Engineering Science and Technology-An International Journal-Jestech最新文献

{"title":"Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets","authors":"Mete Celik ,&nbsp;Ahmet Sakir Dokuz ,&nbsp;Alper Ecemis ,&nbsp;Emre Erdogmus","doi":"10.1016/j.jestch.2025.102006","DOIUrl":"10.1016/j.jestch.2025.102006","url":null,"abstract":"<div><div>Social media data refers to data collected from social media platforms, including user interactions, posts, comments, likes, etc., while streaming social media data is a specific type of social media data that is continuously and sequentially collected from these platforms. Processing of streaming social media data is crucial for providing quick responses and reacting promptly to issues. Therefore, it requires more specialized solutions compared to traditional social media data processing algorithms. Temporal, spatial, and contextual anomalous social activity of a social media user can be defined as activities of sending a frequent and abnormal number of posts that are contextually similar to other posts in a time frame and at specific locations. However, detecting anomalies in streaming social media datasets has many difficulties due to the size, continuous increase, different characteristics (e.g., temporal, spatial, and contextual) of the data, and shortcomings of existing algorithms to handle streaming social media datasets. In the literature, many studies are conducted on detecting anomalies in social media data or streaming data. Nonetheless, anomaly detection studies on streaming social media datasets are very limited. The focus of this study is the detection of temporal, spatial, and contextual anomalous social activities from streaming social media datasets. In particular, streaming Twitter/X dataset is analyzed in terms of three different aspects, such as temporal, spatial, and contextual anomalous social activity detection. The proposed Temporal, Spatial, and Contextual Anomalous Social Activity Miner (TSCASA-Miner) algorithm is experimentally evaluated with a naive alternative and related studies. Evaluations are conducted using a real-life streaming Twitter/X dataset from New York, USA. The results demonstrate that the proposed TSCASA-Miner algorithm outperforms the other algorithms, with a recall of 0.93, a precision of 0.95, and an accuracy of 0.9323, marking an improvement of 0.018 in accuracy.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102006"},"PeriodicalIF":5.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578272","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":"New blockchain consensus algorithm applied on healthcare industry: Proof of Visit- (POV)","authors":"Çetin Şahin,&nbsp;Muhammed Ali Aydin,&nbsp;Ahmet Sertbaş","doi":"10.1016/j.jestch.2025.102014","DOIUrl":"10.1016/j.jestch.2025.102014","url":null,"abstract":"<div><div>The increase in the world’s population, technological advancements, genetic research, digital health services, and medical devices are among the reasons that lead to the rapid growth of Electronic Health Record (EHR). Health services, clinical studies, public health studies, health insurance data, health research, and similar sources generate a large amount of EHR. One of today’s important issues is the storage of data in centralized database systems and the fact that data accuracy and security are only ensured through these centers. Due to communication and integration issues between these centers, vital data such as examinations and laboratory tests can be repeated due to difficulty accessing the EHR. As citizens do not have full control over sharing their own EHR, this situation can cause deficiencies and disruptions in the healthcare process. Sharing personal EHR without the citizen’s consent can lead to data privacy issues. In systems where patient data is centrally stored, software changes can cause problems such as loss of patient data. The fact that the patient’s potentially valuable EHR is secondary causes irregular maintenance of the data. With its decentralized architecture and verification mechanisms, blockchain technology can work more efficiently than centralized structures without data loss or security problems. In this study, it is proposed to share EHR using blockchain infrastructure and to prepare a consensus algorithm specifically for health data on the blockchain. This way, personal EHR is stored in the patient’s own control and their own health wallet.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102014"},"PeriodicalIF":5.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548466","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":"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 ,&nbsp;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}

{"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 ,&nbsp;Ayşe Elif Ateş ,&nbsp;Hüseyin Selçuk ,&nbsp;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 FeSO₄/L, and 4,38 g H₂O₂/L for 101 min, &gt;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 ,&nbsp;Min Seok Hur ,&nbsp;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}

{"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 ,&nbsp;Mohammad Tariqul Islam ,&nbsp;Mandeep Singh Jit Singh ,&nbsp;Touhidul Alam ,&nbsp;Abdulmajeed M. Alenezi ,&nbsp;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 ,&nbsp;Bo Wang ,&nbsp;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,&nbsp;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}