2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献

Opposition Based Constriction Factor Particle Swarm Optimization for Economic Load Dispatch 基于对立的收缩因子粒子群优化经济负荷调度

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807910

S. M, C. Babu, A. S

{"title":"Opposition Based Constriction Factor Particle Swarm Optimization for Economic Load Dispatch","authors":"S. M, C. Babu, A. S","doi":"10.1109/ICAECT54875.2022.9807910","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807910","url":null,"abstract":"This paper makes an attempt to incorporate Opposition Based Learning (OBL) technique into the classic Particle Swarm Optimization (PSO) method modified by constriction factor. Aim of the work is to improve the convergence of PSO by avoiding premature convergence at local optima. The proposed OBL will help to improve the exploration as well as exploitation capability of the algorithm with the help of introducing the opposite particles into the search space and hence increasing the search space as well. In order to validate the proposed method, the economic load dispatch problem of electric power system is considered and the proposed method is validated on two test systems; 3 unit and 12 unit generating systems. The validation is done with Inertia Factor based PSO, Constriction factor based PSO and with Opposition based Constriction factor PSO for both 3 unit and 12 unit systems. The results are compared on the basis of fuel cost as well as the convergence rate of the algorithms. The Constriction factor based PSO gives minimum fuel cost and Opposition based Constriction factor PSO improves the result with a better convergence rate.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117137471","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

Descriptive and Predictive Analytics on Electronic Health Records using Machine Learning 使用机器学习的电子健康记录的描述性和预测性分析

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808019

V. Anandi, M. Ramesh

{"title":"Descriptive and Predictive Analytics on Electronic Health Records using Machine Learning","authors":"V. Anandi, M. Ramesh","doi":"10.1109/ICAECT54875.2022.9808019","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808019","url":null,"abstract":"Electronic Health Records are an electronic version of a patient’s health records. Real-time data of a patient’s health history, medications, treatments, diagnosis, immunizations, procedures, laboratory tests and allergies. It is patient-centered data that is made available to authorized users, especially the doctors, and medical professionals, who prescribe different medications based on the ailments. This information is shared between different health care providers to allow access to patients’ medical records to make decisions about patients’ care plans and treatment. Electronic Health Records supports bbuilding an intelligent system that can easily detect the dissimilarities in patient’s medication and can target the provider for relevant educational content. Also helps the health care organizations to get refreshed and updated at minimum risk of the wrong diagnosis during the course of treatment with superior quality of health care services. Real-time data of a patient’s health history and medication processes is used to develop a predictive model. This model provides educational content to healthcare providers, to minimize the risk during the course of treatment, compares the actual practice to clinical guideline, and also increase the quality of health care services.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127218985","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

Morphology based Quality Estimation of Cocoa Beans using Digital Imaging 基于形态学的数字成像可可豆质量评价

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807913

S. Biswas, Amitava Akuli, Samikshan Das, Haruna Musa Balle Baz, Fredrick Yeboah, A. Ghosh

{"title":"Morphology based Quality Estimation of Cocoa Beans using Digital Imaging","authors":"S. Biswas, Amitava Akuli, Samikshan Das, Haruna Musa Balle Baz, Fredrick Yeboah, A. Ghosh","doi":"10.1109/ICAECT54875.2022.9807913","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807913","url":null,"abstract":"The objective of this research is to determine the quality of cocoa beans through morphology of their digital images. Samples of cocoa beans were scattered on a bright white paper under a controlled lighting condition. A compact digital camera was used to capture the images. The images were then processed to extract their morphological parameters. Some of the parameters for extracted features are Area, Perimeter, Major Axis Length, Minor Axis Length, Aspect Ratio, Circularity, Roundness, and Ferret Diameter etc. Then feature optimization is implemented to both reduce the computational cost of modeling and, to improve the performance of the model. The cocoa beans are classified into 4 groups, i.e. Large beans, Medium Beans, Small Beans, and Fragmented or Broken Beans. The model of classification used in this paper is the Hierarchy-based Decision Tree Model, a proposed improvement model for normal Decision Tree in which single class will be determined at single step. Five classification approaches were applied ie LDA, QDA, NaiveBayes, Decision Tree and hierarchy-based Decision Tree and the last one gives the maximum accuracy. The result of our proposed model showed that the proposed classification model with morphological feature parameters can accurately classify 93% of beans into four classes.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127515925","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

SynthPipe : AI based Human in the Loop Video Dubbing Pipeline SynthPipe:基于AI的人在循环视频配音管道

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807853

Anthony John Dsouza, Abigael Rachel Kumar, Akhil Koshy Wilson, Rupali Deshmukh

引用次数: 1

Classification of Fruits using Convolutional Neural Networks 基于卷积神经网络的水果分类

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808070

R. Raut, Anuja R. Jadhav, Chaitrali Sorte, Anagha Chaudhari

引用次数: 1

ECG Based Stress Detection Using Machine Learning 基于ECG的机器学习应力检测

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807877

Manimeghalai P, S. J, Jayalakshmi P.K, Ranjeesh R Chandran, Sreedeep Krishnan, S. Shiny

{"title":"ECG Based Stress Detection Using Machine Learning","authors":"Manimeghalai P, S. J, Jayalakshmi P.K, Ranjeesh R Chandran, Sreedeep Krishnan, S. Shiny","doi":"10.1109/ICAECT54875.2022.9807877","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807877","url":null,"abstract":"Today, the endeavour of accomplishment and performance has increased the efficiency immensely, yet it comes with its own price. There has been a drastic increase in the diseases related to stress, especially in the past couple of decades. The plethora of diseases and disorders related to long-term effects of stress vary from muscle related disorders to nervous system related diseases. Stress can be defined as unrest in the normal homeostasis. Since this state of unrest is usually triggered by the sympathetic nervous system as a physiological response, stress can be captured by physiological signals. Though a variety of approaches such as the use of questionnaires, biochemical measures and physiological techniques are available to diagnose stress; physiological signals are the most reliable method. Therefore, we have analysed stress using Electrocardiogram which is a physiological signal to increase the accuracy rate by using machine learning algorithms. Here we propose a simple algorithm for the classification of ECG signal as stress or normal by the automatic detection of heart rate variability from R peaks through DWT method. Works includes ECG raw data extraction, wavelet de-noising, R peak detection and classification. Machine learning algorithm uses various parameters obtained from classification for finding the accuracy of the results. Short term ECG is needed for stress detection, which produces a reliable classification with high accuracy.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123200856","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: 4

Classification of Product Review Sentiment by NLP and Machine Learning 基于NLP和机器学习的产品评论情绪分类

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808003

Rely Das, Md. Forhad Hossain, Taufiq Ahmed, Ananyna Devanath, S. Akter, A. Sattar

{"title":"Classification of Product Review Sentiment by NLP and Machine Learning","authors":"Rely Das, Md. Forhad Hossain, Taufiq Ahmed, Ananyna Devanath, S. Akter, A. Sattar","doi":"10.1109/ICAECT54875.2022.9808003","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808003","url":null,"abstract":"Online marketing and e-commerce firms were already prospering in Bangladesh during this era of internet technology. Because people are under lockdown due to the COVID-19 epidemic, internet shopping has become the major platform for purchasing because it is the safest option. It sped up the time it took for firms to go online. More online product service providers improve people's lives, but it also raises concerns about product quality and service. As a result, it is simple for new clients to dupe while purchasing online. Our objective is to create a system that uses Natural Language Processing to assess client feedback from online purchasing and deliver a ratio of good and bad comments written in Bangla from past customers (NLP). We gathered approximately 6000 comments and views on the product to conduct the study. As classification approaches, we used sentiment analysis, as well as KNN, Decision Tree, Support Vector Machine (SVM), Random Forest, and Logistic Regression. With an accuracy of 94.78 percent, SVM outperformed all other methods.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673893","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

Component Handing Automated Guided Vehicle–A Cyber Physical System Case Study 组件处理自动引导车辆-一个网络物理系统案例研究

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808022

S. A. Soundattikar, V. Naik, C. Adake

{"title":"Component Handing Automated Guided Vehicle–A Cyber Physical System Case Study","authors":"S. A. Soundattikar, V. Naik, C. Adake","doi":"10.1109/ICAECT54875.2022.9808022","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808022","url":null,"abstract":"Material manoeuvre on shop floors and storages is often wholly neglected chore which accounts for higher overheads to the proprietor. The issues related to material handling can be resolved to greater extent by automation which is an integral component of Industry 4.0. This smart revolution talks about a new segment in the Industrial Revolution which focuses largely on interconnectivity, automation, machine learning, sensors and real time data. The technologies of this innovative revolution ensure time and cost savings owing to faster operations, reduced machine downtime, better productivity and higher quality output. Cyber Physical System (CPS) which is an association of embedded systems interrelating with physical peripherals in real time plays a vital role in Industry 4.0 and one of the applications of CPS can be a customized autonomous component handling system. This paper deals with case study of the development of an automated component handling system, Automated Guided Vehicle (AGV), especially for small to medium scale enterprises (SMEs) with due consideration to CPS layers in an attempt to make it more intelligent. The component handling times for manual and automated methods have been compared to focus on one of the benefits in terms of time saving offered by adopting Industry 4.0 and CPS.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122859901","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

Design and Displacement Sensitivity Analysis of Micro scale Piezoresistive Cantilever 微尺度压阻悬臂梁设计及位移灵敏度分析

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807951

Satyanarayana Talam, Dhruva Kollu, Shaik Haniff, Lokesh Pavan Nallamothu, Shaik Ayesha Begum, R. Busi

引用次数: 0

Analysis And Simulation Of Economic Load Dispatch in Power System 电力系统负荷经济调度分析与仿真

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808026

Sanitha Michail C

{"title":"Analysis And Simulation Of Economic Load Dispatch in Power System","authors":"Sanitha Michail C","doi":"10.1109/ICAECT54875.2022.9808026","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808026","url":null,"abstract":"In an interconnected power system a large number of generating units with different ratings and performance functions are connected together. Total power generation need to meet the load demand satisfying the system constraints. Also it is very important to minimize the cost of generation of power. Some optimization technique needs to be used for the cost minimization. Economic load dispatch (ELD) is one of the optimization technique used to minimize the cost of power generation. ELD can allot the power generation of each generating unit and optimize the cost of power generation satisfying the system constraints of the power system. Several approaches to solve ELD problems include lambda iteration, dynamic programming and linear programming etc. Lambda iteration method is demonstrated in this paper with two different conditions, which are transmission system with and without losses. In this paper four thermal generating units with different performance functions and generator limits are considered for the analysis and simulation is conducted in Mipower software. Lambda iteration is a fast converging method to minimize the cost of generation of power where correct assumption of initial value of lambda helps to converge the results quickly.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114579756","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