Digital Commons Network^™

Swindeitvit: A Soft Voting Vision Transformer Ensemble For Accurate And Explainable Solar Panel Fault Detection, Mahe Zabin

Turkish Journal of Electrical Engineering and Computer Sciences

Solar panels are becoming very essential in providing sustainable energy but they are usually affected by defects on the surface like dust, snow, bird droppings, physical damages and electrical faults which interfere with their performance. These faults must be identified accurately and in a timely manner to enhance energy efficiency, lower the maintenance cost, and supplement the traditional manual methods of inspection which are labor-intensive, time-consuming and subject to human errors in judgment. The most common methods, such as traditional CNNs and hybrid architectures tend to be less accurate, less explainable and cannot be properly evaluated to be deployed in …

Enhancement Of Nested Hexagonal Fractal Antenna Performance For Multiband Wireless Applications, Abdelbasset Azzouz, Rachid Bouhmidi, Mohammed Chetioui, Redouane Berber, Ahmed Jamal Abdullah Al-Gburi

Turkish Journal of Electrical Engineering and Computer Sciences

This work focuses on developing a compact multiband antenna to meet the growing demand for versatile and efficient radiating structures in modern wireless communication systems. A hexagonal fractal antenna is proposed and analyzed for applications such as mobile communications, WLAN, industrial, scientific and medical (ISM) bands, Wi-Fi, satellite links, radar systems, and military communications. By iteratively modifying the antenna geometry with larger hexagonal elements, the design enhances multiband behavior and improves key performance parameters including gain, S11, voltage standing wave ratio (VSWR), and radiation characteristics. The antenna is modeled using high-frequency structure simulator (HFSS)® and fabricated on a low-cost 0.8 …

Parameter Optimization Of Dual-Qsg Based Pll For Real-Time Control Of Grid-Connected Ev Chargers, Gaurav Yadav, Sudhanshu Mittal, Vineet Kumar, Sombir Kundu, Praveen Bansal

Turkish Journal of Electrical Engineering and Computer Sciences

Dual-Quadrature Signal Generator (D-QSG) based Phase lock loop (PLL) has been recently proposed to handle the nonideal grid voltage conditions. However, selecting the parameter for D-QSG based controller has been a great challenge, especially for higher-order systems. Inappropriate parameter selection tends to increase settling time both in terms of amplitude as well as harmonics attenuation. Hence, in the proposed work, the main focus is on parameter selection to achieve a faster response. Here, a fourth-order Quasi-Synchronous Generator has been realized by cascading the two nonidentical second order generalized integrators (NISOGIs). Furthermore, the parameters of both the NISOGIs are selected in …

Erratum To “Sgsc-Kko-Lstm: A Deeplearning Classifier Model For Smart Grid” [Turkish Journal Of Electrical Engineering & Computer Sciences 34 (2) 2026 185-213], Samaniba Imchen, Dushmanta Kumar Das

Turkish Journal of Electrical Engineering and Computer Sciences

The first and second authors were incorrectly ordered in the article PDF due to a typesetting error. To rectify this oversight and ensure the accuracy of the published work, the author order have been corrected as follows: 1. Samaniba Imchen – First Author 2. Dushmanta Kumar Das – Second Author

A link to the original article can be found at: https://doi.org/10.55730/1300-0632.4170

Mxene-Based Optical Fiber Sensors For Chemical And Biosensing: Review And Perspectives, Chen Zhu, Huaijun Guan, Chenxi Huang, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Chemistry Of Co2 Capture And Storage: From Molecular Interactions To Advanced Functional Materials, Nany Hairunisa, Hazim F. Abbas, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

In light of the industrial development taking place, the burning of fossil fuels for transportation and electricity generation, and the accompanying carbon dioxide emissions, there is an urgent and continuing need to innovate methods of capture and storage, as well as competitive materials to address increasing carbon emissions. This review describes the importance of this procedure and the technologies that help solve this problem, some of which have been adopted by many countries and industrial institutions and differ in their efficiency, cost, and applicability.

Influence Of Altitude On The Energy Payback Time Of Grid-Connected Photovoltaic Systems: A District-Level Analysis In Himachal Pradesh, India, Aniket Sharma, Mohinder Singh

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This study presents a district-level assessment of the influence of altitude on the Energy Payback Time (EPBT) of grid-connected photovoltaic (PV) systems in the Western Himalayan region of Himachal Pradesh, India. Although several studies have examined photovoltaic performance under different climatic conditions, systematic evaluation of altitude-sensitive EPBT using a standardized PV configuration remains limited for mountainous regions. A uniform 14.82 kWp polycrystalline PV system was simulated for twelve district headquarters representing elevations from 360 m to 3025 m above sea level using PVsyst software and Meteonorm meteorological data. Annual energy output and EPBT were evaluated under identical system configuration and …

Energy And Exergy Analysis Of Combined Cycle Power Plants: A Comprehensive Evaluation, Mohammad Ibrahim Hussein Hussein

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Evaluating the thermodynamic performance of combined cycle power plants (CCPPs) requires a comprehensive understanding of both energy quantity and energy quality across highly integrated components, including the gas turbine, heat recovery steam generator (HRSG), steam turbine, and condenser. This study presents a structured critical review of recent developments in energy and exergy analysis of CCPPs, covering studies published between 2001 and 2025. Unlike previous descriptive summaries, this work introduces a comparative synthesis framework that critically evaluates component-level losses, thermodynamic irreversibilities, and system optimization strategies across conventional and advanced CCPP configurations. The review shows that the condenser is the dominant source …

Mitigating The Effects Of Poor Power Quality Conditions Using Adaptive Model Predictive Current Control, B. O. Akinloye, B. G. Ologunwa, A. A. Okubanjo

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Permanent Magnet Synchronous Motors (PMSMs) are susceptible to performance degradation in applications with poor power quality, such as those found in regions with unstable electrical grids. Conventional control strategies often fail to maintain stability and efficiency under simultaneous voltage sags and harmonic distortions. This paper presents an adaptive Model Predictive Current Control (MPCC) framework designed to enhance the resilience of PMSM drives under such composite disturbances. The proposed strategy integrates three key mechanisms: a real-time voltage sag compensation module that adjusts current references and employs flux-weakening, a multivector-based harmonic mitigation technique embedded within the predictive cost function, and a thermal …

Cybersecurity Governance Of Industrial Iot In Sub-Saharan Africa: Policy Gaps, Threat Landscape, And Lessons From Comparative African Contexts, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The rapid deployment of Industrial Internet of Things (IIoT) systems across Sub-Saharan Africa's extractive, energy, logistics, and agro-industrial sectors has introduced a cybersecurity challenge of growing urgency: industrial networks that were designed for operational efficiency are increasingly exposed to cyber threats for which neither the organizations nor the regulatory frameworks are adequately prepared. This article examines the cybersecurity governance of IIoT systems in a developing African economy, using Mozambique as a primary case study and drawing comparative lessons from South Africa, Rwanda, and Kenya. Through an integrative literature review and documentary analysis of national digital, cybersecurity, and industrial policies, the …

Assessing Computer Vision Based Conflict Detection In Uas Traffic Monitoring Under Secure Communication Constraints, Fadjimata Issoufou Anaroua

Doctoral Dissertations and Master's Theses

The rapid growth of Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) is creating a new low-altitude airspace ecosystem where drones, air taxis, service suppliers, communication networks, sensors, and ground-based monitoring systems must work together safely. Within this ecosystem, UAS Traffic Management (UTM) is expected to provide a digital framework for coordinating operations beyond traditional air traffic control. However, reliable integration also requires resilient monitoring methods that can detect non-cooperative aircraft, protect communication links, and maintain timely situational awareness under real-world constraints.

This dissertation examines how computer vision can support cooperative monitoring systems such as Remote ID and ADS-B …

Feasibility Of Using Untreated And Treated Rice Straw Fibers As A Modifier For Hot Mix Asphalt, Aditya Chowdhury

Civil Engineering Theses

Flexible pavements are subject to progressive deterioration driven by repeated traffic loading, environmental exposure, and material degradation, which causes distress. This study presents an integrated research framework that combines laboratory performance evaluation of rice straw fiber (RSF)-modified hot mix asphalt with machine learning-based pavement distress prediction to advance sustainable pavements. Three plant-produced HMA mixtures were modified with untreated and alkali-treated RSF at dosage levels of 0.2%, 0.4%, and 0.6% by total mixture weight. FTIR spectroscopic analysis confirmed that alkali treatment induced significant chemical modifications to the fiber surface, increasing hydroxyl group availability and enhancing fiber–binder adhesion. Alkali-treated RSF consistently outperformed …

Incorporating Increased Road User Costs Into Pavement Management Modeling: A Case Study Of Two-Lane Rural Highways, Khaled A. Abaza, Mohamed S. Yamany

Faculty Publications

The impact of increased road user costs on optimal pavement rehabilitation plans has been investigated using a simplified pavement management model. The increased road user costs include elevated vehicle operating costs (VOCs) due to work-zone lane closures and traveling on severely deteriorated pavements. A model is proposed for estimating the VOC for work-zone lane closures on two-lane rural highways, considering both stopping and idling costs. Another model for approximating the increased VOC associated with driving on poor/bad pavements is suggested as a function of the relevant VOC rate and a proportionality factor. Sample results are presented for a two-lane rural …

Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof

Journal of Cybersecurity Education, Research and Practice

The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates …

Direct Measurement Of Stem Position For Gas-Lift Valves While Flowing At High Pressure, Paulo E. Reitz

LSU Master's Theses

The present work challenges the idea of estimating the gas lift valves true dynamic stem position by providing an alternative capable of tracking the real stem position during flow tests. This is of interest for the improvement of performance determination tests and procedures that involve critical safety concerns, complex training and considerable investments, both in time and money. This scenario, together with the strong interest of industry for valve optimization and the scarcity of works available in literature, encouraged this study. An apparatus named Vision System was developed for tracking and measuring the stem position during flow tests. The developed …

Design, Fabrication, And Performance Evaluation Of A Recycling Machine For Converting Biodegradable Waste Into Compost, Mohamed T. Eraky, M.M Radwan, Abdelkhalik Eladl

Mansoura Engineering Journal

This study evaluates the technical feasibility of composting shredded printed paper blended with organic waste using a manually operated aerobic composting system. The investigation focused on process performance under controlled initial conditions, particularly an optimized carbon-to-nitrogen (C:N) ratio of 30:1. Three composting piles were constructed with systematic variations in moisture content, aeration frequency, and additive composition (poultry manure, yeast, crushed eggshells, and cardboard) to assess their influence on thermal behavior and decomposition efficiency. Process performance was monitored through continuous temperature profiling and periodic observation of physical parameters, including color development and material degradation rate. Among the experimental setups, Pile 3 …

Evaluation Of Optimal Force For Intrusion Of A Periodontally Compromised Maxillary Anterior Dentition Treated With Fixed Orthodontics – A Finite Element Analysis, Tanzim Ahmed, Amrita Puri, Aatira Nair, Anshul Singla, Mathew Koshy Vaidyan, Shruti Sharma, Chhavi Singh

International Arab Journal of Dentistry

Introduction: Adult orthodontic treatment is increasingly sought due to aesthetic and functional concerns, often involving periodontally compromised patients with altered biomechanics. Reduced bone support shifts the center of resistance and necessitates lower, carefully controlled forces, while finite element modeling has become a key tool to analyze tissue response under such conditions.

Objectives: The study aimed to determine the optimal intrusive force for periodontally compromised maxillary anterior teeth using Finite Element Analysis (FEA).

Methods: A 3D finite element model of the maxillary anterior dentition was created and divided into healthy and compromised halves, the latter with one-third alveolar bone loss. A …

Effect Of Naoh Concentration On The Structural, Morphological, And Tensile Properties Of Pineapple Stem Fibers, Ahmad Norca Kurnia Zen, Heru Suryanto, Aminnudin Aminnudin, Fajar Nusantara, Joseph Selvi Binoj

Journal of Mechanical Engineering Science and Technology (JMEST)

Natural fiber reinforced composites are increasingly being developed due to their environmentally friendly nature, low production costs, and safety for human health. However, the presence of lignin and hemicellulose reduces adhesion properties between fiber and composite matrix. Alkalization treatment is an effective way to remove lignin and hemicellulose attached to cellulose. This study aims to determine the optimum concentration of NaOH used during alkalization process of pineapple stem fiber. The methods included the retting process of fibers from pineapple stems. The obtained fibers were soaked in variations of 2%, 4%, 6%, and 8% NaOH for 4 hours,  then dried and …

Fuel Tank Seismic Stability Program-Informed Displacement Maps Of Portland's Critical Energy Infrastructure Hub, Ana Tijerina Esquino

Dissertations and Theses

Oregon's Critical Energy Infrastructure (CEI) Hub in northwest Portland contains a large portion of the state's liquid fuel storage and distribution capacity and is located in an area susceptible to liquefaction and earthquake-induced permanent ground deformation during a Cascadia Subduction Zone earthquake. Initial Seismic Vulnerability Assessments submitted under Oregon's Fuel Tank Seismic Stability program provide valuable facility-specific information, but the assessments vary in subsurface characterization, treatment of fine-grained soils, ground motion selection, and deformation estimation methods. This variability complicates interpretation of regional seismic risk and motivates a consistent corridor-scale analysis.

This thesis develops CPT-informed displacement estimates for representative cross sections …

Multifunctional Engineering Of Manganese Malate For Supercapacitors, Krithika M Ms

Theses and Dissertations

Supercapacitors are promising energy storage devices owing to their rapid charge-discharge capability and long cycle-life. Based on the charge storage mechanism, supercapacitors are broadly categorised into electric double-layer capacitors (EDLCs), pseudocapacitors and hybrid capacitors. In this work, manganese malate (MnM) is systematically developed as a versatile electrode material for supercapacitor applications through rational synthesis, textural engineering, compositional modification, phase transformation and sustainable resource utilisation.

In Chapter 2, MnM was electrodeposited onto stainless-steel foil via chronoamperometry at 2, 3 and 4 V. MnM electrodeposited at 2 V (MnM2) exhibits a specific capacitance of 186 F g-1 at 1 A g-1 with …

Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed

Publications and Research

Despite increasing analytical sophistication, empirical research in organization studies continues to suffer from fragile inference, uneven theoretical accumulation, and contested credibility. This paper seeks to explain why these problems persist by shifting attention from authors’ methodological choices to the evaluative dynamics of peer review. Adopting a conceptual and theory-analytic approach, the paper theorizes peer review as an inferential gatekeeping system. Drawing on research design, theory evaluation, and philosophy-of-science literatures, this study develops an analytical framework to examine how evaluative routines shape what constitutes empirical rigor during the review process. The analysis identifies five recurring reviewer blind spots: inferential scope inflation, …

Antropometri Tangan Penduduk Kota Ambon Sebagai Dasar Perancangan Ergonomis, Puan Maryam Leaongso, Wilma Latuny, Aminah Soleman

National Journal of Occupational Health and Safety

The limited availability of hand anthropometric data for the Indonesian population, particularly for the residents of Ambon City, may affect the accuracy of designing ergonomic products, work equipment, and public facilities. This study aimed to measure and analyze 25 hand dimensions of the Ambon City population based on gender and age, and to compare the measurement results with national anthropometric data. This research employed a quantitative method with a descriptive design through an anthropometric approach. Data were collected directly from 200 respondents, consisting of 100 females (aged 18–40 years) and 100 males (aged 20–40 years). Data analysis was performed using …

Analysis Of Technology Introduction And Re-Innovation Models Of Chinese Enterprises Based On Transnational Patent Transfer Data: A Case Study Of Strategic Emerging Industries In Shandong Province, Kun Dong, Kexin Chen, Qingxiu Mu, Zihang Cui

Journal of Scientific Information Research

[Purpose/significance] Technology introduction re-innovation is the key path for enterprises to quickly acquire advanced technologies and transform them into independent innovation advantages, which is of great significance in promoting the upgrading of the national technology innovation system and enhancing industrial competitiveness. [Method/process] This article proposes a specific approach for analyzing the technology introduction and re-innovation model of enterprises based on cros-border patent transfer data, and takes strategic emerging industries in Shandong Province as an example for empirical research, then proposes the selection strategies for enterprises technology introduction re-innovation models. [Result/conclusion] Research shows that strategic emerging industry enterprises in Shandong Province …

Gust-Induced Aerodynamic Performance In Insects' Forward Flapping Flight, Arash Farsani, Ori Stearns, Gal Ribak, Roi Gurka

Physics and Engineering Science

Flapping-wing flight is inherently unsteady, where atmospheric gusts can substantially degrade the aerodynamic performance when their characteristic time scales are comparable to the wingbeat period. This study presents a numerical investigation and time–frequency characterization of gust-induced aerodynamic response of flapping wings of varying size, inspired by the flight of a longhorn beetle, Batocera rufomaculata. Geometrically similar wings spanning the biological range were simulated in forward flight under identical prescribed kinematics and a transient frontal gust with a smoothly ramped profile. Three-dimensional unsteady Reynolds-averaged Navier–Stokes simulations using the shear stress transport k–ω turbulence model were performed to resolve the instantaneous pressure …

Upar-Guided Dendrimer Gel Nanoparticles Reprogram Inflammation To Stabilize Atherosclerotic Plaques, Hsin Yin Chuang, Huari Kou, Yue-Wern Huang, Hu Yang

Biological Sciences Faculty Research & Creative Works

Atherosclerosis is characterized by lipid deposition, chronic inflammation, and apoptosis within the arterial wall, leading to plaque progression and instability. Current lipid-lowering therapies fail to fully address residual cardiovascular risk driven by local inflammation and cell death. Here, we report the development of uPA-functionalized, rapamycin-encapsulated dendrimer nanoparticles (G5PM-uPA/RA) that preferentially accumulate in urokinase plasminogen activator receptor (uPAR)-enriched atherosclerotic plaque, including macrophage- and apoptosis-rich lesion microenvironments. G5PM-uPA/RA was constructed by cross-linking reaction-enabled flash nanoprecipitation in a custom-made multi-inlet vortex mixer, followed by thiol-maleimide conjugation of uPA for uPAR-guided targeting. The nanoparticles demonstrated uniform morphology, favorable stability, and efficient rapamycin loading. In …

Comparative Lca Of Germanium Production From Coal Fly Ash Using Chlorinated Distillation And Solvent Extraction, Dennis Dadzie, Kwame Awuah-Offei, Michael Moats, Nasib Al Habib, Weston Hartzell

Mining Engineering Faculty Research & Creative Works

Germanium is increasingly important for high-tech applications, yet its supply chain is vulnerable, with production limited to a few countries. Although prior research has explored alternative techniques for extracting and recovering germanium, the literature lacks comparative life-cycle evidence that quantifies their environmental burdens and translates findings into actionable (policy) recommendations. This paper presents a cradle-to-gate life-cycle assessment that compares the environmental burdens of producing 1 kg of single-crystal germanium from coal fly ash via chlorinated distillation (CD) and solvent extraction (SX). Under the study's assumptions, CD has lower potential impacts in 15 of 19 impact categories, while both routes show …

Electrospinning Of Covalent Organic Frameworks (Cofs) For Adsorption Of Heavy Metal Ions, Samar A. Salim

Nanotechnology Research Centre

This study reported the synthesis, electrospinning, and heavy metal adsorption of covalent organic frameworks (COFs) integrated into poly(methyl methacrylate) (PMMA) nanofibers. COF-1 and COF-2 were synthesized by solvothermal and reflux techniques, respectively, and subsequently incorporated into PMMA via electrospinning with different loadings (0.1%, 0.5%, and 1.0%). The synthesized PMMA_COF nanofibers were analyzed utilizing X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), and diffuse reflectance spectroscopy (DRS). PMMA_COF nanofibers with fiber diameters of 350-450 nm were obtained. The structural and morphological investigations validated the effective integration of COFs into the PMMA matrix, with COF-1 demonstrating superior dispersion …

Pseudodifferential Absorbing Boundary Conditions For Waves, Lauren Taylor

Mechanical Engineering Theses

Absorbing boundary conditions (ABCs) are required to truncate the computational domain when performing Finite Element Analyses of exterior acoustic problems where physical domain is unbounded. ABC is applied on a fictitious boundary containing the scatterer and ideally allows outgoing waves to leave without non-physical reflections. Preventing artificial reflections is essential to benefit from the accuracy of the numerical method used. Otherwise, ABC acts as a reflective surface, and artificial reflections distort the solution in the entire domain which is not recoverable by any type of refinement. Pseudodifferential ABCs were used to describe the Dirichlet-to-Neumann map which maps known boundary values …

Coherent Two-Photon Backscattering And Induced Angular Quantum Correlations In Multiple-Scattered Two-Photon States Of The Light, Nooshin M. Estakhri, Theodore B. Norris

Engineering Faculty Articles and Research

We present the emergence of coherent two-photon backscattering, a manifestation of weak localization, in multiple scattering of maximally entangled pure and fully mixed two-photon states and examine the effect of entanglement and classical correlations. Quantum correlations in backscattering are investigated for finite three-dimensional disordered structures in the weak localization regime, as well as systems of a small number of scatterers with specified spatial arrangements. No assumptions are made about the statistical behavior of the scattering matrix elements. Furthermore, we study the interplay between quantum correlations induced by multiple scattering and the correlations that may be present in the illumination fields, …

Enhanced Intrusion Detection Using Recurrent Neural Networks With Amino Acid Codon Features, Omar Fitian Rashid, Mohammed Ahmed Subhi, Safa Ahmed Abdulsahib, Mohammed Khaleel Hussein, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

Intrusion Detection Systems (IDS) is the main defense mechanism deployed by the current networks to prevent cyber threats. Recurrent Neural Network (RNN) are also a novel IDS structure that replaces the conventional training and testing mechanism. The strategy encodes network traffic data as biological sequences using amino acid codons in such a fashion that the RNN is capable of effectively analyzing temporal and sequence data patterns. RNN architecture design adopts embedding layers to handle codon representations and Long Short-Term Memory (LSTM) layers to perform sequential data learning, which is followed by a fully connected network to perform classification functions, which …