A. Siva, K. Jayashree, S. Pavithra, R. Preethi, A. Swetha, U. Ramani
{"title":"Remote Monitoring of Energy Meter using Cloud Storage","authors":"A. Siva, K. Jayashree, S. Pavithra, R. Preethi, A. Swetha, U. Ramani","doi":"10.1109/ICESC57686.2023.10193207","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193207","url":null,"abstract":"Remote Monitoring of Energy Meter using Cloud storage is a project on enabling the measured energy which is consumed to be accessed by Android app in Mobile or in webpage through Data Excel Sheet. This is achieved by using Server Mediator (ESP8266), which stores the data in cloud storage. This study used Google cloud storage. Further, the current sensor and voltage transformer are used to calculate load current and supply voltage. These two parameters are given as input to Arduino to calculate the power consumed and also it will calculate the amount to be paid. These calculations are done by source code in C language that is programmed in Arduino. These calculated data will be send to LCD (Liquid Crystal Display) to get displayed and also stored in cloud. This avoids the direct reading of energy meters and also the consumer can know current energy consumed wherever they are in the world. And also they can Turn On/Off by Android app itself when unwanted power flow happens when no one is there at Home. Through this the consumer can save energy which leads to energy management.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115237601","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}
Venkata Subba Reddy Bakka, Sai Sri Nidhin Tankala, Aarthi Bodumallu Gardannagari, Chandana Reddy Bakka, N. Sangeetha
{"title":"RFID based Smart Public Transit System","authors":"Venkata Subba Reddy Bakka, Sai Sri Nidhin Tankala, Aarthi Bodumallu Gardannagari, Chandana Reddy Bakka, N. Sangeetha","doi":"10.1109/ICESC57686.2023.10193053","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193053","url":null,"abstract":"Public bus transportation is the the most commonly used transportation system in any nation. More over, there is no reliable monitoring system in the existence. Users are facing many problems like long wait for the bus, ticket collection, seat availability etc. To avoid these kind of complications our research proposes an effective solution though the concept of RFID based smart public transit system The primary goal of this work is to provide an easy transportation facility by reducing the difficulties faced by the users, drivers and concerned officials. RFID based Smart Transportation Systems (STS) is the most efficient way to relieve traffic congestion, reduce accidents, and improve the transportation system as a whole on cloud. Here, Advanced technologies such as electronics, communication, computer, control and sensing are applied to various transportation systems to improve traffic conditions such as safety, efficiency and maintenance through real time information.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115974547","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":"Method for Decision Making in Municipal Management by Means of Scorecard","authors":"Gerardo Cortijo-Ramirez, W. Auccahuasi","doi":"10.1109/ICESC57686.2023.10193627","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193627","url":null,"abstract":"In Peru, management activity can be clearly differentiated into two dimensions, public and private, especially defined by the way financial, human, infrastructure, etc. resources are managed. Each of these dimensions pursues in some way the effectiveness and efficiency in the institutional management of these resources, through techniques, procedures, policies, development of strategic plans, which support the achievement of the objectives. A clear difference is that the private company, through the management of its resources, seeks to obtain profits for the benefit of the members involved in such management, while public management seeks, through the management of the resources of the state itself, the public good, offering services to citizens to improve their quality of life, economic and social development that supports individual development and that of the city. In this paper we propose a method to evaluate municipal management programs, through the implementation of scorecards, the results show that the efficiency in decision making has been improved by using these computer tools for the benefit of public management.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114348076","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":"Sentimental Analysis on IMDb Movies Review using BERT","authors":"Kavita Arora, Neha Gupta, Sonal Pathak","doi":"10.1109/ICESC57686.2023.10193688","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193688","url":null,"abstract":"The sentiment analysis is a system that is used to perform automated analysis processes on various services and product reviews. The Internet Movie Database (IMDb), which is categorized using Bidirectional Encoder Transformers (BERT), is included in this scheme. However, the sentiment analysis system is segregated into three stages: pre-processing, feature extraction, and sentiment classification. To extract features, Word Embedding using Word to Vector (Word2Vec) is employed. The data is then classified using a BERT-based test confusion matrix with settings for accuracy, recall, precision, and F1-Score. The test results showed that, the proposed scheme attain precision of 96.10%, recall of 88.40% and F1-Score of 92.10% for the negative class. Subsequently, precision of 89.20%, recall of 96.40% and F1-Score of 92.60% for the positive class using confusion matrix. Also overall 92.40% of accuracy is achieved to depict that the proposed scheme is an effective and reliable technique to detect sentiments for movie reviews.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614502","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 of a Solar Fed Phase Shift Full Bridge Converter for Microgrid","authors":"Harshini Panda, S. P. Kumar","doi":"10.1109/ICESC57686.2023.10193430","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193430","url":null,"abstract":"The work suggests utilising the different optimization techniques to design a solar power fed Phase Shift Full Bridge (PSFB) DC-DC converter to feed a 48 Volt DC microgrid which can be used to satisfy the voltage levels of household appliances. Microgrid is a compact network of electricity consumers with a nearby power source that is typically connected to a centralised grid but has the capacity to operate on its own. These Solar-powered fed PSFBs can also be used to charge these batteries. Solar energy is employed as the converter’s input source since it is abundant and simple to install, making it a viable renewable energy source. A MPPT approach is used to get the most power out of PV panels. The duty cycle of the switching signals produced by the MPPT control algorithm are sent to the converter. Salp Swarm Algorithm (SSA) and Emperor Penguin Optimization (EPO) serves as the control algorithm in this situation. They are metaheuristic algorithm that makes sure the PV panel functions at the best voltage and current in order to harvest the most electricity under all climatic situations. The remainder of the solar energy is used to charge the battery when the converter reaches the desired power. By Using Matlab 2015a/Simulink, the overall system efficiency is calculated based on the metaheuristic approach utilised for MPPT tracking. This article suggests a solar-powered fed PSFB that is SSA and EPO based, which works well as an approach for feeding the energy source to the microgrid and battery.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114750478","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}
S. Sanjeev Kumar, A.S Shree Arryaman, R. Suganthprabhu, D. Pritima, P. Arun Kumar
{"title":"Design and Fabrication of Adhesive Application System for Magnets in Motors","authors":"S. Sanjeev Kumar, A.S Shree Arryaman, R. Suganthprabhu, D. Pritima, P. Arun Kumar","doi":"10.1109/ICESC57686.2023.10193106","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193106","url":null,"abstract":"Electric Motors requires Permanent Magnets in them to function. The following paper explains the design, construction and critical analysis of an Adhesive applicant machine for magnets in rotor casings [1] [2]. Through the integration of both human and mechanical systems, this innovation addresses the problem of work efficacy in an industry. We used a scientific research model to analyze and answer the question. The industry we chose for our model is on a small scale and is very simple to work with and analyze for its full potential. Our main objective is to construct a cartridge-based method to load the workpiece into the machinery and to create the ideal end-effector system for Glue delivery on the specified path [3]. Compared to electromagnets, permanent magnets on a rotor can both simplify the design and improve the efficiency of electric machines. The absence of automated assembly techniques for large machinery is a limitation, too. The strategy for resolving this issue is building a cohesion environment where people and machines work as a unified unit capable of producing more products.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380428","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}
P. Sridhar, C. Srinivasan, G. Poongundran, K. Praveen, R. Nishanth
{"title":"Smart Mirror Monitoring using Raspberry Pi","authors":"P. Sridhar, C. Srinivasan, G. Poongundran, K. Praveen, R. Nishanth","doi":"10.1109/ICESC57686.2023.10192935","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10192935","url":null,"abstract":"Numerous smart devices that improve our daily lives have been developed as a result of the quick development of technology. One such innovation is the smart mirror, which blends digital capabilities with the functioning of a conventional mirror. The smart mirror monitoring system suggests in this project makes use of a Raspberry Pi, allowing for real-time monitoring and interaction with various data and apps. This project’s main goal is to create and put into use a smart mirror that can show a variety of data, including the time, weather updates, calendar events, news feeds, and social network notifications. A Raspberry Pi, a two-way mirror, a display screen, and different temperature sensors are the hardware necessities for this project. The central processing unit, or Raspberry Pi, is in charge of collecting data from sensors, locating pertinent information on the internet, and displaying it on the surface of the mirror. Python will be used to create the smart mirror software system, together with libraries for image processing and data visualization like Open-CV and API for obtaining outside data. Graphical user interface (GUI) frameworks will be used to develop the mirror’s user interface in order to make it simple and easy to use.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116967410","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}
V. Baskar, M. Vadivel, G. Sivakumar, C. Selvi, S. Vimal
{"title":"FPGA Implementation of Novel Lossless ECG Compression Algorithm for Low Power Devices","authors":"V. Baskar, M. Vadivel, G. Sivakumar, C. Selvi, S. Vimal","doi":"10.1109/ICESC57686.2023.10193368","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193368","url":null,"abstract":"A method for the lossless reduction of interface electrocardiograms (ECG) has been devised for the massive implementation of integrated circuits. The Novel approach to prediction and focuses on achieving high performance while maintaining a minimal level of complexity. This resulted in circumstances that made accurate forecasting possible through a method that solved the optimal conditions. This system provides a Very Large Scale Integration (VLSI) system that uses an effective lossless data compression technique to reduce the loss transmission rate and reduce memory size while encoding ECG data. Technology is defined as being lossless. This ability has been taken advantage of by creating a memory-less architecture that operates at a high clock rate in VLSI. The proposed compression technique aims to increase high accuracy, reduce power consumption, and reduce transfer time. Effective conditional prediction model and adaptation information for the Modified Golomb Rice Framework (MGRF) are the proposed ECG lossless compression. The proposed lossless compression has been implemented in Xilinx ISE 13.1 and Spartan 7 FPGA devices using Verilog RTL code, and it achieves the highest possible level of performance, reduces the gate size, and low power consumption.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300185","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}
S. Shanmugapriya, P. Nagaraj, K. Ajay Kumar Reddy, S. Akshay, G. Bhanuprakash, C. Venkat
{"title":"Classification of Brain States using CNN under EEG Anesthesia","authors":"S. Shanmugapriya, P. Nagaraj, K. Ajay Kumar Reddy, S. Akshay, G. Bhanuprakash, C. Venkat","doi":"10.1109/ICESC57686.2023.10192939","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10192939","url":null,"abstract":"The idea of classifying the brain states in anesthesia is to cover the position of unconsciousness and sedation in cases witnessing medical procedures. Anesthesia is used to produce a temporary loss of sensation and knowledge, which is necessary for certain medical procedures similar to surgeries. By covering the Brain countries during anesthesia, an anesthesiologist can ensure that the case is entering the applicable position of anesthesia to maintain unconsciousness. There are colorful ways for covering the brain countries during anesthesia, including Electroencephalography (EEG) and Bispectral indicator (BIS) monitoring. We’re going to classify the brain countries during anesthesia by using the convolutional neural network which is the stylish model to check whether the case is entering the applicable position of anesthesia to maintain unconsciousness. We’ll classify the brain’s countries grounded on the EEG signals dataset. This research presents Anes-MetaNet, a new classification framework based on meta-literacy for classifying brain regions undergoing anesthesia. Anes MetaNet is a time series model grounded on a convolutional neural network (CNN) for rooting power spectral features and the use of an LSTM (long short-term memory) network to record time dependencies and recycle them at scale. It consists of a meta-learning frame for Between-subject variability signal was recorded during nanny-family commerce with a slow case. situations of knowledge were classified using his proposed CNN model. To our knowledge, no former studies are using CNN for EEG-grounded knowledge position brackets using the proposed recording process.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123596798","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}
Ravikumar Gurusamy, V. Rajmohan, N. Sengottaiyan, P. Kalyanasundaram, S. Ramesh
{"title":"Comparative Analysis on Medical Image Prediction of Breast Cancer Disease using Various Machine Learning Algorithms","authors":"Ravikumar Gurusamy, V. Rajmohan, N. Sengottaiyan, P. Kalyanasundaram, S. Ramesh","doi":"10.1109/ICESC57686.2023.10193635","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193635","url":null,"abstract":"Breast Cancer disease is the utmost characterized heterogeneous illnesses consisting of various types. Apart from lung cancer, Breast cancer is spreading widely everywhere. This research work confines to accurately analyzing the benign cells and the defective malignant cells by data mining technique like Support Vector Machine (SVM). To have the comparative study, a total number of 659 sample are drawn from the UCI Machine learning laboratory. The G power calculation with a confidence interval of 0.8 using maximum level of acceptable error rate of 0.5 is used for this analysis. Support Vector Machine offer better prediction in terms of F1 score, precision and recall as 100%, 92%, 97% for benign cells 94%, 100%, 97% for malignant cells respectively. The significance value is arrived as 0.36 for this proposed system. The SVM appears to have better results in finding the benign and malignant cells diagnosis using Wisconsin Dataset.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801456","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}