2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)最新文献_第6页

A Secret Sim Switching Technique to Adapt the Upcoming Technology Trends 一种秘密Sim卡交换技术以适应即将到来的技术趋势

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9397022

Md. Nazmul Alam, Md. Mehedi Hassan Onik, M. Hasan

{"title":"A Secret Sim Switching Technique to Adapt the Upcoming Technology Trends","authors":"Md. Nazmul Alam, Md. Mehedi Hassan Onik, M. Hasan","doi":"10.1109/ICICT4SD50815.2021.9397022","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397022","url":null,"abstract":"A Subscriber Identity Module (SIM) is responsible for initiating calls and managing data. Besides several benefits, a physical SIM also creates issues like personal data privacy and barriers to the frequent travelers. To mitigate the aforesaid concerns, the proposed system designs a convenient software (mobile application) based virtual SIM. The proposed system facilitates data secrecy along with already available services currently provided by the network providers. This study also conceptualizes a Secret SIM Manager (SSM) that can effectively provide features like calling from a hidden or random number. Main stakeholders of this SSM are user side mobile devices (application host), intermediate mobile network operators and network operator servers. Finally, the study demonstrates a complete use-case scenario and thought analysis to evaluate the feasibility of our proposed system. Online communication has increased a lot during this Covid19 situation which leads to unwanted data breach too. This study magnificently reduces the phone number breach (especially for minorities) incidents and the other issues generated by physical SIMs.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128072175","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 Microcontroller-based Fire Protection System for the Safety of Industries in Bangladesh 基于单片机的孟加拉工业安全消防系统

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396964

Md. Saiam, Md. Sarower Jahan, Md. Shoab Akther, M. Alam

引用次数: 1

A Review on Twitter Sentiment Analysis Approaches 推特情感分析方法综述

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396915

Jasiya Fairiz Raisa, Maliha Ulfat, Abdullah Al Mueed, S. Reza

引用次数: 12

Septic Fruit's Maturity Inspection and Grade Evaluation Adopting Computer Vision - A Review 基于计算机视觉的败血性水果成熟度检测与等级评定研究进展

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396893

M. Nurullah, Badhan Mazumder

引用次数: 0

A Lightweight CNN Architecture to Identify Various Rice Plant Diseases in Bangladesh 一个轻量级的CNN架构来识别孟加拉国的各种水稻植物病害

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396927

Md. Sazzadul Islam Prottasha, Z. Tasnim, S. Reza, Dilshad Ara Hossain

引用次数: 0

Design and Implementation of Three-Axis Solar Tracking System with High Efficiency 高效三轴太阳能跟踪系统的设计与实现

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396779

Md. Rifad Haider, A. Shufian, Md. Nazmul Alam, M. Hossain, Riadul Islam, Md. Anwarul Azim

{"title":"Design and Implementation of Three-Axis Solar Tracking System with High Efficiency","authors":"Md. Rifad Haider, A. Shufian, Md. Nazmul Alam, M. Hossain, Riadul Islam, Md. Anwarul Azim","doi":"10.1109/ICICT4SD50815.2021.9396779","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396779","url":null,"abstract":"The modern eras have seen different sources of renewable resources, which are naturally finding on a human timescale, such as sunlight, wind, tides, waves, and geothermal heat sources. One such example is solar power. The challenge remains to maximize the capture of the rays from the sun for conversion into electricity. A solar panel receives the maximum sunlight when it is perpendicular to the sun's rays but, the sunlight direction changes regularly with changing time. A fixed solar panel has a fixed orientation to the sky and does not turn to follow the sun. So, the attached solar panel is not able to generate adequate power. The best efficiency of the majority of commercially available solar cells ranges between 10-20%. This percentage shows that there is a high improvement needed. This advanced system deliberates the design and construction of a prototype model for a solar tracking system that has three-axis freedom, which can follow the sunlight in different directions automatically. The proposed method presents the fabrication and installation of a solar panel mount with a multiple-axis solar tracking controller. When sunlight falls perpendicularly onto the solar panels to maximize the capture of the rays by pointing the solar panels towards the sun & following its path across the sky. This way, the maximum electricity generation is ensuring high efficiency. The efficiency can be increased by 25%.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499839","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: 8

Rice Disease Detection using Intensity Moments and Random Forest 基于强度矩和随机森林的水稻病害检测

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396986

Sristy Saha, S. M. M. Ahsan

引用次数: 9

A Lightweight Convolutional Neural Network Model for Child Pneumonia Classification 儿童肺炎分类的轻量级卷积神经网络模型

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396942

K. Monowar, Md. Al Mehedi Hasan, Jungpil Shin

{"title":"A Lightweight Convolutional Neural Network Model for Child Pneumonia Classification","authors":"K. Monowar, Md. Al Mehedi Hasan, Jungpil Shin","doi":"10.1109/ICICT4SD50815.2021.9396942","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396942","url":null,"abstract":"Pneumonia is still a serious threat for children including newborns. Each year many children died of pneumonia. Physicians diagnose pneumonia through some process including reviewing chest X-rays of patients. While reviewing, a single diagnostic mistake may cause a serious threat and do significant harm to patients. In recent years, Computer-aided detection system (CAD) and medical image classification are progressively turning into another research territory. CAD can reduce the physician's effort and help to review chest X-rays fast and error-free. Currently, Researchers build various models to detect pneumonia from chest X-rays. However, there is still a lack of computationally efficient models to diagnose pediatric pneumonia. Further, some off-the-shelf or pre-trained models are not always suitable for mobile and embedded vision applications since these models are not lightweight. In our research, a lightweight convolutional neural network model was built from scratch using basic building blocks which able to learn lung texture features and detect pediatric pneumonia. Our proposed model performance was compared with some off-the-shelf models. The proposed model achieved the best AUC (99.0%), test accuracy (94.6 %), F1 (94.7 %), precision (93.2 %) and specificity (93.1%) scores. Moreover, Several data augmentation algorithms were employed to increase the model's classification ability.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127168351","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

COVID-19: Update, Forecast and Assistant - An Interactive Web Portal to Provide Real-Time Information and Forecast COVID-19 Cases in Bangladesh 2019冠状病毒病:更新、预测和助手——在孟加拉国提供实时信息和预测COVID-19病例的交互式门户网站

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396786

Md. Shahriare Satu, M. Rahman, Maksud Alam Rony, Ahmedur Rahman Shovon, Md. Jane Alam Adnan, Koushik Howlader, M. Kaiser

{"title":"COVID-19: Update, Forecast and Assistant - An Interactive Web Portal to Provide Real-Time Information and Forecast COVID-19 Cases in Bangladesh","authors":"Md. Shahriare Satu, M. Rahman, Maksud Alam Rony, Ahmedur Rahman Shovon, Md. Jane Alam Adnan, Koushik Howlader, M. Kaiser","doi":"10.1109/ICICT4SD50815.2021.9396786","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396786","url":null,"abstract":"Since December 2019, Novel coronavirus disease has been shown an extensive impact on social, mental, personal, and economic fields throughout the world. In this pandemic situation, people are worried and interested to know what is going on in the upcoming days. Therefore, it is very important to provide relevant information about how many people are affected and will infect in near future. Moreover, they need to know how to spread different symptoms and prevention steps of this disease. Hence, we developed an informative and prediction-based web portal named COVID-19: Update, Forecast and Assistant which provides real-time information on COVID-19 cases in Bangladesh and worldwide. In this model, we also provide a machine learning-based short-term forecasting web tool that is used to predict infectious and fatality cases in an upcoming couple of days. Also, we provide precaution steps against coronavirus, emergency contacts of testing, and treatment centers for individuals.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128841057","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

Automatic Digit and Alphabet Recognition Based Online Toll Collection System 基于数字和字母自动识别的在线收费系统

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396844

M. Hossen, M. Akter, Khaled Mohammed Saifuddin

引用次数: 0