2021 2nd Global Conference for Advancement in Technology (GCAT)最新文献_第6页

Automated Attendance System, Mask Detection and Social Distancing Violation Tracker for Post Covid Scenarios 新冠疫情后的自动考勤系统、口罩检测和社交距离违规跟踪器

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587806

Jenish Hirpara, Mihir Shah, D. Nanda, Pratik Kanani

{"title":"Automated Attendance System, Mask Detection and Social Distancing Violation Tracker for Post Covid Scenarios","authors":"Jenish Hirpara, Mihir Shah, D. Nanda, Pratik Kanani","doi":"10.1109/GCAT52182.2021.9587806","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587806","url":null,"abstract":"The lockdown imposed in many countries due to the deadly effects of COVID-19 caused a huge backlog in offices. A lot of employees have a shift in their working hours and changes in their schedule which makes the manual attendance system less efficient. Employees are preoccupied with the workload so much that it becomes difficult to maintain social distancing in the office space. During these times, where a safe and healthy work environment should be promoted, a mistake from a single person can do irreparable damage to his/her peers. In order to tackle the above problems, we have implemented an automated attendance system to record attendance via QR Scanner, a violation tracker implemented using Internet of Things and Machine Learning which tracks the total number of social distancing and mask violations, a website and an app to display the results. Our software provides a clean and easy to use user-interface which gives the ability to the user to login, view his work calendar, take a note of important announcements made at his/her workplace, keep a track of user’s attendance, and generate a QR code which is unique just to the user.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130304874","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

Classification and Segmentation of Brain MRI images using Deep Learning 基于深度学习的脑MRI图像分类与分割

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587460

Likitha Sr, N. N

引用次数: 1

Eye Disease Detection Using Machine Learning 使用机器学习进行眼病检测

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587740

Gauri Ramanathan, Diya Chakrabarti, Aarti Patil, Sakshi Rishipathak, S. Kharche

{"title":"Eye Disease Detection Using Machine Learning","authors":"Gauri Ramanathan, Diya Chakrabarti, Aarti Patil, Sakshi Rishipathak, S. Kharche","doi":"10.1109/GCAT52182.2021.9587740","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587740","url":null,"abstract":"The dominant causes of visual impairment worldwide are Cataract, Glaucoma, and retinal diseases among patients. The alarming cases of these diseases call for an urgent intervention by early diagnosis. The proposed system is designed and developed to easily facilitate the detection of cataract, glaucoma and retinal diseases among patients. The Logistic Regression, Random Forest, Gradient Boosting and Support Vector Machine algorithms are used for detection. The proposed system will help people to get the proper treatment of the aforementioned diseases at an early stage thus reducing the percentage of blindness being caused. The proposed system evaluates the effectiveness and safety of cataract surgery in eyes with age-related degeneration along with glaucoma and retinal diseases detection. This paper shows the accuracy of algorithms and SVM classifiers based upon the glaucoma, retina, cataract and normal eye’s fundus images. The idea of classifying the images based on its fundus and extracting features is widely known now-a-days and also it plays a vital role in the final outcome. This paper talks about the multiclass built models of these classifiers and on the basis of the ROC curves plotted it predicts the output of the images. As far as the algorithms are concerned, the efficiency of algorithms helps it stand best out of many and in our case Gradient boosting proves to give best results for the eye with cataract with 90% accuracy. Then the supervised algorithms logistic regression and random forest gives the accuracy of 89% and 86% respectively.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115623934","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

Recognizing Significant Motifs of Corona Virus Spike Proteins using Computational Approaches 利用计算方法识别冠状病毒刺突蛋白的重要基序

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587841

Manjusha Nair, A. R, Arya C. Babu

{"title":"Recognizing Significant Motifs of Corona Virus Spike Proteins using Computational Approaches","authors":"Manjusha Nair, A. R, Arya C. Babu","doi":"10.1109/GCAT52182.2021.9587841","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587841","url":null,"abstract":"The different mutated variants of Corona Virus (SARS-CoV-2), affected a large percentage of the world population so far. On this light, any study on understanding the virus’s immunity to vaccines and medicines has greater relevance. Studies on Angiotensin-converting enzyme 2 (ACE2), the main entry receptor for the SARS-COV-2 S protein is significantly important in understanding SARS-COV-2 infection in host cells. The functional implications of various motifs found in the spike glycoprotein and its conformational changes had been studied previously to better understand the pathogenesis. The computational study, described herein, have focused on the disease transmission mechanisms of the virus especially on the receptor recognition mechanisms during viral infection. This study used different computational techniques to identify significant motif of the SARS-CoV-2 S Glycoprotein. Different corona viral genomes were compared against the reference genome (Wuhan seafood market isolate) and the possible intermediate hosts of the virus has been proposed based on the similarity in the motifs which are critical for viral infections. Previous studies on S protein motifs of proteolytic cleavage site are revisited here using computational techniques to suggest the possible intermediate hosts of infection.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116720829","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

Energy Aware IoT based Green Smart University with Automated Lighting and CCTV System using MQTT and MySQL 基于能源意识物联网的绿色智能大学，采用MQTT和MySQL的自动照明和闭路电视系统

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587709

Priyam A. Sheth, Soumya, A. Lad, Yash Solanki

{"title":"Energy Aware IoT based Green Smart University with Automated Lighting and CCTV System using MQTT and MySQL","authors":"Priyam A. Sheth, Soumya, A. Lad, Yash Solanki","doi":"10.1109/GCAT52182.2021.9587709","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587709","url":null,"abstract":"The world of the Internet of Things (IoT) has exploded and expanded rapidly in recent years. IoT is made up of several connected devices and sensors that communicate by exchanging data through the internet. With exponential growth in the number of installed devices and sensors, conservation of energy is a buzzing topic in the field. IoT facilitates the conservation of energy by enabling the management of data collected from various sensors. The paper presents an implementation of Energy-aware Smart University focusing on Smart Lighting, Air-conditioning, and Ventilating system, whose scope can be expanded to any electrical appliances. This paper attempts to make a low-cost, energy-efficient system. The proposed solution uses Message Queuing Telemetry Transport (MQTT) Client protocol, an IEEE 802.3 standard Ethernet connectivity shield for internet publishing, and a set of sensors such as PIR Sensor and 5 Megapixel infrared camera supported by the raspberry pi for obtaining real-time data. The electrical appliances are turned on only when motion sensors detect movement, and the presence of humans is confirmed using image processing on pictures captured by the Pi Camera. As a result, a significant amount of energy is saved by preventing the continuous operation of the appliances. The data is stored using the MySQL database, which could be accessed using an Android application remotely, which would make this an easily accessible and operational automation system.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117108113","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

Four Axis Welding Robot Control using Fuzzy Logic 基于模糊逻辑的四轴焊接机器人控制

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587770

Midhun Manoj, S. Ananthakrishnan, Palagati Sriharshitha, V. Pandi

引用次数: 0

Stock Market Prediction and Portfolio Optimization 股票市场预测与投资组合优化

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587659

Atharva Gondkar, Jeevan Thukrul, Raghav Bang, S. Rakshe, S. Sarode

引用次数: 3

Accessible Self-Care and Automated Indoor Navigation for COVID-19 Vaccination Centre COVID-19疫苗接种中心的无障碍自我保健和自动室内导航

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587773

Param Batavia, Isha Gajera, Shakshi Gandhi, Prem Mody, Sagar D. Korde

引用次数: 0

Unsupervised and Supervised Learning based Classification Models for Air Pollution Data 基于无监督和监督学习的空气污染数据分类模型

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587793

S. Sunori, P. Negi, P. Juneja, M. Niranjanamurthy, P. G. Om Prakash, Amit Mittal, Dr Sudhanshu Maurya

引用次数: 0

Evaluation of Support to Beneficiaries Under PMAY using Clustering Techniques 基于聚类技术的PMAY受益人支持评价

2021 2nd Global Conference for Advancement in Technology (GCAT) Pub Date : 2021-10-01 DOI: 10.1109/GCAT52182.2021.9587732

D. S. Harsha, S. Praneetha, V. Swetha, P. Dinesh, K. Vani

{"title":"Evaluation of Support to Beneficiaries Under PMAY using Clustering Techniques","authors":"D. S. Harsha, S. Praneetha, V. Swetha, P. Dinesh, K. Vani","doi":"10.1109/GCAT52182.2021.9587732","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587732","url":null,"abstract":"During More than 10.5 million individuals in India live in kutcha houses and are described by helpless everyday environments, the consistent convergence of the rustic populace to urban communities looking for occupations is causing issues on metropolitan lodging. To improve this Government of India has as of late dispatched a moderate lodging plan, Pradhan Mantri Awas Yojana – Housing for All (Urban) Mission” for metropolitan territory is being executed during 2015-2022. This Mission gives focal help to carrying out organizations through States and Union Territories for giving houses to every single qualified family/recipient by 2022. The aim is to analyze the beneficiaries for the EWS provided by the government under this scheme. To review various literatures and understand PMAY, an affordable housing scheme for especially Economically Weaker Section (EWS) beneficiaries in India analyzing how Central Government funds are being utilized and contrast the progress of these beneficiaries to the public. The entire process aims at understanding all these activities by clustering (Machine Learning technique) of housing data using GIS coordinates and mapping these clusters to disclose the stages of houses at corresponding location/area.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125893514","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