2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)最新文献_第9页

Modeling of regulated power systems based on the Electromechanical Energy Approach for assessing small signal stability 基于机电能量法评估小信号稳定性的稳压电力系统建模

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514177

Rodrigo Trentini, Rüdiger Kutzner, L. Hofmann

引用次数: 0

An Improved Reversible Data Hiding Algorithm for Image Contrast Enhancement 一种改进的图像对比度增强可逆数据隐藏算法

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514111

I. Jafar, Khalid A. Darabkh

引用次数: 0

6/4 SRM electromagnetic modeling and control by using Finite element method 6/4基于有限元法的SRM电磁建模与控制

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514120

Kassimi Youghourta, Guettaf Abderrazak, Ali Arif

引用次数: 0

Using NN-DEVS Approach for Modelling and Simulation of Imperfect Systems: Application to the Reactive Navigation of Autonomous Robot 基于NN-DEVS方法的不完全系统建模与仿真:在自主机器人响应式导航中的应用

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514097

Kadda Mostefaoui, Y. Dahmani, B. Mebarek, Mohamed Goucem

引用次数: 0

Transfer Learning in Ensemble Convolutional Neural Networks Toward the Detection of Microscopic Fusarium Oxysporum 基于集成卷积神经网络的迁移学习在显微尖孢镰刀菌检测中的应用

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514089

Josh Daniel L. Ong, Erinn Giannice T. Abigan, Luis Gabriel A. Cajucom, P. Abu, M. R. Estuar

{"title":"Transfer Learning in Ensemble Convolutional Neural Networks Toward the Detection of Microscopic Fusarium Oxysporum","authors":"Josh Daniel L. Ong, Erinn Giannice T. Abigan, Luis Gabriel A. Cajucom, P. Abu, M. R. Estuar","doi":"10.1109/ICECCE52056.2021.9514089","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514089","url":null,"abstract":"The Panama disease, also known as the Fusarium wilt, is a deadly disease known to affect banana plants all over the world. Caused by a fungal pathogen known as Fusarium oxysporum f. sp. cubense (Foc), the disease has been a constant threat to banana producers considering that it cannot be eradicated once it has infected the soil. A new strain that emerged in 1989 called Tropical Race 4 (TR4) is now threatening the Cavendish cultivar, the most popular banana variety being grown today. Furthermore, symptoms of the disease are not visible until late stages of the infection. While there are methods that accurately determine the presence of Foc in a soil sample, these are costly and inaccessible to most banana producers. Thus, we propose the use of convolutional neural networks in the automatic detection of Foc TR4 in soil samples with the use of microscopy. This study utilized a dataset containing microscopy images of various fungal species captured using three distinct microscopy techniques: brightfield, darkfield, and fluorescent. Transfer learning has shown to make significant improvements to the performance of the models in classifying microscopic fungi. The best performing individual model was trained exclusively on brightfield images and has achieved an accuracy score of 93.92% while the best ensemble model was able to achieve an accuracy of 97.55%. Furthermore, tests on a subset meant to simulate realistic appearances of Foc have shown that the final model is viable for actual field use.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120941255","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

Optimizing Mechanical and Physical Properties of Phosphorus Pentoxide as Solid Electrolyte 优化五氧化二磷作为固体电解质的力学和物理性能

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514192

Abeer F. Al-Attar

{"title":"Optimizing Mechanical and Physical Properties of Phosphorus Pentoxide as Solid Electrolyte","authors":"Abeer F. Al-Attar","doi":"10.1109/ICECCE52056.2021.9514192","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514192","url":null,"abstract":"The long lifetime of solid oxide fuel cells (SOFCs) considers one of the most important significant features for estimating the high performance of SOFCs achieved with the high mechanical stability of electrolyte for electrolyte supported fuel cells. Therefore, this paper clarifies the enhancement of the mechanical stability and physical properties for solid oxide electrolytes by synthesized new SOFC electrolytes from two different molar percentages of Phosphorus Pentoxide dopant (P<inf>2</inf>O<inf>5</inf>)<inf>0.006-</inf>(Y<inf>2</inf>O<inf>3</inf>) <inf>0.03-</inf>(ZrO<inf>2</inf>)<inf>0.92</inf>, and (P<inf>2</inf>O<inf>5</inf>)<inf>0.012-</inf>(Y<inf>2</inf>O<inf>3</inf>)<inf>0.03</inf>(ZrO<inf>2</inf>)<inf>-0.92</inf>. The two electrolytes were produced successfully by using the solid-state method. Then, the influence of Phosphorus Pentoxide molar percentages dopant on the properties of sintered electrolytes was studied. Thus, the mechanical properties were investigated by the nanoindentation method, and the physical properties were accurately calculated by the ASTM method. Results showed that the mechanical properties precisely correspond to the relative density of the sintered electrolytes, and it appeared the higher Vickers hardness with toughness strength and higher relative density noticed with the electrolyte that had the lower P<inf>2</inf>O<inf>5</inf> dopant.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133901394","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

Design and Implementation of a 2.4 GHz Yagi-Uda Antenna and Dependence of the Antenna Parameters to the Structural Parameters 2.4 GHz Yagi-Uda天线的设计与实现及天线参数与结构参数的关系

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514129

Aykut Çınay, E. Kurt, Kavhan CelıK

引用次数: 0

A New Approach to Reconfiguration of Electric Distribution Networks 配电网重构的一种新方法

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514265

Majid S. M. Al-Hafidh, O. Al-Yozbaky, Azhear. S. Al-Fahadi

引用次数: 0

The Design of a Two-element Radio Interferometer Using Satellite TV Equipment 卫星电视设备双元无线电干涉仪的设计

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514076

Tauriq Latief, S. Winberg, A. Mishra

引用次数: 0

Non-Linear Auto-Regressive Modeling based Day-ahead BESS Dispatch Strategy for Distribution Transformer Overload Management 基于非线性自回归模型的配电变压器负荷管理日前调度策略

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514132

Mukesh Kumar, R. Krishan

{"title":"Non-Linear Auto-Regressive Modeling based Day-ahead BESS Dispatch Strategy for Distribution Transformer Overload Management","authors":"Mukesh Kumar, R. Krishan","doi":"10.1109/ICECCE52056.2021.9514132","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514132","url":null,"abstract":"Distribution Transformer (DT) overload management is a promising application for Battery Energy Storage Systems (BESSs) in urban areas with space constraints and growing load. However, the BESS operation must be optimized so as to ensure minimum impact on both the battery cycling and the DT life. Hence, a day-ahead dispatch strategy can allow the BESS to maintain its state of charge and identify the crucial load-peaks to cater to ensuring minimum stress on the DT. The present work proposes a non-linear autoregressive with exogenous input (NARX) framework for short-term load forecasting. The nonlinearity is approximated by an artificial neural network. The proposed method uses past electricity consumption data of a distribution utility in New Delhi, India and the corresponding weather data to predict the future load demand on a particular DT serving a locality. The results obtained from the proposed method are used for defining the charging/discharging level of the BESS on a day-ahead basis to minimize the transformer loss-of-life. The results obtained from the proposed NARX model are encouraging and the model successfully forecasts the load for three days with a mean absolute percentage error (MAPE) of 6.17%.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114295640","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