Pub Date : 2024-07-08DOI: 10.46604/ijeti.2024.13315
Cheng-Lung Chang, Shou-Chuan Lai, Ching-Yi Chen
Current research in machine learning primarily focuses on raw coffee bean quality, hampered by limited labeled datasets for roasted beans. This study proposes a domain adaptation approach to transfer knowledge acquired from raw coffee beans to the task of inspecting roasted beans. The method maps the source and target data, originating from different distributions, into a shared feature space while minimizing distribution discrepancies with domain adversarial training. Experimental results demonstrate that the proposed approach effectively uses annotated raw bean datasets to achieve a high-performance quality inspection system tailored specifically to roasted coffee beans.
{"title":"Domain Adaptation for Roasted Coffee Bean Quality Inspection","authors":"Cheng-Lung Chang, Shou-Chuan Lai, Ching-Yi Chen","doi":"10.46604/ijeti.2024.13315","DOIUrl":"https://doi.org/10.46604/ijeti.2024.13315","url":null,"abstract":"Current research in machine learning primarily focuses on raw coffee bean quality, hampered by limited labeled datasets for roasted beans. This study proposes a domain adaptation approach to transfer knowledge acquired from raw coffee beans to the task of inspecting roasted beans. The method maps the source and target data, originating from different distributions, into a shared feature space while minimizing distribution discrepancies with domain adversarial training. Experimental results demonstrate that the proposed approach effectively uses annotated raw bean datasets to achieve a high-performance quality inspection system tailored specifically to roasted coffee beans.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141667373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Personalized Clothing Prediction Algorithm Based on Multi-modal Feature Fusion","authors":"Rong Liu, Annie Anak, Miaomiao Xin, Hongyan Zang, Wanzhen Wang, Shengqun Zhang","doi":"10.46604/ijeti.2024.13394","DOIUrl":"https://doi.org/10.46604/ijeti.2024.13394","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.46604/ijeti.2023.13057
Chih-Ta Yen, Un-Hung Chen
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.
{"title":"Design of Deep Learning Acoustic Sonar Receiver with Temporal/ Spatial Underwater Channel Feature Extraction Capability","authors":"Chih-Ta Yen, Un-Hung Chen","doi":"10.46604/ijeti.2023.13057","DOIUrl":"https://doi.org/10.46604/ijeti.2023.13057","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140373780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.46604/ijeti.2023.12801
Tianhao Huang, Wan-Ling Chao, Kao-Shing Hwang, Yao-Mei Chen, Wen-Hsien Ho
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.
为了开发一个电子药典检索移动系统，以协助医务人员有效评估精确的药物信息并确保患者安全，本研究采用了响应式网页设计。研究框架融合了技术接受模型（TAM）和信息系统成功模型（ISSM），以调查用户满意度和继续使用意向。对使用该系统超过 30 分钟的 151 名药学院学生进行了调查。调查结果显示，TAM-ISSM 模型对用户满意度的影响很大，超过了 TAM 和 ISSM 的单独影响。此外，用户满意度对继续使用意向产生了积极而显著的影响，而继续使用意向又对个人和组织绩效产生了积极而显著的影响。这表明，拟议的系统能够准确识别和处理药物，从而减轻疾病给患者带来的痛苦。
{"title":"An Intelligent E-Pharmacopoeia Retrieval System Using Responsive Web Design","authors":"Tianhao Huang, Wan-Ling Chao, Kao-Shing Hwang, Yao-Mei Chen, Wen-Hsien Ho","doi":"10.46604/ijeti.2023.12801","DOIUrl":"https://doi.org/10.46604/ijeti.2023.12801","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.46604/ijeti.2024.13070
Ay Lie Han, Bobby Rio Indriyantho, Mhd Rony Asshidiqie, Purwanto, Widowati, Kartono, I Nyoman Jujur
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.
{"title":"Fracture Behavior of Crop Circle Ceramic Tiles: Experimental and Numerical Study","authors":"Ay Lie Han, Bobby Rio Indriyantho, Mhd Rony Asshidiqie, Purwanto, Widowati, Kartono, I Nyoman Jujur","doi":"10.46604/ijeti.2024.13070","DOIUrl":"https://doi.org/10.46604/ijeti.2024.13070","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.46604/ijeti.2023.12887
Yen-Chun Hsieh, Hakkee Jung
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.
{"title":"Analysis of Drain-Induced Barrier Lowering for Gate-All-Around FET with Ferroelectric","authors":"Yen-Chun Hsieh, Hakkee Jung","doi":"10.46604/ijeti.2023.12887","DOIUrl":"https://doi.org/10.46604/ijeti.2023.12887","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.46604/ijeti.2023.12851
Adinda Rizki, Arief Sabdo, Chusnul Yuwono, Arif
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.
{"title":"Closed-House Biofilter Design and Performance Evaluation for Mitigating Environmental Odor Disturbances","authors":"Adinda Rizki, Arief Sabdo, Chusnul Yuwono, Arif","doi":"10.46604/ijeti.2023.12851","DOIUrl":"https://doi.org/10.46604/ijeti.2023.12851","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140375967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Grid Operation and Inspection Resource Scheduling Based on an Adaptive Genetic Algorithm","authors":"Bingnan Tang, Jing Bao, Nan Pan, Mingxian Liu, Jibiao Li, Zhenhua Xu","doi":"10.46604/ijeti.2024.13129","DOIUrl":"https://doi.org/10.46604/ijeti.2024.13129","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140373978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.46604/ijeti.2023.12022
Hyung-Jun Park, Hong-Joon Shin, Dong-Hyun Kim, Seung-Oh Lee
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.
{"title":"A Score-Based Evaluation Model for Rehabilitation of Existing Pumped Storage Hydropower Plant Construction","authors":"Hyung-Jun Park, Hong-Joon Shin, Dong-Hyun Kim, Seung-Oh Lee","doi":"10.46604/ijeti.2023.12022","DOIUrl":"https://doi.org/10.46604/ijeti.2023.12022","url":null,"abstract":"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.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on enhancing the security of the SM4 encryption algorithm for power metering data transmission by employing hybrid algorithms to optimize its substitution box (S-box). A multi-objective fitness function is constructed to evaluate the S-box structure, aiming to identify design solutions that satisfy differential probability, linear probability, and non-linearity balance. To achieve global optimization and local search for the S-box, a hybrid algorithm model that combines genetic algorithm and simulated annealing is introduced. This approach yields significant improvements in optimization effects and increased non-linearity. Experimental results demonstrate that the optimized S-box significantly reduces differential probability and linear probability while increasing non-linearity to 112. Furthermore, a comparison of the ciphertext entropy demonstrates enhanced encryption security with the optimized S-box. This research provides an effective method for improving the performance of the SM4 encryption algorithm.
{"title":"Optimization of SM4 Encryption Algorithm for Power Metering Data Transmission","authors":"Yen-Chun Hsieh, Yi-Ming Zhang, Jia Xu, Yi-Tao Zhao, Qing-Chan Liu, Qiu-Hao Gong","doi":"10.46604/ijeti.2023.12675","DOIUrl":"https://doi.org/10.46604/ijeti.2023.12675","url":null,"abstract":"This study focuses on enhancing the security of the SM4 encryption algorithm for power metering data transmission by employing hybrid algorithms to optimize its substitution box (S-box). A multi-objective fitness function is constructed to evaluate the S-box structure, aiming to identify design solutions that satisfy differential probability, linear probability, and non-linearity balance. To achieve global optimization and local search for the S-box, a hybrid algorithm model that combines genetic algorithm and simulated annealing is introduced. This approach yields significant improvements in optimization effects and increased non-linearity. Experimental results demonstrate that the optimized S-box significantly reduces differential probability and linear probability while increasing non-linearity to 112. Furthermore, a comparison of the ciphertext entropy demonstrates enhanced encryption security with the optimized S-box. This research provides an effective method for improving the performance of the SM4 encryption algorithm.","PeriodicalId":43808,"journal":{"name":"International Journal of Engineering and Technology Innovation","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139143561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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