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Articles 24631 - 24660 of 196361

Full-Text Articles in Engineering

Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali Oct 2023

Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali

LSU Master's Theses

3D point cloud segmentation segments the 3D point cloud data into different regions/instances depending on their features that have numerous applications in robotics, autonomous driving, digital twinning, augmented reality, etc. The majority of the existing point cloud segmentation methods depend on class labels to identify 3D objects in the surroundings. Our work focuses on segmenting point clouds into different regions/instances in an object-agnostic manner for any number of objects in the environment. Given the point cloud, our method can segment the entire scene into multiple instances without depending on object shape and size. We leverage the power of the self-attention …

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Generation Of Dna Oligomers With Similar Chemical Kinetics Via In-Silico Optimization, Michael Tobiason, Bernard Yurke, William L. Hughes Oct 2023

Generation Of Dna Oligomers With Similar Chemical Kinetics Via In-Silico Optimization, Michael Tobiason, Bernard Yurke, William L. Hughes

Electrical and Computer Engineering Faculty Publications and Presentations

Networks of interacting DNA oligomers are useful for applications such as biomarker detection, targeted drug delivery, information storage, and photonic information processing. However, differences in the chemical kinetics of hybridization reactions, referred to as kinetic dispersion, can be problematic for some applications. Here, it is found that limiting unnecessary stretches of Watson-Crick base pairing, referred to as unnecessary duplexes, can yield exceptionally low kinetic dispersions. Hybridization kinetics can be affected by unnecessary intra-oligomer duplexes containing only 2 base-pairs, and such duplexes explain up to 94% of previously reported kinetic dispersion. As a general design rule, it is recommended that unnecessary …

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Depth And Frequency Dependence Of Geoacoustic Properties On The New England Mud Patch From Reflection Coefficient Inversion, Jiang Yong-Min, Charles W. Holland, Stan E. Dosso, Jan Dettmer Oct 2023

Depth And Frequency Dependence Of Geoacoustic Properties On The New England Mud Patch From Reflection Coefficient Inversion, Jiang Yong-Min, Charles W. Holland, Stan E. Dosso, Jan Dettmer

Electrical and Computer Engineering Faculty Publications and Presentations

Muddy sediments cover significant portions of continental shelves, but their physical properties remain poorly understood compared to sandy sediments. This paper presents a generally applicable model for sediment-column structure and variability on the New England Mud Patch (NEMP), based on trans-dimensional Bayesian inversion of wide-angle, broadband reflection-coefficient data in this work and in two previously published reflection-coefficient inversions at different sites on the NEMP. The data considered here include higher frequencies and larger bandwidth and cover lower reflection grazing angles than the previous studies, hence, resulting in geoacoustic profiles with significantly better structural resolution and smaller uncertainties. The general sediment-column …

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The Cr(Iii) Exchange Mechanism Of Macroporous Resins: The Effect Of Functionality And Chemical Matrix, And The Statistical Verification Of Ion Exchange Data, Khizar Hussain Shah, Noor S. Shah, Gul Afshan Khan, Sadaf Sarfraz, Jibran Iqbal, Aneeqa Batool, Ahmad Jwuiyad, Shabnam Shahida, Changseok Han, Monika Wawrzkiewicz Oct 2023

The Cr(Iii) Exchange Mechanism Of Macroporous Resins: The Effect Of Functionality And Chemical Matrix, And The Statistical Verification Of Ion Exchange Data, Khizar Hussain Shah, Noor S. Shah, Gul Afshan Khan, Sadaf Sarfraz, Jibran Iqbal, Aneeqa Batool, Ahmad Jwuiyad, Shabnam Shahida, Changseok Han, Monika Wawrzkiewicz

All Works

This study focuses on investigating and comparing the influence of the surface functional groups and chemical matrices of macroporous resin on the Cr(III) exchange mechanism. The results discussed herein indicate that sulfonic resin removed Cr(III) ions with faster kinetics than carboxylic resin. Equilibrium was established within 15 and 7 min for the carboxylic and sulfonic resins, respectively, with a 99.5% removal efficiency at 333 K. The Langmuir exchange capacity was observed to be higher for the sulfonic resin (1.5 mmol∙g−1) than the carboxylic resin (0.80 mmol∙g−1) at 333 K. The adsorption isotherms obtained for the carboxylic and sulfonic resins were …

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A Fairness Assessment Of Mobility-Based Covid-19 Case Prediction Models, Abdolmajid Erfani, Vanessa Frias-Martinez Oct 2023

A Fairness Assessment Of Mobility-Based Covid-19 Case Prediction Models, Abdolmajid Erfani, Vanessa Frias-Martinez

Michigan Tech Publications

In light of the outbreak of COVID-19, analyzing and measuring human mobility has become increasingly important. A wide range of studies have explored spatiotemporal trends over time, examined associations with other variables, evaluated non-pharmacologic interventions (NPIs), and predicted or simulated COVID-19 spread using mobility data. Despite the benefits of publicly available mobility data, a key question remains unanswered: are models using mobility data performing equitably across demographic groups? We hypothesize that bias in the mobility data used to train the predictive models might lead to unfairly less accurate predictions for certain demographic groups. To test our hypothesis, we applied two …

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Corrosion Related To The Nuclear Waste Containers, Ali Ebrahimzadeh Pilehrood Oct 2023

Corrosion Related To The Nuclear Waste Containers, Ali Ebrahimzadeh Pilehrood

Corrosion Research

The disposal of nuclear waste is a demanding topic, and the existing methods, whether it is temporary storage in spent fuel pools or storage in geological repositories, both face the risk of corrosion-related problems. Any failure in these storage methods can potentially lead to the release of radioactive materials into the environment. To avert such catastrophic scenarios, people in the nuclear industry consistently monitor and maintain these storage facilities endlessly and attempt to improve the plans designed to store nuclear waste. Here, I will examine the nuclear waste management organization (NWMO) plan in Canada. Choosing an appropriate location for the …

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Corrosion Case Study On Pipeline, Kangze Ren Oct 2023

Corrosion Case Study On Pipeline, Kangze Ren

Corrosion Research

The Kashagan pipeline leaks were likely caused by sulfur stress corrosion cracking, a combined corrosion mechanism developed by the presence of high pressure, the high level of hydrogen sulfide(the main "ingredient" of sour gas), and poor metallurgical choice. Improper welding and poor metallurgical examination were blamed for causing the leaking issue. The purpose of the current review is to raise the alarm about the inappropriate corrosion management of Kashagan oil production and its societal and environmental consequences.

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Biomembrane-Based Memcapacitive Reservoir Computing System For Energy-Efficient Temporal Data Processing, Md Razuan Hossain, Ahmed S. Mohamed, Nicholas X. Armendarez, Joseph S. Najem, Md Sakib Hasan Oct 2023

Biomembrane-Based Memcapacitive Reservoir Computing System For Energy-Efficient Temporal Data Processing, Md Razuan Hossain, Ahmed S. Mohamed, Nicholas X. Armendarez, Joseph S. Najem, Md Sakib Hasan

Faculty and Student Publications

Reservoir computing is a highly efficient machine learning framework for processing temporal data by extracting input features and mapping them into higher dimensional spaces. Physical reservoirs have been realized using spintronic oscillators, atomic switch networks, volatile memristors, etc. However, these devices are intrinsically energy-dissipative due to their resistive nature, increasing their power consumption. Therefore, memcapacitive devices can provide a more energy-efficient approach. Herein, volatile biomembrane-based memcapacitors are leveraged as reservoirs to solve classification tasks and process time series in simulation and experimentally. This system achieves a 99.6% accuracy for spoken-digit classification and a normalized mean square error of 7.81×10−4$7.81 \times …

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Teacher Candidates’ Conceptions And Practices Of Computational Thinking For Equity, Heather F. Clark, Symone A. Gyles, Imelda Nava-Landeros Oct 2023

Teacher Candidates’ Conceptions And Practices Of Computational Thinking For Equity, Heather F. Clark, Symone A. Gyles, Imelda Nava-Landeros

Journal of Computer Science Integration

This study documents novice science and math teachers’ developing pedagogical approaches to integrating computational thinking (CT) and data into their courses to support educational equity and social justice. The 10 novice teacher candidates (TCs) studied were part of an urban teacher residency program that empowered them with an asset-based pedagogy we describe as “CT for Equity.” Drawing on coursework and interviews as data, we asked three questions: What are teachers’ conceptions of CT? What are their CT instructional practices? And how did their students respond to those practices? To explore conceptions of CT, we used Kafai et al.’s (2020) articulation …

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The Role Of Xanthan Gum In Predicting Durability Properties Of Self-Compacting Concrete (Scc) In Mix Designs, Alireza Masoumi, Reza Farokhzad, Seyed Hooman Ghasemi Oct 2023

The Role Of Xanthan Gum In Predicting Durability Properties Of Self-Compacting Concrete (Scc) In Mix Designs, Alireza Masoumi, Reza Farokhzad, Seyed Hooman Ghasemi

Henry M. Rowan College of Engineering Departmental Research

This study comprehensively investigates the rheological properties of self-compacting concrete (SCC) and their impact on critical parameters, including the migration coefficient, penetration depth of chlorine ions, specific electrical resistance, and compressive strength. A total of 43 mix designs were meticulously examined to explore the relationships between these properties. Quantitative analysis employed a backpropagation neural network model with a single hidden layer to accurately predict the resistant and durable characteristics of self-compacting concrete. The optimal number of neurons in the hidden layer was determined using a fitting component selection method, implemented in MATLAB software(2021b). Additionally, qualitative analysis was conducted using sensitivity …

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An Evaluation Of Parameters Which Affect Dairy Herd Movement On Irish Pasture-Based Farms, Paul James Maher, Michael D. Murphy, Michael Egan, Patrick Tuohy Oct 2023

An Evaluation Of Parameters Which Affect Dairy Herd Movement On Irish Pasture-Based Farms, Paul James Maher, Michael D. Murphy, Michael Egan, Patrick Tuohy

Publications

In pasture-based grazing systems, farm roadways are a pivotal link to connect paddocks on the grazing platform to the milking parlour. However, their effectiveness in the efficient movement of the dairy herd between the grazing paddocks and the milking parlour has yet to be fully quantified. A validation experiment was conducted on a research farm to analyse characteristics on farm roadways that may affect cow throughput, which was observed as the number of cows per minute (CPM) passing a specified location. Roadway width (R2 = 0.96) and surface condition score (SC) (R2 = 0.78, respectively) were both positively associated with …

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Uas Risk Analysis In And Around Airports, Prasad Pothana, Jack Thornby, Michael Ullrich, Sreejith Vidhyadharan, Paul Snyder Oct 2023

Uas Risk Analysis In And Around Airports, Prasad Pothana, Jack Thornby, Michael Ullrich, Sreejith Vidhyadharan, Paul Snyder

Petroleum Engineering Posters and Presentations

No abstract provided.

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Investigation Of The Effective Parameters On The Phenol Removal From The Groundwater By Response Surface Method, Khatereh Ahmadi, Farhad Qaderi, S. Mustapha Rahmaninezhad, Reza Shidpour Oct 2023

Investigation Of The Effective Parameters On The Phenol Removal From The Groundwater By Response Surface Method, Khatereh Ahmadi, Farhad Qaderi, S. Mustapha Rahmaninezhad, Reza Shidpour

Civil Engineering Faculty Publications

The discharge of industrial waste containing organic pollutants like phenol has caused a surge in environmental complications in water, soil, and air. In recent years, the concentration of phenolic pollutants has risen due to their high toxicity and environmental persistence. This research used geotextile/activated carbon (GTX/AC) adsorbent to purify groundwater contaminated with phenol, owing to its easy availability. A low-cost geotextile carrier was utilized to avoid the dispersion of active carbon in the groundwater. Response surface method (RSM) was used in the present research to design and optimize experimental tests. The results indicate that the initial concentration, pH, and adsorbent …

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10.16.2023 Orsp Connect, Liz Williamson Oct 2023

10.16.2023 Orsp Connect, Liz Williamson

ORED Newsletter

No abstract provided.

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Lactation Physiokinetics—Using Advances In Technology For A Fresh Perspective On Human Milk Transfer, Jimi Francis, Paul Flynn, Maisha Naowar, Premananda Indic, Darby Dickton Oct 2023

Lactation Physiokinetics—Using Advances In Technology For A Fresh Perspective On Human Milk Transfer, Jimi Francis, Paul Flynn, Maisha Naowar, Premananda Indic, Darby Dickton

Electrical Engineering Faculty Publications and Presentations

Introduction: Though the nature of breastfeeding is critical, scant information is available on how the action of the milk transfer from mother to infant is regulated in humans, where the points of dysfunction are, and what can be done to optimize breastfeeding outcomes. While better therapeutic strategies are needed, before they can be devised, a basic scientific understanding of the biomechanical mechanisms that regulate human milk transfer from breast to stomach must first be identified, defined, and understood. Methods: Combining systems biology and systems medicine into a conceptual framework, using engineering design principles, this work investigates the use of biosensors …

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Impact Of Thermal Maturation Of The Upper Cretaceous Bituminous Limestone Of Attarat Um Ghudran Central Jordan On Calcareous Nannofossil Preservation, Mohammad Alqudah, Mohammad Al Alaween, Adam Fermor, Ezaldeen Ali, Thomas Wagner, Mohammed Hail Alhakimi, Afikah Rahim Oct 2023

Impact Of Thermal Maturation Of The Upper Cretaceous Bituminous Limestone Of Attarat Um Ghudran Central Jordan On Calcareous Nannofossil Preservation, Mohammad Alqudah, Mohammad Al Alaween, Adam Fermor, Ezaldeen Ali, Thomas Wagner, Mohammed Hail Alhakimi, Afikah Rahim

All Works

Oil shale deposits of the Late Cretaceous from three boreholes in central Jordan were examined to assess the impact of thermal maturation on the content of nannofossils. Thermal activity has been shown to have a strong effect on organic matter content and composition but its effect on calcareous nannofossil assemblages remains inconclusive. This study aims to determine the impact of thermal maturation on nannofossil assemblages and to compare this to an estimated maturity level based on bulk geochemical analysis. Micropaleontological and geochemical analyses were conducted on 31 samples from three oil shale wells drilled in Attarat Um Ghudran central Jordan. …

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Study The Structural Behavior Of Back-To-Back Cold-Formed Steel Columns With Different Types Of Web Stiffeners, Mahmoud Elnagar, Boshra A. El‑Taly, Dalia N. Elmenshawy, Ghada M. Hekal Oct 2023

Study The Structural Behavior Of Back-To-Back Cold-Formed Steel Columns With Different Types Of Web Stiffeners, Mahmoud Elnagar, Boshra A. El‑Taly, Dalia N. Elmenshawy, Ghada M. Hekal

Mansoura Engineering Journal

Six cold-formed steel columns with lipped channel and different types of web stiffener configurations were experimentally investigated under axial compression forces up to failure. The experimental results were compared with Finite Element; FE analysis using Abaqus program. The behavior characteristics; including the ultimate load, the axial shortening, and the failure mode have been analyzed. The test specimens were brake-pressed from cold-formed steel sheets with nominal thickness of 1.5 mm and then each two identical members were connected back-to-back by selfdrilling screws to form an I-shaped section with edge and web stiffeners. Tests were carried out on short columns with length …

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Hydrogen Recovery From Refinery Units Off Gases Using Different Systems, Abdullaha.H. Abdullah, M.M. El-Halwany, Mahmoud H Mahmoud, Mohamed Gar Alalm Oct 2023

Hydrogen Recovery From Refinery Units Off Gases Using Different Systems, Abdullaha.H. Abdullah, M.M. El-Halwany, Mahmoud H Mahmoud, Mohamed Gar Alalm

Mansoura Engineering Journal

Hydrogen recovery unit is important to remove H2S from the off gases generated from various units in refinery and recovers hydrogen. The recovered hydrogen reduces the quantity of hydrogen needed to be produced from hydrogen production unit required for hydro-treating processes in the refinery. The off gas generated from this unit is used as fuel gas. This is achieved at reasonable cost and with maximum protection to people, equipment, materials, and the environment. Proper operation will ensure that these goals are met. The required purity is (>99.9 mol%).

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Study Of Improved Sorting Weighting Cfar Detectors For Gaussian Environment, Souad Chabbi, Khadidja Belhi, M'Hamed Hamadouche Oct 2023

Study Of Improved Sorting Weighting Cfar Detectors For Gaussian Environment, Souad Chabbi, Khadidja Belhi, M'Hamed Hamadouche

Emirates Journal for Engineering Research

The goal of this paper is to improve the detection performance and the false alarm regulation of the conventional order statistics Constant False Alarm Rate (OS-CFAR) detectors in a non-homogeneous Gaussian environment. To this end, we design and study the New Sorting Weighting (NSW-) and the Modified Sorting Weighting (MSW-) CFAR detectors. We find closed forms of the detection ( ) and the false alarm ( ) probabilities for both detectors. Moreover, we identify the optimum pairs of weights that maximize the and ensure a constant . Finally, we prove through Monte Carlo simulations that these detectors provide better detection …

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Thermodynamic Properties Of Common Salts In Aqueous Solutions, Li Shu, Veeriah Jegatheesan, Leonardo Jegatheesan Oct 2023

Thermodynamic Properties Of Common Salts In Aqueous Solutions, Li Shu, Veeriah Jegatheesan, Leonardo Jegatheesan

Research outputs 2022 to 2026

A relationship between the activity of hydrogen ions and charge activity in an aqueous solution has been developed in a previous study. That study also revealed that the potential energy of an aqueous solution can be obtained by multiplying the charge activity with electrostatic potential of the solution. In this study, negative potential energy equalling Gibbs energy of four common salt (NaCl, KCl, NaNO3 and KNO3) solutions were quantified using the charge activity. Then the entropies of those salt solutions were computed using the Gibbs energy, enthalpy, and the charge activity. Charge activities were computed using the pH of those …

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Vistac Toward A Unified Multimodal Sensing Finger For Robotic Manipulation, Sheeraz Athar, Gaurav Patel, Zhengtong Xu, Qiang Qiu, Yu She Oct 2023

Vistac Toward A Unified Multimodal Sensing Finger For Robotic Manipulation, Sheeraz Athar, Gaurav Patel, Zhengtong Xu, Qiang Qiu, Yu She

School of Industrial Engineering Faculty Publications

Tactile sensors are crucial in providing contact geometry information necessary for object manipulation. However, it remains highly nontrivial for a tactile sensor to be able to perceive a distant object before manipulation. In this work, we present an innovative robotic finger, VisTac, which seamlessly combines high-resolution tactile and visual perception in a single unified device, while adhering to essential mechanical constraints, such as a human-finger-like wedge-shaped top, vital for manipulation tasks. Furthermore, we discuss the fabrication of a key component in the device; the semitransparent membrane with light-dependent opacity, thus enabling the contact surface to effortlessly transition between visual and …

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Fortifying Iot Against Crimpling Cyber-Attacks: A Systematic Review, Usman Tariq, Irfan Ahmed, Muhammad Attique Khan, Ali Kashif Bashir Oct 2023

Fortifying Iot Against Crimpling Cyber-Attacks: A Systematic Review, Usman Tariq, Irfan Ahmed, Muhammad Attique Khan, Ali Kashif Bashir

Karbala International Journal of Modern Science

The rapid growth and increasing demand for Internet of Things (IoT) devices in our everyday lives create exciting opportunities for human involvement, data integration, and seamless automation. This fully interconnected ecosystem considerably impacts crucial aspects of our lives, such as transportation, healthcare, energy management, and urban infrastructure. However, alongside the immense benefits, the widespread adoption of IoT also brings a complex web of security threats that can influence society, policy, and infrastructure conditions. IoT devices are particularly vulnerable to security violations, and industrial routines face potentially damaging vulnerabilities. To ensure a trustworthy and robust security framework, it is crucial to …

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Smart Service Function Chain System For Dynamic Traffic Steering Using Reinforcement Learning (Chrl), Ahmed Nadhum, Ahmed Al-Saadi Oct 2023

Smart Service Function Chain System For Dynamic Traffic Steering Using Reinforcement Learning (Chrl), Ahmed Nadhum, Ahmed Al-Saadi

Karbala International Journal of Modern Science

The rapid development of the Internet and network services coupled with the growth of communication infrastructure necessitates the employment of intelligent systems. The complexity of the network is heightened by these systems, as they offer diverse services contingent on traffic type, user needs, and security considerations. In this context, a service function chain offers a toolkit to facilitate the management of intricate network systems. However, various traffic types require dynamic adaptation in the sets of function chains. The problem of optimizing the order of service functions in the chain must be solved using the proposed approach, along with balancing the …

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Coexistence Of Specialist And Generalist Species Within Mixed Plastic Derivative-Utilizing Microbial Communities, Laura G. Schaerer, Lindsay I. Putman, Isaac Bigcraft, Emma Byrne, Daniel G. Kulas, Ali Zolghadr, Sulihat Aloba, Rebecca Ong, David Shonnard, Stephen Techtmann Oct 2023

Coexistence Of Specialist And Generalist Species Within Mixed Plastic Derivative-Utilizing Microbial Communities, Laura G. Schaerer, Lindsay I. Putman, Isaac Bigcraft, Emma Byrne, Daniel G. Kulas, Ali Zolghadr, Sulihat Aloba, Rebecca Ong, David Shonnard, Stephen Techtmann

Michigan Tech Publications

BACKGROUND Plastic-degrading microbial isolates offer great potential to degrade, transform, and upcycle plastic waste. Tandem chemical and biological processing of plastic wastes has been shown to substantially increase the rates of plastic degradation however, the focus of this work has been almost entirely on microbial isolates (either bioengineered or naturally occurring). We propose that a microbial community has even greater potential for plastic upcycling. A microbial community has greater metabolic diversity to process mixed plastic waste streams and has built-in functional redundancy for optimal resilience. RESULTS Here, we used two plastic-derivative degrading communities as a model system to investigate the …

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Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay Oct 2023

Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay

Neutrosophic Systems with Applications

Contemporary mathematical techniques have been crafted to address the uncertainty of numerous real-world settings, including Fermatean neutrosophic fuzzy set theory. Fermatean neutrosophic fuzzy set is an extension of combining Fermatean and neutrosophic sets. A Fermatean neutrosophic set was developed to enable the analytical management of ambiguous data from relatively typical real-world decision-making scenarios. Decision-makers find it challenging to determine the degree of membership (MG) and non-membership (NG) with sharp values due to the insufficient data provided. Intervals MG and NG are suitable options in these circumstances. In this article, the shortest route issue is formulated using an interval set of …

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The Santa Clara, 2023-10-13, Santa Clara University Oct 2023

The Santa Clara, 2023-10-13, Santa Clara University

The Santa Clara

No abstract provided.

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Statistical And Machine Learning Approaches To Describe Factors Affecting Preweaning Mortality Of Piglets, Md Towfiqur Rahman, Tami M. Brown-Bandl, Gary A. Rohrer, Sudhendu R. Sharma, Vamsi Manthena, Yeyin Shi Oct 2023

Statistical And Machine Learning Approaches To Describe Factors Affecting Preweaning Mortality Of Piglets, Md Towfiqur Rahman, Tami M. Brown-Bandl, Gary A. Rohrer, Sudhendu R. Sharma, Vamsi Manthena, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

High preweaning mortality (PWM) rates for piglets are a significant concern for the worldwide pork industries, causing economic loss and well-being issues. This study focused on identifying the factors affecting PWM, overlays, and predicting PWM using historical production data with statistical and machine learning models. Data were collected from 1,982 litters from the U.S. Meat Animal Research Center, Nebraska, over the years 2016 to 2021. Sows were housed in a farrowing building with three rooms, each with 20 farrowing crates, and taken care of by well-trained animal caretakers. A generalized linear model was used to analyze the various sow, litter, …

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Statistical And Machine Learning Approaches To Describe Factors Affecting Preweaning Mortality Of Piglets, Md Towfiqur Rahman, Tami M. Brown-Bandl, Gary A. Rohrer, Sudhendu R. Sharma, Vamsi Manthena, Yeyin Shi Oct 2023

Statistical And Machine Learning Approaches To Describe Factors Affecting Preweaning Mortality Of Piglets, Md Towfiqur Rahman, Tami M. Brown-Bandl, Gary A. Rohrer, Sudhendu R. Sharma, Vamsi Manthena, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

High preweaning mortality (PWM) rates for piglets are a significant concern for the worldwide pork industries, causing economic loss and well-being issues. This study focused on identifying the factors affecting PWM, overlays, and predicting PWM using historical production data with statistical and machine learning models. Data were collected from 1,982 litters from the U.S. Meat Animal Research Center, Nebraska, over the years 2016 to 2021. Sows were housed in a farrowing building with three rooms, each with 20 farrowing crates, and taken care of by well-trained animal caretakers. A generalized linear model was used to analyze the various sow, litter, …

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Contemplation Of Improvement Efforts To Manage Combined Sewer Overflows †, Younghan Edwin Jung, Myung Jeong, Hwandon Jun, Trevor Smith Oct 2023

Contemplation Of Improvement Efforts To Manage Combined Sewer Overflows †, Younghan Edwin Jung, Myung Jeong, Hwandon Jun, Trevor Smith

Civil Engineering & Construction: Faculty Publications

Combined sewer overflow (CSO) is a significant environmental concern and public health risk (e.g., water contamination, eutrophication, and beach closure). The Environmental Protection Agency (EPA) has introduced the National Pollutant Discharge Elimination System (NPDES) permitting program to regulate and address this matter. This program mandates the control of CSOs for more than 700 municipalities obligated to devise Long-term Control Plans (LTCPs) to curb combined sewer overflows and reduce them to safe levels. The LTCP involves diverse strategies, including sewer separation, green infrastructure improvements, and conventional gray infrastructure upgrades. This study investigates several municipalities’ solutions for CSO problems that use conventional …

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Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay Oct 2023

Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay

Neutrosophic Systems with Applications

Contemporary mathematical techniques have been crafted to address the uncertainty of numerous real-world settings, including Fermatean neutrosophic fuzzy set theory. Fermatean neutrosophic fuzzy set is an extension of combining Fermatean and neutrosophic sets. A Fermatean neutrosophic set was developed to enable the analytical management of ambiguous data from relatively typical real-world decision-making scenarios. Decision-makers find it challenging to determine the degree of membership (MG) and non-membership (NG) with sharp values due to the insufficient data provided. Intervals MG and NG are suitable options in these circumstances. In this article, the shortest route issue is formulated using an interval set of …

Go to article

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