2021 International Conference on Technological Advancements and Innovations (ICTAI)最新文献

Three-Dimensional Reconstruction of Satellite images using Generative Adversarial Networks 基于生成对抗网络的卫星图像三维重建

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673457

Cliona J Costa, S. Tiwari, Krishna Bhagat, Akash Verlekar, K. Kumar, S. Aswale

{"title":"Three-Dimensional Reconstruction of Satellite images using Generative Adversarial Networks","authors":"Cliona J Costa, S. Tiwari, Krishna Bhagat, Akash Verlekar, K. Kumar, S. Aswale","doi":"10.1109/ICTAI53825.2021.9673457","DOIUrl":"https://doi.org/10.1109/ICTAI53825.2021.9673457","url":null,"abstract":"3D reconstruction has piqued the interest of many disciplines, and many researchers have spent the last decade striving to improve on latest automated three-dimensional reconstruction systems. Three Dimensional models can be utilized to tackle a wide range of visualization problems as well as other activities. In this paper, we have implemented a method of Digital Surface Map (DSM) generation from Aerial images using Conditional Generative Adversarial Networks (c-GAN). We have used Seg-net architecture of Convolutional Neural Network (CNN) to segment the aerial images and then the U-net generator of c-GAN generates final DSM. The dataset we used is ISPRS Potsdam-Vaihingen dataset. We also review different stages if 3D reconstruction and how Deep learning is now being widely used to enhance the process of 3D data generation. We provide binary cross entropy loss function graph to demonstrate stability of GAN and CNN. The purpose of our approach is to solve problem of DSM generation using Deep learning techniques. We put forth our method against other latest methods of DSM generation such as Semi-global Matching (SGM) and infer the pros and cons of our approach. Finally, we suggest improvements in our methods that might be useful in increasing the accuracy.","PeriodicalId":278263,"journal":{"name":"2021 International Conference on Technological Advancements and Innovations (ICTAI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116887143","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

An Introductory Assessment on Computational Algorithm in Initial Finding of COVID-19 Cases 新型冠状病毒病例初发现计算算法的初步评估

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673407

S. Jasmindebora, M. Mahendrakumar, A. Nanoty, V. Shanmugasundaram, Anurag Srivastava, Baba Vajrala

{"title":"An Introductory Assessment on Computational Algorithm in Initial Finding of COVID-19 Cases","authors":"S. Jasmindebora, M. Mahendrakumar, A. Nanoty, V. Shanmugasundaram, Anurag Srivastava, Baba Vajrala","doi":"10.1109/ICTAI53825.2021.9673407","DOIUrl":"https://doi.org/10.1109/ICTAI53825.2021.9673407","url":null,"abstract":"This research discusses how to detect coronavirus patients using various target optimization and deep learning methods. This research utilizes the J48 decision tree methodology to describe the extended attributes of X-ray coronagraphs to identify polluted ill persons rapidly and efficiently. The investigation has found eleven distinct releases of the converting neural network to categorize infected individuals utilizing coronavirus pneumonia employing X-ray imaging (CNN). An emperor penguin and its objectives also indicate the characteristics of the CNN model. In the classified x-ray photos, a comprehensive model analysis displays the proper percentages of the features such as accuracy, precision, recollections, specificities, and F1. Extensive testing has shown that the new strategy outperforms competitors using wellknown performance criteria. The proposed model is therefore suitable for the Covid-19 disease radiation thoroughbred image in real-time. The developed/projected design is unique and will aid in the COVID-19 screening process optimization.","PeriodicalId":278263,"journal":{"name":"2021 International Conference on Technological Advancements and Innovations (ICTAI)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124921042","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

Virtual Office Prototype: A Unity-2D work Simulation 虚拟办公室原型:一个Unity-2D工作模拟

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673456

C. P. Mallikarjuna Gowda, A. Srivastava, Shubham Chakraborty, Anurag Ghosh, Harsh Raj

{"title":"Virtual Office Prototype: A Unity-2D work Simulation","authors":"C. P. Mallikarjuna Gowda, A. Srivastava, Shubham Chakraborty, Anurag Ghosh, Harsh Raj","doi":"10.1109/ICTAI53825.2021.9673456","DOIUrl":"https://doi.org/10.1109/ICTAI53825.2021.9673456","url":null,"abstract":"In today’s world virtual office have become the talk of the town. In a very less span of time, the number of people using it have grown exponentially. Virtual Office management is a science that requires the use of a scientific tool that can be used for the management of the virtual office. Many tools and applications can be used for the management of the virtual office. The most important of them is a virtual office management application that uses unity and agora.io. The main purpose of a virtual office management application is to increase work effectiveness and to complete standard operating procedures in it. The virtual office management application should be based on a standard operating procedure. The application should have a user interface that is simple and easy to use. Though the problems of missing customer letters, conflicting schedules are there but it can be rectified as we move on. So, to overcome the problem faced by today’s world, we have designed a prototype of virtual office which can be downloaded from Heroku and after creating a server would be ready to use.","PeriodicalId":278263,"journal":{"name":"2021 International Conference on Technological Advancements and Innovations (ICTAI)","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122718559","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

Identification of Unmasked Faces: Protection in Public Places from COVID-19 and Other Infections 识别未戴口罩的面孔:在公共场所防范COVID-19和其他感染

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673298

G. Aggarwal, Atharv Sinha, Pranav Srivastava, Prerna Agarwal

{"title":"Identification of Unmasked Faces: Protection in Public Places from COVID-19 and Other Infections","authors":"G. Aggarwal, Atharv Sinha, Pranav Srivastava, Prerna Agarwal","doi":"10.1109/ICTAI53825.2021.9673298","DOIUrl":"https://doi.org/10.1109/ICTAI53825.2021.9673298","url":null,"abstract":"The $3^{mathrm{r}mathrm{d}}$ wave of Coronavirus is hitting the world. The doctors and scientists are also in their last phase of developing a vaccine. But it is challenging to get the vaccine for everyone due to several factors such as production, supply chain, cold chain and price. Till then, the only way to prevent infection is to wear a mark and follow social distancing. This paper describes how to identify mask and no-mask faces in public areas using image processing algorithms. One of the significant steps taken by people around the world to stay safe is wearing masks. This research-based project gets a camera-based solution to detect faces and recognize them if they exist in the database. If the live stream has unmasked faces, which aren’t present in the existing database, give out an alarm to alert the administrator or user. It is a significant project for times like these because now, with the lockdown ending in the world because of financial meltdowns, most public places like malls, temples, shops, grocery stores, and medical stores are opening. A concern for the safety and well-being of everyone around us because the virus can spread at a logarithmic rate and cause mass damage in the form of large bills and some cases, death. To avoid this, we always have to wear masks when in public places, and this is what the project does. The crucial technologies used in our manuscript are Face Detection, Face Recognition & Identification, and Feature Detection in the face.","PeriodicalId":278263,"journal":{"name":"2021 International Conference on Technological Advancements and Innovations (ICTAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128533362","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

Novel Framework for Anomaly Detection Using Machine Learning Technique on CIC-IDS2017 Dataset 基于CIC-IDS2017数据集的机器学习异常检测新框架

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673238

Richa Singh, Gaurav Srivastav

引用次数: 2

A Systematic Literature Survey on Generative Adversarial Network Based Crop Disease Identification 基于生成对抗网络的作物病害识别系统文献综述

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673159

Aruna Mittal, Hridesh Gupta

引用次数: 0

Performance Analysis of Machine Learning Algorithms for Intelligent Recommender System 智能推荐系统机器学习算法的性能分析

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673257

Pooja, Vishal Bhatnagar

引用次数: 0

Wearable Lower Limb Exoskeletons for paraplegia: A Review 可穿戴下肢外骨骼用于截瘫:综述

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673413

Prabhakara Rao Kapula, I. A. Pasha, B. A. Kumar, V. Sowmya

引用次数: 0

An Analytical Survey of User Privacy on Social Media Platform 社交媒体平台上用户隐私的分析调查

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673402

Vimal Bibhu, Shailaja Salagrama, B. P. Lohani, Pradeep Kushwaha

引用次数: 1

RFID Based Bus Ticket Generation System 基于RFID的公交车票生成系统

2021 International Conference on Technological Advancements and Innovations (ICTAI) Pub Date : 2021-11-10 DOI: 10.1109/ICTAI53825.2021.9673244

Aman Kaushik, Nitin Jain

引用次数: 3