{"title":"Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure","authors":"Ömer Kaya","doi":"10.1016/j.jestch.2025.102027","DOIUrl":"10.1016/j.jestch.2025.102027","url":null,"abstract":"<div><div>Urban mobility faces increasing challenges due to congestion, environmental concerns, and inefficiencies in transport infrastructure. Micro-mobility solutions have gained significant attention as a sustainable alternative, yet their integration into urban transport networks remains a complex task. To this end, this study introduces a geo-analytic decision-making framework for optimizing micro-mobility route planning. The methodology consists of five key steps: (i) identification and spatial analysis of 33 critical factors influencing micro-mobility adoption in a Geographic Information Systems (GIS) environment; (ii) a suitability map for the routes was generated using the state-of-the-art Fuzzy Logarithm Methodology of Additive Weights (FLMAW) and Fuzzy Simple Weight Calculation (fuzzy SIWEC) weighting methods. It was determined that criteria such as cyclist lanes, public transportation routes, terrain inclination, and recreational areas have a high impact on micro mobility use; (iii) based on this analysis, 21 optimized routes were developed, and their relationships with the main criteria were validated through Spearman’s rank correlation analysis, revealing a significant and strong positive correlation; (iv) additionally, Random Forest classification was applied to categorize routes into nine different usage classes. Route classes with different nicknames such as GreenLink and UrbanHealth Path have been created; and (v) DOmbi Bonferroni (DOBI) performance evaluation method was used to determine the preferred priority order for route construction in the study area. The results indicate that the construction priority of routes R9 and R10 is higher than that of other routes. The proposed framework offers a scalable, adaptable, data-driven, and evidence-based approach, providing valuable insights for urban planners and policymakers aiming to integrate micro-mobility into sustainable transportation strategies.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102027"},"PeriodicalIF":5.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tiny TR-CAP: A novel small-scale benchmark dataset for general-purpose image captioning tasks","authors":"Abbas Memiş , Serdar Yıldız","doi":"10.1016/j.jestch.2025.102009","DOIUrl":"10.1016/j.jestch.2025.102009","url":null,"abstract":"<div><div>In the last decade, the outstanding performance of deep learning has also led to a rapid and inevitable rise in automatic image captioning, as well as the need for large amounts of data. Although well-known, conventional and publicly available datasets have been proposed for the image captioning task, the lack of ground-truth caption data still remains a major challenge in the generation of accurate image captions. To address this issue, in this paper we introduced a novel image captioning benchmark dataset called Tiny TR-CAP, which consists of 1076 original images and 5380 handwritten captions (5 captions for each image with high diversity). The captions, which were translated into English using two web-based language translation APIs and a novel multilingual deep machine translation model, were tested against 11 state-of-the-art and prominent deep learning-based models, including CLIPCap, BLIP, BLIP2, FUSECAP, OFA, PromptCap, Kosmos2, MiniGPT4, LlaVA, BakLlaVA, and GIT. In the experimental studies, the accuracy statistics of the captions generated by the related models were reported in terms of the BLEU, METEOR, ROUGE-L, CIDEr, SPICE, and WMD captioning metrics, and their performance was evaluated comparatively. In the performance analysis, quite promising captioning performances were observed, and the best success rates were achieved with the OFA model with scores of 0.7097 BLEU-1, 0.5389 BLEU-2, 0.3940 BLEU-3, 0.2875 BLEU-4, 0.1797 METEOR, 0.4627 ROUGE-L, 0.2938 CIDEr, 0.0626 SPICE, and 0.4605 WMD. To support research studies in the field of image captioning, the image and caption sets of Tiny TR-CAP will also be publicly available on GitHub (<span><span>https://github.com/abbasmemis/tiny_TR-CAP</span><svg><path></path></svg></span>) for academic research purposes.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102009"},"PeriodicalIF":5.1,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ender Öztürk , Ayşe Elif Ateş , Hüseyin Selçuk , Sinan Ateş
{"title":"Treatment of real pharmaceutical industry wastewater by photo-Fenton oxidation using the response surface methodology, evaluation of diclofenac degradation and toxicity","authors":"Ender Öztürk , Ayşe Elif Ateş , Hüseyin Selçuk , Sinan Ateş","doi":"10.1016/j.jestch.2025.102004","DOIUrl":"10.1016/j.jestch.2025.102004","url":null,"abstract":"<div><div>Discharges from domestic, hospital, and pharmaceutical industry wastewater have been identified as the main sources of pharmaceuticals in the environment. Many studies focused on the removal of pharmaceuticals from hospitals and domestic wastewater. However, the number of studies that evaluated the treatment of real pharmaceutical wastewater and its detoxification after treatment is limited in literature. This study evaluated the treatment of real pharmaceutical wastewater by photo-Fenton oxidation using response surface methodology (RSM) and its toxicity with Daphnia magna according to process conditions after treatment. The removal efficiencies were read on 3D graphics to determine the optimum conditions more clearly. Diclofenac (DCF), Daphnia magna toxicity, total organic carbon (TOC), and color parameters were followed to evaluate the treatment efficiency of the photo-Fenton oxidation. The developed RSM model with the quartic formula was found to be suitable for TOC and color removal from pharmaceutical wastewater by solar photo-Fenton oxidation.<!--> <!-->At optimum conditions of pH 2,87, 0,297 g FeSO<sub>4</sub>/L, and 4,38 g H<sub>2</sub>O<sub>2</sub>/L for 101 min, >99 % DCF, 94 % TOC, and 81 % color removal efficiencies were achieved by photo-Fenton oxidation. Moreover, the toxicity of the raw wastewater, as indicated by an LD50 value of 20 %, was substantially reduced post-treatment, with the LD50 value increasing to 90 % following the application of photo-Fenton oxidation.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102004"},"PeriodicalIF":5.1,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Front Matter 1 - Full Title Page (regular issues)/Special Issue Title page (special issues)","authors":"","doi":"10.1016/S2215-0986(25)00079-5","DOIUrl":"10.1016/S2215-0986(25)00079-5","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 102024"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to “Optimal design and performance prediction of stepped honeycomb labyrinth seal using CFD and ANN” [Eng. Sci. Technol. Int. J. 61 (2025) 101939]","authors":"Geunseo Park , Min Seok Hur , Tong Seop Kim","doi":"10.1016/j.jestch.2025.101980","DOIUrl":"10.1016/j.jestch.2025.101980","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101980"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Lutful Hakim , Mohammad Tariqul Islam , Mandeep Singh Jit Singh , Touhidul Alam , Abdulmajeed M. Alenezi , Mohamed S. Soliman
{"title":"Corrigendum to “Intensified electric field based highly sensitive backbone-shaped C and X band microwave metamaterial sensor for permittivity characterization applications” [Eng. Sci. Technol. Int. J. 60 (2024) 101877]","authors":"Mohammad Lutful Hakim , Mohammad Tariqul Islam , Mandeep Singh Jit Singh , Touhidul Alam , Abdulmajeed M. Alenezi , Mohamed S. Soliman","doi":"10.1016/j.jestch.2025.101984","DOIUrl":"10.1016/j.jestch.2025.101984","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101984"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction notice to “Multi-objective scheduling and optimization for smart energy systems with energy hubs and microgrids” [Eng. Sci. Technol. Int. J. 51 (2024) 101649]","authors":"Yanliang Wang , Bo Wang , Hashem Farjam","doi":"10.1016/j.jestch.2025.101954","DOIUrl":"10.1016/j.jestch.2025.101954","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101954"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Increasing integration of wind energy through the joint operation of electric vehicles and the grid using the intelligent spider monkey algorithm","authors":"Han Xiaoming, Qian Jingjing","doi":"10.1016/j.jestch.2025.102017","DOIUrl":"10.1016/j.jestch.2025.102017","url":null,"abstract":"<div><div>This study introduces an advanced framework to enhance the integration of wind energy into power systems by utilizing electric vehicles (EVs) as dynamic energy storage units through vehicle-to-grid (V2G) technology. The proposed cooperative model integrates EV aggregators with wind power systems, operating under a single commitment approach with security constraints. Unlike existing studies, this framework incorporates detailed modeling of EV aggregation, accounting for diverse user travel patterns, time-varying energy storage capacities, and the complexities of charging and discharging behaviors. A significant innovation involves demonstrating that prohibitive constraints on simultaneous charging and discharging can, under specific conditions, be relaxed without compromising system stability, thereby simplifying the optimization process. The optimization problem is formulated as a single objective problem and solved using an improved spider monkey optimization algorithm. This algorithm delivers robust convergence, computational efficiency, and highly accurate solutions to complex energy dispatch problems. The framework is validated through extensive case studies on the IEEE system, incorporating realistic wind energy profiles and EV penetration scenarios. The research demonstrates a 28 % improvement in wind energy absorption, a 15 % reduction in thermal unit operating costs, and a substantial mitigation of storage violations under dynamic conditions. Furthermore, the study highlights the role of V2G in balancing renewable energy variability and reducing peak load pressures, showcasing its potential to optimize grid operations and improve reliability.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102017"},"PeriodicalIF":5.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing photovoltaic thermal systems with ternary hybrid nanofluids: Statistical and regression analysis","authors":"Ahmad Ayyad Alharbi , Ali Rashash Alzahrani","doi":"10.1016/j.jestch.2025.102010","DOIUrl":"10.1016/j.jestch.2025.102010","url":null,"abstract":"<div><div>This study explores the intricate interplay between ternary hybrid nanofluids and their impact on the electrical and thermal efficiencies of Photovoltaic Thermal systems (PV/T), considering a diverse range of nanomaterial shapes. It meticulously scrutinizes these systems within a structured framework, incorporating phase change materials and strategically positioned cylinders, leveraging advanced numerical methodologies for detailed analyses. This comprehensive investigation systematically amalgamates multiple nanomaterials and crucial parameters, offering invaluable insights into the optimization of PV/T performance within complex fluid dynamics and configurations. Examining the electrical and thermal efficiencies of the PV/T system using ternary hybrid nanofluids with nanomaterials suspended in variously shaped base fluids, this research involves a three-dimensional domain housing a rectangular block with a square base. This block integrates a phase change material (PCM), and its interior features four equally spaced circular cylinders regulating the flow of ternary hybrid nanofluids. Atop this block sits a PV panel comprised of glass, a silicon layer, and a copper absorber. The study incorporates three nanomaterials—multi-walled carbon nanotubes (MWCNT), alumina, and copper—suspended in water, each with unique shapes. These four cylinders are strategically positioned along the block’s length at 20 %, 40 %, 60%, and 80%, assuming the block’s height constitutes 20 % of its length. Utilizing the finite element method with the incompressible Navier-Stokes equations and heat equation in three dimensions, the investigation employs the conjugate heat transfer interface within COMSOL Multiphysics 6.0. It encompasses a broad array of numerical, statistical, and regression analyses to delve into the electrical, thermal, and phase transition characteristics of paraffin wax. The study scrutinizes four fundamental parameters: Reynolds number (ranging from 100 to 1000), total volume fraction of nanomaterials (ranging from 1 % to 10 %), shape factors (ranging from 3 to 5.7), and an aspect ratio (with the cylinder’s diameter-to-length ratio between 0.3 and 0.5). The present study reports an average electrical efficiency of 8.14 % for the PV/T system while achieving a maximum thermal efficiency of 71.62 %. Regression analyses indicate enhancements of 0.000008675, 0.00775855, and 0.00014403 in electrical efficiency per unit increase in Reynolds number, total volume fraction, and aspect ratio, respectively. Likewise, thermal efficiency shows improvements of 0.00000738889, 0.00482906, and 0.000118775 for one-unit increments in Reynolds number, volume fraction, and shape factor, respectively.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102010"},"PeriodicalIF":5.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel model for higher performance object detection with deep channel attention super resolution","authors":"Ayse Berika Varol Malkocoglu, Ruya Samli","doi":"10.1016/j.jestch.2025.102003","DOIUrl":"10.1016/j.jestch.2025.102003","url":null,"abstract":"<div><div>With the introduction of deep learning methods, target object detection studies have gained momentum and started to be used in many areas. In recent years, various problems related to training the model with appropriate images and improving the current image quality to detect the target object more successfully have been discussed. In the light of these discussions, the identification of dangerous objects, which is one of the most important areas of object detection, is quite remarkable. For this reason, within the scope of study, a new dataset called DMGDATA-mini was prepared to detect dangerous objects and presented to the public. By using the data in the training of the You Only Look Once (YOLO) model of YOLOv5, it was ensured that the model successfully detected the object. In order to increase the object detection success and observe the results, popular Super Resolution (SR) algorithms and the Deep Channel Attention Super Resolution (DCASR) algorithm developed by us were integrated into the structure and the effect of SR algorithms on object detection was observed. It was determined with the Peak Signal-to-Noise Ratio (PSNR) metric that the developed DCASR algorithm performs better image enhancement than all SR algorithms in the study. Also, YOLOv5 and YOLOv5 + SR models were also compared. Thanks to the improved DCASR model, a 9.9 % increase in object detection success was observed. It was observed that SR algorithms have a positive effect on performance in general.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102003"},"PeriodicalIF":5.1,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}