2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)最新文献

Evaluation and Comparison of Machine Learning Algorithms for Solar Flare Class Prediction 太阳耀斑分级预测机器学习算法的评价与比较

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9671015

S. Gandhi, Aishawariya Athawale, H. Julasana, S. Purohit

引用次数: 0

Efficient vaccine scheduler based on CPU scheduling algorithms 基于CPU调度算法的高效疫苗调度程序

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670986

Vasu Gondaliya, Shreya Patel, Jaya T. Hemnani, Samir Patel

{"title":"Efficient vaccine scheduler based on CPU scheduling algorithms","authors":"Vasu Gondaliya, Shreya Patel, Jaya T. Hemnani, Samir Patel","doi":"10.1109/aimv53313.2021.9670986","DOIUrl":"https://doi.org/10.1109/aimv53313.2021.9670986","url":null,"abstract":"This paper presents an efficient algorithm for scheduling vaccination process which is based on the CPU scheduling algorithms of an operating system. Based on a custom-designed scoring system of the given schedule, an analysis of why the first-come, first-served basis of scheduling vaccines is inefficient. The ranking system is based on the concept that health care personnel should be given higher priority, followed by front-line workers, major healthcare patients, elderly people, and finally the general public. This is the category in the dataset, the higher the importance of the person who needs to be vaccinated, the better the score. Different CPU scheduling methods are analyzed based on Arrival Time, Turn Around Time, Waiting Time, and Response Time. We obtain the resultant schedule after providing the dataset, the number of vaccines per day, and the selected algorithm for scheduling, and we get a customized schedule based on the data by entering the Aadhar number. The FCFS and Priority algorithms were compared to visualize the differences in efficiency for both algorithms, as well as an analysis of how many vaccines to choose per day and the related length of schedule in days.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122696135","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

LSTM-Based Prediction of COVID-19 Vaccination Drive in India 基于lstm的印度COVID-19疫苗接种预测

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670953

A. Kannan, Atishay Jain, P. Nivas, Ruchi Gajjar, Manish I. Patel

{"title":"LSTM-Based Prediction of COVID-19 Vaccination Drive in India","authors":"A. Kannan, Atishay Jain, P. Nivas, Ruchi Gajjar, Manish I. Patel","doi":"10.1109/aimv53313.2021.9670953","DOIUrl":"https://doi.org/10.1109/aimv53313.2021.9670953","url":null,"abstract":"The vaccination drive for the much dangerous and contagious Coronavirus (COVID-19) has started successfully in India. This paper proposes to predict the vaccination drive of COVID-19 using the time series data for India. The proposed model was used for predicting the number of people to be vaccinated once per day in the country. The proposed model was compared with the direct input-based Long Short Term Memory (LSTM) cell model using various performance parameters and the proposed model was found to perform better. The actual closeness of the model’s prediction from the actual data was depicted through line graphs. The proposed model was further used to predict the short-term and long-term future values. Herd immunity is another key ongoing research area when it comes to COVID-19. The Herd Immunity Threshold (HIT) of COVID-19 has not been found yet. However, this paper has proposed the expected number of days for different population thresholds. The proposed model predicts 174 days for obtaining a population threshold of 50% and 319 days for obtaining a population threshold of 90%.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114159561","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

IoT Based Sorting Machine Using MQTT Protocol and MySQL 基于物联网的排序机，使用MQTT协议和MySQL

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/AIMV53313.2021.9670950

B. S, C. Khusi, Ritu R, Shuvendu Maity, M. M. Kumar

{"title":"IoT Based Sorting Machine Using MQTT Protocol and MySQL","authors":"B. S, C. Khusi, Ritu R, Shuvendu Maity, M. M. Kumar","doi":"10.1109/AIMV53313.2021.9670950","DOIUrl":"https://doi.org/10.1109/AIMV53313.2021.9670950","url":null,"abstract":"The growing demand for faster production while maintaining the quality of the product has given scope for technology to take over the materialistic industry. One such technology used is the internet of things to automate, connect and exchange data with other devices. Our project uses this technology to create an automatic colour sorting machine that not only sorts the objects according to their colour but also stores and exchanges data with devices. The colour sensor is used to detect the colour; servo motors are used in the segregating process. Node Micro Controller Unit (NodeMCU) coordinates the sensor, actuator which also sends the data to the cloud through its inbuilt Wireless Fidelity (Wi-Fi). The user is provided with an interface by which he can easily visualize the data at any time of the day. The sorting machine is made in a way that it sorts items with minimum power and time consumption. The machine has high reliability and compatibility, making it ideal for both small and large scale industries. This method saves time and money in a drastic amount without the need for human intervention.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129758262","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

Behavior-Based Malware Detection System Approach For Mobile Security Using Machine Learning 基于行为的机器学习移动安全恶意软件检测系统方法

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9671009

S. Vanjire, M. Lakshmi

引用次数: 2

Analysis of LoRa framework in IoT Technology 物联网技术中的LoRa框架分析

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670961

Rohini B Khanderay, Onkar S. Kemkar

引用次数: 2

AIMV 2021 Cover Page AIMV 2021封面

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670995

引用次数: 0

Market Basket Analysis using A-Priori Algorithm and FP-Tree Algorithm 基于先验算法和FP-Tree算法的购物篮分析

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670981

Sanket Sandip Khedkar, Sangeeta Kumari

引用次数: 2

Exploring the effect of normalization on medical data classification 探讨归一化对医疗数据分类的影响

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670938

Namrata Singh, Pradeep Singh

{"title":"Exploring the effect of normalization on medical data classification","authors":"Namrata Singh, Pradeep Singh","doi":"10.1109/aimv53313.2021.9670938","DOIUrl":"https://doi.org/10.1109/aimv53313.2021.9670938","url":null,"abstract":"Data normalization as one of the pre-processing strategies is utilized either to transform or scale the data in order to make an equal contribution of each attribute. For a given classification problem, the performance of any machine learning approach depends upon the quality of data in order to produce a generalized classification approach. Various studies have shown the significance of data normalization to enhance the quality of data and finally the performance of machine learning techniques. But there is dearth of investigations about the effect of data normalization methods in classifying the medical datasets. Thus, this study intends to explore the effect of three data normalization techniques namely min-max, z-score and Median and Median Absolute Deviation on the performance of four classification algorithms namely Naïve Bayes, Support Vector Machine - Radial Basis Function, Random Forest and k-Nearest Neighbour. The experiments conducted on 20 publicly available medical datasets are based on the classification accuracy as performance parameter. The best performance results were obtained with z-score normalization method along with Random Forest classifier.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115927142","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 E-commerce Medicine Website Deployed no AWS ith Prescription Verificationw 某电子商务网站未部署AWS并提供处方验证

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV) Pub Date : 2021-09-24 DOI: 10.1109/aimv53313.2021.9670926

Nitish Thorat, Yash Punna, Jay Narayane, Sourav Waje, G. Navale

{"title":"An E-commerce Medicine Website Deployed no AWS ith Prescription Verificationw","authors":"Nitish Thorat, Yash Punna, Jay Narayane, Sourav Waje, G. Navale","doi":"10.1109/aimv53313.2021.9670926","DOIUrl":"https://doi.org/10.1109/aimv53313.2021.9670926","url":null,"abstract":"E-commerce websites have made everyone’s lives simpler in the current date due to the luxury provided by them of getting almost anything delivered at the doorstep at any time required. There are also websites that provide the same advantage to order medicines whenever needed. The drawback of such websites is that the prescription is not verified on those. A prescription is the most important component when it comes to buying prescription based drugs. The proposed work aims to develop an e-commerce website that offers medicines and drugs with the feature of connecting the customers with their doctors using simple web development tools. Also, the doctors will be able to write the prescriptions via this website for their patients. The customers can use this prescription to order medicines for themselves safely or can use the same prescription to order medicines from their local chemist. A prescription parser will be created to check the prescriptions by using the python-docx, docx2pdf module of Python. These prescriptions will be signed and verified using the RSA algorithm. For this, the rsa module of python will be used. The encryption of the prescriptions will be done using the ‘SHA-512’ hash module. This website will be deployed on Amazon Web Services (AWS) due to their low cost in their services, flexibility, security and pay-as-you-go pricing. The services used for the same will be EC2, RDS, S3. Also, a round of Vulnerability Assessment and Penetration Testing (VAPT) will be performed on the website to remove the vulnerabilities and reduce the chances of Ethical Hacking.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130801589","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