2021 IEEE World AI IoT Congress (AIIoT)最新文献

Development of Web Based Tour Package System 基于Web的旅游套餐系统的开发

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454226

Golam Kibria Anik, Azizul Hakim Tareq, Mohammad Ashraful Haque Abir, Md. Hasibul Islam, Mohammad Monirujjaman Khan

{"title":"Development of Web Based Tour Package System","authors":"Golam Kibria Anik, Azizul Hakim Tareq, Mohammad Ashraful Haque Abir, Md. Hasibul Islam, Mohammad Monirujjaman Khan","doi":"10.1109/AIIoT52608.2021.9454226","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454226","url":null,"abstract":"This paper presents the development of a web-based tour package system. The objective of this paper is to present a review of a web-based system intended for the eco-tourism market in Bangladesh. This paper analyses and discusses the development cycle of the software and the tools used in the development cycle. The paper looks at the design impact of the application and attempts to identify the factors affected by the application. Using the developed web application, users can view and sign up for advertised tours and pay for the tour using a digital payment system. Each advertised tour contains information regarding the tour and users can view reviews written by previous travelers. Using the developed web application, users can view the location of a tourist spots and can get an idea about the distance between the user's current location and the tourist spots. There will be tour guides to guide the travelers to visit all the tourist spots under a tour package. This application will help the growth of the tourism industry by helping users with better accessibility to affordable options.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116594212","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

Prediction of Weather Forecast for Smart Agriculture supported by Machine Learning 基于机器学习的智能农业天气预报

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454184

Francisco Raimundo, A. Glória, P. Sebastião

引用次数: 4

An Interactive Web Platform and Android Application Based on Room Sharing Service for Students 基于学生客房共享服务的交互式Web平台及Android应用

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454175

Intiser Zaman, Tasdid Rahman, Md. Sahidur Rahman, Mohammad Monirujjaman Khan

引用次数: 3

First Enriched Legal Database in Bangladesh with Efficient Search Optimization and Data Visualization for Law Students and Lawyers 孟加拉国第一个为法律学生和律师提供高效搜索优化和数据可视化的法律数据库

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454220

AbirTarique Hridoy, Tahmidur Rahman, Ahmed Ishmum Rashique, Mohammad Monirujjaman Khan

引用次数: 1

A Survey on Machine Learning and Internet of Things for COVID-19 2019冠状病毒病机器学习与物联网调查

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454241

E. Elbasi, Shinu Mathew, A. Topcu, Wiem Abdelbaki

{"title":"A Survey on Machine Learning and Internet of Things for COVID-19","authors":"E. Elbasi, Shinu Mathew, A. Topcu, Wiem Abdelbaki","doi":"10.1109/AIIoT52608.2021.9454241","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454241","url":null,"abstract":"COVID-19 has affected many areas of life worldwide, such as the economy, education, security, social life, and health. In this work, we survey research papers on machine learning, the Internet of things (IoT), medical imaging, and software applications to prevent, diagnose, reduce, and manage COVID-19. Artificial intelligence is an important research area to solve problems in emergent domains from homeland security to biomedical engineering. Artificial intelligence subdomains such as image processing, data mining, networks, graph theory, natural language processing, and computer vision are frequently applied for COVID-19 data. IoT sensors collect data from patients and elderly people in their homes, hospital rooms, or elsewhere for early prediction and monitoring. The collected data are used in machine learning algorithms such as decision tree, naïve Bayes classifier, neural network, and k-means algorithms for classification and clustering. Computed tomography is also commonly used to determine the presence of any COVID-19 infection or damage in patients' lungs. Image segmentation, object detection, and object tracking are used to extract features from medical images. Experimental results of these surveyed papers demonstrate that these approaches are promising for predicting, diagnosing, and managing COVID-19.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116523865","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: 4

Activity & Emotion Detection of Recognized kids in CCTV Video for Day Care Using SlowFast & CNN 使用SlowFast和CNN检测CCTV日托视频中被识别儿童的活动和情绪

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454221

Narayana Darapaneni, Dhirendra Singh, Sharat P Chandra, A. Paduri, Neeraj Kilhore, Shivangi Chopra, Akash Srivastav, Rashmi Tomer, Sudhershan Sureshrao Deshmukh

{"title":"Activity & Emotion Detection of Recognized kids in CCTV Video for Day Care Using SlowFast & CNN","authors":"Narayana Darapaneni, Dhirendra Singh, Sharat P Chandra, A. Paduri, Neeraj Kilhore, Shivangi Chopra, Akash Srivastav, Rashmi Tomer, Sudhershan Sureshrao Deshmukh","doi":"10.1109/AIIoT52608.2021.9454221","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454221","url":null,"abstract":"For working parents a real-life challenge faced is to keep track of their child activities in playschool and creche. Despite having CCTV surveillance available to parents, monitoring 8–10 hours videos on a day-to-day basis is not possible, hence CCTV videos, which carry millions of information, get unnoticed by parents and day-cares. The aim of project was to process CCTV videos to identify the child, detect their respective expressions as well as planned/unplanned activities throughout the day. We have considered angry, disgust, scared, happy, sad, surprised, neutral expressions of kids to be monitored on daily basis. The various activities performed at daycare like playing, drawing, rhyming, dancing along with not so usual activities like slapping, falling, pushing would also be monitored on kids. It can be further extended to create a 8–10 minutes glimpse/summary in form of video/timeline of children's entire day activities and inform their respective parents. This can improvise the overall experience of the daycare for parents.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122953981","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: 4

Wireless Power Transfer By Highly Resonant Technique 利用高共振技术实现无线电力传输

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454240

M. Rasheduzzaman, Yakut Marzan, Mohammad Monirujjaman Khan

引用次数: 1

Developing a Mobile Automated Medical Assistant for Hospitals in Bangladesh 为孟加拉国的医院开发移动自动医疗助手

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454236

Md. Abir Hossen, Ebad Zahir, H. M. Ata-E.-Rabbi, Md. Ali Azam, Md Hafizur Rahman

引用次数: 6

Applicability of IoT for Smart Agriculture: Challenges & Future Research Direction 物联网在智慧农业中的适用性:挑战与未来研究方向

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454209

I. Kaushik, N. Prakash

引用次数: 2

A Cost Effective UV Robot for Disinfecting Hospital and Factory Spaces for Covid-19 and Other Communicable Diseases 一种具有成本效益的紫外线机器人，用于对医院和工厂空间进行Covid-19和其他传染病消毒

2021 IEEE World AI IoT Congress (AIIoT) Pub Date : 2021-05-10 DOI: 10.1109/AIIoT52608.2021.9454191

Md. Mushfiqur Rahman Saad, M. Razzak

引用次数: 2