2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)最新文献

{"title":"Twitter Sentiment Analysis with Machine Learning","authors":"M. Jagadeesan, T.M.Saravanan, P. Selvaraj, U. Asif Ali, J. Arunsivaraj, S. Balasubramanian","doi":"10.1109/ICACRS55517.2022.10029114","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029114","url":null,"abstract":"Sentiment analysis plays an important role in assessing the human emotions and feelings by using Natural Language Processing (NLP) technique. Researchers have recently developed different models to accurately detect and analyze the human emotions. Sentiment analysis overcomes the Natural Language Processing (NLP) challenge by using Machine Learning (ML) models to perform classification, text mining, text analysis, data analysis, and data visualization to identify positive and negative tweets. Initially, the plain text present in the tweets will be cleaned and pre-processed. The tweets are then analyzed from the pre-processed text. Followed by this, the proposed model extracts the numerical features from the data and combine them with tweet sentiments to train and detect different human sentiments. The main purpose of the proposed model is to find the offensive content in tweets. For the sake of simplicity, the proposed model considers a tweet to be vulgar content if it incorporates offensive or hateful sentiments.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116752519","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}

{"title":"Intelligent Deep Residual Network based Brain Tumor Detection and Classification","authors":"K. Kartheeban, Kapula Kalyani, Sai Krishna Bommavaram, Divya Rohatgi, M. Kathiravan, S. Saravanan","doi":"10.1109/ICACRS55517.2022.10029146","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029146","url":null,"abstract":"Brain tumor has an impact on people in every age group and considerably raise the global mortality rate. A tumor is comprised of tissue from collected abnormal cells. The benign brain tumor is non-destructive and is not cancerous. Several brain MRI scans are widely required for classifier technique of machine learning (ML) for the segmentation of brain tumors. In optimal classification model, the factors that are to be deliberated include computational resources, classification accuracy, and algorithm performance. This study emphasizes the design of Intelligent Deep Residual Network based Brain Tumor Detection and Classification (IDRN-BTCC) approach. The presented IDRN-BTCC method majorly aims to recognize and classify the presence of BT or not in the medical images. To do so, the projected IDRN-BTCC model follows two subprocesses namely feature extraction and classification. Primarily, residual network (ResNet) model is exploited as a feature extractor which helps to generate feature vectors. In addition, multilayer perceptron (MLP) module is exploited to categorize the medical images into distinct classes. The hyperparameter tuning of the ResNet model takes place using chicken swarm optimization (CSO) algorithm. For examining the enhanced performance of the suggested IDRN-BTCC module, an experimental validation process is tested using benchmark data set and the result highlights the enhancements of the IDRN-BTCC approach over recent methodologies.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131768047","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}

{"title":"Digital Data Protection using Barcode & Steganographic Approach","authors":"Ayushi Chaudhary, Ashish Sharma, Neeraj Gupta","doi":"10.1109/ICACRS55517.2022.10029184","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029184","url":null,"abstract":"In order to secure the digital data, various image steganography methods were proposed. This research work investigates and proposes a novel steganographic approach. This research study considers a hard and fast set of standards to investigate and estimate the advantages and disadvantages of the steganographic methods. As a result, a novel steganography style has been proposed. Steganography provides higher protection than cryptography due to the fact that cryptography covers only the contents of the verbal exchange. Steganographic messages are always first restated with the conventional methods, and then the input image will get changed in some way to include the rephrased conversation. Steganalysis is the discovery of steganography based decrypted program. They are LSB-based Steganography, Steganography with closing full-size bits, and Steganography with photo slant dots. The discussion has been figured out using succession and lopsided cryptography.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128307249","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}

{"title":"Design and Implemetation of Combinational Logic Circuits using Open Source Tool","authors":"N. Divya, G. Ilakkiya, M. Dheeraj, R. Hinduja, M. G. Nathan, M. Harish","doi":"10.1109/ICACRS55517.2022.10029180","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029180","url":null,"abstract":"Digital Systems plays an important role in today’s modern technology. The practical implementation of digital circuits in laboratories leads to a complex wired circuits and testing finds difficult. The damage of ICs, breadboards due to complexity needs replacement. This paper disseminates the virtual use of all the components using an open source tool. Digital circuits are of combinational logic circuits and sequential circuits. Implementation of combinational circuits using logic gates in virtual mode is described. Autodesk Tinkercad is an open-source software tool for the development of system. The design of combinational circuits such as Adder, Subtractor, Encoder, Decoder, Code converters are implemented with ICs using Tinkercad tool.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134213049","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}

{"title":"Indigenous Robot for Advanced Driver Assistance System","authors":"T. T. Tharshini, E. Jeevitha, S. R. Subhiksha, H. J. Dharshini, P. Manoharan","doi":"10.1109/ICACRS55517.2022.10029160","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029160","url":null,"abstract":"This research work aims to reduce the number of road accidents and their serious impacts such as death and injuries by designing an automated driver assistance system (ADAS) using sensors and a microcontroller. The robot is incorporated with a Raspberry Pi Pico microcontroller that leads the motor direction based on the sensor inputs. The Ultrasonic sensor HC-SR04 detects the presence of objects within 20cm and sends the signal to Pico. The IR sensor fitted near the Ultrasonic sensor checks for black lane in front. The IR sensors on the side check for parallel black lanes. L298N Motor Driver controls the motor speed and is powered by a 12V supply. The Raspberry Pi is programmed to follow only the black lane and switch lanes when an obstacle is detected. Pico is programmed using the Thonny IDE.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"57 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134225680","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}

{"title":"Interactive Performance Indicator Dashboard for Modern Enterprise","authors":"V. L, Manikanta K, Grace Anzel G, Sasi Kiran V, Srithar S, Aravinth S S","doi":"10.1109/ICACRS55517.2022.10029126","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029126","url":null,"abstract":"Dashboards help stakeholders to improvise the level of decision-making by visualizing the things which need to be monitored on a daily/weekly/bi-weekly/monthly basis. With the ease in the understanding of dashboards, the use and demand for these increased a lot nowadays. The dashboard system also helps to provide solutions for many different problems in the current industry. Another problem with these dashboards is many open open-source applications help users to get their visualization done within no time. It is better to have an individual application for each company to have their visualization done for the things they need to compare. In this paper, the implementation and a comprehensive literature review intending to have a Common System for all stakeholders which will help them to refer to the Defects status at any point in time without any dependency on SQA emails. The main aim is to refer to the status of defects at any point in time without depending on any other SQA emails or something. To achieve that, the data to be available in the database at any point in time so that the status whenever it needs to be checked. The data which is available in the database is under one hierarchy to be followed. That hierarchy helps us to get the defects by getting the values in days and the total time taken. Different columns were needed to get a Dashboard. For our project group name, team name, project name, and part name are required to get the values in the days, the number of defects, and the total time taken. The Dashboard which will be getting from the given data helps stakeholders to have a complete picture of the project details. In this regard, a project which helps stakeholders to refer for the status of defects.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133570335","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}

{"title":"SADGF: Surveillance based Anxiety Detection using Gender-based Facial Emotion Recognition","authors":"Beulah Divya Kannan, Nithyakamal Ilamurugu","doi":"10.1109/ICACRS55517.2022.10029253","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029253","url":null,"abstract":"Care for elders and children is vital and important in the present era. With the advancement in Vision applications, it’s become feasible to build models for detecting anxiety. Existing methodologies like smart home devices that measure the heart rate, blood pressure etc., are not sufficient information that gives family members, doctors, caretakers the accurate feedback on mental health. The objective of this work is to develop an effective classification framework that recognizes the facial emotion of the concerned person using video surveillance data. The proposed framework performs Facial Recognition, Emotion Detection and Gender Detection using CNN model.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132382994","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}

{"title":"An Extensive Study on HAR Systems to Recognize Daily Activities using Deep Learning Approaches","authors":"Gayathri Tippani, Veerraju Gampala","doi":"10.1109/ICACRS55517.2022.10029206","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029206","url":null,"abstract":"\"Human Activity Recognition\" (HAR) refers to the ability to recognise human physical movements using wearable devices or IoT sensors. In this epidemic, the majority of patients, particularly the elderly and those who are extremely ill, are placed in isolation units. Because of the quick development of COVID, it's tough for caregivers or others to keep an eye on them when they're in the same room. People are fitted with wearable gadgets to monitor them and take required precautions, and IoT-based video capturing equipment is installed in the isolation ward. The existing systems are designed to record and categorise six common actions, including walking, jogging, going upstairs, downstairs, sitting, and standing, using multi-class classification algorithms. This paper discussed the advantages and limitations associated with developing the model using deep learning approaches on the live streaming data through sensors using different publicly available datasets.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"87 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123637507","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}

{"title":"Optimal Allocation of Distributed Generation Using Modified Grey Wolf Optimizer","authors":"Ibrahim Alkhaleel Altayara, E. Al-Ammar, Ghazi A. Ghazi, Ahmed A. Al katheri","doi":"10.1109/ICACRS55517.2022.10029048","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029048","url":null,"abstract":"In this paper a case study is performed to optimally allocate real power injections at unity power factor as DG on the IEEE 33 bus radial distribution system using a modified Grey Wolf Optimization method. The study is performed in MATLAB. The main objective of this study is to explore the effectiveness of using the modified algorithm in improving the system voltage profile and in reducing the total system line losses. The objective function is modeled as the total system line losses which shall be subject to equality constraints in power-flow and inequality constraints in voltage level. The obtained results are then compared to the outputs from using other optimization techniques including the classical grey wolf optimizer method as well as other metaheuristic methods such as Particle Swarm Optimization, and Bat algorithms. Furthermore, two runs are performed for each of the modified algorithm as well as the classical algorithm to investigate the effect of tightening the voltage constraint has on the algorithms' performances.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881827","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}

{"title":"Enhancement of Yarn Quality by Controlling the Humidity and Temperature","authors":"B. N, Monesh.M. S, P. C, V. S","doi":"10.1109/ICACRS55517.2022.10029286","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029286","url":null,"abstract":"The moisture content in the yarn is important while spinning it into a bundle. It drastically increases the weight of the yarn bundle which in turn increases the price of the bundle. To reduce the moisture content in the yarn after processing like coloring it, it should be set up in an accurate condition, so that the relative humidity and the temperature of the yarn should be maintained at the appropriate levels. Also, the environmental conditions may increase the relative humidity of the yarn. The properties, like tensile strength, elasticity, rigidity, etc., will also be highly affected by the moisture gained. The yarn cannot attain the state of a moisture-free bundle without any external maintenance. It includes maintaining the processed yarn in a dry environment for a period of time which is not possible at a high rate of manufacturing. So, the moisture content in the yarn should be dried as quickly as possible after processing. For that, a prototype can be developed from which a closed environment is created where the yarn passes through a closed environment consisting of a series of DHT11 sensors to monitor the relative humidity in the yarn. The output of the DHT11 sensors is passed through the controller to control the air dryer to make the yarn free from moisture. In this research work, the humidity sensor DHT-11 was used to detect the level of humidity and temperature variation in the yarn. The data from the DHT-11 sensor, which is 40-bit data, will be directed to the controller, which will control the air dryer according to the range given by the company. Variations in relative humidity and thread temperature can be effectively monitored and maintained by switching the air dryer on and off based on the data provided by the controller. Different yarn materials require different relative humidity conditions for a perfect output based on their moisture gain values. So, the company has given a range of relative humidity for the different yarn materials that are used to control the air dryer. Hence, the moisture content of the yarn is controlled for better quality.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124048691","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}