{"title":"An analytical model for thermal and mechanical analysis of solid rotor induction motors","authors":"Huseyin Yildiz","doi":"10.1016/j.jestch.2025.102000","DOIUrl":"10.1016/j.jestch.2025.102000","url":null,"abstract":"<div><div>A two-dimensional simplified model of a solid rotor induction motors has been proposed for the analysis of the coupled electrical-thermal–mechanical behaviour of the rotor at steady state. Rotor is assumed to be an infinite cylinder, and the stator is assumed to have infinite magnetic permeability. The electrical model of the motor depends on the definition of the slip to which all the results are referred. This makes all the field variables functions of the radial coordinate only. Eddy currents, temperature field, and elastic displacement field within the rotor are solved analytically. Eddy current computations were compared with finite element solutions. Temperature and displacement fields as a function of slip have been presented. The proposed model has the distinction of being largely analytical, and it gives good estimates for the temperatures, and stress and displacement distributions within the rotor, therefore making critical predictions concerning mechanical integrity of the design, such as verifying that the rotor will not rub on the stator due to displacements as a result of both thermal and mechanical stresses.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 102000"},"PeriodicalIF":5.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395906","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 greedy approach to solve maximum independent set problem: Differential Malatya independent set algorithm","authors":"Furkan Öztemiz","doi":"10.1016/j.jestch.2025.101995","DOIUrl":"10.1016/j.jestch.2025.101995","url":null,"abstract":"<div><div>In this study, a method has been developed for solving the maximum independent set problem, which is one of the significant problems in graph theory. The maximum independent set problem is NP-hard for all types of graphs. The proposed method features a robust and greedy approach that produces results in polynomial time for all graph types. The proposed method is named the Differential Malatya Independent Set Algorithm (DMISA). The presented method also provides solutions to the minimum vertex cover and maximum clique problems, which are directly related to the independent set. The DMISA algorithm consists of two sub-algorithms. The first algorithm is the Differential Malatya Centrality Algorithm (DMCA), a centrality algorithm that calculates centrality values, providing prioritization in the selection of independent members. The second algorithm uses the DMCA value to select the independent set and vertex cover members in the graphs. In this study, the DMISA analytical proof has been applied to graphs with known solutions that can be solved in polynomial time. To emphasize the success of the algorithm, test operations have been conducted on various types of graphs. The conducted tests included 40 lattices, 40 bipartite, 24 multipartite, 32 social, and random graphs. The analysis results showed that DMISA produced optimal results in lattice, bipartite, and complete multipartite graphs, while it produced generally non-optimal results for randomly generated and social graphs. Additionally, DMISA is compared with MIS methods in popular graph libraries and 7 different MIS methods. In summary, DMISA produces a larger solution than standard greedy algorithms in experiments.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101995"},"PeriodicalIF":5.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388189","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":"Controls on the geotechnical properties of plastic-bonded pavement blocks produced by artisanal means in Bamenda, Cameroon","authors":"Bertrand Tatoh Aziwo , Moses Kuma Mbuh , Irene Bongsiysi Bame , Paul Venyite , Moyouwou Amadou Njoya , Fidelis Toke Ntam , M.V. Nsongka , Ndigui Billong","doi":"10.1016/j.jestch.2025.101999","DOIUrl":"10.1016/j.jestch.2025.101999","url":null,"abstract":"<div><div>Recycling plastic wastes as binder in pavement blocks can be adopted as a means of managing municipal plastic wastes in Cameroon. The variability in the geotechnical properties of plastic-bonded pavement blocks in the literature suggest a wide interplay of controlling factors that need to be clarified. This study evaluates the controls on the geotechnical properties of pavement blocks produced by artisanal means, using various aggregate (washed weathered granite sand- WS, 0/5 basalt quarry sand-QS & 5/15 basalt gravel -G) and aggregate combinations (50WS50QS, 50WS50G, 50QS50G, 70WS20QS10G) with varying low- and high-density polyethylene (L/HDPE) and polyethylene terephthalate (PET) plastic waste content. Geotechnical tests were carried out on aggregates and samples of various formulations. An average compressive strength of 32.97 MPa, water absorption of 2.27 % and an abrasion index of 0.07 was obtained at 27.5 % PET for 50WS50QS, which meets the recommended requirements of pavement blocks for pedestrian and light vehicular traffic according to ASTM C-902-22, NF EN 1338:2004 and SNI 03-0691-1996 standards. From the results, the geotechnical properties are influenced by nature and size of aggregate, type and amount of plastic-binder and production method. Finding the optimal plastic-binder content for a given aggregate and plastic type is key in achieving optimal geotechnical properties. The results can serve as a guide for the production of quality plastic-bonded pavement blocks especially in nations where a bulk of their construction materials are produced by artisanal means.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101999"},"PeriodicalIF":5.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379093","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":"AI-based approaches for improving autonomous mobile robot localization in indoor environments: A comprehensive review","authors":"Shoude Wang , Nur Syazreen Ahmad","doi":"10.1016/j.jestch.2025.101977","DOIUrl":"10.1016/j.jestch.2025.101977","url":null,"abstract":"<div><div>The adoption of indoor autonomous mobile robot (AMR) has surged significantly, driven by their ability to integrate diverse sensors, maintain low operating costs, facilitate easy deployment, and exhibit superior mobility. Nonetheless, navigating complex indoor environments presents substantial challenges that can impede AMR performance and diminish overall system efficiency. To overcome these obstacles, researchers have concentrated on developing autonomous localization techniques that empower AMR to navigate and execute tasks effectively within intricate settings. Recent advancements in artificial intelligence (AI) applications have profoundly influenced this field, enhancing the control and decision-making capabilities of AMR. This paper offers a comprehensive review of AI-based strategies aimed at improving localization of indoor AMR, including aerial vehicles. We systematically categorize and critically analyze existing research on Simultaneous Localization and Mapping (SLAM)-based methods, odometry-based approaches, and multi-sensor fusion techniques, elucidating the principles and implementations of various AI methodologies. Additionally, we discuss real-time performance challenges associated with AI-based approaches and delineate the distinctions between AI-enhanced localization methods and traditional localization techniques, highlighting the necessity and advantages of adopting AI-based solutions. By clarifying these methodologies, our goal is to enhance their comprehension and promote their widespread adoption within the field. Finally, we discuss emerging research directions and ongoing challenges, providing guidance for future investigations and advancements in the domain of indoor AMR.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101977"},"PeriodicalIF":5.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379092","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}
P. Francis , P. Sambath , S. Noeiaghdam , U. Fernandez-Gamiz , S. Dinarvand
{"title":"Computational analysis of bioconvective MHD hybrid nanofluid flow of non-Newtonian fluid over cone/plate: A study based on the Cattaneo-Christov heat and mass flux model","authors":"P. Francis , P. Sambath , S. Noeiaghdam , U. Fernandez-Gamiz , S. Dinarvand","doi":"10.1016/j.jestch.2025.101970","DOIUrl":"10.1016/j.jestch.2025.101970","url":null,"abstract":"<div><div>The effective use of non-Newtonian fluids is essential in heat and mass transfer applications, such as the use of thermal paste for CPU cooling. This study employs a computational approach to analyze the behavior of non-Newtonian fluids on the surface of a vertical cone and plate, with a focus on enhancing heat transfer through the application of nanofluids. Specifically, the Cattaneo-Christov heat and mass flux model is applied to magnetohydrodynamic (MHD) bio-convective Eyring-Powell hybrid nanofluid flow over a permeable cone and plate. A similarity transformation is used to simplify the complex partial differential equations into ordinary differential equations, which are then solved using the Keller Box finite difference method. The results demonstrate that MHD, porosity, and the Cattaneo-Christov heat and mass flux significantly influence the velocity, temperature, concentration, and microorganism profiles of the hybrid nanofluid flow. In a comparative study between the vertical cone and plate geometries, the vertical plate showed superior heat and mass transfer performance. Additionally, the effects of MHD and porosity are shown to enhance microorganism diffusion by increasing heat and mass transfer rates, leading to more efficient transport processes. A comparison with existing literature shows a strong agreement with previous findings.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101970"},"PeriodicalIF":5.1,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377230","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":"Early and long-term performance evaluation of low NaOH concentrated waste HBP-GGBS based alkali activated composites","authors":"Mine Kurtay-Yıldız","doi":"10.1016/j.jestch.2025.101997","DOIUrl":"10.1016/j.jestch.2025.101997","url":null,"abstract":"<div><div>This study investigates the long-term (365 days) performance of alkali activated composites (AACs) produced using GGBS and waste hollow brick powder (HBP) and activated with a low concentration (6 M) NaOH solution. Furthermore, it evaluated mechanical strength, durability and microstructure properties together, focusing on long-term performance analysis, which is limited in the literature. Mechanical properties, including compressive, flexural, and split tensile strengths, were evaluated over 7, 28, 90, 180, and 365 days, while durability tests (sulfate resistance, carbonation, and capillary water absorption) were carried out at 1, 3, 6, and 12 months. Microstructural analyses using XRD, FTIR, DTA-TGA and SEM-EDS were performed at 28 and 365 days. The results revealed significant improvements in mechanical performance over time, with compressive, flexural, and split tensile strengths reaching 77.05 MPa, 7.78 MPa, and 2.63 MPa at 365 days, respectively. Regression analysis showed strong correlations between compressive and flexural strengths and moderate to strong correlations between tensile and flexural strengths. Durability evaluations revealed resistance to sulfate attack and carbonation, emphasizing the long-term stability of the material under aggressive environmental conditions. Furthermore, microstructural findings confirmed the formation of intact gel phases, emphasizing the importance of curing time and the complementary nature of these analytical methods. This study determined the importance of curing time in optimizing the mechanical and durability properties of waste HBP-GGBS based AACs. In addition, this study demonstrates the potential of waste HBP-GGBS based AACs as sustainable, durable, and high-performance construction materials.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101997"},"PeriodicalIF":5.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350719","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}
Tasawar Hayat , Aimen Tahir , Aneeta Razaq , Sohail A. Khan
{"title":"Entropy optimized nanomaterial flow with Soret and Dufour impacts","authors":"Tasawar Hayat , Aimen Tahir , Aneeta Razaq , Sohail A. Khan","doi":"10.1016/j.jestch.2025.101971","DOIUrl":"10.1016/j.jestch.2025.101971","url":null,"abstract":"<div><div>The considered configuration has relevance for polymer extrusion, cable coating, spinning of filaments and metallurgical processes. In view of such important applications the irreversibility analysis in hydromagnetic Maxwell nanoliquid flow by stretching cylinder is considered. Darcy-Forchheimer expression characterizes porous medium. Heat and mass transfer by convective conditions are studied. The aspects of random motion, thermophoresis and Soret and Dufour impacts are under consideration. Energy expression comprises thermal radiation, Dufour effect, random motion and thermophoresis. Entropy production for chemically reactive flow with Darcy-Forchheimer relation is studied. Nonlinear ordinary equations are obtained by employing adequate transformations. Numerical solutions are computed through ND-solve technique. The behaviors of emerging parameters for quantities of importance are explored. Clearly it is noticed that velocity tends to decrease as the material parameter increases whereas opposite behavior witnessed for mixed convection variable. Temperature distribution enhanced against Dufour and thermal Biot numbers. Concentration shows increasing behavior against solutal Biot and Soret numbers. Entropy rate shows increasing behavior against higher Brinkman number whereas opposite scenario noticed through Bejan number. An opposite behaviors for entropy and Bejan number against curvature variable are witnessed. Thermal distribution increased for higher Eckert number.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101971"},"PeriodicalIF":5.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350720","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":"Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets","authors":"Sedat Korkmaz","doi":"10.1016/j.jestch.2025.101976","DOIUrl":"10.1016/j.jestch.2025.101976","url":null,"abstract":"<div><div>Machine learning algorithms assume that datasets are balanced, but most of the datasets in the real world are imbalanced. Class imbalance is a major challenge in machine learning and data mining. Oversampling and undersampling methods are commonly used to address this issue. Edited Nearest Neighbor (ENN) and Synthetic Minority Oversampling Technique (SMOTE) are essential methods for undersampling and oversampling, respectively. DEBOHID is a recently proposed differential evolution-based oversampling approach for highly imbalanced datasets. In this work, DEBOHID and ENN methods are combined to present a novel hybrid method called D-ENN. The performance of D-ENN was evaluated using 44 highly imbalanced datasets. A parameter analysis was conducted on D-ENN to determine the optimal values for the F, CR and D-ENN-Type parameters. Three classifiers were used in the study: Support Vector Machines (SVM), Decision Tree (DT), and K-nearest Neighbor (kNN), and reported their G-mean and Area Under Curve (AUC) values. Upon evaluation of the average Winner, Mean Rank and Final Rank values obtained for each classifier and metric pair, the proposed D-ENN method demonstrated superior performance compared to nine state-of-the-art sampling methods, with an average Winner value of 13, an average Mean Rank value of 3.40 and an average Final Rank value of 1.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101976"},"PeriodicalIF":5.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143211295","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":"Boost pressure influence on combustion, emission characteristics, and performance of diesel engines with various fuel types","authors":"Hüseyin Söyler","doi":"10.1016/j.jestch.2025.101983","DOIUrl":"10.1016/j.jestch.2025.101983","url":null,"abstract":"<div><div>This study investigates the effects of varying boost pressure levels on engine performance, combustion characteristics, and emissions using different fuel types (diesel, B50, B100) under various engine loads. The results show that increasing boost pressure generally enhances engine performance by raising in-cylinder pressure and heat release rates. For instance, at 75 % engine load, the cylinder pressure increased by 18.7 % for diesel and 15.9 % for B100 when the boost pressure was raised from −20 % to + 20 %. Similarly, combustion efficiency improved, with ignition delay reduced by approximately 4.1 % for diesel and 6.5 % for B100 under the same conditions. However, higher boost pressure also led to increased Brake Specific Fuel Consumption (BSFC), particularly for biodiesel fuels; for B100, BSFC increased from 297.1 g/kWh to 304.95 g/kWh at 50 % engine load. In terms of emissions, higher boost pressure significantly decreased CO and HC emissions by up to 7.5 % and 15.3 %, respectively, for B100. Nevertheless, NOx emissions increased by 5.3 % due to the oxygen content of biodiesel. Soot emissions were notably reduced, with a maximum reduction of 58.4 % observed at 75 % engine load and + 20 % boost pressure for diesel fuel. These findings underscore the need for additional strategies to control NOx emissions, especially for biodiesel applications. In conclusion, optimizing boost pressure is critical for improving engine performance and emissions. Biodiesel and its blends, despite their higher NOx emissions, provide significant environmental benefits due to their cleaner combustion characteristics. This study contributes valuable insights for designing more efficient and sustainable internal combustion engines.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101983"},"PeriodicalIF":5.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143211294","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}
Soyul Han , Jaejin Seo , Sunmook Choi , Taein Kang , Sanghyeok Chung , Seungeun Lee , Seoyoung Park , Seungsang Oh , Il-Youp Kwak
{"title":"Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation","authors":"Soyul Han , Jaejin Seo , Sunmook Choi , Taein Kang , Sanghyeok Chung , Seungeun Lee , Seoyoung Park , Seungsang Oh , Il-Youp Kwak","doi":"10.1016/j.jestch.2025.101972","DOIUrl":"10.1016/j.jestch.2025.101972","url":null,"abstract":"<div><div>In the rapidly evolving landscape of voice-related technology, high-tech companies are developing multifaceted voice assistants, tailored to their specific organizational goals. This technological evolution, however, introduces heightened security vulnerabilities such as voice spoofing attacks. To address voice spoofing challenges, various competitions like ASVspoof 2015, 2017, 2019, 2021, and ADD 2022 have emerged. ADD 2022’s Track 1 aimed to classify genuine and fake speech signals in the presence of noise. Our exploratory data analysis revealed that for a given speech sample, noisy signals tend to occur within similar frequency bands. If a model is heavily reliant on data within frequency ranges that contains noise, its performance will be suboptimal. To address this issue, we propose a data augmentation technique called Frequency Feature Masking (FFM), which randomly masks frequency bands. FFM helps prevent overfitting and enhances the model’s robustness by avoiding reliance on specific frequency bands. Furthermore, we propose a frequency band masking method using a bell-shaped filter. This allows for smooth transitions between masked and unmasked frequencies, enabling the model to naturally mimic frequency variations in real speech signals. We compare the performance of various data augmentation methods with FFM in two spoofing detection datasets, ASVspoof 2019 LA and ADD 2022. The proposed FFM augmentation achieves state-of-the-art results in both datasets. The ADD 2022 dataset showed an improvement of approximately 51% after the application of FFM, while there was a 54% improvement in the ASVspoof 2019 LA dataset. In addition, we have made the code and demo used in the experiment publicly available.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101972"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143211335","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}