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Implementation of IOT Based Automatic Disinfectant Robot 基于物联网的自动消毒机器人的实现
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526420
P. Vimala, R. Gokulakrishnan
{"title":"Implementation of IOT Based Automatic Disinfectant Robot","authors":"P. Vimala, R. Gokulakrishnan","doi":"10.1109/ICSCAN53069.2021.9526420","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526420","url":null,"abstract":"It is important to clean crowd gathering areas due to the spread of the covid 19 diseases. Nowadays, disinfecting operations in different locations are performed by humans, which can be harmful to humans. This paper presents an engineering approach to the issue by using an automated disinfecting robot to sanitise crowd gathering areas automatically using chemical disinfectants to control the spread of the covid-19 diseases. In this project, a Wi-Fi module is employed which allows remote communication and good robot service. The robot's entire function can be managed by a smart phone application. For highly effective and precise spraying, this system uses a single spray nozzle with an automatically adjustable sprayer, video, and distance sensors.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132842705","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
Hardware Implementation of Health Monitoring of Domestic Animals Using RFID 基于RFID的家畜健康监测的硬件实现
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526431
S. Muthumanickam, B. Keertana, L. Lavanya, S. Madhumitha, Pgk Sathvikaa
{"title":"Hardware Implementation of Health Monitoring of Domestic Animals Using RFID","authors":"S. Muthumanickam, B. Keertana, L. Lavanya, S. Madhumitha, Pgk Sathvikaa","doi":"10.1109/ICSCAN53069.2021.9526431","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526431","url":null,"abstract":"Temperature is an important indicator of cattle health. Our proposed work deals with automated temperature measurement of cattle with little to almost no human involvement. The user / owner is alerted if an abnormality in the readings is detected. The proposed work also aims to confront the power and cost limitations of the previous automated systems. We overcome the need for power by using RFID technology. We overcome the cost limitations by using a single arduino and single IR temperature sensor instead of using multiple ones for each cattle.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133432860","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
Monitoring and Feedback System in Smart Chair to Prevent Thoracic Kyphosis Disease 预防胸后凸症的智能椅监测与反馈系统
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526342
D. V, Y. I, SENTHIL KUMARAN RAJENDRAN
{"title":"Monitoring and Feedback System in Smart Chair to Prevent Thoracic Kyphosis Disease","authors":"D. V, Y. I, SENTHIL KUMARAN RAJENDRAN","doi":"10.1109/ICSCAN53069.2021.9526342","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526342","url":null,"abstract":"Improper sitting posture for a long time is lead to cause Thoracic Kyphosis disease that requires very long time medical aid, so this work is proposed to control the spinal cord bend which occurs to humans. The main aim is to design the sitting posture monitoring and feedback system in the smart chair. In this work, the smart cushion is a rectangular form cushion; the flex sensor is used to collect a sitting posture data. Experiments demonstrate that it can properly predict the seven different types of human sitting postures. If the pressure reaches the threshold value, the proposed system automatically alerts the user using a vibrating sensor and the bend values will be displayed in OLED. The exclusive PCB board is designed to replace the used microcontroller and Lilypad vibeboard. The proposed system is very low cost and effective to the users. The experiment results show that it can achieve high accuracy 98.47% with low power consumption.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133651190","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
A Study-Level Dual-Axis Active Solar Tracker 研究级双轴主动太阳能跟踪器
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526523
Sheetal Sharma, Yogesh Rohilla
{"title":"A Study-Level Dual-Axis Active Solar Tracker","authors":"Sheetal Sharma, Yogesh Rohilla","doi":"10.1109/ICSCAN53069.2021.9526523","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526523","url":null,"abstract":"The exhaustion of non-renewable energy resources, increased carbon footprints, and global promises lead to renewable energy resources for energy needs. Photovoltaic solar energy is the leading contender with the advantages of easy and abundant availability, simplicity in implementation from small to significant energy demands. The fixed position of solar panels generates low energy in rising and setting hours of Sun. Energy generation from the photovoltaic plant can be increased by tracking the Sun and getting the maximum incident radiation. This paper shows a step by step process of making a study level, active two-degree of freedom solar tacker using low-cost components such as Arduino UNO and LDR (Light Dependent Resistance) sensors. A detailed discussion on components used, control mechanism, simulation, and hardware connections have been provided in this paper. The paper aims to show the method of development of the solar tracker so that anyone can make it by going through the write-up.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132183563","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
Detection of Tumor by Fusing Medical Images using Artificial Neural Network 基于人工神经网络的医学图像融合肿瘤检测
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526521
D. Vasanthi, U. Palani, M. Vishnupriya, K. Saundariya
{"title":"Detection of Tumor by Fusing Medical Images using Artificial Neural Network","authors":"D. Vasanthi, U. Palani, M. Vishnupriya, K. Saundariya","doi":"10.1109/ICSCAN53069.2021.9526521","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526521","url":null,"abstract":"In Medical Image fusion, images from multiple imaging modalities are combined together to render accurate analysis of a given medical phenomenon. It helps in increasing the quality of the image thus reducing redundancy. The fusion of these medical images assists the medics in diagnosing and evaluating the medical hindrance and thereby helps them in providing the necessary treatment. This paper focuses on decomposition and feature extraction of the medical images using Artificial Neural Network (ANN). Artificial Neural Network consists of artificial neurons which are the collection of connected units or nodes. These nodes are used to loosely model the neurons in the biological brain. The proposed algorithm reduces the computational complexity by employing it to achieve image fusion.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134467309","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
Realtime Face Mask Detection using Machine Learning 使用机器学习的实时面罩检测
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526418
Nandhis S, Marrshal Ben Manuel P, Amarthya R, Gokul D, M. Jacob
{"title":"Realtime Face Mask Detection using Machine Learning","authors":"Nandhis S, Marrshal Ben Manuel P, Amarthya R, Gokul D, M. Jacob","doi":"10.1109/ICSCAN53069.2021.9526418","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526418","url":null,"abstract":"The coronavirus COVID-19 causes a global health problem and therefore effective methods of wearing masks in common place according to the WHO. The COVID-19 epidemic forced governments all over the world impose many restrictions. Reports show that wearing mask while working significantly decrease the chance of getting affected. Effective and economical way to use Artificial Intelligence to develop some useful in production settings. The model using the face mask detection machine will be created. The detection database contains a mask and in addition to the facial images, we will use Open Computer Vision to achieve face mask detection in the webcam.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115417929","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: 2
Investigation of a Real Time Safety Monitoring System with Integrated Modelling Techniques 基于集成建模技术的实时安全监控系统研究
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526432
M. R, Muruganandhan. D, S. K, K. A
{"title":"Investigation of a Real Time Safety Monitoring System with Integrated Modelling Techniques","authors":"M. R, Muruganandhan. D, S. K, K. A","doi":"10.1109/ICSCAN53069.2021.9526432","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526432","url":null,"abstract":"This paper concentrates on the safety of underground construction workers. Construction workers include about 5-10% of the total workforce in the industrialized countries. They are exposed to wide variety of health hazards in their job. Hence in this paper, using ultrasonic sensor, gas sensor, Atmega 328P-PU controller, SCADA system we are going to monitor and control the accidents that are frequently taking place at the construction sites. Thus to provide a safe and secure workplace for the construction workers and to reduce the number of accidents taking place daily. This paper demonstrates the worker’s safety using the microcontroller and sensors","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375678","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
Art Classification with Pytorch Using Transfer Learning 基于迁移学习的Pytorch艺术分类
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526457
G. Masilamani, R. Valli
{"title":"Art Classification with Pytorch Using Transfer Learning","authors":"G. Masilamani, R. Valli","doi":"10.1109/ICSCAN53069.2021.9526457","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526457","url":null,"abstract":"Deep Learning has advanced to a greater level in the field of Artificial Intelligence in recent years, and it is currently employed globally. This aids the system in improving its accuracy. Deep Learning algorithms have made image classification considerably more viable, allowing us to analyse large datasets. Deep Convolutional Neural Networks are used in the majority of image classification nowadays. In this paper, Image Classification is performed using the VGG16, ResNet18, ResNet50, GoogleNet, MobileNet, AlexNet in Best Artworks of All Time Dataset which is taken from the Kaggle and the best model for training the dataset is choosen. This Dataset is the collection of the 8355 high resolution portraits which is in form of the RGB Images. After experimentation it is found that, in the Best Artworks of all Time data the ResNet50 achieved better accuracy of 87.15% and loss of 0.0015% among all other trained Deep Networks.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124513364","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: 2
Stock Price Prediction Based on LSTM Deep Learning Model 基于LSTM深度学习模型的股票价格预测
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526491
Kavinnilaa J, Hemalatha E, M. Jacob, D. R
{"title":"Stock Price Prediction Based on LSTM Deep Learning Model","authors":"Kavinnilaa J, Hemalatha E, M. Jacob, D. R","doi":"10.1109/ICSCAN53069.2021.9526491","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526491","url":null,"abstract":"Predicting the stock market is either the easiest or the toughest task in the field of computations. There are many factors related to prediction, physical factors vs. physiological, rational and irrational , capitalist sentiment, market , etc. All these aspects combine to make stock costs volatile and are extremely tough to predict with high accuracy. The prices of a stock market depend very much on demand and supply. High demand stocks will increase in price while heavy selling stocks will decrease. Fluctuations in stock prices affect investor perception and thus there is a need to predict future share prices and to predict stock market prices to make more acquaint and precise investment decisions. We examine data analysis in this domain as a game-changer. This paper proposes that historical value bears the impact of all other market events and can be used to predict future movement. Machine Learning techniques can detect paradigms and insights that can be used to construct surprisingly correct predictions. We propose the LSTM (Long Short Term Memory) model to examine the future price of a stock. This paper is to predict stock market prices to make more acquaint and precise investment decisions.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114941590","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: 14
ANN and AdaBoost Based Effective Face Recognition and Improvement of Classification Training 基于ANN和AdaBoost的有效人脸识别及分类训练改进
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526499
Priyanshu Tamrakar, Hemant Amhia
{"title":"ANN and AdaBoost Based Effective Face Recognition and Improvement of Classification Training","authors":"Priyanshu Tamrakar, Hemant Amhia","doi":"10.1109/ICSCAN53069.2021.9526499","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526499","url":null,"abstract":"In this paper to design a modern technique of face reorganization. Face reorganization is approach to identification of human face by using artificial intelligence. Now proposed algorithm to implementation of MATLAB 2015a software using Image processing toolbox. In this paper enhancement of image quality and reorganization rate using ANN and Adaboost algorithm. This paper result and simulation section mentioned improvement result as compare to previous research articles.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115094461","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: 2
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