Pub Date : 2024-04-19DOI: 10.1109/ICJECE.2024.3380062
Tianchi Tong;Yuwei Yan;Yuan Xia
The traditional methods of improving the resilience of the distribution network have certain limitations, while the integrated energy system makes the grid tightly coupled with other energy systems, providing a new way to improve the resilience of the distribution network. Aiming at the problem of large-scale power outages caused by frequent extreme weather events in recent years, this article proposes a fault recovery strategy for multienergy distribution systems considering enhanced resilience. For the first time, this article considers the load conversion of multienergy forms on the demand side in the process of distribution network restoration. During the period from the occurrence of multiline faults in the distribution network to the fault repaired, this article adopts reconstruction and island division, and cooperates with the multienergy form load conversion on the demand side to reduce the loss of electrical loads. In this article, the calculation example of the modified 69 bus system shows the method adopted in this article reduces the load loss rate by about 30% compared with the traditional scheme, which verifies that load conversion of multienergy forms on the demand side can effectively alleviate the problem of insufficient energy supply when the traditional distributed generation (DG) is used to construct island.
{"title":"Fault Restoration Strategy for Multienergy Distribution Systems With Consideration of Resilience Enhancement","authors":"Tianchi Tong;Yuwei Yan;Yuan Xia","doi":"10.1109/ICJECE.2024.3380062","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3380062","url":null,"abstract":"The traditional methods of improving the resilience of the distribution network have certain limitations, while the integrated energy system makes the grid tightly coupled with other energy systems, providing a new way to improve the resilience of the distribution network. Aiming at the problem of large-scale power outages caused by frequent extreme weather events in recent years, this article proposes a fault recovery strategy for multienergy distribution systems considering enhanced resilience. For the first time, this article considers the load conversion of multienergy forms on the demand side in the process of distribution network restoration. During the period from the occurrence of multiline faults in the distribution network to the fault repaired, this article adopts reconstruction and island division, and cooperates with the multienergy form load conversion on the demand side to reduce the loss of electrical loads. In this article, the calculation example of the modified 69 bus system shows the method adopted in this article reduces the load loss rate by about 30% compared with the traditional scheme, which verifies that load conversion of multienergy forms on the demand side can effectively alleviate the problem of insufficient energy supply when the traditional distributed generation (DG) is used to construct island.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"87-94"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651127","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 : 2024-04-10DOI: 10.1109/ICJECE.2024.3351152
Bashar Abbas Fadheel;Noor Izzri Abdul Wahab;Ali Jafer Mahdi;Mohd Amran Bin Mohd Radzi;Azura Binti Che Soh;Hussein Mohammed Ridha;Veerapandiyan Veerasamy
The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer.
{"title":"Optimal Tuning of Virtual Inertia Control for Frequency Regulation of Microgrid","authors":"Bashar Abbas Fadheel;Noor Izzri Abdul Wahab;Ali Jafer Mahdi;Mohd Amran Bin Mohd Radzi;Azura Binti Che Soh;Hussein Mohammed Ridha;Veerapandiyan Veerasamy","doi":"10.1109/ICJECE.2024.3351152","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3351152","url":null,"abstract":"The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"60-69"},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651132","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 : 2024-04-08DOI: 10.1109/ICJECE.2024.3374951
Jingjing Yang;Mengling Li;Shumin Ran;Jason Gu
The nonlinear parity-time-symmetric wireless power transfer (PT-WPT) system has garnered significant attention for its robustness against variations in the coupling coefficient. Currently, the implementation of nonlinear negative resistance primarily relies on switch-mode converters. Among these, the conventional PT-WPT system based on self-excited converters faces challenges such as limited output power and overall system efficiency (OSE). In this article, we propose a novel dual-supply self-excited PT-WPT system designed to address these challenges, offering a cost-effective solution. We present the circuit, coupled-mode model, and PT-symmetric condition of the proposed system. Furthermore, stability criteria of the system at each equilibrium point are analyzed using Lyapunov’s first method. Finally, we implement a single-supply system to validate the correctness of the models and stability criteria. In addition, a dual-supply system is constructed, achieving an output power of 101.2 W with OSE of 89.2%.
{"title":"Parity-Time-Symmetric Wireless Power Transfer System Based on Self-Excited Converter","authors":"Jingjing Yang;Mengling Li;Shumin Ran;Jason Gu","doi":"10.1109/ICJECE.2024.3374951","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3374951","url":null,"abstract":"The nonlinear parity-time-symmetric wireless power transfer (PT-WPT) system has garnered significant attention for its robustness against variations in the coupling coefficient. Currently, the implementation of nonlinear negative resistance primarily relies on switch-mode converters. Among these, the conventional PT-WPT system based on self-excited converters faces challenges such as limited output power and overall system efficiency (OSE). In this article, we propose a novel dual-supply self-excited PT-WPT system designed to address these challenges, offering a cost-effective solution. We present the circuit, coupled-mode model, and PT-symmetric condition of the proposed system. Furthermore, stability criteria of the system at each equilibrium point are analyzed using Lyapunov’s first method. Finally, we implement a single-supply system to validate the correctness of the models and stability criteria. In addition, a dual-supply system is constructed, achieving an output power of 101.2 W with OSE of 89.2%.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"78-86"},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651131","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 : 2024-03-22DOI: 10.1109/ICJECE.2024.3392875
Ahmet Öncü;Ahmet Günhan Aydın;Artun Akdoğan
This article introduces a comprehensive Mode-S radar simulation, designed to evaluate interrogation and reply signal functionality in various uplink formats (UFs) and downlink formats (DFs). Mode-S radar, crucial in modern aviation, facilitates communication between aircraft and ground systems, thereby enhancing aircraft tracking, situational awareness, and air traffic safety. Our simulation focuses on optimizing interrogation and reply sequences in the 1030- and 1090-MHz channels, respectively. It provides a practical solution for testing complex air flight scenarios, which may be impractical or costly in real life, by replicating challenging conditions in a computerized environment. This approach aids in developing advanced radar signaling algorithms for air traffic control. The simulator’s user-friendly interface displays real-time aircraft data, demonstrating its realworld applicability. Its successful operation underscores its potential to advance Mode-S radar technology and its value for research in the field.
{"title":"Empowering Mode-S Radar Systems With Comprehensive Interrogation and Reply Simulation","authors":"Ahmet Öncü;Ahmet Günhan Aydın;Artun Akdoğan","doi":"10.1109/ICJECE.2024.3392875","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3392875","url":null,"abstract":"This article introduces a comprehensive Mode-S radar simulation, designed to evaluate interrogation and reply signal functionality in various uplink formats (UFs) and downlink formats (DFs). Mode-S radar, crucial in modern aviation, facilitates communication between aircraft and ground systems, thereby enhancing aircraft tracking, situational awareness, and air traffic safety. Our simulation focuses on optimizing interrogation and reply sequences in the 1030- and 1090-MHz channels, respectively. It provides a practical solution for testing complex air flight scenarios, which may be impractical or costly in real life, by replicating challenging conditions in a computerized environment. This approach aids in developing advanced radar signaling algorithms for air traffic control. The simulator’s user-friendly interface displays real-time aircraft data, demonstrating its realworld applicability. Its successful operation underscores its potential to advance Mode-S radar technology and its value for research in the field.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 3","pages":"111-117"},"PeriodicalIF":2.1,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013155","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 : 2024-03-18DOI: 10.1109/ICJECE.2024.3359475
{"title":"IEEE Canadian Journal of Electrical and Computer Engineering","authors":"","doi":"10.1109/ICJECE.2024.3359475","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3359475","url":null,"abstract":"","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 1","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10474158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article proposes a two-stage reliability-based model for the economic dispatch (ED) of thermal units (TUs) and wind turbines (WTs) in the presence of a demand-side response program (DSRP). In the first stage, the well-being analysis (WBS) is performed to determine the power generation and spinning reserve (SR) of the TUs regarding the timely power generation of WTs. In the second stage, the adoption of the responsive load consumption with various conditions of the generation system in the power pool market is established using the cost of expected energy not served criterion. This optimization problem is solved at two stages using the genetic algorithm. To validate the proposed model, numerical studies have been applied to the generation part of 24-Bus IEEE standard test power system including 11 TUs, one wind farm, and 1000 EVs. It is found from simulation results that an 8%–10% shift and increase in the energy consumption with responsive loads (RLs) participation especially EVs during low-load and off-peak hours can lead to more than 53.83% saving in total reliability cost of power system. In addition, the daily smooth load profile causes to savings in total load ED on TUs in the presence of WTs due to removing the unnecessary startup and shot-down costs during a day.
{"title":"Reliability-Based Thermal and Wind Units Economic Dispatch in the Presence of DSRP","authors":"Farzad Arefi;Hassan Meyar-Naimi;Ahmad Ghaderi Shamim","doi":"10.1109/ICJECE.2023.3320217","DOIUrl":"https://doi.org/10.1109/ICJECE.2023.3320217","url":null,"abstract":"This article proposes a two-stage reliability-based model for the economic dispatch (ED) of thermal units (TUs) and wind turbines (WTs) in the presence of a demand-side response program (DSRP). In the first stage, the well-being analysis (WBS) is performed to determine the power generation and spinning reserve (SR) of the TUs regarding the timely power generation of WTs. In the second stage, the adoption of the responsive load consumption with various conditions of the generation system in the power pool market is established using the cost of expected energy not served criterion. This optimization problem is solved at two stages using the genetic algorithm. To validate the proposed model, numerical studies have been applied to the generation part of 24-Bus IEEE standard test power system including 11 TUs, one wind farm, and 1000 EVs. It is found from simulation results that an 8%–10% shift and increase in the energy consumption with responsive loads (RLs) participation especially EVs during low-load and off-peak hours can lead to more than 53.83% saving in total reliability cost of power system. In addition, the daily smooth load profile causes to savings in total load ED on TUs in the presence of WTs due to removing the unnecessary startup and shot-down costs during a day.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"48-59"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140328908","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 : 2024-03-12DOI: 10.1109/ICJECE.2023.3313566
Wenju Sang;Wenyong Guo;Yang Cai;Wenming Guo;Chenyu Tian;Suhang Yu;Shaotao Dai
The performance of the power converter bus bar is not only determined by its normal operational design, but also related to its fault ride-through ability consideration. Conventional busbar design only takes the normal operational performance into account. This article proposes an optimal busbar design method for the modular multilevel converter (MMC) submodule, which takes both the normal and fault ride-through performance into account. The normal operational design is to realize low stray inductance and balanced inductance distribution between parallel capacitor branches. The basic structural design guideline for the MMC submodule is presented. Taking both the stray inductance and manufacturing cost into account, the optimal layout of the busbar is proposed. To balance the capacitor branch currents, the mathematical model of the busbar stray inductance is built. The influence of different busbar structures on the stray inductance is analyzed. The analysis is verified by simulation results. To improve the fault ride-through capability, special consideration is taken into account to reduce the thermal and mechanical stress at the weakest point. Simulation and experimental results verify the efficacy of the proposed approaches.
{"title":"Optimal Busbar Design for the Press-Packed IGBT-Based Modular Multilevel Converter Submodule Considering Both Normal and Fault Ride-Through Conditions","authors":"Wenju Sang;Wenyong Guo;Yang Cai;Wenming Guo;Chenyu Tian;Suhang Yu;Shaotao Dai","doi":"10.1109/ICJECE.2023.3313566","DOIUrl":"https://doi.org/10.1109/ICJECE.2023.3313566","url":null,"abstract":"The performance of the power converter bus bar is not only determined by its normal operational design, but also related to its fault ride-through ability consideration. Conventional busbar design only takes the normal operational performance into account. This article proposes an optimal busbar design method for the modular multilevel converter (MMC) submodule, which takes both the normal and fault ride-through performance into account. The normal operational design is to realize low stray inductance and balanced inductance distribution between parallel capacitor branches. The basic structural design guideline for the MMC submodule is presented. Taking both the stray inductance and manufacturing cost into account, the optimal layout of the busbar is proposed. To balance the capacitor branch currents, the mathematical model of the busbar stray inductance is built. The influence of different busbar structures on the stray inductance is analyzed. The analysis is verified by simulation results. To improve the fault ride-through capability, special consideration is taken into account to reduce the thermal and mechanical stress at the weakest point. Simulation and experimental results verify the efficacy of the proposed approaches.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"36-47"},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140328936","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}
The proportional, derivative, and integral (PID) controllers are commonly used in load frequency control (LFC) problems in micro-grid (MG) systems with renewable energy resources. However, fine-tuning these controllers is crucial for achieving a satisfactory closed-loop response. In this study, we employed a deep deterministic policy gradient (DDPG) reinforcement learning (RL) algorithm to adaptively adjust the PID controller parameters, taking into account the uncertain characteristics of the MG system. The DDPG agent was trained until it achieved the maximum possible reward and to learn an optimal policy. Subsequently, the trained agent was utilized in an online manner to adaptively adjust the PID controller gains for managing the fuel-cell (FC) unit, wind turbine generator (WTG), and plug-in electric vehicle (PEV) battery to meet the load demand. We have conducted various simulation scenarios to compare the performance of the proposed adaptive RL-tuned PID controller with the fuzzy gain scheduling PID (FGSPID) controller. While both methods employ intelligent mechanisms to adjust the gains of the PID controllers, our proposed RL-based adaptive PID controller outperformed the FGSPID controller.
{"title":"Deep Deterministic Policy Gradient Reinforcement Learning Based Adaptive PID Load Frequency Control of an AC Micro-Grid","authors":"Kamran Sabahi;Mohsin Jamil;Yaser Shokri-Kalandaragh;Mehdi Tavan;Yogendra Arya","doi":"10.1109/ICJECE.2024.3353670","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3353670","url":null,"abstract":"The proportional, derivative, and integral (PID) controllers are commonly used in load frequency control (LFC) problems in micro-grid (MG) systems with renewable energy resources. However, fine-tuning these controllers is crucial for achieving a satisfactory closed-loop response. In this study, we employed a deep deterministic policy gradient (DDPG) reinforcement learning (RL) algorithm to adaptively adjust the PID controller parameters, taking into account the uncertain characteristics of the MG system. The DDPG agent was trained until it achieved the maximum possible reward and to learn an optimal policy. Subsequently, the trained agent was utilized in an online manner to adaptively adjust the PID controller gains for managing the fuel-cell (FC) unit, wind turbine generator (WTG), and plug-in electric vehicle (PEV) battery to meet the load demand. We have conducted various simulation scenarios to compare the performance of the proposed adaptive RL-tuned PID controller with the fuzzy gain scheduling PID (FGSPID) controller. While both methods employ intelligent mechanisms to adjust the gains of the PID controllers, our proposed RL-based adaptive PID controller outperformed the FGSPID controller.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 1","pages":"15-21"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140063617","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}
The conventional approach to scalp inspection in the hairdressing industry relies on manually interpreting scalp symptom images. Hairdressers provide treatments based on visual assessment, leading to potential inaccuracies and misjudgments. To address these shortcomings, this article proposes a novel multimodal deep learning-based scalp inspection and diagnosis system. The proposed system employs various artificial intelligence (AI) object recognition modules, such as single-shot multibox detector (SSD)-MobileNetV2, SSD-InceptionV2, Faster region-based convolutional neural network (R-CNN)-InceptionV2, and Faster R-CNN-Inception-ResNetV2-Atrous <xref>(2)</xref> . These modules form a diverse scalp symptom recognition module integrated into an AI recognition server. This study included nine scalp symptoms, encompassing four primary conditions (dandruff, hair loss, gray hair, and oily hair), as well as five special conditions (folliculitis, chemical residue, mold, fungi, fungus, and psoriasis). The efficiency of the proposed system is evaluated through experiments, and adjustments are made to the neural network architecture to achieve optimal performance across diverse symptoms. The experimental results showed that Faster-R-CNN-Inception-ResNetV2-Atrous <xref>(2)</xref> excels in recognizing chemical residue and oily hair symptoms (accuracies of 89.33% and 87.75%, respectively); Faster-R-CNN-Inception-ResNetV2-Atrous <xref>(4)</xref> outperforms in recognizing dandruff, folliculitis, fungal, and psoriasis symptoms (accuracies ranging from 88.77% to 99.72%); and Faster-R-CNN-Inception-ResNetV2-Atrous <xref>(4)</xref> is the best-performing method overall. <italic>Résumé</i> —L’approche conventionnelle de l’inspection du cuir chevelure dans l’industrie de la coiffure repose sur l’interprétation manuelle des images des symptômes du cuir chevelure. Les coiffeurs fournissent des traitements sur la base d’une évaluation visuelle, ce qui entraîne des inexactitudes et des erreurs d’appréciation potentielles. Pour remédier à ces lacunes, cet article propose un nouveau système multimodal d’inspection et de diagnostic du cuir chevelure basée sur l’apprentissage profond. Le système proposé utilise divers modules de reconnaissance d’objets par intelligence artificielle (IA), tels que le détecteur multi-boîtes (SSD)-MobileNetV2, SSD-InceptionV2, le réseau neuronal convolutif régional plus rapide (R-CNN)-InceptionV2, et le R-CNN-Inception-ResNetV2-Atrous <xref>(2)</xref> plus rapide. Ces modules forment un module diversifié de reconnaissance des symptômes du cuir chevelure intégrée dans un serveur de reconnaissance IA. Cette étude a porté sur neuf symptômes du cuir chevelure, englobant quatre affections primaires (pellicules, perte de cheveux, cheveux gris et cheveux huilés), ainsi que cinq affections spéciales (folliculite, résidus chimiques, moisissures, champignons, mycoses et psoriasis). L’efficacité du système proposé est évaluée par des expériences
{"title":"An Efficient Scalp Inspection and Diagnosis System Using Multiple Deep Learning-Based Modules Un système efficace d’inspection et de diagnostic du cuir chevelure utilisant plusieurs modules basés sur l’apprentissage profond","authors":"Liang-Bi Chen;Wan-Jung Chang;Yi-Chan Chiu;Xiang-Rui Huang","doi":"10.1109/ICJECE.2024.3354291","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3354291","url":null,"abstract":"The conventional approach to scalp inspection in the hairdressing industry relies on manually interpreting scalp symptom images. Hairdressers provide treatments based on visual assessment, leading to potential inaccuracies and misjudgments. To address these shortcomings, this article proposes a novel multimodal deep learning-based scalp inspection and diagnosis system. The proposed system employs various artificial intelligence (AI) object recognition modules, such as single-shot multibox detector (SSD)-MobileNetV2, SSD-InceptionV2, Faster region-based convolutional neural network (R-CNN)-InceptionV2, and Faster R-CNN-Inception-ResNetV2-Atrous \u0000<xref>(2)</xref>\u0000. These modules form a diverse scalp symptom recognition module integrated into an AI recognition server. This study included nine scalp symptoms, encompassing four primary conditions (dandruff, hair loss, gray hair, and oily hair), as well as five special conditions (folliculitis, chemical residue, mold, fungi, fungus, and psoriasis). The efficiency of the proposed system is evaluated through experiments, and adjustments are made to the neural network architecture to achieve optimal performance across diverse symptoms. The experimental results showed that Faster-R-CNN-Inception-ResNetV2-Atrous \u0000<xref>(2)</xref>\u0000 excels in recognizing chemical residue and oily hair symptoms (accuracies of 89.33% and 87.75%, respectively); Faster-R-CNN-Inception-ResNetV2-Atrous \u0000<xref>(4)</xref>\u0000 outperforms in recognizing dandruff, folliculitis, fungal, and psoriasis symptoms (accuracies ranging from 88.77% to 99.72%); and Faster-R-CNN-Inception-ResNetV2-Atrous \u0000<xref>(4)</xref>\u0000 is the best-performing method overall. \u0000<italic>Résumé</i>\u0000—L’approche conventionnelle de l’inspection du cuir chevelure dans l’industrie de la coiffure repose sur l’interprétation manuelle des images des symptômes du cuir chevelure. Les coiffeurs fournissent des traitements sur la base d’une évaluation visuelle, ce qui entraîne des inexactitudes et des erreurs d’appréciation potentielles. Pour remédier à ces lacunes, cet article propose un nouveau système multimodal d’inspection et de diagnostic du cuir chevelure basée sur l’apprentissage profond. Le système proposé utilise divers modules de reconnaissance d’objets par intelligence artificielle (IA), tels que le détecteur multi-boîtes (SSD)-MobileNetV2, SSD-InceptionV2, le réseau neuronal convolutif régional plus rapide (R-CNN)-InceptionV2, et le R-CNN-Inception-ResNetV2-Atrous \u0000<xref>(2)</xref>\u0000 plus rapide. Ces modules forment un module diversifié de reconnaissance des symptômes du cuir chevelure intégrée dans un serveur de reconnaissance IA. Cette étude a porté sur neuf symptômes du cuir chevelure, englobant quatre affections primaires (pellicules, perte de cheveux, cheveux gris et cheveux huilés), ainsi que cinq affections spéciales (folliculite, résidus chimiques, moisissures, champignons, mycoses et psoriasis). L’efficacité du système proposé est évaluée par des expériences","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 1","pages":"22-35"},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140063602","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}
The performance of an internal permanent magnet MISC machine (IPMMM) is improved by its cylindrical rotor, which dampens torque ripple. Changing the stator and rotor core materials, comparing with torque values to identify efficient motor and keeping that in consent, then change the magnet material for better ripple torque. The change in the rotor materials to vary the torque by the rotor angle is analyzed. The finite element method is applied to a MISC motor operating at 290 V, 20 A, and 3000 r/min with the goals of increasing torque and decreasing torque ripple. In this machine, changing stator and rotor materials improves the torque. The results are calculated and analyzed numerically, with the results being virtualized graphically.
{"title":"Analysis of Various Core Materials and Permanent Magnets on MISC Type Motor for Electrified Transportation Systems","authors":"Prabhu Sundaramoorthy;Saravanan Sivasamy;T. Sivaprakasam;S. Vijay Shankar;Vijaykumar Arun;Mahadevan Balaji","doi":"10.1109/ICJECE.2023.3339627","DOIUrl":"https://doi.org/10.1109/ICJECE.2023.3339627","url":null,"abstract":"The performance of an internal permanent magnet MISC machine (IPMMM) is improved by its cylindrical rotor, which dampens torque ripple. Changing the stator and rotor core materials, comparing with torque values to identify efficient motor and keeping that in consent, then change the magnet material for better ripple torque. The change in the rotor materials to vary the torque by the rotor angle is analyzed. The finite element method is applied to a MISC motor operating at 290 V, 20 A, and 3000 r/min with the goals of increasing torque and decreasing torque ripple. In this machine, changing stator and rotor materials improves the torque. The results are calculated and analyzed numerically, with the results being virtualized graphically.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139654697","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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