Archives of Advanced Engineering Science
type: channel
description: The Archives of Advanced Engineering Science is a peer-reviewed, interdisciplinary journal focusing on the integration of computational methods, modeling and simulation, as well as experimental approaches to solve complex problems in advanced engineering systems. The journal serves as a vital platform to enhance and advance the knowledge of engineering sciences and contribute towards the original research and innovative solutions that integrate theoretical foundations with simulation and practical applications in modern advanced engineering systems. The journal is a Gold Open Access journal, online readers don't have to pay any fee. The journal is currently free to the authors, and all Article Processing Charges (APCs) are waived until 31 May 2026.
publisher: Bon View Publishing Ptd., Ltd
language: en
publication name: Archives of Advanced Engineering Science
issn: 2972-4325
items: Performance Analysis of Green Building with Natural Stone Coating Wall in the Black Sea Region
items: Numerical Investigation of Low-Frequency Sound Absorption in Micro-perforated Panel–Porous Composite Structures
items: Consolidation Behavior of Soft Clays with Permeability Anisotropy: A Finite Element Study
items: Development of an Expert System Calculator for Pediatric Blood Draw: A Conceptual Study
items: Analysis of Initial Stress and Linearly Variable Amplitudes of Corrugated Surface on a Fibre-Reinforced Solid Under Magnetic Field and Linearly Varying Impedance
items: Forecasting Licensed Athletes Numbers Using Time Series and Hybrid Artificial Intelligence Models
items: Predictive Modeling of Public Sentiment Toward MONUSCO's Mandate: A Machine Learning Approach
items: Metal Cutting Data Integration with Different Contact and Friction Conditions, Kinematics, Tool Geometry, and Temperatures
items: Performance Optimization of Multi-Band Microstrip Antennas Using Support Vector Regression for Wireless Communications
items: Accurate Prediction of Peak Ground Acceleration Using Random Forests: A Data-Driven Approach with PEER Updated NGA-WEST2 Ground Motion Records
items: A Case Study on Sustainable Transition as Strategic Policies for Solar Energy
items: Numerical Study on Toppling Mechanisms of Crane and Pile Driver Based on Structural Stability Theory
items: Vehicle Dynamics with RecurDyn Based on the TMeasy Tire Model
items: Privacy Risks in the Adoption of IoT: A Quantitative Study on Data Exposure in Costa Rica
items: Competitive Intelligence Review: Evolution and Trends of AI-Based Microprocessors
items: Access Restricted: A Study of Broken Access Control Vulnerabilities
items: Practical Sensor Performance and Methodology for Measuring Permittivity of Dielectric Plates in the Microwave Frequency Range
items: Investigating the Steel Fiber of Waste Tires to Enhance the Properties of Concrete Ground Slabs
items: Strengthening and Toughening Mechanisms of Continuous SiC Fiber-Reinforced TiAl4822/Ti6Al4V Layered Composite Prepared by Hot Pressing
items: A Comparative Study of WebAssembly Runtimes: Performance Metrics, Integration Challenges, Application Domains, and Security Features
items: Tensile Behaviour of Steel Joints Implemented by Bolts and Adhesive
items: Implementation Approaches of Thermoelectric Generator in Photovoltaic System: A Review
items: Review of the Road of Safety in the Years 2001-2023
items: Techno-Economic Analysis of Hybrid Photovoltaic Systems with Integration of Electrical Vehicles
items: Optimization of Biochar Production from Cassava Peels: An Application of Response Surface Methodology
items: Three-Dimensional Vibration Visual Measurement Method Based on Binocular Camera
items: Investigations of the Hybrid Effects of the Operational Parameters in the Radial Forging Process Based on the Validation of the Hardness Test
items: Statistical Analysis of Levelized Round Trip Cost of Grid Scale Electrical Energy Storage in Batteries with Different Chemistries
items: Review and Design of Business Domain-Specific Cybersecurity Controls Framework for Micro, Small, and Medium Enterprises (MSMEs)
items: Evaluating the Structural Integrity and Performance of Polyethylene Terephthalate and Low-Density Polyethylene-Based Interlocking Bricks for Sustainable Construction

Performance Analysis of Green Building with Natural Stone Coating Wall in the Black Sea Region
type: item
description: This study presents an integrated numerical and multi-criteria decision-making framework to evaluate and optimize building envelope designs for energy efficiency under the climatic conditions of the Black Sea Region, Turkey. A total of 108 alternative wall configurations were systematically generated by combining three wall types, five natural stone claddings, and two insulation materials. High-resolution thermal simulations were conducted using ANSYS to assess temperature distribution and heat transfer behavior across the building envelope under fixed indoor thermal comfort conditions. The simulation results were first evaluated from an energy-performance perspective, revealing that wall systems incorporating aerated concrete, EPS insulation, and Niğde marble cladding, particularly in sandwich configurations, exhibited the most favorable thermal behavior, while configurations using Giresun granite showed the poorest energy performance due to higher thermal conductivity. To complement the energy-focused analysis, an Analytic Hierarchy Approach (AHP) was applied as a multi-criteria material selection tool, integrating mechanical and durability-related properties together with thermal conductivity. Under this broader evaluation framework, Giresun granite was ranked as the optimal material owing to its superior mechanical performance, despite its unfavorable thermal behavior. The results demonstrate that material optimality in building envelope design is inherently context-dependent. While Niğde marble is preferable for energy-efficient envelope applications, Giresun granite becomes dominant when mechanical durability and long-term performance are prioritized. The combined use of ANSYS simulations and AHP provides a robust, transparent, and adaptable decision-support methodology for context-specific building envelope design. Received: 11 December 2025 | Revised: 5 March 2026 | Accepted: 23 March 2026 Conflicts of Interest The authors declare that they have no conflicts…
subject: Research Articles
  topic: section
subject: natural wall cladding stone
  topic: keywords
subject: energy-efficient building
  topic: keywords
subject: ANSYS analysis
  topic: keywords
subject: analytic hierarchy approach
  topic: keywords
creator: Figen Balo
creator: Ünal Yılmaz
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-04-09
publication date: 2026-04-09
starting page: 1
ending page: 15
doi: 10.47852/bonviewAAES62028772

Numerical Investigation of Low-Frequency Sound Absorption in Micro-perforated Panel–Porous Composite Structures
type: item
description: This study conducts a numerical analysis of low-frequency sound absorption in micro-perforated panels (MPPs) and porous composites using the finite element method within COMSOL Multiphysics 6.2. The primary aim is to optimize the acoustic performance of MPP-based composite structures by systematically refining key design parameters, including hole diameter, perforation ratio, panel thickness, and air gap depth in combination with a porous layer. The research follows a multi-phase approach to evaluate the effects of these parameters and their interactions in various configurations. First, the influence of MPP characteristics on sound absorption coefficient was examined with a focus on optimizing to achieve maximum performance. Second, the integration of porous composite layers with MPPs in two distinct stacking configurations was explored: one with the porous layer placed behind and in front of the MPP. The third phase investigated the role of an air layer, analyzing the effects of varying its thickness and positioning to optimize impedance matching and enhance low-frequency sound absorption. Additionally, the impact of an additional air gap between layers was examined to identify configurations that maximize broadband absorption. The findings reveal that a strategic combination of MPPs, porous composites, and optimally positioned air gaps significantly enhances low-frequency sound absorption (50–1000 Hz). Results indicate that fine-tuning MPP perforation characteristics, in conjunction with carefully selected porous materials and well-calibrated air gaps, leads to a marked improvement in overall absorption efficiency. This study establishes a novel framework for designing highperformance acoustic panels, offering innovative solutions for noise control in architectural, transportation, and industrial applications. Received: 13 December 2025 | Revised: 10 March 2026 | Accepted: 24 March 2026 Conflicts of Interest The authors declare that they have no conflicts of inte…
subject: Research Articles
  topic: section
subject: low-frequency sound absorption
  topic: keywords
subject: micro-perforated panels (MPP)
  topic: keywords
subject: finite element method (FEM)
  topic: keywords
subject: COMSOL
  topic: keywords
subject: Delany–Bazley model
  topic: keywords
creator: Majid Mohammadi
creator: Armin Hashemi
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-04-13
publication date: 2026-04-13
starting page: 1
ending page: 16
doi: 10.47852/bonviewAAES62028673

Consolidation Behavior of Soft Clays with Permeability Anisotropy: A Finite Element Study
type: item
description: The stratified nature of natural soft clay deposits fundamentally contradicts the assumption of isotropic permeability inherent in conventional consolidation theories. It assumes that the horizontal permeability coefficient (kx) equals the vertical coefficient (ky), although in reality, the ratio kx/ky can be as high as 50. A further shortcoming of the theory is that the settlements and water runoff in the soil are only assumed to occur in the vertical direction and a horizontal expansion of the soil is not possible. This study systematically elucidates the coupled effects of permeability anisotropy and model geometry on the consolidation process through 2D finite element analysis. The findings demonstrate that neglecting horizontal permeability leads to a significant overestimation of the consolidation rate and prove that the "critical width ratio" in finite element method analysis is a dynamic parameter dependent on the degree of anisotropy. Although limited to the investigated parameter range. This research provides a novel perspective on the integration of anisotropic parameters into numerical modeling for economical and safe geotechnical design. The predictive capability of the proposed regression equations encourages future investigations. Received: 25 November 2025 | Revised: 12 February 2026 | Accepted: 6 March 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study Author Contribution Statement Muhammet Murat Özev: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Recep Akan: Conceptualization, Methodology, Validation, Writing – review & editing, Supervision, Project administration.
subject: Research Articles
  topic: section
subject: soft clay
  topic: keywords
subject: hydraulic anisotropy
  topic: keywords
subject: critical width ratio
  topic: keywords
subject: multiple regression models
  topic: keywords
subject: finite element analysis
  topic: keywords
creator: Muhammet Murat Özev
creator: Recep Akan
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-03-20
publication date: 2026-03-20
starting page: 1
ending page: 10
doi: 10.47852/bonviewAAES62028403

Development of an Expert System Calculator for Pediatric Blood Draw: A Conceptual Study
type: item
description: This study demonstrates the feasibility and potential clinical value of a rule-based expert system for optimizing blood collection in pediatric patients, a population uniquely susceptible to iatrogenic anemia due to limited circulating blood volume and frequent laboratory testing. By systematically mapping ordered laboratory tests to tube-specific analytical and dead-volume requirements and applying patient-specific safety constraints based on weight and hematocrit, the system provides quantitative decision support at the time of test ordering. Evaluation using a simulated pediatric cohort (n = 20) representative of endocrine testing workflows showed that blood draw volumes were maintained within established safety thresholds in 16 of 20 cases (80%). Across the cohort, the optimized strategy achieved a mean reduction of 9.36 mL in total blood volume compared with standard collection practices. In the remaining cases, where optimization was not feasible due to extensive test panels or severely limited allowable blood volume, the system appropriately identified threshold violations and generated warning outputs rather than unsafe recommendations. These results highlight the system’s ability to both reduce unnecessary phlebotomy and reliably flag high-risk scenarios. Overall, this work establishes a transparent and reproducible technical framework for expert system–based optimization of pediatric blood draws and supports its future integration into clinical laboratory workflows to enhance patient safety and reduce avoidable blood loss. Received: 22 November 2025 | Revised: 4 January 2026| Accepted: 21 January 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Sihe Wang: Conceptualization, Methodology, Software, Investigation, Resources, Data curation, Writing – review & editing, Visualizati…
subject: Research Articles
  topic: section
subject: expert system
  topic: keywords
subject: phlebotomy optimization
  topic: keywords
subject: artificial intelligence
  topic: keywords
subject: blood draw
  topic: keywords
subject: venipuncture decision support
  topic: keywords
creator: Sihe Wang
creator: Richard Desatnik
creator: Motaz Hassan
creator: Amanpreet Singh Wasir
creator: Ajay Mahajan
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-02-05
publication date: 2026-02-05
starting page: 1
ending page: 11
doi: 10.47852/bonviewAAES62028359

Analysis of Initial Stress and Linearly Variable Amplitudes of Corrugated Surface on a Fibre-Reinforced Solid Under Magnetic Field and Linearly Varying Impedance
type: item
description: A mathematical model analyzing the effects of initial stress and variable amplitudes of corrugation for stresses and displacements of surface waves on a fiber-reinforced half-space under a magnetic field and inhomogeneous impedance existing as a linearly varying impedance is proposed. Constitutive equations of homogeneous fiber-reinforced material are utilized in formulating the dynamical equations while incorporating the components of the magnetic field owing to Maxwell's theory of electromagnetism. The normal mode method paved the way in deriving the analytical solution vis-à-vis the stresses and displacements after suitable boundary conditions in terms of linearly varying impedance and linearly varying amplitudes of corrugation (existing as trigonometric Fourier series of diverse heights) were formulated and utilized. Utilizing Mathematica 11, derived stresses and displacements were graphically presented, thus demonstrating the variations of the interacting physical parameters of initial stress, variable amplitudes of corrugation, magnetic fields, and the inhomogeneous impedance. The combined fields' quantities of the model such as the linearly varying impedance and amplitudes of corrugated surface, magnetic field, and initial stress exhibited enormous physical influences on the stresses and displacements of the surface waves on the material. The gradient factor associated with the linearly varying impedance results to a decrease in the behavior of the stresses and displacements on the material when increased. However, an increase in one of the parameters associated with variable amplitudes of corrugation caused an upward trend in the stresses and displacements of the waves. Particular cases are observed from the literatures if we neglect some parameters of variable amplitudes and impedance. Received: 1 October 2025 | Revised: 21 January 2026 | Accepted: 27 February 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this wor…
subject: Research Articles
  topic: section
subject: varying impedance
  topic: keywords
subject: linearly varying corrugation
  topic: keywords
subject: magnetic field
  topic: keywords
subject: fiber reinforcement
  topic: keywords
subject: initial stress
  topic: keywords
creator: Augustine Igwebuike Anya
creator: Ugochukwu David Uche
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-03-20
publication date: 2026-03-20
starting page: 1
ending page: 13
doi: 10.47852/bonviewAAES62027810

Forecasting Licensed Athletes Numbers Using Time Series and Hybrid Artificial Intelligence Models
type: item
description: This study comparatively applied four distinct time series and artificial intelligence-based forecasting models to predict the short-term number of licensed athletes in Türkiye: Autoregressive Integrated Moving Average (ARIMA), Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM), Extremely Boosted Gradient Decision Trees with Long Short-Term Memory (XGBoost-LSTM), and gated recurrent unit with random forest (RF-GRU). Models were trained using data from 2005 to 2019; forecasts for the years 2020-2024 were subsequently compared with actual values. The ARIMA model demonstrated the highest predictive efficacy, achieving a coefficient of determination of 0.9633, a mean square error of 0.1056, and a mean absolute error of 0.1990. The CNN-LSTM model exhibited a coefficient of determination of 0.9771 and a mean absolute percentage error of 5.68%. The remaining two hybrid models (XGBoost-LSTM and RF-GRU) exhibited inferior accuracy, accompanied by comparatively elevated error levels. The results underscore the significance of data-driven decision-making in sports policy and provide scholarly contributions to strategic planning. Received: 28 September 2025 | Revised: 25 November 2025 | Accepted: 11 December 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Halil S¸enol: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Halil Çolak: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.
subject: Research Articles
  topic: section
subject: number of athletes
  topic: keywords
subject: time series
  topic: keywords
subject: deep learning
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: forecasting
  topic: keywords
creator: Halil Şenol
creator: Halil Çolak
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-12-25
publication date: 2025-12-25
starting page: 1
ending page: 12
doi: 10.47852/bonviewAAES52027778

Predictive Modeling of Public Sentiment Toward MONUSCO's Mandate: A Machine Learning Approach
type: item
description: In eastern Democratic Republic of the Congo, persistent insecurity and protracted armed conflict have intensified public dissatisfaction with the United Nations Organization Stabilization Mission in the Democratic Republic of the Congo (MONUSCO). In Butembo, debates over renewing MONUSCO's mandate have become increasingly contentious, yet empirical evidence on the determinants of public opposition remains limited. This study addresses this gap by using machine learning to predict refusal to extend MONUSCO's mandate from primary survey data. A cross-sectional quantitative survey was conducted among 5518 respondents in Butembo using a structured questionnaire comprising 28 items on sociodemographic characteristics and perceptions of MONUSCO's performance and local security conditions. After excluding the outcome variable, exploratory factor analysis identified latent structures in the data. Fifteen variables with factor loadings above 0.40 were retained and grouped into two dimensions: sociodemographic factors and self-conviction factors. These variables were then used to train and test three classifiers: decision tree, logistic regression, and support vector machine (SVM). SVM yielded the best predictive performance, achieving 93.1% accuracy on the held-out test set, compared with 90.8% for logistic regression and 89.6% for decision tree. The best-performing model was further deployed in a Flaskbased web prototype for real-time prediction. Overall, the study demonstrates the value of combining latent variable modeling and machine learning to analyze public opinion in conflict-affected settings. Received: 26 September 2025 | Revised: 3 March 2026 | Accepted: 24 March 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The data that support the findings of this study are openly available in Kaggle at https://www.kaggle.com/datasets/staniherstaniher/monusco-dataset-butembo Author Contribution S…
subject: Research Articles
  topic: section
subject: machine learning algorithms
  topic: keywords
subject: contextual factors
  topic: keywords
subject: sociodemographic factor
  topic: keywords
subject: self-conviction factor
  topic: keywords
subject: prediction of social facts
  topic: keywords
creator: Héritier Nsenge Mpia
creator: Moïse Kambale Kasambya
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-04-14
publication date: 2026-04-14
starting page: 1
ending page: 12
doi: 10.47852/bonviewAAES62027763

Metal Cutting Data Integration with Different Contact and Friction Conditions, Kinematics, Tool Geometry, and Temperatures
type: item
description: The data integration with additional artificial intelligence (AI) creates a lot of interest in industry as well as in the scientific world. The aim is to determine the complete production result before processing. But before we develop the complicated mathematical algorithm for creating a relevant digital machining process, the true nature of the process must be understood. A systematic analysis of the existing metal machining process reveals several different problem areas with an interdependent relationship. There is a metal deformation process that depends on the existing material properties influenced by stress, strain rate, hydrostatic pressure, and temperature. This problem area will be mathematically described and result in adequate equations for the stress and strain-rate situation for developing the existing plastic deformation. The next problem area is determined by the physical relation of contact and friction around the tool. Why do built-up edge, built-up layer, and material flow blockade occur at the tool, and what are the consequences of all these phenomena on the cutting process? Furthermore, where does the dynamic process come from, accompanied by dynamic forces and resulting in different temperatures and discontinuous chip flow? All this will be discussed in this paper and presented with practical evidence. Received: 21 August 2025 | Revised: 3 November 2025 | Accepted: 17 November 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Wolfgang Lortz: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.
subject: Research Articles
  topic: section
subject: metal cutting data-integration
  topic: keywords
subject: contact and friction condition
  topic: keywords
subject: cutting velocity and tool geometry
  topic: keywords
creator: Wolfgang Lortz
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 1
ending page: 11
doi: 10.47852/bonviewAAES52027300

Performance Optimization of Multi-Band Microstrip Antennas Using Support Vector Regression for Wireless Communications
type: item
description: The increasing demand for compact, high-performance antennas capable of supporting multiple wireless communication standards has driven the development of multiband microstrip antennas. This research presents the design, simulation, and optimization of a multiband microstrip patch antenna operating at 2.4 GHz, 3.5 GHz, and 5.3 GHz, targeting applications in Wi-Fi and WLAN systems. The antenna structure is designed and analyzed using CST Microwave Studio, leveraging its full-wave 3D electromagnetic solver to evaluate key performance metrics including reflection coefficient (S11), gain, bandwidth, and radiation characteristics. To enhance the antenna's performance and reduce the design iteration cycle, support vector regression (SVR), a supervised machine learning technique, is employed. SVR models the nonlinear relationship between the antenna's geometric parameters and its performance outcomes, enabling efficient prediction and optimization. A dataset of 1844 samples is generated through parametric simulations in CST, and the SVR model—using a radial basis function kernel with C = 300, ε = 0.00000000025, and γ = 0.5—is trained to predict return loss and gain across the three target frequencies. The optimized antenna design achieves improved impedance matching, gain enhancement, and bandwidth control at all three frequency bands. Power transfer efficiency exceeds 96% in each band. The results demonstrate that the integration of SVR into the antenna design workflow provides a robust, data-driven approach to achieving multiband performance with high efficiency, making it suitable for next-generation wireless communication systems. Received: 11 August 2025 | Revised: 15 October 2025 | Accepted: 27 November 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Nejat Abdulwahid Hassen: Conceptual…
subject: Research Articles
  topic: section
subject: multi-band microstrip antenna
  topic: keywords
subject: support vector regression (SVR)
  topic: keywords
subject: RBF kernel
  topic: keywords
subject: antenna optimization
  topic: keywords
subject: machine learning in electromagnetics
  topic: keywords
subject: CST microwave studio
  topic: keywords
subject: RF design automation
  topic: keywords
creator: Nejat Abdulwahid Hassen
creator: Adomeas Asfaw Tafere
creator: Murad Ridwan Hassen
creator: Tsega Asresa Mengistu
creator: Mekete Asmare Huluka
creator: Amsalu Tessema Adgeh
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 1
ending page: 12
doi: 10.47852/bonviewAAES52027159

Accurate Prediction of Peak Ground Acceleration Using Random Forests: A Data-Driven Approach with PEER Updated NGA-WEST2 Ground Motion Records
type: item
description: Accurate prediction of peak ground acceleration (PGA) is crucial for seismic hazard assessment and earthquake-resistant design.Traditional regression-based ground motion prediction equations often fall short in capturing the complex, nonlinear interactions among earthquake parameters. This study proposes a machine learning approach using a random forest (RF) model to predict PGA based on five key input variables: moment magnitude (Mw), closest distance to the rupture plane (ClstD), hypocentral depth, rake angle, and average shear wave velocity in the top 30 meters (Vs30). A comprehensive dataset of 16,211 ground motion records from the Pacific Earthquake Engineering Research Center (PEER), Updated NGA-WEST2 Flatfile was used. The RF model was optimized through Grid Search and 5-fold cross-validation, achieving high predictive performance with R² scores of 0.948 on training data and 0.928 on test data. Feature importance analysis indicated Mw and ClstD as the most influential parameters. The study demonstrates the robustness, accuracy, and generalization capability of the RF model, confirming its potential as a valuable tool in seismic risk analysis and providing a foundation for future development of more adaptable, data-driven models in earthquake engineering. Received: 24 July 2025 | Revised: 25 November 2025 | Accepted: 5 December 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Asadullah Ziar: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Project administration. Ender Basari: Conceptualization, Validation, Writing - review & editing, Supervision.
subject: Research Articles
  topic: section
subject: peak ground acceleration
  topic: keywords
subject: random forest
  topic: keywords
subject: pacific earthquake engineering research (PEER)
  topic: keywords
subject: machine learning
  topic: keywords
subject: ground motion prediction equations (GMPEs)
  topic: keywords
creator: Asadullah Ziar
creator: Ender Basari
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-12-17
publication date: 2025-12-17
starting page: 1
ending page: 9
doi: 10.47852/bonviewAAES52026930

A Case Study on Sustainable Transition as Strategic Policies for Solar Energy
type: item
description: Production of electricity by burning fossil fuels like natural gas to generate electricity releases carbon dioxide (CO2) into the atmosphere. The combustion process produces CO2, which is trapped to lead to global warming and climate change. Different fossil fuels release different amounts of CO2 based on carbon content and the amount of energy released. This paper gives techno-economic analysis of photovoltaic (PV) solar systems as a mitigation option at the grand scale, as well as data-intensive analysis of CO2 emissions in Bahrain's fossil fuel-dominated power sector. One observation of major importance is that there is a net abatement of 1.2 ± 0.15 metric tons CO2/MWh and levelized cost savings of 27% if PV deployment is combined with innovative storage for replacing 38-42% of conventional generation. Technical feasibility of PV is supported by cross-validation of the records of past emissions using quadratic multinomial regression, which yields strong predictive correlations (*p* < 0.05, R2 = 0.89). The evidence indicates that policymakers enhance the application of PV in Gulf Cooperation Council member states while advancing socioeconomic goals in national visions (e.g., Bahrain's Vision 2030) and climate goals in the Paris Agreement. Two strategic scenarios were proposed and evaluated in this study: the first is based on Bahrain Vision 2030, and the second is based on Bahrain Vision 2050. Scenario-based projections extract a feasible roadmap for decarbonization that aims at 2060 as the year to produce carbon-neutral electricity and 45% of renewable energy integration by 2030. Finally, the second scenario will help Bahrain by the year 2060 to reach net-zero emissions. Received: 11 July 2025 | Revised: 24 September 2025 | Accepted: 29 September 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contributi…
subject: Research Articles
  topic: section
subject: carbon dioxide
  topic: keywords
subject: electrical energy
  topic: keywords
subject: photovoltaic
  topic: keywords
subject: solar balls
  topic: keywords
subject: solar power
  topic: keywords
subject: sustainable power
  topic: keywords
creator: Isa S. Qamber
creator: Salwa Baserrah
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-10-15
publication date: 2025-10-15
starting page: 1
ending page: 9
doi: 10.47852/bonviewAAES52026759

Numerical Study on Toppling Mechanisms of Crane and Pile Driver Based on Structural Stability Theory
type: item
description: This paper presents a numerical investigation into the theoretical safety criteria for the toppling of cranes and pile drivers by providing sample calculations and expanding on previously published theoretical work, in which the fundamental elements, such as the structural model, the classification of toppling modes, etc., are developed. It is believed that the frequent occurrences of crane and pile driver toppling are closely related to structural instability within their toppling mechanisms. The conventional evaluation method for toppling stability, which is based on the overturning moment approach, may not sufficiently address the mechanisms of toppling on soft ground. In fact, many toppling accidents show signs of inadequate ground strength, such as ground failure. This issue likely involves not only a lack of ground strength to withstand the bearing pressure from crawlers or outriggers but also insufficient deformation performance (stiffness) of the ground. In structural stability theory, an important factor in assessing the required ground stiffness is the height of the applied load. Conventional toppling stability assessments assume that if the overturning moment is the same, the stability will also be the same. However, from the perspective of structural stability theory, toppling can occur even when the overturning moment is zero in extreme cases with weak ground stiffness and large load height. This study aims to look for the influence on the toppling mechanism by presenting sample calculations for a simple analytical model under various operational conditions—including load height, ground stiffness, and working radius—to better define the criteria for toppling. Received: 14 May 2025 | Revised: 17 July 2025 | Accepted: 9 September 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statem…
subject: Research Articles
  topic: section
subject: toppling mechanism
  topic: keywords
subject: crane toppling
  topic: keywords
subject: pile drivers
  topic: keywords
subject: structural stability
  topic: keywords
subject: soft foundation
  topic: keywords
subject: toppling safety
  topic: keywords
subject: toppling criteria
  topic: keywords
creator: Shouji Toma
creator: Wai Fah Chen
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 1
ending page: 14
doi: 10.47852/bonviewAAES52026150

Vehicle Dynamics with RecurDyn Based on the TMeasy Tire Model
type: item
description: The analysis of critical driving maneuvers, the development of control systems, and the introduction of autonomous driving functions rely on virtual simulation environments. Vehicles are commonly modeled using multibody systems supported by commercial software that enables efficient setup, testing, and simulation. A functional vehicle model consists of rigid or flexible bodies, joints, and force elements. Passenger cars and trucks typically follow standardized model structures composed of predefined submodels such as drivetrain, steering, and suspension. Special-purpose vehicles, however, represent a much broader range of multibody systems, from simple rigid models to complex configurations with flexible components and moving contacts. The RecurDyn software package addresses this diversity and includes an integrated finite element solver, making it suitable for advanced vehicle simulations. In all cases, the vehicle model must be complemented by an appropriate tire model. Tire models are commonly divided into comfort and handling models. Comfort tire models are highly complex and require extensive measurements, while handling tire models use semi-physical approaches to approximate steady-state tire behavior with analytical functions and simplified dynamics. Most established handling models are tailored to passenger car tires. The TMeasy tire model, originally developed for agricultural tractor tires, uses physical parameters that can be derived from measurements or estimated by experienced engineers, which is especially beneficial when data are scarce. Its three-dimensional slip formulation ensures smooth transitions between standstill and motion. Combined with RecurDyn, TMeasy enables the simulation of a wide range of vehicles, particularly special-purpose vehicles with unconventional tires. Received: 1 April 2025 | Revised: 29 December 2025 | Accepted: 2 February 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. D…
subject: Research Articles
  topic: section
subject: multibody systems
  topic: keywords
subject: rigid and flexible bodies
  topic: keywords
subject: TMeasy tire model
  topic: keywords
subject: finite elements
  topic: keywords
subject: moving contacts
  topic: keywords
creator: Uwe Eiselt
creator: Thomas Kelichhaus
creator: Georg Rill
rights: Copyright (c) 2026 Authors https://creativecommons.org/licenses/by/4.0
date: 2026-02-26
publication date: 2026-02-26
starting page: 1
ending page: 15
doi: 10.47852/bonviewAAES62025811

Privacy Risks in the Adoption of IoT: A Quantitative Study on Data Exposure in Costa Rica
type: item
description: This research employs a mixed-methods approach, combining quantitative surveys (n = 84) and device-level vulnerability assessments, to investigate the interaction between Internet of Things (IoT) adoption, user awareness, and security practices. It addresses the growing privacy concerns associated with IoT devices in Costa Rican homes. The objective of the study was to identify the main problems in the area of privacy, along with evaluating user behavior and suggesting specific mitigation measures in the context of the Gran Área Metropolitana. While multivariate analysis (Adj. R2 = 0.48) underlined education as a major predictor of security procedures, Spearman's correlation (ρ = 0.53, p < 0.001) methodologically showed a modest positive link between IoT device count and perceived privacy issues. Among the main results are a 24% awareness-practice gap, with 85% of respondents having IoT knowledge but 31% keeping default passwords, and device audits revealing 68% of tested devices with unpatched Common Vulnerabilities and Exposures. The research finds regional socioeconomic elements, like urbanicity (β = 0.09, p = 0.21) and old device prevalence (41% with deprecated software), aggravate risks beyond global standards. Among the suggestions are blockchain-based patching, Internet Service Provider-mediated inspections, and IoT security labeling. Among the drawbacks are the cross-sectional design and self-reporting bias, which call for longitudinal follow-ups. Future studies should investigate cross-national comparisons and behavioral interventions to confirm the framework in comparable developing countries. By including technical and socio-behavioral insights, this research enhances the IoT privacy discussion and provides practical policy and technology answers. Received: 9 March 2025 | Revised: 17 July 2025 | Accepted: 19 August 2025 Conflicts of Interest The author declares that he has no conflicts of interest in this work. Data Availability Statement Data sharing is …
subject: Research Articles
  topic: section
subject: cybersecurity risks
  topic: keywords
subject: data privacy
  topic: keywords
subject: emerging economies
  topic: keywords
subject: household IoT adoption
  topic: keywords
subject: Internet of Things (IoT)
  topic: keywords
subject: smart devices
  topic: keywords
creator: Gabriel Silva-Atencio
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-09-10
publication date: 2025-09-10
starting page: 1
ending page: 15
doi: 10.47852/bonviewAAES52025635

Competitive Intelligence Review: Evolution and Trends of AI-Based Microprocessors
type: item
description: This research investigates how artificial intelligence (AI) is changing microprocessor design and industrial competitiveness using a mixed-methods approach that combines systematic literature research (861 Scopus-indexed articles spanning 2015-2025) and patent analysis. The study goals emphasize (1) assessing architectural changes toward AI specialization, (2) examining vendor tactics, and (3) spotting sector-specific adoption obstacles. The study assessed trends methodologically using PRISMA-guided document screening, NVivo-based theme coding (Krippendorff's α=0.82), and statistical analysis (χ² tests, linear regression). While small and medium enterprise (SME) adoption is behind 3.2× because of $540 M+ 5 nm development expenses, key findings show that 58.88% of current designs are AI-optimized (14.7× increase since 2015) with Google's Tensor Processing Units attaining 2.8× greater energy efficiency than graphics processing units. AI has significantly, in our opinion, significantly changed microprocessor invention paths, hence producing different vendor tactics (NVIDIA's acceleration vs. Intel's hybrid approach) and new market obstacles. Strategic advice calls for unifying AI processor benchmarks and building modular architectures for SMEs. Future studies should examine 3 nm/2 nm node economics, photonic/neuromorphic substitutes, and ethical consequences of AI hardware in sensitive uses. With implications for semiconductor policy and research and development priorities, this study offers a verified methodology for evaluating AI's contribution to upholding Moore's law under physical scaling restrictions. Received: 5 March 2025 | Revised: 27 April 2025 | Accepted: 3 June 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Gabriel Silva-Atencio: Conceptualization, Methodology, Softw…
subject: Research Articles
  topic: section
subject: AI processors
  topic: keywords
subject: competitive intelligence
  topic: keywords
subject: Moore's law
  topic: keywords
subject: semiconductor economics
  topic: keywords
subject: architectural innovation
  topic: keywords
subject: design automation
  topic: keywords
creator: Gabriel Silva-Atencio
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-06-27
publication date: 2025-06-27
starting page: 1
ending page: 18
doi: 10.47852/bonviewAAES52025603

Access Restricted: A Study of Broken Access Control Vulnerabilities
type: item
description: Broken access control vulnerability is ranked No.1 in OWASP Top 10 list in 2021. This means that it is the most commonly used exploited weakness in the web applications by attackers today. Because if an attacker can exploit this vulnerability, they can gain control rights and potentially compromise the entire web application. From that point forward, the attacker can execute various attacks depending on their objectives. That’s what makes it the most purposeful. In this research, we will reveal the security vulnerability of the access control in a web applications system. We will explore case studies of real-world attacks that leverage broken access control, providing a contextual understanding of the impact and implications of these vulnerabilities. Through this research, we aim to contribute to the ongoing efforts to enhance web application security and mitigate the risks associated with broken access control vulnerabilities. We will examine vulnerabilities in web applications that attackers can use to compromise access. Finally, we discuss the protection and security measures that should be taken against attackers who use this vulnerability. Received: 2 August 2024 | Revised: 15 January 2025 | Accepted: 18 February 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Sadeeq Jan: Methodology, Formal analysis, Supervision. Safi Ullah Khan: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Project administration. Abdul Wahab: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Project administration. Dr. Mohammad: Investigation…
subject: Research Articles
  topic: section
subject: broken access control
  topic: keywords
subject: OWASP Top 10
  topic: keywords
subject: web application security
  topic: keywords
subject: vulnerability exploitation
  topic: keywords
subject: attack vectors
  topic: keywords
subject: security vulnerabilities
  topic: keywords
subject: access control mechanisms
  topic: keywords
creator: Sadeeq Jan
creator: Safi Ullah Khan
creator: Abdul Wahab
creator: Dr. Mohammad
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-03-11
publication date: 2025-03-11
starting page: 1
ending page: 6
doi: 10.47852/bonviewAAES52024016

Practical Sensor Performance and Methodology for Measuring Permittivity of Dielectric Plates in the Microwave Frequency Range
type: item
description: A wide range of microwave devices, particularly those intended for use in telecommunication systems, are manufactured using printed circuit board technology. Designing such devices requires precise knowledge of the properties of the dielectric plates used. In this article, the authors propose a very easy-to-manufacture measuring device that combines the nondestructive testing inherent in the free space method with the ability to achieve the accuracy of the resonance method. Two factors provide the advantages of the proposed installation: the peculiarities of the plates' geometric structure and software processing of the measurement results. One- and two-port designs are considered, and the features of the corresponding algorithms for processing measurement data are investigated. The results of electrodynamic modeling of strip-line fixtures in the CST Studio Suite environment confirm their operability and the possibility of providing sufficiently high sensitivity when measuring the complex permittivity of plates made of various materials. Areas for future research are discussed. Received: 12 January 2025 | Revised: 13 May 2025 | Accepted: 14 July 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Yuri Choni: Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review & editing, Visualization. Vladimir Lavrushev: Methodology, Software, Formal analysis, Investigation, Visualization. Alexander Avksentev: Software, Formal analysis, Writing - review & editing.
subject: Research Articles
  topic: section
subject: printed microwave circuit
  topic: keywords
subject: dielectric plate
  topic: keywords
subject: complex permittivity
  topic: keywords
subject: measuring
  topic: keywords
subject: installation
  topic: keywords
subject: sensitivity
  topic: keywords
creator: Yuri Choni
creator: Vladimir Lavrushev
creator: Alexander Avksentev
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 1
ending page: 7
doi: 10.47852/bonviewAAES52025202

Investigating the Steel Fiber of Waste Tires to Enhance the Properties of Concrete Ground Slabs
type: item
description: This research aims to demonstrate the potential and viability of investing in smooth steel fibers extracted from waste tires for concrete works such as factory ground slabs and airstrip slabs, exposed to soil–structure interaction under live loads and the reciprocal alternation between tension and compression stresses. To show this viability, samples of fiber concrete and plain concrete were prepared and tested for compression, bending, and splitting loads. The main problem was the physical stability of samples and effective coherence between the concrete and the steel fibers during loading; thus, to analyze the laboratory results and assess the impact of fibers on mechanical properties of concrete under compression load, a method has been proposed to evaluate the effective ductility of fiber concrete and to calculate "the toughness and toughness index," taking into account the discontinuity and the physical destabilization of the sample state observed during the loading in the post-elastic stage. The analysis of the experimental results has shown satisfactory improvement in the behavior of concrete under compression and tension loads in the elastic domain, as well as a significant increase in its ductility and toughness in the plastic domain by two to four times compared to plain concrete. Likewise, this research shows that the inclusion of steel fiber enhances the mechanical properties of plain concrete by more than three times under splitting and flexure. This work resulted in its objectives where experimental tests proved the feasibility of investing in this raw material classified as a pollutant left freely in nature; on the other hand, the statistical analysis of the experimental results showed the best characteristics of fibers in terms of length, slenderness, and volume ratio to have a high range of fiber concrete for ground slab. Received: 19 December 2024 | Revised: 14 March 2025 | Accepted: 7 April 2025 Conflicts of Interest The author declares that he ha…
subject: Research Articles
  topic: section
subject: smooth steel fibers
  topic: keywords
subject: waste tires
  topic: keywords
subject: ductility
  topic: keywords
subject: effective toughness
  topic: keywords
subject: effective toughness index compression strength
  topic: keywords
subject: tension strength
  topic: keywords
subject: spilling strength
  topic: keywords
creator: Afif Rahma
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 102
ending page: 112
doi: 10.47852/bonviewAAES52025040

Strengthening and Toughening Mechanisms of Continuous SiC Fiber-Reinforced TiAl4822/Ti6Al4V Layered Composite Prepared by Hot Pressing
type: item
description: In order to improve the intrinsic brittleness of TiAl4822, Ti6Al4V alloy with outstanding ductility and toughness can be applied as a competitive candidate by constructing the TiAl4822/Ti6Al4V laminated composite. Continuous SiC fibers were introduced into the laminated composite to further enhance the comprehensive performance of the laminated composite. Using SiC fibers, TiAl4822 foil, and Ti6Al4V foil as raw materials, continuous SiC fiber-reinforced TiAl4822/Ti6Al4V layered composite material was fabricated through a vacuum hot-pressing method using the foil-fiber-foil method. A phase-structured interface with a specific sequence was formed between SiC fiber and Ti6Al4V matrix, exhibiting a thickness of 6 μm. A dense bonding interface between TiAl4822 and Ti6Al4V with a thickness of about 80 μm was obtained. No evident cracks or holes were observed at the interface. The resulting SiC fiber-reinforced composite material exhibited superior mechanical properties compared to the traditional TiAl4822/Ti6Al4V layered composite material. Specifically, relative to the unreinforced TiAl4822/Ti6Al4V composite, it had a tensile strength of 727.65 MPa (14.3% improvement), elongation at break of 1.42% (20.3% improvement), elastic modulus of 176 GPa (30.4% improvement), and flexural strength of 1353.6 MPa (21.5% improvement). Received: 7 December 2024 | Revised: 14 March 2025 | Accepted: 15 April 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Hongyan Wu: Writing – original draft. Shouyin Zhang: Conceptualization, Investigation, Resources, Data curation, Writing – review & editing. Kun Zhang: Methodology, Formal analysis, Writing – original draft. Baiping Lu: Supervision. Zhenjun Wang: Visualization, Funding acquisition.
subject: Research Articles
  topic: section
subject: SiC fiber-reinforced
  topic: keywords
subject: TiAl4822/Ti6Al4V layered composite
  topic: keywords
subject: interface evolution
  topic: keywords
subject: hot pressing
  topic: keywords
creator: Hongyan Wu
creator: Shouyin Zhang
creator: Kun Zhang
creator: Baiping Lu
creator: Zhenjun Wang
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-05-08
publication date: 2025-05-08
starting page: 1
ending page: 10
doi: 10.47852/bonviewAAES52024981

A Comparative Study of WebAssembly Runtimes: Performance Metrics, Integration Challenges, Application Domains, and Security Features
type: item
description: WebAssembly (Wasm), originally developed as a web-focused technology, has evolved into a versatile runtime environment capable of executing code efficiently across web-based and standalone systems. This survey provides a comprehensive analysis of Wasm runtimes, categorizing them into two primary groups: integrated runtimes, which function within web browsers, and standalone runtimes, which operate independently of browsers. Integrated runtimes, such as those found in Chrome, Firefox, Safari, and Edge, execute Wasm binaries through JavaScript engines, allowing interaction with web application programming interfaces while maintaining a secure execution model. Standalone runtimes like Wasmtime, Wasmer, WebAssembly Micro Runtime, WasmEdge, and Wasm3 operate independently of browsers, serving various applications, including edge computing, Internet of Things, and embedded systems. We explore each runtime's performance characteristics, highlighting their execution modes, such as interpretation, Just-In-Time compilation, and Ahead-of-Time compilation, and their ability to handle resource-constrained environments. Our findings provide valuable insights for developers, researchers, and industry professionals seeking to leverage Wasm for optimized performance, scalability, and security across diverse technological landscapes. Received: 4 December 2024 | Revised: 21 February 2025 | Accepted: 1 April 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Mircea Țălu: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.
subject: Research Articles
  topic: section
subject: edge computing
  topic: keywords
subject: embedded systems
  topic: keywords
subject: IoT devices
  topic: keywords
subject: standalone runtimes
  topic: keywords
subject: WebAssembly
  topic: keywords
subject: web-based execution
  topic: keywords
creator: Mircea Ţălu
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-04-10
publication date: 2025-04-10
starting page: 1
ending page: 13
doi: 10.47852/bonviewAAES52024965

Tensile Behaviour of Steel Joints Implemented by Bolts and Adhesive
type: item
description: Joints are the weakest points of given mechanical structures. Therefore, multiple joining methods are applied, and joints are dealt with special care to extend the life of the structures. Hybrid joints are seen to improve the performance of the joints significantly, especially for composite–metal joints. The hybrid joints, as well as non-hybrid lap joints made of bolts and adhesive to join steel plates, were investigated in this article. The role of the joining method (hybrid and non-hybrid) and parameters (bolt number and overlap length) in the mechanical strength of the mild steel grade 300 joints were analyzed under tensile loading. Based on the experimental results, it was observed that an increase in the number of fasteners (bolts) increased the tensile strength of the joint if the shear stress on the bolt held its strength. In addition, an increase in overlap distance slightly decreases the tensile strength of the assembly. The assembly with both fasteners and adhesive (hybrid joint) had higher yield strength than the assembly using only fasteners, and the ultimate tensile strength was approximately the same for both joining methods. Received: 20 June 2024 | Revised: 10 February 2025 | Accepted: 28 February 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Alokesh Pramanik: Conceptualization, Formal analysis, Investigation, Resources, Writing - review & editing, Visualization, Supervision. Dinesh Garg: Methodology, Software, Formal analysis, Resources, Writing - original draft, Visualization. Animesh Kumar Basak: Conceptualization, Formal analysis, Resources, Data curation, Writing - original draft, Visualization, Supervision. Chander Prakash: Methodology, Validation, Investigation, Resources, Data curation, Writing - review & editing, Project administration. Subramaniam Shankar: …
subject: Research Articles
  topic: section
subject: adhesive
  topic: keywords
subject: fastener
  topic: keywords
subject: tensile strength
  topic: keywords
subject: hybrid joint
  topic: keywords
creator: Alokesh Pramanik
creator: Dinesh Garg
creator: Animesh Kumar Basak
creator: Chander Prakash
creator: Subramaniam Shankar
creator: Somnath Chattopadhyaya
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-03-21
publication date: 2025-03-21
starting page: 1
ending page: 8
doi: 10.47852/bonviewAAES52023665

Implementation Approaches of Thermoelectric Generator in Photovoltaic System: A Review
type: item
description: Solar energy is one of the viable solutions for global energy demand. To compete with traditional resources, solar cells have to be reliable and cost-effective. This paper reviews the basics of thermoelectric generators (TEGs), including their working principles and main physical properties. TEGs transform heat directly to electricity based on the Seebeck effect, which generates an electric voltage based on the difference in temperature of a material. It presents methods for energy harvesting by using TEGs integrated with photovoltaic (PV) systems and discusses the application and findings of this hybrid model. By converting solar system waste heat or primary heat flow into additional heating, cooling, and electricity, TEGs enhance PV system efficiency. This paper reviews the methods and effects of integrating thermoelectric devices with PV systems, summarizing key findings from previous studies. The paper concludes that the integration of TEGs significantly improves the functionality and efficiency of PV systems, as evidenced by previous studies. Received: 14 November 2024 | Revised: 27 April 2025 | Accepted: 29 May 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Oluwasegun Henry Jaiyeob: Conceptualization, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization. Mohammad Karimzadeh Kolamroudi: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Cemal Kavalcioglu: Validation, Investigation, Writing - original draft, Writing - review & editing. Çağrı Özkan: Software, Writing - original draft, Writing - review & editing. Said EL Khatib…
subject: Review
  topic: section
subject: thermoelectric generators
  topic: keywords
subject: thermoelectric materials
  topic: keywords
subject: waste heat
  topic: keywords
subject: hybrid PV/TEG
  topic: keywords
creator: Oluwasegun Henry Jaiyeoba
creator: Mohammad Karimzadeh Kolamroudi
creator: Cemal Kavalcioglu
creator: Çağrı Özkan
creator: Said EL Khatib
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-06-24
publication date: 2025-06-24
starting page: 1
ending page: 20
doi: 10.47852/bonviewAAES52024806

Review of the Road of Safety in the Years 2001-2023
type: item
description: Polish roadways are seeing an annual increase in the number of automobiles. Even though the frequency of traffic accidents is declining, many individuals lose their lives and suffer serious injuries each year. Driving while intoxicated or under the influence of drugs is the leading cause of traffic accidents and a major problem on Polish roads. Over 80 accidents occur every day on average in recent years, resulting in 7 fatalities and over 1000 injuries. For this reason, it makes sense to examine Poland's road traffic safety situation from 2001 to 2023 in order to make improvements. On the basis of the research carried out, it was found that the highest number of accidents occurs in the holiday months, on Friday, during the day, in the afternoon, in good weather conditions, and in a built-up area on a straight section of road. On the basis of a review of the state of security in Poland in the years 2001-2023, solutions are proposed to improve the state of road safety in Poland. Received: 12 November 2024 | Revised: 15 January 2025 | Accepted: 8 April 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Piotr Gorzelańczyk: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.
subject: Research Articles
  topic: section
subject: traffic accident
  topic: keywords
subject: road traffic collision
  topic: keywords
subject: road safety
  topic: keywords
creator: Piotr Gorzelańczyk
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-05-01
publication date: 2025-05-01
starting page: 1
ending page: 15
doi: 10.47852/bonviewAAES52024784

Techno-Economic Analysis of Hybrid Photovoltaic Systems with Integration of Electrical Vehicles
type: item
description: With the decrease in fossil resources and the increase in oil prices, countries that direct the development of today's technology want to sustain their increasing energy needs with clean and renewable energy sources. When energy is almost a new value, we are coming to times when the load flows on the producer and consumer side are constantly changing and unpredictable with the integration of renewable energy plants and electric vehicles (EV). In the face of this unexpected energy flow, minimizing energy consumption costs and providing the highest benefit and income in this energy cycle are among the main reasons for carrying out this study. This study shows the technological and economic examination of hybrid systems with the integration of electric vehicles charged at different periods in terms of household consumption using PVSyst software. The study examines eight different night- and day-charging behaviors of electric vehicles. As a result, the rates of benefiting from the hybrid systems are revealed in the PVSyst software. The study examines the charging status, charge-discharge energies, and hours of lithium-ion batteries in the hybrid solar energy system, along with the hybrid system's performance. Economic indicators such as internal rate of return (IRR), net present value (NPV), levelized cost of energy (LCOE), payback time, and return on investment (ROI) are analyzed in the study. According to the results, vehicles charged during the daytime generate more income than vehicles charged at night. The highest income was obtained by case 1, with 80% SOC and 3,287,567 TRY NPV, and the lowest income was obtained by case 8, with 20% SOC and 2,549,651 TRY NPV. Another interesting finding is that even if EVs start charging at night at 80% SOC, they provide more profit than vehicles start being charged during the day at 20% SOC. Received: 7 November 2024 | Revised: 10 February 2025 | Accepted: 26 February 2025 Conflicts of Interest The author declares that he has no …
subject: Research Articles
  topic: section
subject: electrical-vehicles
  topic: keywords
subject: batteries
  topic: keywords
subject: Li-ion
  topic: keywords
subject: photovoltaic systems
  topic: keywords
subject: hybrid systems
  topic: keywords
subject: SOC
  topic: keywords
creator: Cihan Karaman
rights: Copyright (c) 2025 Author https://creativecommons.org/licenses/by/4.0
date: 2025-03-21
publication date: 2025-03-21
starting page: 1
ending page: 14
doi: 10.47852/bonviewAAES52024747

Optimization of Biochar Production from Cassava Peels: An Application of Response Surface Methodology
type: item
description: Pyrolysis of agricultural waste to biochar presents a valorization pathway for wastes in an environmentally friendly way. The study focuses on the optimization of biochar production from cassava peels using response surface methodology. Three most important process parameters were considered for optimization: pyrolysis temperature (350-750 °C), heating rate (5-25 °C/min), and reaction time (20-130 min). For that, a Box-Behnken experimental design has been employed to develop a predictive model for biochar yield and other responses of interest: pH, bulk density, and surface area. The developed empirical models for predicting biochar characteristics with high accuracy were validated through diagnostic plots and experimental trials. It was seen that temperature, heating rate, and reaction time substantially affected the yield of the biochar. The maximization resulted in an overall increase in the physicochemical properties of biochars. This study illustrates scalable applications of biochar and establishes the predictive model for real validation experiments for the application of process flow modeling of biomass pyrolysis. This work emphasizes the optimization of parameters in the production of biochar and gives a real platform for the use of agricultural residues in sustainable waste management and environmental remediation. The predictive model developed can be used as an important tool in designing efficient biomass conversion processes. Received: 6 November 2024 | Revised: 16 December 2024 | Accepted: 17 January 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Timothy Adekanye: Conceptualization, Methodology, Validation, Formal analysis, Writing - review & editing, Supervision, Project administration. Abiodun Okunola: Conceptualization, Methodology, Validation, Supervision. Ad…
subject: Research Articles
  topic: section
subject: cassava peel valorization
  topic: keywords
subject: biochar production optimization
  topic: keywords
subject: response surface methodology
  topic: keywords
subject: sustainable waste management
  topic: keywords
creator: Timothy Adekanye
creator: Abiodun Okunola
creator: Adeolu Adediran
creator: Afolabi Tokunbo Yemisi
creator: Aisha Aderibigbe
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-02-13
publication date: 2025-02-13
starting page: 1
ending page: 9
doi: 10.47852/bonviewAAES52024741

Three-Dimensional Vibration Visual Measurement Method Based on Binocular Camera
type: item
description: This paper proposes a three-dimensional micro-vibration measurement method based on amplification and tracking to achieve vibration measurement of the target. In environments with excessive lighting, which can hinder effective target tracking, the method first applies a magnification algorithm to enlarge the target image. The enlarged image is then processed using a stereo matching algorithm to align the left and right camera views. Following this, a tracking algorithm calculates the pixel displacement of the target. Finally, the target's spatial three-dimensional vibration information is derived through dimensional conversion. To address challenges posed by excessive illumination, image preprocessing is applied to extract the target before magnification. Experimental results from three sets of tests demonstrate the method’s high accuracy. When measuring spatial three-dimensional vibration with an amplitude of 0.1 mm, the displacement's root mean square error is 0.0298 mm, and the normalized root mean square error is 11.57%. This new three-dimensional visual measurement method effectively and accurately measures micro-vibration amplitudes. Received: 23 October 2024 | Revised: 8 January 2025 | Accepted: 11 February 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. Author Contribution Statement Liangjun Luo: Conceptualization, Software, Validation, Investigation, Writing - original draft, Writing - review & editing. Shuo Liu: Methodology, Validation, Formal analysis, Investigation, Writing - original draft, Writing - review & editing, Visualization, Project administration. Fei Li: Conceptualization, Methodology, Formal analysis, Data curation, Writing - review & editing. Wenhao Zou: Methodology, Software, Formal analysis, Data curation, Writing - review & editing, Visualization. Xi Wang: Co…
subject: Research Articles
  topic: section
subject: visual measurement
  topic: keywords
subject: micro-vibration
  topic: keywords
subject: amplification
  topic: keywords
subject: tracking
  topic: keywords
subject: spatial vibration displacement
  topic: keywords
creator: Liangjun Luo
creator: Shuo Liu
creator: Fei Li
creator: Wenhao Zou
creator: Xi Wang
creator: Tao Wang
creator: Guoqiang Fu
creator: Caijiang Lu
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-03-12
publication date: 2025-03-12
starting page: 78
ending page: 88
doi: 10.47852/bonviewAAES52024620

Investigations of the Hybrid Effects of the Operational Parameters in the Radial Forging Process Based on the Validation of the Hardness Test
type: item
description: In this study, considering all the parameters in radial forging and a three-dimensional model has been simulated using the finite element method. By implementing an elastoplastic state for the specimen tube, parameters such as friction type, residual stress distribution, effective strain distribution, material flow velocity, its effect on the neutral plate, and the distribution of force in the die have been studied and analyzed. The effects of angle on the quality and characteristics of the specimen and the longevity of the die have also been obtained. Experimental results have been used to confirm the accuracy of the simulation. The results of the hardness test after forging were compared with the simulation results. Good agreement between the results indicates the accuracy of the simulation in terms of hardness. Therefore, this validation allows confirming the other obtained results for the analysis and prediction of various components in the forging process. After the validation and confirmation of the results through the hardness test, the hardness distribution was obtained by considering temperature changes and the effective strain on the specimen. Received: 28 October 2024 | Revised: 2 December 2024 | Accepted: 8 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Saeed Darki: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Project administration. Evgeniy Yurevich Raskatov: Software, Validation, Resources, Supervision.
subject: Research Articles
  topic: section
subject: finite element method
  topic: keywords
subject: radial forging tube
  topic: keywords
subject: residual stress
  topic: keywords
subject: hardness microstructure
  topic: keywords
creator: Saeed Darki
creator: Evgeniy Yurevich Raskatov
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-02-14
publication date: 2025-02-14
starting page: 51
ending page: 64
doi: 10.47852/bonviewAAES52024621

Statistical Analysis of Levelized Round Trip Cost of Grid Scale Electrical Energy Storage in Batteries with Different Chemistries
type: item
description: Electrical energy storage is a crucial component of the clean energy transition for integrating high share of renewable electricity generators into the supply mix. In this study, the round-trip costs of grid scale electrochemical energy storage from 2 up to 24 hours for peak power ratings of 1 MW and 10 MW in lithium-ion LFP, lithium-ion NMC, Pb-acid and vanadium redox flow batteries are compared using their currently projected techno-economic characteristics for year 2030. A statistical approach is used for estimating mean costs and quantifying the uncertainties in these estimates, since many of the techno-commercial features are still evolving and are uncertain. Using Monte Carlo simulations to derive the input parameters, the levelized round trip cost of energy storage is found to vary from Rs 10.73±0.77/kWh(e) to Rs 15.96±1.12/kWh(e) for Li-LFP batteries, Rs 14±1/kWh(e) to Rs 20.3±1.46/kWh(e) for Li-NMC batteries, Rs 19.1±1.39/kWh(e) to Rs 58.3±4.28/kWh(e) for Pb-acid batteries and Rs 18.7±1.37/kWh(e) to Rs 44.2±3.19/kWh(e) for Vanadium redox flow batteries, for the range of input values considered in this study. Through sensitivity analysis and calculation of correlation coefficients, the battery installed capital cost and useful lifetime are found to be the two most influential parameters affecting life cycle electrical energy storage cost. Received: 30 August 2024 | Revised: 21 October 2024 | Accepted: 5 November 2024 Conflicts of Interest The author declares that she has no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Rupsha Bhattacharyya: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization, Project administration.
subject: Research Articles
  topic: section
subject: batteries
  topic: keywords
subject: energy storage
  topic: keywords
subject: levelized cost
  topic: keywords
subject: Monte Carlo simulations
  topic: keywords
subject: Techno-economics
  topic: keywords
subject: uncertainty analysis
  topic: keywords
creator: Rupsha Bhattacharyya
rights: Copyright (c) 2024 Author https://creativecommons.org/licenses/by/4.0
date: 2024-11-13
publication date: 2024-11-13
starting page: 1
ending page: 16
doi: 10.47852/bonviewAAES42024217

Review and Design of Business Domain-Specific Cybersecurity Controls Framework for Micro, Small, and Medium Enterprises (MSMEs)
type: item
description: Micro, small, and medium enterprises (MSMEs) play a crucial role in the global economy, contributing significantly to employment opportunities, national income, and GDP. With Industry 4.0, there has been an increase in digitization in MSMEs, which has caused an increased cyberattack surface. Even though there are popular cybersecurity standards and frameworks, adoption of those at a significant level is lagging in MSMEs, causing one out of two such companies to be facing cyber threats. MSMEs have limited resources, less cybersecurity knowledge, and differing priorities for their business. Existing cybersecurity standards and frameworks are generic in nature, not specific to their business domain’s security needs. This paper assesses the current cybersecurity posture of MSMEs and the problems they face in implementing cybersecurity and shares insights on the proposed new framework, which is providing business domain-specific least cybersecurity control implementation based on the Confidentiality, Integrity, and Availability (CIA) Triad and Defense in Depth concept. Received: 26 September 2024 | Revised: 15 January 2025 | Accepted: 11 February 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Shekhar Pawar: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Project administration. Hemant Palivela: Supervision.
subject: Research Articles
  topic: section
subject: MSME
  topic: keywords
subject: cybersecurity
  topic: keywords
subject: cybersecurity framework
  topic: keywords
creator: Shekhar Pawar
creator: Hemant Palivela
rights: Copyright (c) 2025 Authors https://creativecommons.org/licenses/by/4.0
date: 2025-03-06
publication date: 2025-03-06
starting page: 1
ending page: 19
doi: 10.47852/bonviewAAES52024438

Evaluating the Structural Integrity and Performance of Polyethylene Terephthalate and Low-Density Polyethylene-Based Interlocking Bricks for Sustainable Construction
type: item
description: The increasing accumulation of plastic waste poses significant environmental challenges, contributing to pollution and resource depletion. The construction industry, traditionally reliant on non-renewable materials, faces increasing pressure to adopt sustainable practices. This study addresses the urgent need for innovative solutions that utilize recycled plastics in construction, thereby mitigating waste and enhancing material sustainability. This study aims to address the problem of plastic waste management by evaluating the production of interlocking bricks from waste polyethylene terephthalate (PET) and low-density polyethylene (LDPE) plastic. The objectives include assessing the mechanical properties, structural integrity, and durability of these polymeric bricks as sustainable alternatives to traditional building materials. Given the high rates of plastic waste generation and the reliance on natural raw materials for brick production, this research seeks to explore innovative solutions that utilize recycled materials effectively. A systematic methodology was employed to design the mixtures, focusing on varying the sand-to-polymeric-waste ratios. Compressive and flexural strength tests were conducted to assess the bricks' ability to withstand vertical loads and bending forces, respectively. Water absorption and density tests were performed to determine durability and suitability for external use. Results indicated that the 70:30 PET to sand mix ratio provided the best performance, with an average compressive strength of 7.86 MPa and flexural strength of 21.94 MPa. The findings suggest that using PET plastic waste in interlocking brick production can enhance material properties while contributing to environmental sustainability. Received: 28 August 2024 | Revised: 5 November 2024 | Accepted: 18 November 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request fr…
subject: Research Articles
  topic: section
subject: polymeric interlocking bricks
  topic: keywords
subject: compressive strength
  topic: keywords
subject: flexural strength
  topic: keywords
subject: water absorption
  topic: keywords
subject: PET plastic waste
  topic: keywords
creator: Abubakar Abdullahi Garbati
creator: Muhammed Awwal Imran
creator: Caleb Chisom Chike
creator: Emmanuel Nwaka Nwaka
creator: Ugochukwu Chibuzo Akomah
creator: Ihechimere Jael Ogueri
creator: Samuel Oluwasijibomi Olaremi
creator: Akinsanmi S. Ige
creator: Amaku Chukwuebuka Marcellinus
creator: Christopher Olayinka Osasona
creator: Uzoma Eucharia Ibeanu
rights: Copyright (c) 2024 Authors https://creativecommons.org/licenses/by/4.0
date: 2024-11-27
publication date: 2024-11-27
starting page: 205
ending page: 213
doi: 10.47852/bonviewAAES42024198