2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)最新文献_第10页

Voice Controlled Wheelchair 声控轮椅

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157303

Vijay R. Mane, Shalmali Bhalerao, Rituraj Sharma, Sharayu Chakole, A. Shimpi, Nishka Mane

引用次数: 0

A Steganographic Method Using a Secure and Effective Pattern-Based Approach 一种安全有效的基于模式的隐写方法

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157667

Arjit Vatsa, Sanskar Agarwal, M. Ranjani

{"title":"A Steganographic Method Using a Secure and Effective Pattern-Based Approach","authors":"Arjit Vatsa, Sanskar Agarwal, M. Ranjani","doi":"10.1109/ViTECoN58111.2023.10157667","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157667","url":null,"abstract":"Information is now widely available thanks to the development of the Internet and communication technologies. By itself, the abundance of knowledge creates a risk. The risk of intentional interference and eavesdropping in electronic communication is rising. In this day and age, privacy and security are top priorities. Two techniques have been developed in this context: cryptography and steganography. Steganography hides the presence of the message, whereas cryptography scrambles it to make it illegible. Steganographic techniques might be frequency-domain or spatial-domain (changing the pixel values to conceal data) (modifying the image's frequency coefficients). The vulnerability of spatial domain techniques to steganalysis is greater than that of frequency-domain methods. In this project, we provide an original pattern-based steganography method with an enhanced Caesar cypher for cryptography. This method chooses four patterns to conceal once the data is first encrypted using the extended Caesar cypher, the message in the picture. An additional degree of protection is added by securing the secret message with an AES-encrypted password. This technique is unnoticeable to visual assaults, histogram attacks, and statistical attacks since the changes it produces are not evident in the final image. This method offers fresh insight into a steganographic process that is more reliable, effective, and adaptable.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"13 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":"115331436","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

Depression Detection from Speech Emotions using MFCC based Recurrent Neural Network 基于MFCC的递归神经网络语音情绪抑郁检测

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157779

Swarna Kuchibhotla, Siva Sahitya Dogga, N. V. S. L. G. Vinay Thota, Gopi Puli, Niranjan M S R, H. D. Vankayalapati

{"title":"Depression Detection from Speech Emotions using MFCC based Recurrent Neural Network","authors":"Swarna Kuchibhotla, Siva Sahitya Dogga, N. V. S. L. G. Vinay Thota, Gopi Puli, Niranjan M S R, H. D. Vankayalapati","doi":"10.1109/ViTECoN58111.2023.10157779","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157779","url":null,"abstract":"Depression is a mental health disorder that affects millions of people worldwide. While there are many effective treatments for depression, the first step is often detecting the condition. In recent years, researchers have explored the use of machine learning algorithms to detect depression in speech patterns. Recurrent neural networks (RNNs) are a popular type of deep learning algorithm that can be used for this task. In this study, depression detection in speech using RNNs is used. The proposed system uses Mel-frequency cepstral coefficients (MFCCs) as input features to an RNN model. The RNN model is trained on an emotion dataset of speech recordings from individuals. The model is then used to classify new speech recordings based on stress/depression in each emotion. The experimental results show that RNNs are prominent for depression detection in speech. Future work could focus on improving the accuracy of the system by incorporating additional features in RNN architecture.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"1 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":"114210936","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

Classification and Segmentation of Marine Related Remote Sensing Imagery Data Using Deep Learning 基于深度学习的海洋遥感图像数据分类与分割

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157717

Naga Venkata Rishika.G, Rupa Ch., Akhil Babu.N, Navena M, Mahanthi Sekhar.M

{"title":"Classification and Segmentation of Marine Related Remote Sensing Imagery Data Using Deep Learning","authors":"Naga Venkata Rishika.G, Rupa Ch., Akhil Babu.N, Navena M, Mahanthi Sekhar.M","doi":"10.1109/ViTECoN58111.2023.10157717","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157717","url":null,"abstract":"Ship monitoring plays a crucial role in maritime safety, port administration, Ship traffic, maritime emergency and national defense. Using object detection methods U-Net and YOLOv2, image-based Ship detection has been put into practice but these methods have limitations, in U-Net at runtime, we can run the image only once which reduces its speed and in YOLOv2 all the anchor boxes are of same size, so objects with various sizes and shapes are difficult to detect. Hence to solve these issues a proposal with better techniques like YOLOv3 has been used to detect objects with super speed and various sizes of objects with the help of anchor boxes and U-net, which only requires a small number of training samples but offers high results for segmentation tasks due to its usage of a loss function for each pixel in the input image, this allows for simple identification of specific cells within the segmentation map. Hence the performance of these algorithms is measured to determine which of these two algorithms has more accuracy.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"15 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":"125336704","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

A Deep Learning based Model for Predicting the future prices of Bitcoin 预测比特币未来价格的深度学习模型

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157841

Harshith Singathala, Jyotsna Malla, J. Jayashree, J. Vijayashree

引用次数: 0

LoRa Based Surveillance Rover with Integration of Hybrid Communication Technologies for Versatile Applications 基于LoRa的多用途混合通信技术集成监控漫游者

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10156900

Pathan Mohammed Afreed Khan, Bandi Raja Babu, V. S, Lova Raju K

引用次数: 0

Smart Attendance Using Face Recognition 使用人脸识别的智能考勤

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157213

V. Mane, Mrunal Shinde, Prem Shejole, Shafaque Sheikh, Prasad Shevale, Sahil Salve

引用次数: 2

ACS Fed with Fractal Antenna Using Dual Band Operation for Wireless Application 双频分形天线馈电在无线中的应用

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157389

Janupriya S, H. S., D.M Durga, Dhivya Poorani T, Gajalakshmi R

引用次数: 0

Face Recognition Attendance System Using Local Binary Pattern Algorithm 基于局部二值模式算法的人脸识别考勤系统

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157843

K. P, Salman Latheef T A, S. R

{"title":"Face Recognition Attendance System Using Local Binary Pattern Algorithm","authors":"K. P, Salman Latheef T A, S. R","doi":"10.1109/ViTECoN58111.2023.10157843","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157843","url":null,"abstract":"In the digital age of today, face recognition technology is essential and is utilized by almost all businesses. one of the technologies that made the most use of biometrics. It can be used for authentication, identification, and security and offers numerous benefits. Despite the fact that the method is non-invasive and contactless, it is still frequently used because it is less accurate than iris and unique mark ID. Organizations, universities, and other educational establishments can also make use of the facial recognition technology to monitor students' attendance. The current manual method is cumbersome and difficult to maintain, so this system aims to create a facial recognition-based system for tracking class attendance. Proxy attendance may also be an option. As a result, demand for this system has increased. Database creation, face detection, face recognition, and attendance update are the four stages of this system. Databases are created with images of students in class. For face recognition and detection, the Haar- Cascade classifier and the local binary pattern histogram method are utilized, respectively. Faces are perceived and distinguished in the homeroom's live-transferred video. Attendance records will be mailed to the relevant lecturers at the conclusion of the session.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"37 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":"124704295","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

Rice Type Classification using Proposed CNN Model 基于CNN模型的水稻类型分类

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) Pub Date : 2023-05-05 DOI: 10.1109/ViTECoN58111.2023.10157073

Rahul Singh, N. Sharma, Rupesh Gupta

引用次数: 0