Digital Commons Network^™

Automatic Classification Of Orange Fruit Diseases Using Multilayer Deep Features And Traditional Machine Learning Classifiers, Maha A. Rajab, Faris Ali Jasim Shaban, Kadhim Mahdi Hashim

Mesopotamian Journal of Big Data

Citrus diseases are the main issue for agricultural productivity, which cause a reduction in yield and quality, thus causing economic loss; also, we see that traditional methods of diagnosis, which are very subjective and prone to error, and thus we need to suggest accurate automated detection systems. In this study, we present a hybrid model that integrates conventional machine learning with deep learning models. We used the Gray Level Co-occurrence Matrix (GLCM) for feature extraction, which is classified via machine learning algorithms like k-Nearest Neighbors (KNN), Decision Tree (DT), Linear Discriminant Analysis (LDA), and Random Forest (RF). At the same …

Continuous Deep Learning With Elastic Weight Consolidation For Robust Multi-Class Lung Cancer Diagnosis, Zainab Muhammed, Belal Al-Khateeb

Mesopotamian Journal of Big Data

Lung cancer is the leading cause of death by cancer in the world, thus demanding an urgent requirement for reliable and reproducible diagnostic tools for its early detection and differentiation into subtypes. Most classical deep learning methods suffer from catastrophic forgetting and have trouble with continuous learning, especially with an increasing amount of clinical data. This work investigates these issues by introducing a best multi-class lung cancer classification framework consisting of Residual Network architecture (Resnet-50) and Continuous Deep Learning (CDL), and Elastic Weight Consolidation (EWC). The proposed model was trained sequentially using two tasks: Task1 consisted of 6,800 histopathological images …

Vision Transformer Model For Multiclass Classification And Localization Of Thoracic Abnormalities In Chest X-Rays, Mohammed Ahmed Talab, Sumia Abdulhussien Razooqi Al-Obaidi, Othman I. Hammadi, Suryanti Awang, Nur Syafiqah Mohd Nafis, Hasan Kahtan

Mesopotamian Journal of Big Data

Chest X-rays (CXRs) have been utilized as an important tool for diagnosing thoracic diseases because of their cost-effectiveness and accessibility. However, subtle signs of diseases, anatomical overlap and lack of expert radiologist in certain areas lead to difficulty in reading the CXRs. This indicates the needs of automated diagnostic systems to be accurate. Existing deep learning methods have shortcomings because they require pixel-level annotations to train models well. To address this problem, this study proposes Vision Transformers (ViT) with transfer learning for multiclass classification and weakly supervised localization of thoracic diseases in chest X-ray images. The technique uses patching, positional …

Proactive Resilience Enhancement Through Optimal Allocation Of Fast Voltage Support Devices Under Critical Multi-Bus Contingencies, Sunday O. Adetona, Habib A. Adetona, Adeola O. Balogun, Frank N. Okafor, Samson A. Alayande

Engineering and Technology Journal

In this paper, a two-stage optimization scheme of proactive resilience of the transmission system to severe multi-bus contingencies is developed. A hybrid PSO-GSA-Quantum metaheuristic is used to find the 4-bus reactive fault clusters in the IEEE 118-bus system in stage 1. The cluster identified with the performance index (PI) of 1.8875 × 10³ has the 91.6th percentile of 10000 random Monte Carlo samples and 1.78 times worse than the worst N-1 contingency. The results of the Monte Carlo analysis indicate that the PI distribution is essentially bimodal (skewness = 0.5188, kurtosis = 3.2394) and the distribution is concentrated around …

Experimental And Ai-Based Simulation Study Of Photovoltaic Thermal Collector With Cooling Techniques Integrated Into A Hybrid Solar Chimney, Ayat Ahmed, Khalid F. Sultan

Engineering and Technology Journal

As a result of increasing demands of efficient renewable energy systems as well as the hazards posed by high operating temperatures of the photovoltaic modules, advanced cooling and heat recovery solutions are now necessary. The paper involves an experimental and AI-filed research on a solar collector (photovoltaic/thermal, PV/T) with a combination of a hybrid solar chimney (HSC) to improve the electrical and thermal efficiency in hot climatic conditions, under hot weather conditions. The system was examined using three cooling configurations: air cooling, water cooling, and combined bi-fluid cooling. Energy balance equations were developed to evaluate electrical and thermal efficiencies, and …

Evaluation Of Optimized Mechanical Properties Of Gum-Arabic/Powdered Pentaclethra Macrophylla Pod Brake Pad Composite., I. C. C. Iloabachie, A. M. Nwankwo

Engineering and Technology Journal

The mechanical properties of brake pad composites produced from powdered Pentaclethra macrophylla pod reinforced with gum Arabic resin were investigated. The pods were cleaned, air-dried, oven-dried at 110 °C to constant weight, pulverized, and sieved, after which a portion was carbonized at 950 °C. Composite formulation was carried out using a pre-impregnation technique, with the reinforcement content varied from 10 to 50 wt% at 10 wt% intervals, while other constituents were maintained constant. The composites were molded in a hot platen press using a 50 mm × 50 mm × 8 mm mold at 180 °C, a pressure of 15 …

``Comparative Study On Photo-Thermal Conversion Characteristics Of Selective Coatings Under Nir-Dominated Artificial Irradiation'', Saleh K. Jabur, Ahmed A. Al-Tabbakh, Layth Al-Gebory

Engineering and Technology Journal

This study reports an investigation of the photo-thermal conversion performance of nickel-reinforced composite coatings prepared from commercially available black paints under controlled artificial NIR-Dominated halogen irradiation source. Two coating matrices were employed: the first is a modified silicone resin with black manganese ferrite and chromite black, the second is acrylic resin containing carbon black (PBK7) coating. Both coatings were combined with nickel microparticles. The coatings were characterized using scanning electron microscope, electron energy dispersive spectrometer, and UV-Vis-NIR spectroscopy measurement to investigate their structural, morphological, compositional and optical properties. The Photo-thermal conversion performance was evaluated under irradiation from a tungsten-halogen lamp …

Effects Of Types And Amount Of Organic Matter On The Engineering Properties Of Soil, Afaq H. Malleh, Mohammed Y. Fattah, Hussein H. Karim

Engineering and Technology Journal

Organic soils exhibit highly variable geotechnical behavior due to differences in the type, content, and decomposition state of organic matter, which are often inadequately distinguished in engineering practice. This study investigates the influence of organic matter origin on soil behavior through a comparative analysis of sapric organic soils and sewage sludge soil tested under identical one-dimensional consolidation conditions. Laboratory tests included physical characterization, standard consolidation tests under vertical stresses of 200 kPa and 800 kPa, post-consolidation organic matter measurements, and microstructural analyses using SEM–EDS and XRD. The results show that increasing sapric organic matter content from 23% to 35% led …

A Systematic Review Of Mathematical Interpretations Of The Weton Marriage Tradition Within Islamic Cultural Contexts, Ratna Damayanti, Surya Sari Faradiba

Jurnal Pendidikan Sains

This study is grounded in the limited integration of mathematics, culture, and religion within academic discussions of local traditions, particularly the weton marriage calculation practice. It aims to explore the mathematical concepts embedded in weton calculations and to analyse these practices from an Islamic law perspective within an interdisciplinary framework. The study employs a Systematic Literature Review (SLR) method following the six-stage PRISMA 2020 protocol, including the formulation of research questions, development of a search strategy, application of inclusion and exclusion criteria, study selection, quality assessment, and thematic synthesis. Data were collected from Google Scholar and Garuda using the keywords …

Preferences For Mathematics And Science Education Majors Among Senior High School Students In Bataan, Zydrick L. Avelino

Jurnal Pendidikan Sains

This study examines the factors influencing Senior High School students’ preferences for Bachelor of Secondary Education (BSEd) majors in Bagac and Morong, Bataan, with particular focus on the low interest in Mathematics and Science specializations despite increasing demand for STEM educators. Using a descriptive quantitative design, data were collected from 369 students through a structured survey and analyzed using frequency and percentage distributions. The results reveal a strong preference for non-STEM majors, with Social Studies (42.12%) and English (35.04%) dominating, while Science (15.43%) and Mathematics (7.395%) received significantly lower interest. Personal interest emerged as the primary determinant (58.8%), followed by …

Peran Hukum Udara Dalam Pengaturan Dan Pengembangan Industri Pesawat Udara Di Indonesia+, Mieke Komar Kantaatmadja, S.H., M.C.L., C.N.

Jurnal Hukum & Pembangunan

Abstract

Hubungan Hukum Adat Dengan Hukum Islam, Prof. Dr. Soerjono Soekanto, S.H., M.A.

Jurnal Hukum & Pembangunan

Abstract

Komputer Untuk Ahli Hukum, J. Sudama Sasraandjaya, S.H.

Jurnal Hukum & Pembangunan

Abstract

Freedom Doesn't Knock, Emmah Schuster

Night Flight: Online Literary Journal

Freedom Doesn’t Knock follows Mara during the first day after leaving a strict religious community that once defined her entire life. Alone and uncertain, she moves through ordinary moments, ordering breakfast, sitting in a park, stepping into a clothing shop, that slowly reveal the emotional weight of losing her family and identity. Through these small but meaningful experiences, Mara begins to realize that freedom is not a single dramatic moment, but a series of quiet, uncertain steps toward rebuilding herself.

Together With Tosha Newsletter, February 2024, Tennessee. Department Of Labor & Workforce Development.

TOSHA Newsletter

No abstract provided.

Project Chimaera: Morphing Wing Technology, Evan Meyer, Joshua Shuster, Eric Rodarte, Jackson G. Schuler, Miguel A. Delgado

Student Research Symposium (SRS)

Project Chimaera seeks to advance aerodynamic design through the development of a morphing wing system that can alter its geometry to improve aerodynamic performance, efficiency during flight, and is capable of adapting to multiple flight regimes—subsonic, supersonic, and hypersonic. Through the integration of a tessellated tetrahedron truss structure with horizontal and vertical members comprising of linear actuators, the wing can alter its geometry and create large-scale, localized deformations. The linear actuators allow the wing to alter its twist, sweep, dihedral, and airfoil profile to optimize aerodynamic performance across varying speeds. The project includes the design and fabrication of a prototype …

Redbull Flugtag Non-Powered Single Passenger Glider Design, Vansh Varak, Peter Ulrich, Tanay Agarwal, Madison Warner, James Sackett, Stanlie Cerda-Cruz, Rohan Patel

Student Research Symposium (SRS)

The Flightless Eagles team designed and constructed a 22-foot human-powered glider for participation in the Red Bull Flugtag competition, integrating principles of aerodynamics, structural engineering, and creative design. The project emphasized a collaborative, iterative development process, from conceptual sketches and scaled models to full-scale fabrication and testing. Using lightweight materials and aerodynamic optimization techniques, the team sought to maximize glide performance while maintaining visual and structural creativity. This project served as an interdisciplinary exercise in teamwork, problem-solving, and hands-on engineering application, bridging theoretical design with real-world implementation.

Workplace Strain And Musculoskeletal Health In Nurses, Abriella Smith

Student Research Symposium (SRS)

Musculoskeletal disorders are common among healthcare professionals due to repetitive movement, prolonged standing, and physically demanding work environments. In nursing, these challenges are intensified by psychosocial stressors such as staffing shortages, role ambiguity, and increased cognitive workload. Ergonomic assessments using the Hand Threshold Limit Value (TLV) and Rapid Entire Body Assessment (REBA) revealed significant strain associated with patient transport, CPR, and extended administrative duties. The resulting discomfort contributes to chronic pain, fatigue, and decreased focus, which can impair overall job performance and long-term health. Implementing ergonomic interventions along with regular rest breaks and task rotation can alleviate physical strain, enhance …

Shoulder Ligament Instability In A Nuclear Watch Engineer: How Poor Equipment Conditions Lead To Increased Risk Of Musculoskeletal Disorder, Brianna Broderick

Student Research Symposium (SRS)

This case study focuses on a nuclear watch engineer, referred to as BC, and how his working conditions coupled with his pre-existing shoulder ligament instability lead to risk of physical injury. Analysis was done through two musculoskeletal disorder risk assessments and interviews focusing on background and psychosocial factors in the workplace. The main risk was associated with the plant’s equipment: poor placement led to shoulder, neck, and upper limb strain, and lack of maintenance led to strain via more force when trying to turn the valves. The high-pressure nature of his position and long working hours are also contributors. Recommended …

Additive Manufacturing Of Reinforced Polymer Matrix Composites: Strategies And Interfacial Challenges, Kamryn Hall

Student Research Symposium (SRS)

Additive manufacturing of fiber-reinforced polymer matrix composites enables the production of high-strength, low-weight structures for aerospace and industrial applications, but their performance is often degraded by deficient bonding at the polymer matrix-fiber interface. This study explores reinforcement processing, interfacial bonding, and modeling strategies that govern composite strength and reliability on the basis of a a literature review. Short and continuous fiber composites are contrasted among different AM processes where the stress transfer is reduced due to poor wetting, voids, and pull-out of fibers. Post-processing approaches like annealing and vacuum compression are presented to improve bonding and structural properties, and finite …

Aircraft Detail Design, Aden Parsons, Ethan Ford, Meghan Hosker, Troy Whitney

Student Research Symposium (SRS)

The Paladin Unmanned Combat Air Vehicle (UCAV) is a next-generation escort and protection platform developed by Team Charlie to enhance the survivability of high-value airborne assets such as tankers and transport aircraft. The project’s objective is to design an autonomous, multirole UAV capable of offensive and defensive operations in high-threat environments, providing persistent support to manned aircraft while reducing pilot risk and overall operational cost. Paladin represents a key evolution in the Air Force’s transition toward collaborative and networked airpower, aligning with emerging doctrines of manned–unmanned teaming. The aircraft features a single-engine, high-aspect-ratio delta wing configuration optimized for range, agility, …

Icarus-001 Detail Design, Luke Behringer, Dylan Nagowski, Joshua Bushong, Maximillian Kelderhouse

Student Research Symposium (SRS)

The Icarus-001 aircraft originated as a preliminary design project aimed at developing a hybrid-electric short takeoff and landing aircraft. The purpose of this aircraft was to maintain the ability to take-off and land within 500 feet, while being capable of different configurations to transport either 9 passengers or carry up to 3,000lbs of cargo. The aircraft must operate using a hybrid-electric system that is powered by one of VerdeGo Aero’s powerplant The result of these requirements is the design of Icarus-001, an aircraft with a wingspan of 68.75ft and 42ft long. It is capable of taking off at 468ft and …

F-33 Banshee, Andrew Morin, Margaret Cobb, Tyler Renick, Mason Brown, Gavin Gagnon, Edward Soldatov

Student Research Symposium (SRS)

The F-33 Banshee is a next-generation carrier-based multirole strike fighter designed to replace the aging F/A-18 fleet while addressing challenges of stealth, performance, and cost. Emphasizing low observability, high maneuverability, and operational flexibility, it combines proven propulsion with an aerodynamically efficient airframe. The configuration—mid-level wings, twin Pratt & Whitney F119-PW-100 engines, twin vertical stabilizers, and forward top-mounted inlets—was selected to optimize stealth, control, and carrier compatibility. Achieving a thrust-to-weight ratio of 1.04 in afterburner and a wing loading of 101.5 lb/ft², the Banshee offers superior agility and safe carrier approach speeds below 145 knots. Sensitivity studies identified an aspect ratio …

Budget Warthog, Erinco Caputo, Alexander Chidester, Parth Patel, Alexander Emmolo, Laurie Wagner

Student Research Symposium (SRS)

This project focuses on the conversion of the Cessna 208 Caravan into a cost-effective light-attack and support aircraft tailored for use in developing nations. The primary objective is to design, size, and analyze the structural components of the modified wing, pylon system, and mounting brackets using finite element analysis (FEA) based on real aircraft data. The study examines the integration of a dual gun system—two Dillon Aero DAP-6 pods—evaluating the structural response to recoil forces and added weight. Trade studies on materials and mounting configurations were conducted to optimize structural integrity, safety, and economic feasibility. The findings demonstrate that the …

Development Of A Hybrid-Electric Surveillance Aircraft, John Mcswiggin, Cooper Goodnight, Victor Kovich, Rowan Linkugel, Vikram Dwarakanath

Student Research Symposium (SRS)

The RS-1 Twilight is a hybrid-electric, endurance drone intended to meet VerdeGo Aero’s request for proposal (RFP) of a surveillance aircraft design using one of their hybrid-electric powerplants. This clean sheet design was created for one of Embry-Riddle Aeronautical University’s AE 420 Preliminary Design classes, intended to maintain 18+ hours of endurance, a combat radius of 200 nautical miles, and a useful load of 1,200+ pounds. Using textbook methods, aerodynamic simulations in open-source software, and insights from competitor aircraft, the RS-1’s sizing, performance, stability, and mission readiness were evaluated. Design iterations resulted in an unmanned aerial vehicle (UAV) featuring a …

Er-18 Jet Engine Rfp, Benjamin Lozano, Joseph Collins, Theodore Stangas, Michal Wlodarski

Student Research Symposium (SRS)

This report presents the preliminary design phase of the AE435-F25 Advanced Tactical Airlifter Propulsion System, developed in response to the Request for Proposal (RFP) for the ER-18, a large, next-generation, strategic, and tactical airlift platform. The customer’s needs emphasize reliable performance across a wide mission envelope, including short-field takeoff, heavy payload capability, long-range subsonic cruise, and loiter operations under standard conditions. After interpreting the RFP and evaluating potential propulsion configurations, our team determined that a high-bypass turbofan offers the best balance of efficiency, thrust performance, and operational flexibility to meet the airlifter’s requirements. The critical engineering parameters identified from this …

Integrated Computational And Experimental Analysis Of Turbine Aerodynamics, Kalkamanali Satvaldy, Anuranan Bharadwaj, Vincent Shi

Student Research Symposium (SRS)

This research presents an integrated study combining computational modeling and experimental validation to enhance the design and performance characterization of small-scale turbine systems. The theoretical component focuses on developing an object-oriented Python code for the preliminary design and performance prediction of radial turbines, capable of generating velocity triangles, thermodynamic properties, and geometric parameters from user-defined inputs. The tool employs Whitfield-based correlations and fundamental gas-dynamic relations to estimate exit flow parameters, work ratio, and efficiency, offering flexibility for expansion into geometry export and CAD integration. Complementing the computational model, the experimental component aims to improve the aerodynamic testing capabilities of the …

Vibration Control In Uavs For Enhanced Lidar Accuracy Using Metamaterials, Kylie Michaud

Student Research Symposium (SRS)

As technology develops, new systems are being created to deliver increased accuracy, cost-effectiveness, and overall efficiency. A specific example of this is LiDAR sensors onboard UAVs for 3D mapping applications of structures. As these sensors become lighter, this allows manufacturing to use smaller UAVs for closer and more confined environmental spaces. However, smaller UAVs introduce higher vibrational frequencies, those that current systems struggle to mitigate. The implementation of metamaterial structures can act as a dampener for these high frequency ranges. Metamaterials can be used to create bandgaps, which can enable frequency ranges that can prevent vibrations from affecting UAVs. Implementation …

Starlink-Based Navigation System For Fixed-Wing Uav, Aidan Panter, Spencer Richte, Ayse Okatan, Dylan Hardt, Oleg Sugatov, Eldon Crossett

Student Research Symposium (SRS)

Current Unmanned Aerial Vehicle (UAV) navigation and control systems in place for contemporary drones are mainly directed through Short Range Radio Frequency communications. The shortcoming of this technology is that it imposes limitations on UAV operational ranges as well as web-based controls. Currently, there are no UAVs that can provide a unified web-based platform for navigation and control to its users through an internet connection and our goal is to develop this platform. The proposed system combines satellite internet services via a Starlink Mini satellite terminal with a specially designed airframe capable of long-range UAV control via internet-enabled interfaces. In …

Reinforcement Learning - Driven Satellite Attitude Recovery: Unknown Faults, Simulation-To-Processor In Loop, Chinmay Mirji, Saeed A Ahmadi

Student Research Symposium (SRS)

Conventional attitude control algorithms often degrade when faced with actuator faults, sensor noise, or system uncertainties. This work presents a reinforcement-learning (RL) framework for satellite attitude recovery under unknown failures, focusing on real-time deployment through a processor-in-the-loop (PIL) setup. A continuous-control DDPG agent is trained in a high-fidelity Python/Basilisk simulation environment, where domain randomization captures variations in inertia, external torque, and actuator limitations to promote robust policy learning.