2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)最新文献_第3页

Evaluation of Asymmetrically Modulated DC/DC Converters With Different Transformer Configurations 不同变压器配置的非对称调制DC/DC变换器的评价

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9509998

Jiayi Kong, K. Smedley

{"title":"Evaluation of Asymmetrically Modulated DC/DC Converters With Different Transformer Configurations","authors":"Jiayi Kong, K. Smedley","doi":"10.1109/ISIEA51897.2021.9509998","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509998","url":null,"abstract":"For isolated three-phase DC/DC converters, different transformer winding configurations shape the phase current differently, which results in different efficiency and power density. In this paper, the impact of four different transformer winding configurations on the performance of a current-tripler-rectifier three-phase full-bridge (CTRTPFB) DC/DC converter with asymmetrical modulation control strategy is studied using the same comparison criteria for all operation scenarios. Depending on the duty cycle and output current, the CTRTPFB converter operates in three different modes, DMIN, DMED, and DMAX. Comparison reveals that the Y–Y and the Δ–Δ configurations have similar performance, so do the Y-Δ and the Δ-Y configurations. In the DMAX mode, the Y–Y and the Δ–Δ configurations perform better than the Y-Δ and the Δ-Y configurations. In the DMED mode, owing to the controllable characteristics, the Y-Y and the Δ-Δ configurations are the viable choices. In the DMIN mode, the Y-Δ and the Δ-Y configurations perform better than the Y–Y and the Δ–Δ configurations. This paper provides a guideline regarding how to select the most suitable configuration for a particular operation and how to determine the circuit parameters.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125923574","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 novel epileptic seizure detection system using scalp EEG signals based on hybrid CNN-SVM classifier 一种基于CNN-SVM混合分类器的头皮脑电信号癫痫检测系统

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9510002

Afef Saidi, S. Ben Othman, S. Ben Saoud

{"title":"A novel epileptic seizure detection system using scalp EEG signals based on hybrid CNN-SVM classifier","authors":"Afef Saidi, S. Ben Othman, S. Ben Saoud","doi":"10.1109/ISIEA51897.2021.9510002","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9510002","url":null,"abstract":"Epilepsy is a neurological disorder that affects more than 2% of the world’s population. Encephalography (EEG) is a commonly clinical tool used for the diagnosis of epilepsy. However, traditional approaches based on visual inspection of EEG signals are tedious and complex. Thus, several automatic seizure detection approaches based on machine learning techniques have been proposed. In this study, a hybrid model for the detection of epileptic seizure is proposed, where convolutional neural network (CNN) is used for automatic feature extraction of EEG signals and support vector machines (SVM) is used for epileptic seizure classification. The proposed approach was evaluated using the Children’s Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) dataset. Experimental results showed that the accuracy of the combined CNN-SVM model outperforms the CNN baseline model. The proposed approach provides a substantial increase in seizure prediction performance in terms of sensitivity compared to both classical machine learning approaches and CNN model that have been presented in the previous studies.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116730063","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

A new postfault operation method for three-level neutral-point-clamped inverters 三电平中性点箝位逆变器故障后运行新方法

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9510008

Mikhail Savastianov, Xueqi Duan, K. Smedley

引用次数: 1

B-COSFIRE and Background Normalisation for Efficient Segmentation of Retinal Vessels B-COSFIRE和背景归一化用于视网膜血管的有效分割

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9510005

Aziah Ali, Wan Mimi Diyana Wan Zaki, A. Hussain, Wan Haslina Wan Abdul Halim, N. Hashim, Wan Noorshahida Mohd Isa

{"title":"B-COSFIRE and Background Normalisation for Efficient Segmentation of Retinal Vessels","authors":"Aziah Ali, Wan Mimi Diyana Wan Zaki, A. Hussain, Wan Haslina Wan Abdul Halim, N. Hashim, Wan Noorshahida Mohd Isa","doi":"10.1109/ISIEA51897.2021.9510005","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9510005","url":null,"abstract":"Ocular diseases are becoming more common these days, especially the ones directly related to diabetes such as diabetic retinopathy (DR). This can be attributed to the steady increase in the number of diabetic cases worldwide. DR can be treated if diagnosed early enough to prevent further damages to retina which could lead to total blindness if left untreated. Automatic segmentation of retinal blood vessels from fundus image is useful towards development of an efficient and accurate computer-assisted retinal diagnosis system. In this study, we propose a combination of B-COSFIRE filter and background normalization methods to segment the retinal blood vessels (RBVs) from fundus image. By performing background normalization on B-COSFIRE filter output and combining it with the original B-COSFIRE output, the segmentation performance can be improved in terms of Sensitivity. Validation of the proposed method on two public databases, namely DRIVE and STARE shows comparable segmentation performance to published methods with improved Sensitivity. The method achieves Sensitivity values of 78.33% and 81.04% and Specificity values of 96.51% and 95.69% for DRIVE and STARE database, respectively.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115508456","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: 2

The Impact of Different Data Mining Classification Techniques in Different Datasets 不同数据集中不同数据挖掘分类技术的影响

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9510006

S. H. Haji, A. Abdulazeez, D. Zeebaree, F. Y. Ahmed, D. A. Zebari

{"title":"The Impact of Different Data Mining Classification Techniques in Different Datasets","authors":"S. H. Haji, A. Abdulazeez, D. Zeebaree, F. Y. Ahmed, D. A. Zebari","doi":"10.1109/ISIEA51897.2021.9510006","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9510006","url":null,"abstract":"Data Mining is the process of finding knowledge through the processing of massive amounts of data from different viewpoints and combining them into valuable information; data mining has been a crucial part in various aspects of human life. It is used to recognize the covered up patterns in a huge amount of data. Classification methods are supervised learning methods that categorize the data item into known categories. Creating classification models from an input dataset is one of the most beneficial techniques in data mining; these methods typically create models that are used to forecast future patterns in data. This work has been done to assess the effectiveness of different classifiers algorithms such as Support Vector Machine (SVM), Naïve Bayes (NB), J48, and Neural Network (NN), these algorithms were applied on several datasets to determine the performance of the algorithm. All techniques were used with 10-fold cross-validation in the machine learning platform WEKA. According to the study’s findings, no algorithm has consistently performed best for each dataset.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143766","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

Novel Health Assessment Techniques for a Modern Power Distribution System 现代配电系统健康评估新技术

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9509983

Robert C. Ivans, Pierce L. Russell, T. Phillips, Vivek Singh, T. McJunkin, C. Rieger

引用次数: 0

A Compassion of Three Data Miming Algorithms for Heart Disease Prediction 三种用于心脏病预测的数据挖掘算法的比较

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9509985

Noor Salah Hassan, Adnan Mohsin Abdulazeez, J. Saeed, Diyar Qader Zeebaree, Adel Al-zebari, F. Y. Ahmed

引用次数: 5

Electrical Tree Investigation on Solid Insulation for High Voltage Applications 高压固体绝缘的电气树研究

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9509999

C. S. K. Abdulah, M. Rohani, B. Ismail, M. Isa, A. S. Rosmi, W. Mustafa, M. Kamarol

引用次数: 1

Machine Learning Algorithm for Developing Classroom Attendance Management System Based on Haar Cascade Frontal Face 基于Haar级联正面的课堂考勤管理系统的机器学习算法开发

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9509990

Mohammed Abduljabbar Mohammed, Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez, Dilovan Asaad Zebari, Zhiman Dlovan Fadhil, F. Y. Ahmed, Emad Majed Rashed

{"title":"Machine Learning Algorithm for Developing Classroom Attendance Management System Based on Haar Cascade Frontal Face","authors":"Mohammed Abduljabbar Mohammed, Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez, Dilovan Asaad Zebari, Zhiman Dlovan Fadhil, F. Y. Ahmed, Emad Majed Rashed","doi":"10.1109/ISIEA51897.2021.9509990","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509990","url":null,"abstract":"The face is an essential characteristic of a person; it is used to distinguish between the personalities of two or more people in the real world. In recent years, different parts of the body have been manipulated to ensure that only the right person has access to their respective accounts, both physical and virtual. Biometrics, which involves identification such as fingerprints, palm veins, DNA, palm print, and face recognition, is one of the methods that has been developed. Similarly, this study would demonstrate how to use image processing to apply facial identification and recognition algorithms to create a device that can identify and recognize the frontal faces of students in a classroom. A face is a front part of a person’s head from the forehead to the chin or the corresponding part of an animal. The face is the most significant element in human experiences since it holds important details about a person or entity. Humans have the potential to recognize others depending on their faces. This paper proposed work to develop a working prototype of a system that will facilitate class control for Technical Informatics College of Akre lecturers in a classroom by detecting the frontal faces of students from an image taken in a classroom. Face recognition and identification technologies have been established in recent years as a result of testing. Many of them are used on social networking sites, financial applications, and government offices such as the Metropolitan Police Service, Facebook, and others.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128741383","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: 3

Evaluating E-commerce Website Content Management System in Assisting Usability Issues 评估电子商务网站内容管理系统在辅助可用性问题中的作用

2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2021-07-10 DOI: 10.1109/ISIEA51897.2021.9509991

Elida Nurfarihin Abdullah, Suzan Ahmad, Marina Ismail, N. Diah

{"title":"Evaluating E-commerce Website Content Management System in Assisting Usability Issues","authors":"Elida Nurfarihin Abdullah, Suzan Ahmad, Marina Ismail, N. Diah","doi":"10.1109/ISIEA51897.2021.9509991","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509991","url":null,"abstract":"The Content Management System (CMS) and e-commerce platforms are the website or e-commerce software platforms that are popular for their flexibility and ease of use. However, the usability of a website is one of the most important quality factors that is not easily measured as it depends on several other factors that are hard to measure. Therefore, this paper aims to provide a result on which of the compared CMSs is the best for assisting in usability issues and design concepts for a website developer. This paper compares several CMSs for e-commerce websites and lists some of its’ features that may help assist usability issues and the design concept of an e-commerce website. The usability principle used in this research is the E-commerce Total Quality Management framework (E-TQMF). For this purpose, we select the most popular e-commerce CMS; namely, Shopify, OpenCart, Magento, and WooCommerce. While a set of website design elements is used when evaluating the design concept. The result obtained from this research is the CMS features that can help in assisting usability issues and design concepts.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134390734","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: 3