2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献

A Study on the Effect of Grid Impedance on the Performance of a Virtual Synchronous Generator 网格阻抗对虚拟同步发电机性能影响的研究

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118350

Amjatha Salim, A. L.

引用次数: 0

Catalytic Activity of Copper Electrodes Coated with Nickel Foam, Iron and Cobalt Oxides and Hydroxides in Highly Alkaline Alcoholic Media 泡沫镍、铁、钴氧化物和氢氧化物包覆铜电极在高碱性酒精介质中的催化活性

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117976

T. K, Korostelyova A, Polyanskova E, T. K

引用次数: 0

Electrical Load Forecasting based on Multiple Regression using Excel Tools 基于Excel工具多元回归的电力负荷预测

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117618

Rashmi Bareth, Matushree Kochar, Anamika Yadav

引用次数: 0

Effect of Simulated Microgravity on the Cultivation of Cherry Tomatoes in Perlite Enriched with Slow-Release Chemical Fertilizers: Automation Engineering Proposal and Methodology 模拟微重力对富缓释化肥珍珠岩中樱桃番茄栽培的影响:自动化工程方案与方法

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117797

R. Barreto, José Cornejo, Diego Orihuela Tacuri, Juan Carlos Suárez-Quispe, Jorge A. Cornejo-Aguilar, Mariela Vargas

{"title":"Effect of Simulated Microgravity on the Cultivation of Cherry Tomatoes in Perlite Enriched with Slow-Release Chemical Fertilizers: Automation Engineering Proposal and Methodology","authors":"R. Barreto, José Cornejo, Diego Orihuela Tacuri, Juan Carlos Suárez-Quispe, Jorge A. Cornejo-Aguilar, Mariela Vargas","doi":"10.1109/ICAECT57570.2023.10117797","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117797","url":null,"abstract":"One of the big tasks for humanity is to expand in the universe. However, many steps are needed before the start, one of these is the autonomy of the Earth. Thus, among the problems to solve this, the development of experiments to make viable crops outside the Earth is one of these. For this reason, in this proposal, the Center for Space Emerging Technologies presents an emerging conceptual design project, which is to study the effect of microgravity on the growth of plants with fruits like Cherry tomatoes during their whole growth cycle from the seed to ripe and analyze the differences between Earth and 3D-clinostat with 3-degrees of freedom simulator conditions. Moreover, some new conditions like a different substrate and guiding the plant growth will be added to simulate inert fertilized soil and reduced free space on the ship or greenhouses of the colonies. This project presents the methodology information to be a guide used for aerospace agricultural engineers and physicists in order to perform a future test with high efficiency, considering many factors such as the constant rotational 3D movement, the biology-physiology of the plant, their struggle to maturate in unnatural conditions, and if they are edibles. In conclusion, if favorable results were achieved; consequently the next step for this project is to improve the autonomy of the clinostat with auto-irrigation and light controls, besides the test with other plants like beans, peas, watermelons in order to improve the source of food for astronauts' nutrition during spaceflight for future missions.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124960076","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

Face Invariant Classification and Detection of Mythology Characters Using Custom Dataset (ClaDeMuC-CD) 基于自定义数据集(ClaDeMuC-CD)的神话字符人脸不变性分类与检测

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118094

Akhilesh Babu Tumati, Rohith Gangaraju, B. S. Ruthvik Mannepalli, S. D, Bksp Kumarraiu Alluri

{"title":"Face Invariant Classification and Detection of Mythology Characters Using Custom Dataset (ClaDeMuC-CD)","authors":"Akhilesh Babu Tumati, Rohith Gangaraju, B. S. Ruthvik Mannepalli, S. D, Bksp Kumarraiu Alluri","doi":"10.1109/ICAECT57570.2023.10118094","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118094","url":null,"abstract":"Innovation and learning are bound together. The digital space has evolved greatly with the innovations and new state-of-art-technologies where all domains adopt this dynamic change to explore and deliver to the people in many ways. A great interest thrived in us to explore the digital evolution in Indian mythologies. The basic notion is to connect the people with the mythological stories and to make it more innovative and creative to create a better and smarter world with manifold technologies available now. To give life to the stories, a few characters exist and people remember them forever a decade. Nowadays, it appears to be a challenging task for the youth to be aware of various mythological stories and the characters involved in those stories. The ignorance level of this kind of story seems to be more and it might not fascinate in the near future. Hence, to educate and create awareness about the mythological characters, the need for a learning model is required. The objective of this work is to deploy various models to do classification and detect Mahabharata characters like Arjun, Bheem, Karan, Krishna, etc. Moreover, experimental analysis has been done on state-of-the-art models like traditional Resnet50 and detection models like yolov5. Performance metrics such as training accuracies, validation accuracies, and then test accuracies are examined.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122532704","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

Comparative study of Deep Learning Models for Covid 19 Diagnosis 深度学习模型在新冠肺炎诊断中的比较研究

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118260

Jagadishwari V, Shobha N

引用次数: 0

A Bengali Word Identification and Verification Using Machine Learning Approach 使用机器学习方法的孟加拉语单词识别与验证

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117745

Shakibul Hasan, Mohammad Abu Nadif, Nasim Bin Rahman, Masud Rana

{"title":"A Bengali Word Identification and Verification Using Machine Learning Approach","authors":"Shakibul Hasan, Mohammad Abu Nadif, Nasim Bin Rahman, Masud Rana","doi":"10.1109/ICAECT57570.2023.10117745","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117745","url":null,"abstract":"The research project is mainly based on image classification. We also showed a path to Optical Character Recognition. Optical Character Recognition (OCR) is basically a technology which can change over a computerized image of content to editable content i.e. it can change digital image to editable text. An OCR by using image processing and classification for Bangla dialect is proposed here. The primary step of this project is that to recognize and detect ‘text’, the usage of image classification and Convolutional Neural Network (CNN) is implemented. Characters are separated from the Corpus and then the most decisive and challenging of the project step is implemented which is the verification of the word or corpus. The Bengali word or corpus is then extracted from the digital image and then it is converted to digital font and then the digital font is compared with our accumulated data set to verify whether the word is absolute or not. To enrich the diversity of Bengali language in the field of technology the project plays a very significant role from its own view.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114271512","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

Machine Learning Based Tesla Stock Analysis: A Theosophical Review 基于机器学习的特斯拉股票分析:神智学评论

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117656

Mamta B. Savadatti, Mahendra S N, R. P, Sachin R, S. S, Shreya C, Chayanath

引用次数: 0

Controller Design for Hybrid AC/DC Microgrid System with Renewable Sources and Motor Loads 具有可再生能源和电机负载的交直流混合微电网系统控制器设计

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117722

S. Sen, S. Rangarajan, C. Shiva, B. Vedik, Ritesh Kumar, S. N

{"title":"Controller Design for Hybrid AC/DC Microgrid System with Renewable Sources and Motor Loads","authors":"S. Sen, S. Rangarajan, C. Shiva, B. Vedik, Ritesh Kumar, S. N","doi":"10.1109/ICAECT57570.2023.10117722","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117722","url":null,"abstract":"The present trends in power system is gradually shifting towards the vision of smart grids. Here, the present distribution system is moving from being passive to active in nature because of increasing penetration of Renewable Energy Sources (RESs). This is resulting into formation of microgrids (MGs) having its own sources and loads. Now, the grid connected and islanded mode are operated in MGs. The working of MGs in presence of motor loads is very crucial control problem due to low inertia in the RESs. This paper introduces the integrated ac/dc MG that are applicable in a real-time controller design, which include renewable energy conservation and motor loads. When the hybrid microgrid is separated from the utility grid, it is works in special mode for acceptance of intermittent generation of the RESs. This calls for storage of the energy to provide good quality power supply to the loads especially the motor loads. It proposes the power flow control of the ac/dc hybrid MG with the help of converters which are of bidirectional nature. An AC/DC dual-powered converter is capable of cutting off active and passive power which are connected to ac to dc bus and it controls the frequency of the MG system and power flow. The output from generator is connected to the solar by the function of maximum power point tacking which is high by using a DC/DC booster converter. The battery banks that are attached to store the energy and increases the stability of the system. Because of low inertial characteristics of power electronic converters, the working of motor load is emphasized. The test results are presented to confirm the proposed AC/DC hybrid MG control scheme.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128762284","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

Brain Cancer Classification using MR Images Based on VGG-19 Feature Extraction and Ensemble Classifier 基于VGG-19特征提取和集成分类器的MR图像脑癌分类

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118206

Chintam Anusha, Rajendra Kumar G, Praveen M. A

{"title":"Brain Cancer Classification using MR Images Based on VGG-19 Feature Extraction and Ensemble Classifier","authors":"Chintam Anusha, Rajendra Kumar G, Praveen M. A","doi":"10.1109/ICAECT57570.2023.10118206","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118206","url":null,"abstract":"One of the most studied disorders in modern medicine is the brain tumor. A correct cancer type diagnosis enables the professionals to select the best course of action and save the patient's life. The significance of an automated tumor classification system incorporating image processing should go without saying. The classification of different forms of brain tumors using magnetic resonance images (MRI) has been improved in this paper utilizing deep learning and a group of machine learning algorithms. The Brain Tumor MRI Dataset can be divided into four groups, which include three types of brain cancer (Glioma, Meningioma, and Pituitary), as well as non-cancerous, or normal type, tumors. o extract detailed information from the MRIpictures, a VGG-19 convolutional neural network is created. Then, to classify among various cancer kinds, these filtered deep characteristics are put into multi-class ML classifiers. The outputs of each ML classifier are thencombined to improve performance using a weighted average ensemble of classifiers. A total of 7022 MRI scansfrom four classes make up the dataset for the system. The accuracy of the Brain Tumor MRI dataset has improved, with a a Meningioma class accuracy of 97.88%, a Pituitary class accuracy of 98.76%, Glioma class accuracy of 99.78%, a normal class accuracy of 99.00% and an overall accuracy of 98.87%.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128363703","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