Category Archives: Uncategorized

Development of Groundwater Flow Model in a Coastal Watershed
Authors:-Assistant Professor Sridhar N, Assistant Professor Divagaran R, Madhav S, Harish R

Abstract- The groundwater flow models have been used to demonstrate groundwater movement principles. This paper presents development of groundwater flow model using Visual MODFLOW of the Adappa coastal watershed. In this study, the watershed is divided into three zones and the aquifer properties are assigned based on lithology of the watershed. The assigned aquifer properties, such as hydraulic conductivity: 5 and 10m/day, Specific yield: 0.16 to 0.20 and porosity: 0.25 to 0.4 are given as input to the model. The appropriate engine and solver parameters are chosen based on the requirements and the model is simulated. The boundary conditions are assigned based on the recharge of the study area. The recharge rate from rainfall is 15% in all three zones of the watershed since it is attributed to the presence of clay, clayey sand, and sandy clay. Groundwater model should be calibrated and validated before it is used for any predictions or decision-support. The calibration is made for 1460 days in the period of January 2007 to December 2011 and the period of 2012-2013 is used for model validation process. After running the model, the output of the groundwater flow model is viewed in two dimensions. The calculated vs. Observed head indicates the calculated heads almost matching the observed heads. In this coastal watershed, the groundwater flow direction is towards the sea and the rivers. But in some places along the coastal line, groundwater moves towards the inland area which is due to the inward flow of saline water intrusion and towards the sea near the coastal line. The model also used to simulate possible future changes to hydraulic head or groundwater flow rates as a result of future changes in stresses on the aquifer system.

DOI: 10.61137/ijsret.vol.10.issue2.313

Published by: Kajal Tripathi

Dynamic Efficient Solar Panel Fault Detection with Optical Wireless Charging for Electric Vehicle
Authors:-R.Deebika, J.Devadharshini, S.Dharshini, M.Malini

Abstract- A flexible optical wireless power transfer (OWPT) method for the wireless charging of ground-based electric vehicles (EVs) is suggested and evaluated in this research. This concept proposes to locate energy storage devices, renewable energy resources, and laser transmitters in an overhead facility. To wirelessly charge aerial EVs, there are laser transmitters on the facility’s roof looking upward, and there are other laser transmitters on the ceiling pointing downward to wirelessly charge ground EVs. This concept proposes to locate energy storage devices, renewable energy resources, and laser transmitters in an overhead facility. To wirelessly charge ground EVs, there are light transmitters pointed downward on the facility’s roof. The distinct existence of maximum power and energy points are acquired from the roof-top photovoltaic panel PV based on new design construction. This work presents an EV charging system that makes use of solar energy from car roofs and is backed by a battery energy storage (BES) system for parking spaces and mobility. Lastly, the results’ implications for ground-based electric vehicle design are discussed. Wireless power transfer technology indicates that the suggested dynamical OWPT system is more efficient.

DOI: 10.61137/ijsret.vol.10.issue2.305

Published by: Kajal Tripathi

Wireless Bypass Charging System for E-Vehicle Using Darrieus
Authors:-Assistant Professor Dr. Pon Partheeban, Aarthi, Sreeba.S, Tamil.4, Uvashree.U.V

Abstract- This paper presents a comprehensive review of ex- isting charging technologies for Electric Vehicles (EVs), followed by a proposed solution based on distributed transmitter coils supplied by parallel resonant inverters. The system employs sequential energization of coils depending on the position of the receiver coil mounted on the vehicle, utilizing Inductive Power Transfer (IPT) technology. This ground-breaking tech- nique of magnetic induction wireless charging eliminates the requirement for physical connections between the vehicle and charging infrastructure. Power is wirelessly delivered from the charging station to the vehicle through electromagnetic fields, with both transmitter and receiver coils resonating at the same frequency. The growing interest in such technologies stems largely from the EU Air Quality Directive of 2008, which established strict CO2 footprint limitations that internal combustion ve- hicles struggle to meet. These regulations apply to both light vehicles and heavier transport options like trucks and buses, which are significant contributors to particulate matter (PM) and nitrogen oxide emissions in urban areas. While widespread EV adoption promises significant pollution reduction in cities, potential customers remain concerned about limited charging infrastructure and range anxiety. The proposed wireless charging solution offers users seamless experiences by enabling charging without the constraints of cords or plugs. This innovation has the potential to revolutionize the automotive sector by providing increased mobility, convenience, and efficiency in how EVs are powered, ultimately accelerating the transition to sustainable transportation.

DOI: 10.61137/ijsret.vol.10.issue2.309

Published by: Kajal Tripathi

Tribal Welfare Application Using Artificial Intelligence
Authors:-Associate Professor Dr. F R Shiny Malar, Albert.G, Denishlin Hersho.M, Girinath.R, Subitha.S.K

Abstract- Every day new technology is arriving and billions of people were connected to the Internet. Purchasing goods, groceries, clothes everything is online. He or She can able to place the order from their smart phone within a minute. But, Farmers are still lack of benefitting from the internet. As we all knew that Farmers are the backbone of our country and without them, we can’t complete a day. Well, this idea is completely dedicated to farmers and helps them in generating good profitable revenue by using our platform. This is an online e-Commerce platform that enables a farmer to buy or sell anything related to the agriculture and farming category by simply creating an account. Strictly all vendors are farmers since it is dedicated to them. The ultimate objective of the idea is to help a farmer with good revenue for their goods. Nowadays smart phone is like a coin in a pocket. So, it’s not a big question of thinking about smart phones with a farmer. Also, most of them are already familiar with social media accounts and it is quite easy to play with our online e-platform. Our project aims to revolutionize tribal welfare by creating a digital marketplace where farmers can easily sell their products and customers can seamlessly find what they need. Leveraging the power of Artificial Intelligence (AI), customers can use their smart phones to visually search for products without the need for typing detailed descriptions. This innovative approach not only streamlines the buying process but also empowers tribal farmers by providing them with a platform to showcase their goods to be a broad audience. Through this project, we envision bridging the gap between farmers and consumers, fostering economic growth, and promoting sustainable livelihoods within tribal communities.

DOI: 10.61137/ijsret.vol.10.issue2.308

Published by: Kajal Tripathi

Electronic Health Record Management with Two Factor Authentication Using Blockchain
Authors:-Associate Professor Dr. A Selva Reegan, Ashika.M, Minisha.P, Pridni.M, Rahini.I

Abstract- The “Secure Blockchain-Based Electronic Health Record Management with Two- Factor Authentication” project presents a practical and innovative solution to the challenges of medical data security. This project presents a solution by combining the power of blockchain technology with a sophisticated two-factor authentication (2FA) mechanism to create a comprehensive and secure environment for managing electronic health records. In this system, patients, doctors, and secure cloud server interact seamlessly, ensuring the privacy, security and transparency of electronic health information. The project begins with user registration and authorization, where patients and doctors undergo a robust authentication process facilitated by the cloud server. Two-Factor Authentication (2FA) enhances login security, providing a foundation for trust in the system. Patients can initiate key requests for data encryption, and the cloud server, acting as a key manager, securely generates encryption keys, fortifying the protection of healthcare records. The blockchain, with its decentralized and immutable ledger, ensures the integrity of patient records, offering transparency across the entire healthcare network.

DOI: 10.61137/ijsret.vol.10.issue2.307

Published by: Kajal Tripathi

Smart Navigation: Real-Time Traffic Sign Recognition Using CNNs
Authors:-Mr. R.V. Viswanathan, K. Ashik, M.Chandru, R. Gokulnath

Abstract- In today’s dynamic road environments, ensuring driver safety and efficient navigation is paramount. This paper introduces an innovative method to tackle the challenge by integrating Convolutional Neural Networks (CNNs) for real-time traffic sign identification and auditory notifications. The system provides comprehensive support for drivers in understanding traffic signs. Traffic signs are crucial for delivering vital information to drivers, but factors like poor weather conditions and driver distractions can hinder quick recognition. Our CNN-based solution addresses these issues by precisely detecting and categorizing different types of traffic signs, such as warning, prohibition, and informational signs, across various environmental settings. Furthermore, our system enhances driver awareness by providing auditory alerts alongside visual cues. When a TTS library is integrated, recognized signs can be translated into clear spoken alerts, providing drivers with timely and useful information. Our method has the potential to improve traffic safety, provide drivers with on-the-spot decision support, and further the development of intelligent transportation systems.

DOI: 10.61137/ijsret.vol.10.issue2.303

Published by: Kajal Tripathi

Enhancing Network Security through DIPS
Authors:-J. Sathishkumar, K. Dhanush, K. Aneesh, B. Vigneshwaran

Abstract- Network Intrusion Detection Systems (NIDS) play a crucial role in protecting computer networks from unauthorized access and harmful activities. This paper investigates the use of Machine Learning (ML) techniques to improve the effectiveness of NIDS in detecting network intrusions. The approach involves gathering a comprehensive dataset of both legitimate and malicious network traffic, extracting important features, and labeling data for supervised learning. Various machine learning models, such as Decision Trees, XGBoost, and Artificial Neural Networks, are assessed for their ability to differentiate between normal and malicious network behavior. The models are rigorously tested and fine-tuned to ensure precise and dependable intrusion detection. Additionally, the system notifies the user through reporting. For real-time operation, the ML-powered NIDS continuously monitors network traffic using a Denial of Intrusion Detection and Prevention System (DIPS), offering the capability to adjust to evolving conditions and new threats.

DOI: 10.61137/ijsret.vol.10.issue2.302

Published by: Kajal Tripathi

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Submit Your Paper  / Check Publication Charges

International journal for scientific research and engineering trends is an online international journal which provides open access to all readers looking for scientific research studies as per current scenario.

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Published by: Neeraj Mishra

Assessment of Voids Ratio and Porosity Using Polypropylene and Coir Fibers in Geopolymer Concrete Pavers
Authors:Kavipriya S, Logesh R, Barat R, Mohamad Aarif J

Abstract- The clay In this paper, the influence of incorporating organic and inorganic fibers into geopolymer concrete paver blocks was studied. One organic fiber, one inorganic fiber and hybrid fibers were used in the concrete. Coir fiber was used as organic fiber. Polypropylene fiber was used as inorganic fiber. Geopolymer concrete pavers were cast and mixed with different percentages of fibers into the concrete. And the durability properties such as permeability and sorptivity test results were analyzed in geopolymer concrete pavers. Test results of geopolymer concrete pavers mixed with fibers were compared and analyzed with geopolymer concrete pavers without fibers and conventional paver blocks. Hexagonal pavers of size 27 x 23.5 x 5 cm were cast as per IS15658:2006. Low calcium flyash of class F was used as main source material. Quarry rock dust was utilized as fine aggregate. Sodium hydroxide and sodium silicate were used as stimulator solution.M30 grade of concrete was cast with 16 M concentration of sodium hydroxide. Specimens were cured under elevated temperature of 90℃ for 48 hours. Test results shows that specimens cast with hybrid fibers ie., with polypropylene and coir fibers results better in durability properties compared to normal conventional paver blocks and geopolymer concrete pavers blended only with polypropylene fibers. Also geopolymer concrete pavers without fibers results poor in durability properties test results.

DOI: 10.61137/ijsret.vol.10.issue1.200

Published by: Kajal Tripathi

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Published by: Neeraj Mishra