Journal Description
Engineering Proceedings
Engineering Proceedings
is an open access journal dedicated to publishing findings resulting from conferences, workshops, and similar events, in all areas of engineering. The conference organizers and proceedings editors are responsible for managing the peer-review process and selecting papers for conference proceedings.
Latest Articles
Integrating Permeable Pavements into Sustainable Urban Mobility Planning
Eng. Proc. 2026, 135(1), 41; https://doi.org/10.3390/engproc2026135041 - 14 Aug 2026
Abstract
The paper investigates the integration of permeable pavements into sustainable urban mobility planning in Bologna, Italy. The study evaluates stormwater management benefits under the current and future climate conditions through hydrological and hydraulic modeling with EPA SWMM. A residential catchment of about 50
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The paper investigates the integration of permeable pavements into sustainable urban mobility planning in Bologna, Italy. The study evaluates stormwater management benefits under the current and future climate conditions through hydrological and hydraulic modeling with EPA SWMM. A residential catchment of about 50 hectares was analyzed, with potential permeable pavement implementation on pedestrian paths and parking areas. Results show a 40% reduction in stormwater volumes under the current climate and 38% under future scenarios, confirming the resilience and effectiveness of green infrastructure. Findings support Bologna’s Urban Plan for Sustainable Mobility, highlighting permeable pavements as a strategy to enhance resilience and sustainability.
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(This article belongs to the Proceedings of II International Conference on Challenges and Perspectives in Urban Water Management Systems (CSDU-CSSI DAYS 25))
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Open AccessProceeding Paper
Design of Ergonomic Red Brick Molder with Axiomatic Design and Ulrich & Eppinger Method
by
Indah Pratiwi, Muhammad Fahmi Rizkiandi and Mohd Nasrull Abdol Rahman
Eng. Proc. 2026, 137(1), 28; https://doi.org/10.3390/engproc2026137028 (registering DOI) - 14 Aug 2026
Abstract
In the small and medium industries producing red bricks in Indonesia, the production process still uses traditional tools. At the workstation, operators in bent postures, which increases the potential for musculoskeletal disorders (MSDs) to occur and requires corrective actions at the workstation. This
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In the small and medium industries producing red bricks in Indonesia, the production process still uses traditional tools. At the workstation, operators in bent postures, which increases the potential for musculoskeletal disorders (MSDs) to occur and requires corrective actions at the workstation. This research aims to reduce the risk of unhealthy operator work postures by designing red-brick molding tools that are more ergonomic and efficient, thereby speeding up the production process. The research uses the axiomatic design method and integrates it with the Ulrich and Eppinger’s product design and development stages. At the product concept development stage, five alternative design solutions were generated, and the second solution was determined as the selected concept. The solution was design and tested virtually. The research results show that the REBA method test score is one, which means that the red-brick molding work using this tool carries a negligible level of risk and does not require corrective action. Based on the designed specifications, this tool can reduce molding time by 92.5% compared to the molding time of traditional tools.
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(This article belongs to the Proceedings of The 9th Mechanical Engineering, Science and Technology International Conference (MEST 2025))
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Open AccessProceeding Paper
Improvement of Reflection/Transmission of Interference Structures: A Pilot Theoretical Simulation
by
Margarita Deneva and Maria Marinova
Eng. Proc. 2026, 150(1), 131; https://doi.org/10.3390/engproc2026150131 - 13 Aug 2026
Abstract
Optical interference structures (OISs) are of particular interest due to their attractive potential for use in many practical applications involving laser light. They have many interesting properties, including the ability to smoothly tune the wavelength of the incident laser beam, simple implementation of
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Optical interference structures (OISs) are of particular interest due to their attractive potential for use in many practical applications involving laser light. They have many interesting properties, including the ability to smoothly tune the wavelength of the incident laser beam, simple implementation of the elements and the absence of electrical and magnetic influences. Here, the focus is on a new theoretical approach to the action of OIS, based on our newly introduced multi-layer interference wedge structure, which improves the reflection and transmission characteristics of the classical single-gap interference structure. This new approach is based on multi-beam interference and the implementation of the parallel algorithm programming principle.
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(This article belongs to the Proceedings of The 15th International Scientific Conference TechSys 2025—Engineering, Technology and Systems)
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Open AccessProceeding Paper
A Distributed Governance-Constrained Cyber Risk Management Framework for Enterprise Systems
by
Kavitha K J and Keerthi S
Eng. Proc. 2026, 143(1), 64; https://doi.org/10.3390/engproc2026143064 - 13 Aug 2026
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The rapid integration of digital technologies including cloud infrastructures, Internet of Things ecosystems, artificial intelligence, and large-scale enterprise platforms has reshaped the operational and architectural foundations of contemporary organizations. Although these technologies enhance flexibility, scalability, and analytics-driven decision processes, they simultaneously increase system
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The rapid integration of digital technologies including cloud infrastructures, Internet of Things ecosystems, artificial intelligence, and large-scale enterprise platforms has reshaped the operational and architectural foundations of contemporary organizations. Although these technologies enhance flexibility, scalability, and analytics-driven decision processes, they simultaneously increase system complexity, broaden attack surfaces, and intensify governance requirements. This manuscript adopts an engineering-oriented viewpoint on digital governance and enterprise cybersecurity, focusing on secure system architectures, policy-driven control mechanisms, and resilience-focused operational strategies. An integrated framework that unifies governance structures, quantitative risk assessment, compliance automation, cybersecurity engineering is introduced to enable secure-sustainable digital transformation across enterprise environments.
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Open AccessProceeding Paper
MENRO: Monitoring and Management System
by
Mel Eduard A. Magracia, Ian Peter R. Madrona, Jeremias F. Fabito, Onemig Mortel, Jomar V. Malsi and Lynie M. Mariño
Eng. Proc. 2026, 143(1), 63; https://doi.org/10.3390/engproc2026143063 - 13 Aug 2026
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The MENRO: Monitoring and Management System is a digital solution developed to modernize the manual operations of the Municipal Environment and Natural Resources Office (MENRO). The system provides a secure and user-friendly platform designed to streamline document handling, automate monitoring tasks, and ensure
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The MENRO: Monitoring and Management System is a digital solution developed to modernize the manual operations of the Municipal Environment and Natural Resources Office (MENRO). The system provides a secure and user-friendly platform designed to streamline document handling, automate monitoring tasks, and ensure accurate environmental data management. This project specifically aims to: (1) develop a user-friendly interface that enables seamless document and record management, allowing administrators to effortlessly add, edit, update, and store essential information, and (2) design a system that is capable of automatically generating comprehensive lists of apprehension receipts, including violations and penalties issued to establishments under MENRO’s jurisdiction. These functions address long-standing inefficiencies in manual monitoring, recordkeeping, and compliance tracking. The system was evaluated using the ISO/IEC 25010:2011 software quality standards, focusing on functional suitability, performance efficiency, reliability, usability, compatibility, maintainability, portability, and security. Results show high usability and strong security features, ensuring that the platform meets operational needs while safeguarding sensitive environmental and legal records. By integrating real-time data access, automated reporting, and digitized forms used in environmental compliance checks, the system enhances MENRO’s capability to uphold environmental governance with greater transparency, accuracy, and accountability.
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Open AccessProceeding Paper
Orthokeratology Procedure Computer Simulation Analysis
by
Gyuri Bodi, Mihaela Ioana Baritz, Angela Repanovici, Alexandra Maria Lazăr and Anca Ioana Tătaru (Ostafe)
Eng. Proc. 2026, 148(1), 44; https://doi.org/10.3390/engproc2026148044 - 13 Aug 2026
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The cornea, a transparent avascular connective tissue, is the most important refractive component of the eye system, along with the overlapping tear film. In addition, due to its protective, transparent and refractive characteristics, it protects the sensitive content of the eyeball and provides
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The cornea, a transparent avascular connective tissue, is the most important refractive component of the eye system, along with the overlapping tear film. In addition, due to its protective, transparent and refractive characteristics, it protects the sensitive content of the eyeball and provides clear vision. However, both experimental and clinical modeling/simulation studies are needed for a holistic understanding of corneal behavior alongside tear film and contact lenses. As such, this study develops a simulator for analyzing the orthokeratology procedure, with the aim of highlighting the biomechanical aspects of contact between the cornea, tear fluid and the ortho-K lens in different situations. The computer simulator (Matlab) allows the development of multiscenario variants for effective and practical understanding and applicability.
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Open AccessProceeding Paper
Impact-Induced Fracture in Additively Manufactured AlSi10Mg Using a Fractal Approach
by
Md Salah Uddin
Eng. Proc. 2026, 142(1), 18; https://doi.org/10.3390/engproc2026142018 - 13 Aug 2026
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Additively manufactured AlSi10Mg aluminum alloy was investigated at two-layer build orientations: 0° and 90°. Impact-induced fractures were generated per the ASTM standard Charpy test. The resulting fracture surfaces were analyzed using the multi-image-based fractal analysis method. We used a digital microscope to analyze
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Additively manufactured AlSi10Mg aluminum alloy was investigated at two-layer build orientations: 0° and 90°. Impact-induced fractures were generated per the ASTM standard Charpy test. The resulting fracture surfaces were analyzed using the multi-image-based fractal analysis method. We used a digital microscope to analyze the fracture surface and examined compression, neutral, and tension zones on the surface. We found that the crack propagated symmetrically across the surface. The results showed that the compression zone has the lowest fractal dimension compared to the tension and neutral zones. The 0° orientation samples have a higher fractal dimension than the 90° orientation samples.
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Open AccessProceeding Paper
Investigation of the Corrosion of Steel S235JR in Common Beverages
by
Kalina Kamarska, Ivalina Petrova, Radoslava Terzieva, Iva Naydenova and Radka Koleva
Eng. Proc. 2026, 150(1), 130; https://doi.org/10.3390/engproc2026150130 - 12 Aug 2026
Abstract
The widespread application of plain S235JR steel across various industries often involves its exposure to degradative conditions, such as the organic acid concentrations typically found in various foodstuffs. This study investigates the corrosion behavior of S235JR steel immersed in several common beverages. The
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The widespread application of plain S235JR steel across various industries often involves its exposure to degradative conditions, such as the organic acid concentrations typically found in various foodstuffs. This study investigates the corrosion behavior of S235JR steel immersed in several common beverages. The corrosion of steel S235JR was evaluated by gravimetric and electrochemical study. Statistical modeling via multiple linear regression and ANOVA was utilized to verify the experimental dataset. Based on the results, the highest early-stage corrosion occurs in coffee and tomato juice, though apple cider vinegar stands out for its steadily intensifying corrosive effect over the immersion period. Conversely, the presence of citric acid in lemon and orange juices appears to act as an inhibitor, leading to the lowest observed corrosion rates. The strong correlation between electrochemical parameters ( and ) and physical mass loss confirms that the chemical nature of each beverage significantly governs the corrosion kinetics of S235JR.
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(This article belongs to the Proceedings of The 15th International Scientific Conference TechSys 2025—Engineering, Technology and Systems)
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Open AccessProceeding Paper
Design and Validation of a Technology-Aided Interactive Mathematics Learning System for Primary Education
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Dana Kaye Fabiala, Jhun August Mendez II, Maria Belinda Galivo, Shairane Potoy, Liza Melchor, Hannah Grace Fampulme and Mary Diane M. Mortel
Eng. Proc. 2026, 143(1), 62; https://doi.org/10.3390/engproc2026143062 - 12 Aug 2026
Abstract
The increasing demand for technology-supported instructional solutions has created opportunities to develop learning systems that integrate curriculum alignment, instructional design, and learner-centered interaction within a unified educational framework. This study presents the design and validation of a Technology-Aided Interactive Mathematics Learning Framework that
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The increasing demand for technology-supported instructional solutions has created opportunities to develop learning systems that integrate curriculum alignment, instructional design, and learner-centered interaction within a unified educational framework. This study presents the design and validation of a Technology-Aided Interactive Mathematics Learning Framework that functions as an instructional support system for Grade 3 subtraction involving three- to four-digit numbers with and without regrouping. The proposed framework adopts the Four-D (4D) instructional development model as its system development methodology and incorporates structured content organization, interactive learning components, and curriculum-driven instructional configuration. A mixed-method developmental research approach was employed involving fourteen participants, including twelve Grade 3 teachers and two master teachers from public elementary schools in Alcantara, Romblon, Philippines. A needs assessment identified subtraction with regrouping as the highest-priority instructional challenge. The resulting instructional system was evaluated using the Department of Education Evaluation Rating Sheet for Print Resources and achieved an overall Very Satisfactory rating across content integrity, interface organization, presentation, instructional architecture, and information accuracy. Qualitative analysis further demonstrated that the framework supports curriculum alignment, contextual adaptability, learner engagement, and reusable instructional deployment while identifying opportunities for improving inclusivity and interface presentation. The findings demonstrate that the proposed technology-aided instructional framework provides a practical, scalable, and sustainable learning support configuration that can serve as a foundation for future intelligent educational systems, adaptive learning platforms, and digital instructional environments.
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Open AccessProceeding Paper
Tail-Risk Profiling of Construction Accidents Using Text Data
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Hao Wang, Miaoling Wang, Liang Kong, Mushuang Liu and Xinxin Zhu
Eng. Proc. 2026, 146(1), 17; https://doi.org/10.3390/engproc2026146017 - 12 Aug 2026
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Construction accident investigation reports provide rich narrative evidence for understanding why incidents occur, yet conventional text-mining studies in safety analytics often prioritize frequent patterns and may overlook low-frequency but high-consequence scenarios. This paper proposes a tail-risk profiling approach for construction accidents using text
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Construction accident investigation reports provide rich narrative evidence for understanding why incidents occur, yet conventional text-mining studies in safety analytics often prioritize frequent patterns and may overlook low-frequency but high-consequence scenarios. This paper proposes a tail-risk profiling approach for construction accidents using text data. We transform accident narratives into semantic scene representations and organize reports into ten stable scene clusters (S1–S10) using spherical K-means with HDBSCAN-based robustness validation. Tail behavior is quantified at the scene level via quantile-based indicators, where P50 represents typical consequences and P90 represents extreme consequences; we further derive the Heavy-Tail Index (HTI = P90/P50) and the P90 exceedance rate to measure extreme-outcome tendency. A case study on 409 official accident reports shows that the proposed profiling can distinguish “tail-heavy” scenarios and support severity-sensitive scenario prioritization beyond frequency statistics. The results indicate that tail-risk profiling offers an interpretable and scalable basis for targeted safety interventions focusing on extreme-risk scenarios.
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Open AccessProceeding Paper
Ancient Projectile Identification Through Inverse Analysis Effects of Masonry Homogenization and Material Homogeneity
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Vincenzo Minutolo, Eugenio Ruocco, Simone Palladino and Renato Zona
Eng. Proc. 2026, 149(1), 7; https://doi.org/10.3390/engproc2026149007 - 12 Aug 2026
Abstract
The mechanical interpretation of impact traces on historical masonry structures offers a promising pathway for identifying the typology of ancient projectiles used in past conflicts. In recent years, inverse analysis approaches have been increasingly employed to infer projectile characteristics from residual damage patterns
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The mechanical interpretation of impact traces on historical masonry structures offers a promising pathway for identifying the typology of ancient projectiles used in past conflicts. In recent years, inverse analysis approaches have been increasingly employed to infer projectile characteristics from residual damage patterns observed on archaeological remains. However, the reliability of such reconstructions strongly depends on the mechanical representation adopted for the impacted masonry. Ancient masonry walls, particularly those composed of tuff blocks and mortar joints, exhibit a marked heterogeneity that cannot always be adequately captured through simplified homogeneous material models. In this study, a numerical framework is developed to investigate how different assumptions regarding masonry homogenization influence the identification of projectile parameters derived from impact evidence. The mechanical response of the masonry is modeled through a homogenization procedure based on representative volume elements (RVE), allowing the heterogeneous brick—mortar assemblage to be translated into an equivalent macroscopic constitutive description. The resulting elastic and limit mechanical properties are then employed within a Finite Element Limit Analysis (FELA) formulation grounded in Melan’s lower bound theorem to evaluate collapse mechanisms and energy dissipation during impact.The methodology is applied to a case study inspired by the masonry walls of Pompeii, where parametric variations in mortar thickness are considered to assess their influence on the homogenized stiffness and strength domain. The results highlight how even simplified yet mechanically consistent models are capable of capturing the anisotropic behavior of masonry and its implications for energy absorption. In particular, the study shows that adopting a homogenization-based representation leads to more reliable inverse estimates of projectile velocity and momentum compared to purely homogeneous approximations. Overall, the proposed approach provides a computationally efficient yet mechanically grounded framework for supporting archaeological interpretations of impact traces, contributing to a more quantitative understanding of ancient warfare technologies.
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(This article belongs to the Proceedings of Discovering Pompeii II: From Digitally Surveyed Data to Visualized Simulations (SCORPiò-NIDI 2026))
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Open AccessProceeding Paper
Mathematical Models of Systems for Measuring Pressure of Gas–Liquid Media and Their Comparative Analysis
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Petr Velmisov and Andrey Ankilov
Eng. Proc. 2026, 150(1), 129; https://doi.org/10.3390/engproc2026150129 - 11 Aug 2026
Abstract
The paper considers a linear differential operator and a nonlinear integro-differential operator, on the basis of which the equations of vibration of a deformable plate are written down. The nonlinear operator takes into account the nonlinearity of the longitudinal force arising from the
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The paper considers a linear differential operator and a nonlinear integro-differential operator, on the basis of which the equations of vibration of a deformable plate are written down. The nonlinear operator takes into account the nonlinearity of the longitudinal force arising from the elongation of the plate due to its deformation. Based on the proposed equations, the mathematical models of the mechanical system “pipeline–pressure sensor” are developed. The system consists of a pipeline attached at one end to the combustion chamber of an aircraft engine and a sensor designed to measure the pressure in the combustion chamber at the other end. The sensing element of the sensor that transmits the pressure information is a deformable plate. The models take into account the transfer of heat flow through the pipeline with the working medium (gas or liquid) from the engine to the elastic element and the aerohydrodynamic effect of this medium on the plate. On the basis of the small parameter method, the asymptotic equations describing the joint dynamics of the working medium in the pipeline and the deformable element of the sensor are obtained. The dynamics study is based on the application of the Galerkin method and numerical experiment in Mathematica 12.0. The case of rigid fixation of the elastic element ends is considered. A comparative analysis of solutions for linear and nonlinear models is made. The insignificant influence of the nonlinearity of the longitudinal force on the value of the plate deflection is shown.
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(This article belongs to the Proceedings of The 15th International Scientific Conference TechSys 2025—Engineering, Technology and Systems)
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Open AccessProceeding Paper
A Human-Centered Virtual Learning Environment Adoption Framework for Higher Education Systems
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Charmaine Shane S. Cuñada
Eng. Proc. 2026, 143(1), 61; https://doi.org/10.3390/engproc2026143061 - 11 Aug 2026
Abstract
The increasing deployment of Virtual Learning Environments (VLEs) within higher education has highlighted the need for systematic frameworks that support technology adoption among digitally diverse users. This study presents a human-centered evaluation framework for analyzing the adoption of VLEs by digital immigrant teachers
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The increasing deployment of Virtual Learning Environments (VLEs) within higher education has highlighted the need for systematic frameworks that support technology adoption among digitally diverse users. This study presents a human-centered evaluation framework for analyzing the adoption of VLEs by digital immigrant teachers within higher education systems. The framework was examined using qualitative evidence obtained from thirteen educators aged 50 years and above at a Philippine state university through Husserlian descriptive phenomenology and Colaizzi’s seven-step analytical approach. The analysis identified three interconnected framework dimensions—System Transition Challenges, Adaptive Configuration Strategies, and Technology-Enabled Instructional Opportunities—representing the progression from initial system adoption to sustained digital integration. Findings indicate that technical complexity, increased workload, and interaction constraints initially hinder effective VLE utilization. However, structured professional development, instructional redesign, and collaborative support functioned as key framework components that improved system usability, digital competence, and instructional performance. The proposed framework conceptualizes VLE adoption as a socio-technical process integrating user capabilities, institutional support mechanisms, and digital platform functionality. These findings contribute to the design of more resilient, user-centered, and scalable VLE implementation strategies for higher education information systems.
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Open AccessProceeding Paper
A Data-Driven ICT-Assisted Instruction Architecture for Pervasive Skills Development in Accounting Education
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Sherryll Fetalvero, Tomas Faminial, Emelyn Montoya, Errol Foja, Eddie Fetalvero and Garry Vanz Blancia
Eng. Proc. 2026, 143(1), 60; https://doi.org/10.3390/engproc2026143060 - 11 Aug 2026
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The increasing digitalization of higher education has created the need for ICT-assisted instructional frameworks capable of supporting both technical competency development and pervasive skills acquisition. This study presents a data-driven framework for informing ICT-assisted instruction based on the assessment of accountancy students’ perceived
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The increasing digitalization of higher education has created the need for ICT-assisted instructional frameworks capable of supporting both technical competency development and pervasive skills acquisition. This study presents a data-driven framework for informing ICT-assisted instruction based on the assessment of accountancy students’ perceived importance and readiness regarding pervasive skills. An online survey was conducted among students enrolled in the Accountancy program at Romblon State University using a researcher-developed instrument covering personal attributes, intellectual and professional skills, interpersonal and communication skills, and professional ethics and moral values. Descriptive statistics and paired-samples t-tests were employed to identify readiness gaps across the four competency domains. Results indicate statistically significant differences between perceived importance and readiness, with communication-related competencies exhibiting the largest readiness gaps. These findings provide empirical requirements for designing human-centered ICT-assisted instructional systems that integrate digital collaboration platforms, simulations, adaptive learning technologies, and analytics-driven learning activities. The proposed framework supports evidence-based instructional configuration by aligning technology-enhanced learning environments with learner competency needs, thereby contributing to the development of more responsive educational information systems for accounting education.
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Open AccessProceeding Paper
Modeling, Kinematic Analysis, and PID Control of a Two-Degree-of-Freedom Robotic Manipulator
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George Kirkopoulos, Stavros Gkanatsios and George F. Fragulis
Eng. Proc. 2026, 143(1), 59; https://doi.org/10.3390/engproc2026143059 - 11 Aug 2026
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The subject of this study is the control of a two-degree-of-freedom robotic arm. Initially, the theoretical foundation employed in this study is presented. Subsequently, homogeneous transformation matrices are computed utilizing the Denavit–Hartenberg (D-H) method. Subsequently, the problem of forward kinematics and inverse kinematics
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The subject of this study is the control of a two-degree-of-freedom robotic arm. Initially, the theoretical foundation employed in this study is presented. Subsequently, homogeneous transformation matrices are computed utilizing the Denavit–Hartenberg (D-H) method. Subsequently, the problem of forward kinematics and inverse kinematics is resolved. Subsequently, state space matrices are calculated, and finally, the parameters of the PID (Proportional Integral Derivative) controller are determined to ensure that specific specifications (e.g., overshoot, settling time, steady-state error) are met, even in the presence of disturbances.
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Open AccessProceeding Paper
Techno-Economic Comparison of Carbon Capture Technologies with Exhaust Gas Recirculation in NGCC Power Plants
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Hulkar Abdusalomova, Azizbek Kamolov, Zafar Turakulov, Botir Usmonov, Qilichbek Safarov, Jaloliddin Eshbobaev, Sarvar Rejabov, Komil Usmanov, Yoldoshkhon Akramkhodjayev, Adham Norkobilov, Miroslav Variny and Marcos Fallanza
Eng. Proc. 2026, 147(1), 13; https://doi.org/10.3390/engproc2026147013 - 11 Aug 2026
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Post-combustion amine absorption is the most mature CO2 capture technology, while membrane separation is a promising alternative due to its modularity and operational simplicity. Process intensification through exhaust gas recirculation (EGR) has also gained attention for increasing flue gas CO2 concentration
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Post-combustion amine absorption is the most mature CO2 capture technology, while membrane separation is a promising alternative due to its modularity and operational simplicity. Process intensification through exhaust gas recirculation (EGR) has also gained attention for increasing flue gas CO2 concentration and reducing capture energy demand. However, comprehensive techno-economic comparisons of absorption, membrane, and hybrid systems under EGR-integrated NGCC conditions remain limited. This study presents a techno-economic assessment of multiple CO2 capture configurations for a 450 MW NGCC power plant. Process simulations were performed using Aspen Plus and Aspen Custom Modeler to evaluate absorption, membrane, and hybrid systems integrated with conventional and selective EGR. The analysis considers full steam cycle integration and compares energy consumption, net plant efficiency, levelized cost of electricity (LCOE), and CO2 avoidance cost. The results show that EGR significantly improves carbon capture performance. Among all cases, selective EGR combined with amine absorption delivers the best performance, reducing the energy penalty by more than 30% compared with standalone absorption and by over 70% relative to membrane separation. This configuration achieves an LCOE of approximately 72 USD/MWh and a CO2 avoidance cost of about 39 USD/tCO2, outperforming the selective EGR–membrane system (77 USD/MWh and 51 USD/tCO2). These findings demonstrate that integrating selective EGR with amine absorption is a highly promising strategy for improving the technical and economic feasibility of CCSU in NGCC power plants.
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Open AccessProceeding Paper
Fault Detection and Diagnosis of DC Motor Using Long Short-Term Memory (LSTM)
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Ibrahim Abdulwahab, Badamasi Umar, Umar Musa, Sulaiman Haruna Sulaiman, Ibrahim Abdullahi Shehu, Ismaila Mahmud and Aminu Jibrin Aliyu
Eng. Proc. 2026, 145(1), 11; https://doi.org/10.3390/engproc2026145011 - 11 Aug 2026
Abstract
The reliability and continuous operation of DC motors are essential in industrial and engineering applications. However, unexpected faults such as brush wear and commutator faults can lead to efficiency reduction and unplanned downtime. This paper presents a machine learning approach for fault detection
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The reliability and continuous operation of DC motors are essential in industrial and engineering applications. However, unexpected faults such as brush wear and commutator faults can lead to efficiency reduction and unplanned downtime. This paper presents a machine learning approach for fault detection and diagnosis (FDD) of DC motors using Long Short-Term Memory (LSTM). A publicly available dataset was employed to train the models. To compare the performance, two other models, K-nearest neighbor (KNN) and artificial neural network (ANN), were used. The performance of the models was assessed through accuracy, precision, recall, and F1-score, and presented using confusion matrices. The results obtained from the developed scheme were compared with those obtained when KNN and ANN were used. The results revealed that KNN, while simple and computationally efficient with an accuracy of 93.3%, was prone to misclassifications in overlapping feature spaces. ANN demonstrated improved accuracy of 94.7% by capturing non-linear relationships among features but lacked the ability to effectively exploit time-dependent characteristics of the data. In contrast, LSTM achieved the highest performance, with a validation accuracy of 97.3% and strong precision and recall across all the classes, owing to its ability to capture temporal dependencies in sequential motor data. The study concludes that LSTM significantly outperforms KNN and ANN, making it the most suitable model for DC motor fault detection and diagnosis.
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(This article belongs to the Proceedings of The 3rd International Electronic Conference on Machines and Applications)
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Open AccessProceeding Paper
From Damage Survey to the Module Measurements of the Dart Launcher
by
Claudio Formicola, Santiago Lillo Giner and Adriana Rossi
Eng. Proc. 2026, 149(1), 8; https://doi.org/10.3390/engproc2026149008 (registering DOI) - 11 Aug 2026
Abstract
This study develops workflows derived from the non-contact survey of small anthropic markers along the northern stretch of Pompeii’s urban walls. For valid reasons currently being verified, these indentations have been attributed to the impact of darts fired by Sulla’s artillery in 89
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This study develops workflows derived from the non-contact survey of small anthropic markers along the northern stretch of Pompeii’s urban walls. For valid reasons currently being verified, these indentations have been attributed to the impact of darts fired by Sulla’s artillery in 89 BC. Consistent with published findings, the morphometric data obtained from the casts of the impressions generated by the metal tips were used to obtain measurement modules suitable for measuring the reconstruction of SCORpiò-NIDI. To achieve this result, calibration formulas handed down directly from the Greeks and Romans were used. The method adopted reverses the usual sequence, starting from the effects and arriving at the causes. According to the principles handed down by ancient treatise writers, typical 2D-3D graphic modeling investigations guided the commensuration of parts. A family of dart-launcher prototypes was created based on the measurement module, to be tested and mechanically analyzed through reverse engineering processes. The creation of virtual models was not based on the dimensions of the findings, but rather on parameters that study the reaction of stone blocks to the impact of blunt objects. The results aim to raise operational criticism, contributing to the debate on “certified” typological families of reconstructions based on objective data and verifiable calculations.
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(This article belongs to the Proceedings of Discovering Pompeii II: From Digitally Surveyed Data to Visualized Simulations (SCORPiò-NIDI 2026))
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Open AccessProceeding Paper
Analytical Evaluation of Elastic Rope Materials and Aerodynamics of Roman Scorpio Catapults Based on Archeological Evidence
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Monil Mihirbhai Thakkar, Amir Ardeshiri Lordejani and Mario Guagliano
Eng. Proc. 2026, 149(1), 6; https://doi.org/10.3390/engproc2026149006 - 11 Aug 2026
Abstract
Roman artillery represents a key element of ancient military technology, reflecting the advanced level of technical knowledge achieved in the late Republican and early Imperial periods. However, the operational capabilities and the design methodology of these weapons are not adequately described in historical
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Roman artillery represents a key element of ancient military technology, reflecting the advanced level of technical knowledge achieved in the late Republican and early Imperial periods. However, the operational capabilities and the design methodology of these weapons are not adequately described in historical references. This study investigates the launch performance of Roman Scorpio catapult by integrating archeological evidence from impact craters on Pompeii’s northern walls with analytical modeling of torsion-spring behavior. The present study determines the required release velocity of an arrow capable of creating impact craters reported by applying ballistic and aerodynamic analytical models. Historically cited rope materials for torsion springs are evaluated using experimentally reported mechanical properties and geometric constraints. The integrated analysis highlights how material selection and drag-related energy losses influence projectile velocity, supporting the plausibility of the proposed catapult configuration and offering highlights into ancient artillery design.
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(This article belongs to the Proceedings of Discovering Pompeii II: From Digitally Surveyed Data to Visualized Simulations (SCORPiò-NIDI 2026))
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Open AccessProceeding Paper
Design and Establishment of Ontology for Sustainable Bioenergy
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Adelina Ivanova, Boryana Deliyska and Anna Rozeva
Eng. Proc. 2026, 150(1), 128; https://doi.org/10.3390/engproc2026150128 - 10 Aug 2026
Abstract
Bioenergy (including biofuel) production and use are prerequisites for reducing greenhouse emissions and achieving sustainable development. In this work, on the basis of review and analysis of research achievements and elaborated ontologies in the field, an ontology of sustainable bioenergy is proposed. A
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Bioenergy (including biofuel) production and use are prerequisites for reducing greenhouse emissions and achieving sustainable development. In this work, on the basis of review and analysis of research achievements and elaborated ontologies in the field, an ontology of sustainable bioenergy is proposed. A methodology for its development includes: goals and scope definition, text corpus composition and extraction of the main concepts, controlled vocabulary and thesaurus building, ontology coding, reasoning, verification and querying. The established ontology has links to other related ontologies and is published in GitHub/Borydel/OSBE repository. Further extension of the sustainable bioenergy ontology is planned as well as its embedding in a dedicated repository.
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(This article belongs to the Proceedings of The 15th International Scientific Conference TechSys 2025—Engineering, Technology and Systems)
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