2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)最新文献

Object Detection for military restricted area monitoring 军事禁区监测中的目标检测

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157122

Mudit Gupta, Ujjwal Goel, Arka Saha, Chinmay Ganguly, S. Bhardwaj

引用次数: 0

Emotion Detection in Online Social Network- A Multilabel Learning Process 在线社交网络中的情感检测——一个多标签学习过程

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157859

T. Rajkumar, Palagiri Yallareddy, Ediga Yoganand, Damera Rajkumar, Gundlapalli Likith

{"title":"Emotion Detection in Online Social Network- A Multilabel Learning Process","authors":"T. Rajkumar, Palagiri Yallareddy, Ediga Yoganand, Damera Rajkumar, Gundlapalli Likith","doi":"10.1109/ViTECoN58111.2023.10157859","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157859","url":null,"abstract":"Online social networks (OSNs)that provide emotion detection might benefit from a variety of programmers, such as specialized commercial services, guidance systems, etc. Many published materials in OSNs offer a great chance to investigate users' emotions, making it easier to design programmers quickly that are responsive to theirusers' emotions. According to the people's present emotions, personalized recommendation systemcan make recommendations for specific goods, movies, or songs. With an annotated Twitter dataset, this research creates connections between emotion labels, social relationships, and chronological events. In this research work we use an emotion factor graph identification model to integrate social relationships, sequential correlations and sentiment label connections are combined into a common framework, and we identify a few completely multi-label learning-based emotions methodology in OSN s. Experimental tests based on a dataset with human annotations are conducted, and the findings demonstrate that the suggestedmethodology can outperform the most recent techniques.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125207436","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

Cyber Hacking Breaches Prediction and Detection Using Machine Learning 使用机器学习的网络黑客入侵预测和检测

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157462

K. Pujitha, Gorla Nandini, K. T. Sree, Banda Nandini, Dhodla Radhika

{"title":"Cyber Hacking Breaches Prediction and Detection Using Machine Learning","authors":"K. Pujitha, Gorla Nandini, K. T. Sree, Banda Nandini, Dhodla Radhika","doi":"10.1109/ViTECoN58111.2023.10157462","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157462","url":null,"abstract":"Cyber hacking breaches prediction is one of the emerging technologies and it has been a quite challenging task to recognize breaches detection and prediction using computer algorithms. Making malware detection more responsive, scalable, and efficient than traditional systems that call for human involvement is the main goal of applying machine learning for breaches detection and prediction. Various types of cyber hacking attacks any of them will harm a person's information and financial reputation. Data from governmental and non-profit organizations, such as user and company information, may be compromised, posing a risk to their finances and reputation. The information can be collected from websites that can trigger cyberattack. Organizations like the healthcare industry are able to contain sensitive data that needs to be kept discreet and safe. Identity theft, fraud, and other losses may be caused by data breaches. The findings indicate that 70% of breaches affect numerous organizations, including the healthcare industry. The analysis displays the likelihood of a data breach. Due to increased usage of computer applications, the security for host and network is leading to the risk of data breaches. Machine learning methods can be used to find these assaults. By research, machine learning models are utilized to protect the website from security flaws. The dataset can be obtained from the Privacy Rights Clearinghouse. Data breaches can be decreased by educating staff on the use of modern security measures. This can aid in understanding the attacks knowledge and data security. The machine learning models like Random Forest, Decision Tree, k-means and Multi-layer Perceptron are used to predict the data breaches.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116965489","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

Retinal Vessel Segmentation using UNet++ 利用unet++进行视网膜血管分割

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157589

M. Priyadarsini, Sowmiya S, A. Jabeena, G. K. Rajini, Ganesan Subramanian, Ernest Bravin Clinton S

引用次数: 0

Enhancing Endmember Extraction using K-means clustering and Pixel Purity Index 利用k均值聚类和像素纯度指数增强端元提取

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157664

S. Kalaivani, M.R. Vimaladevi

引用次数: 0

Detection and Identification of Pills using Machine Learning Models 使用机器学习模型检测和识别药丸

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157873

S. M, E. G, Amuthaguka. D, S. Akshaya, Anika C Uthaman, Snigdha Sridhar

引用次数: 0

Performance Evaluation of GFDM in Underwater Wireless Optical Communication 水下无线光通信中GFDM的性能评价

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157613

Ananthi A, R. Hema, D. Diana

{"title":"Performance Evaluation of GFDM in Underwater Wireless Optical Communication","authors":"Ananthi A, R. Hema, D. Diana","doi":"10.1109/ViTECoN58111.2023.10157613","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157613","url":null,"abstract":"Underwater wireless optical communication (UWOC) was offered as a viable option for underwater communications that are suitable for high capacity and data transmission. This work includes the proposed, generalized frequency division multiplexing (GFDM) is considered in MIMO systems which provides the opportunity to fulfill the 5G technology. The Implementation of forward error correcting algorithm for channel encoding and decoding is to increase system performance. The FEC block code mechanism covered in this research is BCH. For successful channel estimation performances at the receiver side, we use symbol-by-symbol processing and MMSE decision feedback equalizers. The Monte Carlo (MC) applied to simulate and receive the impulse response of channel while accounting for scattering and absorption results. The investigation on different circumstances and performed through analysis of the UWOC channel for both diffusive and collimated links. The Monte Carlo simulation has been implemented to simulate the performance of BER, which accurately accounts for all channel impairments. The numerical results show that while performing symbol-by-symbol detection (SSD) significantly reduces ISI declines, spatial variety significantly reduces fading impairments.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125691771","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

Performance Analysis of Adaptive Combining Based Hybrid FSO/RF Communication System with Pointing Errors Over F-Distribution/ Nakagami-m Channel Models f分布/ Nakagami-m信道模型下具有指向误差的自适应组合FSO/RF混合通信系统性能分析

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157930

Abhishek Gupta, Kunjan Chauhan, Abhishek Yadav, R. Rani, Abhishek Jain, L. M

{"title":"Performance Analysis of Adaptive Combining Based Hybrid FSO/RF Communication System with Pointing Errors Over F-Distribution/ Nakagami-m Channel Models","authors":"Abhishek Gupta, Kunjan Chauhan, Abhishek Yadav, R. Rani, Abhishek Jain, L. M","doi":"10.1109/ViTECoN58111.2023.10157930","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157930","url":null,"abstract":"The usage of Free Space Optical (FSO) communication offers enormous promise as a technology capable of offering high-speed data transfer, reusability, and built-in security. However, FSO lines are sensitive to atmospheric attenuation, which may significantly effect the quality and reliability of the signal transmission. To solve these problems, researchers have suggested hybrid FSO/radio frequency (RF) systems that leverage both connections to increase the overall dependability of the communication system. This research offers a unique hybrid FSO/RF system that combines adaptive combining switching technique for the IM/DD and coherent heterodyne detection. In the modeling of communication connections, the Fisher distribution is utilised for FSO links, whereas the Nakagami-m distribution is utilized for RF lines. The mathematical framework of the cumulative distribution function (CDF) and probability density function (PDF) is constructed for the instantaneous overall received electrical signal-to-noise ratio (SNR). These formulae are then utilized to construct the closed form formulations for the outage probability (OP). The results suggest that hybrid FSO/RF systems provide a notable boost in the reliability and accessibility of FSO communication.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126623862","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

Systematic Number Plate detection using improved YOLOv5 detector 系统车牌检测采用改进的YOLOv5探测器

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157727

Kathirvel A, Blesso Danny J, Shalem Preetham Gandu, Joe Hinn T O, Roak Kennedy C, Aldrin Immanuel J

{"title":"Systematic Number Plate detection using improved YOLOv5 detector","authors":"Kathirvel A, Blesso Danny J, Shalem Preetham Gandu, Joe Hinn T O, Roak Kennedy C, Aldrin Immanuel J","doi":"10.1109/ViTECoN58111.2023.10157727","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157727","url":null,"abstract":"The count of automobiles has risen over the past decade on the road. There must be more automobiles on Indian roadways than the citizens living in. It is necessary to automate the fine-collecting procedure which minimizes vehicles from driving too fast and exceeding the posted speed limit by identifying the license plate. In this paper, a systematic number plate recognition (SNPR) methodology was proposed. A system based on YOLOv5s is used for training the model with annotated images in the dataset. The process was divided into several steps, comprising acquisition, detection, segmentation, and finally text recognition in an image. The automobile is recognised from each photograph in the first stage. The next stage is to identify the automobiles' license plates from the identified cars. After the segmentation, the license plates are cropped. The characters are recognised in the last phase from the collected number plates. YOLOv5 is used by the system for number plate detection and Keras for character recognition. The characters from a number plate are retrieved and entered into an excel spreadsheet. Images of Indian license plates are used to evaluate the model's performance. The accuracy for automobile detection, number plate identification and character recognition are 97.6%, 98.2%, and 99.1%.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"abs/2009.09675 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115070740","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 Development of AI-Powered Healthcare WhatsApp Chatbot 人工智能医疗WhatsApp聊天机器人的设计和开发

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157423

Prakasam S, N. Balakrishnan, Kirthickram T R, Ajith Jerom B, Deepak S

{"title":"Design and Development of AI-Powered Healthcare WhatsApp Chatbot","authors":"Prakasam S, N. Balakrishnan, Kirthickram T R, Ajith Jerom B, Deepak S","doi":"10.1109/ViTECoN58111.2023.10157423","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157423","url":null,"abstract":"Technology has been increased in massive part of today's healthcare scenario. The advancement and improvement of information and communication technologies had led to increase the usage of chatbots in almost all the healthcare sectors. And the technology has changed the way of communication between the patients and doctors in medical sectors. Nowadays, chatbots were used for computer medical communication in order replace the human agents due to high efficiency and cost effectiveness. Artificial Intelligence (AI) and Chatbots are the two base breaking technologies that have changed the patients and doctors perceive in healthcare. In the field of healthcare sector, the use of AI (Artificial Intelligence) has been explored for automating the applications and appointments for public users. A WhatsApp chatbot is program which can reply to messages automatically on WhatsApp. In this paper, to make the healthcare system more effective, and interactive a diagnostic chatbot is designed and developed using machine learning algorithms, to help the public users in booking, cancelling, and rescheduling the Doctor's appointment based on their timings. This proposed work is used to employ an artificial chatbot, to do a live chat with a patient and users regarding to the medical appointment with the concerned doctors. This application can well be extended from B2B to a B2C utilization, where service providers like doctors, ayurvedic, physiotherapist, psychologist as well as therapist, dietician, nutrition, trainer can cater to specific users. Thus, the indention to more focus on Natural Language Processing (NLP) techniques to improve the chatbot conservation aspects in future studies.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"165 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115509141","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