2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)最新文献

Modeling and control of a wind energy system connected to the grid 并网风能系统的建模与控制

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668413

A. Flah, Hajer Gaied, M. Tostado‐Véliz

引用次数: 0

Viral Pneumonia Detection Using Modified GoogleNet Through Lung X-rays 改良GoogleNet通过肺部x射线检测病毒性肺炎

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668553

M. S. Ullah, Huma Qayoom, Farman Hassan

{"title":"Viral Pneumonia Detection Using Modified GoogleNet Through Lung X-rays","authors":"M. S. Ullah, Huma Qayoom, Farman Hassan","doi":"10.1109/ISAECT53699.2021.9668553","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668553","url":null,"abstract":"Viral pneumonia occurs in lungs by the viral infection and is a life threating disease if not treated at the right time. Age is a critical factor in this regard and the effect of viral pneumonia varies from person to person diversly. People of an older age and infants are at considerable risk due to viral pneumonia that affects the lungs. It is difficult and time consuming for radiologists to detect the viral pneumonia by manually analyzing the lungs x-rays. So, Deep learning-based approaches are employed on lung x-rays for the accurate detection of viral pneumonia disease to avoid wrong medication. Therefore, it is necessary to propose an automated method that can accurately detect viral pneumonia patients to assist the medical doctors in their decision-making process. In this paper, we employed three different pretrained models such as AlexNet, GoogleNet, and ResNet18 to investigate the performance of transfer learning-based classification task to detect the viral pneumonia patients. We fined tuned all the three models. Along with this, we applied data augmentation to increase the amount of data to avoid the overfitting problem, which is common if the data is small for training the model. Among the three pretrained customized models, we achieved remarkable performance results on GoogleNet and obtained remarkable accuracy of 96.64%, precision of 96.99%, recall of 96.26%, specificity of 97.01%, and F1-score of 96.63%. More specifically, our method effectively detected the viral pneumonia patients accurately and precisely. Experimental results and comparative analysis with existing state-of-the-art methods illustrate that our method is useful in reliable detection of viral pneumonia patients and can be used by radiologists in their decision-making process.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122436279","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

Analysis study of city obstacles shading impact on solar PV vehicle 城市障碍物遮阳对太阳能光伏汽车的影响分析研究

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668573

M. B. Said-Romdhane, S. Skander-Mustapha, I. Slama-Belkhodja

引用次数: 1

A Novel Graphical Password Authentication Scheme with Improved Usability 一种改进可用性的图形密码认证方案

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668599

T. Khodadadi, Yashar Javadianasl, F. Rabiei, M. Alizadeh, M. Zamani, Saman Shojae Chaeikar

引用次数: 5

Multilabel Movie Genre Classification from Movie Subtitle: Parameter Optimized Hybrid Classifier 基于电影字幕的多标签电影类型分类:参数优化混合分类器

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668427

Md. Mehedi Hasan, Sadia Tamim Dip, Tasmiah Rahman, Mst Sonia Akter, Imrus Salehin

{"title":"Multilabel Movie Genre Classification from Movie Subtitle: Parameter Optimized Hybrid Classifier","authors":"Md. Mehedi Hasan, Sadia Tamim Dip, Tasmiah Rahman, Mst Sonia Akter, Imrus Salehin","doi":"10.1109/ISAECT53699.2021.9668427","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668427","url":null,"abstract":"Technological breakthroughs and the interest of business entities have made the categorization of media products gradually conventional in this digital environment. This is usually a multi-label scenario in which an object might be labeled with several categories. Most of the literature addresses the classification of movie genre as a mono-labeling task, generally based on audio-visual features. This study addressed a multilabel movie genre classification model using supervised machine learning techniques to classify the movies into their corresponding genres. The novelty of this work lies in its attempt to optimize the classifier and combine the classifier to make a hybrid classification system. The parameter optimized hybrid classification technique for multilabel movie genre classification has been proposed as a hybrid classification technique that combines SVM and DT. The performance of the classifiers is compared with respect to feature vectors with TF-IDF and BOW representation methods. Dimensionality has been reduced using the chi-square feature selection technique. For performance comparison, we measured the recall, precision and F1-measure for the classifiers. As a result, we recommend the parameter optimized hybrid classification technique because it shows high degree of accuracy regardless of the dataset and the feature vector. If we need to use traditional classifiers, we recommend KNN because it promises high accuracy after selecting the absolute value of parameter K. In order to use SVM, robust scaling will be needed to resolve unbalanced dataset. If we use DT, we need to use the N-gram practice to improve the accuracy.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"12 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179503","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

Specification, Verification, and Calibration of Active Electronically Scanned Array (AESA) Antennas 有源电子扫描阵列(AESA)天线的规范、验证和校准

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668352

Marco Lisi

引用次数: 1

Sensor Node Selection Technique in Wireless Recheargeable Sensor Networks for Cyber-physical Systems 网络物理系统无线可充电传感器网络中的传感器节点选择技术

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668421

E. F. Orumwense, K. Abo-Al-Ez

{"title":"Sensor Node Selection Technique in Wireless Recheargeable Sensor Networks for Cyber-physical Systems","authors":"E. F. Orumwense, K. Abo-Al-Ez","doi":"10.1109/ISAECT53699.2021.9668421","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668421","url":null,"abstract":"In recent times, there has been tremendous growth in the area of wireless sensor networks which has led to the advent of wireless rechargeable sensor networks (WRSNs) that enables wireless energy transfer in improving charging technologies. With this current technology, charging process in a WRSN is mostly achieved with the aid of a wireless charging vehicle (WCV) which charges each sensor nodes in the network. In doing this, there exist some sensors nodes in the network that might have their energies depleted before WCV reaches them due to the fact that the WCV is serving other nodes in the network. In this paper, we develop a sensor node selection algorithm that selects the best possible set of sensor nodes to charge in the network without prior knowledge of the sensors energy levels so as to efficiently utilize the WCV. This scheme is aimed at maximizing the charging throughput and increase the lifetime of the WRSN. The simulation experiment carried out shows that our proposed scheme performs better when compared to other schemes in terms of the charging throughput of the sensor nodes in the network.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393839","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 Review on the Prediction of Energy Consumption in the Industry Sector Based on Machine Learning Approaches 基于机器学习方法的工业部门能耗预测研究进展

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668559

Mouad Bahij, M. Labbadi, M. Cherkaoui, Chakib Chatri, Ali Elkhatiri, Achraf Elouerghi

引用次数: 2

Modeling and simulation of vector control for a Permanent Magnet Synchronous Motor in electric vehicle 电动汽车永磁同步电机矢量控制建模与仿真

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668411

Naoui Mohamed, F. Aymen, B. Mouna, S. Lassâad

{"title":"Modeling and simulation of vector control for a Permanent Magnet Synchronous Motor in electric vehicle","authors":"Naoui Mohamed, F. Aymen, B. Mouna, S. Lassâad","doi":"10.1109/ISAECT53699.2021.9668411","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668411","url":null,"abstract":"In this paper, a vector control system a permanent magnet synchronous motor (PMSM) for an electric vehicle is proposed. Recent studies have shown that for some high-performance servo applications, PMSM can be a serious competitor face the induction machine (IM). The PMSM mathematical model is created based on Park and Clarke transformations. This is to achieve linear dynamics similar to a DC motor. The vector control principle is applied on the PMSM. In order to achieve linear dynamics similar to that of a DC motor. There are two control loops in the linearized model, namely, the current and the speed loops. The aim of the control system is to achieve a quick response. Finally, a control system for the PMSM was created, and the entire motor was tested. The collaborative optimization control experiment, as well as torque tracking and speed restriction tests, validate the correctness and effectiveness of the suggested control technique. The performance of the PMSM drive system under different speeds is evaluated using the MATLAB/Simulink tool.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123098269","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: 6

Development of a testing emulation platform for the validation and design of 5G satellite services 开发5G卫星业务验证与设计测试仿真平台

2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT) Pub Date : 2021-12-06 DOI: 10.1109/ISAECT53699.2021.9668581

M. Quadrini

{"title":"Development of a testing emulation platform for the validation and design of 5G satellite services","authors":"M. Quadrini","doi":"10.1109/ISAECT53699.2021.9668581","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668581","url":null,"abstract":"5G networks are designed to support different kinds of IP based services, allowing QoS-oriented portions of the network (called slices) to best meet each individual service requirements. Even though very challenging use-cases and services are being defined (namely eMBB, URLLC and mMTC), web browsing is still expected to represent a major part of 5G networks traffic. In this context, the inclusion of Satellite segments in 5G networks is gaining more and more interest, with 3GPP actively defining Non-Terrestrial Networks in the latest 5G specifications. In fact, new 5G services can exploit SatCom intrinsic characteristics such as the large coverage and ubiquity. A testing and validation emulation platform can be very beneficial in supporting the design of web-based 5G services, in a network which includes multiple heterogeneous backhaul links (terrestrial and satellite). This paper describes such an emulation platform, on top of which an accurate web-traffic generator is defined, implemented and validated. The goal of the emulation platform and its capabilities is to support the design and validation of SatCom based 5G architectures.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124930544","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