Engineering Commons^™

Kinetic Study Of Oil–Water Separation In A Dual Port Inlet Cyclone Separator, Ikhwanul Qiram, Agung Nugroho

Journal of Mechanical Engineering Science and Technology (JMEST)

In this study, a Computational Fluid Dynamics method is used to investigate the oil–water separation kinetics in a dual-port inlet cyclone separator. This was achieved using the Reynolds Stress Model coupled to an Eulerian multiphase framework. Three Reynolds numbers were studied (Re = 1.41×10⁵, 1.94×10⁵ and 2.52×10⁵) to analyse the flow; axial velocity distribution, vortex stability, radial migration velocity and separation efficiency were examined individually. Results indicate that both the radial migration velocity (vᵣ) and separation probability (p_remove) grow with Reynolds number, especially for larger oil droplets (10–100 µm). The best condition concerned is that …

Adapting Independent Large-Scale Pretrained Models For Human Action Recognition, Selen Pehli̇van

Turkish Journal of Electrical Engineering and Computer Sciences

Transferring knowledge from large-scale, independently pretrained image and text models to video understanding requires addressing several challenges, including maintaining generalization capabilities of models, integrating them into multimodal architectures, and fine-tuning with temporal dynamics. This study evaluates the effectiveness of parameter-efficient fine-tuning (PEFT) techniques in transferring pretrained knowledge from two independent models for video action recognition within a simple, streamlined multimodal fusion pipeline. Specifically, we adapt CLIP as the text branch and DINOv2 as the image branch, keeping both backbones frozen to preserve their pretrained robustness, while introducing lightweight, task-specific modules to adapt and fuse the branches with temporal dynamics. A …

A Descriptive Analysis Of Plant Leaf Disease Detection Using Machine Learning And Deep Learning Models: A Systematic Review, Arzoo Chamoli, Anuj Kumar

Turkish Journal of Electrical Engineering and Computer Sciences

Plant leaf disease detection (PLDD) is a growing active research area with burgeoning practical applications across various sectors such as agricultural monitoring, food security, and environmental conservation. Accurate segmentation and classification of plant leaf diseases remains a key challenge in the field of plant leaf disease prediction. The challenge demands automated methods for the plant disease identification because it needs to develop better crop management systems, which will boost agricultural production. In this article, we provide a systematic review of various machine learning (ML) and deep learning (DL) methods extensively used for PLDD. The review strategy follows a formal protocol, …

Complex-Valued Convolutional Neural Network With Time-Frequency Representation For Electrocardiogram-Based Arrhythmia Detection, Kajeeth Kumar Gurusamy, Muthurajkumar Sannasy

Turkish Journal of Electrical Engineering and Computer Sciences

This research proposes an end-to-end procedure for arrhythmia detection based on electrocardiogram (ECG) signals using complex-valued convolutional neural network (CVCNN) incorporated with time-frequency representation. The proposed model leverages complex numbers to capture amplitude and phase information that enhances the ability of the model for detecting time-frequency variation in cardiac signals. First, signal preprocessing techniques---including normalization, wavelet denoising, and R-peak detection---are applied. Subsequently, the model extracts complex features from raw ECG data by employing the Hilbert transform to derive the analytic signal and the short-time Fourier transform (STFT) to generate a time–frequency representation. The proposed CVCNN framework effectively learns spatial-temporal features …

Multiobjective Optimization Framework For Renewable Energy Iot Networks Balancing Security, Energy Efficiency, And Communication Reliability, Muhammad Hjouj Btoush, Ashraf S. Mashaleh, Amjad Gawanmeh

Turkish Journal of Electrical Engineering and Computer Sciences

The deployment of Internet of things (IoT) networks powered by renewable energy sources presents unique challenges in balancing security requirements, energy efficiency, and communication reliability. This paper presents a comprehensive multiobjective optimization framework for secure renewable energy IoT nodes that addresses fundamental trade-offs between these competing objectives. We develop a mathematical model incorporating energy harvesting dynamics, security protocols, and communication performance metrics across various environmental scenarios. The proposed framework employs a modified NSGA-II algorithm to identify Pareto-optimal configurations for different deployment contexts. Through extensive simulation analysis, we demonstrate that hybrid energy sources (solar-wind combinations) with lightweight security protocols achieve optimal …

Predictive Current Control Approach For Grid-Integrated Multifunctional Converter Under Source And Load Disturbances, Ravi Kumar Majji, Tirumalasetty Chiranjeevi, Chilukoti Varaha Narasimha Raja, Nagulapati Kiran

Turkish Journal of Electrical Engineering and Computer Sciences

This paper discusses and presents a model predictive control (MPC)-based predictive current control technique for a solar photovoltaic (PV)-integrated grid system during dynamic operation. This control technique employs extension pq (EPQ) theory to estimate reference currents and utilizes an MPC framework for tracking reference currents. Various MATLAB/Simulink simulations were conducted for solar PV generation (source disturbances) and dynamic loading. The results of the OPAL-RT OP4510 real-time simulation are also presented. A multifunctional grid-integrated converter (MFGC) integrates solar active power into the utility grid while achieving unity power factor, reactive power compensation, current balancing, and harmonic suppression. EPQ optimizes mathematical calculations, …

Classification Of Hif Detection In Nev Profile Using Wavelet Transform And Convolution Neural Network, Abdul Hafiz Kassim, Mohd Abdul Talib Mat Yusoh, Aster Smith Valentinie Wilson Nottelmarc, Ahmad Farid Abidin, Sim Sy Yi, Daw Saleh Sasi Mohammed

Turkish Journal of Electrical Engineering and Computer Sciences

High impedance faults (HIFs) present a critical challenge in power systems due to their subtle signal characteristics, which often remain undetected by conventional protection methods. These faults typically do not produce significant phase disturbances, making reliable detection difficult. However, analysis of the neutral-to-earth voltage (NEV) profile under fault conditions provides a promising alternative for fault identification. Existing approaches for detecting and classifying HIFs using NEV signals remain limited and may result in inaccurate maintenance decisions. This paper proposes a fault classification framework for multiple fault types, including HIF, three-phase fault, three-phase fault to ground, double line, double line to ground, …

Accurate Diagnosis Of Diseases By A Novel Ai Pipeline Based On Feature Extraction, Feature Ranking, And Feature Selection From Medical Images, Tuğba Nur Bozkurt, Mehmet Emi̇n Yüksel

Turkish Journal of Electrical Engineering and Computer Sciences

The rapid growth of the global population has led to a substantial increase in the number of patients, while the availability of healthcare professionals has not expanded at a comparable rate. This imbalance highlights the urgent need for efficient and reliable computer-aided decision support systems that can reduce clinical workload while maintaining high diagnostic accuracy. In this study, a novel and systematically integrated artificial intelligence-based pipeline is proposed for medical image classification, combining statistical significance-driven feature ranking with evolutionary feature selection in a unified framework. The proposed pipeline consists of four sequential stages: feature extraction, ranking, selection, and classification. Features …

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control For Robotic Manipulators Based On Disturbance Observer, Xin Zhang, Xu Wang

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an adaptive backstepping nonsingular fast terminal sliding mode controller integrated with a nonlinear disturbance observer to achieve precise trajectory tracking of robotic manipulators subject to model uncertainties and unknown time-varying disturbances. A dead-zone–based adaptive gain mechanism is introduced to dynamically adjust the control gain according to the deviation of the sliding surface, thereby enhancing robustness and reducing chattering. The proposed reaching law ensures fast, nonsingular, and adaptive convergence, suppressing high-frequency oscillations without compromising stability and the nonlinear disturbance observer enables real-time estimation and compensation of modeling errors, friction, and external disturbances for superior rejection. The semiglobal uniform …

Chaotic Artificial Bee Colony-Optimized Stacking Ensemble For Robust Multifault Diagnosis Of Wind Turbines, Veilraj Revathi, Solaimalai Jeyadevi, Madasamy Sudalaimani

Turkish Journal of Electrical Engineering and Computer Sciences

The complex electromechanical structure of wind turbines, along with harsh operating conditions, poses significant challenges for precise and robust fault diagnosis. To address this challenge, an ensemble multifault diagnostic framework based on an adaptive chaotic artificial bee colony (C-ABC)-optimized support vector machine (SVM) and gradient boosting machine (GBM) is proposed. In the proposed framework, data redundancy and overfitting are reduced through a two-stage hybrid filter-transformer-based feature reduction approach using ReliefF, followed by Principal Component Analysis. The chaos function of the proposed C-ABC maintains an adaptive balance between the exploration and exploitation phases, thereby preventing premature convergence, which is a common …

Descriptive Analysis Of Career Planning And Industry Insight (Cognitive Component) Among Final-Year Mechanical Engineering Education Students, Fadliyanti Firdausia, Purnomo Purnomo, Eddy Sutadji, Tommy Tanu Wijaya, Muhammad Idris Effendi

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study aims to analyze the level of understanding of final-year Mechanical

Engineering Education students regarding career planning and industry insight as

cognitive components in preparing for the workforce. The study employed a quantitative

approach with a descriptive method involving 58 eighth-semester students who had

completed industrial internships. Data were collected using a Likert-scale questionnaire

consisting of 20 items on career planning and 18 items on industry insight, and were

analyzed using descriptive statistics, including mean scores and percentages. The results

indicate that students’ understanding of career planning falls into the high category, with

a mean score of 3.78, while …

Sorption And Thermal Conductivity Of Concrete Containing Aggregates Of E-Waste, Rakesh Kumar Saini, Praveen Kumar

Journal of Sustainable Construction Materials and Technologies

In many parts of the world, substantial energy is used to maintain comfortable temperatures in inner parts of the buildings for living and working. Construction materials with low thermal conductivity, if used in the exterior walls and façade etc. in such structures can be useful in lowering the energy demand. On the other hand, moisture ingress through sorption is a common factor contributing in degradation of concrete structures with time. Constituents of concrete may be engineered to some extent to get both the desired attributes, lower thermal conductivity and sorption than normal concrete. The rapid increase in electronic waste, or …

Thermal Transient Analysis Of Mahogany Wood Biomass Pyrolysis: The Role Of Zeolite Catalyst Variations On Temperature Distribution, Yusri Yusri, Widya Wijayanti, Mega Nur Sasongko

Journal of Mechanical Engineering Science and Technology (JMEST)

Biomass pyrolysis is a thermochemical process that converts waste into fuel. The use of zeolite catalysts can enhance efficiency by accelerating biomass decomposition. To demonstrate its effect, thermal simulations were conducted using ANSYS Thermal Transient to analyze temperature distribution, reaction rates, and catalyst effectiveness in the pyrolysis process. This study aims to improve thermal efficiency and temperature uniformity by analyzing the effect of 10% and 20% zeolite mixtures on heat distribution and heating rates at input temperatures of 650 K, 750 K, and 850 K, using the 2D axial symmetry method. The simulation was performed under specific boundary conditions: input …

High-Surface-Area Ficus Leaf-Extracted Cuo-Zno-Nio Ternary Nanocomposites For Rapid Adsorption-Assisted Uv-A Degradation Of Direct Blue 15, Kafa’A H. Ali, Mohammed A. Atiya, Ahmed K. Hassan

Karbala International Journal of Modern Science

Direct Blue 15 (DB15) is a long-lasting synthetic dye that pollutes water and is difficult to remove during wastewater treatment. Conventional treatments fail to remove DB15 adequately due to rapid electron-hole recombination, which necessitates photocatalysts with reduced recombination rates for effective dye removal. The study aims to synthesize and evaluate a CuO-ZnO-NiO ternary system as an integrated adsorption and UV-A photocatalysis platform for DB15 removal. Ficus leaf-extracted CuO-ZnO-NiO nanocomposites with four Cu:Zn:Ni ratios (1:1:1, 1:1:2, 1:2:1, 2:1:1) were prepared by co-precipitation, followed by extensive chemical and physical characterization and dye-removal performance measurements. The CuO-ZnO-NiO nanocomposite exhibited hexagonal zinc oxide, cubic …

Karstic Cavities Underground Investigation: Gpr And Geotechnical Data Correlation, Mehrez Jamei, Mabrouk Abdelkader, Anwar Ahmed, Yahya Alassaf

Journal of Sustainable Mining

This paper focuses on the methodology involving ground penetration radar (GPR) for detecting and localizing random cavities in underground limestone soil, in conjunction with geotechnical data. A GPR survey was conducted alongside field and laboratory geotechnical tests at a field where mining activities are now promoted (Saudi Arabia Northern Borders Province). The paper presents correlations between the instantaneous amplitude of the reflected electromagnetic (EM) waves and rock quantification distributed (RQD), recovery rock parameter (REC), and uniaxial compressive strength (UCS). The GPR investigation proved to be an efficient nondestructive geophysical method for determining: 1) the …

The Pebble In The Shoe, Marcos Fernandez Tous

The Cicadian

This piece offers an introspective reflection by an educator at the University of North Dakota, blending phenomenological perspectives on the nature of education with the embodied experience of participating in a sweat lodge. Framed by a meandering walk across campus, the narrative interweaves several thematic threads: the tension between clarification and explanation, the values that should guide technology education, and the role of nature with its inherent, chaotic vitality. Although the text adopts a stream‑of‑consciousness approach, it does so without leaning on the established stylistic traditions of Proust, Joyce, or Faulkner. The work is also poetic in tone, suggesting that …

Green Infrastructure As A Strategy For Revitalizing Old Residential Neighborhoods: Evaluation Of Carbon Footprint And Energy Performance - Case Study Of Heliopolis, Cairo, Ahmad Abouisaadat, Eman Gameel, Shoroq Adel

Mansoura Engineering Journal

This study aims to address the challenge of reducing energy consumption and greenhouse gas (GHG) emissions in urban areas, particularly in aging residential neighborhoods. Despite the benefits of Urban Green Infrastructure (UGI) and residential retrofitting, current research often examines these strategies separately, leaving a gap in understanding their combined impact at the district scale. The research proposes a methodology that integrates GIS-based spatial analysis, Urban Building Energy Modeling (UBEM), and Life Cycle Assessment (LCA) to evaluate the effects of UGI (e.g., green roofs, urban trees) and retrofitting strategies on energy use, CO2 reduction, and urban microclimates. The study will provide …

Response Surface Modelling And Multi-Objective Optimisation Of Asphalt Binder And Mixture Properties Modified With Reclaimed Automotive Lubricants And Waste Glass Bottle Powder, Nura Shehu Aliyu Yaro, Jacob Adedayo Adedeji, Luvuno Nkosinathi Jele, Nasir Khan, Aliyu Usman, Jacob Olumuyiwa Ikotun

Journal of Sustainable Construction Materials and Technologies

Large volumes of reclaimed automotive lubricant (RAL) and waste glass bottle powder (WGBP) are disposed of inappropriately, causing serious environmental concerns. Furthermore, the paradigm shift towards sustainability in the pavement industry has prompted academics to investigate alternatives to conventional materials. As a result, one possible approach is to use these waste products as alternative materials in the asphalt pavement sector. This study investigated the combined use of RAL and WGBP as complementary modifiers, extending beyond the conventional single-modifier approaches reported in previous studies. Thus, in this study, response surface methodology (RSM) was utilised to optimise and predict the synergistic effects …

Riki&Dolphin: Real Time Data Transmission From The Bottom Of A Cave To A Website, Luca Tringali, Giacomo Canciani Dr., Tecla Tripari, Alexander Debenjak, Caterina Bearzotti

International Journal of Speleology

Coming from over 10 years of experience in cave monitoring in northeast Italy, Gruppo Speleologico Talpe del Carso, has designed Riki and Dolphin: customizable, low cost, and easy to assemble tools for getting real time data transmission from the bottom of a cave, even underwater, to a webserver. Their use has been tested to monitor air temperature inside the Abisso Bonetti Cave (Classical Karst, Italy), proving for the first time that a cave in Gorizian Karst can systematically be colder than the outdoor temperature even in winter, recording an internal temperature even lower than 0°C. The Dolphin device can be …

Integrated Solar And Regenerative Braking System For Off-Grid Charging Of An Electric Motorcycle, Christian Soolany, Dhimas Oki Permata Aji, Sigit Suwarto, Setya Permana Sutisna, Furqon Furqon

Journal of Mechanical Engineering Science and Technology (JMEST)

This study introduces an off-grid charging system developed for a modified 110 cc electric motorcycle. The system incorporates a portable photovoltaic (PV) array and a regenerative braking feature, aimed at improving the motorcycle's energy efficiency. The setup includes a 72 V, 20 Ah lithium-ion battery, a 240 Wp portable PV array, and a 2 kW Brushless DC (BLDC) motor with regenerative braking to enhance the energy available on board. From the experiments, the vehicle demonstrated an average energy consumption of 44.9 Wh/km and achieved a range of about 32 km per charge. The PV system generated between 200 and 270 …

Challenging Stem Learning Spaces: The Paradigm Of Contemplative Traditions As The Bedrock Of Creativity And Healing, Raaghav Pandya, Christopher Emdin

Journal of Contemplative and Holistic Education

As the post-pandemic classroom and pedagogy evolve to remedy oppressive norms, young people’s mental health and alienation has taken front stage (Rahmani & Zitouni, 2022). Traditional STEM learning spaces often teach inquiry as a linear, non-deviated approach to problems about self and nature (Hrisa & Psillos, 2022). Furthermore, because our classrooms often strip students and educators of their inherent creative abilities through constant assessments, improvement scales, and market-driven expectations, classrooms cease to become places of healing (Pandya, 2021). Eastern wisdom traditions and their associated philosophies provide a unique pedagogical lens that emphasizes a deep inquiry into self, empathy, and creativity …

Toward Faster And Lower-Cost Prosthetic Socket Fabrication: Mechanical Coupon-Level Testing Of Fdm-Printed Pla/Petg Versus Lamination, Hussein Dhameer Hussein, Wajdi Sadik Aboud

AUIQ Technical Engineering Science

Additive manufacturing is increasingly being adopted in prosthetic manufacturing because digital workflows can reduce production time and improve repeatability compared to traditional lamination. This study measured two FDM polymers—polylactic acid (PLA) and polyethylene terephthalate glycol (PETG)—against a baseline of Perlon epoxy laminate (not including carbon reinforcement) using standardized coupon tests (n = 3 per test). PLA and PETG samples were printed at 100% fill with a 0.6 mm nozzle, while laminate coupons were prepared by wet layup and cut to the required geometry. Tensile testing followed ASTM D638 and three-point bending followed ASTM D790, modulus, 0.2% offset yield strength, and …

Developing Indices To Study Engineers' Interest, Confidence, And Experience With Global Engineering Work Activities, Lexy Arinze, Joe Tort, Kirsten A. Davis

School of Engineering Education Faculty Publications

Background

As engineering work has become increasingly globalized, prior studies have examined the intercultural attitudes and competencies of engineering students and practicing engineers. However, we lack tools to study how engineers engage in global work across industries, roles, and organizational contexts.

Purpose

The purpose of this study was to develop a tool to measure engineers' interest, confidence, and frequency in performing global work tasks. To this end, we designed the Global Task Performance (GTP) indices, which evaluate four dimensions of engagement in global engineering work.

Methods

Guided by Social Cognitive Career Theory and the Global Engineering Competency (GEC) framework, we …

Design Of Air-Entrained Concrete For Airport Pavements Through Local Aggregate Utilization: Performance Optimization And Economic Analysis, Li Wentao, Rizwan Qadir, Arslan Mushtaq, Hilal Khan, Kamran Jillani

Journal of Sustainable Construction Materials and Technologies

Airport pavement construction in developing countries faces critical challenges balancing international performance standards with economic constraints, while limited research exists on optimizing air-entrained concrete mixes using locally sourced materials for cost-effective solutions. This study investigated the development of economical air-entrained concrete mix designs for airport pavements utilizing Pakistani aggregates and systematic cement content optimization. Comprehensive experimental evaluation included material characterization through petrographic analysis, alkali-aggregate reactivity assessment via accelerated mortar bar testing, and mechanical property development across cement contents from 360-450 kg/m3. Air entrainment was achieved through controlled admixture dosing while maintaining target slump of 50mm. Results demonstrated that locally sourced …

Building Services Engineering March/April 2026

Building Services Engineering

No abstract provided.

Editorial: El Juego De Rol Como Instrucción Para La Inmortalidad, Romano Ponce Díaz

Journal of Roleplaying Studies and STEAM

El presente número del Journal of Roleplaying Studies and STEAM examina la convergencia entre las prácticas lúdicas, el diseño narrativo y los procesos de mediación sociocultural en la investigación contemporánea. Las contribuciones reunidas en este número abordan el juego de rol como un dispositivo de producción de conocimiento, intervención psicoeducativa y reelaboración de representaciones culturales. Nos podemos atrever a señalar que la educación es la convergencia entre la ludología, las ciencias sociales, los estudios visuales y el análisis cultural; entendiendo a la educación como la actividad consciente e intencionada de transmitir información y conocimientos a las siguientes generaciones.

The Functions Of Role- Playing Games: How Participants Create Community, Solve Problems And Explore Identity, De Sarah Lynne Bowman (2010) [Reseña De Libro], Cristo Leon

Journal of Roleplaying Studies and STEAM

The Functions of Role-Playing Games: How Participants Create Community, Solve Problems and Explore Identity, by Sarah Lynne Bowman, is an ambitious, wide-ranging, and still necessary work for role-playing game studies. Published in 2010, the book proposes that role-playing and roleplaying games fulfill three main social and psychological functions: creating community, facilitating problem solving, and enabling the exploration of identity. Bowman develops this thesis through a combination of theoretical review, cultural reflection, and participant-observer ethnography, based on interviews with players of tabletop role-playing games, live-action roleplaying games, and virtual environments. Organized into seven chapters, the book moves clearly from the …

3d: Dragones, Dados Y Deseos. Rituales En Las Comunidades Roleras De Bogotá, Francisco Gonzalez Buitrago

Journal of Roleplaying Studies and STEAM

¿Qué ocurre cuando la ficción deja de ser solo entretenimiento y se transforma en refugio, ritual y espacio de transgresión? Este artículo analiza los hallazgos de una etnografía y un ejercicio de cartografía social en torno a comunidades roleras de Bogotá, mostrando cómo jóvenes y adultos reconfiguran sus vidas cotidianas a través del juego de rol.

Lejos de limitarse al escapismo, las partidas se convierten en escenarios simbólicos donde caben la negociación, la crítica y la catarsis. En una ciudad marcada por la incertidumbre generacional y las tensiones entre género, clase y territorio, las campañas de rol permiten reimaginarse a …

Los Juegos De Rol Como Una Herramienta Psicoeducativa, Víctor E. Quintana Villarreal

Journal of Roleplaying Studies and STEAM

Los juegos de rol han funcionado durante mucho tiempo como un medio para compartir y crear historias en conjunto con colegas y amigos. De ellos, se desprenden también habilidades y herramientas fundamentales para la vida, por lo que un método para sistematizar estos juegos de tablero y dados a funciones educativas es necesario para potenciarlos como herramientas psicoeducativas.

La siguiente, es una propuesta planteada desde el marco constructivista para generar espacios con los juegos de rol como eje central del aprendizaje, y se relatan a través de un marco teórico, seguido de una proposición metodológica, una serie de pasos para …

Practicing Conflict Transformation Skills Through Role-Playing Games For Diversity, Equity, And Inclusion In Higher Education, Alexandra Schreiber, Kjell H. Hugaas, Sarah L. Bowman

Journal of Roleplaying Studies and STEAM

No abstract provided.