2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)最新文献_第2页

Convolutional Neural Networks (CNN) and Facial Features based Smart Driver Alertness Detection 卷积神经网络(CNN)和基于面部特征的智能驾驶员警觉性检测

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125701

K.V Pavan Kumar, M. Chidanand, S. Shabu, L. Grace, D. Poornima

引用次数: 0

Arduino UNO based Automated Folding System for Textiles 基于Arduino UNO的纺织品自动折叠系统

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126033

Mouleeshuwarapprabu R, K. T, Kousika B, Hariprasath A, Giritaran S

{"title":"Arduino UNO based Automated Folding System for Textiles","authors":"Mouleeshuwarapprabu R, K. T, Kousika B, Hariprasath A, Giritaran S","doi":"10.1109/ICOEI56765.2023.10126033","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10126033","url":null,"abstract":"The purpose of this research is to implement an automate shirt folding model that is more convenient and efficient. The proposed machine automatically folds the shirts without human assistance using embedded systems. Wood sheets, a plastic holding board, gear motors, Arduino-UNO, a relay, a power supply, and a mechanical set-up were utilized to construct this model. The methods utilized to create the machine include relay actuation, time delay, speed regulation, and Arduino programming. The overall strategy was to create a machine that folds shirts by moving a piece of the holding board with gear motors. An idea for a machine that can fold garments was provided here. Shirt was picked as a test focus among several categories of clothing. The process flow of laundry typically includes washing, drying, and folding. This concept was put forth as a tool to help individuals fold more quickly and move on to the next chorus. This equipment was designed to help those workingin environments where there were plenty of shirts involved, such as laundromats, hotels, hospitals, and many other locations.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129833070","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

Selection of DC-DC Converters for PV-Battery based Hybrid Systems 基于pv -电池的混合系统中DC-DC转换器的选择

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125982

S. Radhika, C. K. Kumar

引用次数: 0

Drone Detection and Classification using Computer Vision 基于计算机视觉的无人机检测与分类

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125737

Ruchita Valaboju, Vaishnavi, C. Harshitha, Alekhya Kallam, B. Babu

{"title":"Drone Detection and Classification using Computer Vision","authors":"Ruchita Valaboju, Vaishnavi, C. Harshitha, Alekhya Kallam, B. Babu","doi":"10.1109/ICOEI56765.2023.10125737","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125737","url":null,"abstract":"Drones, also known as Unmanned Aerial Vehicles (UAVs) are based on the principle of rotor torque pushing the air down which results in the upward lift of the drone. UAVs are used in tasks such as rescue operations and item delivery in remote areas, surveillance, agriculture, wildlife conservation, outer space and photography. Due to their low cost and high efficiency, it is used by diverse groups for both better and worse causes. The cases of malicious uses of military drones and spy drones employed are on a rise. The malicious activities deployed by the military drones may include air strikes at enemy military bases, army troops and in some cases end up causing the death of civilians in proximity. Drones that are used for espionage can retrieve valuable information regarding the different strategies of the military, can track the location of the army personnel and spy upon unsuspecting civilians. These drones are eliminated after being detected by the persons involved but sometimes in order to reduce risks, harmless delivery drones are also discarded. In order to aid against the malicious drone activity while making sure that unnecessary panic over the delivery drones and material-loss is not caused, a real-time computer vision system is proposed that can identify the drone in the given region of interest, give its relative location and classify the drone. The Convolutional Neural Network (CNN) architecture, You Only Look Once Algorithm (YOLOV5), is used to classify the drone into one of the categories: Army, Surveillance and Delivery drones.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129239542","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

Rose Plant Disease Detection using Deep Learning 玫瑰植物病害的深度学习检测

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126031

Md. Ali- Al - Alvy, Golam Kibria Khan, M. J. Alam, Saiful Islam, Mokhlesur M. Rahman, Mirza Shahriyar Rahman

{"title":"Rose Plant Disease Detection using Deep Learning","authors":"Md. Ali- Al - Alvy, Golam Kibria Khan, M. J. Alam, Saiful Islam, Mokhlesur M. Rahman, Mirza Shahriyar Rahman","doi":"10.1109/ICOEI56765.2023.10126031","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10126031","url":null,"abstract":"The detection and identification of rose plant disease is the focus of this investigation. Identification and detection are essential components of contemporary agro technology. In this case, AI technology was utilized to identify a disease in rose plants, although plant disease detection is difficult for sustainable agriculture. There are several instances of rose plant disease, and as a result, fascinating decoration is being lost. Due to this situation, which is getting worse every day in Bangladesh, the economy of agricultural sector is suffering. Bangladesh's population relies heavily on agriculture industry for their revenue. This study includes some disease detection of rose plants, albeit not all plants are affected equally by the illness. The plant leaf provides the plant with vital sustenance. When a leaf is ill, the plant is at its most vulnerable. Due to the accessibility of the sick leaf, disease identification is difficult. Agriculture field must be properly assessed to see significant improvements in proposed work. The best resource for creating this kind of disease detection model is deep learning technology. Image pre-processing and model analysis are steps in the disease detection construction process. Few CNN architectures are used in this study, including ResNet50, VGG-16 (Visual Geometry Group), MobileNetV2, and Inception V3. Four diseases have been identified in rose plant leaves. Here, image processing is investigated using a discovered approach and obtain a MobileNetV2 model accuracy of 96.11%.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123469824","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

RSA Cryptography and GZIP Steganography Techniques for Information Hiding and Security using Java RSA密码和GZIP隐写技术的信息隐藏和安全使用Java

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125906

P. Gurunathan, R. S. Devi

引用次数: 0

Sign Language Translation in WebRTC Application 手语翻译在WebRTC应用

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125915

Gangadhar Chakali, Ch. Govardhan Reddy, B. Bharathi

{"title":"Sign Language Translation in WebRTC Application","authors":"Gangadhar Chakali, Ch. Govardhan Reddy, B. Bharathi","doi":"10.1109/ICOEI56765.2023.10125915","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125915","url":null,"abstract":"Communication has been an essential part of human life. Different languages are present around the world for communication. Still, people who have lost their hearing and speaking ability by accidents and genetic birth often face difficulty in communication. Auditory-impaired people have found sign language helpful in communicating with others. Hearing-impaired people must always have a personal interpreter available for translations whenever they need to communicate. People with disability of hearing impairment find it challenging to interact with others on social media and the internet to form new relationships on their own. An open-source video-conferencing application that can translate sign language is quite helpful for the hearing impaired. Sign language recognition (SLR) has drawn a lot of attention as a way to close the enormous communication gap. However, sign language is far more complex and unpredictable when compared to other activities, making it challenging for reliable recognition. The Speech-to-Text API enables speech-impaired people who can read to comprehend others. The Sign Language Translation Application (SLTA) allows them to communicate by translating their sign language into text that others can understand. The proposed method uses python, the MediaPipe Framework for gesture data extraction, and the Deep Gesture Recognition (DGR) Model to identify the sign motion in real-time. The proposed method achieves the highest accuracy of 98.81% using a neural network comprised of Long-Short Term Memory units for sequence identification.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513560","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

Interpretable Machine Learning for Predicting Customer Churn in Retail Banking 预测零售银行客户流失的可解释机器学习

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125859

Sudi Murindanyi, Ben Wycliff Mugalu, J. Nakatumba-Nabende, Ggaliwango Marvin

{"title":"Interpretable Machine Learning for Predicting Customer Churn in Retail Banking","authors":"Sudi Murindanyi, Ben Wycliff Mugalu, J. Nakatumba-Nabende, Ggaliwango Marvin","doi":"10.1109/ICOEI56765.2023.10125859","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125859","url":null,"abstract":"Customer churn is one of the biggest problems any brokerage institution has. This is evidenced by the rapid establishment of intelligent systems to predict customer churn, retain current clients, and win new ones in various domains. Unfortunately, there is an extreme scarcity of real-world datasets for training and establishing retail banking intelligent systems. Moreover, the Machine Learning (ML) models supporting such existing systems are all black box. The trends in electronics and informatics like Explainable Artificial Intelligence (XAI) have however provided a better approach to ML model accountability. This study leverages an Interpretable Machine Learning model to transparently predict the likelihood and cause of customer churn in retail banking. A real-world database (Berka) from a Czech bank was used for feature extraction using deep clustering. A dataset of features from the Berka database and a dataset from Kaggle were used to aid customer attrition prediction. Synthetic Minority Over Sampling Techniques (SMOTE) were then used to handle dataset imbalance before training, validating and testing with four tree-based and four standard machine learning approaches. The outstanding performance was achieved with random forest, a tree-based algorithm, on both datasets, with 99% accuracy, 98.5% recall, and 98.5% fl-score on the Berka dataset. It also scored 85 % accuracy, 77.5 % recall, and 77 % fl-score on the Kaggle dataset. Finally, Model-Agnostic Explanations (LIME) and SHapley Additive explanations (SHAP) are used for ML model accountability. This work can be reliably used to establish trustworthy intelligent systems in the financial sector and related domains.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121474306","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

ChatGPT: Opportunities, Features and Future Prospects ChatGPT:机遇、特点和未来前景

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125747

R. Santhosh, M. Abinaya, V. Anusuya, D. Gowthami

{"title":"ChatGPT: Opportunities, Features and Future Prospects","authors":"R. Santhosh, M. Abinaya, V. Anusuya, D. Gowthami","doi":"10.1109/ICOEI56765.2023.10125747","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125747","url":null,"abstract":"ChatGPT is an AI-based Natural Language Generation (NLG) system developed by Microsoft that enables users to converse with virtual agents in a conversational manner. ChatGPT is based on the transformer-based architecture, a type of deep learning algorithm that can be used to generate text directly from raw inputs. ChatGPT is designed to enable natural conversations, with the goal of making it easier for people to interact with virtual agents in a conversational manner. ChatGPT has the potential to revolutionize the way people interact with virtual agents, as it can be used to generate natural language responses to userinput. The system could also be used to create virtual agents that can respond to user queries in a more natural manner, allowing for more efficient customer service interactions. In the future, ChatGPT could be used to create more sophisticated virtual agents that can understand user intent and provide more accurate responses. Additionally, ChatGPT could be used to generate more engaging content for virtual agents, such as stories, jokes, and conversations. This paper provides the power of ChatGPT with its various features, opportunities and impact of ChatGPT in various sectors.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121479963","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

Automation of Cotton Feeder in Delinter Machine and Optimisation of Power for Enhancing Lint Turnout 脱棉机给棉机自动化及提高棉道岔的动力优化

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126057

Mrunalini T, R. P, Sedhuraman V, Pavithra M, Sudharsanan V

{"title":"Automation of Cotton Feeder in Delinter Machine and Optimisation of Power for Enhancing Lint Turnout","authors":"Mrunalini T, R. P, Sedhuraman V, Pavithra M, Sudharsanan V","doi":"10.1109/ICOEI56765.2023.10126057","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10126057","url":null,"abstract":"In Textile Industries, there are several challenges involved in the initial setup. The Major raw material for the textile industries is cotton. Many tedious processes are encountered to evolve cotton in its purest form to benefit textile industry. Even though there is a huge evolution in automation in many industries till today the cotton is fed manually to the delinter machines. One major challenge is to feed cotton to the delinter machines and also it is difficult to check the cotton on the delinter machines. Running idle delinter machines increases power consumption and reduces production effectiveness. As a result, the proposed solution calls for using a vacuum pump to transfer cotton from the storage into a container. The cotton is then fed to the delinter machines through a roller setup for steady flow in accordance with the level of cotton present in the machines, which is monitored by an ultrasonic level sensor and LCD Display. The proposed model helps to handle the problems of human intervention, improves power efficiency, and raises industry output with the aid of continual monitoring.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126349552","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