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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Amala Justus Selvam, M. Inbamalar, T.M. Astle rose, T. Balaji, K.r. Bharathi Prasad, M. Cherukuri Easwar, M. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Automobile Engineering Avadi India R.M.K. College of Engineering and Technology Electronics and Communication Engineering Puduvoyal India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376425

While fire breaks out in a warehouse, it blows out and cause damage to property as well as life. It is important for the companies to take their fire safety seriously in warehouses. Efficient way is to avert fire before its occurrence. Hence, it is important to detect the occurrence of fire early and act instantaneously. In view of this, a hybrid method has been proposed using information communication technology. Image processing and sensor based technologies has been used to detect the fire. An alarm system has been provided to alert the people in and around the warehouse. It has been proposed to send Short Message Service (SMS) to the remote fire station in order to enable the fire station to attend the place early. Also, Facility has been incorporated to send SMS to Electricity Board (EB) so that they can put off EB supply in that area, thereby further spreading of fire can be minimized. Hence, the proposed work will be useful for controlling the fire accidents in warehouses. © 2024 IEEE.

关键词： Fire detectors

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An Intelligent System for Amputees Using IoT and Machine Learning 1

An Intelligent System for Amputees Using IoT and Machine Lea...

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1st International Conference on Emerging technologies and Innovation for Sustainability, EmergIN 2024

作者： Manivannan, d. devendranath, K. Vamsi Krishna, K. Sathiya Priya, S. Kumar, N. Sameer Manikandan, N.K. Department of Computer Science & Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai 600062 India

ISBN: (纸本)9798350391268

This paper introduces the system for amputees and makes use of their daily activities without others intervention. The accidents caused for them will lead to their leg being lost. So that it is difficult for them to manage. Sometime while walking, the artificial leg loses out, and they may be in danger of falling down. For making them beneficial, this system is proposed. It then provides actionable feedback to enhance postural alignment, lessen discomfort, and avoid chronic musculoskeletal problems. The Arduino device is interfaced with MPU6050, which will give the data . The data is analyzed by an algorithm;if there are any abnormalities, it will detect them, and it will process the data and alert the person. These will also be useful to another person to keep an eye on their health. The system uses an Inertial Measurement Unit (IMU) with a 3-axis gyroscope and accelerometer to continuously monitor posture data. This data is sent to a cloud server and analyzed using machine learning algorithms. A mobile app alerts users if an incorrect posture is detected, helping them avoid discomfort. The architecture consists of wearable sensor devices and algorithms, and they are used for better accuracy, with machine learning being used to classify postures and ensure timely feedback. obtained accuracy using the algorithm is 98.26, which is more suitable for this project. © 2024 IEEE.

关键词： 3-axis Gyroscope Cloud Server Health Monitoring Machine Learning Postural Alignment Support Vector Machine Wearable Sensors

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Vegetable oils in minimum quantity lubrication: a comparative analysis of properties and performance

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Interactions 2024年第1期245卷 1-20页

作者： Vasudevan, Balaji Nagarajan, Lenin Nachippan, N. Murugu Mahadevan, Sivasubramanian Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Tamil Nadu Chennai600 062 India Automobile Engineering Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Tamil Nadu Chennai600 062 India Automobile Engineering Easwari Engineering College Chennai India Automobile Engineering Kalasalingam Academy of Research and Education Tamil Nadu Krishnankoil626 126 India

Environmental regulations and sustainability concerns drive the development of eco-friendly cutting fluids in manufacturing. This review paper focuses on the performance of vegetable-based cutting fluids with extreme pressure additives in machining processes. Minimum Quantity Lubrication (MQL) is gaining traction as a sustainable alternative to traditional flood cooling in machining. This review article investigates the effectiveness of MQL utilizing different vegetable-based cutting fluids. Analyze research findings on the influence of these fluids on crucial machining parameters like cutting force, temperature, surface finish, and tool wear. Additionally, the review explores the impact of specific vegetable oil types on machining outcomes. This comprehensive analysis will guide researchers and industry professionals towards adopting MQL with vegetable oils for sustainable and efficient machining processes. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Environmental regulations

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Analysing various algorithms applied to Alzheimer's disease dataset to help the Future Generation 2

Analysing various algorithms applied to Alzheimer's disease ...

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2nd IEEE International Conference on Intelligent and Innovative technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Athinarayanan, S. Navaz, K. Tamilselvi, P. Shajeena, J. Vishwa Priya, V. Joel, M. robinson School of Computing Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Cse Chennai Tamil Nadu Avadi600062 India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Avadi Chennai600062 India Vels Institute of Science Technology and Advanced Studies Department of Computer Science Chennai600117 India Vels Institute of Science Technology and Studies Department of Computer Science Chennai India Kings Engineering College Department of Information Technology Chennai India

ISBN: (纸本)9798350306415

A sort of brain illness that affects the brain is Alzheimer's. Nowadays, older adults are more likely to have these ailments. People who have this illness have very poor memories and decreased memory. Additionally, their brain isn't working correctly. As a result, their regular practice is progressively beginning to decline. Alzheimer's is a kind of dementia for which there is no definitive treatment. This essay will help us learn more about Alzheimer's illness. We shall learn more about its causes, symptoms, and remedies. Additionally, we investigate several illness prediction methods employing Graph Neural Networks denoted as GNNs. decision Tree, random Forest algorithms, and more. However, the random forest classifier gave good results with 86% accuracy and good recall values. © 2024 IEEE.

关键词： Alzheimer dementia GNN Graph Neural Network Prediction

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design of Compact dual-Band Antenna for IOT Applications 3

Design of Compact Dual-Band Antenna for IOT Applications

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： rajeswari, P. Sandhya, S. Lydia Jerish, J. Vigneshwari, G. Gopinath, A. Anandan, M. Velammal College of Engineering and Technology Department of Electronics and Communication Engineering Madurai India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508456

dual-band antennas play a crucial role in IoT applications, ensuring reliable wireless connectivity for smart homes, healthcare, industrial automation, and sensor networks. These antennas must be compact, efficient, and capable of operating across multiple frequencies for reliable data transmission. A microstrip patch antenna designed to operate at 2.4 GHz and 5.8 GHz fulfills these requirements. It is constructed using a rogers rO4003C substrate with a dielectric constant of 3.38 and a thickness of 0.508 mm., ensuring minimal loss and high performance. Its compact dimensions are optimized for efficient radiation and impedance matching. The proposed design offers advantages such as stable dual-band operation, low return loss, and improved gain, making it well-suited for IoT communication. Simulation results show return loss values of -19.063 dB and -27.752 dB, with corresponding gains of 0.323 dBi and 3.142 dBi, demonstrating its effectiveness in supporting reliable wireless connectivity in IoT applications. © 2025 IEEE.

关键词： Microstrip antennas

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A Comparative review of AI-Generated vs real Images and Classification techniques 4

A Comparative Review of AI-Generated vs Real Images and Clas...

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4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Muthaiah, U. divya, A. Swarnalaxmi, T.N. Vidhyasagar, B.S. Amrita School of Computing Amrita Vishwa Vidhyapeetham Chennai India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331529635

Images often play a crucial role in art, data analysis, and communication. Images visually represent the physical world. With the development of AI, differentiating between AI-generated and real images has become very difficult over time. So in this review, we have focused on the techniques for forming images, which focus on real images and the images created by Stable diffusion and other such techniques. This paper aims to identify the differences between AI-generated and real images by understanding how they are generated, processed, and represented. A study on CNN techniques that can be utilized to classify AI and real images has been mentioned. The specific architecture of CNN such as VGG, EfficientNet, and resNet has been explored to find their effectiveness in the classification. In addition, an overview of available datasets has also been provided. This study provides a review of studies that classify AI or real images. This employs approaches such as StyleGAN, dALL-E, and Stable diffusion. The difficulties that these generation techniques present to the conventional models which include CNN, denseNet, resNet, and VGG are also interrogated. While resNet-50 and Swin-T models achieve good merit in practical applications, classifying images produced by advanced techniques such as ProGAN models is still a challenge. Our analysis incorporates an evaluation and comparison of classification models and their performance as well as directions for future work including the application of EfficientNet and hybrid models aimed at improving propositions on differentiating real and fake images by their accurate classification. © 2024 IEEE.

关键词： Gallium nitride

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IoT based Gas Leakage detection System 2

IoT based Gas Leakage Detection System

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2nd International Conference on Sustainable Computing and data Communication Systems, ICSCdS 2023

作者： Manjunathan, N. Muthulingam, S. Jaganathan, d. R&d Institute of Science and Technology Vel Tech Rangarajan Dr.Sagunthala Avadi Chennai India Malla Reddy Institute Engineering and Technology Hyderabad500100 India

ISBN: (纸本)9781665491990

In this study, a Smart Liquefied Petroleum Gas Leakage detector system based on the Internet of Things with the ESP8266 NodeMCU Module is designed and tested. The system uses an MQ-6 sensor, Ir flame sensor, solenoid valve, buzzer, and the Blynk application to monitor and control gas levels. Experimental methods were used to test the sensor response of the system at different distances. The maximum detected distance was found to be 7 cm. The LPG gas sensor value was tested at distances ranging from 1 cm to 10 cm and the average gas values were found to be 5467 PPM, 1052.6 PPM, 798 PPM, 557.4 PPM, 489 PPM, 387.2 PPM, 231.4 PPM, 152.4 PPM, 141.8 PPM, and 121.6 PPM at 1 cm, 2 cm, 3 cm, 4 cm, 5 cm, 6 cm, 7 cm, 8 cm, 9 cm, and 10 cm distances, respectively. The results showed that the system is able to control and monitor gas levels effectively. © 2023 IEEE.

关键词： Internet of things

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Experimental evaluation of thermal stress on the surface of butterfly specimen through irreversible colour change of thermal paint

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Materials Today: Proceedings 2022年 59卷 1768-1775页

作者： rupesh, P.L. raja, K. Sathyaseelan Sunil Kumar, K. Vijaydharan, S. Madan Mohan reddy, A. dinesh Kumar, P.T. Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Mechanical Engineering Rajalakshmi Institute of Technology Chennai India

Gas Turbines have been used effectively and extensively in jet propulsion and the sectors of electricity production. The flame produced due to combustion of air & fuel propagates through the gas turbine's parts. As the hot combustible gases flow through these components, high thermal stresses are imposed on these components. The material life of the individual elements of the gas turbine system depends on its operating temperature and thermal stress. To achieve higher efficiency, the operating temperature may be increased to a certain level. Temperature (or) thermal profiling of the engine components is mandatory to make the engine design reliable. Thermal paint used for temperature profiling of hot surfaces is estimated to be the structured method even after removing the heat source. The present research concentrates on the investigations on the evaluation of thermal stress induced on a hot specimen through the application of thermal paint. A butterfly specimen made of Mild Steel has been fabricated and used for the present experimental investigations. The current work also concentrates on the variation in the surface temperature of the specimen based on the heat input using the butterfly specimen. The colour change on the surface of the specimen has been related to temperature using the rGB values of colour through MATLAB's fuzzy logic. The results of the experimental investigation prove that the usage of thermal paint reveals the exact deal of stress developed thermally on the surface of the specimen based on the colour change. © 2022

关键词： Temperature

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Evaluation of engine characteristics of diesel engines fuelled with MWCNT nano additive doped hemp biodiesel blends

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Interactions 2024年第1期245卷 1-13页

作者： Nachippan, N. Murugu Padmanabhan, S. Vasudevan, Balaji Nagarajan, Lenin Balamurugan, P. Gopi, P. Automobile Engineering Easwari Engineering College Chennai India Automobile Engineering Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Tamil Nadu Chennai600 062 India Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Tamil Nadu Chennai600 062 India Mechanical Engineering Kalasalingam Academy of Research and Education Tamil Nadu Chennai626 126 India

The current study is to test and analyze the performance of a compression ignition engine powered by a blend of hemp biodiesel and multi-walled carbon nanotube (MWCNT) nano additive, with a special emphasis on engine parameters. By incorporating the MWCNT nano additive into the hemp biodiesel blends, prospective improvements in engine efficiency, emission reduction, and overall engine performance is noted. The study of these engine characteristics provides vital information into the viability and application of using hemp biodiesel blends in diesel engines but also sheds light on the effectiveness and influence of the MWCNT nano additive on the engine’s performance. Through a comprehensive experimental approach, including engine testing and data analysis, the effects of the hemp biodiesel-MWCNT nano additive blends on the engine’s operation and functionality are studied. The findings from this study show that the incorporation of MWCNT in hemp biodiesel gives a significant enhancement in brake thermal efficiency and hydrocarbon, carbon monoxide, and smoke emission reduction but a marginal increase in nitrogen oxide emission is observed compared to neat diesel. The results showed that the MWCNT additives improved combustion efficiency and reduced emissions. This research contributes to the present understanding of nano-enhanced biodiesel fuels;this paper offers a paradigm shift in improving renewable energy sources for IC engines. Novelty is in the application of MWCNTs to enhance performance and stability of hemp biodiesel as a potential route toward cleaner and efficient formulations of biodiesel. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： diesel engines

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The Impact of Strategic Asset Allocation in Mutual Funds on Investor Profitability 1

The Impact of Strategic Asset Allocation in Mutual Funds on ...

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1st International Conference on data, Computation and Communication, ICdCC 2024

作者： Chhavi Gupta, Pooja Mapari, Shrikant Saini, Shilpa Shammugam, raju Geeta University Panipat India Pune India Chandigarh University Mohali India Vel Tech Rangaranjan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9798331532956

Asset allocation in mutual funds is a strategic approach to diversifying investment portfolios by distributing funds across various asset classes such as equity, debt, stocks, and gold. The primary goal of asset allocation is to optimize portfolio performance under different market conditions, balancing risk and return. during the COVId-19 pandemic, equity mutual funds' asset allocation decisions were significantly influenced by market uncertainty. Funds prefer firms with lower risk profiles, higher financial flexibility, and larger asset sizes during the early stages of the pandemic, indicating a shift towards safer assets amidst heightened uncertainty. This trend reversed later, suggesting a dynamic response to evolving market conditions. Overall, asset allocation in mutual funds is a critical component of investment strategy, particularly during periods of market volatility. It requires a careful assessment of risk tolerance, investment goals, and market conditions to ensure a wellperforming and resilient portfolio. The pandemic has underscored the importance of agility and adaptability in asset allocation strategies, as funds navigate through unprecedented challenges and opportunities. © 2024 IEEE.

关键词： Investments

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