Digital Commons Network^™

Passive Phosphorus Filtering System Design, Ryan T. Bailey

Williams Honors College, Honors Research Projects

The objective of this project is to find an efficient way to remove phosphorus from surface water through passive filtration. Specifically, the project will focus on the upper Cuyahoga River. Ongoing research being conducted by Dr. Teresa Cutright from The University of Akron and Jessica Glowczewski from the City of Akron’s Watershed Division serves as a basis for this project.

Fertilizers used in agriculture are often washed off by rainfall and enter the groundwater and nearby streams. The phosphorus contained in the fertilizer can be harmful to the environment by increasing the frequency of large algal blooms. To reduce the …

Smart Material Actuated Flap, James Lyons, Kristofer Johnson

Williams Honors College, Honors Research Projects

The objective of this project is to develop and evaluate a smart material actuated aerodynamic control surface to determine the viability of these new systems as alternatives to conventional electromechanical and hydraulic systems. The research will begin with the selection of a control surface and actuator design. The concept will then be tailored to create an experimental model for the purposes of this project. Smart materials that suit the model requirements will be selected and procured. Next, the actuators will be shape trained and characterized to meet the model requirements. Then, a benchtop model will be produced for design verification, …

Kb Bioenergy Mobile Dewatering System Research, Wyatt Balser, Nathan Szymczak

Williams Honors College, Honors Research Projects

This report outlines the design and development of a mobile skid-mounted dewatering system intended for high-solids sludge processing at wastewater treatment facilities. The goal was to create a self-contained, transportable unit capable of reliably separating water from sludge using a screw press, while integrating upstream processes such as polymer conditioning, sludge maceration, and pumping. The final design prioritizes serviceability, structural integrity, and operational simplicity, featuring a consolidated equipment layout, engineered piping diagrams, and vendor-specified components.

Throughout the project, multiple design alternatives were evaluated using a weighted decision matrix, leading to the selection of a skid platform over a trailer configuration …

Vector Estimation For Continuous Tracking Of Observed Radio Signals (V.E.C.T.O.R.) Lunar Navigation System, Dimitry Melnikov, Evan Bartel, Andrew Burrier, Goran Gjorgievski

Williams Honors College, Honors Research Projects

NASA's Artemis program requires precise navigation capabilities to establish the first sustained presence on the lunar surface. However, as launches bring necessary orbital infrastructure, the Artemis program will face a critical period during which reliable lunar navigation is not possible. To address this challenge, the V.E.C.T.O.R. system tracks assets, such as rovers and astronauts, as User Terminals relative to a pre-existing cell tower, or Base Station. To do so, the system leverages existing Base Station hardware to calculate the location of User Terminals in conjunction with existing communications infrastructure.

Improving The Robustness Of Compressed Deep Learning Models Against Class Imbalance, Baraa Saeed Ali

Wayne State University Dissertations

Deep Learning (DL) models are deployed ubiquitously, as they power a wide range of critical applications, including image classification, fraud detection, autonomous vehicles, robots, and NLP. However, their massive size and huge memory footprint (overparameterization) represent a serious challenge to the efficient deployment of such models, especially in resource-scarce environments such as wearable devices, smartphones, edge devices, and embedded systems. Therefore, model compression techniques are typically used to shrink the model size to the currently available computational and memory budget and to accelerate training and inference without sacrificing model accuracy and performance. Therefore, the DL research community considers model compression …

Proceedings Of The Tenth Annual Indiana Stem Education Conference: Generational Advances Through Stem Education, William S. Walker Iii, Lynn A. Bryan, S Selcen Guzey

Indiana STEM Education Conference

The Proceedings of the Tenth Annual Indiana STEM Education Conference are edited by the Center for Advancing the Teaching and Learning of STEM (CATALYST, https://www.education.purdue.edu/catalyst/) at Purdue University. The theme for the 2025 conference is Generational Advances through STEM Education. This year’s conference provides opportunities to learn about effective STEM education strategies, curriculum, and resources to engage students by considering the advances and impact of STEM.

Ripples Of Change: Middle School Students Navigating The Future Of Our Watershed Through Eco-Stem, Elizabeth Andrew Thiel

Indiana STEM Education Conference

Ripples of Change is an eco-STEM unit designed to address Indiana’s environmental education goals by fostering environmental literacy and informed decision-making among middle school students. By engaging students in community-based learning activities that empower students to address watershed issues, this eco-STEM unit promotes culturally sustaining integrated STEM education. Preliminary findings indicate increased student awareness and responsibility for their impact on local ecosystems using evidence-based reasoning, highlighting the potential for Ripples of Change to inspire global citizenship in students and scalable eco-STEM approaches.

Development And Validation Of A Subject-Specific Integrated Finite Element Musculoskeletal Model Of Human Trunk With Ergonomic And Clinical Applications, Farshid Ghezelbash, Amir Hossein Eskandari, Amir Jafari Bidhendi, Aboulfazl Shirazi-Adl, Christian Lariviere

Études primaires

Biomechanical modeling of the human trunk is crucial for understanding spinal mechanics and its role in ergonomics and clinical interventions. Traditional models have been limited by only considering the passive structures of the spine in finite element (FE) models or incorporating active muscular components in multi-body musculoskeletal (MS) models with an oversimplified spine. To address those limitations, we developed a subject-specific coupled FE-MS model of the trunk and explored its applications in ergonomics and surgical interventions. A parametric detailed FE model was constructed, integrated with a muscle architecture, and individualized based on existing datasets. Our comprehensive validation encompassed tissue-level responses, …

Neurotensin Regulates Primate Ovulation Via Multiple Neurotensin Receptors, Andrew C. Pearson, Jessica S. Miller, Hannah J. Jensen, Ketan Shrestha, Thomas E. Curry Jr., Diane M. Duffy

Department of Biomedical and Translational Sciences Faculty Publications

Neurotensin (NTS), a small neuropeptide, was recently established as a key paracrine mediator of ovulation. NTS mRNA is highly expressed by granulosa cells in response to the luteinizing hormone (LH) surge, and multiple NTS receptors are expressed by cells of the ovulatory follicle. To identify the role of NTS receptors NTSR1 and SORT1 in ovulation in vivo, the dominant follicle of cynomolgus macaques (Macaca fascicularis) was injected with either vehicle control, the general NTS receptor antagonist SR142948, the NTSR1-selective antagonist SR48692, or the SORT1-selective antagonist AF38469. Human chorionic gonadotropin (hCG) was then administered to initiate ovulatory events. …

Rfid Occupied Advanced Framework For Specialized Vehicle Access, Operating System, And Wireless Data Transmission Without Human Intervention, Abdullah Al Mamun Anik, Mosammet Sadia Akter Moon, Fahim Faysal Arnob, Mehedi Hasan, S. A. Naimal Hoque, Mohammad Mashhunar Rahman, Tahzin Bin Ahmed, Tonmoy Barua

Mechanical Engineering Faculty Publications and Presentations

Radio frequency identification system (RFID) tags are tiny electronic devices that include a distinctive code that can be detected by a reader that supports RFID. The string of characters is used for recognizing and monitoring the object to which the tag is connected. RFID tags interact with RFID readers using radio frequency. While the tag comes into close proximity to the scanner, that device sends a radio signal that triggers the tag. The tag then responds by sending its unique identity. RFID pinpointing ability is verified experimentally in two different techniques, one utilizing radar and the other a photosensitive transition. …

Optimized Vgg16 For Multi-Class Classification Of Alzheimer's Disease, Amira M. Basuoni, Hussein Seleem, Amira S. Ashour

Mansoura Engineering Journal

Alzheimer’s disease (AD) is a severe neurological disorder that leads to memory loss and other cognitive impairments, ultimately resulting in death. With the advancement of deep learning, several researchers implemented a deep learning (DL)-based classification system for diagnosing such disease. However, determining the proper setting of the parameters, like learning rate and the number of dense units in the classification model is essential to achieve the best performance. Although manual tuning and grid search methods may be used, they are often time-consuming and cannot achieve the optimal model’s design. Accordingly, this paper proposed an improved model of the Visual Geometry …

Adaptive Watermarking Scheme For Enhanced Image Authentication And Restoration, Merna E. Ibrahim, Mohamed G. Abdelfattah, Mohamed A. Mohamed

Mansoura Engineering Journal

Traditional fragile watermarking schemes often struggle to balance tamper detection accuracy, image quality, and processing speed. This paper presents a novel adaptive fragile watermarking scheme that leverages Canny-edge detection to dynamically adjust watermark embedding based on image features. The proposed approach classifies image regions into smooth and dense areas. Larger 4×4 blocks are employed in smooth regions, prioritizing visual quality and processing speed, while smaller 2×2 blocks are used in edge and dense regions to enhance tamper detection accuracy. This adaptive strategy effectively balances competing factors, resulting in superior recovered image quality compared to fixed-block schemes. Experimental results demonstrate the …

Ad2c-Sg-Tl: Alzheimer's Disease Detection And Classification Based On Stacked Generalization And Transfer Learning Approaches, Mariam Gamal Alboghdady, Amira Y. Haikal, Hesham H. Gad, Noha A. Sakr

Mansoura Engineering Journal

Alzheimer's disease (AD) is a degenerative neurologic illness that causes brain atrophy and cell death. Although there is no cure for AD, diagnosing its onset can be very beneficial in the medical field.This paper presents a deep ensemble learning framework for classifying AD stages. Transfer learning (TL) is applied using eight pretrained convolutional neural networks (CNNs) (i.e., VGG16, VGG19, ResNet50V2, MobileNet, DenseNet121, DenseNet169, Xception and MobileNetV2). Stackedgeneralization ensembles techniques are used to provide greater generalization by combining finetuned models with five ensemble models. Using five different stacked ensembles (SE) models to improve the generalization.The ensemble model created by combining all …

A Multi-Variate Rotating Machinery Fault Optimization And Recognition Framework, Ahmed M. Abdelrahman, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Accurate diagnosis, prognosis, and forecasting of a machine's time-to-failure are crucial through the massive, profound monitoring parameters and expeditiously is essential to assist in the preservation of reliability and life remaining for the machine increase by recommending an appropriate decision to diminish the occurrence of ruinous malfunction and substantial financial losses proactively. Artificial intelligence is considered significantly crucial to specialists in diagnosing various faults. But all research, although have great accuracy, still till now have a lack on the number of considering parameters to achieve the diagnosis or prognosis.in addition to, it depends on repeat the processing for sensor reading …

Towards A Framework To Integrate Smart Urban Agriculture Into City Planning In Egypt, Heba Adel Ahmed Hussein

Mansoura Engineering Journal

This study discusses challenges facing the expansion of urban agriculture in Egypt, investigates overcoming these challenges using smart solutions, and proposes a framework to integrate smart urban agriculture (SUA) into Egyptian cities’ plans. The proposed framework provides an insight into the aspects that should be considered before, during, and after transformation to SUA. This study could serve as a basis for the integration of smart agriculture into urban planning theories and practices, and as an inspiration for urban planners, designers, landscape architects, policymakers, and decision-makers to create strategies for promoting digital transformation in Egyptian cities.

Evaluating The Efficiency Of "Axial Roads"As A Tool For Increasing Connectivity In Mega Cities, A Case Study In Egypt – "Cairo New Axial Roads", Doaa Abd El Latif Mohammed, Marwa Mohamed Abbas, Nehal M. Elmahdy

Mansoura Engineering Journal

Mega cities always suffer from many problems concerning connectivity. Hence this research is trying to understand how axial roads can contribute in solving these problems. This Research aims at evaluating the efficiency of axial roads as a tool for increasing connectivity in mega cities in terms of three items ( Distance - Time- Traffic Congestion) This Research handles the topic in terms of three themes. First Theme Handles the axial roads, second theme handles Connectivity in cities, While third theme handles the analytical part by comparing between moving from one destination to another using the axial roads one time and …

Arginine-Modified Surface Coffee Grounds Activated Carbon For Pb2+ Adsorption: Kinetic, Isotherm And Thermodynamic Studies, Jarawee Chupirom, Sirikorn Khaophong, Nopporn Hemyakorn, Sonchai Intachai, Panita Kongsune

Journal of Metals, Materials and Minerals

This research focuses on enhancing the value of coffee waste by converting it into activated carbon for removing Pb²⁺ ions from contaminated water. Coffee grounds were activated with KOH and carbonized at 600°C for 4 h to produce activated carbon (CGAC), then modified with arginine via hydrothermal treatment at 120°C for 48 h to create Arg-CGAC. The adsorbents' chemical and physical properties were analyzed using SEM, FT-IR, BET, and pHpzc methods. Batch experiments revealed that Arg-CGAC exhibited superior Pb2+ adsorption (223.10 mg∙g‒1) compared to CGAC (119.23 mg∙g‒1) under optimal conditions. Isotherm analysis showed stronger adsorbate-adsorbent interactions and a more endothermic …

Structural And Dynamic Analysis Of Tapered Mast Bladeless Wind Turbines Using Fea And Cfd For Renewable Energy Generation, A. Pradeep, Raman Kumar, P. S. Satheesh Kumar, Nagaraj Patil, Vijayakumar Sivasundar, P. Vijaya Kumar, Selvaraj Manickam, Debasish Shit

Journal of Metals, Materials and Minerals

The present analysis investigates the possibility of using a tapered mast profile for bladeless wind turbines (BWTs) to enhance the function of extracting wind energy through the phenomenon of vortex-induced vibrations. Conventional HAWTs which remain the most efficient are however, costly in maintenance, mechanically complicated and rather unfavourable to the environment. To overcome these challenges a prototype BWT with a 0.6 m tapered mast was developed for the currents using mild steel and hollow square steel sections. Wind tunnels were also used to compare stress distribution, structural deformation and vane vortex shedding for the building at different wind speeds. The …

Low-Cost High Performance Sustainable Triboelectric Nanogenerator Based On Laboratory Waste, Archana Panda, Kunal Kumar Das, Kushal Ruthvik Kaja, Venkataramana Gandi, Sunit Gourav Mohanty, Basanta Kumar Panigrahi

Journal of Metals, Materials and Minerals

The production of waste materials in laboratories is an unavoidable consequence of diverse experiments and activities. These materials can range from chemicals, solvents, and biological samples to electronic components, glassware, and plastics. Typically, this waste is classified into hazardous and non-hazardous categories, requiring careful disposal to avoid environmental and health risks. These can be repurposed for energy harvesting methods, such as using polymers in triboelectric nanogenerators (TENGs) or recycling metallic waste for electrodes. This approach reduces waste while advancing sustainable energy solutions. This technique demonstrates remarkable efficiency in utilizing diverse waste materials to transform various forms of mechanical energy into …

Tin Oxide Nanoparticle Extraction From Waste Solder Dross Via Low-Temperature Hydrometallurgical Process, Tanongsak Yingnakorn, Sirunya Somla, Thanapon Chandakhiaw, Ethan Cheung, Sakhob Khumkoa

Journal of Metals, Materials and Minerals

This study proposes a hydrometallurgical approach to valorising industrial waste by producing SnO2 nanoparticles (NPs) from waste solder dross obtained by skimming off of tin solder baths from electronic dipping processes. The process involves leaching the dross with aqueous hydrochloric acid solution and hydrogen peroxide, followed by precipitation with ammonium hydroxide and purification with aqueous nitric acid solution. The optimised leaching conditions were determined to be 4 mol∙ L‒1 HCl, 11% v/v H2O2, 25℃, and a leaching time of 15 min. SnO2 NPs were successfully precipitated at pH 4 using 25% v/v NH4OH and purified with 1 mol∙ L‒1 HNO3. …

Synergistic Effects Of Co-Ni Nanoalloys On Sio2@Tio2: A Novel Approach To Photocatalytic Tetracycline Degradation, Pratyush Kumar Sahu, Alaka Rath, Aslisha Champati, Ashish Madual, Pravat Manjari Mishra, Abanti Pradhan, Brundabana Naik

Journal of Metals, Materials and Minerals

To develop a cost-effective alternative to noble metal catalysts for photocatalysis, we synthesized a series of bimetallic Co-Ni nanoalloys on core-shelled SiO2@TiO2 nanostructures via a chemical reduction approach. The research demonstrates the photocatalytic behaviour of the Co-Ni alloy-enhanced SiO2@TiO2 (ST-Co, Ni) hybrid nanocatalyst, focusing on its crystalline structures, morphological shapes, chemical conditions, and optical properties, utilizing techniques such as X-ray diffraction, field emission scanning electron microscopy, UV-visible diffuse reflectance spectroscopy, photoluminescence spectroscopy, transmission electron microscope, and electrochemical analysis. The catalyst was evaluated for its effectiveness in degrading tetracycline, an overused antibiotic that persists in aquatic environments and is known for …

Graphitic Carbon Nitride Loaded Bi4o5i2 For Elevated Photocatalytic Tetracycline Degradation, Subhasish Mishra, Barsha Marandi, Kali Sanjay, Rashmi Acharya

Journal of Metals, Materials and Minerals

As a robust photocatalyst, Bi4O5I2 have has attracted significant scientific interest owing to its narrow bandgap energy, escalated electronic properties and high stability. Nonetheless, the unfavourable band structure and higher recombination of excitons have restricted its diversified photocatalytic applications. In this context, binary heterojunction construction using Bi4O5I2 could be considered an effective strategy for spatial charge carrier separation across the hetero-interface, leading to an enhanced activity. In this study, we have prepared Bi4O5I2/g-C3N4 Z-scheme hetero-structures via a wet impregnation strategy that preserves the spherical structure of Bi4O5I2. The phase purity, chemical bonding, morphology and microstructure of the composite were confirmed …

Solar Radiation Assisted Photocatalytic Degradation Of Congo Red Using Ce Doped Lacoo3, Rishabh Kamal, Rasmirekha Pattanaik, Debapriya Pradhan, Suresh Kumar Dash

Journal of Metals, Materials and Minerals

A viable sol-gel synthesis technique was used to synthesize LaCoO3 and Ce doped LaCoO3 for degradation of congo red dye taking a renewable source of light i.e solar radiation. The crystalline structure, morphology, and optical properties of the synthesized catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) analysis of Ce-doped LaCoO₃ confirmed the presence of La (3d), Ce (3d), Co (2p), C (1s), and O (1s) and their valence states in the perovskite matrix, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and ultraviolet diffuse reflectance spectroscopy (UV-DRS). The XRD analysis with a prominent diffraction peak detected …

The Effect Of Pt And Pd Decoration On Sno2 Slant Nanorods Fabricated Using Dc Magnetron Sputtering With Oad Technique For Co Gas Sensing Applications, Nampueng Pangpaiboon, Thitiporn Kaewyou, Sethavut Duangchan, Kata Jaruwongrungsee, Manatsawee Srirak, Tossaporn Lertvanithphol, Viyapol Patthanasettakul, Tawee Pogfay, Mati Horprathum, Saksorn Limwichean

Journal of Metals, Materials and Minerals

This research investigates the effect of Pt and Pd decoration on the structure of SnO2 slant nanorods (SNRs) films produced using DC magnetron sputtering with Oblique Angle Deposition (OAD), as well as their impact on the films' physical properties and gas sensing applications. Pt and Pd were deposited onto the SnO2 SNRs for the same duration of 20 s each. Following deposition, all the films were heat-treated temperature at 400℃ for 2 h. The characterization of both as-deposited and annealed films involved analyzing the physical morphology using FE-SEM and the crystal structure using GI-XRD. It was observed that the structure …

Microwave Absorption Properties Of Porous Activated Carbon/Nickel Oxide Composites Derived From Coconut Husks, Mohamad Zul Aqiman Shukeri, Nor Zakiah Yahaya, Ezzan Afifah Zainuddin, Nazri Mahmud, Liyana Zahid, Hasliza A. Rahim

Journal of Metals, Materials and Minerals

Porous Activated Carbon (AC) is a promising material for microwave absorbing materials, showing potential in communication and modern warfare. The study explores the process of creating porous AC from coconut husks using hydrochloric acid and carbonization at varying temperatures, followed by doping AC with nickel oxide to create an AC/NiO polymer composite with varying thicknesses. These composites are compared to AC composites loaded in a paraffin matrix. The dielectric and microwave (MW) properties of the AC/NiO and AC polymer composites at various thicknesses were analyzed using a Performance (PNA)-X Network Analyzer. The study also examines the carbon content and porosity …

Optimization Of Indigo Dyeing On Modal Fabrics Using Thiourea Dioxide As An Environmentally Friendly Reducing Agent, Monthon Nakpathom, Buppha Somboon, Nootsara Narumol, Rattanaphol Mongkholrattanasit, Pisutsaran Chitichotpanya, Nattaya Vuthiganond

Journal of Metals, Materials and Minerals

This investigation examines the potential of thiourea dioxide as an environmentally reducing agent for dyeing of natural indigo on modal fabrics. Although traditional sodium dithionite is effective, its sulfur by-products generate environmental concerns. Thiourea dioxide, which provides a more environmentally friendly alternative, was studied under various dyeing conditions. In this study, six dyeing parameters, including thiourea dioxide and sodium hydroxide concentrations, reduction temperature, reduction duration, dyeing time, and reduction-oxidation cycles, were optimized to enhance color strength. Results indicated that the most favorable reduction conditions were achieved when 80 g/L of thiourea dioxide and 2 g/L of sodium hydroxide were heated …

Eco-Friendly Synthesis Of Flower-Like Hierarchical Structure Of Cuo Nps For Advancing Photocatalytic Efficiency And Antibacterial Applications, Yodchai Tangjaideborisut, Shanmugam Shanmugam, Supakorn Boonyuen, Govindasamy Siva, Prema Yugala, Joon Ching Juan, Choowin Phanawansombat, Atchariya Pitintharangkul, Seerangaraj Vasantharaj, Pornpan Pungpo, Pariya Na Nakorn

Journal of Metals, Materials and Minerals

In recent decades, environmental pollution caused by organic dyes and pathogenic microorganisms has posed significant challenges to both ecological and public health. Therefore, the development of multifunctional materials capable of simultaneously degrading dyes and exhibiting antibacterial properties is crucial for effective environmental remediation. Combining photocatalytic dye degradation with antibacterial activity offers a promising approach to address these dual concerns in a single process. The present study investigates the copper oxide nanparticles (CuNPs) were prepared by green synthetic method using bamboo extract for degradation of methylene blue and in inactivation of biological pathogens. The green synthesized CuONPs were characterized various spectroscopic …

Enhancing Efficiency And Productivity Of Microbial Fuel Cells For Optimization Of Wastewater Treatment With Bioenergy Production, Diptimayee Pradhan, Krishna Pada Bauri, Debarpita Ghosal, Satchidananda Mishra, Abhijeet Das, Aditya Raj Singh, Akhil Gedela, Kumbhakarna Mallik, Mohammed Hassan Ali Hbag

Journal of Metals, Materials and Minerals

The primary objective is to remove the pollutants from the wastewater streams and reintegrate them into the water cycle, therefore safeguarding the environment and promoting public health. The utilization of membrane fuel cells (MFCs) enables the conversion of organic molecules present in wastewater into electrical energy, while concurrently generating potable water. To optimize the process, it is essential to understand the parameters that affect the performance and the relevant techniques such as electrode materials, microbial collectives, and operating settings to improve the efficiency and performance of MFC. Thus, it aims to present novel ideas that support the real-world deployment of …

Multi-Source Remote Sensing–Based Soil Moisture Prediction Using Machine Learning, Niraj Neupane

Electronic Theses and Dissertations

Soil moisture (SM) plays a central role in climatic and environmental processes, influencing shear strength of soil, agricultural productivity, land–atmosphere interactions, and hydrologic functioning. However, accurately estimating SM across diverse climatic regions remains challenging due to spatial heterogeneity, limited in situ measurements, and inconsistencies in sensor resolution. Machine learning (ML) and remote sensing offer promising avenues for improving SM prediction, yet many existing approaches struggle with generalization across climatic gradients and often fail to capture temporal variability. This study integrates multi-source satellite and climate datasets, including SMAP L4_SM, MODIS land surface temperature, Daymet meteorological variables, and in situ observations from …

Lorawan-Enabled Iot Solution For Smart Farming, Talha Khan

Electronic Theses and Dissertations

The rising global demand for food, driven by population growth, alongside a declining rural workforce, presents a great challenge for agriculture. Precision agriculture, which relies on the widespread adoption of smart farming technologies, is anticipated to enhance agricultural productivity and sustainability. Emerging technologies, such as machine vision, artificial intelligence (AI), and the Internet of Things (IoT), offer innovative and promising solutions to address these challenges. This study focuses on LoRaWAN, a prevalent Low-Power Wide-Area-Network (LPWAN) IoT technology, examining its application in crop and livestock farming as well as its associated cybersecurity challenges. LoRaWAN IoT systems were constructed for three application …