International Journal of Engineering and Technology Innovation
https://ojs.imeti.org/index.php/IJETI
<p><strong><em>International Journal of Engineering and Technology Innovation</em></strong> (IJETI), ISSN 2223-5329 (Print), ISSN 2226-809X (Online), is an international, multidiscipline, open access, peer-reviewed scholarly journal, published quarterly for researchers, developers, technical managers, and educators in the field of engineering and technology innovation. The official abbreviated title is <strong><em>Int. j. eng. technol. innov</em>.</strong></p> <p>IJETI is indexed by: </p> <p><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;"><span style="font-family: 'Noto Sans'; font-size: 10.5pt;"><img style="width: 220px; height: 50px;" src="https://ojs.imeti.org/public/site/images/ijeti/ESCI3.png" /><img style="font-size: 0.875rem;" /> <img src="https://ojs.imeti.org/public/site/images/allen/Ei_Compendex(150x39)1.png" /> <img style="width: 136px; height: 38px;" src="https://ojs.imeti.org/public/site/images/allen/image001.png" alt="" width="171" height="38" /> <img style="width: 136px; height: 38px;" src="https://ojs.imeti.org/public/site/images/ijeti/EBSCO-1.png" width="170" height="35" /> <img style="width: 136px; height: 38px;" src="https://ojs.imeti.org/public/site/images/ijeti/image0031.jpg" width="116" height="38" /> <img style="font-family: 'Noto Sans'; font-size: 10.5pt;" src="https://ojs.imeti.org/public/site/images/ijeti/DOAJ4.png" alt="" /></span></span></p> <p><img style="font-family: 'Noto Sans'; font-size: 10.5pt;" src="https://ojs.imeti.org/public/site/images/ijeti/google5.png" alt="" /><img src="https://ojs.imeti.org/public/site/images/ijeti/CNKI.png" alt="" /> <img src="https://ojs.imeti.org/public/site/images/allen/ProQuest-41.png" /> <img src="https://ojs.imeti.org/public/site/images/ijeti/Resarch_Bible5.png" alt="" /> <img src="https://ojs.imeti.org/public/site/images/ijeti/WorldCat5.png" alt="" width="118" height="40" /> <img src="https://ojs.imeti.org/public/site/images/allen/academia-12.png" width="136" height="27" /> <img src="https://ojs.imeti.org/public/site/images/ijeti/TOCs5.jpg" alt="" /> <img src="https://ojs.imeti.org/public/site/images/allen/Publons-22.5_1.png" /> <img src="https://ojs.imeti.org/public/site/images/allen/crossref3.png" width="92" height="42" /></p> <p> </p> <p style="margin: 0cm 0cm 0pt;"><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;">Under evaluation of SCI.</span></p> <p style="margin: 0cm 0cm 0pt;"> </p>Taiwan Association of Engineering and Technology Innovationen-USInternational Journal of Engineering and Technology Innovation2223-5329<p style="line-height: 150%;"><strong><span style="font-family: Times New Roman; font-size: x-large;">Copyright Notice</span></strong></p> <hr> <p style="line-height: 150%;"> </p> <p style="margin: 0cm 0cm 0pt;"><span lang="EN-US" style='color: black; font-family: "Times New Roman","serif"; mso-bidi-font-size: 12.0pt;'><span style="font-size: medium;">Submission of a manuscript implies: that the work described has not been published before that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication. Authors can retain copyright in their articles with no restrictions. Also, author can post the final, peer-reviewed manuscript version (postprint) to any repository or website.</span></span></p> <p style="line-height: 150%;"> </p> <p> </p> <p style="line-height: 150%;"><img alt="" src="/public/site/images/ijeti/cc.png"></p> <p style="margin: 0cm 0cm 0pt;"><span lang="EN-US" style='color: black; font-family: "Times New Roman","serif"; mso-bidi-font-size: 12.0pt;'><span style="font-size: medium;">Since Jan. 01, 2019, IJETI will publish new articles with Creative Commons Attribution Non-Commercial License, under <a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons <span class="cc-license-title">Attribution Non-Commercial 4.0 International</span> </a><span class="cc-license-identifier"><a href="http://creativecommons.org/licenses/by-nc/4.0">(CC BY-NC 4.0) License</a>.</span></span></span></p> <p style="line-height: 150%;"><span lang="EN-US" style='color: black; font-family: "Times New Roman","serif"; font-size: 12pt; mso-fareast-font-family: 新細明體; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;'>The Creative Commons Attribution Non-Commercial (CC-BY-NC) License permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.</span></p>Design of Deep Learning Acoustic Sonar Receiver with Temporal/ Spatial Underwater Channel Feature Extraction Capability
https://ojs.imeti.org/index.php/IJETI/article/view/13057
<p>In this study, deep learning network technology is employed to solve the problem of rapid changes in underwater channels. The modulation techniques employed are frequency-shift keying (FSK) and the BELLHOP module of MATLAB; they are used to create water with multipath, Doppler shifts, and additive Gaussian white noise such that underwater acoustic receiving signals simulating the actual ocean environment can be obtained. The southwest coastal area of Taiwan is simulated in the manuscript. The results reveal that optimizing the environment by using the virtual time reversal mirror (VTRM) technique can generally mitigate the bit error rates (BERs) of the deep learning network’s model receiver and traditional demodulation receiver. Lastly, seven deep learning networks are deployed to demodulate the FSK signals, and these approaches are compared with traditional demodulation techniques to determine the deep learning network techniques that are most suitable for marine environments.</p>Chih-Ta YenUn-Hung Chen
Copyright (c) 2024 Chih-Ta Yen, Un-Hung Chen
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2024-03-272024-03-2714211513610.46604/ijeti.2023.13057A Score-Based Evaluation Model for Rehabilitation of Existing Pumped Storage Hydropower Plant Construction
https://ojs.imeti.org/index.php/IJETI/article/view/12022
<p>As the proportion of new and renewable energy increases, power control demands are becoming more frequent due to variability in power generation. As a complementary means against this, the pumped storage hydropower plants (PSHP) are attracting attention as energy storage systems (ESS), but it has high construction costs. Therefore, this study aims to improve the economic feasibility by developing the evaluation model of the existing infrastructure into an upper/lower dam suitable for PSHP. The concept of upper dam capacity is newly defined, and the evaluation index is constructed using normalization. A new evaluation system is presented for five factors: environment, stability, energy, capacity, and economy. Finally, it is tested in the pilot area in Korea. Several candidates, including the PSHP in operation, are found to have been distributed with higher scores. These results will help to satisfy the selection of candidates during the preliminary feasibility study phase, and programming them will enable more accurate and rapid assessment.</p>Hyung-Jun ParkHong-Joon ShinDong-Hyun KimSeung-Oh Lee
Copyright (c) 2024 Hyung-Jun Park, Hong-Joon Shin, Dong-Hyun Kim, Seung-Oh Lee
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2024-03-272024-03-2714213715110.46604/ijeti.2023.12022Grid Operation and Inspection Resource Scheduling Based on an Adaptive Genetic Algorithm
https://ojs.imeti.org/index.php/IJETI/article/view/13129
<p>Grid operation and inspection a key links to ensure the safe operation of the power system, which requires efficient task allocation and resource scheduling. To address this problem, this paper proposes a resource scheduling model for grid operation and inspection based on bi-level programming. Firstly, the O&I process is analyzed and defined as a combined optimization problem of the multiple traveling salesman problem (MTSP) and the job-shop scheduling problem (JSP). Secondly, a bi-level programming model of MTSP and JSP is established according to the characteristics of the problem. Finally, an adaptive genetic algorithm is used to solve the problem. The feasibility of the model and the advancement of the algorithm are verified through the simulation of real scenarios and a large number of tests, which provide strong support for the sustainable development of the power system.</p>Bingnan TangJing BaoNan PanMingxian LiuJibiao LiZhenhua Xu
Copyright (c) 2024 Bingnan Tang, Jing Bao, Nan Pan, Mingxian Liu, Jibiao Li, Zhenhua Xu
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2024-03-272024-03-2714215216410.46604/ijeti.2024.13129Closed-House Biofilter Design and Performance Evaluation for Mitigating Environmental Odor Disturbances
https://ojs.imeti.org/index.php/IJETI/article/view/12851
<p>Broiler-closed houses typically lack reduction technology, leading to environmental issues, namely odor. Processing technology can be used, namely biofilters. This study aims to design and construct a closed-house biofilter and perform a test on the biofilter to reduce odors. Odors are measured by the odor gas concentration (ammonia and hydrogen sulfide) and hedonic scale by the panel method. The biofilter consisted of an odor source (closed house), a humidifier, and a biofilter reactor. Factors that influence the size of the biofilter reactor from gas removal activities include air flow rate, retention time, and air volume. The proposed biofilter can reduce the odor from the broiler. Reactor temperature, relative humidity, and bacterial activity affect odor reduction. This successful implementation of a biofilter significantly mitigates odors in a closed-house broiler, addressing a critical environmental concern.</p>Adinda Rizki VirginiaArief Sabdo YuwonoChusnul Arif
Copyright (c) 2024 Adinda Rizki Virginia, Arief Sabdo Yuwono, Chusnul Arif
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2024-03-272024-03-2714216517610.46604/ijeti.2023.12851An Intelligent E-Pharmacopoeia Retrieval System Using Responsive Web Design
https://ojs.imeti.org/index.php/IJETI/article/view/12801
<p>To develop an e-pharmacopeia retrieval mobile system aimed at assisting medical personnel in efficiently assessing precise drug information and ensuring patient safety, this study utilized responsive web design. The research framework incorporated the convergence of the technology acceptance model (TAM) and the information systems success model (ISSM) to investigate user satisfaction and continuance intention. A survey was administered to 151 pharmacy students who had utilized the system for over 30 minutes. The findings revealed that the TAM-ISSM model significantly influenced user satisfaction, surpassing the individual impacts of TAM and ISSM. Furthermore, user satisfaction exhibited a positive and significant impact on continuance intention, which, in turn, demonstrated a positive and significant influence on both individual and organizational performance. This suggests that the proposed system is proficient in accurately identifying and processing drugs, thereby mitigating the pain induced by diseases in patients.</p>Tian-Hsiang HuangWan-Ling ChaoKao-Shing HwangYao-Mei ChenWen-Hsien Ho
Copyright (c) 2024 Tian-Hsiang Huang, Wan-Ling Chao, Kao-Shing Hwang, Yao-Mei Chen, Wen-Hsien Ho
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2024-03-272024-03-2714217718810.46604/ijeti.2023.12801Analysis of Drain-Induced Barrier Lowering for Gate-All-Around FET with Ferroelectric
https://ojs.imeti.org/index.php/IJETI/article/view/12887
<p>This study presents an analytical model for the drain-induced barrier lowering (DIBL) of a junctionless gate-all-around FET with ferroelectric, utilizing a 2D potential model. A multilayer structure of metal-ferroelectric-metal-insulator-semiconductor is used as the gate, as well as the remanent polarization and coercive field values corresponding to HZO are used. The DIBLs obtained with the proposed model demonstrate good agreement with those obtained using the second derivative method, which relies on the 2D relationship between drain current and gate voltage. The results demonstrate that an increase in ferroelectric thickness leads to a negative DIBL value due to the ferroelectric charge. Additionally, there exists an inverse relationship between ferroelectric thickness and channel length to achieve a DIBL value of 0. This condition is satisfied only with the increase of the ferroelectric thickness as the channel radius and insulator thickness increase. The DIBLs increase with higher remanent polarization and lower coercive field, remaining constant when the ratio of remanent polarization and coercive field is maintained.</p>Hakkee Jung
Copyright (c) 2024 Hakkee Jung
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2024-03-272024-03-2714218920010.46604/ijeti.2023.12887Fracture Behavior of Crop Circle Ceramic Tiles: Experimental and Numerical Study
https://ojs.imeti.org/index.php/IJETI/article/view/13070
<p>This research investigates the effect of three-dimensional (3D) bee-crop-circle tiles on load deformation, initial cracking and propagation, and stress redistribution. Experimental tests provide limited data due to the small specimen size and brittle nature of the material. A finite element (FE) model is constructed and validated by laboratory data to analyze the stress-strain responses and failure mode. The model enables a detailed description of stress patterns, stress propagation, and redistribution of layers beneath the bee design. The study concludes that a 3D crop circle-inspired design significantly influences the ultimate load-carrying capacity and stress-related behavior. The load-deformation response is nonlinear, and the coloring influences the thickness of coatings, further affecting the ultimate load and initial stiffness. Furthermore, designs with convex details result in an arc action, deviating the stress concentrations away from the line of loading. The FE model slightly overestimates the initial stiffness but represents the ultimate load and load-displacement response with high accuracy.</p>Ay Lie HanBobby Rio IndriyanthoMhd Rony AsshidiqiePurwantoWidowatiKartonoI Nyoman Jujur
Copyright (c) 2024 Ay Lie Han, Bobby Rio Indriyantho, Mhd Rony Asshidiqie, Purwanto, Widowati, Kartono, I Nyoman Jujur
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2024-03-272024-03-2714220121510.46604/ijeti.2024.13070Personalized Clothing Prediction Algorithm Based on Multi-modal Feature Fusion
https://ojs.imeti.org/index.php/IJETI/article/view/13394
<p>With the popularization of information technology and the improvement of material living standards, fashion consumers are faced with the daunting challenge of making informed choices from massive amounts of data. This study aims to propose deep learning technology and sales data to analyze the personalized preference characteristics of fashion consumers and predict fashion clothing categories, thus empowering consumers to make well-informed decisions. The Visuelle’s dataset includes 5,355 apparel products and 45 MB of sales data, and it encompasses image data, text attributes, and time series data. The paper proposes a novel 1DCNN-2DCNN deep convolutional neural network model for the multi-modal fusion of clothing images and sales text data. The experimental findings exhibit the remarkable performance of the proposed model, with accuracy, recall, F1 score, macro average, and weighted average metrics achieving 99.59%, 99.60%, 98.01%, 98.04%, and 98.00%, respectively. Analysis of four hybrid models highlights the superiority of this model in addressing personalized preferences.</p>Rong LiuAnnie Anak JosephMiaomiao XinHongyan ZangWanzhen WangShengqun Zhang
Copyright (c) 2024 Rong Liu, Annie Anak Joseph, Miaomiao Xin, Hongyan Zang, Wanzhen Wang, Shengqun Zhang
http://creativecommons.org/licenses/by-nc/4.0
2024-03-272024-03-2714221623010.46604/ijeti.2024.13394