2022 International Conference on Intelligent Systems and Computer Vision (ISCV)最新文献

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FSMC for PWM rotor side converter in DFIG-based wind turbine system 基于dfig的风力发电系统中PWM转子侧变换器的FSMC
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806083
Hamza Es-Sarraj, A. E. Bakri, R. M. Alaoui, I. Boumhidi
{"title":"FSMC for PWM rotor side converter in DFIG-based wind turbine system","authors":"Hamza Es-Sarraj, A. E. Bakri, R. M. Alaoui, I. Boumhidi","doi":"10.1109/ISCV54655.2022.9806083","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806083","url":null,"abstract":"The doubly-fed induction generators (DFIGs) are highly complex systems with nonlinearity and uncertainty. Therefore, employing robust intelligent control is required to improve the system performance. This paper takes advantage of combining the sliding mode control (SMC) and fuzzy control. The proposed controller, known as fuzzy sliding mode control (FSMC), can reduce the fluctuation produced by the pulse with a modulation converter and accelerate the trajectory to the sliding surface. The closed-loop system stability is also guaranteed in this work. The results simulation shows good performance and robustness of the proposed controller.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127207728","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}
引用次数: 1
Design of Observer for Cardiovascular Anomalies Detection: an LMI approach 心血管异常检测的观测器设计:LMI方法
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806114
El Khaloufi Ghizlane, Chaibi Noreddine, B. Sadek, El-Jimi Driss, Boumhidi Ismail
{"title":"Design of Observer for Cardiovascular Anomalies Detection: an LMI approach","authors":"El Khaloufi Ghizlane, Chaibi Noreddine, B. Sadek, El-Jimi Driss, Boumhidi Ismail","doi":"10.1109/ISCV54655.2022.9806114","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806114","url":null,"abstract":"In this work, we consider the observer design problem for fault detection in the human cardiovascular system. Our idea of designing an observer for singular systems is based on separating the static equations from the dynamic equations, which simplifies the task of designing the observer by removing the spread of the singularity in the calculus. The objective is to build an observer that simultaneously estimates the states of the system and allows to conclude on the occurrence of faults. By using Lyapunov Method, the convergence of the error of estimation was analyzed and the gain matrix of the observer is got by solving a single linear matrix inequality (LMI). Finally, simulations are carried out and show that the observer efficiently estimates the unknown states and allows us to detect cardiovascular anomalies that may arise from variations in physiological parameters.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129436137","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}
引用次数: 0
ISCV 2022 Cover Page ISCV 2022封面
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/iscv54655.2022.9806132
{"title":"ISCV 2022 Cover Page","authors":"","doi":"10.1109/iscv54655.2022.9806132","DOIUrl":"https://doi.org/10.1109/iscv54655.2022.9806132","url":null,"abstract":"","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"28 16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116893474","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}
引用次数: 0
A 2-stages feature selection framework for colon cancer classification using SVM 基于支持向量机的两阶段结肠癌分类特征选择框架
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806115
Kaouthar Touchanti, Imad Ezzazi, M. Bekkali, Said Maser
{"title":"A 2-stages feature selection framework for colon cancer classification using SVM","authors":"Kaouthar Touchanti, Imad Ezzazi, M. Bekkali, Said Maser","doi":"10.1109/ISCV54655.2022.9806115","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806115","url":null,"abstract":"As the colon cancer gene expression dataset is of high dimension, many irrelevant, redundant and noisy features might be included which may cause unprecedented challenges for data mining and machine learning algorithms. In this paper, we have proposed a new feature selection based method for colon cancer classification. First, we have used the ReliefF filter technique to provide a ranking in terms of the discriminatory ability of each feature. Second, since ReliefF cannot handle feature redundancy as well as feature interaction, another step is performed to select the best subset of gene expression profiles from the available 2K subsets. The proposed method has efficiently reduced the dimensionality of the colon dataset and increased the classification accuracy. The results from the Colon Cancer Gene Expression Data Set confirmed the effectiveness of the proposed method compared to advanced techniques.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"39 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043905","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}
引用次数: 0
A study and identification of COVID-19 viruses using N-grams with Naïve Bayes, K-Nearest Neighbors, Artificial Neural Networks, Decision tree and Support Vector Machine 基于Naïve贝叶斯、k近邻、人工神经网络、决策树和支持向量机的n -gram病毒识别研究
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-07-07 DOI: 10.21203/rs.3.rs-40344/v1
Mohamed el Boujnouni
{"title":"A study and identification of COVID-19 viruses using N-grams with Naïve Bayes, K-Nearest Neighbors, Artificial Neural Networks, Decision tree and Support Vector Machine","authors":"Mohamed el Boujnouni","doi":"10.21203/rs.3.rs-40344/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-40344/v1","url":null,"abstract":"Coronavirus disease 2019 or COVID-19 is a global health crisis caused by a virus officially named as severe acute respiratory syndrome coronavirus 2 and well known with the acronym (SARS-CoV-2). This very contagious illness has severely impacted people and business all over the world and scientists are trying so far to discover all useful information about it, including its potential origin(s) and inter-host(s). This study is a part of this scientific inquiry and it aims to identify precisely the origin(s) of a large set of genomes of SARS-COV-2 collected from different geographic locations in all over the world. This research is performed through the combination of five powerful techniques of machine learning (Naïve Bayes, K-Nearest Neighbors, Artificial Neural Networks, Decision tree and Support Vector Machine) and a widely known tool of language modeling (N-grams). The experimental results have shown that the majority of the aforementioned techniques gave the same global results concerning the origin(s) and inter-host(s) of SARS-COV-2. These results demonstrated that this virus has one zoonotic source which is Pangolin.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"34 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113976272","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}
引用次数: 5
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