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Dual-Plate Verification System for Vehicle Identifcation using IoT and Embedded Systems 3

Dual-Plate Verification System for Vehicle Identifcation usi...

引用

3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Sampath, A.V.S.S. Malagati, Nischal S. Kanapathi, V. Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This research uses a dual-plate verification system for improving vehicle security by using IoT and embedded systems. The system compares front and rear license plates to detect any anomaly, which signals unauthorized modifications. Using real-time image processing and IoT-based data communication, this solution gives us an accurate plate matching system, making sure of reliable vehicle identity verification. Its possible applications include traffic monitoring, parking management, and detecting any unlawful activity. This project is unique because it integrates the dual plate verification system with an Arduino IoT setup. For hassle-free text recognition, this system uses deep learning frameworks combined with a wireless mobile setup that serves as a camera. The system’s accuracy is shown through experiments, displaying its value in improving transportation security with automation. The number plates were detected, and the respective penalties for the vehicles were imposed accordingly. © 2025 IEEE.

关键词： Anomaly detection

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Enhancing Air Quality Index Forecasting through Machine Learning Models 3

Enhancing Air Quality Index Forecasting through Machine Lear...

引用

3rd International Conference on Intelligent Systems, Advanced computing, and Communication, ISACC 2025

作者： Reddy, Kamalapuram Vigneswara Begum, Chimakurthy Mounika Neeraja, Adhi Jyotsna, C. Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering India

ISBN: (纸本)9798331523893

Air pollution poses serious health risks, including respiratory issues and hospitalization. This study focuses on predicting the Air Quality Index (AQI) in Delhi, leveraging data from monitoring stations and machine learning models like linear regression, support vector regression, and tree-based methods such as decision trees and random forests. Results show that the Decision Tree Regressor outperformed other models, achieving the lowest Root Mean Squared Error (RMSE) and highest R-squared (R2) values. Incorporating and advanced preprocessing enhanced accuracy, addressing seasonal variations in air quality data. The findings emphasize the value of machine learning in accurate AQI forecasting, supporting policy decisions, and improving urban air quality management. This research highlights the critical role of predictive models in mitigating air pollution's impact and protecting public health while suggesting pathways for future advancements in real-world applications. © 2025 IEEE.

关键词： Air quality

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UNet-VT: Integrating U-Net and Vision Transformers for Enhancing Brain Tumor Segmentation in MRI scans 3

UNet-VT: Integrating U-Net and Vision Transformers for Enhan...

引用

3rd International Conference on Machine Learning and Data Engineering, ICMLDE 2024

作者： Kannan, Srinidhi Suryamritha, M. Balaji, Varshini Singh, Rimjhim Padam Department of Computer Science Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

The earlier detection of brain tumour with enhanced accuracy has revolutionized medical image analysis leading to efficient diagnosis and real time patient treatment. Several DL-based methods have been proposed when it comes to extracting important features from an MRI image. Hence, in the present study, the investigators develop a new architecture, termed as UNet-VT using Brain Tumor Image Segmentation Benchmark (BRATS) 2020 to segment the tumor more automatically. To achieve the exact type of segmentation for the comparative performance analysis, a few other recent models have also been trained. Hence, the findings offer enhanced clinical and research use by providing accurate tumor segmentation. This makes it easier to plan for each patient since it assures that the course of treatment can be altered depending on features of each tumor. All in all, UNet-VT can be considered one of the best models for brain tumor segmentation with the highest scores of Dice coefficient 80.45% and mean IOU 89.5%.Thus, the higher segmentation accuracy and reliability of the proposed method can facilitate the development of the custom treatment plans and thereby constitutes a valuable tool for researchers and clinicians. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Image segmentation

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Securing Wireless Communication: A Comprehensive Arduino-based Approach 3

Securing Wireless Communication: A Comprehensive Arduino-bas...

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3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Navaneeth, M. Vamsi Krishna, K. Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This research aims at developing Arduino solutions to improve the security of wireless communication systems for this work and to present a broad intervention plan for achieving this aim. Incorporating the features of Arduino microcontrollers the system has the potential of mitigating some of the weak wireless communications paradigms. The methodology consists in applying the use of such measures as the encryption algorithms and authentication and the use of secure data transmission protocols. The approach, proposed, not only enhances the security of wireless communication but also is cost effective and easy to install. In this respect, it is hoped that the outcomes of the project will offer effective and efficient solutions for implementing quality security elements for wireless transmission with practical and experimental *** purpose of this work is to generate and transmit the text message through a wireless communication system in a secured way. This facility prevails in the mobile network for which the user pays for it, whereas the system designed here can be used as personal communication system and information can be transmitted at free of *** result of the work is expected to be a secure information transmission with wireless technology implemented and encrypt the data that need to be transmitted without letting interception of a third party and reach the destination, convert and decrypt the message into readable *** work more particularly targets at reducing some of the risks associated with present wireless communication systems through use of effective encryption and authentication. The results are expected to include a major decrease in the interception risks, as well as the effective and safe text message transmission with real-world evidence as proof. © 2025 IEEE.

关键词： Microcontrollers

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Plant Care System with Automated Watering and Lighting for Optimal Growth 3

Plant Care System with Automated Watering and Lighting for O...

引用

3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Anil Kumar, Ch. GnanaDeep, K. Pavan, M.M.S. Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bangalore India

ISBN: (纸本)9798331527549

This research is interested in the design of an autonomous plant care system for optimal growth and it controls the supply of water and lighting in real time. Its application is, of course, best suited to indoor plants or greenhouses as sensors monitor both soil moisture and temperature and light intensity. Thus, all these current developed methods including drip irrigation systems, self-watering pots, grow lights with timingers, IoT-based plant monitors, and greenhouse climate controllers are only partially achieved and are done with the direct intervention of a human. So, the objective of the research is to design an automated system with integration of sensors and a controller from Arduino such that the plants continue growing healthy without the physical presence of the user due to its low maintenance. The question of human intervention in existing plant systems is considered in this research by designing an efficient, low-maintenance, and cost-effective solution for multiple plants with a focus on a solar-powered Arduino-based controller which uses the data received from incorporated soil moisture and light intensity sensors to guarantee plant growth without further human interference. © 2025 IEEE.

关键词： Soil moisture

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Smart Glasses for Blind Assistance: A Lightweight and Ergonomic Approach 3

Smart Glasses for Blind Assistance: A Lightweight and Ergono...

引用

3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Shreevatsan, S.S. Annambhotla, Yasasree Lasya Reji, Anaswara Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

Individuals who are blind or have reduced vision often struggle to navigate their environments, as traditional tools like canes offer limited information. While smart glasses have the potential to assist, existing models face challenges such as being heavy, uncomfortable, expensive, and lacking effective features for real-time navigation. These limitations hinder usability and diminish the overall user experience. This work presents a cost-effective prototype of lightweight and ergonomic smart glasses designed to enhance navigation and safety for individuals with visual impairments. By integrating obstacle detection sensors, real-time feedback mechanisms, and a user-centric design, the proposed solution aims to promote mobility, independence, and comfort while remaining accessible to a wider user base. © 2025 IEEE.

关键词： Obstacle detectors

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Environmental Monitoring using LoRa and NodeMCU 3

Environmental Monitoring using LoRa and NodeMCU

引用

3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Mihir, D.V.S. Pavan, Baramkula Vishnu Datta Aralaguppi, Yogen Avinash Nair, Pranav Biju Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

Monitoring of environmental parameters in areas with a sparsely populated and less infrastructure is quite challenging due to issues such as high power consumption, limited range for transmission, and lack of scalability. The innovation of the system proposed here deals with these problems using an IoT-based monitoring system, using LoRa technology and NodeMCU microcontrollers. It can collect and transmit real-time data on temperature, humidity, air quality, and sound levels efficiently. Key outcomes of this research work are reliable range communication up to 2 km under line-of-sight conditions, minimal power consumption, and robust data integrity through sensor calibration and error-checking mechanisms. The solution, which is scalable and low-cost, is proven feasible in real-world applications, particularly in remote and underserved areas, and promises a great future enhancement, including range extension and energy harvesting. © 2025 IEEE.

关键词： Environmental monitoring

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Enhancing Underwater Image Captioning Using Transformer Models and Augmented Terrestrial Datasets

Enhancing Underwater Image Captioning Using Transformer Mode...

引用

2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Gamidi, Rohan Hemasri, M. Muppala, Tejaswi Vinitha Chowdary, A. Aiswariya Milan, K. Palaniswamy, Suja Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331508685

Underwater environments present unique challenges for image analysis due to light attenuation, scattering, and color distortion, which significantly degrade image quality. These facts make simple operations such as image captioning, which is crucial in marine sciences, search, and conservation, challenging. Current datasets such as Flickr8K contain mostly terrestrial images and do not possess features distinctive to underwater environments therefore direct training of models is not possible in this context. To cover this gap, the current work combines a Transformer-based image captioning model with an enhanced underwater-specific image augmentation set. These augmentations mimic real-life underwater consequences such as RGB attenuation, Gaussian blur, muddy particles, noise, and gradient-based illumination distortions. The implemented model, learned and recursively tuned on the Flickr8k dataset, proves the ability to generate reasonable captions for underwater images even though the dataset belongs to Flickr8k providing a terrestrial environment. This is proven by the enhanced BLEU scores as well as from the results of the experiment which trained the translation model in less than ten percent of the dataset to show its flexibility on underwater scenarios but without necessitating the use of an underwater dataset. © 2025 IEEE.

关键词： Underwater imaging

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Real-Time Performance Analysis of Multi-Armed Bandit Solution for OBSS and Dynamic Channel Bonding in WLAN 7

Real-Time Performance Analysis of Multi-Armed Bandit Solutio...

引用

7th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2025

作者： Remya, P.R. Govindarajan, J. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798331507022

Rapid expansion of dense Wi-Fi network deploy-ments creates challenges in optimizing performance. Existing multi-armed bandit (MAB) solutions for dynamic channel bonding (DCB) and overlapping basic service set (OBSS) issues are tested using simulations. This research aims to identify the gaps in current solutions through real-time performance analysis. Along-side this primary objective, we proposed a modified exploration-first algorithm to minimize convergence time. This secondary objective helped us achieve the primary objective. The results demonstrate that our algorithm can adapt to dynamic Wi-Fi environments and improve the user experience. We also present a summary of the inferences from the primary objective study. © 2025 IEEE.

关键词： Dynamic Channel Bonding Exploration-First MAB OBSS WLAN

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Radius-Based Authentication: UFrames’ Novel Approach to Prevent Account Sharing 5th

Radius-Based Authentication: UFrames’ Novel Approach to Pre...

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5th International Conference on computing and Network Communications, CoCoNet 2023

作者： Vardhan, D. Sai Tanmayi, Doddapaneni Rakesh, Kakaraparthi Sreevidya, B. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9789819745395

OTT platforms such as Netflix and Amazon Prime have been in the market for more than a decade. They have come to full-fledged usage especially during the lockdown. The main reason for their magnanimous success is ease of use and feasibility to access unlimited content anywhere and anytime with basic Internet connection. The features in OTT have made accessing the content and viewing the content easy and delightful for the users. However, the "sharing account" option enabled for a single user to access the content from multiple devices is instead being used to share one account among multiple users, negatively affecting the business of OTT creators. In this paper, the focus is to build an OTT platform that proves advantageous to both users and providers. Besides the prevailing features that are found across platforms, including sign-in and sign-up functionalities, categorized content selection, and payment options, the proposed system enables automatic sign-out when the non-primary device strays beyond range from the primary device, content uploading, and more. Furthermore, there is a proposal to implement a GPS technology-based mechanism aimed at preventing users from sharing their accounts with others. The proposed approach conceptually and experimentally proves to be beneficial to the OTT platforms from a business perspective. The scheme is able to prevent users from sharing the account beyond a geographical limit, thus improving the profit. At the same time, these stringent requirements are developed in such a way that a balance is made between user experience, ease of use experience along with improved security measures. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Global positioning system

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