2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)最新文献_第6页

Deposition of CdS Thin Film by Thermal Evaporation 热蒸发沉积CdS薄膜的研究

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679325

Maitry Dey, N. K. Das, A. K. Sen Gupta, Mrinmoy Dey, M. Hossain, M. Matin, N. Amin

{"title":"Deposition of CdS Thin Film by Thermal Evaporation","authors":"Maitry Dey, N. K. Das, A. K. Sen Gupta, Mrinmoy Dey, M. Hossain, M. Matin, N. Amin","doi":"10.1109/ECACE.2019.8679325","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679325","url":null,"abstract":"The CdS thin film is widely used for numerous applications such as in optoelectronic devices, solar cells, LEDs, photonics devices etc. The ultra-thin CdS layer is commonly used as by layer or as window layer for CdTe, CIS, CIGS, CZTS thin-film solar cells. The CdS has high bandgap of 2.42 eV and transparent after 510 nm wavelength. The excellent optoelectronics properties of CdS material are very attractive as hetero-junction partner (n-type) in thin-film solar cells. There are several fabrication techniques used to deposit thin CdS layer such as Screen Printing, Thermal Evaporation (TE), Molecular Beam Epitaxy (MBE), Chemical Vapour Deposition (CVD), Pulsed Laser Deposition (PLD), Sol-Gel, Spray Pyrolysis, Electrochemical Deposition, Close Space Sublimation (CSS), Sputtering, Chemical Bath Deposition (CBD) etc. Among them TE is low cost, faster and the complete set-up is ready to be used in the Lab. In this work, the CdS thin films were grown on borosilicate glass substrate by thermal evaporation techniques using VCM 600 V1 in a high vacuum condition at room temperature. Around 200nm CdS thin film were fabricated on BSG substrate and it took 35 minutes only. As grown CdS thin film were characterized to evaluate its properties for the possible application in CdS/CdTe thin-film solar cell. The as-deposited CdS film characterization results showed lower resistivity with higher mobility and carrier concentration which are good enough to be used in thin-film solar cells, LEDs and photonic devices.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498743","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: 10

A Narrative Analysis on Deep Learning in IoT based Medical Big Data Analysis with Future Perspectives 深度学习在物联网医疗大数据分析中的应用及未来展望

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679200

Tasnova Tabassum Chhowa, Md. Asadur Rahman, A. Paul, Rasel Ahmmed

{"title":"A Narrative Analysis on Deep Learning in IoT based Medical Big Data Analysis with Future Perspectives","authors":"Tasnova Tabassum Chhowa, Md. Asadur Rahman, A. Paul, Rasel Ahmmed","doi":"10.1109/ECACE.2019.8679200","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679200","url":null,"abstract":"The analysis of health-specific parameters and IoT based health monitoring system become a very challenging research scope to merge them with big data handling capability. This paper proposes an idea describing the possible ways to monitor and analyze health conditions collaborating IoT based medical big data through deep learning algorithm. The recent research trend regarding the concerning field often utilizes the conventional machine learning based algorithms those are not suitable for IoT based big medical data because of their manual feature extraction and less accuracy. On this contrary, this paper widely reviews the different research works regarding the big data handling in deep machine learning approaches and their proposals for health monitoring, applicability on IoT based system, accuracy, and suitability regarding big data analysis. Eventually, this paper focuses on deep learning based IoT system for health monitoring tools and contributes to providing relevant results to the different remote doctors in the area of IoT architecture to ensure propzer knowledge about critical patients. It is an approach to synchronize them in a platform that could be a potential solution for the upcoming researchers to implement a sustainable online based health monitoring system with big data accessing capability. In addition, this research will be effective for medical experts to ensure appropriate healthcare facilities to the mass people in the future.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128396967","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: 11

On the development of a web extension for text authentication on Google Chrome 关于在谷歌浏览器上开发文本验证网络扩展程序

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679250

M. Kabir, O. Tayan, Y. Alginahi, M. Hasan, M. A. Rahman

引用次数: 3

Yttrium Barium Copper Oxide Superconductor Used in a Linear Generator for High Power Generation from the Oceanic Wave 钇钡铜氧化物超导体用于海浪发电的线性发电机

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679251

Md Samiul Bashir, Omar Farrok

引用次数: 7

Modeling and Designing a Genetically Optimized PID Controller for Separately Excited DC Motor 分励直流电动机遗传优化PID控制器的建模与设计

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679276

M. I. Gani, Md. Saiful Isalm, M. A. Ullah

引用次数: 0

An Approach for Detection and Correction of Missing Word in Bengali Sentence 孟加拉语句子缺词检测与纠错方法研究

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679416

M. Mridha, Md. Mashod Rana, Md. Abdul Hamid, Md. Eyaseen Arafat Khan, Md. Masud Ahmed, Mohammad Tipu Sultan

引用次数: 3

Analyzing Corrective Maintenance using Change Coupled Clusters at Fix-inducing Changes 在引起修复的更改中使用变更耦合集群分析纠正性维护

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679503

Ali Zafar Sadiq, Ahmedul Kabir, Pritom Saha Akash, Md. Jubair Ibna Mostafa

引用次数: 0

hLGP: A Modified Local Gradient Pattern for Image Classification hLGP:一种用于图像分类的改进局部梯度模式

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679470

U. Habiba, M. R. Howlader, Rahat Hossain Faisal, Md. Mostafijur Rahman

引用次数: 4

Challenges for Electric Vehicle Adoption in Bangladesh 孟加拉国电动汽车采用面临的挑战

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679288

Md. Raju Ahmed, A. K. Karmaker

引用次数: 13

Prediction of Preferred Personality for Friend Recommendation in Social Networks using Artificial Neural Network 基于人工神经网络的社交网络好友推荐偏好人格预测

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679375

Nafis Neehal, M. Mottalib

引用次数: 5