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

{"title":"Millimeter-wave monopole antenna with circular polarization utilizing FSS polarizer for 5G communications","authors":"Meshari D. Alanazi ,&nbsp;Wael A.E. Ali ,&nbsp;M.A. Abdelhady ,&nbsp;Ahmed A. Ibrahim","doi":"10.1016/j.jestch.2024.101931","DOIUrl":"10.1016/j.jestch.2024.101931","url":null,"abstract":"<div><div>A wide-band circularly polarized (CP) and small-size monopole antenna for millimeter wave (mm-wave) communication is presented in this paper. The monopole antenna consists of a Mickey Mouse-shaped radiator fed by a 50 Ω microstrip line on the top view of 0.203 mm RO4003C (εr = 3.5) substrate and a partial ground plane on the other side. The antenna has wide band operation extended from 24 GHz up to 38 GHz. The frequency selective surface (FSS) cells are employed to convert the linear polarization (LP) to CP. The unit cell of the FSS is composed of a dual rectangular strip with chamfered edges layout and printed on one side of a 1.575 mm RO5880 (εr = 2.2) substrate. The 3 × 3 FSS converts the illuminated LP wave to CP transmitted wave by utilizing two equally amplitude and 90° phase difference wave components. The suggested antenna is combined with the FSS cells to achieve wide-band operation from 24 GHz to 38 GHz (45.16 %). As well, the 3-dB axial ratio (AR) is extended from 27 GHz to 30.3 GHz (11.5 %) with a gain ranging from 4.2 dBi to 6.3 dB. From the outcomes, the antenna can be utilized for 5G communication.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101931"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138055","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":"Sample selection using multi-task autoencoders in federated learning with non-IID data","authors":"Emre Ardıç,&nbsp;Yakup Genç","doi":"10.1016/j.jestch.2024.101920","DOIUrl":"10.1016/j.jestch.2024.101920","url":null,"abstract":"<div><div>Federated learning is a machine learning paradigm in which multiple devices collaboratively train a model under the supervision of a central server while ensuring data privacy. However, its performance is often hindered by redundant, malicious, or abnormal samples, leading to model degradation and inefficiency. To overcome these issues, we propose novel sample selection methods for image classification, employing a multi-task autoencoder to estimate sample contributions through loss and feature analysis. Our approach incorporates unsupervised outlier detection, using one-class support vector machine (OCSVM), isolation forest (IF), and adaptive loss threshold (AT) methods managed by a central server to filter noisy samples on clients. We also propose a multi-class deep support vector data description (SVDD) loss controlled by a central server to enhance feature-based sample selection. We validate our methods on CIFAR10 and MNIST datasets across varying numbers of clients, non-IID distributions, and noise levels up to 40%. The results show significant accuracy improvements with loss-based sample selection, achieving gains of up to 7.02% on CIFAR10 with OCSVM and 1.83% on MNIST with AT. Additionally, our federated SVDD loss further improves feature-based sample selection, yielding accuracy gains of up to 0.99% on CIFAR10 with OCSVM. These results show the effectiveness of our methods in improving model accuracy across various client counts and noise conditions.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101920"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138052","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":"Enhanced fault diagnosis of rolling bearings using attention-augmented separable residual networks","authors":"Chuang Liang ,&nbsp;Xuelin Mu ,&nbsp;Xiaoguang Zhang ,&nbsp;Fanfan Lu ,&nbsp;Chengcheng Wang ,&nbsp;Yubo Shao","doi":"10.1016/j.jestch.2024.101930","DOIUrl":"10.1016/j.jestch.2024.101930","url":null,"abstract":"<div><div>Recently, with the quick development of industrial equipment automation, convolutional neural networks (CNN) have been broadly applied to the intelligent fault diagnosis of rolling bearings. In order to solve the problems of gradient vanishing, gradient explosion, and too many training parameters in deep convolutional networks that lead to low diagnostic accuracy and training efficiency of network models, a bearing fault diagnosis method based on an attention-augmented separable convolutional residual network (ASResnet) is proposed. First, the bearing vibration signal data is converted into a 2D grayscale map as an input to the network. Then, residual blocks with separable convolutions were constructed, allowing automatic learning of high-level representations from input images by stacking multiple separable convolutional residual blocks. Separable convolution effectively reduces the number of network parameters and improves computational speed. Finally, a feature extractor based on the Convolutional Block Attention Module (CBAM) is constructed so that the network focuses on the key feature regions to further improve the diagnostic performance. Validation was conducted using a Case Western Reserve University bearing dataset and three actual engineering datasets of production equipment in a cement plant. The experimental results show that ASResnet is able to improve the diagnostic accuracy and reduce the network training time of the CWRU dataset, and it also obtains a high accuracy rate in fault diagnosis for engineering applications in the cement production equipment industry.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101930"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138496","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 “Circular-ring tied arc loaded excellent metamaterial absorber for EMI shielding of Wi-Fi signal and impurity sensing of cooking oil” [Eng. Sci. Technol. Int. J. 58 (2024) 101838]","authors":"Abdullah Al Mahfazur Rahman ,&nbsp;Mohammad Tariqul Islam ,&nbsp;Md. Moniruzzaman ,&nbsp;Mandeep Singh ,&nbsp;Abdulwadoud A. Maash ,&nbsp;Haitham Alsaif ,&nbsp;Mohamed S. Soliman","doi":"10.1016/j.jestch.2024.101932","DOIUrl":"10.1016/j.jestch.2024.101932","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101932"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137711","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":"Research on weakly conservative passive fault-tolerant control method considering the fault distribution","authors":"Dan Du ,&nbsp;Zetao Li","doi":"10.1016/j.jestch.2025.101948","DOIUrl":"10.1016/j.jestch.2025.101948","url":null,"abstract":"<div><div>This study proposes a weakly conservative passive fault-tolerant control method that considers the fault distribution. The concept of weakly conservative passive fault-tolerant control is introduced initially. For fault parameter uncertainty domains with low probability, the constraints of control design are relaxed to expand the feasible domain of passive fault-tolerant controller parameters. The aim of weakly conservative passive fault-tolerant control is to find the optimal controller in the passive fault-tolerant controller parameter feasible domain. Moreover, a weakly conservative passive fault-tolerant control method is designed based on guaranteed robust cost control. Compared to the fault parameter uncertainty domain with high probability, the corresponding upper limit constraint of the performance index is increased for the fault parameter uncertainty domain with low probability. Furthermore, a larger feasible domain of passive fault-tolerant controller parameters is structured. A weakly conservative passive fault-tolerant controller based on guaranteed robust cost control is derived from the feasible domain of the passive fault-tolerant controller parameter. The proposed method overcomes the strong conservatism of passive fault-tolerant control and has practical application value. The simulation results on a boost DC-DC converter validate the effectiveness of the proposed method.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101948"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137717","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":"Grey Wolf Algorithm-Based source size and location determination method for capacity expansion planning in power systems","authors":"Ugur Fesli ,&nbsp;Mustafa Bahadir Ozdemir ,&nbsp;Murat Akın","doi":"10.1016/j.jestch.2024.101934","DOIUrl":"10.1016/j.jestch.2024.101934","url":null,"abstract":"<div><div>Expansion of power generation capacity within power systems is crucial for improving system reliability and efficiency. The main objective of the process is to optimize the power generation capacity to appropriately meet current and future load demands. In this study, the stability issues that arise in power systems due to the increment in load power, overloads on transmission lines, changes in bus voltages and the effects of available generation resources on these dynamics are investigated. In particular, the issues such as overloads on transmission lines, increases in the loading rates of generation resources and decreases or increases in bus voltages are examined. The size and location of new sources to be added to the system have great importance in order to overcome these issues. IEEE 39 bus test system is used, and the power system is modeled in the DIgSILENT platform. Integrated simulations were performed by integrating the DIgSILENT and Python programming. The simulation scenarios are created by increasing the load power located at various buses. The scenarios and system configurations were automatically tested through Python scripts, allowing a broader perspective of the effects of line loading, bus voltages and generation resources on system performance. The possible solutions without optimization are obtained in the first stage with the standard IEEE 39 bus test system. Considering the source size and location, line loading limits, generator capacity, and bus parameters, the Grey Wolf optimization algorithm determines the optimum solution for the capacity expansion. Thus, an effective method is proposed for power system planning. According to the optimization results the IEEE 39 bus test system is modified by increasing capacity of current sources or adding new sources. The obtained solutions with the proposed method are simulated, and the system performance in terms of line loading, generator loading, and bus voltage is tested. The results reveal that the proposed method provides the optimum capacity expansion solutions to eliminate the adverse effects of increment in load power.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101934"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138050","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 robust wrapper-based feature selection technique based on modified teaching learning based optimization with hierarchical learning scheme","authors":"Li Pan ,&nbsp;Wy-Liang Cheng ,&nbsp;Wei Hong Lim ,&nbsp;Abishek Sharma ,&nbsp;Vibhu Jately ,&nbsp;Sew Sun Tiang ,&nbsp;Amal H. Alharbi ,&nbsp;El-Sayed M. El-kenawy","doi":"10.1016/j.jestch.2024.101935","DOIUrl":"10.1016/j.jestch.2024.101935","url":null,"abstract":"<div><div>Feature selection is a pivotal preprocessing step in deploying machine learning solutions, aimed at removing redundant features from datasets while preserving predictive accuracy. Despite the popular use of wrapper-based feature selection techniques with metaheuristic search algorithms (MSAs) such as Teaching Learning Based Optimization (TLBO), balancing exploration and exploitation in identifying optimal feature subsets remains a fundamental challenge. This paper introduces an advanced wrapper-based feature selection method utilizing an enhanced TLBO variant, termed Modified TLBO with Hierarchical Learning Scheme (MTLBO-HLS). MTLBO-HLS incorporates significant enhancements in both teacher and learner phases to better balance exploration and exploitation, thus improving robustness in solving complex problems like feature selection. Specifically, the Multi-Hierarchical Teacher Phase (MH-TP) divides the MTLBO-HLS population into multiple group tiers based on fitness, where learners are guided by superior peers from better tiers. The Dynamic Peers Interaction Based Learner Phase (DPI-LP) enriches the learning process by enabling interactions with single and multiple elite peers and retaining valuable knowledge across dimensions. Extensive simulations demonstrate MTLBO-HLS’s superior performance in feature selection, consistently identifying the smallest feature subsets and achieving the highest classification accuracies across various datasets. These results highlight its potential to drive industrial innovation through enhanced machine learning model efficiency and accuracy.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101935"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138497","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)00019-9","DOIUrl":"10.1016/S2215-0986(25)00019-9","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101964"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138685","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":"Design and control of a novel 3-DOF parallel MFC micromanipulation platform","authors":"Zi-xuan Yu ,&nbsp;Le-xiao Huangfu ,&nbsp;Yi-ling Yang ,&nbsp;Shun-shun Wang ,&nbsp;Gao-hua Wu ,&nbsp;Yu-guo Cui","doi":"10.1016/j.jestch.2024.101943","DOIUrl":"10.1016/j.jestch.2024.101943","url":null,"abstract":"<div><div>In this paper, a three-degree-of-freedom (3-DOF) parallel decoupled micromanipulation platform (PDMP) driven by macro fiber composite (MFC) is designed, and a model recovery anti-saturation (MRAS) control strategy is proposed. Unlike conventional PDMPs, it exhibits a compact design with drive-mechanism integration and 3-DOF parallel decoupling with high natural frequencies. Also, the vibration suppression is transformed into a rate saturation problem, which avoids the micro/nano vibration of the carried flexible structure at the source. An electromechanical coupling dynamics model was established, and an MRAS control strategy combining the robust <em>H</em>∞ control and magnitude/rate anti-saturation control was proposed. The prototype was finally built, and various experiments were performed. The natural frequency is 627.66 Hz; the <em>x</em> ,<em>y</em>, and <em>z</em> motion strokes are 191.2 µm × 192.5 µm × 228.8 µm, with a maximum coupling ratio of 0.599 % and a displacement resolution of 9.86 nm × 10.11 nm × 9.85 nm. In addition, even when the amplitude and rate are limited, the MRAS control strategy can compensate for nonlinear hysteresis, suppress microscopic vibration, shorten settling time, and guarantee high accuracy. Experiments validate the effectiveness of the designed 3-DOF platform and proposed MRAS control strategy.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101943"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137716","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":"Cost-effective IE2 high-efficiency single-phase induction motor design and prototyping","authors":"Ufuk Muhammed Deveci ,&nbsp;Engin Ayçiçek","doi":"10.1016/j.jestch.2024.101921","DOIUrl":"10.1016/j.jestch.2024.101921","url":null,"abstract":"<div><div>As the utilization of electrical energy has continued to rise, energy efficiency and management has become an increasingly significant issue on the global stage. In this context, the objective of this study was to identify the most efficient and cost-effective production methods by examining the potential for upgrading a single-phase induction motor from the IE1 to the IE2 efficiency class, in accordance with the standards established by IEC 60034–30-1, while minimizing the cost differential. The lamination of the existing motor (IE1) was used in this study, and the impact of the main and auxiliary windings and capacitors on the performance of the motor was analyzed. The reduction of losses was achieved through the optimization of winding, and a finite element method (FEM) was employed in the modeling process. Furthermore, parametric analyses were conducted to identify the optimal capacitors for the selected parameters, resulting in enhanced efficiency. The final results of the parametric analyses were validated by comparing them with the prototype motor produced.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"61 ","pages":"Article 101921"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138056","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}