process, e.g., single point incremental forming (SPIF), will have differing part properties based on the selected polymer forming process. Three fabrication methods for PEEK sheets were investigated: extrusion, modified hot pressing, and injection molding. Material characterization specimens were extracted for tensile, impact, and differential scanning calorimetry (DSC) experiments. The PEEK sheets were also subjected to formability tests at room temperature using SPIF. Slight differences in ultimate tensile strength …

Investigation Using Single Point Incremental Forming (Spif) To Fabricate Patient-Specific, Titanium Orbital Floor Implants, Elizabeth M. Mamros, Lauren E. Blaha Md, Christian A. Kauffman Md

Faculty Conference Papers and Presentations

The floor of the human orbit is composed of thin bone that is prone to traumatic fracture. This leads to a loss of support for the eye, which can cause vision changes. Therefore, fractures may need surgical reconstruction using a thin, sheet-like implant. Titanium implants are available off-the-shelf in standard sizes, but fitting to each patient’s unique anatomy requires surgeons to cut, file, and bend these plates. This can be time-consuming and imprecise. To both save time and ensure a perfect fit for the patient, a custom plate can be created prior to surgery. This investigation focuses on single-point incremental …

Scalable Machine Learning Framework For Adaptive Irrigation Management Of Maize And Soybean In The U.S. Midwest, Precious N. Amori, Derek M. Heeren, Yeyin Shi, Eric Wilkening, Ivo Z. Goncalves, Guillermo R. Balboa, Daran R. Rudnick, Abia Katimbo, Randall S. Ritzema

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Conventional soil water balance (SWB) irrigation scheduling tools, such as FAO-56-based Spreadsheets and the Spatial Evapotranspiration Modeling Interface (SETMI), rely heavily on manual inputs and periodic field measurements, leading to delayed recommendations and missed opportunities to prevent crop stress. More critically, these tools lack the computational scalability and adaptability to leverage the high-frequency, high-volume datasets now available through modern sensing technologies. As precision irrigation increasingly depends on integrating spatially and temporally nuanced field information, there is a pressing need for decision-support systems that can process Big Data efficiently and respond in real-time. To overcome these limitations, we developed and validated …

The Influence Of The Digital Economy On The Ecological Environment And Its Sustainable Development, Xinpan Lyu, Jianhua Dai

ASEAN Journal on Science and Technology for Development

This study aims to examine the impact of the digital economy on ecological sustainability and its development in China from 2000 to 2022. The study focuses on the role of innovation in the digital sector, where the adoption of big data technologies is considered, with reference to sustainable development, from an environmental perspective. A dynamic threshold model and, in particular, the Iterated Generalized Least Squares (IGLS) technique is used to analyze the given data.The research reveals a significant link between adopting digital technologies and managing environmental sustainability efficiently. To investigate the interconnection between the digital economy and ecological goals, it …

Research On Data Organization Methods And Key Technologies For Product-Oriented Smart Steel Bar Processing Systems, Peijun Zhang, Lianxia Ma, Chunlei Zhang, Xinwu Zan

ASEAN Journal on Science and Technology for Development

This paper addresses the issues in the data organization logic of existing intelligent steel bar processing systems, which are centered on construction projects. It investigates product-oriented data organization methods and the key technologies of logical correspondence between steel bar product identification codes and physical entities. The paper analyzes the product-oriented data organization logic and presents the corresponding data organization architecture. It also examines the feature extraction of steel bar product information classification and coding, as well as the dynamic completeness of the coding rule system. The paper provides a construction method for steel bar product identification codes and designs partial …

Enhancing Traceability And Sustainability In Smallholder Oil Palm Plantations Through Gap Analysis And Machine Learning, Kursehi Falgenti, Yandra Arkeman, Khaswar Syamsu, Erliza Hambali

ASEAN Journal on Science and Technology for Development

The European Union Deforestation Regulation (EUDR) requires all products entering the EU market to comply with deforestation-free requirements by using a traceability system that tracks products back to their plantation of origin. However, ensuring traceability for fresh fruit bunches (FFB) supplied by independent smallholders (ISHs) presents challenges. These challenges arise from the segregation of internal and external FFB trucks at weighbridges, where only the FFB weight is recorded, without identifying its source. To address this, a new segregation system was introduced, based on the level of sustainability implementation in plantations. This study aimed to develop an FFB traceability system using …

Enhancing Walking Culture In Egyptian Cities As An Approach To Energy Harvesting, Kareem M. Ali

Mansoura Engineering Journal

It has become possible to generate clean energy based on the physical effort of individuals, whether during the use of sports equipment or by converting kinetic energy (walking steps) into electricity instead of it being wasted effort. The World Health Organization’s recommendation to walk for at least half an hour daily helps to enhance public health. Therefore, the research proposes dedicating pathways within cities built with energy-generating technology from pedestrian movement and organizing regular walking races to help produce more electrical energy. This would provide part of the urban environment’s electricity needs, reduce the carbon footprint, and enhance public health. …

Topographic Mapping Using Gps Functionality In The New Delta, Nasr M. Saba, Salem S. Saeh

Mansoura Engineering Journal

Topographic maps are essential for addressing geospatial challenges, offering precise, detailed information. Historically, they relied on analog surveying methods, which were labor-intensive, costly, and often inaccurate, involving outdated tools. This study evaluates the accuracy of topographic mapping techniques compared to traditional 1:50,000 scale maps for the New Delta in Egypt. The methodology uses a Global Positioning system post-processing kinematic GPS-PPK points in a 500m x 500m grid to create maps more efficiently in terms of time and cost. Elevation data was collected from 32 control points and two grids: a 500m x 500m GPS kinematic grid and a 25m x …

Enhance The Design Of Low-Cost Fast Charging Battery Systems For Electric Mobility Systems, Omar Matar, Abdalrahman S. Alneklawy, Yara M. El-Hawary, Ahmed M. Elbeshbeshy, Ali Shoman, Ahmed R. Alagmy, Ahmed Mashaly, Arwa G. Saheen, Sahar S. Kaddah, Basem M. Badr

Mansoura Engineering Journal

The need of electric mobility (E-Mobility) systems increases daily, where the E-Mobility systems contribute in decreasing gas emissions from transportation Electric motorcycles (E-Motorcycles) are one of the E-Mobility systems, which reduce the problems resulting from traditional fossil fuel exhausts. This paper discusses the design and development of low-cost battery systems for E-Motorcycles, where a fast charging system is simulated, analyzed, and deployed to charge a battery package that outputs 72V & 8A at rated performance. Research and analysis of different power converter topologies are performed with respect the cost and system performance. A battery tester circuit is designed and built …

Photocatalytic Production Of Hydrogen From Sodium Borohydride Using Tio2/Mwcnt, Ahmed S . Sewerky, Ibrahim Gar Al Alm Rashed, M.M. El-Halwany, Mohamed R. Elmarghany

Mansoura Engineering Journal

In this research, a novel photocatalyst composed of titanium dioxide TiO2 supported on multi-walled carbon nanotubes (MWCNTs) was synthesized using the sol-gel method to produce hydrogen H2 from the hydrolysis of sodium borohydride NaBH4. The TiO2/MWCNT composite’s photocatalytic activity was examined under ultraviolet (UV) light irradiation, with UV lamps used as the source. The experiments were repeated at different temperatures and varying catalyst doses to analyze their effects on H2 generation. The synthesized photocatalyst was characterized through structural, morphological, and compositional studies using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and energy-dispersive X-ray spectroscopy (EDX). The findings reveal that …

Assessment Of The Changes In Water Reserves In Egypt Using The Time Series Grace Data, Basma Fawzi, Mahmoud Salah, Mahmoud El-Mewafi

Mansoura Engineering Journal

The Gravity Recovery and Climate Experiments (GRACE) is considered one of the most important satellites used to identify the Terrestrial Water Storage Anomalies (TWSA) in all river basins around the world since the launch of this satellite from 2002 until now. In this research, we depend on the data obtained from GRACE in the Nile River Basin region(NRB) in Egypt during the period from 2018 to 2024, in addition to relying on the factors that affect the analysis of data related to the groundwater reserves, which are temperatures and rainfall, in order to know the sudden changes that occur in …

Development Of An Examination Hall Malpractice Detection System Using Pose Estimation And Machine Learning, Etinosa Noma-Osaghae, Udoumoh John David, Joshua Sokowonci Mommoh, Olusogo Julius Adetunji, Oyedeji Ayo Isaac

Mansoura Engineering Journal

Examination malpractice remains a critical concern, driving the need for robust and efficient detection systems to uphold academic integrity. This research introduces a novel approach to examination malpractice detection by leveraging pose estimation and machine learning to address key gaps in existing solutions. Current systems often rely exclusively on either pose estimation or object detection, failing to exploit the synergistic potential of combining these techniques. This study bridges this gap by integrating deep learning models with complementary capabilities to enhance detection accuracy, robustness, and coverage. The proposed methodology utilises OpenPose for precise human pose estimation, enabling the detection of body …

Effect Of Raw Materials And Loop Length On Thermal Comfort Properties Of Pique Fleece Fabrics, Aya E. Elemam, Abd Elmonem Fouda, Ahmed S. Eldeeb, Rehab Abd Elkhalek

Mansoura Engineering Journal

Technological developments of knitting machines made it possible to produce evolved fabric structures to obtain various properties that suit consumer needs. Pique fleece is a variation of the special popular fleece knitted structure with aim of combining the features of pique and fleece structures. The aim of this research was to study the effect of yarns material type and loop length on thermal comfort properties of un-napped pique fleece fabrics that used as apparel textiles during transitional seasons. Two types of fleece yarn (100% cotton and 65% cotton/ 35%polyester) and three types of face and binding yarns (cotton, polyester and …

Exploring The Role Of Cinema In Architectural Perception Of Biophilic Design., Walaa Abdou Abd Elrazik, Mona Awad Abu El-Enein, Mahmoud M. Saafan

Mansoura Engineering Journal

With rapid urbanization transforming the built environment, biophilic architecture offers a sustainable approach that integrates natural elements to promote well-being and ecological balance. As a powerful storytelling medium, cinema shapes architectural perceptions by depicting both the presence and absence of biophilic principles in future urban landscapes. This study investigates how cinematic depictions of biophilic architecture influence audience understanding and appreciation. Using film content analysis, case studies, and surveys of architectural professionals, this research examines selected film scenes, evaluating the emotional and perceptual impact of biophilic versus non-biophilic environments. Findings indicate that films effectively highlight key biophilic features such as natural …

Behaviour Of The Internal Rc Slab-Column Connection With Both Correct And Incorrect Reinforcing Details, Momen M. Ali, Abdelrhman B. Harraz, Walid H. Shalaby

Mansoura Engineering Journal

Flat slabs without beams are common slab systems due to their simple formwork and ability to accommodate reduced story heights. Reinforced concrete slab-column connections are critical, especially internal connections with the final roof slabs. This research aims to compare the correct and incorrect reinforcing details of internal slabcolumn connections and examine how they affect the connections' behaviour. One of the most common problems in reinforced concrete structures is incorrect reinforcing details of slab-column connections, which is caused by insufficient experience and a lack of quality control. For this reason, numerical research is carried out. FE models for eighteen (18) specimens …