BS Sathish, B. R, Suhas Bs, Tina Popli, Spoorthi R, Rachana R Hebbar
{"title":"An Advanced Computer Vision Techniques for Object Recognition and Navigation Assistance for the Visually Impaired","authors":"BS Sathish, B. R, Suhas Bs, Tina Popli, Spoorthi R, Rachana R Hebbar","doi":"10.1109/ViTECoN58111.2023.10157346","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157346","url":null,"abstract":"In this paper, we present a mobile application designed to assist visually impaired individuals in navigating their daily lives. The application incorporates several features, including text-to-speech, currency detection, calculator, object detection using trained machine learning models, and reminders. These features are all integrated with voice command functionality and can be accessed with a single button touch. The text-to-speech feature allows users to listen to text on their mobile devices from documents. The currency detection feature enables users to recognize all Indian currency through their phone camera, which is particularly helpful for those who may struggle with identifying money. The calculator feature helps users to perform simple calculations with ease. Using the mobile camera, the object detection feature detects objects in real-time using the trained ML models, both indoors and outdoors. Additionally, users can set daily reminders for themselves. The application also includes integrated Google Maps for real-time navigation assistance. Our research demonstrates that this mobile application is an effective tool for visually impaired individuals, as it provides a range of features that can help them easily navigate and pass their daily time. We believe this paper serves as a valuable contribution to the field of assistive technology for the visually impaired.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"10 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":"132157845","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}
Mooni Rahul, V. Vaishnavi, Kasthuri Vyshnavi, Chandramauleshwar Roy
{"title":"Power Aware 10T Static Random-Access Memory Design","authors":"Mooni Rahul, V. Vaishnavi, Kasthuri Vyshnavi, Chandramauleshwar Roy","doi":"10.1109/ViTECoN58111.2023.10157217","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157217","url":null,"abstract":"Our proposed 10T (PROP10T) SRAM cell is presented in this article. The important design metrics are assessed using HSPICE Monte Carlo Simulations. In our proposed 10T SRAM cell. The estimated results of PROP10T Static RAM cell are contrasted with the conventional 6T (CONV6T) and conventional 8T (CONV8T) Static RAM cell. Compared to the CONV6T and CONV8T, the PROP10T has demonstrated shorter read delay (TRA). The write delay (TWA) of PROP10T is now almost 4 times faster than CONV6and T's 1.2 times faster than CONV8 T's. On CONV6T and CONV8T, respectively, the proposed design improves RSNM (read static noise margin) by 3.1 and 2 dB [1].","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":"132735873","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}
D. Nanthiya, S. B. Gopal, S. Balakumar, M. Harisankar, S.P. Midhun
{"title":"Gold Price Prediction using ARIMA model","authors":"D. Nanthiya, S. B. Gopal, S. Balakumar, M. Harisankar, S.P. Midhun","doi":"10.1109/ViTECoN58111.2023.10157017","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157017","url":null,"abstract":"The most valuable metal in the world is gold. It is the most sought-after commodity available. The study and forecasting of the daily gold price rate and the future gold price rate using machine learning algorithms and methodologies. Due to the multifactorial and nonlinear structure of the gold market, it is impossible to anticipate the gold price, which is influenced by a variety of external variables like marketing conditions, economic crises, oil price rate hikes, tax benefits, and interest rates. Using machine learning to enhance the performance of certain types of activities. It is used to the forecasting of financial variables, with an emphasis on equities rather than commodities. It focuses on how predictions are made utilising datasets and statistical analysis. Using ensemble-based machine learning methods such as Linear Regression, ARIMA Model, Random Forest Regression. The predictions are derived from a dataset of gold price rates. The performance measurements are MAE and RMSE. In Linear Regression values are 19.82,24.41. ARIMAA model 0.040, 0.046 and Random Forest is 0.150, 0.156. The results suggest ARIMAA model predict value in high accuracy.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"11 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":"133264047","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}
{"title":"Text Translation for Indian Languages","authors":"Rajesh V, B. Permual, Bingi Prasanna, Bala Haripriya, Ravva Sravani, Somala Nandini","doi":"10.1109/ViTECoN58111.2023.10157002","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157002","url":null,"abstract":"To displays a language translation model using LSTM for Indian languages. Since in India we have various languages it is essential to remove the language barrier, so that many people can communication in an effective manner. The model uses an encoder-decoder architecture and is trained on a large dataset of parallel texts. The accuracy of the model is evaluated using common metrics, and the results show that the model is effective in translating text between Indian languages. The study demonstrates the effectiveness of LSTM can be utilized to create more successful language translation models for this language group for Indian languages.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"60 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":"123161539","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}
D. Soumya, D. L. K. Reddy, Abhayendra Nagar, A. Rajpoot
{"title":"Enhancing Brain Tumor Diagnosis: Utilizing ResNet-101 on MRI Images for Detection","authors":"D. Soumya, D. L. K. Reddy, Abhayendra Nagar, A. Rajpoot","doi":"10.1109/ViTECoN58111.2023.10157378","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157378","url":null,"abstract":"Brain cancer is an increasingly grave and oftentimes severely painful condition that has attracted a lot of attention. Although brain cancer is rare and the disease is less prevalent than many other cancer kinds, 60% of cases survive within one year of diagnosis, compared to 30% of cases- that barely survive five years. This is a moderately low survival rate. The survival rate has somewhat increased over the past decade for patients discovered in the earlier stages. Nonetheless, it appears that the overall number of persons with brain cancer will continue to climb shortly due to the aging population. Identifying symptomatic individuals at the initial stage is a crucial public health approach to achieving this goal. One such model is our proposed model, which utilizes ResNet-101 architecture in the core network. The proposed model is trained using magnetic resonance images (MRIs) of the brain and utilizes transfer learning to improve model performance. The ResNet-101 architecture enables the use of residual blocks and skips connections to address the vanishing gradient problem and improve model accuracy. A collection of 3060 brain MRI data is used to evaluate the suggested system and achieves an accuracy of 97% in classifying tumors. This methodology may increase the precision and effectiveness of brain cancer identification, aiding in early diagnosis and treatment.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"6 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":"127860538","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}
S. S, Sohil Sheth, Apoorva Kumar, Biswajit Dwivedy
{"title":"An IoT Enabled Smart Wheelchair Solution for Physically Challenged People","authors":"S. S, Sohil Sheth, Apoorva Kumar, Biswajit Dwivedy","doi":"10.1109/ViTECoN58111.2023.10157231","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157231","url":null,"abstract":"According to the World Health Organization, just 5 to 15% of the seventy million disabled individuals worldwide have access to wheelchairs. In today's world, the conventional wheelchair requires human effort and lacks various safety features, whereas with smart wheelchairs patients get the assistance they need to complete everyday chores without the aid of others. To overcome these limitations smart wheelchairs come into play. These are power wheelchair that has several sensors, andassistive technologies, and provides disabled people with free and secure mobility in most environments like in home, parks, and normal walking lanes. These wheelchairs are gradually becoming more popular and replacing regular wheelchairs. Nonetheless, they are expensive which prohibits a substantial number of disabled people from receiving services. An affordable smart wheelchair that employs cutting-edge parts and technology to offer plenty of features while reducing expenses is our goal. An outline of an affordable Smart Wheelchair is proposed here which is based on an 8051 micro-controller and the Internet of Things (IoT) technology that incorporates GPS and WiFi modules for sending alert messages during emergencies.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"21 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":"115369433","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}
P. Anand, P. Nandhini, J. J. Christy, K. Shiyamala
{"title":"Cyber threat estimation and prevention using xgboost","authors":"P. Anand, P. Nandhini, J. J. Christy, K. Shiyamala","doi":"10.1109/ViTECoN58111.2023.10157276","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157276","url":null,"abstract":"The health care industry is vulnerable to cyber threats, and effective identification and classification of these threats can help healthcare organizations proactively take measures to prevent and mitigate them. This paper presents a classification model using the XGBoost algorithm to classify different types of cyber threats in the healthcare industry like malware, DDoS, reconnaissance, generic and exploits. The model uses a variety of features, including network traffic and log data, to predict the type and severity of cyber threats. The paper evaluates the model's performance using a dataset of real-world cyber threats and demonstrates its effectiveness in accurately classifying cyber threats. The paper also discusses the potential benefits of using this model to help healthcare organizations better protect patient data and mitigate the impact of cyber-attacks. Overall, the XGBoost-based classification model shows promise as a useful tool for identifying and managing cyber threats in the health care industry with accuracy of 99.40%.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"2016 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":"114614695","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}
{"title":"Realization of DTMOS based 6T SRAM cells and their performance analysis at 32nm technology node","authors":"Divesh, Jatin, Keshav, N. Pandey","doi":"10.1109/ViTECoN58111.2023.10157250","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157250","url":null,"abstract":"The SRAM cells are extensively used in on-chip cache memory in devices such as microprocessors, computers, games controller, and mobile phones etc. This paper examines the performance of six transistor SRAM cell with DTMOS as access/pull-up/pull-down transistors and in combination totaling to seven topologies. Copious simulations in LT spice environment have been performed to compute static and dynamic performance of all the seven topologies using 32 nm PTM model parameters. It is found that pull-up and pull-down based DTMOS structure gives best matrices for stability while access only DTMOS structure gives best delay performance.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"29 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":"115001861","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}
A. Singh, Tanishka Nair, Shivashish Roy, Ashish Srivastava, Vikrant Verma
{"title":"Design and Testing of Vivaldi Antenna for UWB Applications","authors":"A. Singh, Tanishka Nair, Shivashish Roy, Ashish Srivastava, Vikrant Verma","doi":"10.1109/ViTECoN58111.2023.10157849","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157849","url":null,"abstract":"A Vivaldi antenna used for Ultrawideband (UWB) purposes has been proposed in this paper. This design's primary goal is to maximize the bandwidth so as to meet the requirements of a ultrawideband antenna. FR-4 substrate with an epsilon value of 4.3 has been employed to create the proposed antenna and these developments have been simulated. The antenna is energized using a wideband microstrip-to-slot transition feeding mechanism. With physical dimensions of $94.82 text{mm} times 75.00$ mm $times 1.74$, mm and a working bandwidth of 2.75 to 7.11 GHz for the simulation and 2.4 to 6.5 G Hz for the fabricated antenna, the suggested antenna is also small enough to be easily incorporated into a UWB devices or systems.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"115 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":"123651454","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}
K. R. Dinakar, P. D. Reddy, B. Gowthami, S. K. Tripathi, Raju Patel
{"title":"Design of CMOS Low Noise Amplifier Using 180NM Current Conveyor","authors":"K. R. Dinakar, P. D. Reddy, B. Gowthami, S. K. Tripathi, Raju Patel","doi":"10.1109/ViTECoN58111.2023.10157438","DOIUrl":"https://doi.org/10.1109/ViTECoN58111.2023.10157438","url":null,"abstract":"Low noise amplifiers are typically employed as high or intermediate frequency preamplifiers for various radio receivers. This document shows the implementation of CMOS Low Noise Amplifier using 180 nm current conveyor. When boosting weak signals, the amplifiers noise output may significantly interfere with the signal. To receive and amplify the very low-power signal that the antenna presents to it within the targeted bandwidth, it serves as the front end of the receiver channel. This is referred to as the most challenging signal processing task in signal theory. LTSPICE simulation with 180nm CMOS technology, has been carried out to test the integrity of the design.","PeriodicalId":407488,"journal":{"name":"2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)","volume":"29 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":"124007004","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}