2019 5th International Conference on Advances in Electrical Engineering (ICAEE)最新文献_第9页

Deep Residual Network-based Melanocytic Lesion Classification with Transfer Learning 基于迁移学习的深度残差网络黑素细胞病变分类

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975418

Murtaza Saad, Sheikh Md. Rabiul Islam, Fahmida Binte Fazal

引用次数: 1

Analysis of Online Marketplace Data on Social Networks Using LSTM 基于LSTM的社交网络在线市场数据分析

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975591

Alpana Akhi Prova, Tania Akter, Md. Rafiqul Islam, Md. Rakib Uddin, Tanvir Hossain, M. Hannan, Md Safaet Hossain

引用次数: 1

Deep Convolutional Neural Network Exploiting Transfer Learning for Country Recognition by Classifying Passport Cover 基于迁移学习的深度卷积神经网络在护照封面分类中的应用

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/ICAEE48663.2019.8975666

Md. Jahid Hasan, Md Ferdous Wahid, Md. Shahin Alom

{"title":"Deep Convolutional Neural Network Exploiting Transfer Learning for Country Recognition by Classifying Passport Cover","authors":"Md. Jahid Hasan, Md Ferdous Wahid, Md. Shahin Alom","doi":"10.1109/ICAEE48663.2019.8975666","DOIUrl":"https://doi.org/10.1109/ICAEE48663.2019.8975666","url":null,"abstract":"Nowadays, Citizen of one country is traveling to another country to settle their various needs through widespread modern transportation system. However, Passport is a worldly recognized indispensable identity document which is required for travelling internationally. Moreover, Citizen of many countries is strictly prohibited from travelling to other certain countries. So, Passport inspection is a key responsibility for immigration officers in order to confirm the identity of traveler. In addition to that it is a laborious and time-consuming task for immigration officers to check all passports meticulously. Hence, automatic country recognition from passport cover image can save a lot of time and physical labour by identifying those unauthorized travelers. Thus in this paper, we have investigated an automatic system using Deep Convolutional Neural Network (DCNN) based on transfer learning with Support Vector Machine (SVM) classifier to analyze passport cover for country identification. Here, the Inception-ResNet-v2 DCNN architecture has been retrained with 80% of image dataset which includes ten classes of passport cover of ten countries using transfer learning method for feature extraction and the extracted feature were then used to train SVM. The proposed model achieved an accuracy level around of 98.75% on the test image dataset.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124477792","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 New Routing Scheme for Multi-cluster Flying Ad hoc Networks 一种新的多集群飞行Ad hoc网络路由方案

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/ICAEE48663.2019.8975550

Sampad Banik, M. Mowla, P. Sarkar

引用次数: 4

Comparative Study of Different Transformer-less Inverter Topologies for Grid-tied Photovoltaic System 并网光伏系统不同无变压器逆变器拓扑结构的比较研究

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975675

A. Saha, Shameem Ahmad, S. Mekhilef, Umme Kulsum Jhuma, Haidar Islam, Zahirul Amin Chowdhury, Monirul Islam

{"title":"Comparative Study of Different Transformer-less Inverter Topologies for Grid-tied Photovoltaic System","authors":"A. Saha, Shameem Ahmad, S. Mekhilef, Umme Kulsum Jhuma, Haidar Islam, Zahirul Amin Chowdhury, Monirul Islam","doi":"10.1109/icaee48663.2019.8975675","DOIUrl":"https://doi.org/10.1109/icaee48663.2019.8975675","url":null,"abstract":"Lately, interest is developing significantly on transformerless photovoltaic (PV) inverter for its small size, low cost and high efficiency compared to the inverter which has transformer. Different topologies of transformerless inverters are stated in the literature based on the leakage current characteristics. In this paper five different topologies of transformerless inverters (H5, H6, HERIC, Modified H6, OH5) have been selected for analysis. For controlling the grid current and voltage of the DC link a common controller for all the topologies has been designed based on PI controller and SPWM technique. These two techniques have been used to generate the switching pulses for the inverter switches. The simulation of all the five topologies are conducted in MATLAB/SIMULINK environment and analysis has been done. Finally, based on that a comparative study has been obtained based on the component ratings, leakage current, maximum efficiency and components number to determine a better topology for real world operation.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122034094","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: 9

[Copyright notice] (版权)

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975571

引用次数: 0

Correlation between Transmission Reliability Margin and Standard Deviation of Uncertainty 传输可靠性裕度与不确定性标准差的相关性研究

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975482

Awatif Nadia, A. Chowdhury

引用次数: 2

Performance Analysis of Monthly Averages Solar Radiation Estimation Models for Teknaf Bangladesh Teknaf孟加拉国月平均太阳辐射估算模型的性能分析

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975552

Mohammad Nurul Absar, Md. Fokhrul Islam

{"title":"Performance Analysis of Monthly Averages Solar Radiation Estimation Models for Teknaf Bangladesh","authors":"Mohammad Nurul Absar, Md. Fokhrul Islam","doi":"10.1109/icaee48663.2019.8975552","DOIUrl":"https://doi.org/10.1109/icaee48663.2019.8975552","url":null,"abstract":"To establish solar based renewable energy technology, it’s important to evaluate the accurate solar radiation data of particular location due to solar power plant output depend on solar radiation. In this study, Calculating solar radiation in Teknaf area of Bangladesh by using last five year’s monthly average temperature and sunshine hour’s collected from the Teknaf station under Bangladesh Meteorological Department, Dhaka. However, Maximum weather station of the Bangladesh Meteorological Department cannot record direct solar radiation data. To estimate monthly average solar radiation, several equations were considered which is developed based on Temperature and Sunshine hours. Evaluated the performance of this equation done by applying the statistical analysis to select the suitable model for considering the location. Finally comparative studies between the estimated monthly average solar radiations and collected data from National Aeronautics and Space Administration (NASA) surface meteorology and Solar Energy (SSE) that have record the global solar radiation on the horizontal surface, measured from the orbiter. The result shows that sunshine hour’s methods provide better performance than temperature methods and Samuel and Ogelman et al. sunshine hour’s based models are appropriate for Teknaf because of better statistical model performance analysis.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131915658","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 Review of IoT Application in a Smart Traffic Management System 物联网在智能交通管理系统中的应用综述

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/ICAEE48663.2019.8975582

Md Khurram Monir Rabby, Muhammad Mobaidul Islam, Salman Monowar Imon

{"title":"A Review of IoT Application in a Smart Traffic Management System","authors":"Md Khurram Monir Rabby, Muhammad Mobaidul Islam, Salman Monowar Imon","doi":"10.1109/ICAEE48663.2019.8975582","DOIUrl":"https://doi.org/10.1109/ICAEE48663.2019.8975582","url":null,"abstract":"This paper explores the advancement of smart traffic management system using the Internet of Things (IoT). It works as middleware on the foundation of the IoT and augments the idea of the smart city through the traffic light control, smart parking, smart emergent assistance, anti-theft security system, and others. IoT provides an effective way of interactions among the web devices with the traffic embedded sensors, services, actuators, and other interconnected networks. Hence, the application of IoT in the smart traffic management system is not only limited to the reduction of the traffic congestion, air quality improvement, and traffic flow optimization but also extended to the continuous monitoring and ensuring the security and safety for the elderly people. Acquiring multiple sources of traffic information for data analysis, IoT monitors the traffic flow, controls the traffic operation and stores the correct decision for the future information presentation. Having a combination of advanced machine learning approach and data-driven technique, there are implementation limitations of this technology. However, this survey provides a good insight into the application of IoT in the smart traffic management system based on the existing research perspective.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134238337","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: 18

Predicting the Probability of Landslide using Artificial Neural Network 基于人工神经网络的滑坡概率预测

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975696

A. Roy, Md Mominul Islam

引用次数: 4