Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10126053
Barukam Vamshikrishna Yadav, A. Viji Amutha Mary, Mercy Paul Selvan, S. Jancy, L. Helen
With the recent surge in crimes against women, women's safety has become a critical challenge. To address this issue, this study has developed a navigation-based women protection system. In critical situations where a woman is afraid or in danger, the proposed device gives two alarms. In dangerous conditions, this mechanism can be activated. It is useful because a woman may or may not be able to activate the emergency key in the event of a woman-related emergency. If the user is denied to use the panic button if she is pushed down from behind, a signalling device's panic button will be enabled. If a woman is knocked on the head from the side or rear, there is no way to activate the buzzer, and no one is made aware about the danger. The proposed system addresses this issue by providing user location since this device continually communicates the user location. A Global Positioning System (GPS) and a GSM modem-based system are employed here to ensure women's safety. By linking to the warning system, the system can notify the neighbours. Further, SMS will be sent to the registered mobile phone number via the preset GSM modem. For protection, the user can use a particular switch if there is any danger. Pressing the button starts the system, and an SMS including Sim and GPS information will be sent immediately.
{"title":"Arduino based Women Safety Tracker Device","authors":"Barukam Vamshikrishna Yadav, A. Viji Amutha Mary, Mercy Paul Selvan, S. Jancy, L. Helen","doi":"10.1109/ICOEI56765.2023.10126053","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10126053","url":null,"abstract":"With the recent surge in crimes against women, women's safety has become a critical challenge. To address this issue, this study has developed a navigation-based women protection system. In critical situations where a woman is afraid or in danger, the proposed device gives two alarms. In dangerous conditions, this mechanism can be activated. It is useful because a woman may or may not be able to activate the emergency key in the event of a woman-related emergency. If the user is denied to use the panic button if she is pushed down from behind, a signalling device's panic button will be enabled. If a woman is knocked on the head from the side or rear, there is no way to activate the buzzer, and no one is made aware about the danger. The proposed system addresses this issue by providing user location since this device continually communicates the user location. A Global Positioning System (GPS) and a GSM modem-based system are employed here to ensure women's safety. By linking to the warning system, the system can notify the neighbours. Further, SMS will be sent to the registered mobile phone number via the preset GSM modem. For protection, the user can use a particular switch if there is any danger. Pressing the button starts the system, and an SMS including Sim and GPS information will be sent immediately.","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":"121377964","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10125896
S. Jency, S. Karthika, J. Ajaykumar, R. Selvaraj, A.P. Aarthi
The architecture of a fully autonomous car must be incorporated with a traffic sign recognition system. The Traffic Sign Recognition (TSR) consists of two components: detection and classification. The proposed study, which focuses on identifying these signals, is based on LISA dataset, which is the largest publicly accessible collection of images of traffic signs in the world. The performance of both aggregate channel features-based and integral channel feature-based detection approaches has reached its quality. In the proposed study, the performance of Convolutional Neural Networks (CNN), aggregate channel characteristics, and integral channel features are evaluated. The proposed study investigates the detection performance of CNN by tuning the convolutional layers, max-pool layers, and linear layers. The effectiveness of the proposed detection model is tested using the PASCAL measure, a typical statistic for this system.
{"title":"Traffic Sign Recognition System for Autonomous Vehicles using Deep Learning","authors":"S. Jency, S. Karthika, J. Ajaykumar, R. Selvaraj, A.P. Aarthi","doi":"10.1109/ICOEI56765.2023.10125896","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125896","url":null,"abstract":"The architecture of a fully autonomous car must be incorporated with a traffic sign recognition system. The Traffic Sign Recognition (TSR) consists of two components: detection and classification. The proposed study, which focuses on identifying these signals, is based on LISA dataset, which is the largest publicly accessible collection of images of traffic signs in the world. The performance of both aggregate channel features-based and integral channel feature-based detection approaches has reached its quality. In the proposed study, the performance of Convolutional Neural Networks (CNN), aggregate channel characteristics, and integral channel features are evaluated. The proposed study investigates the detection performance of CNN by tuning the convolutional layers, max-pool layers, and linear layers. The effectiveness of the proposed detection model is tested using the PASCAL measure, a typical statistic for this system.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"15 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":"124999974","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10125862
D. Mishra, Ishan Dushettiwar, Prachi Rane, Smita Daware
Public safety from manhole injuries is required in a country with a large population like India. Several injuries happen daily due to poorly covered manholes or even open manholes. These injuries are often entirely ignored or written off as a random occurrence. However, research has showed that with certain improvements in design such as the one which is developed in this research study; public safety and security can be improved by making manholes a lot safer. In the PMs Mandate of “Swachh Bharat”, manholes play an important part and the proposed model will make this important feature more secure for the citizens. The experimental outcomes show that the framework works steadily and information transmission is solid, which is useful to acknowledge insightful the board of a savvy city and make an amicable and safe shrewd city climate. The system's job is to continuously monitor the lid status of the manhole and ensure that it is closed using a magnetic reed switch mechanism that is specially designed for this purpose. Numerous methods have been proposed for the same purpose. However, the proposed model uses reed switches, which is considered as a novel element of the proposed system.
{"title":"Manhole Monitoring and Detection using loT","authors":"D. Mishra, Ishan Dushettiwar, Prachi Rane, Smita Daware","doi":"10.1109/ICOEI56765.2023.10125862","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125862","url":null,"abstract":"Public safety from manhole injuries is required in a country with a large population like India. Several injuries happen daily due to poorly covered manholes or even open manholes. These injuries are often entirely ignored or written off as a random occurrence. However, research has showed that with certain improvements in design such as the one which is developed in this research study; public safety and security can be improved by making manholes a lot safer. In the PMs Mandate of “Swachh Bharat”, manholes play an important part and the proposed model will make this important feature more secure for the citizens. The experimental outcomes show that the framework works steadily and information transmission is solid, which is useful to acknowledge insightful the board of a savvy city and make an amicable and safe shrewd city climate. The system's job is to continuously monitor the lid status of the manhole and ensure that it is closed using a magnetic reed switch mechanism that is specially designed for this purpose. Numerous methods have been proposed for the same purpose. However, the proposed model uses reed switches, which is considered as a novel element of the proposed system.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"80 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":"125143280","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10126020
Ggaliwango Marvin, Nakayiza Hellen, J. Nakatumba-Nabende, Md. Golam Rabiul Alam
The increasing availability of online medical platforms has made it easier for people to access medical information and treatment. However, it has also led to an increase in fraudulent schemes that exploit individuals seeking medical advice. This has created an exploitable opportunity for unprofessional and unqualified medical personnel operating on online platforms for telemedicine. This study illustrates and discusses the use of Artificial Intelligence, specifically Natural Language Processing (NLP), to detect trustworthy medical sentiments in online maternal and neonatal healthcare advice. Interpretable detection of medical sentiments in crowdsourced advice from both medical experts and regular individuals on social media platforms was done. In this approach, the “Explain Like I'm 5” (ELi5) technique is used to make the detection process more understandable and trustworthy. Our findings demonstrate an urgent need for a maternal and neonatal medical corpus and the use of explainable AI to ensure a sustainable and trustworthy healthcare for all with Conversational AI.
{"title":"Trustworthy Medical Sentiment Detection for Maternal and Neonatal Healthcare","authors":"Ggaliwango Marvin, Nakayiza Hellen, J. Nakatumba-Nabende, Md. Golam Rabiul Alam","doi":"10.1109/ICOEI56765.2023.10126020","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10126020","url":null,"abstract":"The increasing availability of online medical platforms has made it easier for people to access medical information and treatment. However, it has also led to an increase in fraudulent schemes that exploit individuals seeking medical advice. This has created an exploitable opportunity for unprofessional and unqualified medical personnel operating on online platforms for telemedicine. This study illustrates and discusses the use of Artificial Intelligence, specifically Natural Language Processing (NLP), to detect trustworthy medical sentiments in online maternal and neonatal healthcare advice. Interpretable detection of medical sentiments in crowdsourced advice from both medical experts and regular individuals on social media platforms was done. In this approach, the “Explain Like I'm 5” (ELi5) technique is used to make the detection process more understandable and trustworthy. Our findings demonstrate an urgent need for a maternal and neonatal medical corpus and the use of explainable AI to ensure a sustainable and trustworthy healthcare for all with Conversational AI.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"17 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":"123736719","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}
Railways are the most preferable transport system because of their reliability, passenger safety, and ease to travel. If any misalignment or crack occurs, it creates a loss of lives. If these cracks and misalignments are not taken care of early, they may result in derailments and eventually result in a significant loss of life. To overcome this issue, a railway track crack detection system is proposed. The components like Global Position System (GPS), BUZZER, IR SENSOR, ULTRASONIC SENSOR, ARDUINO, Global System for Mobile (GSM), BATTERY, and D.C. MOTOR will be used. The cracks are detected through sensor rays. GPS can send the position of the explicit area and GSM sends the message to the station premises. The sensor detects the crack and sends a message to the maintenance room, and all connections are made with ARDUINO. Here in the place of the train, a wheeled robot will be used with the help of the dc motor. This concept will give high accuracy and no problem will be occurred during detection and saves so many lives. It can be used for railway stations and used in metro trains, gaming systems, and any crack detection system.
{"title":"Fault Detection in Railway Track using GSM And GPS System","authors":"Manasa Vemula, Subhojit Dawn, Akshitha Machagiri, Sai Lalitha Potipireddi, Baby Rukmini Bobbili","doi":"10.1109/ICOEI56765.2023.10125887","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125887","url":null,"abstract":"Railways are the most preferable transport system because of their reliability, passenger safety, and ease to travel. If any misalignment or crack occurs, it creates a loss of lives. If these cracks and misalignments are not taken care of early, they may result in derailments and eventually result in a significant loss of life. To overcome this issue, a railway track crack detection system is proposed. The components like Global Position System (GPS), BUZZER, IR SENSOR, ULTRASONIC SENSOR, ARDUINO, Global System for Mobile (GSM), BATTERY, and D.C. MOTOR will be used. The cracks are detected through sensor rays. GPS can send the position of the explicit area and GSM sends the message to the station premises. The sensor detects the crack and sends a message to the maintenance room, and all connections are made with ARDUINO. Here in the place of the train, a wheeled robot will be used with the help of the dc motor. This concept will give high accuracy and no problem will be occurred during detection and saves so many lives. It can be used for railway stations and used in metro trains, gaming systems, and any crack detection system.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"14 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":"125422018","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10125649
R. Sridevi, S. B, Logeshsanjay R, M. N, Venugopal B
With developments in surgical approaches and greater knowledge of shoulder and wrist breakdown healing, it was necessary to establish reasonable progress after the operation. During recovery, there has to be an ongoing interaction with the medical staff. Pain and edema must be treated immediately, to ensure the complete recovery of patients' motion range. The therapeutic framework allows for innovative stress treatment by increasing motion range and progression between idle, dynamic assistance, and strong motions. Since time limitations truly aren't applied for growth, it is vital neither to exert enormous strain upon that shoulder and wrist for a period of twelve weeks to enable for optimal tendon-to-bone rehabilitation. When workouts progress, muscular stimulation was triggered, governed by adequate workouts which leads to rapid and consistent recovery. This system employs a micro controller as well as EMG and accelerometer sensors to detect muscle movement as well as hand position and angle while performing movements during the rehabilitation and recovery phase. This work is capable of providing muscle rehabilitation, particularly when the micro controller is used. As a result, the proposed system able to predict how quickly the patient will recover from the shoulder and wrist problems, and the current muscle activity details are presented using the Cayenne app powered by the IOT (ESP8266-12E) NODE MCU and Cayenne server.
{"title":"Shoulder and Wrist Rehabilitation: A Biofeedback Simulation using IoT","authors":"R. Sridevi, S. B, Logeshsanjay R, M. N, Venugopal B","doi":"10.1109/ICOEI56765.2023.10125649","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125649","url":null,"abstract":"With developments in surgical approaches and greater knowledge of shoulder and wrist breakdown healing, it was necessary to establish reasonable progress after the operation. During recovery, there has to be an ongoing interaction with the medical staff. Pain and edema must be treated immediately, to ensure the complete recovery of patients' motion range. The therapeutic framework allows for innovative stress treatment by increasing motion range and progression between idle, dynamic assistance, and strong motions. Since time limitations truly aren't applied for growth, it is vital neither to exert enormous strain upon that shoulder and wrist for a period of twelve weeks to enable for optimal tendon-to-bone rehabilitation. When workouts progress, muscular stimulation was triggered, governed by adequate workouts which leads to rapid and consistent recovery. This system employs a micro controller as well as EMG and accelerometer sensors to detect muscle movement as well as hand position and angle while performing movements during the rehabilitation and recovery phase. This work is capable of providing muscle rehabilitation, particularly when the micro controller is used. As a result, the proposed system able to predict how quickly the patient will recover from the shoulder and wrist problems, and the current muscle activity details are presented using the Cayenne app powered by the IOT (ESP8266-12E) NODE MCU and Cayenne server.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"7 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":"114903616","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10125633
A. Khade, Janani S. Iyer, Manoj Inbarajan, Vinay Yadav
This study focuses on the development of a web browser extension designed to detect and prevent phishing attacks and Cross-Site Request Forgery (CSRF) vulnerabilities. The extension is built using HTML, CSS, and JavaScript and incorporates a machine learning model that was trained using the random forest algorithm. This algorithm was selected due to its high accuracy in comparison to other models tested. The primary function of the extension is to scan a website link for potential vulnerabilities and provide users with real-time protection against phishing attacks. This is achieved by using the trained machine learning model to analyze various characteristics of the website and determine if it poses a risk to the user's security. In addition to providing phishing protection, the extension also offers defense against Cross-Site Request Forgery attacks by preventing unauthorized actions from being executed on a user's behalf. This is achieved by verifying the authenticity of incoming requests and ensuring that only trusted sources are able to execute actions. Overall, this study intends to provide a comprehensive solution for protecting users against phishing attacks and cross-site request forgery vulnerabilities while browsing the web. The web extension is user-friendly and easy to install, making it accessible to a wide range of users.
{"title":"Mitigating Cross-Site Request Forgery Threats in the Web","authors":"A. Khade, Janani S. Iyer, Manoj Inbarajan, Vinay Yadav","doi":"10.1109/ICOEI56765.2023.10125633","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125633","url":null,"abstract":"This study focuses on the development of a web browser extension designed to detect and prevent phishing attacks and Cross-Site Request Forgery (CSRF) vulnerabilities. The extension is built using HTML, CSS, and JavaScript and incorporates a machine learning model that was trained using the random forest algorithm. This algorithm was selected due to its high accuracy in comparison to other models tested. The primary function of the extension is to scan a website link for potential vulnerabilities and provide users with real-time protection against phishing attacks. This is achieved by using the trained machine learning model to analyze various characteristics of the website and determine if it poses a risk to the user's security. In addition to providing phishing protection, the extension also offers defense against Cross-Site Request Forgery attacks by preventing unauthorized actions from being executed on a user's behalf. This is achieved by verifying the authenticity of incoming requests and ensuring that only trusted sources are able to execute actions. Overall, this study intends to provide a comprehensive solution for protecting users against phishing attacks and cross-site request forgery vulnerabilities while browsing the web. The web extension is user-friendly and easy to install, making it accessible to a wide range of users.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"86 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":"116554317","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}
Nowadays, people are well aware of the essential role that social media plays in modern communication. Email is one of the most reliable and secure social media platforms used for making online contacts and exchanging data or messages over the internet. Free email and messages provided by strangers are relied on by many people nowadays. Because anyone may send an email or a message, spammers have a fantastic opportunity to write spam messages that cater to our varied interests. Mass emailing, sometimes known as “email spam,” is the practice of sending numerous messages at once using electronic mail. When emails are forwarded to unauthorized servers, spam is the usual result. Spam slows down internet connection, steals sensitive information like passwords and credit card details, and tampers with search results on computers. It's not simple to track down spammers and their content. Today, spam emails are mostly used to promote products and services, as this is where the money is. The proposed model allows us to categorize messages as spam or ham and determine what percentage of the dataset is comprised of spam or ham. In this proposed work, the machine learning method such as Support Vector Machine (SVM) are examined and how it is used to classify emails as spam or ham using proposed dataset. The accuracy of suggested model for determining the content of an email is significantly higher than that of earlier models.
{"title":"Score based Support Vector Machine for Spam Mail Detection","authors":"Lakshman Narayana Vejendla, Bhargavi Bysani, Abitha Mundru, Maheswari Setty, Vidya Jyothi Kunta","doi":"10.1109/ICOEI56765.2023.10125718","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125718","url":null,"abstract":"Nowadays, people are well aware of the essential role that social media plays in modern communication. Email is one of the most reliable and secure social media platforms used for making online contacts and exchanging data or messages over the internet. Free email and messages provided by strangers are relied on by many people nowadays. Because anyone may send an email or a message, spammers have a fantastic opportunity to write spam messages that cater to our varied interests. Mass emailing, sometimes known as “email spam,” is the practice of sending numerous messages at once using electronic mail. When emails are forwarded to unauthorized servers, spam is the usual result. Spam slows down internet connection, steals sensitive information like passwords and credit card details, and tampers with search results on computers. It's not simple to track down spammers and their content. Today, spam emails are mostly used to promote products and services, as this is where the money is. The proposed model allows us to categorize messages as spam or ham and determine what percentage of the dataset is comprised of spam or ham. In this proposed work, the machine learning method such as Support Vector Machine (SVM) are examined and how it is used to classify emails as spam or ham using proposed dataset. The accuracy of suggested model for determining the content of an email is significantly higher than that of earlier models.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"1 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":"122486252","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10125850
S. Ramya, R. Priyanka, S. Priya, M. Srinivashini, A. Yasodha
In today's society, Fake social profiles are multiplying quickly and disseminating false information and news through this expanding channel. The misuse of personal data and illegal social offenses are the primary causes of false accounts. In this research work, fake accounts are identified and prevented in the browser. The technique uses two algorithms: Neural Network (NN) and Support Vector Machine (SVM), to classify the fake accounts and block them in the browser. In modern days, everyone's life is strongly connected to online social networks. It is simpler to add new friends and stay up to speed with their changes. A variety of fields, including business, research, education, activism, and the workplace are impacted by Online Social Networks (OSN).
在当今社会，虚假的社交档案正在迅速增加，并通过这个不断扩大的渠道传播虚假信息和新闻。滥用个人信息和非法社会犯罪是造成虚假账户的主要原因。在这项研究工作中，在浏览器中识别和阻止虚假账户。该技术使用两种算法:神经网络(NN)和支持向量机(SVM)，对虚假账户进行分类，并在浏览器中阻止它们。在现代，每个人的生活都与在线社交网络紧密相连。添加新朋友并跟上他们的变化更简单。各种领域，包括商业、研究、教育、行动主义和工作场所都受到在线社交网络(Online Social Networks, OSN)的影响。
{"title":"SVM Based Fake Account Sign-In Detection","authors":"S. Ramya, R. Priyanka, S. Priya, M. Srinivashini, A. Yasodha","doi":"10.1109/ICOEI56765.2023.10125850","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125850","url":null,"abstract":"In today's society, Fake social profiles are multiplying quickly and disseminating false information and news through this expanding channel. The misuse of personal data and illegal social offenses are the primary causes of false accounts. In this research work, fake accounts are identified and prevented in the browser. The technique uses two algorithms: Neural Network (NN) and Support Vector Machine (SVM), to classify the fake accounts and block them in the browser. In modern days, everyone's life is strongly connected to online social networks. It is simpler to add new friends and stay up to speed with their changes. A variety of fields, including business, research, education, activism, and the workplace are impacted by Online Social Networks (OSN).","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"1 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":"128204537","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}
Pub Date : 2023-04-11DOI: 10.1109/ICOEI56765.2023.10125787
M. Sivaleela, S. H. Valli, V. Rafi, G. N. Nagesh Kumar
Power electronic Inverters that are required to connect Direct Current power sources to the Alternating Current grid. Conventional inverters frequently employ massive, costly, and lossy transformers and harmonic filters. Currently, reduced number of circuit components and voltage sources are considered as one of the most important features in Multi-Level Inverters (MLIs). These are a potential adjunct to traditional inverters, providing lower THD, an inductor-free design, and a wider range of operation. These generate a stepped waveform that closely resembles a sine waveform. Smart grids may include multiple sources, and whenever these sources have low THD, the demand for monitoring data at the site of common coupling is minimized. Two switching multilevel inverters of capacitor-based with boost capabilities and reduced THD are suggested in this study. The inverters contain built-in charge balancing, eliminating the need for voltage sensors and additional circuits. Phase Disposition PWM(PDPWM) technology is used to modulate the switches in the inverters, allowing for better voltage regulation and lower switching losses. Simulation is used to validate the designs, the parameters and output waveforms are shown.
{"title":"Multilevel Boost Inverter with Switched Capacitor for Smart Grid Applications","authors":"M. Sivaleela, S. H. Valli, V. Rafi, G. N. Nagesh Kumar","doi":"10.1109/ICOEI56765.2023.10125787","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125787","url":null,"abstract":"Power electronic Inverters that are required to connect Direct Current power sources to the Alternating Current grid. Conventional inverters frequently employ massive, costly, and lossy transformers and harmonic filters. Currently, reduced number of circuit components and voltage sources are considered as one of the most important features in Multi-Level Inverters (MLIs). These are a potential adjunct to traditional inverters, providing lower THD, an inductor-free design, and a wider range of operation. These generate a stepped waveform that closely resembles a sine waveform. Smart grids may include multiple sources, and whenever these sources have low THD, the demand for monitoring data at the site of common coupling is minimized. Two switching multilevel inverters of capacitor-based with boost capabilities and reduced THD are suggested in this study. The inverters contain built-in charge balancing, eliminating the need for voltage sensors and additional circuits. Phase Disposition PWM(PDPWM) technology is used to modulate the switches in the inverters, allowing for better voltage regulation and lower switching losses. Simulation is used to validate the designs, the parameters and output waveforms are shown.","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":"128401524","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}
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