2019 5th International Conference on Advances in Electrical Engineering (ICAEE)最新文献_第4页

Harmonics Mitigation Approach by Using An Unconventiona148-Pu1se Passive Rectifier 采用非常规148脉冲无源整流器的谐波抑制方法

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975499

Md. Shoaib Akther, Md. Abdul Malek, Md. Shahidul Islam

引用次数: 4

Real Time Driver Drowsiness Monitoring System by Eye Tracking Using Mean Shift Algorithm 基于Mean Shift算法的眼动追踪驾驶员睡意实时监测系统

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975593

L. Nahar, Ria palit, Aymun Kafil, Z. Sultana, S. Akter

{"title":"Real Time Driver Drowsiness Monitoring System by Eye Tracking Using Mean Shift Algorithm","authors":"L. Nahar, Ria palit, Aymun Kafil, Z. Sultana, S. Akter","doi":"10.1109/icaee48663.2019.8975593","DOIUrl":"https://doi.org/10.1109/icaee48663.2019.8975593","url":null,"abstract":"The incessant occurrence of Vehicle accident has become a common scene in our traveling path. Every year many people being stricken, many of them losses their lives and a huge amount of property extermination being occurred because of vehicular misadventure. According to analysis reports on road accidents of recent years, it’s renowned that the main cause of road accidents resulting in deaths, severe injuries and monetary losses, is due to a drowsy or a sleepy driver. Drowsy state may be caused by lack of sleep, medication, drugs or driving continuously for long time period. But this sloppiness can bring preponderant torments in a victim’s life since it causes fatal damages of lives and properties. So in order to slenderize vehicle accidents it is essential to research an innovative technological system for prefiguring the occurrence of an accident on the basis of drivers’ drowsiness and distraction. The aim of our work is to Figure a system which will monitor driver’s drowsiness and distraction level based on eye tracking. A comparison has been made between the proposed method and other method. It has been shown that proposed method gives better accuracy than others.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"1 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":"129717606","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

Highly Efficient ZnTe Solar Cell with PbTe BSF 具有PbTe BSF的高效ZnTe太阳能电池

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975498

Mrinmoy Dey, Ismad Ahmad Asha, Zarin Tasnim Smita, Maitry Dey, N. K. Das

引用次数: 3

Wind and Solar Powered Bicycle: Lessening the Dependency over Grid Electricity 风能和太阳能自行车:减少对电网电力的依赖

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975494

A. Fayek, Shah Salimullah, Md. Shadman Hasan Shakib, Ariful Islam Anik, Moynul Hossen Khan

引用次数: 0

Home Medication for Elderly Sick People 高龄病人家庭用药

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975618

Asif Ahmed, Md. Raseduzzaman Ruman, A. Barua

引用次数: 3

Structural Properties of CdS Thin-films Deposited by RF Magnetron Sputtering 射频磁控溅射沉积CdS薄膜的结构特性

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975522

E. Ahamed, A. Gupta, M. Khan, M. Matin, N. Amin

引用次数: 0

IoT Based Pilot Wireless Differential Relay 基于物联网的先导无线差分继电器

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975676

Md. Fatin Ishraque, M. Rashid, S. Shezan

引用次数: 0

Surface Impedance Analysis of Graphene Nanoribbon for High Frequency Applications 高频应用石墨烯纳米带的表面阻抗分析

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/icaee48663.2019.8975507

Turja Nandy, M. Debnath

引用次数: 0

Modified Dodecagonal PCF Sensor with High Sensitivity for Detecting Harmful Chemical Compounds used in Poultry Feed 家禽饲料中有害化合物检测的高灵敏度改进十二角PCF传感器

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/ICAEE48663.2019.8975607

M. Niger, M. I. Reja, Jobaida Akhtar, N. Jahan, Rubaya Absar, Saleha Fatema

引用次数: 6

Deep CNN-Based Ensemble CADx Model for Musculoskeletal Abnormality Detection from Radiographs 基于cnn的深度集成CADx模型用于x线片肌肉骨骼异常检测

2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Pub Date : 2019-09-01 DOI: 10.1109/ICAEE48663.2019.8975455

Tusher Chandra Mondol, Hasib Iqbal, M. Hashem

{"title":"Deep CNN-Based Ensemble CADx Model for Musculoskeletal Abnormality Detection from Radiographs","authors":"Tusher Chandra Mondol, Hasib Iqbal, M. Hashem","doi":"10.1109/ICAEE48663.2019.8975455","DOIUrl":"https://doi.org/10.1109/ICAEE48663.2019.8975455","url":null,"abstract":"Musculoskeletal Disorders (MSDs) are excoriations and afflictions that assail body movement of human. In present days diagnosis of musculoskeletal conditions are dependent on radiographs. Sometimes doctors or radiologist can make an error that can mislead the diagnosis of abnormalities. So, we have been motivated to develop a novel Computer-Aided Diagnosis(CADx) system based on Deep Convolutional Neural Network (Deep CNN) that will help the doctors to identify musculoskeletal abnormalities through radiographs. We have used VGG-19, ResNet architecture to build a model for four types of study (Elbow, Wrist, Finger, and Humerus). 5-fold cross-validation method is also applied to evaluate our models. Then we have applied ensemble techniques to improve the model’s performance. Finally, based on some performance evaluating metrics the best one is selected for each of the study types and in aggregate. Our proposed technique tested on a benchmark radiographic dataset named ‘MURA’, and the final result is compared to other prominent techniques. For Elbow, Finger, Humerus, Wrist study, model performance was consecutively 86.45%, 82.13%, 87.15%, and 87.86%. Experimental consequences show that our proposed method is a condign strategy to resolve musculoskeletal abnormalities detection.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"6 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":"131421306","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: 13